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      "identifier": "DD124B14-9907-49ED-9CB0-9C218FC0FB14",
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      "description": "The Fuel Economy Label and CAFE Data asset contains measured summary fuel economy estimates and test data for light-duty vehicle manufacturers by model for certification as required under the Energy Policy and Conservation Act of 1975 (EPCA) and The Energy Independent Security Act of 2007 (EISA) to collect vehicle fuel economy estimates for the creation of Economy Labels and for the calculation of Corporate Average Fuel Economy (CAFE). Manufacturers submit data on an annual basis, or as needed to document vehicle model changes.The EPA performs targeted fuel economy confirmatory tests on approximately 15% of vehicles submitted for validation. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules. Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML, and includes descriptive information on the vehicle itself, fuel economy information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, within the EPA data can accessed under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Datasets are segmented by vehicle model/manufacturer and/or year with corresponding fuel economy, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 1974 with early records being primarily paper documents which did not go through the same level of validation as primarily digital submissions which started in 2008. Early data is available to the public digitally starting from 1978, but more complete digital certification data is available starting in 2008. Fuel economy submission data prior to 2006 was calculated using an older formula; however, mechanisms exist to make this data comparable to current results.Fuel Economy Label and CAFE Data submission documents with metadata, certificate and summary decision information is utilized and made publically available through the EPA/DOE's Fuel Economy Guide Website (https://www.fueleconomy.gov/) as well as EPA's Smartway Program Website (https://www.epa.gov/smartway/) and Green Vehicle Guide Website (http://ofmpub.epa.gov/greenvehicles/Index.do;jsessionid=3F4QPhhYDYJxv1L3YLYxqh6J2CwL0GkxSSJTl2xgMTYPBKYS00vw!788633877) after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.",
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      "description": "The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for all types of vehicles (mobile sources of air pollution) excluding snowmobile, marine (diesel), and heavy duty engines whichsummary data is updated on an annual basis. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Clean Air Act, Energy Policy and Conservation Act (EPCA) and the Energy Independent Security Act (EISA) of 2007.",
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      "description": "The EV-GHG Mobile Source Data asset contains measured mobile source GHG emissions summary compliance information on light-duty vehicles, by model, for certification as required by the 1990 Amendments to the Clean Air Act, and as driven by the 2010 Presidential Memorandum Regarding Fuel Efficiency and the 2005 Supreme Court ruling in Massachusetts v. EPA that supported the regulation of CO2 as a pollutant. Manufacturers submit data on an annual basis, or as needed to document vehicle model changes. This asset will be expanded to include medium and heavy duty vehicles in the future.The EPA performs targeted GHG emissions tests on approximately 15% of vehicles submitted for certification. Confirmatory data on vehicles is associated with its corresponding submission data to verify the accuracy of manufacturer submissions beyond standard business rules.Submitted data comes in XML format or as documents, with the majority of submissions sent in XML, and includes descriptive information on the vehicle itself, emissions information, and the manufacturer's testing approach. This data may contain proprietary information (CBI) such as information on estimated sales or other data elements indicated by the submitter as confidential. CBI data is not publically available; however, CBI data can accessed within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollutants data includes CO2, CH4, N2O. Datasets are divided by vehicle/engine model and/or year with corresponding emission, test, and certification data. Data assets are stored in EPA's Verify system.Coverage began in 2011, with summary light duty data available to the public on request. Raw data is only available to select EPA employees.EV-GHG Mobile Source Data submission documents with metadata, certificate and summary decision information is stored in Verify after it has been quality assured. Where summary data appears inaccurate, OTAQ returns the entries for review to their originator.",
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      "description": "The Engine and Vehicle Compliance Certification and Fuel Economy Inventory contains measured emissions and fuel economy compliance information for light duty vehicles. Data is collected by EPA to certify compliance with the applicable fuel economy provisions of the Energy Policy and Conservation Act (EPCA) and The Energy Independent Security Act of 2007",
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      "description": "This asset includes compliance data (registrations and reports), including reports related to reformulated gasoline and conventional gasoline (anti-dumping), gasoline sulfur, mobile source air toxics (including gasoline benzene), sulfur content of on-road and non-road diesel fuel, and renewable fuels under 40 CFR Part 80; and includes registration and compositional information related to fuels and fuel additives under 40 CFR Part 79.",
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      "description": "The Mobile Source Emissions Regulatory Compliance Data Inventory data asset contains measured summary compliance information on light-duty, heavy-duty, and non-road engine manufacturers by model, as well as fee payment data required by Title II of the 1990 Amendments to the Clean Air Act, to certify engines for sale in the U.S. and collect compliance certification fees. Data submitted by manufacturers falls into 12 industries: Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, Snowmobile, Motorcycle & ATV, Non-Road Compression Ignition, Non-Road Small Spark Ignition, Light-Duty, Evaporative Components, Non-Road Large Spark Ignition, and Locomotive. Title II also requires the collection of fees from manufacturers submitting for compliance certification. Manufacturers submit data on an annual basis, to document engine model changes for certification. Manufacturers also submit compliance information on already certified in-use vehicles randomly selected by the EPA (1) year into their life and (4) years into their life to ensure that emissions systems continue to function appropriately over time.The EPA performs targeted confirmatory tests on approximately 15% of vehicles submitted for certification. Confirmatory data on engines is associated with its corresponding submission data to verify the accuracy of manufacturer submission beyond standard business rules.Section 209 of the 1990 Amendments to the Clean Air Act grants the State of California the authority to set its own standards and perform its own compliance certification through the California Air Resources Board (CARB). Currently manufacturers submit compliance information separately to both the EPA and CARB. Currently, data harmonization occurs between EPA data and CARB data only for Motorcycle & ATV submissions.Submitted data comes in XML format or as documents, with the majority of submissions being sent in XML. Data includes descriptive information on the engine itself, as well as on manufacturer testing methods and results. Submissions may include information (CBI) such as information on estimated sales, new technologies, catalysts and calibration, or other data elements indicated by the submitter as confidential. CBI data is not publically available, but it is available within EPA under the restrictions of the Office of Transportation and Air Quality (OTAQ) CBI policy [RCS Link]. Pollution emission data covers a range of Criteria Air Pollutants (CAPs) including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. Datasets are segmented by vehicle/engine model and year, with corresponding emission, test, and certification data. Data assets are primarily stored in EPA's Verify system. Data collected from the Heavy Duty Compression Ignition, Marine Spark Ignition, Heavy Duty Spark Ignition, Marine Compression Ignition, and Snowmobile industries, however, are currently stored in legacy systems the will be migrated to Verify in the future.Coverage began in 1979, with early records being primarily paper documents that did not go through the same level of validation as the digital submissions that began in 2005.Mobile Source Emissions Compliance documents with metadata, certificate and summary decision information is made available to the public through EPA.gov via the OTAQ Document Index System (http://iaspub.epa.gov/otaqpub).",
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      "description": "SmartWay helps companies benchmark their freight performance and improve fuel efficiency. This asset contains data collected by EPA for the program to calculate fuel efficiency metrics, fuel savings, and criteria pollutants (NOx & PM) emission rates associated with freight transportation operations.",
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          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "PIID",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
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      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The unique identifier of the specific award being reported.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances: ID by TAS- Program Activity-Object Class-\nAward-Direct Reimbursable"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191350a-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
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      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Parent Award Id",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The identifier of the procurement award under which the specific award is issued (such as a Federal Supply Schedule). Term currently applies to procurement actions only",
      "programCode": [
        "020:028"
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      "bureauCode": [
        "020:00"
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      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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        "@type": "org:Organization",
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        "en"
      ],
      "keyword": [
        "Award Balances: ID by TAS- Program Activity-Object Class-\nAward-Direct Reimbursable"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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          "title": "usaspending.gov",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
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          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
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    },
    {
      "conformsTo": [
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      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "FAIN",
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          "@type": "Location",
          "prefLabel": "USA"
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      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The Federal Award Identification Number (FAIN) is the unique ID within the Federal agency for each (non-aggregate) financial assistance award.",
      "programCode": [
        "020:028"
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      "bureauCode": [
        "020:00"
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        "hasEmail": "mailto:webb.brian@epa.gov",
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      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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          "title": "usaspending.gov",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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          "license": "https://edg.epa.gov/epa_data_license.html"
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      ],
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    },
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      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "URI",
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          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "Unique Record Identifier. An agency defined identifier that (when provided) is unique for every reported action.",
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      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      ],
      "keyword": [
        "Award Balances: ID by TAS- Program Activity-Object Class-\nAward-Direct Reimbursable"
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      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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      ],
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      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Program Activity Code",
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          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 200 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nCode of a specific activity or project as listed in the program and financing schedules of the annual budget of the United States Government.  ",
      "programCode": [
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      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      "keyword": [
        "Award Balances: ID by TAS- Program Activity-Object Class-\nAward-Direct Reimbursable"
      ],
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      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
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          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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          "license": "https://edg.epa.gov/epa_data_license.html"
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      ],
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    },
    {
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      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Program Activity Name",
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          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 200 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nName of a specific activity or project as listed in the program and financing schedules of the annual budget of the United States Government.  ",
      "programCode": [
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      ],
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      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      },
      "language": [
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      ],
      "keyword": [
        "Award Balances: ID by TAS- Program Activity-Object Class-\nAward-Direct Reimbursable"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
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          "@type": "dcat:Distribution",
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          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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    },
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      "license": "https://edg.epa.gov/epa_data_license.html",
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      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 83 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nCategories in a classification system that presents obligations by the items or services purchased by the Federal Government.",
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        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        {
          "description": "EPA File A submission to comply with the DATA Act.",
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      "identifier": "21914784-a583-11e8-98d0-529269fb1459",
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    },
    {
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          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
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      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
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          "@type": "Location",
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      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
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      "description": "Holds an attribute flag which specifies that the funding source of the associated data value is either a Direct or Reimbursable Funding Source.",
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          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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      ],
      "identifier": "219149e6-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Transaction Obligated Amount",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nObligation means a binding agreement that will result in outlays, immediately or in the future. Budgetary resources must be available before obligations can be incurred legally.",
      "programCode": [
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      "bureauCode": [
        "020:00"
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      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
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      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Transaction Obligated Amount"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21914c34-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Incurred Total By Award CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
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      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Appendix F of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nFor unexpired accounts:\nAmount of obligations incurred from the beginning of the current fiscal year to the end of the reporting period, net of refunds received that pertain to obligations incurred in the current year. Include upward adjustments of prior obligations. \n\nFor expired accounts:\nAmount of upward adjustments of obligations previously incurred. Upward adjustments are limited by the amount available for adjustments. No new obligations may be incurred against expired or canceled accounts.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
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      ],
      "contactPoint": {
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        "@type": "vcard:Contact",
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      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21914e82-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Undelivered Orders Unpaid Total CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nA legally binding agreement that will result in outlays, immediately or in the future.",
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        "020:028"
      ],
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        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219150c6-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL480100 Undelivered Orders Obligations Unpaid FYB",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of goods and/or services ordered, which have not been actually or constructively received and for which amounts have not been prepaid or advanced. This includes amounts specified in other contracts or agreements such as grants, program subsidies, undisbursed loans and claims, and similar events for which an advance or prepayment has not occurred. This account does not close at yearend. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) ",
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        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21915d28-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL483100 Undelivered Orders Obligations Transferred Unpaid CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of goods and/or services ordered and obligated in one Treasury Appropriation Fund Symbol (TAFS) and transferred to or from another TAFS, which have not been actually or constructively received and not prepaid or advanced at the time of transfer. This includes amounts specified in other contracts or agreements such as grants, program subsidies, undisbursed loans and claims, and similar events for which an advance or prepayment has not occurred. Although the normal balance for this account is credit, it is acceptable for this account to have a debit balance. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) ",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21915ff8-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL488100 Upward Adjustments Of Prior Year Undelivered Orders Obligations Unpaid CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of upward adjustments during the current fiscal year to obligations that were originally recorded in a prior fiscal year in USSGL account 480100,\"Undelivered Orders - Obligations, Unpaid.\" (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) ",
      "programCode": [
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        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
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      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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        }
      ],
      "identifier": "21916264-a583-11e8-98d0-529269fb1459",
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    {
      "conformsTo": [
        {
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          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
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      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Delivered Orders Unpaid Total CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nA legally binding agreement that will result in outlays, immediately or in the future. \n\n",
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        "fn": "Brian Webb"
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      },
      "language": [
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      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
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      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
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          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
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        }
      ],
      "identifier": "219164d0-a583-11e8-98d0-529269fb1459",
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    {
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      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Delivered Orders Unpaid Total FYB",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nA legally binding agreement that will result in outlays, immediately or in the future. \n\n",
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      "language": [
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      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
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      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
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      "identifier": "2191671e-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
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    {
      "conformsTo": [
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          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
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      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
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      ],
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      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
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          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
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      ],
      "identifier": "21916d9a-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
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    },
    {
      "conformsTo": [
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      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL493100 Delivered Orders Obligations Transferred Unpaid CPE",
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      "description": "The amount in USSGL account 490100, \"Delivered Orders - Obligations, Unpaid,\" transferred during the fiscal year to or from another Treasury Appropriation Fund Symbol. This includes amounts accrued or due for: (1) services performed by employees, contractors, vendors, carriers, grantees, lessors, and other government funds; (2) goods and tangible property received; and (3) programs for which no current service performance is required such as annuities, insurance claims, benefit payments, loans, etc. Although the normal balance for this account is credit, it is acceptable in certain instances for this account to have a debit balance. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) ",
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      "modified": "2020-08-05",
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      "dataQuality": true,
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        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
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      ],
      "identifier": "21917268-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
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    {
      "conformsTo": [
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      "issued": "2018-08-14",
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      "title": "USSGL498100 Upward Adjustments Of Prior Year Delivered Orders Obligations Unpaid CPE",
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      ],
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      "description": "The amount of upward adjustments during the fiscal year to USSGL account 490100, \"Delivered Orders - Obligations, Unpaid,\" or USSGL account 490200, \"Delivered Orders - Obligations, Paid,\" that were originally recorded in a prior fiscal year. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.)",
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      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Obligations Incurred Total by Award"
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      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
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        {
          "description": "EPA File A submission to comply with the DATA Act.",
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      "identifier": "219174ac-a583-11e8-98d0-529269fb1459",
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    {
      "conformsTo": [
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      ],
      "describedBy": {
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        {
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        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
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      "identifier": "2191770e-a583-11e8-98d0-529269fb1459",
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    {
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      "keyword": [
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        {
          "accessURL": "https://api.usaspending.gov",
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        {
          "description": "EPA File A submission to comply with the DATA Act.",
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      ],
      "identifier": "2191795c-a583-11e8-98d0-529269fb1459",
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    {
      "conformsTo": [
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      "keyword": [
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        {
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        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Award Balances (by TAS-Program Activity-\nObject Class-award-Direct Reimbursable): Deobligations Recoveries Refunds"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191abca-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Incurred By Program Object Class CPE ",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Appendix F of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nFor unexpired accounts:\nAmount of obligations incurred from the beginning of the current fiscal year to the end of the reporting period, net of refunds received that pertain to obligations incurred in the current year. Include upward adjustments of prior obligations. \n\nFor expired accounts:\nAmount of upward adjustments of obligations previously incurred. Upward adjustments are limited by the amount available for adjustments. No new obligations may be incurred against expired or canceled accounts.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191d2b2-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Undelivered Orders Unpaid Total FYB",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below. \n\nA legally binding agreement that will result in outlays, immediately or in the future.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191d82a-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL480100 Undelivered Orders Obligations Unpaid CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of goods and/or services ordered, which have not been actually or constructively received and for which amounts have not been prepaid or advanced. This includes amounts specified in other contracts or agreements such as grants, program subsidies, undisbursed loans and claims, and similar events for which an advance or prepayment has not occurred. This account does not close at yearend. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) ",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191da78-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL490100 Delivered Orders Obligations Unpaid FYB",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount accrued or due for: (1) services performed by employees, contractors, vendors, carriers, grantees, lessors, and other government funds; (2) goods and tangible property received; and (3) programs for which no current service performance is required such as annuities, insurance claims, benefit payments, loans, etc. (Per USSGL TFM Part 2, Section II, Accounts and Definitions.) This account does not close at year-end.  (Per USSGL TFM Part 2, Section II, Accounts and Definitions.)",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191f01c-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Gross Outlay Amount By Program Object Class CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nPayments made to liquidate an obligation (other than the repayment of debt principal or other disbursements that are “means of financing” transactions). Outlays generally are equal to cash disbursements but also are recorded for cash-equivalent transactions, such as the issuance of debentures to pay insurance claims, and in a few cases are recorded on an accrual basis such as interest on public issues of the public debt. Outlays are the measure of Government spending. \n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191f756-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Gross Outlay Amount By Program Object Class FYB",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nPayments made to liquidate an obligation (other than the repayment of debt principal or other disbursements that are “means of financing” transactions). Outlays generally are equal to cash disbursements but also are recorded for cash-equivalent transactions, such as the issuance of debentures to pay insurance claims, and in a few cases are recorded on an accrual basis such as interest on public issues of the public debt. Outlays are the measure of Government spending. \n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations",
        "Program Object Class"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2191fe04-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Deobligations Recoveries Refunds Of Prior Year By Program Object Class CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of downward adjustments to obligations and outlays incurred resulting from deobligations, recoveries, or refunds collected, at the TAS / Program Activity / Object Class level. The adjustments are to the obligations and outlays which were made in a prior year.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Deobligations",
        "Recoveries",
        "Refunds"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219228fc-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-14",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "USSGL487200 Downward Adjustments Of Prior Year Prepaid Advanced Undelivered Orders Obligations Refunds Collected CPE",
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of cash refunds during the current fiscal year resulting from downward adjustments to obligations that were originally recorded in a prior fiscal year in USSGL account 480200, \"Undelivered Orders - Obligations, Prepaid/Advanced.\"  (Per USSGL TFM Part 2, Section II, Accounts and Definitions.)",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Deobligations",
        "Recoveries",
        "Refunds"
      ],
      "modified": "2020-08-05",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21923b8a-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-21",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Total Budgetary Resources CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "Budgetary resources mean amounts available to incur obligations in a given year. Budgetary resources consist of new budget authority and unobligated balances of budget authority provided in previous years.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "budgetary resources",
        "budgetary reporting",
        "current period financial reporting"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21925912-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-22",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Budget Authority Appropriated Amount_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nAppropriation means a provision of law (not necessarily in an appropriations act) authorizing the expenditure of funds for a given purpose. Usually, but not always, an appropriation provides budget authority.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "budget authority appropriated",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21925be2-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-23",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Budget Authority Unobligated Balance Brought Forward_FYB",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Appendix F of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nFor unexpired accounts: Amount of unobligated balance of appropriations or other budgetary resources carried forward from the preceding year and available for obligation without new action by Congress. For expired accounts: Amount of expired unobligated balances available for upward adjustments of obligations. ",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "fiscal year beginning financial reports",
        "budget authority unobligated balance brought forward",
        "budget authority",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219261dc-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-24",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Adjustments To Unobligated Balance Brought Forward_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Appendix F of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nChanges to unpaid obligations that occurred in a prior fiscal year and that were not recorded in the unpaid obligations as of October 1 of the current fiscal year. \n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "adjustments to unobligated balances brought forward",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "2192643e-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-25",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Other Budgetary Resources Amount_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nNew borrowing authority, contract authority, and spending authority from offsetting collections provided by Congress in an appropriations act or other legislation, or unobligated balances of budgetary resources made available in previous legislation, to incur obligations and to make outlays.\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "other budgetary resources",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219266b4-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-26",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Contract Authority Amount Total_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nContract authority is a type of budget authority that permits you to incur obligations in advance of an appropriation, offsetting collections, or receipts to make outlays to liquidate the obligations. Typically, the Congress provides contract authority in an authorizing statute to allow you to incur obligations in anticipation of the collection of receipts or offsetting collections that will be used to liquidate the obligations. ",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "contract authority",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21926902-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-27",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Borrowing Authority Amount Total_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nBorrowing authority is a type of budget authority that permits obligations and outlays to be financed by borrowing. \n\n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Borrowing authority amount",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21926b64-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-28",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Spending Authority From Offsetting Collections Amount Total_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nSpending authority from offsetting collections is a type of budget authority that permits obligations and outlays to be financed by offsetting collections.\n\nOffsetting collections mean payments to the Government that, by law, are credited directly to expenditure accounts and deducted from gross budget authority and outlays of the expenditure account, rather than added to receipts. Usually, they are authorized to be spent for the purposes of the account without further action by Congress. They usually result from business-like transactions with the public, including payments from the public in exchange for goods and services, reimbursements for damages, and gifts or donations of money to the Government and from intragovernmental transactions with other Government accounts. The authority to spend offsetting collections is a form of budget authority.\n\n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Spending Authority From Offsetting Collections Amount",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21926dc6-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-29",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Status Of Budgetary Resources Total_CPE",
      "": 43281,
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "This element addresses the status of budgetary resources and includes the total of obligated and unobligated balances, at the reported date. The value should equal the Budget Authority Available Amount Total for the TAS at Current Period End.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Status of Budgetary Resources",
        "Financial Statements",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219274e2-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-30",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Obligations Incurred Total By TAS_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Appendix F of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nFor unexpired accounts:\nAmount of obligations incurred from the beginning of the current fiscal year to the end of the reporting period, net of refunds received that pertain to obligations incurred in the current year. Include upward adjustments of prior obligations. \n\nFor expired accounts:\nAmount of upward adjustments of obligations previously incurred. Upward adjustments are limited by the amount available for adjustments. No new obligations may be incurred against expired or canceled accounts.\n\n\n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Obligations Incurred Total by TAS",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "219277c6-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-08-31",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Gross Outlay Amount By TAS_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nPayments made to liquidate an obligation (other than the repayment of debt principal or other disbursements that are “means of financing” transactions). Outlays generally are equal to cash disbursements but also are recorded for cash-equivalent transactions, such as the issuance of debentures to pay insurance claims, and in a few cases are recorded on an accrual basis such as interest on public issues of the public debt. Outlays are the measure of Government spending. \n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "Gross outlay amount",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21927a5a-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-09-01",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Unobligated Balance CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The definition for this element appears in Section 20 of OMB Circular A-11 issued June 2015; a brief summary from A-11 appears below.\n\nUnobligated balance means the cumulative amount of budget authority that remains available for obligation under law in unexpired accounts. The term “expired balances available for adjustment only” refers to unobligated amounts in expired accounts.\n \n\n",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "unobligated balance",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21927cc6-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
        }
      ],
      "issued": "2018-09-02",
      "license": "https://edg.epa.gov/epa_data_license.html",
      "title": "Deobligations Recoveries Refunds By TAS_CPE",
      "describedBy": {
        "accessURL": "https://www.fiscal.treasury.gov/fsservices/gov/data-trans/dt-daims.htm"
      },
      "description": "The amount of downward adjustments to obligations and outlays resulting from deobligations, recoveries, or refunds collected, summarized at the TAS level. The adjustments are to the obligations and outlays which were made in a prior year.",
      "programCode": [
        "020:028"
      ],
      "bureauCode": [
        "020:00"
      ],
      "contactPoint": {
        "hasEmail": "mailto:webb.brian@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Brian Webb"
      },
      "accessLevel": "public",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "language": [
        "en"
      ],
      "keyword": [
        "deobligations recoveries refunds",
        "budgetary reporting",
        "current period financial reporting",
        "A-11",
        "OMB Circular A-11"
      ],
      "modified": "2018-07-31",
      "accrualPeriodicity": "R/P3M",
      "dataQuality": true,
      "distribution": [
        {
          "accessURL": "https://api.usaspending.gov",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "accessURL": "https://www.usaspending.gov/agency/environmental-protection-agency",
          "description": "USAspending.gov is the official source for spending data for the U.S. Government. Its mission is to show the American public what the federal government spends every year and how it spends the money. You can follow the money from the Congressional appropriations to the federal agencies and down to local communities and businesses",
          "@type": "dcat:Distribution",
          "title": "usaspending.gov",
          "license": "https://edg.epa.gov/epa_data_license.html"
        },
        {
          "description": "EPA File A submission to comply with the DATA Act.",
          "title": "Raw Quarterly DATA Act Files - Environmental Protection Agency (EPA) / File A, Appropriations",
          "format": "text/csv",
          "mediaType": "text/csv",
          "downloadURL": "https://www.usaspending.gov/download_center/award_data_archive",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/epa_data_license.html"
        }
      ],
      "identifier": "21927f28-a583-11e8-98d0-529269fb1459",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "title": "List N- Disinfectants for Use Against SARS-CoV-2 (COVID-19)",
      "description": "EPA-registered antimicrobial products that meet the criteria for inclusion on EPA's List N- Disinfectants for use against SARS-CoV-2 (COVID-19). For each product the dataset includes the EPA registration number, the active ingredient, the primary product name and additional information including how the product should be applied and relevant use sites. ",
      "modified": "2020-08-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "OCSPP, OPP, AD"
      },
      "contactPoint": {
        "fn": "ITRMD Web Team",
        "hasEmail": "mailto:OPP_ITRMD_WEB_TEAM@epa.gov",
        "@type": "vcard:Contact"
      },
      "identifier": "b39dc7ac-dafc-4997-a8e8-2ef10f942ef1",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "bureauCode": [
        "020:00"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-03-05",
          "endDate": "2021-12-31"
        }
      ],
      "issued": "2020-03-05",
      "accrualPeriodicity": "R/P1W",
      "language": [
        "en"
      ],
      "dataQuality": true,
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/pesticide-registration/list-n-disinfectants-use-against-sars-cov-2-covid-19",
        "title": "List N- Disinfectants for Use Against SARS-CoV-2 (COVID-19)"
      },
      "programCode": [
        "020:084"
      ],
      "keyword": [
        "Biology",
        "Chemicals",
        "Emergency Response",
        "health",
        "Regulatory",
        "United States",
        "Disinfectant",
        "List N",
        "COVID-19",
        "COVID",
        "SARS-CoV-2",
        "coronavirus",
        "antimicrobial",
        "antiviral",
        "virus"
      ],
      "accessRights": "public"
    },
    {
      "title": "Certification Plan and Reporting Database (CPARD)",
      "description": "CPARD contains (1) EPA-approved State, Tribal and Federal certification plans required by the Federal Insecticide, Fungicide, Rodenticide Act to administer a certification program for applicators of restricted use pesticides; (2) information on plan reviews and approvals; and (3) State, Tribal and Federal annual reports required by 40 CFR 171. ",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pesticide Programs (OPP)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jeanne Kasai ",
        "hasEmail": "mailto:kasai.jeanne@epa.gov"
      },
      "bureauCode": [
        "020:00"
      ],
      "keyword": [
        "environment",
        "Management",
        "Pesticides",
        "Regulatory",
        "United States",
        "Alaska",
        "Hawaii",
        "Washington DC",
        "American Samoa",
        "Puerto Rico",
        "Virgin Islands",
        "Alabama",
        "Arizona",
        "Arkansas",
        "California",
        "Colorado",
        "Connecticut",
        "Delaware",
        "Florida",
        "Georgia",
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        "Illinois",
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    {
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      "description": "The Electronics Environmental Benefits Calculator (EEBC) was developed to assist organizations in estimating the environmental benefits of greening their purchase,  use and disposal of electronics. The EEBC estimates the environmental and economic benefits of: Purchasing Electronic Product Environmental Assessment Tool (EPEAT)-registered products; Enabling power management features on computers and monitors above default percentages;  Extending the life of equipment beyond baseline values;  Reusing computers,  monitors and cell phones; and Recycling computers,  monitors,  cell phones and loads of mixed electronic products. The EEBC may be downloaded as a Microsoft Excel spreadsheet.\nSee https://www.federalelectronicschallenge.net/resources/bencalc.htm for more details.",
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        "South Carolina",
        "South Dakota",
        "Tennessee",
        "Texas",
        "Utah",
        "Vermont",
        "Virginia",
        "Washington",
        "West Virginia",
        "Wisconsin",
        "Wyoming",
        "economy",
        "location",
        "Use",
        "Production Volume",
        "Recycling",
        "Physical Form",
        "Company",
        "Manufacturer",
        "TSCA"
      ],
      "modified": "2009",
      "identifier": "567dfc76-1bae-43c0-bc6c-a17f99df7979",
      "accessLevel": "public",
      "rights": [
        "Only TSCA CBI cleared individuals will be able to access the data asserted as CBI."
      ],
      "license": "https://www.epa.gov/chemical-data-reporting/access-cdr-data#2006",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005",
          "endDate": "2006"
        }
      ],
      "issued": "2009-03-09",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/chemical-data-reporting/access-cdr-data#2006",
        "title": "Inventory Update Rule "
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/chemical-data-reporting/access-cdr-data#2006",
          "title": "IUR datasets",
          "description": "The full IUR data sets are stored on the TSCA CBI LAN.  A public version of the 2006 IUR data is available on the Internet.",
          "format": " 2006IUR.zip contains 4 DBF files and an IUR_2006_Readme.doc file. The DBF files store the non-confidential IUR records for 2006.",
          "license": "https://www.epa.gov/chemical-data-reporting/access-cdr-data#2006"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Federal Lead-Based Paint Program (FLPP) Database",
      "description": "The FLPP Database system supports the application process for the accreditation of training providers and the certification of firms and individuals who performs lead based abatements and renovation and repair activities in the United States.",
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT) - Existing Chemicals Risk Management Division (ECRMD)"
      },
      "contactPoint": {
        "fn": "Robert Wright",
        "hasEmail": "mailto:wright.robert@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Environment",
        "Regulatory",
        "Toxics",
        "United States",
        "FLPP Firm Search",
        "FLPP Trainer Search",
        "FLPP Application Process"
      ],
      "modified": "2021-11-05",
      "identifier": "020-000014003",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "http://www.usa.gov/publicdomain/label/1.0/",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-06-03",
          "endDate": "2025-12-31"
        }
      ],
      "issued": "2021-11-05",
      "accrualPeriodicity": "R/P1M",
      "language": [
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      ],
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://resources.data.gov/"
        }
      ],
      "describedBy": {
        "accessURL": "https://project-open-data.cio.gov/v1.1/schema/catalog.json",
        "mediaType": "application/javascript"
      },
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://javaauth.epa.gov/flpp/",
        "title": "Federal Lead-Based Paint Program (FLPP) Database"
      },
      "references": [
        "https://www.epa.gov/lead"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://javaauth.epa.gov/flpp/",
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          "description": "The FLPP Database system supports the application process for the accreditation of training providers and the certification of firms and individuals who performs lead based abatements and renovation and repair activities in the United States.",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://cfpub.epa.gov/flpp/pub/index.cfm?do=main.firmSearch",
          "title": "Find RRP Firms",
          "description": "Public search tool to locate certified RRP Firms",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://cfpub.epa.gov/flpp/search.cfm?Applicant_Type=firm",
          "title": "Find Abatement Firms",
          "description": "Public search tool to locate certified Abatement firms",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://cdxapps.epa.gov/ocspp-oppt-leadhub/training-search?do=main.trainingSearch",
          "title": "Find RRP Trainers",
          "description": "Public search tool to locate accredited RRP Training Providers",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://cfpub.epa.gov/flpp/pub/index.cfm?do=main.trainingSearchAbatement",
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          "description": "Public search tool to locate certified Abatement Training Providers",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://cfpub.epa.gov/flpp/pub/index.cfm?do=main.individualSearch",
          "title": "Search for Individual Applicants to locate their information for certification",
          "description": "Public search tool link to apply for Individual Lead certifications ",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/lead/lead-renovationabatement-firm-certification-application-or-update",
          "title": "Search for Firm Application Process",
          "description": "Public search tool link to locate their information for Firm certification",
          "format": "API",
          "license": "http://www.usa.gov/publicdomain/label/1.0/"
        }
      ],
      "programCode": [
        "020:013"
      ],
      "systemofrecords": "http://www2.epa.gov/privacy/privacy-act-system-records-federal-lead-based-paint-program-system-records-epa-5",
      "primaryitinvestmentuii": "020-000014003",
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "This data extraction tool contains the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA). TSCA was enacted to ensure that chemicals manufactured,  imported,  processed,  or distributed in commerce,  or used or disposed of in the United States do not pose any unreasonable risks to human health or the environment. EPA adds chemical substances to the TSCA Inventory following EPAs receipt of a Notice of Commencement (NOC) signaling the manufacturers intent to produce a chemical substance that EPA has previously reviewed and approved. Since EPA published the final TSCA Inventory Reporting Rule on December 23,  1977,  the TSCA Inventory has grown to include the identities of over 83, 000 chemical substances.",
      "keyword": [
        "substance inventory",
        "chemical substance inventory",
        "new chemicals",
        "toxic chemicals",
        "chemical list",
        "existing chemicals",
        "manufactured chemicals",
        "tsca inventory",
        "industrial chemicals",
        "commercial chemicals",
        "toxic substances control act",
        "notice of commencement",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "TSCA Inventory Data Extraction Tool",
      "distribution": [
        {
          "accessURL": "https://www.epa.gov/tsca-inventory",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "issued": "2014-01-01",
      "modified": "2014-01-01",
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      ],
      "references": [
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      ],
      "accrualPeriodicity": "R/P6M",
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        }
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
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        "fn": "Dion Saxton, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "identifier": "4D49A8F7-9B38-44B0-966D-41D7A31856F8",
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      "accessRights": "public"
    },
    {
      "publisher": {
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        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "The E3 initiative is designed to help you thrive in a new business era focused on sustainability and,  working together,  to promote sustainable manufacturing and economic growth throughout the United States. Within the E3 framework,  we can: - Drive Innovation - Increase Manufacturing Productivity - Boost Local Economies - Reduce Environmental Impacts - Foster Development - Conserve Energy and Resources This website provides information and tools for E3,  including fact sheets,  contacts,  and calculators.",
      "keyword": [
        "economy",
        "economics",
        "energy",
        "environment",
        "sustainability",
        "resources",
        "best practices",
        "productivity",
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        "communities",
        "innovation",
        "tools",
        "calculators",
        "environment",
        "environment",
        "united states",
        "economy"
      ],
      "title": "E3: Economy - Energy - Environment; Supporting Manufacturing Leadership through Sustainability",
      "distribution": [
        {
          "accessURL": "https://www.epa.gov/e3/about-e3-economy-energy-environment",
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          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "issued": "2010-01-01",
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      "bureauCode": [
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      "references": [
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        "https://edg.epa.gov/metadata/rest/document?id=%7B7BECF83A-CE57-48E3-9650-B155DD48A8DF%7D"
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        }
      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:Guthrie.Christina@epa.gov",
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        "fn": "Christina Guthrie, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "identifier": "7BECF83A-CE57-48E3-9650-B155DD48A8DF",
      "@type": "dcat:Dataset",
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    },
    {
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        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "This tool is intended to aid individuals interested in learning more about chemicals that are manufactured or imported into the United States. Health and safety information on these chemicals,  primarily in the form of paper documents,  are routinely submitted by industry (manufacturers or importers of chemicals) to EPA under the Toxic Substances Control Act (TSCA).  EPA is in the process of converting these documents into electronic form and making non-confidential versions of these documents accessible through this tool.  The tool enables users to conduct both full text and metadata searches of these documents,  and presents these as .pdf for viewing or downloading.  The tool also queries existing EPA legacy database sources of chemical information and presents these data in a consistent format.",
      "keyword": [
        "chemicals",
        "chemical companies",
        "manufacturers",
        "toxic chemicals",
        "hpvis",
        "imported",
        "cas number",
        "tscats",
        "database",
        "8e",
        "health and safety studies",
        "tsca",
        "pollution",
        "pollutant",
        "compound",
        "toxicity",
        "chemical data access",
        "chemical search tool",
        "chemical access tool",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "Chemical Data Access Tool",
      "distribution": [
        {
          "accessURL": "https://java.epa.gov/oppt_chemical_search/",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "issued": "2010-01-22",
      "modified": "2014-01-01",
      "dataQuality": false,
      "bureauCode": [
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      ],
      "references": [
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      ],
      "accrualPeriodicity": "R/PT1S",
      "spatial": [
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        }
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:saxton.dion@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Dion Saxton, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "identifier": "2D73C764-6919-404D-8C9B-61869B3330D6",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
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        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "This dataset contains information on chemicals that company's produce domestically or import into the United States during the principal reporting year. For the 2012 submission period, reporters provided 2011 manufacturing, processing, and use data and 2010 production volume data for their reportable chemical substances.",
      "keyword": [
        "substance inventory",
        "chemical substance inventory",
        "tsca",
        "new chemical",
        "toxic",
        "manufacture.process",
        "use",
        "chemical reporting",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "Chemical Data Reporting rule (CDR)",
      "distribution": [
        {
          "accessURL": "https://www.epa.gov/chemical-data-reporting",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "issued": "2009-12-21",
      "modified": "2014-01-01",
      "dataQuality": false,
      "bureauCode": [
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      ],
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7B91CAEB15-8E6B-48D4-A223-3E2D9B4D4847%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B91CAEB15-8E6B-48D4-A223-3E2D9B4D4847%7D"
      ],
      "accrualPeriodicity": "R/P3Y",
      "spatial": [
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          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:Sirmons.Chandler@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Chandler Sirmons, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "identifier": "91CAEB15-8E6B-48D4-A223-3E2D9B4D4847",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "Search tool developed to provide stakeholders access to various TSCA chemicals, and health and safety information. The tool also provides EPA assessments and actions on Chemicals.",
      "keyword": [
        "health and safety data",
        "tsca chemicals",
        "assessments",
        "actions",
        "test rules",
        "significant new use",
        "hazard characterizations",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "ChemView",
      "distribution": [
        {
          "accessURL": "https://www.epa.gov/assessing-and-managing-chemicals-under-tsca/introduction-chemview",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "issued": "2012-02-11",
      "modified": "2014-01-01",
      "dataQuality": false,
      "bureauCode": [
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      ],
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7BFE8CC3EA-5D45-43D4-BDBE-4D55C4DFB66A%7D",
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      ],
      "accrualPeriodicity": "R/PT1S",
      "spatial": [
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        }
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:santacroce.jeffrey@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Jeff Santacroce, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "identifier": "FE8CC3EA-5D45-43D4-BDBE-4D55C4DFB66A",
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      "accessRights": "public"
    },
    {
      "publisher": {
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        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP) - Office of Pollution Prevention and Toxics (OPPT)"
      },
      "accessLevel": "public",
      "description": "This dataset contains a list of products that carry the Design for the Environment (DfE) label. This mark enables consumers to quickly identify and choose products that can help protect the environment and are safer for families. When you see the DfE logo on a product it means that the DfE scientific review team has screened each ingredient for potential human health and environmental effects and that-based on currently available information,  EPA predictive models,  and expert judgment-the product contains only those ingredients that pose the least concern among chemicals in their class. Product manufacturers who become DfE partners,  and earn the right to display the DfE logo on recognized products,  have invested heavily in research,  development and reformulation to ensure that their ingredients and finished product line up on the green end of the health and environmental spectrum while maintaining or improving product performance. EPA's Design for the Environment Program (DfE) has allowed use of their logo on over 2500 products. These products are formulated from the safest possible ingredients and have reduced the use of \"chemicals of concern\" by hundreds of millions of pounds.",
      "keyword": [
        "dfe",
        "safer product labeling program",
        "office of pollution prevention and toxics",
        "oppt",
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        "environmental considerations",
        "design",
        "environmental impacts",
        "redesign",
        "products",
        "voluntary partnerships",
        "industry",
        "chemical safety",
        "household chemicals",
        "design for environment",
        "safe chemical alternatives",
        "pollution prevention",
        "toxic substances control act",
        "tsca",
        "design for the environment",
        "cleaning products",
        "household products",
        "green chemistry",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "Design for the Environment Products (Online Search)",
      "distribution": [
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          "accessURL": "https://www.epa.gov/saferchoice/design-environment-programs-initiatives-and-projects",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
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      ],
      "issued": "1997-01-01",
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      "description": "This dataset contains a list of products that carry the Design for the Environment (DfE) label. This mark enables consumers to quickly identify and choose products that can help protect the environment and are safer for families. When you see the DfE logo on a product it means that the DfE scientific review team has screened each ingredient for potential human health and environmental effects and that-based on currently available information,  EPA predictive models,  and expert judgment-the product contains only those ingredients that pose the least concern among chemicals in their class. Product manufacturers who become DfE partners,  and earn the right to display the DfE logo on recognized products,  have invested heavily in research,  development and reformulation to ensure that their ingredients and finished product line up on the green end of the health and environmental spectrum while maintaining or improving product performance. EPA's Design for the Environment Program (DfE) has allowed use of their logo on over 2500 products. These products are formulated from the safest possible ingredients and have reduced the use of \"chemicals of concern\" by hundreds of millions of pounds. A Spanish version of this dataset is available for download at https://www.epa.gov/dfe/pubs/products/list_of_labeled_products.html",
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      "description": "The High Production Volume Information System (HPVIS) provides access to select health and environmental effect information on chemicals that are manufactured in exceptionally large amounts.",
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      "description": "This dataset consists of the non confidential identities of chemical substances submitted under the Toxic Substances Control Act (TSCA).  TSCA was enacted to ensure that chemicals manufactured,  imported,  processed,  or distributed in commerce,  or used or disposed of in the United States do not pose any unreasonable risks to human health or the environment.  EPA adds chemical substances to the TSCA Inventory following EPAs receipt of a Notice of Commencement (NOC) signaling the manufacturers intent to produce a chemical substance that EPA has previously reviewed and approved. Since EPA published the final TSCA Inventory Reporting Rule on December 23,  1977,  the TSCA Inventory has grown to include the identities of over 83, 000 chemical substances.",
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      "description": "The Toxic Substances Control Act (TSCA) requires that data be developed on the effect of chemical substances and mixtures on health and the environment. This data source collects the applicable test information on these chemicals submitted by external parties.",
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      "primaryitinvestmentuii": "020-000030304",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "State Review Framework Manager Database",
      "description": "The State Review Framework is a primary means by which EPA conducts oversight of three core federal statutes: Clean Air Act, Clean Water Act, and Resource Conservation and Recovery Act. The routine, nationwide review provides a consistent process for evaluating the performance of state, local and EPA compliance and enforcement programs. The overarching goal of the reviews is to ensure fair and consistent enforcement necessary to protect human health and the environment.",
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        "name": "OECA, Office of Compliance"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Enforcement and Compliance Assurance (OECA)"
      },
      "accessLevel": "public",
      "description": "This dataset contains selected cases involving EPA's Regional Judicial Officers (RJOs) from 2005 to present. EPA's Regional Judicial Officers (RJOs) perform adjudicatory functions and act as Agency neutrals in administrative cases. EPA's RJOs are senior attorneys with backgrounds in EPA enforcement, general law, or both.",
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      "contactPoint": {
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      "description": "The Environmental Protection Agency's Enforcement and Compliance History Online (ECHO) website provides customizable and downloadable information about environmental inspections, violations, and enforcement actions for EPA-regulated facilities, like power plants and factories. ECHO advances public information by sharing data related to facility compliance with and regulatory agency activity related to air, hazardous waste, clean water, and drinking water regulations. ECHO offers many user-friendly options to explore data, including:\n1. Facility Search (https://echo.epa.gov/facilities/facility-search?mediaSelected=all): ECHO information is searchable by varied criteria, including location, facility type, and compliance status related to the Clean Air Act, Clean Water Act, Resource Conservation and Recovery Act, and Safe Drinking Water Act. Search results are customizable and downloadable.\n2. Comparative Maps (https://echo.epa.gov/maps/state-comparative-maps) and State Dashboards (https://echo.epa.gov/trends/comparative-maps-dashboards/state-air-dashboard): These tools offer aggregated information about facility compliance status and regulatory agency compliance monitoring and enforcement activity at the national and state level.\n3. Bulk Data Downloads (https://echo.epa.gov/resources/echo-data/data-downloads): One of ECHO's most popular features is the ability to work offline by downloading large data sets. Users can take advantage of the ECHO Exporter, which provides summary information about each facility in a comma-separated format. Additionally, data sets by program also are available as zip files. These are updated weekly as part of the ECHO data refresh.",
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      "description": "The EPA Administrative Enforcement Dockets database contains the electronic dockets for administrative penalty cases filed by EPA Regions and Headquarters. Visitors can browse the dockets by year, by statute, EPA region, or a via a free text search. It should be noted that in some cases, particularly prior to 2008, dockets have not yet been published electronically. For users looking for information not included on the website, please contact the Regional Hearing Clerk where the case was filed.",
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      "description": "This dataset contains Decisions and Orders originating from EPAs Office of Administrative Law Judges (OALJ), which is an independent office in the Office of the Administrator of the EPA. The Administrative Law Judges conduct hearings and render decisions in proceedings between the EPA and persons, businesses, government entities, and other organizations which are or are alleged to be regulated under environmental laws. Administrative Law Judges preside in enforcement and permit proceedings in accordance with the Administrative Procedure Act. Most enforcement actions initiated by the EPA are for the assessment of civil penalties. The Decisions and Orders are organized into three categories: (1) alphabetical listing by the respondent involved, (2) reverse chronological listing by date, and (3) Decisions and Orders under FIFRA Section 6. This dataset includes Decisions and Orders dating back to 1989 in the Reverse Chronological list, Decisions and Orders dating back to 1997 in the Alphabetical list, and a few Decisions and Orders dating back to 1974 under FIFRA Section 6.",
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      "title": "EPA Administrative Law Judge Legal Documents",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Permit Compliance System (PCS)",
      "distribution": [
        {
          "accessURL": "https://www3.epa.gov/enviro/facts/pcs-icis/search.html",
          "@type": "dcat:Distribution",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
      "description": "The Permit Compliance System (PCS) provides information on companies which have been issued permits to discharge waste water into rivers.",
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    {
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    {
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      "title": "COMPLY Grantee Compliance Database",
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        "grants",
        "United States",
        "Washington DC",
        "economy",
        "Financial",
        "Business Data"
      ],
      "modified": "2022-01-10",
      "identifier": "f06f7a30-f5e5-4ded-bc3e-767e4c2f6504",
      "accessLevel": "non-public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://usepa-7291dac51b2899.sharepoint.com/sites/OARM/comply/comply-sp/#/home",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2022-01-10"
        }
      ],
      "issued": "2021-06-01",
      "accrualPeriodicity": "R/P1D",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://usepa-7291dac51b2899.sharepoint.com/sites/OARM/comply/comply-sp/#/home",
        "title": "COMPLY Grantee Compliance Database"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://usepa-7291dac51b2899.sharepoint.com/sites/OARM/comply/comply-sp/#/home",
          "title": "COMPLY Application URL",
          "description": "Overview of award information related to each grantee recipient, this database also stores historical information related to the recipient's\ntraining activities, indirect cost rate negotiations, pre-award certifications, post award monitoring plans, as well as on-site review, off-site review, and technical assistance activities. All advanced monitoring activities must be recorded in the system with an attached report to count as part of the Grantee\nCompliance Assistance Initiative as outlined in EPA Order 5700.6. The database tracks information on planned and actual On-Site Evaluative, off-Site Evaluative and/or On-Site Technical Assistance Visits conducted by each Grants Management and Program Office in the Agency.",
          "format": "SharePoint App",
          "license": "https://usepa-7291dac51b2899.sharepoint.com/sites/OARM/comply/comply-sp/#/home"
        }
      ],
      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Environmental Protection Agency Acquisition System",
      "description": "Automated contract writing and management system with configurable workflow.  EAS is built using a Commercial Off The Shelf Product (PRISM)that also includes the purchase request form and workflow.",
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office Of Mission Support (OMS) - Office of Acquisition Solutions (OAS)"
      },
      "contactPoint": {
        "fn": "Richard Belles",
        "hasEmail": "mailto:belles.richard@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Cleanup",
        "Emergency Response",
        "Facilities",
        "Management",
        "Regulatory",
        "Remediation",
        "Response",
        "Spills",
        "Washington DC",
        "North Carolina",
        "economy",
        "Acquisition",
        "buy",
        "contract",
        "purchase request",
        "requisition"
      ],
      "modified": "2021-11-24",
      "identifier": "e4a720e3-1ce2-4cc3-82cf-646f633a5b3e",
      "accessLevel": "public",
      "license": "https://easinfo.epa.gov/",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-03",
          "endDate": "2021-12"
        }
      ],
      "programCode": [
        "020:001"
      ],
      "primaryitinvestmentuii": "020-000016231",
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Cross-Media Electronic Reporting Rule",
      "description": "This system centralizes all data and reporting functions associated with applicants seeking to obtain Cross Media Electronic Reporting Rule CROMERR) certification for systems submitting data to EPA which require an electronic signature , facilitates agency review of those applications, increases accessibility to program information, and increases transparency in program management. This system is implemented as a workflow within the EPA’s Business Application Platform (BAP) and exclusively uses its native capabilities.",
      "modified": "2021-12-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA-OMS-OIM-IEPB"
      },
      "contactPoint": {
        "fn": "Shirley Miller",
        "hasEmail": "mailto:miller.shirley@epa.gov",
        "@type": "vcard:Contact"
      },
      "identifier": "75f41ff9-881c-4b42-bafa-204357bb2799",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "bureauCode": [
        "020:00"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-10-13",
          "endDate": "2021-12-17"
        }
      ],
      "dataQuality": false,
      "programCode": [
        "020:072"
      ],
      "keyword": [
        "Regulatory",
        "Permits",
        "Monitoring",
        "United States",
        "environment",
        "CROMERR",
        "Cross-Media Electronic Reporting Rule",
        "Electronic Reporting"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Acquisition Forecast Database",
      "description": "The EPA Acquisition Forecast Database was developed and is used to post the Agency's anticipated requirements and applicable acquisition strategies. ",
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office Of Mission Support (OMS) - Office of Acquisition Solutions (OAS)"
      },
      "contactPoint": {
        "fn": "Richard Belles",
        "hasEmail": "mailto:belles.richard@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Cleanup",
        "Emergency Response",
        "Facilities",
        "Management",
        "Regulatory",
        "Remediation",
        "Response",
        "Spills",
        "Washington DC",
        "North Carolina",
        "economy",
        "Acquisition",
        "forecast",
        "database",
        "procurement",
        "planning",
        "contracts"
      ],
      "modified": "2021-12-15",
      "identifier": "74b6f85f-2d8a-41f6-8fb9-10f66f2f0353",
      "accessLevel": "non-public",
      "rights": [
        "EPA Category: Source Selection Information, NARA Category: Proprietary-Source Selection"
      ],
      "license": "https://ofmpub.epa.gov/apex/forecast/f?p=forecast",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-06",
          "endDate": "2021-12"
        }
      ],
      "programCode": [
        "020:001"
      ],
      "primaryitinvestmentuii": "020-000000088",
      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "@type": "dcat:Dataset",
      "title": "National Advanced Utility Metering",
      "description": "The National Advanced Utility Metering (NAUM) system is used to monitor utility consumption of EPA managed facilities required by the Energy Policy Act of 2005 (EPAct 2005), the Energy Independence and Security Act of 2007 (EISA 2007) and Executive Order 13514, along with other Presidential Memorandums that have established the need for additional water and utility metering.",
      "publisher": {
        "@type": "org:Organization",
        "name": "OMS/OA"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Mr. Jackie Brown",
        "hasEmail": "mailto:brown.jackie@epa.gov"
      },
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": false,
      "keyword": [
        "Air",
        "Energy",
        "Water",
        "United States",
        "utilitiesCommunication",
        "Electric",
        "GAS"
      ],
      "modified": "2021-11-16",
      "identifier": "fc56c95c-e68d-41b6-8686-61cc6796b9cd",
      "accessLevel": "non-public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-11-16",
          "endDate": "2022-11-16"
        }
      ],
      "issued": "2020-11-16",
      "accrualPeriodicity": "R/P1D",
      "language": [
        "en"
      ],
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://project-open-data.cio.gov/v1.1/schema/"
        }
      ],
      "describedByType": "text/html",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://v18h1n-naum033.aa.ad.epa.gov/Web/Auth?ReturnUrl=/Web/",
        "title": "National Advanced Utility Metering"
      },
      "references": [
        "https://v18h1n-naum033.aa.ad.epa.gov/Web/Auth?ReturnUrl=/Web/"
      ],
      "programCode": [
        "020:000"
      ],
      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Tribal Consultation Tracking System",
      "description": "The Tribal Consultation Opportunities Tracking System (TCOTS) publicizes upcoming and current EPA consultation opportunities for tribal governments and Alaska Native Corporations. The goal of TCOTS is to provide early notification and transparency on EPA consultations.",
      "keyword": [
        "tcots",
        "tribal consultation",
        "tribal",
        "environment",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2001-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of International and Tribal Affairs"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Elias Abunassar, U.S. EPA Office of International and Tribal Affairs",
        "hasEmail": "mailto:abunassar.elias@epa.gov"
      },
      "identifier": "6B8E6259-95FF-4CFD-AD43-3FBD9E6D0A6C",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/aboutepa/about-office-international-and-tribal-affairs-oita"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://tcots.epa.gov",
        "title": "Tribal Consultation Tracking System"
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://tcots.epa.gov",
          "mediaType": "application/octet-stream",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "title": "State Grant Information Technology Application (SGITA)",
      "description": "The State Grant IT Application (SGITA) was created in response to Grants Policy Issuance (GPI) 11-03, State Grant Workplans and Progress Reports. The policy was developed by the State Grant Workplan Workgroup and was designed 1) enhance accountability for achieving grant performance objectives; 2) ensure that State grants are aligned with the Agency 2019 Strategic Plan; and 3) provide for more consistent performance reporting. To achieve those objectives, the GPI requires that workplans and associated progress reports prominently display three Essential Elements the EPA Strategic Plan Goal; the EPA Strategic Plan Objective; and Workplan Commitments plus time frame. The GPI applies to the fourteen State grant programs previously subject to the State Grant Performance Measures Template. It supplements, but in no way supersedes, existing workplan requirements in 40 C.F.R. Part 35 Subpart A. The effective date of the GPI is October 1, 2012. Awards made under Program Code for State and Tribal Underground Storage Tanks Program utilizing STAG funds are required to submit workplans and progress reports in SGITA. Those awards funded using LUST funds are not applicable to GPI 11-03. If an award has both STAG and LUST funds, those workplans and progress reports must be entered into SGITA. SGITA was developed from a requirement in the GPI stating that an application needed to be created to electronically store workplans and progress reports for the applicable programs. EPA Project Officers are to enter the information into SGITA as frequently as workplans and progress reports are required per the terms and conditions of the grant award. The application is accessible to EPA Personnel, OMB, and State users.",
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "publisher": {
        "@type": "org:Organization",
        "name": "Office of Mission Support (OMS)  -- Office of Grants and Debarment"
      },
      "contactPoint": {
        "fn": "Olayori Oluwo",
        "hasEmail": "mailto:oluwo.olayori@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "environment",
        "Washington DC",
        "Progress Reports",
        "Workplans",
        "Grants Policy Issuance (GPI) 11-03",
        "EPA Project Officers",
        "EPA Personnel",
        "State users"
      ],
      "modified": "2021-08-14",
      "identifier": "fd45d11c-b236-455a-8ff6-380cc4ff5664",
      "accessLevel": "public",
      "rights": [
        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "license": "https://sgita.epa.gov/ords/sgitapub/f?p=SGITAPUB:Home:",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-10-01",
          "endDate": "2021-10-01"
        }
      ],
      "accrualPeriodicity": "R/P4M",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://sgita.epa.gov/ords/sgitapub/f?p=SGITAPUB:Home:",
        "title": "State Grant Information Technology Application (SGITA)"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://sgita.epa.gov/ords/sgitapub/f?p=SGITAPUB:Home:",
          "title": "SGITA Home",
          "description": "The State Grant IT Application (SGITA) was created in response to Grants Policy Issuance (GPI) 11-03, State Grant Workplans and Progress Reports. The policy was developed by the State Grant Workplan Workgroup and was designed 1) enhance accountability for achieving grant performance objectives; 2) ensure that State grants are aligned with the Agency 2019 Strategic Plan; and 3) provide for more consistent performance reporting. To achieve those objectives, the GPI requires that workplans and associated progress reports prominently display three Essential Elements: the EPA Strategic Plan Goal; the EPA Strategic Plan Objective; and Workplan Commitments plus time frame. The GPI applies to the fourteen State grant programs previously subject to the State Grant Performance Measures Template. It supplements, but in no way supersedes, existing workplan requirements in 40 C.F.R. Part 35 Subpart A. The effective date of the GPI is October 1, 2012. Awards made under Program Code for State and Tribal Underground Storage Tanks Program utilizing STAG funds are required to submit workplans and progress reports in SGITA. Those awards funded using LUST funds are not applicable to GPI 11-03. If an award has both STAG and LUST funds, those workplans and progress reports must be entered into SGITA\n\nSGITA was developed from a requirement in the GPI stating that an application needed to be created to electronically store workplans and progress reports for the applicable programs. EPA Project Officers are to enter the information into SGITA as frequently as workplans and progress reports are required per the terms and conditions of the grant award. The application is accessible to EPA Personnel, OMB, and State users.",
          "license": "https://sgita.epa.gov/ords/sgitapub/f?p=SGITAPUB:Home:"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "accessRights": "public"
    },
    {
      "title": "Laws and Regulations Services (LRS)",
      "description": "LRS is a catalog of laws relevant to EPA, the regulations that implement those laws, and the EPA programs that oversee those regulations",
      "modified": "2021",
      "publisher": {
        "@type": "org:Organization",
        "name": "United States Environmental Protection Agency (EPA)"
      },
      "contactPoint": {
        "fn": "Justin Mattison",
        "hasEmail": "mailto:mattison.justin@epa.gov",
        "@type": "vcard:Contact"
      },
      "identifier": "0d18d90b-a358-4948-8fb5-2b72a728b061",
      "accessLevel": "public",
      "rights": [
        "LRS is available to the public via web services "
      ],
      "license": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2",
      "bureauCode": [
        "020:00"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021",
          "endDate": "2025"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "language": [
        "en"
      ],
      "dataQuality": false,
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://sor.epa.gov/sor_internet/registry/lawsreg/home/overview/home.jsp"
        }
      ],
      "describedBy": {
        "accessURL": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2",
        "mediaType": "text/html"
      },
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://sor.epa.gov/sor_internet/registry/lawsreg/home/overview/home.jsp",
        "title": "Laws and Regulations Services (LRS)"
      },
      "references": [
        "https://sor.epa.gov/sor_internet/registry/lawsreg/home/overview/home.jsp"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2",
          "title": "LRS Web Services",
          "description": "The LRS Web Services provide an interface to the System of Registries' Laws and Regulations Registry (LRS). LRS is a catalog of laws relevant to EPA, the regulations that implement those laws, and the EPA programs that oversee those regulations.The statutory and regulatory information is gleaned from the Code of Federal Regulations (CFR), published annually by the Government Publishing Office (GPO).",
          "format": "API",
          "describedBy": {
            "accessURL": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2",
            "mediaType": "text/html"
          },
          "conformsTo": [
            {
              "@type": "Standard",
              "identifier": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2"
            }
          ],
          "license": "https://sor-lrs-api.epa.gov/lrswebservices/swaggerV2"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "keyword": [
        "Chemicals",
        "Pesticides",
        "regulatory",
        "Toxics",
        "United States",
        "environment",
        "law",
        "laws",
        "regulation",
        "regulations",
        "service",
        "services",
        "environmental",
        "code of federal regulations",
        "CFR",
        "government publishing office",
        "GPO"
      ],
      "accessRights": "public"
    },
    {
      "title": "Reference Data for Analytics",
      "description": "Collection of reference datasets for analytics applications.  These are lookup tables, crosswalks, and other useful datasets for connecting tables for analytics",
      "modified": "2021-01-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "OMS-EI/OIM/IAASD"
      },
      "contactPoint": {
        "fn": "David G. Smith",
        "hasEmail": "mailto:smith.davidg@epa.gov",
        "@type": "vcard:Contact"
      },
      "identifier": "3e6f9173-790f-44a1-93e6-662662bcf67d",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "bureauCode": [
        "020:00"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020",
          "endDate": "2021"
        }
      ],
      "issued": "2021-01-28",
      "language": [
        "en"
      ],
      "dataQuality": false,
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://edap-oms-data-commons.s3.amazonaws.com/analytics-refdata/ACE-Ports.csv",
          "format": "C Source File (.c)",
          "title": "Data Commons",
          "description": "Data Commons Reference Datasets",
          "mediaType": "text/x-c",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "programCode": [
        "020:053"
      ],
      "keyword": [
        "Boundaries and Base Data",
        "United States",
        "biota",
        "economy",
        "imageryBaseMapsEarthCover",
        "location",
        "society",
        "structure",
        "transportation",
        "Ports",
        "Codesets",
        "reference"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Query",
      "description": "The Superfund Query allows users to retrieve data from the Comprehensive Environmental Response, Compensation, and Liability Information System (CERCLIS) database.",
      "keyword": [
        "datafinder",
        "emergencies and cleanup topics",
        "cleanup",
        "cleanup sites",
        "superfund",
        "environment",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Mission Support (OMS)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shane Knipschild, U.S. EPA Office of Mission Support (OMS)",
        "hasEmail": "mailto:knipschild.shane@epa.gov"
      },
      "identifier": "F26474DB-5364-4173-89CB-3561096F8D9E",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7BF26474DB-5364-4173-89CB-3561096F8D9E%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF26474DB-5364-4173-89CB-3561096F8D9E%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF26474DB-5364-4173-89CB-3561096F8D9E%7D",
        "title": "Superfund Query"
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Toxics Release Inventory Chemical Hazard Information Profiles (TRI-CHIP) Dataset",
      "description": "The Toxics Release Inventory (TRI) Chemical Hazard Information Profiles (TRI-CHIP) dataset contains hazard information about the chemicals reported in TRI. Users can use this XML-format dataset to create their own databases and hazard analyses of TRI chemicals. The hazard information is compiled from a series of authoritative sources including the Integrated Risk Information System (IRIS). The dataset is provided as a downloadable .zip file that when extracted provides XML files and schemas for the hazard information tables.",
      "keyword": [
        "sample",
        "chemical",
        "compound",
        "pollution",
        "pollutant",
        "release",
        "inventory",
        "community",
        "right-to-know",
        "epcra",
        "hazard",
        "risk",
        "iris",
        "tri",
        "tri-chip",
        "toxicity",
        "human health",
        "toxics",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "David Turk, U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)",
        "hasEmail": "mailto:Turk.David@epa.gov"
      },
      "identifier": "2DA57844-7EC1-4BAC-B521-3017862A1E70",
      "accessLevel": "public",
      "references": [
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      "description": "Error Tracking System is a database used to store & track error notifications sent by users of EPA's web site. ETS is managed by OIC/OEI. OECA's ECHO & OEI Envirofacts use it. Error notifications from EPA's home Page under \"Contact Us\" also uses it.",
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      "title": "Substance Identification Information from EPA's Substance Registry",
      "description": "The Substance Registry Services (SRS) is the authoritative resource for basic information about substances of interest to the U.S. EPA and its state and tribal partners.  Substances, particularly chemicals, can have many valid synonyms.  For example, toluene, methyl benzene, and phenyl methane, are commonly used names for the same chemical.  EPA programs collect environmental data for this chemical using each of these names, plus others.  This diversity leads to problems when a user is looking for programmatic data for toluene but is unaware that the data is stored under the synonym methyl benzene.  For each substance, the SRS identifies the statutes, EPA programs, as well as organization external to EPA, that track or regulate that substance and the synonym used by that statute, EPA program or external organization.  Besides standardized information for each chemical, such as the Chemical Abstracts Services name and the Chemical Abstracts Number and the EPA Registry Name (the EPA standard name), the SRS also includes additional information, such as molecular weight and molecular formula.  Additionally, an SRS Internal Tracking Number uniquely identifies each substance, enabling cross-walking between synonyms. \n\nEPA is providing a large .ZIP file providing the SRS data in CSV format, and a separate small metadata file in XML containing the field names and definitions.",
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        "sample",
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        "chemical abstracts service",
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        "name": "U.S. EPA Office of Mission Support (OMS)"
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        "@type": "Document",
        "accessURL": "https://iaspub.epa.gov/sor_internet/registry/substreg/home/overview/home.do",
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    {
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      "title": "Summary 2010 Greenhouse Gas Data",
      "description": "This file contains a summary of the publicly available data from the GHG Reporting Program for 2010. This data includes non-confidential data reported by facilities that directly emit GHGs. The files also contain non-confidential information reported by suppliers of fossil fuels and industrial gases. This excel file contains the same information available in the Data Publication Tool. The file contains the most important, high-level information reported by direct emitters and suppliers and can be easily sorted to respond to many common queries.  Please visit https://www.epa.gov/ghgreporting for more information on the data.",
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        "name": "U.S. EPA Office of Air and Radiation (OAR)"
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        "plastic recycling",
        "plastic bag recycling",
        "municipal solid waste disposal",
        "msw characterization",
        "paper recycling",
        "metals recycling",
        "composting data",
        "composting rate",
        "food recovery",
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      "description": "This tool to gives you access to greenhouse gas data reported to EPA by large facilities and suppliers in the United States through EPA's Greenhouse Gas Reporting Program. The tool allows you to view data in several formats including maps, tables, charts and graphs for individual facilities or groups of facilities. You can search the data set for individual facilities by name or location or filter the data set by state or county, industry sectors and sub-sectors, annual facility emission thresholds, and greenhouse gas type.  For more information on the GHG Reporting Program and this data, please visit https://www.epa.gov/ghgreporting",
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    {
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          "accessURL": "https://iaspub.epa.gov/sor_internet/registry/termreg/searchandretrieve/termsandacronyms/search.do",
          "mediaType": "application/octet-stream",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://iaspub.epa.gov/sor_internet/registry/termreg/home/whatisterminology/",
          "mediaType": "application/octet-stream",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://iaspub.epa.gov/sor_internet/registry/termreg/searchandretrieve/termsandacronyms/search.do",
          "mediaType": "application/octet-stream",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://iaspub.epa.gov/sor_internet/registry/termreg/home/whatisterminology/",
          "mediaType": "application/octet-stream",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Registry of EPA Applications, Models, and Databases",
      "description": "READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).",
      "keyword": [
        "sample",
        "it system",
        "omb a11",
        "omb a130",
        "registry of epa applications",
        "models",
        "and databases",
        "dataset",
        "information resource",
        "model",
        "system inventory",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Finance and Administration (OFA)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kim Balassiano, U.S. EPA Office of Finance and Administration (OFA)",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "101513F0-7F51-4CAB-966B-15E7794EA775",
      "accessLevel": "public",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B101513F0-7F51-4CAB-966B-15E7794EA775%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B101513F0-7F51-4CAB-966B-15E7794EA775%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://ofmpub.epa.gov/sor_internet/registry/systmreg/searchandretrieve/basic/search.do",
        "title": "Registry of EPA Applications, Models, and Databases"
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://ofmpub.epa.gov/sor_internet/registry/systmreg/searchandretrieve/basic/search.do",
          "mediaType": "application/octet-stream",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/read/",
          "mediaType": "application/octet-stream",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/read/",
          "mediaType": "application/octet-stream",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Facility Registry Service (FRS)",
      "description": "The Facility Registry Service (FRS) provides an integrated source of comprehensive (air, water, and waste) environmental information about facilities across EPA, states, tribes and other \"places\" of environmental interest such as schools and landfills.",
      "keyword": [
        "datafinder",
        "environmental media topics",
        "air",
        "environmental media topics",
        "water",
        "substances",
        "wastes",
        "regulatory & industrial topics",
        "regulated facilities",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2013-09-24",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "FRS Support",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
      "identifier": "B158161D-F639-4A93-BF7C-D454C80F7C92",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB158161D-F639-4A93-BF7C-D454C80F7C92%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7BB158161D-F639-4A93-BF7C-D454C80F7C92%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB158161D-F639-4A93-BF7C-D454C80F7C92%7D",
        "title": "Facility Registry Service (FRS)"
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/frs",
          "title": "FRS Home Page",
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/frs/frs-data-resources",
          "title": "FRS Data Resources Page",
          "description": "Links to FRS data available as Web Services, Prepackaged Downloads, and Custom Downloads.",
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/frs/frs-documentation",
          "title": "FRS Documentation Page",
          "description": "Information about data sources, flows, schemas, dictionaries, and standards.",
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "title": "Federally Recognized Tribes",
      "description": "This dataset provides authoritative names for federally recognized tribes as defined by the Bureau of Indian Affairs.  EPA maintains this data (1978 - Present) and makes it available via the TRIBES Names Services",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Mission Support "
      },
      "contactPoint": {
        "fn": "Justin Mattison",
        "hasEmail": "mailto:mattison.justin@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Human",
        "Management",
        "Environmental Justice",
        "United States",
        "society",
        "Native American",
        "tribes",
        "indian"
      ],
      "modified": "2021-02-11",
      "identifier": "3f4bd197-b312-4a0c-b179-6ea798f52ac4",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "bureauCode": [
        "020:00"
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1978-01-01",
          "endDate": "2021-04-13"
        }
      ],
      "issued": "2021-01-28",
      "accrualPeriodicity": "R/P1Y",
      "language": [
        "en"
      ],
      "dataQuality": true,
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/data-standards/tribes-services-tribal-identifier-data-standard#file-150427",
        "title": "Federally Recognized Tribes"
      },
      "references": [
        "http://www.exchangenetwork.net/data-exchange/epa-tribal-identification-tribes/"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/sites/production/files/2021-03/tribe_entity_mapping_2021-03-04.xlsx",
          "format": "This is a link to a spreadsheet that contains the BIA Tribe Names, BIA tribe codes, and EPA internal identifiers for each tribe.  Tribe names are tracked from 1978 - present.",
          "title": "Tribe Entity Mapping",
          "description": "List of BIA tribe names, BIA codes (where we have them), and EPA identifiers",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "describedBy": {
            "accessURL": "https://www.epa.gov/sites/production/files/2015-06/documents/tribalidenversion2.2a_10_02_14.pdf",
            "mediaType": "application/pdf"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        }
      ],
      "programCode": [
        "020:042"
      ],
      "primaryitinvestmentuii": "020-000016006",
      "accessRights": "public"
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of General Counsel (OGC)"
      },
      "accessLevel": "public",
      "description": "The Office of General Counsel (OGC) has an ongoing business process engineering and business process automation initiative which has helped the office reduce administrative labor costs while increasing employee effectiveness. Supporting this effort is a system of automated routines accessible through a \"portal' interface called \"OGC Dashboard.\" The dashboard helps OGC track work progress, legal case load, written work products such as legal briefs and advice, and scheduling processes such as employee leave plans (via calendar) and travel compensatory time off.",
      "keyword": [
        "legal",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "OGC Dashboard",
      "issued": "2014-01-01",
      "modified": "2014-01-01",
      "dataQuality": false,
      "bureauCode": [
        "020:00"
      ],
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B836352F6-A37C-4FDD-9C98-F7501C454273%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B836352F6-A37C-4FDD-9C98-F7501C454273%7D"
      ],
      "accrualPeriodicity": "irregular",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:salzman.andrew@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Andrew Salzman, U.S. EPA Office of General Counsel (OGC)"
      },
      "identifier": "836352F6-A37C-4FDD-9C98-F7501C454273",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of General Counsel (OGC)"
      },
      "accessLevel": "public",
      "description": "Case and Administrative Support Tools (CAST) is the secure portion of the Office of General Counsel (OGC) Dashboard business process automation tool used to help reduce office administrative labor costs while increasing employee effectiveness. CAST supports business functions which rely on and store Privacy Act sensitive data (PII). Specific business processes included in CAST (and respective PII) are: -Civil Rights Cast Tracking (name, partial medical history, summary of case, and case correspondance). -Employment Law Case Tracking (name, summary of case). -Federal Tort Claims Act Incident Tracking (name, summary of incidents). -Ethics Program Support Tools and Tracking (name, partial financial history). -Summer Honors Application Tracking (name, home address, telephone number, employment history). -Workforce Flexibility Initiative Support Tools (name, alternative workplace phone number). -Resource and Personnel Management Support Tools (name, partial employment and financial history).",
      "keyword": [
        "legal",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "title": "Case and Administrative Support Tools",
      "issued": "2014-01-01",
      "modified": "2014-01-01",
      "dataQuality": false,
      "bureauCode": [
        "020:00"
      ],
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7B4296E18F-AC00-4F64-929A-34173D146387%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4296E18F-AC00-4F64-929A-34173D146387%7D"
      ],
      "accrualPeriodicity": "irregular",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:Murphy.MichaelP@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Michael P Murphy, U.S. EPA Office of General Counsel (OGC)"
      },
      "identifier": "4296E18F-AC00-4F64-929A-34173D146387",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Toxicity Reference Database",
      "description": "The Toxicity Reference Database (ToxRefDB) contains approximately 30 years and $2 billion worth of animal studies. ToxRefDB allows scientists and the interested public to search and download thousands of animal toxicity testing results for hundreds of chemicals that were previously found only in paper documents. Currently, there are 474 chemicals in ToxRefDB, primarily the data rich pesticide active ingredients, but the number will continue to expand.",
      "keyword": [
        "datafinder",
        "substances",
        "chemicals",
        "human health",
        "health risks",
        "exposure",
        "environment",
        "environment",
        "united states",
        "health"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Matt Martin, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
        "hasEmail": "mailto:martin.matt@epa.gov"
      },
      "identifier": "8D1F4382-424A-492E-8D2E-ADC046140BBB",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8D1F4382-424A-492E-8D2E-ADC046140BBB%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B8D1F4382-424A-492E-8D2E-ADC046140BBB%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "title": "Characterization Factors for Construction Material EPD Indicators (ISO21930-LCIA-US) v0.1",
      "description": "This dataset contains characterization factors (CFs) for the five mandatory life cycle impact assessment (LCIA) categories required in ISO 21930:2017: \n1.\tGreenhouse gases (GHG), which is incorrectly named ‘GWP’ in the standard,\n2.\tOzone Depletion Potential (ODP),\n3.\tEutrophication Potential (EP),\n4.\tAcidification Potential (AP), and\n5.\tPhotochemical Ozone Formation Potential (POCP)\nThese CFs are appropriate for use with life cycle inventory data for activities occurring within the United States. \nThe short name for the dataset is ISO21930-LCIA-US v0.1.\nThe characterization factors, with the exception of GHGs, are identical to the those currently in TRACI v2.1 for the corresponding impact categories. The four TRACI v2.1 impact categories have the same names as ISO 21930:2017 with the exception of POCP, which is called “smog formation” in TRACI v2.1. The characterization factors for GHGs are the 100-year (GWP-100) GWPs from the International Panel for Climate Change (IPCC)’s 5th Assessment Report (AR5) report. \nThe names for the chemicals, release contexts, units and IDs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2. These datasets were created using the LCIA Formatter v1.1.2 (https://github.com/USEPA/LCIAformatter).\nFormats\nDatasets are provided in simple tables in Excel, in the openLCA JSON-LD format using Federal LCA Commons standards, and in Apache parquet format.  The fields in the Excel and identical parquet versions use the LCIAmethod format fields: https://github.com/USEPA/LCIAformatter/blob/master/format%20specs/LCIAmethod.md\n1.\tZip archives of JSON files in the JSON-LD schema: a file type associated with the openLCA schema. Two JSON-LD versions are provided. \na.\t“ISO21930-LCIA-USv0.1_noflows_json-ld.zip” is without flow objects. \nb.\t“ISO21930-LCIA-USv0.1_wprefflows_json-ld.zip” is with flow objects of preferred flows from the FEDEFL.\nSee usage notes below. \n2.\tExcel and parquet: tabular format according to schema from the LCIA formatter, with additional fields added:\no\t“source_method”: indicates the original method source for the indicator (e.g., TRACI 2.1 or IPCC)\no\t“source_indicator”: indicates the name of the indicator in its original form (e.g. Smog Formation)\no\t“category”: indicates the desired parent folder name for the impact category (shown as “EPA EPD in Figure 1)\nUsage\nGenerally, in all formats, the CFs can be multiplied by kg (or unit specified in the denominator) of the relevant chemical emitted to calculate the potential impact value for a given impact category for that relevant chemical. If no CF exists for a chemical in a given impact category, it is not considered to have an impact in that category.\nThe parquet format is most efficient for import into applications or scripts using languages like Python and R.\nThe Zip archives of JSON-LD files can be loaded into openLCA or other LCA or EPD software supporting that format. When loaded into openLCA (via JSON-LD), the method shows as a separate impact assessment method. Individual indicators are categorized within the EPA EPD category.\nFor introduction to importing a dataset into openLCA we recommend this training video from the National Renewable Energy Laboratory. https://youtu.be/YLao5jC5b_0?si=H0SNZ_ufOwInkgCF&t=48\nThe version with no flows is designed to import in a database that already has FEDEFL elementary flows or no more modeling is to be done that would use any new flows. It will only create the LCIA method.\nThe version with flows can be imported into a new ‘empty’ database and it will create not just the LCIA method but all associated flows and more basic objects like units and flow properties. It can be used when no process data that you wish to model has been created yet and/or if you want to have a full import of all relevant elementary flows.\n",
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "publisher": {
        "@type": "org:Organization",
        "name": "Office of Chemical Safety and Pollution Prevention"
      },
      "contactPoint": {
        "fn": "Low Embodied Carbon Team",
        "hasEmail": "mailto:embodiedcarbon@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Air",
        "Water",
        "Impact",
        "United States",
        "environment",
        "LCIA",
        "Environmental product declarations",
        "Low embodied carbon",
        "carbon label"
      ],
      "modified": "2024-04-26",
      "identifier": "9bf03ab6-dd13-4d5a-a92e-b33f9d77a100",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2030-01-01"
        }
      ],
      "accrualPeriodicity": "R/P6M",
      "language": [
        "en"
      ],
      "conformsTo": [
        {
          "@type": "Standard",
          "identifier": "https://greendelta.github.io/olca-schema/"
        }
      ],
      "describedBy": {
        "accessURL": "https://github.com/USEPA/LCIAformatter/blob/master/format%20specs/LCIAmethod.md"
      },
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/greenerproducts/tools-resources",
        "title": "Characterization Factors for Construction Material EPD Indicators (ISO21930-LCIA-US) v0.1"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1.xlsx",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_v1.1.2_e7c9269.parquet",
          "mediaType": "application/octet-stream",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_noflows_json-ld.zip",
          "mediaType": "application/zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ISO21930-LCIA-US/ISO21930-LCIA-USv0.1_wprefflows_json-ld.zip",
          "mediaType": "application/zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "references": [
        "https://downloads.regulations.gov/EPA-HQ-OPPT-2024-0075-0002/content.pdf"
      ],
      "programCode": [
        "020:085"
      ],
      "primaryitinvestmentuii": "020-000030304",
      "accessRights": "public"
    },
    {
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development"
      },
      "accessLevel": "public",
      "description": "The Environmental Monitoring and Assessment Program (EMAP) was a national research program run by EPA’s Office of Research and Development from 1990 to 2008 to develop the tools necessary to monitor and assess the status and trends of national ecological resources. Initially, resources included estuaries and coastal waters, wadeable streams, lakes, wetlands, forests, agroecosystems, arid areas, and landscape ecology. Later, this was narrowed down to just the aquatic resources. EMAP collected field data from 1990 to 2006. EMAP's goal was to develop the scientific understanding for translating environmental monitoring data from multiple spatial and temporal scales into assessments of current ecological condition and forecasts of future risks to our natural resources. EMAP aimed to advance the science of ecological monitoring and ecological risk assessment, guide national monitoring with improved scientific understanding of ecosystem integrity and dynamics, and demonstrate multi-agency monitoring through large regional projects. EMAP developed indicators to monitor the condition of ecological resources. EMAP also investigated designs that addressed the acquisition, aggregation, and analysis of multiscale and multitier data. Monitoring of the nation’s aquatic resources is now being routinely conducted by the National Aquatic Resource Surveys, run by EPA’s Office of Water.",
      "keyword": [
        "environmental monitoring",
        "environmental assessment",
        "estuaries",
        "coastal waters",
        "streams",
        "lakes",
        "wetlands",
        "U.S."
      ],
      "title": "Environmental Monitoring and Assessment Program (EMAP)",
      "language": [
        "en"
      ],
      "distribution": [
        {
          "description": "Data from the US EPA's Environmental Monitoring and Assessment Program, 1990-2006",
          "title": "EMAP_archive1990-2006",
          "format": "text/csv",
          "mediaType": "application/zip",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/NHEERL/EMAP_archive1990-2006.zip",
          "@type": "dcat:Distribution",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1990",
          "endDate": "2006"
        }
      ],
      "describedByType": "text/csv",
      "modified": "2008-06-30",
      "dataQuality": true,
      "theme": [
        "monitoring",
        "estuaries",
        " coastal waters",
        " streams",
        " lakes",
        " wetlands"
      ],
      "bureauCode": [
        "020:00"
      ],
      "issued": "2006-12-31",
      "references": [
        "https://archive.epa.gov/emap/archive-emap/web/html/index.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "prefLabel": "USA"
        }
      ],
      "programCode": [
        "020:079"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "contactPoint": {
        "hasEmail": "mailto:Harwell.linda@epa.gov",
        "@type": "vcard:Contact",
        "fn": "Linda Harwell"
      },
      "identifier": "40C37FCC-7D79-4FD6-BDBF-29127BD9B606",
      "@type": "dcat:Dataset",
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Surplus Precipitation",
      "description": "Surplus Precipitation (mm): precipitation minus potential evaporation within catchment",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)"
      },
      "contactPoint": {
        "fn": "Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov",
        "@type": "vcard:Contact"
      },
      "keyword": [
        "Ecosystem",
        "environment",
        "Surface Water",
        "Modeling",
        "Monitoring",
        "Natural Resources",
        "United States",
        "Alaska",
        "Hawaii",
        "Alabama",
        "Arizona",
        "Arkansas",
        "California",
        "Colorado",
        "Connecticut",
        "Delaware",
        "Florida",
        "Georgia",
        "Idaho",
        "Illinois",
        "Indiana",
        "Iowa",
        "Kansas",
        "Kentucky",
        "Louisiana",
        "Maine",
        "Maryland",
        "Massachusetts",
        "Michigan",
        "Minnesota",
        "Mississippi",
        "Missouri",
        "Montana",
        "Nebraska",
        "Nevada",
        "New Hampshire",
        "New Jersey",
        "New York",
        "North Carolina",
        "North Dakota",
        "Ohio",
        "Oklahoma",
        "Oregon",
        "Pennsylvania",
        "Rhode Island",
        "South Carolina",
        "South Dakota",
        "Tennessee",
        "Texas",
        "Utah",
        "Vermont",
        "Virginia",
        "Washington",
        "West Virginia",
        "Wisconsin",
        "Wyoming",
        "Water",
        "NHDPlus V21",
        "Precipitation"
      ],
      "bureauCode": [
        "020:00"
      ],
      "dataQuality": true,
      "modified": "2021",
      "identifier": "04760b79-3aae-407a-a830-f0dd04c90739",
      "accessLevel": "public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-09",
          "endDate": "2021-09-09"
        }
      ],
      "programCode": [
        "020:096"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ToxCast Phase I",
      "description": "Background: Chemical toxicity testing is being transformed by advances in biology and computer modeling,  concerns over animal use and the thousands of environmental chemicals lacking toxicity data. EPA's ToxCast program aims to address these concerns by screening and prioritizing chemicals for potential human toxicity using in vitro assays and in silico approaches. Objectives: This project aims to evaluate the use of in vitro assays for understanding the types of molecular and pathway perturbations caused by environmental chemicals and to build initial prioritization models of in vivo toxicity. Methods: We tested 309 mostly pesticide active chemicals in 467 assays across 9 technologies,  including high-throughput cell-free assays and cell-based assays in multiple human primary cells and cell lines,  plus rat primary hepatocytes. Both individual and composite scores for effects on genes and pathways were analyzed. Results: Chemicals display a broad spectrum of activity at the molecular and pathway levels. Many expected interactions are seen,  including endocrine and xenobiotic metabolism enzyme activity. Chemicals range in promiscuity across pathways,  from no activity to affecting dozens of pathways. We find a statistically significant inverse association between the number of pathways perturbed by a chemical at low in vitro concentrations and the lowest in vivo dose at which a chemical causes toxicity. We also find associations between a small set in vitro assays and rodent liver lesion formation. Conclusions: This approach promises to provide meaningful data on the thousands of untested environmental chemicals,  and to guide targeted testing of environmental contaminants.",
      "keyword": [
        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
        "tox21",
        "epa research",
        "chemical science",
        "chemical health effects",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
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        "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
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      },
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        "https://edg.epa.gov/metadata/rest/document?id=%7B227B16A3-AEE1-4724-A91B-D4119F5A2C1B%7D"
      ],
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        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Interactive Chemical Safety for Sustainablity Toxicity Forecaster Dashboard",
      "description": "EPA researchers have been using advances in computational toxicology to address lack of data on the thousands of chemicals. EPA released chemical data on 1,800 chemicals. The 1,800 chemicals were screened in more than 800 rapid, automated tests (called high-throughput screening assays) to determine potential human health effects.  The data is available through the interactive Chemical Safety for Sustainability Dashboards (iCSS dashboard) and the complete data sets are also available for download.",
      "keyword": [
        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
        "actor",
        "chemical health effects",
        "chemical science",
        "epa research",
        "high-throughput data",
        "in vitro data",
        "tox21",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Matt Martin, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
        "hasEmail": "mailto:martin.matt@epa.gov"
      },
      "identifier": "9E05E004-0752-4881-B1EF-27456E0EE6CA",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9E05E004-0752-4881-B1EF-27456E0EE6CA%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B9E05E004-0752-4881-B1EF-27456E0EE6CA%7D"
      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Exposure Forecaster",
      "description": "The Exposure Forecaster Database (ExpoCastDB) is EPA's database for aggregating chemical exposure information and can be used to help with chemical exposure predictions. The database currently includes biomonitoring exposure data from three studies: the American Healthy Homes Survey, the First National Environmental Health Survey of Child Care Centers and the Children's Total Exposure to Persistent Pesticides and Other Persistent Organic Pollutants study. Data include the amounts of chemicals found in food, drinking water, air, dust indoor surfaces and urine. The database will eventually include high-throughput exposure predictions for thousands of chemicals based on manufacture and use information. EPA researchers developed high-throughput exposure models to predict exposures for 1,763 chemicals using production volume, environmental fate and transport models, and a simple indicator of consumer product use.The model is being improved by adding more refined indoor and consumer use information since these are also large determinants of exposure. As these models are refined and more exposure data is collected, it will be added to ExpoCastDB.",
      "keyword": [
        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
        "tox21",
        "epa research",
        "chemical health effects",
        "consumer product",
        "consumer product database",
        "chemical exposure",
        "expocast",
        "high-throughput exposure prediction",
        "wal-mart data",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
      },
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        "@type": "vcard:Contact",
        "fn": "John Wambaugh, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "identifier": "33778226-2C82-4EFE-A310-1225F2911A07",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B33778226-2C82-4EFE-A310-1225F2911A07%7D"
      ],
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      ],
      "programCode": [
        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Distributed Structure Searchable Toxicity",
      "description": "The Distributed Structure Searchable Toxicity (DSSTox) online resource provides high quality chemical structures and annotations in association with toxicity data. It helps to build a data foundation for improved structure-activity relationships and predictive toxicology. DSSTox publishes summarized chemical activity representations for structure-activity modeling and provides a structure browser. This tool also houses the chemical inventories for the ToxCast and Tox21 projects.",
      "keyword": [
        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
        "tox21",
        "epa research",
        "chemical health effects",
        "animal toxicity data",
        "animal toxicity",
        "animal studies",
        "chemical structure",
        "chemical annotations",
        "structure activity",
        "qsar",
        "dsstox",
        "distributed structure searchable toxicity",
        "epa",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Tony Williams, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "identifier": "0E749283-2A82-489B-A90D-067686928631",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7B0E749283-2A82-489B-A90D-067686928631%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0E749283-2A82-489B-A90D-067686928631%7D"
      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Consumer Product Category Database",
      "description": "The Chemical and Product Categories database (CPCat) catalogs the use of over 40,000 chemicals and their presence in different consumer products. The chemical use information is compiled from multiple sources while product information is gathered from publicly available Material Safety Data Sheets (MSDS). EPA researchers are evaluating the possibility of expanding the database with additional product and use information.",
      "keyword": [
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        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
        "tox21",
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        "chemical health effects",
        "consumer product",
        "consumer product database",
        "chemical exposure",
        "expocast",
        "high-throughput exposure prediction",
        "wal-mart data",
        "epa",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
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        "name": "U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)"
      },
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        "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "identifier": "90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD",
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      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7B90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B90CDFB11-E94E-4E84-942C-5B3D2B5ED0CD%7D"
      ],
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Aggregated Computational Toxicology Online Resource",
      "description": "Aggregated Computational Toxicology Online Resource (AcTOR) is EPA's online aggregator of all the public sources of chemical toxicity data. ACToR aggregates data from over 1,000 public sources on over 500,000 chemicals and is searchable by chemical name, other identifiers and by chemical structure. It can be used to query a specific chemical and find all publicly available hazard, exposure and risk assessment data. It also provides access to EPA's ToxCast, ToxRefDB, DSSTox, Dashboard and DSSTox data.",
      "keyword": [
        "chemical safety",
        "chemical safety research",
        "chemicals",
        "chemical testing",
        "innovative chemical testing",
        "computational toxicology",
        "chemical screening",
        "toxcast",
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        "chemical health effects",
        "animal toxicity",
        "animal toxicity data",
        "animal studies",
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        "united states",
        "environment"
      ],
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      "issued": "2014-01-01",
      "publisher": {
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      },
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        "fn": "Richard Judson, U.S. EPA Office of Research and Development (ORD) - National Center for Computational Toxicology (NCCT)",
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      },
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        "https://edg.epa.gov/metadata/rest/document?id=%7B46942636-82FB-46BD-B044-52EFEC632D00%7D"
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        }
      ],
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      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Ecotoxicology Database (ECOTOX)",
      "description": "The Ecotoxicology Database (ECOTOX) provides information on effects of single chemicals to ecologically-relevant species.",
      "keyword": [
        "datafinder",
        "substances",
        "chemicals",
        "environmental media topics",
        "species",
        "substances",
        "pesticides",
        "environment",
        "environment",
        "environment",
        "united states",
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      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
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        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development (ORD)"
      },
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        "@type": "vcard:Contact",
        "fn": "Jennifer Olker, ORD-CCTE-GLTED-TTB",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "identifier": "B68D31D1-D035-4678-8B0C-324CC433DBD4",
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      "references": [
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        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB68D31D1-D035-4678-8B0C-324CC433DBD4%7D"
      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB68D31D1-D035-4678-8B0C-324CC433DBD4%7D",
        "title": "Ecotoxicology Database (ECOTOX)"
      },
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          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ToxCast/ToxRefDB",
      "distribution": [
        {
          "accessURL": "https://www.epa.gov/comptox-tools/exploring-toxcast-data",
          "@type": "dcat:Distribution",
          "mediaType": "text/csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "description": "ToxCast is used as a cost-effective approach for efficiently prioritizing the toxicity testing of thousands of chemicals. It uses data from state-of-the-art high throughput screening (HTS) bioassay and builds computational models to forecast potential chemical toxicity in humans. ToxRefDB stores data related to ToxCast.",
      "keyword": [
        "substances",
        "chemicals",
        "human health",
        "health risks",
        "exposure",
        "human health",
        "health risks",
        "toxicity",
        "threshold level",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-01-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)"
      },
      "contactPoint": {
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
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      "distribution": [
        {
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          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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        {
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          "format": "Comma-Separated Values (.csv)",
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          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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        "en"
      ],
      "landingPage": {
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        "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Base Flow Index"
      },
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      "theme": [
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    },
    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Canal Density",
      "description": "This dataset represents canal density within individual, local and accumulated upstream catchments for NHDPlusV2 Waterbodies.  Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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        "texas",
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        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      ],
      "spatial": [
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      ],
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          "format": "Comma-Separated Values (.csv)",
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          "description": "This dataset represents canal density within individual, local and accumulated upstream catchments for NHDPlusV2 Waterbodies.  Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
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      },
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Dam Density and Storage Volume",
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        "oregon",
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        "vermont",
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        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
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      ],
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        {
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          "endDate": "2030"
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        {
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          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
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        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
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      ],
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      ],
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/node/276204",
          "format": "Comma-Separated Values (.csv)",
          "title": "Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
          "description": "This dataset represents the estimated density of georeferenced sites within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the EPA's Facility Registry Services (FRS) geodatabase. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting . Csv. The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).",
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        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
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        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
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        {
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          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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      },
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    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Atmospheric Deposition Program National Trends Network - Nitrogen Deposition",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: National Coal Resource Dataset System",
      "description": "This dataset represents coal mine density and storage volumes within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the National Coal Resource Dataset System (NCRDS). Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The National Coal Resources Data System (NCRDS) began as a cooperative venture between the USGS and State geological agencies in 1975 and focused on the stratigraphy and chemistry of coal. Web pages have been developed to query data within both the USCOAL database and a subset of the USCHEM database. The USTRAT database, due to its size and complexity, was first made available in 2011 for direct query through web pages. The (coal mine sites/AreaSqKm) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type.",
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      ],
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      "modified": "2023-11-13",
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      ],
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        "north carolina",
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        "oklahoma",
        "oregon",
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        "texas",
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        "west virginia",
        "wisconsin",
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      ],
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      ],
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      "@type": "dcat:Dataset",
      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Pesticide",
      "description": "This dataset represents the pesticide use within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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        "colorado",
        "connecticut",
        "delaware",
        "district of columbia",
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        "georgia",
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        "illinois",
        "indiana",
        "iowa",
        "kansas",
        "kentucky",
        "louisiana",
        "maine",
        "maryland",
        "massachusetts",
        "michigan",
        "minnesota",
        "mississippi",
        "missouri",
        "montana",
        "nebraska",
        "nevada",
        "new hampshire",
        "new jersey",
        "new mexico",
        "new york",
        "north carolina",
        "north dakota",
        "ohio",
        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
        "south dakota",
        "tennessee",
        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water, "
      },
      "contactPoint": {
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        "fn": "U.S. Environmental Protection Agency, Office of Water, Marc Weber",
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      },
      "identifier": "7D1FE157-43CD-4AA6-A1D3-37B4FC41065A",
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        "020:00"
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      "programCode": [
        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2030"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
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          "format": "Comma-Separated Values (.csv)",
          "title": "Pesticide",
          "description": "This dataset represents the pesticide use within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. This data set is derived from 219, 1-kilometer (km) resolution grids depicting estimated agricultural use of each pesticide in the conterminous United States. Each grid cell value in the national grids of this dataset is the estimated total kilograms (kg) of pesticides applied to row crops, small grain crops and fallow land, pasture and hay crops, and orchard and vineyard crops within the 1- by 1-km area. A single raster was produced using the Raster Calculator Tool adding all 219 grids to form the landscape layer for analysis. The (kilograms of pesticides/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
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      },
      "references": [
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      ],
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    },
    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: PRISM Normals Data",
      "description": "This dataset represents climate observations within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the PRISM Climate Group. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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        "oregon",
        "pennsylvania",
        "rhode island",
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        "texas",
        "utah",
        "vermont",
        "virginia",
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        "wisconsin",
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      ],
      "modified": "2023-11-13",
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      ],
      "spatial": [
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          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
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          "endDate": "2030"
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      ],
      "distribution": [
        {
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          "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms ‘catchment’ and ‘watershed’ as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
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        {
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          "format": "Comma-Separated Values (.csv)",
          "title": "PRISM Normals Data",
          "description": "This dataset represents climate observations within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the PRISM Climate Group. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. PRISM is a set of monthly, yearly, and single-event gridded data products of mean temperature and precipitation, max/min temperatures, and dewpoints, primarily for the United States. In-situ point measurements are ingested into the PRISM (Parameter elevation Regression on Independent Slopes Model) statistical mapping system. The PRISM products use a weighted regression scheme to account for complex climate regimes associated with orography, rain shadows, temperature inversions, slope aspect, coastal proximity, and other factors. These data are summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
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        "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: PRISM Normals Data"
      },
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    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Road and Stream Intersections",
      "description": "This dataset represents the density of road and stream crossings within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0.  These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
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        "alabama",
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        "california",
        "colorado",
        "connecticut",
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        "florida",
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        "massachusetts",
        "michigan",
        "minnesota",
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        "nevada",
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        "new york",
        "north carolina",
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        "ohio",
        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
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        "texas",
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        "washington",
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        "wisconsin",
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      ],
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        }
      ],
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        {
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          "endDate": "2030"
        }
      ],
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        {
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          "title": "LakeCat Dataset",
          "description": "LakeCat currently contains over 300 metrics that include local catchment (Cat), watershed (Ws), and special metrics. See Geospatial Framework and Terms in the ReadMe for definitions of the terms ‘catchment’ and ‘watershed’ as used with the LakeCat Dataset. An additional metric, inStreamCat, indicates whether the variable was pulled from the StreamCat Dataset or calculated with a geospatial framework that was developed for LakeCat.\n\nThese metrics are available for 378,088 lakes and their associated catchments across the conterminous US. LakeCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
          "format": "API",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/node/276204",
          "format": "Comma-Separated Values (.csv)",
          "title": "Road and Stream Intersections",
          "description": "This dataset represents the density of road and stream crossings within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed by James Falcone of the USGS. US Census TIGER 2000 line files of roads and the NHDPlusV1 line files of all streams were converted to 30-meter grids where the presence of a street or stream was a 1 and everything else a 0.  These were intersected and anything that was a 1 in both grids is the result. The density of road and stream crossings (crossings / square kilometer) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
        "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Road and Stream Intersections"
      },
      "references": [
        "https://www.epa.gov/node/276204",
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      ],
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        "environment"
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    },
    {
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      "title": "The LakeCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Runoff",
      "description": "This dataset represents the estimated surface water runoff within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. The landscape layer (raster) was developed with a water-balance model developed by Dave Wolock of the USGS and is detailed further in the paper \"Independent effects of temperature and precipitation on modeled runoff in the conterminous United States\". McCabe and Wolock[2011] Runoff is defined as the flow per unit area delivered to streams and rivers in units of millimeters per month.   The runoff estimates were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
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        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
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        "tennessee",
        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
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        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water, "
      },
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        "@type": "vcard:Contact",
        "fn": "U.S. Environmental Protection Agency, Office of Water, Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov"
      },
      "identifier": "15669D84-E7E5-4E53-9FC3-0E022B6F40C0",
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        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "spatial": [
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        }
      ],
      "temporal": [
        {
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        {
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          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-metrics-and-definitions",
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      "theme": [
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      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: 2010 US Census Housing Unit and Population Density",
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      ],
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          "description": "This dataset represents the road density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from TIGER/Line Files of roads in the conterminous United States. Road density describes how many kilometers of road exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of road/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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          "downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
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        "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Anthropogenic Nitrogen per AOI within AOI"
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      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Aquifers",
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          "title": "Canal Density",
          "description": "This dataset represents the canal density within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics. This data set is derived from NHDPlusV2 line features classified as canal, ditch, or pipeline in the conterminous United States. Canal density describes how many kilometers of canal exist in a square kilometer. A raster was produced using the ArcGIS Line Density Tool to form the landscape layer for analysis. The (kilometer of canal/square kilometer) was summarized by local catchment and by watershed to produce local catchment-level and watershed-level metrics as a continuous data type.",
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    {
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      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Dam Density and Storage Volume",
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      },
      "identifier": "C64137B3-B0C3-428D-A7A0-62DF27816CA9",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2030"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "title": "StreamCat Dataset",
          "description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.\n\nThese metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
          "format": "API",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "format": "Comma-Separated Values (.csv)",
          "title": "Dam Density and Storage Volume",
          "description": "This dataset represents the dam density and storage volumes within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on National Inventory of Dams (NID) data. Attributes were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metrics.(See Supplementary Info for Glossary of Terms). The NID database contains information about the dams location, size, purpose, type, last inspection, regulatory facts, and other technical data. Structures on streams reduce the longitudinal and lateral hydrologic connectivity of the system. For example, impoundments above dams slow stream flow, cause deposition of sediment and reduce peak flows. Dams change both the discharge and sediment supply of streams, causing channel incision and bed coarsening downstream. Downstream areas are often sediment deprived, resulting in degradation, i.e., erosion of the stream bed and stream banks. This database was improved upon by locations verified by work from the USGS National Map (Jeff Simley Group). It was observed that some dams, some of them major and which do exist, were not part of the 2009 NID, but were represented in the USGS National Map dataset, and had been in the 2006 NID.  Approximately 1,100 such dams were added, based on the USGS National Map lat/long and the 2006 NID attributes (dam height, storage, etc.) Finally, as clean-up, a) about 600 records with duplicate NIDID were removed, and b) about 300 records were removed which represented the same location of the same dam but with a different NIDID, for the largest dams (did visual check of dams with storage above 5000 acre feet and are likely duplicated - about the 10,000 largest dams) . The (dams/catchment) and (dam_storage/catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a point data type",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
        "mediaType": "text/html"
      },
      "issued": "2015-04-23",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
        "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Dam Density and Storage Volume"
      },
      "references": [
        "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=C64137B3-B0C3-428D-A7A0-62DF27816CA9"
      ],
      "theme": [
        "environment"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
      "description": "This dataset represents the estimated density of georeferenced sites within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the EPA's Facility Registry Services (FRS) geodatabase. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting .csv. (see Data Sources for links to NHDPlusV2 data and FRS data) The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).",
      "keyword": [
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        "usa",
        "alabama",
        "arizona",
        "arkansas",
        "california",
        "colorado",
        "connecticut",
        "delaware",
        "district of columbia",
        "florida",
        "georgia",
        "idaho",
        "illinois",
        "indiana",
        "iowa",
        "kansas",
        "kentucky",
        "louisiana",
        "maine",
        "maryland",
        "massachusetts",
        "michigan",
        "minnesota",
        "mississippi",
        "missouri",
        "montana",
        "nebraska",
        "nevada",
        "new hampshire",
        "new jersey",
        "new mexico",
        "new york",
        "north carolina",
        "north dakota",
        "ohio",
        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
        "south dakota",
        "tennessee",
        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water, "
      },
      "contactPoint": {
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        "fn": "U.S. Environmental Protection Agency, Office of Water, Marc Weber",
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      },
      "identifier": "630C3CAA-B678-45FC-8641-E91C591BE13F",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2030"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "title": "StreamCat Dataset",
          "description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.\n\nThese metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
          "format": "API",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "format": "Comma-Separated Values (.csv)",
          "title": "Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites",
          "description": "This dataset represents the estimated density of georeferenced sites within individual, local NHDPlusV2 catchments and upstream, contributing watersheds based on the EPA's Facility Registry Services (FRS) geodatabase. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and then accumulated to provide watershed-level metrics. The FRS geodatabase is a collection of point locations of facilities or sites subject to environmental regulation. TRI, NPDES, and Superfund sites were extracted individually to summarize for each in the resulting .csv. (see Data Sources for links to NHDPlusV2 data and FRS data) The (site locations / catchment) were summarized and accumulated into watersheds to produce local catchment-level and watershed-level metrics as a points data type (see Data Structure and Attribute Information for a description of each metric).",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
        "mediaType": "text/html"
      },
      "issued": "2015-04-23",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
        "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Facility Registry Services (FRS) : Toxic Release Inventory (TRI) , National Pollutant Discharge Elimination System (NPDES) , and Superfund Sites"
      },
      "references": [
        "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=630C3CAA-B678-45FC-8641-E91C591BE13F"
      ],
      "theme": [
        "environment"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Forest Loss By Year 2001 to 2013",
      "description": "This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000-2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, representing loss detected primarily in the year 2000-2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
      "keyword": [
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        "ecosystem",
        "environment",
        "monitoring",
        "natural resources",
        "surface water",
        "modeling",
        "united states of america",
        "united states",
        "usa",
        "alabama",
        "arizona",
        "arkansas",
        "california",
        "colorado",
        "connecticut",
        "delaware",
        "district of columbia",
        "florida",
        "georgia",
        "idaho",
        "illinois",
        "indiana",
        "iowa",
        "kansas",
        "kentucky",
        "louisiana",
        "maine",
        "maryland",
        "massachusetts",
        "michigan",
        "minnesota",
        "mississippi",
        "missouri",
        "montana",
        "nebraska",
        "nevada",
        "new hampshire",
        "new jersey",
        "new mexico",
        "new york",
        "north carolina",
        "north dakota",
        "ohio",
        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
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        "tennessee",
        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water, "
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "U.S. Environmental Protection Agency, Office of Water, Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov"
      },
      "identifier": "14889232-F9DE-468E-854D-9C11A25238D5",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "public (Data asset is or could be made publicly available to all without restrictions)"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2030"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "title": "StreamCat Dataset",
          "description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.\n\nThese metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
          "format": "API",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "format": "Comma-Separated Values (.csv)",
          "title": "Forest Loss By Year 2001 to 2013",
          "description": "This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000-2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, representing loss detected primarily in the year 2000-2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
        "mediaType": "text/html"
      },
      "issued": "2015-04-23",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
        "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Forest Loss By Year 2001 to 2013"
      },
      "references": [
        "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=14889232-F9DE-468E-854D-9C11A25238D5"
      ],
      "theme": [
        "environment"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: GeoChemPhys",
      "description": "This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metric. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.",
      "keyword": [
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        "ecosystem",
        "environment",
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        "united states",
        "usa",
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        "california",
        "colorado",
        "connecticut",
        "delaware",
        "district of columbia",
        "florida",
        "georgia",
        "idaho",
        "illinois",
        "indiana",
        "iowa",
        "kansas",
        "kentucky",
        "louisiana",
        "maine",
        "maryland",
        "massachusetts",
        "michigan",
        "minnesota",
        "mississippi",
        "missouri",
        "montana",
        "nebraska",
        "nevada",
        "new hampshire",
        "new jersey",
        "new mexico",
        "new york",
        "north carolina",
        "north dakota",
        "ohio",
        "oklahoma",
        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
        "south dakota",
        "tennessee",
        "texas",
        "utah",
        "vermont",
        "virginia",
        "washington",
        "west virginia",
        "wisconsin",
        "wyoming"
      ],
      "modified": "2023-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water, "
      },
      "contactPoint": {
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        "fn": "U.S. Environmental Protection Agency, Office of Water, Marc Weber",
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      },
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        "020:00"
      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-125.0 24.5, -66.5 24.5, -66.5 49.5, -125.0 49.5, -125.0 24.5))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2015",
          "endDate": "2030"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "title": "StreamCat Dataset",
          "description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.\n\nThese metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
          "format": "API",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "format": "Comma-Separated Values (.csv)",
          "title": "GeoChemPhys",
          "description": "This dataset represents geochemical or geophysical attributes in surface or near surface geology within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Attributes of the landscape layer were calculated for every local NHDPlusV2 catchment and accumulated to provide watershed-level metric. For information regarding how the Landscape layers were created see https://www.sciencebase.gov/catalog/item/53481333e4b06f6ce034aae7. Landscape Layers are partitioned into 4 tables based on the location of no-data cells within their rasters to correctly reflect the PctFull attributes within each table.",
          "mediaType": "text/csv",
          "describedBy": {
            "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
            "mediaType": "text/html"
          },
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accrualPeriodicity": "R/P3Y",
      "dataQuality": true,
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
        "mediaType": "text/html"
      },
      "issued": "2015-04-23",
      "language": [
        "en"
      ],
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
        "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: GeoChemPhys"
      },
      "references": [
        "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=61F319E2-0048-4FEE-A3BF-4B1298EB93FE"
      ],
      "theme": [
        "environment"
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Index of Watershed Integrity / Index of Catchment Integrity (IWI/ICI)",
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        "oregon",
        "pennsylvania",
        "rhode island",
        "south carolina",
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        "tennessee",
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        "west virginia",
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          "description": "This dataset represents % of land without agricultural drainage, described in DOI: 10.1016/j.scitotenv.2020.137661,  within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.",
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      "theme": [
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    {
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        "texas",
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      ],
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        "name": "U.S. EPA Office of Water (OW)"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "WATERS Support",
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      "keyword": [
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        "Surface Water",
        "Water",
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        "inlandWaters",
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        "oceans",
        "mapping",
        "stream network",
        "NHDPlus"
      ],
      "bureauCode": [
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      "modified": "2024-05-14",
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          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2024-05-14"
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      "dataQuality": true,
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/waterdata/waters-watershed-assessment-tracking-environmental-results-system/",
        "title": "Office of Water Linked Data"
      },
      "distribution": [
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          "@type": "dcat:Distribution",
          "accessURL": "https://watersgeo.epa.gov/arcgis/rest/services/owld",
          "title": "Office of Water GIS Services for OWLD datasets",
          "format": "API",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "programCode": [
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      ],
      "primaryitinvestmentuii": "020-000000087",
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Water Contaminant Information Tool",
      "description": "The Water Contaminant Information Tool (WCIT) is a secure, on-line database that provides current, reliable information on chemical, biological, and radiological contaminants of concern for water security. The WCIT database assists in planning for and responding to drinking water and wastewater (water) contamination threats and incidents. As a planning tool, WCIT supports vulnerability assessments, emergency response plans, and site-specific response guidelines. As a response tool, WCIT provides contaminant data to help responders (including utilities) make appropriate response decisions. WCIT also helps EPA to identify gaps in contaminant data, which will, in turn, help inform future research efforts.",
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        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW)"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Veronica Aponte-Morales",
        "hasEmail": "mailto:aponte-morales.veronica@epa.gov"
      },
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        "Chemicals",
        "Drinking Water",
        "Emergency Response",
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        "Drinking Water Utilities",
        "Water Security"
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      "bureauCode": [
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          "startDate": "2005",
          "endDate": "2021"
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      "dataQuality": true,
      "programCode": [
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      "systemofrecords": "https://www.epa.gov/privacy/privacy-act-system-records-epa-central-data-exchange-customer-registration-subsystem-epa-52",
      "primaryitinvestmentuii": "020-000000087",
      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "@type": "dcat:Dataset",
      "title": "WIFIA Vault",
      "description": "The Water Infrastructure Finance and Innovation Act of 2014 (WIFIA) established a federal credit program administered by EPA. WIFIA authorizes EPA to provide loans to eligible water infrastructure projects. After a loan is closed, WIFIA’s portfolio management team leads individual transactions from closing to final maturity (this can be 35+ years). Portfolio management responsibilities are numerous but generally are intended to achieve the following critical objectives:\n•\tmonitor portfolio risk and compliance, \n•\ttrack key loan requirements, information and status, \n•\tdocument and track disbursements, repayments, and related accounting actions, \n•\tmaintain and document borrower communication, and \n•\tmaintain robust loan-specific and portfolio-wide metrics reporting capabilities.",
      "publisher": {
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        "name": "U.S. EPA Office of Water (OW)"
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      "contactPoint": {
        "fn": "Kudzai Mukushi",
        "hasEmail": "mailto:Mukushi.Kudzai@epa.gov",
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      "keyword": [
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        "structure",
        "Loan",
        "Finance",
        "Infrastructure"
      ],
      "identifier": "7a9c7c95-3f18-4ece-aad0-dc748a206d89",
      "accessLevel": "non-public",
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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          "endDate": "2021"
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      "accrualPeriodicity": "R/P1D",
      "dataQuality": true,
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      "modified": "2021-12-14",
      "accessRights": "Not available for public release. Contact the publisher for more information."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Data on Aquatic Resources Tracking for Effective Regulation",
      "description": "DARTER is EPA's system to manage its workflow in the Clean Water Act Section 404 permit program. Section 404 requires a permit from the U.S. Army Corps of Engineers, or EPA-approved State, for the discharge of dredged or fill material into waters of the United States. EPA plays a number of roles in the Section 404 permit program including developing and interpreting policy, guidance and environmental criteria used in evaluating permit applications, determining the scope of geographic jurisdiction and reviewing and commenting on proposed Section 404 permits. DARTER allows EPA staff to: \n- Track agency involvement in pre-application coordination, review of public notices for proposed permits, review of third party mitigation projects and proposed jurisdictional determinations;\n- Prepare and share EPA-generated jurisdictional determinations; and\n- Access shared data from the U.S. Army Corps of Engineers’ national regulatory program data management system known as OMBIL Regulatory Module (ORM2)\n",
      "publisher": {
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        "name": "U.S. EPA Office of Water (OW)"
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      "contactPoint": {
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        "Wetlands",
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        "Jurisdictional determinations"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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          "endDate": "2021"
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      ],
      "accrualPeriodicity": "R/P1D",
      "dataQuality": true,
      "programCode": [
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      ],
      "primaryitinvestmentuii": "020-000000087",
      "modified": "2023-02-28",
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Water Quality Portal",
      "description": "The Water Quality Portal (WQP) is the premiere source of discrete water-quality data in the United States and beyond. This cooperative service integrates publicly available water-quality data from the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and over 400 state, federal, tribal, and local agencies.",
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        "oceans",
        "Water Quality",
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      ],
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      "accessLevel": "public",
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          "startDate": "1987",
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        }
      ],
      "accrualPeriodicity": "R/P1D",
      "dataQuality": true,
      "landingPage": {
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      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "State-Specific Water Quality Standards Effective under the Clean Water Act (CWA)",
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      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Wetland Program Pilot Grants",
      "description": "The Wetland Grant Database (WGD) houses grant data for Wetland Program Development Grants (created by EPA in 1990 under the Clean Water Act Section 104(b)(3) authority).   The Wetland Grants Database contains further information on Wetland Program Pilot Grants that were awarded in past years.",
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      ],
      "dataQuality": false,
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Wetland Program Development Grants (WPDGs) Case Studies",
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      "keyword": [
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    },
    {
      "@type": "dcat:Dataset",
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      ],
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      "dataQuality": false,
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    },
    {
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      "description": "EPA uses the Unregulated Contaminant Monitoring (UCM) program to collect data for contaminants suspected to be present in drinking water, but that do not have health-based standards set under the Safe Drinking Water Act (SDWA). Every five years EPA reviews the list of contaminants, largely based on the Contaminant Candidate List.",
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      ],
      "dataQuality": false,
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    },
    {
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    },
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      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Summary of Annual Beach Notifications",
      "description": "To help beachgoers make informed decisions about swimming at U.S. beaches, EPA gathers state-by-state data about beach closings and advisories. Between 1999 and 2012, EPA published a national summary report about the previous year's swimming season data.",
      "keyword": [
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        "swimming",
        "recreation",
        "beach closures",
        "human health advisories",
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      ],
      "modified": "2023-06-22",
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      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "State National Pollutant Discharge Elimination System (NPDES) Program Withdrawal Petitions",
      "description": "Search for pending and resolved NPDES withdrawal petitions by state, region, date, or keyword.  \"Pending\" means EPA has received the petition and is working with the state and petitioner to resolve it. \"Withdrew petition\" means that the petitioner has withdrawn the petition they submitted. \"Resolved\" means that EPA has resolved the issues raised in the petition and has denied the petition. \"Partially resolved\" means that EPA has partially denied the petition by resolving some of the issues, while continuing to work with the state and petitioner on other pending issues. \"Program withdrawn\" would apply if, after conducting investigations, EPA withdrew a state's NPDES authority.",
      "keyword": [
        "ndpes",
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      "modified": "2012-12-12",
      "issued": "2014-01-01",
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        "name": "U.S. EPA Office of Water (OW) - Office of Wastewater Management (OWM)"
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Six-Year Review Contaminant Occurrence Data",
      "description": "The Safe Drinking Water Act (SDWA) requires EPA to review each National Primary Drinking Water Regulation (NPDWR) at least once every six years and revise them, if appropriate.  The purpose of the review, called the Six-Year Review, is to identify those NPDWRs for which current health effects assessments, changes in technology, and/or other factors provide a health or technical basis to support a regulatory revision that will maintain or strengthen public health protection. To support the national contaminant occurrence and exposure assessments performed under the Six-Year Review process, EPA analyzes SDWA compliance monitoring data from public water supplies for regulated drinking water contaminants.  This analysis allows EPA to characterize the national occurrence of contaminants to help the Agency determine if there may be a meaningful opportunity to improve public health protection.",
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      "modified": "2010-03-01",
      "issued": "2014-01-01",
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      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "SDWISFED Drinking Water Data",
      "description": "SDWIS/FED is EPA's national regulatory compliance database for the drinking water program. It includes information on the nation's 160,000 public water systems and violations of drinking water regulations. Access aggregated information on all violations reported in an EPA region, state, and county since 1993 using the MS Excel PivotTables. These multidimensional tables contain aggregated information on water systems; violations reported by violation type and by contaminant/rule, and GPRA data, for each year since 1993; and current Envirofacts data. Sort, categorize, and analyze the data across several dimensions.",
      "keyword": [
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        "https://edg.epa.gov/metadata/rest/document?id=%7B10CF7CDC-83C5-46FF-8581-342DD8ADE202%7D"
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    },
    {
      "@type": "dcat:Dataset",
      "title": "National List of Beaches",
      "description": "EPA has published a list of coastal recreation waters adjacent to beaches (or similar points of access) used by the public in the U.S.  The list, required by the Beaches Environmental Assessment and Coastal Health Act (BEACH Act), identifies waters that are subject to a state beach water quality monitoring and public notification program consistent with the National Beach Guidance and Required Performance Criteria for BEACH Act Grants.",
      "keyword": [
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      "dataQuality": false,
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Drinking Water State Revolving Fund",
      "description": "The Drinking Water State Revolving Fund (DWSRF) National Information Management System collects information that provide a record of progress and accountability for the program.  Reports on DWSRF activity are currently available for state fiscal years (July-June) 1996 through 2010.",
      "keyword": [
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      ],
      "dataQuality": false,
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Drinking Water Maximum Contaminant Levels (MCLs)",
      "description": "National Primary Drinking Water Regulations (NPDWRs or primary standards) are legally enforceable standards that apply to public water systems. Primary standards protect public health by limiting the levels of contaminants in drinking water.",
      "keyword": [
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      ],
      "dataQuality": false,
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Distribution (State Allotment) of Drinking Water State Revolving Fund Appropriation from the American Recovery and Reinvestment Act of 2009 (ARRA)",
      "description": "The ARRA appropriation for the DWSRF program is $2,000,000,000. DWSRF allotments are based on percentages derived from the 2003 Drinking Water Infrastructure Needs Survey. For general and government-wide ARRA information, please visit EPA's Recovery site or RECOVERY.gov. This ARRA appropriation is in addition to the DWSRF appropriation for FY 2009",
      "keyword": [
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      "@type": "dcat:Dataset",
      "title": "Contaminant Candidate List 3",
      "description": "CCL 3 is a list of contaminants that are currently not subject to any proposed or promulgated national primary drinking water regulations, that are known or anticipated to occur in public water systems, and which may require regulation under the Safe Drinking Water Act (SDWA). The list includes, among others, pesticides, disinfection byproducts, chemicals used in commerce, waterborne pathogens, pharmaceuticals, and biological toxins. The Agency considered the best available data and information on health effects and occurrence to evaluate thousands of unregulated contaminants. EPA used a multi-step process to select 116 candidates for the final CCL 3. The final CCL 3 includes 104 chemicals or chemical groups and 12 microbiological contaminants.",
      "keyword": [
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      "title": "Contaminant Candidate List 2",
      "description": "CCL 2 is a list of contaminants that are currently not subject to any proposed or promulgated national primary drinking water regulations, that are known or anticipated to occur in public water systems, and which may require regulation under the Safe Drinking Water Act (SDWA). The list includes, among others, pesticides, disinfection byproducts, chemicals used in commerce, waterborne pathogens, pharmaceuticals, and biological toxins. The Agency considered the best available data and information on health effects and occurrence to evaluate thousands of unregulated contaminants.",
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    {
      "@type": "dcat:Dataset",
      "title": "2013 EPA Vessels General Permit (VGP)",
      "description": "Information for any vessel that submitted a Notice of Intent (NOI), Notice of Termination (NOT), or annual report under EPA's 2013 Vessel General Permit (VGP).  Search results will be presented in a table; however, you can also download more detailed information on the vessels identified in these search results into an excel spreadsheet, or an HTML file, which can be saved to your desktop for further review and analysis.",
      "keyword": [
        "permits",
        "npdes",
        "vgp",
        "vessels",
        "discharges",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2014-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wastewater Management (OWM)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jack Faulk, U.S. EPA Office of Water (OW) - Office of Wastewater Management (OWM)",
        "hasEmail": "mailto:faulk.jack@epa.gov"
      },
      "identifier": "{B4829C41-1361-41A4-A24C-DC40305DC71B}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/rest/document?id=%7BB4829C41-1361-41A4-A24C-DC40305DC71B%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB4829C41-1361-41A4-A24C-DC40305DC71B%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Beach Advisory and Closing Online Notification (BEACON) system",
      "description": "Beach Advisory and Closing Online Notification system (BEACON) is a colletion of state and local data reported to EPA about beach closings and advisories.  BEACON is the public-facing query of the Program tracking, Beach Advisories, Water quality standards, and Nutrients database (PRAWN) which tracks beach closing and advisory information.",
      "keyword": [
        "datafinder",
        "water",
        "surface water",
        "lakes",
        "oceans",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2013-11-12",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Bill Kramer, U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)",
        "hasEmail": "mailto:kramer.bill@epa.gov"
      },
      "identifier": "020CFECD-E8C1-4FA7-ADC7-CDE9B40F2F2C",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B020CFECD-E8C1-4FA7-ADC7-CDE9B40F2F2C%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B020CFECD-E8C1-4FA7-ADC7-CDE9B40F2F2C%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Human Health Benchmarks for Pesticides",
      "description": "Advanced testing methods now allow pesticides to be detected in water at very low levels. These small amounts of pesticides detected in drinking water or source water for drinking water do not necessarily indicate a health risk. The EPA has developed human health benchmarks for 363 pesticides to enable our partners to better determine whether the detection of a pesticide in drinking water or source waters for drinking water may indicate a potential health risk and to help them prioritize monitoring efforts.\n\nThe table below includes benchmarks for acute (one-day) and chronic (lifetime) exposures for the most sensitive populations from exposure to pesticides that may be found in surface or ground water sources of drinking water. The table also includes benchmarks for 40 pesticides in drinking water that have the potential for cancer risk. The HHBP table includes pesticide active ingredients for which Health Advisories or enforceable National Primary Drinking Water Regulations (e.g., maximum contaminant levels) have not been developed.",
      "keyword": [
        "human health",
        "pesticides",
        "drinking water",
        "environment",
        "environment",
        "united states",
        "environment"
      ],
      "modified": "2013-08-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Groundwater and Drinking Water (OGWDW)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Safe Drinking Water Hotline",
        "hasEmail": "mailto:safewater@epa.gov"
      },
      "identifier": "{0FF393D0-2B3C-47E0-A43A-3E691A72C417}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/sdwa/2021-human-health-benchmarks-pesticides",
        "https://edg.epa.gov/metadata/rest/document?id=%7B0FF393D0-2B3C-47E0-A43A-3E691A72C417%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0FF393D0-2B3C-47E0-A43A-3E691A72C417%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "National Coastal Condition Assessment (NCCA)",
      "description": "During the summer of 2010, state and EPA crews conducted field sampling for the fifth National Coastal Condition Assessment (NCCA). The assessment is in the data analysis and report development phase. A summary of the results of the assessment, National Coastal Condition Assessment 2010, is planned by late 2014. The NCCR IV, which summarizes the findings of the coastal assessment conducted between 2003 and 2006, is now available.",
      "keyword": [
        "national coastal condition assessment",
        "coastal",
        "sampling",
        "assessment",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2012-02-02",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Sarah Lehmann, U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)",
        "hasEmail": "mailto:lehmann.sarah@epa.gov"
      },
      "identifier": "{8069F7C0-73FD-40AC-9E13-8B06CC7B8D14}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8069F7C0-73FD-40AC-9E13-8B06CC7B8D14%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B8069F7C0-73FD-40AC-9E13-8B06CC7B8D14%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
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          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Commercial Nitrogen Fertilizer Purchased",
      "description": "Amounts of fertilizer nitrogen (N) purchased by states in individual years 2003, 2005, 2007, 2009 and 2011, and the % change in average amounts purchased per year from 2002-2006 to 2007-2011. Fertilizer information is reported by state fertilizer control offices and excludes livestock manure, liming materials, peat, potting soils, soil amendments, soil additives, and soil conditioners.",
      "keyword": [
        "commercial purchases",
        "nitrogen",
        "fertilzer",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2002-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": " U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Mario Sengco,  U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)",
        "hasEmail": "mailto:sengco.mario@epa.gov"
      },
      "identifier": "{E6ED0B26-F4A5-4DD0-AA45-1BE1101DB2EC}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/nutrientpollution/commercial-fertilizer-purchased",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BE6ED0B26-F4A5-4DD0-AA45-1BE1101DB2EC%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7BE6ED0B26-F4A5-4DD0-AA45-1BE1101DB2EC%7D"
      ],
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Commercial Phosphorus Fertilizer Purchased",
      "description": "Amounts of fertilizer P2O5 purchased by states in individual years 2003, 2005, 2007, 2009 and 2011, and the % change in average amounts purchased per year from 2002-2006 to 2007-2011. Fertilizer information is reported by state fertilizer control offices and excludes livestock manure, liming materials, peat, potting soils, soil amendments, soil additives, and soil conditioners.",
      "keyword": [
        "commercial purchases",
        "phosporus",
        "fertilzer",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2002-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)"
      },
      "contactPoint": {
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        "fn": "Mario Sengco, U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)",
        "hasEmail": "mailto:sengco.mario@epa.gov"
      },
      "identifier": "{46B3DC8A-2ABA-47A3-96B5-1567C2496214}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/nutrientpollution/commercial-fertilizer-purchased",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B46B3DC8A-2ABA-47A3-96B5-1567C2496214%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B46B3DC8A-2ABA-47A3-96B5-1567C2496214%7D"
      ],
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Estimated Animal Agriculture Nitrogen and Phosphorus from Manure",
      "description": "Animal agriculture manure is a primary source of nitrogen and phosphorus to surface and groundwater. Manure runoff from cropland and pastures or discharging animal feeding operations and concentrated animal feeding operations (CAFOs) often reaches surface and groundwater systems through surface runoff or infiltration. Permitting discharging CAFOs to limit nitrogen and phosphorus discharge to surface waters, and implementing best management practices outlined in a manure management plan are critical steps to protecting water quality. This indicator shows animal agriculture manure produced in states in 2007 and 2017 (the year of the last Census of Agriculture) and expressed in terms of nitrogen and phosphorus content, rather than total amounts of manure, since different animal types produce manure with differing nitrogen and phosphorus concentrations. Data are for cattle, swine, poultry (chickens and turkeys), sheep, and horses. Data are presented as 1000s of kg of manure nitrogen and phosphorus as well as kilograms of manure nitrogen and phosphorus per km2 of farmland.",
      "keyword": [
        "nitrogen",
        "phosporus",
        "n",
        "p",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2002-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Mario Sengco, U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)",
        "hasEmail": "mailto:sengco.mario@epa.gov"
      },
      "identifier": "{CC5FDADD-8F9D-44CE-90A4-46461820DB9C}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/nutrientpollution/estimated-animal-agriculture-nitrogen-and-phosphorus-manure",
        "https://edg.epa.gov/metadata/rest/document?id=%7BCC5FDADD-8F9D-44CE-90A4-46461820DB9C%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BCC5FDADD-8F9D-44CE-90A4-46461820DB9C%7D"
      ],
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Estimated Total Nitrogen and Total Phosphorus Loads and Yields Generated within States",
      "description": "Estimated state-wide total nitrogen (TN) and total phosphorus (TP) loads and yields, as predicted by the 2012 regional USGS SPARROW models.Excess nitrogen and phosphorus loading impacts not only local waters, but also downstream waterbodies and coastal systems including the Chesapeake Bay, the Great Lakes, the Gulf of Mexico, and Puget Sound. The data in this indicator table are based on output from the United States Geological Survey’s (USGS) Spatially Referenced Regression On Watershed Attributes (SPARROW) models. SPARROW is a watershed modeling tool which, based on a mass-balance approach, estimates the excess amounts (i.e., amounts beyond assimilative capacity) of nitrogen and phosphorus exported from watersheds and delivered to downstream waterbodies. The models relate in-stream water quality measurements of nutrients taken at a network of monitoring stations to spatially referenced attributes of the corresponding watersheds, such as nutrient sources and environmental factors that affect rates of delivery to streams, as well as in-stream processing of nutrients.",
      "keyword": [
        "nutrients",
        "nitrogen",
        "n",
        "phosporus",
        "p",
        "model outputs",
        "sparrow",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2002-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)"
      },
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        "fn": "Mario Sengco, U.S. EPA Office of Water (OW) - Office of Science and Technology (OST)",
        "hasEmail": "mailto:sengco.mario@epa.gov"
      },
      "identifier": "{20874229-6A65-4AF7-BBF6-B0CB84B64ED5}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/nutrientpollution/estimated-total-nitrogen-and-total-phosphorus-loads-and-yields-generated-within",
        "https://edg.epa.gov/metadata/rest/document?id=%7B20874229-6A65-4AF7-BBF6-B0CB84B64ED5%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B20874229-6A65-4AF7-BBF6-B0CB84B64ED5%7D"
      ],
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "National Lakes Assessment Data",
      "description": "The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner.",
      "keyword": [
        "clean water act",
        "lakes",
        "nla",
        "statistical survey",
        "water quality",
        "reservoirs",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2010-08-13",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)"
      },
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        "fn": "Sarah Lehmann, U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)",
        "hasEmail": "mailto:lehmann.sarah@epa.gov"
      },
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      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://www.epa.gov/national-aquatic-resource-surveys/nla",
        "https://edg.epa.gov/metadata/rest/document?id=%7B668F7BE3-50D1-465C-A73D-B21625689159%7D",
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B668F7BE3-50D1-465C-A73D-B21625689159%7D"
      ],
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Wadeable Streams Assessment Data",
      "description": "The Wadeable Streams Assessment (WSA) is a first-ever statistically-valid survey of the biological condition of small streams throughout the U.S. EPA worked with the states to conduct the assessment in 2000-2004. 1,392 sites were selected at random to represent the condition of all streams in regions that share similar ecological characteristics. Participants used the same standardized methods at all sites, to ensure results that are comparable across the nation.",
      "keyword": [
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        "statistical survey",
        "water quality",
        "wsa",
        "environment",
        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2009-12-23",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)"
      },
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        "@type": "vcard:Contact",
        "fn": "Sarah Lehmann, U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)",
        "hasEmail": "mailto:lehmann.sarah@epa.gov"
      },
      "identifier": "{05E98574-1292-4377-AC6F-AE64C35A9889}",
      "accessLevel": "public",
      "accrualPeriodicity": "irregular",
      "references": [
        "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B05E98574-1292-4377-AC6F-AE64C35A9889%7D",
        "https://edg.epa.gov/metadata/rest/document?id=%7B05E98574-1292-4377-AC6F-AE64C35A9889%7D"
      ],
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
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        }
      ],
      "dataQuality": false,
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Water Quality attainment Information from Clean Water Act Statewide Statistical Surveys",
      "description": "Designated uses assessed by statewide statistical surveys and their state and national attainment categories. Statewide statistical surveys are water quality assessments designed to yield unbiased estimates of the condition of a whole resource (such as all lakes or streams in a state) based on monitoring a representative sample of those waters.",
      "keyword": [
        "clean water act",
        "cwa",
        "water quality",
        "statewide",
        "impaired waters",
        "statistical surveys",
        "designated uses",
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        "environment",
        "united states",
        "inlandwaters"
      ],
      "modified": "2014-10-01",
      "issued": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Kovatch, U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)",
        "hasEmail": "mailto:kovatch.charles@epa.gov"
      },
      "identifier": "{704E0D46-F2C6-4D43-B9E5-B21EAB26FB0F}",
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      "description": "This database processes approximately 3,000 Notice of Arrival (NOA) reporting forms from importers and exporters of pesticide products. This is an electronic version of the EPA Form 3540-1. The external user fills out the NOA and submits it electronically. The form is then processed by the Pesticides section and either approved or disapproved. The system then generates an Adobe PDF version of the EPA Form 3540-1 with signature or disapproval and emailed to the external user. The e-filing system eliminates the need for the Region to invest in paper, copying, storage and mailing expenses, while at the same time allowing the regulated community to conduct its business with us in a more expeditious manner.",
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    {
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      "accessLevel": "public",
      "description": "This database tracks the status of all Quality Assurance documents as required by 40 CFR Parts 30 and 31. 40 CFR Parts 30 and 31 historically established the uniform administrative requirements for EPA grants and cooperative agreements. Part 30 covered agreements with non-profit organizations, hospitals, and universities, while Part 31 applied to state and local governments. These regulations have largely been superseded by 2 CFR Part 200.",
      "keyword": [
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      "title": "Region 6 QTRAK",
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      "description": "This is now a storage and retrieval application. Permit information and enforcement information of Underground Injection Wells are scanned and stored as a part of this application.",
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      "title": "Region 6 Underground Injection Control (UIC) Program",
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    },
    {
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Air Compliance Complaint Database (ACCD)",
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      "dataQuality": false,
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Drycleaner Database - Region 7",
      "description": "THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for the Region 7 Drycleaner Database (R7DryClnDB) which tracks all Region7 drycleaners who notify Region 7 subject to Maximum Achievable Control Technologiy (MACT) standards. The Air and Waste Management Division is the primary managing entity for this database.  This work falls under objectives for EPA's 2003-2008 Strategic Plan (Goal 4) for Healthy Communities & Ecosystems, which are to reduce chemical and/or pesticide risks at facilities.",
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      ],
      "dataQuality": false,
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Quality Assurance Tracking System - R7 (QATS-R7)",
      "description": "This is metadata documentation for the Quality Assurance Tracking System - R7, an EPA Region 7 resource that tracks information on quality assurance reviews.  Also called the QA Tracking System-R7 or QATS-R7.  The reviews are completed under the Environmental Services (ENSV) Divsion at EPA Region 7.",
      "keyword": [
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        }
      ],
      "dataQuality": false,
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 7 Laboratory Information Management System",
      "description": "This is metadata documentation for the Region 7 Laboratory Information Management System (R7LIMS) which maintains records for the Regional Laboratory.  Any Laboratory analytical work performed is stored in this system which replaces LIMS-Lite, and before that LAST.  The EPA and its contractors may use this database. The Office of Policy & Management (PLMG) Division at EPA Region 7 is the primary managing entity; contractors can access this database but it is not accessible to the public.",
      "keyword": [
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      "license": "https://edg.epa.gov/EPA_Data_License.htm",
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      ],
      "dataQuality": false,
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Web Air Permits (WAP R7)",
      "description": "THIS DATA ASSET NO LONGER ACTIVE: This is metadata documentation for Web Air Permits in Region 7 (WAP R7), a Lotus Notes application that once tracked comment periods on air permits.  This work fell under objectives for EPA's 2006-2011 Strategic Plan (Goal 5) for Compliance and Environmental Stewardship which are to achieve environmental protection through improved compliance and environmental stewardship (i.e., monitoring and enforcement).  It was determined that this application was no longer used and was terminated on 5/22/2013. Data entries relating to air permits is now entered into an Excel spreadsheet and it is unclear if the original WAP database can be found.",
      "keyword": [
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        "iowa",
        "kansas",
        "missouri",
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      "modified": "2013-05-22",
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      "accrualPeriodicity": "irregular",
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      "description": "A list of all UPC codes and corresponding model numbers provided by partners for ENERGY STAR certified products. The brand, model name and model number continue to serve as the identifiers used to establish certification. The UPC code data below is intended to aid in identification of ENERGY STAR models. UPC code data is not provided for all certified models.",
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        "title": "ENERGY STAR Model Index"
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      "issued": "2018-02-04",
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      "identifier": "https://data.energystar.gov/api/views/9g6r-cpdt",
      "description": "Certified models meet all ENERGY STAR requirements as listed in the Version 8.0 ENERGY STAR Program Requirements for Clothes Washers that are effective as of February 5, 2018. A detailed listing of key efficiency criteria are available at https://www.energystar.gov/products/appliances/clothes_washers/key_product_criteria.",
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        "title": "ENERGY STAR Certified Geothermal Heat Pumps"
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      "issued": "2021-09-09",
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      "keyword": [
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    {
      "title": "StreamCat",
      "description": "The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. \n\nThis dataset is associated with the following publication:\nHill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA,  9, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-qz6k-6",
      "keyword": [
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset Plus (NHDPlus)",
        "database",
        "conterminous USA",
        "spatial prediction"
      ],
      "contactPoint": {
        "fn": "Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-17",
      "references": [
        "https://doi.org/10.1111/1752-1688.12372"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HexSim",
      "description": "Not applicable. This dataset is not publicly accessible because: Source code comments are the only item that meets the stated criteria for data.\r\nThe source code is not meaningful to store in ScienceHub and stored in with redundancy both on and off site.\r\nIt changes frequently. It can be accessed through the following means: The source code lives within a version control application and is not generally available to the public. Format: There are no datasets to add. \n\nThis dataset is associated with the following publication:\nDunk, J.R., B. Woodbridge, E.M. Glenn, R.J. Davis, K. Fitzgerald, P. Henson, D.W. LaPlante, B.G. Marcot, B.R. Noon, M.G. Raphael, N. Schumaker , and B. White. The Scientific Basis for Modeling Northern Spotted Owl Habitat: A Response to Loehle, Irwin, Manly, and Merrill.   FOREST ECOLOGY AND MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 358: 355-360, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390068",
      "keyword": [
        "HexSim",
        "Simulation Model",
        "wildlife",
        "plants"
      ],
      "contactPoint": {
        "fn": "Nathan Schumaker",
        "hasEmail": "mailto:schumaker.nathan@epa.gov"
      },
      "distribution": [],
      "modified": "2005-01-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Marcell peatland carbon and nitrogen dynamics",
      "description": "This dataset include US Forest Service (contact Dr. Stephen Sebestyen at USFS) long-term precipitation, atmospheric deposition, and hydrologic data for the years 2010-2013. The dataset also includes unique (never before collected) data on ammonification, denitrification, microbial enzyme activity, and nitrification. These data will be useful for long-term trend analyses and for further investigations on carbon and nitrogen cycling in peatlands. \n\nThis dataset is associated with the following publication:\nHill , B., T. Jicha , L. Lehto, C. Elonen , S. Sebestyen , and R. Kolka. Comparisons of soil nitrogen mass balances for an ombrotrophic bog and a minerotrophic fen in northern Minnesota.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 550: 880-892, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-h18p-3",
      "keyword": [
        "peatlands",
        "microbial enzyme activity",
        "ammonification",
        "bog",
        "dentrification",
        "fen",
        "nitrification",
        "watershed N budget"
      ],
      "contactPoint": {
        "fn": "Brian Hill",
        "hasEmail": "mailto:hill.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Marcell_all.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/3/Marcell_all.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.01.178"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/3/documents/MARCELL_All%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of Radiative Efficiency of Chemicals with Potentially Significant Global Warming Potential",
      "description": "The set of commercially available chemical substances in commerce that may have significant global warming potential (GWP) is not well defined. Although there are currently over 200 chemicals with high GWP reported by the Intergovernmental Panel on Climate Change, World Meteorological Organization, or Environmental Protection Agency, there may be hundreds of additional chemicals that may also have significant GWP. Evaluation of various approaches to estimate radiative efficiency (RE) and atmospheric lifetime will help to refine GWP estimates for compounds where no measured IR spectrum is available. This study compares values of RE calculated using computational chemistry techniques for 235 chemical compounds against the best available values. It is important to assess the reliability of the underlying computational methods for computing RE to understand the sources of deviations from the best available values. Computed vibrational frequency data is used to estimate RE values using several Pinnock-type models. The values derived using these models are found to be in reasonable agreement with reported RE values (though significant improvement is obtained through scaling). The effect of varying the computational method and basis set used to calculate the frequency data is also discussed. It is found that the vibrational intensities have a strong dependence on basis set and are largely responsible for differences in computed values of RE in this study. Deviations of calculated RE values are also analyzed by chemical classification, and it is found that some classes are computed more accurately than others. \n\nThis dataset is associated with the following publication:\nBetowski , D., C. Bevington , and T. Allison. Estimation of Radiative Forcing of Chemicals with Potentially Significant Global Warming Potential.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 0(0): 1-31, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-rbpj-11",
      "keyword": [
        "computational chemistry",
        "global warming potentials",
        "radiative efficiency",
        "IR frequencies"
      ],
      "contactPoint": {
        "fn": "Leon Betowski",
        "hasEmail": "mailto:betowski.don@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information_EST_3_31_16.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/11/Supporting%20Information_EST_3_31_16.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lipid correction for carbon stable isotope analysis of fish tissue",
      "description": "Fish chemistry data (d13C, d15N, C:N, lipid content) published in Rapid Commun. Mass Spectrom. 2015, 29, 2069–2077 DOI: 10.1002/rcm.7367. \n\nThis dataset is associated with the following publication:\nHoffman , J., M. Sierszen , and A. Cotter. Fish tissue lipid-C:N relationships for correcting ä13C values and estimating lipid content in aquatic food web studies.   Rapid Communications in Mass Spectrometry. Wiley InterScience, Silver Spring, MD, USA, 29(21): 2069–2077, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-280j-22",
      "keyword": [
        "food web",
        "stable isotope analsis",
        "Large Lakes assessment"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A_280j_Dataset_20160401.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/22/HoffmanJoel_A_280j_Dataset_20160401.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2011-06-28",
      "references": [
        "https://doi.org/10.1002/rcm.7367"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Brown, C.A., D. Sharp, and T. Mochon Collura.  2016.  Effect of Climate Change on Water Temperature and Attainment of Water Temperature Criteria in the Yaquina Estuary, Oregon (USA).   Estuarine, Coastal and Shelf Science.  169:136-146.",
      "description": "This dataset contains the research described in the following publication:\nBrown, C.A., D. Sharp, and T. Mochon Collura.  2016.  Effect of Climate Change on Water Temperature and Attainment of Water Temperature Criteria in the Yaquina Estuary, Oregon (USA).   Estuarine, Coastal and Shelf Science.  169:136-146, doi: 10.1016/j.ecss.2015.11.006. \n\nThis dataset is associated with the following publication:\nBrown , C., D. Sharp, and T. MochonCollura. Effect of Climate Change on Water Temperature and Attainment of Water Temperature Criteria in the Yaquina Estuary, Oregon (USA).   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 169: 136-146, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-x6bc-37",
      "keyword": [
        "Yaquina Estuary",
        "Oregon",
        "climate change",
        "estuary",
        "temperature"
      ],
      "contactPoint": {
        "fn": "Cheryl Brown",
        "hasEmail": "mailto:brown.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "Brown et al Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/37/Brown%20et%20al%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Cold Temperature and Ethanol Content on VOC Emissions from Light-Duty Gasoline Vehicles",
      "description": "Supporting information Table S6 provides emission rates in g/km of volatile organic compounds measured from gasoline vehicle exhaust during chassis dynamometer testing. Vehicles operated on ethanol blended fuels, E0, E10 and E85. Test temperatures were -7 and 24 degrees C. Data are average of replicate tests and listed by test condition and driving phase. \n\nThis dataset is associated with the following publication:\nGeorge , I., M. Hays , R. Snow , J. Faircloth , B. George , T. Long , and R. Baldauf. Cold temperature and biodiesel fuel effects on speciated VOC emissions from diesel trucks.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 48(24): 14782-14789, (2014).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-w0wg-44",
      "keyword": [
        "biofuels",
        "dynamometer",
        "air toxics",
        "vehicle emissions"
      ],
      "contactPoint": {
        "fn": "Ingrid George",
        "hasEmail": "mailto:george.ingrid@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.5b04102",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.5b04102",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-30",
      "references": [
        "https://doi.org/10.1021/es502949a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/44/documents/Data%20Dictionary%20for%20A-w0wg.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for generation of all Tables and Figures for CTEP publication in 2015 pertaining to large-scale diesel gensets tested",
      "description": "particulate and gaseous emissions and particle optical properties for emissions from large-scale diesel gensets with and without aftermarket PM controls. \n\nThis dataset is associated with the following publication:\nYelverton , T., A. Holder , and J. Pavlovic. Emissions Removal Efficiency from Diesel Gensets Using Aftermarket PM Controls.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 17(7): 1861-1871, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-gxdf-56",
      "keyword": [
        "EC",
        "BC",
        "PM mass",
        "particle size distribution",
        "diesel emissions",
        "diesel genset",
        "emissions factors",
        "PM control"
      ],
      "contactPoint": {
        "fn": "Tiffany Yelverton",
        "hasEmail": "mailto:yelverton.tiffany@epa.gov"
      },
      "distribution": [
        {
          "title": "SH-CTEP2015 data tables with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/56/SH-CTEP2015%20data%20tables%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-09-05",
      "references": [
        "https://doi.org/10.1007/s10098-015-0900-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for generation of all Tables and Figures for AIMS-ES publication in 2016 pertaining to dry sorbent injection of trona for acid gas control",
      "description": "emissions data and removal efficiencies for coal combustion utilizing PM control devices and dry sorbent injection of trona specifically for acid gas control. \n\nThis dataset is associated with the following publication:\nYelverton , T., D. Nash , E. Brown , C. Singer, J. Ryan , and P. Kariher. Dry sorbent injection of trona to control acid gases from a pilot-scale coal-fired combustion facility.   AIMS Environmental Science. AIMS Press, Springfield, MO, USA, 3(1): 45-57, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-x0kw-57",
      "keyword": [
        "removal efficiency",
        "ESP",
        "baghouse/fabric filter",
        "coal combustion",
        "acid gases",
        "dry sorbent injection (DSI)",
        "trona",
        "MATS",
        "emissions reduction"
      ],
      "contactPoint": {
        "fn": "Tiffany Yelverton",
        "hasEmail": "mailto:yelverton.tiffany@epa.gov"
      },
      "distribution": [
        {
          "title": "SH-AIMS ES 2016 data tables with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/57/SH-AIMS%20ES%202016%20data%20tables%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-18",
      "references": [
        "https://doi.org/10.3934/environsci.2016.1.45"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bob McEwen Treatment Plant Data (support ECM) and Water Quality Translation Data (support PDL)",
      "description": "Worksheet titled Data for ECM:  Data set used to estimate the error correction model to understand how turbidity and other variables affect drinking water treatment costs.  Worksheet titled Data for PDL:  Data set used to estimate the polynomial distributed lag model to understand how phosphorus load entering reservoir impacts turbidity at the drinking water treatment plant. \n\nThis dataset is associated with the following publication:\nHeberling , M., C. Nietch , H. Thurston , M. Elovitz , K. Birkenhauer, S. Panguluri, B. Ramakrishnan, E. Heiser, and T. Neyer. Comparing drinking water treatment costs to source water protection costs using time series analysis..   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 51(11): 8741-8756, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-63xz-23",
      "keyword": [
        "water treatment costs",
        "source water protection",
        "time series analysis",
        "water quality trading",
        "drinking water treatment plant"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "A-63xz-DWTP data-Heberling-20160405.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/23/A-63xz-DWTP%20data-Heberling-20160405.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-01",
      "references": [
        "https://doi.org/10.1002/2014wr016422"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Moser_NTT_52:2015",
      "description": "data supporting manuscript figures. \n\nThis dataset is associated with the following publication:\nMoser , V.C., P. Phillips , J. Hedge , and K. Mcdaniel. Neurotoxicological and thyroid evaluations of rats developmentally exposed to tris(1,3-dichloro-2-propyl)phosphate (TDICPP) and tris(2-chloro-2-ethyl)phosphate(TCEP).   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 52: 236-247, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-7h4b-20",
      "keyword": [
        "flame retardants",
        "TDCPP",
        "TDCIPP",
        "TCEP",
        "developmental neurotoxicity",
        "alternative models"
      ],
      "contactPoint": {
        "fn": "Virginia Moser",
        "hasEmail": "mailto:moser.ginger@epa.gov"
      },
      "distribution": [
        {
          "title": "Moser_A-7h4b_SDMP_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/20/Moser_A-7h4b_SDMP_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrated dataset of impact of dissolved organic matter on particle behavior and phototoxicity of titanium dioxide nanoparticles",
      "description": "This dataset is generated to both qualitatively and quantitatively examine the interactions between nano-TiO2 and natural organic matter (NOM). This integrated dataset assemble all data generated in this project through a series of experiments. \n\nThis dataset is associated with the following publication:\nLi , S., H. Ma, L. Wallis, M. Etterson , B. Riley , D. Hoff , and S. Diamond. Impact of natural organic matter on particle behavior and phototoxicity of titanium dioxide nanoparticles.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 542: 324-333, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-41nw-24",
      "keyword": [
        "Nano-TiO2",
        "Dissolved Organic Matter",
        "Quenching",
        "Aquatic Organism",
        "Linear Model",
        "Power Analysis"
      ],
      "contactPoint": {
        "fn": "Shibin Li",
        "hasEmail": "mailto:li.shibin@epa.gov"
      },
      "distribution": [
        {
          "title": "DATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/24/DATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-08",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2015.09.141",
        "https://pasteur.epa.gov/uploads/24/documents/Abbreviation.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A noninvasive method to study regulation of extracellular fluid volume in rats using nuclear magnetic resonance",
      "description": "NMR fluid measurements of commonly used rat strains when subjected to SQ normotonic or hypertonic salines, as well as physiologic comparisons to sedentary and exercised subjects. \n\nThis dataset is associated with the following publication:\nGordon , C., P. Phillips , and A. Johnstone. A Noninvasive Method to Study Regulation of Extracellular Fluid Volume in Rats Using Nuclear Magnetic Resonance.   American Journal of Physiology- Renal Physiology. American Physiological Society, Bethesda, MD, USA, 310(5): 426-31, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-5x6g-58",
      "keyword": [
        "Fluid homeostasis",
        "rodent",
        "nonivasive",
        "unanesthetized",
        "dehydration"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "SHC 2_63 Fluid NMR A5x6g_Data for Figures .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/58/SHC%202_63%20Fluid%20NMR%20A5x6g_Data%20for%20Figures%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Caloric restriction in lean and obese strains of laboratory rat: effects on body composition, metabolism, growth and overall health",
      "description": "Data related to obese and lean strains of rat commonly used in the laboratory that are calorically restricted and its effects on physiologic parameters (Body Composition and metabolism). \n\nThis dataset is associated with the following publication:\nAydin, C., K. Jarema , P. Phillips , and C. Gordon. Caloric Restriction in Lean and Obese Strains of Laboratory Rat: Effects on Body Composition, Metabolism, Growth, and Overall Health.   Experimental Physiology Journal. Wiley-Blackwell, Hoboken, NJ, USA, 100(1): 1280-97, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-kd5g-34",
      "keyword": [
        "Caloric restriction",
        "obesity",
        "Body composition",
        "Metabolism"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub - Caloric Restriction (E317).zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/34/Science%20Hub%20-%20Caloric%20Restriction%20%28E317%29.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of high-fructose and high-fat diets on pulmonary sensitivity, motor activity, and body composition of brown Norway rats exposed to ozone",
      "description": "pulmonary parameters, BALF biomarkers, body composition, motor activity data collected from rats exposed to ozone after high fructose or high fat diets. \n\nThis dataset is associated with the following publication:\nGordon , C., P. Phillips , A. Johnstone , T. Beasley , A. Ledbetter , M. Schladweiler , S. Snow, and U. Kodavanti. Effect of High Fructose and High Fat Diets on Pulmonary Sensitivity, Motor Activity, and Body Composition of Brown Norway Rats Exposed to Ozone.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(5): 203-15, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-nk9s-71",
      "keyword": [
        "air pollution",
        "BALF biomarkers",
        "food conusumption",
        "Metabolism",
        "obesity",
        "penH"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "GordonChristopher_SHC 2_63 Diet and Ozone in Brown Norways.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/71/GordonChristopher_SHC%202_63%20Diet%20and%20Ozone%20in%20Brown%20Norways.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-14",
      "references": [
        "https://doi.org/10.3109/08958378.2015.1134730"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acute and subchronic toxicity of inhaled toluene in male Long Evans rats: oxidative stress markers in brain",
      "description": "Research interested in oxidative stress markers following exposure to VOCs. \n\nThis dataset is associated with the following publication:\nKodavanti , P., J. Royland , D.A. Moore-Smith, J. Beas, J. Richards , T. Beasley , P. Evansky , and P.J. Bushnell. Acute and Subchronic Toxicity of Inhaled Toluene in Male Long-Evans Rats: Oxidative Stress Markers in Brain.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 51: 10-19, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-x96m-82",
      "keyword": [
        "toluene",
        "oxidative stress",
        "solvents",
        "antioxidants",
        "protein carbonyls",
        "aconiatase",
        "neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub-toluene-AcuteSubchro-calculated data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/82/Science%20Hub-toluene-AcuteSubchro-calculated%20data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-27",
      "references": [
        "https://doi.org/10.1016/j.neuro.2015.09.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting Boyes et al., Neurotoxicology 53, 257-270, 2016 ",
      "description": "Visual evoked potential data from rats exposed to toluene\nElectroretinogram data from rats exposed to toluene\nCounts of rod and m-cone photoreceptor cells in retinas of rats exposed to toluene. \n\nThis dataset is associated with the following publication:\nBoyes , W., M. Bercegeay, L. Degn , T. Beasley , P. Evansky , J.C. Mwanza, A. Geller , C. Pinckney, M.T. Nork, and P.J. Bushnell. Toluene Inhalation Exposure for 13 Weeks Causes Persistent Changes in Electroretinograms of Long-Evans Rats.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 53: 257-270, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-2549-92",
      "keyword": [
        "visual evoked potentials",
        "electroretinograms",
        "toluene",
        "rod and m-cone photoreceptors",
        "organic solvents",
        "hydrocarbon vapors",
        "neurotoxicity",
        "visual impairment",
        "retina",
        "hazardous air pollutants",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "William Boyes",
        "hasEmail": "mailto:boyes.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Data support files for ORD-015081.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/92/Data%20support%20files%20for%20ORD-015081.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-01",
      "references": [
        "https://doi.org/10.1016/j.neuro.2016.02.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and Summaries for Catalytic Destruction of a Surrogate Organic Hazardous Air Pollutant as a Potential Co-benefit for Coal-Fired Selective Catalytic Reduction Systems",
      "description": "Table 1 summarizes and explanis the Operating Conditions of the SCR Reactor used in the Benzene-Destruction.\nTable 2 summarizes and explains the Experimental Design and Test Results.\nTable 3 summarizes and explains the Estimates for Individual Effects and Cross Effects Obtained from the Linear Regression Models for Destruction of C6H6 and Reduction of NO.\n\nFig. 1 shows the Down-flow SCR reactor system in detail.\nFig. 2 shows the graphical summary of the Effect of the inlet C6H6 concentration to the SCR reactor on the destruction of C6H6.\nFig.3 shows the summary of Carbon mass balance for C6H6 destruction promoted by the V2O5-WO3/TiO2 catalyst. \n\nThis dataset is associated with the following publication:\nLee , C., Y. Zhao, S. Lu, and W.R. Stevens. Catalytic Destruction of a Surrogate Organic Hazardous Air Polutant as a Potential Co-benefit for Coal-fired Selective Catalyst Reduction Systems.   AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 30(3): 2240-2247, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-1rnb-94",
      "keyword": [
        "hazardous air pollutants (HAPs) selective catalytic reduction (SCR) resonance-enhanced multiphoton ionization time-of-flight mass spectrometer (REMPI-TOFMS) total hydrocarbon (THC) benzene (C6H6)",
        "selective catalytic reduction; organic hazardous air pollutants; co-benefit; benzene; coal combustion"
      ],
      "contactPoint": {
        "fn": "Chun Lee",
        "hasEmail": "mailto:lee.chun-wai@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/94/Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-11",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.5b02058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pulmonary sensitivity to ozone exposure in sedentary versus chronically trained, female rats",
      "description": "Pulmonary effects to ozone with rats that have chronically exercised or have been continuously sedentary.  Also includes body composition of both groups throughout experimentation. \n\nThis dataset is associated with the following publication:\nGordon , C., P. Phillips , T. Beasley , A. Ledbetter , A. Cenk, U. Kodavanti , and A. Johnstone. Pulmonary Sensitivity to Ozone Exposure in Sedentary Versus Chronically Trained, Female Rats.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA,  293-302, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-prrp-60",
      "keyword": [
        "air pollution",
        "Body composition",
        "fat loss",
        "obesity"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "SHC 2_63_Ozone and exercise_Data for figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/60/SHC%202_63_Ozone%20and%20exercise_Data%20for%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2000-2010 Annual State-Scale Service and Domain Scores for Forecasting Well-Being from Service-Based Decisions",
      "description": "2000-2010 Annual State-Scale Service and Domain scores used to support the approach for forecasting EPA's Human Well-Being Index. A modeling approach was developed based relationship function equations derived from select economic, social and ecosystem final goods and service scores and calculated human well-being index and related domain scores. These data are being used in a secondary capacity. The foundational data and scoring techniques were originally described in: a) U.S. EPA. 2012. Indicators and Methods for Constructing a U.S. Human Well-being Index (HWBI) for Ecosystem Services Research. Report. EPA/600/R-12/023. pp. 121; and b) U.S. EPA. 2014. Indicators and Methods for Evaluating Economic, Ecosystem and Social Services Provisioning. Report. EPA/600/R-14/184. pp. 174. Mode Smith, L. M., Harwell, L. C., Summers, J. K., Smith, H. M., Wade, C. M., Straub, K. R. and J.L. Case (2014). \n\nThis dataset is associated with the following publication:\nSummers , K., L. Harwell , and L. Smith. A Model For Change: An Approach for Forecasting Well-Being From Service-Based Decisions.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 69: 295-309, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-1jwv-28",
      "keyword": [
        "Service scores",
        "Domain scores",
        "HWBI",
        "Secondary data",
        "Human Well-Being Index",
        "Forecasting",
        "Relationship Functions",
        "Affective Forecasting",
        "Community Decision-Making"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "SummersJames_A-1jwv_DATA_20160421.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/28/SummersJames_A-1jwv_DATA_20160421.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-05-14",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2016.04.033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/28/documents/SH-Data-Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Economic and environmental evaluation of coal-and-biomass-to-liquids-and-electricity plants equipped with carbon capture and storage (data for figures and tables)",
      "description": "Data used in the manuscript's tables and figures. Most data represent the modeled optimal capacity of the coal-and-biomass-to-liquid fuels-and-electricity (CBTLE) with integrated carbon capture and sequestration (CCS) over a wide range of scenarios. \n\nThis dataset is associated with the following publication:\nAitken, M., D. Loughlin , R. Dodder , and W. Yelverton. Economic and environmental evaluation of coal-and-biomass-to-liquids-and-electricity plants equipped with carbon capture and storage.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 18(2): 573-581, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-9gj5-70",
      "keyword": [
        "Energy systems modeling",
        "MARKAL",
        "nested sensitivity analysis",
        "electricity generation",
        "coal",
        "emission projections",
        "scenario analysis",
        "air quality",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "CBTLE_TableFigData_A-9gj5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/70/CBTLE_TableFigData_A-9gj5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-02",
      "references": [
        "http://link.springer.com/article/10.1007/s10098-015-1020-z/fulltext.html"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Suppression of antigen-specific antibody responses in mice exposed to perfluorooctanoic acid: Role of PPARa and T- and B-cell targeting",
      "description": "Dosing information, body weights during exposure and immune system endpoints. \n\nThis dataset is associated with the following publication:\nDeWitt, J., W. Williams , J. Creech, and R. Luebke. Suppression of antigen-specific antibody responses in mice exposed to perfluorooctanoic acid: Role of PPARalpha and T- and B-cell targeting.   JOURNAL OF IMMUNOTOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 13(1): 38-45, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-z61s-75",
      "keyword": [
        "perfluorooctanoic acid",
        "peroxisome proliferator activated receptor alpha",
        "immunotoxicity"
      ],
      "contactPoint": {
        "fn": "Robert Luebke",
        "hasEmail": "mailto:luebke.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOA-21 phenotype support data sciehub.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/75/PFOA-21%20phenotype%20support%20data%20sciehub.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFOA-17 data for scihub.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/75/PFOA-17%20data%20for%20scihub.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Age- and Brain Region-Specific Differences in Mitochondrial Bioenergetics in Brown Norway Rats  ",
      "description": "Differences in various mitochondrial bioenergetics parameters in different brain regions in different age groups. \n\nThis dataset is associated with the following publication:\nPandya, J.D., J. Royland , R.C. McPhail, P.G. Sullivan, and P. Kodavanti. Age-and Brain Region-Specific Differences in Mitochondrial Bioenergetics in Brown Norway Rats.   NEUROBIOLOGY OF AGING. Elsevier Science Ltd, New York, NY, USA, 42: 25-34, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8671-108",
      "keyword": [
        "Aging",
        "Bioenergetics",
        "Enzyme activity",
        "Mitochondria",
        "Brain regions",
        "Rats",
        "Susceptibility"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Sciencehub-Brain-Enzyme-Seahorse data for Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/108/Sciencehub-Brain-Enzyme-Seahorse%20data%20for%20Stats.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simkin et al. 2016 PNAS data on herbaceous species richness and associated plot and covariate information",
      "description": "This dataset includes the geographic location (lat/lon) for 15,136 plots, as well as the herbaceous species richness, climate, soil pH, and other variables related to the plots. \n\nThis dataset is associated with the following publication:\nSimkin, S., C. Clark , W. Bowman, E. Allen, J. Belnap, and L. Pardo. Conditional vulnerability of plant diversity to atmospheric nitrogen deposition across the United States.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 113(15): 4086-4091, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-8czh-72",
      "keyword": [
        "nitrogen deposition",
        "biodiversity",
        "plant species richness",
        "soil pH",
        "climate",
        "critical loads"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "README.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/72/README.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Simkin_et_al_2016_data_from_PNAS_Div_and_N_dep.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/72/Simkin_et_al_2016_data_from_PNAS_Div_and_N_dep.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/72/documents/README.csv",
        "mediaType": "text/csv"
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      "accessRights": "public"
    },
    {
      "title": "LJFO00000000, LJFQ00000000, LJFT00000000, LJFU00000000, LJFX00000000, LJFY00000000",
      "description": "Draft genome sequences of six Mycobacterium immunogenum strains isolated from a chloraminated drinking water distribution system simulator subjected to changes in operational parameters. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Draft Genome Sequences of Six Mycobacterium immunogenum, Obtained from a Chloraminated Drinking Water Distribution System Simulator.   Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(1): e01538-15, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-2282-100",
      "keyword": [
        "drinking water",
        "genome",
        "chloramine",
        "sequences",
        "Mycobacterium"
      ],
      "contactPoint": {
        "fn": "Randy Revetta",
        "hasEmail": "mailto:revetta.randy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/genbank/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/genbank/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-01",
      "references": [
        "https://doi.org/10.1128/genomea.01538-15"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CHARACTERIZING EMISSIONS FROM OPEN BURNING OF MILITARY FOOD WASTE AND PACKAGING FROM FORWARD OPERATING BASES",
      "description": "Data for tables and figures. \n\nThis dataset is associated with the following publication:\nDominguez, T., J. Aurell, B. Gullett, R. Eninger, and D. Yamamoto. Characterizing emissions from open burning of military food\r\nwaste and ration packaging compositions.   Journal of Material Cycles and Waste Management. Springer Japan KK, Tokyo,  JAPAN, 20(2): 903-913, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390097",
      "keyword": [
        "military waste",
        "emissions",
        "packaging",
        "open burning",
        "MREs"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Dominguez MRE & FBD - Tables & Figures Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390097/Data%20Table%20Dominguez%20MRE%20%26%20FBD%20-%20Tables%20%26%20Figures%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-02",
      "references": [
        "https://doi.org/10.1007/s10163-017-0652-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of NRDA emission data",
      "description": "Emissions data from open air oil burns. \n\nThis dataset is associated with the following publication:\nGullett, B., J. Aurell, A. Holder, B. Mitchell, D. Greenwell, M. Hays, R. Conmy, D. Tabor, W. Preston, I. George, J. Abrahamson, R. Vander Wal, and E. Holder. Characterization of Emissions and Residues from Simulations of the Deepwater Horizon Surface Oil Burns.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 117: 392-405, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-v9ss-131",
      "keyword": [
        "oil spill",
        "in situ burns",
        "emissions",
        "Deepwater Horizon"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Data Table Science Hub 06-07-2016 JA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/131/Copy%20of%20Data%20Table%20Science%20Hub%2006-07-2016%20JA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-08",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2017.01.083"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Total and methyl mercury, moisture, and porosity in Lake Michigan surficial sediment",
      "description": "Total and methyl mercury, moisture content (%), and porosity were measured in Lake Michigan sediment by the U.S. Environmental Protection Agency/Office of Research and Development/National Health and Environmental Effects Research Laboratory/Mid-Continent Ecology Division/Large Lakes Research Station, Grosse Ile, MI. Both core and Ponar grab samples were collected. The samples were collected from 1994 through 1996. These mercury data were used in the LM2-Mercury model. \n\nThis dataset is associated with the following publication:\nZhang, X., K. Rygwelski , M. Rowe, R. Rossmann, and R. Kreis. Global and regional contributions to total mercury concentrations in Lake Michigan water.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 62-69, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-kps6-25",
      "keyword": [
        "total mercury",
        "methyl mercury",
        "sediments",
        "porosity",
        "percent moisture",
        "Lake Michigan"
      ],
      "contactPoint": {
        "fn": "Kenneth Rygwelski",
        "hasEmail": "mailto:rygwelski.kenneth@epa.gov"
      },
      "distribution": [
        {
          "title": "Hg Lake MI surficial sediments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/25/Hg%20Lake%20MI%20surficial%20sediments.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2009-11-05",
      "references": [
        "https://doi.org/10.1016/j.jglr.2015.10.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "St. Louis River Estuary 2011 - 2013 Faucet snail location data",
      "description": "The dataset consists of GPS coordinates for benthic invertebrate collections made in the St. Louis River Estuary in 2011 through 2013, and information on whether and how many faucet snail individuals were found. \n\nThis dataset is associated with the following publication:\nTrebitz , A., G. Shepard, V. Brady, and K. Schmude. The non-native faucet snail (Bithynia tentaculata) makes the leap to Lake Superior.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 41(4): 1197-1200, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-5hqh-27",
      "keyword": [
        "faucet snail",
        "Bithynia tentaculata",
        "St. Louis River estuary",
        "Great Lakes",
        "Aquatic invasive species",
        "sampling design",
        "DNA technology"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "FaucetSnailJGLR2015pub_ScienceHub_DataMetadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/27/FaucetSnailJGLR2015pub_ScienceHub_DataMetadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-22",
      "references": [
        "https://doi.org/10.1016/j.jglr.2015.09.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead mineral types identified in control and treated Garden and City Lot soil using X-ray absorption fine structure spectroscopy",
      "description": "Table listing the location, amendment type, distribution (percentage) of lead phases identified, and fitting error (R-factor). BM=bone meal, FB=fish bone, DAP=diammonium phosphate, MAP=monoammonium phosphate, TSP=triple super phosphate, PL=poultry litter. \n\nThis dataset is associated with the following publication:\nObrycki, J., N. Basta, K. Scheckel , B. Stevens, and K. Minca. Phosphorus Amendment Efficacy for In Situ Remediation of Soil Lead Depends on the Bioaccessible Method.  Elizabeth Guertal, David Myroid, and C. Wayne Smith  JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 45(1): 37-44, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-15dw-47",
      "keyword": [
        "lead speciation",
        "phosphate amendments",
        "in vitro bioaccessibility",
        "lead contaminated soil"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table5.JEQ2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/47/Table5.JEQ2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-03",
      "references": [
        "https://doi.org/10.2134/jeq2015.05.0244"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linear combination fitting data",
      "description": "The dataset shows the weighted percentage of arsenic speciation for untreated and treated soil samples with amendments designed to immobilize arsenic in soils. \n\nThis dataset is associated with the following publication:\nMele, E., E. Donner, A. Juhasz, G. Brunetti, E. Smith, A. Betts , P. Castaldi, S. Deiana, K. Scheckel , and E. Lombi. In situ fixation of metal(loid)s in contaminated soils: a comparison of conventional, by product and engineered soil amendments.  David L. Sedlak  ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49: 13501-13509, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-r4z2-76",
      "keyword": [
        "synchrotron speciation",
        "arsenic",
        "soil amendments",
        "lead",
        "soil",
        "immobilization",
        "waste reuse"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 3 Mele etal.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/76/Table%203%20Mele%20etal.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-15",
      "references": [
        "https://doi.org/10.1021/acs.est.5b01356"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Synchrotron speciation data for zero-valent iron nanoparticles: Linear combination fitting table(#6) and figure(#9), and extended x-ray absorption fine structure figure(#10) and table(#7)",
      "description": "This data set encompasses a complete analysis of synchrotron speciation data for 5 iron nanoparticle samples (P1, P2, P3, S1, S2, and metallic iron) to include linear combination fitting results (Table 6 and Figure 9) and ab-initio extended x-ray absorption fine structure spectroscopy fitting (Figure 10 and Table 7).\nTable 6: Linear combination fitting of the XAS data for the 5 commercial nZVI/ZVI products tested. Species proportions are presented as percentages. Goodness of fit is indicated by the chi^2 value.\nFigure 9: Normalised Fe K-edge k3-weighted EXAFS of the 5 commercial nZVI/ZVI\nproducts tested. Dotted lines show the best 4-component linear combination fit of\nreference spectra.\nFigure 10: Fourier transformed radial distribution functions (RDFs) of the five samples\nand an iron metal foil. The black lines in Fig. 10 represent the sample data and the red\ndotted curves represent the non-linear fitting results of the EXAFS data.\nTable 7: Coordination parameters of Fe in the samples. \n\nThis dataset is associated with the following publication:\nChekli, L., B. Bayatsarmadi, R. Sekine, B. Sarkar, A. Maoz Shen, K. Scheckel , W. Skinner, R. Naidu, H. Shon, E. Lombi, and E. Donner. Analytical Characterisation of Nanoscale Zero-Valent Iron: A Methodological Review.  Richard P. Baldwin  ANALYTICA CHIMICA ACTA. Elsevier Science Ltd, New York, NY, USA, 903: 13-35, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-z8x1-50",
      "keyword": [
        "synchrotron speciation",
        "zero-valent iron nanoparticles",
        "characterization techniques",
        "nanoparticle remediation",
        "surface chemistry",
        "particle size"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "ChekliData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/50/ChekliData.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-01",
      "references": [
        "https://doi.org/10.1016/j.aca.2015.10.040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecohydrology_GoldenHeaher_Data_052316",
      "description": "Table of data used for statistical analyses. \n\nThis dataset is associated with the following publication:\nGolden , H., H. Sander, C. Lane , C. Zhao, K. Price, E. D'Amico, and J. Christensen. Relative effects of geographically isolated wetlands on streamflow: a watershed-scale analysis.   ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 9(1): 21-38, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-jdg2-77",
      "keyword": [
        "streamflow",
        "wetlands",
        "Watershed",
        "model"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "GoldenHeather_A-jdg2_SDMP_Data_20160523.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/77/GoldenHeather_A-jdg2_SDMP_Data_20160523.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-05-01",
      "references": [
        "https://doi.org/10.1002/eco.1608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields",
      "description": "This dataset supports the modeling study of Seltzer et al. (2016) published in Atmospheric Environment. In this study, techniques typically used for future air quality projections are applied to a historical 11-year period to assess the performance of the modeling system when the driving meteorological conditions are obtained using dynamical downscaling of coarse-scale fields without correcting toward higher resolution observations. The Weather Research and Forecasting model and the Community Multiscale Air Quality model are used to simulate regional climate and air quality over the contiguous United States for 2000-2010. The air quality simulations for that historical period are then compared to observations from four national networks. Comparisons are drawn between defined performance metrics and other published modeling results for predicted ozone, fine particulate matter, and speciated fine particulate matter. The results indicate that the historical air quality simulations driven by dynamically downscaled meteorology are typically within defined modeling performance benchmarks and are consistent with results from other published modeling studies using finer-resolution meteorology. This indicates that the regional climate and air quality modeling framework utilized here does not introduce substantial bias, which provides confidence in the method’s use for future air quality projections. \n\nThis dataset is associated with the following publication:\nSeltzer, K., C. Nolte, T. Spero, W. Appel, and J. Xing. Evaluation of near surface ozone and particulate matter in air quality simulations driven by dynamically downscaled historical meteorological fields.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 138: 42-54, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-37pz-84",
      "keyword": [
        "model evaluation",
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Seltzer_2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/84/Seltzer_2016.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-26",
      "references": [
        "http://www.sciencedirect.com/science/journal/aip/13522310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Kelly et al. (2016): Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter",
      "description": "In this study, modeled gas- and aerosol phase ammonia, nitric acid, and hydrogen chloride are compared to measurements taken during a field campaign conducted in northern Colorado in February and March 2011.  We compare the modeled and observed gas-particle partitioning, and assess potential reasons for discrepancies between the model and measurements.  This data set contains scripts and data used for each figure in the associated manuscript.  Figures are generated using the R project statistical programming language. Data files are in either comma-separated value (CSV) format or netCDF, a standard self-describing binary data format commonly used in the earth and atmospheric sciences. \n\nThis dataset is associated with the following publication:\nKelly , J., K. Baker , C. Nolte, S. Napelenok , W.C. Keene, and A.A.P. Pszenny. Simulating the phase partitioning of NH3, HNO3, and HCl with size-resolved particles over northern Colorado in winter.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 131: 67-77, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-r7t9-152",
      "keyword": [
        "aerosol size distributions",
        "source apportionment",
        "NACHTT",
        "air quality",
        "CMAQ",
        "WRF",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Kelly_et_al_2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/152/Kelly_et_al_2016.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-02",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.01.049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Outdoor air quality impacts data for USGCRP Climate and Health Assessment",
      "description": "Gridded values of daily maximum temperature and ozone levels simulated over the continental U.S. using year-2000 and year-2030 climatic conditions as represented by two different global climate models and greenhouse gas forcing scenarios. \n\nThis dataset is associated with the following publication:\nFann , N., C. Nolte , P. Dolwick , T. Spero , A. CurryBrown , S. Phillips , and S. Anenberg. The Geographic Distribution and Economic Value of Climate Change-Related Ozone Health Impacts in the United States in 2030.   JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 65(5): 570-580, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-37pz-160",
      "keyword": [
        "USGCRP",
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "USGCRP_CHA_CH3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/160/USGCRP_CHA_CH3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Figures and Tables in Journal Article \"Assessment of the Effects of Horizontal Grid Resolution on Long-Term Air Quality Trends using Coupled WRF-CMAQ Simulations\", doi:10.1016/j.atmosenv.2016.02.036",
      "description": "The dataset represents the data depicted in the Figures and Tables of a Journal Manuscript with the following abstract: \"The objective of this study is to determine the adequacy of using a relatively coarse horizontal resolution (i.e. 36 km) to simulate long-term trends of pollutant concentrations and radiation variables with the coupled WRF-CMAQ model. WRF-CMAQ simulations over the continental United State are performed over the 2001 to 2010 time period at two different horizontal resolutions of 12 and 36 km. Both simulations used the same emission inventory and model configurations. Model results are compared both in space and time to assess the potential weaknesses and strengths of using coarse resolution in long-term air quality applications. The results show that the 36 km and 12 km simulations are comparable in terms of trends analysis for both pollutant concentrations and radiation variables. The advantage of using the coarser 36 km resolution is a significant reduction of computational cost, time and storage requirement which are key considerations when performing multiple years of simulations for trend analysis. However, if such simulations are to be used for local air quality analysis, finer horizontal resolution may be beneficial since it can provide information on local gradients. In particular, divergences between the two simulations are noticeable in urban, complex terrain and coastal regions.\". \n\nThis dataset is associated with the following publication:\nGan , M., C. Hogrefe , R. Mathur , J. Pleim , J. Xing , D. Wong , R. Gilliam , G. Pouliot , and C. Wei. Assessment of the effects of horizontal grid resolution on long-term air quality trends using coupled WRF-CMAQ simulations.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 132: 207-216, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-f4r3-169",
      "keyword": [
        "horizontal grid resolution",
        "air quality application",
        "model evaluation",
        "WRF/CMAQ",
        "computational cost"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "DataTables2And3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/169/DataTables2And3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Figure1Figure2Figure7.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/169/Data_Figure1Figure2Figure7.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Figures3Through6.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/169/Data_Figures3Through6.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-08",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.02.036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/169/documents/DataDictionary_HeadersFigures3Through6.zip",
        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Geographically isolated wetlands and watershed hydrology: A modified",
      "description": "Data for \"An improved representation of geographically isolated wetlands in a watershed-scale hydrologic model\". \n\nThis dataset is associated with the following publication:\nEvenson, G., H. Golden, C. Lane, and E. D'Amico. An improved representation of geographically isolated wetlands in a watershed-scale hydrologic model.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  online, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-tdzn-190",
      "keyword": [
        "Watershed",
        "wetlands",
        "geographically isolated wetlands;",
        "modeling",
        "hydrology",
        "downstream effects"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Evensonetal2016HPScienceHubSubmission.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/190/Evensonetal2016HPScienceHubSubmission.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-30",
      "references": [
        "https://doi.org/10.1002/hyp.10930"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling the current and future roles of particulate organic nitrates in the southeastern US",
      "description": "Links point to the NOAA data archive of observational data and the supplement of the article which this data supports. No model data was uploaded due to its size. All updates to CMAQ used in this work are available in the public release of CMAQv5.1 (available through github or the CMAS Center). \n\nThis dataset is associated with the following publication:\nPye , H., D. Luecken , L. Xu, C.M. Boyd, N.L. Ng, K. Baker , B.R. Ayres, J. Bash , K. Baumann, W.P.L. Carter, E. Edgerton, J.L. Fry, B. Hutzell , D. Schwede , and P.B. Shepson. Modeling the current and future role of particulate organic nitrates in the southeastern United States.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 49(24): 14195-14203, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-12jn-194",
      "keyword": [
        "SOA",
        "SOAS",
        "Aerosol",
        "organic nitrate",
        "monoterpenes",
        "NOx",
        "nitrate",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.5b03738",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.5b03738",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://www.esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-02",
      "references": [
        "https://github.com/CMASCenter/CMAQ/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CalNex Observational Data",
      "description": "Observations made during the 2010 CalNex measurement campaign. \n\nThis dataset is associated with the following publication:\nWoody , M., K. Baker , P. Hayes, J. Jimenez, B. Koo, and H. Pye. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16: 4081-4100, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-dz0m-197",
      "keyword": [
        "CalNex",
        "CMAQ",
        "volatility basis set",
        "organic aerosols"
      ],
      "contactPoint": {
        "fn": "Matthew Woody",
        "hasEmail": "mailto:woody.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2010calnex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2010calnex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-11-20",
      "references": [
        "https://doi.org/10.5194/acp-16-4081-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ Model Output",
      "description": "CMAQ and CMAQ-VBS model output. This dataset is not publicly accessible because: Files too large. It can be accessed through the following means: via EPA's NCC tape archive system (ASM) or by contacting the PI. Format: netCDF CMAQ model output. \n\nThis dataset is associated with the following publication:\nWoody , M., K. Baker , P. Hayes, J. Jimenez, B. Koo, and H. Pye. Understanding sources of organic aerosol during CalNex-2010 using the CMAQ-VBS.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16: 4081-4100, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-dz0m-198",
      "keyword": [
        "CMAQ",
        "volatility basis set",
        "organic aerosols",
        "CalNex"
      ],
      "contactPoint": {
        "fn": "Matthew Woody",
        "hasEmail": "mailto:woody.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2015-09-14",
      "references": [
        "https://doi.org/10.5194/acp-16-4081-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CESM Lakes Supplement",
      "description": "This is a README file to indicate the locations of codes, data sets, and other supporting materials. \n\nThis dataset is associated with the following publication:\nSpero , T., C. Nolte , J.H. Bowden, M.S. Mallard, and J. Herwehe. The Impact of Incongruous Lake Temperatures on Regional Climate Extremes Downscaled from the CMIP5 Archive Using the WRF Model.   Journal of Climate. American Meteorological Society, Boston, MA, USA, 29(2): 839-853, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-31zg-205",
      "keyword": [
        "README",
        "regional climate modeling",
        "WRF",
        "CMIP5",
        "dynamical downscaling"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub supplement.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/205/ScienceHub%20supplement.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-17",
      "references": [
        "https://doi.org/10.1175/jcli-d-15-0233.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systemic Metabolic Derangement, Pulmonary Effects, and Insulin Insufficiency Following Subchronic Ozone Exposure in Rats",
      "description": "This data set includes individual animal data collected for various biological endpoints that are included in the manuscript.\nMiller DB, Snow SJ, Henriquez A, Schladweiler MC, Ledbetter AD, Richards JE, Andrews DL, Kodavanti UP. Systemic metabolic derangement, pulmonary effects, and insulin insufficiency following subchronic ozone exposure in rats. Toxicol Appl Pharmacol. 2016 Jun 28;306:47-57. \nThe primary author Desinia Miller, an UNC-EPA co-opp Student has since completed her PhD and is no longer in EPA database. \n\nThis dataset is associated with the following publication:\nMiller, D., S. Snow, A. Henriquez, M. Schladweiler, A. Ledbetter, J. Richards, D. Andrews, and U. Kodavanti. Systemic Metabolic Derangement, Pulmonary Effects, and Insulin Insufficiency following subchronic ozone exposure in rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 306: 47-57, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-xktb-116",
      "keyword": [
        "Metabolism Ozone Stress Response Insulin Resistance Pancreatic Beta Cells",
        "Ozone",
        "Stress Response",
        "Metabolism",
        "Insulin Resistance",
        "Pancreatic Beta Cells"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Miller et al., 2016 TAAP -Ozone subchronic manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/116/Miller%20et%20al.%2C%202016%20TAAP%20-Ozone%20subchronic%20manuscript.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-28",
      "references": [
        "https://doi.org/10.1016/j.taap.2016.06.027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Large Drought-induced Variations in Oak Leaf Volatile Organic Compound Emissions during PINOT NOIR 2012",
      "description": "Leaf level oak isoprene emissions and co2/H2O exchange in the Ozarks, USA\n\nBAGeron.csv is the speciated biomass displayed in Figure 1.\n\nBiomass Dry Weights.xlsx is used to convert leaf area to dry leaf biomass and is used in Figure 2.\n\nDaly Ozarks leaf ISOP.txt and MOFLUX_Isoprene Summary_refined Tcurve data.xlsx are the leaf isoprene emission rate files shown in Figure 2.\n\nHarley Aug12_Chris.xls is the leaf isoprene emission rate file shown in Figure  3.\n\n\nDaly Ozarks leaf.txt is the BVOC emissions file used for Figure 7 and Table 4.\n\nDrought IS.txt is the review data given in Table 2.\n\nFig4 Aug10 2012 Harley.txt is shown in Figure 4.\n\nFig 5 Aug14 2012 Harley.txt is shown in Figure 5.\n\nDaly Ozarks Leaf.txt is used in Fig 7.\n\nDrought IS.txt is used in Fig 8. \n\nThis dataset is associated with the following publication:\nGeron , C., R. Daly , P. Harley, R. Rasmussen, R. Seco, A. Guenther, T. Karl, and L. Gu. Large Drought-Induced Variations in Oak Leaf Volatile Organic Compound Emissions during PINOT NOIR 2012.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 146: 8-21, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-7sr2-91",
      "keyword": [
        "isoprene",
        "Monoterpene",
        "Quercus",
        "monoterpenes",
        "drought",
        "Ozarks",
        "biogenic emissions",
        "MEGAN"
      ],
      "contactPoint": {
        "fn": "Christopher Geron",
        "hasEmail": "mailto:geron.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "BAGeron.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/BAGeron.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biomass Dry Weights.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Biomass%20Dry%20Weights.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Daly Ozarks leaf ISOP.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Daly%20Ozarks%20leaf%20ISOP.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Daly Ozarks leaf.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Daly%20Ozarks%20leaf.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Drought IS.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Drought%20IS.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4 Aug10 2012 Harley.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Fig4%20Aug10%202012%20Harley.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 5 Aug14 2012 Harley.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Fig%205%20Aug14%202012%20Harley.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MOFLUX_Isoprene Summary_refined Tcurve data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/MOFLUX_Isoprene%20Summary_refined%20Tcurve%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Harley Aug12_Chris.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/91/Harley%20Aug12_Chris.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2015.11.086",
        "https://pasteur.epa.gov/uploads/91/documents/Geron%20et%20al%202016%20Chemosphere.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Xing_et_al_JGR2015",
      "description": "The data sets are outputs from the WRF-CMAQ modeling system. Typically these files contain a number of meteorological and atmospheric pollutant concentrations on a model grid which is either 2- or 3-dimensional and also in some instances vary with time. \n\nThis dataset is associated with the following publication:\nXing, J., R. Mathur , J. Pleim , C. Hogrefe , C. Gan, D. Wong , C. Wei, and J. Wang. Air pollution and climate response to aerosol direct radiative effects: A modeling study of decadal trends across the northern hemisphere.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(33): 12221-12236, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-pc8q-201",
      "keyword": [
        ": aerosol direct radiative effect",
        "WRF-CMAQ",
        "feedback",
        "trend",
        "AOD",
        "northern hemisphere",
        "aerosol direct radiatiative effects",
        "Hemispheric CMAQ"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "Xing_JGR_data_document_updated.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/201/Xing_JGR_data_document_updated.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-17",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1002/2015JD023933/full"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data summary of all endpoints measured",
      "description": "qPCR results for Vitellogenin. \n\nThis dataset is associated with the following publication:\nArmstrong, B., J. Lazorchak , K. Jensen , H. Haring , M.E. Smith, R. Flick , D. Bencic , and A. Biales. Reproductive effects in fathead minnows (Pimphales promelas) following a 21 d exposure to 17α-ethinylestradiol.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 144(1): 366-373, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-crjq-215",
      "keyword": [
        "Ethinylestradiol",
        "Reproductive effects",
        "Fathead minnows",
        "Vitellogenin Gene and Protein"
      ],
      "contactPoint": {
        "fn": "James Lazorchak",
        "hasEmail": "mailto:lazorchak.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "9-05Expression Results.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/215/9-05Expression%20Results.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "9-05_EE2_032409.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/215/9-05_EE2_032409.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of 9-05_EE2_032409.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/215/Copy%20of%209-05_EE2_032409.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EE2 Chemtry results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/215/EE2%20Chemtry%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tropospheric Emission Spectrometer (TES) Satellite Validations of Ammonia, Methanol, Formic Acid, and Carbon Monoxide over the Canadian Oil Sands ",
      "description": "The URLs link to the data archive of the Troposphere Emission Spectrometer (TES) retrievals. These include the transects included in the Canadian Tar Sands study. A brief description of TES is listed below. \n\nTES is a spectrometer that measures the infrared-light energy (radiance) emitted by Earth's surface and by gases and particles in Earth's atmosphere. Every substance warmer than absolute zero emits infrared radiation at certain signature wavelengths. Spectrometers measure this radiation as a means of identifying the substances.\n\nTES has very high spectral resolution, which gives it the ability to pinpoint the wavelengths at which the substances are emitting. This enables precise identification of the substances, and also provides information about their location in the atmosphere. Emission wavelengths can vary with temperature and pressure, so seeing the emissions with great precision enables scientists to infer the temperature and pressure of the chemicals from which they came. This, in turn, implies that the chemicals being observed are at a certain altitude where those temperatures and pressures apply. The ability to determine the altitude of the observed chemicals enables TES to distinguish radiation from the upper and lower atmosphere, and focus on the lower layer - the troposphere.\n\nSince it observes light in the infrared range of the electromagnetic spectrum, similar to night-vision goggles, TES can observe both day and night. Its spectral range overlaps that of HIRDLS, another of the instruments aboard the Aura satellite. So, in addition to its work in the troposphere, TES can supplement HIRDLS measurements of chemicals in the stratosphere that are common to both instruments, as well as help scientists measure additional constituents of the stratosphere. \n\nThis dataset is associated with the following publication:\nShephard, , M.W., C. McLinden, K.E. Cady-Pereira, M. Luo, S.G. Moussa, A. Leithead, J. Liggio, R.M. Staebler, A. Akingunola, P. Makar, P. Lehr, J. Zhang, D.K. Henze, D.B. Millet, J. Bash , L. Zhu, K.C. Wells, S.L. Capps, S. Chaliyakunnel, M. Gordon, K. Hayden, J.R. Brook, M. Wolde, and S. Li. Tropospheric Emission Spectrometer (TES) satellite observations of ammonia, methanol, formic acid, and carbon monoxide over the Canadian oil sands: validation and model evaluation.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 8: 5189-5211, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-9326-219",
      "keyword": [
        "NH3 Emissions",
        "Nitrogen Cycle",
        "Satellite Air Quality",
        "Air Quality Model",
        "Sensors"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://eosweb.larc.nasa.gov/project/tes/tes_table",
          "accessURL": "https://eosweb.larc.nasa.gov/project/tes/tes_table",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://asdc.larc.nasa.gov/project/TES?level=2",
          "accessURL": "https://asdc.larc.nasa.gov/project/TES?level=2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Toxicokinetics of PFOS in rainbow trout",
      "description": "This ScienceHub entry was developed for the published paper:  Consoer et al., 2016, Toxicokinetics of perfluorooctane sulfonate in rainow trout (Oncorhynchus mykiss), Environ. Toxicol. Chem. 35:717-727.  Individual rainbow trout were exposed to PFOS by bolus injection (elimination studies) or by adding PFOS to incoming water (branchial uptake studies).  The trout were fitted with indwelling catheters and urinary cannulae to permit periodic collection of blood and urine.  Additional sampling was conducted to evaluate PFOS uptake from and elimination to respired water.  Data obtained from each fish was evaluated using a clearance-volume pharmacokinetic model.  Modeled kinetic parameters were then averaged to develop summary statistics which were used as a basis for interpreting modeled results and making comparisons to a previous study of rainbow trout exposed to perfluorooctanoate (PFOA; Consoer et al., 2014, Aquat. Toxicol. 156:65-73).  The results of this study, combined with that of the previous PFOA study, suggest that PFOA is a substrate for renal transporters in fish while glomerular filtration alone may be sufficient to explain the observed renal elimination of PFOS.  These findings demonstrate that models developed to predict the bioaccumulation of perfluoroalkyl acids by fish must account for differences in renal clearance of individual compounds. \n\nThis dataset is associated with the following publication:\nConsoer, D., A. Hoffman , P. Fitzsimmons , P. Kosian , and J. Nichols. Toxicokinetics of perfluorooctane sulfonate in rainbow trout (Oncorhynchus mykiss).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(3): 717-727, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-qc04-240",
      "keyword": [
        "perfluorooctane sulfonate",
        "renal elimination",
        "fish",
        "bioaccumulation",
        "toxicokinetics",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Consoer et al._Sciencehub entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/240/Consoer%20et%20al._Sciencehub%20entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-25",
      "references": [
        "https://doi.org/10.1002/etc.3230"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Macroinvertebrate and organic matter export from headwater tributaries of a Central Appalachian stream",
      "description": "The dataset contains physicochemical and biological data from 12 headwater tributaries of Clemons Fork in Robinson Forest, KY. \n\nThis dataset is associated with the following publication:\nPond , G., K. Fritz , and B. Johnson. Macroinvertebrate and organic matter export from headwater tributaries of a Central Appalachian stream.   HYDROBIOLOGIA. Springer, New York, NY, USA,  1-17, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-5tb7-233",
      "keyword": [
        "headwater streams",
        "drift",
        "Central Appalachian Mountains",
        "aquatic insects",
        "dispersal"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Drift data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/233/Drift%20data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-24",
      "references": [
        "https://doi.org/10.1007/s10750-016-2800-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/233/documents/data%20dictionary%20for%20Hydrobiologia%20779_75-91.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Added Value via SPI supplement",
      "description": "Supplement that indicates where to find the source data sets on the EPA system. \n\nThis dataset is associated with the following publication:\nBowden, J., K.D. Talgo, T. Spero , and C. Nolte. Assessing the Added Value of Dynamical Downscaling Using the Standardized Precipitation Index.   ADVANCES IN METEOROLOGY. Hindawi Publishing Corporation, New York, NY, USA, 2016(8432064): 14 pages, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-zw4g-245",
      "keyword": [
        "supplement",
        "regional climate modeling",
        "dynamical downscaling",
        "WRF",
        "SPI"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub supplement.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/245/ScienceHub%20supplement.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-26",
      "references": [
        "https://doi.org/10.1155/2016/8432064"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CESM Lakes Monthly",
      "description": "This dataset contains monthly aggregates of 2D near-surface fields from the WRF model simulations labeled \"default\" (using WRF default approach to setting lake surface temperatures for downscaling) and \"clmlst\" (which uses lake surface temperatures from CLM to supplement those provided with CMIP5 archive of CESM). \n\nThis dataset is associated with the following publication:\nSpero , T., C. Nolte , J.H. Bowden, M.S. Mallard, and J. Herwehe. The Impact of Incongruous Lake Temperatures on Regional Climate Extremes Downscaled from the CMIP5 Archive Using the WRF Model.   Journal of Climate. American Meteorological Society, Boston, MA, USA, 29(2): 839-853, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-31zg-223",
      "keyword": [
        "monthly",
        "regional climate modeling",
        "WRF",
        "CMIP5",
        "dynamical downscaling"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "default.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/223/default.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "clmlst.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/223/clmlst.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-12-23",
      "references": [
        "https://doi.org/10.1175/jcli-d-15-0233.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations-BDW-1",
      "description": "This data set is associated with the results found in the journal article: Perry et al, 2016. Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations, Atmospheric Environment, 142, 286-295.\r\nThe paper presents a wind tunnel study of the effects of elongated rectangular buildings on the dispersion of pollutants from nearby stacks. The study examines the influence of source location, building aspect ratio, and wind direction on pollutant dispersion with the goal of developing improved algorithms within dispersion models. The paper also examines the current AERMOD/PRIME modeling capabilities compared to wind tunnel observations.  Differences in the amount of plume material entrained in the wake region downwind of a building for various source locations and source heights are illustrated with vertical and lateral concentration profiles. These profiles were parameterized using the Gaussian equation and show the influence of building/source configurations on those parameters. When the building is oriented at 45° to the approach flow, for example, the effective plume height descends more rapidly than it does for a perpendicular building, enhancing the resulting surface concentrations in the wake region. Buildings at angles to the wind cause a cross-wind shift in the location of the plume resulting from a lateral mean flow established in the building wake. These and other effects that are not well represented in many dispersion models are important considerations when developing improved algorithms to estimate the location and magnitude of concentrations downwind of elongated buildings. \n\nThis dataset is associated with the following publication:\nPerry , S., D. Heist , L. Brouwer, E. Monbureau, and L. Brixey. Characterization of pollutant dispersion near elongated buildings based on wind tunnel simulations.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 142: 286-295, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-d51p-171",
      "keyword": [
        "wind tunnel",
        "dispersion modeling",
        "building downwash"
      ],
      "contactPoint": {
        "fn": "Steven Perry",
        "hasEmail": "mailto:perry.steven@epa.gov"
      },
      "distribution": [
        {
          "title": "Perry A-d51p-DatafilesBDW-1-20160805.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/171/Perry%20A-d51p-DatafilesBDW-1-20160805.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-05",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S1352231016305829"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/171/documents/Perry%20A-d51p-DataDictionaryBDW-1-20160805.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data used to generate tables and figures in Holder et al. (2016) Journal of Geophsyical Research: Atmospheres 121, doi:10.1002/2015JD024321",
      "description": "This dataset provides all data used to generate the figures and tables in the article entitled \"Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States\" published in the Journal of Geophysical Research: Atmospheres. \n\nThis dataset is associated with the following publication:\nHolder , A., G. Hagler , J. Aurell, M. Hays , and B. Gullett. Particulate matter and black carbon optical properties and emission factors from prescribed fires in the southeastern United States.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(7): 3465-3483, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-mgr4-234",
      "keyword": [
        "biomass burning",
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "JGR2016 Data Tables and Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/234/JGR2016%20Data%20Tables%20and%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-10",
      "references": [
        "https://doi.org/10.1002/2015jd024321"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure_2_data",
      "description": "Data for Figure 2. \n\nThis dataset is associated with the following publication:\nSarwar, G., D. Kang, K. Foley, D. Schwede, B. Gantt, and R. Mathur. Technical note: Examining ozone deposition over seawater.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 255–262, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-44j4-229",
      "keyword": [
        "iodide",
        "dimethylsulfide",
        "dissolved organic carbon",
        "Ozone",
        "deposition"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_2_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/229/Figure_2_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-23",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.06.072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phylogeny and Species Diversity of Gulf of California Oysters",
      "description": "Dataset of DNA sequence data from two mitochondrial loci (COI and 16S) used to infer the phylogeny of oysters in the genus Ostrea along the Pacific coast of North America. This dataset is not publicly accessible because: It's already publicaly available. It can be accessed through the following means: GenBank/NCBI (http://www.ncbi.nlm.nih.gov/). Accession numbers KT317088-KT317610. Format: This dataset is DNA sequence data. It is available in GenBank. Accession numbers KT317088-KT317610. \n\nThis dataset is associated with the following publication:\nRaith, M., D. Zacherl, E. Pilgrim , and D. Eernisse. Phylogeny and species diversity of Gulf of California oysters (Ostreidae) inferred from mitochondrial DNA.   American Malacological Bulletin. American Malacological Society, Arlington, VA, USA, 33(2): 263-283, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-0vt5-251",
      "keyword": [
        "DNA Barcoding",
        "Ostrea",
        "Oyster",
        "Aquatic invasive species",
        "marcroinvertebrates"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [],
      "modified": "2016-01-15",
      "references": [
        "https://doi.org/10.4003/006.033.0206"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CES_EHP_Figure_2",
      "description": "The increasing number of chemicals for which SHEDS probabilistic exposure assessment has been performed over the years. \n\nThis dataset is associated with the following publication:\nEgeghy , P., L. Sheldon, K. Isaacs , H. Ozkaynak, M. Goldsmith, J. Wambaugh , R. Judson , and T. Buckley. Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124(6): 697–702, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-mgr5-248",
      "keyword": [
        "ExpoCast",
        "Exposure modeling",
        "Exposure Assessment",
        "Informatics",
        "SHEDS",
        "Computational exposure"
      ],
      "contactPoint": {
        "fn": "Peter Egeghy",
        "hasEmail": "mailto:egeghy.peter@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-010901_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/248/ORD-010901_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-28",
      "references": [
        "https://doi.org/10.1289/ehp.1509748"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Kanawha River Basin Sediment Data",
      "description": "This data set contains sediment size data collected at research sites using a Wolman Pebble Count method. \n\nThis dataset is associated with the following publication:\nCollins , S., M. Thoms, and J. Flotemersch. Hydrogeomorphic zones characterize riverbed sediment patterns within a river network.   River Systems. E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart,  GERMANY, 21(4): 203-213, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-3bk6-252",
      "keyword": [
        "sediment count",
        "Hydrogeomorphic characterization",
        "river type",
        "functional process zones"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "Kanawha River Basin Sediment Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/252/Kanawha%20River%20Basin%20Sediment%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-15",
      "references": [
        "https://doi.org/10.1127/1868-5749/2014/0084"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/252/documents/Data%20Dictionary%20for%20Collins%20Kanawha%20Sediment%20manuscript.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Decontamination Data - Blister Agents",
      "description": "Decontamination efficacy data for blister agents on various building materials using various decontamination solutions. \n\nThis dataset is associated with the following publication:\nStone, H., D. See, A. Smiley, A. Ellingson, J. Schimmoeller, and L. Oudejans. Surface Decontamination of Blister Agents Lewisite, Sulfur Mustard and Agent Yellow, a Lewisite and Sulfur Mustard Mixture.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA,  1-5, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-mkmc-4",
      "keyword": [
        "Decontamination",
        "blister agents",
        "lewisite",
        "sulfur mustard",
        "agent yellow",
        "chemical warfare agents",
        "efficacy"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Summary Data for Statistical Analysis 082216_clean.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/4/Summary%20Data%20for%20Statistical%20Analysis%20082216_clean.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANOVA Input and Results Combined.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/4/ANOVA%20Input%20and%20Results%20Combined.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of the Efficacy of Methyl Bromide in the Decontamination of Building and Interior Materials Contaminated with Bacillus anthracis Spores",
      "description": "Spreadsheets containing data for recovery of spores from different materials.  Data on the fumigation parameters are also included. \n\nThis dataset is associated with the following publication:\nWood , J., M. Wendling, W. Richter, A. Lastivka, and L. Mickelsen. Evaluation of the Efficacy of Methyl Bromide in the Decontamination of Building and Interior Materials Contaminated with Bacillus anthracis Spores.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA,  1-28, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-hmh4-107",
      "keyword": [
        "Decontamination",
        "Bacillus anthracis",
        "methyl bromide"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "final data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/107/final%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-04-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/107/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Testing Contamination Source Identification Methods for Water Distribution Networks",
      "description": "This dataset includes the results of a simulation study using the source inversion techniques available in the Water Security Toolkit. The data was created to test the different techniques for accuracy, specificity, false positive rate, and false negative rate. The tests examined different parameters including measurement error, modeling error, injection characteristics, time horizon, network size, and sensor placement. The water distribution system network models that were used in the study are also included in the dataset. \n\nThis dataset is associated with the following publication:\nSeth, A., K. Klise, J. Siirola, T. Haxton , and C. Laird. Testing Contamination Source Identification Methods for Water Distribution Networks.   Journal of Environmental Division, Proceedings of American Society of Civil Engineers. American Society of Civil Engineers  (ASCE), Reston, VA, USA,  ., (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-pg4z-149",
      "keyword": [
        "accuracy",
        "specificity",
        "false positive rate",
        "false negative rate",
        "Drinking water distribution system",
        "Source identification",
        "Testing"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_A-pg4z_TestSourceInversion_Haxton_20160728.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/149/Dataset_A-pg4z_TestSourceInversion_Haxton_20160728.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-28",
      "references": [
        "https://doi.org/10.1061/(asce)wr.1943-5452.0000619"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genetic linkage map and comparative genome analysis for the estuarine Atlantic killifish (Fundulus heteroclitus)",
      "description": "Genetic linkage maps are valuable tools in evolutionary biology; however, their availability for wild populations is extremely limited. Fundulus heteroclitus (Atlantic killifish) is a non-migratory estuarine fish that exhibits high allelic and phenotypic diversity partitioned among subpopulations that reside in disparate environmental conditions. An ideal candidate model organism for studying gene-environment interactions, the molecular toolbox for F. heteroclitus is limited. We identified hundreds of novel microsatellites which, when combined with existing microsatellites and single nucleotide polymorphisms (SNPs), were used to construct the first genetic linkage map for this species. By integrating independent linkage maps from three genetic crosses, we developed a consensus map containing 24 linkage groups, consistent with the number of chromosomes reported for this species. These linkage groups span 2300 centimorgans (cM) of recombinant genomic space, intermediate in size relative to the current linkage maps for the teleosts, medaka and zebrafish. Comparisons between fish genomes support a high degree of synteny between the consensus F. heteroclitus linkage map and the medaka and (to a lesser extent) zebrafish physical genome assemblies. \n\nThis dataset is associated with the following publication:\nWaits , E., J. Martinson , B. Rinner, S. Morris, D. Proestou, D. Champlin , and D. Nacci. Genetic linkage map and comparative genome analysis for the estuarine Atlantic killifish (Fundulus heteroclitus).   Open Journal of Genetics. Scientific Research Publishing, Inc., Irvine, CA, USA, 6: 28-38, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-rn98-237",
      "keyword": [
        "Fundulus heteroclitus",
        "Genetic Linkage Map",
        "Synteny Analysis",
        "Microsatellite",
        "Single Nucleotide Polymorphism (SNP)"
      ],
      "contactPoint": {
        "fn": "Eric Waits",
        "hasEmail": "mailto:waits.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Waits et al Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/237/Waits%20et%20al%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-23",
      "references": [
        "https://doi.org/10.4236/ojgen.2016.61004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of improved land use data and canopy representation in BEIS with biogenic VOC measurements in California",
      "description": "The link provided access to all the datasets and metadata used in this manuscript for the model development and evaluation per Geoscientific Model Development's publication guidelines with the exception of the model output due to its size. \n\nThis dataset is associated with the following publication:\nBash , J., K. Baker , and M. Beaver. Evaluation of improved land use and canopy representation in BEIS v3.61 with biogenic VOC measurements in California.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 9: 2191-2207, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-n03b-256",
      "keyword": [
        "Biogenic VOC",
        "BEIS",
        "MEGAN",
        "isoprene"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.geosci-model-dev.net/9/2191/2016/gmd-9-2191-2016-assets.html",
          "accessURL": "https://www.geosci-model-dev.net/9/2191/2016/gmd-9-2191-2016-assets.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-16",
      "references": [
        "https://doi.org/10.5194/gmd-9-2191-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes",
      "description": "There is no EPA generated dataset in this study. This dataset is not publicly accessible because: No EPA generated datasets were used in this study. The sole EPA author assisted in the development of the model algorithms and writing portions of the manuscript. It can be accessed through the following means: Modeling and input data can be accessed by contacting the corresponding author of the paper: Daven Henze (daven.henze@colorado.edu)\r\n. Format: None. \n\nThis dataset is associated with the following publication:\nZhu, L., D. Henze, J. Bash , G. Jeong, K. Cady-Pereira, M. Shephard, M. Luo, F. Poulot, and S. Capps. Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15: 12823-12843, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-05qg-255",
      "keyword": [
        "NH3 Emissions",
        "Nitrogen Cycle",
        "Inverse Modeling",
        "Global Model"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [],
      "modified": "2015-11-24",
      "references": [
        "https://doi.org/10.5194/acp-15-12823-2015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DataSet for Passive Containment Journal Article",
      "description": "This data is for Figures 6 and 7 in the journal article.  The data also includes the two EPANET input files used for the analysis described in the paper, one for the looped system and one for the block system. \n\nThis dataset is associated with the following publication:\nGrayman, W., R. Murray , and D. Savic. Redesign of Water Distribution Systems for Passive Containment of Contamination.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 108(7): 381-391, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-rjf1-222",
      "keyword": [
        "EPANET",
        "containment",
        "homeland security",
        "water security",
        "water quality",
        "Contamination",
        "Drinking water distribution system",
        "modeling",
        "district meter areas"
      ],
      "contactPoint": {
        "fn": "Regan Murray",
        "hasEmail": "mailto:murray.regan@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures6and7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/222/Figures6and7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPANET_Input_Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/222/EPANET_Input_Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-01",
      "references": [
        "https://doi.org/10.5942/jawwa.2016.108.0105"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen Discharge due to Climate Change and Land Cover Change",
      "description": "Simulated model output for the figures in the associated publication. Data are SWAT model simulation results for different scenarios of land-use change and climate change (Temp and Precip, Carbon Dioxide). The results are for two simulated watersheds in the Neuse River basin in North Carolina, USA. These are the raw data used to develop the figures in the paper. \n\nThis dataset is associated with the following publication:\nGabriel , M., C. Knightes , E. Cooter , and R. Dennis. Evaluating relative sensitivity of SWAT-simulated nitrogen discharge to projected climate and land cover changes for two watersheds in North Carolina, USA.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  online, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-34tq-166",
      "keyword": [
        "nitrogen",
        "biogeochemical cycling",
        "SWAT",
        "landuse",
        "climate change",
        "Clean Air Act"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "figdata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/166/figdata.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-07-31",
      "references": [
        "https://doi.org/10.1002/hyp.10707"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hoffman etal 2016 Fisheries Data",
      "description": "Fish collection data associated with the data analysis presented in  Hoffman et al. 2016. Fisheries 41(1):26-37, DOI: 10.1080/03632415.2015.1114926. \n\nThis dataset is associated with the following publication:\nHoffman , J., J. Schloesser, A. Trebitz , G. Peterson , M. Gutsch , H. Quinlan, and J. Kelly. Sampling design for early detection of aquatic invasive species in Great Lakes ports.   FISHERIES. American Fisheries Society, Bethesda, MD, USA, 41(1): 26-37, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-sj4f-212",
      "keyword": [
        "fish",
        "Great Lakes",
        "Aquatic invasive species",
        "sampling design",
        "DNA technology"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A_sj4f_Dataset_20160819.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/212/HoffmanJoel_A_sj4f_Dataset_20160819.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-02-06",
      "references": [
        "https://doi.org/10.1080/03632415.2015.1114926"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Literaure search for intermittent rivers research using ISI Web of Science",
      "description": "The dataset is the bibliometric information included in the ISI Web of Science database of scientific literature.  Table S2 accessible from the dataset link provides bibliometric information included in the literature search.  Table S1 provides the parameters used searching the ISI Web of Science database for each of the subdisciplines. \n\nThis dataset is associated with the following publication:\nLeigh, C., A. Boulton, J. Courtwright, K. Fritz , C. May, R. Walker, and T. Datry. Ecological research and management of intermittent rivers: an historical review and future directions.   FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 61(8): 1181–1199, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-mpgm-269",
      "keyword": [
        "fish",
        "biogeochemistry",
        "ephemeral stream",
        "invertebrate",
        "temporary stream"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "https://onlinelibrary.wiley.com/doi/10.1111/fwb.12646/full",
          "accessURL": "https://onlinelibrary.wiley.com/doi/10.1111/fwb.12646/full",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://webofknowledge.com/",
          "accessURL": "https://webofknowledge.com/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-08-21",
      "references": [
        "https://doi.org/10.1111/fwb.12646"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://images.webofknowledge.com/WOKRS522_2R1/help/WOS/hp_search.html"
      },
      "accessRights": "public"
    },
    {
      "title": "United States Geological Survey discharge data from five example gages on intermittent streams",
      "description": "The data are mean daily discharge data at United States Geological Survey gages.  Once column provides the date (mm/dd/yyyy) and the other column provides the mean daily discharge in cubic feet per second. \n\nThis dataset is associated with the following publication:\nCostigan, K., K. Jaeger, C. Goss, K. Fritz , and P. Goebel. Understanding controls on flow permanence in intermittent rivers to aid ecological research: integrating meteorology, geology and land cover.   ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA,  online, (2016).",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      "identifier": "A-cvdz-267",
      "keyword": [
        "temporary streams",
        "flow cessation",
        "connectivity",
        "continuity",
        "network expansion"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "https://waterdata.usgs.gov/nwis/dv/?site_no=06879650&agency_cd=USGS&referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/dv/?site_no=06879650&agency_cd=USGS&referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/dv/?site_no=09470800&agency_cd=USGS&referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/dv/?site_no=09470800&agency_cd=USGS&referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/or/nwis/dv/?site_no=11493500&agency_cd=USGS&referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/or/nwis/dv/?site_no=11493500&agency_cd=USGS&referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/dv/?site_no=07141300&agency_cd=USGS&referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/dv/?site_no=07141300&agency_cd=USGS&referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/id/nwis/dv/?site_no=13058529&agency_cd=USGS&referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/id/nwis/dv/?site_no=13058529&agency_cd=USGS&referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1002/eco.1712"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://help.waterdata.usgs.gov/codes-and-parameters"
      },
      "accessRights": "public"
    },
    {
      "title": "VIIRS satellite and ground pm2.5 monitoring data",
      "description": "contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5. \n\nThis dataset is associated with the following publication:\nSchliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT.   Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 1(0): 59-74, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-jm6j-259",
      "keyword": [
        "pm2.5",
        "satellite VIIRS data",
        "prediction"
      ],
      "contactPoint": {
        "fn": "David Holland",
        "hasEmail": "mailto:holland.david@epa.gov"
      },
      "distribution": [
        {
          "title": "PAgrid.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/259/PAgrid.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PA510.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/259/PA510.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Complex watersheds, collaborative teams: Assessing pollutant presence and effects in the San Francisco Delta",
      "description": "Chemical monitoring data and biological data from field collected samples. \n\nThis dataset is associated with the following publication:\nBiales , A., D. Denton , D. Riordan, R. Breuer, A. Batt , D. Crane, and H. Schoenfuss. Complex watersheds, collaborative teams: Assessing pollutant presence and effects in the San Francisco Delta.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 11(4): 674-688, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-gqnz-265",
      "keyword": [
        "vitellogenin",
        "San Francisco",
        "surface water",
        "watershed assessment"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Table 1 - ORD - NERL chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/265/Supplementary%20Table%201%20-%20ORD%20-%20NERL%20chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Table 2 - ORD - NRMRL chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/265/Supplementary%20Table%202%20-%20ORD%20-%20NRMRL%20chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Table 3 - CDFW chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/265/Supplementary%20Table%203%20-%20CDFW%20chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://onlinelibrary.wiley.com/doi/10.1002/ieam.1633/full",
          "accessURL": "https://onlinelibrary.wiley.com/doi/10.1002/ieam.1633/full",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-01",
      "references": [
        "https://doi.org/10.1002/ieam.1633"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IMPACT OF GENETIC STRAIN ON BODY FAT LOSS, FOOD CONSUMPTION, METABOLISM, VENTILATION, AND MOTOR ACTIVITY IN FREE RUNNING FEMALE RATS",
      "description": "Physiologic data associated with different strains of common laboratory rat strains. \n\nThis dataset is associated with the following publication:\nGordon , C., P. Phillips , and A. Johnstone. Impact of Genetic Strain on Body Fat Loss, Food Consumption, Metabolism, Ventilation, and Motor Activity in Free Running Female Rats.   PHYSIOLOGY AND BEHAVIOR. Elsevier Science Ltd, New York, NY, USA, 153: 56-63, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8gtr-264",
      "keyword": [
        "body fat",
        "Metabolism",
        "ventilation",
        "Running Wheel",
        "Genetic strain"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub SHC 2.63 Five Strain RW BC METAB MA_Data for Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/264/Science%20Hub%20SHC%202.63%20Five%20Strain%20RW%20BC%20METAB%20MA_Data%20for%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exploring Global Exposure Factors Resources URLs",
      "description": "The dataset is a compilation of hyperlinks (URLs) for resources (databases, compendia, published articles, etc.) useful for exposure assessment specific to consumer product use. \n\nThis dataset is associated with the following publication:\nZaleski, R., P. Egeghy, and P. Hakkinen. Exploring Global Exposure Factors Resources for Use in Consumer Exposure Assessments.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 13(7): 744, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-rxx0-263",
      "keyword": [
        "URLs",
        "Web addresses",
        "ExpoCast",
        "Exposure factors",
        "Exposure Assessment",
        "Time activity patterns",
        "Consumer behavior",
        "Household products"
      ],
      "contactPoint": {
        "fn": "Peter Egeghy",
        "hasEmail": "mailto:egeghy.peter@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD‐016394_Data_Table.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/263/ORD%E2%80%90016394_Data_Table.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-13",
      "references": [
        "https://doi.org/10.3390/ijerph13070744"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/263/documents/ORD%E2%80%90016394_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data sets for manuscript titled Unexpected benefits of reducing aerosol cooling effects",
      "description": "These data sets were created using extensive model simulation results from the WRF-CMAQ model, population distributions, and through the use of an health impact assessment model - see manuscript for details. \n\nThis dataset is associated with the following publication:\nXing, J., J. Wang, R. Mathur , J. Pleim , S. Wang, C. Hogrefe , C. Gan, D. Wong , and J. Hao. Unexpected Benefits of Reducing Aerosol Cooling Effects.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(14): 7527–7534, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-bk3t-220",
      "keyword": [
        "WRF-CAMQ",
        "air pollution exposure",
        "Aerosol direct effects",
        "air quality-climate interactions",
        "Hemispheric CMAQ"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "EST_data_Readme.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/220/EST_data_Readme.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EST_data_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/220/EST_data_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EST_figure3_shapefile_for_ArcGIS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/220/EST_figure3_shapefile_for_ArcGIS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EST_figure1_shapefile_for_ArcGIS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/220/EST_figure1_shapefile_for_ArcGIS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-01",
      "references": [
        "http://pubs.acs.org/doi/abs/10.1021/acs.est.6b00767"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Published journal article with data",
      "description": "published journal article. \n\nThis dataset is associated with the following publication:\nSchumacher, B., J. Zimmerman, J. Elliot, and G. Swanson. The Effect of Equilibration Time and Tubing Material on Soil Gas Measurements.   SOIL AND SEDIMENT CONTAMINATION: AN INTERNATIONAL JOURNAL. CRC Press LLC, Boca Raton, FL, USA, 25(2): 151-163, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-7m0k-290",
      "keyword": [
        "soil gas",
        "equilibration time",
        "tubing type",
        "trichloroethylene",
        "TCE",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Published Article.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/290/Published%20Article.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-09",
      "references": [
        "https://doi.org/10.1080/15320383.2016.1111860"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2",
      "description": "The uploaded data consists of the BRACE Na aerosol observations paired with CMAQ model output, the updated model's parameterization of sea salt aerosol emission size distribution, and the model's parameterization of the sea salt emission factor as a function of sea surface temperature. \n\nThis dataset is associated with the following publication:\nGantt , B., J. Kelly , and J. Bash. Updating sea spray aerosol emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 8: 3733-3746, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-fn39-266",
      "keyword": [
        "air quality",
        "natural emissions",
        "CMAQ",
        "base cations"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "Gantt et al 2015 GMD.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/266/Gantt%20et%20al%202015%20GMD.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.5194/gmd-8-3733-2015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "STOTEN2016 Tong data",
      "description": "CTAG model inputs and outputs. \n\nThis dataset is associated with the following publication:\nTong, Z., R. Baldauf , V. Isakov , P.J. Deshmukh, and M. Zhang. Roadside vegetation barrier designs to mitigate near-road air pollution impacts.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 541: 920-927, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-gmsq-284",
      "keyword": [
        "particulate matter",
        "Urban Planning",
        "Green Infrastructure",
        "Dry Deposition",
        "air quality models"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "STOTEN2016Tong_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/284/STOTEN2016Tong_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "data4figures1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/284/data4figures1.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "title": "data4figures2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/284/data4figures2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data4figures3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/284/data4figures3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data4figures4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/284/data4figures4.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-29",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0048969715307270"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF-CMAQ simulations of Aerosol Direct Effects",
      "description": "CMAQ and WRF output files. This dataset is not publicly accessible because: Too Big. It can be accessed through the following means: The data can be accesses from the ASM data archive at the National Environmental Supercomputing Center at the USEPA. Format: WRF–CMAQ Model output data including SW radiation, PM2.5 , Sulfate aerosol, EC, and SO2 concentrations,   Also aerosol optical depth (AOD). \n\nThis dataset is associated with the following publication:\nGan, C., J. Pleim , R. Mathur , C. Hogrefe , C.N. Long, J. Xing, D. Wong , R. Gilliam , and C. Wei. Assessment of long-term WRF–CMAQ simulations for understanding direct aerosol effects on radiation \"brightening\" in the United States.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15: 12193-12209, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-tmq3-170",
      "keyword": [
        "SURFRAD",
        "Castnet",
        "air quality",
        "WRF-CAMQ",
        "Aerosol",
        "Brightening"
      ],
      "contactPoint": {
        "fn": "Jonathan Pleim",
        "hasEmail": "mailto:pleim.jon@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-01",
      "references": [
        "https://doi.org/10.5194/acp-15-12193-2015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Monthly statistics for WRF with and without MODIS vegetation",
      "description": "The 2006 monthly average statistical metrics for 2m Q (g kg-1) domain-wide for the base and MODIS WRF simulations against MADIS observations. \n\nThis dataset is associated with the following publication:\nRan, L., J. Pleim, R. Gilliam, F. Binkowski, C. Hogrefe, and L. Band. Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(5): 2393-2415, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "A-80gj-289",
      "keyword": [
        "Water vapor mixing ratio",
        "Model statistics",
        "Sattelite",
        "LAI",
        "WRF-CMAQ",
        "MODIS",
        "Meteorology"
      ],
      "contactPoint": {
        "fn": "Jonathan Pleim",
        "hasEmail": "mailto:pleim.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "monthlyErrors_2006.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/289/monthlyErrors_2006.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dailyError_2006.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/289/dailyError_2006.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-26",
      "references": [
        "https://doi.org/10.1002/2015jd024406"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data for figures",
      "description": "Figures 1-10 and Table 1. \n\nThis dataset is associated with the following publication:\nChang, S.Y., S. Arunachalam, A. Valencia, B. Naess, V. Isakov , M. Breen , T. Palma , and W. Vizuete. A modeling framework for characterizing near-road air pollutant concentration at community scales.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 538: 905-921, (2015).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-c2g1-280",
      "keyword": [
        "Dispersion",
        "air pollution",
        "traffic",
        "exposure",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "STOTEN2015_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/280/STOTEN2015_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/280/model_output-hourly-2010-default.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "model_output-hourly-2011-default.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/280/model_output-hourly-2011-default.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "model_output-hourly-2010-newfleet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/280/model_output-hourly-2010-newfleet.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "model_output-hourly-2011-newfleet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/280/model_output-hourly-2011-newfleet.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "STOTEN2015_figures_and_tables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/280/STOTEN2015_figures_and_tables.zip",
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      "references": [
        "https://doi.org/10.1016/j.scitotenv.2015.06.139"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Data and Information to Assessing Inhalation Exposures Associated with Contamination Events inWater Distribution Systems",
      "description": "EPANET network models (inp files) used in paper. The file “cdf2003-12singles.txt” developed using ATUS data, that contains tab-separated values for the starting times and cumulative probabilities plotted in Fig. 2 in supporting design report. There are 101 rows in the file. The first entry in each row is the cumulative probability (0 to 1.0) and the second entry is the corresponding starting time (0.0 to 24.0 hours). The second file (“two events 2003-12.txt”) was developed that contains data for all 36,652 ATUS respondents who reported two grooming events in 2003 to 2012. Results in this file are used in TEVA-SPOT to generate random starting time for individuals who take two showers per day. The file has 36,652 rows and five tab-separated columns. The first column contains the year the data were collected and the second column contains the ATUS identifiers used for the respondents. The third column contains the starting times in hours local time for the first event and the fourth column contains the starting time in hours local time for the second event. The fifth column provides the ATUS weights for the respondents. Weights are needed to compensate for the manner in which sampling and data collection were carried out in ATUS. The Report (EPA/600/R-15/271) documents the design for incorporating the capability for estimating inhalation doses in TEVA-SPOT. \n\nThis dataset is associated with the following publication:\nDavis, M., R. Janke , and T. Taxon. Assessing Inhalation Exposures Associated with Contamination Events in Water Distribution Systems.   PLoS ONE. Public Library of Science, San Francisco, CA, USA,  1-41, (2016).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-h44x-175",
      "keyword": [
        "EPANET network models",
        "Census data",
        "ATUS",
        "Cumulative probabilities for starting times for taking a shower",
        "drinking water distribution systems",
        "TEVA-SPOT",
        "Inhalation exposures",
        "microbial and volatile chemical exposures from inhalation",
        "humidifier inhalation exposures",
        "contaminants in water systems"
      ],
      "contactPoint": {
        "fn": "Robert Janke",
        "hasEmail": "mailto:janke.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Assess_Inhal_Expos_Assoc_Contam_WDS_Davis-Janke-Taxon_PLOS1_2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/175/Assess_Inhal_Expos_Assoc_Contam_WDS_Davis-Janke-Taxon_PLOS1_2016.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cdf2003-12singles.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/175/cdf2003-12singles.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "two_events_2003-12.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/175/two_events_2003-12.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FINAL_TEVA-SPOT_Inhalation_models_EPA-600_R-15_271_REV5.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/175/FINAL_TEVA-SPOT_Inhalation_models_EPA-600_R-15_271_REV5.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-10",
      "references": [
        "https://doi.org/10.1371/journal.pone.0168051"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Maggie Creek Water Quality Data for Ecological Proper Functioning Condition Analysis",
      "description": "These data are \"standard\" water quality parameters collected for surface water condition analysis (for example pH, conductivity, DO, TSS). \n\nThis dataset is associated with the following publication:\nKozlowski, D., R. Hall , S. Swanson, and D. Heggem. Linking Management and Riparian Physical Functions to Water Quality and Aquatic Habitat.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 8(8): 797-815, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-4j13-199",
      "keyword": [
        "water quality",
        "Tribal Sustainability",
        "proper functioning condition",
        "ecological condition assessment",
        "Environmenal health",
        "Ecological Health",
        "Vulnerable Groups"
      ],
      "contactPoint": {
        "fn": "Daniel Heggem",
        "hasEmail": "mailto:heggem.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "WQ_data_combined_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/199/WQ_data_combined_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-10-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chronic test results",
      "description": "Data used for publication. \n\nThis dataset is associated with the following publication:\nStruewing, K., P. Weaver, J. Lazorchak , B. Johnson , D. Funk, and D. Buckwalter. Part 2: Sensitivity comparisons of the insect Centroptilum triangulifer to Ceriodaphnia dubia and Daphnia magna using standard reference toxicants; NaCl, KCl and CuSO4.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 11(139): 597-603, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-brv9-224",
      "keyword": [
        "Mayfly",
        "Comparative Toxicity",
        "NaCl",
        "KCl",
        "CuSO4"
      ],
      "contactPoint": {
        "fn": "James Lazorchak",
        "hasEmail": "mailto:lazorchak.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Katie Acute Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/224/Katie%20Acute%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Raw Chronic Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/224/Raw%20Chronic%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mayfly; Chronic Cu++ Ref Tox Round III.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/224/Mayfly%3B%20Chronic%20Cu%2B%2B%20Ref%20Tox%20Round%20III.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mayfly; Chronic Cu++ Ref Tox Round II.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/224/Mayfly%3B%20Chronic%20Cu%2B%2B%20Ref%20Tox%20Round%20II.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mayfly; Chronic Cu++ Ref Tox Round I.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/224/Mayfly%3B%20Chronic%20Cu%2B%2B%20Ref%20Tox%20Round%20I.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-09",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2014.04.096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Figures in Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plots",
      "description": "•\tFigure 1.  Ratio of cumulative released cells to cells initially present in the manure at Week 0 as they vary by time, manure type and age, microbe, and Event (i.e., season). The 95% confidence intervals of the observed median number of cells in microbial runoff are shown as the shaded area.\n•\tFigure 2.  Typical observed and simulated cumulative microbial runoff for Plots A403 and C209 with individual plot calibration.\n•\tFigure 3.  Observed versus simulated microbial runoff associated with the Approach 1, adjusted for cumulative results by manure type and Event. Results accounted for counts associated with field monitoring time intervals described in Section 2.1 Field method. NS=Nash-Sutcliffe modeling efficiency, EC=E. coli, En=enterococci, FC= fecal coliforms.\n•\tFigure 4.  Ratio of cumulative released cells/mass to cells/mass initially present in the aged manure by time and component (e.g., microbe) for solid manure (a) and (b), and amended, dry litter, and slurry manure (c). Solid lines (Equation (11) correspond to values in Table 3 for solid manure, and dry litter and slurry manure, respectively: (a) uses individual b values, and (b) and (c) use the combined values for b. Bounds of first and third quartiles associated with the present study’s results for cattle. Bounds of first and third quartiles associated with the present study’s results for poultry and swine. The full color versions of all figures are available in the online version of this paper, at http://dx.doi.org/10.2166/wh.2016.239.\n•\tFigure 5.  Ranges in α and β values for bovine (dairy calf, cattle, or cow) manure, as published or computed from the literature: (1) Bradford & Schijven (2002), (2) Schijven et al. (2004), (3) Guber et al. (2013), (4) Equation (9), (5) Blaustein et al. (2015), and (6) estimated in the present study (PEST and bootstrap). \n\nThis dataset is associated with the following publication:\nKim, K., G. Whelan , M. Molina , T. Purucker , Y. Pachepsky, A. Guber, M. Cyterski , D. Franklin, and R. Blaustein. Rainfall-induced release of microbes from manure: model development, parameter estimation, and uncertainty evaluation on small plots.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 14(2): wh2016239, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-bp02-236",
      "keyword": [
        "bootstrap",
        "Bradford–Schijven release model",
        "manure",
        "microbe",
        "PEST",
        "quantitative microbial risk assessment (QMRA)"
      ],
      "contactPoint": {
        "fn": "Gene Whelan",
        "hasEmail": "mailto:whelan.gene@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure1_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/236/Figure1_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/236/Figure2_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure3_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/236/Figure3_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/236/Figure4_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/236/Figure5_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2015-12-09",
      "references": [
        "https://doi.org/10.2166/wh.2016.239"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Table 1.  Summary of Field Testing and Measurement Data",
      "description": "Key performance parameters measured during the field demonstration such as lining thickness, compressive strength, Flexural Strength, Modulus of Elasticity, bond Strength, Density, Set/Cure Time, and Slump. \n\nThis dataset is associated with the following publication:\nMatthews, J., A. Selvakumar , S. Vaidya, and W. Condit. Large-Diameter Sewer Rehabilitation Using a Spray Applied Fiber Reinforced Geopolymer Mortar.   Practice Periodical on Structural Design and Construction. American Society of Civil Engineers (ASCE), New York, NY, USA, 20(4): 9999, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-7d83-19",
      "keyword": [
        "performance parameters",
        "lining thickness",
        "Field demonstration",
        "sewer pipe lining",
        "geopolymer",
        "spray applied"
      ],
      "contactPoint": {
        "fn": "Ariamalar Selvakumar",
        "hasEmail": "mailto:selvakumar.ariamalar@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/19/Meta%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-11-03",
      "references": [
        "http://ascelibrary.org/doi/abs/10.1061/(ASCE)SC.1943-5576.0000246"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/19/documents/Meta%20Data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Controls on nitrous oxide production and consumption in reservoirs of the Ohio River Basin\"",
      "description": "Dissolved oxygen, dissolved nitrous oxide, and water temperature in reservoirs. \n\nThis dataset is associated with the following publication:\nBeaulieu , J., C. Nietch , and J. Young. Source or sink: Insight on controls of nitrous oxide biogeochemistry from a 20 reservoir survey.   Journal of Geophysical Research - Biogeosciences. American Geophysical Union, Washington, DC, USA, 120(10): 1995-2010, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-gtj6-146",
      "keyword": [
        "nitrous oxide saturation",
        "greenhouse gas emissions",
        "reservoirs",
        "epilimnion",
        "hypolimnion"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "sdmp.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/146/sdmp.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-30",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1002/2015JG002941/full"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Neurite outgrowth in human iPSC-derived neurons",
      "description": "Data on morphology of rat and human neurons in cell culture. \n\nThis dataset is associated with the following publication:\nDruwe, I., T. Freudenrich , K. Wallace , T. Shafer , and W. Mundy. Comparison of Human Induced PluripotentStem Cell-Derived Neurons and Rat Primary CorticalNeurons as In Vitro Models of Neurite Outgrowth.   Applied In vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 2(1): 26-36, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-vdp1-99",
      "keyword": [
        "human IPSC",
        "neurite",
        "alternative models",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "William Mundy",
        "hasEmail": "mailto:mundy.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Human iCell growth characterization.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/99/Human%20iCell%20growth%20characterization.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Neurite Growth Human iCell.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/99/Neurite%20Growth%20Human%20iCell.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Neurite Growth Rat Cortical.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/99/Neurite%20Growth%20Rat%20Cortical.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-01",
      "references": [
        "https://doi.org/10.1089/aivt.2015.0025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iron mineralogy and uranium-binding environment in the rhizosphere of a wetland soil",
      "description": "The dataset contains two XRF images of iron and uranium distribution on plant roots and a database of XANES data used to produce XANES spectra figure for Figure 7 in the published paper. \n\nThis dataset is associated with the following publication:\nKaplan, D., R. Kukkadapu, J. Seaman, B. Arey, A. Dohnalkova, S. Buettner, D. Li, T. Varga, K. Scheckel, and P. Jaffe. Iron Mineralogy and Uranium-Binding Environment in the Rhizosphere of a Wetland Soil.  D. Barcelo  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 569: 53-64, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-8kq0-257",
      "keyword": [
        "uranium",
        "synchrotron speciation",
        "Mossbauer",
        "iron nanoparticles",
        "plant root",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "KaplanUPaper_XANES Spectra Fig 7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/257/KaplanUPaper_XANES%20Spectra%20Fig%207.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "KaplanUPaper_XANES Spectra Fig 7XRFImages.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/257/KaplanUPaper_XANES%20Spectra%20Fig%207XRFImages.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.06.120"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linear Combination Fitting (LCF)-XANES analysis of As speciation in selected mine-impacted materials",
      "description": "This table provides sample identification labels and classification of sample type (tailings, calcinated, grey slime).  For each sample, total arsenic and iron concentrations determined by acid digestion and ICP analysis are provided along with arsenic in-vitro bioaccessibility (As IVBA) values to estimate arsenic risk. Lastly, the table provides linear combination fitting results from synchrotron XANES analysis showing the distribution of arsenic speciation phases present in each sample along with fitting error (R-factor). \n\nThis dataset is associated with the following publication:\nOllson, C., E. Smith, K. Scheckel, A. Betts, and A. Juhasz. Assessment of arsenic speciation and bioaccessibility in mine-impacted materials.  Diana Aga, Wonyong Choi, Andrew Daugulis, Gianluca Li Puma, Gerasimos Lyberatos, and Joo Hwa Tay  JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 313: 130-137, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-tdzm-49",
      "keyword": [
        "in vitro bioaccessibility",
        "arsenic",
        "synchrotron speciation",
        "tailings"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 2 Ollsonetal_JHM2016.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/49/Table%202%20Ollsonetal_JHM2016.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-15",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2016.03.090"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Quality Time Series, Aggregate values, and Related Aggregate Risk Measures ",
      "description": "The excel file contains time series data of flow rates, concentrations of alachlor , atrazine, ammonia, total phosphorus, and total suspended solids observed in two watersheds in Indiana from 2002 to 2007. The aggregate time series data corresponding or representative to all these parameters was obtained using a specialized, data-driven technique. The aggregate data is hypothesized in the published paper to represent the overall health of both watersheds with respect to various potential water quality impairments. The time series data for each of the individual water quality parameters were used to compute corresponding risk measures (Rel, Res, and Vul) that are reported in Table 4 and 5. The aggregation of the risk measures, which is computed from the aggregate time series and water quality standards in Table 1, is  also reported in Table 4 and 5 of the published paper. Values under column heading \"uncertainty\" reports uncertainties associated with reconstruction of missing records of the water quality parameters. Long-term records of the water quality parameters were reconstructed in order to estimate the (R-R-V) and corresponding aggregate risk measures. \n\nThis dataset is associated with the following publication:\nHoque, Y., S. Tripathi, M. Hantush , and R. Govindaraju. Aggregate Measures of Watershed Health from Reconstructed Water Quality Data with Uncertainty.  Ed Gregorich  JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 45(2): 709-719, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-h9wd-69",
      "keyword": [
        "water quality",
        "pesticides",
        "nutrients",
        "sediment",
        "Risk Assessment",
        "Watershed",
        "Reliability",
        "Resiliance",
        "Vulnerability",
        "Uncertainty",
        "Aggregate Measure",
        "Watershed Health"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "Aggregate_R-R-V_Paper_MetaData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/69/Aggregate_R-R-V_Paper_MetaData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-11-01",
      "references": [
        "https://doi.org/10.2134/jeq2015.10.0508"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PNW Hydrologic Landscape Class",
      "description": "Work has been done to expand the hydrologic landscapes (HLs) concept and to develop an approach for using it to address streamflow vulnerability from climate change.  This work has included development of the HL classification framework and its application to Oregon, use of the HL classes to predict where a simple lumped hydrologic model accurately predicts daily streamflow, use of HL information to model the presence of cold-water patches at tributary confluences, and combining Oregon HL results with temperature and precipitation predictions to examine how HLs would vary as a result of climate change.  As a part of the current work, the HL approach has been expanded to the Pacific Northwest (Oregon, Washington, and Idaho) based on a revision of the approach that makes it more broadly applicable. This revised approach has several advantages compared with the original approach:  it is not limited to areas that have an aquifer permeability map; it uses a flexible approach to converting a nationally available geospatial dataset into assessment units; and it is more robust.  These improvements should allow the revised HL approach to be applied more often in situations requiring hydrologic classification, and allow greater confidence in results.  This effort paves the way for a climate change analysis for the Pacific Northwest that is currently underway, as well as expansion into the southwest (California, Arizona, and Nevada).  This dataset contains a high resolution version of the PNW HL maps along with shape files. \n\nThis dataset is associated with the following publication:\nLeibowitz , S., R. Comeleo , P.J. Wigington, Jr., M. Weber , E.A. Sproles, and K.A. Sawicz. Hydrologic Landscape Characterization for the Pacific Northwest, USA.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 52(2): 473-493, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-w6mz-268",
      "keyword": [
        "hydrologic classification",
        "hydrologic cycle",
        "watersheds",
        "rivers/streams",
        "runoff",
        "geospatial analysis",
        "National Hydrography Dataset",
        "NHD",
        "Pacific Northwest"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "PNW_HLs_41.5x36_v2_300dpi_060415.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/268/PNW_HLs_41.5x36_v2_300dpi_060415.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/HydrologicLandscapes/pnw_hydrologic_landscape_class.zip",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/HydrologicLandscapes/pnw_hydrologic_landscape_class.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-08",
      "references": [
        "https://doi.org/10.1111/1752-1688.12402"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-labile silver species in biosolids remain stable throughout 50 years of weathering and ageing",
      "description": "The dataset contains energy and absorption data for XANES spectra indicated in Figure 1 of the manuscript. \n\nThis dataset is associated with the following publication:\nDonner, E., K. Scheckel , R. Sekine, R. Popelka-Filcoff, J. Bennett, G. Brunetti, R. Naidu, S. McGrath, and E. Lombi. Non-labile silver species in biosolids remain stable throughout 50 years of weathering and ageing..  D.O. Carpenter, and E.Y. Zeng  ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 205: 78-86, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-s7hr-258",
      "keyword": [
        "silver nanoparticles",
        "synchrotron speciation",
        "biosolids",
        "isotopic dilution",
        "E-values"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "DonnerAgPaper_XANES Spectra Fig 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/258/DonnerAgPaper_XANES%20Spectra%20Fig%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-02",
      "references": [
        "https://doi.org/10.1016/j.envpol.2015.05.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fathead minnow whole-mount in situ hybridization (WISH)",
      "description": "This study demonstrates the potential of whole-mount in situ hybridization (WISH), in conjunction with quantitative real-time polymerase chain reaction (QPCR) assays, to examine the mechanistic basis of the effects of toxicants on early-lifestage fathead minnows. Specifically, fathead minnow embryos were exposed to the environmentally-relevant estrogen receptor agonist, estrone, and the data show that: (1) the estrogen-responsive gene transcripts esr1, vtg, and cyp19b can be up-regulated in very early-lifestages of the fathead minnow, (2) WISH methods developed for zebrafish can also be applied successfully to fathead minnows, and (3) WISH has potential to be a useful tool for toxicological studies pertaining to early-lifestage development in the fathead minnow. This type of mechanistic information relative to spatial distribution of gene expression is important in determining potential biological pathways that may be impacted by targeted chemicals and the development of associated adverse outcome pathways. \n\nThis dataset is associated with the following publication:\nCavallin, J., A. Schroeder, K. Jensen , D. Villeneuve , B. Blackwell, K. Carlson, M. Kahl , C. LaLone , E. Randolph , and G. Ankley. Evaluation of whole-mount in situ hybridization as a tool for pathway-based  toxicological research with early-life stage fathead minnows.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 169: 19-26, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-9w14-314",
      "keyword": [
        "qPCR",
        "whole mount in situ hybridization",
        "development",
        "adverse outcome pathway",
        "fathead minnow",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "Cavallin et al 2015 Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/314/Cavallin%20et%20al%202015%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2015.10.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dasroption of Heavy metals from water using pyrolized biochar",
      "description": "Removal of copper and lead metal ions from water using pyrolized plant materials. Method can be used to develop a low cost point-of-use device for cleaning contaminated water. \n\nThis dataset is associated with the following publication:\nDeMessie, B., E. Sahle-Demessie , and G. Sorial. Cleaning Water Contaminated With Heavy Metal Ions Using Pyrolyzed Banana Peel Adsorbents.   Separation Science and Technology. Marcel Dekker Incorporated, New York, NY, USA, 50(16): 2448-2457, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-0000-309",
      "keyword": [
        "copper and lead ions",
        "adsorption equilibrium",
        "removal efficiency",
        "pyrolyzed banana peel",
        "heavy metal",
        "kinetics"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Cleaning Water from Cu(II) using Pyrolized B.P..xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/309/Cleaning%20Water%20from%20Cu%28II%29%20using%20Pyrolized%20B.P..xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ZetaPotential_bananaPeel.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/309/ZetaPotential_bananaPeel.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-24",
      "references": [
        "https://doi.org/10.1080/01496395.2015.1064134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SFBR Synoptic Study",
      "description": "The data set consists of fecal indicator bacteria and microbial source tracking marker concentrations in water and sediments across multiple seasons.  Samples were collected during baseflow from a variety of watershed classifications. Portions of this dataset are inaccessible because: Researchers are still working on manuscripts out of this data set and can't be released at this time. They can be accessed through the following means: Contacting corresponding author for product. Format: The data set will contain environmental parameters, fecal indicator bacteria concentrations and DNA source tracking markers. \n\nThis dataset is associated with the following publication:\nBradshaw, J.K., B. Snyder, A. Oladeinde, D. Spidle, M. Berrang, R. Meinersmann, B. Oakley, R. Sidle, K. Sullivan , and M. Molina. Characterizing relationships among fecal indicator bacteria, microbial source tracking markers, and associated waterborne pathogen occurrence in stream water and sediments in a mixed land use watershed.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 101: 498-509, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390078",
      "keyword": [
        "synoptic sampling",
        "agricultural watersheds",
        "pathogens",
        "fecal indicator bacteria",
        "sediments",
        "storm events",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "SFBR_Synoptic_Study_2013_WY_Master_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390078/SFBR_Synoptic_Study_2013_WY_Master_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-14",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.05.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stoichiometry of excreta and excretion rates of a stream-dwelling plethodontid salamander",
      "description": "Stoichiometry of excreta and excretion rates of a stream-dwelling plethodontid salamander in Cincinnati, OH, USA. \n\nThis dataset is associated with the following publication:\nMilanovich , J., and M. Hopton. Stoichiometry of excreta in larval stream salamanders: implications regarding the ecological roles of salamanders.   FUNCTIONAL ECOLOGY. Blackwell Publishing, Malden, MA, USA,  00, (2012).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-kh1q-282",
      "keyword": [
        "Eurycea cirrigera",
        "nitrogen",
        "phosphorus",
        "urea",
        "Plethodontidae",
        "fish",
        "amphibians",
        "salamanders",
        "stoichiometry",
        "land use",
        "stable isotopes",
        "headwater streams",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Milanovich_Hopton_2016_Copiea.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/282/Milanovich_Hopton_2016_Copiea.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2011-08-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Asian longhorned beetle complicates the relationship between taxonomic diversity and pest vulnerability in street tree assemblages",
      "description": "Urban foresters routinely emphasise the importance of taxonomic diversity to reduce the vulnerability of tree assemblages to invasive pests, but it is unclear to what extent diversity reduces vulnerability to polyphagous (i.e. generalist) pests. Drawing on field data from seven communities in metropolitan Cincinnati, Ohio, USA, we tested the hypothesis that communities with higher diversity would exhibit lower vulnerability to the polyphagous Asian longhorned beetle, which currently threatens the region. Based on street tree compositions and the beetle’s host preferences, Asian longhorned beetle threatened up to 35.6% of individual street trees and 47.5% of the total basal area across the study area, but we did not see clear connections between taxonomic diversity and beetle vulnerability among study communities. For example, the city of Fairfield was among the least diverse communities but had the lowest proportion of trees vulnerable to Asian longhorned beetle, whereas the city of Wyoming exhibited high diversity and high vulnerability. On the other hand, Forest Park aligned with our original hypothesis, as it was characterised by low diversity and high vulnerability. Our results demonstrate that relatively high taxonomic diversity in street tree assemblages does not necessarily lead to reduced vulnerability to a polyphagous pest. Considering the threats posed by polyphagous pests, selecting a set of relatively pest resistant trees known to perform well in urban areas may promote long-term stability better than following simple heuristics for maximising taxonomic diversity, but further study is warranted. \n\nThis dataset is associated with the following publication:\nBerland , A., and M. Hopton. Asian longhorned beetle complicates the relationship between taxonomic diversity and pest vulnerability in street tree assemblages.   Arboricultural Journal: The International Journal of Urban Forestry. Taylor & Francis Group, London,  UK, 38(1): 28-40, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8gts-285",
      "keyword": [
        "Asian longhorned beetle",
        "diversity",
        "invasive pests",
        "ecosystem services",
        "Green Infrastructure",
        "street trees",
        "biological diversity",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Berland_Hopton_2016_ArboricJournal_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/285/Berland_Hopton_2016_ArboricJournal_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-07-14",
      "references": [
        "https://doi.org/10.1080/03071375.2016.1157305"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National assessment of Tree City USA participation according to geography and socioeconomic characteristics",
      "description": "Tree City USA is a national program that recognizes municipal commitment to community forestry. In return for meeting program requirements, Tree City USA participants expect social, economic, and/or environmental benefits. Understanding the geographic distribution and socioeconomic characteristics of Tree City USA communities at the national scale can offer insights into the motivations or barriers to program participation, and provide context for community forestry research at finer scales. In this study, researchers assessed patterns in Tree City USA participation for all U.S. communities with more than 2,500 people according to geography, community population size, and socioeconomic characteristics, such as income, education, and race. Nationally, 23.5% of communities studied were Tree City USA participants, and this accounted for 53.9% of the total population in these communities. Tree City USA participation rates varied substantially by U.S. region, but in each region participation rates were higher in larger communities, and long-term participants tended to be larger communities than more recent enrollees. In logistic regression models, owner occupancy rates were significant negative predictors of Tree City USA participation, education and percent white population were positive predictors in many U.S. regions, and inconsistent patterns were observed for income and population age. The findings indicate that communities with smaller populations, lower education levels, and higher minority populations are underserved regionally by Tree City USA, and future efforts should identify and overcome barriers to participation in these types of communities. \n\nThis dataset is associated with the following publication:\nBerland , A., D. Herrmann , and M. Hopton. National Assessment of Tree City USA Participation According to Geography andSocioeconomic Characteristics.   Arboriculture & Urban Forestry. International Society of Arboriculture, Champaign, IL, USA, 42(2): 120-130, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8gts-286",
      "keyword": [
        "Arbor Day Foundation",
        "community forestry",
        "Green Infrastructure",
        "municipal management",
        "ecosystem services",
        "street trees",
        "biological diversity",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Berland_etal_2016_AUF_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/286/Berland_etal_2016_AUF_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-03-04",
      "references": [
        "http://auf.isa-arbor.com/articles.asp?JournalID=1&VolumeID=42&IssueID=2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HF183/BFDrev and HumM2 qPCR data",
      "description": "Concentration estimates for HF183/BFDrev and HumM2 qPCR genetic markers in raw sewage collected from 54 geographic locations across the United States. \n\nThis dataset is associated with the following publication:\nBoehm, A., J. Soller, and O. Shanks. Human-Associated Fecal qPCR Measurements and Predicted Risk of Gastrointestinal Illness in Recreational Waters Contaminated with Raw Sewage.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2: 270-275, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-c5b8-98",
      "keyword": [
        "qPCR",
        "Microbial Source Tracking",
        "QMRA",
        "Fecal Pollution"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Boehm et al 2015_MST qPCR Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/98/Boehm%20et%20al%202015_MST%20qPCR%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-07",
      "references": [
        "http://pubs.acs.org/doi/pdf/10.1021/acs.estlett.5b00219"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "H002 (Cu), H003 (PVC), H072 (Cu), H079 (PVC)",
      "description": "Whole-genome sequences of four strains closely related to members of the Mycobacterium chelonae group, isolated from biofilms in a drinking water distribution system simulator. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Whole-Genome Sequences of Four Strains Closely Related with Members of the Mycobacterium chelonae group, Isolated from Biofilms in a Drinking Water Distribution System Simulator.   Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(1): 1-2, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-1g1m-111",
      "keyword": [
        "Mycobacterium chelonae",
        "Polyvinyl chloride (PVC)",
        "Copper (Cu)",
        "drinking water",
        "genome",
        "chloramine",
        "sequences",
        "Mycobacterium"
      ],
      "contactPoint": {
        "fn": "Randy Revetta",
        "hasEmail": "mailto:revetta.randy@epa.gov"
      },
      "distribution": [
        {
          "title": "Set02.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/111/Set02.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "http://genomea.asm.org/content/4/1/e01539-15.full"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Applicability of UV resistant Bacillus pumilus spore as a human adenovirus surrogate for evaluating the effectiveness of virus inactivation in low-pressure UV treatment systems",
      "description": "Data set includes UV dose, and Bacillus pumilus spore plate counts in colony forming units. \n\nThis dataset is associated with the following publication:\nBoczek , L., E. Rhodes , J. Cashdollar, J. Ryu, J. Popovici , J. Hoelle , M. Sivaganesan , S. Hayes , M. Rodgers , and H. Ryu. Applicability of UV resistant Bacillus pumilus endospores as a human adenovirus surrogate for evaluating the effectiveness of virus inactivation in low-pressure UV treatment systems.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 122: 43-49, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-qvbb-102",
      "keyword": [
        "radiometer readings",
        "spore counts",
        "CFU",
        "Low-pressure UV disinfection",
        "UV resistant Bacillus pumilus spore",
        "human adenovirus surrogate"
      ],
      "contactPoint": {
        "fn": "Laura Boczek",
        "hasEmail": "mailto:boczek.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "spore paper science hub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/102/spore%20paper%20science%20hub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-07-31",
      "references": [
        "https://doi.org/10.1016/j.mimet.2016.01.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization and optimization of cathodic conditions for H2O2 synthesis in microbial electrochemical cells",
      "description": "H2O2_COD_EPA: Measurements of hydrogen peroxide and COD concentrations for water samples from the MEC reactors.\nMEC_acclimation: raw data for current and voltage of the anode in the MEC reactor. \n\nThis dataset is associated with the following publication:\nSim, J., J. An, E. Elbeshbishy, R. Hodon, and H. Lee. Characterization and optimization of cathodic conditions for H2O2 synthesis in microbial electrochemical cells.   Bioresource Technology. Elsevier Online, New York, NY, USA, 195: 31-36, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-zkhr-96",
      "keyword": [
        "COD",
        "Hydrogen Peroxide",
        "current",
        "voltage",
        "anode",
        "microbial electrochemcial cell"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "H2O2_COD_EPA 011515_Sci Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/96/H2O2_COD_EPA%20011515_Sci%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC_acclimation_Sci Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/96/MEC_acclimation_Sci%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0960852415008676"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Magnetic graphitic carbon nitride: its applicationin the C-& H-activation of amines.  ",
      "description": "Magnetic graphitic carbon nitride, Fe@g-C3N4, has been synthesized by adorning graphitic carbon nitride (g-C3N4) support with iron oxide via non-covalent interaction. The magnetically recyclable catalyst showed excellent reactivity for expeditious C-H activation and cyanation of amines. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B. Nasir Baig, H. Changseok, M. Nadagouda , and R. Varma. Magnetic graphitic carbon nitride: its applicationin the C–H activation of amines.   CHEMICAL COMMUNICATIONS. Royal Society of Chemistry, Cambridge,  UK, 51(85): 15554 - 15557, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-305",
      "keyword": [
        "Graphitic carbon nitride",
        "C-H Activation",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/c5/cc/c5cc05895c/c5cc05895c1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/c5/cc/c5cc05895c/c5cc05895c1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-13",
      "references": [
        "https://doi.org/10.1039/c5cc05895c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health",
      "description": "Bacteria and fungi in source and treated drinking water. \n\nThis dataset is associated with the following publication:\nKing , D., S. Pfaller , M. Donohue , S. Vesper , E. Villegas , M. Ware , S. Glassmeyer , M. Vogal, E. Furlong, and D. Kolpin. Microbial pathogens in source and treated waters from drinking water treatment plants in the United States and implications for human health.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 562: 987–995, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-cjt7-241",
      "keyword": [
        "mycobacteria",
        "legionella",
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "PhaseIIMicro_Scihub_SPFALLER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/241/PhaseIIMicro_Scihub_SPFALLER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-25",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0048969716306623"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measured and Calculated Volumes of Wetland Depressions",
      "description": "Measured and calculated volumes of wetland depressions. \n\nThis dataset is associated with the following publication:\nWu, Q., and C. Lane. Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(2): 215-227, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-xktc-327",
      "keyword": [
        "wetlands",
        "water storage"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Wu_and_Lane_Depression_Delineation_and_Quantification.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/327/Wu_and_Lane_Depression_Delineation_and_Quantification.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-01",
      "references": [
        "https://doi.org/10.1007/s13157-015-0731-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "phosphorus retention data and metadata",
      "description": "phosphorus retention in wetlands data and metadata. \n\nThis dataset is associated with the following publication:\nLane , C., and B. Autrey. Phosphorus retention of forested and emergent marsh depressional wetlands in differing land uses in Florida, USA.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 24(1): 45-60, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-2fr1-281",
      "keyword": [
        "phosphorus",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "P_retention_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/281/P_retention_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-01",
      "references": [
        "https://doi.org/10.1007/s11273-015-9450-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/281/documents/P_retention_data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data Sources for the Analyses ",
      "description": "Links are provided for the National Wetlands Inventory, National Hydrography Dataset, and the WorldClim-Global Climate Data source data websites. \n\nThis dataset is associated with the following publication:\nLane , C., and E. D'Amico. Identification of Putative Geographically Isolated Wetlands of the Conterminous United States.   JAWRA. American Water Resources Association, Middleburg, VA, USA,  online, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-mcvx-283",
      "keyword": [
        "geographically isolated wetlands;"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "ID_of_pGIWs_Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/283/ID_of_pGIWs_Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.fws.gov/wetlands",
          "accessURL": "https://www.fws.gov/wetlands",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nhd.usgs.gov/",
          "accessURL": "https://nhd.usgs.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.worldclim.org/",
          "accessURL": "https://www.worldclim.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-01",
      "references": [
        "https://doi.org/10.1111/1752-1688.12421"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters",
      "description": "Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options.  Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with respect to sample interference.  Multiple samples from each of 22 sites representing an array of habitat types were analyzed using EPA Method 1611 and 1609 reagents with full strength and five-fold diluted extracts.  The presence of interference was assessed three ways: using sample processing and PCR amplifications controls; consistency of results across extract dilutions; and relative recovery of target genes from spiked enterococci in water sample compared to control matrices with acceptable recovery defined as 50 to 200%.  Method 1609, which is based on an environmental mastermix, was found to be superior to Method 1611, which is based on a universal mastermix. Method 1611 had over a 40% control assay failure rate with undiluted extracts and a 6% failure rate with diluted extracts.  Method 1609 failed in only 11% and 3% of undiluted and diluted extracts analyses.  Use of sample processing control assay results in the delta-delta Ct method for calculating relative target gene recoveries increased the number of acceptable recovery results.  Delta-delta tended to bias recoveries from apparent partially inhibitory samples on the high side which could help in avoiding potential underestimates of enterococci - an important consideration in a public health context.  Control assay and delta-delta recovery results were largely consistent across the range of habitats sampled, and among laboratories.  The methodological option that best balanced acceptable estimated target gene recoveries with method sensitivity and avoidance of underestimated enterococci densities was Method 1609 without extract dilution and using the delta-delta calculation method.  The applicability of this method can be extended by the analysis of diluted extracts to sites where interference is indicated but, particularly in these instances, should be confirmed by augmenting the control assays with analyses for target gene recoveries from spiked target organisms. \n\nThis dataset is associated with the following publication:\nHaugland , R., S. Siefring , M. Varma , K. Oshima , M. Sivaganesan , Y. Cao, M. Raith, J. Griffith, S. Weisberg, R. Noble, A.D. Blackwood, J. Kinzelman, T. Anan'eva, R. Bushon, E. Stelzer, V. Harwood, K. Gordon, and C. Sinigalliano. Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 123(1): 114-125, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-95xf-46",
      "keyword": [
        "Enterococci",
        "qPCR",
        "Interference",
        "Performance",
        "EPA Method 1609",
        "EPA Method 1611"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata_20160506.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/46/Metadata_20160506.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-04",
      "references": [
        "https://doi.org/10.1016/j.mimet.2016.01.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Photooxidation of farnesene mixtures in the presence of NOx: Analysis of reaction products and their implication to ambient PM2.5",
      "description": "Chemical analysis of SOA produced from the irradiation of a mixture of α/β-farnesene/NOx was conducted in a 14.5 cubic meter smog chamber. SOA collected on glass-fiber filters was solvent extracted, derivatized using BSTFA, and analyzed by GC-MS. Gas-phase products were analyzed using a combination of GC-FID and GC-MS. This analysis showed the occurrence of more than 30 SOA oxygenated species and more than 20 in the gas phase. The major SOA components measured include conjugated α farnesene trienols, C3–C7 linear dicarboxylic acids, carbonyl compounds, and hydroxy/carbonyl/carboxylic compounds. In the gas phase, the main species identified were formaldehyde, glyoxal, methylglyoxal, acetone, 2,3-dimethyl-oxirane, 2(3H)-furanone, 2-butenedioic acid, 4 oxopentanal, 4-methylenehex-5-enal, and 6-methylhept-5-en-2-one. Proposed reaction schemes are provided for selected compounds. H-atom abstraction and OH addition in α/β-farnesene oxidation seem to play an important role via the formation of unsaturated radicals containing different numbers of delocalized electrons. Allylic hydrogen abstraction and hydroperoxyalkyl radical channels might play a key role in the oxidation of α/β-farnesene. \nThe contribution of farnesene SOA products to ambient PM2.5 was investigated by analyzing PM2.5 samples collected during SOAS 2013 field study at a site in Research Triangle Park (RTP), NC. The importance of these findings was supported by the occurrence of several organic species in both field and laboratory samples, suggesting the impact of farnesene on the ambient aerosol burden, mainly in areas where farnesene emissions are high. Although, pentanedioic acid and methylsuccinic acid appear to be candidate markers for farnesene SOA, additional chamber and mechanistic studies are required to estimate the contributions of farnesene to ambient SOA. \n\nThis dataset is associated with the following publication:\nJaoui, M., M. Lewandowski , K. Docherty, E. Corse, B. Lonneman, J. Offenberg , and T. Kleindienst. Photooxidation of farnesene mixtures in the presence of NOx: Analysis of reaction products and their implication to ambient PM2.5.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 130: 190-201, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-dr84-238",
      "keyword": [
        "Sesquiterpenes",
        "Farnesene",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure1-3 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/238/Figure1-3%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/238/Figure%201%20metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/238/Figure%202%20metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/238/Figure%203%20metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2015.10.091",
        "https://pasteur.epa.gov/uploads/238/documents/GC-MS%20source%20file.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of polar organosulfates in secondary organic aerosol from the unsaturated aldehydes 2-E-pentenal, 2-E-hexenal, and 3-Z-hexenal ",
      "description": "We show in the present study that the unsaturated aldehydes, 2-E-pentenal, 2-E-hexenal and 3-Z-hexenal, are biogenic volatile organic compound (BVOC) precursors for polar organosulfates with molecular weighs (MWs) 230 and 214, which are also present in ambient fine aerosol from a forested site, i.e., K-puszta, Hungary. These results complement those obtained in a previous study showing that the green leaf aldehyde 3-Z-hexenal serves as a precursor for MW 226 organosulfates. Thus, in addition to isoprene, the green leaf volatiles 2-E-hexenal and 3-Z-hexenal, emitted due to plant stress (mechanical wounding or insect attack), and 2-E-pentenal, a photolysis product of 3-Z-hexenal, should be taken into account for secondary organic aerosol and organosulfate formation. Polar organosulfates are of climatic relevance because of their hydrophilic properties and cloud effects. Extensive use was made of organic mass spectrometry (MS) and detailed interpretation of MS data (i.e., ion trap MS and accurate mass measurements) to elucidate the chemical structures of the MW 230, 214 and 170 organosulfates formed from 2-E-pentenal and indirectly from 2-E-hexenal and 3-Z-hexenal. In addition, quantum chemical calculations were performed to explain the different mass spectral behavior of 2,3-dihydroxypentanoic acid sulfate derivatives, where only the isomer with the sulfate group at C-3 results in the loss of SO3. The MW 214 organosulfates formed from 2-E-pentenal are explained by epoxidation of the double bond in the gas phase and sulfation of the epoxy group with sulfuric acid in the particle phase through the same pathway as that proposed for 2-hydroxy-2-methyl-3-sulfoxypropanoic acid from the isoprene-related α,β-unsaturated aldehyde methacrolein in previous work (Lin et al., 2013). The MW 230 organosulfates formed from 2-E-pentenal are tentatively explained by a novel pathway, which bears features of the latter pathway but introduces an additional hydroxyl group at the C-4 position. Evidence is also presented that the MW 214 positional isomer, 3hydroxy-2-sulfooxypentanoic acid is unstable and decarboxylates, giving rise to 2-hydroxy-1sulfoxybutane, a MW 170 organosulfate. Furthermore, evidence is obtained that lactic acid sulfate is generated from 2-E-pentenal. \n\nThis dataset is associated with the following publication:\nShalamzari, M., R. Vermeylen, F. Blockhuys, T. Kleindienst , M. Lewandowski , R. Szmigielski, K. Rudzinski, G. Spolnik, W. Danikiewicz, W. Maenhaut, and M. Claeys. Characterization of polar organosulfates in secondary organic aerosol from the unsaturated aldehydes 2-E-pentenal, 2-E-hexenal, and 3-Z-hexenal.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16: 7135-7148, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-dr84-239",
      "keyword": [
        "hexenal",
        "pentenal",
        "organosulfate",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Sample data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/239/Sample%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-25",
      "references": [
        "http://www.atmos-chem-phys.net/16/7135/2016/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data collected in Ostrava, Czech Republic and applied in a source apportionment model",
      "description": "These data support a published journal paper described as follows:\r\nA 14-week investigation during a warm and cold seasons was conducted to improve understanding of air\r\npollution sources that might be impacting air quality in Ostrava, the Czech Republic. Fine particulate\r\nmatter (PM2.5) samples were collected in consecutive 12-h day and night increments during spring and\r\nfall 2012 sampling campaigns. Sampling sites were strategically located to evaluate conditions in close\r\nproximity of a large steel works industrial complex, as well as away from direct influence of the\r\nindustrial complex. These samples were analyzed for metals and other elements, organic and elemental\r\n(black) carbon, and polycyclic aromatic hydrocarbons (PAHs). The PM2.5 samples were supplemented\r\nwith pollutant gases and meteorological parameters. We applied the EPA PMF v5.1 model with uncertainty estimate features to the Ostrava data set. Using the model's bootstrapping procedure and other considerations, six factors were determined to provide the optimum solution. Each model run consisted of 100 iterations to ensure that the solution represents a global minimum. The resulting factors were identified as representing coal (power plants), mixed Cl, crustal, industrial 1 (alkali metals and PAHs), industrial 2 (transition metals), and home heat/transportation. The home heating source is thought to be largely domestic boilers burning low quality fuels such as lignite, wood, and domestic waste.\r\nTransportation-related combustion emissions could not be resolved as a separate factor. Uncertainty\r\nestimates support the general conclusion that the factors identified as representing coal power and home\r\nheat/transportation dominate the percent contribution to fine mass. Apportionment of regulated individual\r\nspecies is also presented.\r\n\r\nTwo data files are provided to support the dataset. One provides the input data (concentrations and uncertainties) as used in the PMF source apportionment model. The other provides the processed data that directly support all quantitative information presented in the journal paper main text and supporting material. \n\nThis dataset is associated with the following publication:\nConner , T., L. Černikovský, J. Novák, and R. Williams. Source apportionment with uncertainty estimates of fine particulate matter in Ostrava, Czech Republic using Positive Matrix Factorization.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 7(3): 503-512, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-n8q2-159",
      "keyword": [
        "Czech Republic",
        "steel manufacturing",
        "home heating",
        "source apportionment",
        "Fine Particulate Matter"
      ],
      "contactPoint": {
        "fn": "Teri Conner",
        "hasEmail": "mailto:conner.teri@epa.gov"
      },
      "distribution": [
        {
          "title": "Ostrava PMF model input data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/159/Ostrava%20PMF%20model%20input%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ostrava PMF dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/159/Ostrava%20PMF%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-17",
      "references": [
        "https://doi.org/10.1016/j.apr.2015.12.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2014-12-19_PASSIVE NO2 STUDY_final data_kovalcik.xlsx",
      "description": "Nitrogen dioxide (NO2) concentrations relative to near road sites in Research Triangle area of North Carolina. \n\nThis dataset is associated with the following publication:\nSmith, L., S. Mukerjee , K. Kovalcik , E. Sams , C. Stallings , E. Hudgens , J. Scott , T. Krantz , and L. Neas. Near-road measurements for nitrogen dioxide and its association with traffic exposure zones.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 6: 1082-1086, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-j3vb-106",
      "keyword": [
        "air pollution",
        "Passive Samplers",
        "traffic"
      ],
      "contactPoint": {
        "fn": "Shaibal Mukerjee",
        "hasEmail": "mailto:mukerjee.shaibal@epa.gov"
      },
      "distribution": [
        {
          "title": "2014-12-19_PASSIVE NO2 STUDY_final data_kovalcik.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/106/2014-12-19_PASSIVE%20NO2%20STUDY_final%20data_kovalcik.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-12-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Columbia University Puerto Rico Study.",
      "description": "Lifetime childhood asthma prevalence (LCAP) percentages in Puerto Rico Health\nRegions (HR) are substantially higher in northeastern vs. southwestern HR. Higher\naverage relative humidity in the northeast might promote mold and mite exposures\nand possibly asthma prevalence. To test this hypothesis, mold contamination, Environmental\nRelative Moldiness Index (ERMI) values were measured in floor dust\n(n = 26) and dust mite allergen concentrations in bed dust (n = 14). For this analysis,\nthe eight HR were divided into those with LCAP > 30% (n = 3) and < 30% (n = 5).\nThe average ERMI value was significantly greater (Wilcoxon Rank Sum, p < 0.001)\nin high than in low LCAP HR (14.5 vs. 9.3). The dust mite antigens Der p 1, Der f\n1, and Blo t 5 were detected in 90% of bed samples, but the concentrations were\nnot significantly different in high vs. low LCAP HR. Mold exposures might partially\nexplain the differences in LCAP HR in Puerto Rico. This dataset is not publicly accessible because: This was a study conducted by Columbia University researchers. It can be accessed through the following means: Contact:\r\nMatthew S. Perzanowski, Ph.D. \r\nAssociate Professor \r\nDepartment of Environmental Health Sciences \r\nMailman School of Public Health \r\nColumbia University \r\n(212) 305-3465. Format: This study was conducted by Columbia University.  There is no dataset format. \n\nThis dataset is associated with the following publication:\nVesper , S., H. Choi, M. Perzanowski, L. Acosta, A. Divjan, B. Bolanos-Rosero, F. Rivera-Mariani, and G. Chew. Mold populations and dust mite allergen concentrations in house dust samples from across Puerto Rico.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke,  UK, 26(2): 198-207, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-cc2r-155",
      "keyword": [
        "mold",
        "dust mites",
        "ERMI"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-01",
      "references": [
        "https://doi.org/10.1080/09603123.2015.1089531"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Relationship between Environmental Relative Moldiness Index Values and Asthma ",
      "description": "No data generated. This dataset is not publicly accessible because: There was no new data generated. It can be accessed through the following means: None available. Format: Since this was a review article, no new data was generated. \n\nThis dataset is associated with the following publication:\nVesper , S. The relationship between environmental relative moldiness index values and asthma.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Urban & Fischer Verlag Jena, Jena,  GERMANY, 219(1): 233-238, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-b2rn-287",
      "keyword": [
        "mold",
        "ERMI"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2016.01.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A list of tables summarizing various Cmap analysis, from which the final tables in the manuscript are based on",
      "description": "Various Cmap analyses within and across species and microarray platforms conducted and summarized to generate the tables in the publication. \n\nThis dataset is associated with the following publication:\nWang , R., A. Biales , N. Garcia-Reyero, E. Perkins, D. Villeneuve, G. Ankley, and D. Bencic. Fish Connectivity Mapping: Linking Chemical Stressors by Their MOA-Driven Transcriptomic Profiles.   BMC Genomics. BioMed Central Ltd, London,  UK, 17(84): 1-20, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-s1s7-135",
      "keyword": [
        "Connectivity mapping",
        "fish",
        "Gene expression profiles",
        "ecotoxicology",
        "toxicology",
        "chemicals",
        "exposure",
        "mechanisms of action"
      ],
      "contactPoint": {
        "fn": "Ronglin Wang",
        "hasEmail": "mailto:wang.rong-lin@epa.gov"
      },
      "distribution": [
        {
          "title": "Cmap summary 02132015.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/135/Cmap%20summary%2002132015.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-30",
      "references": [
        "https://doi.org/10.1186/s12864-016-2406-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/135/documents/Cmap%20summary%2002132015.dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Cytoscape file of chemical networks",
      "description": "The maximum connectivity scores of pairwise chemical conditions summarized from Cmap results in a file with Cytoscape format (http://www.cytoscape.org/).  The figures in the publication were generated from this file.  The Cytoscape file is formed from importing the eight text file therein. \n\nThis dataset is associated with the following publication:\nWang , R., A. Biales , N. Garcia-Reyero, E. Perkins, D. Villeneuve, G. Ankley, and D. Bencic. Fish Connectivity Mapping: Linking Chemical Stressors by Their MOA-Driven Transcriptomic Profiles.   BMC Genomics. BioMed Central Ltd, London,  UK, 17(84): 1-20, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-s1s7-137",
      "keyword": [
        "networks",
        "fish",
        "Gene expression profiles",
        "Connectivity mapping",
        "ecotoxicology",
        "toxicology",
        "chemicals",
        "exposure",
        "mechanisms of action"
      ],
      "contactPoint": {
        "fn": "Ronglin Wang",
        "hasEmail": "mailto:wang.rong-lin@epa.gov"
      },
      "distribution": [
        {
          "title": "CmapCytoScapeFigures.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/137/CmapCytoScapeFigures.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-03",
      "references": [
        "https://doi.org/10.1186/s12864-016-2406-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/137/documents/CmapCytoscapeFigures.dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Fish connectivity mapping intermediate data files and outputs",
      "description": "RLWrankedLists.tar.gz:These lists linked to various chemical treatment conditions serve as the target collection of Cmap.  Probes of the entire microarray are sorted based on their log fold changes over control conditions.  RLWsignatures2015.tar.gz: These signatures linked to various chemical treatment conditions serve as queries in Cmap. This dataset is not publicly accessible because: too big in size. It can be accessed through the following means: located in the High Performance Computing archive /asm/FISHTOX/TAR_BALLs/fishCmap.tar.gz. Format: Fish connectivity mapping involves working with a large amount of data.  Of primary interest to other researchers and general public are probably the rank-ordered gene lists and gene signatures.  The former acts as a database-like target while the latter as queries.  Along with fish Cmap outputs, they are contained in the file fishCmap.tar.gz as RLWrankedLists.tar.gz and RLWsignatures2015.tar.gz. \n\nThis dataset is associated with the following publication:\nWang , R., A. Biales , N. Garcia-Reyero, E. Perkins, D. Villeneuve, G. Ankley, and D. Bencic. Fish Connectivity Mapping: Linking Chemical Stressors by Their MOA-Driven Transcriptomic Profiles.   BMC Genomics. BioMed Central Ltd, London,  UK, 17(84): 1-20, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-s1s7-138",
      "keyword": [
        "gene list",
        "gene signatures",
        "fish",
        "Gene expression profiles",
        "Connectivity mapping",
        "ecotoxicology",
        "toxicology",
        "chemicals",
        "exposure",
        "mechanisms of action"
      ],
      "contactPoint": {
        "fn": "Ronglin Wang",
        "hasEmail": "mailto:wang.rong-lin@epa.gov"
      },
      "distribution": [],
      "modified": "2015-11-09",
      "references": [
        "https://doi.org/10.1186/s12864-016-2406-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/138/documents/CmapGeneListsSignatures.dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Optimization and evaluation of a method to detect adenoviruses in river water",
      "description": "This dataset includes the recoveries of spiked adenovirus through various stages of experimental optimization procedures. \n\nThis dataset is associated with the following publication:\nMcMinn , B., A. Korajkic, and A. Grimm. Optimization and evaluation of a method to detect adenoviruses in river water.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 231(1): 8-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-9060-315",
      "keyword": [
        "adenovirus",
        "celite",
        "secondary concentration",
        "DNA extraction"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubDataSheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/315/ScienceHubDataSheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2016.02.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lumbriculus variegatus loading study",
      "description": "Results from sediment bioaccumulation tests with Lumbriculus variegatus with evaluating the effects of organism loading density. \n\nThis dataset is associated with the following publication:\nBurkhard , L., D.  Hubin-Barrows, N. Billa, T. Highland , R. Hockett , D. Mount , and T. Norberg-King. Sediment Bioaccumulation Test with Lumbriculus variegatus: Effects of Organism Loading.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 71(7): 70-77, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-79cv-67",
      "keyword": [
        "Lumbriculus variegatus",
        "bioaccumulation",
        "sediment",
        "chemical uptake",
        "bioavailability",
        "sediment testing",
        "fish dietary studies"
      ],
      "contactPoint": {
        "fn": "Lawrence Burkhard",
        "hasEmail": "mailto:burkhard.lawrence@epa.gov"
      },
      "distribution": [
        {
          "title": "BurkhardLawrence_Lumbriculus_Loading_Studies.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/67/BurkhardLawrence_Lumbriculus_Loading_Studies.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-15",
      "references": [
        "https://doi.org/10.1007/s00244-016-0284-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Larval fathead minnow swim bladder inflation following exposure to 2-mercaptobenzothiazole ",
      "description": "In this study, a hypothesized adverse outcome pathway (AOP) linking inhibition of thyroid peroxidase (TPO) activity to impaired swim bladder inflation was investigated in experiments in which fathead minnows were exposed to the TPO inhibitor 2-mercaptobenzothiazole (MBT). Results show that anterior, but not posterior, swim bladder inflation was impacted by exposure to MBT supporting the development of an AOP linking a specific thyroid-disrupting molecular initiating event to a significant phenotypic outcome. Results also suggest an alternative short-term in vivo test with larval fathead minnows that could be used to screen chemicals for thyroid disrupting activity and possibly distinguish thyroid disrupting modes of action. The dataset contains information on TPO expression, thyroid hormone concentrations, and swim bladder inflation measurements in larval fathead minnows. \n\nThis dataset is associated with the following publication:\nNelson, K., A. Schroeder , G. Ankley , B. Blackwell, C. Blanksma, S. Degitz , K. Jensen , R. Johnson , M. Kahl , D. Knapen, P. Kosian , R. Milsk, E. Randolph, T. Saari, E. Stinckens, L.  Vergauwen, and D. Villeneuve. Impaired anterior swim bladder inflation following exposure to the thyroid peroxidase inhibitor  2-Mercaptobenzothiazole  Part I: Fathead minnow.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 173: 192-203, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-hhmw-340",
      "keyword": [
        "adverse outcome pathway",
        "endocrine disruption",
        "swim bladder",
        "fish early lifestage",
        "cyprinid"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Nelson et al 2016 Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/340/Nelson%20et%20al%202016%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2015.12.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of exposure to wastewater treatment plant effluent on fathead minnow reproduction",
      "description": "Adult fathead minnows were exposed to dilutions of a historically estrogenic wastewater treatment plant effluent in a 21-d reproduction study. This dataset is comprised of a variety of endpoints representing key events along adverse outcome pathways linking estrogen receptor activation and other molecular initiating events to reproductive impairment. This study demonstrates the value of using an integrative approach that encompasses analytical chemistry, in vitro bioassays, and in vivo apical and pathway-based approaches with endpoints spanning from molecular- (e.g., gene expression) to organismal- (e.g., reproduction) levels of biological organization to help infer causal relationships between chemistry and potential effects on reproduction. \n\nThis dataset is associated with the following publication:\nCavallin , J., K. Jensen , M. Kahl , D. Villeneuve , K. Lee, A. Schroeder , J. Mayasich, E. Eid, K. Nelson, R. Milsk, B. Blackwell, J. Berninger , C. LaLone, C. Blanksma, T. Jicha , C. Elonen , R. Johnson , and G. Ankley. Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(3): 702-716, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-3fff-346",
      "keyword": [
        "wastewater treatment plant",
        "fish",
        "reproduction",
        "estrogens"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "Cavallin et al 2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/346/Cavallin%20et%20al%202016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-16",
      "references": [
        "https://doi.org/10.1002/etc.3228"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nanomaterials - pollutant interaction",
      "description": "Concentrations of different polyaromatic hydrocarbons in water before and after interaction with nanomaterials. The results show the capacity of engineer nanomaterials for adsorbing different organic pollutants. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., A. Zhao, C. Han, B. Hann, and H. Grecsek. Interaction of engineered nanomaterials with hydrophobic organic pollutants..   Journal of Nanotechnology. Hindawi Publishing Corporation, New York, NY, USA, 27(28): 284003, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-bg7k-303",
      "keyword": [
        "hydrophobic pollutant adsorption",
        "engineered nanomaterials",
        "adsorption TGA/GC/MS",
        "hydrophobic pollutants",
        "ENM–pollutant adsorption",
        "partitioning coefficient",
        "TGA/",
        "Engineered nanoparticles (NP)",
        "TGA/ GC/MS"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "NP_Pesticide_Interaction.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/303/NP_Pesticide_Interaction.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PAH Analysis by GC MS_12_13_2009.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/303/PAH%20Analysis%20by%20GC%20MS_12_13_2009.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of GCMS Analysis Results N10 for Naphthalene Knm Test.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/303/Copy%20of%20GCMS%20Analysis%20Results%20N10%20for%20Naphthalene%20Knm%20Test.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of GCMS Analysis Results N11 for Naphthalene Knm Test (002).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/303/Copy%20of%20GCMS%20Analysis%20Results%20N11%20for%20Naphthalene%20Knm%20Test%20%28002%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nanoparticle-organic pollutant interaction dataset",
      "description": "Dataset presents concentrations of organic pollutants, such as polyaromatic hydrocarbon compounds, in water samples. Water samples of known volume and concentration were allowed to equilibrate with known mass of nanoparticles. The mixture was then ultracentrifuged and sampled for analysis. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., A. Zhao, C. Han, B. Hann, and H. Grecsek. Interaction of engineered nanomaterials with hydrophobic organic pollutants..   Journal of Nanotechnology. Hindawi Publishing Corporation, New York, NY, USA, 27(28): 284003, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-bg7k-304",
      "keyword": [
        "hydrophobic pollutant adsorption",
        "polyaromatic hydrocarbon",
        "Engineered nanoparticles (NP)",
        "hydrophobic pollutants",
        "ENM–pollutant adsorption",
        "partitioning coefficient",
        "TGA/",
        "TGA/ GC/MS"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of GCMS Analysis Results N10 for Naphthalene Knm Test.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/304/Copy%20of%20GCMS%20Analysis%20Results%20N10%20for%20Naphthalene%20Knm%20Test.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of GCMS Analysis Results N11 for Naphthalene Knm Test (002).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/304/Copy%20of%20GCMS%20Analysis%20Results%20N11%20for%20Naphthalene%20Knm%20Test%20%28002%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NP_Pesticide_Interaction.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/304/NP_Pesticide_Interaction.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of GCMS Analysis Results N8 for Naphthalene Kow Test.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/304/Copy%20of%20GCMS%20Analysis%20Results%20N8%20for%20Naphthalene%20Kow%20Test.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Oxidative esterification via photocatalytic C-H activation",
      "description": "Direct oxidative esterification of alcohol via photocatalytic C–H activation has been developed using VO@g-C3N4 catalyst; an expeditious esterification of alcohols occurs under neutral conditions using visible light as the source of energy. \n\nThis dataset is associated with the following publication:\nVarma , R., S. Verma, R.B.N. Baig, C. Han, and M. Nadagouda. Oxidative esterification via photocatalytic C-H activation.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 18: 251-254, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-308",
      "keyword": [
        "Oxidative esterification",
        "Photocatalytic C-H activation",
        "Visible light",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/c5/gc/c5gc02025e/c5gc02025e1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/c5/gc/c5gc02025e/c5gc02025e1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-22",
      "references": [
        "https://doi.org/10.1039/c5gc02025e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Selective Oxidation of Alcohols Using Photoactive VO@g‑C3N4",
      "description": "A photoactive VO@g-C3N4 catalyst has been developed for the selective oxidation of alcohols to the corresponding aldehydes and ketones. The visible light mediated activity of the catalyst could be attributed to photoactive graphitic carbon nitrides surface. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B. Nasir Baig, M. Nadagouda , and R. Varma. Selective oxidation of alcohols using photoactive VO@g-C3N4..   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(3): 1094-1098, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-318",
      "keyword": [
        "Photocatalyst",
        "Graphitic carbon nitride",
        "Selective oxidation",
        "Visible light",
        "Vanadium oxide",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/3727291/sc5b01163_si_001.pdf",
          "accessURL": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/3727291/sc5b01163_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-12",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.5b01163"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Magnetically separable Fe3O4@DOPA–Pd: a heterogeneous catalyst for aqueous Heck reaction",
      "description": "Magnetically separable Fe3O4@DOPA–Pd catalyst has been synthesized via anchoring of palladium over dopamine-coated magnetite via co-ordinate interaction\r\nand the catalyst is utilized for expeditious Heck coupling in aqueous media. \n\nThis dataset is associated with the following publication:\nBaig, N., J. Leazer , and R. Varma. Magnetically Separable Fe3O4@DOPA-Pd: A Heterogeneous Catalyst for Aqueous Heck Reaction.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 17(7): 2073-2077, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-qc05-307",
      "keyword": [
        "Magnetically separable",
        "Heck reaction",
        "heterogeneous catalyst"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://link.springer.com/article/10.1007%2Fs10098-015-0914-0",
          "accessURL": "https://link.springer.com/article/10.1007%2Fs10098-015-0914-0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-25",
      "references": [
        "https://doi.org/10.1007/s10098-015-0914-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Visible light mediated upgrading of biomass to biofuel",
      "description": "AgPd@g-C3N4, comprising heterogenized Ag and Pd\r\nnanoparticles on graphitic carbon nitride, g-C3N4, has been\r\nsynthesized and used for the upgrading of biofuel as exemplified\r\nby the hydrodeoxygenation of lignin-derived vanillin under\r\nphotochemical conditions using formic acid. The bimetallic\r\nframework is found to be highly active due to the synergistic\r\neffects of Ag and Pd with the graphitic carbon nitride support and\r\ntheir mutual interaction. \n\nThis dataset is associated with the following publication:\nVarma , R., M. Nadagouda , S. Verma, and R.B. Nasir Baig. Visible light mediated upgrading of biomass to biofuel.   Energy & Environmental Science. RSC Publishing, Cambridge,  UK, 18(5): 1327-1333, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-306",
      "keyword": [
        "Biomass upgrade",
        "Biofuel production",
        "Visible light",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/c5/gc/c5gc02951a/c5gc02951a1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/c5/gc/c5gc02951a/c5gc02951a1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-29",
      "references": [
        "https://doi.org/10.1039/c5gc02951a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A photoactive bimetallic framework for direct aminoformylation of nitroarenes",
      "description": "A bimetallic catalyst, AgPd@g-C3N4, synthesized by reducing silver and palladium salts over graphitic carbon nitride (g-C3N4), enables the concerted reductive formylation of aromatic nitro compounds under photo-chemical conditions using formic acid, which serves the dual role of a hydrogen source and a formylating agent. \n\nThis dataset is associated with the following publication:\nBaig, R.B.N., S. Verma, M. Nadagouda , and R. Varma. A photoactive bimetallic framework for direct aminoformylation of nitroarenes.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 18(4): 1019-1022, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-321",
      "keyword": [
        "Aminoformylation",
        "Nitroarenes",
        "Bimetallic framework",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/c5/gc/c5gc02799c/c5gc02799c1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/c5/gc/c5gc02799c/c5gc02799c1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-16",
      "references": [
        "https://doi.org/10.1039/c5gc02799c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainable Strategy Utilizing Biomass: Visible-Light-Mediated Synthesis of gamma-Valerolactone",
      "description": "A novel sustainable approach to valued g-valerolactone was investigated.\r\nThis approach exploits the visible-light-mediated conversion of biomass-derived levulinic acid by using a bimetallic catalyst on a graphitic carbon nitride, AgPd@g-C3N4. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, M. Nadagouda , and R. Varma. Sustainable Strategy Utilizing Biomass: Visible-Light-Mediated Synthesis of γ-Valerolactone.   ChemCatChem. Wiley-VCH, WEINHEIM,  GERMANY, 8(4): 872, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-322",
      "keyword": [
        "biomass · heterogeneous catalysis · levulinic acid ·",
        "biomass",
        "Heterogeneous catalysis",
        "Levulinic acid",
        "Valerolactone",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/cctc.201501352",
          "accessURL": "https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/cctc.201501352",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-06",
      "references": [
        "https://doi.org/10.1002/cctc.201501352"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerobic oxidation of alcohols in visible light on Pd-grafted Ti cluster",
      "description": "The titanium cluster with the reduced band gap has been synthesized having the palladium nanoparticles over the surface, which not only binds to the atmospheric oxygen but also catalyzes the oxidation of alcohols under visible light. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, M. Nadagouda, and R. Varma. Aerobic oxidation of alcohols in visible light on Pd-grafted Ti cluster.   TETRAHEDRON. Elsevier Science Ltd, New York, NY, USA, 73(38): 5577-5580, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-324",
      "keyword": [
        "Titanium cluster",
        "Heterogeneous catalysis",
        "Aerial oxidation",
        "Palladium nanoparticle",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0040402016307281",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0040402016307281",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-09",
      "references": [
        "https://doi.org/10.1016/j.tet.2016.07.070"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Photocatalytic C−H Activation of Hydrocarbons over VO@g‑C3N4",
      "description": "A highly selective and sustainable method has been developed for the oxidation of methyl arenes and their analogues. The VO@g-C3N4 catalyst is very efficient in the C−H activation and oxygen insertion reaction resulting in formation of the corresponding carbonyl compounds and phenols. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B. Nasir Baig, M. Nadagouda , and R. Varma. Photocatalytic C¿H Activation of Hydrocarbons over VO@g¿C3N4.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(4): 2333-2336, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-319",
      "keyword": [
        "C−H activation",
        "Graphitic carbon nitride",
        "Photocatalyst",
        "Vanadium oxide",
        "Heterogeneous catalysis",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/4817677/sc6b00006_si_001.pdf",
          "accessURL": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/4817677/sc6b00006_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-08",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.6b00006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Magnetic Fe@g‑C3N4: A Photoactive Catalyst for the Hydrogenation of Alkenes and Alkynes",
      "description": "A photoactive catalyst, Fe@g-C3N4, has been developed for the hydrogenation of alkenes and alkynes using hydrazine hydrate as a source of hydrogen. The magnetically separable Fe@g-C3N4 eliminates the use of high pressure hydrogenation, and the reaction can be accomplished using visible light without the need for external sources of energy. \n\nThis dataset is associated with the following publication:\nBaig, N., S. Verma, R. Varma , and M. Nadagouda. Magnetic Fe@g-C3N4: A Photoactive Catalyst for the Hydrogenation of Alkenes and Alkynes.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(3): 1661-1664, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-320",
      "keyword": [
        "Photocatalysis",
        "Hydrogenation",
        "Nanoferrite",
        "Graphitic carbon nitride",
        "Heterogeneous catalysis",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/3709144/sc5b01610_si_001.pdf",
          "accessURL": "https://s3-eu-west-1.amazonaws.com/pstorage-acs-6854636/3709144/sc5b01610_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-12",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.5b01610"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Titanium-based zeolitic imidazolate framework for chemical fixation of carbon dioxide",
      "description": "A titanium-based zeolitic imidazolate framework (Ti-ZIF) with high surface area and porous morphology has been synthesized and its application as a recyclable catalyst is demonstrated in the synthesis of cyclic carbonate via cycloaddition of carbon dioxide and epoxide in aqueous media. \n\nThis dataset is associated with the following publication:\nVarma, R., S. Verma, R.B.N. Baig, and M. Nadagouda. Titanium-based zeolitic imidazolate framework for chemical fixation of carbon dioxide.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 18: 4855-4858, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-37q0-323",
      "keyword": [
        "zeolitic imidazolate framework",
        "Chemical fixation",
        "carbon dioxide",
        "Earth-abundant materials",
        "Sustainable materials management"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/c6/gc/c6gc01648k/c6gc01648k1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/c6/gc/c6gc01648k/c6gc01648k1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-12",
      "references": [
        "https://doi.org/10.1039/c6gc01648k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Industrial Ecology Approach to MSW Methodology Data Set",
      "description": "U.S. municipal solid waste data for the year 2012. \n\nThis dataset is associated with the following publication:\nSmith , R., D. Sengupta, S. Takkellapati , and C. Lee. An industrial ecology approach to municipal solid wastemanagement: I. Methodology.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 104: 311-316, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-wq05-109",
      "keyword": [
        "Industrial ecology",
        "MSW",
        "energy",
        "sustainability"
      ],
      "contactPoint": {
        "fn": "Raymond Smith",
        "hasEmail": "mailto:smith.raymond@epa.gov"
      },
      "distribution": [
        {
          "title": "IndustrialEcologyApproachMSW Methodology DataSet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/109/IndustrialEcologyApproachMSW%20Methodology%20DataSet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-23",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2015.04.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "St. Louis River water quality assessment 2012, 2013",
      "description": "St. Louis River Area of Concern surface water nutrient (TP, TN, NOx-N, NH4-N), dissolved oxygen, and particulate (TSS, chlorophyll a) concentration data from 2012 and 2013 reported in Bellinger et al. 2016, Journal of Great Lakes Research 42:28-38. \n\nThis dataset is associated with the following publication:\nBellinger, B., J. Hoffman , T. Angradi , D. Bolgrien , M. Starry, C. Elonen , T. Jicha , L. Lehto, L. Seifert-Monson, M. Pearson , L. Anderson, and B. Hill. Water quality in the St. Louis River Area of Concern (AOC), Lake Superior: An historical perspective with assessment implications.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(1): 28-38, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-msbw-343",
      "keyword": [
        "nitrogen",
        "phosphorus",
        "total suspended solids",
        "chlorophyll a",
        "dissolved oxygen",
        "ecosystem services",
        "Area of Concern",
        "water quality",
        "monitoring and assessment",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-msbw_Dataset_20160916.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/343/HoffmanJoel_A-msbw_Dataset_20160916.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-08-01",
      "references": [
        "https://doi.org/10.1016/j.jglr.2015.11.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SEQUENCING AND DE NOVO DRAFT ASSEMBLIES OF A FATHEAD MINNOW (Pimpehales promelas) reference genome",
      "description": "The dataset provides the URLs for accessing the genome sequence data and two draft assemblies as well as fathead minnow genotyping data associated with estimating the heterozygosity of the in-bred line. \n\nThis dataset is associated with the following publication:\nBurns, F., L. Cogburn, G. Ankley , D. Villeneuve , E. Waits , Y. Chang, V. Llaca, S. Deschamps, R. Jackson, and R. Hoke. Sequencing and De novo Draft Assemblies of the Fathead Minnow (Pimphales promelas)Reference Genome.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(1): 212-217, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-thtw-349",
      "keyword": [
        "genome",
        "pathfinder innovation project",
        "adverse outcome pathway",
        "computational toxicology",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/nuccore/JNCD00000000",
          "accessURL": "https://www.ncbi.nlm.nih.gov/nuccore/JNCD00000000",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/assembly?LinkName=nuccore_assembly&from_uid=650319607",
          "accessURL": "https://www.ncbi.nlm.nih.gov/assembly?LinkName=nuccore_assembly&from_uid=650319607",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/assembly/GCA_000700965.1/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/assembly/GCA_000700965.1/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FHM Diversity Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/349/FHM%20Diversity%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-06-10",
      "references": [
        "https://doi.org/10.1002/etc.3186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Farraj_NO2-O3 Sequential exposure study_All data",
      "description": "Cardiovascular Physiologic and Systemic Responses to Sequential Exposure to Nitrogen Dioxide and Ozone in Rats. \n\nThis dataset is associated with the following publication:\nFarraj , A., F. Malik, N. Coates , L. Walsh , D. Winsett , D. Terrell , L. Thompson, W. Cascio , and M. Hazari. Morning NO2 Exposure Sensitizes Hypertensive Rats to the Cardiovascular Effects of Same Day O3 Exposure in the Afternoon.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(4): 170-179, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-3xsn-235",
      "keyword": [
        "Ozone",
        "nitrogen dioxide",
        "air pollution",
        "blood pressure",
        "electrocardiogram",
        "heart rate",
        "contractility",
        "heart rate variability",
        "Rats",
        "morning",
        "afternoon",
        "priming effects",
        "sequential",
        "autonomic nervous system",
        "cardiovascular"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "AF13_NO2-O3 Sequential exposure study_All data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/235/AF13_NO2-O3%20Sequential%20exposure%20study_All%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-24",
      "references": [
        "https://doi.org/10.3109/08958378.2016.1148088"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Land use and beach closure 2004-2013 in the United States",
      "description": "The dataset contains the beach closure data and land use information around each beach in 2006 and 2011 in the United States. The original data are created by EPA and USGS and publicly available (the links are provided). \n\nThis dataset is associated with the following publication:\nWu, J., and L. Jackson. Association of land use and its change with beach closure in the United States, 2004-2013.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 571: 67-76, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-ns28-90",
      "keyword": [
        "The number of beach closure",
        "land use",
        "hydrologic unit",
        "2006",
        "2011",
        "United States",
        "2 km",
        "5 km",
        "10 km",
        "beach water quality",
        "land cover",
        "land use change",
        "urbanization",
        "ecosystem health"
      ],
      "contactPoint": {
        "fn": "Jianyong Wu",
        "hasEmail": "mailto:wu.jianyong@epa.gov"
      },
      "distribution": [
        {
          "title": "Beach closure and land use dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/90/Beach%20closure%20and%20land%20use%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://watersgeo.epa.gov/beacon2/",
          "accessURL": "https://watersgeo.epa.gov/beacon2/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nhd.usgs.gov/data.html",
          "accessURL": "https://nhd.usgs.gov/data.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.mrlc.gov/data",
          "accessURL": "https://www.mrlc.gov/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-31",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.07.116"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/90/documents/Data%20dictonary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "ORD-017311_Data_Brown_DermPerm.xlsx",
      "description": "List of chemicals used for model evaluation, their MW, log KOW, and references for the original data source(s), the review(s) the data was collected from, and reference for log KOW as cited in the reviews. [Table SI-3 of research article]. \n\nThis dataset is associated with the following publication:\nBrown, T., J. Armitage, P. Egeghy, I. Kircanski, and J. Arnot. Dermal permeation data and models for the prioritization and screening-level exposure assessment of organic chemicals.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 94: 424-435, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-9s4x-288",
      "keyword": [
        "octanol-water partition coefficient",
        "molecular weight",
        "Human Exposure Assessment",
        "Dermal Permeation",
        "Quantitative Structure-Activity Relationship",
        "Skin Permeability Coefficient",
        "Permeation Database",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "Peter Egeghy",
        "hasEmail": "mailto:egeghy.peter@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-017311_Data_Brown_DermPerm.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/288/ORD-017311_Data_Brown_DermPerm.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-20",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0160412016302094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling Tribal Exposures to Methyl Mercury from Fish Consumption ",
      "description": "data is from NHANES study and EPA fish intake and HG concentration in fish tissue. \n\nThis dataset is associated with the following publication:\nXue , J., V. Zartarian , B. Mintz , M. Weber , K. Bailey , and A. Geller. Modeling tribal exposures to methyl mercury from fish consumption.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 533: 102-109, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-5dv8-206",
      "keyword": [
        "mercury",
        "tribal",
        "fish consumption",
        "exposures",
        "SHEDS-Dietary"
      ],
      "contactPoint": {
        "fn": "Jianping Xue",
        "hasEmail": "mailto:xue.jianping@epa.gov"
      },
      "distribution": [
        {
          "title": "tribal fish HG paper data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/206/tribal%20fish%20HG%20paper%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-03-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2015.06.070"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA True NO2 ground site measurements – multiple sites, TCEQ ground site measurements of meteorological and air pollution parameters – multiple sites ,GeoTASO NO2 Vertical Column ",
      "description": "EPA True NO2 ground site measurements – multiple sites - http://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013; TCEQ ground site measurements of meteorological and air pollution parameters – multiple sites - http://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013; GeoTASO NO2 Vertical Column - http://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013?FALCON=1. \n\nThis dataset is associated with the following publication:\nNowlan, C., X. Lu, J. Leitch, K. Chance, G. González Abad, C. Lu, P. Zoogman, J. Cole, T. Delker, W. Good, F. Murcray, L. Ruppert, D. Soo, M. Follette-Cook, S. Janz, M. Kowalewski, C. Loughner, K. Pickering, J. Herman, M. Beaver, R. Long, J. Szykman, L. Judd, P. Kelley, W. Luke, X. Ren, and J. Al-Saadi. Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 9(6): 2647-2668, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-8pk8-342",
      "keyword": [
        "nitrogen dioxide",
        "column density",
        "air quality from space",
        "GeoTASO",
        "True NO2"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013?FALCON=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013?FALCON=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/discover-aq.tx-2013"
      },
      "accessRights": "public"
    },
    {
      "title": "GADEP Continuous PM2.5 mass concentration data, VIIRS Day Night Band SDR (SVDNB), MODIS Terra Level 2 water vapor profiles (infrared algorithm for atmospheric profiles for both day and night, NWS surface meteorological data",
      "description": "Data descriptions are provided at the following urls:\nGADEP Continuous PM2.5 mass concentration data - https://aqs.epa.gov/aqsweb/documents/data_mart_welcome.html\nhttps://www3.epa.gov/ttn/amtic/files/ambient/pm25/qa/QA-Handbook-Vol-II.pdf\n\nVIIRS Day Night Band SDR (SVDNB) http://www.class.ngdc.noaa.gov/saa/products/search?datatype_family=VIIRS_SDR\n\nMODIS Terra Level 2 water vapor profiles (infrared algorithm for atmospheric profiles for both day and night -MOD0&_L2;  http://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html \n\nNWS surface meteorological data - https://www.ncdc.noaa.gov/isd. \n\nThis dataset is associated with the following publication:\nWang, J., C. Aegerter, and J. Szykman. Potential Application of VIIRS Day/Night Band for Monitoring Nighttime Surface PM2.5 Air Quality From Space.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 124(0): 55-63, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-4j14-348",
      "keyword": [
        "Suomi National Polar-orbiting Partnership (S-NPP) satellite",
        "Visible Infrared Imaging Radiometer Suite (VIIRS)",
        "day-night band (DNB)",
        "particulate matter (PM)",
        "air quality monitoring at night"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://aqs.epa.gov/aqsweb/documents/data_mart_welcome.html",
          "accessURL": "https://aqs.epa.gov/aqsweb/documents/data_mart_welcome.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html",
          "accessURL": "https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncdc.noaa.gov/isd",
          "accessURL": "https://www.ncdc.noaa.gov/isd",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://eogdata.mines.edu/products/vnl/",
          "accessURL": "https://eogdata.mines.edu/products/vnl/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hance_WestForkSmithRiver_flasher_location_data",
      "description": "This entry contains two files.  The first file, \"Hance_WFSR Flasher locations.xlxs\", contains information describing the location of installed landmark 'flashers' consisting of 2\" square aluminum metal tags.  Each tag was inscribed with a number to aid field personnel in the identification of landmark location within the West Fork Smith River watershed in southern coastal Oregon. These landmarks were used to calculate stream distances between points in the watershed, including distances between tagging locations and detection events for tagged fish. \n\nA second file, named \"Hance_fish_detection_data1.xlxs\" contains information on the detection of tagged fish within the West Fork Smith River stream network.  The file includes both the location where the fish were tagged and where they were subsequently detected.  Together with the information in the WFSR flasher location dataset, these data allow estimation of the minimum distances and directions moved by juvenile coho salmon during the fall transition period.\n\nA map locator is provided in Figure 1 in the accompanying manuscript: Dalton J. Hance, Lisa M. Ganio, Kelly M. Burnett & Joseph L. Ebersole (2016) Basin-Scale Variation in the Spatial Pattern of Fall Movement of Juvenile Coho Salmon in the West Fork Smith River, Oregon, Transactions of the American Fisheries Society, 145:5, 1018-1034, DOI: 10.1080/00028487.2016.1194892\". \n\nThis dataset is associated with the following publication:\nHance, D.J., L.M. Ganio, K.M. Burnett, and J. Ebersole. Basin-Scale Variation in the Spatial Pattern of Fall Movement of Juvenile Coho Salmon in the West Fork Smith River, Oregon.   TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY. American Fisheries Society, Bethesda, MD, USA, 5(145): 1018-1034, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-fqzj-326",
      "keyword": [
        "Salmon"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Hance_WFSR flasher locations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/326/Hance_WFSR%20flasher%20locations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hance_fish_detection_data1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/326/Hance_fish_detection_data1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "https://doi.org/10.1080/00028487.2016.1194892"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Aquatic Resource Survey Rivers and Streams Data",
      "description": "Data are from 1,000 river and stream sites across the conterminous US where consistent biological, chemical, physical and watershed data were gathered.  The sites were selected using a probability survey design so that the results provide inferences to all perennial flowing waters in the lower 48 states. \n\nThis dataset is associated with the following publication:\nOmernik, J., S. Paulsen , M. Weber , and G. Griffith. Regional patterns of total nitrogen concentrations in the National Rivers and Streams Assessment.   JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society,    71(3): 167-181, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-7d84-341",
      "keyword": [
        "nutrients",
        "water quality",
        "Environmental sampling",
        "ecoregions",
        "nitrogen",
        "watersheds"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-01",
      "references": [
        "https://doi.org/10.2489/jswc.71.3.167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys"
      },
      "accessRights": "public"
    },
    {
      "title": "National Aquatic Resource Survey data",
      "description": "Surface water monitoring data from national aquatic surveys (lakes, streams, rivers). \n\nThis dataset is associated with the following publication:\nStoddard , J., J. Van Sickle, A. Herlihy, J. Brahney, S. Paulsen , D. Peck , R. Mitchell , and A. Pollard. Continental-scale increase in stream and lake phosphorus: Are oligotrophic systems disappearing in the U.S.?.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3409-3415, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-5x6h-325",
      "keyword": [
        "phosphorus",
        "lakes",
        "streams",
        "monitoring",
        "trends"
      ],
      "contactPoint": {
        "fn": "John Stoddard",
        "hasEmail": "mailto:stoddard.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "https://doi.org/10.1021/acs.est.5b05950"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrous Oxide flux measurements under various amendments",
      "description": "The dataset consists of measurements of soil nitrous oxide emissions from soils under three different amendments: glucose, cellulose, and manure. Data includes the four isotopomers of nitrous oxide (14N15N16O, 15N14N16O, 14N14N18O, 14N14N16O), and the site preference. \n\nThis dataset is associated with the following publication:\nChen , H., D. Williams , P. Deshmukh , F. Birgand, B. Maxwell, and J. Walker. Probing the Biological Sources of Soil N2O Emissions by Quantum Cascade Laser-Based 15N Isotopocule Analysis.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL. Soil Science Society of America, Madison, WI, USA, 100(0): 175-181, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-9p8p-365",
      "keyword": [
        "site preference",
        "nitrous oxide",
        "crop agriculture",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "David Williams",
        "hasEmail": "mailto:williams.davidj@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/365/Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Calibration_June.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/365/Calibration_June.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Calibration_May.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/365/Calibration_May.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/365/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": " Sorption of Radionuclides to Building Materials and its Removal Using Simple Wash Solutions",
      "description": "Data corresponding to the figures in the paper. \n\nThis dataset is associated with the following publication:\nKaminski, M., C. Mertz, L. Ortega, and N. Kivenas. Sorption of Radionuclides to Building Materials and its Removal Using Simple Wash Solutions.   Journal of Environmental Chemical Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS,  ., (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-t1gn-310",
      "keyword": [
        "Decontamination",
        "remediation",
        "radioactive contamination",
        "Ammonium",
        "Cesium-137",
        "Concrete",
        "dirty bomb",
        "radiological disperal device",
        "nuclear power plant"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for A-t1gn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/310/Data%20for%20A-t1gn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-01-01",
      "references": [
        "https://doi.org/10.1016/j.jece.2016.02.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wide-Area Decontamination in an Urban Environment after Radiological Dispersion: A Review and Perspectives",
      "description": "This is a literature review, so contains no original data. This dataset is not publicly accessible because: This paper is a literature review and contains no data. It can be accessed through the following means: This paper is a literature review and contains no data.  The paper contains the literature reviewed. Format: This paper is a literature review and contains no data. \n\nThis dataset is associated with the following publication:\nKaminski, M., S. Lee , and M. Magnuson. Wide-Area Decontamination in an Urban Environment after Radiological Dispersion:  A Review and Perspectives.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 305: 67-86, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-2ngh-311",
      "keyword": [
        "remediation",
        "nuclear fallout",
        "radioactive contamination",
        "Contamination",
        "Decontamination",
        "nuclear power plant"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2015-11-06",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2015.11.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pulsed and Continuous UV LED Reactor for Water Treatment",
      "description": "Numerical data represented in the figures which are graphs. \n\nThis dataset is associated with the following publication:\nSpencer, M., M. Miller, J. Richwine, K. Duckworth, L. Racz, M. Grimaila, M. Magnuson , S. Willison , and R. Phillips. Pulsed and Continuous UV LED Reactor for Water Treatment.   Aqua - Journal of Water Supply Research and Technology, International Water Supply Association (London, England). Blackwell Publishing, Malden, MA, USA,  1-75, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-sn0q-317",
      "keyword": [
        "Ultraviolet",
        "advanced oxidation process",
        "light emitting diode",
        "reactor design"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for sn0q.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/317/Dataset%20for%20sn0q.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical agent recoveries",
      "description": "Dataset shows the calculation of reported decontamination efficacies from the raw data (i.e., measured amount of chemical recovered from test coupons and positive controls) to actual decontamination efficacy for all chemicals and decontaminants. \n\nThis dataset is associated with the following publication:\nOudejans , L., J. O'Kelly, A. Evans, B. Barbara Wyrzykowska-Ceradini, A. Toauati, D. Tabor , and E. Snyder. Efficacy of decontaminant solutions for remediation on TICs on PPE materials.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA,  1-5, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8sfg-217",
      "keyword": [
        "Decontamination",
        "efficacy",
        "PPE",
        "decontamination line",
        "doffing",
        "toxic industrial chemical",
        "chemical warfare agent"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Recovery data PPE decon w TICs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/217/Recovery%20data%20PPE%20decon%20w%20TICs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diurnal Ensemble Surface Meteorology Statistics",
      "description": "Excel file containing diurnal ensemble statistics of 2-m temperature, 2-m mixing ratio and 10-m wind speed. This Excel file contains figures for Figure 2 in the paper and worksheets containing all statistics for the 14 members of the ensemble and a base simulation. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-369",
      "keyword": [
        "ensemble modeling",
        "surface meteorology statistics",
        "Figure 2",
        "2-m temperature",
        "2-m mixing ratio",
        "10-m wind speed",
        "RMSE",
        "NAM",
        "SREF",
        "probabilistic modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "ENS_WRF_Stats_June2011.V2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/369/ENS_WRF_Stats_June2011.V2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-11-15",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring",
      "description": "There is a growing need in the field of exposure science for monitoring methods that rapidly screen environmental media for suspect contaminants. Measurement and analysis platforms, based on high resolution mass spectrometry (HRMS), now exist to meet this need. Here we describe results of a study that links HRMS data with exposure predictions from the U.S. EPA's ExpoCast™ program and in vitro bioassay data from the U.S. interagency Tox21 consortium. Vacuum dust samples were collected from 56 households across the U.S. as part of the American Healthy Homes Survey (AHHS). Sample extracts were analyzed using liquid chromatography time-of-flight mass spectrometry (LC–TOF/MS) with electrospray ionization. On average, approximately 2000 molecular features were identified per sample (based on accurate mass) in negative ion mode, and 3000 in positive ion mode. Exact mass, isotope distribution, and isotope spacing were used to match molecular features with a unique listing of chemical formulas extracted from EPA's Distributed Structure-Searchable Toxicity (DSSTox) database. A total of 978 DSSTox formulas were consistent with the dust LC–TOF/molecular feature data (match score ≥ 90); these formulas mapped to 3228 possible chemicals in the database. Correct assignment of a unique chemical to a given formula required additional validation steps. Each suspect chemical was prioritized for follow-up confirmation using abundance and detection frequency results, along with exposure and bioactivity estimates from ExpoCast and Tox21, respectively. Chemicals with elevated exposure and/or toxicity potential were further examined using a mixture of 100 chemical standards. A total of 33 chemicals were confirmed present in the dust samples by formula and retention time match; nearly half of these do not appear to have been associated with house dust in the published literature. Chemical matches found in at least 10 of the 56 dust samples include Piperine, N,N-Diethyl-m-toluamide (DEET), Triclocarban, Diethyl phthalate (DEP), Propylparaben, Methylparaben, Tris(1,3-dichloro-2-propyl)phosphate (TDCPP), and Nicotine. This study demonstrates a novel suspect screening methodology to prioritize chemicals of interest for subsequent targeted analysis. The methods described here rely on strategic integration of available public resources and should be considered in future non-targeted and suspect screening assessments of environmental and biological media. \n\nThis dataset is associated with the following publication:\nRager, J.E., M. Strynar , S. Liang, R.L. McMahen, A. Richard , C.M. Grukle, J. Wambaugh , K. Isaacs , R. Judson , A. Williams , and J. Sobus. Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 88: 269-280, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-dbs5-231",
      "keyword": [
        "Non-targeted; Suspect screening; Exposome; ExpoCast; ToxCast; Dust"
      ],
      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0160412015301112",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0160412015301112",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-15",
      "references": [
        "https://doi.org/10.1016/j.envint.2015.12.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biomarker analysis of liver cells exposed to surfactant-wrapped and oxidized multi-walled carbon nanotubes (MWCNTs)",
      "description": "Carbon nanotubes (CNTs) have great potential in industrial, consumer, and mechanical applications, based partly on their unique structural, optical and electronic properties. CNTs are commonly oxidized or treated with surfactants to facilitate aqueous solution processing, and these CNT surface modifications also increase possible human and ecological exposures to nanoparticle-contaminated waters. To determine the exposure outcomes of oxidized and surfactant-wrapped multiwalled carbon nanotubes (MWCNTs) on biochemical processes, metabolomics based profiling of human liver cells (C3A) was utilized. Cells were exposed to 0, 10, or 100 ng/mL of MWCNTs for 24 and 48 hr. MWCNT particle size distribution, charge, and aggregation were monitored concurrently during exposures. Following MWCNT exposure, cellular metabolites were extracted, lyophilized, and buffered for 1H NMR analysis. Acquired spectra were subjected to both multivariate and univariate analysis to determine the consequences of nanotube exposure on the metabolite profile of C3A cells. Resulting scores plots illustrated temporal and dose-dependent metabolite responses to all MWCNTs tested. Loadings plots coupled with t-test filtered spectra identified metabolites of interest. XPS analysis revealed the presence of hydroxyl and carboxyl functionalities on both MWCNTs surfaces. Metal content analysis by ICP-AES indicated that the total mass concentration of the potentially toxic impurities in the exposure experiments were extremely low (i.e. [Ni] ≤ 2 × 10−10 g/mL). Preliminary data suggested that MWCNT exposure causes perturbations in biochemical processes involved in cellular oxidation as well as fluxes in amino acid metabolism and fatty acid synthesis. Dose-response trajectories were apparent and spectral peaks related to both dose and MWCNT dispersion methodologies were determined. Correlations of the significant changes in metabolites will help to identify potential biomarkers associated with carbonaceous nanoparticle exposure. \n\nThis dataset is associated with the following publication:\nHenderson, M., D. Bouchard, X. Chang, S. Al-Abed, and Q. Teng. Biomarker analysis of liver cells exposed to surfactant-wrapped and oxidized multi-walled carbon nanotubes (MWCNTs).   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 565: 777–786, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-j104-344",
      "keyword": [
        "carbon nanoparticles",
        "carbon nanotubes",
        "biomarker profiling",
        "metabolomics",
        "ecotoxicity"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "ohmwntc3a24hr.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/344/ohmwntc3a24hr.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ohmwntc3a48hr.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/344/ohmwntc3a48hr.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sdsmwntc3a24h.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/344/sdsmwntc3a24h.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sdsmwntc3a48hr.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/344/sdsmwntc3a48hr.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.05.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/344/documents/HendersonWilliam_A-j104_DataDictionary_20160916.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Anaerobic Toxicity of Cationic Silver Nanoparticles",
      "description": "Toxicity data for the impact of nano-silver on anaerobic degradation. \n\nThis dataset is associated with the following publication:\nGitipour, A., S. Thiel, K. Scheckel, and T. Tolaymat. Anaerobic Toxicity of Cationic Silver Nanoparticles.  D. Barcelo Culleres, and J. Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 557: 363-368, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-p5j7-301",
      "keyword": [
        "Nanoparticles",
        "Silver",
        "toxicity",
        "cationic",
        "anaerobic"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "AN.TOX (data).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/301/AN.TOX%20%28data%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.02.190"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Molecular Detection of Legionella spp. and their associations with Mycobacterium spp., Pseudomonas aeruginosa and amoeba hosts in a drinking water distribution system ",
      "description": "Quantity of Legionella spp., Mycobacterium spp., Acanthamoeba,Vermamoeba vermiformis and Pseudomonas aeruginosa were estimated using qPCR methods. \n\nThis dataset is associated with the following publication:\nLu , J., I. Struewing, E. Vereen, A.E. Kirby, K. Levy, C. Moe, and N. Ashbolt. Molecular detection of Legionella spp. and their associations with Mycobacterium spp., Pseudomonas aeruginosa and amoeba hosts in a drinking water distribution system (Journal Article).   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 120(2): 509-521, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-rv1r-292",
      "keyword": [
        "legionella",
        "opportunistic parthogens",
        "Drinking water distribution system",
        "qPCR",
        "opportunistic pathogen",
        "drinking water",
        "molecular detection",
        "sequence"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Data dictionary_LegionellaDistributionSystem JAM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/292/Data%20dictionary_LegionellaDistributionSystem%20JAM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataSet_LegionellaDistributionSystem JAM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/292/DataSet_LegionellaDistributionSystem%20JAM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-09",
      "references": [
        "https://doi.org/10.1111/jam.12996"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CERAPP: Collaborative Estrogen Receptor Activity Prediction Project",
      "description": "Data from a large-scale modeling project called CERAPP (Collaborative Estrogen Receptor Activity Prediction Project) demonstrating using predictive computational models on high-throughput screening data to screen thousands of chemicals against the estrogen receptor. \n\nThis dataset is associated with the following publication:\nMansouri , K., A. Abdelaziz, A. Rybacka, A. Roncaglioni, A. Tropsha, A. Varnek, A. Zakharov, A. Worth, A. Richard , C. Grulke , D. Trisciuzzi, D. Fourches, D. Horvath, E. Benfenati , E. Muratov, E.B. Wedebye, F. Grisoni, G.F. Mangiatordi, G.M. Incisivo, H. Hong, H.W. Ng, I.V. Tetko, I. Balabin, J. Kancherla , J. Shen, J. Burton, M. Nicklaus, M. Cassotti, N.G. Nikolov, O. Nicolotti, P.L. Andersson, Q. Zang, R. Politi, R.D. Beger , R. Todeschini, R. Huang, S. Farag, S.A. Rosenberg, S. Slavov, X. Hu, and R. Judson. (Environmental Health Perspectives)  CERAPP: Collaborative Estrogen Receptor Activity Prediction Project.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA,  1-49, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-6t1n-312",
      "keyword": [
        "qsar",
        "endocrine disruption",
        "estrogen receptor",
        "ToxCast",
        "DSSTox",
        "Chemistry Dashboard",
        "Read Across"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/CERAPP_QSAR_Models/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/CERAPP_QSAR_Models/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "https://doi.org/10.1289/ehp.1510267"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of food-relevant chemicals in the ToxCast high-throughput screening program",
      "description": "Thousands of chemicals are directly added to or come in contact with food, many of which have undergone little to no toxicological evaluation. The landscape of the food-relevant chemical universe was evaluated using cheminformatics, and subsequently the bioactivity of food-relevant chemicals across the publicly available ToxCast highthroughput screening program was assessed. In total, 8659 food-relevant chemicals were compiled including direct food additives, food contact substances, and pesticides. Of these food-relevant chemicals, 4719 had curated structure definition files amenable to defining chemical fingerprints, which were used to cluster chemicals using a selforganizing map approach. Pesticides, and direct food additives clustered apart from one another with food contact substances generally in between, supporting that these categories not only reflect different uses but also distinct chemistries. Subsequently, 1530 food-relevant chemicals were identified in ToxCast comprising 616 direct food additives, 371 food contact substances, and 543 pesticides. Bioactivity across ToxCast was filtered for cytotoxicity to identify selective chemical effects. Initiating analyses from strictly chemical-based methodology or bioactivity/cytotoxicity-driven evaluation presents unbiased approaches for prioritizing chemicals. Although bioactivity in vitro is not necessarily predictive of adverse effects in vivo, these data provide insight into chemical properties and cellular targets through which foodrelevant chemicals elicit bioactivity. \n\nThis dataset is associated with the following publication:\nKarmaus , A., D. Filer , M. Martin , and K. Houck. (FOOD AND CHEMICAL TOXICOLOGY) Evaluation of food-relevant chemicals in the ToxCast high-throughput screening program.   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 92: 188-196, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-x0kx-328",
      "keyword": [
        "food additive",
        "food contact substance",
        "high-throughput screening",
        "pesticide",
        "chemical safety for sustainablity",
        "chemical safety research",
        "high-throughput toxicology",
        "ToxCast",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Houck_Karmaus/ToxCast_Food_Relevant/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Houck_Karmaus/ToxCast_Food_Relevant/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-30",
      "references": [
        "https://doi.org/10.1016/j.fct.2016.04.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systems Toxicology of Male Reproductive Development: Profiling 774 Chemicals for Molecular Targets and Adverse Outcomes",
      "description": "Background: Trends in male reproductive health have been reported for increased rates of testicular germ cell tumors, low semen quality, cryptorchidism, and hypospadias, which have been associated with prenatal environmental chemical exposure based on human and animal studies.\n\nObjective: In the present study we aimed to identify significant correlations between environmental chemicals, molecular targets, and adverse outcomes across a broad chemical landscape with emphasis on developmental toxicity of the male reproductive system.\n\nMethods: We used U.S. EPA’s animal study database (ToxRefDB) and a comprehensive literature analysis to identify 774 chemicals that have been evaluated for adverse effects on male reproductive parameters, and then used U.S. EPA’s in vitro high-throughput screening (HTS) database (ToxCastDB) to profile their bioactivity across approximately 800 molecular and cellular features. \n\nResults: A phenotypic hierarchy of testicular atrophy, sperm effects, tumors, and malformations, a composite resembling the human testicular dysgenesis syndrome (TDS) hypothesis, was observed in 281 chemicals. A subset of 54 chemicals with male developmental consequences had in vitro bioactivity on molecular targets that could be condensed into 156 gene annotations in a bipartite network. \n\nConclusion: Computational modeling of available in vivo and in vitro data for chemicals that produce adverse effects on male reproductive end points revealed a phenotypic hierarchy across animal studies consistent with the human TDS hypothesis. We confirmed the known role of estrogen and androgen signaling pathways in rodent TDS, and importantly, broadened the list of molecular targets to include retinoic acid signaling, vascular remodeling proteins, G-protein coupled receptors (GPCRs), and cytochrome P450s. \n\nThis dataset is associated with the following publication:\nLeung , M., J. Phuong , N. Baker , N. Sipes , G. Klinefelter , M. Martin , K. McLaurin, W. Setzer , S. Darney , R. Judson , and T. Knudsen. (ENVIRONMENTAL HEALTH PERSPECTIVES) Systems Toxicology of Male Reproductive Development: Profiling 774 Chemicals for Molecular Targets and Adverse Outcomes.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA,  1-47, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-dncw-331",
      "keyword": [
        "Reproductive effects",
        "Children's Environmental Health",
        "virtual embryo",
        "virtual tissues",
        "virtual liver",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Knudsen/Virtual_Tissues_Male_Repro_Tox/Leung%20et%20al.%202016_EHP/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Knudsen/Virtual_Tissues_Male_Repro_Tox/Leung%20et%20al.%202016_EHP/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "https://doi.org/10.1289/ehp.1510385"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vivo and In vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern.",
      "description": "All primary data reported in this paper were generated by non-federal collaborators from the University of Michigan and McGill University. US EPA-ORD personnel collected and supplied water, sediment, and fish tissue samples used in these analyses and contributed to development of the manuscript, however, no data were directly generated by US EPA personnel. This dataset is not publicly accessible because: No EPA data (see comments). It can be accessed through the following means: Data set can be obtained upon request from the corresponding author. Format: n/a. \n\nThis dataset is associated with the following publication:\nArini, A., J. Cavallin , J. Berninger, R. Marfil-Vega, M. Mills , D. Villeneuve , and N. Basu. In vivo and in vitro neurochemical-based assessments of wastewater effluents from the Maumee River area of concern..   SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 211: 9-19, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-4xh3-350",
      "keyword": [
        "adverse outcome pathway",
        "surface water",
        "aquatic ecosystems",
        "cross-species extrapolation",
        "Great Lakes Research Initiative",
        "neuroendocrine"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [],
      "modified": "2015-12-15",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0269749115302426"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MOD13Q1",
      "description": "Normalized Difference Vegetation Index (NDVI). \n\nThis dataset is associated with the following publication:\nShao, Y., R. Lunetta , B. Wheeler, J. Iiames , and J. Campbell. An Evaluation of Time-Series Smoothing Algorithms for Landcover Classifications Using MODIS-NDVI Multi-Temporal Data.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 174(0): 258-265, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-kwhq-353",
      "keyword": [
        "MODIS-NDVI",
        "MODIS-NDVI Smoothing"
      ],
      "contactPoint": {
        "fn": "Ross Lunetta",
        "hasEmail": "mailto:lunetta.ross@epa.gov"
      },
      "distribution": [
        {
          "title": "Time-Series Smoothing_rse.2016.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/353/Time-Series%20Smoothing_rse.2016.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://modis.gsfc.nasa.gov/",
          "accessURL": "https://modis.gsfc.nasa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nassgeodata.gmu.edu/CropScape/",
          "accessURL": "https://nassgeodata.gmu.edu/CropScape/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://modis.gsfc.nasa.gov/"
      },
      "accessRights": "public"
    },
    {
      "title": "Assessment of the Bioaccessibility of Micronized Copper Wood on Simulated Stomach Fluid",
      "description": "The widespread use of copper-treated lumber has increased the potential for human exposure. Moreover, there is a lack of information on the fate and behavior of copper-treated wood particles following oral ingestion. In this study, the in vitro bioaccessibility of copper from copper-treated wood dust in simulated stomach fluid and DI water was determined. Three copper-treated wood products, liquid alkali copper quaternary and two micronized copper quarternary from different manufacturers, were incubated in the extraction media then fractionated by centrifugation and filtration through 0.45 m and 10 kDa filters. The copper concentrations from isolated fractions were measured using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Total amounts of copper from each wood product were also determined using microwave-assisted acid digestion of dried wood samples and quantification using ICP-OES. The percent in vitro bioaccessible copper was between 83 and 90 % for all treated wood types. However, the percent of copper released in DI water was between 14 and 25 % for all wood products. This data suggests that copper is highly bioaccessible at low pH and may pose a potential human exposure risk upon ingestion. \n\nThis dataset is associated with the following publication:\nSantiago-Rodrigues, L., J.L. Griggs, K. Bradham , C. Nelson , T. Luxton , W. Platten , and K. Rogers. Assessment of the bioaccessibility of micronized copper wood in synthetic stomach fluid.   Environmental Nanotechnology, Monitoring and Management. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 85-92, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-tx9t-277",
      "keyword": [
        "Copper",
        "Micronized Copper",
        "Wood",
        "Bioaccessibility",
        "Synthetic stomach fluid",
        "Human Exposure"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "Table S2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/277/Table%20S2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/277/Table%20S3.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-07",
      "references": [
        "https://doi.org/10.1016/j.enmm.2015.07.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pacific Ocean buoy temperature date - TAO/TRITON database & National Buoy Data Center database",
      "description": "Pacific Ocean buoy temperature data. \n\nThis dataset is associated with the following publication:\nCarbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri, F. De Simone, I.M. Hedgecock, and N. Pirrone. Sea surface temperature variation linked to elemental mercury concentrations measured on Mauna Loa.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA,  online, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-47dd-363",
      "keyword": [
        "Ocean Evation"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.pmel.noaa.gov/tao/index.shtml",
          "accessURL": "https://www.pmel.noaa.gov/tao/index.shtml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ndbc.noaa.gov/",
          "accessURL": "https://www.ndbc.noaa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-21",
      "references": [
        "https://doi.org/10.1002/2016gl069252"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAPS Study Wet Only Mercury in Precipitation Data Set from Chippiwa Lake and G.T. Graig Monitoring Sites",
      "description": "Total mercury in precipitation collected using ASPS automated wet-only instrument and analyzed by cold vapor atomic fluorescence spectroscopy. \n\nThis dataset is associated with the following publication:\nLynam, M., J.T. Dvonch, J. Barres, M. Landis , and A. Kamal. Investigating the impact of local urban sources on total atmospheric mercury wet deposition in Cleveland, Ohio, USA.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 127: 262-271, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-8939-373",
      "keyword": [
        "Mercury Deposition Network",
        "Meteorological Case Study",
        "Lake Erie"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Hg_event_wet_deposition.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/373/Hg_event_wet_deposition.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2015.12.048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in Xu et al., 2016 paper entitled \"Characteristics and distributions of atmospheric mercury emitted from anthropogenic sources in Guiyang, southwestern China",
      "description": "Mercury emissions data from anthropogenic sources as described in Xu et al., 2016. \n\nThis dataset is associated with the following publication:\nXu, X., N. Liu, M. Landis, X. Feng, and G. Qiu. Characteristics and distributions of atmospheric mercury emitted from anthropogenic sources in Guiyang, southwestern China.   Acta Geochimica. Springer, Heidelburg,  GERMANY,  1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-4tmv-359",
      "keyword": [
        "Atmospheric mercury",
        "Speciation",
        "Antrhopogenic Sources",
        "GEM",
        "RGM",
        "PHg"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Xu_et_al_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/359/Xu_et_al_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-08",
      "references": [
        "http://link.springer.com/article/10.1007/s11631-016-0111-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Carbone_et_al_2016_ambient_data - Sea surface temperature variation linked to elemental mercury concentrationsmeasured on Mauna Loa",
      "description": "This data set has two sets of gaseous elemental mercury data. The first column contains all Hg related data some of which may have been affected by the upslope events such as the emissions from the nearby volcano. The next column contain values that were flagged and excluded as being affected by the nearby volcanic events. The flagging method used to eliminate these values was developed using an episode identification scheme using SO2 data. For the years of 2002 through 2004, hourly SO2 data were used to llag the upslope values. For the years of 2005-2009, 5 minute SO2 values were used to flag upslope events.\n\nWhile SO2 and O3 data were collected by EPA as part of this study, the CO2 data were downloaded from NOAA data website along with the flag related information provided below. (http://www.esrl.noaa.gov/gmd/dv/data/index.php?parameter_name=Carbon%2BDioxide&showall=1&site=MLO). \n\nThis dataset is associated with the following publication:\nCarbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri, F. De Simone, I.M. Hedgecock, and N. Pirrone. Sea surface temperature variation linked to elemental mercury concentrations measured on Mauna Loa.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA,  online, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-47dd-361",
      "keyword": [
        "Ocean Evation"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Carbone_et_al-2016_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/361/Carbone_et_al-2016_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-21",
      "references": [
        "https://doi.org/10.1002/2016gl069252"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Establishing the “Biological Relevance” of Dipentyl Phthalate Reductions in Fetal Rat Testosterone Production and Plasma and Testis Testosterone Levels ",
      "description": "metadata sheet, data sheet for each table and figure in the published manuscript. \n\nThis dataset is associated with the following publication:\nGray , E., J. Furr , K. Tatum-Gibbs, C. Lambright , H. Sampson, B. Hannas, V. Wilson , A. Hotchkiss , and P. Foster. Establishing the Biological Relevance of Dipentyl Phthalate Reductions in Fetal Rat Testosterone Production and Plasma and Testis Testosterone Levels.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    149(1): 178-91, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-9cnz-347",
      "keyword": [
        "dipentyl phthalate",
        "sexual differentiation",
        "biologically relevant hormone changes",
        "androgen signaling pathway adverse outcome pathway",
        "Phthalates",
        "reproductive development"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "science hub data sets and metadata file.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/347/science%20hub%20data%20sets%20and%20metadata%20file.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-18",
      "references": [
        "https://doi.org/10.1093/toxsci/kfv224",
        "https://pasteur.epa.gov/uploads/347/documents/gray%20et%20al%202016%20brrt%20dpep%20tox%20sci.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/347/documents/DATA%20DICTIONARY.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting Al-Abed et al., Environ. Sci.: Nano, 2016,",
      "description": "Data files representing each of the Figures and Tables published in Al-Abed et al., Environ. Sci.: Nano, 2016,\n3, 593.  The data file names identify the Figure or Table and each file contains an internal set of data definitions. \n\nThis dataset is associated with the following publication:\nAl-Abed, S.R., J. Virkutyte, J. Ortenzio , R.M. McCarrick, L. Degn, R. Zucker , N. Coates , K. Cleveland, H. Ma, S. Diamond, K. Dreher , and W. Boyes. Environmental aging alters AI(OH)3 coating of TiO2 nanoparticles enhancing their photocatalytic and phototoxicity activities.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK,  N/A, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-m64f-298",
      "keyword": [
        "sunscreen",
        "environmental degredation",
        "engineered nanomaterials",
        "Engineered nanoparticles (NP)",
        "nanomaterials",
        "phototoxicity",
        "environmental transformations",
        "titanium dioxide"
      ],
      "contactPoint": {
        "fn": "William Boyes",
        "hasEmail": "mailto:boyes.william@epa.gov"
      },
      "distribution": [
        {
          "title": "TiO2_POOL_FIG_1_EDS data from Souhail.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TiO2_POOL_FIG_1_EDS%20data%20from%20Souhail.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TiO2_POOL_FIG_2_XPS data from Souhail.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TiO2_POOL_FIG_2_XPS%20data%20from%20Souhail.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_FIG_3_EPR_data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_FIG_3_EPR_data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TiO2_POOL_FIG_4_PHOTOTOX data from Jayna.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TiO2_POOL_FIG_4_PHOTOTOX%20data%20from%20Jayna.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_FIG_5_FLOW_SIDE_SCATTER.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_FIG_5_FLOW_SIDE_SCATTER.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_FIG_6_FLUOR_IMAGES.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_FIG_6_FLUOR_IMAGES.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_Suppl_Fig1_SEM.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_Suppl_Fig1_SEM.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_Suppl_Fig2_TEM.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_Suppl_Fig2_TEM.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_Suppl_Fig3_EDS_graph.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_Suppl_Fig3_EDS_graph.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TiO2_POOL_Suppl_Fig4_APF_TBARS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TiO2_POOL_Suppl_Fig4_APF_TBARS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_Suppl_Table1_FLOW_TABLE.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_Suppl_Table1_FLOW_TABLE.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_TABLE1_WICOXON_STATS.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_TABLE1_WICOXON_STATS.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TIO2_POOL_TABLE2_AGGOLMERATION.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/298/TIO2_POOL_TABLE2_AGGOLMERATION.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-12",
      "references": [
        "https://doi.org/10.1039/c5en00250h"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Computational Modeling and Simulation of Genital Tubercle Development",
      "description": "Hypospadias is a developmental defect of urethral tube closure that has a complex etiology involving genetic and environmental factors, including anti-androgenic and estrogenic disrupting chemicals; however, little is known about the morphoregulatory consequences of androgen/estrogen balance during genital tubercle (GT) development. Computer models that predictively model sexual dimorphism of the GT may provide a useful resource to translate chemical-target bipartite networks and their developmental consequences across the human-relevant chemical universe. Here, we describe a multicellular agent-based model of genital tubercle (GT) development that simulates urethrogenesis from the sexually-indifferent urethral plate stage to urethral tube closure. The prototype model, constructed in CompuCell3D, recapitulates key aspects of GT morphogenesis controlled by SHH, FGF10, and androgen pathways through modulation of stochastic cell behaviors, including differential adhesion, motility, proliferation, and apoptosis. Proper urethral tube closure in the model was shown to depend quantitatively on SHH- and FGF10-induced effects on mesenchymal proliferation and epithelial apoptosis—both ultimately linked to androgen signaling. In the absence of androgen, GT development was feminized and with partial androgen deficiency, the model resolved with incomplete urethral tube closure, thereby providing an in silico platform for probabilistic prediction of hypospadias risk across combinations of minor perturbations to the GT system at various stages of embryonic development. \n\nThis dataset is associated with the following publication:\nLeung , M.C.K., S. Hutson, A. Seifert, R. Spencer, and T. Knudsen. (REPRODUCTIVE TOXICOLOGY) Computational Modeling and Simulation of Genital Tubercle Development.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA,  1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-dncw-339",
      "keyword": [
        "Reproductive effects",
        "reproductive development",
        "Children's Environmental Health",
        "virtual embryo",
        "virtual tissues",
        "virtual liver",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Knudsen/Virtual_Tissues_Male_Repro_Tox/Leung_2016_RTX/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Knudsen/Virtual_Tissues_Male_Repro_Tox/Leung_2016_RTX/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2016.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from Tiered High-Throughput Screening Approach to Identify Thyroperoxidase Inhibitors within the ToxCast Phase I and II Chemical Libraries ",
      "description": "High-throughput screening for potential thyroid-disrupting chemicals requires a system of assays to capture multiple molecular-initiating events (MIEs) that converge on perturbed thyroid hormone (TH) homeostasis. Screening for MIEs specific to TH-disrupting pathways is limited in the U.S. Environmental Protection Agency ToxCast screening assay portfolio. To fill 1 critical screening gap, the Amplex UltraRed-thyroperoxidase (AUR-TPO) assay was developed to identify chemicals that inhibit TPO, as decreased TPO activity reduces TH synthesis. The ToxCast phase I and II chemical libraries, comprised of 1074 unique chemicals, were initially screened using a single, high concentration to identify potential TPO inhibitors. Chemicals positive in the single-concentration screen were retested in concentration-response. Due to high false-positive rates typically observed with loss-of-signal assays such as AUR-TPO, we also employed 2 additional assays in parallel to identify possible sources of nonspecific assay signal loss, enabling stratification of roughly 300 putative TPO inhibitors based upon selective AUR-TPO activity. A cell-free luciferase inhibition assay was used to identify nonspecific enzyme inhibition among the putative TPO inhibitors, and a cytotoxicity assay using a human cell line was used to estimate the cellular tolerance limit. Additionally, the TPO inhibition activities of 150 chemicals were compared between the AUR-TPO and an orthogonal peroxidase oxidation assay using guaiacol as a substrate to confirm the activity profiles of putative TPO inhibitors. This effort represents the most extensive TPO inhibition screening campaign to date and illustrates a tiered screening approach that focuses resources, maximizes assay throughput, and reduces animal use. \n\nThis dataset is associated with the following publication:\nPaul-Friedman, K., E.D. Watt , M.W. Hornung , J.M. Hedge , R.S. Judson , K.M. Crofton , K.A. Houck , and S.O. Simmons. (TOXICOLOGICAL SCIENCES) Tiered High-Throughput Screening Approach to Identify Thyroperoxidase Inhibitors within the ToxCast Phase I and II Chemical Libraries.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     1-59, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-z35j-97",
      "keyword": [
        "ToxCast",
        "chemical safety research",
        "chemical safety for sustainablity",
        "high-throughput toxicology",
        "Thyroperoxidase",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures and Tables_v10.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/97/Figures%20and%20Tables_v10.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/FriedmanPaul_K/2016_TPO_ToxCast_ToxSci",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/FriedmanPaul_K/2016_TPO_ToxCast_ToxSci",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Watershed impervious cover relative to stream location",
      "description": "Estimates of watershed (12-digit huc) impervious cover and impervious cover near streams and water body shorelines for three dates (2001, 2006, 2011) using NLCD data.  Differences between watershed impervious cover and impervious cover near streams can be used to assess the spatial pattern of impervious cover within a watershed. \n\nThis dataset is associated with the following publication:\nWickham , J., A. Neale , M. Mehaffey , T. Jarnagin , and D. Norton. Temporal Trends in Impervious Cover Relative to Stream Location..   JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 52(2): 409-419, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-n03c-254",
      "keyword": [
        "Impervious cover",
        "National Land Cover Database (NLCD)",
        "Clean Water Act",
        "change detection",
        "roads",
        "spatial pattern"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/254/SciHub_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub_Metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/254/SciHub_Metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-31",
      "references": [
        "https://www.epa.gov/enviroatlas"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/254/documents/SciHub_Metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Permeable pavement study (Edison)",
      "description": "While permeable pavement is increasingly being used to control stormwater runoff, field-based, side-by-side investigations on the effects different pavement types have on nutrient concentrations present in stormwater runoff are limited.  In 2009, the U.S. EPA constructed a 0.4-ha parking lot in Edison, New Jersey, that incorporated permeable interlocking concrete pavement (PICP), pervious concrete (PC), and porous asphalt (PA).  Each permeable pavement type has four, 54.9-m2, lined sections that direct all infiltrate into 5.7-m3 tanks enabling complete volume collection and sampling.  This paper highlights the results from a 12-month period when samples were collected from 13 rainfall/runoff events and analyzed for nitrogen species, orthophosphate, and organic carbon.  Differences in infiltrate concentrations among the three permeable pavement types were assessed and compared with concentrations in rainwater samples and impervious asphalt runoff samples, which were collected as controls.  Contrary to expectations based on the literature, the PA infiltrate had significantly larger total nitrogen (TN) concentrations than runoff and infiltrate from the other two permeable pavement types, indicating that nitrogen leached from materials in the PA strata.  There was no significant difference in TN concentration between runoff and infiltrate from either PICP or PC, but TN in runoff was significantly larger than in the rainwater, suggesting meaningful inter-event dry deposition.  Similar to other permeable pavement studies, nitrate was the dominant nitrogen species in the infiltrate.  The PA infiltrate had significantly larger nitrite and ammonia concentrations than PICP and PC, and this was presumably linked to unexpectedly high pH in the PA infiltrate that greatly exceeded the optimal pH range for nitrifying bacteria.  Contrary to the nitrogen results, the PA infiltrate had significantly smaller orthophosphate concentrations than in rainwater, runoff, and infiltrate from PICP and PC, and this was attributed to the high pH in PA infiltrate possibly causing rapid precipitation of orthophosphate with metal cations.  Orthophosphate was exported from the PICP and PC, as evidenced by the significantly larger infiltrate concentrations compared with influent sources of rainwater and runoff. \n\nThis dataset is associated with the following publication:\nBrown , R., and M. Borst. Nutrient Infiltrate Concentrations from Three Permeable Pavement Types.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 164: 74-85, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-ghxg-275",
      "keyword": [
        "Green Infrastructure",
        "bmp",
        "stormwater management",
        "GI perrormance"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "edison parking lot nutrient data base period.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/275/edison%20parking%20lot%20nutrient%20data%20base%20period.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-06",
      "references": [
        "http://www.ncbi.nlm.nih.gov/pubmed/26348134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt",
      "description": "Excel workbook,  First sheet is data dictionary.  second sheet is the data representing the abstraction for events with short antecedent dry period (less than 24 hr). \n\nThis dataset is associated with the following publication:\nBrown , R., and M. Borst. Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA,  online, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-4qrm-352",
      "keyword": [
        "runoff",
        "Hot-Mix Asphalt",
        "Small Storm Hydrology Method",
        "Simple Method",
        "SCS-Curve Number Method",
        "stormwater",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Borst-ScID A-4qrm.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/352/Borst-ScID%20A-4qrm.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-08-01",
      "references": [
        "https://doi.org/10.1061/jswbay.0000806"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ensemble standar deviation of wind speed and direction of the FDDA input to WRF",
      "description": "NetCDF file of the SREF standard deviation of wind speed and direction that was used to inject variability in the FDDA input.\r\n\r\nvariable U_NDG_OLD contains standard deviation of wind speed (m/s)\r\nvariable V_NDG_OLD contains the standard deviation of wind direction (deg). This dataset is not publicly accessible because: This is a netcdf file that is 3.9Gb. It can be accessed through the following means: On the HPC system sol (2016). In the asm archive here: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure1.nc. Format: Figure 1 data. This is the variability of wind speed and direction of the four dimensional data assimilation inputs. The variability includes the 14 members of the ensemble. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-374",
      "keyword": [
        "FDDA",
        "Wind Speed and direction variability",
        "WRF",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2015-07-21",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/374/documents/figure1.data.dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 3",
      "description": "The Figure.tar.gz contains a directory for each WRF ensemble run. In these directories are *.csv files for each meteorology variable examined. These are comma delimited text files that contain statistics for each observation site. Also provided is an R script that reads these files (user would need to change directory pointers) and computes the variability of error and bias of the ensemble at each site and plots these for reproduction of figure 3. This dataset is not publicly accessible because: 30Mb tar, 15 Mb tar.gz. It can be accessed through the following means: On the EPA HPC system sol archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/figure3.tar. Format: tar.gz file of text files that contain the surface meteorology statistics that were used to created Figure 3. Also included is a R script that will allow anyone interested to re-generate the figure. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-375",
      "keyword": [
        "variability",
        "temperature",
        "wind speed",
        "mixing ratio",
        "ensemble",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2015-09-02",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure4",
      "description": "NetCDF files of PBL height (m), Shortwave Radiation, 10 m wind speed from WRF and Ozone from CMAQ. The data is the standard deviation of these variables for each hour of the 4 day simulation. Figure 4 is only one of the time periods: June 8, 2100 UTC. The NetCDF files have a time stamp (Times) that can be used to find this time in order to reproduce the Figure 4. Also included is a data dictionary that describes the domain and all other attributes of the model simulation. This dataset is not publicly accessible because: The file is 202Mb binary NetCDF file that is too large. It can be accessed through the following means: Archived on the US EPA HPC Sol computer system:/asm/grc/JGR_ENSEMBLE_ScienceHub/Figure4.tar.gz. Format: Tar.gz file that contains NetCDF files required to reproduce Figure 4. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-376",
      "keyword": [
        "PBL Height",
        "Ozone",
        "Solar Radiation",
        "10-m wind speed",
        "Standard deviation of the SREF Ensemble",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2015-07-22",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/376/documents/figure4.data.dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Figure5",
      "description": "This is an R statistics package script that allows the reproduction of Figure 5. The script includes the links to large NetCDF files that the figures access for O3, CO, wind speed, radiation and PBL height. It pulls the timeseries for each variable at a number of cities (lat-lon specified). \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-377",
      "keyword": [
        "timeseries",
        "O3",
        "CO",
        "PBL Height",
        "Radiation",
        "wind speed",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure5.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/377/Figure5.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-10-01",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure6",
      "description": "R script for the reproduction of Figure6. This script accesses archived CMAQ and WRF model output on US EPA's HPC sol computer system and plots forward trajectories and ozone concentrations from major cities in the US. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-379",
      "keyword": [
        "trajectories",
        "O3",
        "ensemble modeling",
        "probabilistic modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure6.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/379/Figure6.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-02-12",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 7",
      "description": "Two files provided. The ENS.tar file contains text data files (*.csv) used to create Figure 7 and Figure 8. The Figure7.txt is an R script that reads these files and generates the plots for various cities including the four published in Figure 7 and Figure 8. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-380",
      "keyword": [
        "variability",
        "O3",
        "Probablistic Evaluation",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "ENS.city.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/380/ENS.city.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure7.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/380/Figure7.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-03",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 9",
      "description": "This is a NetCDF file in ioapi format that contains the probability that ozone is above the 8 hr max O3 standard for the four days of the simulation. This dataset is not publicly accessible because: The file size is a large binary NetCDF file of 56Mb. It can be accessed through the following means: File is located on US EPA's HPC system sol file archive: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure9.nc. Format: NetCDF file that contains the O3 gridded data to reproduce Figure 9. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-381",
      "keyword": [
        "O3",
        "Probablity",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2015-07-22",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from Phelan et al. 2016 (Water Air and Soil Pollution 227:84. DOI 10.1007/s11270-016-2762-x). \"Assessing the effects of climate change and air pollution on soil properties and plant diversity in sugar-maple-beech-yellow birch hardwood...\"",
      "description": "This dataset describes the simulations at two pilot sites in the northeast from 1900-2100 for several soil and plant community responses to climate and nitrogen deposition across a number of future scenarios. \n\nThis dataset is associated with the following publications:\nPhelan, J., S. Belyazid, C. Clark , P. Jones, and J. Cajka. Assessing the Effects of Climate Change and Air Pollution on Soil Properties and Plant Diversity in Sugar Maple-Beech-Yellow Birch Hardwood Forests in the Northeastern United States:  Model Simulations from 1900-2100.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 227(3): 1-30, (2016).\nBelyazid, S., J. Phelan, B. Nihlgard, H. Sverdrup, C. Driscoll, I. Fernandez, J. Aherne, L.M. Teeling-Adams, S. Bailey, M. Arsenault, N. Cleavitt, B. Engstrom, R. Dennis, D. Sperduto, D. Werier, and C. Clark. Assessing the Effects of Climate Change and Air Pollution on Soil Properties and Plant Diversity in Northeastern U.S. Hardwood Forests: Model Setup and Evaluation.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 230: 106, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-c5b9-356",
      "keyword": [
        "nitrogen",
        "nitrogen deposition",
        "critical loads",
        "air quality",
        "biogeochemical cycling",
        "ecosystem services",
        "biodiversity"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Model_data_file_catalogue_FSV-Scen.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/356/Model_data_file_catalogue_FSV-Scen.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Zipped.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/356/Data_Zipped.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-08",
      "references": [
        "https://doi.org/10.1007/s11270-016-2762-x",
        "https://doi.org/10.1007/s11270-019-4145-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pb Speciation Data to Estimate Lead Bioavailability to Quail",
      "description": "Linear combination fitting data for lead speciation of soil samples evaluated through an in-vivo/in-vitro correlation for quail exposure. \n\nThis dataset is associated with the following publication:\nBeyer, W.N., N. Basta, R. Chaney, P. Henry, D. Mosby, B. Rattner, K. Scheckel , D. Sprague, and J. Weber. BIOACCESSIBILITY TESTS ACCURATELY ESTIMATE BIOAVAILABILITY OF LEAD TO QUAIL.  G.A. Burton, Jr., and C. H. Ward  ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(9): 2311-2319, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-66t7-383",
      "keyword": [
        "metal bioavailability",
        "synchrotron speciation",
        "ecological risk assessment",
        "soil contamination",
        "soil amendments",
        "wildlife toxicology"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "BeyeretalQuailPbPaper_LCFDate_Table3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/383/BeyeretalQuailPbPaper_LCFDate_Table3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-09",
      "references": [
        "https://doi.org/10.1002/etc.3399"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "an Integrated science based methodology",
      "description": "The data is secondary in nature.  Meaning that no data was generated as part of this review effort.  Rather, data that was available in the peer-reviewed literature was used. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: there is no data base. \n\nThis dataset is associated with the following publication:\nTolaymat , T., A. El Badawy, R. Sequeira, and A. Genaidy. An integrated science-based methodology to assess potential risks and implications of engineered nanomaterials.  Diana Aga, Wonyong Choi, Andrew Daugulis, Gianluca Li Puma, Gerasimos Lyberatos, and Joo Hwa Tay  JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 298: 270-281, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-k0pj-378",
      "keyword": [
        "nanomaterials",
        "Risk",
        "Methodology"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-09",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2015.04.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vivo plasma concentration for lindane after 6 hour exposure in human skin",
      "description": "Dataset is a time course description of lindane disappearance in blood plasma after dermal exposure in human volunteers. \n\nThis dataset is associated with the following publication:\nSawyer, M.E., M.V. Evans , C. Wilson, L.J. Beesley, L. Leon, C. Eklund , E. Croom, and R. Pegram. Development of a Human Physiologically Based Pharmacokinetics (PBPK) Model For Dermal Permeability for Lindane.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 14(245): pp106-109, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-0cfz-313",
      "keyword": [
        "lindane",
        "pbpk",
        "in vivo",
        "human",
        "ExpoCast",
        "ToxCast",
        "Dermal Permeation",
        "dermal diffusion",
        "dermal lag time",
        "dermal cumulative absorption"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "sawyer_2016_sciencehib.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/313/sawyer_2016_sciencehib.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2016.01.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data submission for A-d25f",
      "description": "Includes 1) list of genes in the STAT5b biomarker and 2) list of accession numbers for microarray datasets used in study. \n\nThis dataset is associated with the following publication:\nOshida, K., N. Vasani, D. Waxman, and C. Corton. Disruption of STAT5b-Regulated Sexual Dimorphism of the Liver Transcriptome by Diverse Factors Is a Common Event.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-d25f-177",
      "keyword": [
        "microarray accession numbers",
        "list of STAT5b biomarker genes",
        "liver cancer",
        "STAT5b",
        "transcriptomics",
        "androgens",
        "estrogens"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-d25f.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/177/Data%20submission%20for%20A-d25f.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-01",
      "references": [
        "https://doi.org/10.1371/journal.pone.0148308"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data submission for A-p8dg",
      "description": "Accession numbers for microarray datasets used in Oshida et al. Chemical and Hormonal Effects on STAT5b-Dependent Sexual Dimorphism of the Liver Transcriptome.  PLoS One. 2016 Mar 9;11(3):e0150284. \n\nThis dataset is associated with the following publication:\nOshida, K., D. Waxman, and C. Corton. Chemical and Hormonal Effects on STAT5b-Dependent Sexual Dimorphism of the Liver Transcriptome..   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(3): NA, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-p8dg-181",
      "keyword": [
        "microarray accession numbers",
        "transcriptomics",
        "STAT5b",
        "constitutive activated receptor (CAR)",
        "peroxisome proliferator activated receptor alpha",
        "aryl hydrocarbon receptor",
        "growth hormone",
        "hypothalamic-pituitary-liver axis"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-p8dg.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/181/Data%20submission%20for%20A-p8dg.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-01",
      "references": [
        "https://doi.org/10.1371/journal.pone.0150284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data submission for A-0k6f",
      "description": "List of biomarker genes used to predict estrogen receptor activity in MCF-7 cells; list of microarray accession numbers used in the study. \n\nThis dataset is associated with the following publication:\nVanduyn, N., B. Chorley , R. Tice, R. Judson , and C. Corton. Moving Toward Integrating Gene Expression Profiling into High-throughput Testing:A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    151(1): 88-103, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-0k6f-182",
      "keyword": [
        "microarray accession numbers",
        "biomarker genes",
        "estrogen receptor",
        "endocrine disruption",
        "transcriptomics",
        "microarray"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-0k6f.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/182/Data%20submission%20for%20A-0k6f.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data submission for A-gf27",
      "description": "Biomarker genes used to predict AhR activity; accession numbers of microarray datasets used in the study. \n\nThis dataset is associated with the following publication:\nOshida, K., N. Vasani, W. Ward , R. Thomas , D. Applegate, F. Gonzalez, L. Aleksunes, C. Klaassen, and C. Corton. Screening a mouse liver gene expression Compendium Identifies Effectors of the Aryl Hydrocarbon reeptors (AhR).   TOXICOLOGICAL SCIENCES. Society of Toxicology,    336: 99-112, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-gf27-183",
      "keyword": [
        "microarray accession numbers",
        "biomarker genes",
        "aryl hydrocarbon receptor",
        "microarray",
        "transcriptomics",
        "liver cancer",
        "constitutive activated receptor (CAR)",
        "pregnane x receptor (PXR)",
        "peroxisome proliferator activated receptor alpha"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-gf27.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/183/Data%20submission%20for%20A-gf27.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-01",
      "references": [
        "https://doi.org/10.1016/j.tox.2015.07.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of genetic strain and gender on age-related changes in body composition of the laboratory rat.",
      "description": "Body composition data for common laboratory strains of rat as a function of age. \n\nThis dataset is associated with the following publication:\nGordon , C., K. Jarema , A. Johnstone , and P. Phillips. Effect of Genetic Strain and Gender on Age-Related Changes in Body Composition of the Laboratory Rat.   Physiology & Behavior. Elsevier B.V., Amsterdam,  NETHERLANDS, 153(1): 56-63, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-tqkb-176",
      "keyword": [
        "Genetic strain",
        "gender",
        "Aging",
        "Body composition"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "E314 Science hub Effects of Genetic Strain and aging Data for MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/176/E314%20Science%20hub%20Effects%20of%20Genetic%20Strain%20and%20aging%20Data%20for%20MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure10",
      "description": "Fortran/NCARgraphics program to compute and plot RRF mean and variability:map_rrf_variability_13runs_epimax.f\r\n\r\nIoapi files needed by Fortran/NCARGraphics code:\r\nCMAQ.CONC.SREF.June2011.New.13runs.o3_8hrdm\r\nCMAQ.CONC.SREF.June2011.N50V25.New.13runs.o3_8hrdm\r\nGRIDCRO2D_060607\r\n\r\nPlotting routines \r\nmap_rrf_mean_sigma_ne_13runs_epimax.ps\r\nmap_rrf_mean_sigma_ne_13runs_epimax.ncgm. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-387",
      "keyword": [
        "Relative Response Factor",
        "O3",
        "VOCs",
        "Emissions reductions",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure10.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/387/Figure10.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-11-02",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure11",
      "description": "R script: ensemble_rrf_sigma_vs_mean_play.R\r\nData: ensemble_mean_sigma_rrf_allgrids_epismax_new_13runs.csv\r\nPlot: boxplot_ensemble_rrf_sigma_vs_mean_nowater_new_13runs_epimax.pdf. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-388",
      "keyword": [
        "RRF",
        "Ozone",
        "emissions reduction",
        "probabilistic modeling",
        "ensemble modeling",
        "WRF-CMAQ"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure11.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/388/Figure11.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-11-13",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure12",
      "description": "NCL script: cmaq_ensemble_isam_4panels_subdomain.ncl\r\n\r\nNetcdf input file for NCL script, containing ensemble means and standard deviation of ISAM SO4 and O3 contributions from IPM: test.nc\r\n\r\nPlot (ps): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ps\r\n\r\nPlot (pdf): maps_isam_mean_std_lasthour_ipm_so4_o3_east.pdf\r\n\r\nPlot (ncgm): maps_isam_mean_std_lasthour_ipm_so4_o3_east.ncgm. This dataset is not publicly accessible because: This contains a dataset that is well over 1Gb, so link provided to US EPA's HPC system where all information can be retrieved. It can be accessed through the following means: /asm/grc/JGR_ENSEMBLE_ScienceHub/Figure12.tar.gz. Format: Tar file with scripts and datasets needed to reproduce Figure 12. \n\nThis dataset is associated with the following publication:\nGilliam , R., C. Hogrefe , J. Godowitch, S. Napelenok , R. Mathur , and S.T. Rao. Impact of inherent meteorology uncertainty on air quality model predictions.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 120(23): 12,259–12,280, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6q5f-389",
      "keyword": [
        "CMAQ ISAM",
        "Source Attribution",
        "ensemble modeling",
        "O3",
        "probabilistic modeling",
        "WRF-CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2014-11-10",
      "references": [
        "https://doi.org/10.1002/2015jd023674"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicted median July stream/river temperature regime in New England",
      "description": "This shapefile includes the predicted thermal regime for all NHDPlus version 1 stream and river reaches in New England within the model domain based on the spatial statistical network model published in Detenbeck et al. 2016 (Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset can be accessed for download via the EPA application Estuary Data Mapper, downloadable from www.epa.gov/edm. They can be accessed through the following means: The dataset can be accessed for download via the EPA application Estuary Data Mapper, downloadable from www.epa.gov/edm. Format: Shapefile with associated metadata. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-120",
      "keyword": [
        "water temperature",
        "spatial statistical network model",
        "New England",
        "streams",
        "rivers",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-17",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted median July stream/river temperature points",
      "description": "The shapefile contains points with associated observed and predicted median July stream/river temperatures in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Raw stream/temperature data were received from a variety of state agencies, watershed organizations, and Federal agencies (see Detenbeck et al. 2016 for complete list: Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). This dataset is not publicly accessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). It can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-121",
      "keyword": [
        "spatial statistical network model",
        "streams",
        "water temperature",
        "rivers",
        "New England",
        "July",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [],
      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted median August stream/river temperature points",
      "description": "The shapefile contains points with associated observed and predicted median August stream/river temperatures in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Raw stream/temperature data were received from a variety of state agencies, watershed organizations, and Federal agencies (see Detenbeck et al. 2016 for complete list: Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-122",
      "keyword": [
        "spatial statistical network model",
        "streams",
        "rivers",
        "water temperature",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "subOrganizationOf": [
              {
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted July stream/river temperature daily range points",
      "description": "The shapefile contains points with associated observed and predicted July stream/river temperature daily ranges in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
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      "identifier": "A-j9kt-123",
      "keyword": [
        "spatial statistical network model",
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        "rivers",
        "water temperature",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
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      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
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            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted August stream/river temperature daily range points",
      "description": "The shapefile contains points with associated observed and predicted August stream/river temperature daily ranges in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-124",
      "keyword": [
        "spatial statistical network model",
        "streams",
        "rivers",
        "water temperature",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
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      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted growing season maximum stream/river temperature points",
      "description": "The shapefile contains points with associated observed and predicted growing season maximum stream/river temperatures in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-125",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted Julian day of maximum growing season stream/river temperature points",
      "description": "The shapefile contains points with associated observed and predicted Julian day of maximum growing season stream/river temperatures in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-126",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
        "water temperature",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted July stream/river temperature maximum positive daily rate of change points",
      "description": "The shapefile contains points with associated observed and predicted July stream/river temperature maximum positive daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
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      "identifier": "A-j9kt-127",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
        "New England",
        "water temperature",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
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      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
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        "https://doi.org/10.1002/2015wr018349"
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        "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted August stream/river temperature maximum positive daily rate of change points",
      "description": "The shapefile contains points with associated observed and predicted August stream/river temperature maximum positive daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-j9kt-128",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
        "New England",
        "water temperature",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted July maximum negative stream/river temperature daily rate of change points",
      "description": "The shapefile contains points with associated observed and predicted July stream/river temperature maximum negative daily rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:096"
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      "identifier": "A-j9kt-129",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
        "water temperature",
        "New England",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
        "habitat"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "accessURL": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1002/2015wr018349"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
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              {
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New England observed and predicted August stream/river temperature maximum daily rate of change points",
      "description": "The shapefile contains points with associated observed and predicted August stream/river temperature maximum negative rate of change in New England based on a spatial statistical network model published in Detenbeck et al. (2016): Detenbeck, N. E., Morrison, A., Abele, R. W. and Kopp, D. (2016), Spatial statistical network models for stream and river temperature in New England, USA. Water Resour. Res. Accepted Author Manuscript. doi:10.1002/2015WR018349). Portions of this dataset are inaccessible because: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). They can be accessed through the following means: The dataset is being made available as part of a collection of stream/river temperature model results through EPA's Estuary Data Mapper (publically available application at www.epa.gov/edm for discovering, viewing and accessing geospatial data). Format: Shapefile. \n\nThis dataset is associated with the following publication:\nDetenbeck , N., A. Morrison, R. Abele , and D. Kopp. Spatial statistical network models for stream and river temperature in New England, USA.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 52: 6018–6040, (2016).",
      "accessLevel": "public",
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      "bureauCode": [
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      "programCode": [
        "020:096"
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      "identifier": "A-j9kt-130",
      "keyword": [
        "spatial statistical network model",
        "rivers",
        "streams",
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        "water temperature",
        "stormwater",
        "green infrastrucutre",
        "aquatic biota",
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      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/estuary-data-mapper-edm",
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    },
    {
      "title": "Gene expression and chemical exposure data for larval Pimephales promelas exposed to one of  four pyrethroid pesticides.",
      "description": "Uploaded datasets are detailed exposure information (chemical concentrations and water quality parameters) for exposures conducted in a flow through diluter system with larval Pimephales promelas to four different pyrethroid pesticides.  The GEO submission URL links to the NCBI GEO database and contains gene expression data from whole larvae exposed to different concentrations of the pyrethroids across multiple experiments. \n\nThis dataset is associated with the following publication:\nBiales, A., M. Kostich, A. Batt, M. See, R. Flick, D. Gordon, J. Lazorchak, and D. Bencic. Initial Development of a Multigene Omics-Based Exposure Biomarker for Pyrethroid Pesticides.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 179(0): 27-35, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
        "020:000"
      ],
      "identifier": "A-mcvw-158",
      "keyword": [
        "transcriptomics",
        "biomarker",
        "fish",
        "pyrethroids"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 1 - Water Quality Parameters.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%201%20-%20Water%20Quality%20Parameters.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 - Phase 1 per tank per day chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%202%20-%20Phase%201%20per%20tank%20per%20day%20chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3 - P2 Chemistry Results Per Day and Per Tank.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%203%20-%20P2%20Chemistry%20Results%20Per%20Day%20and%20Per%20Tank.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 4  - Functional Annotation Clustering_DAVID.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%204%20%20-%20Functional%20Annotation%20Clustering_DAVID.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 5 - Uncalibrated eAUCs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%205%20-%20Uncalibrated%20eAUCs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 6 CALIBRATED EAUCS.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/158/Table%206%20CALIBRATED%20EAUCS.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/gquery/?term=GSE84475",
          "accessURL": "https://www.ncbi.nlm.nih.gov/gquery/?term=GSE84475",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental Information: Phototransformation-Induced Aggregation of Functionalized Single-Walled Carbon Nanotubes: the Importance of Amorphous Carbon",
      "description": "Additional information about the carboxylated SWCNT calibration curve, AFM images, EDS results, solar simulator light and UVB lamp spectra, TEM image of\nparent carboxylated SWCNTs, XPS spectra of the dark control P3 sample and the irradiated P3 sample, and a table summarizing the kinetic parameters (PDF). \n\nThis dataset is associated with the following publication:\nHou, W., C. He, Y. Wang, D. Wang, and R. Zepp. Phototransformation-Induced Aggregation of Functionalized Single-Walled Carbon Nanotubes: The Importance of Amorphous Carbon.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3494–3502, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-sqvz-330",
      "keyword": [
        "calibration curve",
        "AFM images",
        "EDS results",
        "lamp spectra",
        "TEM image",
        "XPS spectra",
        "kinetic parameters",
        "SWCNTs",
        "nanomaterials",
        "phototransformations",
        "amorphous carbon"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "es5b04727_si_001.pd.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/330/es5b04727_si_001.pd.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-24",
      "references": [
        "https://doi.org/10.1021/acs.est.5b04727"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Database to support \"Quanitfying groundwater dependency of riparian surface hydrologic features using the exit gradient\" by Faulkner et al. 2016.",
      "description": "Collections of publically available secondary data used to develop the conclusions described in the journal article. \n\nThis dataset is associated with the following publication:\nFaulkner , B., S. Leibowitz , T. Canfield , and J. Groves. Quantifying groundwater dependency of riparian surface hydrologic features using the exit gradient.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  1-11, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-d25g-384",
      "keyword": [
        "exit gradient",
        "basin fill aquifer",
        "shallow groundwater management",
        "wetland management",
        "groundwater dependency of ecosystem services",
        "exit gradient; basin fill aquifer; shallow groundwater management; wetland management; groundwater dependency"
      ],
      "contactPoint": {
        "fn": "Azadeh Azadpour-Keeley",
        "hasEmail": "mailto:keeley.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "cala_owrd_science_hub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/384/cala_owrd_science_hub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-26",
      "references": [
        "https://doi.org/10.1002/hyp.10766"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Towards Universal Screening for Toxoplasmosis: Rapid, Cost-effective and Simultaneous Detection of Toxoplasma Anti-IgG, IgM and IgA Antibodies Using Very Small Serum Volumes",
      "description": "No dataset associated with this publication. This dataset is not publicly accessible because: This is a commentary and no data was generated. It can be accessed through the following means: There is no data associated with this commentary. Format: This is a commentary and no data was generated. \n\nThis dataset is associated with the following publication:\nAugustine, S. Towards Universal Screening for Toxoplasmosis: Rapid, Cost-effective and Simultaneous Detection of Toxoplasma Anti-IgG, IgM and IgA Antibodies Using Very Small Serum Volumes.   JOURNAL OF CLINICAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 56(7): 1-2, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-bzkt-293",
      "keyword": [
        "Toxoplasma gondii",
        "universal screening",
        "commentary"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Effects of Cr(III) and CR(VI) on nitrification inhibition as determined by SOUR, function-specific gene expression and 16S rRNA sequence analysis of wastewater nitrifying enrichments",
      "description": "Data generated to test nitrification inhibition of chromium. \n\nThis dataset is associated with the following publication:\nKapoor, V., M. Elk, X. Li, C. Impellitteri , and J. Santodomingo. Effects of Cr(III) and CR(VI) on nitrification inhibition as determined by SOUR, function-specific gene expression and 16S rRNA sequence analysis of wastewater nitrifying enrichments.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 147: 361-367, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-bk3v-396",
      "keyword": [
        "nitrification",
        "RNA"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "cDNA CN-_061715.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/396/cDNA%20CN-_061715.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2015.12.119"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conference Report: The 6th International Symposium on Waterborne Pathogens ",
      "description": "A review of current literature on the occurrence of waterborne pathogens in DW systems. This dataset is not publicly accessible because: I am using published data from a journal not generated by EPA. It can be accessed through the following means: N/A. Format: no unique data has been generated. \n\nThis dataset is associated with the following publication:\nRochelle, P., P. Klonicki, G. DiGiovanni, V. Hill, Y. Akagi, and E. Villegas. Conference Report: The 6th International Symposium on Waterborne Pathogens ISWP 2015.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 107(10): 24-32, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-2283-294",
      "keyword": [
        "drinking water",
        "drinking water distribution systems",
        "cryptosporidium",
        "Naeglaria",
        "legionella",
        "waterborne pathogens"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-21",
      "references": [
        "https://doi.org/10.5942/jawwa.2015.107.0156"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human infective potential of Cryptosporidium spp., Giardia duodenalis and Enterocytozoon bieneusi in urban wastewater treatment plant effluents",
      "description": "Cryptosporidiosis, giardiasis, and microsporidiosis are important waterborne diseases. In the\nstandard for wastewater treatment plant (WWTP) effluents in China and other countries, fecal\ncoliform is the only microbial indicator, raising concerns about the potential for pathogen\ntransmission through WWPT effluent reuse. In this study, we collected 50 effluent samples\n(30 L/sample) from three municipal WWTPs in Shanghai, China and analyzed for Cryptosporidium\nspp., Giardia duodenalis and Enterocytozoon bieneusi by microscopy and/or PCR. Moreover,\npropidium monoazide (PMA)-PCR was used to assess the viability of oocysts/cysts. The microscopy\nand PCR-positive rates for Cryptosporidium spp. were 62% and 40%, respectively. The occurrence\nrates of G. duodenalis were 96% by microscopy and 92–100% by PCR analysis of three genetic loci.\nFurthermore, E. bieneusi was detected in 70% (35/50) of samples by PCR. Altogether, ten\nCryptosporidium species or genotypes, two G. duodenalis genotypes, and 11 E. bieneusi genotypes\nwere found, most of which were human-pathogenic. The chlorine dioxide disinfection employed in\nWWTP1 and WWTP3 failed to inactivate the residual pathogens; 93% of the samples from WWTP1 and\n83% from WWTP3 did not meet the national standard on fecal coliform levels. Thus, urban WWTP\neffluents often contain residual waterborne human pathogens. \n\nThis dataset is associated with the following publication:\nMa, J., Y. Feng, Y. Hu, E. Villegas , and L. Xiao. Human infective potential of Cryptosporidium spp., Giardia duodenalis and Enterocytozoon bieneusi in urban wastewater treatment plant effluents.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 14(4): 411-423, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-dfnd-295",
      "keyword": [
        "giardia",
        "cryptosporidium",
        "wastewater",
        "microsporidia",
        "wastewater treatment plant",
        "occurrence",
        "water reuse"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "NO EPA DATASETS WERE GENERATED IN THIS STUDY.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/295/NO%20EPA%20DATASETS%20WERE%20GENERATED%20IN%20THIS%20STUDY.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-21",
      "references": [
        "http://jwh.iwaponline.com/content/early/2016/01/04/wh.2016.192"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field−Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry",
      "description": "The presence of silver nanoparticles (AgNPs) in aquatic environments could potentially cause adverse impacts on ecosystems and human health.  However, current understanding of the environmental fate and transport of AgNPs is still limited because their properties in complex environmental samples cannot be accurately determined.  In this study, the feasibility of using asymmetric flow field-flow fractionation (AF4) connected online with single particle inductively coupled plasma mass spectrometry (spICPMS) to detect and quantify AgNPs at environmentally relevant concentrations was investigated.  The AF4 channel had a thickness of 350 µm and its accumulation wall was a 10 kDa regenerated cellulose membrane.  A 0.02 % FL-70 surfactant solution was used as an AF4 carrier.  With 1.2 mL/min AF4 cross flow rate, 1.5 mL/min AF4 channel flow rate, and 5 ms spICPMS dwell time, the AF4–spICPMS can detect and quantify 40 – 80 nm AgNPs, as well as Ag-SiO2 nanoparticles (51.0 nm diameter Ag core and 21.6 nm SiO2 shell), with good recovery within 30 min.  This system was not only effective in differentiating and quantifying different types of AgNPs with similar hydrodynamic diameters, such as in mixtures containing Ag-SiO2 core-shell nanoparticles and 40 – 80 nm AgNPs, but also suitable for differentiating between 40 nm AgNPs and elevated dissolved Ag content.  The study results indicate that AF4–spICPMS is capable of detecting and quantifying AgNPs and other engineered metal- nanomaterials in environmental samples.  Nevertheless, further studies are needed before AF4–spICPMS can become a routine analytical technique. \n\nThis dataset is associated with the following publication:\nHuynh, K.A., E. Siska, E. Heithmar, S. Tadjiki, and S. Pergantis. Detection and Quantification of Silver Nanoparticles at Environmentally Relevant Concentrations Using Asymmetric Flow Field–Flow Fractionation Online with Single Particle Inductively Coupled Plasma Mass Spectrometry.   Analytical Chemistry. American Chemical Society, Washington, DC, USA, 88(9): 4909–4916, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-n2zk-210",
      "keyword": [
        "Silver",
        "particle size distribution",
        "Nanoparticles",
        "detection",
        "characterization",
        "environmental matrices"
      ],
      "contactPoint": {
        "fn": "Edward Heithmar",
        "hasEmail": "mailto:heithmar.ed@epa.gov"
      },
      "distribution": [
        {
          "title": "20160407 - Revised Supporting Information_Final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/210/20160407%20-%20Revised%20Supporting%20Information_Final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-11",
      "references": [
        "http://pubs.acs.org/doi/abs/10.1021/acs.analchem.6b00764"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/210/documents/Data%20Dictionary%20for%20Supporting%20Information.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput screening of chemical effects on steroidogenesis using H295R human adrenocortical carcinoma cells",
      "description": "Disruption of steroidogenesis by environmental chemicals can result in altered hormone levels causing adverse reproductive and developmental effects. A high-throughput assay using H295R human adrenocortical carcinoma cells was used to evaluate the effect of 2060 chemical samples on steroidogenesis via high-performance liquid chromatography followed by tandem mass spectrometry quantification of 10 steroid hormones, including progestagens, glucocorticoids, androgens, and estrogens. The study employed a 3 stage screening strategy. The first stage established the maximum tolerated concentration (MTC; ≥ 70% viability) per sample. The second stage quantified changes in hormone levels at the MTC whereas the third stage performed concentration-response (CR) on a subset of samples. At all stages, cells were prestimulated with 10 µM forskolin for 48 h to induce steroidogenesis followed by chemical treatment for 48 h. Of the 2060 chemical samples evaluated, 524 samples were selected for 6-point CR screening, based in part on significantly altering at least 4 hormones at the MTC. CR screening identified 232 chemical samples with concentration-dependent effects on 17β-estradiol and/or testosterone, with 411 chemical samples showing an effect on at least one hormone across the steroidogenesis pathway. Clustering of the concentration-dependent chemical-mediated steroid hormone effects grouped chemical samples into 5 distinct profiles generally representing putative mechanisms of action, including CYP17A1 and HSD3B inhibition. A distinct pattern was observed between imidazole and triazole fungicides suggesting potentially distinct mechanisms of action. From a chemical testing and prioritization perspective, this assay platform provides a robust model for high-throughput screening of chemicals for effects on steroidogenesis. \n\nThis dataset is associated with the following publication:\nKarmaus , A., C. Toole, D. Filer , K. Lewis, and M. Martin. (Toxicological Sciences) High-throughput screening of chemical effects on steroidogenesis using H295R human adrenocortical carcinoma cells.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    150(2): 323-332, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-x0kx-385",
      "keyword": [
        "cancer",
        "steroidogenesis",
        "chemical safety for sustainablity",
        "chemical safety research",
        "high-throughput toxicology",
        "ToxCast",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/MartinMatt/ToxCast_Steroidogenesis/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/MartinMatt/ToxCast_Steroidogenesis/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-02",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using ToxCast data to reconstruct dynamic cell state trajectories and estimate toxicological points of departure.",
      "description": "Background: High-content imaging (HCI) allows simultaneous measurement of multiple cellular phenotypic changes and is an important tool for evaluating the biological activity of chemicals.\r\nObjectives: Our goal was to analyze dynamic cellular changes using HCI to identify the “tipping point” at which the cells did not show recovery towards a normal phenotypic state.\r\nMethods: HCI was used to evaluate the effects of 967 chemicals (in concentrations ranging from 0.4 to 200 μM) on HepG2 cells over a 72-hr exposure period. The HCI end points included p53, c-Jun, histone H2A.x, α-tubulin, histone H3, alpha tubulin, mitochondrial membrane potential, mitochondrial mass, cell cycle arrest, nuclear size, and cell number. A computational model was developed to interpret HCI responses as cell-state trajectories.\r\nResults: Analysis of cell-state trajectories showed that 336 chemicals produced tipping points and that HepG2 cells were resilient to the effects of 334 chemicals up to the highest concentration (200 μM) and duration (72 hr) tested. Tipping points were identified as concentration-dependent transitions in system recovery, and the corresponding critical concentrations were generally between 5 and 15 times (25th and 75th percentiles, respectively) lower than the concentration that produced any significant effect on HepG2 cells. The remaining 297 chemicals require more data before they can be placed in either of these categories.\r\nConclusions: These findings show the utility of HCI data for reconstructing cell state trajectories and provide insight into the adaptation and resilience of in vitro cellular systems based on tipping points. Cellular tipping points could be used to define a point of departure for risk-based prioritization of environmental chemicals. \n\nThis dataset is associated with the following publication:\nShah , I., W. Setzer , J. Jack, K. Houck , R. Judson , T. Knudsen , J. Liu, M. Martin , D. Reif, A.M. Richard , R.S. Thomas , K. Crofton , D.J. Dix , and R.J. Kavlock. (Envir. Health Perspect.)   Using ToxCast data to reconstruct dynamic cell state trajectories and estimate toxicological points of departure.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA,  1-33, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-dncw-386",
      "keyword": [
        "ToxCast",
        "virtual embryo",
        "virtual tissues",
        "virtual liver",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/ShahImran/PODTipping_Point/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/ShahImran/PODTipping_Point/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "https://doi.org/10.1289/ehp.1409029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rumsey and Walker_AMT_2016_Table 1",
      "description": "Table summarizes instrument analytical detection limits, including liquid and equivalent air concentrations. \n\nThis dataset is associated with the following publication:\nRumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-fn3b-392",
      "keyword": [
        "detection limit",
        "MARGA",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Rumsey and Walker_AMT_2016_Table 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/392/Rumsey%20and%20Walker_AMT_2016_Table%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-17",
      "references": [
        "https://doi.org/10.5194/amt-9-2581-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rumsey and Walker_AMT_2016_Table 2.xlsx",
      "description": "Table summarizes instrument precision assessed by collocating the two sample boxes. Precision is quantified as the standard deviation of the residuals of an orthogonal least squares regression of concentrations from the two sample boxes. This allows for an estimation of gradient precision and ultimately gradient and flux detection limits. \n\nThis dataset is associated with the following publication:\nRumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-fn3b-393",
      "keyword": [
        "flux detection limit",
        "gradient detection limit",
        "colocation",
        "orthogonal least squares",
        "MARGA",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Rumsey and Walker_AMT_2016_Table 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/393/Rumsey%20and%20Walker_AMT_2016_Table%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-17",
      "references": [
        "https://doi.org/10.5194/amt-9-2581-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rumsey and Walker_AMT_2016_Figure 1.xlsx",
      "description": "Figure summarizes diurnal profiles of uncertainty in the chemical gradient and transfer velocity measurements from which fluxes are calculated. \n\nThis dataset is associated with the following publication:\nRumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-fn3b-399",
      "keyword": [
        "gradient uncertainty",
        "transfer velocity",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Rumsey and Walker_AMT_2016_Figure 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/399/Rumsey%20and%20Walker_AMT_2016_Figure%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-17",
      "references": [
        "https://doi.org/10.5194/amt-9-2581-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rumsey and Walker_AMT_2016_Figure 2.xlsx",
      "description": "Figure summarizes uncertainty (error) in hourly gradient flux measurements by individual analyte. Flux uncertainty is derived from estimates of uncertainty in chemical gradients and turbulent transfer velocity. \n\nThis dataset is associated with the following publication:\nRumsey, I. Application of an online ion chromatography-based instrument for gradient flux measurements of speciated nitrogen and sulfur.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 9(6): 2581-2592, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-fn3b-400",
      "keyword": [
        "flux uncertaintly",
        "flux gradient method",
        "MARGA",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Rumsey and Walker_AMT_2016_Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/400/Rumsey%20and%20Walker_AMT_2016_Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-17",
      "references": [
        "https://doi.org/10.5194/amt-9-2581-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Draft genome sequence of two Shingopyxis sp. strains H107 and H115 isolated from a chloraminated drinking water distriburion system simulator",
      "description": "Draft genome sequence of two Shingopyxis sp. strains H107 and H115 isolated from a chloraminated drinking water distriburion system simulator. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Pfaller , and R. Revetta. Draft Genome of Two Sphingopyxis sp. Strains, Dominant Members of the Bacterial Community Associated with a Drinking Water Distribution System Simulator.   Genome Announcements. American Society for Microbiology, Washington, DC, USA, 4(2): e00183-16, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-kps7-405",
      "keyword": [
        "drinkig water",
        "genome",
        "Shingopyxis",
        "antibiotic resistance",
        "genes",
        "drinking water",
        "Sphingopyxis"
      ],
      "contactPoint": {
        "fn": "Randy Revetta",
        "hasEmail": "mailto:revetta.randy@epa.gov"
      },
      "distribution": [
        {
          "title": "H107.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/405/H107.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "H115.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/405/H115.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/genbank/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/genbank/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-01",
      "references": [
        "https://doi.org/10.1128/genomea.00183-16"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bench-Scale and Pilot-Scale Treatment Technologies for the Removal of Total Dissolved Solids from Coal Mine Water: A Review.  ",
      "description": "There is no database. This dataset is not publicly accessible because: This is a review manuscript, there was not data generated under this effort. All data used was secondary data and sources of the data were identified in the manuscript. It can be accessed through the following means: there is no database. Format: There is no database. \n\nThis dataset is associated with the following publication:\nPinto, P., S. Al-Abed , D. Balz, B. Butler , R. Landy , and S. Smith. Bench-Scale and Pilot-Scale Treatment Technologies for the Removal of Total Dissolved Solids from Coal Mine Water: A Review.  Robert Kleinmann  Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 35(1): 94-112, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-rr5h-406",
      "keyword": [
        "There is no database",
        "adsorption",
        "bioremediation",
        "desalination",
        "distillation",
        "ion exchange",
        "precipitation",
        "reverse osmosis"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-28",
      "references": [
        "https://doi.org/10.1007/s10230-015-0351-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Atmospheric Environment Publication in 2016, Characterization of organophosphorus flame retardants’ sorption on building materials and consumer products",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains OPFR sorption concentrations on building materials and consumer products and comparison to the i-SVOC model predictions. \n\nThis dataset is associated with the following publication:\nLiu , X., M. Allen, and N. Roache. Characterization of organophosphorus flame retardants' sorption on building materials and consumer products.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 140: 333-341, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-6q5d-164",
      "keyword": [
        "TCPP",
        "TCEP",
        "TDCPP",
        "Sorption concentration",
        "OPFRs",
        "Organophosphorus flame retardants",
        "Material-air partition coefficient",
        "Material-phase diffusion coefficient",
        "Sink"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-6q5d_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/164/XiaoyuLiu_A-6q5d_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-04",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.06.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gulf of Mexico Nutrient, carbon, CTD data",
      "description": "Gulf of Mexico cruise, nearshore and CTD data collected by the USEPA during 2002 - 2008. \n\nThis dataset is associated with the following publications:\nPauer , J., T. Feist, A. Anstead, P. DePetro, W. Melendez, J. Lehrter , M. Murrell , X. Zhang, and D. Ko. A modeling study examining the impact of nutrient boundaries on primary production on the Louisiana Continental Shelf.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 328: 136-147, (2016).\nFeist, T., J. Pauer , W. Melendez, J. Lehrter , P. DePetro, K. Rygwelski , D. Ko, and R. Kreis. Modeling the relative importance of nutrient and carbon loads, boundary fluxes, and sediment fluxes on Gulf of Mexico hypoxia.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(16): 88713-8721, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-76hn-404",
      "keyword": [
        "Gulf of Mexico",
        "Hypoxia",
        "nutrients",
        "CTD",
        "Nutrient loadings"
      ],
      "contactPoint": {
        "fn": "James Pauer",
        "hasEmail": "mailto:pauer.james@epa.gov"
      },
      "distribution": [
        {
          "title": "GED GoM Nutrients for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/404/GED%20GoM%20Nutrients%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA_GED_INSHORE for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/404/EPA_GED_INSHORE%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GED GoM CTD for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/404/GED%20GoM%20CTD%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-27",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2016.02.007",
        "https://doi.org/10.1021/acs.est.6b01684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Building and Environment Publication in 2016, A reference method for measuring emissions of SVOCs in small chambers ",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains DEHP air concentrations in the emission test chamber. \n\nThis dataset is associated with the following publication:\nWu, Y., S. Cox, Y. Xu, Y. Liang, D. Wong, X. Liu, J. Benning, P. Clausen, Y. Zhang, C. Liu, and J. Little. A Reference Method for Measuring Emissions of SVOCs in Small Chambers.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 95: 126-132, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-pk16-188",
      "keyword": [
        "Semi-volatile organic compounds",
        "DEHP",
        "Phthalates",
        "Inter-laboratory study",
        "Reference method"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-pk16_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/188/XiaoyuLiu_A-pk16_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-12",
      "references": [
        "https://doi.org/10.1016/j.buildenv.2015.08.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Atmospheric Environment Publication in 2016, Source emission and model evaluation of formaldehyde from composite and solid wood furniture in a full-scale chamber ",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains formaldehyde air concentrations in the emission test chamber and source emission model simulation results. \n\nThis dataset is associated with the following publication:\nLiu , X., M. Mason , Z. Guo , K. Krebs , and N. Roache. Source emission and model evaluation of formaldehyde from composite and solid wood furniture in a full-scale chamber.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 122: 561-568, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-2bvs-189",
      "keyword": [
        "HCHO",
        "emission factor",
        "Formaldehyde",
        "Emissions from furnishings",
        "Source emission model",
        "Full-scale chamber",
        "First-order decay model",
        "Power-law decay model"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-2bvs_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/189/XiaoyuLiu_A-2bvs_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-12",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2015.09.062"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating the hydrologic impacts of land cover and climate changes in a semi-arid watershed",
      "description": "Changes in climate and land cover are among the principal variables affecting watershed hydrology.\nThis paper uses a cell-based model to examine the hydrologic impacts of climate and land-cover changes in the\nsemi-arid Lower Virgin River (LVR) watershed located upstream of Lake Mead, Nevada, USA. The cell-based\nmodel is developed by considering direct runoff based on the Soil Conservation Service - Curve Number (SCSCN)\nmethod and surplus runoff based on the Thornthwaite water balance theory. After calibration and validation,\nthe model is used to predict LVR discharge under future climate and land-cover changes. The hydrologic\nsimulation results reveal climate change as the dominant factor and land-cover change as a secondary factor in\nregulating future river discharge. The combined effects of climate and land-cover changes will slightly increase\nriver discharge in summer but substantially decrease discharge in winter. This impact on water resources deserves\nattention in climate change adaptation planning. \n\nThis dataset is associated with the following publication:\nChen, H., S. Tong, H. Yang, and J. Yang. Simulating the hydrologic impacts of land cover and climate changes in a semi-arid watershed.   Hydrological Sciences Journal. IAHS LIMITED, Oxford,  UK, 60(10): 1739-1758, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-v6xk-362",
      "keyword": [
        "land-cover change; climate change adaptation; hydrologic impacts; cell-based modeling",
        "Regional adaptation case studies for sustainable water resources"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Lake Mead_Colorado River_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/362/Lake%20Mead_Colorado%20River_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NCDC_Monthly Climate Data_LowerVStations.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/362/NCDC_Monthly%20Climate%20Data_LowerVStations.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-09",
      "references": [
        "http://www.tandfonline.com/doi/abs/10.1080/02626667.2014.948445#preview"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water consumption estimates of the biodiesel process in the US",
      "description": "Electronic supplementary material The online version of this\narticle (doi:10.1007/s10098-015-1032-8) contains supplementary\nmaterial, which is available to authorized users. \n\nThis dataset is associated with the following publication:\nTu, Q., M. Lu, J. Yang , and D. Scott. Water Consumption Estimates of Biodiesel Process in the US.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 18(2): 507-516, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-4mwc-358",
      "keyword": [
        "biodiesel",
        "Water consumption",
        "Irrigation"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information_Final_7000_sub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/358/Supporting%20Information_Final_7000_sub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tu et al (15) Wat consumption of biofuel in US.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/358/Tu%20et%20al%20%2815%29%20Wat%20consumption%20of%20biofuel%20in%20US.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-29",
      "references": [
        "http://link.springer.com/article/10.1007%2Fs10098-015-1032-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Near-road ultrafine particle and carbon monoxide measurements at North Carolina locations with and without roadside barriers",
      "description": "These data are measurement time series collected onboard multiple mobile monitoring vehicles.  The data are at a high time resolution (seconds to minutes). \n\nThis dataset is associated with the following publication:\nLin, M., G. Hagler , R. Baldauf , V. Isakov , and A. Khlystov. The Effects of Vegetation Barriers on Near-road Ultrafine Particle Number and Carbon Monoxide Concentrations.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 553: 372-379, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-djhn-218",
      "keyword": [
        "near-road",
        "vegetation",
        "mitigation",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "Hagler_SDMP_DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/218/Hagler_SDMP_DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "datasets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/218/datasets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.02.035"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set for Characterization of nanoparticles in wood based consumer products",
      "description": "The data include is for all of the tables and figures associated with the published journal article. \n\nThis dataset is associated with the following publication:\nPlatten, W., N. Sylvest, C. Warren, M. Arambewela, S. Harmon , K. Bradham, K. Rogers, T. Thomas, and T. Luxton. Estimating Dermal Exposure to Copper Nanoparticles from the Surfaces of Pressure-Treated Lumber and Implications for Toxicity.  D. Barcelo Culleres, and J. Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 548: 441-449, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-8w9r-391",
      "keyword": [
        "Pressure-treated Wood",
        "Nanoparticle",
        "Copper Exposure",
        "Micronized Copper Azole",
        "Ionic Copper",
        "Copper Speciation"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data-Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/391/Data-Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2015.12.108"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of reservoir water-level fluctuations on mercury methylation downstream of the historic Black Butte mercury mine, OR.",
      "description": "The data set contains the raw data used to develop the figures and tables associated with the published manuscript. \n\nThis dataset is associated with the following publication:\nEckley , C., T. Luxton , J. McKernan , J. Goetz , and J. Goulet. Influence of Reservoir Water-Level Fluctuations on Mercury Methylation Downstream of the Historic Black Butte Mercury Mine, OR.  Michael Kersten  APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 61: 284-293, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-bp03-408",
      "keyword": [
        "mercury",
        "methylmercury",
        "reservoir",
        ": aqueous chemistry",
        "sediment",
        "mining"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data-Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/408/Data-Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-21",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2015.06.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The evaluation of hollow-fiber ultrafiltration and celite concentration of enteroviruses, adenoviruses and bacteriophage from different water matrices",
      "description": "The data to support the evaluation of hollow-fiber ultrafiltration and celite concentration of enteroviruses, adenoviruses and bacteriophage from different water matrices. \n\nThis dataset is associated with the following publication:\nRhodes , E., E. Huff, D. Hamilton, and J. Jones. The evaluation of hollow-fiber ultrafiltration and celite concentration of enteroviruses, adenoviruses and bacteriophage from different water matrices.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 228(2): 31-38, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-cc2s-279",
      "keyword": [
        "Ultrafiltration",
        "Viruses",
        "Bacteriophage",
        "Water Concentration"
      ],
      "contactPoint": {
        "fn": "Eric Rhodes",
        "hasEmail": "mailto:rhodes.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "HFUF Virus Summary Table (1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/279/HFUF%20Virus%20Summary%20Table%20%281%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Complete Genome of Stachybotrys chartarum strain 51-11",
      "description": "Complete genome sequence of the fungus Stachybotrys chartarum.  Sequences can be used to identify genes, genetic pathways, gene clusters, genetic organization, etc. utilizing appropriate bioinformatics software. \n\nThis dataset is associated with the following publication:\nBetancourt , D., T. Dean , J. Kim, and J. Levy. Genome sequence of Stachybotrys chartarum Strain 51-11.   Genome Announcements. American Society for Microbiology, Washington, DC, USA, 3(6): 1114-1115, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-jq2s-68",
      "keyword": [
        "stachybotrys chartarum",
        "complete genome",
        "fungi",
        "genome",
        "indoor biocontaminants"
      ],
      "contactPoint": {
        "fn": "Timothy Dean",
        "hasEmail": "mailto:dean.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "Schartarum5111_hybrid_illumina_pacbio.fasta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/68/Schartarum5111_hybrid_illumina_pacbio.fasta.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/Traces/wgs/wgsviewer.cgi?val=LDEE01&search=LDEE01000000&display=contigs",
          "accessURL": "https://www.ncbi.nlm.nih.gov/Traces/wgs/wgsviewer.cgi?val=LDEE01&search=LDEE01000000&display=contigs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-01",
      "references": [
        "https://doi.org/10.1128/genomea.01114-15"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data used to generate figures 2 through 6 in Biological Responses of Raw 264.7 Macrophage Exposed to Two Strains of Stachybotrys chartarum Spores Grown on Four Different Wallboard Types manuscript.",
      "description": "Excel files containing raw data used to generate figures throughout manuscript. \n\nThis dataset is associated with the following publication:\nDean , T., D. Betancourt , J. Kim, L. Harvey, A. Evans, and B. Grace. Biological Responses of Raw 264.7 Macrophage Exposed to Two Strains of Stachybotrys chartarum Spores Grown on Four Different Wallboard Types.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(7): 303-307, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8w9q-74",
      "keyword": [
        "Raw 264.7 cells",
        "ApoTox-Glo",
        "Stachybotrys",
        "cytokine",
        "MHC Class II",
        "stachybotrys chartarum",
        "macrophage",
        "toxicity",
        "wallboard"
      ],
      "contactPoint": {
        "fn": "Timothy Dean",
        "hasEmail": "mailto:dean.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "Biological Response Raw Data in Excel format.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/74/Biological%20Response%20Raw%20Data%20in%20Excel%20format.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-13",
      "references": [
        "https://doi.org/10.3109/08958378.2016.1170909"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality modeling in the dead end sections of drinking water (Supplement)",
      "description": "Dead-end sections of drinking water distribution networks are known to be problematic zones in terms of water quality degradation. Extended residence time due to water stagnation leads to rapid reduction of disinfectant residuals allowing the regrowth of microbial pathogens. Water quality models developed so far apply spatial aggregation and temporal averaging techniques for hydraulic parameters by assigning hourly averaged water demands to the main nodes of the network. Although this practice has generally resulted in minimal loss of accuracy for the predicted disinfectant concentrations in main water transmission lines, this is not the case for the peripheries of the distribution network. This study proposes a new approach for simulating disinfectant residuals in dead end pipes while accounting for both spatial and temporal variability in hydraulic and transport parameters. A stochastic demand generator was developed to represent residential water pulses based on a non-homogenous Poisson process. Dispersive solute transport was considered using highly dynamic dispersion rates. A genetic algorithm was used to\ncalibrate the axial hydraulic profile of the dead-end pipe based on the different demand shares of the withdrawal nodes. A parametric sensitivity analysis was done to assess the model performance under variation of different simulation parameters. A group of Monte-Carlo ensembles was carried out to investigate the influence of spatial and temporal variations in flow demands on the simulation accuracy.\nA set of three correction factors were analytically derived to adjust residence time, dispersion rate and wall demand to overcome simulation error caused by spatial aggregation approximation. The current model results show better agreement with field-measured concentrations of conservative fluoride tracer and free chlorine disinfectant than the simulations of recent advection dispersion reaction models\npublished in the literature. Accuracy of the simulated concentration profiles showed significant dependence on the spatial distribution of the flow demands compared to temporal variation. \n\nThis dataset is associated with the following publication:\nAbokifa, A., J. Yang , C. Lo, and P. Biswas. Water Quality Modeling in the Dead End Sections of Drinking Water Distribution Networks.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 18(89): 107-117, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-h9wf-367",
      "keyword": [
        "Chlorine",
        "Dead end pipe",
        "Advection dispersion",
        "Genetic algorithm",
        "Stochastic demands",
        "Spatial distribution",
        "Correction factors"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Material_Final_YangYingping_A-h9wf_20160921.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/367/Supplementary%20Material_Final_YangYingping_A-h9wf_20160921.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Abokifa et al (16) Deadend model.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/367/Abokifa%20et%20al%20%2816%29%20Deadend%20model.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-14",
      "references": [
        "https://www.researchgate.net/publication/284233815_Water_Quality_Modeling_in_the_Dead_End_Sections_of_Drinking_Water_Distribution_Networks"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Metabolic and genomic analysis elucidates strain-level variation in Microbacterium spp. isolated from chromate contaminated sediment",
      "description": "The data is in the form of genomic sequences deposited in a public database, growth curves, and bioinformatic analysis of sequences. \n\nThis dataset is associated with the following publication:\nHenson, M., J. Santodomingo , P. Kourtev, R. Jensen, and D. Learman. Metabolic and genomic analysis elucidates strain-level variation in Microbacterium spp. isolated from chromate contaminated sediment.   PeerJ. PeerJ Inc., Corte Madera, CA, USA,  e1395, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-80gk-394",
      "keyword": [
        "heavy metal",
        "genomics"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Henson et al dataset.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/394/Henson%20et%20al%20dataset.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-04-01",
      "references": [
        "https://doi.org/10.7717/peerj.1395"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phosphate adsorption using modified iron oxide-based sorbents",
      "description": "Phosphate Removal. \n\nThis dataset is associated with the following publication:\nLalley , J., C. Han , G. RamMohan , T. Speth , J. Garland , M. Nadagouda , and D. Dionysiou. Phosphate Removal using Modified Bayoxide®E33 Adsorption Media.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, issue}: 96-107, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-51cb-351",
      "keyword": [
        "Phosphate Removal",
        "nutrients",
        "adsorption",
        "Nutrient removal/recovery"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/351/Supplemental.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-19",
      "references": [
        "http://pubs.rsc.org/en/Content/ArticleLanding/2015/EW/c4ew00020j#divAbstract"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/351/documents/Supplemental.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": " Measuring nitrification inhibition in wastewater treatment systems: current state of science and fundamental research needs",
      "description": "There is no data as no experiments were conducted (literature review). \n\nThis dataset is associated with the following publication:\nLi , X., V. Kapoor , C. Impellitteri , and K. Chandran. Measuring nitrification inhibition in wastewater treatment systems: current state of science and fundamental research needs.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 46(3): 249-289, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-79cw-397",
      "keyword": [
        "nitrification inhibition",
        "nitrification",
        "sequence"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Li et al dataset.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/397/Li%20et%20al%20dataset.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1080/10643389.2015.1085234"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NLCD 2011 database",
      "description": "National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2011 provides - for the first time - the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to 2011. As with two previous NLCD land cover products NLCD 2011 keeps the same 16-class land cover classification scheme that has been applied consistently across the United States at a spatial resolution of 30 meters. NLCD 2011 is based primarily on a decision-tree classification of circa 2011 Landsat satellite data. \n\nThis dataset is associated with the following publication:\nHomer, C., J. Dewitz, L. Yang, S. Jin, P. Danielson, G. Xian, J. Coulston, N. Herold, J. Wickham , and K. Megown. Completion of the 2011 National Land Cover Database for the Conterminous United States – Representing a Decade of Land Cover Change Information.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING. American Society for Photogrammetry and Remote Sensing, Bethesda, MD, USA, 81(0): 345-354, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-3txd-118",
      "keyword": [
        "land cover",
        "Landsat",
        "Impervious cover",
        "Forest canopy density",
        "land cover change",
        "climate change",
        "radiative forcing",
        "snow-cover albedo",
        "snow-free albedo"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mrlc.gov/data",
          "accessURL": "https://www.mrlc.gov/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NLCD - MODIS land cover- albedo dataset for the continental United States",
      "description": "The NLCD-MODIS land cover-albedo database integrates high-quality MODIS albedo observations with areas of homogeneous land cover from NLCD. The spatial resolution (pixel size) of the database is 480m-x-480m aligned to the standardized UGSG Albers Equal-Area projection. The spatial extent of the database is the continental United States. \n\nThis dataset is associated with the following publication:\nWickham , J., C.A. Barnes, and T. Wade. Combining NLCD and MODIS to Create a Land Cover-Albedo Dataset for the Continental United States.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 170(0): 143-153, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-3txd-117",
      "keyword": [
        "climate change",
        "land cover change",
        "Landsat",
        "radiative forcing",
        "snow-cover albedo",
        "snow-free albedo"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mrlc.gov/data",
          "accessURL": "https://www.mrlc.gov/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.mrlc.gov/nlcdalbedo.php"
      },
      "accessRights": "public"
    },
    {
      "title": "Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information",
      "description": "Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithmic, automated approach to evaluate the utility of using in vitro bioactivity data (“bioactivity descriptors”, from EPA’s ToxCast program) in conjunction with chemical descriptor information to derive local validity domains (specific sets of nearest neighbors) to facilitate read-across for a number of in vivo repeated dose toxicity study types. Over 3400 different chemical structure descriptors were generated for a set of 976 chemicals and supplemented with the outcomes from 821 in vitro assays. The read-across prediction for a given chemical was based on the similarity weighted endpoint outcomes of its nearest neighbors. The approach enabled a performance baseline for read-across predictions of specific study outcomes to be established. Bioactivity descriptors were often found to be more predictive of in vivo toxicity outcomes than chemical descriptors or a combination of both. This generic read across (GenRA) is intended to form a first step in systemizing read-across prediction and serves as a useful tool as part of a screening level hazard assessment for new untested chemicals. \n\nThis dataset is associated with the following publication:\nShah , I., J. Liu , R.S. Judson , R.S. Thomas , and G. Patlewicz. (Reg. Tox. Pharm.) Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 79: 12-24, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-6t1n-421",
      "keyword": [
        "ToxCast",
        "sustainable chemistry",
        "human health risk assessment",
        "nearest neighbors",
        "qsar",
        "bioactivity",
        "DSSTox",
        "Chemistry Dashboard",
        "Read Across"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/Comptox/NCCT_Publication_Data/ShahImran/Read_Across/",
          "accessURL": "https://gaftp.epa.gov/Comptox/NCCT_Publication_Data/ShahImran/Read_Across/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-09",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2016.05.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space",
      "description": "Chemical toxicity can arise from disruption of specific biomolecular functions or through more generalized cell stress and cytotoxicity-mediated processes. Here, concentration-dependent responses of 1063 chemicals including pharmaceuticals, natural products, pesticidals, consumer, and industrial chemicals across a diverse battery of 821 in vitro assay endpoints from 7 high-throughput assay technology platforms were analyzed in order to better distinguish between these types of activities. Both cell-based and cell-free assays showed a rapid increase in the frequency of responses at concentrations where cell stress / cytotoxicity responses were observed in cell-based assays. Chemicals that were positive on at least two viability/cytotoxicity assays within the concentration range tested (typically up to 100 M) activated a median of 12% of assay endpoints while those that were not cytotoxic in this concentration range activated 1.3% of the assays endpoints. The results suggest that activity can be broadly divided into: (1) specific biomolecular interactions against one or more targets (e.g., receptors or enzymes) at concentrations below which overt cytotoxicity-associated activity is observed; and (2) activity associated with cell stress or cytotoxicity, which may result from triggering of specific cell stress pathways, chemical reactivity, physico-chemical disruption of proteins or membranes, or broad low-affinity non-covalent interactions. Chemicals showing a greater number of specific biomolecular interactions are generally designed to be bioactive (pharmaceuticals or pesticidal active ingredients), while intentional food-use chemicals tended to show the fewest specific interactions. The analyses presented here provide context for use of these data in ongoing studies to predict in vivo toxicity from chemicals lacking extensive hazard assessment. \n\nThis dataset is associated with the following publication:\nJudson , R., K. Houck , M. Martin , A. Richard , T. Knudsen , I. Shah , S. Little , J. Wambaugh , W. Setzer , P. Kothiya , J. Phuong , D. Filer , D. Smith , D. Reif, D. Rotroff, N. Kleinstreuer, N. Sipes, M. Xia, R. Huang, K. Crofton , and R. Thomas. (Toxicological Sciences) Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     1-47, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-x0kx-419",
      "keyword": [
        "cytotoxicity",
        "chemical safety for sustainablity",
        "chemical safety research",
        "high-throughput toxicology",
        "ToxCast",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/CytotoxBurst",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/CytotoxBurst",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-28",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Is Skin penetration a determining factor in skin sensitisation potential and potency? Refuting the notion of a LogKow threshold for Skin Sensitisation",
      "description": "t is widely accepted that substances that cannot penetrate through the skin will not be sensitizers. LogKow and molecular weight (MW) have been used to set thresholds for sensitization potential. Highly hydrophilic substances e.g. LogKow ≤ 1 are expected not to penetrate effectively to induce sensitization. To investigate whether LogKow >1 is a true requirement for sensitization, a large dataset of substances that had been evaluated for their skin sensitization potential under Registration, Evaluation, Authorisation and restriction of CHemicals (REACH), together with available measured LogKow values was compiled using the OECD eChemPortal. The incidence of sensitizers relative to non-sensitizers above and below a LogKow of 1 was explored. Reaction chemistry principles were used to explain the sensitization observed for the subset of substances with a LogKow ≤0. 1482 substances were identified with skin sensitization data and measured LogKow values. 525 substances had a measured LogKow ≤ 1, 100 of those were sensitizers. There was no significant difference in the incidence of sensitizers above and below a LogKow of 1. Reaction chemistry principles that had been established for lower MW and more hydrophobic substances were found to be still valid in rationalizing the skin sensitizers with a LogKow ≤ 0. The LogKow threshold arises from the widespread misconception that the ability to efficiently penetrate the stratum corneum is a key determinant of sensitization potential and potency. \n\nThis dataset is associated with the following publication:\nFitzpatrick, J., D. Roberts, and G. Patlewicz. (Journal of Applied Toxicology) Is skin penetration a determining factor in skin sensitisation potential and potency? Refuting the notion of a LogKow threshold for Skin Sensitisation.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-6t1n-316",
      "keyword": [
        "skin sensitization",
        "DSSTox",
        "Chemistry Dashboard",
        "Read Across"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/LOGKOW_Skin_Sensistization/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/LOGKOW_Skin_Sensistization/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-29",
      "references": [
        "https://doi.org/10.1002/jat.3354"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Concentrations of individual fine particulate matter components in the United States around July 4th ",
      "description": "Data used in these analyses was obtained from publically-available sources, specifically the EPA's AirNow website (https://www.epa.gov/outdoor-air-quality-data). The dataset provided includes the subset of data from AirNow that was used in our analyses. \n\nThis dataset is associated with the following publication:\nDickerson, A., A. Benson, B. Buckley, and E. Chan. Concentrations of individual fine particulate matter components in the United States around July 4th.   Air Quality, Atmosphere & Health. Springer Netherlands, NETHERLANDS,  1-10, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "A-qfvc-338",
      "keyword": [
        "air quality",
        "Ambient air quality",
        "Fireworks",
        "air pollution",
        "Fine Particulate Matter"
      ],
      "contactPoint": {
        "fn": "Elizabeth Chan",
        "hasEmail": "mailto:chan.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw speciation data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/338/Raw%20speciation%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-16",
      "references": [
        "http://link.springer.com/article/10.1007/s11869-016-0433-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/338/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Coastal 2010: Site Information, Hydrographic Profile, Water Chemistry",
      "description": "Data from the National Aquatic Resource Surveys:  \nThe following data are available for download as comma separated values (.csv) files. Sort the table using the pull down menus or headers to more easily locate the data. Right click on the file name and select Save Link As to save the file to your computer. Make sure to also download the companion metadata file (.txt) for the list of field labels. See the survey technical document for more information on the data analyses. \n\nThis dataset is associated with the following publications:\nYurista , P., J. Kelly , and J. Scharold. Great Lakes nearshore-offshore: Distinct water quality regions.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42: 375-385, (2016).\nKelly , J., P. Yurista , M. Starry, J. Scharold , W. Bartsch , and A. Cotter. The first US National Coastal Condition Assessment survey in the Great Lakes: Development of the GIS frame and exploration of spatial variation in nearshore water quality results.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 41: 1060-1074, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-98sq-382",
      "keyword": [
        "nearshore",
        "offshore",
        "water quality",
        "National Coastal Condition Assessment",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Jill Scharold",
        "hasEmail": "mailto:scharold.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-09",
      "references": [
        "https://doi.org/10.1016/j.jglr.2015.12.002",
        "https://doi.org/10.1016/j.jglr.2015.09.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA data for EMMA of Peatland Discharge to an Alaskan Stream Journal of Hydrology 2015",
      "description": "This dataset contains primarily the EPA generated data for the EMMA (End-Member-Mixing Analysis) model that was presented in the associated J. of Hydrology (2015) publication.  Part of the data for the EMMA and all the data for the water budget  were not produced by EPA and were not included here.  EPA did the analyses for SO4, Cl, and K and these results are in this dataset.  An independent set of lab analysis was done by a non-EPA lab for K and this data is included as one quality control measure.  The field collections of the samples for all of the data were collected jointly between several EPA field scientists along with the non-EPA cooperative agreement principal investigator and primary author of the J. of Hydrology (2015) publication.  The site description data along with site locations are given in the dataset. \n\nThis dataset is associated with the following publication:\nGracz, M., M. Moffett , D. Siegel, and P. Glaser. Analyzing peatland discharge to streams in an Alaskan Watershed: An integration of end-member mixing analysis and a water balance approach.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 530: 667-676, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-8672-411",
      "keyword": [
        "SO4",
        "potassium K",
        "chloride",
        "end-member",
        "inter-laboratory",
        "mixing zone",
        "ecological function",
        "headwater streams",
        "peatlands",
        "wetlands",
        "stream flow",
        "EMMA",
        "Watershed",
        "functional assessment"
      ],
      "contactPoint": {
        "fn": "Mary Moffett",
        "hasEmail": "mailto:moffett.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "MoffettMary_A-8672_Dataset1_20160928_SciHub_JofHydrology2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/411/MoffettMary_A-8672_Dataset1_20160928_SciHub_JofHydrology2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-28",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2015.09.072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Sources for NetZero Ft Carson Model ",
      "description": "Table of values used to parameterize and evaluate the Ft Carson NetZero integrated Model with published reference sources for each value. \n\nThis dataset is associated with the following publication:\nProcter, A., O. Kaplan , and R. Araujo. Net Zero Fort Carson: Integrating Energy, Water, and Waste Strategies to Lower the Environmental Impact of a Military Base.   JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA,  online, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-573t-291",
      "keyword": [
        "NetZero",
        "sustainability",
        "systems modeling"
      ],
      "contactPoint": {
        "fn": "Rochelle Araujo",
        "hasEmail": "mailto:araujo.rochelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Araujo SDM Data sources for NetZero Model 20160909.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/291/Araujo%20SDM%20Data%20sources%20for%20NetZero%20Model%2020160909.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-15",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1111/jiec.12359/abstract"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Fusion approach for spatial analysis of speciated PM2.5 across time",
      "description": "speciated pm2.5 monitoring data and total pm2.5 monitoring data. \n\nThis dataset is associated with the following publication:\nRundel, C., E. Schliep, A. Gelfand, and D. Holland. A data fusion approach for spatial analysis of speciated PM2:5 across time.   Annals of Applied Statistics. Institute of Mathematical Statistics, Beachwood, OH, USA, 26(0): 515-526, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-70s4-214",
      "keyword": [
        "downscaling",
        "speciated fine particulate matter"
      ],
      "contactPoint": {
        "fn": "David Holland",
        "hasEmail": "mailto:holland.david@epa.gov"
      },
      "distribution": [
        {
          "title": "paper_data.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/214/paper_data.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mild Thyroid Hormone Insufficiency During Development Compromises Activity-Dependent Neuroplasticity in the Hippocampus of Adult Male Rats",
      "description": "behavioral measures of learning and memory in adult offspring of rats treated with thyroid hormone synthesis inhibitor, propylthiouracil.\nElectrophysiological measures of 'memory' in form of plasticity model known as long term potentiation (LTP)\nMolecular changes induced by LTP. \n\nThis dataset is associated with the following publication:\nGilbert , M., K. Sanchez-Huerta, and C. Wood. Mild Thyroid Hormone Insufficiency During Development Compromises Activity-Dependent Neuroplasticity in the Hippocampus of Adult Make Rats.   ENDOCRINOLOGY. Endocrine Society,    157(2): 774-87, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-v42b-403",
      "keyword": [
        "fear conditioning",
        "spatial learning",
        "neuroplasticity",
        "brain development",
        "developmental hypothyroidism",
        "LTP",
        "BDNF",
        "neurotrophins",
        "activity-dependent plasticity",
        "hippocampus",
        "CSS",
        "children's health",
        "brain",
        "thyroid"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "M0710_BDNF LTP Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/403/M0710_BDNF%20LTP%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-27",
      "references": [
        "https://doi.org/10.1210/en.2015-1643"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Enhancing climate adaptation capacity for drinking water treatment facilities (supplement)",
      "description": "Historical water quality data of the Ohio River. \n\nThis dataset is associated with the following publication:\nLevine, A., J. Yang , and J. Goodrich. Enhancing climate Adaptation Capacity for Drinking Water Treatment Facilities.   Journal of Water and Climate Change. IWA Publishing, London,  UK, 7(3): 1-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-qfvd-417",
      "keyword": [
        "climate adaptation",
        "coagulation",
        "conventional treatment",
        "resilience",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Enhancing Climate Adaptation Capacity for Drinking Water Treatment Facilities.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/417/Enhancing%20Climate%20Adaptation%20Capacity%20for%20Drinking%20Water%20Treatment%20Facilities.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-03",
      "references": [
        "https://doi.org/10.2166/wcc.2016.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of water quality on chlorine demand of corroding copper (Supplement)",
      "description": "Copper is widely used in drinking water premise plumbing system materials. In buildings such as\r\nhospitals, large and complicated plumbing networks make it difficult to maintain good water quality.\r\nSustaining safe disinfectant residuals throughout a building to protect against waterborne pathogens\r\nsuch as Legionella is particularly challenging since copper and other reactive distribution system materials\r\ncan exert considerable demands. The objective of this work was to evaluate the impact of pH and\r\northophosphate on the consumption of free chlorine associated with corroding copper pipes over time. A\r\ncopper test-loop pilot system was used to control test conditions and systematically meet the study\r\nobjectives. Chlorine consumption trends attributed to abiotic reactions with copper over time were\r\ndifferent for each pH condition tested, and the total amount of chlorine consumed over the test runs\r\nincreased with increasing pH. Orthophosphate eliminated chlorine consumption trends with elapsed\r\ntime (i.e., chlorine demand was consistent across entire test runs). Orthophosphate also greatly reduced\r\nthe total amount of chlorine consumed over the test runs. Interestingly, the total amount of chlorine\r\nconsumed and the consumption rate were not pH dependent when orthophosphate was present. The\r\nfindings reflect the complex and competing reactions at the copper pipe wall including corrosion,\r\noxidation of Cu(I) minerals and ions, and possible oxidation of Cu(II) minerals, and the change in chlorine\r\nspecies all as a function of pH. The work has practical applications for maintaining chlorine residuals in\r\npremise plumbing drinking water systems including large buildings such as hospitals. \n\nThis dataset is associated with the following publication:\nLytle , D., and J. Liggett. Impact of Water Quality on Chlorine Demand of Corroding Copper.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 92: 11-21, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-3ffg-425",
      "keyword": [
        "Oxidant demand",
        "Chlorine",
        "Copper",
        "Orthophosphate",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Copper chlorine.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/425/Copper%20chlorine.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "chlorine paper data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/425/chlorine%20paper%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-15",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.01.032"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Volatile and semivolatile organic compounds in laboratory peat fire emissions",
      "description": "Supporting information Tables S3 and S4 list emission factors in g/kg of speciated volatile and particulate organic compounds emitted from peat burning. Peat samples were acquired from Alligator River (AR) and Pocosin Lakes (PL) National Wildlife Refuges. \n\nThis dataset is associated with the following publication:\nGeorge , I., R. Black, J. Walker , C. Geron , J. Aurell , M. Hays , W. Preston, and B. Gullett. Volatile and semivolatile organic compounds in laboratory peat fire emissions.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 132: 163-170, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-qrg3-41",
      "keyword": [
        "biomass burning",
        "smoldering combustion",
        "particulate mass",
        "volatile organic compounds",
        "polycyclic aromatic hydrocarbons",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Ingrid George",
        "hasEmail": "mailto:george.ingrid@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S1352231016301388",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S1352231016301388",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Full-Scale Implementation of an Innovative (Supplemental)",
      "description": "Across the United States, high levels of ammonia in drinking water\r\nsources can be found. Although ammonia in water does not pose\r\na direct health concern, ammonia nitrification can cause a number\r\nof issues and reduce the effectiveness of some treatment processes.\r\nAn innovative biological ammonia-removal drinking water\r\ntreatment process was developed and, after the success of a pilot\r\nstudy, a full-scale treatment system using the process was built in\r\na small Iowa community. The treatment plant included a unique\r\naeration contactor design that is able to consistently reduce\r\nammonia from 3.3 mg of nitrogen/L to nearly nondetectable after\r\na biofilm acclimation period. Close system monitoring was\r\nperformed to avoid excess nitrite release during acclimation, and\r\nphosphate was added to enhance biological activity on the basis\r\nof pilot study findings. The treatment system is robust, reliable,\r\nand relatively simple to operate. The operations and effectiveness\r\nof the treatment plant were documented in the study. \n\nThis dataset is associated with the following publication:\nLytle , D., D. Williams , C. Muhlen , M. Pham , K. Kelty , M. Wildman, G. Lang, M. Wilcox, and M. Kohne. The Full-Scale Implementation of an Innovative Biological Ammonia Treatment Process.   Journal AWWA. American Water Works Association, Denver, CO, USA, 107(12): E648-E665, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-nzss-420",
      "keyword": [
        "ammonia",
        "biological treatment",
        "drinking water",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "jaw201512lytle_es.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/420/jaw201512lytle_es.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-01",
      "references": [
        "https://doi.org/10.5942/jawwa.2015.107.0176"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of Bottomless Lift Nets and Breder Traps for Sampling Salt-Marsh Nekton",
      "description": "Data set contains: the length of mummichogs (Fundulus heteroclitus) caught on lift nets and Breder traps from May to September 2002; the sizes of green crabs caught in the lift nets and Breder traps during same time frame; the mean density and sample size data for each sampling time and each site (3 sites total) for total nekton sampled and total nekton minus shrimp. \n\nThis dataset is associated with the following publication:\nRaposa, K., and M. Chintala. Comparison of Bottomless Lift Nets and Breder Traps for Sampling Salt-Marsh Nekton.   TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY. American Fisheries Society, Bethesda, MD, USA, 145(1): 163-172, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-2z38-424",
      "keyword": [
        "Mummichog",
        "Lift Net",
        "Breder trap",
        "Green crab",
        "Fundulus heteroclitus",
        "Carcinus maenas",
        "Narragansett Bay",
        "Salt marsh",
        "nekton",
        "sampling methods"
      ],
      "contactPoint": {
        "fn": "Marnita Chintala",
        "hasEmail": "mailto:chintala.marty@epa.gov"
      },
      "distribution": [
        {
          "title": "Raposa and Chintala data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/424/Raposa%20and%20Chintala%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-21",
      "references": [
        "https://doi.org/10.1080/00028487.2015.1111254"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GRE Enzymes for Vector Analysis",
      "description": "Microbial enzyme data that were collected during the 2004-2006 EMAP-GRE program. These data were then used by Moorhead et al (2016) in their ecoenzyme vector analysis paper. \n\nThis dataset is associated with the following publication:\nMoorhead, D., R. Sinsabaugh, B. Hill , and M. Weintraub. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics.   SOIL BIOLOGY AND BIOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 93: 1-7, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-76hm-174",
      "keyword": [
        "microbial ecoenzymes",
        "nutrient limitation",
        "vector analysis"
      ],
      "contactPoint": {
        "fn": "Brian Hill",
        "hasEmail": "mailto:hill.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "GRE_VECTOR.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/174/GRE_VECTOR.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-10",
      "references": [
        "https://doi.org/10.1016/j.soilbio.2015.10.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/174/documents/GRE%20Vectors%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Optimized UDP-glucuronosyltransferase (UGT) activity assay for trout liver S9 fractions",
      "description": "This publication provides an optimized UGT assay for trout liver S9 fractions which can be used to perform in vitro-in vivo extrapolations of measured UGT activity. \n\nThis dataset is associated with the following publication:\nLadd, M., P. Fitzsimmons , and J. Nichols. Optimization of a UDP-glucuronosyltransferase assay for trout liver S9 fractions: Activity enhancement by alamethicin, a pore-forming peptide.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 46(12): 1066-1075, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-0p2p-89",
      "keyword": [
        "S9 fractions",
        "UDP glucuronosyltransferase",
        "rainbow trout",
        "alamethicin"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Ladd et al., 2016, Science Hub Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/89/Ladd%20et%20al.%2C%202016%2C%20Science%20Hub%20Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-30",
      "references": [
        "https://doi.org/10.3109/00498254.2016.1149634"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SRHA calibration curve",
      "description": "an UV calibration curve for SRHA quantitation. \n\nThis dataset is associated with the following publication:\nChang, X., and D. Bouchard. Surfactant-Wrapped Multiwalled Carbon Nanotubes in Aquatic Systems: Surfactant Displacement in the Presence of Humic Acid.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(0): 9214-9222, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-83bs-140",
      "keyword": [
        "humic acid; uv",
        "MWCNTs; nanomaterials; surfactant; ENMs; humic acid"
      ],
      "contactPoint": {
        "fn": "Dermont Bouchard",
        "hasEmail": "mailto:bouchard.dermont@epa.gov"
      },
      "distribution": [
        {
          "title": "SRHA calibration curve.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/140/SRHA%20calibration%20curve.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for pilot-scale low level hydrogen peroxide tests using humidifiers",
      "description": "Dataset includes data from each experiment conducted in the pilot-scale testing.  Each sheet of the Excel file pertains to each test. A data dictionary is included in the first sheet.  In each sheet there are microbiological data (colony forming units) for each test and positive control coupon used in the study. Also shown is the calculation of decontamination efficacy (log10 reduction). \n\nThis dataset is associated with the following publication:\nWood, J., W. Calfee, S. Ryan, L. Mickelsen, M. Clayton, and V. Rastogi. A Simple Decontamination Approach Using Hydrogen Peroxide Vapor for Bacillus anthracis Spore Inactivation.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(6): 1603-1615, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-73nd-242",
      "keyword": [
        "Bacillus anthracis",
        "Decontamination",
        "hydrogen peroxide vapor",
        "bacterial spores",
        "antimicrobial"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "COMMANDER data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/242/COMMANDER%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-11",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1111/jam.13284/full"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lab-scale hydrogen peroxide data from ECBC",
      "description": "Data from small lab scale tests conducted at ECBC.  It contains efficacy data as well as data on env conditions such as temperature, RH, and hydrogen peroxide vapor concentration. \n\nThis dataset is associated with the following publication:\nWood, J., W. Calfee, S. Ryan, L. Mickelsen, M. Clayton, and V. Rastogi. A Simple Decontamination Approach Using Hydrogen Peroxide Vapor for Bacillus anthracis Spore Inactivation.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(6): 1603-1615, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-73nd-244",
      "keyword": [
        "Bacillus anthracis",
        "Decontamination",
        "hydrogen peroxide vapor",
        "bacterial spores",
        "antimicrobial"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "ECBC results summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/244/ECBC%20results%20summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-13",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1111/jam.13284/full"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CAIRSENSE-Atlanta Low Cost Sensor Evaluation Versus Reference Monitors",
      "description": "Short time interval comparisons of low cost sensor response and corresponding Federal Reference or Federal Equivalent Monitors at an NCOR site located in proximity to Atlanta, Georgia. Portions of this dataset are inaccessible because: The data were integrated using R.  Currently there is no means of reporting \"R: database in the science hub. Data are still being reviewed as part of the journal publication process.  Release prior to journal acceptance could result in external parties inappropriately using the data (including sensor manufacturers who might use such data without a full understanding of its meaning). They can be accessed through the following means: Direct transfer from the Principal Investigator upon journal publication. Format: The dataset was created in R and represents an extensive short time resolution of thousands of lines of air quality measurements.  In addition, the data have been integrated into a manuscript which has yet to be published.  The manuscript was cleared  through STICs but has not yet rec'd journal based peer review acceptance. \n\nThis dataset is associated with the following publication:\nJiao, W., G. Hagler, R. Williams, R. Sharpe, R. Brown, D. Garver, R. Judge, M. Caudill, J. Rickard, M. Davis, L. Weinstock, S. Zimmer-Dauphinee, and K. Buckley. Community Air Sensor Network (CAIRSENSE) project: Evaluation of low-cost sensor performance in a suburban environment in the southeastern United States.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 9: 5282-5292, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-hx3v-157",
      "keyword": [
        "criteria air polluants",
        "low cost air quality sensors"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Data Hub CAIRSENSE Atlanta Data Set -Reduced.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/157/Science%20Data%20Hub%20CAIRSENSE%20Atlanta%20Data%20Set%20-Reduced.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-01",
      "references": [
        "https://doi.org/10.5194/amt-9-5281-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/157/documents/Science%20Hub%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Flow list and test results",
      "description": "These data accompany the manuscript 'Critical Review of Elementary Flows in LCA Data'. Each file presents a subgroup of the elementary flows (data used for analysis) and all the analysis results. Files are separated by flow types. The 'Element or Compound' types contained over 115,000 flows and was broken into three files (a, b,and c).  A guide to the file contents and explanation of flow types are provided in the 'CriticalReviewofElementaryFlows_Data_Guide' file. \n\nThis dataset is associated with the following publication:\nEdelen, A., W. Ingwersen, C. Rodriguez, R. Alvarenga, A.R. de Almeida, and G. Wernet. Critical Review of Elementary Flows in LCA data.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY,  01-13, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-p2p0-450",
      "keyword": [
        "nomenclature",
        "critical review",
        "life cycle assessment",
        "life cycle inventory data",
        "interoperability"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Biological_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Biological_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Compartment_a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Compartment_a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Compartment_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Compartment_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Compartment_c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Compartment_c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Elementary Flow_a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Elementary%20Flow_a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Elementary Flow_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Elementary%20Flow_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Elementary Flow_c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Elementary%20Flow_c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_flow by source.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_flow%20by%20source.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_formating.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_formating.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Input_Output_a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Input_Output_a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Input_Output_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Input_Output_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Input_Output_c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Input_Output_c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Linked identifier_a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Linked%20identifier_a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Linked identifier_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Linked%20identifier_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Linked identifier_c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Linked%20identifier_c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Metadata_a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Metadata_a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Metadata_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Metadata_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Element or Compound_Metadata_c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Element%20or%20Compound_Metadata_c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Energy_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Energy_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fossil and Nuclear Fuels_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Fossil%20and%20Nuclear%20Fuels_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Groups_Chemicals_Analysis_.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Groups_Chemicals_Analysis_.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Land_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Land_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Other_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Other_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Water_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/450/Water_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-22",
      "references": [
        "https://doi.org/10.1007/s11367-017-1354-3",
        "https://pasteur.epa.gov/uploads/450/documents/CriticalReviewofElementaryFlows_DataGuide.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/450/documents/CriticalReviewofElementaryFlows_DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-induced systemic and pulmonary effects are diminished in adrenalectomized rats",
      "description": "This data set is an excel file pertaining to the study that examined ozone-induced systemic and pulmonary effects in rats that underwent SHAM surgery (control), adrenal demedullation or total bilateral adrenalectomy. Different pages of the spreadsheet shows individual animal data for markers of lung injury and inflammation, body weights, whole body plethysmography measurements, levels of circulating hormones and lipids, and circulating white blood cell count as well as platelet count. \n\nThis dataset is associated with the following publication:\nMiller, D., S. Snow, M. Schladweiler , J. Richards , A. Ghio , A. Ledbetter , and U. Kodavanti. Acute Ozone-Induced Pulmonary and Systemic Metabolic Effects are Diminished in Adrenalectomized Rats#.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    150(2): 312-22, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-xsjt-216",
      "keyword": [
        "Ozone",
        "adrenalectomy",
        "Stress Response",
        "HPA-axis",
        "lung injury"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Miller et al ToxSci 2016 Science hub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/216/Miller%20et%20al%20ToxSci%202016%20Science%20hub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-22",
      "references": [
        "https://doi.org/10.1093/toxsci/kfv331"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/216/documents/Miller%20et%20al%20ToxSci%202016%20Science%20hub%20data.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Locomotor activity and tissues levels following acute administration of lambda- and gamma-cyhalothrin in rats",
      "description": "raw motor activity counts and tissue levels. \n\nThis dataset is associated with the following publication:\nMoser, G., Z. Liu, C. Schlosser, T. Spanogle, A. Chandrasekaran, and K. Mcdaniel. Locomotor activity and tissue levels following acute administration of lambda- and gamma-cyhalothrin in rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 313: 97-103, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-t4bx-249",
      "keyword": [
        "cyhalothrin",
        "pyrethroids",
        "neurotoxicity",
        "motor activity",
        "toxicokineticscyhalothrin",
        "toxicokinetics"
      ],
      "contactPoint": {
        "fn": "Virginia Moser",
        "hasEmail": "mailto:moser.ginger@epa.gov"
      },
      "distribution": [
        {
          "title": "science hub data summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/249/science%20hub%20data%20summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-29",
      "references": [
        "https://doi.org/10.1016/j.taap.2016.10.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tox_esterase_2016",
      "description": "individual values for liver detoxification for each human sample and for each chemical. \n\nThis dataset is associated with the following publication:\nMoser, G., and S. Padilla. Esterase detoxification of acetylcholinesterase inhibitors using human liver samples in vitro.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA,  11-20, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-str5-59",
      "keyword": [
        "pesticides",
        "detoxification",
        "esterases"
      ],
      "contactPoint": {
        "fn": "Virginia Moser",
        "hasEmail": "mailto:moser.ginger@epa.gov"
      },
      "distribution": [
        {
          "title": "all human data for scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/59/all%20human%20data%20for%20scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Neurophysiological assessment of auditory, peripheral nerve, somatosensory, and visual system function after developmental exposure to gasoline, E15, and E85 vapors.",
      "description": "Visual, auditory, somatosensory, and peripheral nerve evoked responses. \n\nThis dataset is associated with the following publication:\nHerr , D., D. Freeborn , L. Degn , S.A. Martin, J. Ortenzio, L. Pantlin, C. Hamm , and W. Boyes. Neurophysiological Assessment of Auditory, Peripheral Nerve, Somatosensory, and Visual System Function After Developmental Exposure to Gasoline, E15 and E85 Vapors.   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 54: 78-88, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-98sp-145",
      "keyword": [
        "visual evoked potentials",
        "somatosensory evoked potentials",
        "peripheral nerve evoked potentials",
        "brainstem auditory evoked responses",
        "biofuels",
        "E0",
        "E15",
        "E85",
        "vapors",
        "neurophysiology"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "A-98sp_BiofuelsE0E15E85_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/145/A-98sp_BiofuelsE0E15E85_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-07",
      "references": [
        "https://doi.org/10.1016/j.ntt.2015.12.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohmic resistance affects microbial community and electrochemical kinetics in a multi-anode microbial electrochemical cell ",
      "description": "A-3txf_sequence summary.xksx: Abundance of contigs or unique sequences for each biofilm samples from anodes in the MEC reactor\nHodon Waterloo final_fasta_working.docx: Raw sequences with their identification numbers\nRNA S1_MEC.docx: Representative sequences with their ID number and taxonomy. \n\nThis dataset is associated with the following publication:\nSantodomingo, J., H. Ryu, B. Dhar, and H. Lee. Ohmic resistance affects microbial community and electrochemical kinetics in a multi-anode microbial electrochemical cell.   JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 331: 315-321, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-3txf-448",
      "keyword": [
        "Abundance",
        "Raw sequences",
        "Fasta file",
        "Anode potential",
        "Half-saturation anode potential",
        "Microbial electrochemical cells",
        "Multi-anode",
        "Ohmic energy loss"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Hodon Waterloo final_fasta_working.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/448/Hodon%20Waterloo%20final_fasta_working.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RNA S1_MEC.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/448/RNA%20S1_MEC.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-17",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0378775316312174"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sediment Resuspension Data",
      "description": "The full report on sediment resuspension in drinking water storage tanks and a link to an animation of results. \n\nThis dataset is associated with the following publication:\nHo, C., R. Murray , J. Christian, E. Ching, J. Slavin, J. Ortega, and L. Rossman. Sediment Resuspension and Transport in Water Distribution Storage Tanks.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 108(6): ., (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-69pf-148",
      "keyword": [
        "homeland security",
        "water security",
        "water quality",
        "storage tanks",
        "water distribution",
        "drinking water",
        "sediments",
        "modeling",
        "CFD"
      ],
      "contactPoint": {
        "fn": "Regan Murray",
        "hasEmail": "mailto:murray.regan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sandia.gov/cfd-water/sediment-resuspension-in-water-distribution-storage-tanks/",
          "accessURL": "https://www.sandia.gov/cfd-water/sediment-resuspension-in-water-distribution-storage-tanks/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-01",
      "references": [
        "https://doi.org/10.5942/jawwa.2016.108.0077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors",
      "description": "This file contains all the elementary flows (defined in ISO 14044) used in the USEEIO model. The elementary flows come from a draft master list used by USEPA modified from the openLCA 1.4 software master list with original flows added. The characterization factors come from the openLCA 1.5.4 method pack or directly from TRACI 2.1 for the TRACI categories, or for the Non-TRACI categories, are originals used simply to sum up all types of resource use of a given type. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-sj4g-458",
      "keyword": [
        "life cycle impact assessment method",
        "elementary flows",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIO_ElementaryFlows&LCIAFactors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/458/USEEIO_ElementaryFlows%26LCIAFactors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-07",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data to support \"Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations & Biological Condition\"",
      "description": "Spreadsheets are included here to support the manuscript \"Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition\". \n\nThis dataset is associated with the following publication:\nGolden , H., C. Lane , A. Prues, and E. D'Amico. Boosted Regression Tree Models to Explain Watershed Nutrient Concentrations and Biological Condition.   JAWRA. American Water Resources Association, Middleburg, VA, USA, 52(5): 1251-1274, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-7pvt-162",
      "keyword": [
        "riparian buffer",
        "Watershed",
        "watershed management",
        "nutrients",
        "boosted regression tree",
        "Index of Biotic Integrity",
        "statistical model"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubData_080416.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/162/ScienceHubData_080416.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-11-10",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12447/abstract"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO Satellite Files",
      "description": "These files contain the environmental data as particular emissions or resources associated with a BEA sectors that are used in the USEEIO model. They are organized by the emission or resources type, as described in the manuscript. The main files (without SI) show the final \"satellite tables\" in the 'Exchanges' sheet which have emissions or resource use per USD for 2013. The other sheets in these files provide meta data for the create of the tables, including general information, sources, etc. The 'export' sheet is used for saving the satellite table for csv export. The data dictionary describes the fields in this sheet. The supporting files provide all the details data transformation and organization for the development of the satellite tables. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-sj4g-455",
      "keyword": [
        "satellite tables",
        "greenhouse gas emissions",
        "water use",
        "energy use",
        "criteria air pollutant emissions",
        "toxic releases",
        "mineral extraction",
        "land use",
        "nutrient releases",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIO_Satellite_Tables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/455/USEEIO_Satellite_Tables.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-01",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/455/documents/USEEIO%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity of Whole Biodiesel Extracts in Salmonella",
      "description": "Description is in the data set. \n\nThis dataset is associated with the following publication:\nMutlu, E., S. Warren , P. Matthews, C. King , L. Walsh , A. Kligerman, J. Schmid , D. Janek, I. Kooter, B. Linak , I. Gilmour , and D. DeMarini. Health Effects of Soy-Biodiesel Emissions: Mutagenicity-Emission Factors.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 27(11): 585-596, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-fbgk-440",
      "keyword": [
        "Mutagenicity",
        "biodiesel",
        "organic extracts",
        "PM",
        "Combustion Emissions",
        "Complex Mixtures"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Biodiesel Whole Extract data set.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/440/Science%20Hub%20Biodiesel%20Whole%20Extract%20data%20set.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Liver steatosis study_PFAA treated mouse gene array data",
      "description": "This file contains a link for Gene Expression Omnibus and the GSE designations for the publicly available gene expression data used in the study and reflected in Figures 6 and 7 for the Das et al., 2016 paper. \n\nThis dataset is associated with the following publication:\nDas, K., C. Wood, M. Lin, A.A. Starkov, C. Lau, K.B. Wallace, C. Corton, and B. Abbott. Perfluoroalky acids-induced liver steatosis:  Effects on genes controlling lipid homeostasis.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 378: 32-52, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-1zct-43",
      "keyword": [
        "lipid synthesis",
        "lipid catabolism",
        "perfluorinated chemicals",
        "steatosis",
        "PFOA",
        "PFNA",
        "PFHxS",
        "hepatotoxicity"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Data set 2 Gene MicroArray analysis Das et al 2016.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/43/Data%20set%202%20Gene%20MicroArray%20analysis%20Das%20et%20al%202016.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-04",
      "references": [
        "https://doi.org/10.1016/j.tox.2016.12.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Liver steatosis study_PFAA treated Wild type and PPAR KO mouse data",
      "description": "Data set 1 consists of the experimental data for the Wild Type and PPAR KO animal study and includes data used to prepare Figures 1-4 and Table 1 of the Das et al, 2016 paper. \n\nThis dataset is associated with the following publication:\nDas, K., C. Wood, M. Lin, A.A. Starkov, C. Lau, K.B. Wallace, C. Corton, and B. Abbott. Perfluoroalky acids-induced liver steatosis:  Effects on genes controlling lipid homeostasis.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 378: 32-52, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-1zct-42",
      "keyword": [
        "body weight",
        "liver weight",
        "liver/body weight ratio",
        "cell size",
        "DNA content",
        "lipid",
        "triglyceride",
        "PCR",
        "perfluorinated chemicals",
        "steatosis",
        "PFOA",
        "PFNA",
        "PFHxS",
        "hepatotoxicity"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Data set 1 WT and KO data Das et al 2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/42/Data%20set%201%20WT%20and%20KO%20data%20Das%20et%20al%202016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-04",
      "references": [
        "https://doi.org/10.1016/j.tox.2016.12.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scenarios for low carbon and low water electric power plant operations: implications for upstream water use",
      "description": "The dataset includes all data used in the creation of figures and graphs in the paper: \"Scenarios for low carbon and low water electric power plant operations: implications for upstream water use.\"   Data includes regional electricity mixes, full life cycle water use, and water use for each life cycle stage.  These encompass a range of scenarios out to 2050, and should not be used as predictions, forecasts or official baselines.  The scenarios and results are for research purposes only, and do not represent current or future U.S. EPA policies or regulations. \n\nThis dataset is associated with the following publication:\nDodder , R., J. Barnwell , and W. Yelverton. Scenarios for low carbon and low water electric power plant operations: implications for upstream water use.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(21): 11460-11470, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-2v70-79",
      "keyword": [
        "water",
        "water-",
        "energy",
        "energy system",
        "energy modeling"
      ],
      "contactPoint": {
        "fn": "Rebecca Dodder",
        "hasEmail": "mailto:dodder.rebecca@epa.gov"
      },
      "distribution": [
        {
          "title": "Water-energy_Dodder_ScienceHub_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/79/Water-energy_Dodder_ScienceHub_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.6b03048",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.6b03048",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-18",
      "references": [
        "https://doi.org/10.1021/acs.est.6b03048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Information",
      "description": "This is the supporting information for the journal article. \n\nThis dataset is associated with the following publication:\nRankin, K., S. Mabury, T. Jenkins, and J. Washington. A North American and global survey of perfluoroalkyl substances in surface soils: Distribution patterns and mode of occurrence.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 161: 333–341, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-qjqm-141",
      "keyword": [
        "PFOA PFOS background soils"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "160721 American-Global Soil PFASs SI.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/141/160721%20American-Global%20Soil%20PFASs%20SI.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0045653516308803",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0045653516308803",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-02",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.06.109"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Link to paper",
      "description": "Link to the paper. \n\nThis dataset is associated with the following publication:\nNaile, J., A.W. Garrison, J. Avants, and J. Washington. Isomers/enantiomers of perfluorocarboxylic acids: Method development and detection in environmental samples.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 144: 1722-1728, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-v6xj-276",
      "keyword": [
        "Perfluorocarboxylic acids",
        "PFCAs",
        "PFOA",
        "Isomers",
        "Chiral",
        "Enantiomers",
        "Enantioselectivity"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0045653515302708",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0045653515302708",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Info",
      "description": "Supporting Information. \n\nThis dataset is associated with the following publication:\nWashington , J., T. Jenkins, and E. Weber. Identification of Unsaturated and 2H Polyfluorocarboxylate Homologous Series and Their Detection in Environmental Samples and as Polymer Degradation Products.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(22): 13256-13263, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-t4bw-87",
      "keyword": [
        "uPFOA HPFOA uPFCA HPFCA"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "151008 uPFOA Changes Accepted SI.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/87/151008%20uPFOA%20Changes%20Accepted%20SI.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-08",
      "references": [
        "https://doi.org/10.1021/acs.est.5b03379"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Info",
      "description": "Supporting Info. \n\nThis dataset is associated with the following publication:\nWashington , J., and T. Jenkins. Abiotic Hydrolysis of Fluorotelomer-Based Polymers as a Source of Perfluorocarboxylates at the Global Scale.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(24): 14129-14135, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-8938-86",
      "keyword": [
        "FTP PFOA"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "151027 WashingtonJenkinsFTPHydrolysisES&TSuppInfo.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/86/151027%20WashingtonJenkinsFTPHydrolysisES%26TSuppInfo.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-27",
      "references": [
        "https://doi.org/10.1021/acs.est.5b03686"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Future United States Domestic Water Demand  ",
      "description": "Population projections, estimated per capita consumption rate, and estimated total annual water demand to 2100 for four future projections based off the IPCC SRES climate scenarios.  The estimates for water use are based Bayesian regression analysis on 1985, 1990, 1995, 2005 and 2010 water use from USGS. \n\nThis dataset is associated with the following publication:\nPickard, B., M. Nash, J. Baynes, and M. Mehaffey. Planning for community resilience to future United States domestic water demand.   LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 158: 75-86, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-xgz3-193",
      "keyword": [
        "Population",
        "Future Scenarios",
        "Per Capita Use",
        "Baysian Regression",
        "EnviroAtlas",
        "Domestic Water",
        "ecosystem services",
        "Landscape Ecology"
      ],
      "contactPoint": {
        "fn": "Megan Mehaffey",
        "hasEmail": "mailto:mehaffey.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "LUP_Demand final datas and regressions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/193/LUP_Demand%20final%20datas%20and%20regressions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-16",
      "references": [
        "https://doi.org/10.1016/j.landurbplan.2016.07.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aquatic concentrations of chemical analytes compared to ecotoxicity estimates",
      "description": "We describe screening level estimates of potential aquatic toxicity posed by 227 chemical analytes that were measured in 25 ambient water samples collected as part of a joint USGS/USEPA drinking water plant study. Measured concentrations were compared to biological effect concentration (EC) estimates, including USEPA aquatic life criteria, effective plasma concentrations of pharmaceuticals, published toxicity data summarized in the USEPA ECOTOX database, and chemical structure-based predictions. Potential dietary exposures were estimated using a generic 3-tiered food web accumulation scenario. \n\nThis dataset is associated with the following publication:\nKostich , M., R. Flick , A. Batt , H. Mash , S. Boone , E. Furlong, D. Kolpin, and S. Glassmeyer. Aquatic concentrations of chemical analytes compared to ecotoxicity estimates.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 1649-1657, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-xd2v-243",
      "keyword": [
        "water",
        "hazard ratio",
        "ecotoxicity",
        "chemical"
      ],
      "contactPoint": {
        "fn": "Mitchell Kostich",
        "hasEmail": "mailto:kostich.mitchell@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables20160526a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/243/Tables20160526a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "InputData20160526a.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/243/InputData20160526a.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-26",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.06.234"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Waterline ATS B. globigii spore water disinfection data",
      "description": "Disinfection of B. globigii spores (a non-pathogenic surrogate for B. anthracis) in clean and dirty water using the ATS-Waterline system, which uses ultraviolet light and a charged membrane filter. \n\nThis dataset is associated with the following publication:\nSilva, G., J. Szabo, V. Namboodiri, R. Krishnan, J. Rodriguez, and A. Zeigler. Evaluation of and environmentally sustainable UV-assisted water treatment system for removal of Bacillus spores in water.   WATER SCIENCE AND TECHNOLOGY. IWA Publishing, London,  UK, 18(3): 968-975, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-brvb-452",
      "keyword": [
        "drinking water treatment",
        "bacillus atrophaeus",
        "Bacillus anthracis",
        "Ultraviolet",
        "membrane filter",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Jeffrey Szabo",
        "hasEmail": "mailto:szabo.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "B.globigii bacterial counts and water quallity parameters.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/452/B.globigii%20bacterial%20counts%20and%20water%20quallity%20parameters.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-25",
      "references": [
        "https://doi.org/10.2166/ws.2017.165"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "“The influence of control group reproduction on the statistical power of the Environmental Protection Agency’s Medaka Extended One Generation Reproduction Test (MEOGRT) data for simulations” Dataset",
      "description": "Excel spreadsheet that contains the raw fecundity data used to conduct power simulations specific to the MEOGRT reproductive assessment. \n\nThis dataset is associated with the following publication:\nFlynn, K., J. Swintek, and R. Johnson. The influence of control group reproduction on the statistical power of the Environmental Protection Agency&rsquo;s medaka Extended One-Generation Reproduction Test (MEOGRT).   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd,  NY, USA, 136: 8-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-rv1s-446",
      "keyword": [
        "statistical power",
        "endocrine disruption",
        "fish",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "Flynn et al 2016 Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/446/Flynn%20et%20al%202016%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-03",
      "references": [
        "http://dx.doi.org/10.1016/j.ecoenv.2016.10.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A demonstration of the uncertainty in predicting the estrogenic activity of individual chemicals and mixtures from an in vitro estrogen receptor transcriptional activation assay (T47D-KBluc) to the in vivo uterotrophic assay using oral exposure",
      "description": "the data set contains the figures and tables from the publication in addition to the means, standard errors of the mean and the sample sizes used in each group for every experiment.  the data set also contains a description of the genes, their function and acronyms on the QPCR arrays used in the study.  Finally, the dataset includes the histopathology reports on the uterine changes induced by the different chemicals and the criteria used by the pathologist to classify the estrogenic effects of the chemicals. \n\nThis dataset is associated with the following publication:\nConley, J., B. Hannas, V. Wilson, E. Gray, and J. Furr. A demonstration of the uncertainty in predicting the estrogenic activity of individual chemicals and mixtures from an in vitro estrogen receptor transcriptional activation assay (T47D-KBluc) to the in vivo uterotrophic assay using oral exposure.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     382-395, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-280k-428",
      "keyword": [
        "estrogenic activity in vitro and in vivo",
        "uterine weight",
        "uterine histology",
        "in vitro in vivo extrapolation",
        "prediction of in vivo effects from in vitro gene expression",
        "environmental estrogens",
        "in vitro to in vivo extrapolation",
        "uterine estrogenic response"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "Conley_IVIVE_Science hub file final 10 3 2016.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/428/Conley_IVIVE_Science%20hub%20file%20final%2010%203%202016.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-03",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Potential Vorticity based parameterization for specification of Upper troposphere/lower stratosphere ozone in atmospheric models",
      "description": "Potential Vorticity based parameterization for specification of Upper troposphere/lower stratosphere ozone in atmospheric models - the data set consists of 3D O3 fields from the CMAQ modeling system across the northern hemisphere,  potential vorticity fields from the WRF model, and observated ozone from the WOUDC ozonesonde launches. \n\nThis dataset is associated with the following publication:\nMathur, R., J. Pleim, C. Hogrefe, M. Gan, G. Sarwar, D. Wong, J. Wang, S. McKeen, J. Xing, and J. Wang. Representing the effects of stratosphere–troposphere exchange on 3-D O3 distributions in chemistry transport models using a potential vorticity-based parameterization.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16: 10865-10877, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-ffbt-207",
      "keyword": [
        "stratosphere-troposphere exchange",
        "Ozone",
        "CMAQ",
        "Potential vorticity"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "PV_Fig_plot_data_location_updated.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/207/PV_Fig_plot_data_location_updated.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-11",
      "references": [
        "https://doi.org/10.5194/acp-16-10865-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phoenix Study",
      "description": "Phoenix Traffic and Mobile Data. \n\nThis dataset is associated with the following publication:\nBaldauf , R., V. Isakov , P. Deshmukh, and A. Venkatram. Influence of Solid Noise Barriers on Near-Road and On-Road Air Quality.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 129: 265-276, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-vmdh-416",
      "keyword": [
        "air quality",
        "near road",
        "noise barriers",
        "emissions",
        "traffic"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Phoenix Traffic Data Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/416/Phoenix%20Traffic%20Data%20Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Phoenix Open_Barrier Data Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/416/Phoenix%20Open_Barrier%20Data%20Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-21",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.01.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures",
      "description": "data for figures 1-8 in journal article \"Assessment of port-related air quality impacts: geographic analysis of population\", International Journal of Environment and Pollution, 58, 231-250, (2015). \n\nThis dataset is associated with the following publication:\nArunachalam , S., H. Brantley , T. Barzyk , G. Hagler , V. Isakov , S. Kimbrough , B. Naess, N. Rice, M. Snyder, K. Talgo, and A. Venkatram. Assessment of port-related air quality impacts: geographic analysis of population.   INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva,  SWITZERLAND, 58(4): 231 - 250, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-hqcc-208",
      "keyword": [
        "ports",
        "emissions",
        "air quality",
        "dispersion modeling",
        "GIS",
        "Population",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures1to8.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/208/Figures1to8.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-12-18",
      "references": [
        "https://doi.org/10.1504/ijep.2015.077455"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detroit Exposure and Aerosol Research Study",
      "description": "The DEARS represents a multipollutant spatial characterization of six neighborhoods and their residents in and around Detroit, Michigan.  Personal, residential indoor, residential outdoor, and ambient monitoring was performed.  Survey information was collected simultaneously with air quality monitoring to provide the means to examine a wide variety of exposure factors on personal exposure. \n\nThis dataset is associated with the following publication:\nLogue, J., M. Sherman, M. Lunden, N. Klepeis, R. Williams , C. Croghan , and B. Singer. Development and assessment of a physics-based simulation model to investigate residential PM2.5 infiltration across the US housing stock.   BUILDING AND ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 94(1): 21-32, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-ttfk-15",
      "keyword": [
        "DEARS",
        "personal",
        "residential",
        "particulate matter",
        "ambient",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "fuqdoors.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/fuqdoors.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fuqETS.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/fuqETS.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fuqwindowfan.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/fuqwindowfan.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fuqwindows.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/fuqwindows.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fuqbase.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/fuqbase.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pmall.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/pmall.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "residence.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/15/residence.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://archive.epa.gov/heasd/archive-dears/web/html/info-2.html",
          "accessURL": "https://archive.epa.gov/heasd/archive-dears/web/html/info-2.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-11-12",
      "references": [
        "https://doi.org/10.1016/j.buildenv.2015.06.032"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/15/documents/dictionary.csv",
        "mediaType": "text/csv"
      },
      "accessRights": "public"
    },
    {
      "title": "Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data",
      "description": "This dataset documents the source of the data analyzed in the manuscript \" Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data\" led by Dr. Ioannis Kioutsioukis of the European Commission's Joint Research Center. All of the data were contributed by non-EPA research groups from Europe. This dataset is not publicly accessible because: None of the data analyzed in this manuscript was contributed by EPA. It can be accessed through the following means: The datasets used for analysis by the external author of this manuscript were provided by researchers from more than ten non-EPA research groups from Europe participating in the first and second phase of the Air Quality Model Evaluation International Initiative (AQMEII). All data used in the manuscript are stored on the web-based password-protected ENSEMBLE platform hosted by the European Commission’s Joint Research Centre at http://ensemble3.jrc.it/. Interested researchers can request access to the AQMEII dataset hosted on the ENSEMBLE platform by contacting Dr. Stefano Galmarini (stefano.galmarini@jrc.ec.europa.eu). Format: N/A. \n\nThis dataset is associated with the following publication:\nKioutsioukis, I., U. Im, E. Solazzo, R. Bianconi, A. Badia, A. Balzarini, R. Baro, R. Bellasio, D. Brunner, C. Chemel, G. Curci, H. Denier va der Gon, J. Flemming, R. Forkel, L. Giordano, P. Jimenez-Guerrero, M. Hirtl, O. Jorba, A. Manders-Groot, L. Neal, J. Perez, G. Pirovano, R. San Jose, N. Savage, W. Schroder, R. Sokhi, D. Syrakov, P. Tuccella, J. Werhahn, R. Wolke, C. Hogrefe, and S. Galmarini. Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16(24): 15629-15652, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-3n5x-494",
      "keyword": [
        "ensemble modeling ensemble averaging",
        "model intercomparison",
        "AQMEII",
        "air quality forecasting"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [],
      "modified": "2014-01-01",
      "references": [
        "https://doi.org/10.5194/acp-16-15629-2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Excel file of salivary antibody analysis for Boqueron Beach study, Puerto Rico for six waterborne pathogens.",
      "description": "This dataset is the raw Luminex antibody responses to six common waterborne pathogens reported in MFI (Median Fluorescence Intensity) units. \n\nThis dataset is associated with the following publication:\nAugustine , S., T. Eason , K. Simmons, C. Curioso, S. Griffin , M. Ramudit, and T. Plunkett. Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 115: e54415, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-k0ph-136",
      "keyword": [
        "Multiplex",
        "immunoassay",
        "salivary antibody",
        "saliva",
        "exposure",
        "bead-based multiplexing",
        "carboxylated microspheres",
        "bead coupling",
        "coupling confirmation"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of JOVE 6Ag(raw data only).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/136/Copy%20of%20JOVE%206Ag%28raw%20data%20only%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-04",
      "references": [
        "https://doi.org/10.3791/54415"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/136/documents/Data%20dictionary_saliva%20JoVE.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Significance of dissolved methane in effluents of anaerobically treated low strength wastewater and potential for recovery as an energy product: A review",
      "description": "The data set includes estimations of energy required for processes related to the operation of Anaerobic Membrane Bioreactors. \n\nThis dataset is associated with the following publication:\nCrone, B., J. Garland, G. Sorial, and L. Vane. Significance of dissolved methane in effluents of anaerobically treated low strength wastewater and potential for recovery as an energy product: A review.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 104: 520-531, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-hx3w-371",
      "keyword": [
        "Anaerobic Treatment",
        "energy and water"
      ],
      "contactPoint": {
        "fn": "Jay Garland",
        "hasEmail": "mailto:garland.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Data Submission.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/371/Science%20Hub%20Data%20Submission.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0043135416306194",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0043135416306194",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-19",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.08.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LenoxKaplan_Role of natural gas in meeting electric sector emissions reduction strategy_dataset",
      "description": "This dataset is for an analysis that used the MARKAL linear optimization model to compare the carbon emissions profiles and system-wide global warming potential of the U.S. energy system over a series of model runs in which the power sector is required to meet a specific carbon dioxide reduction target across a number of scenarios in which the availability of natural gas changes.  Scenarios are run with carbon dioxide emissions and a range of upstream methane emission leakage rates from natural gas production along with upstream methane and carbon dioxide emissions associated with production of coal and oil. \n\nThis dataset is associated with the following publication:\nLenox , C., and O. Kaplan. Role of natural gas in meeting an electric sector emissions reduction strategy and effects on greenhouse gas emissions.   Energy Economics. Elsevier B.V., Amsterdam,  NETHERLANDS, 60: 460-468, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-nvxh-83",
      "keyword": [
        "energy system",
        "scenario analysis",
        "carbon emissions",
        "Methane",
        "natural gas",
        "energy",
        "systems analyses",
        "modeling",
        "Greenhouse gas",
        "air quality",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Carol Lenox",
        "hasEmail": "mailto:lenox.carol@epa.gov"
      },
      "distribution": [
        {
          "title": "LenoxKaplan NatGas EMF31 paper data tables with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/83/LenoxKaplan%20NatGas%20EMF31%20paper%20data%20tables%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-26",
      "references": [
        "https://doi.org/10.1016/j.eneco.2016.06.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States",
      "description": "File containing the locations where the gridded datasets used in the analysis presented in this manuscript are archived. The actual gridded datasets are too large to upload to sciencehub (several terabytes). \n\nThis dataset is associated with the following publication:\nPorter, P.S., S.T. Rao, C. Hogrefe, and R. Mathur. A Reduced Form Model for Ozone Based on Two Decades of CMAQ Simulations for the Continental United States.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 8(2): 275-284, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-6m95-260",
      "keyword": [
        "Reduced form model",
        "meteorological adjustment",
        "emission trends",
        "Air quality trends",
        "long-term CMAQ modeling"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "PorterEtAl_APR_Data_Locations.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/260/PorterEtAl_APR_Data_Locations.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-22",
      "references": [
        "https://doi.org/10.1016/j.apr.2016.09.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An Integrated Approach for Identifying Priority Contaminant in the Great Lakes Basin –Investigations in the Lower Green Bay/Fox River and Milwaukee Estuary Areas of Concern",
      "description": "Prioritization of chemicals was performed on two Areas of Concerns in the Great Lakes\nAn integrated risk surveillance and monitoring approach was applied\nBio-effect prediction methodologies were used to identify additional biological pathways. \n\nEnvironmental assessment of complex mixtures typically requires integration of chemical and biological measurements. This study demonstrates the use of a combination of instrumental chemical analyses, effects-based monitoring, and  bio-effects prediction approaches to help identify potential hazards and priority contaminants in two Great Lakes Areas of Concern (AOCs), the Lower Green Bay/Fox River  located near Green Bay, WI, USA and the Milwaukee Estuary, located near Milwaukee, WI, USA. Fathead minnows were caged  at four sites within each AOC (eight sites total). Following 4 d of in situ exposure, tissues and biofluids were sampled and used for targeted biological effects analyses. Additionally, 4 d composite water samples were collected concurrently at each caged fish site and analyzed for 132 analytes as well as evaluated for total estrogenic and androgenic activity using cell-based bioassays. Of the analytes examined, 75 were detected in composite samples from at least one site. Based on multiple analyses, one site in the East River and another site near a paper mill discharge in the Lower Green Bay/Fox River AOC, were prioritized due to their estrogenic and androgenic activity, respectively. The water samples from other sites generally did not exhibit significant estrogenic or androgenic activity, nor was there evidence for endocrine disruption in the fish exposed at these sites as indicated by the lack of alterations in ex vivo steroid production, circulating steroid concentrations, or vitellogenin mRNA expression in males. Induction of hepatic cyp1a mRNA expression was detected at several sites, suggesting the presence of chemicals that activate the Ah receptor.  To expand the scope beyond targeted investigation of endpoints selected a priori, several bio-effects prediction approaches were employed to identify other potentially disturbed biological pathways and related chemical constituents that may warrant future monitoring at these sites. For example, several  chemicals such as diethylphthalate and naphthalene , and genes and related pathways, such as cholinergic receptor muscarinic 3 (CHRM3), estrogen receptor alpha1 (esr1), chemokine ligand 10 protein (CXCL10), tumor protein p53 (p53), and monoamine oxidase B (Maob), were identified as candidates for future assessments at these AOCs. Overall, this study demonstrates that a better prioritization of contaminants and associated hazards can be achieved through integrated evaluation of multiple lines of evidence. Such prioritization can guide more comprehensive follow-up risk assessment efforts. \n\nThis dataset is associated with the following publication:\nLi, S., D. Villeneuve, J. Berninger, B. Blackwell, J. Cavallin, M. Hughes, K. Jensen, Z. Jorgenson, M. Kahl, A. Schroeder, K. Stevens, L. Thomas, M. Weberg, and G. Ankley. An integrated approach for identifying priority contaminant in the Great Lakes Basin -Investigations in the Lower Green Bay/Fox River and Milwaukee Estuary areas of concern.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 825-837, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-5tb8-418",
      "keyword": [
        "adverse outcome pathway",
        "biomarkers",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/418/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.11.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecosystem services in the St. Louis River AOC",
      "description": "Dataset indicates the presence or absence of each ecosystems service at each coordinate Location. Also included are depth, fetch, and aquatic vegetation data. See supporting information for SAS code used to process data, sources of public spatial data, logic of GIS models used to generate presence absence assignments, GIS processing metadata, and KMZ maps (zipped file). \n\nThis dataset is associated with the following publication:\nAngradi , T., J. Launspach, D. Bolgrien , B. Bellinger, M. Starry, J. Hoffman , A. Trebitz , M. Sierszen , and T. Hollenhorst. Mapping ecosystem service indicators in a Great Lakes estuarine Area of Concern.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 42(3): 717-727, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-1ns3-80",
      "keyword": [
        "Ecosystems services",
        "ecosystem services",
        "Area of Concern"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "Science_hub_combinepointproject_2_9_16.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/80/Science_hub_combinepointproject_2_9_16.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-09",
      "references": [
        "https://doi.org/10.1016/j.jglr.2016.03.012",
        "https://pasteur.epa.gov/uploads/80/documents/Ecoservices_KMZ.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of exposure differences on city-to-city heterogeneity in PM2.5-mortality associations in U.S. Cities",
      "description": "This dataset contains information on the cluster characteristics, health effect estimates, and the meta-regression results. \n\nThis dataset is associated with the following publication:\nBaxter, L., J. Crooks, and J. Sacks. Influence of exposure differences on city-to-city heterogeneity in PM2.5-mortality associations in US cities.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16(1): 1-8, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-15dx-523",
      "keyword": [
        "Fine Particulate Matter",
        "epidemiology",
        "air pollution exposure"
      ],
      "contactPoint": {
        "fn": "Lisa Baxter",
        "hasEmail": "mailto:baxter.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "Baxter_A-15dx_datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/523/Baxter_A-15dx_datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-20",
      "references": [
        "https://doi.org/10.1186/s12940-016-0208-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Structure-Use Relationship Model Predictions to evaluate Tox21 Chemicals as Functional Substitutes and Candidate Alternatives",
      "description": "This dataset provides a prediction for all Tox21 chemicals with available QSUR descriptors across all 41 valid QSUR models developed with FUse. \n\nThis dataset is associated with the following publication:\nPhillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19: 1063-1074, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-wdcg-510",
      "keyword": [
        "ExpoCast",
        "functional use",
        "qsar",
        "machine learning algorithms",
        "consumer products",
        "alternatives assement",
        "high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "qsur_predictions_for_tox21_library.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/510/qsur_predictions_for_tox21_library.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-30",
      "references": [
        "https://doi.org/10.1039/c6gc02744j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Functional Use Database (FUse)",
      "description": "There are five different files for this dataset:\n1. A dataset listing the reported functional uses of chemicals (FUse)\n2. All 729 ToxPrint descriptors obtained from ChemoTyper for chemicals in FUse\n3. All EPI Suite properties obtained for chemicals in FUse\n4. The confusion matrix values, similarity thresholds, and bioactivity index for each model.\n5. The functional use prediction, bioactivity index, and prediction classification (poor prediction, functional substitute, candidate alternative) for each Tox21 chemical. \n\nThis dataset is associated with the following publication:\nPhillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19: 1063-1074, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-wdcg-495",
      "keyword": [
        "ExpoCast",
        "functional use",
        "qsar",
        "machine learning algorithms",
        "consumer products",
        "alternatives assement",
        "high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "functional_use_database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/495/functional_use_database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-30",
      "references": [
        "https://doi.org/10.1039/c6gc02744j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Structure-Use Relationship (QSUR) Model Descriptors",
      "description": "This data set contains ToxPrint finger prints for all chemicals in FUse that had QSAR-ready SMILES strings as well as select physicochemical properties from the Estimation Program Interface Suite (EPI Suite) program. \n\nThis dataset is associated with the following publication:\nPhillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19: 1063-1074, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-wdcg-508",
      "keyword": [
        "ExpoCast",
        "functional use",
        "qsar",
        "machine learning algorithms",
        "consumer products",
        "alternatives assement",
        "high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "toxprint_structural_descriptors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/508/toxprint_structural_descriptors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "epi_suite_physicochemical_properties.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/508/epi_suite_physicochemical_properties.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-30",
      "references": [
        "https://doi.org/10.1039/c6gc02744j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Structure-Use Relationship Model thresholds for Model Validation, Domain of Applicability, and Candidate Alternative Selection",
      "description": "This file contains value of the model training set confusion matrix, domain of applicability evaluation based on training set to predicted chemicals structural similarity, and 75th percentile bioactivity index values for each QSUR model. \n\nThis dataset is associated with the following publication:\nPhillips, K., J. Wambaugh, C. Grulke, K. Dionisio, and K. Isaacs. High-throughput screening of chemicals as functional substitutes using structure-based classification models.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19: 1063-1074, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-wdcg-509",
      "keyword": [
        "ExpoCast",
        "functional use",
        "qsar",
        "machine learning algorithms",
        "consumer products",
        "alternatives assement",
        "high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "qsur_model_rankings_and_thresholds.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/509/qsur_model_rankings_and_thresholds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-30",
      "references": [
        "https://doi.org/10.1039/c6gc02744j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Turkey Run Landfill Emissions Dataset",
      "description": "landfill emissions measurements for the Turkey run landfill in Georgia. \n\nThis dataset is associated with the following publication:\nDe la Cruz, F., R. Green, G. Hater, J. Chanton, E. Thoma , T. Harvey, and M. Barlaz. Comparison of Field Measurements at a New Landfill to Methane Emissions Models.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(17): 9483-9441, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-0gb7-449",
      "keyword": [
        "Methane",
        "Landfill",
        "OTM 33B",
        "Mobile Measurements"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Landfill Emissions Study Data Set and Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/449/Landfill%20Emissions%20Study%20Data%20Set%20and%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-10",
      "references": [
        "https://doi.org/10.1021/acs.est.6b00415"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2016 Uinta Basin Pneumatic Controller Study Database",
      "description": "2016 Uinta Basin Pneumatic Controller Study Database: This study along with select figures and calculations. \n\nThis dataset is associated with the following publication:\nThoma, E., P. Deshmukh, R. Logan, M. Stovern, C. Dresser, and H. Brantley. Assessment of Uinta Basin Oil and Natural Gas Well Pad Pneumatic Controller Emissions.   Journal of Environmental Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 8(4): 394-415, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-kh1r-460",
      "keyword": [
        "Pneumatic Controller",
        "Oil and Natural Gas Production",
        "Uinta Basin",
        "Methane",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "2016 Uinta Basin PC Study Summary_122016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/460/2016%20Uinta%20Basin%20PC%20Study%20Summary_122016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QAPP-1J16-019.R1 QT16006_04 QAPP Uinta Basin PC Study WA 1-037_final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/460/QAPP-1J16-019.R1%20QT16006_04%20QAPP%20Uinta%20Basin%20PC%20Study%20WA%201-037_final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Canister Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/460/Canister%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kimray Controller Vent Calculator.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/460/Kimray%20Controller%20Vent%20Calculator.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Alicat Viscosity correction.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/460/Alicat%20Viscosity%20correction.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-16",
      "references": [
        "https://doi.org/10.4236/jep.2017.84029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of cryopreserved trout hepatocytes and liver S9 fractions as in vitro tools for bioaccumulation assessment of chemicals that undergo biotransformation in fish",
      "description": "The purpose of this study was to compare two in vitro systems, cryopreserved trout hepatocytes and trout liver S9 fractions, used to predict in vivo levels of biotransformation in fish.  This information is needed to refine modeled estimates of bioaccumulation for hydrophobic organic chemicals that undergo biotransformation.  In this effort we used trout hepatocytes to measure in vitro biotransformation of 6 polycyclic aromatic hydrocarbons (PAHs).  The results were compared to metabolism rates reported previously for trout liver S9 fractions.  Results obtained using both in vitro systems were then used to predict measured levels of hepatic clearance for the same test chemicals exhibited by isolated perfused livers.  The results of this study suggest that both in vitro systems are well suited for performing in vitro-in vivo metabolism extrapolations with fish as a means for improving modeled bioaccumulation predictions. \n\nThis dataset is associated with the following publication:\nFay, K., P. Fitzsimmons, A. Hoffman, and J. Nichols. Comparison of trout hepatocytes and liver S9 fractions  as in vitro models for predicting hepatic clearance in fish.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry,  FL, USA, 36(2): 463-471, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-b2rm-195",
      "keyword": [
        "bioaccumulation",
        "rainbow trout fish",
        "biotransformation",
        "in vitro-in vivo extrapolation",
        "fish",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Fay et al 2016_IPL_Hep_Comparison_ Science Hub Data Summary_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/195/Fay%20et%20al%202016_IPL_Hep_Comparison_%20Science%20Hub%20Data%20Summary_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-18",
      "references": [
        "https://doi.org/10.1002/etc.3572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E331 Behavior TP HF RW O3 SHC2.63",
      "description": "Human and animal studies indicate that maternal obesity can negatively impact aspects of metabolism and neurodevelopment in the offspring.  Not known, however, is whether maternal exercise can alter these adverse outcomes.  In this study, Long-Evans female rats were provided a high fat (60%; HFD) or control diet (CD) 44 days before mating and throughout gestation and lactation.  Running wheels were available to half of each diet group during the gestational period only: CD diet with (CDRW) or without (sedentary; CDSED) exercise, and HFD with (HFRW) or without (HFSED) exercise.  The offspring in this study were put on control diet after weaning and examined using a number of behavioral evaluations up to 4 months of age.  Offspring of CDRW dams weighed less than offspring from CDSED dams, as well as from HFD dams.  After weaning, the lower weight in CDRW offspring persisted in male, but not female, rats.  Male (females not tested) offspring from HFSED dams performed worse than other groups in a Morris water maze during initial spatial training as well as reversal learning; memory was not impacted.  Female, but not male, offspring from the HFSED dams showed less preference for chocolate milk during a 2-bottle choice test.  No differences were seen in tests of novel object recognition, social approach, or locomotor activity.  Thus, maternal diet and exercise produced differential effects on growth and selective behaviors in the offspring, and the data demonstrate a positive impact of maternal exercise on the offspring in that it ameliorated some deleterious behavioral effects of a maternal high fat diet. \n\nThis dataset is associated with the following publication:\nMoser, V., K. Mcdaniel, E. Wooland, P. Phillips, J. Franklin, and C. Gordon. IMPACTS OF MATERNAL DIET AND EXERCISE ON OFFSPRING BEHAVIOR AND GROWTH.   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA,  46-50, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-jdg3-531",
      "keyword": [
        "Maternal Diet",
        "Offspring",
        "behavior",
        "Exercise",
        "Rat"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "GordonChristopher_E331 Behavior TP HF O3 SHC 2_63_dataset_20170314 SCID A-jdg3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/531/GordonChristopher_E331%20Behavior%20TP%20HF%20O3%20SHC%202_63_dataset_20170314%20SCID%20A-jdg3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-24",
      "references": [
        "https://doi.org/10.1016/j.ntt.2017.07.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E331 TP HF RW O3 SHC2.63 SCID: A-bvqk",
      "description": "Data for differing physiological measures of dams on high fat or control diet with/without exercise and physiological effects on male and female offspring. \n\nThis dataset is associated with the following publication:\nGordon, C., P. Phillips, A. Johnstone, J. Schmid, M. Schladweiler, A. Ledbetter, S. Snow, and U. Kodavanti. EFFECTS OF MATERNAL HIGH FAT DIET AND SEDENTARY LIFESTYLE ON SUSCEPTIBILITY OF ADULT OFFSPRING TO OZONE EXPOSURE IN RATS.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA,  239-254, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-bvqk-530",
      "keyword": [
        "Maternal Diet",
        "Sedentary",
        "Exercise",
        "Rat",
        "pulmonary",
        "Offspring",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "GordonChristopher_E331 TP HF O3 SHC 2_63_dataset_20170309 SCID A-bvqk.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/530/GordonChristopher_E331%20TP%20HF%20O3%20SHC%202_63_dataset_20170309%20SCID%20A-bvqk.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-17",
      "references": [
        "https://doi.org/10.1080/08958378.2017.1342719"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PM mass and elemental species concentration data for I-96 monitoring sites",
      "description": "PM2.5 (fine) and PM10-2.5 (coarse) mass concentrations for monitoring sites located 10 m, 100 m and 300 m north of Interstate I-96 in Detroit, the water-soluble and acid-soluble elemental species concentrations for each, and results of factor analysis using these data. \n\nThis dataset is associated with the following publication:\nOakes, M., J. Burke, G. Norris, K. Kovalcik, J.P. Pancras, and M. Landis. Near-road enhancement and solubility of fine and coarse particulate matter trace elements near a major interstate in Detroit, Michigan.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 145: 213-224, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-69pg-518",
      "keyword": [
        "air pollution",
        "particulate matter",
        "near road",
        "Trace metals",
        "Traffic sources",
        "Brake wear"
      ],
      "contactPoint": {
        "fn": "Janet Burke-Norris",
        "hasEmail": "mailto:burke.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "A-69pg_Data_Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/518/A-69pg_Data_Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-12",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.09.034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for GMD article \"A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1\"",
      "description": "These data were used to generate the figures included in the following manuscript: Fahey, et al. (2017) \"A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1\". Geosci. Mod. Dev. \n\nThis dataset is associated with the following publication:\nFahey, K., A. Carlton, H. Pye, J. Baek, B. Hutzell, C. Stanier, K. Baker, W. Appel, M. Jaoui, and J. Offenberg. A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1587-1605, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-wh7p-547",
      "keyword": [
        ": aqueous chemistry",
        "clouds",
        "CMAQ",
        "KPP",
        "sulfate",
        "SOA"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure-data_Fahey.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/547/Figure-data_Fahey.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-04",
      "references": [
        "https://doi.org/10.5194/gmd-10-1587-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Laboratory simulations of the atmospheric mixed layer in flow over complex terrain",
      "description": "A laboratory study of the influence of complex terrain on the interface between a well-mixed boundary layer and an elevated stratified layer was conducted in the towing-tank facility of the U.S. Environmental Protection Agency.  The height of the mixed layer in the daytime boundary layer can have a strong influence on the concentration of pollutants within this layer.  Deflections of streamlines at the height of the interface are primarily a function of hill Froude number (Fr), the ratio of mixed-layer height (zi) to terrain height (h), and the crosswind dimension of the terrain.  The magnitude of the deflections increases as Fr increases and zi / h decreases.  For mixing-height streamlines that are initially below the terrain top, the response is linear with Fr; for those initially above the terrain feature the response to Fr is more complex.  Once Fr exceeds about 2, the terrain-related response of the mixed layer interface decreases somewhat with increasing Fr (toward more neutral flow).  Deflections are also shown to increase as the crosswind dimensions of the terrain increases.  Comparisons with numerical modeling, limited field data and other laboratory measurements reported in the literature are favorable. Additionally, visual observations of dye streamers suggests that the flow structure exhibited for our elevated inversions passing over three dimensional hills is similar to that reported in the literature for continuously stratified flow over two-dimensional hills. \n\nThis dataset is associated with the following publication:\nPerry, S., and W. Snyder. Laboratory simulations of the atmospheric mixed-layer in flow over complex topography.   PHYSICS OF FLUIDS. Physics of Fluids,    29(2): 020702, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-w6n0-522",
      "keyword": [
        "atmospheric mixed layer",
        "complex terrain",
        "stratified water channel"
      ],
      "contactPoint": {
        "fn": "Steven Perry",
        "hasEmail": "mailto:perry.steven@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 4 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%204%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%206%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 7 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%207%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%208%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 9 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%209%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 10 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%2010%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 11 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/522/Figure%2011%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-03",
      "references": [
        "https://doi.org/10.1063/1.4974505"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/522/documents/A-w6n0-DataDictionaryMLCT-Perry-20160805.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples",
      "description": "Population-based estimates of pesticide intake are needed to characterize exposure for particular demographic groups based on their dietary behaviors. Regression modeling performed on measurements of selected pesticides in composited duplicate diet samples allowed 1) estimation of pesticide intakes for a defined demographic community, and 2) comparison of dietary pesticide intakes between the composite and individual samples. Extant databases were useful for assigning individual samples to composites, but they could not provide the breadth of information needed to facilitate measurable levels in every composite. Composite sample measurements were found to be good predictors of pyrethroid pesticide levels in their individual sample constituents where sufficient measurements are available above the method detection limit. Statistical inference shows little evidence of differences between individual and composite measurements and suggests that regression modeling of food groups based on composite dietary samples may provide an effective tool for estimating dietary pesticide intake for a defined population. \n\nThis dataset is associated with the following publication:\nMichael, L., G.G. Brown, and L. Melnyk. Estimation of pyrethroid pesticide intake using regression modeling of food groups based on composite dietary samples...   Journal of Environmental Science and Health. Part B, Pesticides, Food Contaminants, and Agricultural Wastes. Marcel Dekker Incorporated, New York, NY, USA, 51(11): 751, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-4qrk-161",
      "keyword": [
        "pesticides",
        "food analysis",
        "dietary exposure",
        "community duplicat diet",
        "dietary pesticide intake",
        "regression modeling",
        "sample compositing",
        "pyrethroids"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "Sets 1-4 composites pesticides & phth rev3.2.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/161/Sets%201-4%20composites%20pesticides%20%26%20phth%20rev3.2.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bags proportions.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/161/Bags%20proportions.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Food list addins(lcm_msm 08162010).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/161/Food%20list%20addins%28lcm_msm%2008162010%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2010-09-30",
      "references": [
        "https://doi.org/10.1080/03601234.2016.1198640"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multiscale predictions of aviation-attributable PM 2.5 for US airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model ",
      "description": "NA. This dataset is not publicly accessible because: No EPA generated data was used in this work. It can be accessed through the following means: NA. Format: No EPA generated data was used in this work. \n\nThis dataset is associated with the following publication:\nWoody, M., H. Hsi-Wu Wong, J.J. West, and S. Arunachalam. Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 147: 384-394, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-fqzk-548",
      "keyword": [
        "CMAQ",
        "Aircraft emissions",
        "Plume-in-grid"
      ],
      "contactPoint": {
        "fn": "Matthew Woody",
        "hasEmail": "mailto:woody.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2017-02-15",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.10.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tables and figures from Gavett 2016 paper in Particle and Fibre Toxicology",
      "description": "The files in the dataset are labeled according to table or figure number as listed in the paper (Gavett et al., Particle and Fibre Toxicology, 13:17, 2016). The paper itself and an online additional file are also included. Data files from the additional file are labeled as Extra File with figures and tables labeled Table S1, Figure S1, etc. The files are all self explanatory with clearly labeled headers and notes explaining the data. Derived data can be traced back to original data by following the formula links in excel files. PDF report titles contain page numbers which reference summary tables used in the paper. \n\nThis dataset is associated with the following publication:\nGavett , S., C. Parkinson, G. Willson, C. Wood , A. Jarabek , K. Roberts, U. Kodavanti , and D. Dodd. Persistent Effects of Libby Amphibole and Amosite Asbestos Following Subchronic Inhalation in Rats.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 13(1): 17, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-bvqj-228",
      "keyword": [
        "asbestos",
        "Libby amphibole",
        "amosite",
        "inflammasome",
        "inflammation",
        "Inhalation exposures"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Gavett 2016 PartFibToxicol persistent effects LA and AM following subchr inhal.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Gavett%202016%20PartFibToxicol%20persistent%20effects%20LA%20and%20AM%20following%20subchr%20inhal.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Gavett 2016 PartFibToxicol Addtional File 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Gavett%202016%20PartFibToxicol%20Addtional%20File%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 two week exp BALF data Gavett 2016 PFT.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%201%20two%20week%20exp%20BALF%20data%20Gavett%202016%20PFT.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 two week exp mRNA data Gavett 2016 PFT.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%202%20two%20week%20exp%20mRNA%20data%20Gavett%202016%20PFT.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 two week exp BrdU data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%203%20two%20week%20exp%20BrdU%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4 three month exp lung fiber data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%204%20three%20month%20exp%20lung%20fiber%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5 three month exp BAL data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%205%20three%20month%20exp%20BAL%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6 three month exp cytokine and pathway data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Figure%206%20three%20month%20exp%20cytokine%20and%20pathway%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1 two week exp (p 87-94) and pathology (p 103) data Gavett 2016 PFT.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Table%201%20two%20week%20exp%20%28p%2087-94%29%20and%20pathology%20%28p%20103%29%20data%20Gavett%202016%20PFT.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 three month exp inhalation report mass conc and APS data Gavett 2016 PFT.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Table%202%20three%20month%20exp%20inhalation%20report%20mass%20conc%20and%20APS%20data%20Gavett%202016%20PFT.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 three month exp SEM data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Table%202%20three%20month%20exp%20SEM%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3 1 day to 3 month pathology (p 12-13) data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Table%203%201%20day%20to%203%20month%20pathology%20%28p%2012-13%29%20data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3 18 mo pathol (p 13, 16), Table S2 (early death p 11) and S3 (epid and test p 17-18).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Table%203%2018%20mo%20pathol%20%28p%2013%2C%2016%29%2C%20Table%20S2%20%28early%20death%20p%2011%29%20and%20S3%20%28epid%20and%20test%20p%2017-18%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Extra File Table S1 CBC data Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Extra%20File%20Table%20S1%20CBC%20data%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Extra File Figure S2 survival curves and cause of death Gavett 2016 PFT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/228/Extra%20File%20Figure%20S2%20survival%20curves%20and%20cause%20of%20death%20Gavett%202016%20PFT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-23",
      "references": [
        "https://doi.org/10.1186/s12989-016-0130-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Cyphert, J Toxicol Environ Health A, 2016: Long-Term Toxicity of Naturally Occurring Asbestos in Male Fischer 344 Rats",
      "description": "The data shown are raw values used in tables and figures published in Cyphert et al., J Toxicol Environ Health A, 2016. Besides the published paper which is included in the dataset, each file is clearly labeled with the table or figure number and 1 to 3 words indicating the subject of the table or figure. All table and figure files are excel spreadsheets which are clearly labeled with the data in columns. One word file has pathology notes used in the composition of figures 4 and 5. \n\nThis dataset is associated with the following publication:\nCyphert, J., M. McGee, A. Nyska, M. Schladweiler , U. Kodavanti , and S. Gavett. Long-Term Toxicity of Naturally Occurring Asbestos in Male Fischer 344 Rats.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(2): 49-60, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-vhj8-209",
      "keyword": [
        "Libby amphibole",
        "chrysotile",
        "tremolite",
        "ferroactinolite",
        "fibrosis",
        "carcinogenesis"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Gavett_A-vhj8_published paper JTEHA 2016.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Gavett_A-vhj8_published%20paper%20JTEHA%202016.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1 fiber size data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Table%201%20fiber%20size%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 AB buxco data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Figure%201%20AB%20buxco%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 CD flexivent data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Figure%201%20CD%20flexivent%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 body weight survival data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Table%202%20body%20weight%20survival%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 pathology findings Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Table%202%20pathology%20findings%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 BAL cells data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Figure%202%20BAL%20cells%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 BAL biochemistry data Cyphert 2016 JTEHA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Figure%203%20BAL%20biochemistry%20data%20Cyphert%202016%20JTEHA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures 4 and 5 pathology notes Cyphert 2016 JTEHA.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/209/Figures%204%20and%205%20pathology%20notes%20Cyphert%202016%20JTEHA.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-18",
      "references": [
        "https://doi.org/10.1080/15287394.2015.1099123"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAPS source apportionment",
      "description": "This dataset includes concentrations of trace inorganic elements, ions, and organic/element carbon of PM collected from two sampling sites (GT Craig and Chippewa Lake) in Cleveland as well as PM source profiles/contributions to each sampling sites. \n\nThis dataset is associated with the following publication:\nKim, Y., T. Krantz, J. Mcgee, K. Kovalcik, R. Duvall, R. Willis, A. Kamal, M. Landis, G. Norris, and I. Gilmour. Chemical Composition and Source Apportionment of Size Fractionated Particulate Matter in Cleveland, Ohio, USA.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 218: 1180-1190, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-ht7m-147",
      "keyword": [
        "cleveland",
        "air pollution",
        "source apportionment",
        "urban",
        "rural"
      ],
      "contactPoint": {
        "fn": "Matthew Gilmour",
        "hasEmail": "mailto:gilmour.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/147/Description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/147/Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Research Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/147/Research%20Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Research Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/147/Research%20Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-27",
      "references": [
        "https://doi.org/10.1016/j.envpol.2016.08.073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/147/documents/Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "QSARs for Plasma Protein Binding: Source Data and Predictions",
      "description": "The dataset has all of the information used to create and evaluate 3 independent QSAR models for the fraction of a chemical unbound by plasma protein (Fub) for environmentally relevant chemicals. In vitro plasma protein values for 1245 pharmaceuticals and 406 ToxCast chemicals were collected from the literature (Obach 2008, Zhu 2013, Wetmore 2012, Wetmore 2015). The 21 descriptors calculated by MOE that were used in the models are included, as is an acid/base/neutral/zwitterions classification based on ionization percentages calculated in ADMET Predictor. Finally, the dataset includes the in silico Fub predictions for each chemical from the constructed k-nearest neighbor, support vector machine, and random forest QSAR models, as well as a consensus (average) prediction. \n\nThis dataset is associated with the following publication:\nIngle, B., R. Tornero-Velez, J. Nichols, and B. Veber. Informing the Human Plasma Protein Binding of Environmental Chemicals by Machine Learning in the Pharmaceutical Space: Applicability Domain and Limits of Predictability.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 56(11): 2243-2252, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-rbpk-569",
      "keyword": [
        "Environmental toxicology",
        "plasma protein binding",
        "machine learning",
        "domain of applicability",
        "quantitative structure activity relationship (QSAR)"
      ],
      "contactPoint": {
        "fn": "Rogelio Tornero-Velez",
        "hasEmail": "mailto:tornero-velez.rogelio@epa.gov"
      },
      "distribution": [
        {
          "title": "PPB_JChemInfMod_Supp_AllData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/569/PPB_JChemInfMod_Supp_AllData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-26",
      "references": [
        "https://doi.org/10.1021/acs.jcim.6b00291"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/569/documents/DataDictionary_PPB_JCIM.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Multipollutant health effect simulations",
      "description": "Resulting betas (health effects) from a variety of copollutant epidemiologic models used to analyze the impact of exposure measurement error on health effect estimates. \n\nThis dataset is associated with the following publication:\nDionisio , K., H.H. Chang, and L. Baxter. A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series models..   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 15: 114, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-9kdf-573",
      "keyword": [
        "Exposure modeling",
        "exposure measurement error",
        "Exposure Assessment",
        "bias",
        "copollutant"
      ],
      "contactPoint": {
        "fn": "Kathie Dionisio",
        "hasEmail": "mailto:dionisio.kathie@epa.gov"
      },
      "distribution": [
        {
          "title": "RunSimBatchv2_2016August15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/573/RunSimBatchv2_2016August15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-15",
      "references": [
        "https://doi.org/10.1186/s12940-016-0186-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing model characterization of single source secondary pollutant impacts using 2013 SENEX field study measurements",
      "description": "The dataset consists of 4 comma-separated value (csv) text files and 3 netCDF data files. Each csv file contains the observed and CMAQ modeled gas and aerosol concentrations collected during the SENEX field campaign. The netCDF files contain ground layer modeled single source contributions. The headers of each file contain the variable names for each column. An additional data dictionary with variable descriptions and units for the csv files is included with the data along with a file detailing the mapping of files to figures in the manuscript. \n\nThis dataset is associated with the following publication:\nBaker, K., and M. Woody. Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(7): 3833-3842, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-mw74-549",
      "keyword": [
        "CMAQ",
        "CMAQ ISAM"
      ],
      "contactPoint": {
        "fn": "Matthew Woody",
        "hasEmail": "mailto:woody.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/549/data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-19",
      "references": [
        "https://doi.org/10.1021/acs.est.6b05069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of the crop residue and rangeland burning in the 2014 National Emissions Inventory using information from multiple sources",
      "description": "This workbook contains all the activity data, emission factor data, and ancillary data used to compute crop residue  burning and rangeland emissions for the 2014 NEI as described in the journal article (see citation) in addition to the data associated with Figures 1-5. \n\nThis dataset is associated with the following publication:\nPouliot, G., V. Rao, J. McCarty, and A. Soja. Development of the crop residue and rangeland burning in the 2014 National Emissions Inventory using information from multiple sources.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 67(5): 613-622, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-4b8m-516",
      "keyword": [
        "2014 NEI",
        "Crop Residue Burning",
        "Rangeland Burning",
        "National Emission Inventory",
        "Cropland data Layer",
        "Hazard Mapping System"
      ],
      "contactPoint": {
        "fn": "George Pouliot",
        "hasEmail": "mailto:pouliot.george@epa.gov"
      },
      "distribution": [
        {
          "title": "Pouliot_A-4b8m_Dataset_20170307.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/516/Pouliot_A-4b8m_Dataset_20170307.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-25",
      "references": [
        "https://doi.org/10.1080/10962247.2016.1268982"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Changes in Landscape Greenness and Climatic Factors over 25 Years (1989–2013) in the USA",
      "description": "The asci files are the probability of the NDVI trend (slope) and the direction of the NDVI trend (+/-).  These files can be mapped in ArcMap using ArcToolbox (conversion tools and asci to raster).  The asci files are for maps in Figures 1,2 and 4 in the publication.\n\nFigures.xlsx; Contains 8 Figures, each in a sheet titled same as in the publication. Except for Figure 3, all figures contain information about labeling the axis in publication. \n\nThis dataset is associated with the following publication:\nNash, M., J. Wickham, J. Christensen, and T. Wade. Changes in Landscape Greenness and Climatic Factors over 25 Years (1989–2013) in the USA.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 9(3): 295, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-prrq-586",
      "keyword": [
        "long-term monitoring",
        "NDVI change",
        "USA",
        "direct factors",
        "climatic factors",
        "autoregression model"
      ],
      "contactPoint": {
        "fn": "Maliha Nash",
        "hasEmail": "mailto:nash.maliha@epa.gov"
      },
      "distribution": [
        {
          "title": "Nash_2017_data_ScinceHOP.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/586/Nash_2017_data_ScinceHOP.zip",
          "mediaType": "application/octet-stream",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-21",
      "references": [
        "https://doi.org/10.3390/rs9030295"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An integrated ecological modeling system for assessing impacts of multiple stressors on stream and riverine ecosystem services within river basins",
      "description": "We demonstrate a novel, spatially explicit assessment of the current condition of aquatic ecosystem services, with limited sensitivity analysis for the atmospheric contaminant mercury. The Integrated Ecological Modeling System (IEMS) forecasts water quality and quantity, habitat suitability for aquatic biota, fish biomasses, population densities, productivities, and contamination by methylmercury across headwater watersheds. We applied this IEMS to the Coal River Basin (CRB), West Virginia (USA), an 8-digit hydrologic unit watershed, by simulating a network of 97 stream segments using the SWAT watershed model, a watershed mercury loading model, the WASP water quality model, the PiSCES fish community estimation model, a fish habitat suitability model, the BASS fish community and bioaccumulation model, and an ecoservices post-processer. Model application was facilitated by automated data retrieval and model setup and updated model wrappers and interfaces for data transfers between these models from a prior study. This companion study evaluates baseline predictions of ecoservices provided for 1990–2010 for the population of streams in the CRB and serves as a foundation for future model development. \n\nThis dataset is associated with the following publication:\nJohnston , J., C. Barber , K. Wolfe , M. Galvin , M. Cyterski , and R. Parmar. An integrated ecological modeling system for assessing impacts of multiple stressors on stream and riverine ecosystem services within river basins.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 354: 104-114, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-612r-555",
      "keyword": [
        "integrated ecological modeling",
        "multiple stressors",
        "landuse change",
        "aquatic ecosystem services",
        "Spatially explicit exposure",
        "Forecasting",
        "Freshwater provisioning",
        "; multiple stressors"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "Ecological Modeling Figures and Tables data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/555/Ecological%20Modeling%20Figures%20and%20Tables%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/ceam/3mra",
          "accessURL": "https://www.epa.gov/ceam/3mra",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-11",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2017.03.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/555/documents/ESP_Output.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "On the implications of aerosol liquid water and phase separation for organic aerosol mass",
      "description": "This dataset contains data presented in the figures of the paper \"On the implications of aerosol liquid water and phase separation for organic aerosol mass\" published in Atmospheric Chemistry and Physics. It also links to the data archive of field observations. \n\nThis dataset is associated with the following publication:\nPye, H., B. Murphy, L. Xu, N. Ng, A. Carlton, H. Guo, R. Weber, P. Vasilakos, W. Appel, S. Budisulistiorini, J. Surratt, A. Nenes, W. Hu, J. Jimenez, G. saacman-VanWertz, P. Misztal, and A. Goldstein. On the implications of aerosol liquid water and phase separation for organic aerosol mass.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 343-369, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-gf28-504",
      "keyword": [
        "air quality",
        "Secondary Organic Aerosol",
        "SOA",
        "SOAS",
        "Aerosol",
        "CMAQ",
        "WRF-CMAQ",
        "Southeastern USA",
        "organic aerosol"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.atmos-chem-phys.net/17/343/2017/acp-17-343-2017-assets.html",
          "accessURL": "https://www.atmos-chem-phys.net/17/343/2017/acp-17-343-2017-assets.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-06",
      "references": [
        "https://doi.org/10.5194/acp-17-343-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measured exposure metrics",
      "description": "measured air pollution exposure metrics. \n\nThis dataset is associated with the following publication:\nBreen , M., T. Long , B. Schultz, R. Williams , J. Richmond-Bryant , M. Breen, J. Langstaff , R. Devlin , A. Schneider, J. Burke , S.A. Batterman, and Q.Y. Meng. Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(24): 14184-14194, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-4f4v-187",
      "keyword": [
        "air pollution",
        "exposure",
        "human health"
      ],
      "contactPoint": {
        "fn": "Michael Breen",
        "hasEmail": "mailto:breen.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "rtp_tads.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/187/rtp_tads.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "rtp_pm_data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/187/rtp_pm_data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-05",
      "references": [
        "https://doi.org/10.1021/acs.est.5b02765"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/187/documents/rtp_pm_data_dictionary.doc",
        "mediaType": "application/msword"
      },
      "accessRights": "public"
    },
    {
      "title": "GMAP Phoenix 2013 data",
      "description": "mobile monitoring data from the 2013 Phoenix study. \n\nThis dataset is associated with the following publication:\nVenkatram, A., V. Isakov , P. Deshmukh, and R. Baldauf. Modeling the impact of solid noise barriers on near road air quality.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 462-469, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-nck9-431",
      "keyword": [
        "dispersion modeling",
        "air quality",
        "near road",
        "noise barriers",
        "traffic"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Phoenix2013data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/431/Phoenix2013data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-12-22",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.07.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Transport Model Simulations of Organic Aerosol in Southern California: Model Evaluation and Gasoline and Diesel Source Contributions",
      "description": "Gasoline- and diesel-fueled engines are ubiquitous sources of air pollution in urban environments. They emit both primary particulate matter and precursor gases that react to form secondary particulate matter in the atmosphere. In this work, we use experimentally derived inputs and parameterizations to predict concentrations and properties of organic aerosol (OA) from mobile sources in southern California using a three-dimensional chemical transport model, the Community Multiscale Air Quality Model (CMAQ). The updated model includes secondary organic aerosol (SOA) formation from unspeciated intermediate volatility organic compounds (IVOC). Compared to the treatment of OA in the traditional version of CMAQ, which is commonly used for regulatory applications, the updated model did not significantly alter the predicted OA mass concentrations but it did substantially improve predictions of OA sources and composition (e.g., POA-SOA split), and ambient IVOC concentrations. The updated model, despite substantial differences in emissions and chemistry, performs similar to a recently released research version of CMAQ. Mobile sources are predicted to contribute about 30–40 % of the OA in southern California (half of which is SOA), making mobile sources the single largest source contributor to OA in southern California. The remainder of the OA is attributed to non-mobile anthropogenic sources (e.g., cooking, biomass burning) with biogenic sources contributing less than 5 % to the total OA. Gasoline sources are predicted to contribute about thirteen times more OA than diesel sources; this difference is driven by differences in SOA production. Model predictions highlight the need to better constrain multi-generational oxidation reactions in chemical transport models. \n\nThis dataset is associated with the following publication:\nJathar, S., M. Woody, H. Pye, K. Baker, and A. Robinson. Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 4305-4318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-tmq4-532",
      "keyword": [
        "Secondary Organic Aerosol",
        "CalNex",
        "Jathar",
        "California",
        "gasoline",
        "diesel",
        "vehicles",
        "SOA",
        "Aerosol"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "calnex_ivoc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/532/calnex_ivoc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.5194/acp-17-4305-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.1 Base NEIv1 AQS hourly site compare files",
      "description": "CMAQv5.1 Base NEIv1 AQS hourly sitex files containing hourly paired model/ob data for the AQS network. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500016",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv51_Base_NEIv1_AQS_Hourly_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500016/CMAQv51_Base_NEIv1_AQS_Hourly_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-03",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500016/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "ACONC Files",
      "description": "ACONC files containing simulated ozone and PM2.5 fields that were used to create the model difference plots shown in the journal article. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500013",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv502_Base_aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500013/CMAQv502_Base_aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv51_Base_NEIv1_aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500013/CMAQv51_Base_NEIv1_aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv51_Base_NEIv2_aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500013/CMAQv51_Base_NEIv2_aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-03",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500013/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Site compare scripts and output",
      "description": "Monthly site compare scripts and output used to generate the model/ob plots and statistics in the manuscript. The AQS hourly site compare output files are not included as they were too large to store on ScienceHub. The files contain paired model/ob values for the various air quality networks. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500018",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_v502_Base_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500018/CMAQ_v502_Base_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv5.1_Base_NEIv1_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500018/CMAQv5.1_Base_NEIv1_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv5.1_Base_NEIv2_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500018/CMAQv5.1_Base_NEIv2_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-03",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500018/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv502 Base AQS Hourly site compare output",
      "description": "Monthly AQS hourly site compare output files for the CMAQv502 Base simulation. Monthly files contain hourly paired model/ob data for the AQS network. These data were used in some of model/ob plot provided in the manuscript. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500015",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv5.0.2_Base_AQS_Hourly_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500015/CMAQv5.0.2_Base_AQS_Hourly_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-03",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500015/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.1 Base NEIv2 AQS Hourly site compare output",
      "description": "CMAQv5.1 Base NEIv2 AQS Hourly site compare output containing paired model/ob values that were used for some of the plots in the manuscript. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500014",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv5.1_Base_NEIv2_AQS_Hourly_sitex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500014/CMAQv5.1_Base_NEIv2_AQS_Hourly_sitex.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-03",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500014/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.1 TUCL and RetroPhot ACONC files",
      "description": "January and July monthly average ACONC files for the CMAQv5.1 TUCL and RetroPhot sensitivity runs that were performed and presented in the manuscript. \n\nThis dataset is associated with the following publication:\nAppel, W., S. Napelenok, K. Foley, H. Pye, C. Hogrefe, D. Luecken, J. Bash, S. Roselle, J. Pleim, H. Foroutan, B. Hutzell, G. Pouliot, G. Sarwar, K. Fahey, B. Gantt, D. Kang, R. Mathur, D. Schwede, T. Spero, D. Wong, J. Young, and N. Heath. Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 1703-1732, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500017",
      "keyword": [
        "CMAQ",
        "WRF",
        "model evaluation",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv51_TUCL_RetroPhot_ACONC.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500017/CMAQv51_TUCL_RetroPhot_ACONC.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-04",
      "references": [
        "https://doi.org/10.5194/gmd-10-1703-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500017/documents/WyatAppel_A-9zwc_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Complex conductivity results to silver nanoparticles in partically saturated laboratory columns",
      "description": "Laboratory complex conductivity data from partially saturated sand columns with silver nanoparticles. This dataset is not publicly accessible because: It involves two universities and the EPA.  The EPA collaborated in the research; but did not provide funding.  The data are the property of the universities. It can be accessed through the following means: The authors can be contacted individually for the data. Format: The data will be in xlsx format. \n\nThis dataset is associated with the following publication:\nAbdel Aal, G., E. Atekwana, and D. Werkema. Complex conductivity response to silver nanoparticles in partially saturated sand columns.   JOURNAL OF APPLIED GEOPHYSICS. Elsevier Science Ltd, New York, NY, USA, 137: 73-81, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-m0cz-580",
      "keyword": [
        "nanosilver",
        "complex conductivity",
        "Nanoparticles"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [],
      "modified": "2016-11-14",
      "references": [
        "https://doi.org/10.1016/j.jappgeo.2016.12.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/580/documents/Abdel%20Aal%20et%20al%20nano%20vadose%20zone%20data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Alterations of Pb using Flue Gas Desulfurization Gypsum (FGDG) in two contaminated soils",
      "description": "The data include chemical composition of Pb contaminated soils by adding FGDG as an amendment.  The data shows the changes in Pb speciation to sulfur based minerals. \n\nThis dataset is associated with the following publication:\nKoralegedara, N., S. Al-Abed, S. Rodrigo, R. Karna, K. Scheckel, and D. Dionysiou. Alterations of lead speciation by sulfate from addition of flue gas desulfurization gypsum (FGDG) in two contaminated soils.  D. Barcelo  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 575: 1522-1529, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-t775-590",
      "keyword": [
        "Flue Gas Desulfurization Gypsum",
        "leaching test",
        "ferrihydrite bound Pb",
        "anglesite",
        "humic acid bound Pb",
        "leadhillite"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Pb manuscript Metadata data tables with data dictionary 2016 - Copy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/590/Pb%20manuscript%20Metadata%20data%20tables%20with%20data%20dictionary%202016%20-%20Copy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-06",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.10.027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/590/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental and fate and transport model simulation results of Se and B released from FGDG, soil and soil-FGDG mixture. ",
      "description": "The leachate concentrations of Se and B released from FGDG, soil and soil-FGDG mixture obtained from EPA-method 1314 is included in the data set. The non-equilibrium partitioning coefficients calculated based on the experimental data also included along with the predicted NPC values calculated using a regression model based on a power function. Long term environmental release of Se and B in agricultural field and a landfill calculated using fate and transport model simulation also included in the data set. \n\nThis dataset is associated with the following publication:\nKoralegedara, N., S. Al-Abed , M. Arambewela, and D. Dionysiou. Impact of Leaching Conditions on Constituents Release from Flue Gas Desulfurization Gypsum (FGDG) and FGDG-Soil Mixture.  Edith Rene, Robin Gerlach, Peter Galaz, Davide Zannoni and Piet Lens  JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 324: 83-93, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-g1kb-636",
      "keyword": [
        "Flue Gas Desulfurization Gypsum",
        "FGDG-soil mixture",
        "element leaching",
        "EPA-leaching methods",
        "Selenium",
        "Boron"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "FGDG manuscript Metadata data tables with data dictionary 2016 - Copy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/636/FGDG%20manuscript%20Metadata%20data%20tables%20with%20data%20dictionary%202016%20-%20Copy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-02",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2016.01.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/636/documents/Data%20dictionary-1.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Probabilistic estimation of residential air exchange rates for population-based exposure modeling",
      "description": "This dataset provides the city-specific air exchange rate measurements, modeled, literature-based as well as housing characteristics. \n\nThis dataset is associated with the following publication:\nBaxter, L., C. Stallings, L. Smith, and J. Burke. Probabilistic estimation of residential air exchange rates for population-based human exposure modeling.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 27: 227-234, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-n5tv-613",
      "keyword": [
        "air exchange rates",
        "air pollution",
        "exposure error",
        "Exposure modeling",
        "infiltration",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Janet Burke-Norris",
        "hasEmail": "mailto:burke.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "Burke A-n5tv dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/613/Burke%20A-n5tv%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-11-25",
      "references": [
        "https://doi.org/10.1038/jes.2016.49"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Temperature profiles of three types CNTs (SWCNT, MWCNT and MWCNT-COOH) loaded environmental matrices generated from a microwave induced heating quantification method",
      "description": "Relationships of temperature and CNT mass (SWCNT, MWCNT, MWCNT-COOH) were developed for three environmental matrices (sand, soil and sludge) spiked with known amounts of different types of CNTs that were then irradiated in a microwave at low energies (70-149 W) for a short time (15-30 sec). Temperature rises data were recorded for CNT loaded environmental samples with excess of inorganic/organic carbon and other carbonaceous nanomaterials (C60, GAC and GO). \n\nThis dataset is associated with the following publication:\nHe, Y., S. Al-Abed, and D. Dionysiou. Quantification of Carbon Nanotubes in Different Environmental Matrices by a Microwave Induced Heating Method.  D. Barcelo, and Jay Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 580: 509-517, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-zpd1-639",
      "keyword": [
        "carbon nanotubes",
        "Quantitative analysis",
        "Microwave method",
        "Quartz sand",
        "soil",
        "Anaerobic sludge"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Microwave_CNTs manuscript Metadata  data tables with data dictionary 2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/639/Microwave_CNTs%20manuscript%20Metadata%20%20data%20tables%20with%20data%20dictionary%202016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-03",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.11.205"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/639/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "RW1",
      "description": "Wind tunnel measurements of flow and dispersion from a simulated roadway with near-road solid barriers. \n\nThis dataset is associated with the following publication:\nAhangar, F., D. Heist, S. Perry, and A. Venkatram. Reduction of air pollution levels downwind of a road with an upwind noise barrier.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 155: 1-10, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-dv4c-515",
      "keyword": [
        "dispersion modeling",
        "near road",
        "noise barriers",
        "wind tunnel"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Heist A-dv4c-DataFiles_RW1-20170307.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/515/Heist%20A-dv4c-DataFiles_RW1-20170307.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-07",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.02.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/515/documents/Heist%20A-dv4c-DataDictionaryRW1-20170307.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "The Acute Toxicity of Major Ion Salts to Ceriodaphnia dubia: I. Influence of background water chemistry.",
      "description": "This dataset provides concentration-response data and associated general chemistry conditions for 26 experiments consisting of 149 tests regarding the acute toxicity of major ions to Ceriodaphnia dubia in a variety of test waters; it also provides LC50 estimates and the estimated ion mixtures at the LC50 for each toxicity test. \n\nThis dataset is associated with the following publication:\nMount , D., R. Erickson , T. Highland , R. Hockett , D. Hoff , T. Norberg-King , K. Peterson, Z.  Polaske, and S. Wisniewski. The acute toxicity of major ion salts to Ceriodaphnia dubia: I. Influence of background water chemistry.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(12): 3039-3057, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-0gb6-45",
      "keyword": [
        "Ceriodaphnia dubia",
        "Acute Toxicity",
        "Test Water Chemistry Effects",
        "Major Ion Toxicity",
        "Freshwater"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "MEDIonToxPaper1_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/45/MEDIonToxPaper1_Dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-05",
      "references": [
        "https://doi.org/10.1002/etc.3487"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/45/documents/MEDIonToxPaper1_DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Box photosynthesis modeling results for WRF/CMAQ LSM",
      "description": "Box Photosynthesis model simulations for latent heat and ozone at 6 different FLUXNET sites. \n\nThis dataset is associated with the following publication:\nRan, L., J. Pleim, C. Song, L. Band, J. Walker, and F. Binkowski. A photosynthesis-based two-leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 122(3): 1930-1952, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-w9h7-567",
      "keyword": [
        "photosynthesis",
        "PX LSM",
        "WRF/CMAQ",
        "ozone deposition",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Limei Ran",
        "hasEmail": "mailto:ran.limei@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_science_hub_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/567/EPA_science_hub_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-27",
      "references": [
        "https://doi.org/10.1002/2016jd025583"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for manuscript titled \"Historical trends in PM2.5 related premature mortality during 1990-2010 across the northern hemisphere\"",
      "description": "This manuscript has 6 figures:\r\nFigure 1 shows the modeling domain and includes a map with the different analysis sub-regions. Shapefiles to be used with ArcGIS for re-creating this figure is included. \r\n\r\nThe file named “EHP_data_summary” is and Excel file and includes the data used in creation of Figures 2-6.  \r\n\r\nNote that these data files are a result of extensive data processing of many terra-bytes of model output from the hemispheric WRF-CMAQ model.  The manuscript includes details on how this analysis was conducted, and other data-sets incorporated. \n\nThis dataset is associated with the following publication:\nWang, J., J. Xing , R. Mathur , J. Pleim , S. Wang, C. Hogrefe , M. Gan , D. Wong , and J. Hao. Historical Trends in PM2.5-Related Premature Mortality during 1990-2010 across the Northern Hemisphere.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(3): 400–408, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-t774-221",
      "keyword": [
        "Hemispheric CMAQ",
        "PM2.5 long-term exposure",
        "emission mitigation efficiency",
        "Air quality trends",
        "air pollution exposure"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "EHP_data_Readme.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/221/EHP_data_Readme.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EHP_data_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/221/EHP_data_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EHP_figure1_shapefile_for_ArcGIS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/221/EHP_figure1_shapefile_for_ArcGIS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-01",
      "references": [
        "https://doi.org/10.1289/ehp298"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Arsenic Paper",
      "description": "Contains data related to Arsenate and Arsenite injections into chlorinated distribution system simulator. Contains data related to model to predict arsenate and arsenite aqueous and wall concentrations within a chlorinated water distribution system. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., J. Szabo, S. Klosterman, J. Hall, and R. Murray. Modeling Fate and Transport of Arsenic in a Chlorinated Distribution System.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 93(1): 322-331, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-n2zm-432",
      "keyword": [
        "drinking water",
        "water quality",
        "modeling",
        "homeland security",
        "water security",
        "water distribution",
        "adsorption"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Burkhardt-Murray_SciHubData_ArsenicModelingPaper_2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/432/Burkhardt-Murray_SciHubData_ArsenicModelingPaper_2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-07",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.03.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Function Predictions for Tox21 Chemicals",
      "description": "Random forest chemical function predictions for Tox21 chemicals in personal care products uses and \"other\" uses. \n\nThis dataset is associated with the following publication:\nIsaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 3: 723-732, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-mpgn-485",
      "keyword": [
        "chemical function",
        "Exposure modeling",
        "chemical prioritization",
        "consumer products",
        "cosmetics",
        "ExpoCast",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "ALLPCPPREDS_080516.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/485/ALLPCPPREDS_080516.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ALLOTHERPREDS_080516.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/485/ALLOTHERPREDS_080516.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-05",
      "references": [
        "https://doi.org/10.1016/j.toxrep.2016.08.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/485/documents/read_me_metadata_Tox21preds.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical product and function dataset",
      "description": "Merged product weight fraction and chemical function data. \n\nThis dataset is associated with the following publication:\nIsaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 3: 723-732, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-mpgn-483",
      "keyword": [
        "chemical function",
        "Exposure modeling",
        "chemical prioritization",
        "consumer products",
        "cosmetics",
        "ExpoCast",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "MSDS_function_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/483/MSDS_function_data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-05",
      "references": [
        "https://doi.org/10.1016/j.toxrep.2016.08.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/483/documents/read_me_metadata_MSDSFunction.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemicals and harmonized functions",
      "description": "Chemicals and harmonized functions -  dataset of chemicals mapped to a harmonized chemical function category. \n\nThis dataset is associated with the following publication:\nIsaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 3: 723-732, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-mpgn-484",
      "keyword": [
        "chemical function",
        "Exposure modeling",
        "chemical prioritization",
        "consumer products",
        "cosmetics",
        "ExpoCast",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "function_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/484/function_data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-08",
      "references": [
        "https://doi.org/10.1016/j.toxrep.2016.08.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/484/documents/read_me_metadata_Function.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Importance of predictor variables for models of chemical function",
      "description": "Importance of random forest predictors for all classification models of chemical function. \n\nThis dataset is associated with the following publication:\nIsaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 3: 723-732, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-mpgn-486",
      "keyword": [
        "chemical function",
        "Exposure modeling",
        "chemical prioritization",
        "consumer products",
        "cosmetics",
        "ExpoCast",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "ranksfunctionimp.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/486/ranksfunctionimp.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-05",
      "references": [
        "https://doi.org/10.1016/j.toxrep.2016.08.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/486/documents/read_me_metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Examining the impacts of increased corn production on groundwater quality using a coupled modeling system",
      "description": "This dataset was used to create graphics associated with manuscript:  Garcia et al., Examining the impacts of increased corn production on groundwater quality using a coupled modeling system, 2017, Science of the Total Environment. \n\nThis dataset is associated with the following publication:\nGarcia, V., E. Cooter, J. Crooks, B. Hinckley, M. Murphy, and X. Xing. Examining the impacts of increased corn production on groundwater quality using a coupled modeling system.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 586: 16-24, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-hdrn-492",
      "keyword": [
        "irrigated corn",
        "nitrogen",
        "groundwater",
        "EPIC",
        "nitrate in groundwater"
      ],
      "contactPoint": {
        "fn": "Valerie Cover",
        "hasEmail": "mailto:garcia.val@epa.gov"
      },
      "distribution": [
        {
          "title": "FertilizerComparisonScenario2_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/492/FertilizerComparisonScenario2_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.02.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/492/documents/FertilizerScenarioComparison2_data_dic.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Figs1,2,3a",
      "description": "all data is in the netCDF format and zipped. after downloading this data, you need to unzip it first to create original netCDF formatted data. \n\nThis dataset is associated with the following publication:\nHe, J., T. Glotfelty, K. Yahya, K. Alapaty, and S. Yu. Does temperature nudging overwhelm aerosol radiative effects in regional integrated climate models?.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 154: 42-52, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-2z37-499",
      "keyword": [
        "aerosol radiative forcing",
        "nudging",
        "aerosol effects",
        "climate"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NudgingPRE_AtmosEnvPaperData/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NudgingPRE_AtmosEnvPaperData/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-19",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.01.040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wind tunnel evaluation of Hi-Vol TSP effectiveness data",
      "description": "Wind tunnel evaluation of EPA's Hi-Vol TSP sampler for sampling effectiveness with regards to aerodynamic particle diameter (5 to 35 microns), wind speed (2, 8, 24 km/hr), orientation (0, 45, and 90 degrees relative to wind vector), and operational state (ON or OFF). A Coulter Counter analysis of the three Arizona Test Dust mixtures is presented. \n\nThis dataset is associated with the following publication:\nKrug, J., A. Dart, C. Witherspoon, J. Gilberry, Q. Malloy, S. Kaushik, and R. Vanderpool. Review of the of EPA's High-Volume Total Size Selective Performance  (Hi-Vol TSP) Sampler.   AEROSOL SCIENCE AND TECHNOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 0(0): 1-20, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-fxq2-572",
      "keyword": [
        "Hi-Vol TSP",
        "wind tunnel",
        "Size selective performance",
        "total suspended particulate"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "HiVolData_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/572/HiVolData_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-26",
      "references": [
        "https://doi.org/10.1080/02786826.2017.1316358"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development and Multi-laboratory Verification of U.S. EPA Method 543 for the Analysis of Drinking Water Contaminants by On-Line Solid Phase Extraction-LC/MS/MS",
      "description": "A drinking water method for seven pesticides and pesticide degradates was developed that addresses the occurrence monitoring needs of the U.S. Environmental Protection Agency (EPA) for a future Unregulated Contaminant Monitoring Regulation (UCMR).  The method employs on-line solid phase extraction-liquid chromatography/tandem mass spectrometry (SPE-LC/MS/MS).  On-line SPE-LC/MS/MS has the potential to offer cost-effective, faster, more sensitive, and more rugged methods than the traditional off-line SPE approach due to complete automation of the SPE process, as well as seamless integration with the LC/MS/MS system.  Multi-laboratory data are presented that demonstrate method ruggedness and transferability.  The final method meets all of the EPA’s UCMR survey requirements for sample collection and storage, precision, accuracy, and sensitivity. \n\nThis dataset is associated with the following publication:\nShoemaker , J. Development and Multi-laboratory Verification of US EPA Method 543 for the Analysis of Drinking Water Contaminants by Online Solid Phase Extraction-LC–MS-MS.   Journal of Chromatographic Science. Preston Publications Incorporated, Niles, IL, USA, 54(9): 1532-1539, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-f1vw-611",
      "keyword": [
        "pesticides",
        "drinking water",
        "on-line SPE",
        "LC/MS/MS",
        "Method 543",
        "contaminant candidate list"
      ],
      "contactPoint": {
        "fn": "Jody Shoemaker",
        "hasEmail": "mailto:shoemaker.jody@epa.gov"
      },
      "distribution": [
        {
          "title": "ShoemakerJody_Method543_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/611/ShoemakerJody_Method543_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-11",
      "references": [
        "https://doi.org/10.1093/chromsci/bmw098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/611/documents/Definitions_Method%20543%20data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Predicted phototoxicities of carbon nano-material by quantum mechanical calculations",
      "description": "The data involves a prediction of phototoxicities of nano-materials.  The prediction is based on the calculated triplet excited states of fullerenols and single-walled carbon nanotubes.  The model used is one previously published using actual phototoxicities of polynuclear aromatic hydrocarbons and their calculated triplet excited states. \n\nThis dataset is associated with the following publication:\nBetowski, D. Predicted phototoxicities of carbon nano-material by quantum mechanical calculations.   Journal of Molecular Graphics and Modelling. Elsevier B.V., Amsterdam,  NETHERLANDS, 75: 102-105, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-m90n-180",
      "keyword": [
        "phototoxicity",
        "fullerenols",
        "single-walled carbon nanotubes",
        "ab initio calculations."
      ],
      "contactPoint": {
        "fn": "Leon Betowski",
        "hasEmail": "mailto:betowski.don@epa.gov"
      },
      "distribution": [
        {
          "title": "Predicted phototoxicities of carbon nano material.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/180/Predicted%20phototoxicities%20of%20carbon%20nano%20material.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-09",
      "references": [
        "https://doi.org/10.1016/j.jmgm.2017.03.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Contribution to Manuscript \"Evaluation and Error Apportionment of an Ensemble of Atmospheric Chemistry Transport Modelling Systems: Multi-variable Temporal and Spatial Breakdown\"",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Evaluation and Error Apportionment of an Ensemble of Atmospheric Chemistry Transport Modelling Systems: Multi-variable Temporal and Spatial Breakdown \" led by Dr. Efisio Solazzo of the European Commission's Joint Research Center. \n\nThis dataset is associated with the following publication:\nSolazzo, E., R. Bianconi, C. Hogrefe, G. Curci, P. Tuccella, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, J. Bieser, J. Brandt, J. Christensen, A. Colette, X. Francis, A. Fraser, M. Garcia Vivanco, P. Jiménez-Guerrero, U. Im, A. Manders, U. Nopmongcol, N. Kitwiroon, G. Pirovano, L. Pozzoli, M. Prank, R. Sokhi, A. Unal, G. Yarwood, and S. Galmarini. Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 3001-3054, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-z09b-493",
      "keyword": [
        "AQMEII",
        "model evaluation",
        "scale analysis",
        "model intercomparision",
        "ozone persistence"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "data_2010_0236_001_CO.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_001_CO.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_001_NO2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_001_NO2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_001_O3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_001_O3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_001_SO2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_001_SO2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_002_PM2_5.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_002_PM2_5.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_002_PM10.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_002_PM10.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_004_O3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_004_O3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_004_TEMP.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_004_TEMP.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_004_WS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_004_WS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_005_TEMP.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_005_TEMP.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_2010_0236_005_WS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/493/data_2010_0236_005_WS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-31",
      "references": [
        "https://doi.org/10.5194/acp-17-3001-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/493/documents/DataDictionary.zip",
        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Persistence of Initial Conditions in Continental Scale Air Quality Simulations",
      "description": "This dataset contains the data used in Figures 1 – 6 and Table 2 of the technical note \"Persistence of Initial Conditions in Continental Scale Air Quality Simulations\". \n\nThis dataset is associated with the following publication:\nHogrefe, C., S. Roselle, and J. Bash. Persistence of initial conditions in continental scale air quality simulations.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 160: 36-45, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-4mwd-521",
      "keyword": [
        "Initial conditions",
        "spin-up period",
        "soil concentrations",
        "inert tracers"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "data_HogrefeChristian_A-4mwd.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/521/data_HogrefeChristian_A-4mwd.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-31",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.04.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/521/documents/DataDictionary_HogrefeEtAl_A-4mwd.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Simulated Pathogen Concentrations in Locally-Collected Greywater and Wastewater",
      "description": "This dataset contains simulated pathogen concentrations in locally-collected greywater and wastewater.  Each .zip file includes 21 .csv files, each containing 10,000 years of simulated daily pathogen concentrations in the water type designated by the title (Combined Greywater, Laundry Greywater, Shower Greywater, Sink Greywater, or Onsite Wastewater).  Each .csv file corresponds to one pathogen (Ad Adenovirus, Ca Campylobacter, Cr Cryptosporidium, Gi Giardia, No Norovirus, Ro Rotavirus, or Sa Salmonella) for one population size (5-, 100-, or 1000-person).  For example, ConcAdCombGW100.csv contains concentrations (Conc) of Adenovirus (Ad) in combined greywater (CombGW) for a 100-person population size (100).  Data is structured as 365 rows (days) by 10,000 columns (years), with the first row and column containing year and day indices, respectively.  Units are # pathogens/L water. \n\nThis dataset is associated with the following publication:\nJahne, M., M. Schoen, J. Garland, and N. Ashbolt. Simulation of enteric pathogen concentrations in locally-collected greywater and wastewater for microbial risk assessments.   Microbial Risk Analysis. Elsevier B.V., Amsterdam,  NETHERLANDS, 5: 44-52, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-f1vv-196",
      "keyword": [
        "greywater",
        "wastewater",
        "decentralized systems",
        "water reuse",
        "waterborne pathogens",
        "microbial risk assessment",
        "non-potable",
        "potable",
        "log reduction target",
        "QMRA",
        "pathogens"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Simulated Pathogen Concentrations in Locally-Collected Greywater and Wastewater.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/196/Simulated%20Pathogen%20Concentrations%20in%20Locally-Collected%20Greywater%20and%20Wastewater.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-17",
      "references": [
        "https://doi.org/10.1016/j.mran.2016.11.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "None",
      "description": "This research effort is a publication summarizing the research needs identified at the Coordinating Research Council’s 2016 Air Quality Research Needs Workshop. As such it contains no scientific data set. This dataset is not publicly accessible because: Since this publication is a discussion and presentation of the top research needs identified at a scientific workshop, it does not present any scientific data - thus there are no data sets associated and none to include in ScienceHub. It can be accessed through the following means: Contact author for any clarifications. Format: There are no data sets associated with this publication. \n\nThis dataset is associated with the following publication:\nCollet, S., R. Guensler, M. Beardsley, R. Mathur, and S. Gao. Highlights from the Coordinating Research Council’s 2016 Air Quality Research Needs Workshop: Top 11 Research\r\nNeeds.   EM:  AIR AND WASTE MANAGEMENT ASSOCIATIONS MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, USA,  1-6, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-1c5d-588",
      "keyword": [
        "air quality",
        "modeling",
        "research needs"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [],
      "modified": "2016-07-05",
      "references": [
        "http://www.awma.org/publications/em-magazine/latest-issue"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating Aqueous-Phase Isoprene-Epoxydiol (IEPOX) Secondary Organic Aerosol Production During the 2013 Southern Oxidant and Aerosol Study (SOAS)",
      "description": "Dataset contains information displayed in figures 1-4 and abstract/table of contents figure. \n\nThis dataset is associated with the following publication:\nBudisulistiorini, S., A. Nenes, A. Carlton, J. Surratt, V.F. McNeill, and H. Pye. Simulating Aqueous-Phase Isoprene-Epoxydiol (IEPOX) Secondary Organic Aerosol Production During the 2013 Southern Oxidant and Aerosol Study (SOAS).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(9): 5026-5034, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-vmdj-576",
      "keyword": [
        "SOA",
        "SOAS",
        "Secondary Organic Aerosol",
        "isoprene",
        "Fine Particulate Matter",
        "particulate matter (PM)",
        "acidity",
        "sulfate",
        "organosulfate"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "IEPOXSOAmodel_paper_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/576/IEPOXSOAmodel_paper_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-01",
      "references": [
        "https://doi.org/10.1021/acs.est.6b05750"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ predicted concentration files",
      "description": "CMAQ predicted ozone. \n\nThis dataset is associated with the following publication:\nGantt, B., G. Sarwar, J. Xing, H. Simon, D. Schwede, B. Hutzell, R. Mathur, and A. Saiz-Lopez. The Impact of Iodide-Mediated Ozone Deposition and Halogen Chemistry on Surface Ozone Concentrations Across the Continental United States.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(3): 1458-1466, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-5x6j-655",
      "keyword": [
        "Halogen chemistry",
        "ozone concentrations",
        "CMAQ",
        "iodide",
        "ozone deposition",
        "marine boundary layer"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_BASELINE_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_BASELINE_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_CASE_B_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_CASE_B_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_CASE_C_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_CASE_C_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_CASE_D_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_CASE_D_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_CASE_E_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_CASE_E_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_REVISED_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/655/CMAQ_REVISED_O3_SURFACE_08_8HRMAX_AVG.nc.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-01",
      "references": [
        "https://doi.org/10.1021/acs.est.6b03556"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/655/documents/SrawarGolaml_A-5x6j_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental data of Se and B released from FGDG, soil and soil-FGDG mixture in EPA-Method 1314 and optimization of fate and transport model simulation results of Se and B leaching from FGDG in an agricultural field and a landfill.  ",
      "description": "The leachate concentrations of Se and B released from FGDG, soil and soil-FGDG mixture obtained from EPA-method 1314 is included in the data set. The non-equilibrium partitioning coefficients (NPC) calculated based on the experimental data also included along with the predicted NPC values calculated using a regression model based on a power function. Long term environmental release of Se and B in agricultural field and a landfill calculated using fate and transport model simulation also included in the data set. \n\nThis dataset is associated with the following publication:\nLittle, K., N. Koralegedara, C. Northeim, and S. Al-Abed. Decision Support for Environmental Management of Industrial Non-Hazardous Secondary Materials:  New Analytical Methods Combined with Simulation and Optimization Modeling.  R. Dewil; J.M. Evans; B. Tansel  JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 196: 137-147, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-8673-644",
      "keyword": [
        "Industrial non-hazardous secondary materials",
        "fate and transport model",
        "Beneficial uses",
        "Beneficial use decision support system"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "meta deta set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/644/meta%20deta%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-01",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2017.02.075"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/644/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "X-ray spectroscopy results for the pristine nanosilver solution and solution after undergoing the specific usage scenario ",
      "description": "The results demonstrate the Ag 3d5/2-3/2 spectrum of the pristine AgNPs. Furthermore, the XAS spectra from the analysis of the nanosilver solution (ASAP-AGX-32) after the disinfection process is demonstrated followed by the LCF results indicating the dominant species formed after the disinfection process. \n\nThis dataset is associated with the following publication:\nGitipour, A., S. Al-Abed, S. Thiel, K. Scheckel, and T. Tolaymat. Nanosilver as a disinfectant in dental unit waterlines: Assessment of the physiochemical transformations of the AgNPs.  Jacob de Boer and Shane Snyder  CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 173: 245-252, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-5mks-661",
      "keyword": [
        "X-ray Absorption Spectroscopy",
        "X-ray Photoelectron Spectroscopy",
        "Dental Unit Waterline",
        "Phase transformations"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Dental Unit manuscript Metadata data tables with data dictionary .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/661/Dental%20Unit%20manuscript%20Metadata%20data%20tables%20with%20data%20dictionary%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.01.050"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/661/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in the analysis presented in the manuscript \"Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States\"",
      "description": "Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations used in the analysis presented in the manuscript “Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States”. \n\nThis dataset is associated with the following publication:\nAstitha, M., H. Luo, S.T. Rao, C. Hogrefe, R. Mathur, and N. Kumar. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 164: 102-116, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-m90p-540",
      "keyword": [
        "model evaluation",
        "WRF-CMAQ",
        "spectral decomposition",
        "ozone trends",
        "ozone design value",
        "decadal simulations"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/540/sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-30",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.05.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/540/documents/HogrefeChristian_A-m90p_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Breeding bird survey data",
      "description": "The data are maintained by the USGS (https://www.pwrc.usgs.gov/bbs/RawData/)  and provides information on the trends and status of North American bird populations reported as a population abundance index. This dataset is not publicly accessible because: It is secondary data maintained by USGS. It can be accessed through the following means: https://www.pwrc.usgs.gov/bbs/RawData/). Format: Electronic text files. \n\nThis dataset is associated with the following publication:\nSundstrom, S., T. Eason, J. Nelson, D. Angeler, C. Barichievy, A. Garmestani, N. Graham, D. Granholm, L. Gunderson, M. Knutson, K. Nash, M. Nystrom, T. Spanbauer, C. Stow, and C. Allen. Detecting spatial regimes in ecosystems.   ECOLOGY LETTERS. Blackwell Publishing, Malden, MA, USA, 20(1): 19-32, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-wh7r-665",
      "keyword": [
        "breeding bird survey",
        "north america",
        "community structure",
        "USGS",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [],
      "modified": "2017-04-25",
      "references": [
        "https://doi.org/10.1111/ele.12709"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global annual surface air temperature change",
      "description": "The data are maintained by NASA (https://data.giss.nasa.gov/gistemp/)  and provides an estimate of global annual surface air temperature change expressed as temperature anomaly in degrees Celsius. This dataset is not publicly accessible because: It is secondary data. It can be accessed through the following means: The data are maintained by NASA (https://data.giss.nasa.gov/gistemp/). Format: The dataset is secondary data gathered from the NASA site (https://data.giss.nasa.gov/gistemp/) and can be downloaded in a variety of formats including *.txt and *.csv. \n\nThis dataset is associated with the following publication:\nAhmad, N., S. Derrible, T. Eason, and H. Cabezas. Using Fisher information to track stability in multivariate systems.   Royal Society Open Science. Royal Society Publishing, London,  UK,  01-08, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-wh7r-664",
      "keyword": [
        "global surface temperature change",
        "NASA",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-08",
      "references": [
        "https://doi.org/10.1098/rsos.160582"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeled population exposures to ozone",
      "description": "Population exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\\PRIV\\DIONISIO\\ACE118\\APEXFiles\\RCode\\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files). \n\nThis dataset is associated with the following publication:\nDionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 27(3): 260-270, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-1zcv-534",
      "keyword": [
        "criteria pollutants",
        "Exposure modeling",
        "personal exposure",
        "population-based studies",
        "exposure",
        "Ozone",
        "climate",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Kathie Dionisio",
        "hasEmail": "mailto:dionisio.kathie@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-17",
      "references": [
        "https://doi.org/10.1038/jes.2016.81"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/534/documents/READ%20ME_Dionisioetal_Dataset.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Combined Fish Data",
      "description": "The data set is abundance or presence/absence data collected by species from wadeable stream sites along with water chemistry, including specifically specific conductivity and some other variables that were not used in the analysis. \n\nThis dataset is associated with the following publication:\nGriffith, M., L. Zheng, and S. Cormier. Using extirpation to evaluate ionic tolerance of freshwater fish.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(3): 871-883, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1376690",
      "keyword": [
        "fish",
        "Specific Conductivity",
        "salinity",
        "sensitivity distribution",
        "freshwater."
      ],
      "contactPoint": {
        "fn": "Michael Griffith",
        "hasEmail": "mailto:griffith.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Combined_Less.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376690/Combined_Less.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fish Conductivity Column Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376690/Fish%20Conductivity%20Column%20Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-18",
      "references": [
        "https://doi.org/10.1002/etc.4022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1376690/documents/Fish%20Conductivity%20Column%20Metadata.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of the immunomodulatory effects of 2,3,3,3-tetrafluoro-2-(heptafluoropropoxy)-propanoate (“GenX”) in C57BL/6 mice",
      "description": "Raw data file outputs of serum and urine measurements of GenX in dosed rodents. \n\nThis dataset is associated with the following publication:\nRushing, B., Q. Hu, J. Franklin, R. McMahen, S. Dagnino, C. Higgins, M. Strynar, and J. DeWitt. Evaluation of the Immunomodulatory Effects of 2,3,3,3-tetrafluoro-2-(heptafluoropropoxy)-propanoate (“GenX”) in C57BL/6 Mice.   ENVIRONMENTAL TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 156(1): 179-189, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-9gj6-433",
      "keyword": [
        "GenX",
        "serum",
        "urine",
        "immunotoxicity",
        "per and polyfluorinated"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "9-6-13 Dweitt U2M3O hex 0 and 1 mg kg dosed.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/9-6-13%20Dweitt%20U2M3O%20hex%200%20and%201%20mg%20kg%20dosed.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "9-6-13 Dweitt U2M3O hex 10 and 100 mg kg no IS dosed.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/9-6-13%20Dweitt%20U2M3O%20hex%2010%20and%20100%20mg%20kg%20no%20IS%20dosed.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "9-6-13 Dweitt U2M3O hex 10 repeat  mg kg no IS dosed.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/9-6-13%20Dweitt%20U2M3O%20hex%2010%20repeat%20%20mg%20kg%20no%20IS%20dosed.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-15-14 Dewitt U2M3O-hexane dosed rodent urine.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/1-15-14%20Dewitt%20U2M3O-hexane%20dosed%20rodent%20urine.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-21-14 Dewitt high redo U2M3O-hexane dosed rodent urine.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/1-21-14%20Dewitt%20high%20redo%20U2M3O-hexane%20dosed%20rodent%20urine.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4-24-13 Dewitt dosed U2M3O-hexane male mice.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/4-24-13%20Dewitt%20dosed%20U2M3O-hexane%20male%20mice.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4-29-13 redo Dewitt U2MO3-hex high dosed male mice.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/4-29-13%20redo%20Dewitt%20U2MO3-hex%20high%20dosed%20male%20mice.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5-29-13 redo Dewitt male mouse U2M3O-hexane 0 and 1 mg_kg.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/5-29-13%20redo%20Dewitt%20male%20mouse%20U2M3O-hexane%200%20and%201%20mg_kg.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5-30-13 Dewitt U2M30-hex dosed male mouse serum 10 and 100 mg_kg and high repeats.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/5-30-13%20Dewitt%20U2M30-hex%20dosed%20male%20mouse%20serum%2010%20and%20100%20mg_kg%20and%20high%20repeats.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5-31-13 Dewitt dosed male mice U2M3O-hexane high rerun samples.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/5-31-13%20Dewitt%20dosed%20male%20mice%20U2M3O-hexane%20high%20rerun%20samples.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rushing et al_Raw Data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/433/Rushing%20et%20al_Raw%20Data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-13",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw251"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Advancing the Adverse Outcome Pathway Concept – An International ‘Horizon Scanning’ Approach ",
      "description": "Our ability to conduct whole organism toxicity tests to understand chemical safety has been outpaced by our ability to synthesize new chemicals for a wide variety of commercial applications.  Therefore, to increase efficiencies in chemical risk assessment, scientists and risk assessors are turning to mechanistic-based studies, making greater use of in vitro and in silico methods, to evaluate potential environmental and human health hazards.  A framework that has gained traction for capturing available knowledge describing the linkage between mechanistic data and the apical toxicity endpoints, required for regulatory assessments, is the adverse outcome pathway (AOP).  A number of international activities have focused on AOP development and plausible applications to regulatory decision-making.  These interactions have prompted dialog between research scientists and regulatory communities to consider how best to use the AOP framework in risk assessment.  While expert-facilitated discussions have been instrumental in moving the science of AOPs forward, it was recognized that a survey of the broader scientific community would aid in identifying current limitations while guiding future initiatives for the AOP framework.  To that end, a global ‘Horizon Scanning’ exercise was conducted to solicit questions concerning the challenges or limitations that must be addressed to realize the full potential of the AOP framework in research and regulatory decision making.  The majority of questions received fell into several broad topical areas including the concepts of AOP networks and quantitative AOPs, collaboration on and communication of AOP knowledge, AOP discovery and development, chemical and cross-species extrapolation, exposure considerations, and AOP applications.  An expert ranking exercise was then conducted to identify the most important questions for each category.  These questions were used to develop four broad themes to inform and guide future AOP research and regulatory initiatives.  In addition, frequently asked questions (FAQs) were identified and addressed by experts in the field.  Answers to FAQs will aid in framing further discussions about common misperceptions about AOPs and allow for clarification of AOP topics.  The need for clarification occurred with surprising frequency, indicating that improvements are needed in communicating the AOP framework among the scientific and regulatory communities.  Overall, the ‘Horizon Scanning’ effort brought together the global scientific community to guide the direction of future initiatives and identify key questions surrounding the AOP framework.  The views expressed in this manuscript are those of the authors and may not reflect U.S. EPA policy. This dataset is not publicly accessible because: It is available online and was collected through the Society of Environmental Toxicology and Chemistry in support of a Pellston Workshop. It can be accessed through the following means: All materials associated with this paper are found at the provided URL as the main document or as the supplemental files. Format: http://onlinelibrary.wiley.com/doi/10.1002/etc.3805/full. \n\nThis dataset is associated with the following publication:\nLaLone, C., G. Ankley, S. Belanger, M. Embry, G. Hodges, D. Knapen, S. Munn, E. Perkins, M. Rudd, D. Villeneuve, M. Whelan, C. Willett, X.  Zhang, and M. Hecker. Advancing the adverse outcome pathway framework - An international horizon scanning approach.   SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(6): 1411-1421, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-g4fj-514",
      "keyword": [
        "Horizon Scanning",
        "expert ranking",
        "global survey",
        "quantitiative",
        "network",
        "regulatory application",
        "communication and outreach",
        "adverse outcome pathway framework",
        "adverse outcome pathway",
        "ecotoxicology",
        "honey bee",
        "cross-species extrapolation",
        "screening and prioritization",
        "networks"
      ],
      "contactPoint": {
        "fn": "Carlie Lalone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-30",
      "references": [
        "https://doi.org/10.1002/etc.3805"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://onlinelibrary.wiley.com/doi/10.1002/etc.3805/full"
      },
      "accessRights": "public"
    },
    {
      "title": "Rainwater harvesting human health and environmental impact assessment and sustainability analysis",
      "description": "LCA/LCCA/LCIA data used to create figures and tables in the papers. \n\nThis dataset is associated with the following publications:\nGhimire, S., and J. Johnston. Holistic impact assessment and cost savings of rainwater harvesting at the watershed scale.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 5(9): 1-17, (2017).\nGhimire, S., and J. Johnston. A modified eco-efficiency framework and methodology for advancing the state of practice of sustainability analysis as applied to green infrastructure.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 13(5): 821-831, (2017).\nGhimire, S., J. Johnston, W. Ingwersen, and S. Sojka. Life cycle assessment of a commercial rainwater harvesting system compared with a municipal water supply system.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 151: 74–86, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-fttt-543",
      "keyword": [
        "agricultural and domestic rainwater harvesting systems",
        "sustainability analysis",
        "data envelopment analysis",
        "eco-efficiency analysis",
        "Commercial rainwater harvesting",
        "Municipal water supply",
        "life cycle assessment",
        "life cycle impact assessment method",
        "life cycle costing",
        "holistic analysis",
        "watershed scale",
        "Energy intensity"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "RWH PAPERS DATA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/543/RWH%20PAPERS%20DATA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-27",
      "references": [
        "https://doi.org/10.1525/elementa.135",
        "https://doi.org/10.1002/ieam.1928",
        "https://doi.org/10.1016/j.jclepro.2017.02.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/543/documents/SOP%20LCA%20Projects%20Involving%20Data%20Collection%2020Jan2015.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Results of chemical analysis from the 2008-2009 National Rivers and Streams Assessment Survey, including persistent organic pollutants and pharmaceuticals",
      "description": "In 2008-2009, fish are were collected from approximately 560 national streams, which included a representative subset of 154 urban river sites, which were in close proximity to urban areas. Site selection included a mix of statistically-selected and targeted sites. ORD/NERL analyzed fish fillets from the 560 stream sampling sites for 22 pesticides, 21 congeners of PCBs, and 8 congeners of PBDEs. Surface water was collected at the 154 urban river sites, and was analyzed for concentrations of almost 50 human prescription pharmaceuticals. Two data files are included, and report the full findings of the chemical analysis in each individual fish or water sample site for each chemical. \n\nThis dataset is associated with the following publications:\nBatt , A., T. Kincaid , M. Kostich , J. Lazorchak , and T. Olsen. Evaluating the extent of pharmaceuticals in surface waters of the United States using a national scale rivers and streams assessment survey.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(4): 874-881, (2016).\nBatt, A., J. Wathen, J. Lazorchak, T. Olsen, and T. Kincaid. Statistical Survey of Persistent Organic Pollutants: Risk Estimations to Humans and Wildlife through Consumption of Fish from U.S. Rivers.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(5): 3021-3031, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-q57n-156",
      "keyword": [
        "fish",
        "brominated flame retardant",
        "water quality",
        "pestcides",
        "PCBs",
        "pharmaceuticals",
        "fish tissue"
      ],
      "contactPoint": {
        "fn": "Angela Batt",
        "hasEmail": "mailto:batt.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA0809-POPs-fishtissue.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/156/NRSA0809-POPs-fishtissue.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA0809-Pharmaceuticals-surfacewater.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/156/NRSA0809-Pharmaceuticals-surfacewater.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-03",
      "references": [
        "https://doi.org/10.1002/etc.3161",
        "https://doi.org/10.1021/acs.est.6b05162"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatiotemporal modeling of WNV in mosquitoes in Suffolk County",
      "description": "R code and dataset to produce spatial models. \n\nThis dataset is associated with the following publication:\nMeyer, M., S. Campbell, and J. Johnston. Spatiotemporal modeling of ecological and sociological predictors of West Nile virus in Suffolk County, NY, mosquitoes.   Ecosphere. ESA Journals,    8(6): e01854, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-0001-600",
      "keyword": [
        "Bayesian",
        "West Nile",
        "INLA",
        "SPDE",
        "Culex pipiens",
        "spatial modeling",
        "disease ecology",
        "Long Island",
        "septic systems"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "Ecosphere data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/600/Ecosphere%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-09",
      "references": [
        "https://doi.org/10.1002/ecs2.1854"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/600/documents/DataDictionary_WNVPaper.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "The average concentrations of As, Cd, Cr, Hg, Ni and Pb in residential soil and drinking water obtained from springs and wells in Rosia Montana area. ",
      "description": "The average concentrations of As, Cd, Cr, Hg, Ni and Pb in n=84 residential soil samples, in Rosia Montana area, analyzed by X-ray fluorescence spectrometry are given along with the standard deviations. The metal concentrations of mine pit soil (n=7) provided by Rosia Montana Gold Corporation are also given. The data are compared with the Romanian regulatory exposure levels (Alert threshold (AT) and Intervention threshold (IT)) for residential soil.\r\nThe average concentrations of As, Cd, Cr, Hg, Ni and Pb in n=10 drinking water samples collected from springs and wells in Rosia Montana area, analyzed by atomic absorption spectrometry with hydride generation (for As), graphite furnace (for Pb, Cd, Cr, Ni), cold vapors hydride generation (for Hg) are given along with the standard deviations. The secondary data of metal concentrations of the stream waters in Rosia Montana area from 2005-2008, obtained from Rosia Montana Gold Corporation (RMGC) Environmental Impact Assessment Study - water Baseline report, 2007 and  Rosia Montana Gold Corporation (RMGC) Environmental Impact Assessment Study - Surface water quality, 2007 are also available. The Romanian regulatory exposure levels for metals in drinking water are given for comparison purposes. \r\nThe distribution of metal concentrations in residential soils around the Rosia Montana area are given along with the distances from the mine pit. \n\nThis dataset is associated with the following publication:\nNeamtiu, I., S. Al-Abed, J. McKernan, C. Baciu, E. Gurzau, A. Pogacean, and S. Bessler. Metals contamination in environmental media in residential areas around Romanian mining sites.  David O. Carpenter, and Peter Sly  REVIEWS ON ENVIRONMENTAL HEALTH. Freund Publishing House Limited, Tel Aviv,  ISRAEL, 31(4): 1-6, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-wsvg-681",
      "keyword": [
        "metal contamination",
        "mining",
        "contaminated water",
        "contaminated soil"
      ],
      "contactPoint": {
        "fn": "John McKernan",
        "hasEmail": "mailto:mckernan.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/681/Meta%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-07",
      "references": [
        "https://doi.org/10.1515/reveh-2016-0033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/681/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Rainbow trout estrogen receptor (ER) competitive bindng and vitellogenin induction agonism/antagonism data for 94 chemicals",
      "description": "This dataset is from screening 94 diverse chemicals for estrogen receptor (ER) activation in a competitive rainbow trout ER binding assay and a trout liver slice vitellogenin mRNA expression assay. \n\nThis dataset is associated with the following publication:\nHornung, M., M. Tapper, J. Denny, B. Sheedy, R. Erickson, T. Sulerud, R. Kolanczyk, and P. Schmieder. Avoiding false positives and optimizing identification of true negatives in estrogen receptor binding and agonist/antagonist assays.   Applied In vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 3(2): 163-181, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-8czj-472",
      "keyword": [
        "rainbow trout",
        "antagonist",
        "estrogen receptor",
        "in vitro",
        "competitive binding",
        "vitellogenin"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Trout_ER_Antagonism_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/472/Trout_ER_Antagonism_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-11",
      "references": [
        "https://doi.org/10.1089/aivt.2016.0021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data sets used in the analysis presented in the manuscript “Regional and Hemispheric Influences on Temporal Variability in Baseline Carbon Monoxide and Ozone over the Northeast US”",
      "description": "This dataset documents that all of the data analyzed in the manuscript \"Regional and Hemispheric Influences on Temporal Variability in Baseline Carbon Monoxide and Ozone over the Northeast US \" led by doctoral candidate Ms. Ying Zhou of the College of Environmental Science and Forestry at the State University of New York at Syracuse were contributed by non-EPA research groups and entities. \n\nThis dataset is associated with the following publication:\nZhou, Y., H. Mao, K. Demerjian , C. Hogrefe , and J.L. Liu. Regional and hemispheric influences on temporal variability in baseline carbon monoxide and ozone over the Northeast US.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 164: 309-324, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1364176",
      "keyword": [
        "Baseline CO",
        "baseline O3",
        "Temporal Variability",
        "Northeast U.S.",
        "emission",
        "Meteorology"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "ZhouEtAl_DataStatement.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364176/ZhouEtAl_DataStatement.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-15",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.06.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Decontamination of B. globigii spores from drinking water infrastructure using disinfectants",
      "description": "Decontamination of Bacillus spores adhered to common drinking water infrastructure surfaces was evaluated using a variety of disinfectants.  Corroded iron and cement-mortar lined iron represented the infrastructure surfaces, and were conditioned in a 23 m long, 15 cm diameter (75 ft long, 6 in diameter) pilot-scale drinking water distribution pipe system.  Decontamination was evaluated using increased water velocity (flushing) alone at 0.5 m sec-1 (1.7 ft sec-1), as well as free chlorine (5 and 25 mg L-1), monochloramine (25 mg L-1), chlorine dioxide (5 and 25 mg L-1), ozone (2.0 mg L-1), peracetic acid 25 mg L-1) and acidified nitrite (0.1 mol L-1 at pH 2 and 3), all followed by flushing at 0.3 m sec-1 (1 ft sec-1).  Flushing alone reduced the adhered spores by 0.5 and 2.0 log10 from iron and cement-mortar, respectively.   Log10 reduction on corroded iron pipe wall coupons ranged from 1.0 to 2.9 at respective chlorine dioxide concentrations of 5 and 25 mg L-1, although spores were undetectable on the iron surface during disinfection at 25 mg L-1.  Acidified nitrite (pH 2, 0.1 mol L-1) yielded no detectable spores on the iron surface during the flushing phase after disinfection. Chlorine dioxide was the best performing disinfectant with >3.0 log10 removal from cement-mortar at 5 and 25 mg L-1.The data show that free chlorine, monochloramine, ozone and chlorine dioxide followed by flushing can reduce adhered spores by >3.0 log10 on cement-mortar. \n\nThis dataset is associated with the following publication:\nSzabo , J., G. Meiners, L. Heckman, G. Rice , and J. Hall. Decontamination of Bacillus spores adhered to iron and cement-mortar drinking water infrastructure in a model system using disinfectants.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 187: 1-7, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "A-g79s-453",
      "keyword": [
        "bacillus atrophaeus",
        "Bacillus anthracis",
        "Decontamination",
        "drinking water",
        "infrastructure",
        "free chlorine",
        "monochloramine",
        "chlorine dioixde",
        "Ozone",
        "acidified nitrite",
        "peracetic acid",
        "flushing",
        "iron",
        "cement-mortar",
        "water pipes",
        "bacterial spores"
      ],
      "contactPoint": {
        "fn": "Jeffrey Szabo",
        "hasEmail": "mailto:szabo.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Disinfection Loop Data Analysis 11252016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/453/Disinfection%20Loop%20Data%20Analysis%2011252016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-25",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2016.11.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataforfigures_NEWSMRB-DIN",
      "description": "These are the values plotted in the manuscript and supplemental information sections. \n\nThis dataset is associated with the following publication:\nMcCrackin, M., E. Cooter, R. Dennis, J. Harrison, and J. Compton. Alternative futures of dissolved inorganic nitrogen export from the Mississippi River Basin: influence of crop management, atmospheric deposition, and population growth.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 133(3): 263-377, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1364132",
      "keyword": [
        "dissolved inorganic nitrogen",
        "Mississippi River Basin",
        "tile drain",
        "atmospheric deposition",
        "sewage",
        "fertilizer",
        "model coastal zone"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataforfigures_NEWSMRB-DIN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364132/Dataforfigures_NEWSMRB-DIN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-19",
      "references": [
        "https://doi.org/10.1007/s10533-017-0331-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FigS7.txt",
      "description": "This is an ascii file with georeferencing information containing the data plotted in Figure S7 of the supplemental information manuscript section. \n\nThis dataset is associated with the following publication:\nMcCrackin, M., E. Cooter, R. Dennis, J. Harrison, and J. Compton. Alternative futures of dissolved inorganic nitrogen export from the Mississippi River Basin: influence of crop management, atmospheric deposition, and population growth.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 133(3): 263-377, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1364743",
      "keyword": [
        "agricultural land cover",
        "dissolved inorganic nitrogen",
        "Mississippi River Basin",
        "tile drain",
        "atmospheric deposition",
        "sewage",
        "fertilizer",
        "model coastal zone"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "FigS7.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364743/FigS7.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-22",
      "references": [
        "https://doi.org/10.1007/s10533-017-0331-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FigS8.txt",
      "description": "This is an ASCII file with georeferencing information containing data plotted in Figure S8 of the supplemental information section of the manuscript. \n\nThis dataset is associated with the following publication:\nMcCrackin, M., E. Cooter, R. Dennis, J. Harrison, and J. Compton. Alternative futures of dissolved inorganic nitrogen export from the Mississippi River Basin: influence of crop management, atmospheric deposition, and population growth.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 133(3): 263-377, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1364744",
      "keyword": [
        "tile drainage area",
        "dissolved inorganic nitrogen",
        "Mississippi River Basin",
        "tile drain",
        "atmospheric deposition",
        "sewage",
        "fertilizer",
        "model coastal zone"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "FigS8.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364744/FigS8.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-22",
      "references": [
        "https://doi.org/10.1007/s10533-017-0331-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity of Oil Burn Emissions",
      "description": "Description included in the dataset. \n\nThis dataset is associated with the following publication:\nDeMarini, D., S. Warren, K. Lavrich, A. Flen, J. Aurell, B. Mitchell, D. Greenwell, B. Preston, J. Schmid, B. Linak, M. Hays, J. Samet, and B. Gullett. Mutagenicity and Oxidative Damage Induced by an Organic Extract of the Particulate Emissions from a Simulation of the Deepwater Horizon Surface Oil Burns.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 58(3): 162-171, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-v429-444",
      "keyword": [
        "oil burn emissions",
        "Mutagenicity",
        "Salmonella",
        "oil burn",
        "polycyclic aromatic hydrocarbons",
        "oxidative damage",
        "emission factor"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Data Set for BP Oil Burn.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/444/Science%20Hub%20Data%20Set%20for%20BP%20Oil%20Burn.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-01",
      "references": [
        "https://doi.org/10.1002/em.22085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Application of a Highly Purified Rat Leydig Cell Assay as a Complement to the H295R Steroidogenesis Assay for the Evaluation of Toxicant Induced Alterations in Testosterone Production",
      "description": "The greater dynamic range of testosterone production in a highly purified rat Leydig cell assay permitted the detection of chemical induced inhibition that was not detected by the high throughput screening format of the H295R steroidogenesis assay. This dataset is associated with the following publication:\nKlinefelter , G., J. Laskey, and R. Amann. Statin Drugs Markedly Inhibit Testosterone Production by Rat Leydig Cells In Vitro: Implications for Men.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 45: 52-58, (2014). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1367522",
      "keyword": [
        "Leydig cells",
        "testosterone",
        "testis",
        "cell culture",
        "Endocrine Disruptors",
        "gonadal steroids",
        "male infertility",
        "steroidogenesis",
        "Leydig cell assay",
        "2nd Tier screen"
      ],
      "contactPoint": {
        "fn": "Gary Klinefelter",
        "hasEmail": "mailto:klinefelter.gary@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-16",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Annual variations and effects of temperature on Legionella spp. and other potential opportunistic pathogens in tap and shower water",
      "description": "The data contained in this worksheet provides the quantitative detection of potential pathogens for the bathroom water samples used in this study. \n\nThis dataset is associated with the following publication:\nLu, J., H. Buse, I. Struewing, A. Zhao, D. Lytle, and N. Ashbolt. Annual variations and effects of temperature on Legionella spp. and other potential opportunistic pathogens in tap and shower water.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 24(0): 2326-2336, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1366969",
      "keyword": [
        "bath tap water",
        "opportunistic pathogen",
        "legionella",
        "qPCR",
        "shower water",
        "tapwater"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "DataSet_LegionellaBathroom ESPR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1366969/DataSet_LegionellaBathroom%20ESPR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-19",
      "references": [
        "https://doi.org/10.1007/s11356-016-7921-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Monochloramine Cometabolism by Mixed-Culture Nitrifiers under Drinking Water Conditions",
      "description": "Data for Figures in manuscript. \n\nThis dataset is associated with the following publication:\nMaestre, J., D. Wahman , and G. Speitel. Monochloramine Cometabolism by Mixed-Culture Nitrifiers under Drinking Water Conditions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(12): 6240-6248, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1365718",
      "keyword": [
        "nitrification",
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Monochloramine Cometabolism by Mixed-Culture Nitrifiers under Drinking Water Conditions.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1365718/Monochloramine%20Cometabolism%20by%20Mixed-Culture%20Nitrifiers%20under%20Drinking%20Water%20Conditions.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-10",
      "references": [
        "https://doi.org/10.1021/acs.est.5b05641"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Monochloramine Cometabolism by Nitrifying Biofilm Relevant to Drinking Water",
      "description": "Data for Figures in manuscript. \n\nThis dataset is associated with the following publication:\nWahman , D., J. Maestre, and G. Speitel Jr.. Monochloramine Cometabolism by Nitrifying Biofilm Relevant to Drinking Water.   JOURNAL OF AMERICAN WATER WORKS ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 108(7): 362-373, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1365719",
      "keyword": [
        "nitrification",
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Monochloramine Cometabolism by Nitrifying Biofilm Relevant to Drinking Water.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1365719/Monochloramine%20Cometabolism%20by%20Nitrifying%20Biofilm%20Relevant%20to%20Drinking%20Water.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-03-09",
      "references": [
        "http://www.awwa.org/publications/journal-awwa/abstract/articleid/58233023.aspx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse outcome pathway (AOP) development and weight of evidence evaluation as illustrated by ecological case studies using online tools such as ECOTOX and SeqAPASS",
      "description": "The majority of this dataset includes the query output from online databases ECOTOX and SeqAPASS used to support the ecological AOP case studies described within the manuscript.  The final worksheet includes the raw data used to generate concentration vs response curves for four putative chemical initiators (Supplemental Figure S4). \n\nThis dataset is associated with the following publication:\nFay, K., D. Villeneuve, C. LaLone, Y. Song, K.E. Tollefsen, and G. Ankley. Practical approaches to adverse outcome pathway (AOP) development as illustrated by ecological case studies.   SOCIETY OF ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY JOURNAL. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(6): 1429–1449, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-ghxh-429",
      "keyword": [
        "adverse outcome pathway",
        "weight of evidence",
        "ecotoxicology",
        "case studies",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Kellie Fay",
        "hasEmail": "mailto:fay.kellie@epa.gov"
      },
      "distribution": [
        {
          "title": "AOP development_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/429/AOP%20development_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-03",
      "references": [
        "https://doi.org/10.1002/etc.3770"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Weight of evidence evaluation of a network of adverse outcome pathways linking activaiton of the nicotinic acetylcholine receptor in honey bees to colony death",
      "description": "Ongoing honey bee colony losses are of significant international concern because of the essential role these insects play in pollinating many high nutrient crops, such as fruits, vegetables, and nuts.  Both chemical and non-chemical stressors have been implicated as possible contributors to colony failure; however, the potential role(s) of commonly-used neonicotinoid insecticides has emerged as particularly concerning. Neonicotinoids act on the nicotinic acetylcholine receptors (nAChRs) in the central nervous system to eliminate target pest insects. However, mounting evidence indicates that these neonicotinoids also may adversely affect beneficial pollinators, such as the honey bee (Apis mellifera), via impairments on learning and memory, and ultimately foraging success. The specific mechanisms linking activation of the nAChR to adverse effects on learning and memory are uncertain. Additionally, clear connections between observed impacts on individual bees and colony level effects are lacking. The objective of this review was to develop adverse outcome pathways (AOPs) as a means to evaluate the biological plausibility and empirical evidence supporting (or refuting) the linkage between activation of the physiological target site, the nAChR, and colony level consequences. Development of AOPs has led to the identification of research gaps which, for example, may be of high priority in understanding how perturbation of pathways involved in neurotransmission can adversely affect normal colony functions, causing colony instability and subsequent bee population failure. A putative AOP network was developed, laying the foundation for further insights as to the role of combined chemical and non-chemical stressors in impacting bee populations. Insights gained from the putative AOP network assembly, which more realistically represents multi-stressor impacts on honey bee colonies, are promising toward understanding common sensitive nodes in key biological pathways and identifying where mitigation strategies may be focused to reduce colony losses. This dataset is not publicly accessible because: No data, literature review only. It can be accessed through the following means: N/A. Format: N/A. \n\nThis dataset is associated with the following publication:\nLaLone, C., D. Villeneuve, J. Wu-Smart, R. Milsk, K. Sappington, K. Garber, J. Housenger, and G. Ankley. Weight of evidence evaluation of a network of adverse outcome pathways linking activation of the nicotinic acetylcholine receptor in honey bees to colony death.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 584: 751–775, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-g4fj-513",
      "keyword": [
        "Adverse outcome pathway network",
        "neonicotinoids",
        "bees",
        "; multiple stressors",
        "weight of evidence",
        "adverse outcome pathway",
        "ecotoxicology",
        "honey bee",
        "cross-species extrapolation",
        "screening and prioritization",
        "networks"
      ],
      "contactPoint": {
        "fn": "Carlie Lalone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [],
      "modified": "2017-02-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.01.113"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NWCA 2011 Soil Chemistry - Data",
      "description": "NWCA 2011 Soil Chemistry Data. \n\nThis dataset is associated with the following publication:\nNahlik, A., and M.S. Fennessy. Carbon storage in US wetlands.   Nature Communications. Nature Publishing Group, London,  UK, 7: 1-9, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1367565",
      "keyword": [
        "soil data",
        "carbon",
        "wetlands",
        "National Wetland Condition Assessment",
        "National Aquatic Resource Surveys",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Amanda Nahlik",
        "hasEmail": "mailto:nahlik.amanda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-01",
      "references": [
        "https://doi.org/10.1038/ncomms13835"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical concentrations, exposures, health risks by census tract from National Scale Air Toxics Assessment (NATA)",
      "description": "Chemical concentrations, exposures, health risks by census tract for the United States from National Scale Air Toxics Assessment (NATA). \n\nThis dataset is associated with the following publication:\nHuang, H., and T. Barzyk. Connecting the Dots: Linking Environmental Justice Indicators to Daily Dose Model Estimates.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 14(1): 1-15, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-dz0p-627",
      "keyword": [
        "average daily dose",
        "cumulative risk assessment",
        "Susceptibility",
        "Vulnerability"
      ],
      "contactPoint": {
        "fn": "Timothy Barzyk",
        "hasEmail": "mailto:barzyk.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "ADD Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/627/ADD%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-16",
      "references": [
        "https://doi.org/10.3390/ijerph14010024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/627/documents/Data%20dictionary%20for%20ADD%20dataset.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Field-based methods for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates",
      "description": "Data includes chemical and biological samples from Ecoregion 69 in West Virginia. eco69_dupchem.csv:  1. Station-year with at least 6 conductivity samples, one in the spring and one in the summer. bio.sample69.csv: Final Criteria dataset for ecoregion 69 by excluding: 1. Non-biology samples, 2. Removed no-conductivity record; 4. removed pH <=6 samples; 5. removed high Cl sites (SO4+HCO3 < CL).  ss.csv: Source:WVDEP Crosstabed genus X sample matrix for Ecoregion 69 and 70. 1. Remove ambiguous taxa; 2. Remove non-reference taxa in these two ecoregions in WV data set. \n\nThis dataset is associated with the following publication:\nCormier, S., C. Flaherty, and L. Zheng. Field-based method for evaluating the annual maximum specific conductivity tolerated by freshwater invertebrates.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 633: 1637-1646, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371704",
      "keyword": [
        "benthic macroinvertebrate",
        "conductivity",
        "criterion maximum"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "CMEC Data sets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371704/CMEC%20Data%20sets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.01.136",
        "https://pasteur.epa.gov/uploads/10.23719/1371704/documents/Cond_DataFileColumnMetadata_20161221.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1371704/documents/Cond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set for: Step-by-Step Calculation and Spreadsheet Tools for Predicting Stressor Levels that Extirpate Genera and Species",
      "description": "The data includes measured data from Ecoregions 69 and 70 in West Virginia.  Paired biological and chemical grab samples are included.  These data were used to estimate SC extirpation concentration  (XC95) for benthic invertebrate genera.  Also included are cumulative frequency distribution plots, scatter plots fitted with generalized additive models, and biogeographical maps of observations of each genus.\nThe metadata and full data set is available in Supplemental Appendices S4 and S5, respectively. The output of 176 XC95 values from Ecoregions 69 and 70 are provided in Supplemental Appendix S6. Supplemental Appendix S7 depicts the probability of observing a genus for discrete ranges of SC. Supplemental Appendix S8 depicts the proportion of occurrence of a genus for discrete ranges of SC. Supplemental Appendix S9 shows the biogeographic distributions of the genera included in the data set. We also discuss limitations of this method to help avoid misinterpretations and inferential errors.  A data dictionary is provided in Cond_DataFileColumnMetada-20161221. \n\nThis dataset is associated with the following publication:\nCormier, S., L. Zheng, E. Leppo, and A. Hamilton. Step-by-Step Calculation and Spreadsheet Tools for Predicting Stressor Levels that Extirpate Genera and Species.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 14(2): 174-180, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371705",
      "keyword": [
        "dissolved minerals",
        "conductivity",
        "Extirpation",
        "Excel tool"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix_S4-BEAT Metadata_69-70 20170112.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S4-BEAT%20Metadata_69-70%2020170112.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cond_DataFileColumnMetadata_20161221.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Cond_DataFileColumnMetadata_20161221.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix_S5-BEAT Data_69-70 20170112.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S5-BEAT%20Data_69-70%2020170112.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2016-12/field-based-conductivity-field-data-sets.zip",
          "accessURL": "https://www.epa.gov/sites/production/files/2016-12/field-based-conductivity-field-data-sets.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix_S6-BEAT XC95values_69-70 20170112.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S6-BEAT%20XC95values_69-70%2020170112.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix_S7-BEAT GAMplots_69-70 20170112.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S7-BEAT%20GAMplots_69-70%2020170112.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix_S8-BEAT CFDplots_69-70 20170112.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S8-BEAT%20CFDplots_69-70%2020170112.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix_S9-BEAT Biogeographic_maps_69-70 20170112.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/Appendix_S9-BEAT%20Biogeographic_maps_69-70%2020170112.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-12",
      "references": [
        "https://doi.org/10.1002/ieam.1993"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1371705/documents/Cond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Phthalate Intakes",
      "description": "Compilation of literature-reported intake values of phthalates; specifically dibutyl phthalate (DBP), bis(2-ethylhexyl) phthalate, and diisononyl phthalate (DiNP). \n\nThis dataset is associated with the following publication:\nMoreau, M., J. Leonard, K. Phillips, J. Campbell, S. Pendse, C. Nicolas, M. Phillips, M. Yoon, C. Tan, S. Smith, H. Pudukodu, K. Isaacs, and H. Clewell. Using exposure prediction tools to link exposure and dosimetry for risk-based decisions: A case study with phthalates.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 184: 1194-1201, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1365652",
      "keyword": [
        "phthalate intakes",
        "Phthalates",
        "PBPK-reverse dosimetry"
      ],
      "contactPoint": {
        "fn": "Yu-Mei Tan",
        "hasEmail": "mailto:tan.cecilia@epa.gov"
      },
      "distribution": [
        {
          "title": "phthalate_intakes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1365652/phthalate_intakes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-09",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.06.098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phthalate SHEDS-HT runs",
      "description": "Inputs and outputs for SHEDS-HT runs of DiNP, DEHP, DBP. \n\nThis dataset is associated with the following publication:\nMoreau, M., J. Leonard, K. Phillips, J. Campbell, S. Pendse, C. Nicolas, M. Phillips, M. Yoon, C. Tan, S. Smith, H. Pudukodu, K. Isaacs, and H. Clewell. Using exposure prediction tools to link exposure and dosimetry for risk-based decisions: A case study with phthalates.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 184: 1194-1201, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1365653",
      "keyword": [
        "SHEDS-HT",
        "Phthalates",
        "PBPK-reverse dosimetry"
      ],
      "contactPoint": {
        "fn": "Yu-Mei Tan",
        "hasEmail": "mailto:tan.cecilia@epa.gov"
      },
      "distribution": [
        {
          "title": "shedsht_phthalate_runs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1365653/shedsht_phthalate_runs.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-08",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.06.098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1365653/documents/SHEDSHT_TechManual_100116_input_and_output_files.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Soil processing method journal article supporting data",
      "description": "This study aimed to optimize a previously used indirect processing protocol, which included a series of washing and centrifugation steps. Optimization of the protocol included: identifying an ideal extraction diluent and evaluating variation in the number of wash steps, variation in the initial centrifugation speed, sonication and shaking mechanisms. The optimized protocol was demonstrated at two laboratories in order to evaluate the recovery of spores from loamy and sandy soils. Data supplied are statistical data and were used to help support conclusions and tables in the journal article. \n\nThis dataset is associated with the following publication:\nSilvestri, E., D. Feldhake, D. Griffin, J. Lisle, T. Nichols, S. Shah, A. Pemberton, and F. Schaefer. Optimization of a Sample Processing Protocol for Recovery of Bacillus anthracis Spores from Soil  [HS7.52.02 - 514].   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 130: 6-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-08kq-184",
      "keyword": [
        "Bacillus anthracis",
        "spores",
        "sand",
        "loam",
        "soil",
        "indirect processing"
      ],
      "contactPoint": {
        "fn": "Erin Silvestri",
        "hasEmail": "mailto:silvestri.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 1_Bacillus anthracis Sterne Spore Recoveries_metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Table%201_Bacillus%20anthracis%20Sterne%20Spore%20Recoveries_metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2_Average Spore Recovery for Mechanical Shaking versus Manual_metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Table%202_Average%20Spore%20Recovery%20for%20Mechanical%20Shaking%20versus%20Manual_metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANNOVA comparison tables sandy and loamy soils.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/ANNOVA%20comparison%20tables%20sandy%20and%20loamy%20soils.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Laboratory Comparison Data 121815.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Laboratory%20Comparison%20Data%20121815.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Percent Recovery Efficiency data with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Percent%20Recovery%20Efficiency%20data%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Descriptive Statistics for raw and log10 data with data dictionary 121815.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Descriptive%20Statistics%20for%20raw%20and%20log10%20data%20with%20data%20dictionary%20121815.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Back Log10 Transformed  and geometic means Summary Stats LV  SV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/184/Data%20Back%20Log10%20Transformed%20%20and%20geometic%20means%20Summary%20Stats%20LV%20%20SV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-15",
      "references": [
        "https://doi.org/10.1016/j.mimet.2016.08.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Strontium removal jar test dataset for all figures and tables.",
      "description": "The datasets where used to generate data to demonstrate strontium removal under various water quality and treatment conditions. \n\nThis dataset is associated with the following publication:\nO'Donnell, A.J., D. Lytle , S. Harmon , K. Vu, H. Chait, and D.D. Dionysiou. Removal of Strontium from Drinking Water by Conventional Treatment and Lime Softening.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 103: 319-333, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371540",
      "keyword": [
        "Strontium",
        "drinking water",
        "coagulation",
        "Lime softening",
        "Jar Test"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Sr pilot paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371540/Sr%20pilot%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-20",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.06.036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soot, organics, and ultrafine ash from air- and oxy-fired coal combustion",
      "description": "Pulverized bituminous coal was burned in a 10W externally heated entrained flow furnace under air-combustion and three oxy-combustion inlet oxygen conditions (28, 32, and 36%).  Experiments were designed to produce flames with practically relevant stoichiometric ratios (SR=1.2-1.4) and constant residence times (2.3s).  Size-classified fly ash samples were collected, and measurements focused on the soot, elemental carbon (EC), and organic carbon (OC) composition of the total and ultrafine (<0.6µm) fly ash.  Results indicate that although the total fly ash carbon, as measured by loss on ignition, was always acceptably low (<2%) with all three oxy-combustion conditions lower than air-combustion, the ultrafine fly ash for both air-fired and oxy-fired combustion conditions consists primarily of carbonaceous material (50-95%).  Carbonaceous components on particles <0.6µm measured by a thermal optical method showed that large fractions (52-93%) consisted of OC rather than EC, as expected.  This observation was supported by thermogravimetric analysis indicating that for the air, 28% oxy, and 32% oxy conditions, 14-71% of this material may be OC volatilizing between 100 and 550°C with the remaining 29-86% being EC/soot.  However, for the 36% oxy condition, OC may comprise over 90% of the ultrafine carbon with a much smaller EC/soot contribution.  These data were interpreted by considering the effects of oxy-combustion on flame attachment, ignition delay, and soot oxidation of a bituminous coal, and the effects of these processes on OC and EC emissions.  Flame aerodynamics and inlet oxidant composition may influence emissions of organic hazardous air pollutants (HAPs) from a bituminous coal.   During oxy-coal combustion, judicious control of inlet oxygen concentration and placement may be used to minimize organic HAP and soot emissions. \n\nThis dataset is associated with the following publication:\nAndersen, M., N. Modak, C. Winterrowd, C.W. Lee , W. Roberts, J. Wendt, and B. Linak. Soot, organics and ultrafine ash from air- and oxy-fired coal combustion.   Proceedings of the Combustion Institute. Elsevier B.V., Amsterdam,  NETHERLANDS, 36(3): 4029-4037, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1372478",
      "keyword": [
        "oxy-coal combustion",
        "ultrafine fly ash",
        "loss on ignition",
        "elemental carbon",
        "organic carbon"
      ],
      "contactPoint": {
        "fn": "William Linak",
        "hasEmail": "mailto:linak.bill@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 1 of 4.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Table%201%20of%204.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 of 4.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Table%202%20of%204.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3 of 4.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Table%203%20of%204.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 4 of 4.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Table%204%20of%204.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 1 of 3.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Fig%201%20of%203.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 2rev.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Fig%202rev.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 3_20160509_Possible_Edits.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/Fig%203_20160509_Possible_Edits.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-25",
      "references": [
        "https://doi.org/10.1016/j.proci.2016.08.073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1372478/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Polycyclic aromatic hydrocarbon in fine particulate matter emitted from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves",
      "description": "This dataset includes all data in figures in the manuscript and supporting information for the publication entitled \"Particulate polycyclic aromatic hydrocarbon emissions from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves.\". \n\nThis dataset is associated with the following publication:\nShen, G., W. Preston, S. Ebersviller, C. Williams, J. Faircloth, J. Jetter, and M. Hays. Particulate polycyclic aromatic hydrocarbon emissions from burning kerosene, liquid petroleum gas, and wood fuels in household cookstoves.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 31(3): 3081-3090, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1372312",
      "keyword": [
        "particulate matter",
        "cookstove",
        "PAH",
        "emissions",
        "stove",
        "emission",
        "efficiency"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Data in PAH cookstoves paper-10032016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372312/Data%20in%20PAH%20cookstoves%20paper-10032016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-04",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.6b02641"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conversion of environmental estrone to estradiol by male fathead minnows",
      "description": "This data set describes experiments that were conducted to investigate whether exposure of male fathead minnows to environmentally-relevant estrone concentrations would result in elevated plasma 17β-estradiol concentrations in the fish. Secondly, we sought to establish whether observed elevations in plasma 17β-estradiol occurred as a result of the conversion of external estrone by the fish using an approach involving exposure of the fish to 13C-labeled estrone. Endpoints reported in the dataset include plasma 17β-estradiol and estrone concentrations, plasma vitellogenin concentrations, hepatic vitellogenin mRNA, 13C-labeled plasma 17β-estradiol and estrone concentrations, and testicular and/or hepatic expression of aromatase and several hydroxysteroid dehydrogenases involved in estrone metabolism. \n\nThis dataset is associated with the following publication:\nAnkley, G., D. Feifarek, B. Blackwell, J. Cavallin, K. Jensen, M. Kahl, S. Poole, E. Randolph, T. Saari, and D. Villeneuve. Reevaluating the significance of estrone as an environmental estrogen (article).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 4705-4713, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1369435",
      "keyword": [
        "environmental estrogens",
        "estrone",
        "estradiol",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "AnkleyGerald_A-cjt8_Dataset Estrone.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369435/AnkleyGerald_A-cjt8_Dataset%20Estrone.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.1021/acs.est.7b00606"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "First Generation Annotations for the Fathead Minnow (Pimephales promelas) Genome",
      "description": "The fathead minnow (Pimephales promelas) is a laboratory model organism widely used in regulatory toxicity testing and ecotoxicology research. Despite, the wealth of toxicological data for this organism, until recently genome scale information was lacking for the species, which limited the utility of the species for pathway-based toxicity testing and research. As part of a EPA Pathfinder Innovation Project, next generation sequencing was applied to generate a draft genome assembly, which was published in 2016. However, application of those genome-scale sequencing resources was still limited by the lack of available gene annotations for fathead minnow. Here we report on development of a first generation genome annotation for fathead minnow and the dissemination of that information through a web-based browser that makes it easy to search for genes of interest, extract the corresponding sequence, identify intron and exon boundaries and regulatory regions, and align the computationally predicted genes with other supporting evidence. This work greatly enhances the utility of the genome assemblies that were developed and makes it accessible to the ecotoxicology community world-wide, opening up a wide array of new research opportunities with the species. The URL associated with this data set provides access to the genome browser that was developed as well as the current gene models and evidence tracks. \n\nThis dataset is associated with the following publication:\nSaari, T., A. Schroeder, G. Ankley, and D. Villeneuve. First generation annotations for the fathead minnow (Pimephales promelas) genome.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(12): 3436-3442, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1369565",
      "keyword": [
        "genome",
        "pimephales promelas",
        "fish",
        "bioinformatics",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.setac.org/fhm-genome",
          "accessURL": "https://www.setac.org/fhm-genome",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.1002/etc.3929"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Temporary Vs. Permanent Sub-Slab Ports: A Comparative Performance Study ",
      "description": "Data Tables from Published Article. \n\nThis dataset is associated with the following publication:\nZimmerman, J., C. Lutes, B. Cosky, B. Schumacher, D. Salkie, and R. Truesdale. Temporary vs. Permanent Sub-slab Ports: A Comparative Performance Study.   SOIL AND SEDIMENT CONTAMINATION: AN INTERNATIONAL JOURNAL. CRC Press LLC, Boca Raton, FL, USA, 26(3): 294-307, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-w9h6-366",
      "keyword": [
        "sub-slab port",
        "vapor intrusion",
        "PCE",
        "TCE",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "Zimmerman_A_w9h6_Dataset_20160921.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/366/Zimmerman_A_w9h6_Dataset_20160921.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-21",
      "references": [
        "https://doi.org/10.1080/15320383.2017.1298565"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Respiratory Effects and Systemic Stress Response Following Acute Acrolein Inhalation in Rats",
      "description": "This data set is an Excel file pertaining to the study that examined nasal, pulmonary, and systemic effects of acrolein in rats acutely exposed to a range of concentrations.  The different tabs of the spreadsheet pertain to each figure found in the manuscript. \n\nThis dataset is associated with the following publication:\nSnow, S., M. McGee, A. Henriquez, J. Richards, M. Schladweiler, A. Ledbetter, and U. Kodavanti. Respiratory Effects and Systemic Stress Response Following Acute Acrolein Inhalation in Rats#.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    158(2): 454-464, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1369397",
      "keyword": [
        "acrolein",
        "Stress Response",
        "neuroendocrine",
        "nasal injury",
        "pulmonary injury"
      ],
      "contactPoint": {
        "fn": "Samantha Snow",
        "hasEmail": "mailto:snow.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "GKAcrolein Manuscript - Data for ScienceHub - SnowKodavanti.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369397/GKAcrolein%20Manuscript%20-%20Data%20for%20ScienceHub%20-%20SnowKodavanti.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-24",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx108"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evidence of sulfate-dependent anaerobic methane oxidation... Wolfe & Wilkin data table vers 1",
      "description": "Data file (.csv) including data plotted in manuscript figures: methane and sulfate concentrations, and stable isotope data for carbon, hydrogen, sulfur, and oxygen. \n\nThis dataset is associated with the following publication:\nWolfe, A., and R. Wilkin. Evidence of sulfate-dependent anaerobic methane oxidation within an area impacted by coalbed methane-related gas migration.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 1901-1909, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1373358",
      "keyword": [
        "Methane",
        "groundwater",
        "anaerobic methane oxidation",
        "coalbed methane",
        "gas migration",
        "hydraulic fracturing",
        "Raton Basin"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Evidence of sulfate-dependent anaerobic methane oxidation within an area impacted by coalbed methane... - Wolfe & Wilkin ES&T 2017 v51 p1901.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373358/Evidence%20of%20sulfate-dependent%20anaerobic%20methane%20oxidation%20within%20an%20area%20impacted%20by%20coalbed%20methane...%20-%20Wolfe%20%26%20Wilkin%20ES%26T%202017%20v51%20p1901.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-31",
      "references": [
        "https://doi.org/10.1021/acs.est.6b03709"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub data set for \"Detection of semi-volatile organic compounds in permeable pavement infiltrate\"",
      "description": "Observed permeable pavement infiltrate concentrations by  EPA (1996) method 8270C Semivolatile Organic Compounds by Gas Chromatography/Mass Spectrometry (GC/MS) with selected ion monitoring (SIM). \n\nThis dataset is associated with the following publication:\nOConnor , T. Detection of semi-volatile organic compounds in permeable pavement infiltrate.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 3(2): 999-999, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1372637",
      "keyword": [
        "semi-volatile organic compound",
        "permeable pavement",
        "infiltrate",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "Thomas Oconnor",
        "hasEmail": "mailto:oconnor.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372637/ScienceHubdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-07",
      "references": [
        "https://doi.org/10.1061/jswbay.0000822"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity",
      "description": "The data is provided in 2 zip files that share site identifiers. One data set contains biological (genus benthic invertebrate) data (Data Biological.zip) and the other contains water quality data (Data Environmental.zip), in particular specific conductivity that were used for analyses. A third zip file( XC95_20161120B-C model.zip) contains the XC95 for each genus for each stage data set in Column F of the .csv files.  Other columns contain effect specific conductivity effect levels determined by other analytical methods such as from generalized additive models (GAM), linear regression models (LRM) or a weighted optimum (WAopt). Column T (Trend) indicates if the XC95 is confident (+), approximate (~), or greater (>) than the XC95.  The pdf files provide plots of either the cumulative frequency distribution or the generalized additive models for each genus in each state data set. \n\nThis dataset is associated with the following publication:\nCormier, S., L. Zheng, and C. Flaherty. A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 633: 1629-1636, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371707",
      "keyword": [
        "conductivity",
        "total dissolved solids",
        "water quality",
        "Extirpation",
        "background",
        "streams",
        "benthic macroinvertebrate"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Biological.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371707/Data%20Biological.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Environmental.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371707/Data%20Environmental.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XC95_20161120 B-C model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371707/XC95_20161120%20B-C%20model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.02.044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1371707/documents/DataDictionaryCond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Estimation of field-based benchmarks from a background specific conductivity",
      "description": "There are 3 data sets.  Two zip files contain paired biological (benthic macroinvertebrate genera) (Data Biological.zip)  and water quality data (Data Environmental.zip).  These were used to estimate background specific conductivity from these state data and estimate the HC05 using the field based extirpation concentration method (USEPA 2011).  \nThe zipped files (Griffith ion MG20150729) contains two csv miles with ions summaries and ion and specific conductivity data from the combined EPA survey data. \n\nThis dataset is associated with the following publication:\nCormier, S., L. Zheng, R. Novak, and C. Flaherty. A flow-chart for developing water quality criteria from two field-based methods.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 633: 1647-1656, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371706",
      "keyword": [
        "benthic macroinvertebrate",
        "stream",
        "Specific Conductivity",
        "total dissolved solids",
        "water quality criteria",
        "field-based method",
        "background conductivity"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Griffith ion_MG20150729.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371706/Griffith%20ion_MG20150729.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Biological.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371706/Data%20Biological.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Environmental.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371706/Data%20Environmental.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.01.137"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1371706/documents/DataDictionaryCond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.1 with new dust IMPROVE site compare files",
      "description": "CMAQv5.1 with a new dust module IMPROVE sitex files containing 24-hr (every 3rd day) paired model/ob data for the IMPROVE network. \n\nThis dataset is associated with the following publication:\nForoutan, H., J. Young, S. Napelenok, L. Ran, W. Appel, R. Gilliam, and J. Pleim. Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(1): 585-608, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1373103",
      "keyword": [
        "CMAQ",
        "Windblown Dust",
        "emission parametrization",
        "surface roughness"
      ],
      "contactPoint": {
        "fn": "Hosein Foroutan",
        "hasEmail": "mailto:foroutan.hosein@epa.gov"
      },
      "distribution": [
        {
          "title": "IMPROVE_CMAQv51_NewDust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373103/IMPROVE_CMAQv51_NewDust.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-12",
      "references": [
        "https://doi.org/10.1002/2016ms000823"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1373103/documents/ForoutanHosein_A-83bv_Data_Dictionary_20170712.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Soil organic matter and amphibian exposure dataset.",
      "description": "Dermal uptake from soil is known to occur in amphibians, but predicting pesticide availability and bioconcentration across soil types is not well understood. The present study was designed to compare uptake of 5 current-use pesticides (imidacloprid, atrazine, triadimefon, fipronil, and pendimethalin) in American toads (Bufo americanus) from exposure on soils with significant organic matter content differences (14.1% = high organic matter and 3.1% = low organic matter). We placed toads on high- or low-organic matter soil after applying individual current-use pesticides on the soil surface for an 8-h exposure duration. Whole body tissue homogenates and soils were extracted and analyzed using liquid chromatography–mass spectrometry to determine pesticide tissue and soil concentration, as well as bioconcentration factor in toads. Tissue concentrations were greater on the low-organic matter soil than the high-organic matter soil across all pesticides (average ± standard error; 1.23 ± 0.35 ppm and 0.78 ± 0.23 ppm, respectively), and bioconcentration was significantly higher for toads on the low-organic matter soil (analysis of covariance p = 0.002). Soil organic matter is known to play a significant role in the mobility of pesticides and bioavailability to living organisms. Agricultural soils typically have relatively lower organic matter content and serve as a functional habitat for amphibians. The potential for pesticide accumulation in amphibians moving throughout agricultural landscapes may be greater and should be considered in conservation and policy efforts. This dataset is associated with the following publication:\nVanMeter, R., D. Glinski, T. Hong, M. Cyterski , M. Henderson , and T. Purucker. Estimating terrestrial amphibian pesticide body burden through dermal exposure.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 193: 262-268, (2014). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1373748",
      "keyword": [
        "amphibians",
        "dermal exposure",
        "soil organic matter",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2017-07-06",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "amphibian_biomarker_data",
      "description": "Amphibian metabolite data used in Snyder, M.N., Henderson, W.M., Glinski, D.G., Purucker, S. T., 2017. Biomarker analysis of american toad (Anaxyrus americanus) and grey tree frog (Hyla versicolor) tadpoles following exposure to atrazine. Aquatic Toxicology, 182(184-193). doi: 10.1016/j.aquatox.2016.11.018. \n\nThis dataset is associated with the following publication:\nSnyder, M., M. Henderson, D. Glinski, and T. Purucker. Biomarker analysis of American toad (Anaxyrus americanus) and grey tree frog (Hyla versicolor) tadpoles following exposure to atrazine..   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 182: 184-193, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1373743",
      "keyword": [
        "biomarkers",
        "amphibians",
        "pesticides",
        "Support vector machines",
        "Metabolites"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/snyderetal_2017_amphibian_biomarker_analysis/tree/master/data_in",
          "accessURL": "https://github.com/puruckertom/snyderetal_2017_amphibian_biomarker_analysis/tree/master/data_in",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-05",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2016.11.018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the Unites States: Pharmaceuticals",
      "description": "Data from pharmaceutical paper. \n\nThis dataset is associated with the following publication:\nFurlong, E., A. Batt, S. Glassmeyer, M. Noriega, D. Kolpin, H. Mash, and K. Schenck. Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States: Pharmaceuticals.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 1629–1642, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-cjt7-271",
      "keyword": [
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Furlong_Pharm MS_Tables_for BAO Approval.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/271/Furlong_Pharm%20MS_Tables_for%20BAO%20Approval.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DWTP Paper_Data Supporting Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/271/DWTP%20Paper_Data%20Supporting%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DWTP Paper_Data Supporting Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/271/DWTP%20Paper_Data%20Supporting%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.03.128"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The importance of quality control in validating concentration of contaminants of emerging concern in source and treated drinking water samples.",
      "description": "Overview of the quality assurance and quality control that supports the data analysis across all papers. \n\nThis dataset is associated with the following publication:\nBatt , A., E. Furlong, H. Mash , S. Glassmeyer , and D. Kolpin. The importance of quality control in validating concentrations of contaminants of emerging concern in source and treated drinking water samples..   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 1618-1628, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-cjt7-273",
      "keyword": [
        "mass spectrometry",
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of PhaseII-Method-comparison-SCHIHUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/273/Copy%20of%20PhaseII-Method-comparison-SCHIHUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.02.127"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of In Vitro Estrogenic Activity and Estrogen Concentrations in Source and Treated Waters from 25 Drinking Water Treatment Plants.",
      "description": "Compares results of bioassay with hormones measured using analytical chemistry. \n\nThis dataset is associated with the following publication:\nConley, J., H. Mash , N. Evans , K. Schenck , L. Rosenblum, S. Glassmeyer , E.T. Furlong, D.W. Kolpin, and V. Wilson. Comparison of in vitro estrogenic activity and estrogen concentrations in source and treated waters from 25 U.S. drinking water treatment plants.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  N/A, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-cjt7-274",
      "keyword": [
        "effect-based monitoring",
        "In vitro bioassay",
        "estrogen",
        "water quality",
        "T47D-KBluc",
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Conley_2016_ScienceHub_data_file.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/274/Conley_2016_ScienceHub_data_file.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.02.093"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.1 with new dust AQS Hourly site compare files",
      "description": "CMAQv5.1 with a new dust module AQS Hourly sitex files containing hourly paired model/ob data for the AQS network. \n\nThis dataset is associated with the following publication:\nForoutan, H., J. Young, S. Napelenok, L. Ran, W. Appel, R. Gilliam, and J. Pleim. Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(1): 585-608, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1373104",
      "keyword": [
        "CMAQ",
        "Windblown Dust",
        "emission parametrization",
        "surface roughness"
      ],
      "contactPoint": {
        "fn": "Hosein Foroutan",
        "hasEmail": "mailto:foroutan.hosein@epa.gov"
      },
      "distribution": [
        {
          "title": "AQS_Hourly_CMAQv51_NewDust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373104/AQS_Hourly_CMAQv51_NewDust.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-12",
      "references": [
        "https://doi.org/10.1002/2016ms000823"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1373104/documents/ForoutanHosein_A-83bv_Data_Dictionary_20170712.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Riparian proper functioning condition assessment to improve watershed management for water quality",
      "description": "No data. This dataset is not publicly accessible because: No data. It can be accessed through the following means: No data. Format: No data. \n\nThis dataset is associated with the following publication:\nSwanson, S., D. Kozlowski, R. Hall , D. Heggem , and J. Lin. Riparian Proper Functioning Condition (PFC) Assessment to Improve Water Quality.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 72(2): 168-172, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "A-4j13-634",
      "keyword": [
        "water quality",
        "Tribal Sustainability",
        "proper functioning condition",
        "ecological condition assessment",
        "Environmenal health",
        "Ecological Health",
        "Vulnerable Groups"
      ],
      "contactPoint": {
        "fn": "Daniel Heggem",
        "hasEmail": "mailto:heggem.daniel@epa.gov"
      },
      "distribution": [],
      "modified": "2017-05-22",
      "references": [
        "https://doi.org/10.2489/jswc.72.2.168"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro screening of metal oxide nanoparticles for effects on neural function using cortical networks",
      "description": "Data describe the effects of metal oxide nanoparticles on total spikes and active electrodes after exposure to various concentrations for 1, 24 and 48 hrs, or after treatment with bicuculline. This dataset is not publicly accessible because: Each raw file contains at least 1 hour of recording time and is approximately 50 GB or larger. They cannot be uploaded due to file size. It can be accessed through the following means: Raw files are analyzed using scripts written in R-programming language and outputs from R included the graphs used in the publication. Summaries of the data, R-scripts and summary outputs from the R-analysis are located at the following locations: L:\\Lab\\NHEERL_MEA\\Crooks\\MEA_MetalOxides\r\n          This directory and its sub-directory contains over 30 output files from the R-script analysis including xcell files summarizing the parameters of different statistical models and visualizations of the data in the form of tiff files.\r\nL:\\Lab\\NHEERL_MEA\\nanoparticles\\Crooks MEA\\final analysis\r\n     This directory and its sub-directories include R-scripts used for analysis as well as folders with R-outputs summarizing statistics for different Fixed-dose trend, fixed interaction and fixed square root models used for analysis. There are over 50 files in this directory. Format: Raw data are derived from Axion Biosystems Maestro system using Axis 1.9 or later software. Data are saved as \"*.raw\" in a proprietary format on DROBO devices in the Shafer lab. The DROBO devices consist of five 2TB or larger hard drives and allows for self backing of files. Files are stored in folders based on the date the cell culture used for a particular experiment was made, and in subfolders for each experiment date for that culture. \n\nThis dataset is associated with the following publication:\nStrickland, J., W. Lefew , J. Crooks , D. Hall, J. Ortenzio, K. Dreher , and T. Shafer. In vitro screening of metal oxide nanoparticles for effects on neural function using cortical networks on microelectrode arrays.   Journal of Nanotoxicology. Taylor and Francis, Philadelphia, PA, USA, 10(5): 619-28, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-xppm-398",
      "keyword": [
        "Nanoparticles",
        "screening",
        "neurotoxicity",
        "Microelectrode array"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2013-05-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "No data",
      "description": "Manuscript provides a look-up table to predict exposures from minimal information using ECETOC TRA software. This dataset is not publicly accessible because: There is no EPA-generated data. It can be accessed through the following means: Rosemarie Zaleski of ExxonMobile Biosciences created \"look-up table\" using freely available ECETOC TRA software *http://www.ecetoc.org/tools/targeted-risk-assessment-tra/download-integrated-tool/). Format: There is no EPA-generated data. \n\nThis dataset is associated with the following publication:\nDellarco, M., R. Zaleski , B. Gaborek , H. Qian, C. Bellin , P. Egeghy, N. Heard , O. Jolliet, D. Lander, N. Sunger , K. Stylianou  , and J. Tanir. Using exposure bands for rapid decision making in the RISK21 tiered exposureassessment.   CRITICAL REVIEWS IN TOXICOLOGY. CRC Press LLC, Boca Raton, FL, USA,  online, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-jm6m-594",
      "keyword": [
        "Exposure banding",
        "Exposure Assessment",
        "Risk Assessment",
        "high throughput",
        "RISK21",
        "screening",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "Peter Egeghy",
        "hasEmail": "mailto:egeghy.peter@epa.gov"
      },
      "distribution": [],
      "modified": "2016-04-22",
      "references": [
        "https://doi.org/10.1080/10408444.2016.1270255"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF Model Output",
      "description": "This dataset contains WRF model output.  There are three months of data: July 2012, July 2013, and January 2013.  For each month, several simulations were made: A control and two lightning assimilation runs using different suppression techniques.  For July 2012, and additional simulation was made with a third suppression technique.  Please refer to the manuscript for a full description of each simulation. This dataset is not publicly accessible because: The files are too large. It can be accessed through the following means: The data can be accessed through NCC's tape archival storage system (ASM) or by contacting the author. Format: WRF model output for July 2012, July 2013, and January 2013. \n\nThis dataset is associated with the following publication:\nHeath, N., J. Pleim, R. Gilliam, and D. Kang. A simple lightning assimilation technique for improving retrospective WRF simulations..   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(4): 1806-1824, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1374152",
      "keyword": [
        "Lightning",
        "data assimilation",
        "WRF",
        "deep convection"
      ],
      "contactPoint": {
        "fn": "Nicholas Heath",
        "hasEmail": "mailto:heath.nicholas@epa.gov"
      },
      "distribution": [],
      "modified": "2017-02-09",
      "references": [
        "https://doi.org/10.1002/2016ms000735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PDP data download from https://www.ams.usda.gov/datasets/pdp",
      "description": "The Pesticide Data Program (PDP) is a national pesticide residue monitoring program and produces the most comprehensive pesticide residue database in the U.S. The Monitoring Programs Division administers PDP activities, including the sampling, testing, and reporting of pesticide residues on agricultural commodities in the U.S. food supply, with an emphasis on those commodities highly consumed by infants and children. The program is implemented through cooperation with State agriculture departments and other Federal agencies. PDP data. \n\nThis dataset is associated with the following publication:\nMelnyk , L., Z. Wang, Z. Li, and J. Xue. Prioritization of pesticides based on daily dietary exposure potential as determined from the SHEDS model.   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 96: 167-173, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374555",
      "keyword": [
        "pesticides",
        "risk ranking",
        "dietary exposure",
        "adi"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "pdpRankData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374555/pdpRankData.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-21",
      "references": [
        "https://doi.org/10.1016/j.fct.2016.07.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity in Salmonella of Biodiesel Fractions",
      "description": "A description is included with the data. \n\nThis dataset is associated with the following publication:\nMutlu, E., S. Warren , P. Matthews, J. Schmid , I. Kooter, B. Linak , I. Gilmour , and D. DeMarini. Health Effects of Soy-Biodiesel Emissions: Bioassay-Directed Fractionation for Mutagenicity*.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 27(11): 597-612, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-47dc-441",
      "keyword": [
        "Mutagenicity",
        "Salmonella",
        "bioassay-directed fractionation",
        "Complex Mixtures",
        "Diesel Exhaust",
        "Mutagenesis",
        "PAHs"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Biodiesel Fractions Raw Mutagenicity Data 7-23-14.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/441/Science%20Hub%20Biodiesel%20Fractions%20Raw%20Mutagenicity%20Data%207-23-14.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity of Cookstove Emissions",
      "description": "Description is included with the dataset. \n\nThis dataset is associated with the following publication:\nMutlu, E., S. Warren , S. Ebersviller , I. Kooter, J. Schmid , J. Dye , B. Linak , I. Gilmour , J. Jetter , M. Higuchi , and D. DeMarini. Mutagenicity- and Pollutant-Emission Factors of\r\nSolid-Fuel Cookstoves: Comparison to Other\r\nCombustion Sources.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124: 974-982, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "A-bzks-442",
      "keyword": [
        "Mutagenicity",
        "Salmonella",
        "cookstoves",
        "Complex Mixtures",
        "Combustion Emissions"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Cookstove Data Set.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/442/Science%20Hub%20Cookstove%20Data%20Set.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "https://doi.org/10.1289/ehp.1509852"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity of Swimming Pool and Hot Tub Water",
      "description": "Description is included in the dataset. \n\nThis dataset is associated with the following publication:\nDaiber, E., D. DeMarini , S. Ravuri, H. Liberatore, A. Cuthbertson, A. Thompson-Klemish, J. Byer, J. Schmid , M. Afifi, E. Blatchley, and S. Richardson. Progressive Increase in Disinfection Byproducts and Mutagenicity from Sourceto Tap to Swimming Pool and Spa Water:  Implications for Public Health.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(13): 6652-6662, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-j6qk-443",
      "keyword": [
        "Mutagenicity",
        "swimming pool",
        "hot tub",
        "spa",
        "disinfection byproducts"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Pool ES&T Data Set.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/443/Science%20Hub%20Pool%20ES%26T%20Data%20Set.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-13",
      "references": [
        "https://doi.org/10.1021/acs.est.6b00808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrolysis Rate Data and Activation Energy Values (Supporting Information for doi 10.1021/acs.est.6b05412)",
      "description": "This dataset consists of rate constants, half-lives and activation energy values for hydrolysis of organic chemicals compiled from journal publications and regulatory reports.  The dataset was used to develop a ranked library of transformation reaction schemes for abiotic hydrolysis of organic chemicals under environmentally relevant conditions.  The spreadsheet file HydrolysisRateConstants_est6b05412.xlsx contains a compilation of 187 literature-reported hydrolysis half-lives adjusted to pH 5, 7 and 9 and temperature of 25°C.  The spreadsheet file HydrolysisActivationEnergy_est6b05412.xlsx contains a compilation of 58 literature-reported activation energies for hydrolysis reaction schemes. \n\nThis dataset is associated with the following publication:\nStevens, C., J. Patel, J. Jones, and E. Weber. Prediction of Hydrolysis Products of Organic Chemicals under Environmental pH Conditions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(9): 5008–5016, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "A-4b8n-630",
      "keyword": [
        "hydrolysis",
        "transformations",
        "predictive models",
        "cheminformatics",
        "reaction library"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "HydrolysisActivationEnergy_est6b05412.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/630/HydrolysisActivationEnergy_est6b05412.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HydrolysisRateConstants_est6b05412.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/630/HydrolysisRateConstants_est6b05412.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-13",
      "references": [
        "https://doi.org/10.1021/acs.est.6b05412"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental data sulfate and metal removal from mining impacted water collected at the Formosa Mine, OR, and sulfur speciation in the obtained solid residues.  ",
      "description": "The data set contains the elemental composition, pH, and sulfate content of the utilized mining impacted water used as influent in the columns study, the data for pH, Eh, Cd, Fe, Mn, Zn, sulfate and sulfate removal rate in the columns, and the data for an example XPS spectrum of sulfur from one of the collected solid residues from the bioactive column. \n\nThis dataset is associated with the following publication:\nAl-Abed, S., P. Pinto, J. McKernan, E. Feld-Cook, and S. Lomnicki. Mechanisms and Effectivity of Sulfate Reducing Bioreactors using a Chitinous Substrate in Treating Mining Influenced Water.  S.J. Allen, D. Dionysiou, G.B. Martin, J. Santamaria, K.L. Yeung, T. Aminabhavi, K. Chandran, and S.G. Pavlostathis  Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 323: 270-277, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374183",
      "keyword": [
        "passive remediation. sulfide",
        "acid mine drainage",
        "anaerobic biochemical reactors"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "meta deta set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374183/meta%20deta%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-07-23",
      "references": [
        "https://doi.org/10.1016/j.cej.2017.04.045"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374183/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Wilkin and Beak (2017) ChemGeol v462 p15",
      "description": "The dataset includes X-ray Diffraction, Raman spectroscopic, X-ray absorption spectroscopic, and aqueous data pertaining to the paper titled \"Uptake of nickel by synthetic mackinawite\" published in Chemical Geology (2017, volume 462, pages 15-29. \n\nThis dataset is associated with the following publication:\nWilkin, R., and D. Beak. Uptake of Nickel by Synthetic Mackinawite.   CHEMICAL GEOLOGY. Elsevier Science Ltd, New York, NY, USA, 462: 15-29, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1374560",
      "keyword": [
        "groundwater",
        "chromium",
        "arsenic",
        "nickel",
        "iron sulfides",
        "uranium"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkin and Beak (2017) ChemGeol v462 p15.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374560/Wilkin%20and%20Beak%20%282017%29%20ChemGeol%20v462%20p15.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.chemgeo.2017.04.023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources",
      "description": "This dataset shows the concentration of cyanobacteria cells/ml in fresh water bodies and estuaries of the Ohio and Florida derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery. This dataset was produced through partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency (ESA) Envisat satellite and MERIS instrument. MERIS is a 68.5 degree field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). MERIS imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. This dataset is not publicly accessible because: The dataset describing locations of surface drinking water intakes was obtained through Office of Water's Office of Ground Water and Drinking Water. This dataset is not publicly available for security reasons. While location data were used in our analysis, no intake locations were revealed and data were handled according to security specifications provided by OW. This dataset will therefore not be made available to the public through ScienceHub or any other outlet. It can be accessed through the following means: Contact corresponding author for additional information. Format: Assessing temporal frequency of cyanobacterial blooms at drinking water intakes using imagery from the Sentinel-3A satellite sensor. \n\nThis dataset is associated with the following publication:\nClark, J., B. Schaeffer, J. Darling, E. Urquhart, J. Johnston, A. Ignatius, M. Myer, K. Loftin, J. Werdell, and R. Stumpf. Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 80: 84-95, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1366973",
      "keyword": [
        "cyanobacteria index",
        "MERIS",
        "cyanobacteria",
        "drinking water",
        "recreational water",
        "satellite",
        "public water systems",
        "Harmful Algal Blooms"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-13",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2017.04.046",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145495"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A case study on the use of exposure-activity ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters",
      "description": "As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast™ effects database were used to calculate exposure-activity ratios (EARs) as a prioritization tool. Technical considerations of data processing and use of the ToxCast™ database are presented and discussed. EAR prioritization identified multiple sites, biological pathways, and chemicals that warrant further investigation. Biological pathways were then linked to adverse outcome pathways to identify potential adverse outcomes and biomarkers for use in subsequent monitoring efforts. \n\nThis dataset is associated with the following publication:\nBlackwell, B., G. Ankley, S. Corsi, L.A.  DeCicco, K. Houck, R. Judson, S. Li, M. Martin, A. Schroeder, J. Swintek, D. Villeneuve, E. Murphy, and E. Smith. An \"EAR\" on environmental surveillance and monitoring: A case study on the use of exposure-activity ratios to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(15): 8713–8724, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1371573",
      "keyword": [
        "exposure activity ratio",
        "Great Lakes Restoration Initiative",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dx.doi.org/10.1021/acs.est.7b01613",
          "accessURL": "https://dx.doi.org/10.1021/acs.est.7b01613",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-03",
      "references": [
        "https://doi.org/10.1021/acs.est.7b01613"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Association between adverse cardiovascular outcomes and PM2.5 data obtained from monitors, CMAQ models, and satellite models.",
      "description": "Background: Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air\nquality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution\nmay more accurately predict residential exposure; however few studies have compared results across\ndifferent exposure assessment methods.\nMethods: We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between\n2002–2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data\nfrom air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and\n12 km spatial resolutions, and satellite-based models at 10 km and 1 km resolutions. Case status was either a\ncoronary artery disease (CAD) index>23 or a recent myocardial infarction (MI). Logistic regression was used to\nmodel odds of having CAD or an MI with each 1-unit (μg/m3) increase in PM2.5, adjusting for sex, race, smoking\nstatus, socioeconomic status, and urban/rural status.\nResults: We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment\nmethods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference\nin relative risk, which was not apparent with the satellite or 12 km-CMAQ models.\nConclusions: Long-term air pollution exposure was associated with coronary artery disease for both modeled and\nmonitored data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Clinical data are located in:\r\nC:\\Users\\rdevlin\\OneDrive - Environmental Protection Agency (EPA)\\Excel Files\\Cathgen  \r\n\r\nSatellite data are located in : \r\nC:\\Users\\rdevlin\\OneDrive - Environmental Protection Agency (EPA)\\Excel Files\\New Ikm Satellite Data \r\nC:\\Users\\rdevlin\\OneDrive - Environmental Protection Agency (EPA)\\Excel Files\\Satellite Data \r\nCMAQ data are located in C:\\Users\\rdevlin\\OneDrive - Environmental Protection Agency (EPA)\\Excel Files\\CMAQ Data. Format: There are two types of datasets used in this study:  clinical data taken from patient records at the Duke Medical Center; and air pollution data (PM2.5) taken from a federal reference monitor located in Raleigh, CMAQ data obtained from collaborators at Georgia Tech and NERL/ORD, and satellite data obtained from collaborators at Harvard.  \r\n\r\nMetadata are in the form of Excel spreadsheets that contain columns of data that specify clinical and exposure information for each individual participating in the study. \n\nThis dataset is associated with the following publication:\nMcGuinn, L., C. Ward-Caviness, A. Schneider, Q. Di, A. Chudnovsky, J. Schwartz, P. Koutrakis, A. Russell, V. Garcia, W. Krause, E. Hauser, L. Neas, W. Cascio, D. Diaz-Sanchez, and R. Devlin. Fine Particulate Matter and Cardiovascular Disease: Comparison of Assessment Methods for Long-term Exposure.   ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 159: 16-23, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375430",
      "keyword": [
        "Fine Particulate Matter",
        "air pollution",
        "cardiovascular disease",
        "epidemiology",
        "Exposure Assessment",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Robert Devlin",
        "hasEmail": "mailto:devlin.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-01",
      "references": [
        "https://doi.org/10.1016/j.envres.2017.07.041"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Performance Evaluation and Community Application of Low-Cost Sensors for Ozone and Nitrogen Dioxide Data Set",
      "description": "Data set contains data collected during the DISCOVER-AQ Mission that support the journal article results. \n\nThis dataset is associated with the following publication:\nDuvall , R., R. Long , M. Beaver , K. Kronmillwe, M. Wheeler, J. Szykman , M. Silverman, and J.H. Crawford. Performance Evaluation and Community Application of Low-Cost Sensors for Ozone and Nitrogen Dioxide.   Sensors. MDPI AG, Basel,  SWITZERLAND, 16(10): 1698, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1374981",
      "keyword": [
        "Sensors",
        "Ozone",
        "nitrogen dioxide",
        "citizen science",
        "DISCOVER-AQ",
        "FRM/FEM"
      ],
      "contactPoint": {
        "fn": "Rachelle Duvall",
        "hasEmail": "mailto:duvall.rachelle@epa.gov"
      },
      "distribution": [
        {
          "title": "DuvallRachelle_A-fttw_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374981/DuvallRachelle_A-fttw_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "accessURL": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://doi.org/10.3390/s16101698"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Method 1615 RT-qPCR data",
      "description": "EPA Method 1615 measures enteroviruses and noroviruses present in environmental and drinking waters. The viral ribonucleic acid (RNA) from water sample concentrates is extracted and tested for enterovirus and norovirus RNA using reverse transcription-quantitative PCR (RT-qPCR). Virus concentrations for the molecular assay are calculated in terms of genomic copies of viral RNA per liter based upon a standard curve. The method uses a number of quality controls to increase data quality and to reduce interlaboratory and intralaboratory variation. The method has been evaluated by examining virus recovery from ground and reagent grade waters seeded with poliovirus type 3 and murine norovirus as a surrogate for human noroviruses. Mean poliovirus recoveries were 20% in groundwaters and 44% in reagent grade water. Mean murine norovirus recoveries with the RT-qPCR assay were 31% in groundwaters and 4% in reagent grade water. \n\nThis dataset is associated with the following publication:\nFout , S., J. Cashdollar , S. Griffin , N. Brinkman , E. Varughese , and S. Parshionikar. EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. Part III. Virus Detection by RT-qPCR.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 107: e52646, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1368685",
      "keyword": [
        "virus",
        "waterborne",
        "detection",
        "occurrence",
        "rt-qpcr"
      ],
      "contactPoint": {
        "fn": "Jennifer Cashdollar",
        "hasEmail": "mailto:cashdollar.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Final Corrected molecular data for JoVE 29Jun17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1368685/Final%20Corrected%20molecular%20data%20for%20JoVE%2029Jun17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-29",
      "references": [
        "https://doi.org/10.3791/52646"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Literature review tables for Karna et al. 2017",
      "description": "N/A. Users will need to access the manuscript to see non-EPA data presented in tables and figures. This dataset is not publicly accessible because: The tables in the manuscript are summaries of non-EPA data. It can be accessed through the following means: Data in the tables of the review manuscript have notations to citations in the manuscript. Format: No EPA generated data used in the paper; all information was taken from previously published literature to format this review of waste materials. \n\nThis dataset is associated with the following publication:\nKarna, R., T. Luxton, K. Bronstein, J. Redmon, and K. Scheckel. State of the Science Review:  Potential for Beneficial Use of Waste By-Products for <I>In-situ</I> Remediation of Metal-Contaminated Soil and Sediment.  Scott Bradford  CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 47(2): 65-129, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1372883",
      "keyword": [
        "soil amendments",
        "metals",
        "remediation",
        "waste reuse"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-16",
      "references": [
        "https://doi.org/10.1080/10643389.2016.1275417"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Understanding arsenic dynamics in agronomic systems to predict and prevent uptake by crop plants",
      "description": "N/A. This is a review article and no data were generated in the process of the review. This dataset is not publicly accessible because: This is a review article and no data were generated in the process of the review. It can be accessed through the following means: Information is presented in the published manuscript. Format: This is a review article and no data were generated in the process of the review. \n\nThis dataset is associated with the following publication:\nPunshon, T., B. Jackson, A. Meharg, T. Warczak, K. Scheckel, and M.L. Guerinot. Understanding Arsenic Dynamics in Agronomic Systems to Predict and Prevent Uptake by Crop Plants.  D. Barcelo, and Jay Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 582: 209/220, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1372884",
      "keyword": [
        "arsenic",
        "soil",
        "crop agriculture",
        "mitigation",
        "bioavailability"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.12.111"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rainfall and Detention Basin Flows",
      "description": "Storm event data and flow rates in/out pre-post device installation. \n\nThis dataset is associated with the following publication:\nHawley, R., J. Goodrich, N. Korth, C. Rust, E. Fet, C. Frye, K. MacMannis, M. Wooten, M. Jacobs, and R. Sinha. Detention Outlet Retrofit Improves the Functionality of Existing Detention Basins by Reducing Erosive Flows in Receiving Channels.   JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA,  1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374420",
      "keyword": [
        "storm events",
        "Hydraulic rates",
        "Detention basin flow control",
        "Wide area water decontamination"
      ],
      "contactPoint": {
        "fn": "James Goodrich",
        "hasEmail": "mailto:goodrich.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Figure and Table Data for EPA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374420/Copy%20of%20Figure%20and%20Table%20Data%20for%20EPA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hawley_et_al-2017-JAWRA_Journal_of_the_American_Water_Resources_Association.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374420/Hawley_et_al-2017-JAWRA_Journal_of_the_American_Water_Resources_Association.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-06-05",
      "references": [
        "https://doi.org/10.1111/1752-1688.12548"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NLCD - MODIS land cover- albedo dataset for the continental United States ",
      "description": "The NLCD-MODIS land cover-albedo database integrates high-quality MODIS albedo observations with areas of homogeneous land cover from NLCD. The spatial resolution (pixel size) of the database is 480m-x-480m aligned to the standardized UGSG Albers Equal-Area projection. The spatial extent of the database is the continental United States. \n\nThis dataset is associated with the following publication:\nWickham, J., M. Nash, and C.A. Barnes. Effect of land cover change on snow free surface albedo across the continental United States.   Global and Planetary Change. Elsevier BV, AMSTERDAM,  NETHERLANDS, 146: 1-9, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1375439",
      "keyword": [
        "climate change",
        "land cover change",
        "Landsat",
        "radiative forcing",
        "snow-cover albedo",
        "snow-free albedo"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=A-3txd-117",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=A-3txd-117",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.gloplacha.2016.09.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.mrlc.gov/nlcdalbedo.php"
      },
      "accessRights": "public"
    },
    {
      "title": "Watershed impervious cover relative to stream location ",
      "description": "Estimates of watershed (12-digit huc) impervious cover and impervious cover near streams and water body shorelines for three dates (2001, 2006, 2011) using NLCD data. Differences between watershed impervious cover and impervious cover near streams can be used to assess the spatial pattern of impervious cover within a watershed. \n\nThis dataset is associated with the following publication:\nWickham, J., S.V. Stehman, L. Gass, J.A. Dewitz, D.G. Sorenson, B.J. Granneman, R.V. Poss, and L.A. Baer. Thematic Accuracy Assessment of the 2011 National Land Cover Database (NLCD).   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 191: 328-341, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1375440",
      "keyword": [
        "Impervious cover",
        "National Land Cover Database (NLCD)",
        "Clean Water Act",
        "change detection",
        "roads",
        "spatial pattern"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=A-3txd-118",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=A-3txd-118",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.rse.2016.12.026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1375440/documents/SciHub_Metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "MEA 86 Compound data",
      "description": "This data file contains the full raw parameter data for the 86 compounds tested in the developmental MEA assay, as well as Area Under the Curve (AUC) calculations and plate normalized data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374038",
      "keyword": [
        "developmental neurotoxicity",
        "screening",
        "in vitro",
        "neuronal function",
        "Microelectrode array"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "MEA_86_Compound_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374038/MEA_86_Compound_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical agnostic hazard prediction: Statistical inference of toxicity pathways - data for Figure 2",
      "description": "This dataset comprises one SigmaPlot 13 file containing measured survival data and survival data predicted from the model coefficients selected by the LASSO procedure. \n\nThis dataset is associated with the following publication:\nRoss, J., B. George, M. Bruno, and Y. Ge. Chemical-agnostic hazard prediction:  statistical inference of in vitro toxicity pathways from proteomics responses to chemical mixtures.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 2: 39-44, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376218",
      "keyword": [
        "survival",
        "model predictions",
        "in vitro assays",
        "Mixtures",
        "computational toxicology",
        "toxicity pathways",
        "proteomics"
      ],
      "contactPoint": {
        "fn": "Jeffrey Ross",
        "hasEmail": "mailto:ross.jeffrey@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Figure  2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376218/Data%20for%20Figure%20%202.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-30",
      "references": [
        "https://doi.org/10.1016/j.comtox.2017.03.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset - Evaluation of Standardized Sample Collection, Packaging, and Decontamination Procedures to Assess Cross-Contamination Potential during Bacillus anthracis Incident Response Operations",
      "description": "Spore recovery data during sample packaging decontamination tests. \n\nThis dataset is associated with the following publication:\nCalfee, W., J. Tufts, K. Meyer, K. McConkey, L. Mickelsen, L. Rose, C. Dowell, L. Delaney, A. Weber, S. Morse, J. Chaitram, and M. Gray. Evaluation of standardized sample collection, packaging, and decontamination procedures to assess cross-contamination potential during Bacillus anthracis incident response operations.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 13(12): 12, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1373698",
      "keyword": [
        "efficacy",
        "bacillus atrophaeus",
        "recovery",
        "anthrax",
        "sampling",
        "Bacillus anthracis",
        "cross-contamination",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub for JOEH 2016_Calfee.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373698/Science%20Hub%20for%20JOEH%202016_Calfee.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-05",
      "references": [
        "https://www.ncbi.nlm.nih.gov/pubmed/27362274"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Compilation of colony forming unit data for Bacillus anthracis and B. atrophaeus before and after exposure to various fogging treatments using peracetic acid or hydrogen peroxide",
      "description": "Data set contains CFU data for positive controls and test coupons for each test, for each material, and for each microorganism used.  Also included are efficacy data in terms of log reductions. It also includes data on process and environmental conditions during fogging. \n\nThis dataset is associated with the following publication:\nRichter, W., J. Wood, M. Wendling, and J. Rogers. Inactivation of Bacillus anthracis spores to decontaminate subway railcar and related materials via the fogging of peracetic acid and hydrogen peroxide sporicidal liquids.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 206: 800-806, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1375628",
      "keyword": [
        "Decontamination",
        "Bacillus anthracis",
        "bacterial spores",
        "fog"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "data compilation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375628/data%20compilation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-20",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2017.11.027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TEVA-SPOT-GUI - Containing Preliminary Flow Model",
      "description": "This ZIP file contains the developmental, test version of TEVA-SPOT-GUI's Flow Model.  The Flow Model is a new, event based water quality algorithm for EPANET.  The Flow Model is preliminary, i.e., it may not work for all models or all scenarios (i.e., release nodes in the network model).  If you want to examine the Flow Model code please go to the Github site at:\n\nhttps://github.com/ttaxon/EPANET/tree/flow-transport-model\n\nIf you have any questions, contact Robert Janke (janke.robert@epa.gov). \n\nThis dataset is associated with the following publication:\nJanke, R. Mass Imbalances in EPANET Water-quality Simulations.   Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen,  GERMANY,  25-47, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1375315",
      "keyword": [
        "TEVA-SPOT",
        "EPANET",
        "flow model",
        "Water Quality Algorithm",
        "Drinking water distribution system",
        "EPANET network models",
        "Mass Balance"
      ],
      "contactPoint": {
        "fn": "Robert Janke",
        "hasEmail": "mailto:janke.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "TEVA-SPOTInstaller-2.3.2-MSXb-20170110-DEV.ZIP",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375315/TEVA-SPOTInstaller-2.3.2-MSXb-20170110-DEV.ZIP",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-10",
      "references": [
        "https://doi.org/10.5194/dwes-11-25-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPANET INP files used in paper.",
      "description": "Text files with the \".inp\" extension that can be used in EPANET to simulate hydraulic and water quality analyses and which can be used in TEVA-SPOT-GUI. \n\nThis dataset is associated with the following publication:\nJanke, R. Mass Imbalances in EPANET Water-quality Simulations.   Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen,  GERMANY,  25-47, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1375314",
      "keyword": [
        "EPANET network models",
        "Drinking water distribution system",
        "EPANET",
        "Mass Balance",
        "Water Quality Algorithm"
      ],
      "contactPoint": {
        "fn": "Robert Janke",
        "hasEmail": "mailto:janke.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Mass_Inbalances_EPANET_dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375314/Mass_Inbalances_EPANET_dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/si/si_public_record_report.cfm?subject=Homeland%20Security%20Research&dirEntryId=257684",
          "accessURL": "https://cfpub.epa.gov/si/si_public_record_report.cfm?subject=Homeland%20Security%20Research&dirEntryId=257684",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-01",
      "references": [
        "https://doi.org/10.5194/dwes-11-25-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO v1.1 - Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors",
      "description": "This dataset is part of the USEEIO v1.1 model release. It provides the elementary flows used in the USEEIO v1.1 Satellite Tables (DOI: 10.23719/1365565) and their matching characterization factors for the various indicators. The indicators are described and categorized. An original mapping file is also provided that shows the correspondence between original source names for resources, emissions, land, etc and USEEIO elementary flows. This dataset supersedes USEEIO Elementary Flows and Life Cycle Impact Assessment (LCIA) Characterization Factors(https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8A87EE76-F047-43E1-A4B3-9D83BAE110C4%7D). It can be exported as a .csv file and used with the exported satellite tables and BEA 2007 Make and Use tables to build USEEIO v1.1 using the IO Model Builder (https://github.com/USEPA/IO-Model-Builder). \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1368541",
      "keyword": [
        "elementary flows",
        "resource use factors",
        "environmental impact factors",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv1.1_ElementaryFlowsLCIAFactors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1368541/USEEIOv1.1_ElementaryFlowsLCIAFactors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-07",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coliphage and adenovirus concentrations at various points along the net-zero system",
      "description": "Coliphage and adenovirus concentrations per liter. \n\nThis dataset is associated with the following publication:\nGassie, L., J. Englehardt, J. Wang, N. Brinkman, J. Garland, P. Gardinali, and T. Guo. Mineralizing urban net-zero water treatment: Phase II field results and design recommendations.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 105: 496-506, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1376692",
      "keyword": [
        "coliphage",
        "adenovirus",
        "net-zero",
        "potable water reuse",
        "advanced oxidation"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "BrinkmanNichole_A-80gm_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376692/BrinkmanNichole_A-80gm_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-20",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.09.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National level POLYSYS data for Hellwinckel et al. (2015): Simulated impact of the renewable fuels standard on US Conservation Reserve Program enrollment and conversion",
      "description": "This is the data of national level land conversions, prices, assumptions, etc., in the POLYSYS runs to estimate the land use change impacts from a growing biofuels industry. The results are discussed in Detail in Hellwinckel et al. (2015): \"Simulated impact of the renewable fuels standard on US Conservation Reserve Program enrollment and conversion.\" Global Change Biology - Bioenergy (2015), doi: 10.1111/gcbb.12281. \n\nThis dataset is associated with the following publication:\nHellwinckel, C., C. Clark , M. Langholtz, L. Eaton, and P. Morefield. Impact of the Renewable Fuels Standard on U.S. Conservation Reserve Program Enrollment and Conversion. GCB Bioenergy. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(1): 245-256, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-31zh-372",
      "keyword": [
        "biofuels",
        "agro-economic modeling",
        "POLYSYS",
        "RFS",
        "Renewable Fuel Standard",
        "land use change",
        "CRP",
        "Conservation Reserve Program"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Data For Science Hub_National level output_AllSimulations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/372/Data%20For%20Science%20Hub_National%20level%20output_AllSimulations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-08-18",
      "references": [
        "https://doi.org/10.1111/gcbb.12281"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gomphid DNA sequence data",
      "description": "DNA sequence data for several genetic loci. This dataset is not publicly accessible because: It's already publicly available on GenBank. It can be accessed through the following means: GenBank/NCBI (http://www.ncbi.nlm.nih.gov/). Accession numbers KX890490-KX891168. Format: This dataset is DNA sequence data. It is available in GenBank. Accession numbers KX890490-KX891168. \n\nThis dataset is associated with the following publication:\nWare, J., E. Pilgrim, M. May, N. Donnelly, and K. Tennessen. Phylogenetic relationships of North American Gomphidae and their close relatives.   Systematic Entomology. John Wiley & Sons, Inc., Hoboken, NJ, USA, 42(2): 347-358, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1377811",
      "keyword": [
        "DNA Barcoding",
        "Odonata",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-15",
      "references": [
        "https://doi.org/10.1111/syen.12218"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO v1.1 - Matrices",
      "description": "This dataset provides the basic building blocks for the USEEIO v1.1 model and life cycle results per $1 (2013 USD) demand for all goods and services in the model in the producer's price (see BEA 2015). The methodology underlying USEEIO is described in Yang, Ingwersen et al., 2017, with updates for v1.1 described in documentation supporting other USEEIO v1.1 datasets. This dataset is in the form of standard matrices. USEEIOv1.1 uses original names for goods and services, to distinguish them from the sector names provided by BEA which reflect industry names and not commodity names, but the BEA codes are maintained. The main model matrices are in green, A, B, and C; the result matrices are in gold, D, L, LCI, and U. Aggregate data quality scores are presented for B, D and U matrices in peach. Data quality scores use the US EPA data quality asssessment system, see US EPA 2016. Aggregated scores are calculated using a flow-weighted average approach as described in Edelen and Ingwersen 2017. \t\n\nReferences\nBEA (2015). Detailed Make and Use Tables in Producer Prices, 2007, Before Redefinitions. Bureau of Economic Analysis. https://www.bea.gov/iTable/index_industry_io.cfm\n\nEdelen, A. and W. Ingwersen (2017). \"The creation, management and use of data quality information for life cycle assessment.\" International Journal of Life Cycle Assessment. http://dx.doi.org/10.1007/s11367-017-1348-1\n\nUS EPA 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data. US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center, Washington, DC. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834\n\nYang, Y., Ingwersen, W. W., Hawkins, T. R., Srocka, M., & Meyer, D. E. (2017). USEEIO: A new and transparent United States environmentally-extended input-output model. Journal of Cleaner Production, 158, 308-318. \nhttp://dx.doi.org/10.1016/j.jclepro.2017.04.150. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1369615",
      "keyword": [
        "life cycle results",
        "total requirements matrix",
        "life cycle impacts",
        "data quality scores",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv1.1_Matrices.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369615/USEEIOv1.1_Matrices.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-14",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Duke Forest Particle Nucleation Data",
      "description": "Particle size distribution expressed as number concentration per size bin. \n\nThis dataset is associated with the following publications:\nPillai, P., V. Aneja, J. Walker , and A. Khlystov. Observation and Analysis of Particle Nucleation at a Forest Site in the Southeast U.S..   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 4(2): 72-93, (2013).\nYu, F., and J. Walker. Spring and summer contrast in new particle formation over nine forest areas in North America.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15(24): 13993-14003, (2105).\nSullivan, R., P. Crippa, A.G. Hallar, L. Clarisse, W.R. Leaitch, J. Walker, A. Khlystov, and S.C. Pryor. Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 121(20): 12217-12235, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1377393",
      "keyword": [
        "particle nucleation"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD_SDH_Particle Nucleation.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377393/ORD_SDH_Particle%20Nucleation.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-26",
      "references": [
        "https://doi.org/10.3390/atmos4020072",
        "https://doi.org/10.5194/acp-15-13993-2015",
        "https://doi.org/10.1002/2016jd025568"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIOv1.1  - Satellite Tables",
      "description": "This dataset supersedes the original 'USEEIO satellite files' dataset (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B49F4F982-C5DB-4A62-878A-DE341A2099B6%7D). See the supporting documentation for a full description of updates to the satellite tables in this release. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1365565",
      "keyword": [
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv1.1SatelliteTables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1365565/USEEIOv1.1SatelliteTables.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-22",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150",
        "https://pasteur.epa.gov/uploads/10.23719/1365565/documents/USEEIOv1.1-DescriptionofSatelliteTableUpdates.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1365565/documents/USEEIO1.0vs1.1.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1365565/documents/USEEIO%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIOv1.1 - openLCA",
      "description": "This is a version of the full USEEIO v1.1 model in the openLCA schema serialized as JSON-LD that can be imported into openLCA software (www.openlca.org) v1.5 and more recent versions. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, T. Hawkins, and D. Meyer. USEEIO: A new and transparent United States environmentally extended input-output model.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 158: 308-318, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1375574",
      "keyword": [
        "USEEIO",
        "EEIO",
        "LCA",
        "input-output data",
        "openLCA",
        "LCI",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv1.1-JSONLD-foropenlca.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375574/USEEIOv1.1-JSONLD-foropenlca.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-15",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2017.04.150",
        "https://pasteur.epa.gov/uploads/10.23719/1375574/documents/USEEIOv1.1_openlca_supportinginformation.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://greendelta.github.io/olca-schema/"
      },
      "accessRights": "public"
    },
    {
      "title": "Arsenic speciation results",
      "description": "Linear combination fitting results of synchrotron data to determine arsenic speciation in soil samples. \n\nThis dataset is associated with the following publication:\nWhitacre, S., N. Basta, B. Stevens, V. Hanley, R. Anderson, and K. Scheckel. Modification of an Existing In vitro Method to Predict Relative Bioavailable Arsenic in Soils.  Jacob de Boer, and Shane Snyder  CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 180: 545-552, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377034",
      "keyword": [
        "Bioaccessibility",
        "metal bioavailability",
        "synchrotron speciation",
        "arsenic",
        "human health risk assessment"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "CAB Method Tables.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377034/CAB%20Method%20Tables.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-08",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.03.134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In situ analyses of Ag speciation in tissues of cucumber and wheat using synchrotron-based X-ray absorption spectroscopy",
      "description": "In situ analyses of Ag speciation in tissues of cucumber and wheat using synchrotron-based X-ray absorption spectroscopy showing spectral fitting and linear combination fitting results. \n\nThis dataset is associated with the following publication:\nWang, P., E. Lombi, S. Sun, K. Scheckel, A. Malysheva, B. McKenna, N. Menzies, F. Zhao, and P. Kopittke. Characterizing the Uptake, Accumulation and Toxicity of Silver Sulfide Nanoparticles in Plants.  Vicki Grassian  Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 4(2): 448-460, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1377039",
      "keyword": [
        "synchrotron speciation",
        "silver nanoparticles",
        "plant uptake"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Ag Speciation Results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377039/Ag%20Speciation%20Results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-03",
      "references": [
        "https://doi.org/10.1039/c6en00489j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Uranium and Iron XRF distribution and Fe speciation results",
      "description": "Dataset 1: XRF image of U and Fe distribution\r\nDataset 2: Fe linear combination fitting data. \n\nThis dataset is associated with the following publication:\nKoster van Groos, P., D. Kaplan, H. Chang, J. Seaman, D. Li, A. Peacock, K. Scheckel , and P. Jaffe. Uranium fate in wetland mesocosms:  Effects of plants at two iron loadings with different pH values.  Jacob de Boer, and Shane Snyder  CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 163: 116-124, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377036",
      "keyword": [
        "synchrotron speciation",
        "uranium",
        "rhizosphere chemistry",
        "wetlands",
        "iron chemistry"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Fe and U distribution image.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377036/Fe%20and%20U%20distribution%20image.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fe LCF Dataset.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377036/Fe%20LCF%20Dataset.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-25",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.08.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pb speciation results in amended soils",
      "description": "The dataset shows the distribution of Pb phases resulting from various amendments to change Pb speciation. \n\nThis dataset is associated with the following publication:\nObrycki, J., K. Scheckel, and N. Basta. Soil solution interactions may limit Pb remediation using P amendments in an urban soil.  David Carpenter, Eddy Zeng  ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 220: 549-556, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377037",
      "keyword": [
        "synchrotron speciation",
        "lead",
        "Bioaccessibility",
        "metal bioavailability",
        "in-situ amendments"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Pb LCF Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377037/Pb%20LCF%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-11",
      "references": [
        "https://doi.org/10.1016/j.envpol.2016.10.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Speciation of ZnO and CuO nanoparticles exposed to culture medium and lymphocyte cells",
      "description": "Spectral fits and linear combination data for ZnO and CuO nanoparticles exposure during toxicity testing. \n\nThis dataset is associated with the following publication:\nIvask, A., K. Scheckel, P. Kapruwan, V. Stone, H. Yin, N. Voelcker, and E. Lombi. Complete transformation of ZnO and CuO nanoparticles in culture medium and lymphocyte cells during toxicity testing.  Prof. Hakan Wallin, and Dr. Alison Elder  Nanotoxicology. Informa Healthcare, London,  UK, 11(2): 150-156, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1377038",
      "keyword": [
        "synchrotron speciation",
        "engineered nanomaterials",
        "ZnO",
        "CuO",
        "toxicity"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Cu speciation results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377038/Cu%20speciation%20results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn speciation results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377038/Zn%20speciation%20results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": [
        "https://doi.org/10.1080/17435390.2017.1282049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata from 12 international groundwater studies: virus and microbial indicator occurrence",
      "description": "This data set contains raw data from 12 international groundwater studies that monitored for human viruses and microbial indicators. Please see the first worksheet for identification of the studies used. \n\nThis dataset is associated with the following publication:\nFout, S., M. Karim, and M. Borchardt. Human virus and microbial indicator occurrence in public-supply groundwater systems: meta-analysis of international studies.   Hydrogeology Journal. Springer, Heidelburg,  GERMANY, 25(0): 903-919, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "A-0p2r-609",
      "keyword": [
        "Contamination",
        "drinking water",
        "enteric virus",
        "microbial indicators"
      ],
      "contactPoint": {
        "fn": "G Fout",
        "hasEmail": "mailto:fout.shay@epa.gov"
      },
      "distribution": [
        {
          "title": "Virus data final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/609/Virus%20data%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-10",
      "references": [
        "https://doi.org/10.1007/s10040-017-1581-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "source files for manuscript in tex format",
      "description": "Source tex files used to create the manuscript including original figure files and raw data used in tables and inline text. \n\nThis dataset is associated with the following publication:\nBeck, M., J. Lehrter, L. Lowe, and B. Jarvis. Parameter sensitivity and identifiability for a biogeochemical model of hypoxia in the northern Gulf of Mexico.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 363: 17-30, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1377812",
      "keyword": [
        "Coastal General Ecosystem Model (CGEM)",
        "Gulf of Mexico (GOM)",
        "Hypoxia",
        "Sensitivity",
        "Identifiability"
      ],
      "contactPoint": {
        "fn": "Marcus Beck",
        "hasEmail": "mailto:beck.marcus@epa.gov"
      },
      "distribution": [
        {
          "title": "source.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377812/source.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2017.08.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tables and figure datasets",
      "description": "Soil and air concentrations of asbestos in Sumas study. \n\nThis dataset is associated with the following publication:\nWroble, J., T. Frederick, A. Frame, and D. Vallero. Comparison of soil sampling and analytical methods for asbestos at the Sumas Mountain Asbestos Site—Working towards a toolbox for better assessment.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(7): e0180210, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378092",
      "keyword": [
        "asbestos",
        "sediment",
        "naturally occurring asbestos",
        "transmission electronic microscopy (TEM)"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "5261809.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378092/5261809.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-31",
      "references": [
        "https://doi.org/10.1371/journal.pone.0180210"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378092/documents/data%20dictionary_ValleroDaniel_A-02vb_SDMP_20170822.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Willis PM 10-2.5 Precision Results, pdf has summary table and SEM images ",
      "description": "Precision data from the SEM and SEM images from the samples. \n\nThis dataset is associated with the following publication:\nPeters, T., E. Sawvel, R. Willis, R. West, and G. Casuccio. Performance of Passive Samplers Analyzed by Computer Controlled Scanning Electron Microscopy to Measure PM10-2.5.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 50(0): 7581-7589, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376844",
      "keyword": [
        "X-ray spectroscopy",
        "PM",
        "passive method",
        "cleveland",
        "microscopy",
        "particulate matter",
        "passive aerosol sampler",
        "single particle analysis"
      ],
      "contactPoint": {
        "fn": "Myriam Medina-Vera",
        "hasEmail": "mailto:medina-vera.myriam@epa.gov"
      },
      "distribution": [
        {
          "title": "Willis_PM10-2.5 figures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376844/Willis_PM10-2.5%20figures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Willis PM 10-2.5 paper Copy of Precision results 11-17-15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376844/Willis%20PM%2010-2.5%20paper%20Copy%20of%20Precision%20results%2011-17-15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data for Effects of an experimental water level drawdown on methane emissions",
      "description": "Time series of methane ebullition rates from 9 sites in Harsha Lake, Ohio, from May - Dec 2015. \n\nThis dataset is associated with the following publication:\nBeaulieu, J., A. Balz, M. Birchfield, J. Harrison, C. Nietch, M. Platz, S. Waldo, J. Walker, K. White, and J. Young. Effects of an experimental water-level drawdown on methane emissions from a eutrophic reservoir.   ECOSYSTEMS. Springer, New York, NY, USA, 21(4): 657-674, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1378469",
      "keyword": [
        "reservoirs",
        "impoundments",
        "water quality",
        "Methane"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "BeaulieuJake_A-k0pk_data.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378469/BeaulieuJake_A-k0pk_data.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1007/s10021-017-0176-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378469/documents/BeaulieuJake_A-k0pk_Metadata.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "biological relevance of reductions of testosterone production on the adverse effects of in utero phthalate combinations",
      "description": "RAW DATA, SAS FILES AND DATA MEANS. \n\nThis dataset is associated with the following publication:\nHowdeshell, K., C. Rider, V. Wilson , J. Furr , C. Lambright , and E. Gray. Dose addition models based on biologically-relevant reductions in fetal testosterone accurately predict postnatal reproductive tract alterations by a phthalate mixture in rats.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    148(2): 488-502, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1377875",
      "keyword": [
        "Phthalates",
        "Mixtures",
        "dose addition",
        "in utero effects on reproductive development",
        "male rat"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "megaphthalate f1 male malf DATA FILE SAS DATA 9 11 2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377875/megaphthalate%20f1%20male%20malf%20DATA%20FILE%20SAS%20DATA%209%2011%202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conolly, R.B., Ankley, G.T., Cheng, WY., Mayo, M.L., Miller, D.H., Perkins, E.J., Villeneuve, D.L., and Watanable, K.H. (2017). Quantitative adverse outcome pathways and their application ot predictive toxicology. Environ. Sci. Technol. 51, 4661–4672",
      "description": "A publised mansucript describing a quantitative adverse outcome pathway (qAOP) and its relevance to risk assessment. This dataset is not publicly accessible because: This work describes computational modeling, not acquisition of laboratory data. It can be accessed through the following means: The mansucript is published in Environmental Science and Technology. Format: This ScienceHub entry is associated with the published manuscript:\r\n\r\nQuantitative Adverse Outcome Pathways and Their Application to\r\nPredictive Toxicology\r\nRory B. Conolly,*,† Gerald T. Ankley,‡ WanYun Cheng,† Michael L. Mayo,§ David H. Miller,∥\r\nEdward J. Perkins,§ Daniel L. Villeneuve,‡ and Karen H. Watanabe⊥\r\n†U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Integrated Systems Toxicology Division, Research Triangle Park, North Carolina 27709, United States\r\n‡U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Mid-Continent Ecology Division, Duluth, Minnesota 55804, United States\r\n§Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, United States\r\n∥U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Mid-Continent Ecology Division, Grosse Isle, Michigan 48138, United States\r\n⊥School of Mathematical and Natural Sciences, Arizona State University, West Campus, Glendale, Arizona 85306, United States\r\n\r\nDOI: 10.1021/acs.est.6b06230\r\nEnviron. Sci. Technol. 2017, 51, 4661−4672. \n\nThis dataset is associated with the following publication:\nConolly, R., G. Ankley, W. Cheng, M. Mayo, D. Miller, E. Perkins, D. Villeneuve, and K. Watanabe. Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(8): 4661-4672, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1378322",
      "keyword": [
        "AOP",
        "qAOP",
        "hazard",
        "Risk",
        "computational model",
        "quantitative AOP",
        "adverse outcome pathway"
      ],
      "contactPoint": {
        "fn": "Rory Conolly",
        "hasEmail": "mailto:conolly.rory@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-29",
      "references": [
        "https://doi.org/10.1021/acs.est.6b06230"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets will not be made accessible to the public due to the fact that they include household level data with PII.",
      "description": "Datasets will not be made accessible to the public due to the fact that they include household level data with PII. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. Format: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. \n\nThis dataset is associated with the following publication:\nFulk , F., E. Haynes, T. Hilbert, D. Brown, D. Petersen , and T. Reponen. Comparison of stationary and personal air sampling with an air dispersion model for children’s ambient exposure to manganese.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  online, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378449",
      "keyword": [
        "Datasets will not be made accessible to the public due to the fact that they include household level data with PII.",
        "manganese",
        "ambient air"
      ],
      "contactPoint": {
        "fn": "Florence Fulk",
        "hasEmail": "mailto:fulk.florence@epa.gov"
      },
      "distribution": [],
      "modified": "2017-08-31",
      "references": [
        "https://doi.org/10.1038/jes.2016.30"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An introduction to joint research by the USEPA and USGS on contaminants of emerging concern in source and treated drinking waters of the United States.",
      "description": "Paper serves as non-technical introduction to series of papers on the same drinking water study. \n\nThis dataset is associated with the following publication:\nKolpin, D., S. Glassmeyer, and E. Furlong. An introduction to joint research by the USEPA and USGS on contaminants of emerging concern in source and treated drinking waters of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 1608–1609, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1378932",
      "keyword": [
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Intro paper team picture.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378932/Intro%20paper%20team%20picture.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.03.052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Flow and Rainfall Data used for SHC Headwatershed SWMM Calibration",
      "description": "Flow and rainfall data collected at the Shayler Crossing (SHC) stream monitoring station at 10 minute intervals over a two month period in 2009. \n\nThis dataset is associated with the following publication:\nLee, J., C. Nietch, and S. Panguluri. Drainage Area Characterization for Evaluating Green Infrastructure using the Storm Water Management Model.   HYDROLOGY AND EARTH SYSTEM SCIENCES. EGS,    22: 2615-2635, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1378947",
      "keyword": [
        "streamflow",
        "Rainfall",
        "Headwatershed scale",
        "Stormwater Modeling",
        "Spatial Discretization",
        "SWMM"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "FlowAndRainfallData_SHC-SWMM_SubcatchmentCharacterizationForGIModelingResearch.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378947/FlowAndRainfallData_SHC-SWMM_SubcatchmentCharacterizationForGIModelingResearch.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.5194/hess-2017-166"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for developing metamodels to assess the fate, transport, and bioaccumulation of organic chemicals in rivers. Chemicals have log Kow ranging from 3 to 14, and rivers have mean annual discharges ranging from 1.09 to 3240 m3/s. ",
      "description": "This dataset was developed to demonstrate how metamodels of high resolution, process-based models that simulate the fate, transport, and bioaccumulation of organic chemicals in rivers can be developed and applied for screening level exposure assessments. Chemicals of concern are assumed to be released from point sources (e.g., wastewater treatment works) and have log n-octanol/water partition coefficients (log Kow) ranging from 3 to 14. The rivers of concern have mean annual discharges ranging from 1.09 to 3240 m3/s. Five existing USEPA models are used to generate the required databases. The Chemical Transformation Simulator (CTS) and the High Throughput Stochastic Human Exposure and Dose Simulation Model (SHEDS-HT) are used to estimate the pchem properties and loading rates of the chemicals of interest, respectively. Using these data, the dissolved and total water concentrations, and total sediment concentrations for each chemical-loading combination in the rivers of interest are simulated using the Exposure Analysis Modeling System (EXAMS). Lastly, the Kow-based Aquatic BioAccumulation Model (KABAM) and the Bioaccumulation and Aquatic System Simulator (BASS) are used to estimate BCFs of periphyton and phytoplankton and BAFs of benthic invertebrates, zooplankton, and fish in the rivers of interest. Using these BCFs and BAFs and EXAMS dissolved water concentrations, expected whole-body concentrations of exposed fish and invertebrates are calculated for each chemical-loading-river combination. \n\nThis dataset is associated with the following publication:\nBarber, C., K. Isaacs, and C. Stevens. Developing and applying metamodels of high resolution process-based simulations for high throughput exposure assessment of organic chemicals in riverine ecosystems.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 605606: 471-481, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1379220",
      "keyword": [
        "integrated modeling",
        "fate and transport",
        "bioaccumulation",
        "Trophic transfer",
        "Brominated flame retardants",
        "BASS",
        "CTS",
        "EXAMS",
        "KABAM",
        "SHEDS-HT"
      ],
      "contactPoint": {
        "fn": "Mahlon Barber",
        "hasEmail": "mailto:barber.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "A-4xh5_EXAMS-KABAM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379220/A-4xh5_EXAMS-KABAM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A-4xh5_BASS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379220/A-4xh5_BASS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.06.198"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1379220/documents/A-4xh5_data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of a Low-Cost Volatile Organic Compound Passive Sampling Method and Laboratory Intercomparison",
      "description": "This project “fenceline Passive Sampler and Sensor Studies” contains information on several related field efforts that examine use of passive sorbent tubes and prototype fenceline sensor technologies near sources of volatile organic compounds, with particular emphasis on the compound benzene.  There are three primary data sets included with multiple journal articles linked to these data sets.  The data sets with metadata and data dictionaries are as follows:\n\nCorpus Christi Passive Sampler Study data set:  Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, benzene data from automated gas chromatograph (TCEQ site), metrological data (TCEQ site).\n\nMultiregional Passive Sampler Study data set:  Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, metrological data (local airports).\n\nPhiladelphia Sensor Studies data sets:  Baseline corrected five-minute time-resolved fenceline sensor (concetrion and wind field) data for (1) alpha version prototype system and (2) beta version prototype system, sampling time periods for utilized sensor deployments, GPS locations of all sensors,  five-minute time-resolved concentration data from co-located optical spectroscopy system (City of Philadelphia Air Measurements Services), metrological data (Philadelphia airport). \n\nThis dataset is associated with the following publications:\nThoma , E., H. Brantley , K. Oliver , D. Whitaker , S. Mukerjee , B. Mitchell , B. Squier , T. Wu , E. Escobar, T. Cousett, C. Gross-Davis , H. Schmidt , D. Sosna, and H. Weiss. South Philadelphia Passive Sampler and Sensor Studies.   JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 66(10): 959-970, (2016).\nMukerjee , S., L. Smith, E. Thoma , K. Oliver , D. Whitaker , T. Wu , and C. Stallings. Spatial analysis of volatile organic compounds in South Philadelphia using passive samplers.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 66(5): 492-498, (2016).\nEisele , A., S. Mukerjee , L. Smith, E. Thoma , D. Whitaker , K. Oliver , T. Wu , M. Colon , L. Alston, T. Cousett, M. Miller , D. Smith , and C. Stallings. Volatile organic compounds at oil and natural gas production well pads in Colorado and Texas using passive samplers.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 66(4): 412-419, (2016).\nOliver, K., T. Cousett, D. Whitaker, L. Smith, S. Mukerjee, C. Stallings, E. Thoma, L. Alston, M. Colon, T. Wu, and S. Henkle. Sample integrity evaluation and EPA Method 325B interlaboratory comparison for select volatile organic compounds collected diffusively on Carbopack X sorbent tubes.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 163: 99-106, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1369030",
      "keyword": [
        "Passive Samplers",
        "Fenceline Monitoring",
        "Sensors",
        "SPod",
        "benzene"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Multiregional Passive Sampler Study Data Set and Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369030/Multiregional%20Passive%20Sampler%20Study%20Data%20Set%20and%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "allReport_11_26_kdo_sorted.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369030/allReport_11_26_kdo_sorted.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Field_Descriptions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369030/Field_Descriptions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Uptake_Rates.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369030/Uptake_Rates.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Molecular_Weights.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369030/Molecular_Weights.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-27",
      "references": [
        "https://doi.org/10.1080/10962247.2016.1184724",
        "https://doi.org/10.1080/10962247.2016.1147505",
        "https://doi.org/10.1080/10962247.2016.1141808",
        "https://doi.org/10.1016/j.atmosenv.2017.05.042"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial raw data for UV-C LED disinfection study",
      "description": "This study evaluated ultraviolet (UV) light emitting diodes (LEDs) emitting at 260 nm, 280 nm, and the combination of 260|280 nm together for their efficacy at inactivating Escherichia. coli, MS2 coliphage, human adenovirus type 2 (HAdV2), and Bacillus pumilus spores; research included an evaluation of genomic damage. Inactivation by the LEDs was compared with the efficacy of conventional UV sources, the low-pressure (LP) and medium-pressure (MP) mercury vapor lamps. The work also calculated the electrical energy per order of reduction of the microorganisms by the five UV sources.For E. coli, all five UV sources yielded similar inactivation rates. For MS2 coliphage, the 260 nm LED was most effective. For HAdV2 and B. pumilus, the MP UV lamp was significantly more effective than the LP UV and UVC LED sources. When considering electrical energy per order of reduction, the LP UV lamp was the most efficient for E. coli and MS2, and the MPUV and LPUV were equally efficient for HAdV2 and B. pumilus spores. Among the UVC LEDs, the 280 nm LED unit required the least energy per log reduction of E. coli and HAdV2. The 280 nm and 260|280 nm LED units were equally efficient per log reduction of B. pumilus spores, and the 260 nm LED unit required the lowest energy per order of reduction of MS2 coliphage. The combination of the 260 nm and 280 nm UV LED wavelengths was also evaluated for potential synergistic effects. No dual-wavelength synergy was detected for inactivation of all four microorganisms, nor for DNA/RNA damage. \n\nThis dataset is associated with the following publication:\nBeck, S., H. Ryu, L. Boczek, J. Cashdollar, K. Jeanis, J. Rosenblum, O. Lawal, and K. Linden. Evaluating UV-C LED disinfection performance and investigating potential dual-wavelength synergy.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 109: 207-216, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379484",
      "keyword": [
        "Combined Wavelengths",
        "Electrical Energy per Order",
        "Human Adenovirus type 2",
        "Bacillus pumilus spores",
        "Nucleic Acid Damage"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Adenovirus_UV LED_ICC-qPCR and quantal results.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379484/Adenovirus_UV%20LED_ICC-qPCR%20and%20quantal%20results.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Adenovirus_UV LED_MPN data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379484/Adenovirus_UV%20LED_MPN%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bacillus pumilus spore_UV LED.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379484/Bacillus%20pumilus%20spore_UV%20LED.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.11.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The effectiveness of Light Rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling",
      "description": "Dataset is comprised of a series of journal publications  (in pdf form) that use system dynamics modeling to analyze the interactions among transportation, land use, economy and resources (water, energy) to yield sustainability outcomes, with a focus on achieving energy sustainability goals. In particular, the paper analyzes the tradeoffs and cumulative impacts of energy use across building and transportation types under a range of transportation and land use scenarios. In addition to the articles themselves, the dataset includes figures from the articles and a link to the model documentation, as well as tabular sources of input and calibration data and the full set of model output data. \n\nThis dataset is associated with the following publication:\nProcter, A., A. Bassi, J. Kolling, L. Cox, N. Flanders, N. Tanners, and R. Araujo. The effectiveness of Light Rail transit in achieving regional CO2 emissions targets is linked to building energy use: insights from system dynamics modeling.   CLEAN TECHNOLOGIES ENVIRONMENTAL POLICY. Springer, New York, NY, USA, 19(5): 1459-1474, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377842",
      "keyword": [
        "energy",
        "emissions",
        "buildings",
        "integrated approaches",
        "sustainability",
        "light rail"
      ],
      "contactPoint": {
        "fn": "Rochelle Araujo",
        "hasEmail": "mailto:araujo.rochelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Procter et al. 2017_The effectiveness of light rail transit.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377842/Procter%20et%20al.%202017_The%20effectiveness%20of%20light%20rail%20transit.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Procter_Figures for Energy Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377842/Procter_Figures%20for%20Energy%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "D-O LRP SD Model Documentation Appendix B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377842/D-O%20LRP%20SD%20Model%20Documentation%20Appendix%20B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "D-O LRP Model_Base Scenario Outputs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377842/D-O%20LRP%20Model_Base%20Scenario%20Outputs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Historical and Projected Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377842/Historical%20and%20Projected%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=310977",
          "accessURL": "https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=310977",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-22",
      "references": [
        "https://doi.org/10.1007/s10098-017-1343-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Newton Decatur AL water sample polyfluor compound discovery",
      "description": "All the pertinent information for recreation of the published (hopefully) tables and figures. \n\nThis dataset is associated with the following publication:\nNewton, S., R. McMahen, J. Stoeckel, M. Chislock, A. Lindstrom, and M. Strynar. Novel Polyfluorinated Compounds Identified Using High Resolution Mass Spectrometry Downstream of Manufacturing Facilities near Decatur, Alabama.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(3): 1544-1552, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1375406",
      "keyword": [
        "non-targeted analysis",
        "per and polyfluorinated",
        "time of flight mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Newton Sciencehub entry data 161003.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375406/Newton%20Sciencehub%20entry%20data%20161003.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-04",
      "references": [
        "https://doi.org/10.1021/acs.est.6b05330"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Haw River PFCs Data Set",
      "description": "PFAS concentrations in river and drinking water in and around the Haw River in North Carolina. \n\nThis dataset is associated with the following publication:\nSun, M., E. Arevalo, M. Strynar, A. Lindstrom, M. Richardson, B. Kearns, A. Pickett, C. Smith, and D.R.U. Knappe. Legacy and Emerging Perfluoroalkyl Substances Are Important Drinking Water Contaminants in the Cape Fear River Watershed of North Carolina.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 3(12): 415-419, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1375404",
      "keyword": [
        "Watershed",
        "water treatment",
        "occurrence and fate",
        "perfluoroalkyl",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Andrew Lindstrom",
        "hasEmail": "mailto:lindstrom.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "ES-TL figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375404/ES-TL%20figures.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mass flow.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375404/mass%20flow.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "adsorption kinetics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375404/adsorption%20kinetics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2016-09-22",
      "references": [
        "https://doi.org/10.1021/acs.estlett.6b00398"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolomics for Informing Adverse Outcome Pathways: Androgen Receptor Activation and the Pharmaceutical Spironolactone",
      "description": "Metabolite Input Files for Determining Biochemical Pathways Impacted by Spironolactone Exposures of Fathead Minnows (Pimephales promelas) Using the Mummichog Software package. \n\nThis dataset is associated with the following publication:\nDavis, J., D. Skelton, D. Ekman, C. LaLone, G. Ankley, G. Ankley, J. Cavallin, D. Villeneuve, and T. Collette. Metabolomics for Informing Adverse Outcome Pathways: Androgen Receptor Activation and the Pharmaceutical Spironolactone.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 184(0): 103-115, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1378557",
      "keyword": [
        "spironolactone",
        "AOPs",
        "Mummichog",
        "mass spectrometry",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Davis et al. 2017_Input Files.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378557/Davis%20et%20al.%202017_Input%20Files.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2017.01.001"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
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        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378557/documents/Data%20Dictionary%20for%20Davis%20et%20al.%202017_Input%20File.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "UCMR3 data",
      "description": "Zipped UCMR3 data. \n\nThis dataset is associated with the following publication:\nHU, X., D. Andrews, T. Bruton, A. Lindstrom, L.  Schaider, P. Grandjean, R. Lohmann, C. Carignan, A. Blum, S. Balan, E. Sunderland, and C. Higgins. Detection of Poly- and Perfluoroalkyl Substances (PFASs) in U.S. Dinking Water: Linked to Industrial Sites, Military fire Training Areas and Wastewater Treatment Plants.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 3(0): 344-350, (2017).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1380229",
      "keyword": [
        "PFOS",
        "PFOA",
        "PFNA",
        "PFHxS",
        "Polyfluorinated Alkyl Substances (PFAS)",
        "UCMR3"
      ],
      "contactPoint": {
        "fn": "Andrew Lindstrom",
        "hasEmail": "mailto:lindstrom.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/dwucmr/occurrence-data-unregulated-contaminant-monitoring-rule#3",
          "accessURL": "https://www.epa.gov/dwucmr/occurrence-data-unregulated-contaminant-monitoring-rule#3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": null,
      "publisher": {
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        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro bioaccessibility of copper azole following simulated dermal transfer from pressure-treated wood",
      "description": "In vitro bioaccessibility of copper azole following simulated dermal transfer from pressure-treated wood. \n\nThis dataset is associated with the following publication:\nGriggs, J., K. Rogers, C. Nelson, T. Luxton, W. Platten, and K. Bradham. In vitro bioaccessibility of copper azole following simulated dermal transfer from pressure-treated wood.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 598: 413–420, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1380225",
      "keyword": [
        "Bioaccessibility",
        "Human Exposure",
        "Micronized Copper",
        "stomach fluid",
        "wood preservative"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "A-w0wk_JGriggs Data for science hub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380225/A-w0wk_JGriggs%20Data%20for%20science%20hub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.03.227"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluorinated Compounds in U.S. Fast Food Packaging",
      "description": "Paper samples, paper extracts (known), paper extracts (unknown). \n\nThis dataset is associated with the following publication:\nSchaider, L., S. Balan, A. Blum, D. Andrews, M. Strynar, M. Dickinson, D. Lunderberg, J. Lang, and G. Peaslee. Fluorinated Compounds in U.S. Fast Food Packaging.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 4(3): 105–111, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1380227",
      "keyword": [
        "polyfluorinated compounds",
        "paper board",
        "food contact",
        "fluorinated",
        "food contact packaging",
        "non-targeted analysis",
        "polyfluorinated"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "10-3-16 Paper samples for PFAS extraction.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380227/10-3-16%20Paper%20samples%20for%20PFAS%20extraction.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "10-14-16 paper extracts known PFAS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380227/10-14-16%20paper%20extracts%20known%20PFAS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "10-19-16 paper extracts unknowns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380227/10-19-16%20paper%20extracts%20unknowns.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1021/acs.estlett.6b00435"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transitions for fipronil quant in surface water, Summary of Current Fipronil Water Data and Water Data for WWTPs",
      "description": "Comparison of fipronil sources in North Carolina surface water and identification of a novel fipronil transformation product in recycled wastewater. \n\nThis dataset is associated with the following publication:\nMcMahen, R.L., M. Strynar , L. McMillan, E. DeRose, and A. Lindstrom. Comparison of fipronil sources in North Carolina surface water and identification of a novel fipronil transformation product in recycled wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 569570: 880-887, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1380228",
      "keyword": [
        "water reuse",
        "novel transformation products",
        "biomarker of exposure",
        "fipronil",
        "pesticide",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "4-23-2015 transitions for fipronil quant in surface water on acuity.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380228/4-23-2015%20transitions%20for%20fipronil%20quant%20in%20surface%20water%20on%20acuity.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "7-25-14 Summary of current fipronil water data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380228/7-25-14%20Summary%20of%20current%20fipronil%20water%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "8-7-14 Summary of current fipronil water data for WWTPs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380228/8-7-14%20Summary%20of%20current%20fipronil%20water%20data%20for%20WWTPs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.05.085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ingestion of swimming pool water by recreational",
      "description": "Swimming pool water ingestion data. \n\nThis dataset is associated with the following publication:\nDufour, A., L. Wymer, M. Magnuson, T. Behymer, and R. Cantu. Ingestion of Swimming Pool Water by Recreational Swimmers.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 15(3): 1-10, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378318",
      "keyword": [
        "cyanuric acid",
        "swimming",
        "water ingestion",
        "water"
      ],
      "contactPoint": {
        "fn": "Alfred Dufour",
        "hasEmail": "mailto:dufour.alfred@epa.gov"
      },
      "distribution": [
        {
          "title": "Ingestion Data Final_include TIW_last_ (002).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378318/Ingestion%20Data%20Final_include%20TIW_last_%20%28002%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2002-07-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Arsenic Speciation in US Consumed Rice with an Emphasis on Bioaccessiblity and the Exposure Assessment Implications Dataset",
      "description": "Arsenic Speciation in US Consumed Rice with an Emphasis on Bioaccessiblity and the Exposure Assessment Implications. \n\nThis dataset is associated with the following publication:\nMantha, M., E. Yeary, J. Trent, P. Creed , K. Kubachka, T. Hanley, N. Ahockey, D. Heitkemper, J. Caruso, J. Xue , G. Rice , L. Wymer , and J. Creed. Journal Article-\"Estimating Inorganic Arsenic Exposure from\r\n\t\tU.S.Rice and Total Water Intakes\".   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(5): 1-10, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389260",
      "keyword": [
        "arsenic",
        "rice",
        "ICP-MS",
        "Speciation",
        "drinking water",
        "Exposure Assessment",
        "inorganic arsenic"
      ],
      "contactPoint": {
        "fn": "John Creed",
        "hasEmail": "mailto:creed.jack@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Figure 2 Drinking Water Utility vs rice.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389260/Data%20for%20Figure%202%20Drinking%20Water%20Utility%20vs%20rice.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Table S6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389260/Data%20for%20Table%20S6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Table S7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389260/Data%20for%20Table%20S7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Table S8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389260/Data%20for%20Table%20S8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 with data 5-15-13.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389260/Figure%202%20with%20data%205-15-13.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-27",
      "references": [
        "https://doi.org/10.1289/ehp418"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global Mercury Observation System (GMOS) surface observation data.",
      "description": "GMOS global surface elemental mercury (Hg0) observations from  2013 & 2014. \n\nThis dataset is associated with the following publication:\nSprovieri, F., N. Pirrone, M. Bencardino, F. D'Amore, F. Carbone, S. Cinnirella, V. Mannarino, M. Landis, R. Ebinghus, A. Weigelt, E. Brunke, C. Labuschagne, L. Martin, J. Munthe, I. Wangberg, P. Artaxo, F. Morais, W. Cairns, C. Barbante, M.d.C. Dieguez, P.E. Garcia, A. Dommergue, H. Angot, O. Magand, H. Skov, M. Horvat, J. Kotnik, K.A. Read, L. Mendes Neves, B. Manfred Gawlik, F. Sena, V. Arckadievich Obolkin, D. Wip, X.B. Feng, H. Zhang, X. Fu, N. Mashyanov, R. Ramachandran, D. Cossa, J. Knoery, N. Marusczak, M. Nerentrorp, and C. Norstrom. Atmospheric Mercury Concentrations Observed at Ground-Based Monitoring Sites Globally Distributed in the Framework of the GMOS Network.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16(0): 11915-11935, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1379479",
      "keyword": [
        "Elemental Gaseous Mercury",
        "Global Observation System",
        "Tekran 2537"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Yearly Statistics 2013&2014.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379479/Yearly%20Statistics%202013%262014.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Monthly Statistics 2013&2014.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379479/Monthly%20Statistics%202013%262014.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dearborn GC-MS organic speciation data  ",
      "description": "Ambient particulate matter organic speciation data from July - August, 2011. \n\nThis dataset is associated with the following publication:\nLynam, M., T. Dvonch, J. Turlington, D. Olson, and M. Landis. Combustion-Related Organic Species in Temporally Resolved Urban Airborne Particulate Matter.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 0(0): 1-33, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1379480",
      "keyword": [
        "particulate matter",
        "PAH",
        "Hopane",
        "Point source",
        "Mobile source",
        "Urban environment"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Dearborn_organic_speciation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379480/Dearborn_organic_speciation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-01",
      "references": [
        "https://doi.org/10.1007/s11869-017-0482-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Puerto Rico Above Ground Biomass Map, 2000",
      "description": "This image dataset details the U.S. Commonwealth of Puerto Rico above-ground forest biomass (AGB) (baseline 2000) developed by the United States (US) Environmental Protection Agency (EPA). The USEPA AGB product (15 m) was created to support the development of landscape watershed predictor metrics for sediment and nutrient loadings associated with stream reaches. Above-ground forest biomass was estimated at a 15 m spatial resolution implementing methodology first posited by the Woods Hole Research Center where they developed the National Biomass and Carbon Dataset (NBCD2000) ─ an above-ground forest biomass map (30 m) for the conterminous United States. For EPA’s effort, spatial predictor layers for AGB estimation included derived products from the United States Geologic Survey (USGS) National Land Cover Dataset 2001 (NLCD) cover type and tree canopy density data, the USGS Gap Analysis Program (GAP) forest type classification data, USGS National Elevation Dataset (NED) topographic data, and the National Aeronautical and Space Administration’s (NASA’s) Shuttle Radar Topography Mission (SRTM) tree height data. These predictor variables and Forest Inventory and Analysis (FIA) response variables (observed canopy height and AGB) were related through multivariate tree-based regression models. Units for this AGB map are in Mg/ha for each 15m pixel. Mean biomass (forest only) for the 15 m pixels was 72.59 Mg/ha (σ = 26.83). This estimate is close in agreement to an assessment of structure and condition of PR forests (2003) (Brandeis, 2006) where mean AGB was estimated at 80 Mg/ha. \r\n\r\nBrandeis, T.J., M.B. Delaney, R. Parresol, L. Royer, 2006. Development of equations for predicting Puerto Rican subtropical dry forest biomass and volume, Forest Ecology and Management, 233:133-142. This dataset is not publicly accessible because: This data exceeds one GB in size and cannot be stored directly on ScienceHub. It can be accessed through the following means: ftp://newftp.epa.gov/Exposure/A-tqkc/. Format: This dataset is in an ERDAS Imagine *.img format which is easily converted to other formats in software packages such as ESRI ArcMap. \n\nThis dataset is associated with the following publication:\nIiames , J., J. Riegel, and R. Lunetta. The Development and Evaluation of a High-Resolution Above Ground Biomass Product for the Commonwealth of Puerto Rico (2000).   Ecosystem Services. Elsevier Online, New York, NY, USA, 83(4): 293-306, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1389273",
      "keyword": [
        "Puerto Rico",
        "Forests",
        "Aboveground biomass",
        "Shuttle",
        "radar",
        "MODIS"
      ],
      "contactPoint": {
        "fn": "John Iiames",
        "hasEmail": "mailto:iiames.john@epa.gov"
      },
      "distribution": [],
      "modified": "2012-12-20",
      "references": [
        "https://doi.org/10.14358/pers.83.4.293"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1389273/documents/DataDictionary_PRUSVI.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Global Mercury Observation System (GMOS) surface observation data from around the world.",
      "description": "GMOS Network Data. This dataset is associated with the following publication:\nDe Simone, F., P. Artaxo, M. Bencardino, S. Cinnirella, F. Carbone, F. D'Amore, A. Dommergue, X. Bin Feng, C. Gencarelli, I. Hedgecock, M. Landis, F. Sprovieri, N. Suzuki, I. Wangberg, and N. Pirrone. Particulate-phase mercury emissions from biomass burning and impact on resulting deposition: a modelling assessment.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 1881-1899, (2017). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1379481",
      "keyword": [
        "Particulate Phase Mercury",
        "Wildland Fire",
        "Global Fire Emissions Database",
        "ECHMERIT",
        "MOZART"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2016-07-29",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainable pathway to furanics from biomass via heterogeneous organo-catalysis",
      "description": "Electronic supplementary information provides all the data. \n\nThis dataset is associated with the following publication:\nVarma, R., M. Nadagouda, S. Verma, R.B.N. Baig, and C. Len. Sustainable pathway to furanics from biomass via heterogeneous organo-catalysis.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19(1): 164-168, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389321",
      "keyword": [
        "Sustainable pathway",
        "Heterogeneous catalysis",
        "biomass",
        "Furonics",
        "heterogeneous",
        "Organocatalysis"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.rsc.org/en/content/articlehtml/2017/gc/c6gc02551j",
          "accessURL": "https://pubs.rsc.org/en/content/articlehtml/2017/gc/c6gc02551j",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-13",
      "references": [
        "https://doi.org/10.1039/c6gc02551j",
        "https://www.rsc.org/suppdata/c6/gc/c6gc02551j/c6gc02551j1.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Photocatalytic oxidation of aromatic amines using MnO2@g-C3N4",
      "description": "An efficient and direct oxidation of aromatic amines to aromatic azo-compounds has been achieved using a MnO2@g-C3N4 catalyst under visible light as a source of energy at room temperature. \n\nThis dataset is associated with the following publication:\nVerma, S., and R. Varma. Photocatalytic oxidation of aromatic amines using MnO2@g-C3N4.   Advanced Materials Letters. VBRI Press,   SWEDEN, 8(7): 754-758, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389322",
      "keyword": [
        "Graphitic carbon nitride",
        "manganese dioxide",
        "aromatic azo-compounds",
        "photo-catalyst",
        "Heterogeneous catalysis"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "Adv. Mater. Letters- Vol. 8 pp754-756 (2017)-Photocat. Oxdn. of Aromatic Amines using MnO2@g-C3N4.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389322/Adv.%20Mater.%20Letters-%20Vol.%208%20pp754-756%20%282017%29-Photocat.%20Oxdn.%20of%20Aromatic%20Amines%20using%20MnO2%40g-C3N4.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-07",
      "references": [
        "https://doi.org/10.5185/amlett.2017.1453",
        "https://www.vbripress.com/aml/volumes/issusenavigation/8/7/July",
        "https://pasteur.epa.gov/uploads/10.23719/1389322/documents/Supporting%20Information-Advanced%20Materials%20Letters.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1389322/documents/Adv.%20Mater.%20Letters-%20Vol.%208%20pp754-756%20%282017%29-Photocat.%20Oxdn.%20of%20Aromatic%20Amines%20using%20MnO2%40g-C3N4.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Photocatalytic C-H activation of Hydrocarbons over VO@g-C3N4",
      "description": "A highly selective and sustainable method has been developed for the oxidation of methyl arenes and their analogues. The VO@g-C3N4 catalyst is very efficient in the C-H activation and oxygen insertion reaction resulting in formation of the corresponding carbonyl compounds and phenols. \n\nThis dataset is associated with the following publication:\nVerms, S., R.B.N. Baig, M. Nadagouda, and R. Varma. Photocatalytic C–H Activation of Hydrocarbons over VO@g-C3N4.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 4(4): 2333-2336, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389542",
      "keyword": [
        "Graphitic carbon nitride",
        "Heterogeneous catalysis",
        "photo-catalyst",
        "Vanadium oxide",
        "C-H Activation"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.6b00006",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.6b00006",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-13",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.6b00006",
        "https://pubs.acs.org/doi/abs/10.1021/acssuschemeng.6b00006",
        "https://pasteur.epa.gov/uploads/10.23719/1389542/documents/sc-2016-00006k-Re-Revised%20Supplementary%20Information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydroxylation of Benzene via C-H Activation Using Bimetallic CuAg@g-C3N4",
      "description": "Bimetallic CuAg@g-C3N4 catalyst system has been designed and synthesized by impregnating copper and silver nanoparticles over the graphitic carbon nitride surface. Its application has been demonstrated in the hydroxylation of benzene under visible light. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, M. Nadagouda, and R. Varma. Hydroxylation of Benzene via C-H Activation Using Bimetallic CuAg@g-C3N4.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 5(5): 3637-3640, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389543",
      "keyword": [
        "Graphitic carbon nitride",
        "Bimetallic heterogeneous catalyst",
        "Hydroxylation of benzene",
        "Visible light",
        "C-H Activation"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/abs/10.1021/acssuschemeng.7b00772",
          "accessURL": "https://pubs.acs.org/doi/abs/10.1021/acssuschemeng.7b00772",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-16",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.7b00772",
        "https://pubs.acs.org/doi/abs/10.1021/acssuschemeng.7b00772",
        "https://pasteur.epa.gov/uploads/10.23719/1389543/documents/sc-2017-007729.R1-Supporting%20Information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fixation of carbon dioxide into dimethyl carbonate over titanium-based zeolitic thiophene-benzimidazolate framework",
      "description": "A titanium-based zeolitic thiophene-benzimidazolate framework has been designed for the direct synthesis of dimethyl carbonate (DMC) from methanol and carbon dioxide. The developed catalyst activates carbon dioxide and delivers over 16% yield of DMC without the use of any dehydrating agent or requirement for azeotropic distillation. \n\nThis dataset is associated with the following publication:\nVarma, R., M. Nadagouda, S. Verma, and R.B.N. Baig. Fixation of carbon dioxide into dimethyl carbonate over titanium-based zeolitic thiophene-benzimidazolate framework.   Scientific Reports. Nature Publishing Group, London,  UK, issue}: 655, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389544",
      "keyword": [
        "carbon dioxide",
        "dimethyl carbonate",
        "titanium-based",
        "zeolitic thiophene-benzimidazolate framework"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nature.com/articles/s41598-017-00736-1",
          "accessURL": "https://www.nature.com/articles/s41598-017-00736-1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-16",
      "references": [
        "https://doi.org/10.1038/s41598-017-00736-1",
        "https://www.nature.com/articles/s41598-017-00736-1",
        "https://pasteur.epa.gov/uploads/10.23719/1389544/documents/SREP-16-53348-Supporting%20Information.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A sustainable approach to empower the bio-based future: upgrading of biomass via process intensification",
      "description": "An economically viable and environmentally benign continuous flow intensified process has been developed that demonstrates its ability to upgrade biomass into potential biofuels, solvents, and pharmaceutical feedstocks using a bimetallic AgPd@g-C3N4 catalyst. \n\nThis dataset is associated with the following publication:\nVarma, R., M. Gonzalez, S. Verma, and K. Tadele. A sustainable approach to empower the bio-based future: upgrading of biomass via process intensification.   GREEN CHEMISTRY. Royal Society of Chemistry, Cambridge,  UK, 19(7): 1624-1627, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389545",
      "keyword": [
        "Graphitic carbon nitride",
        "biomass",
        "bio-based future",
        "process intensification",
        "sustainable"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.rsc.org/en/content/articlelanding/2017/gc/c6gc03568j#!divAbstract",
          "accessURL": "https://pubs.rsc.org/en/content/articlelanding/2017/gc/c6gc03568j#!divAbstract",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-25",
      "references": [
        "https://doi.org/10.1039/c6gc03568j",
        "https://www.rsc.org/suppdata/c6/gc/c6gc03568j/c6gc03568j1.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "European Centre for Medium-Range Weather Forecasts",
      "description": "Global sea surface temperature (SST) anomalies can affect terrestrial precipitation via ocean-atmosphere interaction known as climate teleconnection. Non-stationary and non-linear characteristics of the ocean-atmosphere system make the identification of the teleconnection signals difficult to be detected at a local scale as it could cause large uncertainties when using linear correlation analysis only. This paper explores the relationship between global SST and terrestrial precipitation with respect to long-term non-stationary teleconnection signals during 1981-2010 over three regions in North America and one in Central America. Empirical mode decomposition as well as wavelet analysis is utilized to extract the intrinsic trend and the dominant oscillation of the SST and precipitation time series in sequence.  After finding possible associations between the dominant oscillation of seasonal precipitation and global SST through lagged correlation analysis, the statistically significant SST regions are extracted based on the correlation coefficient. With these characterized associations, individual contribution of these SST forcing regions linked to the related precipitation responses are further quantified through nonlinear modeling with the aid of extreme learning machine. Results indicate that the non-leading SST regions also contribute a salient portion to the terrestrial precipitation variability compared to some known leading SST regions. In some cases, these estimated contributions reveals some clues of the coupling interactions between oceanic and atmospheric processes. \n\nThis dataset is associated with the following publication:\nChang, N., S. Imen, K. Bai, and J. Yang. Multi-scale Quantitative Precipitation Forecasting Using Nonlinear and Nonstationary Teleconnection Signals and Artificial Neural Network Models.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 548: 305-321, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1389860",
      "keyword": [
        "Sea Surface Temperature",
        "climate change",
        "precipitation",
        "Teleconnection",
        "north america",
        "Central America."
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.esrl.noaa.gov/psd/data/gridded/data.gpcc.html",
          "accessURL": "https://www.esrl.noaa.gov/psd/data/gridded/data.gpcc.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-15",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2017.03.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Domestic Cats as Sentinels for Perfluoroalkyl Substances",
      "description": "Legacy PFC work.  Data stored in Phillip Bost’s Lab Notebook #1778; Room D286 (Lindstrom) RTP, NC EPA office. \n\nThis dataset is associated with the following publication:\nBost, P., M. Strynar, J. Reiner, J. Zweigenbaum, P. Secoura, A. Lindstrom, and J. Dye. U.S. Domestic Cats as Sentinels for Perfluoroalkyl Substances: Associations with Housing, Obesity and Chronic Disease.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 151(0): 145-153, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390061",
      "keyword": [
        "perfluorinated",
        "cats",
        "obesity",
        "perfluorohexane  sulfonate",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "A-rfjw_Dataset Information Document.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390061/A-rfjw_Dataset%20Information%20Document.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2008-01-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hall et al., 2016 Artificial Turf Surrogate Surface Methods Paper Data File",
      "description": "Mercury dry deposition data quantified via static water surrogate surface (SWSS) and artificial turf surrogate surface (ATSS) collectors. \n\nThis dataset is associated with the following publication:\nHall, N., T. Dvonch, F. Marsik, J. Barres, and M. Landis. An Artificial Turf-Based Surrogate Surface Collector for the Direct Measurement of Atmospheric Mercury Dry Deposition.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 14(2): 173, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390063",
      "keyword": [
        "mercury",
        "Dry Deposition",
        "surrogate surface",
        "turf"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "turf_paper_data_science_hub_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390063/turf_paper_data_science_hub_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-25",
      "references": [
        "https://doi.org/10.3390/ijerph14020173"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CFD Model Data",
      "description": "Data associated with the development of the CFD model for spore deposition in respiratory systems of rabbits and humans. \n\nThis dataset is associated with the following publication:\nKabilan, S., K. Recknagle, R. Jacob, D. Einstein, A. Kuprat, J. Carson, S. Colby, J. Saunders, S. Hines, J. Teeguarden, S. Taft , and R. Corley. Computational Fluid Dynamics Modeling of Bacillus anthracis Spore Deposition in Rabbit and Human Respiratory Airways  [HS4.44.02].   JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA,  14, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1377593",
      "keyword": [
        "Bacillus anthracis",
        "Three-dimensional computational fluid dynamics  model",
        "Lagrangian particle deposition models",
        "rabbit",
        "human",
        "spore deposition"
      ],
      "contactPoint": {
        "fn": "Sarah Taft",
        "hasEmail": "mailto:taft.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_CFD_Model.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377593/Data_CFD_Model.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Human Deposition Calculations_Kabilan.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377593/Human%20Deposition%20Calculations_Kabilan.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rabbit Deposition Calculations_HIGH_Kabilan.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377593/Rabbit%20Deposition%20Calculations_HIGH_Kabilan.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rabbit Deposition Calculations_LOW_Kabilan.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377593/Rabbit%20Deposition%20Calculations_LOW_Kabilan.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/33311732/",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/33311732/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-09-01",
      "references": [
        "https://doi.org/10.1016/j.jaerosci.2016.01.011",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731948",
        "https://pasteur.epa.gov/uploads/10.23719/1377593/documents/Supporting%20information%20for%20model_Kabilan.docx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Estimates of reservoir methane emissions based on a spatially balanced probabilistic-survey\"",
      "description": "Measured diffusive and ebullitive methane emission rates from 115 sites in William H Harsha Lake.  File also contains fields required for GRTS analysis. \n\nThis dataset is associated with the following publication:\nBeaulieu , J., M. McManus , and C. Nietch. Estimates of reservoir methane emissions based on a spatially balanced probabilistic-survey.   LIMNOLOGY AND OCEANOGRAPHY. American Society of Limnology and Oceanography, Lawrence, KS, USA, 61(1): S27-S40, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390077",
      "keyword": [
        "GRTS",
        "ebullition",
        "diffusion",
        "reservoir",
        "Methane",
        "harsha lake",
        "greenhouse gas inventory"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "scienceHubScID-A-vx17.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390077/scienceHubScID-A-vx17.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-01",
      "references": [
        "https://doi.org/10.1002/lno.10284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Inactivation Data.xlsx",
      "description": "The data set is a spreadsheet that contains results of inactivation experiments that were conducted to to determine the effectiveness of chlorine in inactivating B. anthracis spore surrogates in wash waters similar to waters that would be generated during building decontamination activities. \n\nThis dataset is associated with the following publication:\nGallardo, V., D. Schupp, J. Heckman, R. Krishnan, and E. Rice. Inactivation of Bacillus Spores in Wash Waters Using Dilute Chlorine Bleach Solutions at Different Temperatures and pH Levels.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA,  1-36, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390123",
      "keyword": [
        "Indoor outdoor decontamination",
        "biological",
        "water treatment",
        "anthrax",
        "Bacillus",
        "inactivation",
        "wastewater",
        "wash water",
        "hypochlorite",
        "bleach",
        "Chlorine"
      ],
      "contactPoint": {
        "fn": "Vicente Gallardo",
        "hasEmail": "mailto:gallardo.vincente@epa.gov"
      },
      "distribution": [
        {
          "title": "Inactivation Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390123/Inactivation%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-06",
      "references": [
        "https://doi.org/10.2175/106143017x14902968254719"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390123/documents/Data%20Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Chronic Exposure to Triclosan on Reproductive and Thyroid Endpoints in the Adult Wistar Female Rat",
      "description": "This dataset includes the results of a long term adult female rat oral exposure to triclosan and includes hormone, estrous cyclicity, thyroid histology and liver gene expression data. \n\nThis dataset is associated with the following publication:\nLouis, G., D. Hallinger, J. Braxton, A. Kamel, and T. Stoker. Effects of Chronic Exposure to Triclosan on Reproductive and Thyroid Endpoints in the Adult Wistar Female Rat.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. Taylor & Francis, Inc., Philadelphia, PA, USA,  236-249, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390129",
      "keyword": [
        "Estrous cyclicity",
        "thyroid",
        "Triclosan",
        "endocrine"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "Final Triclosan Paper for Sciencehub4.3.17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390129/Final%20Triclosan%20Paper%20for%20Sciencehub4.3.17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-31",
      "references": [
        "https://doi.org/10.1080/15287394.2017.1287029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Health Screening and Public Health Significance of Contaminants of Emerging Concern Detected in Public Water Supplies",
      "description": "Background information for human health margin of exposure paper. \n\nThis dataset is associated with the following publication:\nBenson , B., O. Conerly , W. Sander, A. Batt , E. Furlong, S. Glassmeyer , D. Koplin, H. Mash , K. Schenck , J. Simmons , and S. Boone. Human Health Screening and Public Health Significance of Contaminants of Emerging Concern Detected in Public Water Supplies.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 1643-1648, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390158",
      "keyword": [
        "margin of exposure",
        "human health",
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Data Summary MOE by DWTP- Overall.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390158/Copy%20of%20Data%20Summary%20MOE%20by%20DWTP-%20Overall.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.03.146"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting Thermal Behavior of Secondary Organic Aerosols",
      "description": "Volume concentrations of secondary organic aerosol (SOA) are measured in 139 steady-state, single precursor hydrocarbon oxidation experiments after passing through a temperature controlled inlet. The response to change in temperature is well predicted through a feedforward Artificial Neural Network. The most parsimonious model, as indicated by Akaike’s Information Criterion, Corrected (AIC,C), utilizes 11 input variables, a single hidden layer of 4 tanh activation function nodes, and a single linear output function. This model predicts thermal behavior of single precursor aerosols to less than ± 5%, which is within the measurement uncertainty, while limiting the problem of overfitting. Prediction of thermal behavior of SOA can be achieved by a concise number of descriptors of the precursor hydrocarbon including the number of internal and external double bonds, number of methyl- and ethyl- functional groups, molecular weight, number of ring structures, in addition to the volume of SOA formed, and an indicator of which of four oxidant precursors was used to initiate reactions (NOx photo-oxidation, photolysis of H2O2, ozonolysis, or thermal decomposition of N2O5). Additional input variables, such as, chamber volumetric residence time, relative humidity, initial concentration of oxides of nitrogen, reacted hydrocarbon concentration, and further descriptors of the precursor hydrocarbon, including carbon number, number of oxygen atoms, and number of aromatic ring structures, lead to over fit models, and are unnecessary for an efficient, accurate predictive model of thermal behavior of SOA.  This work indicates that predictive statistical modeling methods may be complementary to descriptive techniques for use in parameterization of air quality models. \n\nThis dataset is associated with the following publication:\nOffenberg, J., M. Lewandowski, T. Kleindienst, K. Docherty, J. Krug, T. Riedel, D. Olson, and M. Jaoui. Predicting Thermal Behavior of Secondary Organic Aerosols.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(17): 9911-9919, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1372660",
      "keyword": [
        "enthalpy of vaporization",
        "Artificial Neural Network",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Offenberg Thermal Properties Figures1-5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372660/Offenberg%20Thermal%20Properties%20Figures1-5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-26",
      "references": [
        "https://doi.org/10.1021/acs.est.7b01968"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cyanobacteria Index (MERIS) ",
      "description": "This dataset shows the concentration of cyanobacteria cells/ml in fresh water bodies and estuaries of the Ohio and Florida derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery. This dataset was produced through partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency (ESA) Envisat satellite and MERIS instrument. MERIS is a 68.5 degree field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). MERIS imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. \n\nThis dataset is associated with the following publication:\nUrquhart, E., B. Schaeffer, R. Stumpf, K. Loftin, and J. Wedell. .A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 67: 144-152, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1364346",
      "keyword": [
        "Harmful Algal Blooms",
        "cyanobacteria",
        "remote sensing",
        "MERIS",
        "Sentinel-3",
        "inland waters",
        "lakes",
        "reservoirs"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "A-vq8t.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364346/A-vq8t.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-08",
      "references": [
        "https://doi.org/10.1016/j.hal.2017.06.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Autism and green space_clean",
      "description": "Autism and green space metrics in California elementary school districts. \n\nThis dataset is associated with the following publication:\nWu, J., and L. Jackson. Inverse Relationship Between Urban Green Space and Childhood Autism in California Elementary School Districts.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 107: 140-145, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374806",
      "keyword": [
        "Green space",
        "Social economical status",
        "autism case",
        "near-road tree canopy",
        "autism spectrum disorder",
        "greenness",
        "air pollution",
        "school children",
        "human health"
      ],
      "contactPoint": {
        "fn": "Jianyong Wu",
        "hasEmail": "mailto:wu.jianyong@epa.gov"
      },
      "distribution": [
        {
          "title": "autism and green space_clean.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374806/autism%20and%20green%20space_clean.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-11",
      "references": [
        "https://doi.org/10.1016/j.envint.2017.07.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374806/documents/Data%20dictonary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Constraints on primary and secondary particulate carbon sources using chemical tracer and 14C methods during CalNex-Bakersfield",
      "description": "The present study investigates primary and secondary sources of organic carbon for  Bakersfield, CA, USA as part of the 2010 CalNex study. The method used here involves integrated sampling that is designed to allow for detailed and specific chemical analysis of particulate matter (PM) in the Bakersfield airshed. To achieve this objective, filter samples were taken during thirty-four 23-hr periods between 19 May and 26 June 2010 and analyzed for organic tracers by gas chromatography – mass spectrometry (GC-MS). Contributions to organic carbon (OC) were determined by two organic tracer-based techniques:  primary OC by chemical mass balance and secondary OC by a mass fraction method. Radiocarbon (14C) measurements of the total organic carbon were also made to determine the split between the modern and fossil carbon and thereby constrain unknown sources of OC not accounted for by either tracer-based attribution technique. \r\nFrom the analysis, OC contributions from four primary sources and four secondary sources were determined, which comprised three sources of modern carbon and five sources of fossil carbon. The major primary sources of OC were from vegetative detritus (9.8%), diesel (2.3%), gasoline (<1.0%), and lubricating oil impacted motor vehicle exhaust (30%); measured secondary sources resulted from isoprene (1.5%), α-pinene (<1.0%), toluene (<1.0%), and naphthalene (<1.0%, as an upper limit) contributions. The average observed organic carbon (OC) was 6.42  ± 2.33 μgC m-3. The 14C derived apportionment indicated that modern and fossil components were nearly equivalent on average; however, the fossil contribution ranged from 32-66% over the five week campaign. With the fossil primary and secondary sources aggregated, only 25% of the fossil organic carbon could not be attributed. Whereas, nearly 80% of the modern carbon could not be attributed to primary and secondary sources accessible to this analysis, which included tracers of biomass burning, vegetative detritus and secondary biogenic carbon. The results of the current study contributes source-based evaluation of the carbonaceous aerosol at CalNex Bakersfield. \n\nThis dataset is associated with the following publication:\nSheesley, R., P. Dev Nallathamby, J. Surratt, A. Lee, M. Lewandowski, J. Offenberg, M. Jaoui, and T. Kleindienst. Constraints on primary and secondary particulate carbon sources using chemical tracer and 14C methods during CalNex-Bakersfield.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 166: 204-214, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1373284",
      "keyword": [
        "CalNex",
        "Source Attribution",
        "14C",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Sheesley Fig 1 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373284/Sheesley%20Fig%201%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sheesley Fig 2 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373284/Sheesley%20Fig%202%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.07.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measuring urban tree loss dynamics across residential landscapes",
      "description": "The spatial arrangement of urban vegetation depends on urban morphology and socio-economic settings.  Urban vegetation changes over time because of human management.  Urban trees are removed due to hazard prevention or aesthetic preferences.  Previous research attributed tree\nloss to decreases in canopy cover.  However, this provides little information about location and structural characteristics of trees lost, as well as environmental and social factors affecting tree loss dynamics.  This is particularly relevant in residential landscapes where access to residential parcels for field surveys is limited.  We tested whether multi-temporal airborne LiDAR and multi-spectral imagery collected at a 5-year interval can be used to investigate urban tree loss dynamics across residential landscapes in Denver, CO and Milwaukee, WI, covering 400,705 residential parcels in 444 census tracts.  Position and stem height of trees lost were extracted from canopy height models calculated as the difference between final (year 5) and initial (year 0) vegetation height derived from LiDAR.  Multivariate regression models were used to predict number and height of tree stems lost in residential parcels in each census tract based on urban morphological and socio-economic variables.  A total of 28,427 stems were lost from residential parcels in Denver and Milwaukee over 5 years.  Overall, 7% of residential parcels lost one stem, averaging 90.87 stems per km2.  Average stem height was 10.16 m, though trees lost in Denver were taller compared to Milwaukee.  The number of stems lost was higher in neighborhoods with higher canopy cover and developed before the 1970s.  However, socio-economic characteristics had little effect on tree loss dynamics.  The study provides a robust method for measuring urban tree loss dynamics within and across entire cities, and represents a first step towards high resolution assessments of the three-dimensional change of urban vegetation at large spatial scales. \n\nThis dataset is associated with the following publication:\nOssola, A., and M. Hopton. Measuring urban tree loss dynamics across residential landscapes.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 612: 940-949, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1375181",
      "keyword": [
        "multi-temporal LiDAR",
        "urban forestry",
        "remote sensing",
        "vegetation dynamics",
        "socio-ecological systems",
        "urban ecology",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "RcodeManuscript.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375181/RcodeManuscript.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDenverMilwaukee.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375181/DataDenverMilwaukee.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.08.103"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of Five Modeling Approaches to Quantify and Estimate the Effect of Clouds on the Radiation Amplification Factor (RAF) for Solar Ultraviolet Radiation",
      "description": "Ultraviolet Radiation (UV) data collected at 21 US Environmental Protection Agency sites throughout the continental US, Alaska, Hawaii, and the US Virgin Islands from 1996 through 2004. \n\nThis dataset is associated with the following publication:\nHall, E. Comparison of Five Modeling Approaches to Quantify and Estimate the Effect of Clouds on the Radiation Amplification Factor (RAF) for Solar Ultraviolet Radiation.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 8(8): 153, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376728",
      "keyword": [
        "Radiation Amplification Factor (RAF)",
        "Diffey-weighted ultraviolet radiation (DUV)",
        "Solar Zenith Angle (SZA)",
        "Dobson Unit (DU)",
        "ultraviolet radiation (UV)",
        "cloudiness"
      ],
      "contactPoint": {
        "fn": "Eric Hall",
        "hasEmail": "mailto:hall.erics@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/rsig-data-inventory",
          "accessURL": "https://www.epa.gov/hesc/rsig-data-inventory",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2004-12-31",
      "references": [
        "https://doi.org/10.3390/atmos8080153",
        "https://pasteur.epa.gov/uploads/10.23719/1376728/documents/QAPP_68-D-04-001_JAN2004.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1376728/documents/QA%20Review%20Form_esh_02JUN2017.signed.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1376728/documents/Performance_Work_Specification_68-D-04-001_30OCT2003.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1376728/documents/atmosphere-08-00153-v2.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1376728/documents/UV%20Data%20Dictionary-MetadataA-6hf0_20170703.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Calibration and performance of synchronous SIM/scan mode for simultaneous targeted and discovery (non-targeted) analysis of exhaled breath samples from firefighters",
      "description": "This dataset includes the tables and supplementary information from the journal article. \n\nThis dataset is associated with the following publication:\nWallace, A., J. Pleil, S. Mentese, K. Oliver, D. Whitaker, and K. Fent. Calibration and performance of synchronous SIM/scan mode for simultaneous targeted and discovery (non-targeted) analysis of exhaled breath samples from firefighters.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1516: 114-124, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1380226",
      "keyword": [
        "Selected ion monitoring/scan (SIM/scan)",
        "Gas chromatography-mass spectrometry (GC/MS)",
        "Automatic thermal desorption (ATD)",
        "Volatile organic compound (VOC)",
        "Polyaromatic hydrocarbon (PAH)",
        "breath research"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [
        {
          "title": "WallaceMichelle_A-6hdz_Data_20170508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1380226/WallaceMichelle_A-6hdz_Data_20170508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-09",
      "references": [
        "https://doi.org/10.1016/j.chroma.2017.07.082"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerobic oxidation of alcohols in visible light on Pd-grafted Ti cluster",
      "description": "The titanium cluster with the reduced band gap has been synthesized having the palladium nanoparticles over the surface, which not only binds to the atmospheric oxygen but also catalyzes the oxidation of alcohols under visible light. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, M. Nadagouda, and R. Varma. Aerobic oxidation of alcohols in visible light on Pd-grafted Ti cluster.   TETRAHEDRON. Elsevier Science Ltd, New York, NY, USA, 73(38): 5577-5580, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389569",
      "keyword": [
        "Titanium cluster",
        "Heterogeneous catalysis",
        "Palladium nanoparticle",
        "Aerial oxidation",
        "Photoactive",
        "Visible light"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0040402016307281",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0040402016307281",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-25",
      "references": [
        "https://doi.org/10.1016/j.tet.2016.07.070",
        "https://www.sciencedirect.com/science/article/pii/S0040402016307281?via%3Dihub",
        "https://pasteur.epa.gov/uploads/10.23719/1389569/documents/TET-D-16-00678R1-Supporting%20Information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Triclosan Concentration Data for Lydon et al., 2017",
      "description": "Pharmaceuticals and personal care products, including antimicrobials, can be found at trace levels in treated wastewater effluent. Impacts of chemical contaminants on coastal aquatic microbial community structure and pathogen abundance are unknown despite the potential for selection through antimicrobial resistance. In particular, Vibrio, a marine bacterial genus that includes several human pathogens, displays resistance to the ubiquitous antimicrobial compound triclosan. Here we demonstrated through use of natural seawater microcosms that triclosan (at a concentration of ~5 ppm) can induce a significant Vibrio growth response (68–1,700 fold increases) in comparison with no treatment controls for three distinct coastal ecosystems: Looe Key Reef (Florida Keys National Marine Sanctuary), Doctors Arm Canal (Big Pine Key, FL), and Clam Bank Landing (North Inlet Estuary, Georgetown, SC). Additionally, microbial community analysis by 16 S rRNA gene sequencing for Looe Key Reef showed distinct changes in microbial community structure with exposure to 5 ppm triclosan, with increases observed in the relative abundance of Vibrionaceae (17-fold), Pseudoalteromonadaceae (65-fold), Alteromonadaceae (108-fold), Colwelliaceae (430-fold), and Oceanospirillaceae (1,494-fold). While the triclosan doses tested were above concentrations typically observed in coastal surface waters, results identify bacterial families that are potentially resistant to triclosan and/or adapted to use triclosan as a carbon source. The results further suggest the potential for selection of Vibrio in coastal environments, especially sediments, where triclosan may accumulate at high levels. \n\nThis dataset is associated with the following publication:\nLydon, K.A., D. Glinski, J. Westrich, M. Henderson, and E. Lipp. Effects of triclosan on bacterial community composition and Vibrio populations in natural seawater microcosms.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 5(22): 1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390180",
      "keyword": [
        "tricolsan",
        "antimicrobial resistance",
        "vibrio",
        "pharmaceuticals",
        "Triclosan",
        "antimicrobials"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Lydon et al., 2017_SciHub Dataset.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390180/Lydon%20et%20al.%2C%202017_SciHub%20Dataset.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-14",
      "references": [
        "https://doi.org/10.1525/elementa.141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Concentration and Quantification of Somatic and F+ Coliphages from Recreational Waters",
      "description": "Dataset describes performance of a culture-based method to concentrate and quantify somatic and F+ coliphages. \n\nThis dataset is associated with the following publication:\nMcMinn, B., E. Huff, E. Rhodes, and A. Korajkic. Concentration and Quantification of Somatic and F+ Coliphage from Recreational Waters.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 249: 58-65, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378317",
      "keyword": [
        "coliphage",
        "Ultrafiltration",
        "recreational water",
        "wastewater",
        "Bacteriophage"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378317/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2017.08.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dilbit Data",
      "description": "The data is in the form of degradation of hydrocarbons over time at two temperatures and the relative abundance of bacterial taxa identified in the microcosms. This dataset is associated with the following publication:\nConmy, R., M. Barron, J. Santodomingo, and R. Deshpande. Characterization and Behavior of Cold Lake Blend and Western Canadian Select Diluted Bitumen Products. U.S. Environmental Protection Agency, Washington, DC, USA, 2017. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390705",
      "keyword": [
        "hydrocarbon",
        "dilbit degradation",
        "dilbit"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [],
      "modified": "2017-09-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Accumulibacter data",
      "description": "Number of gene copies associated with phosphate accumulation using qPCR and relative abundance of bacterial groups. This dataset is associated with the following publication:\nCamejo, P., J. Santodomingo, K. McMahon, and D. Noguera. Genome-enabled insights into the ecophysiology of the comammox bacterium Ca. Nitrospira nitrosa.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2(5): 1-16, (2017). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390706",
      "keyword": [
        "water and wastewater treatment",
        "phosphate accumulation",
        "low dissolve oxygen"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [],
      "modified": "2017-09-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pilot Plant data for nitrogen removal",
      "description": "Different phylogenetic groups that were identified in this study. \n\nThis dataset is associated with the following publication:\nKeene, N.A., S.R. Reusser, M. Scarborough, A. Grooms, M. Seib, J. Santodomingo, and D. Noguera. Pilot Plant Demonstration of Stable and Efficient High Rate Biological Nutrient Removal with Low Dissolved Oxygen Conditions.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 121: 72-85, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390709",
      "keyword": [
        "biological nutrient removal",
        "low dissolved oxygen"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Keene et al Pilot Plant ScId A-70s7.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390709/Keene%20et%20al%20Pilot%20Plant%20ScId%20A-70s7.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-05",
      "references": [
        "https://doi.org/10.1016/j.watres.2017.05.029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lye-data-compiled-scihub ",
      "description": "The data contained in this worksheet provides the quantitative detection of potentially pathogenic fungi in treated and untreated rainwater samples. \n\nThis dataset is associated with the following publication:\nKim, T., D. Lye , M. Donohue , J. Mistry , S. Pfaller , S. Vesper , and M.J. Kirisits. Harvested rainwater quality before and after treatment in six full-scale residential systems.   JOURNAL OF AMERICAN WATER WORKS ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 108(11): E571-E584, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390510",
      "keyword": [
        "Aspergillus",
        "legionella",
        "Mycobacterium",
        "rainwater harvesting",
        "rainwater",
        "treatment"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Lye-data-compiled-scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390510/Lye-data-compiled-scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-19",
      "references": [
        "https://doi.org/10.5942/jawwa.2016.108.0182"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DEVELOPMENT OF A SCREENING APPROACH TO DETECT THYROID DISRUPTING CHEMICALS THAT INHIBIT THE HUMAN SODIUM IODIDE SYMPORTER (NIS)",
      "description": "Data pertaining to a NIS-expressing cell line, hNIS-HEK293T-EPA, and its screening capabilities for determining inhibitors of NIS-mediated iodide uptake. \n\nThis dataset is associated with the following publication:\nHallinger, D., A. Murr, A. Buckalew, S. Simmons, T. Stoker, and S. Laws. Development of a Screening Approach to Detect Thyroid Disrupting Chemicals that Inhibit the Human Sodium/Iodide Symporter (NIS).   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA,  66-78, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1389264",
      "keyword": [
        "thyroid",
        "Endocrine Disruptors",
        "Sodium Iodide Symporter",
        "Chemical Screening"
      ],
      "contactPoint": {
        "fn": "Susan Laws",
        "hasEmail": "mailto:laws.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "A-jm6k.Data.Completed.by.DRH.20161219.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389264/A-jm6k.Data.Completed.by.DRH.20161219.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-20",
      "references": [
        "https://doi.org/10.1016/j.tiv.2016.12.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Corexit 9500 microcosm data",
      "description": "Relative abundance of bacterial groups in the microcosms. \n\nThis dataset is associated with the following publication:\nTechtman, S., M. Zhuang, P. Campo-Moreno, E. Holder, R. Conmy, J. Santodomingo, and T. Hazen. Corexit 9500 Enhances Oil Biodegradation and Changes Active Bacterial Community Structure of Oil-Enriched Microcosms.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 83(10): e03462-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1391743",
      "keyword": [
        "Polyaromatic hydrocarbon (PAH)",
        "degradation"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of differential_Temp.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391743/Copy%20of%20differential_Temp.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "http://aem.asm.org/content/83/10/e03462-16"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioinformatics data for paper",
      "description": "Data for sequence comparison of commamox genomes and genes identified. \n\nThis dataset is associated with the following publication:\nCamejo, P., J. Santodomingo, K. McMahon, and D. Noguera. Genome-enabled insights into the ecophysiology of the comammox bacterium Ca. Nitrospira nitrosa.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2(5): 1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1391774",
      "keyword": [
        "commamox",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Camejo et al dataset ScID A-gf29.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391774/Camejo%20et%20al%20dataset%20ScID%20A-gf29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-14",
      "references": [
        "https://doi.org/10.1128/msystems.00059-17"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying Known Unknowns Using the USEPA CompTox Chemistry Dashboard AnalytBioanlytChem Data",
      "description": "In this research, the performance of the Dashboard for identifying “known unknowns” was evaluated against that of the online ChemSpider database, one of the primary resources used by mass spectrometrists, using multiple previously studied datasets reported in the peer-reviewed literature totaling 162 chemicals. These chemicals were examined using both applications via molecular formula and monoisotopic mass searches followed by rank-ordering of candidate compounds by associated references or data sources.  A greater percentage of chemicals ranked in the top position when using the Dashboard, indicating an advantage of this application over ChemSpider for identifying known unknowns using data source ranking. Additional approaches are being developed for inclusion into a non-targeted analysis workflow as part of the CompTox Chemistry Dashboard. \n\nThis dataset is associated with the following publication:\nMcEachran, A., J. Sobus, and A. Williams. (Analytical and Bioanalytical Chemistry) Identifying known unknowns using the US EPAs CompTox Chemistry Dashboard.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA,  1-7, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390250",
      "keyword": [
        "non-targeted analysis",
        "suspect screening",
        "high-resolution mass spectrometry",
        "DSSTox",
        "Chemistry Dashboard",
        "dashboards"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/McEachranAndrew",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/McEachranAndrew",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-19",
      "references": [
        "https://doi.org/10.1007/s00216-016-0139-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in the manuscript titled \"Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms and organic aerosol\"",
      "description": "This dataset documents that all of the data used in the manuscript \"Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms, and organic aerosol\" were from previously published works; no original data is presented as this is a review of the state of the science. \n\nThis dataset is associated with the following publication:\nNg, N., S. Brown, A. Archibald, E. Atlas, R. Cohen, J. Crowley, D. Day, N. Donahue, J. Fry, H. Fuchs, R. Griffin, M. Guzman, H. Herrmann, A. Hodzic, Y. Iinuma, J. Jimenez, A. Kiendler-Scharr, B. Lee, D. Luecken, J. Mao, R. McLaren, A. Mutzel, H. Osthoff, B. Ouyang, B. Picquet-Varrault, U. Platt, H. Pye, Y. Rudich, R. Schwantes, M. Shiraiwa, J. Stutz, J. Thornton, A. Tilgner, B.J. Williams, and R. Zaveri. Nitrate radicals and biogenic volatile organic compounds: oxidation, mechanisms, and organic aerosol.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 2103-2162, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375313",
      "keyword": [
        "nitrate",
        "BVOCs",
        "isoprene",
        "monoterpenes"
      ],
      "contactPoint": {
        "fn": "Deborah Luecken",
        "hasEmail": "mailto:luecken.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "Ng_etal_DataStatement.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375313/Ng_etal_DataStatement.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-29",
      "references": [
        "https://doi.org/10.5194/acp-17-2103-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assembled cross-species perchlorate dose-response data ",
      "description": "This data set contains dose-response data for perchlorate exposure in multiple species.  These data were assembled from peer-reviewed studies.  Species included in this dataset are: rats (Rattus sp.), meadow voles (Microtus sp.), rabbits (Oryctolagus cuniculus), the African clawed frog (Xenopus laevis), zebrafish (Danio rerio), mosquito fish (Gambusia holbrooki), the bobwhite quail (Colinus virginianus), earthworms (Eisenia foetida), mosquito larvae (Culex quinquefasciatus), the water flea (Daphnia magna), and the sand dollar (Peronella japonica). \n\nThis dataset is associated with the following publication:\nHines, D., S. Edwards, R. Conolly, and A. Jarabek. The Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP) frameworks facilitate the integration of human health and ecological endpoints for Cumulative Risk Assessment (CRA).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(2): 839-849, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1375712",
      "keyword": [
        "perchlorate",
        "cumulative risk assessment",
        "ecotoxicology",
        "human health",
        "Aggregate exposure"
      ],
      "contactPoint": {
        "fn": "Stephen Edwards",
        "hasEmail": "mailto:edwards.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Perchlorate_studies.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375712/Perchlorate_studies.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-11",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04940"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1375712/documents/data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Synchrotron data of Pb, As, and Fe speciation in soils",
      "description": "Linear combination data showing the percent distribution of Pb, As, and Fe phases in soil samples exposed to simulated lung fluid. \n\nThis dataset is associated with the following publication:\nKastury, F., E. Smith, R. Karna, K. Scheckel, and A. Juhasz. An inhalation-ingestion bioaccessibility assay (IIBA) for the assessment of exposure to metal(loid)s in PM10.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  92-104, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390507",
      "keyword": [
        "metal bioavailability",
        "in vitro bioaccessibility",
        "synchrotron speciation",
        "contaminated soil",
        "Inhalation exposures"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 3 Kastury Lung IVBA Paper.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390507/Table%203%20Kastury%20Lung%20IVBA%20Paper.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-27",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.02.337"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LCF data for aging of Cu NPs in soil",
      "description": "Linear combination fitting data for Cu NPs in five soils as a function of aging time. \n\nThis dataset is associated with the following publication:\nSekine, R., E. Marzouk, M. Khaksar, K. Scheckel, J. Stegemeier, G. Lowry, E. Donner, and E. Lombi. Aging of Dissolved Copper and Copper-based Nanoparticles in Five Different Soils: Short term Kinetics vs. Long term Fate.  Edward Gregorich  JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 46(6): 1198-1205, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390506",
      "keyword": [
        "copper nanoparticles",
        "synchrotron speciation",
        "fate and transport",
        "Aging"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Mot CuNPs LCF Table.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390506/Mot%20CuNPs%20LCF%20Table.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-19",
      "references": [
        "https://doi.org/10.2134/jeq2016.12.0485"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Karna Particle Size Dataset for Tables and Figures",
      "description": "This dataset contains 1) table of bulk Pb-XAS LCF results, 2) table of bulk As-XAS LCF results, 3) figure data of particle size distribution, and 4) figure data for the relationship of As and Pb %IVBA in the <250 µm sieved size fraction vs sieved <250 µm to >150 µm, <150 µm to >75 µm, <75 µm to >38 µm, and <38 µm; and <250 µm ground, and <150 µm sieved and ground. \n\nThis dataset is associated with the following publication:\nKarna, R., M. Noerpel, A. Betts, and K. Scheckel. Lead and Arsenic Bioaccessibility and Speciation as a Function of Soil Particle Size.  Emmanuel Doelsch  JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 46(6): 1225-1235, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390505",
      "keyword": [
        "Bioaccessibility",
        "metal bioavailability",
        "synchrotron speciation",
        "particle size distribution",
        "lead",
        "arsenic"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Karna Particle Size Dataset.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390505/Karna%20Particle%20Size%20Dataset.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-06",
      "references": [
        "https://doi.org/10.2134/jeq2016.10.0387"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EXAFS fit parameters for U sorption to nanoparticles in high salt water",
      "description": "Table showing samples and associated scattering paths, interatomic distance, coordination number, energy shift, and error factors. \n\nThis dataset is associated with the following publication:\nLi, D., S. Egodawatte, D. Kaplan, S. Larsen, S. Serkiz, J. Seaman, K. Scheckel, J. Lin, and Y. Pan. Sequestration of U(VI) from Acidic, Alkaline, and High Ionic-Strength Aqueous Media by Functionalized Magnetic Mesoporous Silica Nanoparticles: Capacity and Binding Mechanisms.  David Sedlak  ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(24): 14330-14341, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390504",
      "keyword": [
        "uranium",
        "seawater",
        "Engineered nanoparticles (NP)",
        "synchrotron speciation",
        "chemical binding"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Uranium EXAFS fit parameters.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390504/Uranium%20EXAFS%20fit%20parameters.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-10",
      "references": [
        "https://doi.org/10.1021/acs.est.7b03778"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Draft Genome Sequence of Mycobacterium chimaera Type Strain Fl-0169T version MRBR00000000.1",
      "description": "The dataset contains the first draft genome sequence of the type strain of Mycobacterium chimaera, Fl-0169. \n\nThis dataset is associated with the following publication:\nPfaller, S., V. Tokarev, C. Kessler, C. McLimans, V. Gomez-Alvarez, J. Wright, D. King, and R. Lamendella. Draft Genome Sequence of Mycobacterium chimaera Type Strain Fl-0169.   Genome Announcements. American Society for Microbiology, Washington, DC, USA, 5(8): e01620-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379478",
      "keyword": [
        "Mycobacterium chimaera",
        "genome",
        "drinking water",
        "Pathogen"
      ],
      "contactPoint": {
        "fn": "Stacy Pfaller",
        "hasEmail": "mailto:pfaller.stacy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/Traces/wgs/?val=MRBR01#contigs",
          "accessURL": "https://www.ncbi.nlm.nih.gov/Traces/wgs/?val=MRBR01#contigs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-06",
      "references": [
        "https://doi.org/10.1128/genomea.01620-16"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A laboratory comparison of emission factors, number size distributions and morphology of ultrafine particles from eleven different household cookstove-fuel systems ",
      "description": "This dataset includes all data used to generate figures in the manuscript and supporting information for the publication entitled \"Emission factors, number size distributions and morphology of ultrafine particles in cookstove smoke: A laboratory comparison of different household stove-fuel systems.\". \n\nThis dataset is associated with the following publication:\nShen, G., C. Gaddam, S. Ebersviller, R. Vander Wal, C. Williams, J. Faircloth, J. Jetter, and M. Hays. Emission factors, number size distributions and morphology of ultrafine particles in cookstove smoke: A laboratory comparison of different household stove-fuel systems.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(11): 6522-6532, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375761",
      "keyword": [
        "ultrafine particles",
        "number size distributions",
        "cookstoves",
        "particle morphology",
        "cookstove",
        "stove",
        "emission",
        "efficiency"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Data in Cookstove UFP paper - 2017Aug17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375761/Data%20in%20Cookstove%20UFP%20paper%20-%202017Aug17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-14",
      "references": [
        "https://doi.org/10.1021/acs.est.6b05928"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regeneration Study Test Data",
      "description": "Data (2 excel files) consist of the analytical test results on water sample collected from the two adsorption media tanks of the arsenic removal system during the regeneration processes conducted multiply times over a five-year period.  Data set also includes the companion bed volumes of water treated by the tank of media at the time the water samples were collected. \n\nThis dataset is associated with the following publications:\nSorg, T., A. Chen, L. Wang, and R. Kolich. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 1: The Regeneration Process.   JOURNAL OF AMERICAN WATER WORKS ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 109(5): 13-24, (2017).\nSorg, T., R. Kolich, A.S.C. Chen, and L. Wang. Regeneration of a Full-Scale Arsenic Removal Adsorptive Media System,Part 2: The Performance and Cost.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 109(5): E122-E128, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1392538",
      "keyword": [
        "drinking water",
        "arsenic",
        "drinking water treatment",
        "regeneration",
        "Field demonstration"
      ],
      "contactPoint": {
        "fn": "Thomas Sorg",
        "hasEmail": "mailto:sorg.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Regeneration Paper 1 - Fig 1 & 2 - Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1392538/Regeneration%20Paper%201%20-%20Fig%201%20%26%202%20-%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Regeneration Paper 2 - Fig 1 & 2 - Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1392538/Regeneration%20Paper%202%20-%20Fig%201%20%26%202%20-%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.5942/jawwa.2017.109.0045",
        "https://doi.org/10.5942/jawwa.2017.109.0046"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting study of Ecosystem Metabolism in Pensacola Bay estuary",
      "description": "These files house the data collected during 2013 in lower Pensacola Bay. The data were used to estimate aquatic primary production and respiration. \n\nThis dataset is associated with the following publication:\nCaffrey, J., M. Murrell , K. Amacker, J. Harper, S. Phipps, and M. Woodrey. Seasonal and interannual patterns in primary production, respiration and net ecosystem metabolism in three estuaries in the northeast Gulf of Mexico.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA,  20, (2013).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1393578",
      "keyword": [
        "Primary Production",
        "Plankton Community Respiration",
        "Net Ecosystem Metabolism",
        "dissolved oxygen",
        "estuary",
        "eutrophication"
      ],
      "contactPoint": {
        "fn": "Michael Murrell",
        "hasEmail": "mailto:murrell.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "SPAM_2013_Master_Mar17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393578/SPAM_2013_Master_Mar17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1007/s12237-013-9701-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prioritization of Contaminants of Emerging Concern in Wastewater Treatment Plant Discharges using Chemical:Gene Interactions in Caged Fish. ",
      "description": "We examined whether contaminants present in surface waters could be prioritized for further assessment by linking the presence of specific chemicals to gene expression changes in exposed fish. Fathead minnows were deployed in cages for 2, 4, or 8 days at three locations near two different waste water treatment plant discharge sites in the Saint Louis Bay, Duluth, MN and one upstream control site. The biological impact of 51 chemicals detected in the surface water was determined using biochemical endpoints, exposure activity ratios for biological and estrogenic responses; known chemical:gene interactions from biological pathways and knowledge bases, and analysis of the co-variance of ovary gene expression with surface water chemistry. Thirty-two chemicals were significantly linked by co-variance with expressed genes. No estrogenic impact on biochemical endpoints was observed in male or female minnows. However, bisphenol A was identified by chemical:gene co-variation as the most impactful chemical across the exposure sites. This was consistent with identification of estrogenic effects on gene expression, high exposure activity ratios across all test sites, and historical analysis of the area. Overall, this approach appears useful in examining the impacts of complex mixtures on fish and offers a potential route in linking chemical exposure to adverse outcomes that reduce population sustainability. \n\nThis dataset is associated with the following publication:\nPerkins, E., T. Habib, B. Escalon, J. Cavallin, L. Thomas, M. Weberg, M. Hughes, K. Jensen, M. Kahl, D. Villeneuve, G. Ankley, and N. Garcia-Reyero. Prioritization of contaminants of emerging concern in wastewater treatment plant discharges using chemical: Gene interactions in caged fish.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(15): 8701-8712, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1393796",
      "keyword": [
        "adverse outcome pathway",
        "endocrine disruption",
        "Great Lakes Restoration Initiative",
        "screening and prioritization",
        "transcriptomic",
        "wastewater",
        "ecotoxicology",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "DS Harbor 2010 data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393796/DS%20Harbor%202010%20data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96678",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE96678",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-07",
      "references": [
        "https://doi.org/10.1021/acs.est.7b01567"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used for Raimondo et al. 2016 \"Effects of Louisiana Crude Oil on the Sheepshead Minnow (Cyprinodon variegatus) During a Life-Cycle Exposure to Laboratory Oiled Sediment\"",
      "description": "Data are provided describing reproduction, length, weight, liver weight, and ovary weight in fish exposed to sediment spiked with weathered oil. Data are also provided on analytical chemistry of water and sediment to which fish were exposed in various treatments. \n\nThis dataset is associated with the following publication:\nRaimondo , S., B. Hemmer , C. Lilavois , J. Krzykwa , A. Almario , J. Awkerman , and M. Barron. Effects of Louisiana crude oil on the sheepshead minnow (Cyprinodon variegatus) during a life-cycle exposure to laboratory oiled sediment.   ENVIRONMENTAL TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 31(11): 1627-1639, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1371699",
      "keyword": [
        "wet weight",
        "length",
        "reproduction",
        "water chemistry",
        "sediment chemistry",
        "sediment exposure",
        "chronic toxicity",
        "fish",
        "oil",
        "Reproductive effects",
        "growth effects",
        "polycyclic"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "Raimondo 2016 Env Tox_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371699/Raimondo%202016%20Env%20Tox_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-18",
      "references": [
        "https://doi.org/10.1002/tox.22167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro dermal absorption of decabromodiphenyl ethane in rat and human skin",
      "description": "In vitro dermal absorption of decabromodiphenyl ethane in rat and human skin. \n\nThis dataset is associated with the following publication:\nKnudsen, G., J.M. Sanders, M. Hughes, E. Hull, and L. Birnbaum. The biological fate of decabromodiphenyl ethane following oral, dermal or intravenous administration.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 47(10): 894-902, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1393853",
      "keyword": [
        "brominated flame retardant",
        "skin"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "DBDPE dermal in vitro data_092017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393853/DBDPE%20dermal%20in%20vitro%20data_092017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-20",
      "references": [
        "https://doi.org/10.1080/00498254.2016.1250180"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adrenal-derived stress hormones modulate ozone-induced lung injury and inflammation",
      "description": "This data set shows high throughput gene expression assessment using RNAseq to examine how ozone-induced transcriptional changes in the lung are influenced by adrenalectomy or adrenal demedullation in rats. \nWe have previously observed that lung injury and inflammation are diminished in adrenalectomized rats and this study was planned to understand if circulating stress hormones influence ozone transcriptional effects and what ozone-induced pathway changes might be impacted by removal of adrenal glands. \n\nThis dataset is associated with the following publication:\nHenriquez, A., J. House, D. Miller, S. Snow, A. Fisher, H. Ren, M. Schladweiler, A. Ledbetter, F. Wright, and U. Kodavanti. Adrenal-derived stress hormones modulate ozone-induced lung injury and inflammation.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 329: 249-258, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1393585",
      "keyword": [
        "Ozone",
        "lung",
        "Stress hormones",
        "adrenalectomy",
        "RNASeq"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez 2017 Manuscript for TAAP- Data for ScienceHub - Kodavanti.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393585/Henriquez%202017%20Manuscript%20for%20TAAP-%20Data%20for%20ScienceHub%20-%20Kodavanti.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-03",
      "references": [
        "https://doi.org/10.1016/j.taap.2017.06.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Keyword analysis of community planning documents",
      "description": "This file contains total hits per keyword expressed as percentage of total hits for the eight domains of the human well-being index.  Additional categorical data is given for each community planning document based on publicly available demographic data for the community.  These demographic data include population size, proportion of population in a series of categories: education level, median income, and race.  Additional categorical variables are community assignment based on a community typology.  A full description of the community typology can be found in the associated supplementary material. \n\nThis dataset is associated with the following publication:\nFulford, R., M. Russell, J. Harvey, and M. Harwell. Sustainability at the community level: Searching for common ground as a part of a national strategy for decision support. U.S. Environmental Protection Agency, Washington, DC, USA, 2016.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1393795",
      "keyword": [
        "ecosystem services",
        "human well-being",
        "Community Decision-Making",
        "fundamental objectives"
      ],
      "contactPoint": {
        "fn": "Richard Fulford",
        "hasEmail": "mailto:fulford.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "KeywordComparison_SciHub.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393795/KeywordComparison_SciHub.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-24",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100PIKG.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fine-Tuning ADAS Algorithm Parameters ",
      "description": "With the development of the Connected Vehicle technology that facilitates wirelessly communication among vehicles and road-side infrastructure, the Advanced Driver Assistance Systems (ADAS) can be adopted as an effective tool for accelerating traffic safety and mobility optimization at various highway facilities. To this end, the traffic management centers identify the optimal ADAS algorithm parameter set that enables the maximum improvement of the traffic safety and mobility performance, and broadcast the optimal parameter set wirelessly to individual ADAS-equipped vehicles. After adopting the optimal parameter set, the ADAS-equipped drivers become active agents in the traffic stream that work collectively and consistently to prevent traffic conflicts, lower the intensity of traffic disturbances, and suppress the development of traffic oscillations into heavy traffic jams. Successful implementation of this objective requires the analysis capability of capturing the impact of the ADAS on driving behaviors, and measuring traffic safety and mobility performance under the influence of the ADAS. To address this challenge, this research proposes a synthetic methodology that incorporates the ADAS-affected driving behavior modeling and state-of-the-art microscopic traffic flow modeling into a virtually simulated environment. Building on such an environment, the optimal ADAS algorithm parameter set is identified through an optimization programming framework to enable the maximum safety and mobility improvement. The developed methodology is tested at a freeway facility under both low and high ADAS market penetration rate scenarios. The identified optimal ADAS algorithm parameter set can be used to establish multiple traffic management strategies. These strategies form a pool of candidate plans for the traffic management team to select when they face different control objectives (e.g., safety improvement more important, mobility improvement more important, or balanced safety and mobility improvement). It is also found that the traffic system optimization becomes easier to achieve as the ADAS penetration rate becomes higher. \n\nThis dataset is associated with the following publication:\nLiu, H., H. Wei, T. Zuo, Z. Li, and J. Yang. Fine-Tuning ADAS Algorithm Parameters for Optimizing Traffic Safety and Mobility in Connected Vehicle Environment.   TRANSPORTATION RESEARCH. Elsevier Science Ltd, New York, NY, USA, 76: 132-149, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390778",
      "keyword": [
        "traffic safety and mobility optimization",
        "Advanced Driver Assistance System (ADAS)",
        "driver behavior modeling",
        "microscopic traffic flow modeling"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data File_Fine-Tuning ADAS Algorithm Parameters .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390778/Supplemental%20Data%20File_Fine-Tuning%20ADAS%20Algorithm%20Parameters%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-04",
      "references": [
        "https://doi.org/10.1016/j.trc.2017.01.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An approach to measure parameter sensitivity in watershed hydrologic modeling",
      "description": "Abstract   Hydrologic responses vary spatially and temporally according to watershed characteristics. In this study, the hydrologic models that we developed earlier for the Little Miami River (LMR) and Las Vegas Wash (LVW) watersheds were used for detail sensitivity analyses. To compare the relative sensitivities of the hydrologic parameters of these two models, we used Normalized Root Mean Square Error (NRMSE). By combining the NRMSE index with the flow duration curve analysis, we derived an approach to measure parameter sensitivities under different flow regimes. Results show that the parameters related to groundwater are highly sensitive in the LMR watershed, whereas the LVW watershed is primarily sensitive to near surface and impervious parameters. The high and medium flows are more impacted by most of the parameters. Low flow regime was highly sensitive to groundwater related parameters. Moreover, our approach is found to be useful in facilitating model development and calibration. \n\nThis dataset is associated with the following publication:\nRanatunga, T., S. Tong, and J. Yang. An approach to measure parameter sensitivity in watershed hydrologic modeling.   Hydrological Sciences Journal. IAHS LIMITED, Oxford,  UK, 62(1): 76-92, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390229",
      "keyword": [
        "flow duration curve",
        "words sensitivity analysis",
        "words  sensitivity analysis",
        "HSPF",
        "NRMSE",
        "model development"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data File_An approach to measure parameter sensitivity.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390229/Supplemental%20Data%20File_An%20approach%20to%20measure%20parameter%20sensitivity.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-16",
      "references": [
        "https://doi.org/10.1080/02626667.2016.1174335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mixing at double-Tee junctions with unequal pipe sizes in water distribution systems",
      "description": "Pipe flow mixing with various solute concentrations and flow rates at pipe junctions is investigated. The degree of mixing affects the spread of contaminants in a water distribution system. Many studies have been conducted on the mixing at the cross junctions. Yet few have focused on double-Tee junctions of unequal pipe sizes. To investigate the solute mixing at double-Tee junctions with unequal pipe sizes, a series of experiments were conducted in a turbulent regime (Re=12500–50000) with different Reynolds number ratios and connecting pipe lengths. It is found that dimensionless outlet concentrations depended on mixing mechanism at the impinging interface of pipe junctions. Junction with a larger pipe size ratio is associated with more complete mixing. The inlet Reynolds number ratio affects mixing more strongly than the outlet Reynolds number ratio. Furthermore, the dimensionless connecting pipe length in a double-Tee played an important and complicated role in the flow mixing. Based on these results, two-dimensional isopleth maps were developed for the calculation of normalized north outlet concentration. This dataset is not publicly accessible because: The present research is funded by the National Natural Science Foundation of China (No. 51208457 and 51478417), the Major Science and Technology Program for Water Pollution Control and Treatment in China (2012ZX07408-002 and 2012ZX07403-004), and the Fundamental Research Funds for the Central Universities. It can be accessed through the following means: Yang.jeff@epa.gov. Format: Secondary data not available. \n\nThis dataset is associated with the following publication:\nYu, T., H. Qiu, J. Yang, y. shao, and L. Tao. Mixing at double-Tee junctions with unequal pipe sizes in water distribution systems.   Water Science and Technology:  Water Supply. IWA Publishing, London,  UK, 16(6): 1595-1602, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390232",
      "keyword": [
        "double-Tee junctions",
        "unequal pipe sizes",
        "solute mixing",
        "water distribution systems"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-14",
      "references": [
        "https://doi.org/10.2166/ws.2016.076"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GMAP Charleston data",
      "description": "GMAP mobile monitoring data from Charleston study and C-PORT results. \n\nThis dataset is associated with the following publication:\nIsakov, V., T. Barzyk, B. Smith, S. Arunachalam , B. Naess , and A. Venkatram. A web-based screening tool for near-port air quality assessments.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   98: 21-34, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390112",
      "keyword": [
        "air pollution",
        "dispersion modeling",
        "emissions",
        "exposure",
        "ports"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures4EMS2017paper.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390112/Figures4EMS2017paper.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-22",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.09.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "18 excel spreadsheets by species and year giving reproduction and growth data.  One excel spreadsheet of herbicide treatment chemistry.",
      "description": "Excel spreadsheets by species (4 letter code is abbreviation for genus and species used in study, year 2010 or 2011 is year data collected, SH indicates data for Science Hub, date is date of file preparation).   The data in a file are described in a read me file which is the first worksheet in each file.  Each row in a species spreadsheet is for one plot (plant).  The data themselves are in the data worksheet.  \r\nOne file includes a read me description of the column in the date set for chemical analysis.  In this file one row is an herbicide treatment and sample for chemical analysis (if taken). \n\nThis dataset is associated with the following publication:\nOlszyk , D., T. Pfleeger, T. Shiroyama, M. Blakely-Smith, E. Lee , and M. Plocher. Plant reproduction is altered by simulated herbicide drift toconstructed plant communities.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(10): 2799-2813, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390141",
      "keyword": [
        "herbicides",
        "native plants",
        "dicamba",
        "glyphosate",
        "phytotoxicology"
      ],
      "contactPoint": {
        "fn": "David Olszyk",
        "hasEmail": "mailto:olszyk.david@epa.gov"
      },
      "distribution": [
        {
          "title": "CALE 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/CALE%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CALE 2011 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/CALE%202011%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ELGL 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/ELGL%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ERLA 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/ERLA%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ERLA 2011 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/ERLA%202011%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FRVI 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/FRVI%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FRVI 2011 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/FRVI%202011%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IRTE 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/IRTE%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "POGR 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/POGR%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "POGR 2011SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/POGR%202011SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PRVU 2010 SH 050817.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/PRVU%202010%20SH%20050817.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RAOC 2010 SH 042417.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/RAOC%202010%20SH%20042417.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Solution Chemistry 050817.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/Solution%20Chemistry%20050817.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RAOC 2011 SH 080724.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/RAOC%202011%20SH%20080724.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PRVU 2011 SH 081224.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/PRVU%202011%20SH%20081224.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IRTE 2011 SH 080724.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/IRTE%202011%20SH%20080724.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FEID 2011 SH 080724.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/FEID%202011%20SH%20080724.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FEID 2010 SH 080824.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/FEID%202010%20SH%20080824.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ELGL 2011 SH 080724.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390141/ELGL%202011%20SH%20080724.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-04",
      "references": [
        "https://doi.org/10.1002/etc.3839",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130323"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaerosol concentrations - Figure 3 and Figure 4",
      "description": "Bioaerosol concentrations. \n\nThis dataset is associated with the following publication:\nChattopadhyay, S., S. Perkins, M. Shaw, and T. Nichols. Evaluation of Exposure to Brevundimonas diminuta and Pseudomonas aeruginosa during Showering   [HS7.44.02].   JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 114: 77-93, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1373293",
      "keyword": [
        "Bioaerosol sampler; Aerosol concentration",
        "Pathogen",
        "Exposure Assessment",
        "Brevundimonas diminuta",
        "Pseudomonas aeruginosa",
        "Bioaerosols"
      ],
      "contactPoint": {
        "fn": "Sandip Chattopadhyay",
        "hasEmail": "mailto:chattopadhyay.sandip@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 3 and Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373293/Figure%203%20and%20Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-13",
      "references": [
        "https://doi.org/10.1016/j.jaerosci.2017.08.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental information",
      "description": "Supplemental information showing results of inter-comparison between C-PORT, AERMOD and R-LINE dispersion algorithms. \n\nThis dataset is associated with the following publication:\nIsakov, V., T. Barzyk, B. Smith, S. Arunachalam , B. Naess , and A. Venkatram. A web-based screening tool for near-port air quality assessments.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   98: 21-34, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1374998",
      "keyword": [
        "dispersion algorithms",
        "evaluation",
        "air pollution",
        "dispersion modeling",
        "emissions",
        "exposure",
        "ports"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplement.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374998/Supplement.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-15",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.09.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozonolysis of α/β-farnesene mixture: analysis of gas-phase and particulate reaction products",
      "description": "Atmospheric oxidation of sesquiterpenes has been of considerable interest recently because of their likely contribution to ambient organic aerosol, but farnesene oxidation has been reported in only a few studies and with limited data. In the present study, a detailed chemical analysis of the organic fraction of gas and particle phases originating from the ozonolysis of a mixture of α-farnesene and β-farnesene was carried out in a 14.5 m3 smog chamber. More than 80 organic compounds bearing OH functionality were detected for the first time in this system in the gas and particle phases. The major secondary organic aerosol (SOA) components included conjugated α farnesene trienols, hydroxyl carboxylic acid and its corresponding lactones, C3–C7 linear dicarboxylic acids, and hydroxy/carbonyl/carboxylic compounds. Of particular importance was 5,6-dihydroxy-6-methylheptan-2-one (DHMHO), which was detected at high concentration. In the gas phase, the main species identified were trienols and their corresponding epoxides and diepoxides. Proposed reaction schemes are provided for selected compounds. A similar analysis was performed for ambient PM2.5 samples collected during summer 2013 as part of the SOAS to determine farnesene contributions to PM2.5. Gas chromatography–mass spectrometry analysis were consistent with the occurrence of several farnesene SOA compounds, indicating the potential impact of farnesene on the regional aerosol burden. The high abundance of DHMHO in chamber SOA and its presence in ambient PM2.5 is particularly important because to our knowledge it is specific to farnesene and therefore could serve as an indicator for farnesene emitted into ambient aerosol. In the absence of authentic standards, however, it is difficult to accurately quantify the contribution of SOA originating from farnesene to ambient PM2.5. \n\nThis dataset is associated with the following publication:\nJaoui, M., M. Lewandowski, J. Offenberg, K. Docherty, and T. Kleindienst. Ozonolysis of α/β-farnesene mixture: Analysis of gas-phase and particulate reaction products.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 169: 175-192, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376685",
      "keyword": [
        "Sesquiterpenes",
        "α-Farnesene",
        "pm2.5",
        "Conjugated triene-ol",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Jaoui_Farnesene_Ozone_Figures 1-9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376685/Jaoui_Farnesene_Ozone_Figures%201-9.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.08.065",
        "https://pasteur.epa.gov/uploads/10.23719/1376685/documents/Farnesene_Ozone_Chromatographs.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-Throughput Dietary Exposure Predictions for Chemical Migrants from Food Contact Substances for Use in Chemical Prioritization",
      "description": "Under the ExpoCast program, United States Environmental Protection Agency (EPA) researchers have developed a high-throughput (HT) framework for estimating aggregate exposures to chemicals from multiple pathways to support rapid prioritization of chemicals. Here, we present methods to estimate HT exposures to chemicals migrating into food from food contact substances (FCS). These methods consisted of combining an empirical model of chemical migration with estimates of daily population food intakes derived from food diaries from the National Health and Nutrition Examination Survey (NHANES). A linear regression model for migration at equilibrium was developed by fitting available migration measurements as a function of temperature, food type (i.e., fatty, aqueous, acidic, alcoholic), initial chemical concentration in the FCS (C0) and chemical properties. The most predictive variables in the resulting model were C0, molecular weight, log Kow, and food type (R2=0.71, p<0.0001). Migration-based concentrations for 1009 chemicals identified via publicly-available data sources as being present in polymer FCSs were predicted for 12 food groups (combinations of 3 storage temperatures and food type). The model was parameterized with screening-level estimates of C0 based on the functional role of chemical in FCS. By combining these concentrations with daily intakes for food groups derived from NHANES, population ingestion exposures of chemical in mg/kg-bodyweight/day (mg/kg-BW/day) were estimated. Calibrated aggregate exposures were estimated for 1931 chemicals by fitting HT FCS and consumer product exposures to exposures inferred from NHANES biomonitoring (R2=0.61, p<0.001); both FCS and consumer product pathway exposures were significantly predictive of inferred exposures. Including the FCS pathway significantly impacted the ratio of predicted exposures to those estimated to produce steady-state blood concentrations equal to in-vitro bioactive concentrations. While these HT methods have large uncertainties (and thus may not be appropriate for assessments of single chemicals), they can provide critical refinement to aggregate exposure predictions used in risk-based chemical priority–setting. \n\nThis dataset is associated with the following publication:\nBiryol, D., C. Nicolas, J. Wambaugh, K. Phillips, and K. Isaacs. High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 108: 185-194, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374398",
      "keyword": [
        "exposure",
        "high throughput",
        "chemical prioritization",
        "food contact substances",
        "food packaging",
        "ExpoCast",
        "SHEDS"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "All_Datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374398/All_Datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-08",
      "references": [
        "https://doi.org/10.1016/j.envint.2017.08.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374398/documents/DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Climiate Resilience Screening Index and Domain Scores",
      "description": "CRSI and related-domain scores for all 50 states and 3135 counties in the U.S. This dataset is not publicly accessible because: They are already available within the product. It can be accessed through the following means: Interested audiences can copy the relevant table(s) from the appropriate appendix and copy into another software package, such as Excel, for use. Format: Table-formatted results as appendices within the product (report). \n\nThis dataset is associated with the following publication:\nSummers, K., L. Harwell, K. Buck, L. Smith, J. Harvey, D. Vivian, J. Bousquin, M. McLaughlin, and S. Hafner. Development of a Climate Resilience Screening Index (CRSI): An Assessment of Resilience to Acute Meteorological Events and Selected Natural Hazards. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1393586",
      "keyword": [
        "resilience",
        "indicators",
        "community",
        "governance",
        "natural hazards",
        "CRSI"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [],
      "modified": "2017-07-10",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100SSN6.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Retrospective_Mining_of_Tox_Data_Anemia_Case_Study_RegToxPharm Data",
      "description": "Data from a study to critically examine some of the issues of using data from ToxRefDB, a database largely composed of guideline studies for pesticidal active ingredients, using a case study focusing on chemically-induced anemia. \n\nThis dataset is associated with the following publication:\nJudson, R.S., M. Martin, G. Patlewicz, and C.E. Wood. (Reg. Tox. Pharm.) Retrospective Mining of Toxicology Data to Discover Multispecies and Chemical Class Effects: Anemia as a Case Study.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 86: 74-92, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1392996",
      "keyword": [
        "ToxRefDB",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/STAFF/rjudson/publications/Judson%20Anemia%202017/",
          "accessURL": "https://gaftp.epa.gov/comptox/STAFF/rjudson/publications/Judson%20Anemia%202017/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-21",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2017.02.015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "This file contains data used to generate figures shown in Phelps et al. Microbial colonization is required for normal neurobehavioral development in zebrafish. Scientific Reports. 2017.",
      "description": "Data used to generate figures shown in Phelps et al. \n\nThis dataset is associated with the following publication:\nPhelps, D., N. Brinkman, S. Keely, E. Anneken, T. Catron, D. Betancourt, C. Wood, S. Espenschied, J. Rawls, and T. Tal. Microbial colonization is required for normal neurobehavioral development in zebrafish.   Scientific Reports. Nature Publishing Group, London,  UK, 11(7): 11244, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1393821",
      "keyword": [
        "zebrafish",
        "microbiome",
        "microbiota",
        "DNT",
        "developmental neurotoxicity",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Tamara Tal",
        "hasEmail": "mailto:tal.tamara@epa.gov"
      },
      "distribution": [
        {
          "title": "20170830_ScienceHub_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393821/20170830_ScienceHub_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-30",
      "references": [
        "https://doi.org/10.1038/s41598-017-10517-5",
        "https://pasteur.epa.gov/uploads/10.23719/1393821/documents/20170830_ScienceHub_FINAL.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tissue disposition of bifenthrin in the rat",
      "description": "Tissue disposition of bifenthrin in the rat and oral and intravenous administration. \n\nThis dataset is associated with the following publication:\nHughes , M., D. Ross , B. Edwards , M. DeVito, and J. Starr. Tissue time course and bioavailability of the pyrethroid insecticide bifenthrin in the Long-Evans rat.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 46(5): 430-438, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390107",
      "keyword": [
        "bifenthrin",
        "bioavailability",
        "pyrethroid",
        "pesticides",
        "pyrethroids",
        "disposition"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "bifenthrin tissue concentration normalized by dose.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390107/bifenthrin%20tissue%20concentration%20normalized%20by%20dose.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Serial blood bifenthrin concentrations after oral or iv admin.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390107/Serial%20blood%20bifenthrin%20concentrations%20after%20oral%20or%20iv%20admin.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-01",
      "references": [
        "https://doi.org/10.3109/00498254.2015.1081710"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Computational Model of Secondary Palate Fusion and Disruption ChemResTox Data",
      "description": "Morphogenetic events are driven by cell-generated physical forces and complex cellular dynamics. To improve our capacity to predict developmental effects from cellular alterations, we built a multi-cellular agent-based model in CompuCell3D that recapitulates the cellular networks and collective cell behavior underlying growth and fusion of the mammalian secondary palate. The model incorporated multiple signaling pathways (TGF?, BMP, FGF, EGF, SHH) in a biological framework to recapitulate morphogenetic events from palatal outgrowth through midline fusion. It effectively simulated higher-level phenotypes (e.g., midline contact, medial edge seam (MES) breakdown, mesenchymal confluence, fusion defects) in response to genetic or environmental perturbations. Perturbation analysis of various control features revealed model functionality with respect to cell signaling systems and feedback loops for growth and fusion, diverse individual cell behaviors and collective cellular behavior leading to physical contact and midline fusion, and quantitative analysis of the TGF/EGF switch that controls MES breakdown – a key event in morphogenetic fusion. The virtual palate model was then executed with theoretical chemical perturbation scenarios to simulate switch behavior leading to a disruption of fusion following chronic (e.g., dioxin) and acute (e.g., retinoic acid, hydrocortisone) toxicant exposures. This computer model adds to similar systems models toward a ‘virtual embryo’ for simulation and quantitative prediction of adverse developmental outcomes following genetic perturbation and/or environmental. \n\nThis dataset is associated with the following publication:\nHutson, S., M. Leung, N. Baker, R. Spencer, and T. Knudsen. (CHEMICAL RESEARCH IN TOXICOLOGY) Computational Model of Secondary Palate Fusion and Disruption.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 30(4): 965-979, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395041",
      "keyword": [
        "Computational Biology",
        "Morphogenetic fusion",
        "Predictive Toxicology",
        "Children’s Health",
        "Agent-Based Model",
        "CompuCell3D",
        "Developmental Toxicity",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Knudsen/Computational_Model_of_Secondary_Palate_Fusion/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Knudsen/Computational_Model_of_Secondary_Palate_Fusion/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-26",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.6b00350"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stachler et al. 2017 Figure 2 data",
      "description": "Estimated mean log10 concentration of genetic markers for CQQ_056, CPQ_064, HF183/BacR287, and HumM2 genetic markers in nine sewage and two surface water samples. \n\nThis dataset is associated with the following publication:\nStachler, E., C. Kelty, M. Sivaganesan, X. Li, K. Bibby, and O. Shanks. Quantitative CrAssphage PCR Assays for Human Fecal Pollution Measurement.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(16): 9146-9154, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1395008",
      "keyword": [
        "Microbial Source Tracking",
        "human fecal pollution",
        "qPCR",
        "CrAssphage",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Stachler et al 2017_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395008/Stachler%20et%20al%202017_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1021/acs.est.7b02703"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for Suen et al_A-0zpd ",
      "description": "Tables, Figures, and Supplemental Materials for doi: 10.1158/1541-7786.MCR-16-0084. \n\nThis dataset is associated with the following publication:\nSuen, A., W. Jefferson, C. Wood, E. Padilla-Banks, V. Bae-Jump, and C. Williams. SIX1 Oncoprotein as a Biomarker in a Model of Hormonal Carcinogenesis and in Human Endometrial Cancer..   Molecular Cancer Research. American Association for Cancer Research, Inc., Philadelphia, PA, USA, 14(9): 849-858, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395063",
      "keyword": [
        "biomarker",
        "oncofetal",
        "diethylstilbestrol",
        "estrogenic chemicals",
        "estrogen",
        "uterine cancer"
      ],
      "contactPoint": {
        "fn": "Charles Wood",
        "hasEmail": "mailto:wood.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Suen et al_A-0zpd_Tables 1-2, S1, S2_v2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395063/Suen%20et%20al_A-0zpd_Tables%201-2%2C%20S1%2C%20S2_v2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Suen et al_A-0zpd_Figures 1-4,S1_v2.7.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395063/Suen%20et%20al_A-0zpd_Figures%201-4%2CS1_v2.7.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-24",
      "references": [
        "https://doi.org/10.1158/1541-7786.mcr-16-0084"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "County Level Risk scores broken down into three land-types (natural, dual-benefit, and built) as well as three year-ranges (2000-2005, 2005-2010, and 2010-2015). ",
      "description": "The data set contains four tables with all U.S. counties.  Three of the data tables are for the 5-year ranges, while the fourth contains the overall risk score.  Within each table is a breakdown of risk by land type (natural, dual-benefit, and built) along with an overall risk score. \n\nThis dataset is associated with the following publications:\nSummers, K., L. Harwell, K. Buck, L. Smith, J. Harvey, D. Vivian, J. Bousquin, M. McLaughlin, and S. Hafner. Development of a Climate Resilience Screening Index (CRSI): An Assessment of Resilience to Acute Meteorological Events and Selected Natural Hazards. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.\nBuck, K., K. Summers, S. Hafner, L. Harwell, and L. Smith. Development of a Multi-Hazard Landscape for Exposure and Risk Interpretation: The PRISM Approach.   Current Environmental Engineering. Bentham Science Publishers, Ltd., Oak Park, IL, USA, 6(1): 74-94, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1394633",
      "keyword": [
        "Risk",
        "resilience",
        "multiple stressors",
        "natural hazards",
        "technological hazards",
        "counties"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "PRISM_ScienceHubEntry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394633/PRISM_ScienceHubEntry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-28",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100SSN6.txt",
        "https://doi.org/10.2174/2212717806666190204103455"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nickel proteomics data",
      "description": "The dataset include the following figures and tables: 1)Changes in protein expression of the 14 pathway regulators induced by Ni (II). 2)Hierarchical clustering of 12 differentially expressed or phosphorylated proteins in BEAS-2B cells treated with Ni (II). 3) Relative cell survival (X-axis) vs. protein expression or phosphorylation levels (Y-axis) in BEAS-2B control cells treated with Ni (II) at 4 different concentrations 4)Four representative proteins, PDIA1, ACADM, RUVBL1, PRDX2 identified using 2-DE profiling were either increased or decreased in a concentration responsive manner 5)Networks of proteins showing inter-relationships and pathways which was obtained using IPA 6)Schematic representation of the interplay of the core proteins and cytotoxicity pathways mediated by Ni (II).  7) some supplementary data. \n\nThis dataset is associated with the following publication:\nGe , Y., M. Bruno , N. Coates , K. Wallace , D. Andrews , A. Swank , W. Winnik , and J. Ross. Proteomic Assessment of Biochemical Pathways That Are Critical to Nickel-Induced Toxicity Responses in Human Epithelial Cells.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(9): 1-20, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1395012",
      "keyword": [
        "nickel proteomic profile",
        "nickel",
        "dose response",
        "protein expression",
        "phosphorylation",
        "proteomics",
        "cytotoxicity",
        "metals",
        "sys-tems biology",
        "ELISA",
        "human epithelial cells"
      ],
      "contactPoint": {
        "fn": "Yue Ge",
        "hasEmail": "mailto:ge.yue@epa.gov"
      },
      "distribution": [
        {
          "title": "Nickel data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395012/Nickel%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data  for figure 1 3 and 4B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395012/data%20%20for%20figure%201%203%20and%204B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1371/journal.pone.0162522"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1395012/documents/data%20%20for%20figure%201.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set for the manuscript entitled, \"Sample Processing Approach for Detection of Ricin in Surface Samples.\"",
      "description": "Figure. \n\nThis dataset is associated with the following publication:\nShah, S., S. Kane, A.M. Erler, and T. Alfaro. Sample Processing Approach for Detection of Ricin in Surface Samples  [HS7.52.04 - 0671].   JOURNAL OF IMMUNOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA,  9, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390124",
      "keyword": [
        "Ricin",
        "Sample Processing",
        "Indoor-Outdoor Decontamination",
        "Biotoxin"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "ShahSanjivkumar_HS7-52-04-0641_Data-Metadata_RicinSampleprocessingManuscript_20170331.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390124/ShahSanjivkumar_HS7-52-04-0641_Data-Metadata_RicinSampleprocessingManuscript_20170331.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-21",
      "references": [
        "https://doi.org/10.1016/j.jim.2017.08.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390124/documents/ShahSanjivkumar_HS7-52-04-0641_Data-Metadata_RicinSampleprocessingManuscript_20170227.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Potential Wetland Restoration Indicators data for the EnviroAtlas",
      "description": "Data is based on overlap of topographic, soil drainage, and national wetland inventory areas. \n\nThis dataset is associated with the following publication:\nHorvath, E., J. Christensen, M. Mehaffey, and A. Neale. Building a Potential Wetland Restoration Indicator for the Contiguous United States..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 83: 462-473, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1371467",
      "keyword": [
        "compound topographic index",
        "soil drainage",
        "national wetland inventory",
        "wetland restoration",
        "mapping methods",
        "contiguous United States",
        "ecosystem services",
        "EnviroAtlas",
        "geographic information systems"
      ],
      "contactPoint": {
        "fn": "Elena Horvath",
        "hasEmail": "mailto:horvath.elena@epa.gov"
      },
      "distribution": [
        {
          "title": "Table1_SoilDrainageandTopography.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371467/Table1_SoilDrainageandTopography.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table2_PotentialWetlandandNWI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371467/Table2_PotentialWetlandandNWI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table3_PotentiallyRestorableWetland.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371467/Table3_PotentiallyRestorableWetland.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/enviroatlas/enviroatlas-data",
          "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://edg.epa.gov/metadata/rest/document?id=%7B669E59E0-F583-4D98-A0D6-6C68E2E97C76%7D",
          "accessURL": "https://edg.epa.gov/metadata/rest/document?id=%7B669E59E0-F583-4D98-A0D6-6C68E2E97C76%7D",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-19",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2017.07.026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Recreational freshwater fishing drives non-native aquatic species richness patterns at a continental scale",
      "description": "Aim. Mapping the geographic distribution of non-native aquatic species is a critically important precursor to understanding the anthropogenic and environmental factors that drive freshwater biological invasions. Such efforts are often limited to local scales and/or to single species, due to the challenges of data acquisition at larger scales. Here we map the distribution of exotic freshwater species richness across the continental United States and investigate the role of human activity in driving macroscale patterns of aquatic invasion. \n\nLocation. The continental United States.\n\nMethods. We assembled maps of non-native aquatic species richness by compiling occurrence data on exotic animal and plant species from publicly accessible databases. Using a dasymetric model of human population density and a spatially explicit model of recreational freshwater fishing demand we analyzed the effect of these metrics of human influence on the degree of invasion at the watershed scale, while controlling for spatial and sampling bias. We also assessed the effects that a temporal mismatch between occurrence data (collected since 1815) and cross-sectional predictors (developed using 2010 data) may have on model fit. \n\nResults. Non-native aquatic species richness exhibits a highly patchy distribution, with hotspots in the Northeast, Great Lakes, Florida, and human population centers on the Pacific coast. These richness patterns are correlated with population density, but are much more strongly predicted by patterns of recreational fishing demand. These relationships are strengthened by temporal matching of datasets and are robust to corrections for sampling effort.\n\nMain Conclusions. Distributions of aquatic invasive species across the continental US are better predicted by freshwater recreational fishing than by human population density. This suggests that observed patterns are driven by a mechanistic link between recreational activity and aquatic invasive species richness, and are not merely the outcome of sampling bias associated with human population density. \n\nThis dataset is associated with the following publication:\nDavis, A., and J. Darling. Recreational freshwater fishing drives non-native aquatic species richness patterns at a continental scale (journal).   Diversity and Distributions. Blackwell Publishing Limited, Oxford,  UK, 23(6): 692-702, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377814",
      "keyword": [
        "Aquatic invasive species",
        "non-native species richness",
        "populations density",
        "recreational water",
        "sampling effort",
        "rarefaction",
        "non-indigenous aquatic species",
        "biodiversity",
        "threatened and endangered species",
        "geospatial analysis",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "JohnDarling_A-c86j_DDdata_20170831.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377814/JohnDarling_A-c86j_DDdata_20170831.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-14",
      "references": [
        "https://doi.org/10.1111/ddi.12557"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1377814/documents/JohnDarling_A-c86j_DDmetadata_20170831.xml",
        "mediaType": "application/xml"
      },
      "accessRights": "public"
    },
    {
      "title": "HTTK R Package v1.4 - JSS Article on HTTK: R Package for High-Throughput Toxicokinetics",
      "description": "httk: High-Throughput Toxicokinetics\n\nFunctions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting \"PBTK\" models to \"SBML\" and \"JARNAC\" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation (\"IVIVE\") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as \"RTK\"). \n\nThis dataset is associated with the following publication:\nPearce , R., C. Strope , W. Setzer , N. Sipes , and J. Wambaugh. (Journal of Statistical Software) HTTK: R Package for High-Throughput Toxicokinetics.   Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 79(4): 1-26, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390267",
      "keyword": [
        "in vitro to in vivo extrapolation (IVIVE)",
        "PBPK-reverse dosimetry",
        "pbpk",
        "ToxCast",
        "toxicokinetics",
        "physiologically-based pharmacokinetic model",
        "httk",
        "high throughput toxicokinetics",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-03",
      "references": [
        "https://doi.org/10.18637/jss.v079.i04",
        "https://www.jstatsoft.org/article/view/v079i04"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HTTK R Package v1.5 - Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability",
      "description": "httk: High-Throughput Toxicokinetics\n\nFunctions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting \"PBTK\" models to \"SBML\" and \"JARNAC\" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation (\"IVIVE\") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as \"RTK\"). \n\nThis dataset is associated with the following publication:\nRing, C., R. Pearce, W. Setzer, B. Wetmore, and J. Wambaugh. (Environment International)  Refining high-throughput prioritization of environmental chemicals to include inter-individual variability across subpopulations.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 106: 105-118, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390268",
      "keyword": [
        "pbtk",
        "physiologically-based pharmacokinetic model",
        "in vitro in vivo extrapolation",
        "ToxCast",
        "PBPK-reverse dosimetry",
        "r package",
        "httk",
        "high throughput toxicokinetics",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-03",
      "references": [
        "https://doi.org/10.1016/j.envint.2017.06.004",
        "https://www.sciencedirect.com/science/article/pii/S0160412017301204?via%3Dihub",
        "https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc1.xlsx",
        "https://ars.els-cdn.com/content/image/1-s2.0-S0160412017301204-mmc2.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets in Gene Expression Omnibus used in the study ORD-019001: Compensatory changes in CYP expression in three different toxicology mouse models: CAR-null, Cyp3a-null, and Cyp2b9/10/13-null mice.",
      "description": "Accession numbers of microarray data sets used in the analysis. \n\nThis dataset is associated with the following publication:\nKumar, R., L. Mota, E. Litoff, J. Rooney, T. Boswell, E. Courter, C. Henderson, J. Hernandez, C. Corton, D. Moore, and W. Baldwin. Compensatory changes in CYP expression in three different toxicology mouse models: CAR-null, Cyp3a-null, and Cyp2b9/10/13-null mice.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(3): 1-24, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1389078",
      "keyword": [
        "microarray accession numbers",
        "microarray",
        "constitutive activated receptor (CAR)",
        "Cyp2b",
        "Cyp3a"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-xOkz.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389078/Data%20submission%20for%20A-xOkz.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-20",
      "references": [
        "https://doi.org/10.1371/journal.pone.0174355"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Judson_Mansouri_Automated_Chemical_Curation_QSAREnvRes_Data",
      "description": "Here we describe the development of an automated  KNIME workflow to curate and correct errors in the structure and identity of chemicals using the publically available PHYSPROP physico-chemical properties and environmental fate datasets. The workflow first assembles structure-identity pairs using up to four provided chemical identifiers, including chemical name, CASRNs, SMILES, and MolBlock. Problems detected  included errors and mismatches in chemical structure formats, identifiers, and various structure validation issues, including hypervalency and stereochemistry descriptions. Subsequently, a machine learning procedure was applied to evaluate the impact of this curation process. The performance of QSAR models built on only the highest quality subset of the original dataset was compared to the larger curated and corrected data set. The latter showed statistically improved predictive performance. The final workflow was used to curate the full list of PHYSPROP datasets, and is being made publically available for further usage and integration by the scientific community. \n\nThis dataset is associated with the following publication:\nMansouri, K., C. Grulke, A. Richard, R. Judson, and A. Williams. (SAR AND QSAR IN ENVIRONMENTAL RESEARCH) An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modeling.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 27(11): 911-937, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1394621",
      "keyword": [
        "DSSTox",
        "Data curation",
        "QSAR modeling",
        "physicochemical properties",
        "Open Data",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/Chemistry_Dashboard/PHYSPROP_Analysis/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/Chemistry_Dashboard/PHYSPROP_Analysis/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-13",
      "references": [
        "https://doi.org/10.1080/1062936x.2016.1253611"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in ORD-018902: Bisphenol A alternatives can effectively substitute for estradiol ",
      "description": "Gene Expression Omnibus numbers only. \n\nThis dataset is associated with the following publication:\nMesnage, R., A. Phedonos, M. Arno, S. Balu, C. Corton, and M. Antoniou. Transcriptome profiling reveals bisphenol A alternatives activate estrogen receptor alpha in human breast cancer cells.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    158(2): 431-443, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376229",
      "keyword": [
        "bisphenol A alternatives",
        "endocrine disruption",
        "MCF-7 cell line",
        "human breast cancer",
        "estrogen receptor"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-6wwx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376229/Data%20submission%20for%20A-6wwx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx101"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IATA-Bayesian Network Model for Skin Sensitization Data",
      "description": "Since the publication of the Adverse Outcome Pathway (AOP) for skin sensitization, there have been many efforts to develop systematic approaches to integrate the information generated from different key events for decision making. The types of information characterizing key events in an AOP can be generated from in silico, in chemico, in vitro or in vivo approaches. Integration of this information and interpretation for decision making are known as integrated approaches to testing and assessment or IATA. One such IATA that has been developed was published by Jaworska et al (2013) which describes a Bayesian network model known as ITS-2. The current work evaluated the performance of ITS-2 using a stratified cross validation approach.  We also characterized the impact of refinements to the network by replacing the most significant component, the output from a commercial expert system TIMES-SS with structural alert information readily generated from the freely available OECD QSAR Toolbox. Lack of any structural alert flags or TIMES-SS predictions, yielded a sensitization potential prediction of 79% +3%/-4%. If the TIMES-SS prediction was replaced by an indicator for the presence of a structural alert, the network predictivity increased to 84% +2%/-4%, which was only slightly less than found for the original network (89% &plusmn;2%). The local applicability domain of the original ITS-2 network was also evaluated using reaction mechanistic domains to better understand what types of chemicals ITS-2 was able to make the best predictions for &ndash; i.e. a local validity domain analysis.  We ultimately found that the original network was successful at predicting which chemicals would be sensitizers, but not at predicting their relative potency. \n\nThis dataset is associated with the following publication:\nFitzpatrick, J., and G. Patlewicz. (SAR AND QSAR IN ENVIRONMENTAL RESEARCH) Application of IATA - A case study in evaluating the global and local performance of a Bayesian Network model for Skin Sensitization.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(4): 297-310, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395040",
      "keyword": [
        "skin sensitization",
        "IATA",
        "qsar",
        "ITS",
        "Bayesian network model",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/PatlewiczGrace/IATA_and_Bayesian_Network_Model_for_Skin_Sensitization/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/PatlewiczGrace/IATA_and_Bayesian_Network_Model_for_Skin_Sensitization/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-07",
      "references": [
        "https://doi.org/10.1080/1062936x.2017.1311941"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying Prevalent Chemical Mixtures in the US Population EHP Data",
      "description": "Frequent itemset mining (FIM), a technique used for finding patterns in consumer purchasing behavior, can be applied to data from large-scale biomonitoring studies to identify combinations of chemicals that frequently co-occur in people. As a proof of concept, we applied FIM to biomonitoring data from the National Health and Nutrition Examination Survey. In this way, we identified 90 chemical combinations consisting of relatively few chemicals that occur in at least 30% of the US population, as well as 3 super-combinations consisting of relatively many chemicals that occur in a small but non-negligible proportion of the US population. Thus, we have demonstrated a technique for narrowing a large number of possible chemical combinations down to a much smaller collection of prevalent chemical combinations. \n\nThis dataset is associated with the following publication:\nKapraun, D.F., J.F. Wambaugh, R. Tornero-Velez, and R.W. Setzer. (ENVIRONMENTAL HEALTH PERSPECTIVES) Identifying Prevalent Chemical Mixtures in the US Population.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(8): 1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395052",
      "keyword": [
        "chemical mixtures",
        "frequent itemset mining (FIM)",
        "NHANES",
        "biomonitoring",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ehp.niehs.nih.gov/EHP1265/#tab3",
          "accessURL": "https://ehp.niehs.nih.gov/EHP1265/#tab3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-24",
      "references": [
        "https://doi.org/10.1289/ehp1265"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets in Gene Expression Omnibus used in the study ORD-020382: Evaluation of estrogen receptor alpha activation by glyphosate-based herbicide constituents ",
      "description": "GEO accession number of the microarray study. \n\nThis dataset is associated with the following publication:\nMesnage, R., A. Phedonos, M. Biserni, M. Arno, S. Balu, C. Corton, R. Ugarte, and M. Antoniou. Evaluation of estrogen receptor alpha activation by glyphosate-based herbicide constituents.   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 108: 30-42, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376228",
      "keyword": [
        "glyphosate",
        "estrogen receptor",
        "breast cancer",
        "MCF-7 cells"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-pk17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376228/Data%20submission%20for%20A-pk17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-01",
      "references": [
        "https://doi.org/10.1016/j.fct.2017.07.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling",
      "description": "Microarray datasets used in the analysis. \n\nThis dataset is associated with the following publication:\nRosen, M., K. Das, J. Rooney, B. Abbott, C. Lau, and C. Corton. PPARα-independent transcriptional targets of perfluoroalkyl acids revealed by transcript profiling.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 387: 95-107, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376226",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "perfluorinated chemicals",
        "microarray",
        "liver cancer",
        "steatosis",
        "constitutive activated receptor (CAR)",
        "peroxisome proliferator-activated receptor gamma",
        "peroxisome proliferator-activated receptor alpha",
        "estrogen receptor",
        "STAT5b",
        "PFOA",
        "PFOS",
        "PFNA",
        "PFHxS"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-zkhs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376226/Data%20submission%20for%20A-zkhs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-13",
      "references": [
        "https://doi.org/10.1016/j.tox.2017.05.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Precipitation and stream water stable isotope data from the Marys River, Oregon in water year 2015.",
      "description": "Water stable isotope data collected from a range of streams throughout the Marys River basin in water year 2015, and precipitation data collected within the basin at a range of elevations. \n\nThis dataset is associated with the following publication:\nNickolas, L., C. Segura, and J.R. Brooks. The influence of lithology on surface water sources.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 31(10): 1913-1925, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1396010",
      "keyword": [
        "Marys River",
        "Oregon",
        "Corvallis",
        "precipitation",
        "streamflow",
        "lithology",
        "water resources",
        "river flow",
        "stable isotopes",
        "water supply",
        "geology",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "Stable Isotope Stream data from Marys River Basin - OR WY2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396010/Stable%20Isotope%20Stream%20data%20from%20Marys%20River%20Basin%20-%20OR%20WY2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Stable Isotope Precipitation data from Marys River Basin - OR WY2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396010/Stable%20Isotope%20Precipitation%20data%20from%20Marys%20River%20Basin%20-%20OR%20WY2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-12",
      "references": [
        "https://doi.org/10.1002/hyp.11156"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sorption of cesium onto the mineral phases and cement ",
      "description": "Numerical data corresponding to manuscript figures. \n\nThis dataset is associated with the following publication:\nKaminski, M., C. Mertz, J. Jerden, M. Kalensky, N. Kivenas , and M. Magnuson. Sorption of cesium onto the mineral phases and cement of concrete and desorption into simple salt solutions.   JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA,  165-171, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390161",
      "keyword": [
        "radiological urban decontamination",
        "cesium",
        "Concrete",
        "cement",
        "RDD",
        "gross decontamination",
        "indoor/outdoor decontamination",
        "IWATERS",
        "nuclear power plant",
        "NPP",
        "IND",
        "nuclear"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Cs aggregate concrete_Data-hmh5_SDMP_20170301.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390161/Cs%20aggregate%20concrete_Data-hmh5_SDMP_20170301.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-24",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.07.077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "County-Level Human Well-Being Index and Domain Scores (2000-2010) plus EQI data set (2000-2005)",
      "description": "The HWBI_Draft_1 is an internal map service being prepared for public release (early FY18). This map services contains mean county-level HWBI, domain, indicators and service scores related to research efforts completed in 2014. The EQI map service is a publically accessible map services that contains average county-level results for 2000-2005. \n\nThis dataset is associated with the following publication:\nHarwell, L., L. Smith, and K. Summers. Modified HWBI Model(s) Linking Service Flows to Well-Being Endpoints: Accounting for Environmental Quality. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1395339",
      "keyword": [
        "HWBI",
        "EQI",
        "indicators",
        "composite index"
      ],
      "contactPoint": {
        "fn": "Linda Harwell",
        "hasEmail": "mailto:harwell.linda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gispub.epa.gov/arcgis/rest/services/ORD/HumanWellBeingIndex/MapServer",
          "accessURL": "https://gispub.epa.gov/arcgis/rest/services/ORD/HumanWellBeingIndex/MapServer",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gispub.epa.gov/arcgis/rest/services/ORD/EnvironmentalQualityIndex/MapServer",
          "accessURL": "https://gispub.epa.gov/arcgis/rest/services/ORD/EnvironmentalQualityIndex/MapServer",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-26",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100ST29.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Acute Toxicity of Major Ions to Ceriodaphnia dubia. II. Empirical Relationships in Binary Salt Mixtures",
      "description": "This dataset provides concentration-response data and associated general chemistry conditions for 29 experiments consisting of 209 tests regarding the acute toxicity of binary mixtures of major ions to Ceriodaphnia dubia; it also provides LC50 estimates and the estimated ion mixtures at the LC50 for each toxicity test. \n\nThis dataset is associated with the following publication:\nErickson, R., D. Mount, T. Highland, R. Hockett, D. Hoff, C. Jenson, T. Norberg-King, and K. Peterson. The acute toxicity of major ion salts to Ceriodaphnia dubia.  II.  Empirical relationships in binary salt mixtures.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(6): 1525-1537, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1395341",
      "keyword": [
        "Ceriodaphnia dubia",
        "Acute Toxicity",
        "Binary Salt Mixtures",
        "Major Ion Toxicity",
        "Freshwater"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "MEDIonToxPaper2_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395341/MEDIonToxPaper2_Dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-28",
      "references": [
        "https://doi.org/10.1002/etc.3669"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1395341/documents/MEDIonToxPaper2_DataDictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "qPCR data for calanoids in Lake Harsha",
      "description": "raw data for qPCR assays",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1396166",
      "keyword": [
        "qPCR",
        "rt-qpcr",
        "copepods"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "SantodomingoJorge_A-vdp4_database _20160918 qPCR for calanoids in Lake Harsha.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396166/SantodomingoJorge_A-vdp4_database%20_20160918%20qPCR%20for%20calanoids%20in%20Lake%20Harsha.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Advanced Error Diagnostics of the CMAQ and CHIMERE modeling systems within the AQMEII3 Model Evaluation Framework\" ",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Advanced Error Diagnostics of the CMAQ and CHIMERE modeling systems within the AQMEII3 Model Evaluation Framework\" led by Dr. Efisio Solazzo of the European Commission's Joint Research Center. \n\nThis dataset is associated with the following publication:\nSolazzo, E., C. Hogrefe, A. Colette, M. Garcia-Vivanco, and S. Galmarini. Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 10435-10465, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390127",
      "keyword": [
        "air quality model evaluation",
        "spectral decomposition",
        "error apportionment",
        "ozone diurnal cycle",
        "error persistence"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "data_SolazzoEtAl_Sensitivities.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390127/data_SolazzoEtAl_Sensitivities.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-31",
      "references": [
        "https://doi.org/10.5194/acp-17-10435-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390127/documents/HogrefeChristian_A-sbd0_DataDescription.zip",
        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Assessing background levels of specific conductivity using weight of evidence 508 compliant",
      "description": "Data contains sampling station locations with physical and chemical data.\nData: stations 508.xlsx (Ohio dataset), env.bio70 508.xlsx (WV biological station dataset). \n\nThis dataset is associated with the following publication:\nCormier, S., L. Zheng, G. Suter, and C. Flaherty. Assessing background levels of specific conductivity using weight of evidence.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 628-629: 1637-1649, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1402418",
      "keyword": [
        "Ohio",
        "West Virginia",
        "chemistry",
        "conductivity",
        "background",
        "regional",
        "water quality",
        "applicability",
        "stream",
        "weight of evidence"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Background WoE 508.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1402418/Data%20for%20Background%20WoE%20508.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.02.017",
        "https://pasteur.epa.gov/uploads/10.23719/1402418/documents/DataDictionaryCond_DataFileColumnMetadata_20161221.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Na and Ca on particle size; Effect of filtering on UV absorbance",
      "description": "Effects of Na and Ca on particle size; Effect of filtering on UV absorbance. \n\nThis dataset is associated with the following publication:\nBouchard, D., C. Knightes, X. Chang, and B. Avant. Simulating Multiwalled Carbon Nanotube Transport in Surface Water Systems Using the Water Quality Analysis Simulation Program (WASP).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(19): 11174–11184, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1393469",
      "keyword": [
        "carbon nanotubes",
        "MWCNTs",
        "nanomaterials",
        "wasp8",
        "water quality modeling"
      ],
      "contactPoint": {
        "fn": "Dermont Bouchard",
        "hasEmail": "mailto:bouchard.dermont@epa.gov"
      },
      "distribution": [
        {
          "title": "A-hhmz_filterUVeffects.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393469/A-hhmz_filterUVeffects.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A-hhmz_NaCa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393469/A-hhmz_NaCa.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://doi.org/10.1021/acs.est.7b01477"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Dictionary for \"Comparison of soil sampling and analytical methods for asbestos at the Sumas Mountain Asbestos Site—Working towards a toolbox for better assessment\", Version 1 (8/28/2017); by D.A. Vallero (ORD-NERL) and J. Wroble (Region 10).",
      "description": "Definition of terms used in manuscript's technical descriptions, tables and figure. \n\nThis dataset is associated with the following publication:\nWroble, J., T. Frederick, A. Frame, and D. Vallero. Comparison of soil sampling and analytical methods for asbestos at the Sumas Mountain Asbestos Site—Working towards a toolbox for better assessment.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(7): e0180210, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376845",
      "keyword": [
        "activity based sampling (ABS)",
        "ASTM D 7521",
        "CARB 435",
        "decision unit",
        "EPA 200.2",
        "EPA 200.7",
        "FBAS/ISO 10312",
        "asbestos",
        "sediment",
        "naturally occurring asbestos",
        "transmission electronic microscopy (TEM)"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "data dictionary_ValleroDaniel_A-02vb_SDMP_20170822.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376845/data%20dictionary_ValleroDaniel_A-02vb_SDMP_20170822.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-28",
      "references": [
        "https://doi.org/10.1371/journal.pone.0180210"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1376845/documents/data%20dictionary_ValleroDaniel_A-02vb_SDMP_20170822.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Air and Soil Data Files from Sumas Study",
      "description": "The data are summarized in the manuscript, but users may wish to apply them from these files. \n\nThis dataset is associated with the following publication:\nWroble, J., T. Frederick, A. Frame, and D. Vallero. Comparison of soil sampling and analytical methods for asbestos at the Sumas Mountain Asbestos Site—Working towards a toolbox for better assessment.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(7): e0180210, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1404696",
      "keyword": [
        "naturally occurring asbestos",
        "contaminated soil",
        "asbestos in air",
        "sediment",
        "transmission electronic microscopy (TEM)",
        "asbestos"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "AirDataSumas.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1404696/AirDataSumas.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SoilMetalsDataSumas.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1404696/SoilMetalsDataSumas.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-18",
      "references": [
        "https://doi.org/10.1371/journal.pone.0180210"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Production, emissions and economic as well as historical marketing data for the pulp and paper industries in the United States",
      "description": "The pulp & paper sector database contains the entire population of integrated and non-integrated pulp and paper mills (approx. 663 mills) and their products in the U.S. Ion this database, all paper products in the modeling framework are grouped into eight major categories: 1) containerboard, 2) boxboard and other board, 3) packaging and industrial paper, 4) corrugating medium, 5) newsprint, 6) tissue, 7) coated printing and writing paper, and 8) uncoated printing and writing paper. The inputs data contain industry-specific data, market-specific data, and optimization parameters. Data outputs include optimized mitigation options and optimized economic parameters of products. The input data that are specific to the pulp and paper industry characterize the following aspects of individual facilities: unit-level production for each category of products, capacity, production cost (material, operations, and maintenance costs) (RISI 2011), capital cost, fuel types and cost, information about emissions sources (boilers, recovery furnaces, and lime kilns), mitigation technologies (emission controls), energy efficiency measures, and fuel emission intensities. The data related to mitigation technologies provide information regarding applicable air pollution control technologies, their costs, and their emission control characteristics. Similarly, data related to measures intended to increase energy efficiency provide information regarding applicable energy efficiency measures, their costs, and their characteristics. The market data consist of historical and projected nationwide commodity consumption, discount rates, cost of electricity, escalation rates, economic life of technologies, and import and export quantities and prices. \n\nThis dataset is associated with the following publication:\nBhander , G., and W. Jozewicz. Universal industrial sectors integrated solutions module\r\nfor the pulp and paper industry.   Nordic Pulp & Paper Research Journal. Mid Sweden University, Sundsvall,  SWEDEN, 32(3): 375-385, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390779",
      "keyword": [
        "historical & projected data",
        "mitigation technologies",
        "market-specific data",
        "industry-specific data",
        "pulp and paper sector",
        "emissions analysis",
        "modeling",
        "economic analysis",
        "mitigation options and cost",
        "environmental analysis",
        "multi-pollutant assessment"
      ],
      "contactPoint": {
        "fn": "Gurbakhash Bhander",
        "hasEmail": "mailto:bhander.gurbakhash@epa.gov"
      },
      "distribution": [
        {
          "title": "UISIS-PNP Model Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390779/UISIS-PNP%20Model%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UISIS-PNP Model Outputs Example.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390779/UISIS-PNP%20Model%20Outputs%20Example.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-05-22",
      "references": [
        "https://doi.org/10.3183/npprj-2017-32-03-p375-385"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of energy system changes on CO2 projections for the United States_data tables with data dictionary",
      "description": "Dataset that corresponds to paper titled Effects of recent energy system changes on CO2 projections for the United States. \n\nThis dataset is associated with the following publication:\nLenox, C., and D. Loughlin. Effects of recent energy system changes on CO2 projections for the United States.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 19(9): 2277-2290, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1394400",
      "keyword": [
        "energy",
        "systems analyses",
        "modeling",
        "Greenhouse gas",
        "air quality",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Carol Lenox",
        "hasEmail": "mailto:lenox.carol@epa.gov"
      },
      "distribution": [
        {
          "title": "LenoxLoughlin_paper_Effects of energy system changes_data tables with data dictionary_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394400/LenoxLoughlin_paper_Effects%20of%20energy%20system%20changes_data%20tables%20with%20data%20dictionary_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-08",
      "references": [
        "https://doi.org/10.1007/s10098-017-1417-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach",
      "description": "Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach. \n\nThis dataset is associated with the following publication:\nSteffens, J., S. Kimbrough, R. Baldauf, V. Isakov, R. Brown, A. Powell, and P. Deshmukh. Near-Port Air Quality Assessment Utilizing a Mobile Monitoring Approach.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 8(6): 1023-1030, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390082",
      "keyword": [
        "mobile monitoring",
        "air quality",
        "ports",
        "near source"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "KimbroughEvelyn_A-5qg0_Dataset_20160624.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390082/KimbroughEvelyn_A-5qg0_Dataset_20160624.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-29",
      "references": [
        "https://doi.org/10.1016/j.apr.2017.04.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Barrierless Reactions with Loose Transition States Govern the Yields and Lifetimes of Organic Nitrates Derived from Isoprene",
      "description": "The attached extensive computational chemistry dataset was succinctly presented by Piletic et al. (Journal of Physical Chemistry A, 2017, DOI: 10.1021/acs.jpca.7b08229) and involves detailed electronic structure (density functional theory - DFT) and kinetic calculation (master equation formalism) outputs for the reactions of isoprene peroxy radical isomers with NOx.  The first three tabs describe the potential energy surfaces (PESs) of the beta and delta hydroxy-peroxy isoprene isomers reacting with NO to produce NO2, HONO and organic nitrates.  Microcanonical rate constants and organic nitrate yield data are presented in the fourth and fifth tabs.  The PESs for the reactions of the E and Z delta hydroxy-peroxy isoprene isomers is given in the sixth tab while the seventh tab shows the PES data for the reaction of the hydroxyl radical with several organic nitrates. \n\nThis dataset is associated with the following publication:\nPiletic, I., E. Edney, and L. Bartolotti. Barrierless Reactions with Loose Transition States Govern the Yields and Lifetimes of Organic Nitrates Derived from Isoprene.   JOURNAL OF PHYSICAL CHEMISTRY A. American Chemical Society, Washington, DC, USA, 121(43): 8306-8321, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1400392",
      "keyword": [
        "isoprene",
        "organic nitrate",
        "HONO",
        "Chemical mechanisms",
        "air quality",
        "NOx",
        "pm2.5",
        "ozone concentrations",
        "CMAQ",
        "computational chemistry",
        "atmospheric chemistry"
      ],
      "contactPoint": {
        "fn": "Ivan Piletic",
        "hasEmail": "mailto:piletic.ivan@epa.gov"
      },
      "distribution": [
        {
          "title": "IsopreneOrganicNitrateManuscript_JPCA_2017_ScienceHub_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1400392/IsopreneOrganicNitrateManuscript_JPCA_2017_ScienceHub_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-16",
      "references": [
        "https://doi.org/10.1021/acs.jpca.7b08229"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1400392/documents/COMPCHEMDataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Macrophyte Community Response to Nitrogen Loading and Thermal Stressors in Rapidly Flushed Mesocosm Systems",
      "description": "Data represent response variables from a series of mesocosm experiments to assess how estuarine macrophyte communities respond to nitrogen loading under two different thermal regimes. \n\nThis dataset is associated with the following publication:\nKaldy, J., C. Brown, W. Nelson, and M. Frazier. Macrophyte Community Response to Nitrogen Loading and Thermal Stressors in Rapidly Flushed Mesocosm Systems.   JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY. Elsevier Science Ltd, New York, NY, USA, 497: 107-119, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1399579",
      "keyword": [
        "eutrophication",
        "seagrass",
        "macroalgae",
        "nutrients",
        "temperature",
        "Zostera marina",
        "Zostera japonica",
        "nutrient pollution index",
        "wasting disease"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Kaldy et al_Macrophyte Response_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1399579/Kaldy%20et%20al_Macrophyte%20Response_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1016/j.jembe.2017.09.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Digitized Onondaga Lake Dissolved Oxygen Concentrations and Model Simulated Values using Bayesian Monte Carlo Methods   ",
      "description": "The dataset is lake dissolved oxygen concentrations obtained form plots published by Gelda et al. (1996) and lake reaeration model simulated values using Bayesian Monte Carlo methods (Chaudhary and Hantush, 2017). The data also includes measured (Gelda et al., 1996 and references therein) versus estimated liquid film transfer coefficient values (KL) by Chaudhary and Hantush (2017). \n\nThis dataset is associated with the following publication:\nChaudhary, A., and M. Hantush. Bayesian Monte Carlo and Maximum Likelihood Approach for Uncertainty Estimation and Risk Management:  Application to Lake Oxygen Recovery Model.  Mark van Loosdrecht  WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 108: 301-311, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1405325",
      "keyword": [
        "Liquid film transfer coefficient",
        "Observed dissolved oxygen concentration",
        "Simulated dissolved oxygen concentration",
        "95% Confidence interval",
        "Bayesian statistics",
        "Monte Carlo method",
        "model calibration",
        "Uncertainty Estimation",
        "Markov Chain Monte Carlo",
        "Water Quality Management",
        "TMDL",
        "Margin of safety"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Lake reaeration paper_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1405325/ScienceHub_Lake%20reaeration%20paper_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-29",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.11.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Association rule mining data for census tract chemical exposure analysis",
      "description": "Chemical concentration, exposure, and health risk data for U.S. census tracts from National Scale Air Toxics Assessment (NATA). \n\nThis dataset is associated with the following publication:\nHuang, H., R. Tornero-Velez, and T. Barzyk. Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 27(6): 544-550, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390151",
      "keyword": [
        "multiple stressors",
        "Rule Mining",
        "Cumulative Risks",
        "Combined Effects",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Timothy Barzyk",
        "hasEmail": "mailto:barzyk.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "ARM Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390151/ARM%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-20",
      "references": [
        "https://doi.org/10.1038/jes.2017.15"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390151/documents/Data%20dictionary%20for%20ARM%20dataset.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ predicted concentration files",
      "description": "model predicted concentrations. \n\nThis dataset is associated with the following publication:\nMuñiz-Unamunzaga, M., R. Borge, G. Sarwar, B. Gantt, D. de la Paz, C. Cuevas, and A. Saiz-Lopez. The influence of ocean halogen and sulfur emissions in the air quality of a coastal megacity: The case of Los Angeles.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 610(611): 1536-1545, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390152",
      "keyword": [
        "air quality",
        "Marine natural emissions",
        "halogens",
        "DMS",
        "CMAQ",
        "Los Angeles",
        "urban air quality"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "COMBINE_CONC_SELECT_A_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390152/COMBINE_CONC_SELECT_A_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_SELECT_B_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390152/COMBINE_CONC_SELECT_B_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.06.098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390152/documents/SrawarGolaml_A-q57q_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for MSM example application for MSM manuscript",
      "description": "Input data used by the MSM and HSPF for QMRA application to the Manitowoc Basin. \n\nThis dataset is associated with the following publication:\nWhelan, G., K. Kim, R. Parmar, G. Laniak, K. Wolfe, M. Galvin, M. Molina, Y. Pachepsky, P. Duda, R. Zepp, L. Prieto, J. Kinzelman, G.T. Kleinheinz, and M. Bouchard. Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 99: 126-146, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1376851",
      "keyword": [
        "Integrated environmental modeling",
        "QMRA",
        "Risk Assessment",
        "pathogens",
        "manure",
        "watershed modeling"
      ],
      "contactPoint": {
        "fn": "Gene Whelan",
        "hasEmail": "mailto:whelan.gene@epa.gov"
      },
      "distribution": [
        {
          "title": "Calibration Files_061617.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376851/Calibration%20Files_061617.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RDB_files_062017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376851/RDB_files_062017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-13",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.08.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1376851/documents/Whelan%20QMRA%20Primer_Rev6.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of air pollutant emissions projections from the GCAM-USA integrated assessment model",
      "description": "This dataset contains 2010 emissions of nitrogen oxides, sulfur dioxide, and fine particulate matter by sector and state as modeled using the GCAM-USA integrated assessment model, in comparison to the 2011 National Emissions Inventory (NEI).  In addition, the dataset includes 2025 projections from both GCAM-USA and the NEI.\r\nThe dataset includes data underlying the figures and tables in the following journal article:\r\nWenjing Shi et al. (2017), Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA.  Applied Energy, in review. \n\nThis dataset is associated with the following publication:\nShi, W., Y. Ou, S. Smith, C. Ledna, C. Nolte, and D. Loughlin. Projecting state-level air pollutant emissions using an integrated assessment model: GCAM-USA..   Applied Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 208: 511-521, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1377869",
      "keyword": [
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Shi et al. dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377869/Shi%20et%20al.%20dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-31",
      "references": [
        "https://doi.org/10.1016/j.apenergy.2017.09.122"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales",
      "description": "Hemispheric scale simulations with CMAQ and the Weather Research and Forecasting model are performed for multiple years. Model capabilities for a range of applications including episodic long-range pollutant transport, long-term trends in air pollution across the Northern Hemisphere, and air pollution-climate interactions are evaluated through detailed comparison with available surface, aloft, and remotely sensed observations. \n\nThis dataset is associated with the following publication:\nMathur, R., J. Xing, R. Gilliam, G. Sarwar, C. Hogrefe, J. Pleim, G. Pouliot, S. Roselle, T. Spero, D. Wong, and J. Young. Extending the Community Multiscale Air Quality (CMAQ) Modeling System to Hemispheric Scales: Overview of Process Considerations and Initial Applications.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 12449-12474, (2017).",
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      "identifier": "https://doi.org/10.23719/1378084",
      "keyword": [
        "Hemispheric CMAQ",
        "background pollution",
        "long-range transport",
        "WRF"
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      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
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          "title": "Figure14_CMAQ_SCIAMACHY_GOME.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Figure16c_EUS_AOD_SWR_JJAmonthly.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378084/Figure16c_EUS_AOD_SWR_JJAmonthly.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary_HemisphericCMAQ_manuscript.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378084/Data_Dictionary_HemisphericCMAQ_manuscript.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary_HemisphericCMAQ_manuscript_Final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378084/Data_Dictionary_HemisphericCMAQ_manuscript_Final.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2017-01-20",
      "references": [
        "https://doi.org/10.5194/acp-17-12449-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378084/documents/Data_Dictionary_HemisphericCMAQ_manuscript.docx",
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    },
    {
      "title": "Cockle Field Caging Experiment Data (2014)",
      "description": "To determine whether differences in cockle density or qualitative burial depth observed during the 2014 field survey were affected by green macroalgal (GMA) mats, we conducted a field caging experiment whereby cockles were subjected to the presence or absence of simulated GMA mats for 12 weeks (July-September 2014).  This dataset contains all data collected during that field experiment. \n\nThis dataset is associated with the following publication:\nLewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 582: 105-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390140",
      "keyword": [
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Cockle_FieldExptData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390140/Cockle_FieldExptData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-24",
      "references": [
        "https://doi.org/10.3354/meps12328"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cockle/Green Macroalgae Field Survey Data (2014)",
      "description": "To quantify any spatial or temporal variability in cockle densities with respect to in situ GMA biomass in Yaquina Bay, OR, we conducted field surveys during consecutive daytime low tides (<0.46 m MLLW) in both June and August 2014, which provided a comparison between early and late summer.  This dataset contains all data collected during those field surveys. \n\nThis dataset is associated with the following publication:\nLewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 582: 105-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390154",
      "keyword": [
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Cockle_FieldSurveyData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390154/Cockle_FieldSurveyData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-27",
      "references": [
        "https://doi.org/10.3354/meps12328"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cockle Temperature Exposure Lab Experiment (2016)",
      "description": "We carried out a lab experiment in which we exposed cockles to a range of air temperatures to simulate the physiological rigors of exposure to sunlight and air at the sediment surface during daytime low tides.  Cockles were subjected to twelve different temperature (6, 14, 21, 30, 34, 38 ± 1.0 °C) x time (2, 4 hrs) treatments within temperature-controlled chambers, representing the temperature and exposure durations regularly observed on Yaquina Bay mid-intertidal flats during daytime low tides in the summer.  This dataset contains all data collected during that lab experiment. \n\nThis dataset is associated with the following publication:\nLewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 582: 105-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390155",
      "keyword": [
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Cockle_LabTemp_ExptData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390155/Cockle_LabTemp_ExptData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-27",
      "references": [
        "https://doi.org/10.3354/meps12328"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gull Foraging Field Survey Data (2015)",
      "description": "We conducted a predation study to determine whether emergence from the sediment affected cockle survival or physiological condition.  We performed a field survey of the gull population from May-August 2015 in the same low-mid intertidal range of Idaho Flat that other field experiments were conducted.  Surveyed gulls were observed in order to determine diet composition.  This dataset contains all data collected during that field survey. \n\nThis dataset is associated with the following publication:\nLewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 582: 105-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390156",
      "keyword": [
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Gull_FieldSurveyData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390156/Gull_FieldSurveyData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-27",
      "references": [
        "https://doi.org/10.3354/meps12328"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cockle Emergence Lab Experiment (2017)",
      "description": "To identify the factors of green macroalgae (GMA) accumulation that cause cockles to rapidly emerge from the sediment, we conducted a series of laboratory experiments to isolate the effects of anoxia, surficial pressure/barrier, GMA presence, and the interaction of GMA presence and a surficial pressure/barrier on the emergence behavior of buried cockles.  We quantified the emergence response of cockles in each of these five treatments with six replicates (emergent proportion of cockles tank-1) per treatment (n = 30 tanks).  After the start of each trial, subjects were examined at 0.5, 1, 2, 4, 6, and 8 hrs for changes in burial depth; those that were partially or completely exposed at the sediment surface were considered to have exhibited an emergence response. \n\nThis dataset is associated with the following publication:\nLewis, N., and T. DeWitt. Effect of Green Macroalgal Blooms on the Behavior, Growth, and Survival of Cockles (Clinocardium nuttallii) in Pacific NW Estuaries.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 582: 105-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390157",
      "keyword": [
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Cockle_LabExptData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390157/Cockle_LabExptData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-15",
      "references": [
        "https://doi.org/10.3354/meps12328"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Doc Title:  Adult Hippocampal Neurogenesis is Impaired by Transient Developmental Thyroid Hormone Disruption",
      "description": "Severe thyroid hormone (TH) deprivation during development impairs neurogenesis throughout the brain. The hippocampus also maintains a capacity for neurogenesis throughout life which is reduced in adult-onset hypothyroidism. This study examined hippocampal volume in the neonate and adult hippocampal neurogenesis after developmental and adult-onset TH insufficiency. Pregnant rat dams were administered 0, 3, or 10 ppm of propylthiouracil (PTU) via drinking water from gestational day (GD) 6 until weaning. PTU at the high dose reduced body, brain, hippocampal weights on postnatal day (PN) 14, 21 and 78. Sub-regional analysis revealed decrements in hippocampal volumes at 10 but not 3 ppm PTU on PN23. In Experiment 2, one pair of adult male offspring of 0 and 3ppm-teated dams was placed on 3 ppm PTU from PN60, while a 2nd pair remained on control water. Adult neurogenesis was assessed by bromodeoxyuridine (BrdU, 50mg/kg, ip, 2X daily, X5 days) starting on PN90. Brains from animals perfused 1 and 28 days later were processed for immunohistochemistry. Although no volume changes were seen in neonates at 3ppm, thinning of the granule cell layer emerged in adulthood. Developmental TH insufficiency reduced BrdU+ve cells at 1-day with no further reduction at 28-days post-BrdU, indicative of a selective effect on cell proliferation. This was supported by fewer cells staining for the proliferative marker, Ki67. Adult only PTU did not impair neurogenesis or exacerbate effects seen with developmental exposure. A reduced capacity for neurogenesis may contribute to cognitive deficits evident in adults following moderate degrees of developmental TH insufficiency. \n\nThis dataset is associated with the following publication:\nGilbert, M., J. Goodman, J. Gomez, A. Johnstone, and R. Ramos. Adult Hippocampal Neurogenesis is Impaired by Transient and Moderate Developmental Thyroid Hormone Disruption.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     9-21, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390086",
      "keyword": [
        "hippocampus",
        "neurogenesis",
        "developmental neurotoxicity",
        "thyroid hormone insufficiency",
        "chemical safety for sustainablity",
        "thyroid",
        "brain"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "Sceince Hub Data Summaries.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390086/Sceince%20Hub%20Data%20Summaries.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-06",
      "references": [
        "https://doi.org/10.1016/j.neuro.2016.12.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ACTIVE VERSUS SEDENTARY LIFESTYLE FROM WEANING TO ADULTHOOD AND SUSCEPTIBILITY TO OZONE IN RATS",
      "description": "The prevalence of a sedentary (SED) life style combined with calorically rich diets has spurred the rise in childhood obesity which, in turn, translates to adverse health effects in adulthood. Obesity and lack of active (ACT) lifestyle may increase susceptibility to air pollutants. We housed 22 day-old female Long-Evans rats in a cage without (SED) or with a running wheel (ACT). After 10 weeks the rats ran 310 ± 16.3 km (SEM).  Responses of SED and ACT rats to whole-body O3 (0, 0.25, 0.5, or 1.0 ppm; 5 hr/day for 2 days) was assessed. Glucose tolerance (GTT) was performed following the first day of O3. ACT rats had less body fat and an improved glucose tolerance (GTT).  Ventilatory function (plethysmography) of SED and ACT groups was similarly impaired by O3. Bronchoalveolar lavage fluid (BALF) was collected after the second O3 exposure. SED and ACT rats were hyperglycemic following 1.0 ppm O3.  GTT was impaired by O3 in both groups; however, ACT rats exhibited improved recovery to 0.25 and 1.0 ppm O3. BALF cell neutrophils and total cells were similarly increased in ACT and SED groups exposed to 1.0 ppm O3. O3-induced increase in eosinophils was exacerbated in SED rats. Chronic exercise from post-weaning to adulthood improved some of the metabolic and pulmonary responses to O3 (GTT and eosinophils) but several other parameters were unaffected. The reduction in O3-induced rise in BALF eosinophils in ACT rats suggests a possible link between a SED lifestyle and incidence of asthma-related symptoms from O3.  . \n\nThis dataset is associated with the following publication:\nGordon, C., P. Phillips, A. Ledbetter, S. Snow, M. Schladweiler, A. Johnstone, and U. Kodavanti. ACTIVE VS. SEDENTARY LIFESTYLE FROM WEANING TO ADULTHOOD AND SUSCEPTIBILITY TO OZONE IN RATS.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA,  L100-L109, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390099",
      "keyword": [
        "Exercise",
        "obesity",
        "Ozone",
        "Childhood",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "GordonChristopher - E329 Data for MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390099/GordonChristopher%20-%20E329%20Data%20for%20MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-25",
      "references": [
        "https://doi.org/10.1152/ajplung.00415.2016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A DEVICE THAT ALLOWS RODENTS TO BEHAVIORALLY THERMOREGULATE WHEN HOUSED IN VIVARIUMS  - DATA",
      "description": "Laboratories and vivariums are maintained at ambient temperatures (Ta) of 20-24 ⁰C and it is widely accepted that mice maintained under these conditions are cold stressed. When mice are inactive and sleeping in the daytime, their zone of thermoneutrality associated with a basal metabolic rate is 30-32 ⁰C. If given a choice, mice will use thermoregulatory behavior to seek out thermoneutral temperatures during the daytime. The cold stress of a vivarium can be problematic to researchers requiring an animal model that is not stressed metabolically. However, it may not be practical or economically feasible to maintain an animal vivarium at thermoneutral temperatures. One problem with raising the Ta of a vivarium is that personnel wearing protective equipment will be subject to considerable heat stress. In this paper, we present plans for the construction and operation of a device that allows mice to utilize a refuge with a heated floor maintained at an approximate thermoneutral temperatures (30-32 ⁰C). The device is made of inexpensive, readily available materials and utilizes a disposable hand warmer (HotHands®) as a heat source. One hand warmer provides a thermoneutral environment for approximately 12 hours. This device is easily adapted to a standard mouse or rat cage and requires brief maintenance each day to change the heating pad.  With this device in a standard cage, mice can select an environment associated with thermoneutral conditions during the daytime when inactive and sleeping. At night, the mice are more active, have a higher metabolic rate, and prefer cooler Ta’s. Egress from the warmed plate allows mice to seek cooler Ta’s at night. \n\nThis dataset is associated with the following publication:\nGordon, C., E. Puckett, E. Repasky, and A. Johnstone. A DEVICE THAT ALLOWS RODENTS TO BEHAVIORALLY THERMOREGULATE WHEN HOUSED IN VIVARIUMS.   COMPARATIVE MEDICINE. American Association for Laboratory Animal Science, Memphis, TN, USA,  173-176, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390102",
      "keyword": [
        "cold-stress",
        "mouse",
        "behavioral thermoregulation",
        "thermoneutral"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "GordonChristopher_Thermal Floor_ACE_121_As-sf86_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390102/GordonChristopher_Thermal%20Floor_ACE_121_As-sf86_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impaired swim bladder inflation in early-life stage fathead minnows exposed to a deiodinase inhibitor, iopanoic acid",
      "description": "The present study investigated whether inhibition of deiodinase, the enzyme which converts thyroxine (T4) to the more biologically-active form, 3,5,3'-triiodothyronine (T3), would impact inflation of the posterior and/or anterior chamber of the swim bladder, processes previously demonstrated to be thyroid-hormone regulated.  Two experiments were conducted using a model deiodinase inhibitor, iopanoic acid (IOP). In the first study, fathead minnow (Pimephales promelas) embryos were exposed to 0.6, 1.9, or 6.0 mg IOP/L or control water in a flow-through system until reaching 6 days post-fertilization (dpf) at which time posterior swim bladder inflation was assessed.  To examine effects on anterior swim bladder inflation, a second study was conducted with 6 dpf larvae exposed to the same IOP concentrations until reaching 21 dpf.  Fish from both studies were sampled for T4/T3 measurements, gene transcription analyses, and thyroid histopathology.  In the embryo study, incidence and length of inflated posterior swim bladders were significantly reduced in the 6.0 mg/L treatment at 6 dpf.  Incidence of inflation and length of anterior swim bladder in larval fish were significantly reduced in all IOP treatments at 14 dpf, but inflation recovered by 18 dpf.  Throughout the larval study, whole body T4 concentrations were significantly increased and T3 concentrations were significantly decreased in all IOP treatments.  Consistent with hypothesized compensatory responses, significant up-regulation of deiodinase-2 mRNA was observed in the larval study, and down-regulation of thyroperoxidase mRNA was observed in all IOP treatments in both studies.  Taken together, these results support the hypothesized adverse outcome pathways linking inhibition of deiodinase activity to impaired swim bladder inflation. \n\nThis dataset is associated with the following publication:\nCavallin, J., G. Ankley, B. Blackwell, C. Blanksma, K. Fay, K. Jensen, M. Kahl, D. Knapen, P. Kosian, S. Poole, E. Randolph, A. Schroeder, L. Vergauwen, and D. Villeneuve. Impaired swim bladder inflation in early-life stage fathead minnows exposed to a deiodinase inhibitor, iopanoic acid (article).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(11): 2942-2952, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390115",
      "keyword": [
        "thyroid",
        "fish early lifestage",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Cavallin et al. IOP.Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390115/Cavallin%20et%20al.%20IOP.Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-08",
      "references": [
        "https://doi.org/10.1002/etc.3855"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Adverse Outcome Pathway for Neurodevelopmental Effects of Thyroid Peroxidase-Induced Thyroid Hormone Synthesis Inhibition",
      "description": "Adequate levels of thyroid hormones (TH) are needed for proper brain development, deficiencies may lead to adverse neurological outcomes in humans and animal models. Environmental chemicals have been linked to TH disruption, yet the relationship between developmental exposures and decline in serum TH resulting in neurodevelopmental impairment is poorly understood. The present study developed a quantitative adverse outcome pathway (qAOP) where serum thyroxin (T4) reduction following inhibition of thyroperoxidase in the thyroid gland are described and related to deficits in fetal brain TH and the development of a brain malformation, subcortical band heterotopia. Pregnant dams were exposed to 6-propylthiouracil (PTU  0, 0.1, 0.5, 1, 2, or 3 ppm) from gestational day 6-20, increasing PTU concentrations in maternal thyroid gland and serum as well as in fetal serum. Dams exposed to 0.5 ppm PTU and higher exhibited dose-dependent decreases in thyroidal T4. Serum T4 levels in the dam were significantly decreased with exposure to 2 and 3 ppm PTU. In the fetus, T4 decrements were first observed at a lower dose of 0.5 ppm PTU. Based on these data, fetal brain T4 levels were estimated from published literature sources, and quantitatively linked to increases in the size of the heterotopia present in the brains of offspring. These data show the potential of in vivo assessments and computational descriptions of biological responses to predict the development of this structural brain malformation and use of qAOP approach to evaluate brain deficits that may result from exposure to other TH disruptors. \n\nThis dataset is associated with the following publication:\nHassan, I., H. El-Masri, P. Kosian, J. Ford, S. Degitz, and M. Gilbert. Neurodevelopment and Thyroid Hormone Synthesis Inhibition in the Rat: Quantitative Understanding Within the Adverse Outcome Pathway Framework.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     57-73, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390120",
      "keyword": [
        "developmental hypothyroidism",
        "Thyroperoxidase",
        "AOPs",
        "brain development",
        "thyroid hormone"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "GilbertMary_qAOP_A-zcs9_data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390120/GilbertMary_qAOP_A-zcs9_data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-23",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx163"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Occurrence and in vitro bioactivity of estrogen, androgen, and glucocorticoid compounds in a nationwide screen of United States stream waters",
      "description": "In vitro bioactivity concentrations and chemical concentrations of estrogens, androgens, and glucocorticoids from a nationwide screen of United States stream water samples.  In vitro bioassays include T47D-Kbluc, MDA-kb2, and a CV-1 cell line transduced with human glucocorticoid receptor. \n\nThis dataset is associated with the following publication:\nConley, J., N. Evans, M. Cardon, L. Rosenblum, L. Iwanowicz, P. Hartig, K. Schenck, P. Bradley, and V. Wilson. Occurrence and in vitro bioactivity of estrogen, androgen, and glucocorticoid compounds in a nationwide screen of United States stream waters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  4781-4791, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390128",
      "keyword": [
        "estrogen",
        "androgen",
        "glucocorticoid",
        "effect based analysis",
        "in vitro biomonitoring",
        "surface water",
        "bioassay",
        "water quality",
        "multiple stressors",
        "in vitro screening",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "ConleyJustin_A-qz6m_Dataset_20170309.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390128/ConleyJustin_A-qz6m_Dataset_20170309.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-09",
      "references": [
        "https://doi.org/10.1021/acs.est.6b06515"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390128/documents/ConleyJustin_A-qz6m_Dataset_Dictionary_20170309.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for human cell spheroid model of embryonic tissue fusion in vitro.",
      "description": "Epithelial-mesenchymal interactions drive embryonic fusion events during development and upon perturbation can result in birth defects. Cleft palate and neural tube defects can result from genetic defects or environmental exposures during development, yet very little is known about the effect of chemical exposures on fusion defects in humans because of the lack of relevant and robust human in vitro assays of developmental fusion behavior. Given the etiology and prevalence of cleft palate and the relatively simple architecture and composition of the embryonic palate, we sought to develop a three-dimensional culture system that could be used to study fusion behavior in vitro using human cells. We engineered human Wharton’s Jelly stromal cell (HWJSC) spheroids of defined size and established that 7 days of culture in osteogenesis differentiation medium was sufficient to promote an osteogenic phenotype consistent with embryonic palatal mesenchyme. HWJSC spheroids supported the attachment of human epidermal keratinocyte progenitor cells on the outer spheroid surface likely through deposition of collagens I and IV, fibronectin, and laminin, and co-cultured spheroids exhibited fusion behavior that was dependent on epidermal growth factor signaling and fibroblast growth factor signaling in agreement with palate fusion literature. The method described here may broadly apply to the generation of three-dimensional epithelial-mesenchymal co-cultures to study developmental fusion events in a format that is amenable to predictive toxicology applications. \n\nThis dataset is associated with the following publication:\nBelair, D., C. Wolf, C. Wood, H. Ren, R. Grindstaff, W. Padgett, A. Swank, D. MacMillan, A. Fisher, W. Winnik, and B. Abbott. Engineering human cell spheroids to model embryonic tissue fusion in vitro..   PLoS ONE. Public Library of Science, San Francisco, CA, USA,  N/A, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378475",
      "keyword": [
        "2D-DIGE",
        "alkaline phosphatase",
        "qRT-PCR",
        "RNASeq",
        "confocal microscopy",
        "Morphogenetic fusion",
        "palate fusion",
        "stromal cells",
        "epithelial cells",
        "cell spheroids",
        "osteogenesis"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "04202017 Main Text & Suppl Figures Data (3).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378475/04202017%20Main%20Text%20%26%20Suppl%20Figures%20Data%20%283%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1371/journal.pone.0184155"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Oregon Tidal Wetland vegetation and edaphic data 2010 - 2012",
      "description": "Data includes edaphic and vegetation field data from four Oregon tidal wetlands. National Wetlands Inventory (NWI) classification: low marsh, high marsh, and palustrine tidal marsh are included for each of the sites as a means of comparing parameters between the NWI classes and actual field data. Vegetation data include number and types of plant assemblages, non-native plant cover, and species richness. Edaphic data include pore water salinity,  sediment carbon and nitrogen content, grain size and marsh surface elevation. \n\nThis dataset is associated with the following publication:\nJanousek, C.N., and C. Folger. Does National Wetland Inventory class consistently identify vegetation and edaphic differences in Oregon tidal wetlands?.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 26(3): 315-329, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1405224",
      "keyword": [
        "emergent marsh",
        "ecosystem indicators",
        "National Wetlands Inventory",
        "plant composition",
        "sediment carbon",
        "wetland classification"
      ],
      "contactPoint": {
        "fn": "Christina Folger",
        "hasEmail": "mailto:folger.christina@epa.gov"
      },
      "distribution": [
        {
          "title": "Folger-Janousek_A-4f4z_DataOR Tidal Marshes.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1405224/Folger-Janousek_A-4f4z_DataOR%20Tidal%20Marshes.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2011-08-31",
      "references": [
        "https://doi.org/10.1007/s11273-017-9575-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cardiopulmonary changes in humans with coronary artery disease associated with exposure to ambient concentrations of ozone.",
      "description": "The dataset contains a list of cardiac and vascular biomarkers that were obtained on each day a participant visited the EPA Human Studies Facility.  It also contains ozone concentrations on those days, which are publicly available on the EPA AirNow website. This dataset is not publicly accessible because: The dataset pertains to human research. It can be accessed through the following means: Requests to access data should be sent to Robert Devlin at devlin.robert@epa.gov. Format: The metadata are in the form of spreadsheets with health endpoints listed in columns and each human participant listed as a row.\r\nSimilar spreadsheets contain exposure information in columns and participants in rows. \n\nThis dataset is associated with the following publication:\nMirowsky, J., M. Carraway, R. Dhingra, H. Tong, L. Neas, D. Diaz-Sanchez, W. Cascio, M. Case, J. Crooks, E. Hauser, E. Dowdy, W. Krause, and R. Devlin. Ozone exposure is associated with acute changes in inflammation, fibrinolysis, and endothelial cell function in coronary artery disease patients.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16: 126, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390160",
      "keyword": [
        "ozone concentrations",
        "heart disease",
        "air pollution",
        "cardiovascular",
        "epidemiology"
      ],
      "contactPoint": {
        "fn": "Robert Devlin",
        "hasEmail": "mailto:devlin.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2017-05-01",
      "references": [
        "https://doi.org/10.1186/s12940-017-0335-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measuring and modeling surface sorption dynamics of organophosphate flame retardants on impervious surfaces",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains measured and model predicted OPFRs gas-phase and surface-phase concentrations in small and micro chambers. \n\nThis dataset is associated with the following publication:\nLiang, Y., X. Liu, and M. Allen. Measuring and Modeling Surface Sorption Dynamics of  Organophosphate Flame Retardants in Chambers.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 193: 754-762, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1373881",
      "keyword": [
        "Surface sorption",
        "SVOCs",
        "fate and transport model",
        "Organophosphate flame retardants (OPFRs)",
        "Chamber testing",
        "Sink effect",
        "Surface adsorption",
        "Langmuir isotherm",
        "Freundlich isotherm"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "LiuXiaoyu_A-wdcf_Data Tables&Dictionary-20170804.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373881/LiuXiaoyu_A-wdcf_Data%20Tables%26Dictionary-20170804.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-04",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.11.080"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Porous nitrogen-enriched carbonaceous material from marine waste: chitosan-derived layered CNX catalyst for aerial oxidation of 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid",
      "description": "Chitosan-derived, porous and layered nitrogen-enriched carbonaceous CNx catalyst (PLCNx) has been synthesized from marine waste and its use demonstrated in a metal-free heterogeneous selective oxidation of 5-hydroxymethyl-furfural (HMF) to 2,5-furandicarboxylic acid (FDCA) using aerial oxygen under mild reaction conditions. \n\nThis dataset is associated with the following publication:\nVarma, R., M. Nadagouda, and S. Verma. Porous nitrogen-enriched carbonaceous material from marine waste: chitosan-derived layered CNX catalyst for aerial oxidation of 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid.   Scientific Reports. Nature Publishing Group, London,  UK, 7(13596): 1-6, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389572",
      "keyword": [
        "Porous nitrogen-enriched carbonaceous material",
        "chitosan-derived layered CNX catalyst",
        "Aerial oxidation",
        "5-hydroxymethylfurfural (HMF)",
        "furandicarboxylic acid",
        "marine waste"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389572/Supporting%20information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1038/s41598-017-14016-5",
        "https://pasteur.epa.gov/uploads/10.23719/1389572/documents/Supporting%20information.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1389572/documents/Supporting%20information.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental data obtained by the characterization and leaching of industrially lead contaminated soil projected to the stored in a repository.",
      "description": "The data set contains the elemental composition, pH, and surface area, TOC, IC and bulk density of the soils to be deposited in a repository. Additionally, contains the leaching results of the TCLP, SPLP, and a Controlled Acidity Leaching Protocol and the results of the sequential extraction performed with such soils. \n\nThis dataset is associated with the following publication:\nPinto, P., and S. Al-Abed. Assessing Metal Mobilization from Industrially Lead-Contaminated Soils Located at an Urban Site.  W. Berry Lyons, Christopher B. Gardner, and David T. Long  APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 83: 31-40, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407596",
      "keyword": [
        "lead",
        "arsenic",
        "industrial soil",
        "soil remediation",
        "metal leaching"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "meta deta set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407596/meta%20deta%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-09",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2017.01.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407596/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Human BDCM Mulit-Route PBPK Model",
      "description": "This data set contains the code for the BDCM human multi-route model written in the programming language acsl.  The final published manuscript is provided since it contains all the model parameters and data (from published literature). \n\nThis dataset is associated with the following publication:\nKenyon , E., T.L. Leavens, C. Eklund , and R. Pegram. Development and Application of a Human PBPK Model for Bromodichloromethane (BDCM) to Investigate Impacts of Multi-Route Exposure.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 36(9): 1095-1111, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407542",
      "keyword": [
        "acslx",
        "model code",
        "disinfection byproducts",
        "physiologically-based pharmacokinetic model",
        "pbpk",
        "bromodichloromethane",
        "multi-route"
      ],
      "contactPoint": {
        "fn": "Elaina Kenyon",
        "hasEmail": "mailto:kenyon.elaina@epa.gov"
      },
      "distribution": [
        {
          "title": "BDCMPBPKMs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/BDCMPBPKMs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BDCM_inhCSL.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/BDCM_inhCSL.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LocalSensitivityAnalysis_BDCMpbpk.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/LocalSensitivityAnalysis_BDCMpbpk.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GlobalSensitivityAnalysis_BDCMpbpk.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/GlobalSensitivityAnalysis_BDCMpbpk.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VmaxKm_HanesWolfPlot_bdcm.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/VmaxKm_HanesWolfPlot_bdcm.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-01",
      "references": [
        "https://doi.org/10.1002/jat.3269"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407542/documents/DataDictionary_BDCMPBPK.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Summary of the Development the US Environmental Protection Agency’s Medaka Extended One Generation Reproduction Test (MEOGRT) Using Data from Nine Multigenerational Medaka Tests",
      "description": "In response to various legislative mandates the United States Environmental Protection Agency (USEPA) formed its Endocrine Disruptor Screening Program (EDSP), which in turn, implemented a tiered testing strategy to determine the potential of pesticides, commercial chemicals, and environmental contaminants to disrupt the endocrine system.  The first tier of tests is intended to detect the potential for endocrine disruption mediated through estrogen, androgen or thyroid pathways, while the second tier is intended to further characterize the effects on these pathways and to establish a dose-response relationship for adverse effects.   One of these Tier 2 tests, the Medaka Extended One Generation Reproduction Test (MEOGRT) was developed by the USEPA for the EDSP and, in collaboration with the Japanese Ministry of the Environment, for the Organisation for Economic Co-operation and Development’s (OECD) Guidelines for the Testing of Chemicals.  The MEOGRT protocol was iteratively modified based upon knowledge gained after successfully completing nine tests with variations in test protocols.  The dataset  both the final MEOGRT protocol that has been published by the USEPA and the OECD, the iterations of the protocol that provided valuable insights into nuances of the protocol.  The various tests include exposure to 17β-estradiol, 4-t-octylphenol, o,p’- dichlorodiphenyltrichloroethane, 4-chloro-3-methylphenol, tamoxifen, 17β-trenbolone, vinclozolin, and prochloraz. \n\nThis dataset is associated with the following publication:\nFlynn, K., D. Lothenbach, F. Whiteman, D. Hammermeister, L. Touart, J. Swintek, N.  Tatarazako, Y. Onishi, and R. Johnson. Summary of the development the US Environmental Protection Agency’s Medaka Extended One Generation Reproduction Test (MEOGRT) using data from 9 multigenerational medaka tests.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(12): 3387-3403, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374722",
      "keyword": [
        "MEOGRT",
        "multigenerational",
        "endocrine disruption",
        "fish",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "MEOGRT 9 Tests Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374722/MEOGRT%209%20Tests%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-20",
      "references": [
        "https://doi.org/10.1002/etc.3923"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wehmas et al. 94-04 Toxicol Sci: Datasets for manuscript",
      "description": "Dataset includes overview text document (accepted version of manuscript) and tables, figures, and supplementary materials. Supplementary tables provide summary data underlying figures, as noted in the text. \n\nThis dataset is associated with the following publication:\nWehmas, L., A. Deangelo, S. Hester, B. Chorley, G. Carswell, G. Olson, M. George, J. Carter, S. Eldridge, A. Fisher, B. Vallanat, and C. Wood. Metabolic Disruption Early in Life is Associated With Latent Carcinogenic Activity of Dichloroacetic Acid in Mice.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    159(2): 354-365, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
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      "identifier": "https://doi.org/10.23719/1372476",
      "keyword": [
        "carcinogenesis",
        "Metabolism",
        "early-life exposure",
        "liver",
        "dichloroacetic acid"
      ],
      "contactPoint": {
        "fn": "Charles Wood",
        "hasEmail": "mailto:wood.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Wehmas et al. 94-04 Toxicol Sci_Main Text_resub cw5 clean.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Main%20Text_resub%20cw5%20clean.pdf",
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          "title": "Wehmas et al. 94-04 Toxicol Sci Figures 1-5.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci%20Figures%201-5.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Table%201_v6.pdf",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Supplementary%20Figures%201-4.pdf",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Supplementary%20Table%20S14_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wehmas et al. 94-04 Toxicol Sci_Supplementary Table S15_v6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Supplementary%20Table%20S15_v6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wehmas et al. 94-04 Toxicol Sci_Supplementary Table S16_v3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372476/Wehmas%20et%20al.%2094-04%20Toxicol%20Sci_Supplementary%20Table%20S16_v3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-22",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx146"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Enterovirus species and serotype distributions in monthly municipal wastewater samples",
      "description": "This dataset contains the enterovirus genome copies measured per liter of sample and read counts obtained from amplicon sequencing of the VP1 and VP4 genes. \n\nThis dataset is associated with the following publication:\nBrinkman , N., S. Fout , and S. Keely. Retrospective Surveillance of Wastewater To Examine Seasonal Dynamics of Enterovirus Infections.   mSphere. American Society for Microbiology, Washington, DC, USA, 2(3): e00099-17, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1377810",
      "keyword": [
        "enteric virus",
        "enterovirus",
        "high throughput sequencing",
        "wastewater surveillance"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "BrinkmanNichole_A-73nf_dataset_20180818.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377810/BrinkmanNichole_A-73nf_dataset_20180818.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-28",
      "references": [
        "https://doi.org/10.1128/msphere.00099-17"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Acute Toxicity of Major Ion Salts to Ceriodaphnia dubia. III. Mathematical models for mixture toxicity",
      "description": "This dataset concerns the development of models for describing the acute toxicity of major ions to Ceriodaphnia dubia using data from single salt tests and binary mixture tests described in two other datasets under this research effort.  It provides the data used in model development in the associated journal article.  It also provides concentration-response data and associated general chemistry conditions for 3 experiments consisting of 14 toxicity tests on more complex mixtures of major ions based on data regarding elevated major ions in effluents and receiving waters, which was used for testing the models. . \n\nThis dataset is associated with the following publication:\nErickson, R., D. Mount, T. Highland, R. Hockett, D. Hoff, T. Norberg-King, and K.  Peterson. The acute toxicity of major ion salts to Ceriodaphnia dubia: III.  Mathematical models for mixture toxicity.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,  1-13, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1393907",
      "keyword": [
        "Ceriodaphnia dubia",
        "Acute Toxicity",
        "modeling",
        "Complex Mixtures",
        "Major Ion Toxicity",
        "Freshwater"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "MEDIonToxPaper3_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393907/MEDIonToxPaper3_Dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-14",
      "references": [
        "https://doi.org/10.1002/etc.3953"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1393907/documents/MEDIonToxPaper3_DataDictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Newton SSANTA Dr Water using POU filters dataset",
      "description": "This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the candidate compounds that correspond to those formulas.  Data sources, bioactivity, exposure estimates, functional uses, and predicted and observed retention times are available for all candidate compounds. \n\nThis dataset is associated with the following publication:\nNewton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, and M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 234: 297-306, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390166",
      "keyword": [
        "molecular feature",
        "database match",
        "candidate compounds",
        "suspect screening",
        "drinking water",
        "non-targeted analysis",
        "per and polyfluorinated",
        "time of flight mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Newton Brita Dr Water Data 6-8-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390166/Newton%20Brita%20Dr%20Water%20Data%206-8-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-08",
      "references": [
        "https://doi.org/10.1016/j.envpol.2017.11.033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Earthquake Resilience Paper Data",
      "description": "Data for the 9 figures contained in the paper, A SOFTWARE FRAMEWORK FOR ASSESSING THE RESILIENCE OF DRINKING WATER SYSTEMS TO DISASTERS WITH AN EXAMPLE EARTHQUAKE CASE STUDY. \n\nThis dataset is associated with the following publication:\nKlise, K., M. Bynum, D. Moriarty, and R. Murray. A SOFTWARE FRAMEWORK FOR ASSESSING THE RESILIENCE OF DRINKING WATER SYSTEMS TO DISASTERS WITH AN EXAMPLE EARTHQUAKE CASE STUDY.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   95: 420-431, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1379519",
      "keyword": [
        "water security",
        "resilience",
        "modeling",
        "earthquake",
        "disasters",
        "EPANET",
        "systems modeling",
        "drinking water",
        "hydraulics",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Regan Murray",
        "hasEmail": "mailto:murray.regan@epa.gov"
      },
      "distribution": [
        {
          "title": "Resilience_paper_data_051217.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379519/Resilience_paper_data_051217.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-12",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.06.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Small Footprint Solar/Wind-powered CASTNET System Dataset",
      "description": "In this Research Effort “Small Footprint Solar/Wind-Powered CASTNET System” there are two data sets. One data set contains  atmospheric  concentration measurements,  at the standard CASTNET site at Cowetta, NC (COW005)  and the special CASTNET  site at Screwdriver Knob, Cowetta, NC (COW137);  the other data set contains test data used to evaluate the small footprint monitoring systems  operating  conditions/limits.  The measurement parameters for the atmospheric concentrations are: Site ID,   Year, Dates , SO2 ug/m3, SO4= ug/m3, HNO3 ug/m3, NO3- ug/m3, NH4+ ug/m3, Total NO3- ug/m3,  Ca++ ug/m3,  K+ ug/m3, Mg++ ug/m3, Na+ ug/m3, Cl- ug/m3.  The test data set contains the Site ID, the Date and Time,  Battery Voltage (Volts), Flow Rate (lpn), Temp (C), Solar Output (watts), and Wind Output (watts). \n\nThis dataset is associated with the following publication:\nBaumgardner, R., C. Rogers, M. Puchalski, J. Walker, T. Lavery, and K. Mishole. Small Footprint Solar/Wind Powered CASTNET System. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1374717",
      "keyword": [
        "The measurement parameters for the atmospheric concentrations are: Site ID",
        "Year",
        "Dates",
        "SO2 ug/m3",
        "SO4= ug/m3",
        "HNO3 ug/m3",
        "NO3- ug/m3",
        "NH4+ ug/m3",
        "Total NO3- ug/m3",
        "Ca++ ug/m3",
        "K+ ug/m3",
        "Mg++ ug/m3",
        "Na+ ug/m3",
        "Cl- ug/m3.  The test data set contains the Site ID",
        "the Date and Time",
        "Battery Voltage (Volts)",
        "Flow Rate (lpn)",
        "Temp (C)",
        "Solar Output (watts)",
        "and Wind Output (watts)",
        "Solar/Wind Powered",
        "Sulfur Polluants",
        "Nitrogen Pollutants",
        "Secondary Standard",
        "Acidic Deposition"
      ],
      "contactPoint": {
        "fn": "Ralph Baumgardner",
        "hasEmail": "mailto:baumgardner.ralph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://java.epa.gov/castnet/clearsession.do",
          "accessURL": "https://java.epa.gov/castnet/clearsession.do",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374717/documents/Data%20Dictionary-%20Small%20Footprint%20%20Solar-Wind-Powered%20CASTNET%20System.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "YSI multimeter data",
      "description": "A YSI Model 556 multi-parameter instrument was utilized to collect traceable temperature compensated specific conductivity (SC) readings to scale each Onset in-river sonde using manufacturer provided HOBOware® Conductivity Assistant software. The YSI instrument was calibrated each morning using YSI-3161 1000 μS cm−1 standard solution, checked again each night, and checked weekly using YSI-3165 100,000 μS cm−1 standard solution.\r\nDaily calibration check precision (n = 42) was 98 ± 2% (mean ± standard deviation), and the weekly high range linearity check precision (n = 9) was 95 ± 4%. \n\nThis dataset is associated with the following publication:\nLandis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 542(2016): 505-520, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1364384",
      "keyword": [
        "Specific Conductivity",
        "Source Attribution"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "YSI_multimeter_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364384/YSI_multimeter_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Geological Survey: Surface-Water Historical Instantaneous Data for the Nation: Build Time Series",
      "description": "The USGS historical data base contains historical surface water discharge volume data for all 16,658 surface water sites that have current conditions. \n\nThis dataset is associated with the following publication:\nLandis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 542(2016): 505-520, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1364360",
      "keyword": [
        "Specific Conductivity",
        "Source Attribution"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://waterdata.usgs.gov/nwis/uv/?referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/uv/?referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ISCO Grab Sample Ion Chromatography Analytical Data",
      "description": "ISCO grab samples were collected from river, wastewater treatment plant discharge, and public drinking water intakes.  Samples were analyzed for major ions (ppb) using a dual Dionex Model ICS2000 Ion Chromatography System, and Specific Conductivity (μS/cm) using Mettler Toledo Model S47-K meter equipped with an InLab®731 probe. \n\nThis dataset is associated with the following publication:\nLandis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 542(2016): 505-520, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1364381",
      "keyword": [
        "Major Ions",
        "Specific Conductivity",
        "Source Attribution"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "ISCO_grab_sample_IC_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364381/ISCO_grab_sample_IC_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Onset in-river conductivity sonde data",
      "description": "Onset HOBO Model U24-01 in-river sondes were deployed to measure water temperature and electrical conductivity at each of the ISCO sampling sites at 5 min intervals. \n\nThis dataset is associated with the following publication:\nLandis , M., A. Kamal, K. Kovalcik , C. Croghan , G. Norris , and A. Bergdale. The Impact of Commercially Treated Oil and Gas Produced Water Discharges on Bromide Concentrations and Modeled Brominated Trihalomethane Disinfection Byproducts at two Downstream Municipal Drinking Water Plants in the Upper Allegheny River, Pennsylvania, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 542(2016): 505-520, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1364383",
      "keyword": [
        "Specific Conductivity",
        "Source Attribution"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "river_sonde_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1364383/river_sonde_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Size-Selective Sampling Performance of Six Low-Volume “Total” Suspended Particulate (TSP) Inlets",
      "description": "Results from the comprehensive wind tunnel evaluation of six low-volume aerosol inlets are presented as a function of wind speed and aerodynamic particle diameter. \n\nThis dataset is associated with the following publication:\nVanderpool, R., J. Krug, S. Kaushik, J. Gilberry, A. Dart, and C. Witherspoon. Size-selective sampling performance of six low-volume “total” suspended particulate (TSP) inlets.   AEROSOL SCIENCE AND TECHNOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 52(1): 98-113, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376892",
      "keyword": [
        "Aerosol",
        "particulate",
        "inlet",
        "low-volume",
        "size-selective",
        "samplers",
        "inlets",
        "particulates"
      ],
      "contactPoint": {
        "fn": "Robert Vanderpool",
        "hasEmail": "mailto:vanderpool.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Low-Volume_Inlets_ScienceHub_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376892/Low-Volume_Inlets_ScienceHub_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-15",
      "references": [
        "https://doi.org/10.1080/02786826.2017.1386766"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "Citizen Science in the Ironbound Community",
      "description": "Time stamp data of non-identified locations within the Ironbound community.  A normalization data table is provided that defines established regression between sensors pod units 1-4 and State of New Jersey reference monitoring data performed during a collocation event.  In addition, a table is provided that defines the 90th percentile of air quality measures following data normalization. \n\nThis dataset is associated with the following publication:\nKaufman, A., R. Williams, T. Barzyk, M. Greenberg, M. OShea, P. Sheridan, A. Hoang, C. Ash, A. Teitz, M. Mustafa, and S. Garvey. A Citizen Science and Government Collaboration: Developing Tools to Facilitate Community Air Monitoring.   ENVIRONMENTAL JUSTICE. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 10(2): 1-11, (2017).",
      "accessLevel": "public",
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      "identifier": "https://doi.org/10.23719/1407516",
      "keyword": [
        "citizen science",
        "low cost air quality sensors",
        "citizen science air monitor",
        "nitrogen dioxide",
        "Fine Particulate Matter",
        "air sensors toolbox"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NormalizationTableUsedinSupportofmanuscriptOutput.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407516/NormalizationTableUsedinSupportofmanuscriptOutput.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Location Avg and 90th.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407516/Location%20Avg%20and%2090th.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-20",
      "references": [
        "https://doi.org/10.1089/env.2016.0044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407516/documents/DataDictionaryPrimaryDataSets.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Performance Evaluation of the United Nations Environment Programme Air Quality Unit",
      "description": "The Reference data represents reference monitoring data associated with EPA-operated air monitoring equipment located at its AIRS test site in the Research Triangle Park, NC campus.  The UN sensor pod data represents data collected simultaneously (collocated) as the Reference data and then subsequently used in a comparison of the agreement between sensor pod and reference monitors. Original time intervals of the various data collections are preserved in the two data sets. \n\nThis dataset is associated with the following publication:\nWilliams, R., T. Conner, A. Clements, V. Foltescu, V. Nthusi, J. Jabbour, D. Nash, J. Rice, A. Kaufman, A. Rourk, and M. Srivastava. Performance Evaluation of the United Nations Environment Programme Air Quality Monitoring Unit. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407558",
      "keyword": [
        "reference",
        "Sensor pod",
        "time interval",
        "sensor",
        "united nations",
        "particulate matter",
        "nitrogen dioxide",
        "sulfur dioxide"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "Reference_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407558/Reference_data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UN Pod_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407558/UN%20Pod_data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407558/documents/Data%20Dictionary.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Toxicity Assessment for EPA's Hydraulic Fracturing Study",
      "description": "This dataset contains data used to develop multiple manuscripts on the toxicity of chemicals associated with the hydraulic fracturing industry. These manuscripts were developed as part of EPA's larger study on the potential for hydraulic fracturing to impact drinking water resources. For each manuscript, we have provided a separate Excel file containing all of the data used to develop that manuscript. The full list of chemicals and toxicity values used in the development of these manuscripts can also be found online in the draft database for EPA's hydraulic fracturing study (URL provided as part of the dataset). \n\nThis dataset is associated with the following publications:\nYost , E., J. Stanek , R. Dewoskin , and L. Burgoon. Overview of Chronic Oral Toxicity Values for Chemicals Present in Hydraulic Fracturing Fluids, Flowback and Produced Waters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50: 4788-4797, (2016).\nYost , E., J. Stanek , R. Dewoskin , and L. Burgon. Estimating the Potential Toxicity of Chemicals Associated with Hydraulic Fracturing Operations Using Quantitative Structure Activity Relationship Modeling.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(14): 7732-7742, (2016).\nYost, E., J. Stanek, and L. Burgoon. A Decision Analysis Framework for Estimating the Potential Hazards for Drinking Water Resources of Chemicals Used in Hydraulic Fracturing Fluids.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 574: 1544-1558, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390101",
      "keyword": [
        "hydraulic fracturing",
        "drinking water",
        "toxicity",
        "hazard evaluation",
        "qsar"
      ],
      "contactPoint": {
        "fn": "Erin Yost",
        "hasEmail": "mailto:yost.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Chronic_Oral_Toxicity_Values_for_Chemicals_in_HF_Fluids_Flowback_and_Produced_Water.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390101/Chronic_Oral_Toxicity_Values_for_Chemicals_in_HF_Fluids_Flowback_and_Produced_Water.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/hfstudy/recordisplay.cfm?deid=308341",
          "accessURL": "https://cfpub.epa.gov/ncea/hfstudy/recordisplay.cfm?deid=308341",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Potential_Toxicity_of_Chemicals_Associated_with_HF_Using_QSAR_Modeling.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390101/Potential_Toxicity_of_Chemicals_Associated_with_HF_Using_QSAR_Modeling.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MCDA_for_Est_Potential_Haz_of_Chems_Used_in_HF_Fluids.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390101/MCDA_for_Est_Potential_Haz_of_Chems_Used_in_HF_Fluids.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-04",
      "references": [
        "http://pubs.acs.org/doi/abs/10.1021/acs.est.5b05327",
        "https://doi.org/10.1016/j.scitotenv.2016.08.167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Kaushal et al. 2017 (Applied Geochemistry) Human-accelerated weathering increases salinization, major ions, and alkalinization in fresh water across land use",
      "description": "•Base cations increased in drinking water over ∼50 years coinciding with urbanization.\n•DIC, cations, Si, SO42- and pH in streams increased with impervious surface cover.\n•Road salts and weathering of impervious surfaces were major sources of ions.\n•Base cations and pH contributed to alkalinization from headwaters to coastal waters.\n•Increased ions impact drinking water, infrastructure, and coastal alkalinization. \n\nThis dataset is associated with the following publication:\nKaushal, S., S. Duan, T. Doody, S. Haq, R. Smith, T. Newcomer Johnson, K. Delany Newcomb, J. Gorman, N. Bowman, P. Mayer, K.L. Wood, K.T. Belt, and W.P. Sack. Human-accelerated weathering increases salinization, major ions, and alkalinization in fresh water across land use.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 83: 121-135, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1404721",
      "keyword": [
        "salinization",
        "weathering",
        "alkalinization",
        "base cations",
        "drinking water",
        "impervious surface cover",
        "road salt",
        "infrastructure",
        "land use"
      ],
      "contactPoint": {
        "fn": "Tamara Newcomer Johnson",
        "hasEmail": "mailto:newcomer-johnson.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0883292717301282",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0883292717301282",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-15",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2017.02.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tetrabromobisphenol A In vitro Dermal Absopriton Data",
      "description": "In vitro dermal absorption data of tetrabromobisphenol A using human cadaver and rat skin. \n\nThis dataset is associated with the following publication:\nKnudsen, G., M. Hughes , K.L. McIntosh, J.M. Sanders, and L.S. Birnbaum. Estimation of Tetrabromobisphenol A (TBBPA)percutaneous uptake in humans using the parallelogram method..   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 289(2): 323-329, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390108",
      "keyword": [
        "brominated flame retardant",
        "skin",
        "absorption",
        "in vitro"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "TBBPA Dermal In vitro Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390108/TBBPA%20Dermal%20In%20vitro%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-27",
      "references": [
        "https://doi.org/10.1016/j.taap.2015.09.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differential genomic effects on signaling pathways by two different CeO2 nanoparticles in HepG2 cells   ",
      "description": "Differential genomic effects on signaling pathways by two different CeO2 nanoparticles in HepG2 cells. \n\nThis dataset is associated with the following publication:\nThai , S., K. Wallace , C. Jones , H. Ren , B. Castellon, J. Crooks , E.A. Grulke, and K. Kitchin. Differential genomic effects on signaling pathways by two different CeO2 nanoparticles in HepG2 cells.   Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 15(12): 9925-37, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390126",
      "keyword": [
        "Nanoparticle",
        "nanomaterial",
        "nano CeO2",
        "mRNA profiling",
        "signaling pathways",
        "Warburg effect"
      ],
      "contactPoint": {
        "fn": "Kirk Kitchin",
        "hasEmail": "mailto:kitchin.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "filtered_data_fc_qvalues.LAA-high_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.LAA-high_vs_Control.p0.05.1.5x_QN.csv",
          "mediaType": "application/vnd.ms-excel",
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        {
          "title": "filtered_data_fc_qvalues.LAA-low_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.LAA-low_vs_Control.p0.05.1.5x_QN.csv",
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        {
          "title": "filtered_data_fc_qvalues.LAA-mid_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.LAA-mid_vs_Control.p0.05.1.5x_QN.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "filtered_data_fc_qvalues.MNA-high_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.MNA-high_vs_Control.p0.05.1.5x_QN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "filtered_data_fc_qvalues.MNA-low_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.MNA-low_vs_Control.p0.05.1.5x_QN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "filtered_data_fc_qvalues.MNA-mid_vs_Control.p0.05.1.5x_QN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390126/filtered_data_fc_qvalues.MNA-mid_vs_Control.p0.05.1.5x_QN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-28",
      "references": [
        "https://doi.org/10.1166/jnn.2015.11631"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A study of temporal effects of the model anti-androgen flutamide on components of the hypothalamic-pituitary-gonadal axis in adult fathead minnows",
      "description": "The aim of this study was to investigate temporal changes in the hypothalamic-pituitary-gonadal axis of fathead minnow treated with the model androgen receptor (AR) antagonist, flutamide. Reproductively-mature fish were exposed in a flow-through, measured test to either 50 or 500 µg flutamide/L for 8 d, followed by an 8-d recovery period in clean water. Samples were collected at 1, 2, 4 and 8 days during each phase of the experiment. Flutamide (500 µg/L) caused significant reductions in relative gonad size of the females on days 8 of the exposure and 1 of the recovery, and reduced expression of secondary sex characteristics in males during the exposure phase of the experiment. Ex vivo gonadal synthesis of testosterone in both sexes (and 17β-estradiol in females) was reduced in the 500 µg/L treatment within 2 d of exposure; however, steroid synthesis returned to levels comparable to controls by the end of the exposure portion of the test.  Steroid synthesis in males exposed to 50 µg flutamide/L was greater than in controls on days 4 and 8 of the exposure. Both the enhanced steroid production in the low treatment males, and return to control levels in the high treatment males and females during chemical exposure are indicative of a compensatory HPG response. One contributor to this response could be increased expression of genes responsible for enzymes involved in steroid synthesis; for example, transcripts for both cytochrome P450 side- chain cleavage and 11β-hydroxysteroid dehydrogenase were significantly elevated in flutamide-exposed males. Overall, responses of the HPG axis in adult male and female fathead minnows exposed to flutamide were both dynamic and comparatively rapid during exposure and recovery. This has ramifications both for the development of short-term fish assays to detect endocrine-active chemicals, and the derivation of robust adverse outcome pathways for AR antagonists in fish. \n\nThis dataset is associated with the following publication:\nMilsk, R., J. Cavalliin, E. Durhan, M. Kahl, E. Makynen, D. Martinovic-Weigelt, N.  Mueller, A. Schroeder, D. Villeneuve, and G. Ankley. A study of temporal effects of the model anti-androgen flutamide on components of the hypothalamic-pituitary-gonadal axis in adult fathead minnows.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 180: 164-172, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1413082",
      "keyword": [
        "Androgen receptor",
        "antagonist",
        "flutamide",
        "adverse outcome pathway",
        "endocrine disruption",
        "fish",
        "reproduction",
        "mode of action (MOA)",
        "fathead minnow"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "Flutamide Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413082/Flutamide%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-28",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2016.09.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Association between Natural Resources for OutdoorActivities and Physical Inactivity",
      "description": "it includes available natural resources for outdoor activities, Physical inactivity and households income. \n\nThis dataset is associated with the following publication:\nJiang , Y., Y. Yuan , A. Neale , L. Jackson , and M. Mehaffey. Association between Natural Resources for Outdoor Activities and Physical Inactivity: Results from the Contiguous United States.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 13(8): 1-12, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1373091",
      "keyword": [
        "Protected areas",
        "community health",
        "physical inactivity",
        "diabetes",
        "spatial autocorrelation",
        "spatial lag model",
        "Obsity"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373091/Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Flow intermittence and ecosystem services in rivers of the Anthropocene_Figure 4_Journal of Applied Ecology",
      "description": "Counts of ecosystem service status (provided, altered, and lost/absent) during three hydrological phases (flowing, pool, dry) typically seen in intermittent rivers and ephemeral streams. The ecosystem services follow the Common International Classification of Ecosystem Services (CICES) version 4.3 across three broad categories of services (provisioning, regulating and cultural). Table 1 details these ecosystem services and how these may be altered when transitioned from flowing to pool or dry phases. \n\nThis dataset is associated with the following publication:\nDatry, T., A. Boulton, N. Bonada, K. Fritz, C. Leigh, E. Sauquet, K. Tockner, B. Hugueny, and C. Dahm. Flow intermittence and ecosystem services in rivers of the Anthropocene.   Journal of Applied Ecology. Blackwell Publishing, Malden, MA, USA, 55(1): 353-364, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1374047",
      "keyword": [
        "ecosystem services",
        "ephemeral streams",
        "intermittent rivers",
        "Anthropocene",
        "biodiversity",
        "climate change",
        "conservation",
        "flow management",
        "management",
        "rivers"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "JAE_Figure4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374047/JAE_Figure4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-02",
      "references": [
        "https://doi.org/10.1111/1365-2664.12941"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolomic effects of CeO2, SiO2 and CuO metal oxide nanomaterials on HepG2 cells",
      "description": "The data set is a matrix of cellular biochemical (metabolites) in HepG2 cells treated with various metal oxide nanomaterials composed of CeO2, SiO2 and CuO. \n\nThis dataset is associated with the following publication:\nKitchin, K., S. Stirdivant, B. Robinette, B. Castellon, and X. Liang. Metabolomic effects of CeO2, SiO2 and CuO metal oxide nanomaterials on HepG2 cells.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 14(50): 1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407526",
      "keyword": [
        "nano CeO2",
        "nanomaterial",
        "SiO2",
        "CeO2",
        "CuO",
        "metabolomics",
        "fatty acids",
        "HepG2"
      ],
      "contactPoint": {
        "fn": "Kirk Kitchin",
        "hasEmail": "mailto:kitchin.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Working  Heatmap recolored P and Q criteria for SCIENCE HUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407526/Working%20%20Heatmap%20recolored%20P%20and%20Q%20criteria%20for%20SCIENCE%20HUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-26",
      "references": [
        "https://doi.org/10.1186/s12989-017-0230-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Brown et al MEA Developmental Neurotoxicity Screening Manuscript",
      "description": "These data are the individual parameter and well-level data that were support the conclusions in Brown et al. Note: the parameters CVtime and CVnetwork were not used. \n\nThis dataset is associated with the following publication:\nBrown, J., D. Hall, C. Frank, K. Wallace, W. Mundy, and T. Shafer. Editor's highlight: Evaluation of a Microelectrode Array-based Assay for Neural Network Ontogeny using Training Set Chemicals.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    154(1): 126-139, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1412682",
      "keyword": [
        "developmental neurotoxicity",
        "Microelectrode array",
        "In vitro assay",
        "high-throughput in vitro screening assay"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "Final_Data_Set_SA1_DNT_Paper1 (2)(updated)_CF.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412682/Final_Data_Set_SA1_DNT_Paper1%20%282%29%28updated%29_CF.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-12",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw147"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simplified two and fifty-one region state-based EEIO model comparison",
      "description": "Supporting data for 2 region and 51 region models assessed in the manuscript \"Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States\". Includes results of the correlation and relative errors analysis, results in kg/$ intensities for the 17 commodities from the 2 region models and the 51 region model,  the 51-region model Make and Use tables, 10 NEI emissions and water withdrawal data aggregated by the 15 BEA sectors, interstate commodity flow data aggregated by BEA sectors between states, BEA national level Make and Use tables for 2012 at sector level, and state GDP data. \n\nThis dataset is associated with the following publication:\nYang, Y., W. Ingwersen, and D. Meyer. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   99: 52-57, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390147",
      "keyword": [
        "US state life cycle inventory",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Simplified two and fifty-one region state-based EEIO model comparison.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390147/Simplified%20two%20and%20fifty-one%20region%20state-based%20EEIO%20model%20comparison.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-09",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2017.09.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores Data Set",
      "description": "The two excel files contain all of the raw data that was modeled in the R code.  The 6 word documents contain all of the R code that can be used in R to model the raw rabbit data. \n\nThis dataset is associated with the following publication:\nBartrand, T., H. Marks, M. Coleman, D. Donahue, S. Hines, J. Comer, and S. Taft. Modeling Rabbit Responses to Single and Multiple Aerosol Exposures of Bacillus anthracis Spores (HS 4.04.02 - 475).   RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 37(5): 943-957, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1375008",
      "keyword": [
        "Bacillus antracis",
        "anthrax",
        "dose response",
        "hazard function",
        "survival analysis",
        "Indoor outdoor decontamination",
        "biological",
        "containment",
        "mitigation",
        "microbial risk assessment",
        "dose respose",
        "Bacillus anthracis"
      ],
      "contactPoint": {
        "fn": "Sarah Taft",
        "hasEmail": "mailto:taft.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "PooledDataSet_Mortality.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/PooledDataSet_Mortality.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PooledDataSet_AerosolDose_Updated Units.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/PooledDataSet_AerosolDose_Updated%20Units.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_AcuteContinuous_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_AcuteContinuous_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_BetaModelsContinuous_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_BetaModelsContinuous_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_BootstrapPooledContinuous_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_BootstrapPooledContinuous_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_MultipleContinuous_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_MultipleContinuous_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_PooledANOVAContinuous_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_PooledANOVAContinuous_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_PooledContinuous_Final_Commented.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_PooledContinuous_Final_Commented.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_PooledContinuousApproxBP_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_PooledContinuousApproxBP_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BA_TimeToEvent_PooledContinuousLogProbit_Final.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375008/BA_TimeToEvent_PooledContinuousLogProbit_Final.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-09",
      "references": [
        "https://doi.org/10.1111/risa.12688"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Buse_Francisella Medium",
      "description": "This dataset contains colony forming unit and qPCR data. \n\nThis dataset is associated with the following publication:\nMorris, B., H. Buse, N. Adcock, and E. Rice. A novel broth medium for enhanced growth of Francisella tularensis.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 64(6): 393-468, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407523",
      "keyword": [
        "Francisella",
        "qPCR",
        "enhanced growth medium",
        "rapid methods",
        "virulence",
        "antibiotics",
        "detection",
        "environmental"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse_Francisella Medium.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407523/Buse_Francisella%20Medium.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-15",
      "references": [
        "https://doi.org/10.1111/lam.12725"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A field-based characterization of conductivity in areas of minimal alteration: a case example in the Cascades of northwestern United States",
      "description": "The data set contains 3 files from three sources (1) state (Washington and Oregon), (2) Combined EPA survey date  from Griffith, (3) data from USGS. \n\nThis dataset is associated with the following publication:\nCormier, S., L. Zheng, G. Hayslip, and C. Flaherty. A field-based characterization of conductivity in areas of minimal alteration: a case example in the Cascades of northwestern United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 633: 1657-1666, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1396168",
      "keyword": [
        "Cascades",
        "Washington",
        "Oregon",
        "California",
        "Specific Conductivity",
        "background conductivity",
        "Extirpation",
        "benthic macroinvertebrate"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "State EPA combined USGS Cascade.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396168/State%20EPA%20combined%20USGS%20Cascade.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data sets Cascade 508 20181007.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396168/Data%20sets%20Cascade%20508%2020181007.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.02.018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1396168/documents/DataDictionaryCond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA enzyme decomposition model data",
      "description": "Microbial enzyme activities measured at more than 2000 US streams and rivers. These enzyme data were then used to predict organic matter decomposition and microbial respiration, and to predict carbon efflux from US streams and rivers. \n\nThis dataset is associated with the following publication:\nHill, B., C. Elonen, A. Herlihy, T. Jicha, and R. Mitchell. A synoptic survey of microbial respiration, organic matter decomposition,  and carbon efflux in U.S. streams and rivers.   Limnology and Oceanography Bulletin. American Society of Limnology and Oceanography, Lawrence, KS, USA, 62(1): S147-S159, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390153",
      "keyword": [
        "CO2 efflux",
        "decomposition",
        "ecoenzymes",
        "mcirobial respiration",
        "river continuum"
      ],
      "contactPoint": {
        "fn": "Brian Hill",
        "hasEmail": "mailto:hill.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA_EDM program file.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390153/NRSA_EDM%20program%20file.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA_EDM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390153/NRSA_EDM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-28",
      "references": [
        "https://doi.org/10.1002/lno.10583"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390153/documents/NRSA%20EDM%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "GoldenHeather_A-jhb9",
      "description": "No data are associated with this review/overview article. This dataset is not publicly accessible because: No data are associated with this review/overview paper. It can be accessed through the following means: N/D. Format: No data are associated with this review/overview paper. \n\nThis dataset is associated with the following publication:\nGolden, H., and N. Hoghooghi. Green infrastructure and its catchment-scale effects: an emerging science.   WIREs Water. John Wiley & Sons, Inc., Hoboken, NJ, USA, 5(1): e1254, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1366491",
      "keyword": [
        "Green Infrastructure",
        "watersheds",
        "green infrastrucutre",
        "low impact development",
        "catchments"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-19",
      "references": [
        "https://doi.org/10.1002/wat2.1254"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scale Formation under Blended Phosphate Treatment for a Utility with Lead Pipes",
      "description": "Tap water lead profiles from the Del Toral et al (2013) study, grouped in disturbed and undisturbed Pb service line sites. \n\nThis dataset is associated with the following publication:\nWasserstrom, L., S. Miller , S. Triantafyllidou, M. DeSantis, and M. Schock. Scale Formation under Blended Phosphate Treatment for a Utility with Lead Pipes.   Journal AWWA. American Water Works Association, Denver, CO, USA, 109(11): E464-E478, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390146",
      "keyword": [
        "tap water",
        "lead profile",
        "disturbed lead service line",
        "Blended phosphate",
        "lead corrosion",
        "galvanized pipe",
        "corrosion scale mineralogy/morphology"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig 11.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390146/Fig%2011.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-23",
      "references": [
        "https://doi.org/10.5942/jawwa.2017.109.0121"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bacterial and archael 16S rRNA sequences and taxonomic summary tables for biofilm samples from the bio-reactors",
      "description": "A biofilm anode acclimated with acetate, acetate+methane, and methane growth media for over three years produced a steady current density of 1.6-2.3 mA/m^2 in a microbial electrochemical cell (MxC) fed with methane as the sole electron donor. Geobacter was the dominant genus for the bacterial domain (93%) in the biofilm anode, while methanogens (Methanocorpusculum labreanum and Methanosaeta concilii) accounted for 82% of the total archaeal clones in the biofilm. A fluorescence in situ hybridization (FISH) image clearly showed a biofilm of bacteria and archaea, supporting a syntrophic interaction between them for performing anaerobic oxidation of methane (AOM) in the biofilm anode. Measured cumulative coulombs correlated linearly to the methane-gas concentration in the range of 10% to 99.97% (R^2 ≥ 0.99) when the measurement was sustained for at least 50 min. Thus, cumulative coulombs over 50 min. could be used to quantify the methane concentration in gas samples. \n\nThis dataset is associated with the following publication:\nGao, Y., H. Ryu, B. Rittmann, A. Hussain, and H. Lee. Quantification of the methane concentration using anaerobic oxidation of methane coupled to extracellular electron transfer.   Bioresource Technology. Elsevier Online, New York, NY, USA, 241: 979-984, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379482",
      "keyword": [
        "Extracellular electron transfer",
        "Anaerobic oxidation of methane",
        "Reverse methanogenesis",
        "Sensors"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "TABLEs_CH4 oxidation MEC test.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379482/TABLEs_CH4%20oxidation%20MEC%20test.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC_CH4 oxidation_bacterial seqs.TXT",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379482/MEC_CH4%20oxidation_bacterial%20seqs.TXT",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC_CH4 oxidation_archael seqs.TXT",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379482/MEC_CH4%20oxidation_archael%20seqs.TXT",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1016/j.biortech.2017.06.053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Illumina sequencing data for MEC study on high biofilm conductivity in a Geobacter-enriched biofilm",
      "description": "This study systematically assessed intracellular electron transfer (IET) and extracellular electron transfer (EET) kinetics with respect to anode potential (Eanode) in a mixed-culture biofilm anode enriched with Geobacter spp. High biofilm conductivity (0.96–1.24 mScm^-1) was maintained during Eanode changes from -0.2 to +0.2 V versus the standard hydrogen electrode (SHE), although the steady-state current density significantly decreased from 2.05 to 0.35 Am^-2 in a microbial electrochemical cell. Substantial increase of the Treponema population was observed in the biofilm anode at Eanode=+0.2 V, which reduced intracellular electron-transfer kinetics associated with the maximum specific substrate-utilization rate by a factor of ten. This result suggests that fast EET kinetics can be maintained under dynamic Eanode conditions in a highly conductive biofilm anode as a result of shift of main EET players in the biofilm anode, although Eanode changes can influence IET kinetics. \n\nThis dataset is associated with the following publication:\nDhar, B., H. Ryu, H. Ren, J. Santodomingo, J. Chae, and H. Lee. High Biofilm Conductivity Maintained Despite Anode Potential Changes in a Geobacter-Enriched Biofilm.   ChemSusChem. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim,  GERMANY, 9(24): 3485 –3491, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379488",
      "keyword": [
        "Anode potential",
        "biofilm conductivity",
        "electron transfer",
        "Microbial electrochemical cell"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "MEC-high biofilm conductivity_Illumina results_tables.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379488/MEC-high%20biofilm%20conductivity_Illumina%20results_tables.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC-high biofilm conductivity-cDNA1_taxonomy.summary.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379488/MEC-high%20biofilm%20conductivity-cDNA1_taxonomy.summary.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC-high biofilm conductivity-cDNA4_taxonomy.summary.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379488/MEC-high%20biofilm%20conductivity-cDNA4_taxonomy.summary.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC-high biofilm conductivity-cDNA1_raw seqs.TXT",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379488/MEC-high%20biofilm%20conductivity-cDNA1_raw%20seqs.TXT",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC-high biofilm conductivity-cDNA4_raw seqs.TXT",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379488/MEC-high%20biofilm%20conductivity-cDNA4_raw%20seqs.TXT",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1002/cssc.201601007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Room temperature synthesis of biodiesel using sulfonated graphitic carbon nitride",
      "description": "Sulfonation of graphitic carbon nitride (g-CN) affords a polar and strongly acidic catalyst, Sg-CN, which displays unprecedented reactivity and selectivity in biodiesel synthesis and esterification reactions at room temperature. \n\nThis dataset is associated with the following publication:\nVarma, R., R.B.N. Baig, S. Verma, and M. Nadagouda. Room temperature synthesis of biodiesel using sulfonated graphitic carbon nitride.   NATURE. Macmillan Publishers Ltd., London,  UK,  1-6, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1413224",
      "keyword": [
        "biodiesel",
        "sulfonated graphitic carbon nitride",
        "Room temperature"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "Nature Sci. Rep. 6, 39387; doi 10.1038srep39387 (2016)-Room Temperature Biodiesel Synthesis using Sulfonated Graphitic Carbon Nitride.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413224/Nature%20Sci.%20Rep.%206%2C%2039387%3B%20doi%2010.1038srep39387%20%282016%29-Room%20Temperature%20Biodiesel%20Synthesis%20using%20Sulfonated%20Graphitic%20Carbon%20Nitride.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1038/srep39387",
          "accessURL": "https://doi.org/10.1038/srep39387",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-19",
      "references": [
        "https://doi.org/10.1038/srep39387"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1413224/documents/Nature%20Sci.%20Rep.%206%2C%2039387%3B%20doi%2010.1038srep39387%20%282016%29-Room%20Temperature%20Biodiesel%20Synthesis%20using%20Sulfonated%20Graphitic%20Carbon%20Nitride.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "GIS dataset of candidate terrestrial ecological restoration areas for the United States",
      "description": "A vector GIS dataset of candidate areas for terrestrial ecological restoration based on landscape context.  The dataset was created using NLCD 2011 (www.mrlc.gov) and morphological spatial pattern analysis (MSPA) (http://forest.jrc.ec.europa.eu/download/software/guidos/mspa/).  There are 13 attributes for the polygons in the dataset, including presence and length of roads, candidate area size, size of surround contiguous natural areas, soil productivity, presence and length of road, areas suitable for wetland restoration, and others. \n\nThis dataset is associated with the following publication:\nWickham, J., K. Riiters, P. Vogt, J. Costanza, and A. Neale. An inventory of continental U.S. terrestrial candidate ecological restoration areas based on landscape context.   RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 25(6): 894-902, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1375934",
      "keyword": [
        "biodiversity",
        "ecosystem services",
        "Landscape Ecology",
        "NLCD",
        "Road ecology",
        "water quality"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/enviroatlas",
          "accessURL": "https://www.epa.gov/enviroatlas",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-24",
      "references": [
        "https://doi.org/10.1111/rec.12522"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1375934/documents/MSPA_brch_ppr_Supplemental.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Levels of pyrethroids/degradates in Ex-R food samples",
      "description": "Levels of pyrethroid insecticides and pyrethroid degradates in Ex-R food samples. This dataset is associated with the following publication:\nMorgan, M., D. MacMillan, D. Zehr, and J. Sobus. Pyrethroid insecticides and their environmental degradates in repeated duplicate-diet solid food samples of 50 adults.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28: 40-45, (2018). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374550",
      "keyword": [
        "pyrethroid",
        "insecticides",
        "pyrethroid degradates",
        "solid food",
        "diet",
        "adults",
        "degradates"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2014-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Factors Affecting Annual Zostera ",
      "description": "Dataset for figures in text and supplementary materials for a manuscript describing the influence of microtopographic variation and macroalgal cover on morphometrics and survival of the annual form of eelgrass (Zostera marina). \n\nThis dataset is associated with the following publication:\nNelson, W., and G. Sullivan. Effects of microtopographic variation and macroalgal cover on morphometrics and survival of the annual form of eelgrass (Zostera marina).   AQUATIC BOTANY. Elsevier Science Ltd, New York, NY, USA, 145: 37-44, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1375804",
      "keyword": [
        "Annual Zostera marina",
        "annual eelgrass",
        "microtopography",
        "macroalgae impact",
        "seagrass",
        "recruitment"
      ],
      "contactPoint": {
        "fn": "Walter Nelson",
        "hasEmail": "mailto:nelson.walt@epa.gov"
      },
      "distribution": [
        {
          "title": "Annual Zostera microtopography paper data for SciHub 11_20_17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375804/Annual%20Zostera%20microtopography%20paper%20data%20for%20SciHub%2011_20_17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1016/j.aquabot.2017.11.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Investigation clogging dynamic of permeable pavement systems using embeded sensors",
      "description": "Permeable pavement is a stormwater control measure commonly selected in both new and retrofit applications. However, there is limited information about the clogging mechanism of these systems that effects the infiltration. A permeable pavement site located at the Seitz Elementary School, on Fort Riley, Kansas was selected for this study. An 80-space parking lot was built behind the school as part of an EPA collaboration with the U.S. Army. The parking lot design includes a permeable interlocking concrete pavement section along the downgradient edge. This study monitored the clogging progress of the pavement section using twelve water content reflectometers and three buried tipping bucket rain gauges. This clogging dynamic investigations was divided into three stages namely pre-clogged, transitional, and clogged. Recorded initial relative water content of all three stages were significantly and negatively correlated to antecedent dry weather periods with stronger correlations during clogged conditions. The peak relative water content correlation with peak rainfall 10-min intensity was significant for the water content reflectometers located on the western edge away from the eastern edge; this correlation was strongest during transition stage. Once clogged, rainfall measurements no longer correlated with the buried tipping bucket rain gauges. Both water content reflectometers and buried tipping bucket rain gauges showed the progress of surface clogging. For every 6mm of rain clogging advanced 1 mm across the surface. The results generally support the hypothesis that the clogging progresses from the upgradient to the downgradient edge. The magnitude of the contributing drainage area and rainfall characteristics are effective factors on rate and progression of clogging. \n\nThis dataset is associated with the following publication:\nRazzaghmanesh, M., and M. Borst. Investigation clogging dynamic of permeable pavement systems using embedded sensors.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 557: 887-896, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1372833",
      "keyword": [
        "Green Infrastructure",
        "permeable pavement",
        "clogging",
        "Water content reflectometer",
        "Tipping bucket rain gauge"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Clogging dynamic Science hub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372833/Clogging%20dynamic%20Science%20hub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2018.01.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Screening silver nanoparticles for potential neurotoxicity using cortical neurons grown on microelectrode arrays ",
      "description": "the zip files contain outputs from the R-analysis for the nanosilver experiments. \n\nThis dataset is associated with the following publication:\nStrickland, J., W. LeFew, J. Crooks, D. Hall, J. Ortenzio , K. Dreher , and T. Shafer. In vitro screening of silver nanoparticles and ionic silver using neural networks yields differential effects on spontaneous activity and pharmacological responses..   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 355(11): 1-8, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1413280",
      "keyword": [
        "Nanoparticle",
        "nanosilver",
        "Microelectrode array",
        "neurotoxicity",
        "High throughput screening"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "MEA_NanoAg.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413280/MEA_NanoAg.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-14",
      "references": [
        "https://doi.org/10.1016/j.tox.2016.05.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Methodological Details and Full Bibliography",
      "description": "This dataset has several components, The first part describes fully our literature review, providing details not included in the text. The second part provides all the information we used for our literature review, including the weights assigned to each relevant article and the full bibliography. \n\nThis dataset is associated with the following publication:\nDeJesus-Crespo, R., and R. Fulford. Eco-Health Linkages: Assessing the Role of Ecosystem Goods and Services on Human Health Using Causal Criteria Analysis.   International Journal of Public Health. Springer Basel AG, Basel,  SWITZERLAND, 63(1): 81-92, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1376206",
      "keyword": [
        "Literature Review Process",
        "Eco-Evidence Scoring",
        "Full Bibliography",
        "Causal criteria analysis",
        "Ecosystem Goods and Services",
        "human health",
        "Green space"
      ],
      "contactPoint": {
        "fn": "Rebeca De Jesus Crespo",
        "hasEmail": "mailto:dejesus-crespo.rebeca@epa.gov"
      },
      "distribution": [
        {
          "title": "Eco-Health_DeJesusCrespoFulford_SupplementaryData.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376206/Eco-Health_DeJesusCrespoFulford_SupplementaryData.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-01",
      "references": [
        "https://doi.org/10.1007/s00038-017-1020-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "St Francis Hydro, Soils data",
      "description": "We collected data 2012-2016 covering spatially-explicit, soil layering, bulk density, drainage rate (2012, 2015) infiltration into rain garden mulch and mineral soil layers; and full water cycle monitoring data. Links for the latter are given in the SDM document. \n\nThis dataset is associated with the following publication:\nShuster, W., R. Darner, L. Schifman, and D. Herrmann. Factors contributing to the hydrologic effectiveness of a rain garden network (Cincinnati OH USA).   Infrastructures. MDPI AG, Basel,  SWITZERLAND, 2(3): 11, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1394116",
      "keyword": [
        "infiltration rate",
        "drainage rate",
        "soil layering",
        "bulk density",
        "wastewater",
        "combined sewer system",
        "hydrologic monitoring",
        "Green Infrastructure",
        "stormwater detention"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "DataWrap_StF.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394116/DataWrap_StF.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-18",
      "references": [
        "https://doi.org/10.3390/infrastructures2030011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Minimal_Set_of_In_Vitro_ER_Agonist_Assays_Selection_RegToxPharm_Data",
      "description": "A dataset for the manuscript which demonstrates that it is possible to achieve levels of performance equivalent to the full 16 assay ER agonist model against both in vitro and in vivo reference chemical sets, using only 4 assays in the simplest “subset” ER agonist model. \n\nThis dataset is associated with the following publication:\nJudson, R., K. Houck, E. Watt, and R. Thomas. (REGULATORY TOXICOLOGY AND PHARMACOLOGY) On Selecting a Minimal Set of In Vitro Assays to Reliably Determine Estrogen Agonist Activity.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 91: 39-49, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407002",
      "keyword": [
        "ToxCast",
        "EDSP Models",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Judson/ER_Assay_Select/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Judson/ER_Assay_Select/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2017.09.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets in Gene Expression Omnibus used in the study ORD-020969: Genomic effects of androstenedione and sex-specific liver cancer susceptibility in mice ",
      "description": "Datasets in Gene Expression Omnibus used in the study ORD-020969: Genomic effects of androstenedione and sex-specific liver cancer susceptibility in mice. \n\nThis dataset is associated with the following publication:\nRooney, J., N. Ryan, B. Chorley, S. Hester, E. Kenyon, J. Schmid, B. George, M. Hughes, Y. Sey, A. Tennant, D. MacMillan, J. Simmons, C. McQueen, A. Pandiri, C. Wood, and C. Corton. Genomic effects of androstenedione and sex-specific liver cancer susceptibility in mice.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    160(1): 15–29, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376230",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "Childrens Health",
        "microarray",
        "Androgen receptor",
        "estrogen receptor",
        "glucococorticoid receptor",
        "androstenedione",
        "ethinyl estradiol",
        "prednisone"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-3bk7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376230/Data%20submission%20for%20A-3bk7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-04",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx153"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Concentrations of Indicator Organisms",
      "description": "It is a compilation of organism concentrations of 16 sampling events conducted between July 2015 and February 2016. It also includes statistical analysis such as mean, standard deviation, etc.  also, probability graphs are included. \n\nThis dataset is associated with the following publication:\nSelvakumar, A., and T. OConnor. Organism Detection in Permeable Pavement Parking Lot Infiltrates at the Edison Environmental Center, NJ.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 90(1): 21-29, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390165",
      "keyword": [
        "indicator organisms",
        "porous asphalt",
        "pervious concrete",
        "stormwater runoff"
      ],
      "contactPoint": {
        "fn": "Ariamalar Selvakumar",
        "hasEmail": "mailto:selvakumar.ariamalar@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390165/Raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-05",
      "references": [
        "https://doi.org/10.2175/106143017x14902968254575"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Deposition, critical loads, and exceedances for 1800-2025",
      "description": "This data includes gridded estimates of: (1) decadally averaged total N and S deposition for the conterminous US from 1800-2025, (2) critical loads from the National Critical Loads Database, and (3) exceedances  of critical loads from atmospheric deposition of N and/or S. \n\nThis dataset is associated with the following publication:\nClark, C., J. Phelan, P. Doraiswamy, J. Buckley, J. Cajka, R. Dennis , J. Lynch, C. Nolte, and T. Spero. Atmospheric Deposition and Exceedances of Critical Loads from 1800-2025 for the Coterminous United States.   BULLETIN OF THE ECOLOGICAL SOCIETY OF AMERICA. Ecological Society of America, Ithaca, NY, USA,  978-1002, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407569",
      "keyword": [
        "nitrogen",
        "nitrogen deposition",
        "critical loads",
        "sulfur",
        "acid rain",
        "sulfur deposition",
        "NAAQS",
        "biodiversity",
        "terrestrial ecosystems",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "T017_Data_for_EPA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407569/T017_Data_for_EPA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-28",
      "references": [
        "https://doi.org/10.1002/eap.1703"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407569/documents/EPA_T017_data_dictionary_062317_CMC.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Oxidative C-H activation of amines using protuberant lychee-like goethite",
      "description": "Goethite with protuberant lychee morphology has been synthesized that accomplishes C-H activation of N-methylanilines to generate α-aminonitriles; the catalyst takes oxygen from air and uses it as a co-oxidant in the process. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, R. Varma, and M. Nadagouda. Oxidative C-H activation of amines using protuberant lychee-like goethite.   Nature Communications. Nature Publishing Group, London,  UK, 8: 2024, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389556",
      "keyword": [
        "Oxidative C-H activation",
        "amines",
        "protuberant lychee-like goethite",
        "α-aminonitriles"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389556/Supporting%20information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-10",
      "references": [
        "https://doi.org/10.1038/s41598-018-20246-y",
        "https://pasteur.epa.gov/uploads/10.23719/1389556/documents/Supporting%20information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1389556/documents/Supporting%20information.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Genetic Targets of Acute Toluene Inhalation in Drosophila melanogaster: DGRP activity, overlapping human orthologs, pathway analyses, GWAS results  ",
      "description": "We used the Drosophila Genetics Reference Panel (DGRP), a collection of ~200 homozygous lines of fruit flies whose genomes have been sequenced. We quantified toluene-induced suppression of motor activity in 123 lines of these flies during exposure to toluene, a volatile organic compound known to induce narcosis in mammals via its effects on neuronal ion channels. We then applied genome-wide association analyses on this effect of toluene using the DGRP web portal (http://dgrp2.gnets.ncsu.edu), which identified polymorphisms in candidate genes associated with the variation in response to toluene exposure. We tested ~2 million variants and found 82 polymorphisms located in or near 66 candidate genes that were associated with phenotypic variation for sensitivity to toluene at P < 5 x 10-5, and human orthologs for 52 of these candidate Drosophila genes. None of these orthologs are known to be involved in canonical pathways for mammalian neuronal ion channels, including GABA, glutamate, dopamine, glycine, serotonin, and voltage sensitive calcium channels. \n\nThis dataset is associated with the following publications:\nBushnell, P., W. Ward, T. Morozova, W. Oshiro, M. Lin, R. Judson, S. Hester, J. Mckee, and M. Higuchi. Editor's Highlight: Genetic Targets of Acute Toluene Inhalation in Drosophila melanogaster.   TOXICOLOGICAL SCIENCES. Society of Toxicology,     230-239, (2017).\nTatum-Gibbs, K.R., J. Mckee , M. Higuchi , and P. Bushnell. Effects of Toluene, Acrolein and Vinyl Chloride on Motor Activity of Drosophila Melanogaster.   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 47: 114-24, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1419253",
      "keyword": [
        "fruit fly",
        "toluene",
        "motor activity",
        "DGRP",
        "fly genome",
        "volatile organic compound"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HerrDavid_A-qnkv_DATA_20171221.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419253/HerrDavid_A-qnkv_DATA_20171221.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters",
      "description": "This dataset contains information about all the features extracted from the raw data files, the formulas that were assigned to some of these features, and the candidate compounds that correspond to those formulas. Data sources, bioactivity, exposure estimates, functional uses, and predicted and observed retention times are available for all candidate compounds. \n\nThis dataset is associated with the following publication:\nNewton, S., R. McMahen, J. Sobus, K. Mansouri, A. Williams, A. McEachran, and M. Strynar. Suspect Screening and Non-Targeted Analysis of Drinking Water Using Point-Of-Use Filters.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 234: 297-306, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1394771",
      "keyword": [
        "drinking water",
        "exposome",
        "suspect screening",
        "non-target analysis",
        "high resolution mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Seth Newton",
        "hasEmail": "mailto:newton.seth@epa.gov"
      },
      "distribution": [
        {
          "title": "Newton Brita Dr Water Data 6-8-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394771/Newton%20Brita%20Dr%20Water%20Data%206-8-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-08",
      "references": [
        "https://doi.org/10.1016/j.envpol.2017.11.033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse outcome pathway",
      "description": "cell culture information with toxicity and proteomic changes. \n\nThis dataset is associated with the following publication:\nVanEmon, J., P. Pan, and F. Van Breukelen. Effects of chlorpyrifos and trichloropyridinol on HEK 293 human embryonic kidney cells.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 191: 537-547, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407506",
      "keyword": [
        "adverse outcome pathway",
        "apoptosis",
        "CPF",
        "chlorpyrifos",
        "interleukin",
        "TCP",
        "human embryonic kidney cells",
        "biomarker of exposure"
      ],
      "contactPoint": {
        "fn": "Jeanette Van Emon",
        "hasEmail": "mailto:vanemon.jeanette@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure S1 (002).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407506/Figure%20S1%20%28002%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-12",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.10.039"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Manitowoc R UVDOC data 2011",
      "description": "Manitowoc R UVDOC data 2011. \n\nThis dataset is associated with the following publication:\nWilliamson, C., S. Madronich, A. Lal, R. Zepp, R. Lucas, E. Overholt, K. Rose, S.G. Schladow, and J. Lee-Taylor. Altmetric: 165More detail\r\nArticle | OPEN\r\n\r\nClimate change-induced increases in precipitation are reducing the potential for solar ultraviolet radiation to inactivate pathogens in surface waters.   Scientific Reports. Nature Publishing Group, London,  UK, 7: 13033, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407676",
      "keyword": [
        "climate change",
        "Lake Michigan",
        "pathogens",
        "surface waters",
        "waterborne pathogens"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Manitowoc R UVDOC Data 2011.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407676/Manitowoc%20R%20UVDOC%20Data%202011.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2011-09-02",
      "references": [
        "https://doi.org/10.1038/s41598-017-13392-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Nanorelease Dataset",
      "description": "EPA Nanorelease Dataset. \n\nThis dataset is associated with the following publication:\nWohlleben, W., C. Kingston, J. Carter, E. Sahle-Demessie, S. Vazquez-Campos, B. Acrey, C. Chen, E. Walton, H. Egenolf, P. Muller, and R. Zepp. NanoRelease: Pilot interlaboratory comparison of a weathering protocol applied to resilient and labile polymers with and without embedded carbon nanotubes.   CARBON. Pergamon Press Ltd., New York, NY, USA, 113: 346-360, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407652",
      "keyword": [
        "carbon nanotubes",
        "inter-laboratory comparision",
        "lab prototcol",
        "mwcnt"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA NanoRelease Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407652/EPA%20NanoRelease%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-08",
      "references": [
        "https://doi.org/10.1016/j.carbon.2016.11.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data for aromatase 3D qsar modeling",
      "description": "computational chemistry data (very complex; need to be an expert to understand and use. \n\nThis dataset is associated with the following publication:\nLee, S., and M. Barron. 3D-QSAR Study of Steroidal and Azaheterocyclic Human Aromatase Inhibitors using Quantitative Profile of Protein-Ligand Interactions.   Journal of Cheminformatics. Springer, New York, NY, USA, 10(2): 1-13, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1394789",
      "keyword": [
        "Aromatase inhibitor",
        "adverse outcome pathway",
        "3D-QSAR",
        "steroid",
        "azaheterocycle",
        "hydrophobic contact",
        "nitrogen-heme-iron coordination",
        "dual descriptor"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "data for Figures 2 3 6 7 Aromatase_steroid_result.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394789/data%20for%20Figures%202%203%206%207%20Aromatase_steroid_result.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data for Figures 2 3 6 7 Aromatase_steroidAza_result.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394789/data%20for%20Figures%202%203%206%207%20Aromatase_steroidAza_result.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data for Fig 3 Coordination Descriptors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394789/data%20for%20Fig%203%20Coordination%20Descriptors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental material data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394789/supplemental%20material%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 2 and 3 data Machine Learning Result.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394789/Table%202%20and%203%20data%20Machine%20Learning%20Result.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-22",
      "references": [
        "https://doi.org/10.1186/s13321-017-0253-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenic atmospheres resulting from the photooxidation of aromatic hydrocarbon and NOx mixtures",
      "description": "Although many volatile organic compounds (VOCs) are regulated to limit air pollution and the consequent health effects, the photooxidation products generally are not. Thus, we examined the mutagenicity in Salmonella TA100 of photochemical atmospheres generated in a steady-state atmospheric simulation chamber by irradiating mixtures of single aromatic VOCs, NOx, and ammonium sulfate seed aerosol in air. The 10 VOCs examined were benzene; toluene; ethylbenzene; o-, m-, and p-xylene; 1,2,4- and 1,3,5-trimethylbenzene; m-cresol; and naphthalene. Salmonella were exposed at the air-agar interface to the generated atmospheres for 1, 2, 4, 8, or 16 h. Dark-control exposures produced non-mutagenic atmospheres, illustrating that the gas-phase precursor VOCs were not mutagenic at the concentrations tested. Under irradiation, all but m-cresol and naphthalene produced mutagenic atmospheres, with potencies ranging from 2.0 (p-xylene) to 10.4 (ethylbenzene) revertants m3 mgC-1 h-1. The mutagenicity was due exclusively to direct-acting late-generation products of the photooxidation reactions. Gas-phase chemical analysis showed that a number of oxidized organic chemical species enhanced during the irradiated exposure experiments correlated (r ≥ 0.81) with the mutagenic potencies of the atmospheres. Molecular formulas assigned to these species indicated that they likely contained peroxy acid, aldehyde, alcohol, and other functionalities. \n\nThis dataset is associated with the following publication:\nRiedel, T., D. DeMarini, S. Warren, E. Corse, J. Offenberg, T. Kleindienst, M. Lewandowski, and J. Zavala. Mutagenic atmospheres resulting from the photooxidation of aromatic hydrocarbon and NOx mixtures.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 178: 164-172, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1417737",
      "keyword": [
        "Mutagenicity",
        "Salmonella TA100",
        "Aromatic compounds",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Riedel mutagenicity Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1417737/Riedel%20mutagenicity%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-24",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.01.052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Eastern Redcedar Seedling Assessment",
      "description": "Eastern redcedar tree seedling growth in response to various soil, nitrogen, and photosynthetic radiation characteristics. \n\nThis dataset is associated with the following publication:\nGanguli, A., D. Engle, P. Mayer , and L. Salo. Influence of resource availability on Juniperus virginiana expansion in a forest–prairie ecotone.   Ecosphere. ESA Journals,    7(8): e01433, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407551",
      "keyword": [
        "cross timbers",
        "eastern redcedar",
        "invasion",
        "seedlings",
        "soil texture",
        "tallgrass prairie",
        "upland oak forest",
        "cross timbers; eastern redcedar; invasion; seedlings; soil texture; tallgrass prairie; upland oak forest;"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "ERC_SeedlingAssessments.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407551/ERC_SeedlingAssessments.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2003-12-31",
      "references": [
        "https://doi.org/10.1002/ecs2.1433"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407551/documents/ERC_SeedlingAssessments%20data%20dictionary.xls.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Size-selective performance evaluation of candidate aerosol inlets using polydisperse aerosols",
      "description": "Presented are detailed techniques for the generation, collection, and analysis of polydisperse calibration aerosols for wind tunnel evaluation of size-selective aerosol samplers. \n\nThis dataset is associated with the following publication:\nDart, A., J. Krug, C. Witherspoon, J. Gilberry, Q. Malloy, S. Kaushik, and R. Vanderpool. Development of polydisperse aerosol generation and measurement procedures for wind tunnel evaluation of size-selective aerosol samplers.   AEROSOL SCIENCE AND TECHNOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 52(9): 957-970, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1413966",
      "keyword": [
        "Polydisperse",
        "wind tunnel",
        "samplers",
        "particulate",
        "sampling",
        "Aerosol"
      ],
      "contactPoint": {
        "fn": "Robert Vanderpool",
        "hasEmail": "mailto:vanderpool.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Polydisperse_Aerosol_ScienceHub_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413966/Polydisperse_Aerosol_ScienceHub_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1-SOP for Generation of Polydisperse Aerosols.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413966/S1-SOP%20for%20Generation%20of%20Polydisperse%20Aerosols.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2-SOP for Collection and Extraction of Polydisperse Aerosols.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413966/S2-SOP%20for%20Collection%20and%20Extraction%20of%20Polydisperse%20Aerosols.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S3-SOP for Polydisperse Aerosol Size Distribution Determination.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413966/S3-SOP%20for%20Polydisperse%20Aerosol%20Size%20Distribution%20Determination.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-27",
      "references": [
        "https://doi.org/10.1080/02786826.2018.1469728"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1413966/documents/Polydisperse_Aerosol_ScienceHub_Data.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Barron et al. \"Photoenhanced toxicity of weathered crude oil in sediment and water to larval zebrafish\" submitted to the Bulletin of Environmental Contamination and Toxicology",
      "description": "The dataset contains fish mortality associated with various treatment of oil and dispersants in water accommodated fractions and sediment. The dataset also contains analytical chemistry associated with each experimental treatment. \n\nThis dataset is associated with the following publications:\nBarron, M. Photoenhanced Toxicity of Petroleum to Aquatic Invertebrates and Fish.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 73(1): 40-46, (2017).\nBarron, M., J. Kryzwa, C. Lilavois, and S. Raimondo. Photoenhanced toxicity of weathered crude oil in sediment and water to larval zebrafish.   BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 100(1): 49-53, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1393828",
      "keyword": [
        "mortality",
        "oil",
        "zebrafish",
        "phototenhanced toxicity",
        "dispersants"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "Barron et al phototox data_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393828/Barron%20et%20al%20phototox%20data_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-05",
      "references": [
        "https://doi.org/10.1007/s00244-016-0360-y",
        "https://doi.org/10.1007/s00128-017-2228-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cali2014data",
      "description": "meteorology from onsite sonic at Woodside and distributions of observed concentrations from GMAP mobile monitoring at Woodside. \n\nThis dataset is associated with the following publication:\nIsakov, V., A. Venkatram, R. Baldauf, P. Deshmukh, and M. Zhang. Evaluation and development of tools to quantify the impacts of roadside vegetation barriers on near-road air quality..   INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva,  SWITZERLAND, 62(2): 127-135, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390110",
      "keyword": [
        "mobile monitoring",
        "Roadways",
        "Barriers",
        "vegetation",
        "Dispersion",
        "Models"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Cali2014data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390110/Cali2014data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-25",
      "references": [
        "https://doi.org/10.1504/ijep.2017.10010370"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 4, Cropland Reallocation",
      "description": "This is a netCDF formatted data file.  All data values are reported as grid cell area percent (%).  Since all simulation grid cells are of uniform area.  Reallocation in terms of hectares can be computed as (variable _value*14400).  Data values may be displayed spatially using any number of viewers including VERDI which is open source software that can be downloaded free of charge from http://www.cmascenter.com.\nEach data file contains 29 data layers for each of 30 reallocation variables (crops).  We assume there is no irrigated CRP land area (variable 30).  Each variable value represents the simulation grid cell area that is reallocated from one crop (data layer) to that variable. \n\nThis dataset is associated with the following publication:\nCooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach.   Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1418266",
      "keyword": [
        "integrated multimedia systems modeling",
        "air quality",
        "land quality",
        "water quality",
        "scenarios",
        "national",
        "Mississippi River Basin",
        "Northern Gulf of Mexico",
        "Hypoxia",
        "EPIC",
        "CMAQ",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418266/Figure4.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-29",
      "references": [
        "http://austinpublishinggroup.com/agriculture-crop-sciences/fulltext/aacs-v2-id1031.php"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1418266/documents/Cropland%20Reallocation%20metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of an Environmentally-relevant Mixture of Pyrethroid Insecticides on Spontaneous Activity in Primary Cortical Networks on Microelectrode Arrays",
      "description": "This manuscript tests the hypothesis of dose additivity of an environmental mixture of pyrethriod insecticides at the level of network function, in vitro. The results demonstrate that permethrin, deltamethrin, esfenvalerate, cypermethrin and beta-cyfluthrin all change the activity of networks as measured by microelectrode arrays, and that the effects of an environmental-relevant mixture of these 5 compounds can be predicted based on a dose-additivity model.\nThese results are consistent with results from in vivo experiments that examined motor activity. This study supports the Office of Pesticides decision to regulate mixtures of pyrethroids based on dose additivity. \n\nThis dataset is associated with the following publication:\nJohnstone , A., J. Strickland, K. Crofton , C. Gennings, and T. Shafer. Effects of an Environmentally-relevant Mixture of Pyrethroid Insecticides on Spontaneous Activity in Primary Cortical Networks on Microelectrode Arrays.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 60(16): 234-239, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390091",
      "keyword": [
        "Dose-additivity",
        "Microelectrode array",
        "Mixtures",
        "neurotoxicity",
        "pyrethroids",
        "in vitro"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "ShaferTimothy_SciHub Dataset for pyrethroid mixture.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390091/ShaferTimothy_SciHub%20Dataset%20for%20pyrethroid%20mixture.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-09",
      "references": [
        "https://doi.org/10.1016/j.neuro.2016.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerial energetic residue data from JBER C4 testing",
      "description": "Aerially-collected energetic residues from surface detonation of C4. \n\nThis dataset is associated with the following publication:\nWalsh, M., B. Gullett, M. Walsh, M. Bigl, and J. Aurell. Improving post-detonation energetics residues estimations for the Life Cycle Environmental Assessment process for munitions..   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 194: 622-627, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375324",
      "keyword": [
        "C4",
        "Life Cycle Environmental Assessment",
        "munitions",
        "energetics",
        "detonation residues",
        "combustion products",
        "fine particles",
        "emission factors"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub JBER 06 06 2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375324/Data%20Table%20Science%20Hub%20JBER%2006%2006%202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-06",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.11.072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets Supporting Paper Titled, “Influence of Network Model Detail on the Performance of Designs of Contamination Warning Systems”",
      "description": "This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: \n\n“The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies”.\n\nThe EPANET network models provided here are for the network model named “N1” in this paper. \n\nThis dataset is associated with the following publication:\nJanke , R., and M. Davis. The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies.   Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen,  GERMANY,  1-25, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390111",
      "keyword": [
        "EPANET network models",
        "TEVA-SPOT ensemble and regret analysis",
        "WATER DISTRIBUTION SYSTEMS; OPTIMIZATION; SIMULATION;",
        "water quality",
        "drinking water distribution systems",
        "community health",
        "public health"
      ],
      "contactPoint": {
        "fn": "Robert Janke",
        "hasEmail": "mailto:janke.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "A-2ngi_N1_EPANET_Models.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390111/A-2ngi_N1_EPANET_Models.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-13",
      "references": [
        "https://doi.org/10.5194/dwes-2017-39"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPIC Forest LAI Dataset: LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic provinces in VA and NC.",
      "description": "This data depicts calculated and validated LAI estimates generated from the USDA Environmental Policy Impact Climate (EPIC) model (a widely used, field-scale, biogeochemical model) on four forest complexes spanning three physiographic\nprovinces in Virginia and North Carolina. Measurements of forest composition (species and number), LAI, tree diameter, basal area, and canopy height were recorded at each site during the 2002 field season. Calibrated EPIC results show stand-level temporally resolved LAI estimates with R2 values ranging from 0.69 to 0.96, and stand maximum height estimates within 20% of observation. \n\nThis dataset is associated with the following publication:\nIiames, J., E. Cooter, D. Schwede, and J. Williams. A Comparison of Simulated and Field-Derived Leaf Area Index (LAI) and Canopy Height Values from Four Forest Complexes in the Southeastern USA.   Forests. MDPI AG, Basel,  SWITZERLAND, 9(1): 26, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1418159",
      "keyword": [
        "LAI",
        "Southeastern USA",
        "EPIC",
        "mixed forest",
        "unmanaged",
        "nitrogen deposition",
        "atmospheric flux"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "ExcelData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418159/ExcelData.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "forests-09-00026 (1).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418159/forests-09-00026%20%281%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.mdpi.com/journal/forests/special_issues/LAI_remotesensing",
          "accessURL": "https://www.mdpi.com/journal/forests/special_issues/LAI_remotesensing",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-26",
      "references": [
        "https://doi.org/10.3390/f9010026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures6&7_Tables2&3",
      "description": "This file contains three netCDF formatted files containing simulation model results used to produce Figures 6 and 7 and tables 3 and 4.  These data can be accessed using a variety of open source software tools, e.g., NCDUMP and R as well as graphical display software such as R and VERDI (http://www.cmascenter.org). \n\nThis dataset is associated with the following publication:\nCooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach.   Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1418437",
      "keyword": [
        "integrated multimedia systems modeling",
        "air quality",
        "land quality",
        "water quality",
        "scenarios",
        "national",
        "Mississippi River Basin",
        "Northern Gulf of Mexico",
        "Hypoxia",
        "EPIC",
        "CMAQ",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures6&7_Tables2&3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418437/Figures6%267_Tables2%263.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-29",
      "references": [
        "http://austinpublishinggroup.com/agriculture-crop-sciences/fulltext/aacs-v2-id1031.php"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1418437/documents/EPIC_metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 5, Biofuel refinery facility locations",
      "description": "This workbook contains the locations and types of current and anticipated biofuel feedstock processing facilities assumed under the simulated scenarios. \n\nThis dataset is associated with the following publication:\nCooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach.   Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1418436",
      "keyword": [
        "integrated multimedia systems modeling",
        "air quality",
        "land quality",
        "water quality",
        "scenarios",
        "national",
        "Mississippi River Basin",
        "Northern Gulf of Mexico",
        "Hypoxia",
        "EPIC",
        "CMAQ",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_5_facility_locations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418436/Figure_5_facility_locations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-30",
      "references": [
        "http://austinpublishinggroup.com/agriculture-crop-sciences/fulltext/aacs-v2-id1031.php"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Table 1:  Biofuels simulation scenarios",
      "description": "A spreadsheet containing information used to generate Table 1.  Agricultural Market sector results presented in the spreadsheet were generated elsewhere (non-EPA) and have been published previously.  Their generation is not part of this Science Hub project.  Documentation and Metadata supporting these data are provided in the Table 1 file and in the link provided in the supporting documents section. \n\nThis dataset is associated with the following publication:\nCooter, E., R. Dodder, J. Bash, A. Elobeid, L. Ran, V. Benson, and D. Yuan. Exploring a United States Maize Cellulose Biofuel Scenario Using an Integrated Energy and Agricultural Markets Solution Approach.   Annals of Agricultural & Crop Sciences. Austin Publishing Group, Jersey City, NJ, USA, 2(2): 1031, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1418434",
      "keyword": [
        "integrated multimedia systems modeling",
        "air quality",
        "land quality",
        "water quality",
        "scenarios",
        "national",
        "Mississippi River Basin",
        "Northern Gulf of Mexico",
        "Hypoxia",
        "EPIC",
        "CMAQ",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Ellen Cooter",
        "hasEmail": "mailto:cooter.ellen@epa.gov"
      },
      "distribution": [
        {
          "title": "Table_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418434/Table_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-30",
      "references": [
        "http://austinpublishinggroup.com/agriculture-crop-sciences/fulltext/aacs-v2-id1031.php",
        "https://www.sciencedirect.com/science/article/pii/S136481521300128X?via%3Dihub"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MARGA_Chen et al_2016",
      "description": "These data describe the chromatography characteristics of the MARGA instrument software as compared to an alternative, independent technique for chromatogram processing, including an assessment of accuracy, precision and method detection limit. \n\nThis dataset is associated with the following publication:\nChen, X., J. Walker, and C. Geron. Chromatography related performance of the Monitor for Aerosols and Gases in Ambient Air (MARGA): laboratory and field based evaluation.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10(3893): 3908, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390105",
      "keyword": [
        "MARGA",
        "online ion chromatography",
        "inorganic PM",
        "nitrogen",
        "sulfur",
        "deposition",
        "bidirectional flux",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "MARGA_Chen et al_2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390105/MARGA_Chen%20et%20al_2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-21",
      "references": [
        "https://doi.org/10.5194/amt-10-3893-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Buse_Francisella and free-living amoebae data sets",
      "description": "Co-infection data in the form of colony forming units and amoeba cell counts. \n\nThis dataset is associated with the following publication:\nBuse , H., F. Schaefer, and G. Rice. Enhanced survival but not amplification of Francisella spp. in the presence of free-living amoebae.   Acta Microbiologica et Immunologica Hungarica. Akademiai Kiado, Budapest,  HUNGARY, 64(1): 17-36, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407522",
      "keyword": [
        "legionella",
        "amoeba",
        "Francisella",
        "co-cultures",
        "Acanthamoeba",
        "Vermamoeba",
        "endosymbiont",
        "environmental persistence",
        "host",
        "parasite"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse_Ft FLA txt data set.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407522/Buse_Ft%20FLA%20txt%20data%20set.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-17",
      "references": [
        "https://doi.org/10.1556/030.63.2016.015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Radford McAlester flight paths",
      "description": "Heights and position of UAS from starting point. \n\nThis dataset is associated with the following publication:\nAurell, J., B. Mitchell, V. Chirayath, J. Jonsson, D. Tabor, and B. Gullett. Field determination of multipollutant, open area combustion source emission factors with a hexacopter unmanned aerial vehicle.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 166(11): 433-440, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376669",
      "keyword": [
        "emissions",
        "hexacopter",
        "combustion",
        "plume",
        "sensor",
        "sampler",
        "unmanned aerials system"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub UAS Kolibri paper 04 11 2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376669/Data%20Table%20Science%20Hub%20UAS%20Kolibri%20paper%2004%2011%202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-11",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.07.046"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regional Marginal Abatement Cost Curves for NOx",
      "description": "Data underlying the figures included in the manuscript \"Marginal abatement cost curve for NOx incorporating controls, renewable electricity, energy efficiency and fuel switching\". Data include national and regional Marginal Abatement Cost Curves. \n\nThis dataset is associated with the following publication:\nLoughlin, D., A. Macpherson, K. Kaufman, and B. Keaveny. Marginal abatement cost curve for NOx incorporating controls, renewable electricity,  energy efficiency and fuel switching.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 67(10): 1115-1125, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1371943",
      "keyword": [
        "MACC",
        "NOx",
        "renewable electricity",
        "energy efficiency",
        "fuel switching",
        "natural gas",
        "Energy systems modeling",
        "MARKAL",
        "nested sensitivity analysis",
        "electricity generation",
        "coal",
        "emission projections",
        "scenario analysis",
        "air quality",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "figure_data_MACC_v5_051617.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371943/figure_data_MACC_v5_051617.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-31",
      "references": [
        "https://doi.org/10.1080/10962247.2017.1342715"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data ",
      "description": "In order to understand fish biology and reproduction it is important to know the fecundity patterns of individual fish, as frequently established by recording the output of mixed-sex groups of fish in a laboratory setting. However, for understanding individual reproductive health and modeling purposes it is important to estimate individual fecundity from group fecundity. A multi-stage method was developed that disaggregates group level data into estimates for individual-level clutch size and spawning interval distributions. The disaggregation technique was verified by combining data from fathead minnow pairs, and checking that the disaggregation method reproduced the original clutch sizes and spawning intervals. \n\nThis dataset is associated with the following publication:\nNishimura, J., R. Smith, K. Jensen, G. Ankley, and K. Watanabe. Estimating intermittent individual spawning behavior via disaggregating group data.   BULLETIN OF MATHEMATICAL BIOLOGY. Elsevier Science Ltd, New York, NY, USA, 80(3): 687-700, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1393857",
      "keyword": [
        "disaggregation",
        "maximum likelihood",
        "deconvolution",
        "inverse problems",
        "endocrine disruption",
        "fish",
        "reproduction",
        "mode of action (MOA)",
        "fathead minnow"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "AnkleyGerald_A-9327_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393857/AnkleyGerald_A-9327_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1007/s11538-017-0379-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating environmental co-benefits of U.S. low-carbon pathways using the GCAM-USA integrated assessment model ",
      "description": "There are many technological pathways that can lead to reduced carbon dioxide (CO2) emissions.  However, these pathways can have substantially different impacts on other environmental endpoints, such as air quality and energy-related water demand. This study uses an integrated assessment model with state-level resolution of the U.S. energy system to compare environmental impacts of alternative low-carbon pathways. One set of pathways emphasizes nuclear energy and carbon capture and storage (NUC/CCS), while another set emphasizes renewable energy (RE). These are compared with pathways in which all technologies are available. Air pollutant emissions, mortality costs attributable to particulate matter less than 2.5 microns in diameter (PM2.5), and energy-related water demands are evaluated for 50% and 80% CO2 reduction targets in the U.S. in 2050. The RE low-carbon pathways require less water withdrawal and consumption than the NUC/CCS pathways because of the large cooling demands of nuclear power and CCS. However, the NUC/CCS low-carbon pathways produce greater health benefits, mainly because the NUC/CCS assumptions result in less primary PM2.5 emissions from residential wood combustion. Environmental co-benefits differ among states because of factors such as existing technology stock, resource availability, and environmental and energy policies. An important finding is that biomass in the building sector can offset some of the health co-benefits of the low-carbon pathways even though it plays only a minor role in reducing CO2 emissions. \nThis dataset consists of source code, input data, and processed outputs for Ou et al. (2018), published in Applied Energy. \n\nThis dataset is associated with the following publication:\nOu, Y., W. Shi, S.J. Smith, C.M. Ledna, J.J. West, C. Nolte, and D. Loughlin. Estimating environmental co-benefits of U.S. low-carbon pathways using an integrated assessment model with state-level resolution.   Applied Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 216: 482-493, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1418337",
      "keyword": [
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Ou et al. dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418337/Ou%20et%20al.%20dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-14",
      "references": [
        "https://doi.org/10.1016/j.apenergy.2018.02.122"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seahorse Manuscript Data Set ",
      "description": "Metadata for figures presented in manuscript reporting bioenergetic effects of exposure to environmentally relevant organic compound in human airway epithelial cells. \n\nThis dataset is associated with the following publication:\nLavrich, K., E. Corteselli, P. Wages, P. Bromberg, S. Simmons, E. Gibbs-Flournoy, and J. Samet. Investigating Mitochondrial Dysfunction in Human Lung Cells Exposed to Redox-Active PM Components.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 342: 99-107, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1394616",
      "keyword": [
        "Extracelular flux analyses",
        "Mitochondria",
        "quinones",
        "airway epithelial cells"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Seahorse Manuscript Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394616/Seahorse%20Manuscript%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-08",
      "references": [
        "https://doi.org/10.1016/j.taap.2018.01.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The reduction of summer sulfate and switch from summer to winter PM2.5 concentration maxima in the U.S.",
      "description": "These four files each contain 24-hour PM2.5 concentrations collected between 2000-2015. \n\nThis dataset is associated with the following publication:\nChan, E., B. Gantt, and S. McDow. The reduction of summer sulfate and switch from summertime to wintertime PM2.5 concentration maxima in the United States.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 175: 25-32, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1390150",
      "keyword": [
        "air quality",
        "Fine Particulate Matter",
        "pm2.5",
        "sulfate",
        "nitrate",
        "organic carbon"
      ],
      "contactPoint": {
        "fn": "Stephen McDow",
        "hasEmail": "mailto:mcdow.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "daily_site_level_PM2.5_2000_2015_science_hub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390150/daily_site_level_PM2.5_2000_2015_science_hub.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_site_level_sulfate_2000_2015_science_hub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390150/daily_site_level_sulfate_2000_2015_science_hub.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_site_level_nitrate_2000_2015_science_hub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390150/daily_site_level_nitrate_2000_2015_science_hub.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_site_level_OC_2000_2015_science_hub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390150/daily_site_level_OC_2000_2015_science_hub.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-16",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.11.055"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390150/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Global Mercury Observatory System Land-based Monitoring Data Portal",
      "description": "Global Mercury Observation System On-line Data Portal. This dataset is not publicly accessible because: Data was unable to be uploaded in ScienceHub but can be obtained through contact with the researcher specified below. It can be accessed through the following means: Contacts\r\nFor more information on GMOS and its activities, please contact:\r\n\r\nProgramme Coordinator\r\n\r\nDr. Nicola Pirrone\r\nCNR-Institute of Atmospheric Pollution Research, Rome, Italy\r\nE-mail: pirrone@iia.cnr.it\r\n\r\nPhone: +39.0984.493239, Fax: +39.0984.493215 (at Division of Rende)\r\nPhone: +39.06.90672803 / 2831, Fax: +39.06.90672472 (at the Institute Headquarters in Rome). Format: Monitoring data is generated from Tekran continuous mercury monitoring instruments (hourly) at globally distributed sites. \n\nThis dataset is associated with the following publications:\nCarbone, F., A. Bruno, A. Naccarato, F. De Simone, C. Gencarelli, F. Sprovieri, I.M. Hedgecock, M. Landis, H. Shov, K.A. Pfaffhuber, K.A. Read, L. Martin, H. Angot, A. Dommergue, O. Magand, and N. Pirrone. The Superstatistical Nature and Interoccurrence Time of Atmospheric Mercury Concentration Fluctuations.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(2): 764-774, (2018).\nDe Simone, F., P. Artaxo, M. Bencardino, S. Cinnirella, F. Carbone, F. D'Amore, A. Dommergue, X. Bin Feng, C. Gencarelli, I. Hedgecock, M. Landis, F. Sprovieri, N. Suzuki, I. Wangberg, and N. Pirrone. Particulate-phase mercury emissions from biomass burning and impact on resulting deposition: a modelling assessment.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 1881-1899, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1419007",
      "keyword": [
        "Probability density function",
        "Tsallis q-statistics",
        "Global atmospheric turbulence"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2017-12-31",
      "references": [
        "https://doi.org/10.1002/2017jd027384",
        "https://doi.org/10.5194/acp-17-1881-2017",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260940",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070161"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sample data Red River_2011-2013",
      "description": "OK Fish Kill data from Red River 2011-2013. \n\nThis dataset is associated with the following publication:\nJones-Lepp, T., V. Taguchi, W. Sovocool, D. Betowski, P. DeArmond, B. Schumacher, W. Winnik, R. McMillin, and C. Armstrong. Novel contaminants identified in fish kills in the Red River watershed, 2011–2013.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(2): 336-344, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1377033",
      "keyword": [
        "fish kills",
        "mass spectrometry",
        "non-target analysis"
      ],
      "contactPoint": {
        "fn": "Tammy Jones-Lepp",
        "hasEmail": "mailto:jones-lepp.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "metals data correlations 081117.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377033/metals%20data%20correlations%20081117.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sample data Red River Region 6 081817.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377033/sample%20data%20Red%20River%20Region%206%20081817.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1002/etc.3989"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity of Simulated Atmospheres",
      "description": "The data are the number of colonies per Petri plate for all the experiments.  The colonies are mutants and are also called revertants (rev)--because the Salmonella mutagenicity assay is a \"reverse mutation\" assay.  The data show the number of colonies (rev) per Petri plate for each experiment for each hour of exposure (1, 2, 4, 8, or 16 hours). \n\nThis dataset is associated with the following publication:\nZavala-Mendez, J., J. Krug, S. Warren, T. Krantz, C. King, J. Mckee, S. Gavett, M. Lewandowski, W. Lonneman, T. Kleindienst, M. Meier, M. Higuchi, M.I. Gilmour, and D. DeMarini. Evaluation of an Air Quality Health Index for Predicting the Mutagenicity of Simulated Atmospheres.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3045–3053, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1393584",
      "keyword": [
        "Mutagenicity",
        "Salmonella",
        "air pollution",
        "Smog",
        "mutation spectra",
        "Ozone",
        "PM"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Smog Chamber SA-PM and SA-O3 Data Set.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393584/Science%20Hub%20Smog%20Chamber%20SA-PM%20and%20SA-O3%20Data%20Set.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-19",
      "references": [
        "https://doi.org/10.1021/acs.est.8b00613"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Southeast Atmosphere Studies: learning from model-observation syntheses",
      "description": "Observed and modeled data shown in figure 2b-c. \n\nThis dataset is associated with the following publication:\nMao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G. Wolfe, J. Jimenez, H. Pye, N.L. Ng, L. Xu, V.F. McNeill, K. Tsigaridis, B. McDonald, C. Warneke, A. Guenther, M. Alvarado, J. de Gouw, L. Mickley, E. Liebensperger, R. Mathur, C. Nolte, R. Portmann, N. Unger, M. Tosca, and L. Horowitz. Southeast Atmosphere Studies: learning from model-observation syntheses.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 2615-2651, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407538",
      "keyword": [
        "SOAS",
        "SAS",
        "Southeastern USA",
        "SOA",
        "Ozone",
        "CMAQ",
        "Aerosol"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "maoetal.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407538/maoetal.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-16",
      "references": [
        "https://doi.org/10.5194/acp-18-2615-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Enhancements to AERMOD’s Building Downwash Algorithms based on Wind-Tunnel and Embedded-LES Modeling -BDW-2",
      "description": "This data set is associated with the results found in the journal article: Monbureau et al, 2018. Enjancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2018.02.022. \nThe goal of this study is to improve AERMOD's ability to accurately model important and complex building downwash scenarios by incorporating knowledge gained from a recently completed series of wind tunnel studies and complementary large eddy simulations of flow and dispersion around simple structures for a variety of building dimensions, stack locations, stack heights, and wind angles. This study presents three modifications to the building downwash algorithm in AERMOD that improve the physical basis and internal consistency of the model, and one modification to AERMOD's building pre-processor to better represent elongated buildings in oblique winds. These modifications are demonstrated to improve the ability of AERMOD to model observed ground-level concentrations in the vicinity of a building for the variety of conditions examined in the wind tunnel and numerical studies. \n\nThis dataset is associated with the following publication:\nMonbureau, E., D. Heist, S. Perry, L. Brouwer, H. Foroutan , and W. Tang. Enhancements to AERMOD's building downwash algorithms based on wind-tunnel and Embedded-LES modeling.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 179: 321-330, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1424691",
      "keyword": [
        "dispersion modeling",
        "building downwash",
        "wind tunnel",
        "CFD"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HeistDavid_A-v42c_DatafilesBDW-2-20170807.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424691/HeistDavid_A-v42c_DatafilesBDW-2-20170807.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-08",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.02.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1424691/documents/HeistDavid_A-v42c_DataDictionary-BDW-2_20170807.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Metal concentrations from permeable pavement parking lot in Edison, NJ",
      "description": "The U.S. Environmental Protection Agency constructed a 4000-m2 parking lot in Edison, New Jersey in 2009. The parking lot is surfaced with three permeable pavements [permeable interlocking concrete pavers (PICP), pervious concrete (PC), and porous asphalt (PA)]. Samples of each permeable pavement infiltrate, surface runoff from traditional asphalt (CC), and rainwater (RW) were analyzed in duplicate for 22 metals (including Al, As, Ba, Be, Ca, Cd, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Pb, Sb, Si, Sn, Sr, V, and Zn) in both total and dissolved phases for 6 years (Jan. 2010 - Oct. 2015). \n\nThis dataset is associated with the following publication:\nLiu, J., and M. Borst. Performances of Metal Concentrations from Three Permeable Pavement Infiltrates.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 136: 41-53, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1392578",
      "keyword": [
        "Censored data",
        "stormwater",
        "permeable pavement",
        "metal concentration"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "EPLM_large.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1392578/EPLM_large.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-30",
      "references": [
        "https://doi.org/10.1016/j.watres.2018.02.050"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "QCL N2O data final MayAugust2016",
      "description": "The dataset consists of daily measurements of N2O, N2O isotopic abundance and site preference, and CO2 flux. Data are presented as a daily averages of 10 second data, obtained over a 46 day period. \n\nThis dataset is associated with the following publication:\nYuan, Y., H. Chen, W. Yuan, D. Williams, J. Walker, and w. Shi. Is biochar-manure co-compost a better solution for soil health improvement and N2O emissions mitigation?.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 113: 14-25, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1412705",
      "keyword": [
        "biochar",
        "nitrous oxide",
        "isotopomer",
        "quantum cascade laser"
      ],
      "contactPoint": {
        "fn": "David Williams",
        "hasEmail": "mailto:williams.davidj@epa.gov"
      },
      "distribution": [
        {
          "title": "N2O chamber data.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412705/N2O%20chamber%20data.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-30",
      "references": [
        "https://doi.org/10.1016/j.soilbio.2017.05.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1412705/documents/data%20dictionary%20N2O%20chamber%20data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Snohomish Estuary nutrient enhanced coastal acidification pH time series and grab samples",
      "description": "High-resolution (15-minute frequency) monitoring of pH, dissolved oxygen, salinity, temperature, depth, and chlorophyll was conducted from July 15-October 1, 2015 in a shallow, subtidal seagrass bed in Puget Sound, WA, USA.  Grab samples for instrument validation and carbonate chemistry analysis were periodically taken next to the in-situ instrumentation. \n\nThis dataset is associated with the following publication:\nPacella, S., C. Brown, G. Waldbusser, R. Labiosa, and B. Hales. Seagrass habitat metabolism increases short-term extremes and long-term offset of CO2 under future ocean acidification.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 115(15): 3870-3875, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407616",
      "keyword": [
        "Ocean acidification",
        "coastal acidification",
        "seagrasses",
        "carbonate chemistry"
      ],
      "contactPoint": {
        "fn": "Stephen Pacella",
        "hasEmail": "mailto:pacella.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "PNAS_sciencehub_Pacella.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407616/PNAS_sciencehub_Pacella.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-30",
      "references": [
        "https://doi.org/10.1073/pnas.1703445115"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Carbonate chemistry, water quality, coral measurements",
      "description": "Carbonate chemistry parameters (pH, total alkalinity, and pCO2), water quality parameters (Temperature, salinity, Ca, Mg, PO4, NH3 and NO3)  as well as all coral measurements (buoyant weight, tissue surface area, surface area density, calcification rate, tissue growth rate, and percent change in surface area density) taken over the three month exposure. \n\nThis dataset is associated with the following publication:\nEnzor, L., C. Hankins, D. Vivian, W. Fisher, and M. Barron. Calcification continues in Caribbean reef-building corals at high pCO2 levels in a recirculating ocean acidification exposure system.   JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY. Elsevier Science Ltd, New York, NY, USA, 499: 9-16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1411864",
      "keyword": [
        "Recirculating System",
        "Ocean acidification",
        "Caribbean coral",
        "elevated pCO2",
        "calcification"
      ],
      "contactPoint": {
        "fn": "Laura Enzor",
        "hasEmail": "mailto:enzor.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "Carbonate Chemistry, water quality and coral measurements, 3-15-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411864/Carbonate%20Chemistry%2C%20water%20quality%20and%20coral%20measurements%2C%203-15-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-25",
      "references": [
        "https://doi.org/10.1016/j.jembe.2017.12.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1411864/documents/Data%20dictionary%2C%203-15-18.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Ecohydrological Index, Native Fish, and Climate Trends and Relationships in the Kansas River Basin_dataset",
      "description": "The dataset is an excel file that contain data for the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nSinnathamby, S., K. Douglas-Mankin, M. Muche, S. Hutchison, and A. Anandhi. Ecohydrological index, native fish, and climate trends and relationships in the Kansas River basin.   ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 11(1): e1909, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390136",
      "keyword": [
        "Hydrologic indices",
        "Trend analysis",
        "Ecohydrology",
        "Hydrologic change impacts",
        "Plains Minnow",
        "Common Shiner"
      ],
      "contactPoint": {
        "fn": "Muluken Muche",
        "hasEmail": "mailto:muche.muluken@epa.gov"
      },
      "distribution": [
        {
          "title": "MucheMuluken_Ecohydrology_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390136/MucheMuluken_Ecohydrology_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1002/eco.1909"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390136/documents/MucheMuluken_Ecohydrology_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "People and Water – IWI-HWBI",
      "description": "The dataset contains the coverages used in the analysis including such things as shp files. \n\nThis dataset is associated with the following publication:\nScown, M., J. Flotemersch, T. Spanbauer, T. Eason, A. Garmestani, and B. Chaffin. People and water: Exploring the social-ecological condition of watersheds of the United States.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 5(64): 1-12, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407589",
      "keyword": [
        "ecosystem services",
        "human well-being",
        "social-ecological systems",
        "sustainability",
        "watersheds",
        "governance"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "People and Water – IWI-HWBI Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407589/People%20and%20Water%20%E2%80%93%20IWI-HWBI%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-30",
      "references": [
        "https://doi.org/10.1525/elementa.189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emissions from Prescribed Burning of Agricultural Fields in the Pacific Northwest",
      "description": "PM2.5, volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), and polychlorinated dibenzodioxins/dibenzofurans (PCDDs/PCDFs), and continuous measurements of black carbon (BC), particle mass by size, CO, CO2, CH4, and aerosol characteristics. \n\nThis dataset is associated with the following publication:\nHolder, A., B. Gullett, S. Urbanski, R. Elleman, S. O'Neil, D. Tabor, B. Mitchell, and K. Baker. Emissions from Prescribed Burning of Agricultural Fields in the Pacific Northwest.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 166: 22-33, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390145",
      "keyword": [
        "agricultural burning",
        "emission factors",
        "wheat",
        "bluegrass",
        "particulate matter",
        "organics"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub WA ID 01 26 2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390145/Data%20Table%20Science%20Hub%20WA%20ID%2001%2026%202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-27",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.06.043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting_Systemic_Toxicity_Effects_ArchTox_2017_Data",
      "description": "In an effort to address a major challenge in chemical safety assessment, alternative approaches for characterizing systemic effect levels, a predictive model was developed. Systemic effect levels were curated from ToxRefDB, HESS-DB and COSMOS-DB from numerous study types totaling 4382 in vivo studies for 1201 chemicals. Observed systemic effects in mammalian models are a complex function of chemical dynamics, kinetics, and inter- and intra-individual variability. In order to address the complexity problem, systemic effect levels were modeled at the study-level by leveraging study covariates (e.g., study type, strain, administration route) in addition to multiple descriptor sets, including chemical (ToxPrint, PaDEL, and Physchem), biological (ToxCast), and kinetic descriptors. Using Random Forest modeling with cross-validation and external validation procedures, study-level covariates alone accounted for approximately 20% of the variance reducing the root mean squared error (RMSE) from 0.96 log10 mg/kg/day to 0.85 log10 mg/kg/day, providing a baseline performance metric (lower expectation of model performance). A consensus model developed using a combination of study-level covariates, chemical, biological, and kinetic descriptors explained a total of 38% of the variance with an RMSE of 0.76 log10 mg/kg/day. A benchmark model (upper expectation of model performance) was also developed with an RMSE of 0.5 log10 mg/kg/day by incorporating study-level covariates and the mean effect level per chemical. To achieve a representative chemical-level prediction, the minimum study-level predicted and observed effect level per chemical were compared reducing the RMSE from 1.1 to 0.8 log10 mg/kg/day. Although biological descriptors did not improve model performance, the final model was enriched for biological descriptors that indicated xenobiotic metabolism gene expression, oxidative stress, and cytotoxicity, demonstrating the importance of accounting for kinetics and non-specific bioactivity in predicting systemic effect levels. Herein, we have generated an externally predictive model of systemic effect levels for use as a safety assessment tool and have generated forward predictions for thousands of chemicals. \n\nThis dataset is associated with the following publication:\nTruong, L., G. Ouedraogo, L. Pham, J. Clouzeau, S. Loisel-Joubert, D. Blanchet, H. Noçairi, W. Setzer, R. Judson, C. Grulke, K. Mansouri, and M. Martin. (Archives of Toxicology) Predicting In Vivo Effect Levels for Repeat Dose Systemic Toxicity using Chemical, Biological, Kinetic and Study Covariates.   Archives of Toxicology. Springer, New York, NY, USA, 92(2): 587-600, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407006",
      "keyword": [
        "ToxRefDB",
        "ToxCast",
        "Predictive Toxicity",
        "Systemic Effects",
        "Effect Levels",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/MartinMatt/Systemic_Toxicity_Model/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/MartinMatt/Systemic_Toxicity_Model/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-08",
      "references": [
        "https://doi.org/10.1007/s00204-017-2067-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full Scale Drinking Water System Decontamination at the Water Security Test Bed",
      "description": "The EPA’s Water Security Test Bed (WSTB) facility is a full-scale representation of a drinking water distribution system.  In collaboration with the Idaho National Laboratory (INL), EPA designed the WSTB facility to support full-scale evaluations of water infrastructure decontamination, real-time sensors, mobile water treatment systems, and decontamination of premise plumbing and appliances.  The EPA research focused on decontamination of 1) Bacillus globigii (BG) spores, a non-pathogenic surrogate for Bacillus anthracis and 2) Bakken crude oil.  Flushing and chlorination effectively removed most BG spores from the bulk water but BG spores still remained on the pipe wall coupons. Soluble oil components of Bakken crude oil were removed by flushing although oil components persisted in the dishwasher and refrigerator water dispenser.  Using this full-scale distribution system allows EPA to 1) test contaminants without any human health or ecological risk and 2) inform water systems on effective methodologies responding to possible contamination incidents. \n\nThis dataset is associated with the following publication:\nSzabo, J., J. Hall, S. Reese, J. Goodrich, S. Panguluri, G. Meiners, and H. Ernst. Full Scale Drinking Water System Decontamination at the Water Security Test Bed.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA,  E535-E547, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390162",
      "keyword": [
        "Decontamination",
        "Drinking water distribution system",
        "Bacillus",
        "oil spill",
        "bacterial spores",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Jeffrey Szabo",
        "hasEmail": "mailto:szabo.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "INL data 12052014 ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390162/INL%20data%2012052014%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "INL September 2015 Oil Decon ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390162/INL%20September%202015%20Oil%20Decon%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "INL August 2016 oil - BG test ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390162/INL%20August%202016%20oil%20-%20BG%20test%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-17",
      "references": [
        "https://doi.org/10.5942/jawwa.2017.109.0141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerosol direct effects on ozone - China case study",
      "description": "Model output from the 2-way coupled WRF-CMAQ modeling system applied to China. This dataset is not publicly accessible because: EPA scientists helped with the model set-up and data analysis. The data was created by collaborators at Tsinghua University and is housed there. Since its not EPA generated data, the dataset is not included in ScienceHub. It can be accessed through the following means: The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). Format: The data analyzed in this study were created by collaborators at Tsinghua University, China. The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). \n\nThis dataset is associated with the following publication:\nXing, J., J. Wang, R. Mathur, S. Wang, G. Sarwar, J. Pleim, C. Hogrefe, Y. Zhang, J. Jiang, D. Wong, and J. Hao. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 9869-9883, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407541",
      "keyword": [
        "CMAQ",
        "air pollution",
        "aerosol direct radiative effects"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-06",
      "references": [
        "https://doi.org/10.5194/acp-17-9869-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data_files_Reyes_EHP_phthalates",
      "description": "The file contains three files in comma separated values (.csv) format. \r\n“Reyes_EHP_Phthalates_US_metabolites.csv” contains information about the National Health and Nutrition Examination Survey (NHANES) metabolite code names along with Tolerable Daily Intake (TDI), molecular weight of the parent phthalate, molecular weight of the metabolite, and names and abbreviations of the corresponding metabolites and phthalates. \r\n\r\n“Reyes_EHP_Phthalates_US_MCR.csv” contains the following information:\r\n•\tData on the surveyed individuals from the original NHANES data files that includes\r\n•\tIdentifying information for individual;\r\n•\tDemographic information used in defining the creatinine levels and in investigating sub populations based on age, gender, ethnicity;\r\n•\tConcentration of phthalate metabolites and creatinine in urine.\r\n•\tCalculated values for each individual;\r\n•\tDaily intake of each of the six phthalate;\r\n•\tHazard Quotients associated with each phthalate’s daily intake;\r\n•\tValues of Hazard Index and the Maximum Cumulative Ratio.       \r\n\r\n“Reyes_EHP_Phthalates_US_MCR_definitions.csv” and the definitions and units of the fields in “Reyes_EHP_Phthalates_US_MCR.csv”. \n\nThis dataset is associated with the following publication:\nReyes, J., and P. Price. An analysis of cumulative risks based on biomonitoring data for six phthalates using the Maximum Cumulative Ratio.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 112: 77-84, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407557",
      "keyword": [
        "urine concentrations",
        "calculated doses",
        "hazard quotients",
        "hazard indices",
        "Maximum Cumulative Ratios",
        "Phthalates",
        "cumulative risk assessment",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Paul Price",
        "hasEmail": "mailto:price.pauls@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_files_Reyes_EHP_phthalates.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407557/Data_files_Reyes_EHP_phthalates.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-15",
      "references": [
        "https://doi.org/10.1016/j.envint.2017.12.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Compilations of measured and calculated physicochemical property values for PCBs, PBDEs, PCDDs and PAHs",
      "description": "The dataset consists of compilations of measured and calculated physicochemical property values for PCBs, PBDEs, PCDDs and PAHs.  The properties included in this dataset are the octanol-water partition coefficient, melting point, vapor pressure and water solubility.  The measured property values were obtained from a critical review of the scientific literature.  The calculated values were obtained using the following applications: ACD/Percepta, ChemAxon Plugin Calculators, EPI Suite, NICEATM, Online Chemical Modeling Environment (OCHEM), OPERA, SPARC, and Toxicity Estimation Software Tool (T.E.S.T.). \n\nThis dataset is associated with the following publication:\nStevens, C., J. Patel, M. Koopmans, J. Olmstead, S. Hilal, N. Pope, E. Weber, and K. Wolfe. Demonstration of a consensus approach for the calculation of physicochemical properties required for environmental fate assessments.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 194: 94-106, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1412936",
      "keyword": [
        "PCBs",
        "PBDEs",
        "PCDDs",
        "PAHs",
        "Kow",
        "melting point",
        "vapor pressure",
        "water solubility",
        "physicochemical property",
        "qsar",
        "predictive models",
        "cheminformatics"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "PCBsPBDEsPCDDsPAHs_PhysChemProp_LitValues.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412936/PCBsPBDEsPCDDsPAHs_PhysChemProp_LitValues.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCBsPBDEsPCDDsPAHs_PhysChemProp_CalculatedValues.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412936/PCBsPBDEsPCDDsPAHs_PhysChemProp_CalculatedValues.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-13",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2017.11.137"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tools to Minimize Inter-Laboratory Variability in Vitellogenin Gene Expression Monitoring Programs",
      "description": "All data files are in excel format. Files with names CSU are different mesocosms qPCR data results for vitellogen gene and 18s a house keeping gene. Data files labelled ORD are qPCR data generated by NERL Cincinnati.  Those labeled R5 are qPCR data generated by EPA’s Region 5 lab and RMI_Mass are qPCR data generated by the University of Massachusetts Amherst. \n\nThis dataset is associated with the following publication:\nJastrow , A., D. Gordon , K. Auger, E. Punska, K. Arcaro, K. Keteles , D. Winkleman, D. Lattier , A. Biales , and J. Lazorchak. Tools to minimize interlaboratory variability in vitellogenin gene expression monitoring programs.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(11): 3102-3107, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1393387",
      "keyword": [
        "Same as science hub research effort",
        "real-time PCR",
        "fathead minnow",
        "bioassay",
        "estrogen",
        "wastewater",
        "inter-laboratory variability"
      ],
      "contactPoint": {
        "fn": "James Lazorchak",
        "hasEmail": "mailto:lazorchak.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Recalculation.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393387/Recalculation.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-09",
      "references": [
        "https://doi.org/10.1002/etc.3885"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zhao et al. (2017) Chem. Geol. v. 474 p.1",
      "description": "The dataset provides information on chromium concentrations extracted from rock samples collected at the Garfield SF site in New Jersey (USA). The data are discussed in Zhao et al. (2017). Chemical Geology, v. 474, p. 1-8. \n\nThis dataset is associated with the following publication:\nZhao, J., T. Al, S. Chapman, B. Parker, K. Mishkin, D. Cutt, and R. Wilkin. Determination of Cr(III) solids formed by reduction of Cr(VI) in a contaminated fractured bedrock aquifer: evidence for natural attenuation of Cr(VI).   CHEMICAL GEOLOGY. Elsevier Science Ltd, New York, NY, USA, 474: 1-8, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1409665",
      "keyword": [
        "groundwater",
        "chromium",
        "arsenic",
        "nickel",
        "iron sulfides",
        "uranium"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Zhao et al. (2017) Chem. Geol. v. 474 p. 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409665/Zhao%20et%20al.%20%282017%29%20Chem.%20Geol.%20v.%20474%20p.%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-21",
      "references": [
        "https://doi.org/10.1016/j.chemgeo.2017.10.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Deiodinase 1 Screening of ToxCast Phase 1 Chemical Library",
      "description": "This excel spreadsheet contains the resultant data for over from inhibition assays with human Deiodinase 1 screened against the ToxCast Phase 1 chemical library and a few additional chemicals.  Over 1800 chemicals were tested in total. It contains the list of chemicals tested and the median, minimum, and maximum inhibition for each chemical screened at 200 µM.  Chemicals that gave greater than 50% inhibition were screened in concentration response mode, and the median, min, max inhibition at each concentration for those chemicals are included.  Propylthiouracil was used in each plate as a positive control and the concentration-response data for those curves are also included. \n\nThis dataset is associated with the following publication:\nHornung, M., J. Korte, J. Olker, J. Denny, C. Knutsen, P. Hartig, M. Cardon, and S. Degitz. Screening the ToxCast Phase 1 chemical library for inhibition of deiodinase type 1 activity.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    162(2): 570-581, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1376911",
      "keyword": [
        "in vitro",
        "thyroid hormone",
        "Chemical Screening",
        "deiodinase"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "20170817_DIO1_Phase1_InHouse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376911/20170817_DIO1_Phase1_InHouse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-16",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx279"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Database of Historical Benthic Invertebrate Biodiversity Spanning 182 Years in Narragansett Bay (Rhode Island and Massachusetts)_Data_ v1",
      "description": "To examine biodiversity trends over time, a master list was compiled of all benthic invertebrate species collected from the Narragansett Bay beginning with Totten’s 1834 descriptions of mollusks, Leidy’s collections in 1855, Verrill and Smith’s surveys beginning in 1871, and studies at Alexander Agassiz’s Newport Marine Zoological Laboratory, 1873–1910. The list, spanning 182 years, was compiled from 104 sources and includes invertebrate macrofauna (>0.5 mm) and more limited studies of meiofauna. It currently holds over 1,200 unique taxa from 21 phyla. Information given for each collection record includes: current accepted scientific name, when and where sampled, by whom (with citation), gear used, and full taxonomic hierarchy. \n\nThis dataset is associated with the following publication:\nHale, S., M. Hughes, and H. Buffum. Historical Trends of Benthic Invertebrate Biodiversity Spanning 182 Years in a Southern New England Estuary.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 41(6): 1525–1538, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1429305",
      "keyword": [
        "Marine benthic invertebrates",
        "biodiversity",
        "Taxonomic distinctness",
        "Historical trends",
        "Narragansett Bay"
      ],
      "contactPoint": {
        "fn": "Stephen Hale",
        "hasEmail": "mailto:hale.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "HaleStephen_A-j3vh_Data_20180322.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1429305/HaleStephen_A-j3vh_Data_20180322.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-22",
      "references": [
        "https://doi.org/10.1007/s12237-018-0378-7",
        "https://pasteur.epa.gov/uploads/10.23719/1429305/documents/HaleStephen_A-j3vh__DataDescriptionReport_20180323.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Verification, validation, and field testing the USEPA National Stormwater Calculator",
      "description": "We used this dataset to verify and validate functions in the USEPA National Stormwater Calculator, and then applied field data and commonly-available datasets to illustrate calibration techniques and uncertainty evaluation. \n\nThis dataset is associated with the following publication:\nSchifman, L., M. Tryby, J. Berner, and W. Shuster. Managing Uncertainty in Runoff Estimation with the U.S. Environmental Protection Agency National Stormwater Calculator..   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 54(1): 148-159, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1394115",
      "keyword": [
        "infiltration",
        "stormwater management",
        "urban hydrology",
        "Green Infrastructure",
        "low impact development",
        "Urban Planning"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Schifman_NSWC_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394115/Schifman_NSWC_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-05",
      "references": [
        "https://doi.org/10.1111/1752-1688.12599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Foy Lake paleodiatom data",
      "description": "Percent abundance of 109 diatom species collected from a Foy Lake (Montana, USA) sediment core that was sampled every ∼5–20 years, yielding a ∼7 kyr record over 800 time-steps. \n\nThis dataset is associated with the following publication:\nAngeler, D., T. Eason, A. Garmestani, T. Spanbauer, and C. Allen. Assessing cross-scale patterns and the composition of ecological communities of alternative lake regimes.   PLoS ONE. Public Library of Science, San Francisco, CA, USA,  01, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1396045",
      "keyword": [
        "Foy Lake",
        "Montana",
        "diatoms",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "Foy Lake (Paleodiatom data).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396045/Foy%20Lake%20%28Paleodiatom%20data%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-06-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Figures and Tables in \"Impacts of Different Characterizations of Large-Scale Background on Simulated Regional-Scale Ozone Over the Continental U.S.\"",
      "description": "This dataset contains the data used in the Figures and Tables of the manuscript \"Impacts of Different Characterizations of Large-Scale Background on Simulated Regional-Scale Ozone Over the Continental U.S.\". \n\nThis dataset is associated with the following publication:\nHogrefe, C., P. Liu, G. Pouliot, R. Mathur, S. Roselle, J. Flemming, M. Lin, and R. Park. Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 3839-3864, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1418975",
      "keyword": [
        "Air Quality Model Evaluation International Initiative (AQMEII)",
        "boundary conditions",
        "process analysis",
        "column ozone burdens"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeEtAl_Data_Figures_Tables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418975/HogrefeEtAl_Data_Figures_Tables.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-19",
      "references": [
        "https://doi.org/10.5194/acp-18-3839-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1418975/documents/DataDictionary_HogrefeEtAl_A-dr86.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "raw data collected from Malvern Instrument",
      "description": "These are raw data/image files from the Malvern Zetasizer Instrument. \n\nThis dataset is associated with the following publication:\nBuse, H., J. Hoelle, C. Muhlen, and D. Lytle. Electrophoretic mobility of Legionella pneumophila serogroups 1 to 14.   FEMS MICROBIOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA,  1, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1419478",
      "keyword": [
        "opportunistic pathogen",
        "Legionella pneumophila",
        "biofilm colonization",
        "drinking water",
        "surface charge"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "sg1 pH effect on EPM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419478/sg1%20pH%20effect%20on%20EPM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sg4 pH effect on EPM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419478/sg4%20pH%20effect%20on%20EPM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419478/EPM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-05",
      "references": [
        "https://doi.org/10.1093/femsle/fny067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Photocatalytic C-H Activation and Oxidative Esterification Using Pd@g-C3N4",
      "description": "Graphitic carbon nitride supported palladium nanoparticles, Pd@g-C3N4, have been synthesized and utilized for the direct oxidative esterification of alcohols using atmospheric oxygen as a co-oxidant via photocatalytic C-H activation. \n\nThis dataset is associated with the following publication:\nVerma, S., R.B.N. Baig, R. Varma, and M. Nadagouda. Photocatalytic CH activation and oxidative esterification using Pd@g-C3N4.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 309: 248-252, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1389547",
      "keyword": [
        "C-H Activation",
        "Heterogeneous catalysis",
        "Oxidative esterification",
        "Alcohols",
        "Visible light"
      ],
      "contactPoint": {
        "fn": "Rajender Varma",
        "hasEmail": "mailto:varma.rajender@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0920586117304480?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0920586117304480?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-13",
      "references": [
        "https://doi.org/10.1016/j.cattod.2017.06.009",
        "https://pasteur.epa.gov/uploads/10.23719/1389547/documents/CATTOD-D-17-00099_Supporting%20Information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Revised risk-based indices and proposed new composite watershed health measure and application thereof to the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River Basin  ",
      "description": "The dataset includes names and geographic coordinates of gauge stations where flow and water quality (sediment, nitrogen, phosphorus) are measured in the Upper Mississippi River Watershed, Ohio River Basin, and Maumee River Basins. The data include estimates of risk indices (reliability, resilience, vulnerability) and a composite watershed health measure at gauge the stations, distributional properties of the indices, sensitivity to water quality standards, scale dependency of the indices, and statistical significance of the relationship between composite watershed health measure and land uses (agricultural, forested, and urban). \n\nThis dataset is associated with the following publication:\nGaneshchandra Mallya  , G., M. Hantush, and R. Govindaraju. Composite measures of watershed health from a water quality perspective.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 214: 104-124, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1405326",
      "keyword": [
        "Reliability",
        "Resiliance",
        "Vulnerability",
        "Composite Watershed Health",
        "water quality",
        "scaling",
        "sediment",
        "nitrogen",
        "phosphorus",
        "Upper Mississippi River Watershed",
        "Ohio River Basin",
        "Maummee River Basin",
        "Risk Assessment",
        "Water Quality Standard",
        "stream order",
        "resilience",
        "watershed health water quality",
        "stream networks",
        "Trend analysis"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1405326/EPA_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-24",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.02.049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Construction and Demolition Debris 2014 US Final Disposition Estimates Using the CDDPath Method",
      "description": "Estimates of the final amount and final disposition of materials generated in the Construction and Demolition waste stream measured in total mass of each material. Traditional C&D materials included are concrete, asphalt pavement, asphalt shingles, bricks and clay, metal, wood, and gypsum drywall. Non-traditional materials in this stream include cardboard, organics, carpet, glass, plastic, and fines. The estimates are based on generation amounts described in the EPA SMM Facts and Figures reports. The method used to estimate final disposition is called CDDpath. This dataset is associated with the following publication:\nTownsend, T., W. Ingwersen, B. Niblick, P. Jain, and J. Wally. CDDPath: A method for quantifying the loss and recovery of construction and demolition debris in the United States.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 84: 302-309, (2019). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1431308",
      "keyword": [
        "Concrete",
        "asphalt pavement",
        "Wood",
        "bricks",
        "carpet",
        "asphalt shingles",
        "mixed C&D MRF",
        "metal",
        "drywall",
        "Sustainable materials management",
        "construction and demolition debris",
        "life cycle assessment",
        "end-of-life management"
      ],
      "contactPoint": {
        "fn": "Briana Niblick",
        "hasEmail": "mailto:niblick.briana@epa.gov"
      },
      "distribution": [],
      "modified": "2018-04-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Alderisio_Meri_vs_ES_MS_vs_MSD",
      "description": "Stain Comparison Meri vs. ES. \n\nThis dataset is associated with the following publication:\nAlderiswio, K., L. Villegas, M. Ware, L. McDonald, L. Xiao, and E. Villegas. Differences in staining intensities affect reported occurrences and concentrations of Giardia spp. in surface drinking water sources.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 123(6): 1607-1613, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1393896",
      "keyword": [
        "drinking water",
        "protozoa",
        "water quality",
        "Environmental/recreational water",
        "detection",
        "drinking water sources",
        "giardia spp",
        "occurrences and concentrations",
        "staining intensitities"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Alderisio-Meri_vs_ES_MS_vs_MSD-Scibhub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393896/Alderisio-Meri_vs_ES_MS_vs_MSD-Scibhub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0017-06-28",
      "references": [
        "https://doi.org/10.1111/jam.13585"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trends Between Modeled DeFacto Reuse and Analyzed Grab Samples for Contaminants of Emerging Concern at Water Treatment Plants in The USA",
      "description": "This dataset compared the de facto reuse percentage modeled for the 22 surface water sites sampled in Phase II of the drinking water project and the organic chemical data generated as part of the project. \n\nThis dataset is associated with the following publication:\nNguyen , T., P. Westerhoff , E. Furlong, D. Kolpin, A. Batt, H. Mash, K. Schenck, J.S. Boone, J. Rice, and S. Glassmeyer. Modeled De Facto Reuse and Contaminants of Emerging Concern in Drinking Water Source Waters.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(4): E2-E18, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407663",
      "keyword": [
        "DRINCS",
        "de facto reuse",
        "stream order",
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Phase II data DRINCS figures and tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407663/Phase%20II%20data%20DRINCS%20figures%20and%20tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407663/Data%20dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-09",
      "references": [
        "https://doi.org/10.1002/awwa.1052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Photochemical Conversion of Surrogate Emissions for Use in Toxicological Studies:   Role of Particulate- and Gas-Phase Products",
      "description": "The production of photochemical atmospheres under controlled conditions in an irradiation chamber permits the manipulation of parameters that influence the resulting air pollutant chemistry and potential biological effects.  To date no studies have examined how contrasting atmospheres with a similar Air Quality Health Index (AQHI), but with differing ratios of criteria air pollutants, might differentially affect health endpoints.  Here we produced two atmospheres with similar AQHIs based on the final concentrations of ozone, nitrogen dioxide, and particulate matter (PM2.5).  One simulated atmosphere (SA-PM) generated from irradiation of ~23 ppmC gasoline, ~5 ppmC of α-pinene, 529 ppb NO, and 3 µg m-3 (NH4)2SO4 as a seed resulted in ~976 µg m-3 PM2.5, 326 ppb NO2, and 141 ppb O3 (AQHI 97.7).  The other atmosphere (SA-O3) generated from ~8 ppmC gasoline, 5 ppmC isoprene, 874 ppb NO, 2 µg m-3 (NH4)2SO4 resulted in ~55 µg m-3 PM2.5, 643 ppb NO2, and 430 ppb O3 (AQHI of 99.8).  Chemical speciation by gas chromatography showed that photo-oxidation degraded the organic precursors and promoted the de novo formation of secondary reaction products such as formaldehyde and acrolein.  Further work in accompanying papers describe toxicological outcomes from the two distinct photochemical atmospheres. \n\nThis dataset is associated with the following publication:\nKrug, J., M. Lewandowski, J. Offenberg, J. Turlington, W. Lonneman, N. Modak, T. Krantz, C. King, S. Gavett, I. Gilmour, D. DeMarini, and T. Kleindienst. Photochemical Conversion of Surrogate Emissions for Use in Toxicological Studies: Role of Particulate- and Gas-Phase Products.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 52(5): 3037-3044, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407610",
      "keyword": [
        "Smog chamber",
        "gasoline surrogate emissions",
        "air pollution",
        "health effects",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Krug_MRC_Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407610/Krug_MRC_Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Krug_MRC_Figure 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407610/Krug_MRC_Figure%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-24",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04879"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from modeling",
      "description": "Simulation output from CMAQ runs for Uinta Basin. \n\nThis dataset is associated with the following publication:\nMatichuk, R., G. Tonnesen, D. Luecken, R. Gilliam, S. Napelenok, K. Baker, D. Schwede, B. Murphy, D. Helmig, S. Lyman, and S. Roselle. Evaluation of the Community Multiscale Air Quality Model for Simulating Winter Ozone Formation in the Uinta Basin..   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 122(24): 13545-13572, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407533",
      "keyword": [
        "CMAQ",
        "Ozone",
        "winter",
        "UBWOS"
      ],
      "contactPoint": {
        "fn": "Deborah Luecken",
        "hasEmail": "mailto:luecken.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "2017JD027057-F03.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F03.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pcaps4_2_iter3.GROUP_AVG.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/pcaps4_2_iter3.GROUP_AVG.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F04.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F04.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F05.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F05.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F06.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F06.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F08.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F08.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F09.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F09.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F10.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F10.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F11.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F11.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F12.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F12.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F13.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F13.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017JD027057-F14.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/2017JD027057-F14.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_in_ncs_for_Fig1_Fig15_FigS7-S14.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/Data_in_ncs_for_Fig1_Fig15_FigS7-S14.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "met.figs.ubos.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407533/met.figs.ubos.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1002/2017jd027057"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wastewater viral community",
      "description": "The dataset contains the information used to generate the figures in the manuscript. The data describes the viral loss measured at all steps of sample processing, culminating in a description of the viral community in a wastewater sample. \n\nThis dataset is associated with the following publication:\nBrinkman , N., E. Villegas , J. Garland , and S. Keely. Reducing inherent biases introduced during DNA viral metagenome analyses of municipal wastewater.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(4): e0195350, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1422367",
      "keyword": [
        "wastewater",
        "Bacteriophage",
        "viral metagenomics"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "BrinkmanNichole_A-qfvf_dataset_20180223.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422367/BrinkmanNichole_A-qfvf_dataset_20180223.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-23",
      "references": [
        "https://doi.org/10.1371/journal.pone.0195350"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "model calibration",
      "description": "The East Fork data and the methods used to calibrated the model are detailed in the attached previously published EPA report ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1433513",
      "keyword": [
        "best management practices",
        "Total maximum daily load",
        "ArcHydro",
        "probabilistit risk assessment"
      ],
      "contactPoint": {
        "fn": "Herbert Fredrickson",
        "hasEmail": "mailto:fredrickson.herbert@epa.gov"
      },
      "distribution": [
        {
          "title": "Yeghiazarian etal-2013-EPA600-R13.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433513/Yeghiazarian%20etal-2013-EPA600-R13.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-05-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aaron Journal article datasets",
      "description": "All figures used in the journal article are in netCDF format. \n\nThis dataset is associated with the following publication:\nSims, A., K. Alapaty , and S. Raman. Sensitivities of Summertime Mesoscale Circulations in the Coastal Carolinas to Modifications of the Kain–Fritsch Cumulus Parameterization.   Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 145(11): 4381-4399, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1420061",
      "keyword": [
        "weather prediction",
        "precipitation cloud life cloud cover",
        "deep convection"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://climate.ncsu.edu/files/pubs/MWR-D-16-0047.1/",
          "accessURL": "https://climate.ncsu.edu/files/pubs/MWR-D-16-0047.1/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-05",
      "references": [
        "https://doi.org/10.1175/mwr-d-16-0047.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exploring Synergies between transit investment and dense redevelopment: A scenario analysis in a rapdily developing urban landscape",
      "description": "This dataset is a journal article that describes the use of a system dynamics model to explore the synergies between transit and development strategies as they give rise to outcomes of community concern: environmental impacts, economic development and equity. The dataset includes the publication itself, the publication figures, the input and calibration data, the data dictionary and the model output data for the base scenarios. \n\nThis dataset is associated with the following publication:\nCox, L., A. Bassi, J. Kolling, A. Procter, N. Flanders, N. Tanners, and R. Araujo. Exploring synergies between transit investment and dense redevelopment: A scenario analysis in a rapidly urbanizing landscape.   LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 167: 429-440, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407615",
      "keyword": [
        "compact development",
        "equity",
        "integrated approaches",
        "sustainability",
        "light rail"
      ],
      "contactPoint": {
        "fn": "Rochelle Araujo",
        "hasEmail": "mailto:araujo.rochelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Cox_et_al_2017_Exploring synergies between transit.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/Cox_et_al_2017_Exploring%20synergies%20between%20transit.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cox_Figures for Land Use Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/Cox_Figures%20for%20Land%20Use%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cox_Land Use Paper RedevelopmentTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/Cox_Land%20Use%20Paper%20RedevelopmentTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "D-O LRP Model_Base Scenario Outputs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/D-O%20LRP%20Model_Base%20Scenario%20Outputs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "D-O LRP SD Model Documentation Appendix B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/D-O%20LRP%20SD%20Model%20Documentation%20Appendix%20B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Historical and Projected Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407615/Historical%20and%20Projected%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-23",
      "references": [
        "https://doi.org/10.1016/j.landurbplan.2017.07.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Consumer Product Chemical Weight Fractions from Ingredient Lists ",
      "description": "Data and model predictions supporting the manuscript: Isaacs K.K., Phillips K.A., Biryol D., Dionisio K.L., and Price P. Consumer product chemical weight fractions from ingredient lists. Journal of Exposure Science and Environmental Epidemiology (in press as of 8/2017). \n\nThis dataset is associated with the following publication:\nIsaacs, K., K. Phillips, D. Biryol, K. Dionisio, and P. Price. Consumer product chemical weight fractions from ingredient lists.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28: 216-222, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374397",
      "keyword": [
        "consumer products",
        "Exposure modeling",
        "Chemical Safety for Sustainability",
        "ingredients"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "All_Datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374397/All_Datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-19",
      "references": [
        "https://doi.org/10.1038/jes.2017.29"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374397/documents/DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Antiandrogenic effects of prochloraz in Xenopus laevis_data_Haselman et al_version_0_20171122",
      "description": "These data are represented in the tables and graphs in the journal article, Antiandrogenic effects following multiple life stage exposure to the fungicide prochloraz in Xenopus laevis by JT Haselman et al. \n\nThis dataset is associated with the following publication:\nHaselman, J., P. Kosian, J. Korte, A. Olmstead, and S. Degitz. Effects of multiple life stage exposure to the fungicide prochloraz in Xenopus laevis: Manifestations of antiandrogenic and other modes of  toxicity.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 199: 240-251, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1409830",
      "keyword": [
        "Prochloraz",
        "endocrine disruption",
        "EDSP",
        "Xenopus laevis",
        "LAGDA"
      ],
      "contactPoint": {
        "fn": "Jonathan Haselman",
        "hasEmail": "mailto:haselman.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Haselman_et_al_Prochloraz_data_A63z2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409830/Haselman_et_al_Prochloraz_data_A63z2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-22",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2018.03.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Boquerón Beach, PR immunoprevalence study",
      "description": "The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) readings for the Boquerón Beach, Puerto Rico saliva samples collected on Day 1 of the study and used to assess immunoprevalence of the beachgoers to the pathogens in the multiplex immunoassay. \n\nThis dataset is associated with the following publication:\nAugustine, S., K. Simmons, T. Eason, C. Curioso, S. Griffin, T. Wade, A. Dufour, S. Fout, A. Grimm, K. Oshima, E. Sams, M. See, and L. Wymer. Immunoprevalence to Six Waterborne Pathogens in Beachgoers at Boquerón Beach, Puerto Rico: Application of a Microsphere-Based Salivary Antibody Multiplex Immunoassay.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 5(84): 1-11, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390125",
      "keyword": [
        "Puerto Rico",
        "Boqueron Beach",
        "Multiplex",
        "immunoassay",
        "salivary antibody",
        "saliva",
        "exposure",
        "bead-based multiplexing",
        "carboxylated microspheres",
        "bead coupling",
        "coupling confirmation"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "Boqueron data (Augustine et al. 2017-Frontiers).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390125/Boqueron%20data%20%28Augustine%20et%20al.%202017-Frontiers%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-19",
      "references": [
        "https://doi.org/10.3389/fpubh.2017.00084"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The potential role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future",
      "description": "This dataset represents the data underlying the figures presented in the manuscript \"The potential role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future.\" The manuscript itself is a parametric analysis examining this technology under various technological and contextual assumptions. \n\nThis dataset is associated with the following publication:\nBabaee, S., and D. Loughlin. Exploring the role of natural gas power plants with carbon capture and storage as a bridge to a low-carbon future.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 20(2): 379-391, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1371942",
      "keyword": [
        "natural gas",
        "renewable electricity",
        "mitigation options",
        "Energy systems modeling",
        "MARKAL",
        "nested sensitivity analysis",
        "electricity generation",
        "coal",
        "emission projections",
        "scenario analysis",
        "air quality",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "figure_data_NGCC_CCS_v1_07202017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371942/figure_data_NGCC_CCS_v1_07202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-31",
      "references": [
        "https://doi.org/10.1007/s10098-017-1479-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ENANTIOMER-SPECIFIC MEASUREMENTS OF CURRENT-USE PESTICIDES IN AQUATIC SYSTEMS",
      "description": "These data are provided in six data tables. Each data table corresponds to a set of samples obtained from a different organization in California that were analyzed for this study. Metadata is presented as table captions, column headers and/or row information for each set of samples. The metadata for each sample set/table varies but includes some combination of the following: organization providing the samples; units of measure (as appropriate); fipronil enantiomer fraction (EF), bifenthrin EF, cis-permethrin EF; racemic standard EFs for fipronil, bifenthrin, and cis-permethrin analyzed with each set of samples [these data were measured for the study]; sample description including location collected, type of sample, date of sample collection, fipronil, bifenthrin, and cis-permethrin concentrations; pavement treatment information including compounds used for concrete treatment, formulation applied to concrete, number of days since treatment; fish and fish treatment information including dose, number of days since dose, fish mortality status, fish length and weight; percent survival in toxicity tests. Additionally, some data analysis information is provided that indicates whether the EF measured in a given sample is not measured, the compound was not detected, racemic or non-racemic. \n\nThis dataset is associated with the following publication:\nUlrich , E., P. TenBrook , L. McMillan, O. Wang, and W. Lao. Enantiomer‐specific measurements of current‐use pesticides in aquatic systems.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(1): 99-106, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374566",
      "keyword": [
        "Chiral current-use pesticide",
        "Enantiomer fraction (EF)",
        "aquatic systems",
        "racemic"
      ],
      "contactPoint": {
        "fn": "Elin Ulrich",
        "hasEmail": "mailto:ulrich.elin@epa.gov"
      },
      "distribution": [
        {
          "title": "ET&C Suppl Info Enantiomer measurements of pesticides in aquatic systems revised.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374566/ET%26C%20Suppl%20Info%20Enantiomer%20measurements%20of%20pesticides%20in%20aquatic%20systems%20revised.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://setac.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fetc.3938&file=etc3938-sup-0001-SuppData-S1.docx",
          "accessURL": "https://setac.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fetc.3938&file=etc3938-sup-0001-SuppData-S1.docx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-21",
      "references": [
        "https://doi.org/10.1002/etc.3938"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analysis of emission reduction strategies for power boilers in the US pulp and paper industry",
      "description": "This paper first presents the background information for UISIS-PNP model by discussing different types of boilers installed throughout the pulp and paper sector, the air emissions from these boilers, and the menu of air pollution control technologies applicable to the boilers. The paper then presents examples of air pollution reduction strategies, followed by an analysis of the benefits of emission reduction strategies. These examples are given to illustrate modeling capabilities of the UISIS-PNP model and should not be construed as actual emission reduction strategy considerations by EPA. \n\nThis dataset is associated with the following publication:\nBhander , G., and W. Jozewicz. Analysis of Emissions Reduction Strategies for Power Boilers in the U.S. Pulp and Paper Industry..   Energy and Emission Control Technologies. Dove Medical Press, AUCKLAND,  NEW ZEALAND, 2017(5): 27-37, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1392998",
      "keyword": [
        "Power boilers",
        "pulp and paper production",
        "emission sources",
        "fuel consumption",
        "mitigation options",
        "fuel exchange",
        "emissions controls technologies",
        "emissions reduction"
      ],
      "contactPoint": {
        "fn": "Gurbakhash Bhander",
        "hasEmail": "mailto:bhander.gurbakhash@epa.gov"
      },
      "distribution": [
        {
          "title": "PnP Sector Boilers Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1392998/PnP%20Sector%20Boilers%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-04-21",
      "references": [
        "https://doi.org/10.2147/eect.s139648",
        "https://pasteur.epa.gov/uploads/10.23719/1392998/documents/PNP%20BOILERS%20PAPER.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code files for co-occurrence modeling project",
      "description": "Files included are original data inputs on stream fishes (fish_data_OEPA_2012.csv), water chemistry (OEPA_WATER_2012.csv), geographic data (NHD_Plus_StreamCat); modeling files for generating predictions from the original data, including the R code (MVP_R_Final.txt) and Stan code (MV_Probit_Stan_Final.txt); and the model output file containing predictions for all NHDPlus catchments in the East Fork Little Miami River watershed (MVP_EFLMR_cooc_Final). \n\nThis dataset is associated with the following publication:\nMartin, R., E. Waits, and C. Nietch. Empirically-based modeling and mapping to consider the co-occurrence of ecological receptors and stressors.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 613(614): 1228-1239, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407576",
      "keyword": [
        "R code",
        "Stan code",
        "East Fork Little Miami River watershed data",
        "Water chemistry bioassessment data",
        "Fish community bioassessment data",
        "Co-occurrence model",
        "Co-occurrence model predictions",
        "co-occurrence models",
        "Bayesian statistics",
        "ecological risk mapping",
        "ecological exposure assessment"
      ],
      "contactPoint": {
        "fn": "Roy Martin",
        "hasEmail": "mailto:martin.roy@epa.gov"
      },
      "distribution": [
        {
          "title": "fish_data_OEPA_2012.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/fish_data_OEPA_2012.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OEPA_WATER_2012.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/OEPA_WATER_2012.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHD_Plus_StreamCat.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/NHD_Plus_StreamCat.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MVP_R_Final.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/MVP_R_Final.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MV_Probit_Stan_Final.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/MV_Probit_Stan_Final.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MVP_EFLMR_cooc_Final.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/MVP_EFLMR_cooc_Final.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.08.301"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407576/documents/EFLMR_cooc_data_dictionary_Final.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Temperature and driving cycle influence SVOC emissions from (bio-) diesel trucks",
      "description": "The present study examines the effects of fuel (an ultra-low sulfur diesel [ULSD] versus a 20% v/v soy-based biodiesel—80% v/v petroleum blend [B20]), temperature, load, vehicle, driving cycle, and active regeneration technology on gas- and particle-phase carbon emissions from light and medium heavy-duty diesel vehicles (L/MHDDV). The study is performed using chassis dynamometer facilities that support low temperature operation (-6.7 °C versus 21.7 °C) and heavy loads up to 12,000 kg. Organic and elemental carbon (OC-EC) composition of aerosol particles is determined using a thermal-optical technique. Gas- and particle-phase semivolatile organic compound (SVOC) emissions collected using traditional filter and polyurethane foam (PUF) sampling media are analyzed using advanced gas chromatograpy/mass spectrometry (GC/MS) methods. \n\nThis dataset is associated with the following publication:\nHays, M., W. Preston, B. George, I. George, R. Snow, J. Faircloth, T. Long, R. Baldauf, and J. McDonald. Temperature and driving cycle significantly affect semi-volatile organic compound emissions from diesel trucks.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 31(10): 11034-11042, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1377043",
      "keyword": [
        "PM",
        "organic aerosol",
        "Semivolatile Organic Compounds (SVOCs)",
        "biodiesel",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "biomass burning",
        "Combustion Emissions",
        "polycyclic aromatic hydrocarbons"
      ],
      "contactPoint": {
        "fn": "Michael Hays",
        "hasEmail": "mailto:hays.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377043/Figure%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-16",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.7b01446"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emissions characterization from a variety of coals on a pilot-scale facility_v1",
      "description": "The current study not only characterizes emissions from three coals (bituminous, sub-bituminous, and lignite), but also investigates the use of instrumentation for improved measurement and monitoring techniques that provide real-time, continuous emissions data.  Testing was completed using the U.S. EPA’s Multi-Pollutant Control Research Facility, a pilot-scale coal-fired combustor using industry-standard emission control technologies, in Research Triangle Park, North Carolina.  Emissions were calculated based on measurements from the flue gas (pre- and post-electrostatic precipitator), to characterize gaseous species (CO, CO2, O2, NOX, SO2, other acid gases, and several organic HAPs) as well as fine and ultrafine particulate (mass, size distribution, number count, elemental carbon, organic carbon, and black carbon).  Comparisons of traditional EPA methods to those made via Fourier Transfer Infrared (FTIR) Spectroscopy for CO, NOX, and SO2 are also reported. \n\nThis dataset is associated with the following publication:\nYelverton, T., A. Brashear, D. Nash, E. Brown, C. Singer, P. Kariher, and J. Ryan. Comparison of gaseous and particulate emissions from a pilot-scale combustor using three varieties of coal.   FUEL. Elsevier Science BV, Amsterdam,  NETHERLANDS, 215: 572-579, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1371562",
      "keyword": [
        "measurement comparison",
        "coal combustion",
        "biomass",
        "emissions characterization",
        "air qualtiy"
      ],
      "contactPoint": {
        "fn": "Tiffany Yelverton",
        "hasEmail": "mailto:yelverton.tiffany@epa.gov"
      },
      "distribution": [
        {
          "title": "SH-Fuel 2017 data tables with data dictionary_published.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371562/SH-Fuel%202017%20data%20tables%20with%20data%20dictionary_published.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-30",
      "references": [
        "https://doi.org/10.1016/j.fuel.2017.10.092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Whiting, Indiana Refinery Canister and Tube VOC Sampling",
      "description": "VOC canister and tube data from Whiting, Indiana. \n\nThis dataset is associated with the following publication:\nMukerjee, S., L. Smith, M. Caudill, K. Oliver, W. Whipple, D. Whitaker, and T. Cousett. Application of passive sorbent tube and canister samplers for volatile organic compounds at refinery fenceline locations in Whiting, Indiana.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 68(2): 170-175, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1413474",
      "keyword": [
        "Fenceline Monitoring",
        "Passive Sampling",
        "benzene",
        "epa method 325",
        "refinery",
        "volatile organic compound"
      ],
      "contactPoint": {
        "fn": "Shaibal Mukerjee",
        "hasEmail": "mailto:mukerjee.shaibal@epa.gov"
      },
      "distribution": [
        {
          "title": "CAN_CRL all dups.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413474/CAN_CRL%20all%20dups.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Whiting IN benzene & toluene method comparison_Motria_direct.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413474/Whiting%20IN%20benzene%20%26%20toluene%20method%20comparison_Motria_direct.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CRL vs ORD all Perc and styrene_with_DLs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413474/CRL%20vs%20ORD%20all%20Perc%20and%20styrene_with_DLs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Whiting_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413474/Whiting_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-23",
      "references": [
        "https://doi.org/10.1080/10962247.2017.1400480"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phytoplankton and cyanobacteria",
      "description": "Phytoplankton and cyanobacteria. \n\nThis dataset is associated with the following publication:\nChen, K., J. Lu, and J. Allen. 12   Community structures of phytoplankton with emphasis of toxic cyanobacteria in an Ohio inland lake during bloom season.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 9(11): 1-29, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407678",
      "keyword": [
        "bloom",
        "lake",
        "phytoplankton",
        "toxic cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Phytoplankton-Cyanobacteria.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407678/Phytoplankton-Cyanobacteria.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-20",
      "references": [
        "https://doi.org/10.4236/jwarp.2017.911083"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Storage Tank Legionella and Community",
      "description": "Storage Tank Legionella and Community. \n\nThis dataset is associated with the following publication:\nQin, K., I. Struewing, J. Santodomingo, D. Lytle, and J. Lu. Opportunistic Pathogens and Microbial Communities and their Associations with Sediment Physical Parameters in Drinking Water Storage Tank Sediments.   PATHOGENS. MDPI AG, Basel,  SWITZERLAND, 6(54): 1-28, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407686",
      "keyword": [
        "corrosion",
        "legionella",
        "microbial community",
        "mineral",
        "opportunistic pathogen",
        "storage tank sediment"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Sediment datasheet 072517.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407686/Sediment%20datasheet%20072517.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-10",
      "references": [
        "https://doi.org/10.3390/pathogens6040054"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of spray disinfectant products advertised to contain colloidal silver",
      "description": "Included in dataset. \n\nThis dataset is associated with the following publication:\nRogers, K., J. Navratilova, A. Stefaniak, L. Bowers, A. Knepp, S. Al-Abed, P. Potter, A. Gitipour, I. Radwan, C. Nelson, and K. Bradham. Characterization of engineered nanoparticles in commercially available spray disinfectant products advertised to contain colloidal silver.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 619620: 1375-1384, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407603",
      "keyword": [
        "characterization",
        "collodial silver",
        "Human Exposure",
        "nanosilver"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "Rogers et al 2017 Science Hub Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407603/Rogers%20et%20al%202017%20Science%20Hub%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.11.195"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolomic profiling of Green Frogs exposed to Mixed Pesticides",
      "description": "GC/MS data from the metabolomic profiling of green frog livers after exposure to pesticides and their mixtures. \n\nThis dataset is associated with the following publication:\nVan Meter, R., D. Glinski, T. Purucker, and M. Henderson. Influence of exposure to pesticide mixtures on the metabolomic profile in post-metamorphic green frogs (Lithobates clamitans).   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 624: 1348-1359, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1420400",
      "keyword": [
        "amphibian",
        "pesticide",
        "bioconcentration",
        "biomarkers"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "RJV_Mix Pestcides_GF_for_metaboanalyst.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420400/RJV_Mix%20Pestcides_GF_for_metaboanalyst.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RJV_herbicides_GF_for_metaboanalyst.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420400/RJV_herbicides_GF_for_metaboanalyst.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.12.175"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1420400/documents/Henderson_A-tqkg_SDMP_20180214.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "2018_extent_CI_data",
      "description": "Full resolution (300m), weekly MERIS data were obtained over the contiguous United States for 2008 through 2011. Seven day composite images were created by retaining the maximum value detected for each pixel within the time period and then the monthly mean of the maximums was calculated. A spatial mosaic composed of 54 individual scenes was generated for each week resulting in a total of 208 CONUS images from 2008 to 2011. Weekly OLCI data were also retrieved from January 2017 through December 2017. MERIS and OLCI data were processed by the NASA OBPG, using the SeaWiFS Data Analysis System, SRTM static land mask, and a transformation to Albers Equal Area with an area-weighted interpolation to match the projections of the National Hydrography Dataset High Resolution. The SRTM land mask and SeaDAS processing is static in relation to waterbody size and did not account for periods of drought nor flood during the study period. Any water pixel adjacent to the SRTM static land mask was automatically flagged and excluded from analysis to reduce potential for mixed land-water pixels and land adjacency effects. To avoid pixel misclassification due to artifacts such as bridges, catchment facilities, and islands, “valid” water pixels were determined by examining the ESRI World Imagery Basemap. This manual operator pixel selection process lowered the potential that land pixels were not misclassified as water or vice versa.\nEach 300m satellite pixel in a weekly CONUS map represents a provisional maximum Cyanobacteria Index (CI) value retrieved in the specific time period. The provisional CI was calculated using a spectral shape (SS) algorithm detailed and validated elsewhere. \n\nConventional methods to distinguish between ice and water often fail due to high ice reflectance as well as the possibility of cyanobacterial biomass formation under the ice. Therefore, weekly MERIS data were masked for the presence of ice and snow using Interative Multisensor Snow and Ice Mapping System (IMS) Northern Hemisphere Snow and Ice Analysis data (Version 1, 4km). Daily snow and ice data were obtained from the National Snow and Ice Data Center then cropped to the extent of CONUS. Snow and ice data were temporally binned into maximum weekly time composites to match the MERIS data and then converted from raster to shapefile format. If MERIS or OLCI CI values were within the spatial area of the snow and ice mask, they were removed from further analysis. This dataset is associated with the following publication:\nUrquhart, E., and B. Schaeffer. Envisat MERIS and Sentinel-3 OLCI satellite lake biophysical water quality flag dataset for the contiguous United States.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 28: 104826, (2020). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1423890",
      "keyword": [
        "harmful algal bloom",
        "cyanobacteria",
        "lakes",
        "ecology",
        "satellite",
        "remote sensing",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2018-03-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Guiyang_PM2.5_speciation_data_DOI_10.1007/s11631-017-0248-1",
      "description": "ED-XRF inorganic speciation of PM2.5 in Guiyang, China. \n\nThis dataset is associated with the following publication:\nLiang, L., N. Liu, M. Landis, X. Xu, X. Feng, Z. Chen, L. Shang, and G. Qiu. Chemical characterization and sources of PM2.5 at 12-h resolution in Guiyang, China.   Acta Geochimica. Springer, Heidelburg,  GERMANY, 37(2): 334-345, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1419639",
      "keyword": [
        "Trace elements",
        "pm2.5",
        "source apportionment"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_all_set for AGC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419639/Data_all_set%20for%20AGC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-17",
      "references": [
        "https://doi.org/10.1007/s11631-017-0248-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms",
      "description": "Influence of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms. \n\nThis dataset is associated with the following publication:\nOlson, L., J. Misenheimer, C. Nelson, K. Bradham, and C. Richardson. Influences of Coal Ash Leachates and Emergent Macrophytes on Water Quality in Wetland Microcosms.   WATER, AIR AND SOIL POLLUTION:FOCUS. Springer, New York, NY, USA, 228: 344, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407677",
      "keyword": [
        "coal combustion residues",
        "fly ash",
        "phytoremediation",
        "wetland"
      ],
      "contactPoint": {
        "fn": "Clay Nelson",
        "hasEmail": "mailto:nelson.clay@epa.gov"
      },
      "distribution": [
        {
          "title": "ESM_1_final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407677/ESM_1_final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESM_2_final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407677/ESM_2_final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.1007/s11270-017-3520-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Relating soil geochemical properties to arsenic bioaccessibility ",
      "description": "soil element total concentration, soil pH and arsenic bioaccessibility values. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the non personally identifiable data through the journal publisher if they have a subscription or other means to access journal articles from this publisher (Journal of Toxicology and Environmental Health). They can not access the personally identifiable/protected info. Format: These data were generated from EPA Regional samples. \n\nThis dataset is associated with the following publication:\nNelson, C., K. Li, D. Obenour, J. Miller, J. Misenheimer, K. Scheckel, A. Betts, A. Juhasz, D. Thomas, and K. Bradham. Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling..   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 81(6): 160-172, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1420304",
      "keyword": [
        "arsenic",
        "Bioaccessibility",
        "soil",
        "properties"
      ],
      "contactPoint": {
        "fn": "Clay Nelson",
        "hasEmail": "mailto:nelson.clay@epa.gov"
      },
      "distribution": [],
      "modified": "2017-11-01",
      "references": [
        "https://doi.org/10.1080/15287394.2018.1423798"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil As and Pb Levels and Plant Uptake in Three Gardens in Puerto Rico",
      "description": "Total and bioaccessible arsenic and lead levels and plant uptake in garden plants from Puerto Rico. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the non personally identifiable data through the journal (Geosciences) publisher (MDPI).  The journal is open access and does not require a subscription. Format: These data were generated from EPA Regional plant and soil samples. \n\nThis dataset is associated with the following publication:\nMisenheimer, J., C. Nelson, E. Huertas, M. Medina-Vera, A. Prevatte, and K. Bradham. Total and Bioaccessible Soil Arsenic and Lead Levels and Plant Uptake in Three Urban Community Gardens in Puerto Rico.   Geosciences. MDPI AG, Basel,  SWITZERLAND, 8(2): 43, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1433316",
      "keyword": [
        "arsenic",
        "bioaccumulation factor",
        "lead",
        "Risk Assessment",
        "soil",
        "urban garden",
        "plant uptake",
        "urban gardens",
        "Puerto Rico",
        "Bioaccessibility"
      ],
      "contactPoint": {
        "fn": "Clay Nelson",
        "hasEmail": "mailto:nelson.clay@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-30",
      "references": [
        "https://doi.org/10.3390/geosciences8020043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Relationship Between Total and Biaccessible Lead on Children's Blood Lead Levles in Urban Residential Philadelphia Soils.",
      "description": "Relationship Between Total and Biaccessible Lead on Children's Blood Lead Levles in Urban Residential Philadelphia Soils. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: These data are from a human study collected under IRB protocol:  Institutional Review Board approval was obtained from both the Centers for Disease Control and Prevention (CDC IRB Approval #6611, \"John T. Lewis Community Childhood Blood Lead Prevalence and Health Housing) and the Philadelphia Department of Public Health (PDPH). As such, it is a violation of Federal Law to publish them. Format: These data are from a Regional study in Philadelphia.  Institutional Review Board approval was obtained from both the Centers for Disease Control and Prevention and the Philadelphia Department of Public Health (PDPH). \n\nThis dataset is associated with the following publication:\nBradham, K., C. Nelson, J. Kelly, A. Pomales, K. Scruto, T. Dignam, J. Misenheimer, K. Li, D. Obenour, and D. Thomas. Relationship Between Total and Bioaccessible Lead on Children’s Blood Lead Levels in Urban Residential Philadelphia Soils.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(17): 10005-10011, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407685",
      "keyword": [
        "Bioaccessibility",
        "bioavailability",
        "Contamination",
        "lead",
        "soil"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1021/acs.est.7b02058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of mouse and swine bioassays for determination of soil arsenic relative bioavailability",
      "description": "Soil samples provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the data, which are provided in the publication and presented in tables and figures within the publication. Format: These data were generated from EPA Regional samples.  All of the soil samples were provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released.  There is currently on-going litigation for clean-up of these sites, which requires this information to be protected. \n\nThis dataset is associated with the following publication:\nBradham, K., G. Diamond, A. Juhasz, C. Nelson, and D. Thomas. Comparison of mouse and swine bioassays for determination of soil arsenic relative bioavailability.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 88: 221-225, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1420302",
      "keyword": [
        "Contamination",
        "arsenic",
        "bioavailability",
        "rish assessment",
        "soil"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2017.05.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF)",
      "description": "Ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). This dataset is not publicly accessible because: Too large. It can be accessed through the following means: Additional data used in this manuscript is available upon request.  The request should be made via email to James Szykman, at szykman.jim@epa.gov.   The additional data includes ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). Format: ceilometer normalized backscatter, mixed layer height derived from the backscatter, and radiosondes (t, p, rh, elevation) in Hierarchical Data Format (HDF). \n\nThis dataset is associated with the following publication:\nKnepp, T., J. Szykman, R. Long, R. Duvall, J. Krug, M. Beaver, K. Cavender, K. Kronmiller, M. Wheeler, R. Delgado, R. Hoff, T. Berkoff, E. Olson, R. Clark, D. Wolfe, D. Van Gilst, and D. Neil. Assessment of mixed-layer height estimation from single-wavelength ceilometer profiles.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 10: 3963-3983, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1420307",
      "keyword": [
        "ceilometer",
        "boundary layer height",
        "mixing height"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [],
      "modified": "2015-12-31",
      "references": [
        "https://doi.org/10.5194/amt-10-3963-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Greenspace and sudden unexpected death ",
      "description": "The attached dataset comprises 187 records, summarized by 2010 census tract. There are 40 variable fields including percent landcover type from the 2011 30m National Land Cover Dataset, density of greenway trails from Wake County (NC) gov't, and demographic attributes from the 2014 American Community Survey.  Two fields reflect count (during 2013-2015) and rate of sudden death; these fields are blank because these human-health data are protected under IRB agreement through UNC.\n\nThe EPA/ORD point of contact for this analysis is Dr. Laura Jackson (jackson.laura@epa.gov).  If interested in acessing the Wake County sudden death dataset, please contact Dr. Ross Simpson (ross_simpson@med.unc.edu). \n\nThis dataset is associated with the following publication:\nWu, J., K. Rappazzo, R. Simpson, G. Joodi, I. Pursell, P. Mounsey, W. Cascio, and L. Jackson. Exploring links between greenspace and sudden unexpected death: a spatial analysis.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 113: 114-121, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1434304",
      "keyword": [
        "Greenspace",
        "Sudden unexpected death",
        "greenway",
        "forest",
        "Bayesian spatial model",
        "Negative binomial model",
        "Wake County",
        "near-road tree canopy"
      ],
      "contactPoint": {
        "fn": "Jianyong Wu",
        "hasEmail": "mailto:wu.jianyong@epa.gov"
      },
      "distribution": [
        {
          "title": "greenspace and sudden death data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434304/greenspace%20and%20sudden%20death%20data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "greenspace and sudden death data dictonary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434304/greenspace%20and%20sudden%20death%20data%20dictonary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-24",
      "references": [
        "https://doi.org/10.1016/j.envint.2018.01.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of Bayesian Modeling to Assess Occurrence of Viral Pathogens in Multiple US Drinking Water Systems",
      "description": "Drinking water treatment plants rely on purification of contaminated source waters to provide communities with potable water.  One group of possible contaminants are enteric viruses.  Measurement of viral quantities in environmental water systems are often performed using polymerase chain reaction (PCR) or quantitative PCR (qPCR). However, true values may be underestimated due to challenges involved in a multi-step viral concentration process and due to PCR inhibition.  In this study, water samples were concentrated from 25 drinking water treatment plants (DWTPs) across the US to study the occurrence of enteric viruses in source water and removal after treatment.  The five different types of viruses studied were adenovirus, norovirus GI, norovirus GII, enterovirus, and polyomavirus. Quantitative PCR was performed on all samples to determine presence or absence of these viruses in each sample.  Ten DWTPs showed presence of one or more viruses in source water, with four DWTPs having treated drinking water testing positive.  Furthermore, PCR inhibition was assessed for each sample using an exogenous amplification control, which indicated that all of the DWTP samples, including source and treated water samples, had some level of inhibition, confirming that inhibition plays an important role in PCR-based assessments of environmental samples.   PCR inhibition measurements, viral recovery, and other assessments were incorporated into a Bayesian model to more accurately determine viral load in both source and treated water.  Results of the Bayesian model indicated that viruses are present in source water and treated water.  By using a Bayesian framework that incorporates inhibition, as well as many other parameters that affect viral detection, this study offers an approach for more accurately estimating the occurrence of viral pathogens in environmental waters. \n\nThis dataset is associated with the following publication:\nVarughese, E., N. Brinkman, E. Anneken, J. Cashdollar, S. Fout, E. Furlong, D. Kolpin, S. Glassmeyer, and S. Keely. Estimating virus occurrence using Bayesian modeling in multiple drinking water systems of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 619620: 1330-1339, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407504",
      "keyword": [
        "Bayesian statistics",
        "enteric viruses",
        "drinking water treatment",
        "enterovirus",
        "norovirus",
        "adenovirus"
      ],
      "contactPoint": {
        "fn": "Eunice Varughese",
        "hasEmail": "mailto:varughese.eunice@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/Figure%202%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HepG results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/HepG%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/Figure%203%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "qPCR master standard curves - Calculations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/qPCR%20master%20standard%20curves%20-%20Calculations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary of Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/Summary%20of%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental-file-2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/Supplemental-file-2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental-file-3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407504/Supplemental-file-3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-26",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.10.267"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Links to underwater videos ",
      "description": "Data is a video. Meta data in reprint. \n\nThis dataset is associated with the following publication:\nAngradi, T. A field observation of rotational feeding by Neogobius melanostomus.   Fishes. MDPI AG, Basel,  SWITZERLAND, 3(1): 1-6, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1419037",
      "keyword": [
        "round goby",
        "Dreissena",
        "Great Lakes",
        "video"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/1157438#.WmhXvKjiaUl",
          "accessURL": "https://zenodo.org/record/1157438#.WmhXvKjiaUl",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-01",
      "references": [
        "https://doi.org/10.3390/fishes3010005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1419037/documents/fishes-03-00005.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial pattern data for NLCD 2001-2011 land cover change accuracy",
      "description": "URL: interested users can create a NLCD 2001-2011 Level I change map and apply Equation listed in table 3 of the Open Access paper published in IJRS (https://doi.org/10.1080/01431161.2017.1410298) to replicate results.\n\nData: excel files of the accuracy assessment results. The data can be used to replicate slope and intercepts reported in IJRS paper. \n\nThis dataset is associated with the following publication:\nWickham, J., S.V. Stehman, and C.G. Homer. Spatial Patterns of NLCD Land Cover Change Thematic Accuracy (2001 - 2011).   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 39(6): 1729-1743, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1433645",
      "keyword": [
        "land cover change accuracy",
        "logistic regression",
        "NLCD",
        "spatial modeling"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mrlc.gov/",
          "accessURL": "https://www.mrlc.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XclFiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433645/XclFiles.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": [
        "https://doi.org/10.1080/01431161.2017.1410298"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-resolution Mass Spectrometry of Skin Mucus for Monitoring Physiological Impacts and Contaminant Biotransformation Products in Fathead Minnows Exposed to Wastewater Effluent",
      "description": "High-resolution mass spectrometry is advantageous for monitoring physiological impacts and contaminant biotransformation products in fish exposed to complex wastewater effluent.  We evaluated this technique using skin mucus from male and female fathead minnows (Pimephales promelas) exposed to control water or treated wastewater effluent at 5%, 20%, and 100% levels for 21 d, using an onsite, flow-through system providing real-time exposure.  Both sex-specific and non-sex-specific responses were observed in the mucus metabolome, the latter suggesting the induction of general compensatory pathways for xenobiotic exposures.  Altogether, 85 statistically significant treatment-dependent metabolite changes were observed and 30 of those annotated with probable structures.  The mummichog software package was used to elucidate impacted biochemical pathways and enhance metabolite annotation.  Partial least squares regression models revealed relationships between the mucus metabolomes and upregulated hepatic mRNA transcripts reported previously for these same fish.  These regression models suggest that mucus metabolomic changes reflected, in part, processes by which the fish biotransformed xenobiotics in the effluent.  Further, we detected a phase II transformation product of bisphenol A in the skin mucus of male fish.  Collectively, these findings demonstrate the utility of mucus as a minimally invasive matrix for simultaneously assessing exposures and effects of real-world mixtures of contaminants. \n\nThis dataset is associated with the following publication:\nMosley, J., D. Ekman, J.E. Cavallin, D. Villeneuve, G. Ankley, and T. Collette. High‐resolution mass spectrometry of skin mucus for monitoring physiological impacts and contaminant biotransformation products in fathead minnows exposed to wastewater effluent.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(3): 788-796, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1372899",
      "keyword": [
        "Complex Mixtures",
        "biotransformation",
        "Fish Skin Mucus",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "WLSSD 21d FHM Mucus Metabolome Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1372899/WLSSD%2021d%20FHM%20Mucus%20Metabolome%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-16",
      "references": [
        "https://doi.org/10.1002/etc.4003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Greenspaces and biomarkers of allostatic load",
      "description": "Residential greenness, biomarkers of stress and allostatic load, demographic and health characteristics from 300 subjets. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Format: Data are stored in SAS and MS Excel. \n\nThis dataset is associated with the following publication:\nEgorov, A., S. Griffin, R. Converse, J. Styles, E. Sams, A. Wilson, L. Jackson, and T. Wade. Vegetated land cover near residence is associated with reduced allostatic load and improved biomarkers of neuroendocrine, metabolic and immune functions.   ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 158: 508-21, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390164",
      "keyword": [
        "Greenspace",
        "multiple stressors",
        "allostatic load"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-15",
      "references": [
        "https://doi.org/10.1016/j.envres.2017.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Arden-Literature Review of Constructed Wetlands for greywater recycle and reuse",
      "description": "•\tConstructed wetlands are a low-tech, low energy water treatment alternative that show potential to adequately treat greywater for nonpotable reuse\r\n•\tDespite providing the necessary physical, chemical and biological removal mechanisms for greywater contaminants, removal dynamics are complex and less predictable than more engineered systems\r\n•\tPathogen reductions provided by constructed wetlands alone are likely not reliable enough to meet regulatory standards for reuse, particularly in the US\r\n•\tIf combined with common disinfection technologies (chlorination, UV) constructed wetlands may be an acceptable, low energy alternative for decentralized, nonpotable reuse. \n\nThis dataset is associated with the following publication:\nArden, S., and C. Ma. Constructed Wetlands for Greywater Recycle and Reuse.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 630: 587-599, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407637",
      "keyword": [
        "constructed wetlands",
        "water reuse",
        "nonpotable water",
        "low energy water treatment",
        "greywater reuse",
        "pathogen and chemical risks"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "Arden - Literature Review Manuscript Draft - Figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407637/Arden%20-%20Literature%20Review%20Manuscript%20Draft%20-%20Figures.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Arden - Literature Review Manuscript Draft.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407637/Arden%20-%20Literature%20Review%20Manuscript%20Draft.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Arden - Literature Review.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407637/Arden%20-%20Literature%20Review.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.02.218"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rapid Effects of the Aromatase Inhibitor Fadrozole on Steroid Production and Gene Expression in the Ovary of Female Fathead Minnows (Pimephales promelas)",
      "description": "Aromatase inhibition is one of the chemical modes of action of concern to EPA's Endocrine Disruptor Screening Program (EDSP). In vitro bioassays that can detect aromatase inhibition are part of both the EDSP tier 1 screening program and are included subset of ToxCast assays employed for EDSP21 screening. An adverse outcome pathway (AOP) linking aromatase inhibition to reproductive dysfunction in fish has been described and endorsed by the OECD, establishing a scientifically sound connection between aromatase inhibition and adverse apical outcomes relevant to risk assessment and regulatory decision-making. Further, computational models that allow for quantitative prediction of dose-response time-course behaviors and the potential severity of the adverse outcome based on in vitro screening data have been developed. The present study provides further weight of evidence to support this AOP and its use in regulatory decision-making. In particular, it identifies rapid responses to aromatase inhibition that can be expected to occur within the first 24 h of exposure, examines the dynamic stability of gene expression responses over that period to help identify appropriate time periods in which characteristic gene expression responses may serve as effective biomarkers of exposure to aromatase inhibitors, and provides insights into different gene regulatory mechanisms that may be operating over the first few hours of exposure versus more systemic endocrine-related regulation that appear to take over after 6-12 h of exposure. These data continue to refine our understanding of this important mode of endocrine disruption and how to more efficiently and effectively both model and test for it to support regulatory decision-making. \n\nThis dataset is associated with the following publication:\nSchroeder, A., G. Ankley, T. Habib, N. Garcia-Reyero, B. Escalon, K. Jensen, M. Kahl, E. Durhan, E. Makynen, J. Cavallin, D. Martinovic-Weigelt, E. Perkins, and D. Villeneuve. Rapid effects of the aromatase inhibitor fadrozole on steroid production and gene expression in the ovary of female fathead minnows (Pimephales promelas).   GENERAL AND COMPARATIVE ENDOCRINOLOGY. Academic Press Incorporated, Orlando, FL, USA, 252: 79-87, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390114",
      "keyword": [
        "transcriptomics",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "6,12, 24 hour Fad quantile normalized.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/6%2C12%2C%2024%20hour%20Fad%20quantile%20normalized.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fad 0-6h quantile normalized data from GeneSpring.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/Fad%200-6h%20quantile%20normalized%20data%20from%20GeneSpring.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FAD 6_12_24h GSI CHEM STEROIDS for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/FAD%206_12_24h%20GSI%20CHEM%20STEROIDS%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FAD 0-6 h time course data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/FAD%200-6%20h%20time%20course%20data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FAD 0-24 h QPCR data for Science Hub 02-10-2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/FAD%200-24%20h%20QPCR%20data%20for%20Science%20Hub%2002-10-2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Tables for Fadrozole 2017-01-31.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/Supplementary%20Tables%20for%20Fadrozole%202017-01-31.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GEO Accession Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390114/GEO%20Accession%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-23",
      "references": [
        "https://doi.org/10.1016/j.ygcen.2017.07.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Excel spreadsheet of data used in Figure 3",
      "description": "Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. \n\nThis dataset is associated with the following publication:\nVallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 8(12): 1216, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1434939",
      "keyword": [
        "air pollution exposure",
        "near-field exposure",
        "life cycle assessment",
        "microenvironment",
        "exposure-based screening"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "Chin Csisar based SHEDs modeling results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434939/Chin%20Csisar%20based%20SHEDs%20modeling%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-27",
      "references": [
        "https://doi.org/10.3390/su8121216"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434939/documents/Chin%20Csisar%20based%20SHEDs%20modeling%20results.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "SHP-2 Mediates Cryptosporidium parvum Infectivity in Human Intestinal Epithelial Cells",
      "description": "The metadata include quantifications of western blots and values for number of infections when using various inhibitors.  The quantification data are included in one spreadsheet labeled “Western Blot quants” and the infection data is included in another spreadsheet labeled “Inhibitor quants”. \n\nThis dataset is associated with the following publication:\nVarughese , E., S. Kasper, E. Anneken, and J. Yadav. SHP-2 Mediates Cryptosporidium parvum Infectivity in Human Intestinal Epithelial Cells.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 10(11): e0142219, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390089",
      "keyword": [
        "cryptosporidium",
        "virulence factor",
        "infection",
        "SHP2",
        "paxillin",
        "in vitro"
      ],
      "contactPoint": {
        "fn": "Eunice Varughese",
        "hasEmail": "mailto:varughese.eunice@epa.gov"
      },
      "distribution": [
        {
          "title": "Western Blot quants.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390089/Western%20Blot%20quants.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Inhibitor quants.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390089/Inhibitor%20quants.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-10",
      "references": [
        "https://doi.org/10.1371/journal.pone.0142219"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The mouse thermoregulatory system: Its impact on translating biomedical data to humans",
      "description": "Ambient temperature vs.Core temperature. \n\nThis dataset is associated with the following publication:\nGordon, C. THE MOUSE THERMOREGULATORY SYSTEM:\r\nITS IMPACT ON TRANSLATING BIOMEDICAL DATA TO HUMANS.   Physiology & Behavior. Elsevier B.V., Amsterdam,  NETHERLANDS,  55-66, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407598",
      "keyword": [
        "behavior",
        "core temperature",
        "extrapolation",
        "hypothermia",
        "metabolic rate",
        "preferred temperature",
        "thermal conductance"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "The mouse thermoregulatory system - Its impact on translating biomedical data to humans.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407598/The%20mouse%20thermoregulatory%20system%20-%20Its%20impact%20on%20translating%20biomedical%20data%20to%20humans.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-28",
      "references": [
        "https://doi.org/10.1016/j.physbeh.2017.05.026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Indianapolis Research Duplex Total Database",
      "description": "Complete database for research conducted at the EPA's research house in Indianapolis, IN.  Data contained includes weather parameters, sampling dates/times/method, and resultant VOC contaminants. \n\nThis dataset is associated with the following publication:\nLutes, C., R. Truesdale, B. Cosky, J. Zimmerman , and B. Schumacher. Comparing Vapor Intrusion Mitigation System Performance for VOCs and Radon.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 25(7): 7-26, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390081",
      "keyword": [
        "radon",
        "vapor intrusion",
        "mitigation",
        "monitoring"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "TO-013_Database_March_2014.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390081/TO-013_Database_March_2014.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water stable isotopes data from Pipestem Creek, North Dakota, 2014-2015",
      "description": "Water stable isotope data (hydrogen and oxygen isotopes of H2O) from wetlands and streams within the Pipestem Creek watershed.  This data was collected over two open water seasons (May-September): 2014 and 2015. \n\nThis dataset is associated with the following publication:\nBrooks, J.R., D. Mushet, M. Vanderhoof, S. Leibowitz, J. Christensen, B. Neff, D. Rosenberry, W. Rugh, and L. Alexander. Estimating wetland connectivity to streams in the Prairie Pothole Region: an isotopic and remote sensing approach.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 54(2): 995-977, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407662",
      "keyword": [
        "connectivity",
        "wetlands",
        "stable isotope analsis",
        "evaporation"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "SSWR 3.01G Prairie Pothole Isotope & QA Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407662/SSWR%203.01G%20Prairie%20Pothole%20Isotope%20%26%20QA%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-03",
      "references": [
        "https://doi.org/10.1002/2017wr021016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coupling of organic and inorganic systems and the effect on gas-particle partitioning in the southeastern United States",
      "description": "Several models were used to describe the partitioning of ammonia, water, and organic compounds between the gas and particle phases for conditions in the southeastern US during summer 2013. Existing equilibrium models and frameworks were found to be sufficient, although additional improvements in terms of estimating pure-species vapor pressures are needed. Thermodynamic model predictions were consistent, to first order, with a molar ratio of ammonium to sulfate of approximately 1.6 to 1.8 (ratio of ammonium to 2  ×  sulfate, RN∕2S  ≈  0.8 to 0.9) with approximately 70 % of total ammonia and ammonium (NHx) in the particle. Southeastern Aerosol Research and Characterization Network (SEARCH) gas and aerosol and Southern Oxidant and Aerosol Study (SOAS) Monitor for AeRosols and Gases in Ambient air (MARGA) aerosol measurements were consistent with these conditions. CMAQv5.2 regional chemical transport model predictions did not reflect these conditions due to a factor of 3 overestimate of the nonvolatile cations. In addition, gas-phase ammonia was overestimated in the CMAQ model leading to an even lower fraction of total ammonia in the particle. Chemical Speciation Network (CSN) and aerosol mass spectrometer (AMS) measurements indicated less ammonium per sulfate than SEARCH and MARGA measurements and were inconsistent with thermodynamic model predictions. Organic compounds were predicted to be present to some extent in the same phase as inorganic constituents, modifying their activity and resulting in a decrease in [H+]air (H+ in µg m−3 air), increase in ammonia partitioning to the gas phase, and increase in pH compared to complete organic vs. inorganic liquid–liquid phase separation. In addition, accounting for nonideal mixing modified the pH such that a fully interactive inorganic–organic system had a pH roughly 0.7 units higher than predicted using traditional methods (pH  =  1.5 vs. 0.7). Particle-phase interactions of organic and inorganic compounds were found to increase partitioning towards the particle phase (vs. gas phase) for highly oxygenated (O : C  ≥  0.6) compounds including several isoprene-derived tracers as well as levoglucosan but decrease particle-phase partitioning for low O : C, monoterpene-derived species. \n\nThis dataset is associated with the following publication:\nPye, H., W. Appel, H. Foroutan, A. Zuend, J. Fry, G. Isaacman-VanWertz , N.L. Ng, A. Goldstein, S. Capps, and L. Xu. Coupling of organic and inorganic aerosol systems and the effect on gas–particle partitioning in the southeastern US.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 357-370, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1422410",
      "keyword": [
        "Aerosol",
        "sulfate",
        "Ammonium",
        "SOAS",
        "SOA",
        "nitrogen",
        "ammonia",
        "Secondary Organic Aerosol",
        "levoglucosan"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.atmos-chem-phys.net/18/357/2018/acp-18-357-2018.html",
          "accessURL": "https://www.atmos-chem-phys.net/18/357/2018/acp-18-357-2018.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ/",
          "accessURL": "https://github.com/USEPA/CMAQ/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pye_acp-18-357-2018.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422410/pye_acp-18-357-2018.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-13",
      "references": [
        "https://doi.org/10.5194/acp-18-357-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VIC soil moisture for MRB",
      "description": "50-yr VIC model output for MRB. \n\nThis dataset is associated with the following publication:\nTang, C., and D. Chen. Interaction between Soil Moisture and Air Temperature in the Mississippi River Basin.   Journal of Water Resource and Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 9(10): 1119-1131, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1415933",
      "keyword": [
        "soil moisture",
        "surfact temperture",
        "runoff",
        "baseflow",
        "air temperature",
        "quantile regression model",
        "wavelet transform coherency",
        "climate change (extremes"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub-details.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1415933/ScienceHub-details.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-03",
      "references": [
        "https://doi.org/10.4236/jwarp.2017.910073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zebrafish Locomotor Responses Reveal Irritant Effects of Fine PM Extracts and a Role for TRPA1",
      "description": "This dataset contains 60-min locomotor response data for all control, chemical and particulate-extract-treated zebrafish. \n\nThis dataset is associated with the following publication:\nStevens, J., S. Padilla, D. DeMarini, D. Hunter, K. Martin, L. Thompson, I. Gilmour, M. Hazari, and A. Farraj. Zebrafish Locomotor Responses Reveal Irritant Effects of Fine Particulate Matter Extracts and a Role for TRPA1.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  161(2): 290-299, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376224",
      "keyword": [
        "air pollution",
        "particulate matter",
        "Diesel Exhaust",
        "organic extracts",
        "health",
        "zebrafish",
        "locomotor",
        "behavior",
        "irritant responses",
        "TRPA1"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Zebrafish behavior_CDEP_All data_May2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376224/Zebrafish%20behavior_CDEP_All%20data_May2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-30",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx217"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The development and implementation of a method using blue mussels (Mytilus spp.) as biosentinels of Cryptosporidium spp. and Toxoplasma gondii contamination in marine aquatic environments",
      "description": "Data set includes occurrence and genotypes of T. gondii and Cryptosporidium species found in central California coastlines. \n\nThis dataset is associated with the following publication:\nStaggs , S., S. Keely , M. Ware , N. Schable, M. See , D. Gregorio, X. Zou, C. Su, J.P. Dubey, and E. Villegas. The development and implementation of a method using blue mussels (Mytilus spp.) as biosentinels of Cryptosporidium spp. and Toxoplasma gondii contamination in marine aquatic environments.   Parasitology Research. Springer, New York, NY, USA, 114(12): 4655-4667, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390090",
      "keyword": [
        "mussel",
        "bivalve",
        "Toxoplasma gondii",
        "cryptosporidium",
        "Methods development",
        "surface water",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Staggs_data_scihub-vDDS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390090/Staggs_data_scihub-vDDS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-12",
      "references": [
        "https://doi.org/10.1007/s00436-015-4711-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Determining Pathogen and Indicator Levels in Class B Municipal Organic Residuals Used for Land Application",
      "description": "Biosolids are nutrient rich organic residuals that are currently used to amend soils for food production.  Treatment requirements to inactivate pathogens for production of Class A biosolids are energy intensive.  One less energy intensive alternative is to treat biosolids to Class B standards, but it could result in higher pathogen loads.  Quantitative microbial risk assessments models have been developed on land application of Class B biosolids, but contain many uncertainties because of limited data on specific pathogen densities and the use of fecal indicator organisms as accurate surrogates of pathogen loads.   To address this gap, a 12-month study of the levels and relationships between Cryptosporidium, Giardia, and human adenovirus (HAdV) with fecal coliform, somatic and F-RNA coliphage levels in Class B biosolids from nine wastewater treatment plants throughout the United States was conducted.  Results revealed that fecal coliform, somatic, and F-RNA coliphage densities were consistent throughout the year.  More importantly, results revealed that HAdV (=2.5x103 genome copies/dry g) and Giardia (=4.14 x103 cysts/dry g) were in all biosolids samples regardless of treatment processes, location, or season.  Cryptosporidium oocysts were also detected (38 % positive; range: 0 -1.9 x 103 oocysts/dry g), albeit sporadically.  Positive correlations among three fecal indicator organisms and HAdV, but not protozoa, were also observed.  Overall, study reveals the high concentrations of enteric pathogens (e.g., Cryptosporidium, Giardia, and HAdV) are present in biosolids throughout the US.  Microbial densities found can further assist management and policy makers establish more accurate risk assessment models associated with land application of Class B biosolids. \n\nThis dataset is associated with the following publication:\nRhodes , E., L. Boczek , M. Ware , M. McKay, J. Hoelle , M. Schoen, and E. Villegas. Determining pathogen and indicator levels in Class B municipal organic residuals used for land application.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 44(1): 265-274, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390080",
      "keyword": [
        "biosolids",
        "giardia",
        "cryptosporidium",
        "fecal indicator bacteria",
        "organic residual",
        "wastewater",
        "occurrence"
      ],
      "contactPoint": {
        "fn": "Eric Villegas",
        "hasEmail": "mailto:villegas.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "VillegasEric_A-ftts_data_20160720.docx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390080/VillegasEric_A-ftts_data_20160720.docx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-01-29",
      "references": [
        "https://doi.org/10.2134/jeq2014.04.0142"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for \"Stuhldreher, M., Kargul, J., Barba, D., McDonald, J. et al. 2018. Benchmarking a 2016 Honda Civic 1.5-liter L15B7 Turbocharged Engine and Evaluating the Future Efficiency Potential of Turbocharged Engines, SAE 2018-01-0319\" V1",
      "description": "A 2016 Honda Civic with a 4-cylinder 1.5-liter L15B7 turbocharged engine and continuously variable transmission (CVT) was benchmarked. The test method involved installing the engine and its CVT in an engine dynamometer test cell with the engine wiring harness tethered to its vehicle parked outside\nthe test cell. Engine and transmission torque, fuel flow, key engine temperatures and pressures, and onboard diagnostics\n(OBD)/CAN bus data were recorded. The paper published as part of this work documents the test results for idle, low,\nmedium and high load engine operation, as well as motoring\ntorque, wide-open throttle torque and fuel consumption during transient operation using both EPA Tier 2 and Tier 3 test\nfuels. Particular attention is given to characterizing enrichment\ncontrol during high load engine operation. Results have been used to create complete engine fuel consumption and efficiency maps and estimate CO2 emissions using EPA’s ALPHA full vehicle simulation model, over regulatory drive cycles. Within the published paper, the design and performance of the 1.5-liter Honda engine are compared to several other past, present, and future downsized-boosted engines and potential advancements were evaluated. \n\nThis dataset is associated with the following publication:\nDekraker, P., S. Bohac, J. McDonald, J. Kargul, and D. Barba. Benchmarking a 2016 Honda Civic 1.5L Turbo Engine and Evaluating the Future Efficiency Potential of Turbocharged Engines.   SAE Technical Paper Series. SAE International, Warrendale, PA, USA,  34, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435430",
      "keyword": [
        "GHG",
        "Light-duty Vehicles",
        "air quality",
        "Energy Demand",
        "Internal Combustion Engines",
        "Hybrid Electric Vehicles",
        "Electric Vehicles"
      ],
      "contactPoint": {
        "fn": "Joseph McDonald",
        "hasEmail": "mailto:mcdonald.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2018-01-0319 Honda L15B7 Engine.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435430/SAE%202018-01-0319%20Honda%20L15B7%20Engine.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.4271/2018-01-0319"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biofiltration of trihalomethanes stripped from chlorinated drinking water ",
      "description": "This study examined the removal of chloroform under two environmental conditions (anaerobic and aerobic), and in the presence of ethanol as co-metabolite.  Investigations of the biological community structure within the BTFs were also conducted. The use of aerobic fungi BTF under acidic condition successfully enhanced the biodegradation process of chloroform. The BTF provided more stable performance by having smaller standard deviation in the removal efficiency as compared to the anaerobic BTF. Hence, acidic aerobic BTF had achieved significant improvement in the removal of chloroform. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., J. Lu, B. Mezgebe, and G. Sorial. Performance of Anaerobic Biotrickling Filter and Its Microbial Diversity for the Removal of Stripped Disinfection By-products.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL POLLUTION. Universidad Nacional Autonoma de Mexico,    228: 437, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407602",
      "keyword": [
        "trihalomethanes",
        "disinfection byproducts",
        "biofiltration",
        "choloform",
        "Aerobic",
        "anaerobic",
        "Biotrickling Filter",
        "Microbial diversity"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Mezgebe-comparative-paper REVISED_June2017_Rev.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407602/Mezgebe-comparative-paper%20REVISED_June2017_Rev.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mezgebe-comparative paper2 Table 1.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407602/Mezgebe-comparative%20paper2%20Table%201.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mezgebe-comparative-paper-Figures - Revised.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407602/Mezgebe-comparative-paper-Figures%20-%20Revised.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-01",
      "references": [
        "https://doi.org/10.1007/s11270-017-3616-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407602/documents/Data%20Dictionary_BiotrickleFiltration.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Seasonal Variation of Natural Organic Matter influence on the fate and transport of engineered nanomaterials",
      "description": "This study characterized Ohio river natural organic matter (NOM) during winter and summer times, and demonstrated the effects of these NOM samples on stability and transport of ceria nanoparticles in saturated porous media. Ohio river NOM samples that were characterized by thermal analysis, spectroscopic method, solid state NMR spectrometer and elemental analysis showed to have structural and compositional differences from standard humic acid that is used for laboratory tests,  This study explored the effects of Ohio river NOM in enhancing the transport and breakthrough of ceria nanoparticles in moderate (1-10 mM) ionic strength solutions. The enhancement in stability and transport appear to be dominated by the altered electrokinetic properties of the ceria NPs. \n\nThis dataset is associated with the following publication:\nLi, Z., E. Sahle-Demessie, A. Aly Hassan, J. Pressman, C. Han, and G. Sorial. Effects of source and seasonal variations of natural organic matters on the fate and transport of CeO2 nanoparticles in the environment.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 609: 1616-1626, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407604",
      "keyword": [
        "Engineered nanoparticles (NP)",
        "natural organic matter",
        "Ohio River",
        "Nanoparticles",
        "CeO2",
        "ssNMR-FTIR",
        "packed-column transport"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Effects of source and seasonal variations of natural organic matters on the fate and transport of CeO2 nanoparticles i.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407604/Effects%20of%20source%20and%20seasonal%20variations%20of%20natural%20organic%20matters%20on%20the%20fate%20and%20transport%20of%20CeO2%20nanoparticles%20i.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Data_NOM_CeO2_PPR.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407604/Supplementary%20Data_NOM_CeO2_PPR.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.07.154"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407604/documents/Seasonal%20Variation%20of%20NOM_Data%20Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Polypropylene-MWCNT degradation and Nanomaterials release",
      "description": "Degradation kinetics of nanocomposite in the environment.  Nano-polymer composites are exposed to sunlight and oxidizing conditions that cause weathering of the polymers, leading to degradation and the release of nanoparticles. \n\nThis dataset is associated with the following publication:\nHan, C., E. Sahle-Demessie, A. Zhao, T. Richardson, and J. Wang. Environmental aging and degradation of multiwalled carbon nanotube reinforced polypropylene.   CARBON. Pergamon Press Ltd., New York, NY, USA, 129: 137-151, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407600",
      "keyword": [
        "degradation",
        "nanocomposites",
        "nanorelease",
        "engineered nanomaterials",
        "multiwalled carbon nanotubes",
        "environmental degredation"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "PP_MWCNT_Degradation_TEXT_August2017.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407600/PP_MWCNT_Degradation_TEXT_August2017.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PP_MWCNT_Degradation_Figure_August2017.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407600/PP_MWCNT_Degradation_Figure_August2017.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "G-STD-0010591-JA-12-1_Supp_Info.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407600/G-STD-0010591-JA-12-1_Supp_Info.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PP_MWCNT_Degradation_Table_August2017.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407600/PP_MWCNT_Degradation_Table_August2017.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1016/j.carbon.2017.10.038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407600/documents/Data%20Dictionary_MWCNT_PlolymerComposite.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Linking Field-based Metabolomics and Chemical Analyses to Prioritize Contaminants of Emerging Concern in the Great Lakes Basin",
      "description": "Matrix of contaminant measurements and endogenous metabolite intensities (measured by NMR). \n\nThis dataset is associated with the following publication:\nDavis, J., D. Ekman, Q. Teng , G. Ankley , J. Berninger , J. Cavallin , K. Jensen , M. Kahl , A. Schroeder , D. Villeneuve , Z. Jorgenson, K. Lee, and T. Collette. Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(10): 2493–2502, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1389783",
      "keyword": [
        "Great Lakes",
        "chemicals of emerging concern",
        "nuclear magnetic resonance spectroscopy",
        "Fathead minnows",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Davis et al._2016_ET&C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389783/Davis%20et%20al._2016_ET%26C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-30",
      "references": [
        "https://doi.org/10.1002/etc.3409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1389783/documents/Data%20Dictionary%20for%20Davis%20et%20al.%202017_Input%20File.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolite profiles of repeatedly sampled urine from male fathead minnows (Pimephales promelas) contain unique lipid signatures following exposure to anti-androgens",
      "description": "The purpose of this study was twofold. First, we sought to identify candidate markers of exposure to antiandrogens\r\nby analyzing endogenous metabolite profiles in the urine of male fathead minnows (mFHM,\r\nPimephales promelas). Based on earlier work, we hypothesized that unidentified lipids in the urine of mFHM\r\nwere selectively responsive to exposure to androgen receptor antagonists,which is otherwise difficult to confirm\r\nusing established fish toxicity assays. A second goal was to evaluate the feasibility of non-lethally and repeatedly\r\nsampling urine from individual mFHMs over the time course of response to a chemical exposure. Accordingly, we\r\nexposed mFHM to the model anti-androgens vinclozolin or flutamide. Urine was collected from each fish at\r\n48 hour intervals over the course of a 14 day exposure. Parallel experiments were conducted with mFHM exposed\r\nto bisphenol A or control water. The frequent handling/sampling regime did not cause apparent adverse\r\neffects on the fish. Endogenous metabolite profiling was conducted with gas chromatography–mass spectrometry\r\n(GC–MS), which exhibited lower variation for the urinary metabolome than was found in earlier work with\r\nnuclear magnetic resonance (NMR) spectroscopy. Specifically, for inter- and intra-individual variations, the median\r\nspectrum-wide relative standard deviation (RSD) was 32.6% and 33.3%, respectively, for GC–MS analysis of\r\nurine from unexposed mFHM. These results compared favorably with similar measurements of urine from other\r\nmodel species, including the Sprague Dawley rat. In addition, GC–MS allowed us to identify several lipids\r\n(e.g., certain saturated fatty acids) in mFHM urine as candidate markers of exposure to androgen receptor\r\nantagonists.\r\nThe dataset that is uploaded here is the complete processed data from GC-MS instrument. \n\nThis dataset is associated with the following publication:\nCollette , T., D. Skelton, J. Davis , J. Cavallin , K. Jensen , M. Kahl , G. Ankley , G. Ankley , D. Martinovic-Weigelt, and D. Ekman. Metabolite profiles of repeatedly sampled urine from male fathead minnows (Pimephales promelas) contain unique lipid signatures following exposure to anti-androgens.   COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY - PART D: GENOMICS AND PROTEOMICS. Elsevier BV, AMSTERDAM,  NETHERLANDS, 19: 190-198, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1396186",
      "keyword": [
        "anti-androgens",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Final dataset_RUS study.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1396186/Final%20dataset_RUS%20study.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-04-17",
      "references": [
        "https://doi.org/10.1016/j.cbd.2016.01.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1396186/documents/Data%20Dictionary%20for%20Collette%20et%20al._repeately%20sample%20urine_Input%20File.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "A Nitrogen Physical Input-Output Model for Illinois",
      "description": "This file provides all the data that was used to estimate the physical input outputs for the State of Illinois.  The attached paper describes how the data was collected and provides all the metadata. \n\nThis dataset is associated with the following publication:\nSingh, S., J. Compton, T. Hawkins, D. Sobota, and E. Cooter. A Nitrogen Physical Input-Output Table (PIOT) Model for Illinois.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 360: 194-203, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407646",
      "keyword": [
        "illinois",
        "nitrogen",
        "life cycle assessment",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Singh et al. 2017 Ecol Modell Supp Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407646/Singh%20et%20al.%202017%20Ecol%20Modell%20Supp%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Singh et al. 2017 Ecol Modell N PIOT.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407646/Singh%20et%20al.%202017%20Ecol%20Modell%20N%20PIOT.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-31",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2017.06.015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linking terrestrial phosphorus inputs to riverine export across the US",
      "description": "Phosphorus inputs to the landscape from fertilizer and manure inputs, P surplus and P removal by crop harvest and hydrologic export.  The input layers are now available on EPA's EnviroAtlas under Pollutants: Nutrients and specifically the layers include 1) Phosphorus application as manure and 2) Phosphorus fertilizer application. \n\nThis dataset is associated with the following publication:\nMetson, G., J. Lin, J.A. Harrison, and J. Compton. Linking terrestrial phosphorus inputs to riverine export across the United States.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 124: 177-191, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407649",
      "keyword": [
        "manure",
        "crop harvest P",
        "fertilizer P",
        "surplus P",
        "nutrients",
        "algal blooms",
        "phosphorus",
        "water quality",
        "legacies"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "SI Tables_Jan19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407649/SI%20Tables_Jan19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FactSheetphosphorus_crop_uptake_V2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407649/FactSheetphosphorus_crop_uptake_V2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FactSheetphosphorus_fertilizer_v2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407649/FactSheetphosphorus_fertilizer_v2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FactSheetphosphorus_agricultural_balance_V2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407649/FactSheetphosphorus_agricultural_balance_V2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FactSheetphosphorus_manure V2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407649/FactSheetphosphorus_manure%20V2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2017.07.037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolism of Diazinon in Rainbow Trout Liver Slices version 1 Tapper A-12jq 09122017",
      "description": "Understanding biotransformation pathways in aquatic species is an integral part of ecological risk assessment with respect to the potential bioactivation of chemicals to more toxic metabolites. The long-range goal is to gain sufficient understanding of fish metabolic transformation reactions to be able to accurately predict fish xenobiotic metabolism. While some metabolism data exist, there are few fish in vivo exposure studies where metabolites have been identified and the metabolic pathways proposed. Previous biotransformation work has focused on in vitro studies which have the advantage of high throughput but may have limited metabolic capabilities, and in vivo studies which have full metabolic capacity but are low throughput. An aquatic model system with full metabolic capacity in which a large number of chemicals could be tested would be a valuable tool. The current study evaluated the ex vivo rainbow trout liver slice model, which has the advantages of high throughput as found in vitro models and non-dedifferentiated cells and cell to cell communication found in in vivo systems. The pesticide diazinon, which has been previously tested both in vitro and in vivo in a number of mammalian and aquatic species including rainbow trout, was used to evaluate the ex vivo slice model as a tool to study biotransformation pathways. While somewhat limited by the analytical chemistry method employed, results of the liver slice model, mainly that hydroxypyrimidine was the major diazinon metabolite, are in line with the results of previous rainbow trout in vivo studies. Therefore, the rainbow trout liver slice model is a useful tool for the study of metabolism in aquatic species. \n\nThis dataset is associated with the following publication:\nTapper, M., J. Serrano, P. Schmieder, D. Hammermeister, and R. Kolanczyk. Metabolism of diazinon in rainbow trout liver slices.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 4(1): 13-23, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1389587",
      "keyword": [
        "Metabolism",
        "trout",
        "liver slices",
        "diazinon",
        "biotransformation"
      ],
      "contactPoint": {
        "fn": "Mark Tapper",
        "hasEmail": "mailto:tapper.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Tapper A-12jq-Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389587/Tapper%20A-12jq-Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-12",
      "references": [
        "https://doi.org/10.1089/aivt.2017.0025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NEEAR Water Study",
      "description": "Epidemiological data from the NEEAR Water Study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Request from Tim Wade- wade.tim@epa.gov. Format: Data are stored in comma-delimited databases. \n\nThis dataset is associated with the following publications:\nWade, T., S. Augustine, S. Griffin, E. Sams, K. Oshima, A. Egorov, K. Simmons, T. Eason, and A. Dufour. Asymptomatic norovirus infection associated with swimming at a tropical beach: A prospective cohort study.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(3): e0195056, (2018).\nDeflorio-Barker, S., B. Arnold, E. Sams, A. Dufour, J. Colford, S. Weisberg, K. Schiff, and T. Wade. Child environmental exposures to water and sand at the beach: Findings from studies of over 60,000 subjects at 12 beaches.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28(2): 93-100, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1375932",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2015-04-15",
      "references": [
        "https://doi.org/10.1371/journal.pone.0195056",
        "https://doi.org/10.1038/jes.2017.23"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All raw data used to generate results",
      "description": "This dataset contains all data used in this study, including site ID, latitude, longitude, watershed land cover, water chemistry, and carbon and nitrogen stable isotope ratios of periphyton, invertebrate functional feeding groups, and five most frequently observed invertebrate families. Also included is a list of all invertebrates collected in this study along with their functional feeding group and stable isotope ratios. \n\nThis dataset is associated with the following publication:\nSmucker, N., A. Kuhn, C. Cruz-Quinones, J. Serbst, and J. Lake. Stable isotopes of algae and macroinvertebrates in streams respond to watershed urbanization, inform management goals, and indicate food web relationships.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 90: 295-304, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1434636",
      "keyword": [
        "nitrogen",
        "Algae",
        "benthic macroinvertebrates",
        "nutrients",
        "watersheds",
        "land cover",
        "food webs",
        "Impervious cover",
        "urban"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Smucker_stable_istotope_study_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434636/Smucker_stable_istotope_study_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-23",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2018.03.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data",
      "description": "The data set contains all of the raw spectra for the XAFS data analysis and the data that was used to generate the figures and table in the manuscript and supporting information.  The XAFS data requires the use of Demeter Software to access. \n\nThis dataset is associated with the following publication:\nClar, J., W. Platten, E. Baumann, A. Remsen, S. Harmon, C. Bennett-Stamper, T. Thomas, and T. Luxton. Dermal transfer and environmental release of CeO2 nanoparticles used as UV inhibitors on outdoor surfaces: Implications for human and environmental health.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA,  714-723, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435623",
      "keyword": [
        "Nanoparticles",
        "Cerium Oxide",
        "exposure",
        "Synchrotron X-ray Absorption",
        "consumer products",
        "Wipe Exposure",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435623/Data%20description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435623/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XAFS Projects.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435623/XAFS%20Projects.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.09.050"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data",
      "description": "the data set contains a summary of all measurements that were collected at the cottage grove reservoir over the time period of the study. This dataset is associated with the following publication:\nEckley , C., T. Luxton , J. McKernan , J. Goetz , and J. Goulet. Influence of Reservoir Water-Level Fluctuations on Mercury Methylation Downstream of the Historic Black Butte Mercury Mine, OR.  Michael Kersten  APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 61: 284-293, (2015). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435629",
      "keyword": [
        "mercury",
        "methylmercury",
        "reservoir",
        "porewater",
        "mercury methylation",
        "dissolved organic carbon"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [],
      "modified": "2018-05-02",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Open source data summaries - Fish, Rat, and Goat Metabolism Studies",
      "description": "Public versions of EFSA DAR's - metabolism study summaries for the pesticides; Fluazinam, Halauxifen-methyl, Kresoxim-methyl, Mandestrobin, Tolclofos-methyl in fish (bluegill or rainbow trout), rat, and goat. \n\nThis dataset is associated with the following publication:\nKolanczyk, R., J. Serrano, M. Tapper, and P. Schmieder. A comparison of fish pesticide metabolic pathways with those of the rat and goat.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 94: 124-143, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407629",
      "keyword": [
        "Rat",
        "Goat",
        "Bluegill Sunfish",
        "rainbow trout",
        "biotransformation",
        "Metabolism",
        "Metabolic Map",
        "Draft Assessment Report",
        "EFSA",
        "MetaPath",
        "Risk Assessment",
        "Species Extrapolation"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "SpeciesComparisonFiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407629/SpeciesComparisonFiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-12",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2018.01.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioactive Contaminants of Emerging Concern in National Park Waters of the Northern Colorado Plateau, USA",
      "description": "Water and sediment was collected to assess the occurrence of contaminants of emerging concern (CECs) in National Park waters of the northern Colorado Plateau, USA. CEC presence in water and sediment is reported for 21 sites in eight U.S. national parks in the northern Colorado Plateau region. From 2012 to 2016, at least one PPCP and/or WWI was detected at most sites on over half of sampling visits, indicating that CECs are not uncommon even in isolated areas. Maximum concentrations in this study were generally below available water quality benchmarks, sediment quality guidelines, and concentrations known to induce biological activity in vitro. C occurrence patterns and similarities between continuous and isolated flow locations suggest that direct contamination from individual visitors may also occur. While the data indicate there is little aquatic health risk associated with CECs at our sites, results demonstrate the ubiquity of CECs on the landscape and a continued need for public outreach concerning resource-use ethics and the potential effects of upstream development. \n\nThis dataset is associated with the following publication:\nWeissinger, R., B. Blackwell, K. Keteles, W. Battaglin, and P. Bradley. Bioactive contaminants of emerging concern in national park waters of the northern Colorado plateau, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 636: 910-918, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1434490",
      "keyword": [
        "National parks",
        "Northern Colorado Plateau",
        "contaminants of emerging concern (CEC)",
        "exposure activity ratio",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.scitotenv.2018.04.332",
          "accessURL": "https://doi.org/10.1016/j.scitotenv.2018.04.332",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5066/F7NP23PC",
          "accessURL": "https://doi.org/10.5066/F7NP23PC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.04.332"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the Impact of Overburden Materials Selection from an Appalachian Region Coal Mine in Mine Water Quality Using a Standard Columns Leaching Test",
      "description": "The objective of this study was to evaluate the leachate conductivity generated by overburden materials in a columns test representing the surface coal mining conditions and its correlation with cations, anions, pH, and alkalinity in two scenarios: “Altered” and “Unaltered” with the application of the screening and segregation proposed method. . For the Unaltered scenario, all strata were included; while the Altered scenario excluded the overburden strata with the highest 15% conductivities measured in the screening-level assessment. The 15% selection criterion was based on the best professional judgment that this would be a reasonable overburden quantity to be selectively identified and isolated in a surface coal mining operation. \n\nThis dataset is associated with the following publication:\nPinto, P., S. Al-Abed , C. Holder, R. Warner, J. McKernan , S. Fulton, and E. Somerville. Assessing the Impact of Removing Select Materials from Coal Mine Overburden, Central Appalachia Region, USA.  Robert Kleinmann  Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 37(1): 31-41, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500002",
      "keyword": [
        "coal mine water",
        "total dissolved solids",
        "mine waste leaching",
        "conductivity",
        "materials management"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "TDS manuscript Metadata data tables with data dictionary 2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500002/TDS%20manuscript%20Metadata%20data%20tables%20with%20data%20dictionary%202016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-15",
      "references": [
        "https://doi.org/10.1007/s10230-017-0462-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500002/documents/TDS%20manuscript%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Summary of test data for CIPP liner",
      "description": "Table 1. Selected Innovative Rehabilitation Technologies - summarizes the descriptions of the technologies.\nTable 2.  Summary of test data for CIPP liner - gives the values of the lab results.\nTable 3.  Summary of Four Technology Evaluations - summarizes the benefits of technologies. \n\nThis dataset is associated with the following publication:\nSelvakumar , A., and J. Matthews. Demonstration and Evaluation of Innovative Rehabilitation Technologies for Water Infrastructure Systems.   Journal of Pipeline Systems Engineering and Practice. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 8(4): 1949-1204, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500004",
      "keyword": [
        "cured-in-place pipe",
        "Field demonstration",
        "water main",
        "wastewater pipe",
        "spray on lining",
        "geopolymer mortar",
        "internal pipe sealing"
      ],
      "contactPoint": {
        "fn": "Ariamalar Selvakumar",
        "hasEmail": "mailto:selvakumar.ariamalar@epa.gov"
      },
      "distribution": [
        {
          "title": "Data set.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500004/Data%20set.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-03",
      "references": [
        "https://doi.org/10.1061/(asce)ps.1949-1204.0000268"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cao et al 20xx Data Set (Version 1)",
      "description": "HF183/BacR287 qPCR data from standard curves and coastal water samples used to seed simulations in study. \n\nThis dataset is associated with the following publication:\nCao, Y., M. Sivaganesan, C. Kelty, D. Wang, A. Boehm, J. Griffith, S. Weisberg, and O. Shanks. A Human Fecal Contamination Score for Ranking Recreational Sites using the HF183/BacR287 Quantitative Real-Time PCR Method.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 128: 148-156, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407638",
      "keyword": [
        "Microbial Source Tracking",
        "human fecal pollution",
        "qPCR",
        "site prioritization",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Cao et al 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407638/Cao%20et%20al%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1016/j.watres.2017.10.071"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wilkin et al. (2017) As Se Co-contamination",
      "description": "The dataset includes groundwater information for: water stable isotopes, As concentrations, Se concentrations, and spectroscopic scans. \n\nThis dataset is associated with the following publication:\nWilkin, R.T., T. Lee, D. Beak, R. Anderson, and B. Burns. Groundwater Co-Contaminant Behavior of Arsenic and Selenium at a Lead and Zinc Smelting Facility.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 89: 255-264, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390568",
      "keyword": [
        "arsenic",
        "Selenium",
        "groundwater",
        "metalloids"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkin et al. (2017) As Se Co-contamination.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390568/Wilkin%20et%20al.%20%282017%29%20As%20Se%20Co-contamination.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-15",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2017.12.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA",
      "description": "To better understand the transport of neonicotinoid insecticides into the Great Lakes, monthly samples (October 2015-September 2016) were collected from 10 tributaries to the Great Lakes, USA. At least one neonicotinoid was detected in 74% of the monthly samples with up to three neonicotinoids detected in an individual sample (10% of all samples). The most frequently detected neonicotinoid was imidacloprid (53%) followed by clothianidin (44%), thiamethoxam (22%), acetamiprid (2%), and dinotefuran (1%). Thiacloprid was not detected in any samples. More spatially intensive samples from were collected in an agriculturally dominated area (Maumee River, Ohio) twice during spring 2016. Three neonicotinoids were ubiquitously detected (clothiandin, imidacloprid, thiamethoxam) in all water samples collected within this basin. \n\nThis dataset is associated with the following publication:\nHladik, M., S. Corsi, D. Kolpin, A. Baldwin, B. Blackwell, and J. Cavallin. Year-round presence of neonicotinoid insecticides in tributaries to the Great Lakes, USA.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 235: 102-1029, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1411959",
      "keyword": [
        "neonicotinoids",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.envpol.2018.01.013",
          "accessURL": "https://doi.org/10.1016/j.envpol.2018.01.013",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-23",
      "references": [
        "https://doi.org/10.1016/j.envpol.2018.01.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Social media data for Great Lakes AOCs",
      "description": "This data is an Excel file that has links to downloaded photographs posted to social media sites.  There is a sheet with metadata in the file. This dataset is associated with the following publication:\nAngradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1419012",
      "keyword": [
        "Great Lakes Areas of Concern",
        "social media",
        "Ecosystem services and benefits",
        "Decision making",
        "restoration"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [],
      "modified": "2018-02-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dilbit Dateset",
      "description": "Raw data and calculation. \n\nThis dataset is associated with the following publication:\nDeshpande, R., D. Sundaravadivelu, S. Techmann, R. Conmy, J. Santodomingo, and P. Campo. Microbial degradation of Cold Lake Blend and Western Canadian Select Dilbits in Freshwater.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 352: 111-120, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500012",
      "keyword": [
        "dilbit",
        "hydrocarbon"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "DilbitData (2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500012/DilbitData%20%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-10",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2018.03.030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating Weathering of Food Packaging Polyethylene-Nano-clay Composites: Release of Nanoparticles and their Impacts",
      "description": "When nanomaterials added to consumer products create products with improved properties. However, it is necessary to evaluate the potential of adverse impacts on the environment and the human health. This study has shown there is strong evidence that the stability of two types of food packaging low density polyethylene (LDPE)-clay composite films are altered when exposed to environmental conditions, UV-irradiation or ozone in the presence of moisture. Both LDPE samples underwent oxidative degradation during UV irradiation or ozone exposure resulting in a substantial change in physical, structural, and thermal properties releasing clay nanoparticles. \n\nThis dataset is associated with the following publication:\nHan, C., E. Sahle-Demessie, A. Zhao, and E. Varughese. Evaluating weathering of food packaging polyethylene-nano-clay composites: Release of nanoparticles and their impacts.   NanoImpact. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 61-71, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500001",
      "keyword": [
        "nanoclay",
        "polymer composite",
        "weathering",
        "nanorelease",
        "nanotoxicity"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "LDPE_nanoclay_Highlights_.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Highlights_.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDPE_nanoclay_Figures_text_11_24_16.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Figures_text_11_24_16.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDPE_nanoclay_Text_Revised_Han_Sahle.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Text_Revised_Han_Sahle.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDPE_nanoclay_Text_Revised_HeighlightedCorrection.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Text_Revised_HeighlightedCorrection.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDPE_nanoclay_Supplmenta_11_24_16.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Supplmenta_11_24_16.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDPE_nanoclay_Supplmenta_Revised_3_21_2017.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/LDPE_nanoclay_Supplmenta_Revised_3_21_2017.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/search?authors=sahle-demessie&pub=NanoImpact&show=25&sortBy=relevance&origin=jrnl_issue&zone=search&cid=313695",
          "accessURL": "https://www.sciencedirect.com/search?authors=sahle-demessie&pub=NanoImpact&show=25&sortBy=relevance&origin=jrnl_issue&zone=search&cid=313695",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1016/j.impact.2017.10.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500001/documents/Data%20Dictionary_MWCNT_PlolymerComposite.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "RLINE model algrotihms to account for NO2 near-road chemistry data set - RLINE_N02",
      "description": "This data set is associated with the results found in the journal article: Valencia et al, 2018. Development and evaluation of the R-LINE model algorithms to account for chemical transformation in the near-road environment. Transportation Research Part D, https://doi.org/10.1016/j.trd.2018.01.028. \nTo address the need to estimate near-road NO2 concentrations, we implemented three different approaches in order of increasing degrees of complexity and barrier to implementation from simplest to more complex. The first is an empirical approach based upon fitting a 4th order polynomial to existing near-road observations across the continental U.S., the second involves a simplified Two-reaction chemical scheme, and the third involves a more detailed set of chemical reactions based upon the Generic Reaction Set (GRS) mechanism. All models were able to estimate more than 75% of  concentrations within a factor of two of the near-road monitoring data and produced comparable performance statistics. These results indicate that the performance of the new R-LINE chemistry algorithms for predicting NO2 is comparable to other models (i.e. ADMS-Roads with GRS), both showing less than±15% fractional bias and less than 45% normalized mean square error. \n\nThis dataset is associated with the following publication:\nValencia, A., A. Venkatram, D. Heist, D. Carruthers , and S. Arunachalam. Development and evaluation of the R-LINE model algorithms to account for chemical transformation in the near-road environment.   Transportation Research Part D: Transport and Environment. Elsevier BV, AMSTERDAM,  NETHERLANDS, 59: 464-477, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1433507",
      "keyword": [
        "air pollution",
        "dispersion modeling",
        "Mobile sources",
        "exposure",
        "near road"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "HeistDavid_A-z099_Datafiles_RLINE_NO2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433507/HeistDavid_A-z099_Datafiles_RLINE_NO2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-15",
      "references": [
        "https://doi.org/10.1016/j.trd.2018.01.028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1433507/documents/HeistDavid_A-z099_DataDictionary_RLINE_NO2.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of Emissions from Liquid Fuel and Propane Open Burns",
      "description": "emission factor data. \n\nThis dataset is associated with the following publication:\nAurell, J., D. Hubble, B. Gullett, A. Holder, E. Washburn, and D. Tabor. Characterization of Emissions from Liquid Fuel and Propane Open Burns.   Fire Technology. Springer International Publishing AG, Cham (ZG),  SWITZERLAND, 53(6): 2023-2038, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407527",
      "keyword": [
        "emissions",
        "kerosene",
        "JP-5",
        "propane",
        "open fire",
        "pool fire",
        "fast cook off"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Dahlgren 01-26-2017 JA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407527/Data%20Table%20Science%20Hub%20Dahlgren%2001-26-2017%20JA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-26",
      "references": [
        "https://doi.org/10.1007/s10694-017-0670-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biofiltration of chloroform in a trickle bed air biofilter under acidic conditions",
      "description": "In this paper, the application of biofiltration is investigated for controlled removal of gas phase chloroform through cometabolic degradation with ethanol. A trickle bed air biofilter (TBAB) operated under acidic pH 4 is subjected to aerobic biodegradation of chloroform and ethanol. The TBAB is composed of pelleted diatomaceous earth filter media inoculated with filamentous fungi species, which served as the principle biodegrading microorganism. \n\nThis dataset is associated with the following publication:\nPalanisamy , K., B.  Mezgebe , G. Sorial, and E. Sahle-Demessie. Biofiltration of Chloroform in a Trickle Bed Air Biofilter Under Acidic Conditions.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 227: 478, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435556",
      "keyword": [
        "biofiltration",
        "Chloroform",
        "filamentous fungi",
        "cometabolism",
        "ethanol",
        "trickle bed air biofilter"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "G-STD-0016294-JA-5-0_Kertee'sPPR.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435556/G-STD-0016294-JA-5-0_Kertee%27sPPR.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "G-STD-0016294-JA-5-0_Kertee'sPPR_Figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435556/G-STD-0016294-JA-5-0_Kertee%27sPPR_Figures.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.1007/s11270-016-3194-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435556/documents/Data%20Dictionary_BiotrickleFiltration.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of natural organic matter effec on fate and transport of engineered nanoparticles ",
      "description": "This study characterized Ohio river natural organic matter during winter and summer seasons, and demonstrated the effects of these natural organic samples on stability and transport of cerium oxide nanoparticles in saturated porous media. OR-NOM samples that were characterized by thermal analysis, Fourier transfer solid state neutron magnetic resonance spectrometer and elemental analysis showed to have structural and compositional differences from standard humic acid. This study explored the effects of OR-NOM in enhancing the transport and breakthrough of ceria nanoparticle in moderate (1-10 mM) ionic strength solutions. The enhancement in stability and transport appear to be dominated by the altered electrokinetic properties of the nanopraticles. \n\nThis dataset is associated with the following publication:\nLi, Z., E. Sahle-Demessie, A. Aly Hassan, J. Pressman, C. Han, and G. Sorial. Effects of source and seasonal variations of natural organic matters on the fate and transport of CeO2 nanoparticles in the environment.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 609: 1616-1626, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407605",
      "keyword": [
        "engineered nanomaterials",
        "natural organic matter",
        "fourier transfer spectroscopy",
        "Nanoparticles",
        "CeO2",
        "ssNMR-FTIR",
        "packed-column transport",
        "Ohio River"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Effects of source and seasonal variations of natural organic matters on the fate and transport of CeO2 nanoparticles i.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407605/Effects%20of%20source%20and%20seasonal%20variations%20of%20natural%20organic%20matters%20on%20the%20fate%20and%20transport%20of%20CeO2%20nanoparticles%20i.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Data_NOM_CeO2_PPR.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407605/Supplementary%20Data_NOM_CeO2_PPR.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.07.154"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407605/documents/Seasonal%20Variation%20of%20NOM_Data%20Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "SA-PM versus SA-O3 complete data set_May 2014-August 2015",
      "description": "Raw data of cardiac and ventilatory responses to SA-PM and SA-O3. \n\nThis dataset is associated with the following publication:\nHazari, M., K. Stratford, T. Krantz, C. King, J. Krug, A. Farraj, and I. Gilmour. Comparative cardiopulmonary effects of particulate matter- and ozone-enhanced smog atmospheres in mice.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3071-3080, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375203",
      "keyword": [
        "Smog",
        "cardiac",
        "mouse",
        "electrocardiogram",
        "heart rate variability",
        "PM",
        "Ozone",
        "heart rate"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "SA-PM vs SA-O3_all data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375203/SA-PM%20vs%20SA-O3_all%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04880"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure Data and Table Data for Differential exposure and acute health impacts of inhaled solid-fuel emissions from rudimentary and advanced cookstoves in female CD-1 mice. ",
      "description": "To link health benefits derived from advanced CS usage to increasing combustion efficiencies of the cookstove, a wide variety of general health and respiratory system parameters that are often altered acutely following exposure to air pollutants were assessed.  The figures and tables reflect the health outcomes. \n\nThis dataset is associated with the following publication:\nGibbs-Flournoy, E., I. Gilmour, M. Higuchi, J. Jetter, I. George, L. Copeland, R. Harrison, V. Moser, and J. Dye. Differential exposure and acute health impacts of inhaled solid-fuel emissions from rudimentary and advanced cookstoves in female CD-1 mice..   ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 161: 35-48, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1377833",
      "keyword": [
        "cookstoves",
        "incomplete combustion",
        "lung injury",
        "oxidative stress",
        "phagocytosis"
      ],
      "contactPoint": {
        "fn": "Janice Dye",
        "hasEmail": "mailto:dye.janice@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub-Gibbs-Cookstoves_Figs&TablesFINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377833/ScienceHub-Gibbs-Cookstoves_Figs%26TablesFINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-30",
      "references": [
        "https://doi.org/10.1016/j.envres.2017.10.043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "See appendices K-N in report at http://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=530693",
      "description": "See report at: http://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=530693. \n\nThis dataset is associated with the following publication:\nJulius , S., J. Blue, and N. Hiremath. Urban Resilience to Climate Change: Washington, DC and Worcester, MA Case Studies. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407611",
      "keyword": [
        "Qualitative indicators",
        "quantitative indicators",
        "Worcester MA",
        "Washington DC",
        "climate change",
        "adaptation",
        "mixed methods",
        "urban resilience",
        "Vulnerability",
        "indicators"
      ],
      "contactPoint": {
        "fn": "Susan Julius",
        "hasEmail": "mailto:julius.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=530693",
          "accessURL": "https://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=530693",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://ofmpub.epa.gov/eims/eimscomm.getfile?p_download_id=530693"
      },
      "accessRights": "public"
    },
    {
      "title": "AOP-Wiki Event Component Annotation",
      "description": "This dataset contains ontology terms associated with key events from the AOP-Wiki.  This information was used to seed the AOP-Wiki with a carefully selected set of ontology terms prior to opening up the option for authors to tag their own AOPs. This is intended to provide existing examples for authors and improve consistency when assigning terms to the key events. \n\nThis dataset is associated with the following publication:\nIves, C., I. Campia, R. Wang, C. Wittwehr, and S. Edwards. Creating a Structured Adverse Outcome Pathway Knowledgebase via Ontology-Based Annotations.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 3(4): 298-311, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407549",
      "keyword": [
        "adverse outcome pathway",
        "key event",
        "ontology",
        "knowledgebase"
      ],
      "contactPoint": {
        "fn": "Stephen Edwards",
        "hasEmail": "mailto:edwards.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://aopwiki.org",
          "accessURL": "https://aopwiki.org",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CIvesSupplementaryTables_revised_08-04-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407549/CIvesSupplementaryTables_revised_08-04-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-16",
      "references": [
        "https://doi.org/10.1089/aivt.2017.0017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Safe Drinking Water Information System (SDWIS) Federal Reports Advanced Search Tool",
      "description": "A database where EPA has compiled data on public drinking water systems and whether they have certain drinking water violations.  This data is collected by the states and given to the EPA. \n\nThis dataset is associated with the following publication:\nPennino, M., J. Compton, and S. Leibowitz. Trends in Drinking Water Nitrate Violations Across the United States.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  13450-13460, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407575",
      "keyword": [
        "violation",
        "contaminants in water systems",
        "Clean Water Act",
        "drinking water",
        "nitrate",
        "nitrate in groundwater",
        "maximum contaminant level",
        "surface water",
        "public water systems"
      ],
      "contactPoint": {
        "fn": "Michael Pennino",
        "hasEmail": "mailto:pennino.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ofmpub.epa.gov/apex/sfdw/f?p=108:9:::NO::P9_REPORT:VIO",
          "accessURL": "https://ofmpub.epa.gov/apex/sfdw/f?p=108:9:::NO::P9_REPORT:VIO",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mean_Annual_NO3_Pop_Served_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/Mean_Annual_NO3_Pop_Served_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mean_Annual_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/Mean_Annual_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_NO3_Violation_Duration_State_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_NO3_Violation_Duration_State_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_NO3_Violations_Over_Time_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_NO3_Violations_Over_Time_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_GW_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_GW_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_NO3_Pop_Served_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_NO3_Pop_Served_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_GW_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_Percent_GW_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_GWSW_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_Percent_GWSW_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_SW_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_Percent_SW_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_SW_NO3_Violations_County_1994-2016_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407575/SDWIS_SW_NO3_Violations_County_1994-2016_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-30",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04269"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Photochemical smog and vitamin D deficiency",
      "description": "The dataset contains the results of a study examining the impact of vitamin D deficiency on the cardiopulmonary response of mice to photochemical smog. \n\nThis dataset is associated with the following publication:\nStratford, K., N. Coates, L. Thompson, T. Krantz, C. King, J. Krug, I. Gilmour, A. Farraj, and M. Hazari. Early-Life Persistent Vitamin D Deficiency Alters Cardiopulmonary Responses to Particulate Matter-Enhanced Atmospheric Smog in Adult Mice.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3054-3061, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375240",
      "keyword": [
        "vitamin d deficiency",
        "Smog",
        "cardiac",
        "mouse",
        "heart rate",
        "heart rate variability",
        "PM",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "Vitamin D and smog ECG.HRV.WBP data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375240/Vitamin%20D%20and%20smog%20ECG.HRV.WBP%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-09",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04882"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Light-absorbing organic carbon from prescribed and laboratory biomass burning and gasoline vehicle emissions",
      "description": "This dataset is a compilation of optical properties of the organic fraction of particulate matter emitted from prescribed burning and from gasoline vehicles. \n\nThis dataset is associated with the following publication:\nXie, M., M. Hays, and A. Holder. Light absorbing organic carbon from prescribed and laboratory biomass burning and gasoline vehicle emissions.   Scientific Reports. Nature Publishing Group, London,  UK,  online, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375575",
      "keyword": [
        "Prescribed Fires",
        "Gasoline Vehicle Emissions",
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Scientific Reports2017 Data Tables and Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375575/Scientific%20Reports2017%20Data%20Tables%20and%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.1038/s41598-017-06981-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Light Absorption of Secondary Organic Aerosol: Composition and Contribution of Nitro-aromatic Compounds",
      "description": "This is the data used to generate the figures published in the journal article titled, \"Light Absorption of Secondary Organic Aerosol: Composition and Contribution of Nitro-aromatic Compounds\". \n\nThis dataset is associated with the following publication:\nXie, M., X. Chen, M. Hays, M. Lewandowski, J. Offenberg, T. Kleindienst, and A. Holder. Light absorption of secondary organic aerosol: Composition and contribution of nitro-aromatic compounds.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(20): 11607-11616, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407634",
      "keyword": [
        "Nitro-aromatic compounds",
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Environmental Science and Technology 2017 Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407634/Environmental%20Science%20and%20Technology%202017%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-28",
      "references": [
        "https://doi.org/10.1021/acs.est.7b03263"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in manuscript \"Modeling crop residue burning experiments and assessing the fire impacts on air quality\"",
      "description": "The data sets includes the data used to generate the figures presented in the manuscript.  Each worksheet in the attached file provides data for a specific figure (as labeled). \n\nThis dataset is associated with the following publication:\nZhou, L., K. Baker, S. Napelenok, G. Pouliot, R. Elleman, S. O'Neill, S. Urbanski, and D. Wong. Modeling crop residue burning experiments to evaluate smoke emissions and plume transport.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 627: 523-533, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434485",
      "keyword": [
        "air quality",
        "biomass burning",
        "emissions",
        "smoke plume"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "Zhou2017_agburn_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434485/Zhou2017_agburn_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-31",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.01.237"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of spatial and temporal variation in light attenuation due to epigrowth on Zostera marina in Yaquina Bay",
      "description": "Data on epiphyte load, Zostera marina biomass, nutrients, and mesograzers on epiphytes for a 4 year period at six stations within Yaquina Bay, OR. Data were used to generate the figures contained in the paper \"An evaluation of factors controlling the abundance of epiphytes on Zostera marina along an estuarine gradient in Yaquina Bay, Oregon, USA\". \n\nThis dataset is associated with the following publication:\nNelson, W. An evaluation of factors controlling the abundance of epiphytes on Zostera marina along an estuarine gradient in Yaquina Bay, Oregon, USA..   AQUATIC BOTANY. Elsevier Science Ltd, New York, NY, USA, 148: 53-63, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1375802",
      "keyword": [
        "Epiphyte load",
        "nutrients",
        "Yaquina Bay",
        "dissolved inorganic nitrogen",
        "phosphorus",
        "Mesograzers"
      ],
      "contactPoint": {
        "fn": "Walter Nelson",
        "hasEmail": "mailto:nelson.walt@epa.gov"
      },
      "distribution": [
        {
          "title": "Nelson factors controlling Epiphyte Load SciHub figure data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375802/Nelson%20factors%20controlling%20Epiphyte%20Load%20SciHub%20figure%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-08",
      "references": [
        "https://doi.org/10.1016/j.aquabot.2018.04.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TDS-TSS-Flow Data Used_IMWA_Eval Relationships between TDS and TSS in a mining-influenced watershed",
      "description": "TDS, TSS, and Flow data used for developing and testing relationships in the Clear Creek Watershed, Colorado.  Data for development of relationships was collected by Barbara Butler while at the Colorado School of Mines.  Data for testing relationships was obtained from Tim Steele of TDS Consulting in Colorado as provided by the Upper Clear Creek Watershed Association. \n\nThis dataset is associated with the following publication:\nButler, B., and R. Ford. Evaluating Relationships Between Total Dissolved Solids (TDS) and Total Suspended Solids (TSS) in a Mining-Influenced Watershed.  Bob Kleinmann  Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 37(1): 18-30, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407561",
      "keyword": [
        "TDS",
        "TSS",
        "Flow",
        "conductivity",
        "loads",
        "TDS/TSS Ratio",
        "mining-influenced water",
        "water quality monitoring"
      ],
      "contactPoint": {
        "fn": "Barbara Butler",
        "hasEmail": "mailto:butler.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "TDS-TSS-Flow Data Used_IMWA_Eval Relationships between TDS and TSS in a mining-influenced watershed.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407561/TDS-TSS-Flow%20Data%20Used_IMWA_Eval%20Relationships%20between%20TDS%20and%20TSS%20in%20a%20mining-influenced%20watershed.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-07",
      "references": [
        "https://doi.org/10.1007/s10230-017-0484-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Florida Estuary Optics 2009-2012",
      "description": "Small boat surveys were conducted in four Florida estuaries along the northern Gulf of Mexico from September 2009 through January 2012.  The systems selected represent a range of optical characteristics (e.g., high vs. low particulate loads) and were of sufficient size to be adequately resolved with remote sensing imagery. The systems sampled were Pensacola Bay, Choctawhatchee Bay, St. Andrews Bay, and St. Joseph Bay.  Field data collection included discrete water samples, profiling water quality data, and above/below water in-situ hyperspectral optical measures.. \n\nThis dataset is associated with the following publication:\nSari Austuti, I., D. Mishra, S. Mishra, and B. Schaeffer. Spatio-temporal dynamics of inherent optical properties in oligotrophic northern Gulf of Mexico estuaries.   Continental Shelf Research. Elsevier BV, AMSTERDAM,  NETHERLANDS, 166: 92-107, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1424031",
      "keyword": [
        "Hybrid model",
        "Quasi-analytical algorithm",
        "water quality",
        "Florida estuaries",
        "MERIS",
        "Choctawhatchee Bay",
        "St. Andrew Bay",
        "Pensacola Bay",
        "and St. Joseph Bay"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "FL_Optics_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424031/FL_Optics_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FL_Estuaries_updated.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424031/FL_Estuaries_updated.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-01",
      "references": [
        "https://doi.org/10.1016/j.csr.2018.06.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1424031/documents/FL_estuaries_data_dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for paper: Evaluating the performance of household liquefied petroleum gas cookstoves",
      "description": "This dataset provides supporting information for figures in the journal article entitled: Evaluating the performance of household liquefied petroleum gas cookstoves. \n\nThis dataset is associated with the following publication:\nShen, G., J. Jetter, K. Smith, C. Williams, J. Faircloth, and M. Hays. Evaluating the Performance of Household Liquefied Petroleum Gas Cookstoves.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(2): 904-915, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407647",
      "keyword": [
        "LPG",
        "Liquefied Petroleum Gas",
        "cookstove",
        "stove",
        "emission",
        "efficiency"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Data in LPG paper- 20180505.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407647/Data%20in%20LPG%20paper-%2020180505.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-21",
      "references": [
        "https://doi.org/10.1021/acs.est.7b05155"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Blood Pb prediction with SHEDS-MM witth IEUBK",
      "description": "The data is related to all figures and tables presented in the journal article. All data is written using the SAS software data format. \n\nThis dataset is associated with the following publication:\nZartarian, V., J. Xue, R. Tornero-Velez, and J. Brown. Children’s Lead Exposure: A Multimedia Modeling Analysis to Guide Public Health Decision-Making.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(9): 1-10, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407554",
      "keyword": [
        "Time activity",
        "Soil and Dust ingestion rate",
        "soil and dust Pb concentration",
        "Water consumption rate",
        "SHEDS-IEUBK",
        "lead",
        "exposure",
        "model evaluation",
        "lead copper rule"
      ],
      "contactPoint": {
        "fn": "Valerie Zartarian Morrison",
        "hasEmail": "mailto:zartarian.valerie@epa.gov"
      },
      "distribution": [
        {
          "title": "XueJianping_2.63.6_Data_5-22-2017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407554/XueJianping_2.63.6_Data_5-22-2017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-01",
      "references": [
        "https://doi.org/10.1289/ehp1605",
        "https://www.epa.gov/dwstandardsregulations/lead-modeling-peer-review"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
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    {
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      "identifier": "https://doi.org/10.23719/1378462",
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      "identifier": "https://doi.org/10.23719/1378463",
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        "economic valuation of health impacts",
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    },
    {
      "title": "Gridded Hourly SO2 Data for BASE case contributed by USEPA",
      "description": "This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript \" Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3\" led by Dr. Ulas Im of Aarhus University in Denmark. \n\nThis dataset is associated with the following publication:\nIm, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 5967-5989, (2018).",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1378464",
      "keyword": [
        "ensemble modeling",
        "air quality health impacts",
        "economic valuation of health impacts",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
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      "distribution": [
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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    },
    {
      "title": "Gridded Hourly SO2 Data for NAM case contributed by USEPA",
      "description": "This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript \" Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3\" led by Dr. Ulas Im of Aarhus University in Denmark. \n\nThis dataset is associated with the following publication:\nIm, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 5967-5989, (2018).",
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      "identifier": "https://doi.org/10.23719/1378465",
      "keyword": [
        "ensemble modeling",
        "air quality health impacts",
        "economic valuation of health impacts",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
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      },
      "distribution": [
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          "title": "ImEtAl_Gridded_Data_SO2_NAM.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378465/ImEtAl_Gridded_Data_SO2_NAM.zip",
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    {
      "title": "Gridded Hourly SO2 Data for EAS case contributed by USEPA",
      "description": "This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript \" Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3\" led by Dr. Ulas Im of Aarhus University in Denmark. \n\nThis dataset is associated with the following publication:\nIm, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 5967-5989, (2018).",
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      "identifier": "https://doi.org/10.23719/1378466",
      "keyword": [
        "ensemble modeling",
        "air quality health impacts",
        "economic valuation of health impacts",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
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          "title": "ImEtAl_Gridded_Data_SO2_EAS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378466/ImEtAl_Gridded_Data_SO2_EAS.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://doi.org/10.5194/acp-18-5967-2018"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
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          }
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      },
      "describedBy": {
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      },
      "accessRights": "public"
    },
    {
      "title": "Gridded Hourly SO2 Data for GLO case contributed by USEPA",
      "description": "This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript \" Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3\" led by Dr. Ulas Im of Aarhus University in Denmark. \n\nThis dataset is associated with the following publication:\nIm, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 5967-5989, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1378467",
      "keyword": [
        "ensemble modeling",
        "air quality health impacts",
        "economic valuation of health impacts",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "ImEtAl_Gridded_Data_SO2_GLO.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378467/ImEtAl_Gridded_Data_SO2_GLO.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.5194/acp-18-5967-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378467/documents/HogrefeChristian_A-02v7_DataDescription_ImEtAl.zip",
        "mediaType": "application/zip"
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      "accessRights": "public"
    },
    {
      "title": "A Workflow for Identifying Metabolically Active Chemicals to Complement in vitro Toxicity Screening",
      "description": "This data includes metabolite predictions for in vitro inactive chemicals, predictions of those metabolite's estrogen receptor binding activity, in vitro and in silico information regarding parent compound binding activities, linking of metabolite structures and routes to parent compounds, and estimates of binding activity obtained from literature when possible. \n\nThis dataset is associated with the following publication:\nLeonard, J., C. Stevens, K. Mansouri, D. Chang, H. Pudukodu, S. Smith, and C. Tan. A Workflow for Identifying Metabolically Active Chemicals to Complement in vitro Toxicity Screening.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 71-83, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407568",
      "keyword": [
        "Metabolism",
        "quantitative structure activity relationship (QSAR)",
        "in vitro assays",
        "bioactivity"
      ],
      "contactPoint": {
        "fn": "Yu-Mei Tan",
        "hasEmail": "mailto:tan.cecilia@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407568/ScienceHub_Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-25",
      "references": [
        "https://doi.org/10.1016/j.comtox.2017.10.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predict_Organ_Toxicity_ChemResTox_Data",
      "description": "We use a supervised machine learning strategy to systematically investigate the relative importance of study type, machine learning algorithm, and type of descriptor on predicting in vivo repeat-dose toxicity at the organ-level.   A total of 985 compounds were represented using chemical structural descriptors, ToxPrint chemotype descriptors, and bioactivity descriptors from ToxCast in vitro high-throughput screening assays.  Using ToxRefDB, a total of 35 target organ outcomes were identified that contained at least 100 chemicals (50 positive and 50 negative). Supervised machine learning was performed using Na&iuml;ve Bayes, k-nearest neighbor, random forest, classification and regression trees, and support vector classification approaches. Model performnce was assessed based on F1 scores using five-fold cross-validation with balanced bootstrap replicates.  Fixed effects modeling showed the variance in F1 scores was explained mostly by target organ outcome, followed by descriptor type, machine learning algorithm, and interactions between these three factors.  A combination of bioactivity and chemical structure or chemotype descriptors were the most predictive. Model performance improved with more chemicals (up to a maximum of 24%) and these gains were correlated (&rho;= 0.92) with the number of chemicals. \n\nThis dataset is associated with the following publication:\nLiu, J., G. Patlewicz, A. Williams, R. Thomas, and I. Shah. (Chemical Research in Toxicology) Predicting organ toxicity using in vitro bioactivity data and chemical structure.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 30: 2046−2059, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407008",
      "keyword": [
        "machine learning",
        "qsar",
        "bioactivity",
        "chemotypes",
        "ToxCast",
        "ToxRefDB",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/ShahImran/Predicting_Organ_Toxicity/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/ShahImran/Predicting_Organ_Toxicity/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-28",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.7b00084"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chlorine and DBP formation experimental data and kinetic modeling analysis to derive chlorine decay and DBP formation kinetic constants under different pipe flow conditions",
      "description": "Experimental and modeling datasets and results. \n\nThis dataset is associated with the following publication:\nYang, J., Y. Zhao, Y. Shao, T. Speth, and T. Zhang. The Dependence of Chlorine Decay and DBP Formation Kinetics On Pipe Flow Properties in Drinking Water Distribution.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 141: 32-45, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407631",
      "keyword": [
        "chlorine decay",
        "THM formation",
        "Pipe flow hydrodynamics",
        "Drinking water distribution system",
        "DBP formation",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "regression constant.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/regression%20constant.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results082207.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results082207.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results101707.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results101707.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results102307.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results102307.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results103007.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results103007.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results111407.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results111407.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results121107.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results121107.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results041107.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results041107.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results041807.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results041807.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results061907.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results061907.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results062607.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results062607.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results071007.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results071007.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results091107.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results091107.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Loop4&5Results091807.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407631/Loop4%265Results091807.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-13",
      "references": [
        "https://doi.org/10.1016/j.watres.2018.04.048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of Targeted and Untargeted Effects-based Monitoring Tools to Assess Impacts of Wastewater Effluents on Fish in the South Platte River, CO",
      "description": "Results of partial least squares (PLS) analysis of metabolite changes and contaminant concentrations to determine contaminants most likely to responsible for biological effects and to screen against those contaminants not responsible. \n\nThis dataset is associated with the following publication:\nEkman, D., K. Keteles, J. Beihoffer, J. Cavallin, K. Dahlin, J. Davis, A. Jastrow, J. Lazorchak, M. Mills, M. Murphy, D. Nguyen, A. Vajda, D. Villeneuve, D. Winkelman, and T. Collette. Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 239: 706-713, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1378558",
      "keyword": [
        "NMR",
        "vitellogenin",
        "fathead minnow",
        "environmental estrogens",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Ekman et al._2018_Env. Pollut.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378558/Ekman%20et%20al._2018_Env.%20Pollut.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.1016/j.envpol.2018.04.054"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1378558/documents/Data%20Dictionary%20for%20Ekman%20et%20al._S.%20Platte_Input%20File.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "State and regional sensitivity spreadsheets for bar and pie charts",
      "description": "These files represent the state and regional summaries of sensitivities to formaldehyde, acetaldehyde and ozone to various sources and compounds. \n\nThis dataset is associated with the following publication:\nLuecken, D., S. Napelenok, M. Strum, R. Scheffe, and S. Phillips. Sensitivity of Ambient Atmospheric Formaldehyde and Ozone to Precursor Species and Source Types Across the United States.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(8): 4668–4675, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407657",
      "keyword": [
        "Formaldehyde",
        "NATA",
        "HAPs",
        "Sensitivity"
      ],
      "contactPoint": {
        "fn": "Deborah Luecken",
        "hasEmail": "mailto:luecken.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "FORM_sens_Jan_2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/FORM_sens_Jan_2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Form_sens_July_2017.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/Form_sens_July_2017.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ozone_sens_Jan_2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/Ozone_sens_Jan_2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ozone_sens_July_2017.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/Ozone_sens_July_2017.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ALD2_sens_Jan_2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/ALD2_sens_Jan_2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ALD_sens_July_2017.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/ALD_sens_July_2017.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "emissions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407657/emissions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-07",
      "references": [
        "https://doi.org/10.1021/acs.est.7b05509"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aircraft emission impacts on air quality",
      "description": "Data sets include information on emissions of air pollutants, description of 3-D meteorological state of the atmosphere, and output from the CMAQ model over the northern hemisphere and contiguous U.S. This dataset is not publicly accessible because: This research was conducted a part of the primary author's Ph.D. dissertation at the University of North Carolina at Chapel Hill. All data sets were created on the UNC computers and are housed there. Since the data sets are not directly available to the EPA investigator, they are not included in ScienceHub. It can be accessed through the following means: Data sets can be accessed by contacting Dr. Sarav Arunachalam at UNC - sarav@email.unc.edu. Format: Model input (3D meteorological fields and 3D emission files) and output are in netcdf format. Observational data sets used are publicly available and typically available as ascii files. \n\nThis dataset is associated with the following publication:\nVennam, L., W. Vizuete, K. Talgo, M. Omary, F. Binkowski, J. Xing, R. Mathur, and S. Arunachalam. Modeled Full-Flight Aircraft Emissions Impacts on Air Quality and Their Sensitivity to Grid Resolution.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 122(24): 13,472–13,494, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407531",
      "keyword": [
        "Aircraft emissions",
        "Hemispheric CMAQ",
        "air pollution",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [],
      "modified": "2016-10-28",
      "references": [
        "https://doi.org/10.1002/2017jd026598"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF and CMAQ Model Output",
      "description": "WRF and CMAQ model output for July 2011. This dataset is not publicly accessible because: The files are too large. It can be accessed through the following means: The data can be accessed through NCC's tape archival storage system (ASM). Format: WRF and CMAQ model output for July 2011. \n\nThis dataset is associated with the following publication:\nForoutan, H., and J. Pleim. Improving the simulation of convective dust storms in regional-to-global models.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(5): 2046–2060, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407597",
      "keyword": [
        "Dust",
        "haboob",
        "convective parameterization",
        "lightning assimilation",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Hosein Foroutan",
        "hasEmail": "mailto:foroutan.hosein@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1002/2017ms000953"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407597/documents/ForoutanHosein_A-15dz_Data_Dictionary_20170808.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "LCA of fuels and stoves in India, China, Ghana, and Kenya",
      "description": "This provides 4 results workbooks and 7 workbooks documenting the inventory. \n\nThis dataset is associated with the following publications:\nMorelli, B., S. Cashman, and M. Rodgers. Life Cycle Assessment of Cookstoves and Fuels in India, China, Kenya, and Ghana. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.\nCashman, S. Life-Cycle Assessment of Cookstove Fuels in India and China. U.S. Environmental Protection Agency, Washington, DC, USA, 2016.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407614",
      "keyword": [
        "Life cycle assessment (LCA)",
        "openLCA",
        "cookstoves",
        "indoor air quality",
        "energy ladder"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "archive.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/archive.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA Phase II Cookstove LCA Results - KE.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/EPA%20Phase%20II%20Cookstove%20LCA%20Results%20-%20KE.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA Phase II Cookstove LCA Results - IN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/EPA%20Phase%20II%20Cookstove%20LCA%20Results%20-%20IN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA Phase II Cookstove LCA Results - CN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/EPA%20Phase%20II%20Cookstove%20LCA%20Results%20-%20CN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA Phase II Cookstove LCA Results - GH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/EPA%20Phase%20II%20Cookstove%20LCA%20Results%20-%20GH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI6. Charcoal Kiln Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI6.%20Charcoal%20Kiln%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI3. Fuel Mix Scenario Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI3.%20Fuel%20Mix%20Scenario%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI4. Cookstove Electricity Scenario Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI4.%20Cookstove%20Electricity%20Scenario%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI2. Stove LCI Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI2.%20Stove%20LCI%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI7. Biogas Modeling Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI7.%20Biogas%20Modeling%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI1. Stove Use and Emissions Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI1.%20Stove%20Use%20and%20Emissions%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI5. Crop Residue Supplementary Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407614/SI5.%20Crop%20Residue%20Supplementary%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi/P100T7UD.PDF?Dockey=P100T7UD.PDF"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "StreamCat",
      "description": "The StreamCat Dataset provides summaries of natural and anthropogenic landscape features for ~2.65 million streams, and their associated catchments, within the conterminous USA. \n\nThis dataset is associated with the following publications:\nHill, R.A., M. Weber , S. Leibowitz , T. Olsen , and D.J. Thornbrugh. The Stream-Catchment (StreamCat) Dataset: A database of watershed metrics for the conterminous USA.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA,  9, (2015).\nHill, R., E. Fox, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Predictive Mapping of the Biotic Condition of Conterminous-USA Rivers and Streams.   ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 27(8): 2397-2415, (2017).\nFox, E., R. Hill, S. Leibowitz, T. Olsen, D. Thornbrugh, and M. Weber. Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 189(316): 1-20, (2017).\nThornbrugh, D., S. Leibowitz, R. Hill, M. Weber, Z. Johnson, T. Olsen, J. Flotemersch, J. Stoddard, and D. Peck. Mapping watershed integrity for the conterminous United States...   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 85: 1133-1148, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407613",
      "keyword": [
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-11",
      "references": [
        "https://doi.org/10.1111/1752-1688.12372",
        "https://doi.org/10.1002/eap.1617",
        "https://doi.org/10.1007/s10661-017-6025-0",
        "https://doi.org/10.1016/j.ecolind.2017.10.070"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/StreamCat/Documentation/DataDictionary.html"
      },
      "accessRights": "public"
    },
    {
      "title": "LaneCharles_A-dv4f_Data_20180430.xls",
      "description": "Data associated with the paper, \"Comparing pixel- and object-based approaches in effectively classifying wetland-dominated landscapes\". \n\nThis dataset is associated with the following publication:\nBerhane, T., C. Lane, Q. Wu, O. Anenkhonov, V. Chepinoga, B. Autrey, and H. Liu. Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 10(1): 46, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500025",
      "keyword": [
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "LaneCharles_A-dv4f_Data_20180430.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500025/LaneCharles_A-dv4f_Data_20180430.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-08",
      "references": [
        "https://doi.org/10.3390/rs10010046"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LaneCharles_A-zpd2_Data_30042018.xlsx",
      "description": "Data associated with the paper, \"Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory\". \n\nThis dataset is associated with the following publication:\nBerhane, T., C. Lane, Q. Wu, B. Autrey, O. Anenkhonov, V. Chepinoga, and H. Liu. Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 10(4): 580, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500026",
      "keyword": [
        "wetland"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "LaneCharles_A-zpd2_Data_30042018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500026/LaneCharles_A-zpd2_Data_30042018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-08",
      "references": [
        "https://doi.org/10.3390/rs10040580"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Las Vegas Near Road Data - PM2.5 and Black Carbon",
      "description": "Las Vegas Near Road Data PM2.5 and Black Carbon Data. \n\nThis dataset is associated with the following publication:\nKimbrough, S., T. Hanley, G. Hagler, R. Baldauf, M. Snyder, and H. Brantley. Influential factors affecting black carbon trends at four sites of differing distance from a major highway in Las Vegas.   Air Quality, Atmosphere & Health. Springer Netherlands,   NETHERLANDS, 11(2): 181-196, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1373706",
      "keyword": [
        "Black Carbon",
        "pm2.5",
        "near road",
        "near source",
        "air quality",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "PM and BC data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373706/PM%20and%20BC%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-25",
      "references": [
        "https://doi.org/10.1007/s11869-017-0519-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Space-time paired simulation-observation records",
      "description": "Files uploaded to ScienceHub pair the model results in space and time to observations of NCAR NOy, NO, NO2 and O3, UC Berkeley NO2, peroxy nitrates, alkyl nitrates, and nitric acid, made aboard the NASA P3B aircraft during the DISCOVER-AQ, Maryland, 2011. Data are paired as follows: Model predictions are paired with aircraft measurements in space where aircraft latitude, longitude, altitude were matched to nearest grid cell center and model layer center height.  Fifteen second averages of measurements were matched to modeled estimates in time to the nearest hour.\r\n\r\nObservational data is also archived at the NASA LaRC Atmospheric Sciences Data Center (https://www-air.larc.nasa.gov/data.htm). \n\nThis dataset is associated with the following publication:\nSimon, H., K. Baker, L. Valin, J. Crawford, S. Puesede, J. Kelly, K. Foley, R. Cohen, B. Timin, A. Weinheimer, N. Possiel, C. Owen, C. Misenis, G. Diskin, A. Fried, and B. Henderson. Characterizing CO and NOy Sources and Relative Ambient Ratios in the Baltimore Area Using Ambient Measurements and Source Attribution Modeling.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(6): 3304-3320, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407577",
      "keyword": [
        "Ozone",
        "air quality",
        "NOx emissions",
        "CO emissions",
        "Air Quality Model"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "paired-DISCOVER-AQ_CMAQ-ISAM_datafiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407577/paired-DISCOVER-AQ_CMAQ-ISAM_datafiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/missions/discover-aq/dataaccess.htm",
          "accessURL": "https://www-air.larc.nasa.gov/missions/discover-aq/dataaccess.htm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-06",
      "references": [
        "https://doi.org/10.1002/2017jd027688"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Census and Facility Emissions Dataset",
      "description": "Data Sources, including links; \nData Dictionary; \n2009-2013 American Community Survey, Block group-level Population Data; \n2010 Decennial Census, Block group-level Population Data; \n2008 National Emissions Inventory, Facility-level Data; \n2011 National Emissions Inventory, Facility-level Data; \n2014 National Emissions Inventory, Facility-level Data; \n2010 Rural-Urban Commuting Area Codes, Tract-level Data;\n2011 PM 2.5 Daily Average Fused Air Quality Surface Using Downscaling (FAQSD) Output, mean Tract-level Data, CONUS. \n\nThis dataset is associated with the following publication:\nMikati, I., A. Benson, T. Luben, J. Sacks, and J. Richmond-Bryant. Disparities in Distribution of Particulate Matter Emission Sources by Race and Poverty Status.   American Journal of Public Health. American Public Health Association, Washington, DC, USA, 108(4): 480-485, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1407543",
      "keyword": [
        "particulate matter",
        "national emissions inventory",
        "american community survey"
      ],
      "contactPoint": {
        "fn": "Ihab Mikati",
        "hasEmail": "mailto:mikati.ihab@epa.gov"
      },
      "distribution": [
        {
          "title": "Mikati_A-hdrp_census-facility-emissions-dataset-20170509.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407543/Mikati_A-hdrp_census-facility-emissions-dataset-20170509.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-09",
      "references": [
        "https://doi.org/10.2105/ajph.2017.304297"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LVdata 05182016 on-road estimates",
      "description": "Meteorological and concentration data at the Las Vegas I-15 monitoring site. \n\nThis dataset is associated with the following publications:\nRichmond-Bryant, J., M. Snyder, C. Owen, and S. Kimbrough. Factors associated with NO2 and NOx concentration gradients near a highway.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA,  214-226, (2017).\nRichmond-Bryant , J., C. Owen , S. Graham , M. Snyder, S. McDow , M. Oakes, and S. Kimbrough. Estimation of on-road NO2 concentrations, NO2/NOx ratios, and related roadway gradients from near-road monitoring data.   Air Quality, Atmosphere & Health. Springer Netherlands,   NETHERLANDS,  611-625, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407612",
      "keyword": [
        "near road",
        "oxides of nitrogen",
        "nitrogen dioxide",
        "NO2",
        "NOx"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "LVdata 05182016 on-road estimates REVISED Q3 only.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407612/LVdata%2005182016%20on-road%20estimates%20REVISED%20Q3%20only.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-18",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.11.026",
        "https://doi.org/10.1007/s11869-016-0455-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407612/documents/dictionary%2005212018%20v2.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Acrolein Inhalation Alters Myocardial Synchrony and Performance at and Below Exposure Concentration that Cause Ventilatory Responses in Mice",
      "description": "we examined the cardiovascular effects acrolein inhalation, particularly on myocardial synchrony and performance via ultrasound echocardiography. Male C57Bl/6J mice (n=6/group) were exposed to filtered air (FA), 0.3 ppm acrolein, or 3.0 ppm acrolein for 3 hours in whole body plethysmography chambers. Cardiac strain data, heart function, and transmitral blood flow were investigated with echocardiography (40 MHz) 1 day prior to exposure, 1 hour after exposure, and 1 day after exposure. During the first 30 minutes of exposure, breathing frequency decreased. tidal volume increased, and expiratory/inspiratory time ratio increased in response to 3.0 ppm acrolein. Elapsed time between peak strain in adjacent wall segments (i.e. myocardial strain delay), a measure of myocardial dyssynchrony, increased significantly in mice exposed to 3.0 ppm acrolein at 1 and 24 hours post-exposure. Mice exposed to 0.3 ppm acrolein did not demonstrate changes in myocardial synchrony but did show decreases in myocardial performance, i.e. increased Tei index, at both 1 and 24 hours post-exposure. \n\nThis dataset is associated with the following publication:\nThompson, L., A. Ledbetter , N. Coates , W. Cascio , M. Hazari , and A. Farraj. Acrolein inhalation alters myocardial synchrony and performance at and below exposure concentrations that cause ventilatory responses.   Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 17(2): 97-108, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1427298",
      "keyword": [
        "air quality",
        "air pollution",
        "acrolein",
        "Ambient air quality",
        "heart function",
        "myocardial synchrony",
        "myocardial dyssynchrony",
        "echocardiography"
      ],
      "contactPoint": {
        "fn": "Leslie Thompson",
        "hasEmail": "mailto:thompson.leslie@epa.gov"
      },
      "distribution": [
        {
          "title": "LT1 Thompson et al Acrolein Study_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1427298/LT1%20Thompson%20et%20al%20Acrolein%20Study_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-20",
      "references": [
        "https://doi.org/10.1007/s12012-016-9360-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hong and Purucker sensitivity analysis code and data",
      "description": "Code and data associated with Hong T, Purucker ST, 2018. Spatiotemporal sensitivity analysis of vertical transport of pesticides in soil, Environmental Modelling and Software, 105: 24-38, https://doi.org/10.1016/j.envsoft.2018.03.018. \n\nThis dataset is associated with the following publication:\nHong, T., and T. Purucker. Spatiotemporal sensitivity analysis of vertical transport of pesticides in soil.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   105: 24-38, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435024",
      "keyword": [
        "Pesticide Root Zone Model (PRZM)",
        "Sobol' sensitivity analysis",
        "global sensitivity analysis"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/hongpurucker_przm_sobol",
          "accessURL": "https://github.com/puruckertom/hongpurucker_przm_sobol",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-14",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2018.03.018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for \"Conway, G., Robertson, D., Chadwell, C., McDonald, J. et al. 2018 Evaluation of Emerging Technologies on a 1.6 L Turbocharged GDI Engine. SAE 2018-01-1423\" V1",
      "description": "Low-pressure loop exhaust gas recirculation (LP- EGR) combined with higher compression ratio, is a technology package that has been a focus of research to increase engine thermal efficiency of downsized, turbocharged gasoline direct injection (GDI) engines. Research shows that the addition of LP-EGR reduces the propensity to knock that is experienced at higher compression ratios. To investigate the interaction and compatibility between increased compression ratio and LP-EGR, a 1.6 L Turbocharged GDI engine was modified to run with LP-EGR at a higher compression ratio (12:1 versus 10.5:1) via a piston change. This work includes the results of baseline testing on an engine run with a prototype controller and initially tuned to mimic an original equipment manufacturer (OEM) baseline control strategy running on premium fuel (92.8 anti-knock index). This paper then presents test results after first adding LP-EGR to the baseline engine, and then also increasing the compression ratio (CR) using 12:1 pistons. As a last step, the 10.5 CR engine with LP-EGR was run on regular fuel (87.7 anti-knock index) to verify that this configuration could be calibrated to maintain performance like the baseline engine running on premium fuel. To understand the effect of each technology and operating strategy combination on vehicle fuel economy, the various engine maps were compared in EPA’s Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) tool over U.S. regulatory drive cycles. This work was done as part of the EPA's continuing assessment of advanced light-duty automotive technologies to support a Midterm Evaluation of Light-duty Vehicle GHG Standards. \n\nThis dataset is associated with the following publication:\nMcDonald, J., M. Stuhldreher, D. Barba, J. Kargul, G. Conway, D. Robertson, and C. Chadwell. Evaluation of Emerging Technologies on a 1.6 L Turbocharged GDI Engine.   SAE Technical Paper Series. SAE International, Warrendale, PA, USA,  15, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435450",
      "keyword": [
        "GHG",
        "Light-duty Vehicles",
        "air quality",
        "Energy Demand",
        "Internal Combustion Engines",
        "Hybrid Electric Vehicles",
        "Electric Vehicles"
      ],
      "contactPoint": {
        "fn": "Joseph McDonald",
        "hasEmail": "mailto:mcdonald.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2018-01-1423 Evaluation of Emerging Tech. on a 1.6 L TGDI Engine.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435450/SAE%202018-01-1423%20Evaluation%20of%20Emerging%20Tech.%20on%20a%201.6%20L%20TGDI%20Engine.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.4271/2018-01-1423"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gap to gap region data: soil, water level, modflow output hyporheic flow pathlines (2013-2015)",
      "description": ". In this study Light Detection and Ranging (LiDAR) data were used along with the head data from observation wells and stage data from rivers to setup and calibrate a groundwater model for 458 km2 of area within Gap to Gap reach of the Yakima River, WA. \n\nThis dataset is associated with the following publication:\nSingh, H., B. Faulkner, A. Keeley, J. Freudenthal, and K. Forshay. Floodplain restoration increases hyporheic flow in the Yakima River Watershed, Washington.   ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 116: 110-120, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1394800",
      "keyword": [
        "elevation",
        "stage",
        "hyporheic pathlines",
        "hyporheic flow",
        "MODFLOW",
        "Floodplain",
        "Levee setback"
      ],
      "contactPoint": {
        "fn": "Barton Faulkner",
        "hasEmail": "mailto:faulkner.bart@epa.gov"
      },
      "distribution": [
        {
          "title": "FaulknerBarton_A-rxx2_SDMP_20170825.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394800/FaulknerBarton_A-rxx2_SDMP_20170825.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HSsdmp_template_short.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394800/HSsdmp_template_short.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QA.Summary.HarshSingh20170825.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394800/QA.Summary.HarshSingh20170825.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-17",
      "references": [
        "https://doi.org/10.1016/j.ecoleng.2018.02.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dendrochronological data for western Oregon",
      "description": "Master chronologies of radial stem growth of Douglas-fir for western Oregon. \n\nThis dataset is associated with the following publications:\nLee, E., P. Beedlow, R. Waschmann, D.T. Tingey, S. Cline, M. Bollman, C. Wickham, and C. Carlile. Regional patterns of increasing Swiss needle cast impacts on Douglas-fir growth with warming temperatures..   Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 7(24): 11167-11196, (2017).\nLee, E., C. Wickham, P. Beedlow, R. Waschmann, and D.T. Tingey. A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history.   Dendrochronologia. Elsevier, Shannon,  IRELAND, 45: 132-144, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1419254",
      "keyword": [
        "climate change",
        "dendrochronology",
        "Douglas-fir",
        "Pacific Decadal Oscillation",
        "Pacific Northwest",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "falls_creek_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/falls_creek_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "horse_creek_trail_upper_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/horse_creek_trail_upper_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cascade_head_14_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/cascade_head_14_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "horse_creek_trail_lower_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/horse_creek_trail_lower_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "jackson_place_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/jackson_place_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "moose_mtn_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/moose_mtn_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "toad_creek_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/toad_creek_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "woods_creek_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/woods_creek_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "soapgrass_mtn_douglas-fir_ringwidth.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/soapgrass_mtn_douglas-fir_ringwidth.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-15",
      "references": [
        "https://doi.org/10.1002/ece3.3573",
        "https://doi.org/10.1016/j.dendro.2017.08.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1419254/documents/Data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for \"Lee, S.D., Cherry, J., Safoutin, M., McDonald, J. et al. 2018. Modeling and Validation of 48 V Mild Hybrid Lithium-Ion Battery Pack. SAE 2018-01-0433\" V1",
      "description": "The purpose of this work was to develop and validate a 48 V lithium-ion battery model for integration into EPA’s ALPHA vehicle simulation model and that can also be used within Gamma Technologies, LLC (Westmont, IL) GT-DRIVE™ vehicle simulations.  These vehicle models allow simulation of energy flows and CO2 emissions for mild hybrid electric vehicles over EPA regulatory drive cycles and during real-world driving.  The battery model is a standard equivalent circuit model with two-time constant resistance-capacitance (RC) blocks. Resistances and capacitances were calculated using test data from an 8 Ah, 0.4 kWh, 48 V (nominal) lithium-ion battery obtained from a Tier 1 automotive supplier, A123 Systems, and developed specifically for 48 V MHEV applications. The A123 Systems battery has 14 pouch-type lithium ion cells arranged in a 14 series and 1 parallel (14S1P) configuration. The RC battery model was validated using battery test data generated by a hardware-in-the-loop (HIL) system that simulated the impact of mild hybrid electric vehicle (MHEV) operation on the A123 systems 48 V battery pack over U.S. regulatory drive cycles. The HIL system matched charge and discharge data originally generated by Argonne National Laboratory (ANL) during chassis dynamometer testing of a 2013 Chevy Malibu Eco 115 V MHEV. All validation testing was performed at the Battery Test Facility (BTF) at the U.S. EPA National Vehicle and Fuel Emissions Laboratory (NVFEL) in Ann Arbor, Michigan. The simulated battery voltages, currents, and state of charge (SOC) of the HIL tests were in good agreement with vehicle test data over a number of different drive cycles and excellent agreement was achieved between RC model simulations of the 48 V battery and HIL battery test data. \n\nThis dataset is associated with the following publication:\nLee, S., J. Cherry, M. Safoutin, J. McDonald, and M. Olechiw. Modeling and Validation of 48V Mild Hybrid Lithium-ion Battery Pack.   SAE Technical Paper Series. SAE International, Warrendale, PA, USA,  11, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435437",
      "keyword": [
        "GHG",
        "Light-duty Vehicles",
        "air quality",
        "Energy Demand",
        "Internal Combustion Engines",
        "Hybrid Electric Vehicles",
        "Electric Vehicles"
      ],
      "contactPoint": {
        "fn": "Joseph McDonald",
        "hasEmail": "mailto:mcdonald.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2018-01-0433 48V Li-Ion Battery Model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435437/SAE%202018-01-0433%2048V%20Li-Ion%20Battery%20Model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.4271/2018-01-0433"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for \"Lee, S., Cherry, J., Safoutin, M., Neam, A., McDonald, J., Newman, K.  2018. Modeling and Controls Development of 48 V Mild Hybrid Electric Vehicles. SAE 2018-01-0413\" V1",
      "description": "The purpose of this work was to develop a 48 V mild hybrid electric vehicle (MHEV) model for drive cycle simulation using the EPA Advanced Light-Duty Powertrain and Hybrid Analysis tool (ALPHA).  The work included controls development, component and vehicle modeling , and model validation for simulations of a vehicle with a 48 V Belt Integrated Starter Generator (BISG) MHEV system.  An initial model design was also developed for a 48 V inline on-axis P2-configuration MHEV and will be validated as part of future work. Both MHEV configurations were developed into sub-models using a MATLAB/Simulink/Stateflow tool.  The sub-models have subsequently been integrated into EPA’s ALPHA vehicle model.  Initial sub-model development and validation was conducted using the commercially-available Gamma Technology GT-DRIVE vehicle simulation model. The mild hybrid electric vehicle model was validated using vehicle data obtained from Argonne National Laboratory (ANL) chassis dynamometer tests of a 2013 Chevrolet Malibu Eco 115 V 15 kW BISG mild hybrid electric vehicle. The simulated fuel economy, engine torque/speed, motor torque/speed, engine on-off controls, battery voltage, current, and State of Charge (SOC) were all in good agreement with the vehicle test data on a number of drive schedules. The developed 48 V mild hybrid electric vehicle model can be used to estimate the GHG emissions and fuel economy of 48 V mild hybrid electric vehicles over the EPA regulatory drive cycles and to estimate off-cycle GHG emissions, real-world GHG emissions, and vehicle energy flows. The 48 V mild hybrid electric vehicle model will be further validated with additional 48 V mild hybrid electric vehicle test data in the future as more vehicle models become available. EPA has included 48 V BISG mild hybrid electric vehicle technology in its assessment of CO2-reducing technologies available for compliance with U.S. GHG standards. \n\nThis dataset is associated with the following publication:\nLee, S., M. Safoutin, A. Neam, J. Cherry, and J. McDonald. Modeling and Controls Development of 48V Mild Hybrid Electric Vehicles.   SAE Technical Paper Series. SAE International, Warrendale, PA, USA,  15, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435438",
      "keyword": [
        "GHG",
        "Light-duty Vehicles",
        "air quality",
        "Energy Demand",
        "Internal Combustion Engines",
        "Hybrid Electric Vehicles",
        "Electric Vehicles"
      ],
      "contactPoint": {
        "fn": "Joseph McDonald",
        "hasEmail": "mailto:mcdonald.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2018-01-0413 48V MHEV Model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435438/SAE%202018-01-0413%2048V%20MHEV%20Model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.4271/2018-01-0413"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for \"Robertson, D., Conway, G., Chadwell, C., McDonald, J. et al. 2018. Predictive GT-Power Simulation for VNT Matching on a 1.6 L Turbocharged GDI Engine. SAE 2018-01-0161\" V1",
      "description": "Low-pressure loop exhaust gas recirculation (LP- EGR) combined with higher compression ratio, is a technology package that has been a focus of research to increase engine thermal efficiency of downsized, turbocharged gasoline direct injection (GDI) engines. Research shows that the addition of LP-EGR reduces the propensity to knock that is experienced at higher compression ratios [1]. To investigate the interaction and compatibility between increased compression ratio and LP-EGR, a 1.6 L Turbocharged GDI engine was modified to run with LP-EGR at a higher compression ratio (12:1 versus 10.5:1) via a piston change. This paper presents the results of the baseline testing on an engine run with a prototype controller and initially tuned to mimic an original equipment manufacturer (OEM) baseline control strategy running on premium fuel (92.8 anti-knock index). This paper then presents test results after first adding LP-EGR to the baseline engine, and then also increasing the compression ratio (CR) using 12:1 pistons. As a last step, the 10.5 CR engine with LP-EGR was run on regular fuel (87.7 anti-knock index) to verify that this configuration could be calibrated to maintain performance like the baseline engine running on premium fuel. To understand the effect of each technology and operating strategy combination on vehicle fuel economy, the various engine maps were compared in EPA’s Advanced Light-Duty Powertrain and Hybrid Analysis (ALPHA) tool over U.S. regulatory drive cycles. This work was done as part of the EPA's continuing assessment of advanced light-duty automotive technologies to support a Midterm Evaluation of Light-duty Vehicle GHG Standards. \n\nThis dataset is associated with the following publication:\nMcDonald, J., J. Kargul, D. Barba, G. Conway, D. Robertson, and C. Chadwell. Predictive GT-Power Simulation for VNT Matching on a 1.6 L GDI Turbocharged Engine.   SAE Technical Paper Series. SAE International, Warrendale, PA, USA,  16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435449",
      "keyword": [
        "GHG",
        "Light-duty Vehicles",
        "air quality",
        "Energy Demand",
        "Internal Combustion Engines",
        "Hybrid Electric Vehicles",
        "Electric Vehicles"
      ],
      "contactPoint": {
        "fn": "Joseph McDonald",
        "hasEmail": "mailto:mcdonald.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2018-01-0161  1.6 L TGDI VNT Engine Model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435449/SAE%202018-01-0161%20%201.6%20L%20TGDI%20VNT%20Engine%20Model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.4271/2018-01-0161"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting datasets for paper \"Estimating Future Temperature Maxima in Lakes across the United States using a Surrogate Modeling Approach\"",
      "description": "Model input and simulation output files. \n\nThis dataset is associated with the following publication:\nButcher, J., T. Zi, M. Schmidt, T. Johnson, D. Nover, and C. Clark. Critical Lake Temperature Response to Climate Change across the United States.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 12(11): 1-16, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376237",
      "keyword": [
        "climate",
        "change",
        "lake",
        "thermal"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Lakes_Data Files.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376237/Lakes_Data%20Files.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://osf.io/4r44z/",
          "accessURL": "https://osf.io/4r44z/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-24",
      "references": [
        "https://doi.org/10.1371/journal.pone.0183499"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MBRs LCI and LCIA data",
      "description": "This study calculated the cumulative energy and greenhouse gas (GHG) life cycle and cost profiles of transitional aerobic membrane bioreactors (AeMBR) and anaerobic MBRs (AnMBR). Membrane bioreactors (MBR) represent a promising technology for decentralized wastewater treatment and can produce recycled water to displace potable water. Energy recovery is also possible with methane generated from AnMBRs. In this study, scenarios for these technologies were investigated for different scale systems serving various population densities under various climate conditions with multiple methane recovery options. Details of the GHG life cycle and cost profiles for the AeMBR and AnMBR can be found in AeMBR_LCI_Cost_9-9-15.xls and AnMBR_LCI_Cost_9-9-15.xls respectively. Results of the previously described comparisons can be found can be found in MBR_LCIAResults_9-9-15.xlsx. \n\nThis dataset is associated with the following publication:\nCashman, S., C. Ma, J. Mosley, J. Garland, B. Crone, and X. Xue. Energy and greenhouse gas life cycle assessment and cost analysis of aerobic and anaerobic membrane bioreactor systems: Influence of scale, population density, climate, and methane recovery.   Bioresource Technology. Elsevier Online, New York, NY, USA, 254: 56-66, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1413477",
      "keyword": [
        "life cycle assessment",
        "Membrane Bioreactor",
        "Energy Demand",
        "Greenhouse gas",
        "Life Cycle Cost",
        "e Cycle Assessment"
      ],
      "contactPoint": {
        "fn": "Jay Garland",
        "hasEmail": "mailto:garland.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "AeMBR_LCI_Cost_9-9-15.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413477/AeMBR_LCI_Cost_9-9-15.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AnMBR_LCI_Cost_9-9-15.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413477/AnMBR_LCI_Cost_9-9-15.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MBR_LCIAResults_9-9-15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413477/MBR_LCIAResults_9-9-15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-23",
      "references": [
        "https://doi.org/10.1016/j.biortech.2018.01.060"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for MAMA Study and modeled predictions for PBDEs",
      "description": "Data set contains concentrations of persistent organic chemicals measured breast milk and blood for a small cohort of North Carolina women. \n\nThis dataset is associated with the following publication:\nMarchitti, S., S. Fenton, P. Mendola, J. Kenneke , and E. Hines. Polybrominated Diphenyl Ethers in Human Milk and Serum from the U.S. EPA MAMA Study: Modeled Predictions of Infant Exposure and Considerations for Risk Assessment.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(4): 706–713, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407656",
      "keyword": [
        "breast milk",
        "POPs",
        "blood",
        "exposure",
        "life stage",
        "infant",
        "PBDE",
        "transporter",
        "Metabolism"
      ],
      "contactPoint": {
        "fn": "John Kenneke",
        "hasEmail": "mailto:kenneke.john@epa.gov"
      },
      "distribution": [
        {
          "title": "MAMA Study Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407656/MAMA%20Study%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-25",
      "references": [
        "https://doi.org/10.1289/ehp332"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set fro Inhibition of Human ABC efflux transporters p-gp and BCRP by BDE-47 hydroxylated metabolite 6-OH-BDE-47",
      "description": "In vitro data from cell-based assays on the inhibition of BDE and its hydroxylated metabolite on ABC transporters. \n\nThis dataset is associated with the following publication:\nMarchitti, S., C. Mazur, C. Dillingham, S. Rawat, A. Sharma, J. Zastre, and J. Kenneke. Inhibition of the Human ABC Efflux Transporters P-gp and BCRP by the BDE-47 Hydroxylated Metabolite 6-OH-BDE-47: Considerations for Human Exposure.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    155(1): 270-282, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407655",
      "keyword": [
        "p-gp",
        "BCRP",
        "transporter",
        "exposure",
        "life stage",
        "breast milk",
        "infant",
        "PBDE",
        "Metabolism"
      ],
      "contactPoint": {
        "fn": "John Kenneke",
        "hasEmail": "mailto:kenneke.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Figures Marchitti SOT 2017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407655/Data%20for%20Figures%20Marchitti%20SOT%202017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-13",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "McEachran target NTA Sciencehub entry 170926",
      "description": "This dataset contains:\nNTA Features - Aligned, processed, and matched HRMS features from non-target analysis for both positive and negative ESI modes for both sites and all three sampling months \nTargeted FWRS data - Monthly concentrations and chemical identifiers of all targeted CECs at the Forest Water Reuse System (FWRS)\nConventional WWTP Data - Monthly concentrations and chemical identifiers of all targeted CECs at the Conventional WWTP. \n\nThis dataset is associated with the following publication:\nMcEachran, A., M. Hedgespeth, S. Newton, R. McMahen, M. Strynar, D. Shea, and E. Guthrie Nichols. Comparison of emerging contaminants in receiving waters downstream of a conventional wastewater treatment plant and a forest-water reuse system.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 25(13): 12451-12463, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407653",
      "keyword": [
        "wastewater",
        "contaminants of emerging concern (CEC)",
        "forest-water reuse",
        "non-targeted analysis",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Seth Newton",
        "hasEmail": "mailto:newton.seth@epa.gov"
      },
      "distribution": [
        {
          "title": "McEachran target NTA Sciencehub entry 170926.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407653/McEachran%20target%20NTA%20Sciencehub%20entry%20170926.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-26",
      "references": [
        "https://doi.org/10.1007/s11356-018-1505-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparative study on the performance of Anaerobic and Aerobic Biotrickling Filter for the Removal of Chloroform",
      "description": "Method for the removal and degradation of harmful disinfection byproducts from drinking water. \n\nThis dataset is associated with the following publication:\nMezgebe, B., K. Palanisamy,, G. Sorial, E. Sahle-Demessie, A. Aly Hassan, and J. Lu. Comparative Study on the Performance of Anaerobic and Aerobic Biotrickling Filter for Removal of Chloroform.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 35(5): 462-471, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435446",
      "keyword": [
        "Aerobic",
        "anaerobic",
        "Biotrickling Filter",
        "Microbial diversity",
        "trihalomethanes"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "G-STD-0016294-JA-7-0_figs.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435446/G-STD-0016294-JA-7-0_figs.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "G-STD-0016294-JA-7-0.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435446/G-STD-0016294-JA-7-0.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.1089/ees.2017.0275"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435446/documents/Data%20Dictionary_BiotrickleFiltration.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Las Vegas Data",
      "description": "Las Vegas Near Road Data. \n\nThis dataset is associated with the following publication:\nKimbrough , S., C. Owen, M. Snyder, and J. Richmond-Bryant. NO to NO2 conversion rate analysis and implications for dispersion model chemistry\r\nmethods using Las Vegas, Nevada near-road field measurements.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 165: 23-24, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1373703",
      "keyword": [
        "NO2",
        "NOx",
        "no2/nox ratio",
        "near source",
        "air quality",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "LVdata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1373703/LVdata.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-23",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.06.027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate differentiates forest structure across a residential macrosystem",
      "description": "The extent of urban ecological homogenization depends on how humans build, inhabit, and manage cities.  Morphological and socio-economic facets of neighborhoods can drive the homogenization of forest cover, thus affecting urban ecological and hydrological processes, and ecosystem services.  Recent evidence, however, suggests that the same biophysical drivers differentiating composition and structure of natural forests can further counteract the homogenization of urban forests.  We hypothesize that climate can differentiate forest structure across residential macrosystems, regional-to-continental discontinuous systems of urban land.  To test this hypothesis, forest structure (tree and shrub cover and volume) was measured using LiDAR data and multispectral imagery across a residential macrosystem composed of 9 cities, 1503 neighborhoods, and 1.4 million residential parcels.  Cities were selected along a potential evapotranspiration (PET) gradient in the conterminous United States, ranging from the colder continental climate of Fargo, North Dakota (PET = 66.21 mm) to the hotter subtropical climate of Tallahassee, Florida (PET = 160.49 mm).  The relative effects of climate, urban morphology, and socio-economic variables on residential forest structure were assessed by using generalized linear models.  Climate differentiated forest structure of the residential macrosystem as hypothesized.  Average forest cover doubled along the PET gradient (0.39 - 0.78 m2 m-2), whereas average forest volume had a threefold increase (2.50 – 8.12 m3 m-2).  Forest volume across neighborhoods increased exponentially with forest cover.  Urban morphology had a greater effect in homogenizing forest structure on residential parcels compared to socio-economics.  Climate and urban morphology variables best predicted residential forest structure, whereas socio-economic variables had the lowest predictive power.  Results indicate that climate can differentiate forest structure across residential macrosystems and may counteract the homogenizing effects of urban morphology and socio-economic drivers at city-wide scales.  This resonates with recent empirical work suggesting the existence of complex multi-scalar mechanisms that regulate ecological homogenization and ecosystem convergence among cities.  The study initiates high-resolution assessments of forest structure across entire urban macrosystems and breaks new ground for research on the ecological and hydrological significance of urban vegetation at subcontinental scale. \n\nThis dataset is associated with the following publication:\nOssola, A., and M. Hopton. Climate differentiates forest structure across a residential macrosystem.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 639: 1164-1174, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1393851",
      "keyword": [
        "Green Infrastructure",
        "socio-ecological systems",
        "urban ecology",
        "urban trees",
        "urban ecosystem convergence theory",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393851/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ranalyses.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393851/Ranalyses.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-17",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.05.237"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Simulation Output - Earth Interactions article \"The Effects of Downscaling Method on the Variability of Simulated Watershed Response to Climate Change in Five U.S. Basins\"",
      "description": "Monthly summaries of simulated watershed responses to mid-century climate change scenarios in 5 U.S. basins. \n\nThis dataset is associated with the following publication:\nNover, D., J. Witt , J. Butcher, T. Johnson , and C. Weaver. The Effects of Downscaling Method on the Variability of Simulated Watershed Response to Climate Change in Five U.S. Basins.   Earth Interactions. American Meteorological Society, Boston, MA, USA, 20, 1-27, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390087",
      "keyword": [
        "climate change streamflow water quality downscaling",
        "climate",
        "change",
        "downscaling",
        "method"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "ACF River.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390087/ACF%20River.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Minnesota River.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390087/Minnesota%20River.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Salt River.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390087/Salt%20River.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Susquehanna River.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390087/Susquehanna%20River.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Willamette River.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390087/Willamette%20River.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-04",
      "references": [
        "https://doi.org/10.1175/ei-d-15-0024.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A small, lightweight multipollutant sensor system for ground-mobile and aerial emission sampling from open area sources",
      "description": "Emission data from UAV flights. \n\nThis dataset is associated with the following publication:\nZhou, X., J. Aurell, B. Mitchell, D. Tabor, and B. Gullett. A small, lightweight multipollutant sensor system for ground-mobile and aerial emission sampling from open area sources.   JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, USA, 154: 31-41, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390075",
      "keyword": [
        "emissions",
        "unmanned aerial vehicle",
        "Sensors",
        "air pollution",
        "unmanned aerial vehicles",
        "aerostats"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table for Science Hub Zhou paper Gullett.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390075/Data%20Table%20for%20Science%20Hub%20Zhou%20paper%20Gullett.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-08",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2017.01.029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerial sampling of emissions from biomass pile burns in Oregon",
      "description": "Emissions from burning slash biomass piles in western Oregon. \n\nThis dataset is associated with the following publication:\nAurell, J., B. Gullett, D. Tabor, and N. Yonker. Emissions from  prescribed burning of timber slash piles in Oregon..   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 150: 395-406, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390074",
      "keyword": [
        "emission factors",
        "timber slash",
        "pile cover",
        "moisture",
        "polyethylene"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Oregon 07-25-2016 JA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390074/Data%20Table%20Science%20Hub%20Oregon%2007-25-2016%20JA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.11.034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LakeCat",
      "description": "The LakeCat Dataset provides summaries of watershed features for 378,088 lakes within the conterminous USA and provides several hundred watershed-level metrics that summarize both natural (e.g., soils, geology, climate, and land cover) and anthropogenic (e.g., urbanization,\nagriculture, and mines) features. \n\nThis dataset is associated with the following publication:\nHill, R., M. Weber, R. Debbout, S. Leibowitz, and T. Olsen. The Lake-Catchment (LakeCat) Dataset: Characterizing landscape features for lake basins within the conterminous USA.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  37: 208-221, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500884",
      "keyword": [
        "lakes",
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-11",
      "references": [
        "https://doi.org/10.1086/697966"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/LakeCat/Documentation/DataDictionary.html"
      },
      "accessRights": "public"
    },
    {
      "title": "in vitro and microsome experiment data",
      "description": "exposure_experiment.csv: \r\ntime: length of time that amphibian was exposed to that pesticide in hours.  \r\nparent: is the active ingredient that the amphibian was exposed to.  \r\nanalyte: either the main parent compound or the metabolite that was quantified.  \r\nmatrix: the sample that was analyzed either the amphibian or soil.  \r\nconc: is the concentration for that specific analyte in that matrix for that specific species in microg/g\r\nreplicate: is the individual amphibian or soil exposed to that pesticide.\r\n\r\nmicrosome_experiment3.csv:  \r\ntime: is the length of time that the microsomes were exposed before being quenched in minutes.  \r\nparent: is the active ingredient that the amphibian was exposed to.  \r\nanalyte: either the main parent compound or the metabolite that was quantified.  \r\nmatrix: the sample that was analyzed microsomes.  \r\nconc: is the concentration for that specific analyte in that matrix for that specific species.  in micromolar (uM)\r\nreplicate: is the individual microsome exposed to that pesticide. \r\nmicroMexp: is the concentration in micromolar (uM) that the microsomes were exposed to for that pesticide. \n\nThis dataset is associated with the following publication:\nGlinski, D., M. Henderson, R. Van Meter, and T. Purucker. Using in vitro derived enzymatic reaction rates of metabolism to inform pesticide body burdens in amphibians.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 288: 9-16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407588",
      "keyword": [
        "microsomes",
        "Metabolism",
        "pesticides",
        "amphibians"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/837834#.WYD9BfnythE",
          "accessURL": "https://zenodo.org/record/837834#.WYD9BfnythE",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-12",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2018.02.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse Outcome Pathway Networks I: Development and Applications",
      "description": "In September, 2015, a water sample was collected downstream of a major metropolitan waste water treatment plant that discharges to the South Platte River, Colorado, USA. The grab sample, 1L, was collected just below the water surface, directly into a pre-cleaned, organic-free, amber glass bottle. The water sample was extracted by solid phase extraction using an Oasis-HLB glass catridge. Cartidges were conditioned sequentially using 5mL each of ethyl acetate, 50:50 methanol (MeOH):dichloromethane (DCM), MeOH, and water. The extract in DMSO was tested in the Attagene cis- and trans-FactorialTM assays (http://www.attagene.com/technology.php; Martin and others 2010; Romanov and others 2008). Data were analyzed using an established analysis pipeline for analyzing ToxCast™ high throughput screening data (Filer and others 2017). \"Active hits\" in the Attagene assay are included in the data table. \n\nThis dataset is associated with the following publication:\nKnapen, D., M. Angrish, M. Fortin, I. Katsiadaki, M. Leonard, L. Mariotta-Casaluci, S. Munn, J. O'Brien, N. Pollesch, L.C. Smith, X. Zhang, and D. Villeneuve. Adverse outcome pathway networks I: Development and applications.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(6): 1723-1733, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1423303",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "WG1-paper-1-supplementary-2018-02-08.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423303/WG1-paper-1-supplementary-2018-02-08.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Attagene SP 2014-15_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423303/Attagene%20SP%202014-15_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1002/etc.4125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse Outcome Pathway Networks II: Network Analytics",
      "description": "The data set provides a set of txt files and cytoscape files that were used to construct the example AOP networks included in the paper. Additionally, a supplementary table file provides all the network statistics discussed in the manuscript (e.g., node degree calculations, betweenness centrality, eccentricity, etc.). \n\nThis dataset is associated with the following publication:\nVilleneuve, D., M. Angrish, M. Fortin, I. Katsiadaki, M. Leonard, L. Margiotta-Casaluci, S. Munn, J. O'Brien, N. Pollesch, C. Smith, X. Zhang, and D. Knapen. Adverse outcome pathway networks II: Network analytics.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(6): 1734-1748, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1430043",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/etc.4124",
          "accessURL": "https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/etc.4124",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Networkfiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430043/Networkfiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Part-II-supplementary-tables_for submissioin.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430043/Part-II-supplementary-tables_for%20submissioin.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-28",
      "references": [
        "https://doi.org/10.1002/etc.4124"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Self-Cleaning Carbon Nanotube Membranes for Water Purification-confocal microscope pitures and slide preparation procedures",
      "description": "The pictures in the power point file were taken using a confocal microscope with green and red filters which represent viable and dead bacteria cells, respectively. Additionally, we provided the detailed procedures of bacteria propagation and viability staining in a MS word file. The data may provide background/supporting information for other researchers who are planning to perform for microscopic bacteria viability assays. \n\nThis dataset is associated with the following publication:\nAlvarez, N., R. Noga, S. Chae, G. Sorial, H. Ryu, and V. Shanov. Heatable carbon nanotube composite membranes for sustainable recovery from biofouling.   Biofouling. Taylor & Francis Group, London,  UK, 33(10): 847-854, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378446",
      "keyword": [
        "carbon nanotubes",
        "drawable and spinnable CNT",
        "membranes",
        "ohmic heating",
        "biofouling",
        "water and wastewater treatment",
        "Escherichia coli."
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Results (Sep 23, 2016) (revised).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378446/Results%20%28Sep%2023%2C%202016%29%20%28revised%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bacteria propagation and staining.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378446/Bacteria%20propagation%20and%20staining.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-05",
      "references": [
        "https://doi.org/10.1080/08927014.2017.1376322"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Taxonomic summary tables for illumina sequences from MEC study on influence of electrical conductivity by microbial activity in biofilm anode",
      "description": "This study assessed the conductivity of a Geobacter-enriched biofilm anode along with biofilm activity in a microbial electrochemical cell (MxC) equipped with two gold anodes (25 mM acetate medium), as different proton gradients were built throughout the biofilm. There was no pH gradient across the biofilm anode at 100 mM phosphate buffer (current density 2.38 A/m2) and biofilm conductivity (Kbio) was as high as 0.87 mS/cm. In comparison, an inner biofilm became acidic at 2.5 mM phosphate buffer in which approximately 80 μm of the inner biofilm anode was metabolically inactive. At this low phosphate buffer, Kbio significantly decreased by 0.27 mS/cm, together with declined current density of 0.64 A/m2. This work demonstrates that biofilm conductivity depends on metabolic activity of Geobacter in the conductive biofilm anode. The decreased Kbio at acidic environment implies the presence of multiple conduction-EET pathways in the biofilm anode. \n\nThis dataset is associated with the following publication:\nDhar, B., J. Sim, H. Ryu, H. Ren, J. Santodomingo, J. Chae, and H. Lee. Microbial Activity Influences Electrical Conductivity of Biofilm Anode.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 127: 230-238, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379483",
      "keyword": [
        "Microbial electrochemical cell",
        "Electrical conductivity",
        "Biofilm anode",
        "Geobacter"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "MEC-microbial activity_pH-MMXC_Illumina results_tables.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379483/MEC-microbial%20activity_pH-MMXC_Illumina%20results_tables.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEC-microbial activity_pH-MMXC_taxonomy summary.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379483/MEC-microbial%20activity_pH-MMXC_taxonomy%20summary.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1016/j.watres.2017.10.028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrated cell culture RT quantitative PCR and UV disinfection dataset",
      "description": "This dataset includes the standard curves for ICCRTqPCR to convert the assay quantities to the concentrations of infectious viruses and all the calculations on inactivation rate constants. Also, all the figures used in the manuscripts are presented. \n\nThis dataset is associated with the following publication:\nRyu, H., K. Schrantz, N. Brinkman, and L. Boczek. Applicability of integrated cell culture reverse transcriptase quantitative PCR (ICC-RTqPCR) for the simultaneous detection of the four human enteric enterovirus species in disinfection studies.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 258: 35-40, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1422043",
      "keyword": [
        "multiplex integrated cell culture quantitative PCR",
        "enteroviruses",
        "UV disinfection"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "ICCRTqPCR_Enterovirus_UV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422043/ICCRTqPCR_Enterovirus_UV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-06",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2018.05.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HTMLS of Spatial Stream Network Modeling to Predict Total Phosphorus Concentration in the East Fork of the Little Miami River, Ohio",
      "description": "These files contain data for relating stream total phosphorus concentration, a nutrient, to land cover and land use variables in the East Fork of the Little Miami River watershed near Cincinnati, Ohio.  Water quality grab samples were collected from June 26, 2012 to September 11, 2012, and total phosphorus concentrations were measured on those samples.  The files in the jawr12543-sup-002-R_code_and outputs folder are htmls, which can be opened with any browser to view the data and work flow of the data analysis.  The files in the jawr12543-sup-003-SSN_file_objects contains the dataset as an R object, which can be opened in the open-source R software. \n\nThis dataset is associated with the following publication:\nScown, M., M. McManus, J. Carson, and C. Nietch. Improving predictive models of in-stream phosphorus based on nationally-available spatial data coverages in a Southwestern Ohio watershed.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 53(4): 944-960, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1415037",
      "keyword": [
        "spatial data",
        "stream networks",
        "spatial statistical network model",
        "phosphorus",
        "spatial autocorrelation"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "jawr12543-sup-0002-R_code_and_outputs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1415037/jawr12543-sup-0002-R_code_and_outputs.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "jawr12543-sup-0003-SSN_file_objects.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1415037/jawr12543-sup-0003-SSN_file_objects.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-26",
      "references": [
        "https://doi.org/10.1111/1752-1688.12543"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1415037/documents/DataDictionary_SpatialStreamNetworkModeling_EastForkLittleMiamiRiver.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary Material for \"The Effects of Source Water Quality on Drinking Water Treatment Costs: A Review and Synthesis of Empirical Literature\"",
      "description": "Characteristics of 24 studies that model drinking water treatment costs to source water quality. \n\nThis dataset is associated with the following publication:\nPrice, J., and M. Heberling. The Effects of Source Water Quality on Drinking Water Treatment Costs: A Review and Synthesis of Empirical Literature - Ecological Economics.   ECOLOGICAL ECONOMICS. Elsevier Science Ltd, New York, NY, USA, 151: 195-209, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407619",
      "keyword": [
        "literature review",
        "source water protection",
        "drinking water",
        "treatment costs",
        "economics"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "TreatmentCosts&WQReview_SupplementaryMaterial.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407619/TreatmentCosts%26WQReview_SupplementaryMaterial.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-23",
      "references": [
        "https://doi.org/10.1016/j.ecolecon.2018.04.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for a PPAR-alpha dependence of developmental effects of PFNA in mouse.",
      "description": "Perfluorononanoic acid (PFNA) is one of the perfluoroalkyl acids found in the environment and in tissues of humans and wildlife. Prenatal exposure to PFNA negatively impacts survival and development of mice and activates the mouse and human peroxisome proliferator-activated receptor-alpha (PPARα). In the current study, we used PPARα knockout (KO) and 129S1/SvlmJ wild-type (WT) mice to investigate the role of PPARα in mediating PFNA-induced in vivo effects. Pregnant KO and WT mice were dosed orally with water (vehicle control: 10 ml/kg), 0.83, 1.1, 1.5, or 2mg/kg PFNA on gestational days (GDs) 1−18 (day of sperm plug = GD 0). Maternal weight gain, implantation, litter size, and pup weight at birth were unaffected in either strain. PFNA exposure reduced the number of live pups at birth and survival of offspring to weaning in the 1.1 and 2 mg/kg groups in WT. Eye opening was delayed (mean delay 2.1 days) and pup weight at weaning was reduced inWT pups at 2mg/kg. These developmental endpoints were not affected in the KO. Relative liver weight was increased in a dose-dependent manner in dams and pups of theWT strain at all dose levels but only slightly increased in the highest dose group in the KO strain. In summary, PFNA altered liver weight of dams and pups, pup survival, body weight, and development in the WT, while only inducing a slight increase in relative liver weight of dams and pups at 2mg/kg in KO mice. These results suggest that PPARα is an essential mediator of PFNA-induced developmental toxicity in the mouse. \n\nThis dataset is associated with the following publication:\nAbbott, B., C. Wolf, J. Schmid, C. Lau, and R. Zehr. Developmental Effects of Perfluorononanoic Acid in the Mouse Are Dependent on Peroxisome Proliferator-Activated Receptor-alpha..   PPAR research. Hindawi Publishing Corporation, New York, NY, USA,  1-11, (2010).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1435034",
      "keyword": [
        "Developmental Toxicity",
        "PPAR-alpha",
        "PFNA",
        "PFAA",
        "perfluoroalkyl acids"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Wolf et al 2010 SciHub Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435034/Wolf%20et%20al%202010%20SciHub%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2010-03-17",
      "references": [
        "https://doi.org/10.1155/2010/282896"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental Monitoring and Assessment Program (1990-1998), National Coastal Assessment (2000-2006), National Aquatic Resource Surveys (2000-2015)",
      "description": "These data are from EPA's national coastal monitoring programs and include data from the water column, sediments, and biota, 1990-2015. \n\nThis dataset is associated with the following publication:\nHale, S., H. Buffum, J. Kiddon, and M. Hughes. Subtidal Benthic Invertebrates Shifting Northward Along the U.S. Atlantic Coast.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 40(6): 1744-1756, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500437",
      "keyword": [
        "benthic invertebrates",
        "species’ range shifts",
        "U.S. Atlantic coast",
        "Carolinian Biogeographic Province",
        "Virginian Biogeographic Province"
      ],
      "contactPoint": {
        "fn": "Stephen Hale",
        "hasEmail": "mailto:hale.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://archive.epa.gov/emap/archive-emap/web/html/index-21.html",
          "accessURL": "https://archive.epa.gov/emap/archive-emap/web/html/index-21.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://archive.epa.gov/emap/archive-emap/web/html/index-124.html",
          "accessURL": "https://archive.epa.gov/emap/archive-emap/web/html/index-124.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-31",
      "references": [
        "https://doi.org/10.1007/s12237-017-0236-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Traffic Density Parameters",
      "description": "The complete data sets and programs used for data analysis were combined into one zip file. \n\nThis dataset is associated with the following publication:\nLiu , S., J. Burke , F. Chen , and J. Xue. Evaluation of Traffic Density Parameters as an Indicator of Vehicle Emission-Related Near-Road Air Pollution: A Case Study with NEXUS Measurement Data on Black Carbon.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 14(12): 1581, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434295",
      "keyword": [
        "NEXUS",
        "air pollutant",
        "near-road",
        "traffic density",
        "vehicle emission",
        "Black Carbon",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Shi Liu",
        "hasEmail": "mailto:liu.shi@epa.gov"
      },
      "distribution": [
        {
          "title": "Mj_nexus.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434295/Mj_nexus.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-29",
      "references": [
        "https://doi.org/10.3390/ijerph14121581"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "On-road Emissions and Chemical Transformation of Nitrogen Oxides",
      "description": "On-road chase and PEMS measurement data while following traffic.  Time-averaged to assess the emission rate of the followed vehicle, including the presence of a PEMS to measure direct tailpipe exhaust. \n\nThis dataset is associated with the following publication:\nSnow, R., J. Faircloth, R. Baldauf, B. Yand, M. Zhang, P. Deshmukh, and X. Zhang. On-road Emissions and Chemical Transformation of Nitrogen Oxides.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA,  22, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407590",
      "keyword": [
        "chase measurement",
        "PEMS",
        "traffic",
        "nitrogen oxides",
        "emissions",
        "on-road"
      ],
      "contactPoint": {
        "fn": "Richard Baldauf",
        "hasEmail": "mailto:baldauf.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure2b_Right_Daytime East Dominated Wind Net NO2 over 5 ppb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407590/Figure2b_Right_Daytime%20East%20Dominated%20Wind%20Net%20NO2%20over%205%20ppb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-07",
      "references": [
        "https://doi.org/10.1021/acs.est.7b05648"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using methods development efforts ongoing within NRMRL, NERL, and Regional labs, the concentrations of polyfluorinated chemicals",
      "description": "Concentrations of polyfluorinated chemicals in drinking water from homes. \n\nThis dataset is associated with the following publication:\nDasu, K., S. Nakayama, M. Yoshikane, M. Mills, J.M. Wright, and S. Ehrlich. An Ultra-Sensitive Method for the Analysis of Perfluorinated Alkyl Acids in Drinking Water using a Column Switching High-Performance Liquid Chromatography Tandem Mass Spectrometry.  M.C. Breadmore, J.G. Dorsey, P. Dugo, S. Fanali  JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1494: 46-54, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407671",
      "keyword": [
        "Column-switching HPLC",
        "drinking water",
        "Perfluorinated alkyl acids",
        "Solid phase extraction"
      ],
      "contactPoint": {
        "fn": "Marc Mills",
        "hasEmail": "mailto:mills.marc@epa.gov"
      },
      "distribution": [
        {
          "title": "Mills Dasu et al Science hub data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407671/Mills%20Dasu%20et%20al%20Science%20hub%20data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1016/j.chroma.2017.03.006",
          "accessURL": "https://doi.org/10.1016/j.chroma.2017.03.006",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-26",
      "references": [
        "https://doi.org/10.1016/j.chroma.2017.03.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://doi.org/10.1016/j.chroma.2017.03.006"
      },
      "accessRights": "public"
    },
    {
      "title": "Wanjugi et al 2016_Data Set",
      "description": "Decomposition data of bacterial and viral fecal indicators in common human pollution types. \n\nThis dataset is associated with the following publication:\nWanjugi, P., M. Sivaganesan, A. Korajkic, C. Kelty, B. McMinn, R. Ulrich, V. Harwood, and O. Shanks. Differential Decomposition of Bacterial and Viral Fecal Indicators in Common Human Pollution Types.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 105: 591-601, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407668",
      "keyword": [
        "human fecal pollution",
        "water quality",
        "qPCR",
        "Microbial Source Tracking",
        "coliphage"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Wanjugi etal 2016_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407668/Wanjugi%20etal%202016_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-05",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0043135416307187"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fort Riley Tensiometer Data",
      "description": "Tensiometers were installed a various depths and distances to monitor soil moisture tension. The installation was used to monitor subsurface water flow patterns from the storage gallery under the permeable pavement site. \n\nThis dataset is associated with the following publication:\nRazzaghmanesh, M., and M. Borst. Monitoring the performance of urban green infrastructure using a tensiometer approach.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 651: 2535-2545, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500904",
      "keyword": [
        "Tensiometer",
        "Exfiltration",
        "sidewalls",
        "permeable pavement",
        "stormwater control"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Fort Riley Tensiometer Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500904/Fort%20Riley%20Tensiometer%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-30",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.10.120"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cylindrospermopsin 90-day oral route toxicology study",
      "description": "General toxicology, clinical chemistry, complete blood counts, histopathology, gene expression. \n\nThis dataset is associated with the following publication:\nChernoff, N., D. Hill, I. Chorus, D. Diggs, H. Huang, D. King, J. Lang, T. Le, J. Schmid, G. Travlos, E. Whitley, R. Wilson, and C. Wood. Cylindrospermopsin toxicity in mice following a 90-d oral exposure.   ENVIRONMENTAL TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  549-566, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1375219",
      "keyword": [
        "cylindrospermopsin",
        "algal toxin",
        "cyanobacterial toxin",
        "oral exposure",
        "90-day study",
        "liver toxicity",
        "kidney toxicity"
      ],
      "contactPoint": {
        "fn": "Neil Chernoff",
        "hasEmail": "mailto:chernoff.neil@epa.gov"
      },
      "distribution": [
        {
          "title": "Combined data sets .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375219/Combined%20data%20sets%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-30",
      "references": [
        "https://doi.org/10.1080/15287394.2018.1460787"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1375219/documents/Data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "HESI_Biocrates_TMT_2017",
      "description": "Biocrates metabolomics data for cerebrospinal fluid, serum, plasma, and urine from rats dosed with trimethyl tin at 2, 6, 10, or 14 days after treatmetn. \n\nThis dataset is associated with the following publication:\nImam, S., Z. He, E. Cuevas, H. Rosas-Hernandez, S. Lantz, S. Sarkar, J. Raymick, B. Robinson, J. Hanig, D. Herr, D. MacMillan, A. Smith, S. Liachenko, S. Ferguson, J. O'Callaghan, D. Miller, C. Somps, I. Pardo, W. Slikker, J. Pierson, R. Roberts, B. Gong, W. Tong, M. Aschner, M.J. Kallman, D. Calligaro, and M. Paule. Changes in the metabolome and microRNA levels in biological fluids might represent biomarkers of neurotoxicity: A trimethyltin study.   Experimental Biology and Medicine. SAGE Publications, THOUSAND OAKS, CA, USA, 243(3): 228-236, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376677",
      "keyword": [
        "Biocrates",
        "neurotoxicity",
        "biomarker",
        "metabolomics",
        "trimethyltin"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HESI_Biocrates_2017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376677/HESI_Biocrates_2017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-22",
      "references": [
        "https://doi.org/10.1177/1535370217739859"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Application of a Highly Purified Rat Leydig Cell Assay as a Complement to the H295R Steroidogenesis Assay to Evaluate Toxicant Induced Alterations in Testosterone Production",
      "description": "The greater dynamic range of testosterone production in a highly purified rat Leydig cell assay permitted the detection of chemical induced inhibition that was not detected by the high throughput screening format of the H295R steroidogenesis assay.  This dataset is associated with ORD-022468 entered in STICS. \n\nThis dataset is associated with the following publication:\nBotteri Principato, N., J. Suarez, S. Laws, and G. Klinefelter. The Use of Purified Rat Leydig Cells Complements the H295R Screen to Detect Chemical Induced Alterations in Testosterone Production.   BIOLOGY OF REPRODUCTION. Society for the Study of Reproduction,    98(2): 239-249, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378085",
      "keyword": [
        "Endocrine Disruptors",
        "cell culture",
        "testosterone",
        "testis",
        "gonadal steroids",
        "male infertility",
        "steroidogenesis",
        "Leydig cell assay",
        "2nd Tier screen"
      ],
      "contactPoint": {
        "fn": "Gary Klinefelter",
        "hasEmail": "mailto:klinefelter.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "manuscript figures 6-2-17.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378085/manuscript%20figures%206-2-17.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-16",
      "references": [
        "https://doi.org/10.1093/biolre/iox177"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Table for Figures",
      "description": "This excel file contains 7 tabs, each tabs contains the data for one specific figure in the paper. Description of the data and column names is also provided in each tab. \n\nThis dataset is associated with the following publication:\nWang, J., D. Hallinger, A. Murr, A. Buckalew, S. Simmons, S. Laws, and T. Stoker. High-Throughput Screening and Quantitative Chemical Ranking for Sodium Iodide Symporter Inhibitors in ToxCast Phase 1 Chemical Library.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(9): 5417-5426, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1389586",
      "keyword": [
        "Sodium Iodide Symporter",
        "thyroid",
        "endocrine disruptor",
        "high-throughput in vitro screening assay"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "NIS ph1 dataset for science-hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389586/NIS%20ph1%20dataset%20for%20science-hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-25",
      "references": [
        "https://doi.org/10.1021/acs.est.7b06145"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sediment Porewater Data Set",
      "description": "The data set contains a summary of all measurements that were collected at the cottage grove\nreservoir over the time period of the study. \n\nThis dataset is associated with the following publication:\nEckley, C., T. Luxton, J. Goetz, and J. McKernan. Water-level fluctuations influence sediment porewater chemistry and methylmercury production in a flood-control reservoir..  David Carpenter, and Eddy Zeng  ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 222: 32-41, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502433",
      "keyword": [
        "mercury",
        "methylmercury",
        "reservoir",
        "porewater",
        "mercury methylation",
        "dissolved organic carbon"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "CGR Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502433/CGR%20Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-20",
      "references": [
        "https://doi.org/10.1016/j.envpol.2017.01.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting Potential Human Health Risk with the Tox21 10k Library",
      "description": "This study represents the first report applying IVIVE approaches and exposure comparisons using the entirety of the Tox21 federal collaboration chemical screening data, incorporating assay response efficacy and quality of concentration-response fits, and providing quantitative anchoring to first address the likelihood of human in vivo interactions with Tox21 compounds. This likelihood was assessed using a maximum blood concentration to in vitro response ratio approach (Cmax/AC50), analogous to decision-making methods for clinical drug-drug interactions. Fraction unbound in plasma (fup) and intrinsic hepatic clearance (CLint) parameters were estimated in silico and incorporated in a 3-compartment toxicokinetic (TK) model to first predict Cmax for in vivo corroboration using therapeutic scenarios. \n\nThis dataset is associated with the following publication:\nSipes, N., J. Wambaugh, R. Pearce, S. Auerbach, B. Wetmore, J. Hsieh, A. Shapiro, D. Sboboda, M. DeVito, and S. Ferguson. (ENVIRONMENTAL SCIENCE and TECHNOLOGY) An Intuitive Approach for Predicting Human Risk with the Tox21 10k Library.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, issue}: 10786-10796, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395143",
      "keyword": [
        "in vitro to in vivo extrapolation (IVIVE)",
        "high throughput toxicokinetics",
        "httk",
        "IVIVE",
        "Tox21",
        "High throughput screening",
        "HTS",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information_EST_FINAL_18JUL2017.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395143/Supporting%20Information_EST_FINAL_18JUL2017.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395143/Table%20S1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395143/Table%20S2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395143/Table%20S3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ntp.niehs.nih.gov/sandbox/ivive/",
          "accessURL": "https://ntp.niehs.nih.gov/sandbox/ivive/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-19",
      "references": [
        "https://doi.org/10.1021/acs.est.7b00650",
        "https://ntp.niehs.nih.gov/sandbox/ivive/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Triclosan Hershberger H295 data",
      "description": "Triclosan data from Hershberger experiment using castrated male rats.  Data includes accessory sex tissue mean weights and thyroid gland weight following exposure to triclosan for 10 days both with and without testosterone stimulation.  Also included are the thyroxine hormone means in these males.  In addition, mean data on the in vitro adrenocortical cells for steroid hormone production (testosterone and estradiol) with a dose response of triclosan. \n\nThis dataset is associated with the following publication:\nFarmer, W., G. Louis, A. Buckalew, D. Hallinger, and T. Stoker. Evaluation of Triclosan in the Hershberger and H295R Steroidogenesis Assays.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA,  194-199, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407648",
      "keyword": [
        "Hershberger",
        "endocrine",
        "steroids",
        "thryoid hormone",
        "androgen",
        "estrogen",
        "Triclosan"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubDataforTriclosan Hershberger Paper Final 1.29.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407648/ScienceHubDataforTriclosan%20Hershberger%20Paper%20Final%201.29.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2018.03.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for manuscript \"Mixed “anti-androgenic” chemicals at low individual doses produces reproductive tract malformations in the male rat\"",
      "description": "Dataset contains summary data (mean, standard error, sample size (n)) for all measured endpoints reported and depicted in the corresponding manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, M. Cardon, J. Furr, V. Wilson, and E. Gray. Mixed “antiandrogenic” chemicals at low individual doses produce reproductive tract malformations in the male rat.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  164(1): 166-178, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1408091",
      "keyword": [
        "anti-androgens",
        "chemical mixtures",
        "Birth Defects",
        "in utero effects on reproductive development",
        "pesticides",
        "Phthalates"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "ConleyJustin_Dataset_A-73ng_20171108.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408091/ConleyJustin_Dataset_A-73ng_20171108.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1408091/documents/ConleyJustin_A-73ng_Dataset_Dictionary_20171108.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Building downwash large eddy simulations",
      "description": "This data set is associated with the results found in the journal article: Foroutan et al, 2018. Numerical analysis of pollutant dispersion around elongated buildings: an embedded large eddy simulation approach. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2018.05.053. \nThe objective of the paper is to employ a scale-resolving turbulence model, namely the embedded LES (ELES), to study near-field pollutant dispersion around elongated/rotated buildings. It includes the evaluation of the ELES performance against wind tunnel measurements, as well as the analysis of the computational results for various source-building geometries while emphasizing the aspects important for dispersion modeling. \n\nThis dataset is associated with the following publication:\nForoutan, H., W. Tang, D. Heist, S. Perry, L. Brouwer, and E. Monbureau. Numerical analysis of pollutant dispersion around elongated buildings: An embedded large eddy simulation approach.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 187: 117-130, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434501",
      "keyword": [
        "Pollutant dispersion",
        "building downwash",
        "Large Eddy Simulation",
        "CFD"
      ],
      "contactPoint": {
        "fn": "Hosein Foroutan",
        "hasEmail": "mailto:foroutan.hosein@epa.gov"
      },
      "distribution": [
        {
          "title": "ForoutanHosein_A-f7md_DataFiles_20180605.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434501/ForoutanHosein_A-f7md_DataFiles_20180605.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-05",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.05.053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434501/documents/ForoutanHosein_A-f7md_DataDictionary_20180605.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "FL estuaries RESTORE",
      "description": "light attenuation data within NW Florida estuaries during 2009-2013. \n\nThis dataset is associated with the following publication:\nConmy, R., B. Schaeffer, J. Schubauer-Berigan, J. Aukamp, A. Duffy, J. Lehrter, and R. Greene. Characterizing light attenuation within Northwest Florida Estuaries: Implications for RESTORE Act water quality monitoring.  Charles Sheppard, Francois Galgani, Pat Hutchings, and Victor Quintino  MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 114(2): 995-1006, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407617",
      "keyword": [
        "light attenutation",
        "Florida estuaries",
        "water quality",
        "RESTORE Act"
      ],
      "contactPoint": {
        "fn": "Robyn Conmy",
        "hasEmail": "mailto:conmy.robyn@epa.gov"
      },
      "distribution": [
        {
          "title": "FL optics master sheet for conmy et al_2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407617/FL%20optics%20master%20sheet%20for%20conmy%20et%20al_2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-12",
      "references": [
        "http://www.sciencedirect.com/science/journal/0025326X/114/2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Great Lakes Proxies Project",
      "description": "This dataset includes five ESRI ArcMap shapefiles to provide metadata for those shapefiles. Additional, within the attribute table of  each shapefile is a data field titled \"SHP_Source\" that provides a brief description of the public data sources used to create the shapefile. These data include aquatic non-native species presence in waters of the Laurentian Great Lakes, US and Canadian population for urban areas around the Great Lakes, locations of marinas and ports in the Great Lakes, and data on maritime commerce within the Great Lakes. \n\nThis dataset is associated with the following publication:\nO'Malia, E., L. Johnson, and J. Hoffman. Pathways and places associated with nonindigenous aquatic species introductions in the Laurentian Great Lakes.   HYDROBIOLOGIA. Springer, New York, NY, USA, 817(1): 23-40, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1395247",
      "keyword": [
        "Great Lakes",
        "non-indigenous aquatic species",
        "biomonitoring",
        "early detection"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-4qrn_Dataset_20170927.Zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395247/HoffmanJoel_A-4qrn_Dataset_20170927.Zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shapefile Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395247/Shapefile%20Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Maritime Commerce Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395247/Maritime%20Commerce%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-02-01",
      "references": [
        "https://doi.org/10.1007/s10750-018-3551-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2017_Prediction_of_H295R_steroidogenesis_Pathway_Perturbation",
      "description": "The objectives of this work were to: 1) develop an integrated analysis of chemical-mediated effects on steroidogenesis in the HT-H295R assay; and, 2) evaluate whether the HT-H295R assay predicts estrogen and androgen production specifically via comparison with the OECD-validated H295R assay. \n\nThis dataset is associated with the following publication:\nHaggard, D., A. Karmaus, M. Martin, R. Judson, W. Setzer, and K. Paul-Friedman. (Toxicological Sciences) High-throughput H295R steroidogenesis assay: utility as an alternative and a statistical approach to characterize effects on steroidogenesis.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  162(2): 509-534, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407003",
      "keyword": [
        "EDSP21",
        "ToxCast",
        "steroidogenesi",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Haggard/2017_Prediction_of_H295R_steroidogenesis_Pathway_Perturbation/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Haggard/2017_Prediction_of_H295R_steroidogenesis_Pathway_Perturbation/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-ToxCast-EDSPsteroidogenesis",
          "accessURL": "https://github.com/USEPA/CompTox-ToxCast-EDSPsteroidogenesis",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx274"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Read_Across_Prediction_of_Estrogenicity_for_Hindered_Phenols_2017_Data",
      "description": "Read-across is an important data gap filling technique used within category and analog approaches for regulatory hazard identification and risk assessment. Although much technical guidance is available that describes how to develop category/analog approaches, practical principles to evaluate and substantiate analog validity (suitability) are still lacking. This case study uses hindered phenols as an example chemical class to determine: (1) the capability of three structure fingerprint/descriptor methods (PubChem, ToxPrints and MoSS MCSS) to identify analogs for read-across to predict Estrogen Receptor (ER) binding activity and, (2) the utility of data confidence measures, physicochemical properties, and chemical R-group properties as filters to improve ER binding predictions. The training dataset comprised 462 hindered phenols and 257 non- hindered phenols. For each chemical of interest (target), source analogs were identified from two datasets (hindered and non-hindered phenols) that had been characterized by a fingerprint/descriptor method and by two cut-offs: (1) minimum similarity distance (range: 0.1 - 0.9) and, (2) N closest analogs (range: 1 - 10). Analogs were then filtered using: (1) physicochemical properties of the phenol (termed global filtering) and, (2) physicochemical properties of the R-groups neighboring the active hydroxyl group (termed local filtering). A read-across prediction was made for each target chemical on the basis of a majority vote of the N closest analogs. The results demonstrate that: (1) concordance in ER activity increases with structural similarity, regardless of the structure fingerprint/descriptor method, (2) increased data confidence significantly improves read-across predictions, and (3) filtering analogs using global and local properties can help identify more suitable analogs. This case study illustrates that the quality of the underlying experimental data and use of endpoint relevant chemical descriptors to evaluate source analogs are critical to achieving robust read-across predictions. \n\nThis dataset is associated with the following publication:\nPradeep, P., K. Mansouri, G. Patlewicz, and R. Judson. (Computational Toxicology) A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 22-30, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407005",
      "keyword": [
        "Read-across",
        "Estrogen Receptor binding",
        "analog identification",
        "ToxCast",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Pradeep%20Hindered%20Phenols%202017/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Pradeep%20Hindered%20Phenols%202017/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1016/j.comtox.2017.09.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Validation of an automated counting procedure for phthalate-induced testicular multinucleated germ cells",
      "description": "the dataset contains NHEERL collected data on fetal male rat gestational day 18 testicular testosterone production and related data. \n\nThis dataset is associated with the following publication:\nspade, d., C. Yue Bai , C. Lambright, J. Conley, K. Boekelheide , and E. Gray. Validation of an automated counting procedure for phthalate-induced testicular multinucleated germ cells.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 290: 55-61, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1408099",
      "keyword": [
        "Phthalates",
        "automated high throughput methods",
        "testis pathology",
        "androgen signaling AOP network"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "119 105 MNG BLOCKS T PROD SAS ANALYSIS used in spade manuscript and added to Science Hub 12 11 2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408099/119%20105%20MNG%20BLOCKS%20T%20PROD%20SAS%20ANALYSIS%20used%20in%20spade%20manuscript%20and%20added%20to%20Science%20Hub%2012%2011%202017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-06",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2018.03.018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chromatographic_Retention_Time_Prediction_Models_TALANTA_Data",
      "description": "This paper compares the relative predictive ability and applicability to NTA workflows of three RT prediction models: (1) a logP (octanol-water partition coefficient)-based model using EPI SuiteTM logP predictions; (2) a commercially available ACD/ChromGenius model; and, (3) a newly developed Quantitative Structure Retention Relationship model called OPERA-RT. \n\nThis dataset is associated with the following publication:\nMcEachran, A., K. Mansouri, S. Newton, B. Beverly, J. Sobus, and A. Williams. (TALANTA) A comparison of three liquid chromatography (LC) retention time prediction models.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 182: 371-379, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407009",
      "keyword": [
        "DSSTox",
        "non-targeted analysis (NTA)",
        "high-performance liquid chromatography (HPLC)",
        "retention time(RT)",
        "Quantitative Structure-Retention Relationship (QSRR)",
        "Chemistry Dashboard",
        "dashboards"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/McEachran_A/RT_Prediction_2018/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/McEachran_A/RT_Prediction_2018/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-03",
      "references": [
        "https://doi.org/10.1016/j.talanta.2018.01.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fitzpatrick_Jeremy_Skin_Sensitization_Data",
      "description": "Allergic contact dermatitis (ACD) is estimated to constitute about 10-15% of all occupational diseases. Predictive testing to characterise substances for their skin sensitisation potential has historically been based on animal models such as the Local Lymph Node Assay (LLNA) and the Guinea Pig Maximisation Test (GPMT). In recent years, EU regulations, have provided a strong incentive to develop non-animal alternatives.  Significant progress has been made in developing and evaluating non-animal test methods. There have been efforts to develop and evaluate the utility of in silico models for skin sensitisation including local and global (Q)SARs as well as expert systems. In this study, we selected three different types of expert systems: VEGA (statistical), Derek Nexus (knowledge based), TIMES-SS (hybrid) and evaluated their performance using 2 large datasets of substances that had been assessed for their skin sensitisation potential in animal models. We considered a model to be successful at predicting skin sensitisation potential if it had at least the same balanced accuracy as the LLNA and the GPMT had in predicting the outcomes of one another, which ranged from 79% to 86% depending on the dataset.  We found that none of the expert systems evaluated was able to achieve such a high balanced accuracy in their global predictions, with balanced accuracies ranging from 56% to 65%.  However, for substances within the domain of TIMES-SS, balanced accuracies were found to be 79% and 82%, for the two datasets, in line with the animal data. The expert systems evaluated could be extended in light of the additional data collected as part of this study. The incorrect predictions offer new insights for how the existing alerts within these expert systems could be refined. These datasets also offer exciting opportunities for the development of new models. \n\nThis dataset is associated with the following publication:\nFitzpatrick, J., D. Roberts, and G. Patlewicz. (SAR and QSAR in ENVIRONMENTAL RESEARCH) An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 29(6): 439-468, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1427471",
      "keyword": [
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/PatlewiczGrace/Fitzpatrick_Evaluation_Of_QSARs_for_Predicting_Skin_Sensitisation_Potential/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/PatlewiczGrace/Fitzpatrick_Evaluation_Of_QSARs_for_Predicting_Skin_Sensitisation_Potential/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1080/1062936x.2018.1455223"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Illumina sequencing",
      "description": "These data are bacterial 16S rRNA sequences and a taxonomic summary table for biofilm samples from the bio-reactors. The data may provide background/supporting information for other researchers who have a similar experimental plan with a microbial electrochemical cell reactor. \n\nThis dataset is associated with the following publication:\nSantodomingo, J., H. Lee, B. Dhar, J. An, B. Rittmann, H. Ren, and J. Chae. The Roles of Biofilm Conductivity and Donor Substrate Kinetics in a Mixed-Culture Biofilm Anod.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(23): 12799-12807, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500924",
      "keyword": [
        "biofilm conductivity",
        "Donor Substrate Kinetics",
        "Biofilm anode",
        "Illumina sequencing"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "biofilm conductivity kinetics_fasta.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500924/biofilm%20conductivity%20kinetics_fasta.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "biofilm conductivity kinetics_Table 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500924/biofilm%20conductivity%20kinetics_Table%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "biofilm conductivity kinetics_muthur analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500924/biofilm%20conductivity%20kinetics_muthur%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-05",
      "references": [
        "https://doi.org/10.1021/acs.est.6b04168"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Clades of Candidatus Accumulibacter phosphatis enriched under cyclic anaerobic and microaerobic conditions",
      "description": "Rates of reactor performance, and relative abundance of the different molecular groups found. \n\nThis dataset is associated with the following publication:\nCamejo, P., B. Owen, J. Martirano, J. Ma, V. Kapoor, J. Santodomingo, K. McMahon, and D. Noguera. Clades of Candidatus Accumulibacter phosphatis enriched under cyclic anaerobic and microaerobic conditions simultaneously use different electron acceptors.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 102: 125-137, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502459",
      "keyword": [
        "phosphate accumulation",
        "low dissolve oxygen",
        "water and wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "OTU_abundance_LS-SBR.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502459/OTU_abundance_LS-SBR.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OTU_abundance_PS-SBR.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502459/OTU_abundance_PS-SBR.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Camejo-et.al-2016-Fig. 5-RawData Accumulibacter.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502459/Camejo-et.al-2016-Fig.%205-RawData%20Accumulibacter.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "qPCRSummary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502459/qPCRSummary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-28",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0043135416304699"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analysis of mitochondrail DNA sequences",
      "description": "Data for all the tables and figures on the frequency of haplotypes found in a tropical watershed contaminated with human fecal pollution. \n\nThis dataset is associated with the following publication:\nKapoor, V., M. Elk, C. Toledo-Hernandez, and J. Santodomingo. Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity.   AIMS Environmental Science. AIMS Press, Springfield, MO, USA, 4(3): 443-455, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502462",
      "keyword": [
        "fecal poillution",
        "Microbial Source Tracking",
        "Mitochondria"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "20samples_0.05_Haplotypes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502462/20samples_0.05_Haplotypes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-18",
      "references": [
        "https://doi.org/10.3934/environsci.2017.3.443"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Copper Silver Ionization at a hospital dataset",
      "description": "Temperature, pH, chlorine, copper and silver levels at a hospital employing copper-silver ionization to control Legionella bacteria. \n\nThis dataset is associated with the following publication:\nTriantafyllidou, S., D. Lytle, C. Muhlen, and J. Swertfeger. Copper-silver ionization at a US hospital: interaction of treated drinking water with plumbing materials, aesthetics and other considerations.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 102: 1-10, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502466",
      "keyword": [
        "copper silver ionization",
        "cold water",
        "hot water",
        "reduced silver",
        "copper pipe",
        "porcelain staining"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub CSI Upload.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502466/SciHub%20CSI%20Upload.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-03",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0043135416304468"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transport of carbon nanotube-magnetite nanohybrids in water-saturated porous media",
      "description": "Our data can be used by modeler to develop mathematical models to simulate and predict the fate and transport of the next-generation multifunctional carbon-based metal oxide nanohybrids in the subsurface environments. Furthermore, the data can also be employed to assess the potential environmental impacts and risks associated with the release and transport of carbon-based metal oxide nanohybrids in the subsurface under environmentally relevant physicochemical conditions. \n\nThis dataset is associated with the following publication:\nWang, D., C. Park, A. Masud, N. Aich, and C. Su. Carboxymethylcellulose Mediates the Transport of Carbon Nanotube-Magnetite Nanohybrid Aggregates in Water-Saturated Porous Media.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51: 12405-12415, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1414830",
      "keyword": [
        "Carbon—metal oxide nanohybrids",
        "fate and transport",
        "In situ nanoremediation"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Wang Su ES&T Paper_2017.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1414830/Data_Wang%20Su%20ES%26T%20Paper_2017.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-26",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Utilization of water utility lime sludge for flue gas desulfurization in coal-fired power plants: Part I. Supply-demand evaluation and life cycle assessment",
      "description": "The dataset contains all Tables and Figures in Excel spreadsheets. \n\nThis dataset is associated with the following publication:\nSalih, H., C. Patterson, J. Li, J. Mock, and S. Dastgheib. Utilization of water utility lime sludge for flue gas desulfurization in coal-fired power plants: Part I. Supply-demand evaluation and life cycle assessment.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 32(6): 6627-6633, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435433",
      "keyword": [
        "Flue Gas Desulfurization",
        "limestone",
        "lime sludge",
        "life cycle assessment",
        "environmental impact assessment",
        "mercury re-emission"
      ],
      "contactPoint": {
        "fn": "Craig Patterson",
        "hasEmail": "mailto:patterson.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "Data of Tables and Figures - Part 1 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435433/Data%20of%20Tables%20and%20Figures%20-%20Part%201%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.8b00823"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reuse of water utility lime sludge for flue gas desulfurization in coal-fired power plants: Part II. Lime sludge characterization and mercury reemission",
      "description": "The dataset contains all Tables and Figures in Excel spreadsheets. \n\nThis dataset is associated with the following publication:\nDastgheib, S., H. Salih, J. Li, and C. Patterson. Utilization of Water Utility Lime Sludge for Flue Gas Desulfurization in Coal-Fired Power Plants: Part II. Lime Sludge Characterization and Mercury Re-emission.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 32(6): 6634-6640, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435434",
      "keyword": [
        "Flue Gas Desulfurization",
        "limestone",
        "lime sludge",
        "life cycle assessment",
        "environmental impact assessment",
        "mercury re-emission"
      ],
      "contactPoint": {
        "fn": "Craig Patterson",
        "hasEmail": "mailto:patterson.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "Data of Tables and Figures - Part 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435434/Data%20of%20Tables%20and%20Figures%20-%20Part%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.8b00824"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Three-dimensional Free Chlorine and Monochloramine Biofilm Penetration Correlating Penetration with Biofilm Activity and Viability",
      "description": "Data for manuscript figures. \n\nThis dataset is associated with the following publication:\nLee, W.H., J. Pressman, and D. Wahman. Three-dimensional Free Chlorine and Monochloramine Biofilm Penetration: Correlating Penetration with Biofilm Activity and Viability.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(4): 1889-1898, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1402417",
      "keyword": [
        "microelectrode"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Three-dimensional Free Chlorine and Monochloramine Biofilm Penetration Correlating Penetration with Biofilm Activity and Viability.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1402417/Three-dimensional%20Free%20Chlorine%20and%20Monochloramine%20Biofilm%20Penetration%20Correlating%20Penetration%20with%20Biofilm%20Activity%20and%20Viability.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-07",
      "references": [
        "https://doi.org/10.1021/acs.est.7b05215"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adult FHM liver gene expression - treated with EE2",
      "description": "Male adult FHM liver treated with EE2 - gene expresssion - Agilent-036574 FHM_8x60K_V2 array design. \n\nThis dataset is associated with the following publication:\nFeswick, A., M. Isaacs, A. Biales, R. Flick, D. Bencic, R. Wang, C. Vulpe, M. Brown-Augustine, A. Loguinov, F. Falciani, P. Antczak, J. Herbert, L. Brown, N. Denslow, K. Kroll, C. Lavelle, V. Dang, L. Escalon, N. Garcia-Reyero, C. Martyniuk, and K. Munkittrick. How consistent are we? Interlaboratory comparison study in fathead minnows using the model estrogen 17α‐ethinylestradiol to develop recommendations for environmental transcriptomics.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(10): 2614-2623, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407570",
      "keyword": [
        "microarray",
        "fathead minnow",
        "gene expression"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/gds/?term=GSE70807%5BAccession%5D",
          "accessURL": "https://www.ncbi.nlm.nih.gov/gds/?term=GSE70807%5BAccession%5D",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-07",
      "references": [
        "https://doi.org/10.1002/etc.3799"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anaerobic biodegradation",
      "description": "Data in these tables appear in the manuscript and were used to produce the published figures. \n\nThis dataset is associated with the following publication:\nWu, S., M. Yassine, M. Suidan, and A. Venosa. Anaerobic Biodegradation of soybean biodiesel and diesel blends under sulfate-reducing conditions.  Jacob de Boer, Shane Snyder  CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 161: 382-389, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407618",
      "keyword": [
        "anaerobic biodegradation",
        "biodiesel",
        "diesel"
      ],
      "contactPoint": {
        "fn": "David Kozlowski",
        "hasEmail": "mailto:kozlowski.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Wu et al 2016 soybean dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407618/Wu%20et%20al%202016%20soybean%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.06.078"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ozone hourly data at four monitoring sites",
      "description": "contains hourly ozone and meteorological data. \n\nThis dataset is associated with the following publication:\nSchliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal processes for modeling threshold exceedances and durations.   Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 32(2): 401-417, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390106",
      "keyword": [
        "Ozone",
        "ozone exceedances",
        "frequency and duration of exceedances",
        "NAAQS"
      ],
      "contactPoint": {
        "fn": "David Holland",
        "hasEmail": "mailto:holland.david@epa.gov"
      },
      "distribution": [
        {
          "title": "EPAdataCSV.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390106/EPAdataCSV.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-04",
      "references": [
        "https://doi.org/10.1007/s00477-017-1417-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sediment accretion and accumulation of P, N and organic C in depressional wetlands of three ecoregions of the United States",
      "description": "Data used in the paper, Nitrogen Removal in Select Palustrine Isolated Wetlands of Three Ecoregions of the United States: Mid-Atlantic Coastal Plains, Erie Drift Plain, and Southern Coastal Plain: Marine and Freshwater Research http://dx.doi.org/10.1071/MF16372. \n\nThis dataset is associated with the following publication:\nLane, C., and B. Autrey. Sediment accretion and accumulation of P, N and organic C in depressional wetlands of three ecoregions of the United States.   Marine & Freshwater Research. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 68(12): 2253-2265, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1389608",
      "keyword": [
        "assimilation",
        "cesium/caesium"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Cesium_ResearchEffort_Data_A-x96p_08302017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389608/Cesium_ResearchEffort_Data_A-x96p_08302017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-30",
      "references": [
        "https://doi.org/10.1071/mf16372"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vivo PK Library for IVIVE Evaluation",
      "description": "We report on new, in vivo TK experiments in rats for 26 chemicals more commonly associated with non-therapeutic and/or unintentional exposure. These chemicals, and an additional 19 chemicals from previously published in vivo rat studies, were systematically analyzed to estimate relevant TK parameters (e.g., volume of distribution, elimination rate). Our analysis created a library of TK parameters for 38 chemicals for which rat-specific in vitro HTTK data were also available. \n\nThis dataset is associated with the following publication:\nWambaugh, J., M. Hughes, C. Ring, D. MacMillan, J. Ford, T. Fennell, S. Black, R. Snyder, N. Sipes, B. Wetmore, J. Westerhout, W. Setzer, R. Pearce, J. Simmons, and R. Thomas. Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(1): 152-169, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390274",
      "keyword": [
        "toxicokinetics",
        "in vitro to in vivo extrapolation (IVIVE)",
        "Analytical chemistry",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementalTables1-8.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/SupplementalTables1-8.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS9-InVivoData-2017-08-10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/TableS9-InVivoData-2017-08-10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS10-PropertiesandEstimates-2017-08-30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/TableS10-PropertiesandEstimates-2017-08-30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS11-TKSummaryStats-2017-08-30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/TableS11-TKSummaryStats-2017-08-30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FiguresS1-1compartment-Fittedgeometricmean-2017-08-29.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/FiguresS1-1compartment-Fittedgeometricmean-2017-08-29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FiguresS2-2compartment-Fittedgeometricmean-2017-08-29.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390274/FiguresS2-2compartment-Fittedgeometricmean-2017-08-29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling",
      "description": "Estimates of ionization equilibrium constants (i.e., pKa) were analyzed for 8,132 pharmaceuticals and 24,281 other compounds to which humans might be exposed in the environment. Results revealed broad differences in the ionization of pharmaceutical chemicals and chemicals with either near-field (in the home) or far-field sources. Probability distributions corresponding to ionizable atom types (IATs) were then used to analyze the sensitivity of predicted Vdss on predicted pKa using Monte Carlo methods. 8 of the 22 compounds were predicted to be ionizable. For 5 of the 8 the predictions based upon ionization are significantly different from what would be predicted for a neutral compound. For all but one (foramsulfuron), the probability distribution of predicted Vdss generated by IAT sensitivity analysis spans both the neutral prediction and the prediction using ionization. \n\nThis dataset is associated with the following publication:\nStrope, C., K. Mansouri, H. Clewell, J. Rabinowitz, C. Stevens, and J. Wambaugh. High-Throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 615: 150-160, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1391808",
      "keyword": [
        "ionization",
        "pKa",
        "physiologically-based pharmacokinetic model",
        "PBPK model",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "32k_fingerprints.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391808/32k_fingerprints.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "32k_pKa_prediction-20150414.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391808/32k_pKa_prediction-20150414.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PBPKxIon-20170918T145752Z-001-small.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391808/PBPKxIon-20170918T145752Z-001-small.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2017.09.033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw Measurements and Predicted Concentrations for Water Samples from Cape Fear Watershed (May - July 2017)",
      "description": "Measured and estimated concentrations of HFPO-DA and related perfluoroether compounds in the Cape Fear River as measured at multiple water treatment facilities in the watershed by QqQ LC-MS quantification. \n\nThis dataset is associated with the following publication:\nMcCord, J., S. Newton, and M. Strynar. Validation of quantitative measurements and semi-quantitative estimates of emerging perfluoroethercarboxylic acids (PFECAs) and hexfluoroprolyene oxide acids (HFPOAs).   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1551: 52-58, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1408902",
      "keyword": [
        "GenX",
        "HFPO-DA",
        "Cape Fear River",
        "perfluorinated ether",
        "LC-MS"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw Measurements and Predicted Concentrations for LC-MSMS of PFECAs.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408902/Raw%20Measurements%20and%20Predicted%20Concentrations%20for%20LC-MSMS%20of%20PFECAs.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://deq.nc.gov/news/hot-topics/genx-investigation/genx-sampling-sites",
          "accessURL": "https://deq.nc.gov/news/hot-topics/genx-investigation/genx-sampling-sites",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-16",
      "references": [
        "https://doi.org/10.1016/j.chroma.2018.03.047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1408902/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Microcystin Congener octanol-water phase concentration measurements for pH dependent partitioning",
      "description": "Measured concentrations in octanol-water phase partitioning of microcystin congeners. \n\nThis dataset is associated with the following publication:\nMcCord, J., J. Lang, D. Hill, M. Strynar, and N. Chernoff. pH dependent octanol–water partitioning coefficients of microcystin congeners.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 16(3): 340-345, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407664",
      "keyword": [
        "microcystin",
        "cyanobacterial toxin",
        "octanol-water partition coefficient"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Log Kow Raws.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407664/Log%20Kow%20Raws.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-04",
      "references": [
        "https://doi.org/10.2166/wh.2018.257"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of Aerosol Nitro Aromatic Compounds Validation of an Experimental Method",
      "description": "The analytical capabilities associated with the use of silylation reactions have been extended to a new class of organic molecules, nitroaromatic compounds (NACs). These compounds are a possible contributor to urban particulate matter of secondary origin which would make them important analytes due to their (1) detrimental health effects, (2) potential to affect aerosol optical properties, (3) and usefulness for identifying PM2.5 from biomass burning. The technique is based on derivatization of the parent NACs using N,O-bis-(trimethylsilyl)-trifluoro acetamide, one of the most prevalent derivatization reagent for analyzing hydroxylated molecules, followed by GC-MS using electron ionization (EI) and methane chemical ionization (CI). This method is evaluated for 32 NACs including nitrophenols, methyl-/methoxy-nitrophenols, nitrobenzoic acids, and nitrobenzyl alcohols. EI spectra were characterized by a high abundance of ions corresponding to [M+.], or [M+ - 15]. CI spectra exhibited high abundance for [M+ + 1], [M+ - 15], and [M+ + 29] ions. Both EI and CI spectra exhibit ions specific to nitro group(s) for [M+. - 31], [M+. - 45], and [M+. - 60]. The strong abundance observed for [M+.] (EI), [M+ - 15] (EI/CI), or [M+ + 1] (CI) ions is consistent with the high charge stabilizing ability associated with aromatic compounds. The combination of EI and CI ionization offers strong capabilities for detection and identification of NACs. Spectra associated with NACs, containing hydrogen, carbon, oxygen, and nitrogen atoms only, as silylated derivatives show fragment/adduct ions at either (a) odd or (b) even masses that indicate either (a) odd or (b) even number of nitro groups, respectively. Mass spectra associated with silylated NACs exhibited three distinct regions where characteristic fragmentation with a specific pattern associated with: (1) -OH, and/or -COOH groups, (2) -NO2 group(s), and (3) benzene ring(s). These findings were confirmed with applications to chamber aerosol and ambient PM2.5. \n\nThis dataset is associated with the following publication:\nJaoui, M., M. Lewandowski, J. Offenberg, M. Colon, K. Docherty, and T. Kleindienst. Characterization of aerosol nitroaromatic compounds: Validation of an experimental method.   Journal of Mass Spectrometry. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 53(8): 680-692, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1416545",
      "keyword": [
        "Nitroaromatics",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Jaoui et al NACs Figure Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1416545/Jaoui%20et%20al%20NACs%20Figure%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.1002/jms.4199"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3\"",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3\" led by Dr. Ulas Im of Aarhus University in Denmark. \n\nThis dataset is associated with the following publication:\nIm, U., J. Christensen, C. Geels, K. Hansen, J. Brandt, E. Solazzo, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, P. Liu, U. Nopmongcol, L. Palacios-Peña, G. Pirovano, L. Pozolli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, G. Yarwood, C. Hogrefe, and S. Galmarini. Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 8929-8952, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434306",
      "keyword": [
        "model evaluation",
        "ensemble modeling",
        "emission sensitivity",
        "long-range transport"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/exposure/A-d25k/",
          "accessURL": "https://gaftp.epa.gov/exposure/A-d25k/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.5194/acp-18-8929-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434306/documents/HogrefeChristian_A-d25k_DataDescription_ImEtAl.zip",
        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Two-scale multi-model ensemble: Is a hybrid ensemble of opportunity telling us more?\"",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Two-scale multi-model ensemble: Is a hybrid ensemble of opportunity telling us more?\" led by Dr. Stefano Galmarini of the European Commission's Joint Research Center. \n\nThis dataset is associated with the following publication:\nGalmarini, S., I. Kioutsioukis, E. Solazzo, U. Alyuz, A. Balzarini, R. Bellasio, A. Benedictow, R. Bianconi, J. Bieser, J. Brandt, J. Christensen, A. Colette, G. Curci, Y. Davila, X. Dong, J. Flemming, X. Francis, A. Fraser, J. Fu, D. Henze, C. Hogrefe, U. Im, M. Garcia Vivanco, P. Jimenez-Guerrero, J. Jonson, N. Kitwiroon, A. Manders, R. Mathur, L. Palacios-Pena, G. Pirovano, L. Pozzoli, M. Prank, M. Schultz, R. Sokhi, K. Sudo, P. Tuccella, T. Takemura, T. Sekiya, and A. Unal. Two-scale multi-model ensemble: is a hybrid ensemble of opportunity telling us more?.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 8727-8744, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434299",
      "keyword": [
        "ensemble modeling",
        "global ozone modeling",
        "regional ozone modeling",
        "categorical evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeChristian_A-pnwj_DataSet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434299/HogrefeChristian_A-pnwj_DataSet.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.5194/acp-18-8727-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Citizen Science sensor measurements to support frequently asked questions (FAQ)",
      "description": "This file has two sheets. Data are measurements by Citizen Science Air Monitors (CSAM) and Federal Monitors, which sampled particulate matter (PM), nitrogen dioxide (NO2), relative humidity (RH), and temperature (T). Variables for each sheet are described in more detail below\nThe sheet “Snorkel No-Snorkel Comparison” includes data from two CSAM units, CSAM-2 and CSAM-3. CSAM-2 used a snorkel tube to sample outdoor air, and CSAM-3 did not use a snorkel tube. CSAM-2 and CSAM-3 were not in the same sampling location, but did sample contemporaneous measurements. These data were used to perform a snorkel and no-snorkel comparison. \nThe sheet “CSAM-1 and Federal Monitor” includes data from a CSAM unit (CSAM-1) and a Federal Monitor (which is used for regulatory measurements of air pollution). CSAM-1 and the Federal Monitor were installed in the same sampling location and recorded contemporaneous measurements. For CSAM-1, original recorded measurements are included, as well as measurements that were corrected (using regression equations) to better reflect the Federal Monitor values. \n\nThis dataset is associated with the following publication:\nBarzyk, T., H. Huang, R. Williams, A. Kaufman, and J. Essoka. Advice and Frequently Asked Questions (FAQs) for Citizen-Science Environmental Health Assessments.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 15(5): 960, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1433814",
      "keyword": [
        "Environmental health assessment",
        "Decision analysis",
        "Local stakeholders",
        "Cumulative impacts"
      ],
      "contactPoint": {
        "fn": "Timothy Barzyk",
        "hasEmail": "mailto:barzyk.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "BarzykTimothy_A-msc0_Datasets_20180419.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433814/BarzykTimothy_A-msc0_Datasets_20180419.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-01",
      "references": [
        "https://doi.org/10.3390/ijerph15050960"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1433814/documents/BarzykTimothy_A-msc0_DataDictionary_20180419.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data file field studies aerosolized endotoxins biosolids application 2010 and 2012",
      "description": "The dataset consists of columns of values and labels of data collected by air samplers for endotoxin monitoring during the full scale/commercial scale land application of Class B biosolids. The biosolids came from different anaerobic treatment facilities and some material was later treated with lime 24 hours prior to application. \n\nThis dataset is associated with the following publication:\nHerrmann , R., R. Grosser, D. Farrar , and B. Brobst. Field studies measuring the aerosolization of endotoxin during the land application of Class B biosolids.  Carmen Galan  AEROBIOLOGIA. Springer, New York, NY, USA, 0(0): 1-18, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500910",
      "keyword": [
        "aerosolized endotoxin",
        "endotoxin",
        "biosolids",
        "Class B biosolids",
        "land application",
        "limulus amebocyte lysate"
      ],
      "contactPoint": {
        "fn": "Ronald Herrmann",
        "hasEmail": "mailto:herrmann.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "Data file field studies aerosolized endotoxins biosolids app.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500910/Data%20file%20field%20studies%20aerosolized%20endotoxins%20biosolids%20app.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-08-27",
      "references": [
        "https://doi.org/10.1007/s10453-017-9480-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in the research titled, \"Quantifying the visual-sensory landscapes qualities that contribute to cultural ecosystem services using social media and LiDAR\"",
      "description": "Sample1m are the data used to estimate the Negative Binomial models. The validation dataset compares classified photographs with viewshed estimates of visible land use/cover. \n\nThis dataset is associated with the following publication:\nVanBerkel, D., P. Tabrizian, M.A. Dorning, L. Smart, D. Newcomb, M. Mehaffey, A. Neale, and R.K. Meentemeyer. Quantifying the visual-sensory landscape qualities that contribute to cultural ecosystem services using social media and LiDAR.   Ecosystem Services. Elsevier Online, New York, NY, USA, 31: 326-335, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1433620",
      "keyword": [
        "Cultural Ecosystem Services",
        "Spatial Analysis",
        "Coastal Scenery",
        "social media"
      ],
      "contactPoint": {
        "fn": "Derek Van Berkel",
        "hasEmail": "mailto:van-berkel.derek@epa.gov"
      },
      "distribution": [
        {
          "title": "SampleNB.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433620/SampleNB.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ValidationViewshed.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433620/ValidationViewshed.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": [
        "https://doi.org/10.1016/j.ecoser.2018.03.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1433620/documents/VariableDescription.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "amphibian_dehydration_uptake_data",
      "description": "Bioconcentration data for Glinski DA, Henderson WM, Van Meter RJ, Purucker ST 2017. Effect of hydration status on pesticide uptake in anurans following exposure to contaminated soils. \n\nThis dataset is associated with the following publication:\nGlinski, D., M. Henderson, R. Van Meter, and T. Purucker. Effect of hydration status on pesticide uptake in anurans following exposure to contaminated soils.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 25(16): 16192-16201, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407571",
      "keyword": [
        "amphibians",
        "dehydration",
        "pesticides",
        "body burden",
        "uptake"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/glinski_dehydration/tree/master/csv_in",
          "accessURL": "https://github.com/puruckertom/glinski_dehydration/tree/master/csv_in",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-17",
      "references": [
        "https://doi.org/10.1007/s11356-018-1830-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gerties Creek Proper Functioning Condition Data Forms",
      "description": "These are Proper Functioning Condition Reach Information Forms filled out during our assessment at Georgina Island.  The forms are from the Technical Reference 1737-15 Second Edition 2015 from BLM, Forest Service and NRCS.  Dickard et al., 2015. \n\nThis dataset is associated with the following publication:\nHall, R., J. Lin, B. Schumacher, K. Charles, and D. Heggem. Ecological risk based assessment used to restore riparian physical functions to a fresh water Creek.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 221: 63-75, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407681",
      "keyword": [
        "Lotic Reach Assessment",
        "Lentic Reach Assessment",
        "Tribal Sustainability",
        "proper functioning condition",
        "ecological condition assessment",
        "Environmenal health",
        "Ecological Health",
        "Vulnerable Groups"
      ],
      "contactPoint": {
        "fn": "Daniel Heggem",
        "hasEmail": "mailto:heggem.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "Gerties Creek Data_ScienceHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407681/Gerties%20Creek%20Data_ScienceHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Gerties Creek Data_ScienceHub2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407681/Gerties%20Creek%20Data_ScienceHub2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-24",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.03.117"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Electrolyte Selection for Electrochemical Oxidative Water Treatment Using a Boron-Doped Diamond Anode to Support Site Specific Contamination Incident Response",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nPhillips, R., R. James, and M. Magnuson. Electrolyte Selection and Microbial Toxicity for Electrochemical Oxidative Water Treatment Using a Boron-doped Diamond Anode to Support Site Specific Contamination Incident Response.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 197: 135-141, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1407534",
      "keyword": [
        "water security",
        "wastewater",
        "treatment",
        "advanced oxidation process",
        "boron doped diamond electrode",
        "pesticide",
        "PFAS",
        "perfluorinated"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-7wmb_data_20170410.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407534/MagnusonMatthew_A-7wmb_data_20170410.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-03",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2018.01.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cesium Emissions from Laboratory Fires",
      "description": "The data sets contain the raw and reduced data from the instrument measurements including continuous emission monitoring and stack sampling procedure. \n\nThis dataset is associated with the following publication:\nHao, W.M., S. Baker, E. Lincoln, S. Hudson, S. Lee, and P. Lemieux. Cesium Emissions from Laboratory Fires Article.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  49, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1377064",
      "keyword": [
        "continuous emission monitoring",
        "stack sampling",
        "Radiological contamination",
        "forest",
        "wildfire",
        "nuclear power plant accident",
        "radiological dispersal device",
        "RDD",
        "improvised nuclear device",
        "IND",
        "air emissions",
        "cesium partitioning",
        "PM10",
        "pm2.5",
        "radionuclides"
      ],
      "contactPoint": {
        "fn": "Sangdon Lee",
        "hasEmail": "mailto:lee.sangdon@epa.gov"
      },
      "distribution": [
        {
          "title": "Cs_CEM_data_06152017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377064/Cs_CEM_data_06152017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Missoula Cs Mass Calculations w ICPMS 041717.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377064/Missoula%20Cs%20Mass%20Calculations%20w%20ICPMS%20041717.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-15",
      "references": [
        "https://doi.org/10.1080/10962247.2018.1493001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Aquatic Resources Survey datasets",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. \n\nThis dataset is associated with the following publications:\nStoddard , J., J. Van Sickle, A. Herlihy, J. Brahney, S. Paulsen , D. Peck , R. Mitchell , and A. Pollard. Continental-scale increase in stream and lake phosphorus: Are oligotrophic systems disappearing in the U.S.?.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3409-3415, (2016).\nHerlihy, A., M. Kentula, T. Magee, G. Lomnicky, A. Nahlik, and G. Serenbetz. Striving for consistency in the National Wetland Condition Assessment: developing a reference condition approach for assessing wetlands at a continental scale.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 327, (2019).\nMagee, T., K. Blocksom, and S. Fennessy. A national-scale vegetation multimetric index (VMMI) as an indicator of wetland condition across the conterminous United States..   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 322, (2019).\nHerlihy, A., J. Sifneos, G. Lomnicky, A. Nahlik, M. Kentula, T. Magee, M. Weber, and A. Trebitz. The response of wetland quality indicators to human disturbance indicators across the United States.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 296, (2019).\nHerlihy, A., S. Paulsen, M. Kentula, T. Magee, A. Nahlik, and G. Lomnicky. Assessing the relative and attributable risk of stressors to wetland condition across the conterminous United States.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 320, (2019).\nLomnicky, G., A.T. Herlihy, and P. Kaufmann. Quantifying the extent of human disturbance activities and anthropogenic stressors in wetlands across the conterminous United States: results from the National Wetland Condition Assessment.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 324, (2019).\nBowen, G., A. Putman, J.R. Brooks, D. Bowling, E. Oerter, and S. Good. Inferring the source of evaporated waters using stable H and O isotopes..   OECOLOGIA. Springer, New York, NY, USA, 187(4): 1025-1039, (2018).\nFox, E., J. Ver Hoef, and T. Olsen. Comparing Spatial Regression to Random Forests for Large Environmental Data Sets..   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(3): e0229509, (2020).\nNahlik, A., K. Blocksom, A. Herlihy, M. Kentula, T. Magee, and S. Paulsen. Use of national-scale data to examine human-mediated additions of heavy metals to wetland soils of the US.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 336, (2019).\nKentula, M., and S. Paulsen. The 2011 National Wetland Condition Assessment: Overview and an Invitation.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA,  325, (2019).\nMagee, T., K. Blocksom, A. Herlihy, and A. Nahlik. Characterizing nonnative plants in wetlands across the conterminous United States.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 344, (2019).\nFeio, M., R. Hughes, M. Callisto, S.J. Nichols, O.N. Odume, B.R. Quintella, M. Kuemmerlen, F.C. Aguiar, S.F.P. Almeida, P. Alonso-EguíaLis , F.O. Arimoro, F.J. Dyer , J.S. Harding , S. Jang , P. Kaufmann, S. Lee, J. Li, D.R. Macedo, A. Mendes, N. Mercado-Silva , W. Monk, K. Nakamura, G.G. Ndiritu , R. Ogden , M. Peat , T.B. Reynoldson , B. Rios-Touma , P. Segurado , and A.G. Yates. The biological assessment and rehabilitation of the world’s rivers: an overview.   WATER. MDPI AG, Basel,  SWITZERLAND, 13(3): 371, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407622",
      "keyword": [
        "wetlands",
        "assessment",
        "coastal",
        "aquatic monitoring",
        "rivers and streams",
        "lakes and reservoirs"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1021/acs.est.5b05950",
        "https://doi.org/10.1007/s10661-019-7325-3",
        "https://doi.org/10.1007/s10661-019-7324-4",
        "https://doi.org/10.1007/s10661-019-7323-5",
        "https://doi.org/10.1007/s10661-019-7313-7",
        "https://doi.org/10.1007/s10661-019-7314-6",
        "https://doi.org/10.1007/s00442-018-4192-5",
        "https://doi.org/10.1371/journal.pone.0229509",
        "https://doi.org/10.1007/s10661-019-7315-5",
        "https://doi.org/10.1007/s10661-019-7316-4",
        "https://doi.org/10.1007/s10661-019-7317-3",
        "https://doi.org/10.3390/w13030371"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Domain and HWBI Scores for CWBI",
      "description": "Geo-located county-level domain and HWBI results calculated based on HWBI framework adaptations for the development of a U.S. Children's Well-Being Index. The file contains 3143 entries. Scores are standardized between 0 and 1. \n\nThis dataset is associated with the following publication:\nBuck, K., K. Summers, L. Smith, and L. Harwell. Application of the Human Well-Being Index to Sensitive Population Divisions: A Children's Well-Being Index Development.   Child Indicators Research. Springer Netherlands,   NETHERLANDS, 11(4): 1249-1280, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1394635",
      "keyword": [
        "children's well-being",
        "HWBI",
        "sustainability",
        "indicators"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "CWBI-ScienceHubEntry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394635/CWBI-ScienceHubEntry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1007/s12187-017-9469-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Boyes et al., Figure 1A",
      "description": "Data support each of the figures in Boyes et al., Moderate Perinatal Thyroid Hormone Insufficiency Alters Visual System Function in Adult Rats (to be submitted for publication). \n\nThis dataset is associated with the following publication:\nBoyes, W., L. Degn, B. George, and M. Gilbert. Moderate Perinatal Thyroid Hormone Insufficiency Alters Visual System Function in Adult Rats.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 67: 73-83, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1410657",
      "keyword": [
        "electroretinograms",
        "visual evoked potentials",
        "propylthiouracil",
        "endocrine disruptor",
        "developmental hypothyroidism",
        "visual impairment"
      ],
      "contactPoint": {
        "fn": "William Boyes",
        "hasEmail": "mailto:boyes.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 1A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1E.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201E.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1D.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201D.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1F.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201F.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%201C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%202C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2A and 2B spectra.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%202A%20and%202B%20spectra.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2A and 2B waveforms.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410657/Figure%202A%20and%202B%20waveforms.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-30",
      "references": [
        "https://doi.org/10.1016/j.neuro.2018.04.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Method 1615 Quantal Data",
      "description": "Groundwater samples and reageant grade water samples. \n\nThis dataset is associated with the following publication:\nFout , S., and J. Cashdollar. EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. II. Total Culturable Virus Assay.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 115: e52437, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407572",
      "keyword": [
        "occurrence",
        "total culturable virus assay",
        "virus",
        "waterborne"
      ],
      "contactPoint": {
        "fn": "Jennifer Cashdollar",
        "hasEmail": "mailto:cashdollar.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Final Corrected quantal data for JoVE II 29Jun17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407572/Final%20Corrected%20quantal%20data%20for%20JoVE%20II%2029Jun17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-09-17",
      "references": [
        "https://doi.org/10.3791/52437"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cookstove data",
      "description": "No dataset available. This dataset is not publicly accessible because: The dataset was never touched by EPA employees. Data was collected, analyzed, and maintained solely by non-EPA collaborators. It can be accessed through the following means: Dataset can be accessed by contacting the senior PI on the research effort, Kristina Whitworth (Kristina.W.Whitworth@uth.tmc.edu). Format: Dataset was handled solely by non-EPA collaborators on this research effort. EPA employee role on this research effort was purely advisory. \n\nThis dataset is associated with the following publication:\nMisra, A., M. Longnecker, K. Dionisio, R. Bornman, G. Travlos, S. Brar, and K. Whitworth. Household fuel use and biomarkers of inflammation and respiratory illness among rural South African Women.   ENVIRONMENTAL RESEARCH. Academic Press Incorporated, Orlando, FL, USA, 166: 112-116, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390130",
      "keyword": [
        "biomass",
        "household fuel",
        "Wood",
        "inflammation",
        "biomarkers",
        "respiratory"
      ],
      "contactPoint": {
        "fn": "Kathie Dionisio",
        "hasEmail": "mailto:dionisio.kathie@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-15",
      "references": [
        "https://doi.org/10.1016/j.envres.2018.05.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A summary and detailed description of research elements and results that are the building block for the journal article",
      "description": "The PPT file describes the results of research that serve as the basis for the journal article. \n\nThis dataset is associated with the following publication:\nWei, H., T. Zuo, H. Liu, and J. Yang. Integrating Land Use and Socioeconomic Factors into Scenario-Based Travel Demand and Carbon Emission Impact Study.   Urban Rail Transit. Springer International Publishing AG, Cham (ZG),  SWITZERLAND, 3(1): 3-14, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502494",
      "keyword": [
        "Integration",
        "land use",
        "Socioeconomic factor",
        "Travel demand",
        "Transportation environmental",
        "Carbon emission"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "WA4-45_Task2_Presentation_10_19_2015.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502494/WA4-45_Task2_Presentation_10_19_2015.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-20",
      "references": [
        "https://doi.org/10.1007/s40864-017-0056-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Final QCd Ricin Attenuation Data",
      "description": "Unzip the file to find a spreadsheet for each test.  Each spreadsheet contains the amt of ricin recovered from both positive and test coupons, for both crude and pure ricin forms. \n\nThis dataset is associated with the following publication:\nWood, J., W. Richter, A. Smiley, and J. Rogers. Influence of environmental conditions on the attenuation of ricin toxin on surfaces.   PLoS ONE. Public Library of Science, San Francisco, CA, USA,  9, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1432984",
      "keyword": [
        "Ricin",
        "attenuation"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "TO17 Final Datav2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432984/TO17%20Final%20Datav2.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-13",
      "references": [
        "https://doi.org/10.1371/journal.pone.0201857"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Links to USGS NWIS repositories of monitoring data",
      "description": "These are quality-assured time series datasets from weather stations and runoff volume monitoring infrastructure, Cleveland OH. \n\nThis dataset is associated with the following publication:\nShuster, W., and R. Darner. Hydrologic Performance of Retrofit Rain Gardens in a Residential Neighborhood (Cleveland Ohio USA) with a Focus on Monitoring Methods. U.S. Environmental Protection Agency, Washington, DC, USA, 2018.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502452",
      "keyword": [
        "Green Infrastructure",
        "stormwater management",
        "wastewater management",
        "combined sewers",
        "sewershed",
        "rain gardens",
        "bioretention"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Links to monitoring data _Slavic Village Rain Garden Study 2012-2016.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502452/Links%20to%20monitoring%20data%20_Slavic%20Village%20Rain%20Garden%20Study%202012-2016.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GoldenHeather_A-f7mb_Data_20170619",
      "description": "Output from model simulation runs and used for figures in the manuscript. An index for header terms can be found in the dataset. \n\nThis dataset is associated with the following publication:\nEvenson, G., H. Golden, C. Lane, D. McLaughlin, and E. D'Amico. Depressional wetlands affect watershed hydrological, biogeochemical, and ecological functions.   ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 28(4): 953-966, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1366490",
      "keyword": [
        "wetlands",
        "watersheds",
        "hydrology",
        "watershed models",
        "Watershed"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "GoldenHeather_A-f7mb_Data_20170619.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1366490/GoldenHeather_A-f7mb_Data_20170619.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-16",
      "references": [
        "https://doi.org/10.1002/eap.1701"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Depressed Roadways",
      "description": "This data set is associated with the results found in the journal article: Amini et al, 2018. Modeling Dispersion of Emissions from Depressed Roadways. Authors: Seyedmorteza Amini, Faraz Enayati Ahangar, David K. Heist, Steven G. Perry, Akula Venkatram. \nThis paper presents an analysis of data from a wind tunnel study of dispersion of emissions from three depressed roadway configurations; a 6 m deep depressed roadway with vertical sidewalls, a 6 m deep depressed roadway with 30° sloping sidewalls, and a 9 m deep depressed roadway with vertical sidewalls. All these configurations induce complex flow fields, increase turbulence levels, and decrease surface concentrations downwind of the depressed road compared to those of the at-grade configuration. The parameters of flat terrain dispersion models are modified to describe concentrations measured downwind of the depressed roadways. In the first part of the paper, a flat terrain model proposed by van Ulden (1978) is adapted. It turns out that this model with increased initial vertical dispersion and friction velocity is able to explain the observed concentration field. The results also suggest that the vertical concentration profiles of all cases under neutral conditions are best explained by a vertical distribution function with an exponent of 1.3. In the second part of the paper, these modifications are incorporated into a model based on the RLINE  line-source dispersion model. While this model can be adapted to yield acceptable estimates of near-surface concentrations (z< 6m) measured in the wind tunnel, the Gaussian vertical distribution in RLINE, with an exponent of 2, cannot describe the concentration at higher elevations. Our findings suggest a simple method to account for depressed highways in models such as RLINE and AERMOD through two parameters that modify vertical plume spread. \n\nThis dataset is associated with the following publication:\nAmini, S., F. Ahangar, D. Heist, S. Perry, and A. Venkatram. Modeling Dispersion of Emissions from Depressed Roadways.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 186: 189-197, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434500",
      "keyword": [
        "near-road",
        "dispersion modeling",
        "wind tunnel"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HeistDavid_A-j9kw_Data-DepressedRoadways.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434500/HeistDavid_A-j9kw_Data-DepressedRoadways.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-11",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.04.058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434500/documents/HeistDavid_A-j9kw_DataDictionary_DepressedRoadways.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Fourier Transformed Infrared (FTIR) Spectroscopy Data for Soil Carbon, Extractable Carbon, Changes in Soil FTIR Spectra, FTIR Data Clustering & Discriminant Analysis ",
      "description": "Here we report on a rapid, high throughput approach using fingerprint Fourier transformed infrared (FTIR) spectroscopy and chemometric modeling. Fingerprint FTIR incorporates all information embedded within the FTIR spectrum, thus producing a biogeochemical or ecological “fingerprint” of the soil. This methodology was applied in a highly disturbed forest ecosystem over a 19-year sampling period to detect, via spectral analysis, changes in dynamic soil properties (e.g., soil organic matter and reactive mineralogy) that can indicate changes in soil quality. Two chemometric statistical techniques (i.e., hierarchical clustering analysis [HCA] and discriminate analysis of principal components [DAPC]) were evaluated for interpreting and quantifying similarities/dissimilarities between samples utilizing the entire FTIR spectra from each sample. \n\nThis dataset is associated with the following publication:\nMaynard, J., and M. Johnson. Applying fingerprint Fourier transformed infrared spectroscopy and chemometrics to assess soil ecosystem disturbance and recovery.   JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society,    73(4): 443-451, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502535",
      "keyword": [
        "Soil carbon",
        "FTIR",
        "Discriminant analysis",
        "system recovery",
        "Forest soil",
        "remote sensing",
        "Terrain analysis",
        "spatial variability",
        "redundancy analysis",
        "variation partitioning"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Maynard and Johnson 2018_JSWC_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502535/Maynard%20and%20Johnson%202018_JSWC_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-08",
      "references": [
        "https://doi.org/10.2489/jswc.73.4.443"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "1990-2010 atmospheric deposition of Sulfur and nitrogen",
      "description": "These data files associated with the Tables and Figures presented in the following manuscript:\nZhang, Y., Mathur, R., Bash, J. O., Hogrefe, C., Xing, J., and Roselle, S. J.: Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010, Atmos. Chem. Phys., 18, 9091-9106, https://doi.org/10.5194/acp-18-9091-2018, 2018. \n\nThis dataset is associated with the following publication:\nZhang, Y., R. Mathur, J. Bash, C. Hogrefe, J. Xing, and S. Roselle. Long-term trends in total inorganic nitrogen and sulfur deposition in the US from 1990 to 2010.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 9091-9106, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434279",
      "keyword": [
        "atmospheric deosition",
        "long term trends",
        "nitrogen",
        "sulfur"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "Figs_1_3_Tables_1_stations.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_1_3_Tables_1_stations.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_4_TSO4_def.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_4_TSO4_def.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_4_TIN_abc.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_4_TIN_abc.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_6_def_DDEP_TIN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_6_def_DDEP_TIN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_7_abc_WDEP_S.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_7_abc_WDEP_S.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_7_def_DDEP_S.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_7_def_DDEP_S.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_8_Total Deposition & Emissions trend.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_8_Total%20Deposition%20%26%20Emissions%20trend.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_NHx_trend.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_5_NHx_trend.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_2_Ecoregions_Evaluation_TNO3_Obs.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Table_2_Ecoregions_Evaluation_TNO3_Obs.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_3_Ecoregions_Evaluation_NHX_Obs.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Table_3_Ecoregions_Evaluation_NHX_Obs.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_TNO3_trend.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_5_TNO3_trend.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_6_abc_WDEP_TIN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_6_abc_WDEP_TIN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_4_Ecoregions_Evaluation_TSO4_Obs.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Table_4_Ecoregions_Evaluation_TSO4_Obs.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_5_6_Deposition_Trends_Ecoregions_NHX.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Tables_5_6_Deposition_Trends_Ecoregions_NHX.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_5_6_Deposition_Trends_Ecoregions_TIN.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Tables_5_6_Deposition_Trends_Ecoregions_TIN.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_5_6_Deposition_Trends_Ecoregions_TNO3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Tables_5_6_Deposition_Trends_Ecoregions_TNO3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_9_TDEP_NHx_Ratio.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Figs_9_TDEP_NHx_Ratio.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_5_6_Deposition_Trends_Ecoregions_TSO4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/Tables_5_6_Deposition_Trends_Ecoregions_TSO4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-15",
      "references": [
        "https://doi.org/10.5194/acp-18-9091-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434279/documents/Data_Dictionary_acp-2018-116.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Identification of Biomarkers of Exposure to FTOHs  and PAPs in Humans Using a Targeted and Non-targeted Analysis Approach",
      "description": "Dataset for Identification of Biomarkers of Exposure to FTOHs  and PAPs in Humans Using a Targeted and Non-targeted Analysis Approach. \n\nThis dataset is associated with the following publication:\nDagnino, A., M. Strynar, R. McMahen, C. Lau, C. Ball, S. Garantziosis, T. Webster, M. McClean, and A. Lindstrom. Identification of Biomarkers of Exposure to FTOHs  and PAPs in Humans Using a Targeted and Non-targeted Analysis Approach.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(0): 10216-10225, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407650",
      "keyword": [
        "flurorotelomer alcohol",
        "biomarkers",
        "human",
        "Metabolism",
        "per and poly-fluorinated"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Dagnino Dataset Information Document.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407650/Dagnino%20Dataset%20Information%20Document.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-01-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EWRI World Water Congress 2018 Presentation Dataset",
      "description": "Data and Tables and Figures in EWRI 2018 presentation. \n\nThis dataset is associated with the following publication:\nBlaisi, N., J. Roessler, W. Cheng, T. Townsend, and S. Al-Abed. Evaluation of the impact of lime softening waste disposal in natural environments.  R. Cossu  WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 43: 524-532, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502476",
      "keyword": [
        "Flue Gas Desulfurization",
        "limestone",
        "lime sludge",
        "life cycle assessment",
        "environmental impact assessment",
        "mercury re-emission"
      ],
      "contactPoint": {
        "fn": "Craig Patterson",
        "hasEmail": "mailto:patterson.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "EWRI2018PresentationDataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502476/EWRI2018PresentationDataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-11",
      "references": [
        "https://doi.org/10.1016/j.wasman.2015.06.015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Intergenerational responses of wheat to CeO2 nanoparticles, growth and nutrient contents",
      "description": "The intergenerational impact of engineered nanomaterials in plants is a key knowledge gap in the literature. A soil microcosm study was performed to assess the effects of multi-generational exposure of wheat (Triticum aestivum L.) to cerium oxide nanoparticles (CeO2-NPs). Seeds from plants that were exposed to 0, 125, and 500 mg CeO2-NPs/kg soil (Ce-0, Ce-125 or Ce-500, respectively) in first generation (S1) were cultivated in factorial combinations of Ce-0, Ce-125 or Ce-500 to produce second generation (S2) plants. The factorial combinations for first/second generation treatments in Ce-125 were S1-Ce-0/S2-Ce-0, S1-Ce-0/S2-Ce-125, S1-Ce-125/S2-Ce-0 and S1-Ce-125/S2-Ce-125, and in Ce-500 were S1-Ce-0/S2-Ce-0, S1-Ce-0/S2-Ce-500, S1-Ce-500/S2-Ce-0 and S1-Ce-500/S2-Ce-500. Agronomic, elemental, isotopic, and synchrotron X-ray fluorescence (XRF) and X-ray absorption near-edge spectroscopy (XANES) data were collected on second generation plants. Results showed that plants treated during the first generation only with either Ce-125 or Ce-500 (e.g. S1-Ce-125/S2-Ce-0 or S1-Ce-500/S2-Ce-0) had reduced accumulation of Ce (61 or 50%), Fe (49 or 58%) and Mn (34 or 41%) in roots, and δ15N (11 or 8%) in grains compared to the plants not treated in both generations (i.e. S1-Ce-0/S2-Ce-0). Plants treated in both generations with Ce-125 (i.e. S1-Ce-125/S2-Ce-125) produced grains that had lower Mn, Ca, K, Mg and P relative to plants treated in the second generation only (i.e. S1-Ce-0/S2-Ce-125). In addition, synchrotron XRF elemental chemistry maps of soil/plant thin-sections revealed limited transformation of CeO2-NPs with no evidence of plant uptake or accumulation. The findings demonstrated that first generation exposure of wheat to CeO2-NPs affects the physiology and nutrient profile of the second generation plants. However, the lack of concentration-dependent responses indicate that complex physiological processes are involved which alter uptake and metabolism of CeO2-NPs in wheat. \n\nThis dataset is associated with the following publication:\nRico, C., M. Johnson, M. Marcus, and C. Andersen. Intergenerational responses of wheat (Triticum aestivum L.) to cerium oxide nanoparticles exposure.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 4: 700-711, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502592",
      "keyword": [
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "CeO2 Wheat Intergenerational Data Repository for 8-24-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502592/CeO2%20Wheat%20Intergenerational%20Data%20Repository%20for%208-24-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-27",
      "references": [
        "https://doi.org/10.1039/c7en00057j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Changes in gene expression in Arabidopsis in response to nano CeO2 and nano TiO2",
      "description": "- Changes in tissue transcriptomes and productivity of Arabidopsis thaliana were investigated during exposure of plants to two widely used engineered metal oxide nanoparticles, titanium dioxide (nano-titanium) and cerium dioxide (nano-cerium). Microarray analyses confirmed that exposure to either nanoparticle altered the transcriptomes of rosette leaves and roots, with comparatively larger numbers of differentially expressed genes (DEGs) found under nano-titania exposure. Nano-titania induced more DEGs in rosette leaves, whereas roots had more DEGs under nano-ceria exposure.  MapMan analyses indicated that while nano-titania up-regulated overall metabolism metabolism in both tissues, metabolic processes under nano-ceria remained mostly unchanged. Gene enrichment analysis indicated that both nanoparticles mainly enriched ontology groups such as responses to stress (abiotic and biotic), and defense responses (pathogens), and responses to endogenous stimuli (hormones). Nano-titania specifically induced genes associated with photosynthesis, whereas nano-ceria induced expression of genes related to activating transcription factors, most notably those belonging to the ethylene responsive element binding protein family.  Interestingly, there were also increased numbers of rosette leaves and plant biomass under nano-ceria exposure, but not under nano-titania. Other transcriptomic responses did not clearly relate to responses observed at the organism level. This may be due to functional and genomic redundancy in Arabidopsis, which may mask expression of morphological changes, despite discernable responses at the transcriptome level. Additionally, transcriptomic changes often relate with transgenerational phenotypic development, hence it may be productive to direct further experimental work to integrate high-throughput genomic results with longer-term changes in subsequent generations. \n\nThis dataset is associated with the following publication:\nTumburu, L., C. Andersen, P.T. Rygiewicz, and J. Reichman. Molecular and physiological responses to titanium dioxide and cerium oxide nanoparticles in arabidopsis.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(1): 71-82, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502593",
      "keyword": [
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80461",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE80461",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-27",
      "references": [
        "https://doi.org/10.1002/etc.3500"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for modeling spatial and temporal variation in natural background specific conductivity",
      "description": "This file contains the data set used to develop a random forest model predict background specific conductivity for stream segments in the contiguous United States. This Excel readable file contains 56 columns of parameters evaluated during development.  The data dictionary provides the definition of the abbreviations and the measurement units.  Each row is a unique sample described as R** which indicates the NHD Hydrologic Unit (underscore), up to a 7-digit COMID, (underscore) sequential sample month.\nTo develop models that make stream-specific predictions across the contiguous United States, we used StreamCat data set and process (Hill et al. 2016; https://github.com/USEPA/StreamCat). The StreamCat data set is based on a network of stream segments from NHD+ (McKay et al. 2012). These stream segments drain an average area of 3.1 km2 and thus define the spatial grain size of this data set. \nThe data set consists of minimally disturbed sites representing the natural variation in environmental conditions that occur in the contiguous 48 United States. More than 2.4 million SC observations were obtained from STORET (USEPA 2016b), state natural resource agencies, the U.S. Geological Survey (USGS) National Water Information System (NWIS) system (USGS 2016), and data used in Olson and Hawkins (2012) (Table S1). Data include observations made between 1 January 2001 and 31 December 2015 thus coincident with Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data (https://modis.gsfc.nasa.gov/data/). Each observation was related to the nearest stream segment in the NHD+. Data were limited to one observation per stream segment per month. SC observations with ambiguous locations and repeat measurements along a stream segment in the same month were discarded. Using estimates of anthropogenic stress derived from the StreamCat database (Hill et al. 2016), segments were selected with minimal amounts of human activity (Stoddard et al. 2006) using criteria developed for each Level II Ecoregion (Omernik and Griffith 2014).  Segments were considered as potentially minimally stressed where watersheds had 0 - 0.5% impervious surface, 0 – 5% urban, 0 – 10% agriculture, and population densities from 0.8 – 30 people/km2 (Table S3). Watersheds with observations with large residuals in initial models were identified and inspected for evidence of other human activities not represented in StreamCat (e.g., mining, logging, grazing, or oil/gas extraction). Observations were removed from disturbed watersheds, with a tidal influence or unusual geologic conditions such as hot springs. About 5% of SC observations in each National Rivers and Stream Assessment (NRSA) region were then randomly selected as independent validation data. The remaining observations became the large training data set for model calibration. \n\nThis dataset is associated with the following publication:\nOlson, J., and S. Cormier. Modeling spatial and temporal variation in natural background specific conductivity.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(8): 4316-4325, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500945",
      "keyword": [
        "drought",
        "StreamCat",
        "conductivity",
        "Carbonate Salts",
        "modeled conductivity"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "RefModelData_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500945/RefModelData_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-14",
      "references": [
        "https://doi.org/10.1021/acs.est.8b06777"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500945/documents/Data_Dictionary_RefModelData_20180611_508.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "2009 USVI",
      "description": "EPA conducted a small regional coral reef assessment at 13 stations selected to represent a range of human influence around Charlotte Amalie (CA) Port in St. Thomas.  Sites were selected to represent an east-west gradient of human disturbance with CA at its center. In order to minimize habitat differences, all locations were selected in close proximity to land and at a similar depth (5-9 m). Multiple biological assemblages were measured, including stony corals, sponges and gorgonians, fish, and invertebrates. \n\nThis dataset is associated with the following publication:\nOliver, L., W. Fisher, L. Fore, A. Smith, and P. Bradley. Assessing Land Use, Sedimentation and Water Quality Stressors as Predictors of Coral Reef Condition in St. Thomas, U.S. Virgin Islands.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 190: 213, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1425905",
      "keyword": [
        "coral reef condition",
        "stony coral",
        "biocriteria",
        "probability based sampling",
        "reef assessments",
        "Puerto Rico",
        "USVI"
      ],
      "contactPoint": {
        "fn": "William Fisher",
        "hasEmail": "mailto:fisher.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Fish_USVI2009CA_FMay062016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/Fish_USVI2009CA_FMay062016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Inverts_USVI2009CA_FMay062016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/Inverts_USVI2009CA_FMay062016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rugosity_USVI2009CA_FMay062016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/Rugosity_USVI2009CA_FMay062016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SpGorg_USVI2009CA_FMay062016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/SpGorg_USVI2009CA_FMay062016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Stonycoral_USVI2009CA_FMay062016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/Stonycoral_USVI2009CA_FMay062016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metric Table_Surveys.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/Metric%20Table_Surveys.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StationInfo_USVI2009CA_FMar2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/StationInfo_USVI2009CA_FMar2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FORAM Data StThomas-USVI 2009.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425905/FORAM%20Data%20StThomas-USVI%202009.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-01",
      "references": [
        "https://doi.org/10.1007/s10661-018-6562-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differentiating Pathway-Specific From Nonspecific Effects in High-Throughput Toxicity Data: A Foundation for Prioritizing Adverse Outcome Pathway Development",
      "description": "Previous work identified a ‘cytotoxic burst’ (CTB) phenomenon wherein large numbers of the ToxCast assays begin to respond at or near test chemical concentrations that elicit cytotoxicity, and a statistical approach to defining the bounds of the CTB was developed. To focus AOP development on the molecular targets corresponding to ToxCast assays indicating pathway-specific effects, we conducted a meta-analysis to identify which assays most frequently respond at concentrations below the CTB.  A preliminary list of potentially important, target-specific assays was determined by ranking assays by the fraction of chemical hits below the CTB compared to the number of chemicals tested.  Additional priority assays were identified using a diagnostic-odds-ratio approach which gives greater ranking to assays with high specificity but low responsivity. Combined, the two prioritization methods identified several novel targets (e.g., peripheral benzodiazepine and progesterone receptors) to prioritize for AOP development, and affirmed the importance of a number of existing AOPs aligned with ToxCast targets (e.g., thyroperoxidase, estrogen receptor, aromatase). \n\nThis dataset is associated with the following publication:\nFay, K., J. Swintek, D. Villeneuve, S. Edwards, M. Nelms, B. Blackwell, and G. Ankley. Differentiating pathway-specific from non-specific effects in high-throughput toxicity data: A foundation for prioritizing adverse outcome pathway development.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(2): 500-515, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1434917",
      "keyword": [
        "computational toxicology",
        "ToxCast",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434917/data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cytoburst code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434917/cytoburst%20code.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Science hub_Cytotoxic burst_2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434917/Science%20hub_Cytotoxic%20burst_2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-30",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HTTK R Package v1.7 - Evaluation and Calibration of High-Throughput Predictions of Chemical Distribution to Tissues",
      "description": "httk: High-Throughput Toxicokinetics\n\nFunctions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting \"PBTK\" models to \"SBML\" and \"JARNAC\" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation (\"IVIVE\") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as \"RTK\"). \n\nThis dataset is associated with the following publication:\nPearce, R., W. Setzer, J. Davis, and J. Wambaugh. Evaluation and Calibration of High-Throughput Predictions of Chemical Distribution to Tissues.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS. Springer, New York, NY, USA, 44(6): 549-565, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390262",
      "keyword": [
        "r package",
        "ToxCast",
        "PBPK-reverse dosimetry",
        "in vitro to in vivo extrapolation (IVIVE)",
        "httk",
        "high throughput toxicokinetics",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-15",
      "references": [
        "https://doi.org/10.1007/s10928-017-9548-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simmons_DeGroot_Metabolism_mRNA_transfection_ApplInVitroTox_Data",
      "description": "The US EPA’s ToxCast program is designed to assess chemical perturbations of molecular and cellular endpoints using a variety of high-throughput screening (HTS) assays. However, existing HTS assays have limited or no xenobiotic metabolism which could lead to false positive (chemical is detoxified in vivo) as well as false negative results (chemical is bioactivated in vivo) and thus potential mischaracterization of chemical hazard. We have addressed this challenge by introducing the ten most prevalent human liver cytochrome P450 (CYP) enzymes into a human cell line (HEK293T) with low endogenous metabolic capacity. The CYP enzymes were introduced via transfection of modified mRNAs as singlets or as a mixture in relative proportions expressed in the liver. Initial experiments using luminogenic CYP450 substrates demonstrate that cell models express metabolic enzymes from the transfected mRNAs and activities are significantly increased when co-transfected with a CYP accessory protein, P450 oxidoreductase (POR). Transfected HEK293T cells demonstrate the ability to produce predicted metabolites following treatment with well-studied CYP substrates, with metabolite formation occurring through 18 hours post-treatment. As a demonstration of how this method can be used to retrofit existing HTS assays, a proof-of-concept screen for cytotoxicity in HEK293T cells was conducted using 56 test compounds. The results demonstrate that the xenobiotic metabolism conferred by transfection of CYP-encoding mRNAs shifts the dose-response relationship for certain test chemicals such as aflatoxin B1 (bioactivation) and fenazaquin (detoxification). Overall, transfection of CYP-encoding mRNAs is an effective and portable solution for retrofitting metabolic competence to existing cell-based HTS assays. \n\nThis dataset is associated with the following publication:\nDeGroot, D., A. Swank, R. Thomas, M. Strynar, M. Lee, P. Carmichael, and S. Simmons. mRNA transfection retrofits cell-based assays with xenobiotic metabolism.   JOURNAL OF PHARMACOLOGICAL & TOXICOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 92: 77-94, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407700",
      "keyword": [
        "Metabolism",
        "biotransformation",
        "cell-based assay",
        "ToxCast",
        "High throughput screening"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Simmons_Steve/Metabolism_mRNA_transfection/",
          "accessURL": "https://gaftp.epa.gov/comptox/NCCT_Publication_Data/Simmons_Steve/Metabolism_mRNA_transfection/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-16",
      "references": [
        "https://doi.org/10.1016/j.vascn.2018.03.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rapid Experimental Estimates of Physicochemical Properties",
      "description": "We have performed high-throughput experimental estimates of five physicochemical properties for a set of 200 chemicals to evaluate the consistency with previous measurements, factors impacting consistency and experimental success, and the applicability domain of the new data in relation to previously measured data and predictive models. \n\nThis dataset is associated with the following publication:\nNicolas, C., K. Mansouri, K. Phillips, C. Grulke, A. Richard, A. Williams, J. Rabinowitz, K. Isaacs, A. Yau, and J. Wambaugh. (ENVIRONMENTAL SCIENCE and TECHNOLOGY) Rapid Experimental Estimates of Physicochemical Properties to Inform Models and Testing.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 636: 901-909, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1395223",
      "keyword": [
        "physicochemical properties",
        "QSAR modeling",
        "quantitative structure activity relationship (QSAR)",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SI_tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395223/SI_tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental_PhysChem_Submitted.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395223/Supplemental_PhysChem_Submitted.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-27",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.04.266"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Suspect Screening Analysis of Chemicals in Consumer Products",
      "description": "A suspect screening analysis method is presented to rapidly characterize chemicals in 100 consumer products -- whether they be formulations (shampoos, paints), articles (upholsteries, shower curtains), or foods (cereals) – and therefore supports broader efforts to prioritize chemicals based on potential human health risks. A two-dimensional gas chromatography-time of flight/mass spectrometry method was used to screen for chemicals in selected products. Analysis yielded 4270 unique chemical signatures across the products, with 1602 signatures tentatively identified using the National Institute of Standards and Technology 2008 spectral database. Chemical standards confirmed the presence of 119 compounds. Of the 1602 chemicals, 1404 were not present in a public database of known consumer product chemicals. \n\nThis dataset is associated with the following publication:\nPhillips, K., A. Yau, K. Favela, K. Isaacs, A. McEachran, C. Grulke, A. Richard, A. Williams, J. Sobus, R. Thomas, and J. Wambaugh. Suspect Screening Analysis of Chemicals in Consumer Products.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3125-3135, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1391810",
      "keyword": [
        "consumer products",
        "Gas chromatography-mass spectrometry (GC/MS)",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "suspect_screening_of_chemicals_in_consumer_products_SI_tables_v4_0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391810/suspect_screening_of_chemicals_in_consumer_products_SI_tables_v4_0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supporting_information_product_deformulation_v4_2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1391810/supporting_information_product_deformulation_v4_2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-15",
      "references": [
        "https://doi.org/10.1021/acs.est.7b04781"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Measurements of parameters controlling the emissions of organophoshpate flame retardants in indoor environments",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains measurements of mass transfer, material/air, and surface/air partition coefficients and emission concentrations of OPFRs in chambers and diffusion tubes. It also contains modeling data. \n\nThis dataset is associated with the following publication:\nLiang, Y., X. Liu, and M. Allen. Measurements of Parameters Controlling the Emissions of Organophosphate Flame Retardants in Indoor Environments.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  5821-5829, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1413225",
      "keyword": [
        "Semivolatile Organic Compounds (SVOCs)",
        "Organophosphorus Flame Retardants (OPFRs)",
        "Chamber testing",
        "Surface/air partition",
        "Material/air partition",
        "Material-phase diffusion"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-zs87_Data Tables&Dictionary-20180427.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413225/XiaoyuLiu_A-zs87_Data%20Tables%26Dictionary-20180427.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-14",
      "references": [
        "https://doi.org/10.1021/acs.est.8b00224"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model codes and run scripts developed for the addition of Four-Dimensional Data Assimilation (FDDA) to the Model for Prediction Across Scales - Atmosphere (MPAS-A)",
      "description": "Web link to a Zenodo repository containing Model codes, run scripts, the computational mesh definition file, and user instructions for the addition of Four-Dimensional Data Assimilation (FDDA) to the Model for Prediction Across Scales - Atmosphere (MPAS-A). \n\nThis dataset is associated with the following publication:\nBullock, R., H. Foroutan, R. Gilliam, and J. Herwehe. Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0).   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 11: 2897-2922, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434298",
      "keyword": [
        "data assimilation",
        "meteorological model",
        "air quality",
        "global"
      ],
      "contactPoint": {
        "fn": "Orren Bullock",
        "hasEmail": "mailto:bullock.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.1101204",
          "accessURL": "https://doi.org/10.5281/zenodo.1101204",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-11",
      "references": [
        "https://doi.org/10.5194/gmd-11-2897-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Clarksburg green infrastructure data",
      "description": "This data set includes 5-minute time series runoff and precipitation data of neighborhood catchments with a variety of stormwater control measures, and definition of individual precipitation-runoff events and associated runoff metrics. Also included are geospatial data that delineates the neighborhood catchments with their land use/land cover and stormwater infrastructure. \n\nThis dataset is associated with the following publication:\nWoznicki, S., K. Hondula, and T. Jarnagin. Effectiveness of landscape‐based green infrastructure for stormwater management in suburban catchments.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 32(15): 2346-2361, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435427",
      "keyword": [
        "Green Infrastructure",
        "Stormwater control measures",
        "best management practices",
        "urbanization",
        "stormwater management",
        "Maryland",
        "USA"
      ],
      "contactPoint": {
        "fn": "S Jarnagin",
        "hasEmail": "mailto:jarnagin.taylor@epa.gov"
      },
      "distribution": [
        {
          "title": "Readme_ClarksburgGeospatialData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/Readme_ClarksburgGeospatialData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ClarksburgGeospatialData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/ClarksburgGeospatialData.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Readme_ClarksburgMonitoringData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/Readme_ClarksburgMonitoringData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ClarksburgMonitoringData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/ClarksburgMonitoringData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Readme_ClarksburgEventData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/Readme_ClarksburgEventData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ClarksburgEventData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435427/ClarksburgEventData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-14",
      "references": [
        "https://doi.org/10.1002/hyp.13144"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Placeholder",
      "description": "Placeholder. This dataset is not publicly accessible because: This manuscript is based on literature review. No analysis was performed and there is no data associated with this product. It can be accessed through the following means: This manuscript is based on literature review. No analysis was performed and there is no data associated with this product. Format: This manuscript is based on literature review. No analysis was performed and there is no data associated with this product. \n\nThis dataset is associated with the following publication:\nBriski, E., F. Chan, J. Darling, V. Lauringson, H. MacIsaac, A. Zhan, and S. Bailey. Beyond propagule pressure: importance of selection during the transport stage of biological invasions.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT. Ecological Society of America, Ithaca, NY, USA, 16(6): 345-353, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1369042",
      "keyword": [
        "genetic diversity",
        "invasion process",
        "selection",
        "transport"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-14",
      "references": [
        "https://doi.org/10.1002/fee.1820"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human health impact of non-potable reuse of distributed wastewater and greywater treated by membrane bioreactors",
      "description": "This dataset contains simulated annual probabilities of infection for non-potable indoor use of greywater or wastewater treated by membrane bioreactors and chlorine disinfection.  The .zip file contains .csv files for each combination of source water and pathogen; see readme file (read me file.txt) for data dictionary and file naming convention. \n\nThis dataset is associated with the following publication:\nSchoen, M., M. Jahne, and J. Garland. Human health impact of non-potable reuse of distributed wastewater and greywater treated by membrane bioreactors (Microbial Risk Analysis).   Microbial Risk Analysis. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 72-81, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1420321",
      "keyword": [
        "greywater",
        "wastewater",
        "decentralized systems",
        "water reuse",
        "waterborne pathogens",
        "microbial risk assessment",
        "non-potable",
        "potable",
        "log reduction target",
        "QMRA",
        "pathogens"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "csv files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420321/csv%20files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-08",
      "references": [
        "https://doi.org/10.1016/j.mran.2018.01.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CAIRSENSE-Denver",
      "description": "The databases contain continuous sensor information as well as time stamped equivalent reference data. \n\nThis dataset is associated with the following publication:\nFeinberg, S., R. Williams, G. Hagler, J. Rickard, R. Brown, D. Garver, G. Harshfield, P. Stauffer, E. Mattson, R. Judge, and S. Garvey. Long-term evaluation of air sensor technology under ambient conditions in Denver, Colorado.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 11(8): 4605-4615, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1411532",
      "keyword": [
        "CAIRSENSE",
        "Sensors",
        "performance evaluations"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "CAIRSENSE_DataFiles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411532/CAIRSENSE_DataFiles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-01",
      "references": [
        "https://doi.org/10.5194/amt-11-4605-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1411532/documents/CAIRSENSE_DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Formaldehyde Column Observations by Pandora Spectrometers",
      "description": "Data collected for this research provides information on mixing heights, surface and column formaldehyde during the KORUS-AQ field campaign and over two research sites in South Korea. \n\nThis dataset is associated with the following publication:\nSpinei, E., A. Whitehill, A. Fried, M. Tiefengraber, T. Knepp, S. Herndon, J. Herman, M. Muller, N. Abuhassan, A. Cede, D. Richter, J. Walega, J. Crawford, J. Szykman, L. Valin, D. Williams, R. Long, R. Swap, Y. Lee, N. Nowak, and B. Poche. The first evaluation of formaldehyde column observations by improved Pandora spectrometers during the KORUS-AQ field study.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 11(9): 4943-4961, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1431211",
      "keyword": [
        "formaldehyde columns",
        "satellite validation",
        "pandora",
        "KORUS-AQ",
        "surface formaldehyde",
        "mixing heights",
        "column formaldehyde"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "accessURL": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-21",
      "references": [
        "https://doi.org/10.5194/amt-11-4943-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www-air.larc.nasa.gov/missions/korus-aq/"
      },
      "accessRights": "public"
    },
    {
      "title": "Metals removal from mine influenced water",
      "description": "The primary objective of this study was to evaluate the long-term effectiveness of a chitin (crushed crab shells) substrate compared to traditional ligneous (wood chips, hay, and manure) substrates on Zn, other metals (Al, Cu, Fe, Cd, Mn), and sulfate removal in MIW under anaerobic column bioreactor conditions. The secondary objective includes the evaluation of aeration and neutralization water pretreatment on the removal of the mentioned contaminants. \n\nThis dataset is associated with the following publication:\nPinto, P., S. Al-Abed, and J. McKernan. Comparison of the efficiency of chitinous and ligneous substrates in metal and sulfate removal from mining-influenced water.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 227(1): 321-328, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/10001",
      "keyword": [
        "acid mine drainage",
        "zinc",
        "manganese",
        "sulfate reducing bacteria",
        "anaerobic bioreactors",
        "sulfate reduction rate"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Key metals mass balance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10001/Key%20metals%20mass%20balance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sulfur Mass Balance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10001/Sulfur%20Mass%20Balance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Target metals in mol per liter Formosa Columns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10001/Target%20metals%20in%20mol%20per%20liter%20Formosa%20Columns.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-16",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.08.113"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/10001/documents/Data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Additional benefits of federal air quality rules: model estimates of controllable biogenic secondary organic aerosol",
      "description": "Dataset is a link to the publically available CMAQ v5.1 model code. The following update was also implemented: \nhttps://github.com/USEPA/CMAQ/blob/5.2/CCTM/docs/Release_Notes/AH3OPJ_IEPOX_update.md. \n\nThis dataset is associated with the following publication:\nCarlton, A., H. Pye, K. Baker, and C. Hennigan. Additional Benefits of Federal Air-Quality Rules: Model Estimates of Controllable Biogenic Secondary Organic Aerosol.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(16): 9254–9265, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502526",
      "keyword": [
        "CMAQ",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dx.doi.org/10.5281/zenodo.1079909",
          "accessURL": "https://dx.doi.org/10.5281/zenodo.1079909",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.1021/acs.est.8b01869"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ballast water exchange and invasion risk posed by intra-coastal vessel traffic: An evaluation using high throughput sequencing  ",
      "description": "Dataset including all data for samples analyzed in Darling et al. 2018 Environmental Science & Technology. Includes OTU counts for all samples, taxonomic assignments for all OTUs, variables associated with vessels, and family-level counts across all vessels (used for indicator analysis). File also includes metadata describing all variables. \n\nThis dataset is associated with the following publication:\nDarling, J., J. Martinson, Y. Gong, S. Okum, E. Pilgrim, K. Pagenkopp Lohan, J. Carney, and G. Ruiz. Ballast Water Exchange and Invasion Risk Posed by Intracoastal Vessel Traffic: An Evaluation Using High Throughput Sequencing.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(17): 9926-9936, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435417",
      "keyword": [
        "ballast water",
        "invasive species",
        "ballast water exchange",
        "high throughput sequencing",
        "metabarcoding"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "ES&Tdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435417/ES%26Tdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-21",
      "references": [
        "https://doi.org/10.1021/acs.est.8b02108"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Plasma Standards",
      "description": "Digital droplet PCR fluorsence amplitude values from which plasmid copy concentrations of DNA standards were determined as described in D-EMMD-MEB-018-SOP-01and Journal article. Summary of  stability testing results also provided. \n\nThis dataset is associated with the following publication:\nSivaganesan, M., M. Varma, S. Siefring, and R. Haugland. Quantification of plasmid DNA standards for U.S. EPA fecal indicator bacteria qPCR methods by droplet digital PCR analysis.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 152: 135-142, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500439",
      "keyword": [
        "digital droplet pcr",
        "dna standards",
        "draft method c",
        "epa methods 1609.1",
        "epa methods 1611.1",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "Batch2_Data_Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Data_Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_stability_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_stability_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube1-5_Data_Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube1-5_Data_Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube4_plasmid_amplitudes_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube4_plasmid_amplitudes_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube3_plasmid_amplitudes_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube3_plasmid_amplitudes_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube2_plasmid_amplitudes_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube2_plasmid_amplitudes_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube1_plasmid_amplitudes_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube1_plasmid_amplitudes_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Batch2_Tube5_plasmid_amplitudes_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500439/Batch2_Tube5_plasmid_amplitudes_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-09-22",
      "references": [
        "https://doi.org/10.1016/j.mimet.2018.07.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evolution of the US energy system and related emissions under varying social and technological development paradigms Dataset",
      "description": "This data is associated with the manuscript \"Evolution of the US energy system and related emissions under varying social and technological development paradigms: Plausible scenarios for use in robust decision making\" which will be submitted to Environmental Science & Technology (ES&T). The research considers how the US energy system might evolve under four possible scenarios, including different technologies and different emission outcomes. \n\nThis dataset is associated with the following publication:\nBrown, K., T. Hottle, R. Bandyopadhyay, S. Babaee, R. Dodder, O. Kaplan, C. Lenox, and D. Loughlin. Evolution of the US energy system and related emissions under varying social and technological development paradigms: Plausible scenarios for use in robust decision making.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  8027-8038, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1411860",
      "keyword": [
        "scenarios",
        "scenario planning",
        "air quality",
        "MARKAL",
        "energy",
        "externality",
        "energy modeling"
      ],
      "contactPoint": {
        "fn": "Kristen Brown",
        "hasEmail": "mailto:brown.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "PathwaysFutureScenarios_ScienceHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411860/PathwaysFutureScenarios_ScienceHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-08",
      "references": [
        "https://doi.org/10.1021/acs.est.8b00575"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dry Dep Comp_Wu et al_2018",
      "description": "Datasets present results of comparisons of five commonly dry deposition algorithms for ozone and sulfur dioxide, including diurnal patterns in deposition velocities, leaf-level processes such as stomatal conductance, and sensitivity to use of modeled versus measured meteorology. \n\nThis dataset is associated with the following publication:\nWu, Z., D. Schwede, R. Vet, J. Walker, M. Shaw, R. Staebler, and L. Zhang. Evaluation and Intercomparison of Five North American Dry Deposition Algorithms at a Mixed Forest Site.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 10(7): 1571-1586, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1422888",
      "keyword": [
        "Dry Deposition",
        "model evaluation",
        "sulfur",
        "Ozone",
        "air-surface exchange",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Wu et al_DryDepModComp_2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422888/Wu%20et%20al_DryDepModComp_2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-28",
      "references": [
        "https://doi.org/10.1029/2017ms001231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub Supplement",
      "description": "The study created 45 3-year regional climate simulations by downscaling historical reanalysis data using the WRF model.  The simulations are not an ensemble, but rather are explorations of various nudging strategies to elucidate and recommend best practices.  The data available with this research effort are a suite of 2D fields of hourly data in WRF I/O API (built upon netCDF) for each simulation and for the full 3-year study period.  There are additional post-processed and statistical data that were generated and archived for this effort.  Metadata associated with each simulation are in standard netCDF format. \n\nThis dataset is associated with the following publication:\nSpero, T., C. Nolte, M. Mallard, and J. Bowden. A Maieutic Exploration of Nudging Strategies for Regional Climate Applications Using the WRF Model.   JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY. American Meteorological Society, Boston, MA, USA, 57: 1883-1906, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500862",
      "keyword": [
        "WRF",
        "nudging",
        "regional climate modeling",
        "dynamical downscaling"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub supplement.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500862/ScienceHub%20supplement.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-16",
      "references": [
        "https://doi.org/10.1175/jamc-d-17-0360.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CADETS Results by Site 050918",
      "description": "Measured, continuous, and intermittent Allegheny River conductivity by site. \n\nThis dataset is associated with the following publication:\nBrown, K., G. Norris, K. Kovalcik, A. Kamal, K. Patnode, and M. Landis. Signal Decomposition of Conductivity Sensor Measurements on the Allegheny River, Pennsylvania.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 144(10): 04018103, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500033",
      "keyword": [
        "Allegheny River",
        "conductivity",
        "Frequency",
        "water sensor"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "CADETS Results by Site 050918.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500033/CADETS%20Results%20by%20Site%20050918.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-09",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0001423"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Defining the Taxonomic Domain of Applicability for Mammalian-Based High-Throughput Screening Assays",
      "description": "Final Data SeqAPASS v3.0.zip contains datasets from Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool versions 3.0 for all 497 proteins evaluated using Level 1 (primary amino acid sequence comparisons) and Level 2 (functional domain(s) sequence comparisons) to understand conservation of HTS targets across species. Each folder is labeled by the protein accession (identification number and SeqAPASS version), with subfolders containing Level 1 and Level 2 output from the SeqAPASS tool.\nSeqAPASS v3.0 Data in Assay Groups.zip Contains all SeqAPASS data sorted by ToxCast Assay Group (as described in manuscript materials and methods). The original SeqAPASS data for each assay group are found in the folders titled Cell Adhesion, Cytochrome P450, Cytokine, DNA Binding, Esterase, G protein-coupled receptor, Growth Factor, Hydrolase, Ion Channel, Kinase, Lyase, Methyltransferase, Nuclear Receptor, Oxidoreductase, Phophatase, Protease, Protease Inhibitor, and Transporter. The Data_L1_Output folders and Data_L2_Output folders provide summaries of the Level 1 and Level 2 data comparing across datasets (See manuscript Supplemental Data, Legend for further details). \n\nThis dataset is associated with the following publication:\nLaLone, C., D. Villeneuve, J. Doering, B. Blackwell, T. Transue, C. Simmons, J. Swintek, S. Degitz, A. Williams, and G. Ankley. Defining the taxonomic domain of applicability for mammalian-based high-throughput screening assays..   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(23): 13960-13971, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1432209",
      "keyword": [
        "high-throughput screening",
        "Endocrine Disruptor Screening Program",
        "Thyroid axis",
        "steroidogenesis",
        "adverse outcome pathway",
        "ecotoxicology",
        "honey bee",
        "cross-species extrapolation",
        "screening and prioritization",
        "networks"
      ],
      "contactPoint": {
        "fn": "Carlie Lalone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "Final Data SeqAPASS v3.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432209/Final%20Data%20SeqAPASS%20v3.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SeqAPASS v3.0 Data in Assay Groups.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432209/SeqAPASS%20v3.0%20Data%20in%20Assay%20Groups.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-09",
      "references": [
        "https://doi.org/10.23719/1432209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1432209/documents/Data%20Dictionary%232.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Comparative Toxicity of Smoldering Versus Flaming Emissions from Various Biomass Fuels",
      "description": "This dataset includes physico-chemical characteristics of biomass smoke of five different fuels (red oak, peat, pine needles, pine, and eucalyptus) generated from a tube furnace system at two different combustion phases (smoldering and flaming) and also provides two toxicological outcomes (lung toxicity in mice and mutagenicity in Salmonella) associated with exposures to the biomass smoke PM collected by a cryo-trap system. \n\nThis dataset is associated with the following publication:\nKim, Y.H., S. Warren, T. Krantz, C. King, R. Jaskot, W.T. Preston, B. George, M. Hays, M. Landis, M. Higuchi, D. DeMarini, and I. Gilmour. Mutagenicity and Lung Toxicity of Smoldering Versus Flaming Emissions from Various Biomass Fuels: Implications for Health Effects from Wildland Fires.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 126(1): 1, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374721",
      "keyword": [
        "Mutagenicity",
        "particulate matter (PM)",
        "Biomass smoke",
        "emission factor",
        "Lung toxicity",
        "Wildfires",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Matthew Gilmour",
        "hasEmail": "mailto:gilmour.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Research Data_A-tb3d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374721/Research%20Data_A-tb3d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-10",
      "references": [
        "https://doi.org/10.1289/ehp2200"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1374721/documents/Dictionary_A-tb3d.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen and nitrogen isotope data for wheat and barley exposed to CeO2 nanoparticles",
      "description": "The effects of cerium oxide nanoparticles (CeO2-NPs) on 15N/14N ratio (δ15N) in wheat and barley were investigated.  Seedlings were exposed to 0 and 500 mg CeO2-NPs/L (Ce-0 and Ce-500, respectively) in hydroponic suspension supplied with NH4NO3, NH4+, or NO3-.  N uptake and δ15N discrimination (i.e. differences in δ15N of plant and δ15N of N source) were measured.  Results showed that N content and 15N abundance decreased in wheat but increased in barley.  Ce-500 only induced whole-plant δ15N discrimination (-1.48‰, P ≤ 0.10) with a simultaneous decrease (P ≤ 0.05) in whole-plant δ15N (-3.24‰) compared to Ce-0 (-2.74‰) in wheat in NH4+.  Ce-500 decreased (P ≤ 0.01) root δ15N of wheat in NH4NO3 and NH4+ (3.23 and -2.25‰, respectively) compared to Ce-0 (4.96 and -1.27‰, respectively), but increased (P ≤ 0.05) root δ15N of wheat in NO3- (3.27‰) compared to Ce-0 (2.60‰).  Synchrotron micro-XRF revealed the presence of CeO2-NPs in shoots of wheat and barley regardless of N source.  Although the longer-term consequences of CeO2-NP exposure on N uptake and metabolism are unknown, the results clearly show the potential for ENMs to interfere with plant metabolism of critical plant nutrients such as N even when toxicity is not observed. \n\nThis dataset is associated with the following publication:\nRico, C.M., M. Johnson, M.A. Marcus, and C.P. Andersen. Shifts in N and δ15N in wheat and barley exposed to cerium oxide nanoparticles.   NanoImpact. Elsevier B.V., Amsterdam,  NETHERLANDS, 11: 156-163, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1411219",
      "keyword": [
        "Synchrotron micro XRF",
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "hydroponics NHNO barley Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NHNO%20barley%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hydroponics NO wheat Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NO%20wheat%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hydroponics NHNO wheat Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NHNO%20wheat%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hydroponics NO barley Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NO%20barley%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hydroponics NH barley Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NH%20barley%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hydroponics NH wheat Isotope - data repository for Chris.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411219/hydroponics%20NH%20wheat%20Isotope%20-%20data%20repository%20for%20Chris.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-15",
      "references": [
        "https://doi.org/10.1016/j.impact.2018.08.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mass-spectrometric identification of cyclic phenone metabolites produced by rainbow trout liver slices ",
      "description": "Dataset  consists of 2 main files as follows: \n1. All main and Supplemental MS final figures used for manuscript preparation for better viewing (pdf file). Figures are copies of raw or analyzed data directly from the mass spectrometers experimental files generated during research.   Explanation of figures is provided in manuscript's text \n2. Xcel file (Mass calculator CPK metabolites original), containing a significant amount of  MS raw data obtained during the research for parent chemicals and metabolites. Emphasis was provided to the analyses of CPK metabolites. The file contains an Index page stating the content of each sheet. Because CPK metabolites were labelled differently as the research progressed, a Legend with the different labeling of each metabolite is presented on each sheet. \n\nThis dataset is associated with the following publication:\nKolanczyk, R., J. Serrano, M. Tapper, and P. Schmieder. A comparison of fish pesticide metabolic pathways with those of the rat and goat.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 94: 124-143, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502623",
      "keyword": [
        "cyclic phenones",
        "in vitro assays",
        "endocrine disruption",
        "fish liver slices",
        "estrogen receptor",
        "Vtg gene expression",
        "Metabolism",
        "GC-MS",
        "LC-MS/MS",
        "LC-ToF-MS"
      ],
      "contactPoint": {
        "fn": "Jose Serrano",
        "hasEmail": "mailto:serrano.jose@epa.gov"
      },
      "distribution": [
        {
          "title": "Publication Metabolite Identification  Figures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502623/Publication%20Metabolite%20Identification%20%20Figures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mass calculator cpk metabolites Original.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502623/mass%20calculator%20cpk%20metabolites%20Original.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-12",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2018.01.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NWCA Enzyme Decomposition Model",
      "description": "Dataset contains wetland site information, microbial respiration and ecoenzyme data, enzyme decomposition model, and the program file to run the data analyses. \n\nThis dataset is associated with the following publication:\nHill , B., C. Elonen , L. Seifert, A. May, and E. Tarquinio. Microbial ecoenzyme stoichiometry, nutrient limitation, and organic matter decomposition in wetlands of the conterminous United States.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 26: 425-439, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390085",
      "keyword": [
        "climate",
        "decomposition",
        "ecoenzymes",
        "land cover",
        "soil",
        "stoichiometry",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Brian Hill",
        "hasEmail": "mailto:hill.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "NWCA_EDM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390085/NWCA_EDM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NWCA EDM Program File.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390085/NWCA%20EDM%20Program%20File.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-29",
      "references": [
        "https://doi.org/10.1007/s11273-017-9584-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390085/documents/NWCA%20EDM%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Adrenergic and glucocorticoid receptor antagonists reduce ozone-induced lung injury and inflammation",
      "description": "This data set contains one Excel file. In this file are all the data pertaining to the effects of propranolol and mifepristone on ozone induced lung injury and inflammation . The different tabs of the spreadsheet pertain to each figure found in the manuscript. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow, M. Schladweiler, C. Miller, J. Dye, A. Ledbetter, J. Richards, K. Mauge-Lewis, M. McGee, and U. Kodavanti. Adrenergic and glucocorticoid receptor antagonists reduce ozone-induced lung injury and inflammation.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 339: 161-171, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1375329",
      "keyword": [
        "Stress hormones",
        "glucocorticoid receptor agonist",
        "adrenergic receptor agonist",
        "Ozone",
        "lung injury",
        "lung inflammation"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez 2017 Manuscript for AJP - Data for ScienceHub - Kodavanti.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375329/Henriquez%202017%20Manuscript%20for%20AJP%20-%20Data%20for%20ScienceHub%20-%20Kodavanti.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://doi.org/10.1016/j.taap.2017.12.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DEPS sulfate measurements",
      "description": "data consist of measurements of outdoor and personal sulfate measurements. \n\nThis dataset is associated with the following publication:\nBreen, M., Y. Xu, A. Schneider, R. Williams, and R. Devlin. Modeling individual exposures to ambient PM2.5 in the diabetes and the environment panel study (DEPS).   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 626: 807-816, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407621",
      "keyword": [
        "Building infiltration of air pollutants",
        "Fine Particulate Matter",
        "Exposure modeling",
        "health study"
      ],
      "contactPoint": {
        "fn": "Michael Breen",
        "hasEmail": "mailto:breen.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "specialxrfSulfur-feb-20-08_data_dic.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407621/specialxrfSulfur-feb-20-08_data_dic.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.01.139"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Three-dimensional WRF and CMAQ 2-km simulation output for California for January/February 2013",
      "description": "These data include three-dimensional meteorological (WRF) and air quality (CMAQ) model output for a 2-km domain covering the San Joaquin Valley (SJV) of California for January and February of 2013. The WRF and CMAQ parameters used in the analysis presented in the research effort are listed in the attached spreadsheet. The WRF/CMAQ data themselves are located on EPA's asm tape archive in the directories below. These data are available upon request from the authors, specifically K. Wyat Appel (appel.wyat@epa.gov).\n\n/asm/MOD3EVAL/DISCOVERAQ/SJV/2km_Meso/WRF\n/asm/MOD3EVAL/DISCOVERAQ/SJV/2km_Meso/CMAQ. \n\nThis dataset is associated with the following publication:\nFriberg, M., R. Kahn, J. Limbacher, W. Appel, and J. Mulholland. Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 12891-12913, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502511",
      "keyword": [
        "model evaluation",
        "PM2.5 air quality modeling",
        "air quality modeling",
        "Satellite Air Quality"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "WRFCMAQ_v502_DISCOVER-AQ_CA_2km_variable_list_used_MFRIBERG.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502511/WRFCMAQ_v502_DISCOVER-AQ_CA_2km_variable_list_used_MFRIBERG.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-16",
      "references": [
        "https://doi.org/10.5194/acp-18-12891-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502511/documents/WyatAppel_A-f7mf_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Great Sippewissett Marsh 2016 Data",
      "description": "Data in this spreadsheet include methane, carbon dioxide, and nitrous oxide fluxes; soil pH; surface and subsurface soil temperature; and surface elevation relative to mean high water for study plots at Great Sippewissett Marsh collected in July, August, September and October 2016. \n\nThis dataset is associated with the following publication:\nMartin, R., C. Wigand, E. Elmstrom, J. Lloret, and I. Valiela. Long-term nutrient addition increases respiration and nitrous oxide emissions in a New England salt marsh.   Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 8(10): 4958–4966, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1369029",
      "keyword": [
        "carbon dioxide",
        "Methane",
        "nitrous oxide",
        "nitrogen",
        "Salt marsh",
        "cape cod"
      ],
      "contactPoint": {
        "fn": "Rose Martin",
        "hasEmail": "mailto:martin.rose@epa.gov"
      },
      "distribution": [
        {
          "title": "SippewissettSciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369029/SippewissettSciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-10",
      "references": [
        "https://doi.org/10.1002/ece3.3955"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil organic matter and amphibian exposure dataset",
      "description": "Dataset containing experimental data and R scripts used for data analyses. \n\nThis dataset is associated with the following publication:\nVan Meter, R., D. Glinski, M. Henderson , and T. Purucker. Soil organic matter content effects on dermal pesticide bioconcentration in American toads (Bufo americanus)..   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(11): 2734–2741, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500922",
      "keyword": [
        "amphibians",
        "dermal exposure",
        "soil organic matter",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/vanmeteretal2016_etc_amphibian_exposure_som",
          "accessURL": "https://github.com/puruckertom/vanmeteretal2016_etc_amphibian_exposure_som",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1002/etc.3439"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of contolled and spontaneous breathing on exhaled breath condensate characteristics",
      "description": "The datasets provide physicochemical endpoint values (volumes, pH) for exhaled breath condensate collected with spontaneous breathing and \"controlled\" breathing patterns. The controlled breathing was enabled with audiovisual signals with a new instrument. The variability of the endpoint values was analyzed. \n\nThis dataset is associated with the following publication:\nWinters, B., J. Pleil, M. Angrish, M. Stiegel, T. Risby, and M. Madden. Standardization of the collection of exhaled breath condensate and exhaled breath aerosol using a feedback regulated sampling device.   Journal of Breath Research. Institute of Physics Publishing, Bristol,  UK, 11(4): 1, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503038",
      "keyword": [
        "cellular volatiles",
        "high-throughput in vitro screening assay",
        "cytochromeP450"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Winters 2017 SciHub data figs 3_4_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503038/Winters%202017%20SciHub%20data%20figs%203_4_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-18",
      "references": [
        "https://doi.org/10.1088/1752-7163/aa8bbc"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone and IUGR CMiller",
      "description": "Data related to the effects of peri-implantation ozone exposure on maternal and fetal health outcomes at the end of gestation. \n\nThis dataset is associated with the following publication:\nMiller, C., J. Dye, A. Ledbetter, M. Schladweiler, J. Richards, S. Snow, C. Wood, A. Henriquez, L. Thompson, A. Farraj, M. Hazari, and U. Kodavanti. Uterine Artery Flow and Offspring Growth in Long-Evans Rats following Maternal Exposure to Ozone during Implantation.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(12): 127005, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375338",
      "keyword": [
        "Ozone",
        "pregnancy",
        "fetal growth assessment",
        "preeclampsia"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "O3 and IUGR CMiller.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375338/O3%20and%20IUGR%20CMiller.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-14",
      "references": [
        "https://doi.org/10.1289/ehp2019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wetland Model Nitrogen and Carbon Data (Kent Island, MD, May 1995 - May 1997)",
      "description": "This data are composed of precipitation, wetland water depth, volumetric soil moisture, nitrogen and carbon concentrations measured into and out of a wetland, and model computed soil moisture content as well as nitrogen and carbon loading from the wetland. The wetland is a restored treatment wetland, located in Kent Island, MD. \n\nThis dataset is associated with the following publication:\nSharifi, A., M. Hantush, and L. Kalin. Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model.  Rao S. Govindaraju  Journal of Hydrologic Engineering. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 22(1): 1-18, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502641",
      "keyword": [
        "wetlands",
        "process-based model",
        "nitrogen",
        "carbon",
        "phosphorus",
        "wetland hydrology",
        "Richards Equation",
        "unsaturated soil",
        "Aerobic",
        "anaerobic",
        "Uncertainty Estimation",
        "Bayesian statistics",
        "sensitivity analysis",
        "GLUE",
        "Monte Carlo method"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "Mechansitic Wetland Model_unsaturated condition.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502641/Mechansitic%20Wetland%20Model_unsaturated%20condition.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-01",
      "references": [
        "https://doi.org/10.1061/(asce)he.1943-5584.0001441"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seasonal patterns of bole water content in old growth Douglas-fir",
      "description": "Supporting data for figures and tables in publication. See Readme file. \n\nThis dataset is associated with the following publication:\nBeedlow, P., R. Waschmann, E. Lee, and D.T. Tingey. Seasonal patterns of bole water content in old growth Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco).   AGRICULTURAL AND FOREST METEOROLOGY. Elsevier Science Ltd, New York, NY, USA, 242: 109-119, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503045",
      "keyword": [
        "climate change",
        "dendrochronology",
        "Douglas-fir",
        "Pacific Decadal Oscillation",
        "Pacific Northwest",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "Readme.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/Readme.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2004 - 2014 SGF(O) & SGF(Y) rBAI, RWC Bole and ASW Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/2004%20-%202014%20SGF%28O%29%20%26%20SGF%28Y%29%20rBAI%2C%20RWC%20Bole%20and%20ASW%20Data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2004 - YTD SGF(O) & SGF(Y) Theta Probe Hourly Data, w_ Climate Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/2004%20-%20YTD%20SGF%28O%29%20%26%20SGF%28Y%29%20Theta%20Probe%20Hourly%20Data%2C%20w_%20Climate%20Data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Coefficient Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/Coefficient%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Smoothed RWC, rBAI, Climate.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/Smoothed%20RWC%2C%20rBAI%2C%20Climate.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tissue Moisture, THETA_PROBE_TREES_SG_2004 - 2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503045/Tissue%20Moisture%2C%20THETA_PROBE_TREES_SG_2004%20-%202015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-24",
      "references": [
        "https://doi.org/10.1016/j.agrformet.2017.04.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Varroapop sensitivity analysis scripts and output",
      "description": "Code repository for scripts and model output associated with sensitivity analysis of the VarroaPop honeybee hive simulation model. \n\nThis dataset is associated with the following publication:\nKuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500920",
      "keyword": [
        "pollinator",
        "honey bee",
        "sensitivity analysis",
        "colony population model",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/kuanetal_varroapop_wrapper",
          "accessURL": "https://github.com/puruckertom/kuanetal_varroapop_wrapper",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2018.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HTAP_v2.2: a mosaic of regional and global emission gridmaps for 2008 and 2010 to study hemispheric transport of air pollution.",
      "description": "This dataset provides the EPA portion of a compilation of different regional gridded inventories, including  data from Environment Canada for Canada, the European Monitoring and Evaluation Programme (EMEP) and Netherlands Organisation for Applied Scientific Research (TNO) for Europe, and the Model Inter-comparison Study in Asia (MICS-Asia)’s for China, India and other Asian countries, and  gap-filled emission gridmaps of the Emissions Database for Global Atmospheric Research (EDGARv4.3) for the rest of the world (mainly South-America, Africa, Russia and Oceania).\nThe EPA data is included as netCDF formatted datasets at 0.1º × 0.1º resolution for 2010. This was the “raw” data that was incorporated into the global mosaics.\nEmissions from seven main categories of human activities (power, industry, residential, agriculture, ground transport, aviation and shipping) were estimated and spatially distributed on a common grid of 0.1º × 0.1º longitude-latitude, to yield monthly, global, sector-specific gridmaps for each substance and year.\nEmission summaries from the supplemental information in the published journal article are also included. \n\nThis dataset is associated with the following publication:\nJanssens-Maenhout, G., M. Crippa, D. Guizzardi, F. Dentener, M. Muntean, G. Pouliot, T. Keating, Q. Zhang, J. Kurokawa, R. Wankmuller, H. Denier van der Gon, J.J.P. Kuenen, Z. Klimont, G. Frost, S. Darras, B. Koffi, and M. Li. HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15(19): 11411-11432, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502632",
      "keyword": [
        "HTAP",
        "Global Emission Inventory",
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "Pouliot_A-k0pp_Dataset_20180829.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502632/Pouliot_A-k0pp_Dataset_20180829.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pouliot_A-k0pp_Dataset_20180910.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502632/Pouliot_A-k0pp_Dataset_20180910.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-08-06",
      "references": [
        "https://doi.org/10.5194/acp-15-11411-2015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Role of TRPA1 in acrolein cardiac effects in mice",
      "description": "Cardiac and ventilatory physiological data for mice exposed to acrolein. \n\nThis dataset is associated with the following publication:\nKurhanewicz, N., A. Ledbetter, A. Farraj, and M. Hazari. TRPA1 mediates the cardiac effects of acrolein through parasympathetic dominance but also sympathetic modulation in mice.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 347: 104-114, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407607",
      "keyword": [
        "heart rate variability",
        "ventilatory function",
        "autonomic",
        "air pollution",
        "MICE",
        "reflex",
        "TRPA1",
        "cardiovascular"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "Autonomic redo HRV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/Autonomic%20redo%20HRV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Autonomic redo HRV_KO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/Autonomic%20redo%20HRV_KO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Autonomic Redo Ventilatory Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/Autonomic%20Redo%20Ventilatory%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Autonomic Redo_effective dose.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/Autonomic%20Redo_effective%20dose.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HRV_compiled_first drug administration.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/HRV_compiled_first%20drug%20administration.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HRV Redo BAL and GPX data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407607/HRV%20Redo%20BAL%20and%20GPX%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-01-31",
      "references": [
        "https://doi.org/10.1016/j.taap.2018.03.027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Methane Transect Dataset",
      "description": "This project area “OTM 33 Mobile Emission Measurements” covers research on remote emissions quantification with the various forms of mobile monitoring approaches. There will be multiple data sets included in this project. The metadata and data dictionaries are included with each data set. The data sets with metadata and data dictionaries are as follows:\r\n\r\nMethane Transect data Set:   The dataset contains mobile methane concentration measurements acquired at 10 samples per second data acquisition rate, collected while driving along transects downwind of a methane source.  The data consists of GPS coordinates, methane concetrion data and transect indicators.  The controlled methane release experiment was conducted on May 15, 2010 in Durham, North Carolina, where three passes were made for the one CR experiment and the point-source release rate was controlled at S = 0.6 g/s. Additionally, the dataset contains four field studies conducted in Colorado on four separate days in July 2010, with the number of passes for each study ranging from two to five. \n\nThis dataset is associated with the following publication:\nAlbertson, J., T. Foster-Wittig, A. Swingler, G. Foderaro, S. Ferrari, S. Amin, M. Modrak, H. Brantley , and E. Thoma. A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(5): 2487-2497, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1390071",
      "keyword": [
        "OTM 33",
        "Mobile Measurements",
        "GMAP",
        "Methane",
        "Fugitive Emissions"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Methane Transect Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390071/Methane%20Transect%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-27",
      "references": [
        "https://doi.org/10.1021/acs.est.5b05059"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Li et al nitrification inhibition review",
      "description": "Li et al nitrification inhibition review. \n\nThis dataset is associated with the following publication:\nKapoor, V., X. Li, C. Impellitteri , K. Chandran, and J. Santodomingo. Use of Functional Gene Expression and Respirometry to Study Wastewater Nitrification Activity after Exposure to Low Doses of Copper.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 23(7): 6443-6450, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390094",
      "keyword": [
        "nitrification",
        "RNA"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "qPCR_results Ni Cd Zn Pb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390094/qPCR_results%20Ni%20Cd%20Zn%20Pb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nitrification_Inhibition-10_Inorganics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390094/Nitrification_Inhibition-10_Inorganics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1007/s11356-015-5843-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The First Acid Ionization Constant of Cyanuric Acid from 5 to 35 °C",
      "description": "No data set is provided. This dataset is not publicly accessible because: All the data is contained in the manuscript and supplementary information. It can be accessed through the following means: All the data is contained in the manuscript and supplementary information. Format: All the data is contained in the manuscript and supplementary information. \n\nThis dataset is associated with the following publication:\nWahman, D. First Acid Ionization Constant of the Drinking Water Relevant Chemical Cyanuric Acid from 5 to 35 °C.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 4: 1522-1530, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1412697",
      "keyword": [
        "cyanuric acid"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2017-12-12",
      "references": [
        "https://doi.org/10.1039/c8ew00431e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PM and levoglucosan data",
      "description": "These are GC-MS data for producing the levoglucosan plot, black carbon data from an aethalometer, time series data of wind speed and normalized PM concentrations. As well as certain particle number and CO concentration data deltas. \n\nThis dataset is associated with the following publication:\nKimbrough , S., M. Hays , B. Preston, D. Vallero , and G. Hagler. Episodic Impacts from California Wildfires Identified in Las Vegas Near-Road Air Quality Monitoring.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(1): 18-24, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390103",
      "keyword": [
        "levoglucosan",
        "PM",
        "BC",
        "CO",
        "wildfire",
        "near-road",
        "ambient air",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "PM10_data_matlab_stepplot1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390103/PM10_data_matlab_stepplot1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lg_data_matlab_stepplot2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390103/Lg_data_matlab_stepplot2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-08-20",
      "references": [
        "https://doi.org/10.1021/acs.est.5b05038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used and links to data and metadata",
      "description": "The provided link will take users to all the data and metadata used in this project. \n\nThis dataset is associated with the following publication:\nAngradi, T., P. Ringold, and K. Hall. Water clarity measures as indicators of recreational benefits provided by U.S. lakes: Swimming and aesthetics.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 93: 1005-1019, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1434903",
      "keyword": [
        "EPA National Lake Assessment"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-27",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2018.06.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Results for calcification and ingestion and retention rates of microbeads and microplastics. ",
      "description": "Data is for three experiments. The first experiment examined calcification effects of ingested microbeads. The second experiment observed ingestion rates of four size classes of microbeads and how long they were retained. The third experiment observed and compared ingestion rates of one microbead size class and microfibers 3-5mm in length. \n\nThis dataset is associated with the following publication:\nHankins, C., A. Duffy, and K. Drisco. Scleractinian coral microplastic ingestion: Potential calcification effects, size limits, and retention.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 135: 587-593, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435612",
      "keyword": [
        "coral",
        "microplastic",
        "ingestion",
        "Retention"
      ],
      "contactPoint": {
        "fn": "Cheryl Hankins",
        "hasEmail": "mailto:hankins.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "AllData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435612/AllData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2018.07.067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435612/documents/DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the Social and Environmental Costs of Institutions Nitrogen Footprints",
      "description": "This dataset allowed estimates the damage costs associated with the institutional nitrogen (N) footprint and explores how this information could be used to create more sustainable institutions. Potential damages associated with the release of nitrogen oxides (NOx), ammonia (NH3), and nitrous oxide (N2O) to air and release of nitrogen to water were estimated\nusing existing values and a cost per unit of nitrogen approach. These damage cost values were then applied to two universities. Annual potential damage costs to human health, agriculture, and natural ecosystems associated with the N footprint of institutions were $11.0 million (2014) at the University of Virginia (UVA) and $3.04 million at the University of New Hampshire (UNH). Costs associated with the release of nitrogen oxides to human health, in particular the use of coal-derived energy, were the largest component of damage at UVA. At UNH the energy N footprint is much lower because of a landfill cogeneration source, and thus the majority of damages were associated with food production. Annual damages associated with release of nitrogen from food production were very similar\nat the two universities ($1.80 million vs. $1.66 million at UVA and UNH, respectively). These damages also have implications for the extent and scale at which the damages are felt. For example, impacts to human health from energy and transportation are generally larger near the power plants and roads, while impacts from food production can be distant from the campus. Making this information available to institutions and communities can improve their understanding of the damages associated with the different nitrogen forms and sources, and inform decisions about\nnitrogen reduction strategies. \n\nThis dataset is associated with the following publication:\nCompton, J., A. Leach, E. Castner, and J. Galloway. Assessing the Social and Environmental Costs of Institutional Nitrogen Footprints.   Sustainability: The Journal of Record. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 10(2): 114-122, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407639",
      "keyword": [
        "benefit-cost analysis",
        "nitrogen",
        "nutrients",
        "ecosystem services",
        "atmospheric deposition",
        "fertilizer",
        "point sources",
        "N-fixation"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://online.liebertpub.com/doi/pdfplus/10.1089/sus.2017.29099.jec",
          "accessURL": "https://online.liebertpub.com/doi/pdfplus/10.1089/sus.2017.29099.jec",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub data ORD-019271.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407639/SciHub%20data%20ORD-019271.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-27",
      "references": [
        "https://doi.org/10.1089/sus.2017.29099.jec"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mineralogical Evidence of Galvanic Corrosion in Drinking Water Lead Pipe Joints",
      "description": "The importance of galvanic corrosion as a mechanism of toxic lead release into drinking water has been under scientific debate in the U.S. for over 30 years. Visual and mineralogical analysis of 28 lead pipe joints, excavated after 60+ years by 8 U.S water utilities, provided the first direct view of galvanic corrosion presence/extent in practice. Three patterns were observed: (1) no galvanic corrosion; (2) galvanic corrosion with lead pipe cathodic relative to anodic copper/brass; (3) galvanic corrosion with lead pipe anodic relative to cathodic copper/brass. Pattern 3 is consistent with the order of increasing nobility found in empirical galvanic series (lead, brass, copper). Pattern 2 is consistent with galvanic battery reversion, possibly depending on certain water quality and/or flow conditions. A variety of copper-sulfate minerals (Pattern 2), and lead-sulfate and lead -chloride minerals (Pattern 3) were identified to form in the galvanic zones, with geochemical modeling confirming the required pH drop from the bulk water level to pH 3.0-4.0 (Pattern 2) and pH<5.5 (Pattern 3), as well as the migration of chloride and sulfate ions toward the sacrificial anode. Despite joints being over 60 years old, galvanic zones in Pattern 3 were active and possibly posed an important source of lead to drinking water. This dataset is not publicly accessible because: Overall, due to the nature of this observational research, no additional datasets would be useful to provide to the public. Most raw datasets in this research effort are not meaningful in x-y format and are not even readable by the public unless they own specialized software licenses, know how to use all of the software, and can interpret the data in its various formats as they relate to the project. The remainder of the information is photographs and tables with the raw data already included. It can be accessed through the following means: The data are generally very specific to the research topics explored, but could be shared with other researchers if requested. Interested parties who own and know how to use the specialized software involved in this research effort, may request the datasets by contacting the authors (our approved SDMP explains where all these records are located). Format: There is no single dataset and dataset format. The information is comprised of different files and electronic formats, mostly associated with specialized proprietary software that cannot be converted to x-y datasets in any meaningful way. The remainder of the information is photographs and tables with the raw data already included, so no additional raw data are needed for those. Our approved SDMP explains the data format for all figures and tables in this research effort. \n\nThis dataset is associated with the following publication:\nDeSantis, M., S. Triantafyllidou, M. Schock, and D. Lytle. Mineralogical Evidence of Galvanic Corrosion in Drinking Water Lead Pipe Joints.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(6): 3365-3374, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1404938",
      "keyword": [
        "drinking water",
        "lead",
        "galvanic corrosion",
        "mineralogy",
        "geochemical modeling",
        "brass",
        "Copper"
      ],
      "contactPoint": {
        "fn": "Michael Desantis",
        "hasEmail": "mailto:desantis.mike@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-11",
      "references": [
        "https://doi.org/10.1021/acs.est.7b06010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set for A Call for an Aloft Air Quality Monitoring Network: Need and Feasibility",
      "description": "This data set contains all relevant data used in the creation of the 4 illustrations in the manuscript. In all cases the data have been processed (averaged/aggregated over space and/or time) from the original data which was at finer spatial or temporal resolution. The observational data sets are publicly available from the CASTNET site. Raw model outputs can be made available by contacting the corresponding author. \n\nThis dataset is associated with the following publication:\nMathur, R., C. Hogrefe, A. Hakami, S. Zhao, J. Szykman, and G. Hagler. A Call for an Aloft Air Quality Monitoring Network: Need, Feasibility, and Potential Value.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(19): 10903–10908, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1408773",
      "keyword": [
        "long-range transport",
        "background pollution",
        "boundary layer",
        "vertical profile",
        "atmospheric mixing"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure1_ptile_diurnal_pa_new.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/Figure1_ptile_diurnal_pa_new.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure1_InsetA_July2010_mod_obs_average_diurnal.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/Figure1_InsetA_July2010_mod_obs_average_diurnal.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure3_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/Figure3_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/Figure4_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2_data_rate_8am9am_trends_21years_castnet_2seasons.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/Figure2_data_rate_8am9am_trends_21years_castnet_2seasons.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-15",
      "references": [
        "https://doi.org/10.1021/acs.est.8b02496"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1408773/documents/DataDictionary_AloftNetwork.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Life Cycle Impact Assessment and Life Cycle Cost of both Legacy and Upgraded Systems",
      "description": "LCIA and LCC data for legacy and updated systems under various scenarios. \n\nThis dataset is associated with the following publication:\nMorelli, B., S. Cashman, C. Ma, J. Garland, J. Turgeon, L. Fillmore, D. Bless, and M. Nye. Effect of Nutrient Removal and Resource Recovery on Life Cycle Cost and Environmental Impacts of a Small Scale Water Resource Recovery Facility.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 10(10): 1-19, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407683",
      "keyword": [
        "biogas",
        "chp",
        "biological nutrient removal",
        "resource recovery",
        "energy recovery"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "Bath AD & Compost Model_v2_5.8.17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407683/Bath%20AD%20%26%20Compost%20Model_v2_5.8.17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bath LCI_Legacy_v2_5.8.17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407683/Bath%20LCI_Legacy_v2_5.8.17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bath_LCIA Results_v3_5.30.17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407683/Bath_LCIA%20Results_v3_5.30.17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-06",
      "references": [
        "https://doi.org/10.3390/su10103546"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary material for Lee et al. in review: Harmonization and Revision of a National Diatom Dataset for Use in the Development of Water Quality Indicators",
      "description": "ABSTRACT\nDiatom data have been collected in large-scale biological assessments in the United States, such as the U.S. Environmental Protection Agency’s National Rivers and Streams Assessment (NRSA). However, the effectiveness of diatoms as indicators may suffer if inconsistent taxon identifications across different analysts obscure the relationships between assemblage composition and environmental variables. To reduce these inconsistencies, we harmonized the 2008-2009 NRSA data from nine analysts by updating names to current synonyms and by statistically identifying taxa with high analyst signal (taxa with more variation in relative abundance explained by the analyst factor, relative to environmental variables). We then screened a subset of samples with QA/QC data and combined taxa with mismatching identifications by the primary and secondary analysts. When these combined “slash groups” did not reduce analyst signal, we elevated taxa to the genus level or omitted taxa in difficult species complexes. We examined the variability explained by analyst in the original and revised datasets. Further, we examined how revising the datasets to reduce analyst signal can reduce inconsistency, thereby uncovering the variation in assemblage composition explained by total phosphorus (TP), an environmental variable of high priority for water managers. To produce a revised dataset with the greatest taxonomic consistency, we ultimately made 124 slash groups, omitted 7 taxa in the small naviculoid (e.g., Sellaphora atomoides) species complex, and elevated Nitzschia, Diploneis, and Tryblionella taxa to the genus level. Relative to the original dataset, the revised dataset had more overlap among samples grouped by analyst in ordination space, less variation explained by the analyst factor, and more than double the variation in assemblage composition explained by TP. Elevating all taxa to the genus level did not eliminate analyst signal completely, and analyst remained the most important predictor for the genera Sellaphora, Mayamaea, and Psammodictyon, indicating that these taxa present the greatest obstacle to consistent identification in this dataset. Although our process did not completely remove the analyst signal, this work clarifies the extent of the problem and provides a method to minimize analyst signal. Resolution of these taxonomic issues makes large datasets such as the NRSA more suitable for the development of diatom-based water quality indicators. This dataset is associated with the following publication:\nLee, S., I. Bishop, S. Spaulding, R. Mitchell, and L. Yuan. Taxonomic harmonization may reveal a stronger association between diatom assemblages and total phosphorus in large datasets..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 102: 166-174, (2019). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502631",
      "keyword": [
        "taxonomy",
        "data harmonization",
        "diatoms",
        "rivers and streams"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-09",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta data ",
      "description": "the data that was used to populate the tables and figures in the document. \n\nThis dataset is associated with the following publication:\nHuang, X., and T. Tolaymat. Gas Quantity and Composition from the Hydrolysis of Salt Cake from Secondary Aluminum Processing.  Majid Abbaspour  International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY,  1-12, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435606",
      "keyword": [
        "reactive waste",
        "aluminum dross",
        "landfills"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Tolaymat SC hydrolysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435606/Tolaymat%20SC%20hydrolysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-25",
      "references": [
        "https://doi.org/10.1007/s13762-018-1820-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimated floodplain map for the conterminous United States",
      "description": "Understanding the relationship between flood inundation and floodplains is critical for ecosystem and community health and well-being, as well as targeting floodplain and riparian restoration. Many communities in the United States, particularly those in rural areas, lack inundation maps due to the high cost of flood modeling. Only 60% of the conterminous United States has Flood Insurance Rate Maps (FIRMs) through the U.S. Federal Emergency Management Agency (FEMA). This EnviroAtlas dataset provides an estimate of the 100-year floodplain for the conterminous United States at 30-meter resolution to fill the gaps in the FIRM. The model hit rate for the CONUS was 0.79 compared to the FIRM, indicating that the model captured 79% of the 100-year floodplain identified by FEMA. This product provides complete coverage for the CONUS by identifying floodplains in areas without FIRMs, while also identifying floodplains in tributaries sometimes excluded by FEMA. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets) or journal article (https://doi.org/10.1016/j.scitotenv.2018.07.353). This dataset is useful for evaluating the potential value of ecosystem services provided by floodplains. The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation. These data are not meant to replace or supplement FEMA Flood Insurance Rate Maps. \n\nThis dataset is associated with the following publication:\nWoznicki, S., J. Baynes, S. Panlasigui, M. Mehaffey, and A. Neale. Development of a spatially complete floodplain map of the conterminous United States using random forest.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 647: 942-953, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503085",
      "keyword": [
        "Floodplain",
        "random forest",
        "EnviroAtlas",
        "GIS",
        "machine learning",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "Sean Woznicki",
        "hasEmail": "mailto:woznicki.sean@epa.gov"
      },
      "distribution": [
        {
          "title": "EnviroAtlas - Estimated floodplain map for CONUS - Random Forest Model Performance by HUC-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503085/EnviroAtlas%20-%20Estimated%20floodplain%20map%20for%20CONUS%20-%20Random%20Forest%20Model%20Performance%20by%20HUC-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas - Estimated floodplain map for CONUS - Random Forest Model Performance by landscape classifications.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503085/EnviroAtlas%20-%20Estimated%20floodplain%20map%20for%20CONUS%20-%20Random%20Forest%20Model%20Performance%20by%20landscape%20classifications.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas - Estimated floodplain map for CONUS - Random Forest Scaled Variable Importance by HUC-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503085/EnviroAtlas%20-%20Estimated%20floodplain%20map%20for%20CONUS%20-%20Random%20Forest%20Scaled%20Variable%20Importance%20by%20HUC-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/epadatacommons/ORD/EnviroAtlas/Estimated_floodplain_CONUS.zip",
          "accessURL": "https://gaftp.epa.gov/epadatacommons/ORD/EnviroAtlas/Estimated_floodplain_CONUS.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.07.353"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NEEAR Water Study-human markers",
      "description": "Data set consists of survey data containing PII, water quality sample test results for fecal indicator bacteria and additional supporting information. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Upon request to Tim Wade (wade.tim@epa.gov). Format: Data are stored in SAS datasets with codebooks in MS Word  documenting variables. \n\nThis dataset is associated with the following publication:\nNapier, M., R. Haugland, C. Poole, A. Dufour, J. Stewart, D. Weber, M. Varma, J. Lavender, and T. Wade. Exposure to human-associated fecal indicators and self-reported illness among swimmers at recreational beaches: A cohort study.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 16(1): 103, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503031",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-01",
      "references": [
        "https://doi.org/10.1186/s12940-017-0308-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NEEAR Water Study-Chemicals",
      "description": "data includes human health survey data, linked records of chemical measures and measures of water quality. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Upon request to Tim Wade (wade.tim@epa.gov). Format: Data are stored in SAS datasets with documented codebooks. \n\nThis dataset is associated with the following publication:\nNapier, M., C. Poole, J. Stewart, D. Weber, S. Glassmeyer, D. Kolpin, E. Furlong, A. Dufour, and T. Wade. Exposure to human-associated chemical markers of fecal contamination and self-reported illness among swimmers at recreational beaches.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(13): 7513-7523, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1408779",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2017-11-15",
      "references": [
        "https://doi.org/10.1021/acs.est.8b00639"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adaptation and application of multivariate AMBI (M-AMBI) in US coastal waters data",
      "description": "extensively in Europe, but not in the United States. In a previous study, we adapted AMBI for use in US coastal waters (US AMBI), but saw biases in salinity and score distribution when compared to locally calibrated indices.\nIn this study we modified M-AMBI for US waters and compared its performance to that of US AMBI. Index performance was evaluated in three ways: 1) concordance with local indices presently being used as management\ntools in three geographic regions of US coastal waters, 2) classification accuracy for sites defined a priori as good or bad and 3) insensitivity to natural environmental gradients. US M-AMBI was highly correlated with all three local indices and removed the compression in response seen in moderately disturbed sites with US AMBI.  This data set provides the data used to conduct these analyses and produce the tables and figures in the paper. \n\nThis dataset is associated with the following publication:\nPelletier, P., D. Gillett, A. Hamilton, T. Grayson, V. Hansen, E. Leppo, S. Weisberg, and A. Borja. Adaptation and application of multivariate AMBI (M-AMBI) in US coastal waters.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 89: 818-827, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1427171",
      "keyword": [
        "Benthos",
        "Marine benthic invertebrates",
        "benthic index"
      ],
      "contactPoint": {
        "fn": "Marguerite Pelletier",
        "hasEmail": "mailto:pelletier.peg@epa.gov"
      },
      "distribution": [
        {
          "title": "M-AMBI_ScienceHub_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1427171/M-AMBI_ScienceHub_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-24",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2017.08.067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coliphages and gastrointestinal illness in recreational waters: pooled analysis of six coastal beach cohorts",
      "description": "Data consists of health and survey data from epidemiological studies at beach sites and water quality measurements. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data can be accessed by request to Tim Wade: wade.tim@epa.gov. Format: Data are stored in comma delimited text files with codebooks in MS Word. \n\nThis dataset is associated with the following publication:\nBenjamin-Chung, J., B. Arnold, T. Wade, K. Schiff, J. Griffith, A. Dufour, S. Weisberg, and J. Colford. Coliphages and gastrointestinal illness in recreational waters: pooled analysis of six coastal beach cohorts.   EPIDEMIOLOGY. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 28(5): 644-652, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503101",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2017-01-16",
      "references": [
        "https://doi.org/10.1097/ede.0000000000000681"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figures in Assessing the Value Added of Population Modeling for Aquatic Exposures to Time-Varying Exposures.",
      "description": "Data used to create Figure 2 through 9 in the paper. Where appropriate raw data are also included. Each figure is in a separate worksheet. Also included are the daily and running averages of the three 30-year exposure time-series. \n\nThis dataset is associated with the following publication:\nThursby, G., K. Sappington, and M. Etterson. Coupling Toxicokinetic-Toxicodynamic and Population Models for Assessing Aquatic Ecological Risks to Time-Varying Pesticide Exposures.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(10): 2633-2644, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407633",
      "keyword": [
        "Americamysis bahia",
        "matrix modeling",
        "population level risk assessment",
        "time-varying exposures"
      ],
      "contactPoint": {
        "fn": "Glen Thursby",
        "hasEmail": "mailto:thursby.glen@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub for ORD-023077.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407633/ScienceHub%20for%20ORD-023077.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-14",
      "references": [
        "https://doi.org/10.1002/etc.4224"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Tipping Point determinations",
      "description": "The attached zip file contains all of the source data, intermediate outputs and R-scripts used to calculate the tipping points reported in the Frank et al manuscript. \n\nThis dataset is associated with the following publication:\nChristopher, F., J. Brown, K. Wallace, J. Wambaugh, I. Shah, and T. Shafer. Defining toxicological tipping points in neuronal network development.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 354: 81-93, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407690",
      "keyword": [
        "developmental neurotoxicity",
        "Microelectrode array",
        "In vitro assay",
        "network development",
        "Chemical Screening"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "TippingPointData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407690/TippingPointData.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-06",
      "references": [
        "https://doi.org/10.1016/j.taap.2018.01.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Association between Dust Storms and Daily Non-Accidental Mortality in the United States, 1993-2005.",
      "description": "records of mortality, dust storms and demographic/census data for the United States. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data contained PII and were obtained under a licensing agreement with CDC. Data may be obtained from CDC/NCHS.  Contact Tim Wade (wade.tim@epa.gov) for other access options. Format: Raw data consist of fixed delimited text files from the CDC/NCHS with data documentation provided. Data are processed and analyzed in R and stored as R data files and/or comma delimited text files. R programs fully document the processing and variable naming conventions. \n\nThis dataset is associated with the following publication:\nCrooks , J., W. Cascio , M. Percy, J. Reyes , L. Neas , and E. Hilborn. The Association between Dust Storms and Daily Non-Accidental Mortality in the United States, 1993-2005..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124(11): 1735-43, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503105",
      "keyword": [
        "air quality",
        "cardiovascular mortality",
        "multiple stressors",
        "epidemiology"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2016-11-01",
      "references": [
        "https://doi.org/10.1289/ehp216"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hughes_A-0gb9_EH-TBB and BEH-TEBP in vitro dermal absorption 05/24/2017",
      "description": "The data is on 4 tabs, separated by species (rat, human) and chemical (EH-TBB and BEH_TEBP).  The data is by cell (2-4/skin), and includes %dose in receptor fluid over time, % unabsorbed, % absorbed and % penetrated. \n\nThis dataset is associated with the following publication:\nKnudsen, G., M. Hughes, J.M. Sanders, S. Hall, and L. Birnbaum. Estimation of human percutaneous bioavailability for two novel brominated flame retardants, 2-ethylhexyl tetrabromobenzoate (EH-TBB) and bis(2-ethylhexyl) tetrabromophthalate (BEH-TEBP), using the parallelogram approach.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 311: 117-127, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503100",
      "keyword": [
        "brominated flame retardant",
        "in vitro dermal absorption"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "Hughes_A-0gb9_EH-TBB and BEH-TEBP in vitro dermal data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503100/Hughes_A-0gb9_EH-TBB%20and%20BEH-TEBP%20in%20vitro%20dermal%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-22",
      "references": [
        "https://doi.org/10.1016/j.taap.2016.10.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "% Viability and zeta potential values of metal nanoparticles used in in vitro dermal irritation assays",
      "description": "1) % Viability of human reconstructed skin exposed to cerium, silver and titanium nanoparticles; 2) Zeta potential of the nanoparticles in media. \n\nThis dataset is associated with the following publication:\nMiyani, V., and M. Hughes. Assessment of the vitro dermal irritation of cerium silver and titanium nanoparticles in a human skin equivalent model.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 36(2): 145-151, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503095",
      "keyword": [
        "Nanoparticles",
        "skin",
        "irritation",
        "in vitro assays"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "HughesMichael_A-ffbw_Dermal Irritation Data_20170531.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503095/HughesMichael_A-ffbw_Dermal%20Irritation%20Data_20170531.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1080/15569527.2016.1211671"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transcriptional and physiological responses of nitrifying bacteria to heavy metal inhibition  ",
      "description": "SOUR (oxygen uptake rates) and qPCR for nitrification genes. \n\nThis dataset is associated with the following publication:\nKapoor , V., X. Li , M. Elk , K. Chandran, C. Impellitteri , and J. Santodomingo. Transcriptional and physiological responses of nitrifying bacteria to heavy metal inhibition.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49: 13454-13462, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503088",
      "keyword": [
        "nitrification",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "A-zs8c - Transcriptional and physiological response SOUR_results Ni Cd Zn Pb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503088/A-zs8c%20-%20Transcriptional%20and%20physiological%20response%20SOUR_results%20Ni%20Cd%20Zn%20Pb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A-zs8c - Transcriptional and physiological response qPCR_results Ni Cd Zn Pb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503088/A-zs8c%20-%20Transcriptional%20and%20physiological%20response%20qPCR_results%20Ni%20Cd%20Zn%20Pb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-01",
      "references": [
        "http://pubs.acs.org/doi/pdf/10.1021/acs.est.5b02748"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Inhibitory effect of cyanide on wastewater nitrification determined using SOUR and RNA-based gene-specific assays",
      "description": "SOUR and qPCR data. \n\nThis dataset is associated with the following publication:\nKapoor, V., M. Elk, and X. Li. Inhibitory effect of cyanide on wastewater nitrification determined using SOUR and RNA-based gene-specific assays.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 63(2): 155-161, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503089",
      "keyword": [
        "nitrification inhibition",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "A-98sv Inhibitory effect of CN paper data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503089/A-98sv%20Inhibitory%20effect%20of%20CN%20paper%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-16",
      "references": [
        "http://onlinelibrary.wiley.com/doi/10.1111/lam.12603/pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NHEERL MEA Toxcast Single Concentration Screening data",
      "description": "This file contains the data used to generate hit calls from neural activity recordings on microelectrode array (MEA) plates treated with ToxCast compounds at a single concentration. \n\nThis dataset is associated with the following publication:\nStrickland, J., M. Martin, A. Richard, K. Houck, and T. Shafer. Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates.   Archives of Toxicology. Springer, New York, NY, USA, 92(1): 487-500, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374534",
      "keyword": [
        "in vitro screening",
        "neurotoxicity",
        "Microelectrode array"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "NHEERL_MEA_TOXCAST_SS_DATA_20160615.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374534/NHEERL_MEA_TOXCAST_SS_DATA_20160615.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-30",
      "references": [
        "https://doi.org/10.1007/s00204-017-2035-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The impact of variation in scaling factors on the estimation of internal dose metrics:  a case study using bromodichloromethane (BDCM)",
      "description": "This dataset contains model code and supporting analysis files necessary to evaluate the impact of variability in human hepatic  scaling factors.  Variation in scaling factor values impacts metabolic rate parameter estimates (Vmax) and hence estimates of internal dose used in dose response analysis and biomarkers of exposure that are important for interpretation of epidemiology studies. \n\nThis dataset is associated with the following publication:\nKenyon, E., C. Eklund, J. Lipscomb, and R. Pegram. The impact of variation in scaling factors on the estimation of internal dose metrics:  a case study using bromodichloromethane (BDCM).1.   Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, USA, 26(8): 620-626, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1379171",
      "keyword": [
        "human",
        "hepatic",
        "PBPK model",
        "bromodichloromethane",
        "scaling factors",
        "variation",
        "in vitro to in vivo extrapolation",
        "IVIVE",
        "variability"
      ],
      "contactPoint": {
        "fn": "Elaina Kenyon",
        "hasEmail": "mailto:kenyon.elaina@epa.gov"
      },
      "distribution": [
        {
          "title": "ModelFile_ScalingVariabilityAdultBDCMcsl_JAT'16.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/ModelFile_ScalingVariabilityAdultBDCMcsl_JAT%2716.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AnalysisFiles_ScalingVariabilityAdult.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/AnalysisFiles_ScalingVariabilityAdult.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1080/15376516.2016.1225141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/documents/DataDictionary_ScalingFactorVariabilityAdult.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Tal et al A-qc09 dataset",
      "description": "This dataset includes data used to generate Figures 4C, 5B, 5C, and 5D in Tal et al. Screening for angiogenic inhibitors in zebrafish to evaluate a predictive model for developmental vascular toxicity. Reproductive Toxicology. 2017. Data underlying all other figures shown in the manuscript are included in the Supplemental Tables published with the original article. \n\nThis dataset is associated with the following publication:\nTal , T., C. Kilty, A. Smith, C. LaLone , B. Kennedy, A. Tennant , C. McCollum, M. Bondesson, T. Knudsen , S. Padilla , and N. Kleinstreuer. Screening for angiogenic inhibitors in zebrafish to evaluate a predictive model for developmental vascular toxicity.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 70-81, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503108",
      "keyword": [
        "Hyaloid vessel",
        "zebrafish",
        "Developmental Toxicity"
      ],
      "contactPoint": {
        "fn": "Tamara Tal",
        "hasEmail": "mailto:tal.tamara@epa.gov"
      },
      "distribution": [
        {
          "title": "A-qc09 dataset_20181022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503108/A-qc09%20dataset_20181022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-22",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2016.12.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems",
      "description": "This dataset provides all parameter values necessary to replicate the TIM/MCnest model analysis reported in the manuscript \"Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems\". \n\nThis dataset is associated with the following publication:\nEtterson, M., K. Garber, and E. Odenkirchen. Mechanistic modeling of insecticide risks to breeding birds in North American agroecosystems.   PLoS ONE. Public Library of Science,  CA, USA,  1-23, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407540",
      "keyword": [
        "pesticide",
        "Insecticide",
        "MCnest",
        "Terrestrial Investigation Model",
        "Birds",
        "Agroecosystems",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1371/journal.pone.0176998",
          "accessURL": "https://doi.org/10.1371/journal.pone.0176998",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-14",
      "references": [
        "https://doi.org/10.1371/journal.pone.0176998"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata included in dataset file",
      "description": "The data provided in the file are measurements (and calculations) of various morphological characteristics made on individual larval fish specimens. \n\nThis dataset is associated with the following publication:\nPeterson, G., and J. Lietz. Identification of Ruffe larvae (Gymnocephalus cernuus) in the St. Louis River, Lake Superior:  Clarification and guidance regarding morphological descriptions.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 205-210, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407651",
      "keyword": [
        "Great Lakes",
        "Aquatic invasive species",
        "sampling design",
        "DNA technology"
      ],
      "contactPoint": {
        "fn": "Gregory Peterson",
        "hasEmail": "mailto:peterson.greg@epa.gov"
      },
      "distribution": [
        {
          "title": "A-m386-RuffeID_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407651/A-m386-RuffeID_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-26",
      "references": [
        "https://doi.org/10.1016/j.jglr.2016.10.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Recreation and Illness Severity",
      "description": "Data included health survey data from beach goers and water quality measurements. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data contain PII and cannot be released publically. Limited deidentified data sets can be requested by contacting Tim Wade (wade.tim@epa.gov). Format: Data consist of comma delimited text files of survey data from beach goers and water quality measurements. Codebooks are in MS Word. \n\nThis dataset is associated with the following publications:\nDeFlorio-Baker, S., T. Wade , M. Turyk, and S. Dorevitch. Water Recreation and Illness Severity.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 5: 713-726, (2016).\nDeFlorio-Barker, S., T. Wade , R. Jones, L. Friedman, C. Wing, and S. Dorevitch. Estimated Costs of Sporadic Gastrointestinal Illness Associated with Surface Water Recreation: A Combined Analysis of Data from NEEAR and CHEERS Studies.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(2): 215-222, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503102",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2017-01-16",
      "references": [
        "https://doi.org/10.2166/wh.2016.002",
        "https://doi.org/10.1289/ehp130"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Region 5 RARE air manganese data set",
      "description": "A cross-sectional design was used where 86 residents of East Liverpool, Ohio, 100 residents from Marietta, Ohio and 90 residents from Mount Vernon, Ohio were recruited and participated in the study. The Marietta/Mount Vernon data collection took place in August, 2009 as this was the original study location. Marietta was an air manganese (air-Mn) exposed community and Mt. Vernon was a comparison community believed to have little or no air-Mn exposure. After receiving additional funding and approvals, East Liverpool was added and data collection occurred in November, 2011 using identical study protocols to the Marietta/Mount Vernon study with the exception of additional specimen collections of hair and toenails (only collected in East Liverpool). All participants underwent a neuropsychological battery of tests of mood, motor and cognitive function. A comprehensive health questionnaire was administered inquiring about sociodemographics, symptoms, diagnosed illnesses, medication use, health habits, work history, and dietary consumption (used to compute dietary intake of Mn and Fe). Additionally, the study included data acquisition on air monitoring and modeling, biomarkers, and health. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Because this dataset includes protected health information, public access is not available. Format: csv files. \n\nThis dataset is associated with the following publication:\nKornblith, E., S. Casey, D. Lobdell, M. Colledge, and R. Bowler. Environmental exposure to manganese in air: Tremor, motor and cognitive symptom profiles.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 64: 152-158, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503068",
      "keyword": [
        "air manganese",
        "neurologic outcomes"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2016-07-21",
      "references": [
        "https://doi.org/10.1016/j.neuro.2017.09.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Medication use associated with exposure to manganese in two Ohio towns",
      "description": "A cross-sectional design was used where 86 residents of East Liverpool, Ohio, 100 residents from Marietta, Ohio and 90 residents from Mount Vernon, Ohio were recruited and participated in the study. The Marietta/Mount Vernon data collection took place in August, 2009 as this was the original study location. Marietta was an air manganese (air-Mn) exposed community and Mt. Vernon was a comparison community believed to have little or no air-Mn exposure. After receiving additional funding and approvals, East Liverpool was added and data collection occurred in November, 2011 using identical study protocols to the Marietta/Mount Vernon study with the exception of additional specimen collections of hair and toenails (only collected in East Liverpool). All participants underwent a neuropsychological battery of tests of mood, motor and cognitive function. A comprehensive health questionnaire was administered inquiring about sociodemographics, symptoms, diagnosed illnesses, medication use, health habits, work history, and dietary consumption (used to compute dietary intake of Mn and Fe). Additionally, the study included data acquisition on air monitoring and modeling, biomarkers, and health. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Because this data set includes protected health information, public access is not available. Format: csv files. \n\nThis dataset is associated with the following publication:\nBowler, R., S. Adams, C. Wright, Y. Kim, A. Booty, M. Colledge, V. Gocheva, and D. Lobdell. Medication Use Associated with Exposure to Manganese in Two Ohio Towns.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH. Carfax Publishing Limited, Basingstoke,  UK, 26(5): 483-96, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503104",
      "keyword": [
        "medication use",
        "air manganese",
        "neurologic outcomes"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2016-06-13",
      "references": [
        "https://doi.org/10.1080/09603123.2016.1194381"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "County-level cumulative environmental quality associated with cancer incidence.",
      "description": "Population based cancer incidence rates were abstracted from National Cancer Institute,\nState Cancer Profiles for all available counties in the United States for which data were\navailable. This is a national county-level database of cancer data that are collected by state\npublic health surveillance systems. All-site cancer is defined as any type of cancer that is\ncaptured in the state registry data, though non-melanoma skin cancer is not included. All-site\nage-adjusted cancer incidence rates were abstracted separately for males and females.\nCounty-level annual age-adjusted all-site cancer incidence rates for years 2006–2010 were\navailable for 2687 of 3142 (85.5%) counties in the U.S. Counties for which there are fewer\nthan 16 reported cases in a specific area-sex-race category are suppressed to ensure\nconfidentiality and stability of rate estimates; this accounted for 14 counties in our study.\nTwo states, Kansas and Virginia, do not provide data because of state legislation and\nregulations which prohibit the release of county level data to outside entities. Data from\nMichigan does not include cases diagnosed in other states because data exchange\nagreements prohibit the release of data to third parties. Finally, state data is not available for\nthree states, Minnesota, Ohio, and Washington. The age-adjusted average annual\nincidence rate for all counties was 453.7 per 100,000 persons.\nWe selected 2006–2010 as it is subsequent in time to the EQI exposure data which was\nconstructed to represent the years 2000–2005. We also gathered data for the three leading\ncauses of cancer for males (lung, prostate, and colorectal) and females (lung, breast, and\ncolorectal). \n\nThe EQI was used as an exposure metric as an indicator of cumulative environmental\nexposures at the county-level representing the period 2000 to 2005. A complete description\nof the datasets used in the EQI are provided in Lobdell et al.  and methods used for index\nconstruction are described by Messer et al. The EQI was developed for the period 2000–\n2005 because it was the time period for which the most recent data were available when\nindex construction was initiated. The EQI includes variables representing each of the\nenvironmental domains. The air domain includes 87 variables representing criteria and\nhazardous air pollutants. The water domain includes 80 variables representing overall water\nquality, general water contamination, recreational water quality, drinking water quality,\natmospheric deposition, drought, and chemical contamination. The land domain includes 26\nvariables representing agriculture, pesticides, contaminants, facilities, and radon. The built\ndomain includes 14 variables representing roads, highway/road safety, public transit\nbehavior, business environment, and subsidized housing environment. The\nsociodemographic environment includes 12 variables representing socioeconomics and\ncrime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nJagai, J., L. Messer, K. Rappazzo , C. Gray, S. Grabich , and D. Lobdell. County-level environmental quality and associations with cancer incidence#.   Cancer. John Wiley & Sons Incorporated, New York, NY, USA, 123(15): 2901-2908, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503103",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1002/cncr.30709"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Additive interaction between heterogeneous environmental quality domains (air, water, land, sociodemographic and built environment) on preterm birth",
      "description": "The study population included live births from the National Center for Health Statistics (NCHS) for the entire United States for the years 2000–2005 for all 3141 counties. Domain-specific EQIs were used to represent environmental exposure at the county-level for the entire U.S. over the 2000–2005 time period. The EQI includes variables representing five environmental domains: air, water, land, built, and sociodemographic (2). The domain-specific indices include both beneficial and detrimental environmental factors. The air domain includes 87 variables representing criteria and hazardous air pollutants. The water domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nGrabich, S., K. Rappazzo, C. Gray, J. Jagai, Y. Jian, L. Messer, and D. Lobdell. Additive interaction between heterogeneous environmental quality domains (air, water, land, sociodemographic and built environment) on preterm birth.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 4: 232, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503121",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2016-10-24",
      "references": [
        "https://doi.org/10.3389/fpubh.2016.00232"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between environmental quality and mortality in the contiguous United States 2000-2005",
      "description": "Age-adjusted mortality rates for the contiguous United States in 2000–2005 were obtained from the Wide-ranging Online Data for Epidemiologic Research system of the U.S. Centers for Disease Control and Prevention (CDC) (2015). Age-adjusted mortality rates were weighted averages of the age-specific death rates, and they were used to account for different age structures among populations (Curtin and Klein 1995). The mortality rates for counties with < 10 deaths were suppressed by the CDC to protect privacy and to ensure data reliability; only counties with ≥ 10 deaths were included in the analyses. The underlying cause of mortality was specified using the World Health Organization’s International Statistical Classification of Diseases and Related Health Problems (10th revision; ICD-10). In this study, we focused on the all-cause mortality rate (A00-R99) and on mortality rates from the three leading causes: heart disease (I00-I09, I11, I13, and I20-I51), cancer (C00-C97), and stroke (I60- I69) (Heron 2013). We excluded mortality due to external causes for all-cause mortality, as has been done in many previous studies (e.g., Pearce et al. 2010, 2011; Zanobetti and Schwartz 2009), because external causes of mortality are less likely to be related to environmental quality. We also focused on the contiguous United States because the numbers of counties with available cause-specific mortality rates were small in Hawaii and Alaska. County-level rates were available for 3,101 of the 3,109 counties in the contiguous United States (99.7%) for all-cause mortality; for 3,067 (98.6%) counties for heart disease mortality; for 3,057 (98.3%) counties for cancer mortality; and for 2,847 (91.6%) counties for stroke mortality. The EQI includes variables representing five environmental domains: air, water, land, built, and sociodemographic (2). The domain-specific indices include both beneficial and detrimental environmental factors. The air domain includes 87 variables representing criteria and hazardous air pollutants. The water domain includes 80 variables representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination. The land domain includes 26 variables representing agriculture, pesticides, contaminants, facilities, and radon. The built domain includes 14 variables representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment. The sociodemographic environment includes 12 variables representing socioeconomics and crime. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nJian, Y., L. Messer, J. Jagai, K. Rappazzo, C. Gray, S. Grabich, and D. Lobdell. Associations between environmental quality and mortality in the contiguous United States 2000-2005.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(3): 355-362, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503120",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2017-03-01",
      "references": [
        "https://doi.org/10.1289/ehp119"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coastal final ecosystem goods and services (FEGS) and habitats meta-analysis data file",
      "description": "Coastal ecosystem goods and services (EGS) have steadily gained traction in the scientific literature over the last few decades, providing a wealth of information about underlying coastal habitat dependencies. This meta-analysis summarizes relationships between coastal habitats and final ecosystem goods and services (FEGS) users. Through a “weight of evidence” approach synthesizing information from published literature, we assessed habitat classes most relevant to coastal users. Approximately 2800 coastal EGS journal articles were identified by online search engines, of which 16% addressed linkages between specific coastal habitats and FEGS users, and were retained for subsequent analysis. Recreational (83%) and industrial (35%) users were most cited in literature, with experiential-users/hikers and commercial fishermen most prominent in each category, respectively. Recreational users were linked to the widest diversity of coastal habitat subclasses (i.e., 22 of 26). Whereas, mangroves and emergent wetlands were most relevant for property owners. We urge EGS studies to continue surveying local users and identifying habitat dependencies, as these steps are important precursors for developing appropriate coastal FEGS metrics and facilitating local valuation. In addition, understanding how habitats contribute to human well-being may assist communities in prioritizing restoration and evaluating development scenarios in the context of future ecosystem service delivery. \n\nThis dataset is associated with the following publication:\nLittles, C., C. Jackson, T. DeWitt, and M. Harwell. Linking People to Coastal Habitats: A meta-analysis of final ecosystem goods and services (FEGS) on the coast.   Ocean & Coastal Management. Elsevier, Shannon,  IRELAND, 165: 356-369, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1424684",
      "keyword": [
        "Ecosystem Goods and Services",
        "nearshore",
        "literature review"
      ],
      "contactPoint": {
        "fn": "Chanda Littles",
        "hasEmail": "mailto:littles.chanda@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript1_data-file_FINAL_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424684/Manuscript1_data-file_FINAL_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-08",
      "references": [
        "https://doi.org/10.1016/j.ocecoaman.2018.09.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for this project include human subjects PII and cannot be shared. ",
      "description": "Data on approximately 2 million births occurring in NJ, OH, and PA from 2000 - 2005. Linked to PM2.5 and ozone concentration estimates from EPA CMAQ fused model. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth data can be acquired through application to the state health statistics departments of NJ, OH, and PA. Contact author for code. rappazzo.kristen@epa.gov. Format: No data included. \n\nThis dataset is associated with the following publication:\nRappazzo, K., D. Lobdell, L. Messer, C. Poole, and J. Daniels. Comparison of gestational dating methods and implications for exposure-outcome associations: an example with PM2.5 and preterm birth.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 74(2): 138-143, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503119",
      "keyword": [
        "particulate matter",
        "preterm birth"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2017-02-15",
      "references": [
        "https://doi.org/10.1136/oemed-2016-103833"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen inputs and stream N concentrations NRSA 2008-2009 ",
      "description": "This is a combined dataset that includes data for 1966 of the 2008-2009 National Rivers and Streams Assessment watersheds.  The data includes watershed N inputs and stream TN, TON and DIN concentrations. \n\nThis dataset is associated with the following publication:\nBellmore, R., J. Compton, R. Brooks, E. Fox, R. Hill, D. Sobota, D. Thornbrugh, and M. Weber. Nitrogen inputs drive nitrogen concentrations in U.S. streams and rivers during summer low flow conditions.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 639: 1349-1359, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503062",
      "keyword": [
        "nitrogen",
        "streams",
        "rivers",
        "monitoring",
        "watersheds",
        "N inputs"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "N data for publication.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503062/N%20data%20for%20publication.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-27",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.05.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503062/documents/N%20data%20for%20publication.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Ecosystem Services Content Analysis Data",
      "description": "Content records of public media. \n\nThis dataset is associated with the following publication:\nWeber, M., C. Shannon, P. Ringold, and K. Blocksom. Rivers and Streams in the Media: Evaluating New Sources for Ecosystem Services Content.   Ecology and Society. Resilience Alliance Publications, Waterloo,  CANADA, 22(3): 15, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503076",
      "keyword": [
        "final ecosystem services",
        "media",
        "multivariate analysis of variance",
        "nonmetric multidimensional scaling",
        "rivers and streams",
        "content analysis"
      ],
      "contactPoint": {
        "fn": "Paul Ringold",
        "hasEmail": "mailto:ringold.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Blog_Channel.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Channel.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_Fish_Wildlife.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Fish_Wildlife.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_Info.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Info.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_Human.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Human.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_Motivations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Motivations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_Water.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_Water.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_with_Families.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_with_Families.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BlogCodeCounts.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/BlogCodeCounts.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Blog_wordcounts.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503076/Blog_wordcounts.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5751/ES-09496-220315",
          "accessURL": "https://doi.org/10.5751/ES-09496-220315",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-09-30",
      "references": [
        "https://doi.org/10.5751/es-09496-220315"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "QT_RR data for effects on diesel exhaust on cardiac conduction",
      "description": "This dataset includes QTc and RR values related to the electrocardiogram of rats exposed to either air or diesel exhaust. \n\nThis dataset is associated with the following publication:\nHazari , M., J. Lancaster, J. Starobin, A. Farraj , and W. Cascio. Diesel exhaust worsens cardiac conduction instability in dobutamine-challenged Wistar-Kyoto and spontaneously hypertensive rats.   Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 17(2): 120-129, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503098",
      "keyword": [
        "QTc",
        "electrocardiogram",
        "Diesel Exhaust",
        "cardiac",
        "arrhythmia",
        "Rats"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "QT_RR data_dobutamine challenge test_Hazari_Dec 2015a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503098/QT_RR%20data_dobutamine%20challenge%20test_Hazari_Dec%202015a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QT_RR data_dobutamine challenge test_Hazari_Dec 2015b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503098/QT_RR%20data_dobutamine%20challenge%20test_Hazari_Dec%202015b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QT_RR data_dobutamine challenge test_Hazari_Dec 2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503098/QT_RR%20data_dobutamine%20challenge%20test_Hazari_Dec%202015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QT_RR data_dobutamine challenge test_Hazari_Dec 2015b`.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503098/QT_RR%20data_dobutamine%20challenge%20test_Hazari_Dec%202015b%60.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-08",
      "references": [
        "https://doi.org/10.1007/s12012-016-9363-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cardiac effects of acrolein in mice and role of TRPA1",
      "description": "This data shows the heart rate, heart rate variability and cardiac mechanical function of mice exposed to acrolein or ozone. \n\nThis dataset is associated with the following publication:\nKurhanewicz, N., R. McIntosh-Kastrinsky, H. Tong, A. Ledbetter, L. Walsh, A. Farraj, and M. Hazari. TRPA1 mediates changes in heart rate variability and cardiac mechanical function in mice exposed to acrolein.   TOXICOLOGICAL AND APPLIED PHARMICOLOGY. Elsevier Science BV, Amsterdam,  NETHERLANDS, 324: 51-60, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503099",
      "keyword": [
        "acrolein",
        "cardiac",
        "TRPA1",
        "mouse"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "TRPA1 acrolein ozone Hazari_complete data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503099/TRPA1%20acrolein%20ozone%20Hazari_complete%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-04",
      "references": [
        "https://doi.org/10.1016/j.taap.2016.10.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SAS code used to analyze data and a datafile with metadata glossary",
      "description": "We compiled macroinvertebrate assemblage data collected from 1995 to 2014 from the St. Louis River Area of Concern (AOC) of western Lake Superior. Our objective was to define depth-adjusted cutoff values for benthos condition classes (poor, fair, reference) to provide tool useful for assessing progress toward achieving removal targets for the degraded benthos beneficial use impairment in the AOC. The relationship between depth and benthos metrics was wedge-shaped. We therefore used quantile regression to model the limiting effect of depth on selected benthos metrics, including taxa richness, percent non-oligochaete individuals, combined percent Ephemeroptera, Trichoptera, and Odonata individuals, and density of ephemerid mayfly nymphs (Hexagenia). We created a scaled trimetric index from the first three metrics. Metric values at or above the 90th percentile quantile regression model prediction were defined as reference condition for that depth. We set the cutoff between poor and fair condition as the 50th percentile model prediction. We examined sampler type, exposure, geographic zone of the AOC, and substrate type for confounding effects. Based on these analyses we combined data across sampler type and exposure classes and created separate models for each geographic zone. We used the resulting condition class cutoff values to assess the relative benthic condition for three habitat restoration project areas. The depth-limited pattern of ephemerid abundance we observed in the St. Louis River AOC also occurred elsewhere in the Great Lakes. We provide tabulated model predictions for application of our depth-adjusted condition class cutoff values to new sample data. \n\nThis dataset is associated with the following publication:\nAngradi, T., W. Bartsch, A. Trebitz, V. Brady, and J. Launspach. A depth-adjusted ambient distribution approach for setting numeric removal targets for a Great Lakes Area of Concern beneficial use impairment: Degraded benthos.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 43(1): 108-120, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1412675",
      "keyword": [
        "Great Lakes Areas of Concern",
        "Benthos",
        "reference"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "slrebug_TMI_082916.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412675/slrebug_TMI_082916.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "science_hub_20181024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412675/science_hub_20181024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-24",
      "references": [
        "https://doi.org/10.1016/j.jglr.2016.11.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Dose-Response Analysis of RNA-Seq Profiles in Archival Formalin-Fixed Paraffin-Embedded Samples.",
      "description": "se of archival resources has been limited to date by inconsistent methods for genomic profiling of degraded RNA from formalin-fixed paraffin-embedded (FFPE) samples. RNA-seq offers a novel way to address this problem. In this study we evaluated transcriptomic dose responses using RNA-seq in paired FFPE and frozen (FROZ) samples from two archival studies in mice, one recent (<2 years old) and the other older (>20 years old). Experimental treatments included di(2-ethylhexyl)phthalate (DEHP) and dichloroacetic acid (DCA) for the <2 and >20 year-old studies, respectively. Total RNA was ribodepleted and sequenced using the Illumina HiSeq platform. In the recent study, FFPE samples showed high concordance in total reads (98% vs FROZ), fold-change values of differentially expressed genes (DEGs) (R2 = 0.99), highly enriched target pathways (90% overlap with FROZ), and benchmark dose estimates for preselected target genes (-2% overall vs FROZ). In contrast, RNA-seq data from older FFPE samples had lower total reads (70% vs FROZ) and poor concordance in global DEGs and pathways. Despite a 99% loss of counts, dose responses were still evident for target genes in FFPE samples and positively correlated with paired FROZ samples. These findings highlight potential variability in the quality of RNA-seq data from FFPE samples. More recent FFPE samples were highly similar to FROZ samples in sequencing quality metrics, DEG profiles, and dose-response parameters, while further methods development is needed for older or lower-quality FFPE samples. This work should help broaden the use of archival resources in both chemical safety and translational science. \n\nThis dataset is associated with the following publication:\nHester, S., V. Bhat, B. Chorley, G. Carswell, W. Jones, L. Wehmas, and C. Wood. Dose-Response Analysis of RNA-Seq Profiles in Archival Formalin-Fixed Paraffin-Embedded (FFPE) Samples..   TOXICOLOGICAL SCIENCES. Society of Toxicology,    154(2): 202-213, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503172",
      "keyword": [
        "Dose-Response Analysis",
        "RNA-Seq Archival FFPE"
      ],
      "contactPoint": {
        "fn": "Susan Hester",
        "hasEmail": "mailto:hester.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "GEO seq_template_v2_lcw_2016-02-26.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503172/GEO%20seq_template_v2_lcw_2016-02-26.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78962",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78962",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw161"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503172/documents/Hester%20et%20al%20FFPE%20-%20Manuscript_v9f%20clean%20for%20clearance.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Prior knowledge-based approach for associating contaminants with biological effects: a case study in the St. Croix river basin, MN, WI, USA.",
      "description": "Concentrations of 127 organic chemicals measured in water samples collected from five locations in proximity to two municipal wastewater treatment plants in the St. Croix River basin, MN and WI, USA are included.  Additionally, gene expression in the livers of fathead minnows exposed in situ to the site water for 12 d is included. Gene expression was analyzed by oligonucleotide microarray and raw data are accessible through the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO), accession number GSE81263. Additional analyses performed on those data, including construction of knowledge assembly models from comparison of the detected chemicals data with associated genes from the comparative toxicogenomics database, pathway and gene ontology enrichment analyses performed on the gene expression data, and richness and concordance statistics from a Reverse Causal Reasoning-based statistical approach are included. \n\nThis dataset is associated with the following publication:\nSchroeder , A., D. Martinović-Weigelt, G. Ankley , K. Lee, N. Garcia-Reyero, E. Perkins, H. Schoenfuss, and D. Villeneuve. Prior knowledge-based approach for associating contaminants with biological effects: A case study in the St. Croix river basin, MN, WI, USA..   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 221: 427-436, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503123",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81263",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE81263",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ORD-012137 Supplementary Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503123/ORD-012137%20Supplementary%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-25",
      "references": [
        "https://doi.org/10.1016/j.envpol.2016.12.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Haselman et al 2016 Development of the LAGDA: effects of tOP or TB in Xenopus laevis from embryo to juvenile",
      "description": "These data are from two studies conducted to evaluate the performance of the draft Larval Amphibian Growth and Development Assay for incorporation into the U.S. EPA's Endocrine Disruptor Screening Program Tier II testing battery. 4-tert-octylphenol was chosen as an environmental estrogenic compound and 17-beta-trenbolone was chosen as an environmental androgenic compound. Although the effects of these model environmental endocrine disruptors are not novel, these chemicals were used essentially as positive controls to represent each of the potential modes of toxicity that could be encountered by future unknown compounds ordered to be run through the LAGDA in support of risk assessment. Endpoints evaluated were larval growth and metamorphic development, blood thyroid hormone, thyroid histopathology, juvenile growth, juvenile histopathology of the liver, gonads, kidneys and reproductive ducts. \n\nThis dataset is associated with the following publication:\nHaselman , J., P. Kosian , J. Korte , A. Olmstead, T. Iguchi, R. Johnson , and S. Degitz. Development of the larval amphibian growth and development assay: Effects of chronic 4-tert-octylphenol or 17ß-trenbolone exposure in Xenopus laevis from embryo to juvenile.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 36(12): 1639-1650, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503122",
      "keyword": [
        "EDSP",
        "LAGDA",
        "Xenopus laevis",
        "4-tert-octylphenol",
        "17-beta-trenbolone"
      ],
      "contactPoint": {
        "fn": "Jonathan Haselman",
        "hasEmail": "mailto:haselman.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Haselman_et_al_tOP&TB_data_Ar22z.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503122/Haselman_et_al_tOP%26TB_data_Ar22z.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-25",
      "references": [
        "https://doi.org/10.1002/jat.3330"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Simulated Smog in Rodent Models of Disease Dataset.",
      "description": "The dataset includes the draft main paper and supporting information file to be submitted to the journal, and also excel spread sheets containing the raw data which backs up the processed data used in the paper and supporting information file.\n    Data include exposure characterization (temperature, RH, pollutant levels, etc.), physiology data, serum data, lung inflammation data, viral burden data, PCR data, blood data, lung pathology data, and other miscellaneous data.  All the column headings and other relevant definitions and information are included in the data sets, and match the relevant data in the paper to be submitted. \n\nThis dataset is associated with the following publication:\nHargrove, M., S. Snow, R. Luebke, C. Wood, J. Krug, T. Krantz, C. King, C. Copeland, S. McCullough, K. Gowdy, U. Kodavanti, I. Gilmour, and S. Gavett. Effects of Simulated Smog Atmospheres in Rodent Models of Metabolic and Immunologic Dysfunction.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(5): 3062-3070, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1375711",
      "keyword": [
        "Smog",
        "photochemical reactions",
        "allergy",
        "bacterial infection",
        "influenza A",
        "diabetes",
        "pulmonary function",
        "pulmonary injury"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "MMH Smog Manuscript 2017 08 22.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375711/MMH%20Smog%20Manuscript%202017%2008%2022.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MMH Smog Manuscript 2017 08 22 supporting file.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375711/MMH%20Smog%20Manuscript%202017%2008%2022%20supporting%20file.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MMH Smog manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375711/MMH%20Smog%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MMH Smog Supplemental file data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375711/MMH%20Smog%20Supplemental%20file%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-17",
      "references": [
        "https://doi.org/10.1021/acs.est.7b06534"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multiplex ELISA MTF-1 and western blot raw data",
      "description": "Multiplex ELisa data, MTF-1 and western blot. \n\nThis dataset is associated with the following publication:\nBruno, M., J. Ross, and Y. Ge. Proteomic Responses of BEAS-2B Cells to Nontoxic and Toxic Chromium: Protein Indicators of Cytotoxicity Conversion.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 264: 59-70, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503118",
      "keyword": [
        "MAP KINASE",
        "apoptosis",
        "CELL GROWTH",
        "Inflammatory cytokines",
        "MTF-1 AKT",
        "proteomics",
        "metal mixtures",
        "chromium",
        "2D gel electrophoresis",
        "ELISA",
        "signaling proteins"
      ],
      "contactPoint": {
        "fn": "Maribel Bruno",
        "hasEmail": "mailto:bruno.maribel@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw data for sciencehub Chr paper October 24 2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503118/Raw%20data%20for%20sciencehub%20Chr%20paper%20October%2024%202018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-24",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2016.08.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Developmental Thyroid Hormone Insufficiency Induces Cortical Brain Malformation and Learning Impairments: A Cross-Fostering Study",
      "description": "thyroid hormone from serum of rats exposed to goitrogen. Morphometry in brain. Behavioral data. \n\nThis dataset is associated with the following publication:\nOShaughnessy, K., P. Kosian, J. Ford, W. Oshiro, S. Degitz, and M. Gilbert. Developmental Thyroid Hormone Insufficiency Induces Cortical Brain Malformation and Learning Impairments: A Cross-Fostering Study.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(1): 101-115, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407670",
      "keyword": [
        "thyroid homone",
        "heterotopia",
        "fear conditioning",
        "developmental hypothyroidism"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "M0914 Crossfostering Mean Summary Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407670/M0914%20Crossfostering%20Mean%20Summary%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-07",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data For Figures",
      "description": "This dataset contains data presented in the figures of the paper \"Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning\" published in Atmospheric Chemistry and Physics. It also links to the data archive of field observations. \n\nThis dataset is associated with the following publication:\nMurphy, B., M. Woody, J. Jimenez, A.M. Carlton, P. Hayes, S. Liu, N. Ng, L. Russell, A. Setyan, L. Xu, J. Young, R. Zaveri, Q. Zhang, and H. Pye. Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 11107-11133, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434890",
      "keyword": [
        "organic aerosol",
        "CMAQ",
        "particulate matter",
        "volatility",
        "Aging",
        "CalNex",
        "CARES",
        "SOAS"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_5.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_8.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_8.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_13.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_13.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_12.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_12.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_9.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_9.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_11.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_11.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_6.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_7.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/Figure_7.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-20",
      "references": [
        "https://doi.org/10.5194/acp-17-11107-2017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434890/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Derivation and Evaluation of Putative Adverse Outcome Pathways for Effects of Cycylooxygenase inhibitors on Reproductive Processes in Female Fish",
      "description": "Fathead minnows (Pimephales promelas) were exposed to 100 ug/L indomethacin, 200 ug/L ibuprofen, or 20 ug/L celecoxib for 96 h.  Effects on cycloxygenase enzyme activity in ovary, prostaglandin F2alpha concentrations in plasma, 17beta-estradiol concentrations in plasma, and vitellogenin concentrations in plasma were measured. Gene expression in ovary samples was evaluated using a 15,000 probe oligonucleotide microarray. Transcriptomics data (raw data and normalized) are available through the National Center for Biotechnology Information, Gene Expression Omnibus (GEO), accession number GSE72976. Metabolite profiles in liver tissue were measured by proton nuclear magnetic resonance. In addition to these data, the data set also contains identification of differentially expressed genes, pathway enrichment and gene set enrichment analyes, ToxCast data for indomethacin and celecoxib, chemical-gene interaction data derived from the Comparative Toxicogenomics database, and results from Level 1, Level 2, and Level 3 SeqAPASS analyses that examine conservation of target proteins across species (https://seqapass.epa.gov/seqapass/). \n\nThis dataset is associated with the following publication:\nMartinovic-Weigelt, D., A. Mehinto, G. Ankley , J. Berninger, T. Collette , J. Davis , N. Denslow, E. Durhan, E. Eid, D. Ekman , K. Jensen , M. Kahl , C. LaLone , Q. Teng , and D. Villeneuve. Derivation and evaluation of putative adverse outcome pathways for the effects of cyclooxygenase inhibitors on reproductive processes in female fish.   TOXICOLOGICAL SCIENCES. Society of Toxicology,    156(2): 344-361, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503124",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72976",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE72976",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2 ORD-013745 Pathway enrichment and GSEA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/2%20ORD-013745%20Pathway%20enrichment%20and%20GSEA.xlsx",
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        },
        {
          "title": "3 ORD-013745 Ingenuity Pathway Analyes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/3%20ORD-013745%20Ingenuity%20Pathway%20Analyes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4 ORD-013745 ToxCast data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/4%20ORD-013745%20ToxCast%20data.xlsx",
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        },
        {
          "title": "5 ORD-013745 CTD Chemical-gene interactions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/5%20ORD-013745%20CTD%20Chemical-gene%20interactions.xlsx",
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        },
        {
          "title": "6 ORD-013745 SeqAPASS level 1, cox1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/6%20ORD-013745%20SeqAPASS%20level%201%2C%20cox1.csv",
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        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/7%20ORD-013745%20SeqAPASS%20level%201%2C%20cox2.csv",
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        {
          "title": "8 ORD-013745 SeqAPASS level 2, cox1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/8%20ORD-013745%20SeqAPASS%20level%202%2C%20cox1.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "9 ORD-013745 SeqAPASS level 2, cox2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/9%20ORD-013745%20SeqAPASS%20level%202%2C%20cox2.csv",
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/10%20ORD-013745%20SeqAPASS%20level%203%2C%20cox1.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/11%20ORD-013745%20SeqAPASS%20level%203%2C%20cox2.xlsx",
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        {
          "title": "1 ORD-013745 Differentially expressed genes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/1%20ORD-013745%20Differentially%20expressed%20genes.xlsx",
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        {
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/14%20ORD-013745%20COX%20Inhib_Metabolomics_PCA.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "13 ORD-013745 COX Inhib_Metabolomics_Diff Spec.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503124/13%20ORD-013745%20COX%20Inhib_Metabolomics_Diff%20Spec.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-25",
      "references": [
        "https://doi.org/10.1093/toxsci/kfw257"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of the antimicrobial contaminant triclocarban, and co-exposure with the androgen 17beta-trenbolone, on reproductive function and ovarian transcriptome of the fathead minnow (Pimephales promelas).",
      "description": "Triclocarban (TCC) is a widely used antimicrobial agent that is routinely detected in surface waters. The present study was designed to examine TCC’s efficacy and mode of action as a reproductive toxicant in fish. Reproductively mature Pimephales promelas were continuously exposed to either 1 or 5 μg TCC/L,  0.5 μg 17β-trenbolone (TRB)/L or a mixture (MIX) of 5 μg TCC and 0.5 μg TRB/L for 22 d and a variety of reproductive and endocrine-related endpoints were examined. The data set includes:\n-Concentrations of the test chemicals detected in water and tissues of exposed fish\n-Ex vivo production of testosterone and estradiol by gonad tissue placed in culture (ex vivo).\n-Plasma concentrations of testosterone, 17beta estradiol, and vitellogenin\n-Targeted gene expression measurements examining relative abundance of messenger RNA coding for enzymes involved in steroid synthesis: cholesterol side-chain cleavage\n(cyp11a), 17-a-hydroxylase/17,20 lyase (cyp17), aromatase (cyp19a1a), 3b-hydroxysteroid dehydrogenase (3bhsd), 11bhydroxysteroid dehydrogenase (11bhsd), and 17b-hydroxysteroid dehydrogenase (17bhsd) as well as five additional transcripts\nmeasured included steroidogenic acute regulatory protein (star), Vtg receptor (vtgr), follicle-stimulating hormone receptor (fshr), luteinizing hormone receptor (lhr), and\nandrogen receptor (ar). \n-Ovarian transcriptomics data measured using a 15000 feature oligonucleotide microarray (GEO Platform Accession GPL10259).\n-Survival, reproduction, and morphological data.\n-. \n\nThis dataset is associated with the following publication:\nVilleneuve , D., K. Jensen , J. Cavallin , E. Durhan, N. Garcia-Reyero, M. Kahl , R. Leino, E. Makynen, L. Wehmas, E. Perkins, and G. Ankley. Effects of the anti-microbial contaminant triclocarban and co-exposure with the androgen 17â-trenbolone, on reproductive function and ovarian transcriptome of the fathead minnow (Pimephales promelas).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 36(1): :231-242, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503126",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64291",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64291",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ORD-011209 Triclocarban Science Hub Data File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503126/ORD-011209%20Triclocarban%20Science%20Hub%20Data%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-26",
      "references": [
        "https://doi.org/10.1002/etc.3531",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110301/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DNA metabarcoding OTU tables",
      "description": "DNA sequence data output with assigned taxonomic IDs. \n\nThis dataset is associated with the following publication:\nHatzenbuhler, C., J.R.  Kelly, J. Martinson, S. Okum, and E. Pilgrim. Sensitivity and accuracy of high-throughput metabarcoding methods for early detection of invasive fish species.   Scientific Reports. Nature Publishing Group,   UK, 7: 1-10 (46393), (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503117",
      "keyword": [
        "DNA Barcoding",
        "Aquatic invasive species",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Chelsea Hatzenbuhler",
        "hasEmail": "mailto:hatzenbuhler.chelsea@epa.gov"
      },
      "distribution": [
        {
          "title": "TrialA_DNA_SequenceData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503117/TrialA_DNA_SequenceData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TrialB_DNA_SequenceData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503117/TrialB_DNA_SequenceData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-25",
      "references": [
        "https://doi.org/10.1038/srep46393"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Asbestosis and iron",
      "description": "None provided. \n\nThis dataset is associated with the following publication:\nGhio, A., J. Soukup, L. Dailey, H. Tong, and J. Richards. The biological effect of asbestos exposure is dependent on changes in iron homeostasis.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(14): 698-705, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503116",
      "keyword": [
        "Particles and fibers"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "asbestosis and iron figure 1A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%201A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 2B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%202B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 1B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%201B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 2A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%202A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 2C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%202C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 2D.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%202D.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 4A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%204A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 5A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%205A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 6A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%206A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 4B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%204B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 5B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%205B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "asbestosis and iron figure 6B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/asbestosis%20and%20iron%20figure%206B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-30",
      "references": [
        "https://doi.org/10.1080/08958378.2016.1257665"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503116/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Cook et al 2016 data",
      "description": "The data are Excel spreadsheets with detailed physical measurements of 50 mineral fiber samples used for the modeling outlined in the publication. \n\nThis dataset is associated with the following publication:\nCook, P., J.  Swintek, T. Dawson, D. Chapman, M. Etterson , and D. Hoff. Quantitative structure - mesothelioma potency model optimization for complex mixtures of elongated particles in rat pleura: A retrospective study.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART B:  CRITICAL REVIEWS. Taylor & Francis, Inc., Philadelphia, PA, USA, 19(5): 266-288, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503127",
      "keyword": [
        "mesothelioma",
        "elongated particles",
        "rat pleura"
      ],
      "contactPoint": {
        "fn": "Dale Hoff",
        "hasEmail": "mailto:hoff.dale@epa.gov"
      },
      "distribution": [
        {
          "title": "Cook16 - Amphibole Data Set Leached Surface Area Figure  6 (FibercellAsaL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Amphibole%20Data%20Set%20Leached%20Surface%20Area%20Figure%20%206%20%28FibercellAsaL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Amphibole Data Set Unleached Fiber Number Figure 6 (FibercellAfnU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Amphibole%20Data%20Set%20Unleached%20Fiber%20Number%20Figure%206%20%28FibercellAfnU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Amphibole Data Set Leached Fiber Number Figure  6 (FibercellAfnL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Amphibole%20Data%20Set%20Leached%20Fiber%20Number%20Figure%20%206%20%28FibercellAfnL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Amphibole Data Set Unleached Surface Area  Figure 6 (FibercellAsaU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Amphibole%20Data%20Set%20Unleached%20Surface%20Area%20%20Figure%206%20%28FibercellAsaU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Combined Data Set Leached Fiber Number Figure  6 (FibercellCfnL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Combined%20Data%20Set%20Leached%20Fiber%20Number%20Figure%20%206%20%28FibercellCfnL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Combined Data Set Leached Surface Area Figure  6 (FibercellCsaL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Combined%20Data%20Set%20Leached%20Surface%20Area%20Figure%20%206%20%28FibercellCsaL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Combined Data Set Unleached Surface Area  Figure 6 (FibercellCsaU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Combined%20Data%20Set%20Unleached%20Surface%20Area%20%20Figure%206%20%28FibercellCsaU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Stanton Data Set Leached Fiber Number Figure  6 (FibercellSRfnL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Stanton%20Data%20Set%20Leached%20Fiber%20Number%20Figure%20%206%20%28FibercellSRfnL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16-Data for Figure 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16-Data%20for%20Figure%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Combined Data Set Unleached Fiber Number Figure 6 (FibercellCfnU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Combined%20Data%20Set%20Unleached%20Fiber%20Number%20Figure%206%20%28FibercellCfnU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Stanton Data Set Unleached Surface Area  Figure 6 (FibercellSRsaU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Stanton%20Data%20Set%20Unleached%20Surface%20Area%20%20Figure%206%20%28FibercellSRsaU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Stanton Data Set Unleached Fiber Number Figure 6 (FibercellSRfnU).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Stanton%20Data%20Set%20Unleached%20Fiber%20Number%20Figure%206%20%28FibercellSRfnU%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16-Data for Figure 9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16-Data%20for%20Figure%209.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cook16 - Stanton Data Set Leached Surface Area Figure  6 (FibercellSRsaL).xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503127/Cook16%20-%20Stanton%20Data%20Set%20Leached%20Surface%20Area%20Figure%20%206%20%28FibercellSRsaL%29.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-26",
      "references": [
        "https://doi.org/10.1080/10937404.2016.1195326"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fox River kindling Bandara et al Summary Data",
      "description": "This study looked at functional endpoints in adult offspring of rats exposed in utero and postnatally to an environmentally relevant mixture of PCBs, Fox River blend. A model of neural plasticity and epilepsy, electrical kindling, was examined. Animals exposed to PCBs had slower kindling rates suggesting impaired plasticity mechanisms, consistent with previous work with PCBs where deficits were seen in another plasticity model, long-term potentiation. \n\nThis dataset is associated with the following publication:\nBandara, S., R. Sadowski, S. Schantz, and M. Gilbert. Developmental Exposure to an Environmental PCB Mixture Delays the Propagation of Kindling in the Amygdala.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS,  n/a, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503125",
      "keyword": [
        "polyclorinated biphenyls",
        "children's health",
        "neruotoxicity",
        "thyroid hormone",
        "developmental hypothryoidism"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "Fox River Kindling Bandara et al Summary Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503125/Fox%20River%20Kindling%20Bandara%20et%20al%20Summary%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-25",
      "references": [
        "https://doi.org/10.1016/j.neuro.2016.10.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zhixuan Phosphate Data",
      "description": "The dataset shows two tables for linear combination fitting results of phosphorus speciation generated from two figures. \n\nThis dataset is associated with the following publication:\nZhixuan, Q., A. Shober, K. Scheckel, C. Penn, and K. Turner. Mechanisms of Phosphorus Removal by Phosphorus Sorbing Materials.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 47(5): 1232-1241, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1412837",
      "keyword": [
        "Phosphate Removal",
        "environmental transport",
        "water quality",
        "soil quality",
        "phosphate management"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "PSM Paper_Data for SciHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412837/PSM%20Paper_Data%20for%20SciHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-20",
      "references": [
        "https://doi.org/10.2134/jeq2018.02.0064"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative constraints on autoxidation and dimer formation from direct probing of monoterpene-derived peroxy radical chemistry",
      "description": "Laboratory data supporting \"Quantitative constraints on autoxidation and dimer formation from direct probing of monoterpene-derived peroxy radical chemistry\" by Zhao, Thornton, and Pye.  \n\nAbstract: Organic peroxy radicals (RO2) are key intermediates in the atmospheric degradation of organic matter and fuel combustion, but to date, few direct studies of specific RO2 in complex reaction systems exist, leading to large gaps in our understanding of their fate. We show, using direct, speciated measurements of a suite of RO2 and gas-phase dimers from O3-initiated oxidation of α-pinene that ~150 gaseous dimers (C16-20H24-34O4-13) are primarily formed through RO2 cross-reactions, with a typical rate constant of 0.75-2×10-12 cm3 molecule-1 s-1 and a lower-limit dimer formation branching ratio of 4%. These findings imply a gaseous dimer yield that varies strongly with nitric oxide (NO) concentrations, of at least 0.2-2.5% by mole (0.5-6.6% by mass) for conditions typical of forested regions with low to moderate anthropogenic influence (i.e., ≤ 50 ppt NO). Given their very low volatility, the gaseous C16-20 dimers provide a potentially important organic medium for initial particle formation, and alone can explain 5-60% of α-pinene secondary organic aerosol mass yields measured at atmospherically relevant particle mass loadings. The responses of RO2, dimers, and highly-oxygenated multifunctional compounds (HOM) to reacted α-pinene concentration and NO imply that an average ~20% of primary α-pinene RO2 from OH reaction and 10% from ozonolysis autoxidize at 3-10 s-1 and ≥ 1 s-1, respectively, confirming both oxidation pathways produce HOM efficiently, even at higher NO concentrations typical of urban areas. Thus, gas-phase dimer formation and RO2 autoxdiation are ubiquitous sources of low-volatility organic compounds capable of contributing significantly to atmospheric new particle formation and growth. \n\nThis dataset is associated with the following publication:\nZhao, Y., J. Thornton, and H. Pye. Quantitative constraints on autoxidation and dimer formation from direct probing of monoterpene-derived peroxy radical chemistry.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 115(48): 12142-12147, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502514",
      "keyword": [
        "autoxidation",
        "Monoterpene",
        "dimer",
        "HOM",
        "pinene",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "direct-probing-of-monoterpene-RO2-chemistry.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502514/direct-probing-of-monoterpene-RO2-chemistry.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-29",
      "references": [
        "https://doi.org/10.1073/pnas.1812147115"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Capillary-based immunoassay optimization of p53 and ɑ-tubulin in BEAS-2B cells ",
      "description": "These data were used to generate graphs and tables for the Journal of Visualized Experiments (JoVE) publication 'Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method. In general, the data are generated as example data for optimization of this method. \n\nThis dataset is associated with the following publications:\nNelson, G., J. Guynn, and B. Chorley. Procedure and Key Optimization Strategies for an Automated Capillary Electrophoretic-based Immunoassay Method.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 127: e55911, (2017).\nNelson, G., J. Currier, and B. Chorley. Procedure and Key Optimization Strategies for an Automated Capillary\r\nElectrophoretic-based Immunoassay Method. JoVE, Somerville, MA, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1374989",
      "keyword": [
        "capillary immunoassay",
        "method development",
        "p53",
        "BEAS-2B"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasetsubmission for A-rr5j.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374989/Datasetsubmission%20for%20A-rr5j.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-13",
      "references": [
        "https://doi.org/10.3791/55911",
        "https://www.jove.com/video/55911/procedure-key-optimization-strategies-for-an-automated-capillary"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Summary Table for The effects of continuous diazinon exposure on growth and reproduction in Japanese medaka using a modified Medaka Extended One Generation Reproduction Test",
      "description": "Summary data from a Medaka Extended One Generation Reproduction Test (MEOGRT) that assessed the effects of diazinon on growth and reproduction on Japanese medaka.  The data includes fecundity, fertility, hatch, time-to-hatch, various measurements of growth, and counts of anal fin papillae for two generations of medaka. \n\nThis dataset is associated with the following publication:\nFlynn, K., D. Lothenbach, F. Whiteman, D. Hammermeister, J. Swintek, M. Etterson, and R. Johnson. The effects of continuous diazinon exposure on growth and reproduction in Japanese medaka using a modified Medaka Extended One Generation Reproduction Test (MEOGRT).   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 162: 438-445, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1413672",
      "keyword": [
        "aquatic toxicity",
        "growth curve",
        "pesticide",
        "fish"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Summary Table 2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413672/Data%20Summary%20Table%202.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-12-31",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2018.06.088"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-induced changes in pulmonary metabolites in Humans",
      "description": "Dataset contains a list of metabolites, their fold change after ozone exposure and a p value for that change. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This dataset can be accessed by contacting Dr. Robert Devlin (devlin.rober@epa.gov). Format: The dataset was sent to us by the company (Metabolon) that did the metabolite analysis, including the statistical analysis).   It is an excel spreadsheet that contains a row for each of the metabolites that were identified, fold changes in each metabolite after air and ozone exposure (and the p value of the ozone-induced change), and the pathway and superpathway to which each metabolite belongs. \n\nThis dataset is associated with the following publication:\nCheng, W., K. Duncan, A. Ghio, C. Ward-Caviness, E. Karoly, D. Diaz-Sanchez, R. Conolly, and R. Devlin. Changes in metabolites present in lung-lining fluid following exposure to humans to ozone.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(2): 430-439, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1376675",
      "keyword": [
        "Ozone",
        "human metabolome",
        "pulmonary",
        "DNA methylation"
      ],
      "contactPoint": {
        "fn": "Robert Devlin",
        "hasEmail": "mailto:devlin.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2016-06-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zinc speciation results",
      "description": "The dataset contains two figures showing the synchrotron X-ray absorption near edge structure data (figure 4) and corresponding linear combination fitting data deciphering the distribution of zinc species (figure 5). \n\nThis dataset is associated with the following publication:\nDoolette, C., T. Lund, C. Li, K. Scheckel, E. Donner, P. Kopittke, E. Lombi, and J. Schjoerring. Foliar application of zinc sulphate and zinc EDTA to wheat leaves: differences in mobility, distribution, and speciation.   JOURNAL OF EXPERIMENTAL BOTANY. Oxford University Press, Cary, NC, USA, 69(18): 4469-4481, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435029",
      "keyword": [
        "zinc",
        "plant uptake",
        "nutrient enrichment",
        "contaminant transport",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "JXB Figures 4 and 5_final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435029/JXB%20Figures%204%20and%205_final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-25",
      "references": [
        "https://doi.org/10.1093/jxb/ery236"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-Induced Vascular Contractility and Pulmonary Injury are Differentially Impacted by Diets Enriched with Coconut Oil, Fish Oil, and Olive Oil",
      "description": "This data set is broken up into 2 Excel files.  In one file are all the data pertaining to the vascular and pulmonary effects of ozone exposure in rats fed either a normal diet or diet enriched with coconut oil, fish oil, or olive oil.  The different tabs of the spreadsheet pertain to each figure or table found in the manuscript.  This file was updated on 12/7/17 to reflect changes to Figure 3 in response to reviewers comments following submission to Toxicological Sciences.  In the second file is all the data for Figure 8 pertaining to the global microRNA assessment. \n\nThis dataset is associated with the following publication:\nSnow, S., W. Cheng, A. Henriquez, M. Hodge, V. Bass, G. Nelson, G. Carswell, J. Richards, M. Schladweiler, A. Ledbetter, B. Chorley, K. Gowdy, H. Tong, and U. Kodavanti. Ozone-Induced Vascular Contractility and Pulmonary Injury are Differentially Impacted by Diets Enriched with Coconut Oil, Fish Oil, and Olive Oil.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(1): 57-69, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1375318",
      "keyword": [
        "Ozone",
        "pulmonary injury",
        "vascular contractility",
        "fish oil",
        "dietary supplements"
      ],
      "contactPoint": {
        "fn": "Samantha Snow",
        "hasEmail": "mailto:snow.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "miRNA Analysis for OzoneDiets Vascular Pulmonary Manuscript.XLSX",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375318/miRNA%20Analysis%20for%20OzoneDiets%20Vascular%20Pulmonary%20Manuscript.XLSX",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OzoneDiets Vascular and Pulmonary Manuscript - Data for ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375318/OzoneDiets%20Vascular%20and%20Pulmonary%20Manuscript%20-%20Data%20for%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-31",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Table formatted data for Figures 1, 2, 3, 4, 5, and 6 regarding point of zero charge",
      "description": "This study utilized the Pb- and As-contaminated soils to determine the combined effect of pH with respect to PZC and different rates of P-application on pyromorphite formation, and Pb and arsenic (As) bioaccessibility as impacted by speciation changes. Solution chemistry analysis along with synchrotron-based Pb- and As-speciation, and bioaccessibility treatment effect ratios (TERs) were conducted. \n\nThis dataset is associated with the following publication:\nKarna, R., M. Noerpel, T. Luxton, and K. Scheckel. Point of Zero Charge: Role in Pyromorphite Formation and Bioaccessibility of Lead and Arsenic in Phosphate-Amended Soils.   Soil Systems. MDPI AG, Basel,  SWITZERLAND, 2(2): 22, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435031",
      "keyword": [
        "lead",
        "arsenic",
        "in-situ amendments",
        "metal bioavailability",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table for Fig. 1a,1b,1c,1d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.%201a%2C1b%2C1c%2C1d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table for Fig. 5a,5b,5c,5d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.%205a%2C5b%2C5c%2C5d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table for Fig.3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table for Fig. 2a,2b,2c,2d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.%202a%2C2b%2C2c%2C2d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table for Fig. 6a,6b,6c,6d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.%206a%2C6b%2C6c%2C6d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table for Fig.4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435031/Table%20for%20Fig.4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-28",
      "references": [
        "https://doi.org/10.3390/soilsystems2020022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "June 2018 version of dataset",
      "description": "These are the data associated with each of the figures in the publication. \n\nThis dataset is associated with the following publication:\nThursby, G., K. Sappington, and M. Etterson. Coupling Toxicokinetic-Toxicodynamic and Population Models for Assessing Aquatic Ecological Risks to Time-Varying Pesticide Exposures.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(10): 2633-2644, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502454",
      "keyword": [
        "Americamysis bahia",
        "matrix modeling",
        "population level risk assessment",
        "time-varying exposures"
      ],
      "contactPoint": {
        "fn": "Glen Thursby",
        "hasEmail": "mailto:thursby.glen@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub for ORD-023077 June 2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502454/ScienceHub%20for%20ORD-023077%20June%202018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-26",
      "references": [
        "https://doi.org/10.1002/etc.4224"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RNA-sequencing analysis of Douglas-fir transcriptome responses to diesel emissions generated with CeO2 nanoparticle additive",
      "description": "Transcriptome changes of Douglas-fir seedlings were analyzed to investigate molecular impacts of exposure to airborne emissions released from combustion of diesel fuel containing engineered cerium dioxide (CeO2) nanoparticle catalysts (DECe). We analyzed mRNA-sequencing data from exposed one-year-old needles. Our hypothesis is that 2-week chamber exposure to DECe would induce certain distinct transcriptome changes in the needles compared with responses to conventional diesel exhaust (DE) or filtered DECe Gas Phase. Blast2GO gene ontologies (GOs) enriched by significantly up-regulated DECe transcripts were nested within the GOs for DE, however, 93.5% of enriched GOs for significantly down-regulated DECe transcripts were unique. DECe attenuated expression of genes that affect functions of transferases, kinases, transmembrane transporters, transcription factors, diester hydrolases and RNA polymerase III; processes of protein phosphorylation, responses to stimuli, hormones and chemicals, carbohydrate transport, RNA polymerase III transcription, and cellular anion homeostasis; plus, components of the plasma membrane. MapMan analysis also identified RNA regulation of transcription, protein degradation, and lipid metabolism pathways that were enriched with DECe down-regulated transcripts. Divergent DECe treatment effects were associated with significantly elevated needle uptake of cerium. DE affected expression of more genes than DECe. Nevertheless, unique transcriptome profile changes suggest that chronic DECe exposure may adversely affect plant growth and development. \n\nThis dataset is associated with the following publication:\nReichman, J.R., P.T. Rygiewicz, M.G. Johnson, M.A. Bollman, B.M. Smith, Q.T. Krantz, C.J. King, K. Kovalcik, and C.P. Andersen. Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) Transcriptome Profile Changes Induced by Diesel Emissions Generated with CeO2 Nanoparticle Fuel Borne Catalyst.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(17): 10067-10077, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1422729",
      "keyword": [
        "RNA-sequencing",
        "transcriptome",
        "cerium dioxide",
        "fuel borne catalyst",
        "Douglas-fir",
        "Pseudotsuga menziesii",
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE107902",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE107902",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Reichman et al 2018 metadata 022718.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422729/Reichman%20et%20al%202018%20metadata%20022718.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-12",
      "references": [
        "https://doi.org/10.1021/acs.est.8b02169"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sequencing Data for Hospital Metagenomes",
      "description": "FASTA files containing the sequence data and for Assembled contigs (FastA), Predicted genes (FastA), Predicted proteins (FastA), Gene prediction (GFF v2). This dataset is not publicly accessible because: These are sequences that have already been deposited in publicly available databases and therefore we can avoid replication. Also the data is quite large and there are numerous files associated with these entries, which are included in the links below. It can be accessed through the following means: Using the following web links\n\nhttps://www.ncbi.nlm.nih.gov/bioproject/PRJNA299404\t\nhttps://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP065069\nhttp://enve-omics.ce.gatech.edu/data/showerheads. Format: The data represent genome sequencing and assembly of 180 different contigs. \n\nThis dataset is associated with the following publication:\nSoto-Giron, M.J., L. Rodriguez, C. Luo , M. Elk, H. Ryu, J. Santodomingo , and K. Konstantinidis. Biofilms on Hospital Shower Hoses: Characterization and Implications for Nosocomial Infections.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 82(9): 2872-2883, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503087",
      "keyword": [
        "drinking water",
        "metagenomes",
        "hosppital",
        "shower hoses"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-05",
      "references": [
        "https://doi.org/10.1128/aem.03529-15"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "XRD Raw data",
      "description": "XRD Raw data collected. \n\nThis dataset is associated with the following publication:\nNadagouda , M., C. Han , D. Dionysiou, and L. Wang. An innovative zinc oxide-coated zeolite adsorbent for removal of humic acid.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 313: 283-290, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503092",
      "keyword": [
        "Electrostatic interaction; Humic acid; Water treatment; Zeolite; Zinc oxide; Natural organic matter"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "XRD.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503092/XRD.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-17",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0304389416302928"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zipped NetCDF data for Precipitation partitioning in Multi-Scale Atmospheric Simulations: Impacts of Stability Restoration Methods  ",
      "description": "Data for all figures in NetCDF format zipped files. \n\nThis dataset is associated with the following publication:\nHe, J., and K. Alapaty. Precipitation Partitioning in Multiscale Atmospheric Simulations: Impacts of Stability Restoration Methods.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(18): 10,185-10,201, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407606",
      "keyword": [
        "precipitation",
        "convective timescale",
        "measurements",
        "deep convection",
        "convective parameterization"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/dynTauData/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/dynTauData/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-17",
      "references": [
        "https://doi.org/10.1029/2018jd028710"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure. 2 Data . CUOG wastewater dilution as a function of specific conductivity.",
      "description": "Application of ICP-OES for evaluating energy extraction and production wastewater discharge impacts on surface waters in\r\nWestern Pennsylvania Figure 2 data (Pancras et al., Science of the Total Environment 529 (2015) 21–29). \n\nThis dataset is associated with the following publication:\nPancras, J.P., G. Norris , M. Landis , K. Kovalcik , J.K. McGee , and A. Kamal. Application of ICP-OES for Evaluating Energy Extraction and Production Wastewater Discharge Impacts on Surface Waters in Western Pennsylvania.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 529: 21-29, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407512",
      "keyword": [
        "ICP-OES",
        "Oil and Gas Wastewater",
        "Elemental composition",
        "Flue Gas Desulfurization",
        "hydraulic fracturing"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2 Data_HF paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407512/Figure%202%20Data_HF%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-12-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "weights of metal coupons before and after fumigation with methyl bromide or methyl iodide",
      "description": "This file contains the masses of metal coupons before and after fumigation with methyl bromide or methyl iodide. \n\nThis dataset is associated with the following publication:\nLee, S., S. Serre, A. Adrion, and R. Scheffrahn. Impact of Sporicidal Fumigation with Methyl Bromide or Methyl Iodide on Electronic Equipment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 231: 1021-1027, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1413129",
      "keyword": [
        "Sporicidal Fumigation",
        "methyl bromide",
        "Methyl Iodide",
        "Material Compatibility"
      ],
      "contactPoint": {
        "fn": "Sangdon Lee",
        "hasEmail": "mailto:lee.sangdon@epa.gov"
      },
      "distribution": [
        {
          "title": "2017_03_28_coupon_weights.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413129/2017_03_28_coupon_weights.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-13",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.10.118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "diagnostic test results of computers after fumigation with methyl bromide or methyl iodide",
      "description": "These files contain the results of diagnostic testing (BurnIn Test and PC-Dr) of computers after fumigation with methyl bromide or methyl iodide. \n\nThis dataset is associated with the following publication:\nLee, S., S. Serre, A. Adrion, and R. Scheffrahn. Impact of Sporicidal Fumigation with Methyl Bromide or Methyl Iodide on Electronic Equipment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 231: 1021-1027, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1413130",
      "keyword": [
        "Sporicidal Fumigation",
        "methyl bromide",
        "Methyl Iodide",
        "Material Compatibility"
      ],
      "contactPoint": {
        "fn": "Sangdon Lee",
        "hasEmail": "mailto:lee.sangdon@epa.gov"
      },
      "distribution": [
        {
          "title": "combined_monthly_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413130/combined_monthly_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "first_6_weeks_post_fumigation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413130/first_6_weeks_post_fumigation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "combined_monthly.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413130/combined_monthly.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BIT_data_processed.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413130/BIT_data_processed.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-14",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.10.118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "temperature, relative humidity, and fumigant concentration during fumigation of computers with methyl bromide or methyl iodide and the effect of fumigant on humidity sensors",
      "description": "These files contain time-course data for temperature, relative humidity, and fumigant concentration during the fumigation of computers with methyl bromide or methyl iodide. There is a also a file that shows the effect of fumigation on the sensitivity of the HOBO-U10 RH sensor. \n\nThis dataset is associated with the following publication:\nLee, S., S. Serre, A. Adrion, and R. Scheffrahn. Impact of Sporicidal Fumigation with Methyl Bromide or Methyl Iodide on Electronic Equipment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 231: 1021-1027, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1413137",
      "keyword": [
        "Sporicidal Fumigation",
        "methyl bromide",
        "Methyl Iodide",
        "Material Compatibility"
      ],
      "contactPoint": {
        "fn": "Sangdon Lee",
        "hasEmail": "mailto:lee.sangdon@epa.gov"
      },
      "distribution": [
        {
          "title": "bulk_chamber_T_RH_during_fumigation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413137/bulk_chamber_T_RH_during_fumigation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "inside_computers_T_RH_during_fumigation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413137/inside_computers_T_RH_during_fumigation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "effect_on_HOBO_loggers.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413137/effect_on_HOBO_loggers.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017_MB_MI_comp_spectros_readings.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413137/2017_MB_MI_comp_spectros_readings.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-14",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.10.118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Impacts of Potassium Permanganate and Powdered Activated Carbon on Cyanobacterial Toxin Release and Degradation",
      "description": "Underlying data for figures in the published manuscript. \n\nThis dataset is associated with the following publication:\nDugan, N., S. Smith, and T. Sanan. The Impacts of Potassium Permanganate and Powdered Activated Carbon on Cyanotoxin Release.   Journal AWWA. American Water Works Association, Denver, CO, USA, 110(11): E31-E42, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1394644",
      "keyword": [
        "cyanobacteria",
        "toxin",
        "microcystin",
        "microcystis aeruginosa",
        "drinking water treatment",
        "oxidation",
        "potassium permanganate",
        "activated carbon"
      ],
      "contactPoint": {
        "fn": "Nicholas Dugan",
        "hasEmail": "mailto:dugan.nicholas@epa.gov"
      },
      "distribution": [
        {
          "title": "DuganNicholas_A-vq8v_Dataset_Combined.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394644/DuganNicholas_A-vq8v_Dataset_Combined.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-08",
      "references": [
        "https://doi.org/10.1002/awwa.1125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1394644/documents/DuganNicholas_A-vq8v_Dataset_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Plume encounters that exhibited elevated levels of at least one of the three reactive bromine compounds (Br2, BrNO2, and BrCl). ",
      "description": "Plume encounters that exhibited elevated levels of at least one of the three reactive bromine compounds (Br2, BrNO2, and BrCl). \n\nThis dataset is associated with the following publication:\nLee, B., F. Lopez-Hilfiker, J. Schroder, P. Campuzano-Jost, J. Jimenez, E. McDuffie, D. Fibiger, P. Veres, S. Brown, T. Campos, A. Weinheimer, F. Flocke, G. Norris, K. O'Mara, J. Green, M. Fiddler, S. Bililign, V. Shah, L. Jaeglé, and J. Thornton. Airborne Observations of Reactive Inorganic Chlorine and Bromine Species in the Exhaust of Coal‐Fired Power Plants.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(19): 11,225-11,237, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500925",
      "keyword": [
        "bromine",
        "plume",
        "aircraft",
        "coal"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "Plume encounters with bromine.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500925/Plume%20encounters%20with%20bromine.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-05",
      "references": [
        "https://doi.org/10.1029/2018jd029284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: An Integrated Multidisciplinary Research Project Researching Questions of Ecosystem Services and Ecological Receptor Characterization in the Kanawha",
      "description": "GIS data associated with hydrogeomorphic variables measured from remotely sensed coverages of the Little Miami River, Ohio. \n\nThis dataset is associated with the following publication:\nThoms, M., M. Scown, and J. Flotemersch. Characterization of River Networks: A GIS Approach and Its Applications.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 54(4): 899-913, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1424213",
      "keyword": [
        "functional process zones",
        "RESonate",
        "hydrogeomorphic measures",
        "Hydro-geomorphic diversity",
        "Hierarchy",
        "Multivariate analyses"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "Thoms et al. _A-x3g7_Data_20180320.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424213/Thoms%20et%20al.%20_A-x3g7_Data_20180320.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-10-01",
      "references": [
        "https://doi.org/10.1111/1752-1688.12649"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "QCL data turf microcosms 09Aug2017",
      "description": "Four turfgrass systems in or near the Pinehurst Resort and Country Club, Sandhills region, North Carolina, USA was sampled. Twenty intact soil cores (5 cm diameter x 10 cm length) were collected from each turfgrass system in January and August 2016, respectively. For each turfgrass system, a total of 12 intact soil cores were used to measure N effluxes during three-week incubation, representing three replicates and four treatments: (1) no N input and 23 °C, (2) low N input (i.e., addition of 5.9 mg N as NH4NO3, equivalent to 30 kg N ha-1) and 23 °C, (3) high N input (i.e., addition of 11.8 mg N as NH4NO3, equivalent to 60 kg N ha-1) and 23 °C, and (4) high N input and 13 °C for winter samples (or 33 °C for summer samples). On day 0, water and NH4NO3 solution were added to the respective soil cores to bring soil moisture to 60% water filled pore space (WFPS). Here, we estimated soil bulk density and moisture content from the other eight intact soil cores and then calculated soil porosity assuming that soil particle density was 2.65 g cm-3. These soil cores were also used for soil pH measurement. \nSoil N2O and CO2 effluxes were measured almost daily via soil cores closed for 2 h and then 30-ml gas samples withdrawn from headspaces using gas-tight push button syringes with one-way luer stopcocks. On day 4, 11, and 18, roughly 80 ml leachate was collected from each soil core after 80 ml distilled water poured slowly to soil surface, drained up to 2 h, and then vacuum pumped out. Nitrous oxide was measured using a dual quantum cascade laser (QCL) N2O measurement system (Model CWQCL-200-D, Aerodyne, Billerica, MA, USA) (Chen et al., 2016). The efflux rate of N2O (µg m-2 h-1) was calculated as: ((Csample-Cair) × M × V) / (r × m × t), where Csample and Cair are the N2O concentrations in the headspace of intact soil core and ambient air (ppbv), respectively; V is the volume of intact soil core headspace (L); M is the molar mass of N2O (g mol-1); r is the molar volume at 1 atm (23.47 L mol-1 at 13 oC, 24.29 L mol-1 at 23 oC, and 25.11 L mol-1 at 33 oC), m is soil core surface area (m2), and t is the incubation time (h). \nThe QCL system also provided the mixing ratio of natural abundance of 15N in the center and edge position of N2O, i.e., 15Nα and 15Nβ, respectively. After normalized to total N2O-N concentration, these ratios were used to calculate the natural abundance of 15Nα and 15Nβ of N2O. Then, 15N site preference was estimated by δ15Nα - δ15Nβ and used to help probe the biological source of N2O efflux. \n\nThis dataset is associated with the following publication:\nChen, H., T. Yang, Q. Xia, D. Bowman, D. Williams, J. Walker, and W. Shi. The extent and pathways of nitrogen loss in turfgrass systems: Age impacts.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 637638: 746-757, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1425459",
      "keyword": [
        "Reactive N",
        "Soluble organic N",
        "temperature",
        "Turfgrass",
        "Chronosequence"
      ],
      "contactPoint": {
        "fn": "David Williams",
        "hasEmail": "mailto:williams.davidj@epa.gov"
      },
      "distribution": [
        {
          "title": "QCl turk data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425459/QCl%20turk%20data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.05.053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1425459/documents/data%20dictionary%20N2O%20chamber%20data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of uncertainties in burned area estimates on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.",
      "description": "Data files used in manuscript - \"Influence of burned area uncertainties on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S.\". \n\nThis dataset is associated with the following publication:\nKoplitz, S., C. Nolte, G. Pouliot, J. Vukovich, and J. Beidler. Influence of uncertainties in burned area estimates on modeled wildland fire PM2.5 and ozone pollution in the contiguous U.S..   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 191: 328-339, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1430830",
      "keyword": [
        "wildland fires",
        "burned area",
        "pm2.5",
        "Ozone",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Shannon Koplitz",
        "hasEmail": "mailto:koplitz.shannon@epa.gov"
      },
      "distribution": [
        {
          "title": "cmaq_for_BA_cmpr_20180814.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430830/cmaq_for_BA_cmpr_20180814.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.08.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing threats of non-native species to native freshwater biodiversity: Conservation priorities for the United States",
      "description": "Non-native species pose one of the greatest threats to native biodiversity, and may have particularly severe negative impacts in freshwater ecosystems. Identifying regions of spatial overlap between high freshwater biodiversity value and elevated stress associated with non-native species can thus inform the determination of conservation priorities. Here we employ geospatial analysis of species distribution data at the watershed scale, extracted from publicly available databases, to investigate the potential threat of non-native species to vulnerable aquatic animal taxa across the continental United States. We mapped non-native aquatic plant and animal species richness and an index of cumulative invasion pressure, which weights non-native richness by time since introduction in order to estimate overall negative impact associated with species introductions. These distributions were compared to distributions of native aquatic animal taxa (fish, amphibians, mollusks, and decapods) derived from the International Union for the Conservation of Nature (IUCN) database. To identify hotspots of native biodiversity value we mapped overall species richness, proportion of species listed by IUCN as threatened and endangered, and a community index of species rarity calculated at the watershed scale. An overall priority index allowed identification of watersheds experiencing high pressure from non-native species and also exhibiting high native biodiversity conservation value. While these priority regions are roughly consistent with previously reported attempts to map biodiversity conservation needs across the US, we also recognize novel priority areas characterized by moderate-to-high native diversity but extremely high invasion pressure. We further explore the utility of this approach by comparing priority areas with existing conservation protections as well as projected future threats associated with land use change. Our findings suggest that many regions of elevated freshwater biodiversity value are compromised by high invasion pressure, and also may be poorly safeguarded by existing conservation mechanisms and likely to experience significant additional stresses in the future. \n\nThis dataset is associated with the following publication:\nPanlasigui, S., A. Davis, M. Mangiante, and J. Darling. Assessing threats of non-native species to native freshwater biodiversity: Conservation priorities for the United States.   BIOLOGICAL CONSERVATION. Elsevier Science Ltd, New York, NY, USA, 224: 199-208, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407599",
      "keyword": [
        "freshwater biodiversity",
        "priority mapping",
        "invasive species",
        "non-indigenous aquatic species",
        "biodiversity",
        "threatened and endangered species",
        "geospatial analysis",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "MASTER_wPriorityIndex_HUC8_v3_variabledictionary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/MASTER_wPriorityIndex_HUC8_v3_variabledictionary.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MASTER_wPriorityIndex_HUC8_v3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/MASTER_wPriorityIndex_HUC8_v3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NativeExtantRichnessAndRarity_HUC8.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/NativeExtantRichnessAndRarity_HUC8.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NativeExtantRichnessAndRarity_HUC8_variabledictionary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/NativeExtantRichnessAndRarity_HUC8_variabledictionary.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "nonNativeRich_HUC12.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/nonNativeRich_HUC12.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "nonNativeRich_HUC12_variabledictionary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407599/nonNativeRich_HUC12_variabledictionary.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.biocon.2018.05.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CPDat 2017",
      "description": "This dataset represents quantitative data on product chemical composition for >75,000 chemicals contained in >15,000 consumer products. The dataset provided at the FigShare link is fully described in the associated Scientific Data publication (Dionisio et al.). The dataset is presented in the form of a MySQL relational database, which mimics CPDat data available under the 'Exposure' tab of the CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard). \n\nThis dataset is associated with the following publication:\nDionisio, K., K. Phillips, P. Price, C. Grulke, A. Williams, D. Biryol, T. Hong, and K. Isaacs. The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products.   Scientific Data. Springer Nature Group, New York, NY,  5: 180125, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1434276",
      "keyword": [
        "consumer products",
        "Exposure modeling",
        "chemical exposure",
        "high-throughput",
        "product composition"
      ],
      "contactPoint": {
        "fn": "Kathie Dionisio",
        "hasEmail": "mailto:dionisio.kathie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/articles/The_Chemical_and_Products_Database_CPDat_MySQL_Data_File/5352997",
          "accessURL": "https://figshare.com/articles/The_Chemical_and_Products_Database_CPDat_MySQL_Data_File/5352997",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-13",
      "references": [
        "https://doi.org/10.1038/sdata.2018.125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Health Impact of Cross-Connections in Non-potable Reuse Systems",
      "description": "Provides estimated event risks and target dilution fractions for cross-connections in non-potable reuse systems. \n\nThis dataset is associated with the following publication:\nSchoen, M., M. Jahne, and J. Garland. Human Health Impact of Cross-Connections in Non-Potable Reuse Systems.   WATER. MDPI AG, Basel,  SWITZERLAND, 10(10): 1352, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503067",
      "keyword": [
        "QMRA",
        "cross-connection",
        "onsite",
        "non-potable",
        "reclaimed",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503067/Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-16",
      "references": [
        "https://doi.org/10.3390/w10101352"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regional Similarities and NOx-related Increases in Biogenic Secondary Organic Aerosol in Summertime Southeastern U.S.",
      "description": "Data set contains CMAQ model output for Look Rock, Tennessee and Centreville, Alabama during summer 2013. \n\nThis dataset is associated with the following publication:\nLiu, J., L. Russell, G. Ruggeri, S. Takahama, M. Claflin, P. Ziemann, H. Pye, B. Murphy, L. Xu, N. Ng, K. McKinney, S. Hapsari Budisulistiorini, T. Bertram, A. Nenes, and J. Surratt. Regional Similarities and NOx‐Related Increases in Biogenic Secondary Organic Aerosol in Summertime Southeastern United States.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(18): 10,620-10,636, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434258",
      "keyword": [
        "SOAS",
        "CMAQ",
        "SOA",
        "Aerosol",
        "PM2.5 air quality modeling",
        "NOx",
        "FTIR"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "20170406.11Aug2016svpoaisop.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434258/20170406.11Aug2016svpoaisop.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-06",
      "references": [
        "https://doi.org/10.1029/2018jd028491"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trends in non-native aquatic species richness in the United States reveal shifting patterns of both species introductions and sampling effort",
      "description": "Analysis of spatio-temporal trends in non-native species distributions across the continental United States, based on publicly available distribution data. \n\nThis dataset is associated with the following publication:\nMangiante, M., A. Davis, S. Panlasigui, M. Neilson, I. Pfingsten, P. Fuller, and J. Darling. Trends in nonindigenous aquatic species richness in the United States reveal shifting spatial and temporal patterns of species introductions.   Aquatic Invasions. Regional Euro-Asian Biological Invasions Centre, Helsinki,  FINLAND, 13(3): 323-338, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407566",
      "keyword": [
        "Aquatic invasive species",
        "non-native species richness",
        "sampling effort",
        "temporal trends",
        "non-indigenous aquatic species",
        "biodiversity",
        "threatened and endangered species",
        "geospatial analysis",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Animals_DB_conus.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407566/Animals_DB_conus.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AIS_native_ranges.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407566/AIS_native_ranges.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plants_DB_conus.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407566/Plants_DB_conus.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "variable_dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407566/variable_dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-14",
      "references": [
        "https://doi.org/10.3391/ai.2018.13.3.02"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Construction and Demolition Debris 2014 Final Disposition Estimates Using the CDDPath Method v2",
      "description": "Estimates of the final amount and final disposition of materials generated in the Construction and Demolition waste stream measured in total mass of each material. Traditional C&D materials included are concrete, asphalt pavement, asphalt shingles, bricks and clay, metal, wood, and gypsum drywall. Non-traditional materials in this stream include cardboard, organics, carpet, glass, plastic, and fines. The estimates are based on generation amounts described in the EPA SMM Facts and Figures reports. The method used to estimate final disposition is called CDDpath. \n\nThis dataset is associated with the following publication:\nTownsend, T., W. Ingwersen, B. Niblick, P. Jain, and J. Wally. CDDPath: A method for quantifying the loss and recovery of construction and demolition debris in the United States.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 84: 302-309, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503167",
      "keyword": [
        "Concrete",
        "asphalt pavement",
        "Wood",
        "bricks",
        "carpet",
        "plastic",
        "asphalt shingles",
        "mixed CDD MRF",
        "recycling estimates",
        "metal",
        "drywall",
        "Sustainable materials management",
        "construction and demolition debris",
        "life cycle assessment",
        "end-of-life management"
      ],
      "contactPoint": {
        "fn": "Briana Niblick",
        "hasEmail": "mailto:niblick.briana@epa.gov"
      },
      "distribution": [
        {
          "title": "CDD_2014_US_Disposition_Estimates_Using_CDDPath_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503167/CDD_2014_US_Disposition_Estimates_Using_CDDPath_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-07",
      "references": [
        "https://doi.org/10.1016/j.wasman.2018.11.048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for the journal article \"Preparation of water-selective polybutadiene membranes and their use in drying\" ACS Sustainable Chemistry & Engineering, 4, 4442-4450 (2016)",
      "description": "The dataset is supporting information containing experimental details, data, and reduced data for figures and tables presented in the journal article \"Preparation of water-selective polybutadiene membranes and their use in drying alcohols by pervaporation and vapor permeation technologies\" ACS Sustainable Chemistry & Engineering, 4, 4442-4450 (2016). \n\nThis dataset is associated with the following publication:\nVane, L., V. Namboodiri, G. Lin, M. Abar, and F. Alvarez. Preparation of Water-Selective Polybutadiene Membranes and Their Use in Drying Alcohols by Pervaporation and Vapor Permeation Technologies.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 4(8): 4442-4450, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503078",
      "keyword": [
        "organic solvents",
        "solvents",
        "membranes",
        "recovery",
        "pervaporation",
        "vapor permeation",
        "reclamation"
      ],
      "contactPoint": {
        "fn": "Leland Vane",
        "hasEmail": "mailto:vane.leland@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Info sc6b01072_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503078/Supporting%20Info%20sc6b01072_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-20",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.6b01072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Chemosphere Publication in 2015, Chamber study of PCB emissions from caulking materials and light ballasts ",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains PCB chamber air concentrations emitted from caulk and model simulation of PCB air concentrations in a room with a PCB caulk. \n\nThis dataset is associated with the following publication:\nLiu , X., Z. Guo, K. Krebs , R. Stinson, J. Nardin, R. Pope, and N. Roache. Chamber study of polychlorinated biphenyl (PCB)emissions from caulking materials and light ballasts.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 137: 115-121, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390116",
      "keyword": [
        "PCBs",
        "air concentration",
        "Polychlorinated biphenyls (PCBs)",
        "Aroclor",
        "Chamber testing",
        "Source emissions",
        "Caulking materials"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-9cnx_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390116/XiaoyuLiu_A-9cnx_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-12",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2015.05.102"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Chemosphere Publication in 2016, Laboratory study of PCB transport from primary sources to settled dust",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains PCB sorption concentrations to settled dust due to dust/air partition and PCB migration concentration due to dust/source partitioning. \n\nThis dataset is associated with the following publication:\nLiu , X., Z. Guo, K. Krebs , D. Greenwell , N. Roache, A. Stinson, J. Nardin, and R. Pope. Laboratory study of PCB transport from primary sources to settled dust.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 169: 62-69, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390117",
      "keyword": [
        "migration",
        "PCBs",
        "Settled dust",
        "Sorption concentration",
        "Polychlorinated biphenyls (PCBs)",
        "Chamber testing",
        "Dust/source partition",
        "Dust/air partition"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-w3rq_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390117/XiaoyuLiu_A-w3rq_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-10",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.01.075"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Social media data with CUI redacted 11192018",
      "description": "Data includes the metadata and links for images posted to social media with CUI redacted. \n\nThis dataset is associated with the following publication:\nAngradi, T., J. Launspach, and R. Debbout. Determining preferences for ecosystem benefits in Great Lakes Areas of Concern from photographs posted to social media.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 44(2): 340-351, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503176",
      "keyword": [
        "social media",
        "Ecosystems services",
        "Great Lakes Areas of Concern",
        "Ecosystem services and benefits",
        "Decision making",
        "restoration"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "Angradi_social_media_online_sciencehub_11172018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503176/Angradi_social_media_online_sciencehub_11172018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2017.12.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Complete Validation Data for_Direct aqueous injection of the fluoroacetate anion in potable water for analysis by liquid chromatography tandem mass-spectrometry_180226 ",
      "description": "This file presents data generated for the analysis of the fluoroacetate anion in drinking water. Data is divided onto separate excel sheet tabs and labeled with the corresponding figure or table in the manuscript. The first tab is labeled as a data dictionary and contains the meta data (column headings and fields).  Much of the data for the publication will also be placed in the online supplementary material which will be available online through the journal. \n\nThis dataset is associated with the following publication:\nParry, E., and S. Willison. Direct aqueous injection of the fluoroacetate anion in potable water for analysis by liquid chromatography tandem mass-spectrometry.   Analytical Methods. RSC Publishing, Cambridge,  UK,  8 pages, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1422470",
      "keyword": [
        "compound 1080",
        "sodium fluoroacetate",
        "fluoroacetate",
        "drinking water",
        "analytical method",
        "LC-MS/MS"
      ],
      "contactPoint": {
        "fn": "Emily Parry",
        "hasEmail": "mailto:parry.emily@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of FAA_manuscript_sciencehub_180111.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422470/Copy%20of%20FAA_manuscript_sciencehub_180111.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": [
        "https://doi.org/10.1039/c8ay02046a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Novel Fast Analysis Method Dataset 09-2018",
      "description": "Recovery data from microbiological analysis procedures developed to speed Bacillus anthracis environmental sample analysis following a biological incident. \n\nThis dataset is associated with the following publication:\nAbdel-Hady, A., W. Calfee, D. Aslett, S. Lee, B. Wyrzykowska-Ceradini, R. Delafield, K. May, and A. Touati. Alternative Fast Analysis Method for Cellulose Sponge Surface Sampling Wipes with Low Concentrations of Bacillus Spores.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA,  ., (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502637",
      "keyword": [
        "Bacillus anthracis",
        "sponge wipe",
        "surface sampling",
        "Laboratory Response Network",
        "CDC",
        "anthrax"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Novel Fast Analysis Dataset_20180911.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502637/Novel%20Fast%20Analysis%20Dataset_20180911.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CalfeeMichael_A-sxmj_QASum-20180911.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502637/CalfeeMichael_A-sxmj_QASum-20180911.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-25",
      "references": [
        "https://doi.org/10.1016/j.mimet.2018.11.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The potential effects of climate change on air quality across the conterminous U.S. at 2030 under three Representative Concentration Pathways",
      "description": "This dataset is the underlying data described in Nolte et al., \"The potential effects of climate change on air quality across the conterminous U.S. at 2030 under three Representative Concentration Pathways\", Atmos. Chem. Phys., in press, 2018.\nThe paper describes simulated changes in U.S. air quality (ozone and particulate matter) between 2000 and 2030 under three scenarios of climate change. \nOzone data are in parts per billion by volume, particulate matter are in micrograms per cubic meter, temperature changes are in degrees Celsius, and precipitation has units of millimeters of accumulated precipitation per month. \n\nThis dataset is associated with the following publication:\nNolte, C., T. Spero, J. Bowden, M. Mallard, and P. Dolwick. The potential effects of climate change on air quality across the conterminous US at 2030 under three Representative Concentration Pathways.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(20): 15471-15489, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502507",
      "keyword": [
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Nolte_ACP2018.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502507/Nolte_ACP2018.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-23",
      "references": [
        "https://doi.org/10.5194/acp-18-15471-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-txb0_dataset_20181022.xlsx",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nScott, R., P. Mudimbi, M. Miller, M. Magnuson , S. Willison , R. Phillips, and W. Harper. Advanced Oxidation of Tartrazine and Brilliant Blue with Pulsed Ultraviolet Light Emitting Diodes.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 89(1): 24-31, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503109",
      "keyword": [
        "advanced oxidation",
        "treatment",
        "dyes",
        "tartrazine",
        "wastewater",
        "LED",
        "light emitting diode"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-txb0_dataset_20181022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503109/MagnusonMatthew_A-txb0_dataset_20181022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-22",
      "references": [
        "https://doi.org/10.2175/106143016x14733681696167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-7h4g_dataset_20181031",
      "description": "Data corresponding to the figures in the paper. \n\nThis dataset is associated with the following publication:\nJolin, W., and M. Kaminski. Sorbent Materials for Rapid Remediation of Washwater during Radiological Event Relief.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  165-171, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503135",
      "keyword": [
        "radionuclides",
        "Retention",
        "breakthrough",
        "vermiculite",
        "cesium",
        "Montmorillonite",
        "dirty bomb",
        "RDD",
        "radiological dispersal device",
        "nuclear power plant accident"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-7h4g_dataset_20181031.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503135/MagnusonMatthew_A-7h4g_dataset_20181031.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-31",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2016.07.077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-ht7r_dataset_20181023.xlsx",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nRauglas, E., S. Martin, K. Bailey, C. Starr, M. Magnuson, R. Phillips, and W. Harper. The Effect of Malathion on the Activity, Performance, and Microbial Ecology of Activated Sludge- journal.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  220-228, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503111",
      "keyword": [
        "wastewater",
        "malathion",
        "biosolid",
        "activated sludge",
        "EMPA"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-ht7r_dataset_20181023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503111/MagnusonMatthew_A-ht7r_dataset_20181023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-23",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2016.08.076"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Watt_HTS_Uncertainty_Quantification_2017_data",
      "description": "In this work, we introduce a new method for uncertainty quantification in ToxCast data. We explore how unavoidable uncertainties in the data result in uncertainties in concentration-response parameters such as potency and efficacy. These uncertainties are then extended throughout to the analysis and interpretation of results for risk assessment. By quantifying these uncertainties through the analysis stages we increase the confidence in the data interpretation and allow for a more robust risk assessment. We also flag chemicals and assays for manual inspection, removal, and retesting so that data quality and model outputs can be further improved. \n\nThis dataset is associated with the following publication:\nWatt, E., and R. Judson. Uncertainty Quantification in ToxCast High Throughput Screening.   PLoS Computational Biology. Public Library of Science, San Francisco, CA, USA, 13(7): 1-23, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407004",
      "keyword": [
        "High throughput screening",
        "ToxCast",
        "bootstrap resampling",
        "uncertainty quantification",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Watt%20ER%20Uncertainty%202017/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Watt%20ER%20Uncertainty%202017/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1371/journal.pone.0196963"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Representing the Process of Inflammation as Key Events in Adverse Outcome Pathways",
      "description": "A set of three proposed \"hub\" key events were used to link together a series of example adverse outcome pathway (AOP) descriptions that were previously not linked in an AOP network. While there are no data associated with this product, the relevant adverse outcome pathway descriptions can be found at aopwiki.org. This dataset is not publicly accessible because: This product is a workshop report.  There are no data associated with this product. It can be accessed through the following means: AOP descriptions that illustrate concepts discussed in this paper can be accessed via aopwiki.org. Format: There are no data associated with this product. \n\nThis dataset is associated with the following publication:\nVilleneuve, D., B.  Landesmann, P. Allavena, N. Ashley, A. Bal-Price, E. Corsini, S.  Halappanavar, T.  Hussell, D. Laskin, T. Lawrence, D.  Nikolic-Paterson, M. Pallardy, A. Paini, R. Pieters, R. Roth, and F. Tschudi-Monnet. Representing the process of inflammation as key events in adverse outcome pathways.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  163(2): 346-352, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1423301",
      "keyword": [
        "inflammation",
        "knowledgebase",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Indoor and Built Environment Publication in 2016, Laboratory evaluation of polychlorinated biphenyls encapsulation methods",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains PCB sorption concentrations on encapsulants, PCB concentrations in the air and in wipe samples, model simulation of the PCB concentration gradient in the source and encapsulant layers on exposed surfaces of encapsulants and in room air at different times, the ranking of encapsulants’ performance. \n\nThis dataset is associated with the following publication:\nLiu , X., Z. Guo, K. Krebs , N. Roache, R. Stinson, J. Nardin, R. Pope, C. Mocka, and R. Logan. Laboratory evaluation of PCBs encapsulation method.   Indoor and Built Environment. Sage Publications, THOUSAND OAKS, CA, USA, 25(6): 895-915, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390118",
      "keyword": [
        "PCBs",
        "encapsulant",
        "Polychlorinated biphenyls (PCBs)",
        "Encapsulation",
        "Abatement technique",
        "Sink chamber tests",
        "Wipe Sampling",
        "Barrier modelling",
        "Solid-air partition coefficient",
        "Solid-phase diffusion coefficient"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-k6f0_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390118/XiaoyuLiu_A-k6f0_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-10",
      "references": [
        "https://doi.org/10.1177/1420326x16645150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis in ",
      "description": "A tree database representing a single cohort of trees was assembled using\ndata from U.S Forest Service monitoring plots. Applying existing species specific\nresponse relationships from Thomas et al. (2010), we simulated\nhow forest stands in a 19-state study area would change (biomass and stem density) from 2005 to 2100 under 12 different future N deposition – climate scenarios based on historic levels, current policy and potential futures. \n\nThis dataset is associated with the following publication:\nvan Houtven, G., J. Phelan, C. Clark, R. Sabo, J. Buckley, R.Q. Thomas, K. Horn, and S. LeDuc. Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis.   ECOLOGICAL MONOGRAPHS. Ecological Society of America, Ithaca, NY, USA,  75, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500027",
      "keyword": [
        "atmospheric deposition",
        "climate change",
        "nitrogen deposition",
        "ecosystem services",
        "forest",
        "Northeast U.S."
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "forest_comp_2005-2100_county.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500027/forest_comp_2005-2100_county.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-26",
      "references": [
        "https://doi.org/10.1002/ecm.1345"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500027/documents/Data_Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Concentrations of total phosphorus and ortho phosphate in inflow and outflow",
      "description": "The dataset includes total phosphorus and ortho-phosphate concentrations in water. \n\nThis dataset is associated with the following publication:\nBaek, S., S.H. Joo, D. Linne, S. Leon, C. Luciano, C. Bariley, C. Su, and Y. Wan. Pilot-Scale Application of Shotblast Dust for Phosphorus Removal.   Journal AWWA. American Water Works Association, Denver, CO, USA, 110(11): 64-68, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1431903",
      "keyword": [
        "phosphorus",
        "Shotblast dust",
        "Waste material",
        "iron",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Sung Hee Joo P removal Raw data 418.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1431903/Sung%20Hee%20Joo%20P%20removal%20Raw%20data%20418.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-01",
      "references": [
        "https://doi.org/10.1002/awwa.1186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecosystem services associated with changes in forest composition",
      "description": "This dataset includes the estimated changes in selected ecosystem services associated with the changes in forest composition from the other dataset associated with this Research Effort. \n\nThis dataset is associated with the following publication:\nvan Houtven, G., J. Phelan, C. Clark, R. Sabo, J. Buckley, R.Q. Thomas, K. Horn, and S. LeDuc. Nitrogen Deposition and Climate Change Effects on Tree Species Composition and Ecosystem Services: A Cohort Analysis.   ECOLOGICAL MONOGRAPHS. Ecological Society of America, Ithaca, NY, USA,  75, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503110",
      "keyword": [
        "atmospheric deposition",
        "climate change",
        "nitrogen deposition",
        "ecosystem services",
        "forest",
        "Northeast U.S."
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "carbon_timber_analyses final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503110/carbon_timber_analyses%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-22",
      "references": [
        "https://doi.org/10.1002/ecm.1345"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503110/documents/T016_ES_dataset_description.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for tables and figures",
      "description": "A zipped and tarred file which contains netCDF files needed to replicate all tables and figures shown in the referenced journal article. \n\nThis dataset is associated with the following publication:\nMallard, M., T. Spero, and S. Taylor. Examining WRF’s Sensitivity to Contemporary Land-Use Datasets across the Contiguous United States Using Dynamical Downscaling.   JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY. American Meteorological Society, Boston, MA, USA, 57(11): 2561-2583, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503084",
      "keyword": [
        "land use",
        "WRF",
        "National Land Cover Database (NLCD)",
        "USGS"
      ],
      "contactPoint": {
        "fn": "Megan Mallard",
        "hasEmail": "mailto:mallard.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IEMB/mallard_ORD-021329/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IEMB/mallard_ORD-021329/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-15",
      "references": [
        "https://doi.org/10.1175/jamc-d-17-0328.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Local Real-time Forecasting of Ozone Exposure using Temperature Data",
      "description": "Contains all subject data used the journal paper, including all ozone and meteorological data. \n\nThis dataset is associated with the following publication:\nLu, X., A. Gelfand, and D. Holland. Local real‐time forecasting of ozone exposure using temperature data.   ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 29(7): e2509, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1366697",
      "keyword": [
        "Village Green monitoring",
        "hierarchical model",
        "ozone forecasting"
      ],
      "contactPoint": {
        "fn": "David Holland",
        "hasEmail": "mailto:holland.david@epa.gov"
      },
      "distribution": [
        {
          "title": "subset_durham.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1366697/subset_durham.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "subset_dc.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1366697/subset_dc.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": [
        "https://doi.org/10.1002/env.2509"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity and Disinfection By-product Concentrations after Chlorination of ICM-Containing Source Waters",
      "description": "The dataset consists of two categories of data:  (1) the mutagenicity data, which is composed of the number of mutants (revertants) per Petri plate and (2) the concentrations of various disinfection by-products in the water. \n\nThis dataset is associated with the following publication:\nPostigo, C., D. DeMarini, M. Armstrong, H. Liberatore, K. Lamann, S. Kimura, A. Cuthbertson, S. Warren, S. Richardson, T. Mcdonald, Y. Sey, N. Ackerson, S. Duirk, and J. Simmons. Chlorination of Source Water Containing Iodinated X-Ray Contrast Media:  Mutagenicity and Identification of New Iodinated Disinfection by-products.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(22): 13047-13056, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502529",
      "keyword": [
        "iodinated disinfection by-products",
        "DBPs",
        "X-ray contrast media",
        "chlorination",
        "drinking water",
        "Mutagenicity",
        "Salmonella"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Constrast Media Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502529/Science%20Hub%20Constrast%20Media%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-06",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04625"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Allometric scaling of hepatic biotransformation in rainbow trout",
      "description": "This dataset illustrates relationships between body weight and hepatic phase I and phase II metabolic activity in rainbow trout. \n\nThis dataset is associated with the following publication:\nFitzsimmons, P., A. Hoffman, K. Fay, and J. Nichols. Allometric scaling of hepatic biotransformation in rainbow trout..   COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY PART C: TOXICOLOGY & PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 214: 52-60, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435040",
      "keyword": [
        "rainbow trout",
        "allometry",
        "biotransformation",
        "liver S9 fraction"
      ],
      "contactPoint": {
        "fn": "Patrick Fitzsimmons",
        "hasEmail": "mailto:fitzsimmons.patrick@epa.gov"
      },
      "distribution": [
        {
          "title": "Fitzsimmons-20180501-ScienceHub data summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435040/Fitzsimmons-20180501-ScienceHub%20data%20summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fitzsimmons-20180831-ScienceHub supplemental data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435040/Fitzsimmons-20180831-ScienceHub%20supplemental%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-07",
      "references": [
        "https://doi.org/10.1016/j.cbpc.2018.08.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating n-octanol-water partition coefficients for highly hydrophobic chemicals using measured n-butanol-water partition coefficients",
      "description": "A table of measured n-butanol/water partition coefficients and n-octanol/water partition coefficients. \n\nThis dataset is associated with the following publication:\nHanson, K., D. Hoff, T. Lahren, D. Mount, A. Squillace, and L. Burkhard. Estimating n-octanol-water partition coefficients for neutral highly hydrophobic chemicals using measured n-butanol-water partition coefficients.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 218: 616-623, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502508",
      "keyword": [
        "bioaccumulation",
        "sediment",
        "chemical uptake",
        "bioavailability",
        "sediment testing",
        "fish dietary studies"
      ],
      "contactPoint": {
        "fn": "Lawrence Burkhard",
        "hasEmail": "mailto:burkhard.lawrence@epa.gov"
      },
      "distribution": [
        {
          "title": "Table S4.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502508/Table%20S4.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-07",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2018.11.141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Attributing Differences in the Fate of Lateral Boundary Ozone in AQMEII3 Models to Physical Process Representations\"",
      "description": "This dataset contains the data used in the Figures and Tables of the manuscript “Attributing Differences in the Fate of Lateral Boundary Ozone in AQMEII3 Models to Physical Process Representations \". \n\nThis dataset is associated with the following publication:\nLiu, P., C. Hogrefe, U. Im, J. Christensen, J. Bieser, U. Nopmongcol, G. Yarwood, R. Mathur, S. Roselle, and T. Spero. Attributing differences in the fate of lateral boundary ozone in AQMEII3 models to physical process representations.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(23): 17157-17175, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434297",
      "keyword": [
        "boundary conditions",
        "tracers",
        "vertical mixing",
        "model intercomparison"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/Exposure/A-ksnj/A-ksnj.zip",
          "accessURL": "https://gaftp.epa.gov/Exposure/A-ksnj/A-ksnj.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-01",
      "references": [
        "https://doi.org/10.5194/acp-18-17157-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434297/documents/DataDictionary_LiuEtAl_A-ksnj.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset 1: Studies included in literature review",
      "description": "This dataset contains the results of a literature review of experimental nutrient addition studies to determine which nutrient forms were most often measured in the scientific literature. To obtain a representative selection of relevant studies, we searched Web of Science™ using a search string to target experimental studies in artificial and natural lotic systems while limiting irrelevant papers. We screened the titles and abstracts of returned papers for relevance (experimental studies in streams/stream mesocosms that manipulated nutrients). To supplement this search, we sorted the relevant articles from the Web of Science™ search alphabetically by author and sequentially examined the bibliographies for additional relevant articles (screening titles for relevance, and then screening abstracts of potentially relevant articles) until we had obtained a total of 100 articles. If we could not find a relevant article electronically, we moved to the next article in the bibliography. Our goal was not to be completely comprehensive, but to obtain a fairly large sample of published, peer-reviewed studies from which to assess patterns. We excluded any lentic or estuarine studies from consideration and included only studies that used mesocosms mimicking stream systems (flowing water or stream water source) or that manipulated nutrient concentrations in natural streams or rivers. We excluded studies that used nutrient diffusing substrate (NDS) because these manipulate nutrients on substrates and not in the water column. We also excluded studies examining only nutrient uptake, which rely on measuring dissolved nutrient concentrations with the goal of characterizing in-stream processing (e.g., Newbold et al., 1983). From the included studies, we extracted or summarized the following information: study type, study duration, nutrient treatments, nutrients measured, inclusion of TN and/or TP response to nutrient additions, and a description of how results were reported in relation to the research-management mismatch, if it existed. Below is information on how the search was conducted: \n\nSearch string used for Web of Science advanced search \nSearch conducted on 27 September 2016. \nTS= (stream* OR creek* OR river* OR lotic OR brook OR headwater OR tributary) AND TS = (mesocosm OR flume OR \"artificial stream\" OR \"experimental stream\" OR \"nutrient addition\") AND TI= (nitrogen OR phosphorus OR nutrient OR enrichment OR fertilization OR eutrophication)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503173",
      "keyword": [
        "nutrients",
        "nitrogen",
        "phosphorus",
        "eutrophication",
        "streams",
        "rivers",
        "systematic review",
        "environmental evidence",
        "synthesis"
      ],
      "contactPoint": {
        "fn": "Micah Bennett",
        "hasEmail": "mailto:bennett.micah@epa.gov"
      },
      "distribution": [
        {
          "title": "BennettLee_mismatch_asloBull_ScienceHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503173/BennettLee_mismatch_asloBull_ScienceHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WASP Output for Model Simulations",
      "description": "Data provided includes: the details on the WASP setup, including segment characteristics, the flow path, flow, initial and boundary conditions, and the load; the USGS gage flow information and the hydraulic parameters; and the output from the model simulations. \n\nThis dataset is associated with the following publication:\nKnightes, C., R. Ambrose, B. Avant, Y. Han, B. Acrey, D. Bouchard, R. Zepp, and T. Wool. Modeling framework for simulating concentrations of solute chemicals, nanoparticles, and solids in surface waters and sediments: WASP8 Advanced Toxicant Module.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 111: 444-458, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502480",
      "keyword": [
        "WASP",
        "water quality",
        "nanomaterials",
        "photoreactions"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "WASP Output.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502480/WASP%20Output.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Final_WASP_SetUp_CapeFear03222018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502480/Final_WASP_SetUp_CapeFear03222018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USGS_gages.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502480/USGS_gages.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-11",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2018.10.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Foy Lake Abundance data",
      "description": "Percent abundance of 109 diatom species collected from a Foy Lake (Montana, USA) sediment core that was sampled every ∼5–20 years, yielding a ∼7 kyr record over 800 time-steps. \n\nThis dataset is associated with the following publication:\nSpanbauer, T., C. Allen, D. Angeler, T. Eason , S. Fritz, A. Garmestani , K. Nash, J. Stone, C. Stow, and S. Sundstrom. Body size distributions signal a regime shift in a lake ecosystem.   ECOSYSTEMS. Springer, New York, NY, USA, 283(1833): 00, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503290",
      "keyword": [
        "Foy Lake",
        "Montana",
        "diatoms",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "Foy Lake (Abundance data).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503290/Foy%20Lake%20%28Abundance%20data%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-06-26",
      "references": [
        "https://doi.org/10.1098/rspb.2016.0249"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Contaminants in bald eagles of the upper Midwestern U.S.: A framework for prioritizing future research based on in-vitro bioassays",
      "description": "Contaminant data from bald eagles in the Upper-Midwest of the US. Dataset contains five tables in total including details of sample collection locations, organic contaminant data, and exposure-activity ratios (EARs) individual samples and chemicals. \n\nThis dataset is associated with the following publication:\nElliott, S., W. Route, L. DeCicco, D. VanderMeulen, S. Corsi, and B. Blackwell. Contaminants in bald eagles of the upper Midwestern U.S.: A framework for prioritizing future research based on in-vitro bioassays.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 244: 861-870, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500887",
      "keyword": [
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "ContamsInEagles_SI_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500887/ContamsInEagles_SI_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-13",
      "references": [
        "https://doi.org/10.1016/j.envpol.2018.10.093"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Black Carbon and related environmental data for fate and transport",
      "description": "We determined soil hydrology, soil carbon pools (organic carbon, black carbon, and inorganic carbon) from urban soil assessments (surface and sub-surface horizons) carried out in the core areas of eleven cities in the United States. We used both ordinary least squares and non-parametric CART methods to discern trends in BC concentrations with regard to soil, landscape, and emission metrics. \n\nThis dataset is associated with the following publication:\nSchifman, L., A. Prues, K. Gilkey, and W. Shuster. Realizing the Opportunities of Black carbon in Urban Soils: Implications for Water Quality Management with Green Infrastructure.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 644: 1027-1035, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407689",
      "keyword": [
        "Black Carbon",
        "urban soil",
        "Green Infrastructure",
        "water quality"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Schifmanetal_BlackCarbon_ScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407689/Schifmanetal_BlackCarbon_ScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-03",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.06.396"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"A New Method for Assessing the Efficacy of Emission Control Strategies to Comply with the Ambient Ozone Standard\"",
      "description": "Files containing daily maximum 8-hr ozone mixing ratio observations used in the analysis presented in the manuscript “A New Method for Assessing the Efficacy of Emission Control Strategies to Comply with the Ambient Ozone Standard”. \n\nThis dataset is associated with the following publication:\nLuo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. A new method for assessing the efficacy of emission control strategies.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 199: 233-243, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434296",
      "keyword": [
        "Ozone",
        "emission control strategies",
        "attainment demonstration",
        "probability of exceeding the standard"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeChristian_A-h718_Data_Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434296/HogrefeChristian_A-h718_Data_Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sitecompare_daily_o3_aqmeii3_conus12_2010_bc_glo_em_glo.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434296/sitecompare_daily_o3_aqmeii3_conus12_2010_bc_glo_em_glo.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sitecompare_daily_o3_aqmeii3_conus12_2010_base.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434296/sitecompare_daily_o3_aqmeii3_conus12_2010_base.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434296/sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.11.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434296/documents/HogrefeChristian_A-h718_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Landsat surface temperature",
      "description": "Relatively cloud-free Landsat scenes within ±3 days of coincident in situ measures were retained for validation across the CONUS. The Landsat surface temperature data were interpolated to 30 m to ensure alignment with the solar reflective bands in the Level-1 products, which were in turn used as inputs to the surface temperature retrieval algorithms. For lake and reservoir validation, two sets of temperature data were evaluated: land-water boundary (<59 m from shore) data and far shore (>180 m from shore) data. Estuary data were retained and evaluated only if they were >180 m from shore.  The 59 m near shore threshold was chosen to be smaller than the finer of the two thermal band spatial resolutions for both the Landsat 7 ETM+ (60 m) and Landsat 5 TM (90 m) sensors. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., J. Iiames, J. Dwyer, E. Urquhart, W. Salls, J. Rover, and B. Seegers. An initial validation of Landsat 5 and 7 derived surface water temperature for U.S. lakes, reservoirs, and estuaries.   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 39(22): 7789-7805, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1408879",
      "keyword": [
        "Landsat",
        "temperature",
        "lake",
        "estuary",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Landsat_temp_manuscript.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1408879/Landsat_temp_manuscript.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-18",
      "references": [
        "https://doi.org/10.1080/01431161.2018.1471545"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A state-of-the-science review of chemical and non-chemical stressors found in the built and natural environments and how they may impact American Indian/Alaska Native children’s health and well-being: Dataset",
      "description": "Data gathered from 35 published references (until 2016) targeting built and natural environment stressors for American Indian/Alaska Native children. \n\nThis dataset is associated with the following publication:\nBarros, N., N. Tulve, D. Heggem, and K. Bailey. Review of built and natural environment stressors impacting American-Indian/Alaska-Native children.   REVIEWS ON ENVIRONMENTAL HEALTH. Freund Publishing House Limited, Tel Aviv,  ISRAEL, 33(4): 349–381, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1423768",
      "keyword": [
        "state-of-the-science review",
        "children",
        "American Indian/Alaska Native",
        "built environment",
        "Natural environment",
        "Stressors"
      ],
      "contactPoint": {
        "fn": "Nirmalla Barros",
        "hasEmail": "mailto:barros.nilla@epa.gov"
      },
      "distribution": [
        {
          "title": "Barros et al BuiltNatEnvStressorsReviewManuscript and Dataset 03012018_final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423768/Barros%20et%20al%20BuiltNatEnvStressorsReviewManuscript%20and%20Dataset%2003012018_final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1515/reveh-2018-0034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: A patchy continuum? Stream macronutrient concentration and system metabolism show varied responses to patch- and continuum-based analyses. ",
      "description": "At 21 sites located in the Kanawha River Basin in West Virginia, U.S.A., Oxygen concentration (mg l-1) and water temperature (°C) were measured every 15 min for > 72 h using TROLL® 9500 multiparameter water quality instruments. \n\nThis dataset is associated with the following publication:\nCollins, S., S. Matter, I. Buffam, and J. Flotemersch. A patchy continuum? Stream processes show varied responses to patch‐ and continuum‐based analyses.   Ecosphere. ESA Journals,    9(11): e02481, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500943",
      "keyword": [
        "Oxygen",
        "temperature",
        "River Continuum Concept",
        "Riverine Ecosystem Synthesis",
        "stream order",
        "functional process zones"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "Kanawha River Basin temperature and DO data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500943/Kanawha%20River%20Basin%20temperature%20and%20DO%20data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-03-31",
      "references": [
        "https://doi.org/10.1002/ecs2.2481"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Seasonal ozone vertical profiles over North America using the AQMEII group of air quality models: model inter-comparison and stratospheric intrusions\"",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Seasonal ozone vertical profiles over North America using the AQMEII group of air quality models: model inter-comparison and stratospheric intrusions\" led by Dr. Marina Astitha of the University of Connecticut. \n\nThis dataset is associated with the following publication:\nAstitha, M., I. Kioutskioukis, G.A. Fisseha, R. Bianconi, J. Bieser, J. Christensen, O. Cooper, S. Galmarini, C. Hogrefe, U. Im, B. Johnson, P. Liu, U. Nopmongcol, I. Petropavlovskikh, E. Solazzo, D. Tarasick, and G. Yarwood. Seasonal ozone vertical profiles over North America using the AQMEII3 group of air quality models: model inter-comparison and stratospheric intrusions.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(19): 13925-13945, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434292",
      "keyword": [
        "model evaluation",
        "stratospheric intrusion",
        "free tropospheric ozone",
        "model intercomparison"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeChristian_A-nk9w_DataSet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434292/HogrefeChristian_A-nk9w_DataSet.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.5194/acp-18-13925-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
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        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Continuous, Near Real-Time Evaluation of CMAQ: An Approach for the Rapid Scientific Evolution of the Modeling System",
      "description": "Near Real Time CMAQ Simulations compared to AQS Observations. \n\nThis dataset is associated with the following publication:\nEder, B., R. Gilliam, G. Pouliot, R. Mathur, and J. Pleim. Continuous, Near Real-Time Evaluation of Air Quality Models: An Approach for the Rapid Scientific Evolution of Modeling Systems.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  1-6, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434608",
      "keyword": [
        "CMAQ",
        "Ozone",
        "particulate matter",
        "Model Evluation"
      ],
      "contactPoint": {
        "fn": "Brian Eder",
        "hasEmail": "mailto:eder.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "O3_AIRNOW_CMAQ_24h_0Z_20160610.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434608/O3_AIRNOW_CMAQ_24h_0Z_20160610.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PM25_AIRNOW_CMAQ_24h_0Z_20140201.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434608/PM25_AIRNOW_CMAQ_24h_0Z_20140201.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PM25_AIRNOW_CMAQ_24h_0Z_20150705.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434608/PM25_AIRNOW_CMAQ_24h_0Z_20150705.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PM25_AIRNOW_CMAQ_24h_0Z_20170201.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434608/PM25_AIRNOW_CMAQ_24h_0Z_20170201.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PM25_AIRNOW_CMAQ_24h_0Z_20170131.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434608/PM25_AIRNOW_CMAQ_24h_0Z_20170131.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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        ]
      },
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    },
    {
      "title": "Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States",
      "description": "Atmospheric organic aerosol (OA) has important impacts on climate and human health but its sources remain poorly understood. Biogenic monoterpenes and sesquiterpenes are important precursors of secondary organic aerosol (SOA), but the amounts and pathways of SOA generation from these precursors are not well constrained by observations. We propose that the less-oxidized oxygenated organic aerosol (LO-OOA) factor resolved from positive matrix factorization (PMF) analysis on aerosol mass spectrometry (AMS) data can be used as a surrogate for fresh SOA from monoterpenes and sesquiterpenes in the southeastern US. This hypothesis is supported by multiple lines of evidence, including lab-in-the-field perturbation experiments, extensive ambient ground-level measurements, and state-of-the-art modeling. We performed lab-in-the-field experiments in which the ambient air is perturbed by the injection of selected monoterpenes and sesquiterpenes, and the subsequent SOA formation is investigated. PMF analysis on the perturbation experiments provides an objective link between LO-OOA and fresh SOA from monoterpenes and sesquiterpenes as well as insights into the sources of other OA factors. Further, we use an upgraded atmospheric model and show that modeled SOA concentrations from monoterpenes and sesquiterpenes could reproduce both the magnitude and diurnal variation of LO-OOA at multiple sites in the southeastern US, building confidence in our hypothesis. We estimate the annual average concentration of SOA from monoterpenes and sesquiterpenes in the southeastern US to be roughly 2µgm−3.\n\nDataset (csv file) contains CMAQ model predictions for locations in the southeastern US during 2012 and 2013. The species definition file (txt) defines how quantities were obtained from the model. Data in the csv files follows the writesite utility output format (https://github.com/USEPA/CMAQ/tree/5.2.1/POST/writesite). Links to additional datasets are provided. \n\nThis dataset is associated with the following publication:\nXu, L., H. Pye, J. He, Y. Chen, B. Murphy, and N. Ng. Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(17): 12613-12637, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502524",
      "keyword": [
        "Monoterpene",
        "Secondary Organic Aerosol",
        "CMAQ",
        "Community Multi-scale Air Quality (CMAQ) model",
        "SOAS",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "cmaqv52withsaha.20170525.may2012.3c.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502524/cmaqv52withsaha.20170525.may2012.3c.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cmaqv52withsaha.20170525.june2013.1cd.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502524/cmaqv52withsaha.20170525.june2013.1cd.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cmaqv52withsaha.20170525.nov2012.5c.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502524/cmaqv52withsaha.20170525.nov2012.5c.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cmaqv52withsaha.20170525.june2012.4cd.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502524/cmaqv52withsaha.20170525.june2012.4cd.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "species.lu.20170525.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502524/species.lu.20170525.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-25",
      "references": [
        "https://doi.org/10.5194/acp-18-12613-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "1990-2010 PM & O3 concentrations and related premature mortality estimates",
      "description": "This data sets includes data shown in the Figures and Tables in the publication by Zhang et al (2018):  https://doi.org/10.5194/acp-2018-498. \n\nThis dataset is associated with the following publication:\nZhang, Y., J.J. West, R. Mathur, J. Xing, C. Hogrefe, S. Roselle, J. Bash, J. Pleim, C. Gan, and D. Wong. Long-term trends in the ambient PM2.5- and O3-related mortality burdens in the United States under emission reductions from 1990 to 2010.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(20): 15003-15016, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434283",
      "keyword": [
        "Human Exposure",
        "air quality modeling",
        "long-term trends",
        "pm2.5",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Dictionary_acp-2018-498.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Data_Dictionary_acp-2018-498.docx",
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        {
          "title": "Figs_1_abc_O3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_1_abc_O3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_1_abc_PM25.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_1_abc_PM25.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_2_Pops.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_2_Pops.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_4_def_O3_mortality_burden.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_4_def_O3_mortality_burden.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_Mrates_COPD.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_5_Mrates_COPD.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_Mrates_IHD.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_5_Mrates_IHD.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_Mrates_STROKE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_5_Mrates_STROKE.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_5_Mrates_LC.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_5_Mrates_LC.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Figs_6_a_PM25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_6_a_PM25.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Figs_5_Mrates_RESP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_5_Mrates_RESP.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_6_b_O3.xlsx",
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          "title": "Figs_4_abc_PM25_mortality_burden.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Figs_4_abc_PM25_mortality_burden.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_ConcentrationOnly_GBD_Threshold.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_ConcentrationOnly_GBD_Threshold.csv",
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        },
        {
          "title": "Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_MortalityRatesOnly_GBD_Threshold.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_MortalityRatesOnly_GBD_Threshold.csv",
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        {
          "title": "Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_PopulationMortality_GBD_Threshold.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_PopulationMortality_GBD_Threshold.csv",
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        },
        {
          "title": "Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_PopulationOnly_GBD_Threshold.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_O3_RESP_Mortality_Burden_1990-2010_NF_PopulationOnly_GBD_Threshold.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_ConcentrationOnly.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_MortalityRatesOnly.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_MortalityRatesOnly.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_PopulationMortality.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_PopulationMortality.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_PopulationOnly.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_1_PM25_Total_Mortality_Burden_1990-2010_NF_PopulationOnly.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_2_O3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_2_O3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables_2_PM25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/Tables_2_PM25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-30",
      "references": [
        "https://doi.org/10.5194/acp-18-15003-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434283/documents/Data_Dictionary_acp-2018-498.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Column NO2 from ground, aircraft and satellite",
      "description": "Vertical and slant column densities over Seoul and Los Angeles. \n\nThis dataset is associated with the following publication:\nJudd, L., J.A. Al-Saadi, L. Valin, R.B. Pierce, K. Yang, S.J. Janz, M.G. Kowalewski, J. Szykman, M. Tiefengraber, and M. Mueller. The Dawn of Geostationary Air Quality Monitoring: Case Studies From Seoul and Los Angeles.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 6: 85, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502545",
      "keyword": [
        "nitrogen dioxide NO2",
        "air quality",
        "pandora",
        "GeoTASO",
        "satellite",
        "geostationary"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq?B200=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq?B200=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/lmos",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/lmos",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dx.doi.org/10.5067/Q22N0XVLE2QAVR3",
          "accessURL": "https://dx.doi.org/10.5067/Q22N0XVLE2QAVR3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nomads.ncep.noaa.gov",
          "accessURL": "https://nomads.ncep.noaa.gov",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.arb.ca.gov/aqmis2/metselect.php.",
          "accessURL": "https://www.arb.ca.gov/aqmis2/metselect.php.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.3389/fenvs.2018.00085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HgSe XANES data",
      "description": "This dataset represents Figure 4 in the manuscript which shows the comparison of Se speciation of HgSe relative to samples with linear combination fits. \n\nThis dataset is associated with the following publication:\nGajdosechova, Z., M. Lawan, D. Urgast, A. Raab, K. Scheckel , E. Lombi, P. Kopittke, K. Löeschner, E. Larsen, G. Woods, A. Brownlow, F. Read, J. Feldmann, and E. Krupp. <I>In vivo</I> formation of natural HgSe nanoparticles in the liver and brain of pilot whales.  Staffan Normark  NATURE. Macmillan Publishers Ltd., London,  UK, 6(34361): 1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503210",
      "keyword": [
        "synchrotron speciation",
        "mercury",
        "bioavailability"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Gajdosechova HgSe XANES Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503210/Gajdosechova%20HgSe%20XANES%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-04",
      "references": [
        "https://doi.org/10.1038/srep34361"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Overflow System Capacity",
      "description": "This dataset contains results of overflow system experiments for 4-, 6-, and 8-inch overflow systems. The systems were operated without a mesh, or with varying degrees of blockage, from clean to 60% blocked. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., J. Goodrich, J. Szabo, J. Hall, J. Crosby, S. Tourney, and R. Clement. Understanding the Impact of Mesh on Tank Overflow System Capacity - journal.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(12): E44-E51, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1407687",
      "keyword": [
        "storage tanks",
        "hydraulics",
        "mesh",
        "overflow systems"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Burkhardt-SciHub_A-rr5m_-TankOverflow.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407687/Burkhardt-SciHub_A-rr5m_-TankOverflow.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-13",
      "references": [
        "https://doi.org/10.1002/awwa.1162"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2014HarshaLakeFlyover_WaterChemistryDataUsedForChlorophyllStudy.xlsx",
      "description": "Chlorophyll and General Water Quality variables collected during a flyover event of Harsha Lake in Southwestern Ohio. 44 sites were sampled within one hour of aerial imagery acquisition. \n\nThis dataset is associated with the following publication:\nBeck, R., S. Zhan, H. Liu, S. Tong, B. Yang, M. Xu, Z. Ye, Y. Huang, S. Shu, K. Berling, M. Andrew, E. Emery, M. Reif, J. Harwood, J. Young, C. Nietch , D. Macke , M. Martin, G. Stillings, R. Stumpf, and H. Su. Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 178: 15-30, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503177",
      "keyword": [
        "remote sensing",
        "Chlorophyll-a",
        "algal bloom",
        "harmful algal bloom",
        "algorithm",
        "satellite",
        "hyperspectral"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "2014HarshaLakeFlyover_WaterChemistryDataUsedForChlorophyllStudy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503177/2014HarshaLakeFlyover_WaterChemistryDataUsedForChlorophyllStudy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-19",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0034425716300943"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In silico site-directed mutagenesis informs species-specific predictions of chemical susceptibility derived from the Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) ",
      "description": "All data associated with publication are publicly available online at https://datadryad.org/ by searching doi:10.5061/dryad.2tg6967\nUpon accessing data on datadryad.org:\nData descriptions are found with Supplemental Data presented in the pdf (Supplementary Data.pdf (600.4 Kb)).\nData description of supplemental Data (Supplementary Data File.xlsx (1.167 Mb)) is provided below:\nTabs one, two, and three contain the raw data for acetylcholinesterase (AChE) Level 1 (Figure 1A), Level 2 (Figure 1B), and Level 3 (Table 2) SeqAPASS analysis, respectively. Tab four contains the raw data for AChE Level 3 improved SeqAPASS analysis (Table 5). Tabs five, six, and seven contain the raw data for ecdysone receptor (EcR) Level 1 (Figure 2A), Level 2 (Figure 2B), and Level 3 (Table 6) SeqAPASS analysis, respectively. Tab eight contains the raw data for EcR Level 3 improved SeqAPASS analysis (Table 8). \n\nThis dataset is associated with the following publication:\nDoering, J., S. Lee, K. Kristiansen, L. Evenseth, M. Barron, I. Sylte, and C. LaLone. In silico site-directed mutagenesis informs species-specific predictions of chemical susceptibility derived from the Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  166(1): 131-145, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1432264",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "honey bee",
        "cross-species extrapolation",
        "screening and prioritization",
        "networks"
      ],
      "contactPoint": {
        "fn": "Carlie Lalone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/",
          "accessURL": "https://datadryad.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-30",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wilkin et al. (2018) PRB Long-term Performance TCE",
      "description": "The dataset accompanies the manuscript. The data provided include concentration data for trichloroethene, cis-dichloroethene, vinyl chloride, ethane, and ethane. Stable isotope data are provided for trichloroethene, cis-dichloroethene, vinyl chloride, methane, and dissolved carbon dioxide. Additional data are provided in the supporting information published with the article. \n\nThis dataset is associated with the following publication:\nWilkin, R.T., T.R. Lee, M.R. Sexton, S.D. Acree, R.W. Puls, D.W. Blowes, C. Kalinowski, J.M. Tilton, and L.L. Woods. Geochemical and Isotope Study of Trichloroethene Degradation in a Zero-Valent Iron Permeable Reactive Barrier: A Twenty-Two-Year Performance Evaluation.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53: 296-306, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502491",
      "keyword": [
        "groundwater",
        "chromium",
        "Aquifer remediation",
        "arsenic",
        "TCE",
        "Permeable Reactive Barrier"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkin et al. (2018) PRB Long-term Performance TCE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502491/Wilkin%20et%20al.%20%282018%29%20PRB%20Long-term%20Performance%20TCE.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-20",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04081"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions\"",
      "description": "This dataset contains the data contributed by EPA/ORD/NERL/CED researchers to the manuscript \"Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions\" led by Dr. Gabriele Curci of the University of L’Aquila in L’Aquila, Italy. \n\nThis dataset is associated with the following publication:\nCurci, G., U. Alyuz, R. Baro, R. Bianconi, J. Bieser, J. Christensen, A. Colette, A. Farrow, X. Francis, P. Jimenez-Guerrero, U. Im, P. Liu, A. Manders, L. Palacios-Pena, M. Prank, L. Pozzoli, R. Sokhi, E. Solazzo, P. Tuccella, A. Unal, M. Garcia Vivanco, C. Hogrefe, and S. Galmarini. Modelling black carbon absorption of solar radiation: combining external and internal mixing assumptions.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 19(1): 181-204, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434291",
      "keyword": [
        "Aerosol optics",
        "aerosol mixing states",
        "model intercomparison",
        "FlexAOD"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeChristian_A-wh7s_DataSet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434291/HogrefeChristian_A-wh7s_DataSet.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.5194/acp-19-181-2019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434291/documents/HogrefeChristian_A-wh7s_DataDescription.zip",
        "mediaType": "application/zip"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Evaluation of Chemical Effects on Network Formation in Cortical Neurons Grown on Microelectrode Arrays",
      "description": "This dataset contains the raw data, Area under the curve measurements and EC50 values for effects of 146 compounds (136 unique plus 10 biological replicates) on parameters of network development measured in vitro. There are 17 parameters plus 2 measures of viability. In addition, the data for the ranking of potency and selectivity are provided, as well as data for the comparisons to other ToxCast assays and in vitro to in vivo extrapolations. \n\nThis dataset is associated with the following publication:\nShafer, T., J. Brown, B. Lynch, S. Davila-Montero, K. Wallace, and K. Paul-Friedman. Evaluation of Chemical Effects on Network Formation in Cortical Neurons Grown on Microelectrode Arrays.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  169(2): 436-455, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503191",
      "keyword": [
        "developmental neurotoxicity",
        "Chemical Screening",
        "Microelectrode array",
        "In vitro assay"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "MEA_and_ToxCast_and AEDs_for_TC_NTP_25Oct2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503191/MEA_and_ToxCast_and%20AEDs_for_TC_NTP_25Oct2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Excel scatter plot potency vs viability_Nov_26_2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503191/Excel%20scatter%20plot%20potency%20vs%20viability_Nov_26_2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Excel_selectivity_Oct 26_2018_alt.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503191/Excel_selectivity_Oct%2026_2018_alt.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NTP_TC_Analysis.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503191/NTP_TC_Analysis.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-26",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iodotyrosine deiodinase: mRNA expression and experimental inhibition study in Xenopus laevis",
      "description": "This excel file contains the resultant data from a study on iodotyrosine deiodinase in the model amphibian species, Xenopus laevis. These data include: tadpole growth and development, thyroid hormones in plasma and glands, and expression of thyroid-relevant genes. The initial worksheet tab that provides metadata for each dataset included in the other worksheets that make up the file. \n\nThis dataset is associated with the following publication:\nOlker, J., J. Haselman, P. Kosian, K. Donnay, J. Korte, C. Blanksma, M. Hornung, and S. Degitz. Evaluating iodide recycling inhibition as a novel molecular initiating event for thyroid axis disruption in amphibians.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  166(2): 318-331, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500003",
      "keyword": [
        "iodotyrosine deiodinase",
        "thyroid",
        "amphibian metamorphosis",
        "iodine deficiency",
        "endocrine disruption",
        "Xenopus laevis"
      ],
      "contactPoint": {
        "fn": "Jennifer Olker",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Olker_et_al_IYD_180803.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500003/Olker_et_al_IYD_180803.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-03",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy203"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Purpose Driven Reconciliation Approaches Estimate Chemical Releases DataSet",
      "description": "Curated input data for regression tree modeling, links for EPA sources of data, and glossary of terms used in the data are presented in a spreadsheet.  The data set has production volumes, emissions, and physicochemical properties for chemicals. \n\nThis dataset is associated with the following publication:\nMeyer, D., V. Mittal, W. Ingwersen, G. Ruiz-Mercado, W. Barrett, M. Gonzalez, J. Abraham, and R. Smith. Purpose-Driven Reconciliation of Approaches to Estimate Chemical Releases.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 7(1): 1260-1270, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503037",
      "keyword": [
        "LCI",
        "data mining",
        "Chemical Manufacture",
        "US EPA Database",
        "Process Design",
        "Simulation"
      ],
      "contactPoint": {
        "fn": "Raymond Smith",
        "hasEmail": "mailto:smith.raymond@epa.gov"
      },
      "distribution": [
        {
          "title": "PurposeDrivenReconciliationApproachesEstimateChemicalReleases DataSet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503037/PurposeDrivenReconciliationApproachesEstimateChemicalReleases%20DataSet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-18",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.8b04923"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals",
      "description": "In vitro biological activity data from a extracts of a nationwide survey of US streams. \n\nThis dataset is associated with the following publication:\nBlackwell, B., G. Ankley, P. Bradley, K. Houck, S.S.  Makarov, A. Medvedev, J. Swintek, and D. Villeneuve. Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 973-983, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500886",
      "keyword": [
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "Blackwell_es-2018-05304s_Final SI Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500886/Blackwell_es-2018-05304s_Final%20SI%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-13",
      "references": [
        "https://doi.org/10.1021/acs.est.8b05304"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sr transfer",
      "description": "SR Transfer. \n\nThis dataset is associated with the following publication:\nMelnyk, L., M. Donohue, M. Pham, and J. Donohue. Absorption of Strontium by Foods Prepared in Drinking Water.   American Journal of Public Health. American Public Health Association, Washington, DC, USA, 53: 22-26, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502471",
      "keyword": [
        "Strontium",
        "transfer",
        "water",
        "foods",
        "relative source contribution"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "SR TRANSFER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502471/SR%20TRANSFER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-04",
      "references": [
        "https://doi.org/10.1016/j.jtemb.2019.01.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Georgeite paper dataset in spreadsheet",
      "description": "The dataset represents data used to create tables and figures used in in manuscript. \n\nThis dataset is associated with the following publication:\nLytle, D., D. Wahman, M. Schock, M. Nadagouda, S. Harmon, K. Webster, and J. Botkins. Georgeite: A Rare Copper Mineral with Important Drinking Water Implications.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 355: 1-10, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1371617",
      "keyword": [
        "Georgeite",
        "Copper",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Georgeite Paper Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1371617/Georgeite%20Paper%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-17",
      "references": [
        "https://doi.org/10.1016/j.cej.2018.08.106"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coliform persistence in aircraft water systems and assessment of disinfection and flushing procedures",
      "description": "In 2009, the EPA promulgated the Aircraft Drinking Water Rule (ADWR), which aims to ensure that safe and reliable drinking water is provided to aircraft passengers and crew.  The rule sets a schedule for disinfection, flushing and coliform/E. coli sampling, in addition to instituting best practices and operator training.  In this study, a full scale reproduction of an aircraft drinking water system was constructed at the Test and Evaluation (T&E) facility in Cincinnati, OH.  The water system was conditioned using municipal tap water with a mixture of free chlorine and chloramines, and subsequently contaminated with coliforms.   Disinfection was undertaken using two common airline industry methods: chlorine dioxide at 100 mg/L (or higher) for two hours, and ozone at 1 mg/L (or higher) for 5 minutes. After disinfection, the water system was flushed until no disinfectant residual remained and then filled with treated municipal drinking water.  \n\nResults show that coliforms were not persistent on the aircraft plumbing surfaces, and no coliform positives were detected after disinfection and flushing.  The one exception was the aerator attached to the faucet typically installed in the lavatory, was positive for coliforms after disinfection. These data suggest that the faucet aerators could be a source of coliform contamination that may result in coliform positive samples taken under the ADWR.  Further experiments conducted on disinfection of aerators with glycolic acid and quaternary ammonia (both commonly used by the airlines) showed no detectable coliforms on coliform contaminated aerators after 30 minutes of soaking in the disinfectants.  However, many airlines disinfect aerators by the above methods or simply replace the aerators during each disinfection, effectively eliminating this potential source of coliform contamination. \n\nThis dataset is associated with the following publication:\nSzabo, J., M. Rodgers, J. Mistry, J. Steenbock, J. Hoelle, and J. Hall. The effectiveness of disinfection and flushing procedures to prevent coliform persistence in aircraft water systems.   JOURNAL OF WATER SUPPLY: RESEARCH AND TECHNOLOGY - AQUA. IWA Publishing, London,  UK,  1-8, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390163",
      "keyword": [
        "drinking water",
        "Drinking water distribution system",
        "E. coli",
        "chlorine dioixde",
        "Ozone",
        "aircraft engines"
      ],
      "contactPoint": {
        "fn": "Jeffrey Szabo",
        "hasEmail": "mailto:szabo.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Aircraft Decon Analysis Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390163/Aircraft%20Decon%20Analysis%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-21",
      "references": [
        "https://doi.org/10.2166/ws.2018.195"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Calapooia_NInventory_2008",
      "description": "The dataset contains calculated results of annual and seasonal input of nitrogen from seven major sources in the Calapooia River Watershed and its subwatersheds. It also contains annual and seasonal export of nitrogen from crop harvest and stream export. \n\nThis dataset is associated with the following publication:\nLin, J., J. Compton, S. Leibowitz, G. Mueller-Warrant, W. Matthews, S. Schoenholz, D. Evans, and R. Coulombe. Seasonality of nitrogen balances in a Mediterranean climate watershed, Oregon, US.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 142(2): 247-264, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500883",
      "keyword": [
        "Agriculture",
        "GIS",
        "nutrient use efficiency",
        "grass seed crops",
        "seasonal analysis",
        "water quality",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Jiajia Lin",
        "hasEmail": "mailto:lin.jiajia@epa.gov"
      },
      "distribution": [
        {
          "title": "Calapooia_NInventory_2008.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500883/Calapooia_NInventory_2008.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-22",
      "references": [
        "https://doi.org/10.1007/s10533-018-0532-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Peat fire emission factors",
      "description": "These data include calculated emissions factors for the peat fire data set. PAH, PCDD/PCDFs, BC and other pollutants are included. \n\nThis dataset is associated with the following publication:\nBlack, R., B. Gullett , I. George , J. Aurell, A. Holder , M. Hays , C. Geron , and D. Tabor. Characterization of Gas and Particle Emissions from Laboratory Burns of Peat.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 132: 49-57, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390095",
      "keyword": [
        "PM",
        "CO",
        "peat fires",
        "PAH",
        "PCDDs",
        "PCDD/PCDF"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Peat summary sheet 08 18 2014 BG.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390095/Peat%20summary%20sheet%2008%2018%202014%20BG.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-03-09",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.02.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urban soil hydrology, hydraulic conductivity measurements",
      "description": "We used field measurements of seldom-assessed hydraulic conductivity in urban locations.\nAlthough emphasis is placed on soils as permeable surfaces that regulate the rainfall-runoff process, representative soil hydraulic and hydrologic parameters for urban areas are rare. The extent to which measured and commonly simulated hydraulic data may differ is also largely uncharacterized. As part of the EPA urban soil assessment infiltration and drainage rates were measured in 12 cities and compared these to estimates generated from the EPA National Stormwater Calculator (NSWC), USDA Soil Survey Geographic Database (SSURGO), and USDA Rosetta. \n\nThis dataset is associated with the following publication:\nSchifman, L., and W. Shuster. Comparison of Measured and Simulated Urban Soil Hydrologic Properties.   Journal of Hydrologic Engineering. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 24(1): 04018056, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1395236",
      "keyword": [
        "Hydraulic Conductivity",
        "National Stormwater Calculator",
        "USDA Rosetta",
        "SSURGO",
        "Green Infrastructure",
        "pedotransfer functions"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Schifman_UrbanSoilConductivity.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395236/Schifman_UrbanSoilConductivity.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-05",
      "references": [
        "https://doi.org/10.1061/(asce)he.1943-5584.0001684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro and in vivo estrogen receptor data sets",
      "description": "In vitro and in vivo data for the estrogen receptor. The in vivo data is for binding, agonism, and antagonism. The in vivo data is from mouse uterotropic assay data.  The following columns are provided in each data set:  molecular id, SMILES structure, class (1=active, 0 =  inactive), and set (T=training, P=prediction set). \n\nThis dataset is associated with the following publication:\nMartin , T. Prediction of in vitro and in vivo oestrogen receptor activity using hierarchical clustering.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 27(1): 17-30, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503161",
      "keyword": [
        "qsar",
        "estrogenic activity in vitro and in vivo"
      ],
      "contactPoint": {
        "fn": "Todd Martin",
        "hasEmail": "mailto:martin.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "scihub data for ER paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503161/scihub%20data%20for%20ER%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-08",
      "references": [
        "https://doi.org/10.1080/1062936x.2015.1125945"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summary of RHESSys Simulations of GI Sensitivity",
      "description": "Summary of RHESSys simulation output supporting the journal article title \"Simulated Sensitivity of Urban Green Infrastructure Practices to Climate Change\". \n\nThis dataset is associated with the following publication:\nSarkar, S., J. Butcher, T. Johnson, and C. Clark. Simulated Sensitivity of Urban Green Infrastructure Practices to Climate Change.   Earth Interactions. American Meteorological Society, Boston, MA, USA, 22(13): 1-37, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1427166",
      "keyword": [
        "climate",
        "urban",
        "bmp",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Sarkar_2018_GI Sensitivity_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1427166/Sarkar_2018_GI%20Sensitivity_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-20",
      "references": [
        "https://doi.org/10.1175/ei-d-17-0015.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Theoretical Study of Isoprene Peroxy Radical 1-5 Hydrogen Shift Reactions that Regenerate HOx Radicals and Produce Highly Oxidized Molecules",
      "description": "The attached extensive computational chemistry dataset involves detailed electronic structure (density functional theory - DFT) and kinetic calculation (master equation formalism) outputs for the reactions of isoprene and first generation oxidants with the hydroxyl radical. There are a total of 9 tabs in the Excel spreadsheet.  The first two tabs provide the potential energy surfaces (PESs) of the isoprene+OH and isopOOH+OH (1st generation oxidant) reactions.  The PESs are zero-point energy corrected and obtained at the M062x/maug-cc-pVTZ level of DFT.  The third tab provides the reaction barriers for first and second generation 1,5-hydrogen atom shifts for two different isoprene peroxy radical isomers with several different DFT methods.  The fourth and fifth tabs provide microcanonical rate constants for the reactions of isoprene and isopOOH with OH respectively. The remaining tabs give the rate constants for the 1,5-H shifts for four different isoprene peroxy radicals.  The rate constants are computed using the M062x density functional and an average of 4 different DFT methods given in tab 3 for comparison.  The average values are reported as the final rate constants determined by computational methods. \n\nThis dataset is associated with the following publication:\nPiletic, I., R. Howell, L. Bartolotti, T. Kleindienst, S. Kaushik, and E. Edney. Multigenerational Theoretical Study of Isoprene Peroxy Radical 1–5-Hydrogen Shift Reactions that Regenerate HOx Radicals and Produce Highly Oxidized Molecules.   JOURNAL OF PHYSICAL CHEMISTRY A. American Chemical Society, Washington, DC, USA, 123(4): 906-919, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502513",
      "keyword": [
        "air quality",
        "NOx",
        "pm2.5",
        "ozone concentrations",
        "CMAQ",
        "computational chemistry",
        "atmospheric chemistry"
      ],
      "contactPoint": {
        "fn": "Ivan Piletic",
        "hasEmail": "mailto:piletic.ivan@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_IRPDataset_2018_IsopreneIsomerizationChemistry_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502513/ScienceHub_IRPDataset_2018_IsopreneIsomerizationChemistry_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1021/acs.jpca.8b09738"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502513/documents/COMPCHEMDataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Transformation of Silver Nanoparticle Consumer Products during Simulated Usage and Disposal",
      "description": "The data set contains the details on the silver speciation in silver nanoparticle consumer products and the transformation of the silver during their usage and disposal. Synthetic stomach fluid and wastewater sludge are used to create a model for the lifecycle of silver nanoparticle dietary supplements. \n\nThis dataset is associated with the following publication:\nPotter, P., J. Navratilova, K. Rogers, and S. Al-Abed. Transformation of silver nanoparticle consumer products during simulated usage and disposal.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 6(2): 592-598, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502493",
      "keyword": [
        "silver nanoparticles",
        "environmental fate and transformation",
        "consumer products",
        "particle size",
        "capping agent"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "raw data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502493/raw%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-29",
      "references": [
        "https://doi.org/10.1039/c8en00958a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502493/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "PCBs in Caulk report 07132010",
      "description": "A method was developed to determine the levels of polychlorinated biphenyls (PCBs) in caulk and window glazing. This method was tested on a combination of 36 samples of caulk and glazing materials from older buildings in the northeastern area of the United States. \n\nThis dataset is associated with the following publication:\nOsemwengie, L., and J. Morgan. PCBs in Older Buildings: Measuring PCB Levels in Caulk and Window Glazing Materials in Older Buildings.   Environments. MDPI AG, Basel,  SWITZERLAND, 6(2): 15, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407532",
      "keyword": [
        "PCBs",
        "Pressurized liquid extraction (PLE)",
        "Caulking materials",
        "Arochlor",
        "gas chromatography",
        "Old buildings"
      ],
      "contactPoint": {
        "fn": "Lantis Osemwengie",
        "hasEmail": "mailto:osemwengie.lantis@epa.gov"
      },
      "distribution": [
        {
          "title": "PCB final report 07132010.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407532/PCB%20final%20report%2007132010.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_A-p8dh_SDMP_20170307.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407532/Metadata_A-p8dh_SDMP_20170307.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2010-07-13",
      "references": [
        "https://doi.org/10.3390/environments6020015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variability of pyrethroid and pyrethroid degradate concentrations on hard surface kitchen flooring in occupied residences.",
      "description": "Concentrations of pyrethroids and pyrethroid degradates in surface wipe samples collected from occupied residences. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Restricted access may be granted to authorized persons by contacting the party listed. \r\nJames Starr\r\nResearch Physical Scientist\r\nUSEPA/ORD/NERL/EMMD/PHCB\r\nMD D205-05\r\n109 TW Alexander Dr.\r\nRTP, NC 27711. Format: These data are from a human study. The study design was approved by the US EPA’s Human Subjects Research Review Official and the University of North Carolina’s Institutional Review Board (study number 09-0741). \n\nThis dataset is associated with the following publication:\nStarr, J., S. Graham, W. Li, A. Gemma, and M. Morgan. Variability of pyrethroid concentrations on hard surface kitchen flooring in occupied housing.   INDOOR AIR. Blackwell Publishing, Malden, MA, USA, 28(5): 665-675, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407682",
      "keyword": [
        "indoor",
        "pyrethorid degrates",
        "pyrethorids",
        "Wipe Sampling"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [],
      "modified": "2017-07-31",
      "references": [
        "https://doi.org/10.1111/ina.12471"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaccessibility of fipronil sorbed to soils and house dusts",
      "description": "Bioaccessibility values for fipronil determined using 37 paired soil and dust samples. Values for the physicochemical properties of the soils and dusts used to model the bioaccessibility data. \n\nThis dataset is associated with the following publication:\nStarr , J., W. Li, S. Graham , K. Bradham , D. Stout , A. Williams , and J. Sylva. Using paired soil and house dust samples in an in vitro assay to assess the post ingestion bioaccessibility of sorbed fipronil.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 312: 141-149, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500445",
      "keyword": [
        "fipronil",
        "Bioaccessibility",
        "ingestion",
        "Soils",
        "House dusts"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub data Fipronil bioaccessibility.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500445/Science%20Hub%20data%20Fipronil%20bioaccessibility.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-16",
      "references": [
        "http://www.sciencedirect.com/science/article/pii/S0304389416302758"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The role of soil and house dust physicochemical properties in the post ingestion bioaccessibility of sorbed polychlorinated biphenyls",
      "description": "This file presents physicochemical properties of soils, house dusts, PCBs, and the bioaccessibility values calculated from the analysis of PCBs in the soils, house dusts, and synthetic digestive fluids. Bioaccessibility values were calculated using the ratio of the analyte in the sediment relative to that in the digestive fluids. The first tab in the excel spreadsheet is the data dictionary and contains the meta data (column headings and fields).  The second tab contains the soil/dust/PCB physicochemical properties and the associated bioaccessibility values. \n\nThis dataset is associated with the following publication:\nShen, H., W. Li, S. Graham, and J. Starr. The role of soil and house dust physicochemical properties in determining the post ingestion bioaccessibility of sorbed polychlorinated biphenyls.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 217: 1-8, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500917",
      "keyword": [
        "Polychlorinated biphenyls",
        "Bioaccessibility Soil",
        "House dust",
        "ingestion",
        "physicochemical properties"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [
        {
          "title": "PCB data for ScienceHub_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500917/PCB%20data%20for%20ScienceHub_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2018.10.195"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in ORD-023413: Frequent Modulation of the Sterol Regulatory Element Binding Protein (SREBP) by Chemical Exposure in the Livers of Rats ",
      "description": "Datasets used in ORD-023413: Frequent Modulation of the Sterol Regulatory Element Binding Protein (SREBP) by Chemical Exposure in the Livers of Rats. \n\nThis dataset is associated with the following publication:\nCorton, C. Frequent modulation of the sterol regulatory element binding protein (SREBP) by chemical exposure in the livers of rats.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 10: 113-129, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407626",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "sterol regulatory element binding protein",
        "cholesterol synthesis",
        "fatty acid synthesis",
        "microarray",
        "fatty liver disease",
        "hepatic steatosis"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-1ns5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407626/Data%20submission%20for%20A-1ns5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1016/j.comtox.2019.01.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for 3D Organoid Model Assessment of Influence of Chemicals on Morphogenetic Fusion.",
      "description": "Organogenesis in the embryo involves cell differentiation and organization events that are unique to each tissue and organ and are susceptible to developmental toxicants. Animal models are the gold standard for identifying putative teratogens, but the limited throughput of developmental toxicological studies in animals coupled with the limited concordance between animal and human teratogenicity motivates a different approach. In vitro organoid models can mimic the cellular architecture and phenotype of many tissues and organs, and the three-dimensional (3D) architecture of organoids presents an opportunity to study developmental human toxicology. Common themes during development like the involvement of epithelial-mesenchymal transition and tissue fusion present an opportunity to develop in vitro models to study cell and tissue morphogenesis. We previously described organoids composed of human stem and progenitor cells that recapitulated the cellular features of palate fusion, and here we further characterized the model by examining pharmacological inhibitors targeting known palatogenesis and epithelial morphogenesis pathways as well as twelve cleft palate teratogens identified from rodent models. Organoid survival was dependent on signaling through EGF, IGF, HGF, and FGF pathways, and organoid fusion was disrupted by inhibition of BMP signaling. We observed concordance between the effects of EGF, FGF, and BMP inhibitors on organoid fusion and epithelial cell migration in vitro, suggesting that organoid fusion is dependent on epithelial morphogenesis. Three of the twelve putative cleft palate teratogens studied here significantly disrupted in vitro fusion, including theophylline, triamcinolone, and valproic acid. Tributyltin chloride and all-trans retinoic acid (ATRA) were cytotoxic to fusing organoids.  The study herein demonstrates the utility of the in vitro fusion assay for identifying chemicals that disrupt human organoid survival and morphogenesis in a scalable format amenable to toxicology screening. \n\nThis dataset is associated with the following publication:\nBelair, D., C. Wolf, S. Moorefield, C. Wood, C. Becker, and B. Abbott. A Three-Dimensional Organoid Culture Model to Assess the Influence of Chemicals on Morphogenetic Fusion..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,   394-408, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1432529",
      "keyword": [
        "mesenchymal cells",
        "tissue engineering",
        "extracellular matrix",
        "teratogens",
        "pharmacological inhibitors",
        "Morphogenetic fusion",
        "palate fusion",
        "stromal cells",
        "epithelial cells",
        "cell spheroids",
        "osteogenesis"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Belair et al 2018 Main Text & Suppl Figures Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432529/Belair%20et%20al%202018%20Main%20Text%20%26%20Suppl%20Figures%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-10",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy207"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Summertime organic carbon absorption and sources at a southeastern U.S. location - dominance of secondary organic aerosol",
      "description": "The data tables in this file were used to generate the figures in the manuscript, \"Summertime organic carbon absorption and sources at a southeastern U.S. location - dominance of secondary organic aerosol\". Light-absorbing organic carbon, i.e. brown carbon, has been intensively investigated in atmospheres impacted by biomass burning impacted atmospheres. However, other brown carbon sources have been rarely studied in ambient aerosols. This data set includes forty-five PM2.5 filter samples that were collected in Research Triangle Park (RTP), NC, USA from June 1st to July 15th, 2013. The bulk carbonaceous components, including organic carbon, elemental carbon, water soluble organic carbon, and an array of organic molecular markers were measured; an ultraviolet (UV)/visible  (Vis) spectrometer was used to measure the light absorption of methanol and water extractable organic carbon. A complete description of how the data was acquired and and analyzed is provided in the manuscript.  A description of each parameter presented is provided in the file in the Data Dictionary. \n\nThis dataset is associated with the following publication:\nXie, M., X. Chen, A. Holder, M. Hays, M. Lewandowski, J. Offenberg, T. Kleindienst, and M. Jaoui. Summertime organic carbon absorption and sources at a southeastern U.S. location – dominance of secondary organic aerosol.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 244: 38-46, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1424737",
      "keyword": [
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "SOAS Light absorption Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424737/SOAS%20Light%20absorption%20Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-08",
      "references": [
        "https://doi.org/10.1016/j.envpol.2018.09.125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Investigating the role of distributed energy in the industrial and commercial sectors in the U.S. to attain greenhouse gas reductions goals ",
      "description": "The dataset presents the metadata going into Figures presented in the manuscript. \n\nThis dataset is associated with the following publication:\nKaplan, O., and J. Witt. What is the role of distributed energy resources under scenarios of greenhouse gas reductions? A specific focus on combined heat and power systems in the industrial and commercial sectors.   Applied Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 235: 83-94, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500446",
      "keyword": [
        "energy modeling",
        "industrial sector",
        "chp",
        "greenhouse gases",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "KaplanWitt_the role of distributed energy in industrial and commercial sectors_dataset 06JUNE2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500446/KaplanWitt_the%20role%20of%20distributed%20energy%20in%20industrial%20and%20commercial%20sectors_dataset%2006JUNE2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-15",
      "references": [
        "https://doi.org/10.1016/j.apenergy.2018.10.125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scenario Output Table",
      "description": "Output from three different scenarios generated using stormwater management planning support software to reduce occurrence of combined sewer overflow events through the use of green infrastructure. \n\nThis dataset is associated with the following publication:\nFu, X., H. Goddard, X. Wang, and M. Hopton. Development of a scenario-based stormwater management planning support system for reducing combined sewer overflows (CSOs).   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 236: 571-580, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502523",
      "keyword": [
        "Green Infrastructure",
        "scenario planning",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Output of the paper SWPSS-CSO to STICS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502523/Output%20of%20the%20paper%20SWPSS-CSO%20to%20STICS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-06",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.12.089"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Measures of abdominal obesity, metabolic dysfunction, and metabolic syndrome in United States adolescents: exploratory analysis using the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data ",
      "description": "NHANES data from the 2011-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. \n\nThis dataset is associated with the following publication:\nGaston, S., N. Tulve, and T. Ferguson. Abdominal obesity, metabolic dysfunction, and metabolic syndrome in U.S. adolescents: National Health and Nutrition Examination Survey 2011–2016.   ANNALS OF EPIDEMIOLOGY. Elsevier Science Ltd, New York, NY, USA, 30: 30-36, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407701",
      "keyword": [
        "adolescents",
        "NHANES",
        "metabolic syndrome"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Measures of abdominal obesity metabolic dysfunction and metabolic syndrome in United States adolescents- exploratory analysis using the National Health and Nutrition Examination Survey 2011-2014 data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407701/Data%20for%20Measures%20of%20abdominal%20obesity%20metabolic%20dysfunction%20and%20metabolic%20syndrome%20in%20United%20States%20adolescents-%20exploratory%20analysis%20using%20the%20National%20Health%20and%20Nutrition%20Examination%20Survey%202011-2014%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1016/j.annepidem.2018.11.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407701/documents/Data%20dictionary_NHANES_11_14_SAD_vs_WC.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Wetland Figures/Tables Dataset",
      "description": "Data sets for all figures and tables in the manuscript. \n\nThis dataset is associated with the following publication:\nMcMinn, B., S. Klemm, A. Korajkic, K. Wyatt, M. Herrmann, R. Haugland, J. Lu, E. Villegas, and C. Frye. A constructed wetland for treatment of an impacted waterway and the influence of native waterfowl on its perceived effectiveness..   ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 128: 48-56, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502595",
      "keyword": [
        "wetland",
        "Microbial Source Tracking",
        "fecal indicator"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502595/ScienceHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-26",
      "references": [
        "https://doi.org/10.1016/j.ecoleng.2018.11.026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Method Comparison Manuscript",
      "description": "Coliphage are alternative fecal indicators that may be suitable surrogates for viral pathogens, but a majority of standard detection methods utilize insufficient sample volumes (1-100 mL) for routine detection in environmental waters. Here we compare three somatic and F+ coliphage enumeration methods based on a paired measurement from 1L samples collected from the Great Lakes region (n=74). Methods include: 1) a dead-end hollow fiber ultrafilter combined with single agar layer plaque assay (D-HFUF-SAL); 2) a modified SAL (M-SAL); and 3) a direct membrane filtration (DMF) technique. Overall, D-HFUF-SAL outperformed all other methods as it yielded the lowest frequency of non-detects [(ND); 10.8%] and the highest average coliphage concentrations (2.51 ± 1.02 log10 plaque forming unit/liter (PFU/L) and 0.79 ± 0.71 log10 PFU/L for somatic and F+, respectively). M-SAL yielded 29.7% ND and average concentrations of 2.26 ± 1.15 log10 PFU/L (somatic) and 0.59 ± 0.82 log10 PFU/L (F+). DMF performed worse compared to D-HFUF-SAL and M-SAL methods (ND of 65.6%; average somatic coliphage concentration 1.52 ± 1.32 log10 PFU/L, with no F+ detected), indicating this procedure is unsuitable for 1L surface water sample volumes. This study represents an important step toward the use of a coliphage method for recreational water quality criteria purposes. \n\nThis dataset is associated with the following publication:\nMcMinn, B., E. Rhodes, E. Huff, P. Wanjugi, M. Ware, S. Nappier, M. Cyterski, O. Shanks, K. Oshima, and A. Korajkic. Comparison of somatic and F+ coliphage enumeration methods with large volume surface water samples.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 261: 63-66, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1434005",
      "keyword": [
        "coliphage",
        "culture-based methods",
        "method comparison"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434005/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-23",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2018.08.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Florida cattle decay study",
      "description": "Fecal contamination of recreational waters with cattle manure can pose a risk to public health due to the potential presence of various zoonotic pathogens. Fecal indicator bacteria (FIB) have a long history of use in the assessment. However, FIB quantification provides no information about pollution sources. Microbial source tracking (MST) genetic markers have been developed in response to a need to identify pollution sources, yet factors that influence host-identifier target decay once discharged into the environment are often poorly understood, especially for agriculture fecal waste sources. Here, we investigate the influence of water type (freshwater versus marine) and select environmental parameters (indigenous microbiota, ambient sunlight) on the decay of FIB and MST genetic markers originating from cattle manure. Experiments were conducted in situ using a submersible aquatic mesocosm containing dialysis bags filled with a mixture of cattle manure and ambient water. Culturable FIB (E. coli and enterococci) were enumerated by membrane filtration and the concentration of general fecal indicator bacteria (GenBac3, Entero1a, and EC23S857) and MST (Rum2Bac, CowM2, and CowM3) genetic markers were estimated by qPCR. Water type was the most significant factor influencing the decay of cattle manure indicator bacteria (three-way ANOVA, p: 0.006 to < 0.001), although the magnitude of the effect differed among microbial targets and over time. The presence of indigenous microbiota and exposure to sunlight were both significantly correlated (three-way ANOVA, p: 0.044 to < 0.001) with decay of enterococci and CowM2, while E. coli, EC23S857, Rum2Bac, and CowM3 (three-way ANOVA, p: 0.044 <0.001) were significantly impacted by either sunlight or indigenous microbiota. Findings indicate the extended persistence (>144 hours) of both cultivated FIB and genetic markers in marine and freshwater water types. Findings suggest that multiple environmental stressors are important determinants of FIB and MST marker persistence, but their magnitude can vary across different indicators. Selective exclusion of natural aquatic microbiota and/or sunlight typically resulted in extended survival, but the effect was minor and limited to select microbial targets. \n\nThis dataset is associated with the following publication:\nKorajkic, A., B. McMinn, N. Ashbolt, M. Sivaganesan, V. Harwood, and O. Shanks. Extended persistence of general and cattle-associated fecal indicators in marine and freshwater environment.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 650(1): 1292-1302, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502486",
      "keyword": [
        "decay",
        "fecal indicator bacteria",
        "microbial source tracking markers",
        "pathogens",
        "biotic factors",
        "abiotic factors"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "FL cattle decay data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502486/FL%20cattle%20decay%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-17",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.09.108"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FIB concentrations, rate of release from manure, FIB transport, daily flow, non-point source",
      "description": "FIB concentrations, rate of release from manure, FIB transport, daily flow, non-point source. \n\nThis dataset is associated with the following publication:\nKim, K., G. Whelan, M. Molina, R. Parmar, K. Wolfe, M. Galvin, P. Duda, R. Zepp, J. Kinzelman, G. Kleinheinz, and M. Borchardt. Using Integrated Environmental Modeling to Assess Sources of Microbial Contamination in Mixed-Use Watersheds.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 47(5): 1103-1114, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1433315",
      "keyword": [
        "Integrated environmental modeling",
        "manure",
        "pathogens",
        "QMRA",
        "Risk Assessment",
        "source apportionment",
        "watershed modeling"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "RDB_files_062017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433315/RDB_files_062017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Calibration Files_061617.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433315/Calibration%20Files_061617.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-17",
      "references": [
        "https://doi.org/10.2134/jeq2018.02.0071"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phage Data",
      "description": "Phage Data. \n\nThis dataset is associated with the following publication:\nZepp, R., M. Cyterski, K. Wong , O. Georgacopoulos, B. Acrey, G. Whelan, R. Parmar, and M. Molina. Biological Weighting Functions for Evaluating the Role of Sunlight-Induced Inactivation of Coliphages at Selected Beaches and Nearby Tributaries.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(22): 13068-13076, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1433318",
      "keyword": [
        "drinking water",
        "Great Lakes",
        "microbial fate and transport",
        "recreational waters"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Action_Spectra data .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433318/Action_Spectra%20data%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-04",
      "references": [
        "https://doi.org/10.1021/acs.est.8b02191"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Watford_Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer",
      "description": "We present a novel use of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene associations with biological concepts as represented by Medical Subject Headings (MeSH terms) in PubMed. \n\nThis dataset is associated with the following publication:\nWatford, S., R. Grashow, V. De La Rosa, R. Rudel, K. Paul-Friedman, and M. Martin. Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: Use case in breast carcinogenesis.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 7: 46-57, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502465",
      "keyword": [
        "Biomedical Literature",
        "Data Integration",
        "genes",
        "Breast Carcinogenesis",
        "Chemical Exposures",
        "Literature Mining",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Watford/Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Watford/Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.6635564",
          "accessURL": "https://doi.org/10.23645/epacomptox.6635564",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-HTTr-EMCON",
          "accessURL": "https://github.com/USEPA/CompTox-HTTr-EMCON",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-15",
      "references": [
        "https://doi.org/10.1016/j.comtox.2018.06.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CatronTara_A-brvd_MB2Dataset_20180221",
      "description": "This file contains data used to generate figures shown in Catron et al. Characterization of host toxicity and microbiota disruption in larval zebrafish following developmental exposure to BPA and BPA alternatives. \n\nThis dataset is associated with the following publication:\nCatron, T., S. Keely, N. Brinkman, T. Zurlinden, C. Wood, J. Wright, D. Phelps, E. Wheaton, A. Kvasnicka, S. Gaballah, R. Lamendella, and T. Tal. Host Developmental Toxicity of BPA and BPA Alternatives Is Inversely Related to Microbiota Disruption in Zebrafish.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  167(2): 468-483, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1417030",
      "keyword": [
        "Bisphenol A (BPA)",
        "zebrafish",
        "microbiome",
        "Developmental Toxicity"
      ],
      "contactPoint": {
        "fn": "Tara Catron",
        "hasEmail": "mailto:catron.tara@epa.gov"
      },
      "distribution": [
        {
          "title": "CatronTara_A-brvd_MB2Dataset_201801005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1417030/CatronTara_A-brvd_MB2Dataset_201801005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-21",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy261"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emergy accounting of Greater Cincinnati water and wastewater systems",
      "description": "All the data used to generate figures and tables, the background data such as unit emergy value library are in the dataset. \n\nThis dataset is associated with the following publication:\nArden, S., C. Ma, and M. Brown. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (2) Resource Use Profiles by Emergy Accounting Approach - journal needs to be Water Research X.   Water Research X. Elsevier B.V., Amsterdam,  NETHERLANDS, 2: 100012, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1417304",
      "keyword": [
        "Emergy",
        "Integrated Urban Water Management",
        "sustainability",
        "system analysis",
        "Resource Efficiency"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "Arden et al., 2017 Tables Figures and SI (9.21.17) - old UEVs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1417304/Arden%20et%20al.%2C%202017%20Tables%20Figures%20and%20SI%20%289.21.17%29%20-%20old%20UEVs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-07",
      "references": [
        "https://doi.org/10.1016/j.wroa.2018.100012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transport of Nanohybrids Dataset",
      "description": "Characterization of nanohybrids using TEM, XPS, zeta potential measurement, UV-Vis spectrometry. Modeling results of nanohybrids transport. \n\nThis dataset is associated with the following publication:\nWang, D., Y. Jin, C. Park, J. Heo, X. Bai, N. Aich, and C. Su. Modeling the Transport of the \"New Horizon\" Reduced Graphene Oxide—Metal Oxide Nanohybrids in Water-Saturated Porous Media.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52: 4610-4622, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500938",
      "keyword": [
        "Column transport test",
        "reduced graphene oxide (RGO)-magnetite (Fe3O4)",
        "RGO-titanium dioxide (TiO2)",
        "and RGO-zinc oxide (ZnO) nanohybrids"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Wang Su EST Paper_2018.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500938/Data_Wang%20Su%20EST%20Paper_2018.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-12",
      "references": [
        "https://doi.org/10.1021/acs.est.7b06488"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Abiotic hydroxylamine nitrification involving manganese- and iron-bearing minerals. ",
      "description": "Data used in the figures and tables presented in the manuscript. \n\nThis dataset is associated with the following publication:\nRue, K., K. Rusevova, C. Biles, and S. Huling. Abiotic hydroxylamine nitrification involving manganese- and iron-bearing minerals.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, issue}: 567-575, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1432363",
      "keyword": [
        "Hydroxylamine",
        "Abiotic nitrification",
        "manganese",
        "iron",
        "nitrous oxide"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Abiotic Hydroxylamine Nitrification_Huling_Results_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432363/Abiotic%20Hydroxylamine%20Nitrification_Huling_Results_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.06.397"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1432363/documents/Data%20Dictionary%20for%20SDMP_Abiotic%20Hydroxylamine%20Nitrification.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CIMEK water chemistry",
      "description": "Water chemistry data from 60 sites in a partially mined eastern Kentucky watershed.  Sites are spatially located from headwater tributaries to mouth for analysis of cumulative downstream impacts. \n\nThis dataset is associated with the following publication:\nJohnson, B., E. Smith, J. Ackerman, S. Dye, R. Polinsky, E. Somerville, C. Decker, D. Little, G. Pond, and E. DAmico. Spatial Convergence in Major Dissolved Ion Concentrations and Implications of Headwater Mining for Downstream Water Quality.   JAWRA. American Water Resources Association, Middleburg, VA, USA, 55(1): 247-258, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407636",
      "keyword": [
        "chemistry",
        "mining",
        "network",
        "solute",
        "stream",
        "valley fill",
        "Watershed",
        "water chemistry"
      ],
      "contactPoint": {
        "fn": "Brent Johnson",
        "hasEmail": "mailto:johnson.brent@epa.gov"
      },
      "distribution": [
        {
          "title": "Water Chem analyses.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407636/Water%20Chem%20analyses.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Collated Water Chemistry All dates.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407636/Collated%20Water%20Chemistry%20All%20dates.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-18",
      "references": [
        "https://doi.org/10.1111/1752-1688.12725"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-Targeted Analysis of ENTACT Mixtures",
      "description": "Results from a non-targeted analysis of synthetic chemical mixtures. \n\nThis dataset is associated with the following publication:\nSobus, J., J. Grossman, A. Chao, R. Singh, A. Williams, C. Grulke, A. Richard, S. Newton, A. McEachran, and E. Ulrich. Using Prepared Mixtures of ToxCast Chemicals to Evaluate Non-Targeted Analysis (NTA) Method Performance..   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 411(4): 835-851, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500907",
      "keyword": [
        "entact",
        "exposome",
        "mass spectrometry",
        "non-targeted analysis",
        "ToxCast"
      ],
      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental_Manuscript_Tables_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500907/Supplemental_Manuscript_Tables_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-17",
      "references": [
        "https://doi.org/10.1007/s00216-018-1526-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical composition of isoprene SOA under acidic and non-acidic conditions: Effect of relative humidity",
      "description": "The effect of acidity and relative humidity on bulk isoprene aerosol parameters has been investigated in several studies, however few measurements have been conducted on individual aerosol compounds. The focus of this study has been the examination of the effect of acidity and relative humidity on secondary organic aerosol (SOA) chemical composition from isoprene photooxidation in the presence of nitrogen oxide (NOx). A detailed characterization of SOA at the molecular level was also investigated. Experiments were conducted in a 14.5 m3 smog chamber operated in flow mode. Based on a detailed analysis of mass spectra obtained from gas chromatography-mass spectrometry of silylated derivatives in electron impact and chemical ionization modes, and ultra-high performance liquid chromatography/electrospray ionization/time-of-flight high resolution mass spectrometry, and collision-induced dissociation in the negative ionization modes, we characterized not only typical isoprene products, but also new oxygenated compounds. A series of nitroxy-organosulfates (OS) were tentatively identified on the basis of high resolution mass spectra. Under acidic conditions, the major identified compounds include 2-methyltetrols (2MT), 2-methylglyceric acid (2MGA) and 2MT-OS. Other products identified include epoxydiols, mono- and dicarboxylic acids, other organic sulfates, and nitroxy- and nitrosoxy-OS. The contribution of SOA products from isoprene oxidation to PM2.5 was investigated by analysing ambient aerosol collected at rural sites in Poland. Methyltetrols, 2MGA and several organosulfates and nitroxy-OS were detected in both the field and laboratory samples. The influence of relative humidity on SOA formation was modest in non-acidic seed experiments, and stronger under acidic seed aerosol. Total secondary organic carbon decreased with increasing relative humidity under both acidic and non-acidic conditions. While the yields of some of the specific organic compounds decreased with increasing relative humidity others varied in an indeterminate manner from changes in the relative humidity. \n\nThis dataset is associated with the following publication:\nNestorowicz, K., M. Jaoui, K. Rudzinski, M. Lewandowski, T. Kleindienst, G. Spolnik, W. Danikiewicz, and R. Szmigielski. Chemical Composition of Isoprene SOA Under Acidic and Non-Acidic Conditions: Effect of Relative Humidity.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(4): 18101-18121, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1423026",
      "keyword": [
        "isoprene",
        "organosulfate",
        "GC-MS",
        "LC-MS",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Nestorowicz et al Fig 1-2-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423026/Nestorowicz%20et%20al%20Fig%201-2-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-03",
      "references": [
        "https://doi.org/10.5194/acp-18-18101-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"The impact of U.S. wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008-2012\"",
      "description": "This dataset contains the underlying data for the evaluation of a 5 year CMAQ simulation with and without fires. The pollutant evaluated in the journal article is PM2.5.  Daily Average concentrations of PM2.5 from two 5 year CMAQ simulations are included.  Area burned on a daily basis is also included. Finally model and observed paired CSV files of PM2.5 are included for the 5 year simulation from the IMPROVE and CSN networks. Datasets are in several formats including netCDF (tar and zipped), csv (tar and zipped), and Excel. \n\nThis dataset is associated with the following publication:\nWilkins, J., G. Pouliot, K. Foley, W. Appel, and T. Pierce. The impact of US wildland fires on ozone and particulate matter: a comparison of measurements and CMAQ model predictions from 2008 to 2012.   International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 27(10): 684-698, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500891",
      "keyword": [
        "CSN",
        "IMPROVE",
        "emissions",
        "CMAQ",
        "Wildland Fire",
        "biomass burning",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkins_A-nckf_Dataset_figures6-7.20181107.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures6-7.20181107.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figures1-2-3.2008.20181107.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures1-2-3.2008.20181107.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figures1-2-3.2009.20181107.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures1-2-3.2009.20181107.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figures1-2-3.2010.20181107.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures1-2-3.2010.20181107.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figures1-2-3.2012.20181107.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures1-2-3.2012.20181107.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figures1-2-3.2011.20190131.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figures1-2-3.2011.20190131.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_figure4.20190131.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_figure4.20190131.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wilkins_A-nckf_Dataset_metadata_20190131.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500891/Wilkins_A-nckf_Dataset_metadata_20190131.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-07",
      "references": [
        "https://doi.org/10.1071/wf18053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data for seed germination study with biochar and 8 plant species.",
      "description": "Biochar is being evaluated as an amendment to improve soil characteristics to increase crop yields, revitalize degraded soils and facilitate the establishment of plant cover. Unfortunately, there are few rapid tests to determine potential effects of biochar on soil and associated plant responses. Seed germination (emergence of hypocotyl) is a critical parameter for plant establishment and may be a rapid indicator of biochar effects. We adapted Oregon State University Seed Laboratory procedures to develop a “rapid-test” to screen for effects of biochar on seed germination and soil characteristics. Soils were amended with 1% biochar by weight and placed in 11.0 cm square x 3.5 cm deep containers fitted with premoistened blotter paper. Seeds were placed in a uniform 5 x 5 pattern and covered with 15 g of the soil-biochar mixtures. Two South Carolina Coastal Plain soils, the Norfolk (Fine-loamy, kaolinitic, thermic Typic Kandiudults) and Coxville (Fine, kaolinitic, thermic Typic Paleaquults), were used. Eighteen biochars were evaluated produced from 6 feedstocks [pine chips (PC), poultry litter (PL), swine solids (SS), switchgrass (SG); and two blends of PC and PL, 50% PC/50% PL (55), and 80% PC/20% PL (82).  For each feedstock biochars were made by pyrolysis at 350, 500 and 700°C for 1-2 hours.  Percent germination and shoot dry weight were evaluated for cabbage, carrot, cucumber, lettuce, oat, onion, perennial ryegrass and tomato. Soil pH, electrical conductivity (EC) and extractable phosphorus (EP), factors which can affect seed germination and early seedling growth, were determined after plant harvests.  Germination primarily was affected by soil type with few biochar effects. Shoot dry weight was increased for carrot, lettuce, oat and tomato; primarily with biochars containing PL. Soil pH and EC increased with PL, SS, 55 and most 82 treatments across soil types and plant species.  Soil EP increased substantially with SS and PL and to a lesser extent with 55 and 82 for both soils across species, and with SG pyrolyzed at 550 and 750°C soil for the Norfolk soil across species.  Thus, this rapid-test method can be an early indicator of the effects of biochar on seed germination and important soil health characteristics which can be affected by biochar and effect seed germination. \n\nThis dataset is associated with the following publication:\nOlszyk, D.M., T. Shiroyama, J.M. Novak, and M.G. Johnson. A Rapid-Test for Screening Biochar Effects on Seed Germination.   Communications in Soil Science and Plant Analysis. Taylor & Francis Group, London,  UK, 49(16): 2025-2041, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1411437",
      "keyword": [
        "feedstock",
        "temperature",
        "crop",
        "biochar",
        "soil",
        "plants",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Biochar Germination Study Biochar pH EC P.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411437/Biochar%20Germination%20Study%20Biochar%20pH%20EC%20P.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biochar Germ All Species For SH 053118.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411437/Biochar%20Germ%20All%20Species%20For%20SH%20053118.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-06",
      "references": [
        "https://doi.org/10.1080/00103624.2018.1495726"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Legionella-biofilm dataset",
      "description": "Water quality measurements, disinfectant decay during experiments, raw data, qPCR data. \n\nThis dataset is associated with the following publication:\nBuse, H., J. Szabo, B. Morris, and I. Struewing. Chlorine and monochloramine disinfection of Legionella pneumophila colonizing copper and PVC drinking water biofilms.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA,  1-33, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502624",
      "keyword": [
        "drinking water",
        "disinfection",
        "legionella",
        "Copper",
        "PVC",
        "biofilms",
        "Chlorine",
        "monochloramine"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse_LegionellaBiofilm Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502624/Buse_LegionellaBiofilm%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-07",
      "references": [
        "https://doi.org/10.1128/aem.02956-18"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Yaquina Bay Clam Habitat Suitability Index (HSI) Model Output",
      "description": "Using existing habitat datasets and natural-history traits, we created a Habitat Suitability Index (HSI) model in ArcGIS to determine the distribution of suitable habitat for harvested clams in Yaquina Bay.  Existing habitat datasets were used to interpolate value estimates throughout the bay for the four input habitat variables used in the model (sediment % fines, bathymetry, salinity, and burrowing shrimp presence).  Natural history traits (derived from literature) were then used to assign binary suitability values to each habitat variable for each species.  The suitability sum of these variable layers then produced an overall HSI value of 0-4 (low-high).  To validate this model, we used existing bivalve (presence/absence) data to calculate presence probabilities.  Included in this dataset are these bivalve data, along with the habitat estimates and suitability values produced by our model. \n\nThis dataset is associated with the following publication:\nLewis, N., E. Fox, and T. DeWitt. Estimating the distribution of harvested estuarine bivalves with natural-history-based habitat suitability models...   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 219: 453-472, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407679",
      "keyword": [
        "harvest",
        "bathymetry",
        "salinity",
        "sediment",
        "shrimp",
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "HSI_YB_BayClams.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407679/HSI_YB_BayClams.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-24",
      "references": [
        "https://doi.org/10.1016/j.ecss.2019.02.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tillamook Bay Clam Habitat Suitability Index (HSI) Model Output",
      "description": "Using existing habitat datasets and natural-history traits, we created a Habitat Suitability Index (HSI) model in ArcGIS to determine the distribution of suitable habitat for harvested clams in Tillamook Bay.  Existing habitat datasets were used to interpolate value estimates throughout the bay for the four input habitat variables used in the model (sediment % fines, bathymetry, salinity, and burrowing shrimp presence).  Natural history traits (derived from literature) were then used to assign binary suitability values to each habitat variable for each species.  The suitability sum of these variable layers then produced an overall HSI value of 0-4 (low-high).  To validate this model, we used existing bivalve (presence/absence) data to calculate presence probabilities.  Included in this dataset are these bivalve data, along with the habitat estimates and suitability values produced by our model. \n\nThis dataset is associated with the following publication:\nLewis, N., E. Fox, and T. DeWitt. Estimating the distribution of harvested estuarine bivalves with natural-history-based habitat suitability models...   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 219: 453-472, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407680",
      "keyword": [
        "harvest",
        "bathymetry",
        "salinity",
        "sediment",
        "shrimp",
        "green macroalgae",
        "ulva spp.",
        "ecosystem services",
        "behavior",
        "burial",
        "eutrophication",
        "nutrient enrichment",
        "cockle",
        "gull",
        "Oregon"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "HSI_TB_BayClams.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407680/HSI_TB_BayClams.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-24",
      "references": [
        "https://doi.org/10.1016/j.ecss.2019.02.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of carbon isotopic ratios in nontargeted analysis to screen for anthropogenic compounds in complex environmental matrices",
      "description": "Carbon stable isotopic ratios. \n\nThis dataset is associated with the following publication:\nWashington, J., C. Rosal, E. Ulrich, and T. Jenkins. Use of carbon isotopic ratios in nontargeted analysis to screen for anthropogenic compounds in complex environmental matrices.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1583: 73-79, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503074",
      "keyword": [
        "nontargeted analysis",
        "isotopic ratios",
        "anthropogenic compounds",
        "complex environmental samples"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "170922 New Stable Isotopes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503074/170922%20New%20Stable%20Isotopes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1016/j.chroma.2018.11.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw benthic macroinvertebrate enumeration data for ms concerning methods of taxonomic postprocessing",
      "description": "This file has a listing of benthic macroinvertebrate taxa found in samples collected from coastal waters of Isle Royale and Chequamegon Bay (both in Lake Superior) in 2012 and 2013 respectively, \n\nThis dataset is associated with the following publication:\nMeredith, C., A. Trebitz, and J. Hoffman. Post-processing of aquatic biodiversity data collected at multiple levels of resolution:  Implications for estimates of taxa richness, abundance, and rarefaction curves.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  98: 137-148, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1394626",
      "keyword": [
        "Great Lakes",
        "Aquatic invasive species",
        "aquatic macroinvertebrates",
        "taxonomy"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "AmbiTaxa2017pub_ScienceHub_rawdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394626/AmbiTaxa2017pub_ScienceHub_rawdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2018.10.047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and ground based ambient data",
      "description": "Data sets used in the analysis presented in the manuscript “Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data”.  The datasets used for the analysis include data from routine monitor networks located in the central U.S., satellite fire detection data, and burn area estimates. The data supporting each of the Figures in the manuscript are provided in a file specific for that Figure, so there is one file for each Figure. Each file is in comma-separated value (csv) format and contains observation data used to generate that Figure. Meta data on what is included in each file is provided in the Data Dictionary. \n\nThis dataset is associated with the following publication:\nBaker, K., S. Koplitz, K. Foley, L. Avey, and A. Hawkins. Characterizing grassland fire activity in the Flint Hills region and air quality using satellite and routine surface monitor data.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 659: 1555-1566, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503325",
      "keyword": [
        "emissions",
        "CMAQ",
        "Wildland Fire",
        "biomass burning",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "Baker_A-nckf_datasets_Figures1_to_8_v3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503325/Baker_A-nckf_datasets_Figures1_to_8_v3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-30",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.12.427"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503325/documents/Baker_Data_Dictionary_v3.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Meteorological input data for Cai et al. manuscript \"Development of a Semi-mechanistic allergenic pollen emission model.\"",
      "description": "This dataset consists of output from the Meteorology-Chemistry Input Processor (MCIP), which is used to prepare meteorological data in the format needed for the Community Multiscale Air Quality (CMAQ) model. The Rutgers team has created a module that simulates emissions from two species of pollen using meteorological data in this format. \n\nThis dataset is associated with the following publication:\nCai, T., Y. Zhang, X. Ren, L. Bielory, Z. Mi, C. Nolte, Y. Gao, R. Leung, and P. Georgopoulos. Development of a semi-mechanistic allergenic pollen emission model.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 653: 947-957, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500009",
      "keyword": [
        "air quality",
        "CMAQ",
        "WRF",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500009/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.10.243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Outdoor air emissions, land use, and land cover around schools on U.S. tribal lands",
      "description": "Data gathered from 35 published references (until 2016) targeting built and natural environment stressors for American Indian/Alaska Native children. \n\nThis dataset is associated with the following publication:\nBarros, N., N. Tulve, K. Bailey, and D. Heggem. Outdoor Air Emissions, Land Use, and Land Cover around Schools on Tribal Lands.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(1): 36, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1429612",
      "keyword": [
        "children",
        "school",
        "American Indian/Alaska Native",
        "air pollution",
        "land use",
        "land cover"
      ],
      "contactPoint": {
        "fn": "Nirmalla Barros",
        "hasEmail": "mailto:barros.nilla@epa.gov"
      },
      "distribution": [
        {
          "title": "EPAAirQualitySystem_TribalSchoolsOutdoorAirPollutantAnnualSummaryMeasures 02282017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1429612/EPAAirQualitySystem_TribalSchoolsOutdoorAirPollutantAnnualSummaryMeasures%2002282017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.3390/ijerph16010036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1429612/documents/EPAAirQualitySystem_DataDictionary_AnnualSummaryFiles%2003262018.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Source Strength Functions from Long-Term Monitoring Data and Spatially Distributed Mass Discharge Measurements",
      "description": "Source strength functions (SSF), defined as contaminant mass discharge or flux-averaged concentration from dense nonaqueous phase liquid (DNAPL) source zones as a function of time, provide a quantitative model of DNAPL source-zone behavior.  Such information is useful for making site management decisions.  We investigate the use of historic data collected during long-term monitoring (LTM) activities at a site in Rhode Island to predict the SSF based on temporal mass discharge measurements at a fixed location, as well as SSF estimation using mass discharge measurements at a fixed time from three spatially distributed control planes.  Mass discharge based on LTM data decreased from ~300 g/day in 1996 to ~70 g/day in 2012 at a control plane downgradient of the suspected DNAPL source zone, and indicates an overall decline of ~80% in 16 years.  These measurements were compared to current mass discharge measurements across three spatially distributed control planes.  Results indicate that mass discharge increased in the downgradient direction, and was ~6 g/day, ~37 g/day, and ~400 g/day at near, intermediate, and far distances from the suspected source zone, respectively.  This behavior was expected given the decreasing trend observed in the LTM data at a fixed location.  These two data sets were compared using travel time as a means to plot the data sets on a common axis.  The similarity between the two data sets gives greater confidence to the use of this combined data set for site-specific SSF estimation relative to either the sole use of LTM or spatially distributed data sets. \n\nThis dataset is associated with the following publication:\nBrooks, M.C., A.L. Wood, J. Cho, C.A.P. Williams, B. Brandon, and M.D. Annable. Source strength functions from long-term monitoring data and spatially distributed mass discharge measurements.   JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 219: 28-39, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1432673",
      "keyword": [
        "mass flux",
        "mass discharge",
        "source strength function",
        "source zone characterization",
        "passive flux meters",
        "long-term monitoring data"
      ],
      "contactPoint": {
        "fn": "Michael Brooks",
        "hasEmail": "mailto:brooks.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "SDMF-Brooks-20180330.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432673/SDMF-Brooks-20180330.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-11",
      "references": [
        "https://doi.org/10.1016/j.jconhyd.2018.09.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Greenhouse gas emissions from lakes and reservoirs. MS in review.",
      "description": "Reported carbon dioxide, methane, and nitrous emission rates from lakes and reservoirs across the globe. \n\nThis dataset is associated with the following publication:\nDelSontro, T., J. Beaulieu, and J. Downing. Greenhouse gas emissions from lakes and impoundments: upscaling in the face of global change.   Limnology and Oceanography Letters. John Wiley & Sons, Inc., Hoboken, NJ, USA, 3(3): 64-75, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1392351",
      "keyword": [
        "Methane",
        "reservoirs",
        "lakes"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/s/c6a4133f3595b67a9816",
          "accessURL": "https://figshare.com/s/c6a4133f3595b67a9816",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-19",
      "references": [
        "https://doi.org/10.1002/lol2.10073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set Description for Hyperspectral Imagery",
      "description": "The data set description provides a detail account of the type of data that is used within the peer-reviewed literature. The data involves special instrumentation, such as hyperspectral imaging cameras to develop thousands of pixels, which form images, like on a television screen. Other data is used to develop absorbance spectra from infrared spectrometers and compared to reference data to confirm the presence of a desired, tested chemical. \n\nThis dataset is associated with the following publication:\nBaseley, D., L. Wunderlich, G. Phillips, K. Gross, G. Perram, S. Willison, M. Magnuson, S. Lee, R. Phillips, and W. Harper Jr.. Hyperspectral Analysis for Standoff Detection of Dimethyl Methylphosphonate on Building Materials  [HS7.52.01].   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  135-142, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390104",
      "keyword": [
        "pesticides",
        "hyperspectral imagery",
        "chemical detection",
        "large-area survey"
      ],
      "contactPoint": {
        "fn": "Stuart Willison",
        "hasEmail": "mailto:willison.stuart@epa.gov"
      },
      "distribution": [
        {
          "title": "Data set description_A-x3g5.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390104/Data%20set%20description_A-x3g5.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-02-26",
      "references": [
        "https://doi.org/10.1016/j.buildenv.2016.08.028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary material for Lee et al. 2019 Taxonomic harmonization may reveal a stronger association between diatom assemblages and total phosphorus in large datasets  ",
      "description": "Diatom data have been collected in large-scale biological assessments in the United States, such as the U.S. Environmental Protection Agency’s National Rivers and Streams Assessment (NRSA). However, the effectiveness of diatoms as indicators may suffer if inconsistent taxon identifications across different analysts obscure the relationships between assemblage composition and environmental variables. To reduce these inconsistencies, we harmonized the 2008–2009 NRSA data from nine analysts by updating names to current synonyms and by statistically identifying taxa with high analyst signal (taxa with more variation in relative abundance explained by the analyst factor, relative to environmental variables). We then screened a subset of samples with QA/QC data and combined taxa with mismatching identifications by the primary and secondary analysts. When these combined “slash groups” did not reduce analyst signal, we elevated taxa to the genus level or omitted taxa in difficult species complexes. We examined the variation explained by analyst in the original and revised datasets. Further, we examined how revising the datasets to reduce analyst signal can reduce inconsistency, thereby uncovering the variation in assemblage composition explained by total phosphorus (TP), an environmental variable of high priority for water managers. To produce a revised dataset with the greatest taxonomic consistency, we ultimately made 124 slash groups, omitted 7 taxa in the small naviculoid (e.g., Sellaphora atomoides) species complex, and elevated Nitzschia, Diploneis, and Tryblionella taxa to the genus level. Relative to the original dataset, the revised dataset had more overlap among samples grouped by analyst in ordination space, less variation explained by the analyst factor, and more than double the variation in assemblage composition explained by TP. Elevating all taxa to the genus level did not eliminate analyst signal completely, and analyst remained the most important predictor for the genera Sellaphora, Mayamaea, and Psammodictyon, indicating that these taxa present the greatest obstacle to consistent identification in this dataset. Although our process did not completely remove analyst signal, this work provides a method to minimize analyst signal and improve detection of diatom association with TP in large datasets involving multiple analysts. Examination of variation in assemblage data explained by analyst and taxonomic harmonization may be necessary steps for improving data quality and the utility of diatoms as indicators of environmental variables. \n\nThis dataset is associated with the following publication:\nLee, S., I. Bishop, S. Spaulding, R. Mitchell, and L. Yuan. Taxonomic harmonization may reveal a stronger association between diatom assemblages and total phosphorus in large datasets..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 102: 166-174, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503373",
      "keyword": [
        "taxonomic harmonization",
        "total phosphorus",
        "phosphorus",
        "NRSA",
        "National Rivers and Streams Assessment",
        "nutrients",
        "diatoms",
        "rivers and streams"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix B.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503373/Appendix%20B.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionaries_TO25_TD01.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503373/Data_Dictionaries_TO25_TD01.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S1470160X19300822#s0095",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S1470160X19300822#s0095",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_v4_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503373/README_v4_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-24",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2019.01.061",
        "https://pasteur.epa.gov/uploads/10.23719/1503373/documents/R%20code%20and%20functions.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Porewater Data in saltwater intrusion freshwater marsh carboon cycling MS",
      "description": "Soil pore water data (N and P chemistry data) from a field experiment examining salt water intrusion effects on freshwater tidal marshes, \n\nThis dataset is associated with the following publication:\nHerbert, E., J. Schubauer-Berigan, and C. Craft. Differential effects of chronic and acute simulated seawater intrusion on tidal freshwater marsh carbon cycling.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 138: 137-154, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1410808",
      "keyword": [
        "Salt water intrusion",
        "tidal marshes"
      ],
      "contactPoint": {
        "fn": "Joseph SchubauerBerigan",
        "hasEmail": "mailto:schubauer-berigan.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA Porewater Data in frehwater marsh carbon cycling MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410808/EPA%20Porewater%20Data%20in%20frehwater%20marsh%20carbon%20cycling%20MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-04",
      "references": [
        "https://doi.org/10.1007/s10533-018-0436-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in ORD-023408: A Gene Expression Biomarker Identifies Chemicals and Other Factors That Modulate Sterol Regulatory Element Binding Protein (SREBP) Highlighting Differences in Targeted Regulation of Cholesterogenic and Lipogenic Genes",
      "description": "Datasets used in ORD-023408: A Gene Expression Biomarker Identifies Chemicals and Other Factors That Modulate Sterol Regulatory Element Binding Protein (SREBP) Highlighting Differences in Targeted Regulation of Cholesterogenic and Lipogenic Genes. \n\nThis dataset is associated with the following publication:\nRooney, J., B. Chorley, and C. Corton. A gene expression biomarker identifies factors that modulate sterol regulatory element binding protein.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 10: 63-77, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407625",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "sterol regulatory element binding protein",
        "microarray",
        "steatosis",
        "fatty liver disease",
        "fatty acid synthesis",
        "cholesterol synthesis"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-w3rs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407625/Data%20submission%20for%20A-w3rs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1016/j.comtox.2018.12.007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Puerto Rico Soil Science paper",
      "description": "data required to set up SWAT model as well as SWAT model outputs for runoff and sediment. \n\nThis dataset is associated with the following publication:\nYuan, Y., W. Hu, and G. Li. Evaluation of Soil Erosion and Sediment Yield From Ridge Watersheds Leading to Guánica Bay, Puerto Rico, Using the Soil and Water Assessment Tool Model.   Soil Science. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 18(7): 315-325, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390100",
      "keyword": [
        "DEM",
        "soil",
        "Weather",
        "land use",
        "SWAT",
        "soil erosion",
        "sediment yield",
        "coffee farming",
        "Puerto Rico",
        "ridge watersheds",
        "sustainability"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Soil_Science_Paper_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390100/Soil_Science_Paper_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-05-09",
      "references": [
        "https://doi.org/10.1097/ss.0000000000000166",
        "https://pasteur.epa.gov/uploads/10.23719/1390100/documents/SS-15-184.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Drinking Water Relevant Water Chemistry Model for the Free Chlorine and Cyanuric Acid System from 5 to 35 °C",
      "description": "No data set is provided. This dataset is not publicly accessible because: All the data is contained in the manuscript and supplementary information. It can be accessed through the following means: All the data is contained in the manuscript and supplementary information. Format: All the data is contained in the manuscript and supplementary information. \n\nThis dataset is associated with the following publication:\nWahman, D., and M. Alexander. A Drinking Water Relevant Water Chemistry Model for the Free Chlorine and Cyanuric Acid System from 5 to 35 °C.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 283-294, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1419831",
      "keyword": [
        "cyanuric acid"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2018-02-09",
      "references": [
        "https://doi.org/10.1089/ees.2018.0387"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DriLube VOC Concentrations, Pressure & Vacuum Readings and Metadata",
      "description": "There are 3 main databases.  #1 is the VOC concentrations of soil gas and indoor air samples collected over the site.  #2 is the pressure readings used to monitor the pressure differential between subslab and indoor air.  #3 is the vacuum reading used to monitor effectiveness, strength, and reach of vacuum created during the SVE operation. \n\nThis dataset is associated with the following publication:\nSchumacher, B., J. Zimmerman, C. Lutes, R. Truesdale, and C.W. Holton. Key Design Elements of Building Pressure Cycling for Evaluating Vapor Intrusion—A Literature Review.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 39(1): 66-72, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502611",
      "keyword": [
        "volatile organic compounds",
        "PCE",
        "TCE",
        "remediation",
        "soil vapor extraction"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "SVE-VI_TO-03_VOC-Results_08-31-18.xlsx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502611/SVE-VI_TO-03_VOC-Results_08-31-18.xlsx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_TO-03_Vacuum_Readings_08-31-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502611/SVE-VI_TO-03_Vacuum_Readings_08-31-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_Datafiles_08-31-2018.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502611/SVE-VI_Datafiles_08-31-2018.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_TO-03_Pressure_Data_08-31-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502611/SVE-VI_TO-03_Pressure_Data_08-31-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-31",
      "references": [
        "https://doi.org/10.1111/gwmr.12310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The dataset is a table showing linear combination fitting results for arsenic and lead in three soils.",
      "description": "Table showing linear combination fitting data for arsenic and lead speciation in three soils. \n\nThis dataset is associated with the following publication:\nKastury, F., E. Smith, R.R. Karna, K.G. Scheckel, and A.L. Juhasz. Methodological factors influencing inhalation bioaccessibility of metal(loid)s in PM2.5 using simulated lung fluid.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 241: 930-937, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435032",
      "keyword": [
        "lead",
        "arsenic",
        "in vitro bioaccessibility",
        "metal bioavailability",
        "synchrotron speciation",
        "PM2.5 long-term exposure",
        "Lung toxicity"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 2 SciHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435032/Table%202%20SciHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-05",
      "references": [
        "https://doi.org/10.1016/j.envpol.2018.05.094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LCF datatables for Cd speciation distribution",
      "description": "Linear combination datatables showing the distribution of Cd speciation upon sorption to biochar. \n\nThis dataset is associated with the following publication:\nCuj, L., M. Noerpel, K. Scheckel, and J. Ippolito. Wheat straw biochar reduces environmental cadmium bioavailability.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 126: 69-75, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503168",
      "keyword": [
        "BCR method",
        "Biochar (BC)",
        "Cadmium",
        "Contaminated paddy soil",
        "X-ray Absorption Spectroscopy",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "LCF datatables for Cd speciation distribution.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503168/LCF%20datatables%20for%20Cd%20speciation%20distribution.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-15",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.02.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for organotypic stem cell model for human embryonic palatal fusion.",
      "description": "Cleft palate (CP) is a common birth defect, occurring in an estimated 1 in 1000 births worldwide. The secondary palate is formed by paired palatal shelves that grow toward each other, appose, attach and fuse. CP can result from disruption of any of these processes. The palatal shelves basically consist of a mesenchymal tissue core covered with a layer of epithelial cells. One of the mechanisms that can cause CP is failure of fusion, i.e., failure to remove the epithelial seam between the palatal shelves to allow the mesenchyme to merge and form a continuous palate. This process requires complex interactions between mesenchymal and epithelial cells, and signaling components such as growth factors. Epidermal growth factor (EGF) plays an important role in palate growth and differentiation, while it may impede fusion. We developed a 3D organotypic model using human mesenchymal and epithelial stem cells to mimic human embryonic palatal shelves, and tested its functional relevance by monitoring the effects of human EGF (hEGF) on proliferation and fusion. Spheroids were generated from human umbilical-derived mesenchymal stem cells (hMSCs) directed down an osteogenic lineage by culture medium and evaluated for osteogenic differentiation. Heterotypic spheroids, or organoids, were constructed by coating hMSC spheroids with MaxGel™ extracellular matrix solution followed by a layer of human progenitor epithelial keratinocytes (hPEK). Organoids were incubated in co-culture medium with or without hEGF and assessed for cell proliferation and spheroid pairs were assessed for time to fusion. Osteogenic differentiation in hMSC spheroids was highest by day 13. hEGF delayed fusion of heterotypic organoids after 12 and 18 hours of contact.  hEGF increased proliferation in organoids at 4 ng/ml, and proliferation was detected in hPEKs alone on microcarrier beads, suggesting a potential mechanism for delayed fusion by hEGF. Our results show that this model of human palatal fusion consisting of a core of differentiated hMSCs with a hPEK outer layer appropriately mimics the morphology of the developing human palate and responds to hEGF as expected. Future studies will focus on using the organoid model to evaluate the effects of teratogenic chemicals on palatal fusion, and validating the results. \n\nThis dataset is associated with the following publication:\nWolf, C., D. Belair, C. Becker, K. Das, J. Schmid, and B. Abbott. Development of an organotypic stem cell model for the study of human embryonic palatal fusion.   BIRTH DEFECTS RESEARCH PART B:  DEVELOPMENTAL AND REPRODUCTIVE TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  1322-1334, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1432766",
      "keyword": [
        "fusion",
        "stem cells",
        "cleft palate",
        "organotypic models",
        "Morphogenetic fusion",
        "palate fusion",
        "stromal cells",
        "epithelial cells",
        "cell spheroids",
        "osteogenesis"
      ],
      "contactPoint": {
        "fn": "Barbara Abbott",
        "hasEmail": "mailto:abbott.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Wolf et al 2018 Main Text & Suppl Figures Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432766/Wolf%20et%20al%202018%20Main%20Text%20%26%20Suppl%20Figures%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-13",
      "references": [
        "https://doi.org/10.1002/bdr2.1394"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Coarse Particulate Organic Matter Connectivity",
      "description": "Datasets include rain, stream discharge, flow duration in ephemeral tributaries, coarse particulate organic matter (leaves and wood) deposition and surrogate (Ginkgo leaves and dowel rods) export in a Central Appalachian catchment in eastern Kentucky, USA. \n\nThis dataset is associated with the following publication:\nFritz, K., G. Pond, B. Johnson, and C. Barton. Coarse particulate organic matter dynamics in ephemeral tributaries of a Central Appalachian stream network.   Ecosphere. ESA Journals,    10(3): e02654, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/10002",
      "keyword": [
        "ephemeral tributary",
        "connectivity",
        "leaf litter",
        "Wood",
        "transport",
        "storage",
        "deposition",
        "seasonality",
        "lag function"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "CPOM_deposition.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/CPOM_deposition.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "historic_rain.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/historic_rain.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPOM_export.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/CPOM_export.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "flowduration.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/flowduration.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "networkleaf_deposited.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/networkleaf_deposited.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "networkleaf_export.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/networkleaf_export.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dailyrain_ephemeralstate.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/dailyrain_ephemeralstate.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dailyrain_discharge.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10002/dailyrain_discharge.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-04",
      "references": [
        "https://doi.org/10.1002/ecs2.2654",
        "https://pasteur.epa.gov/uploads/10.23719/10002/documents/ecs22654-sup-0001-appendixs1.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/10002/documents/Fritz_et_al-2019-Ecosphere.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/10002/documents/EphemeralTributary_datadictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "README_nysdoh",
      "description": "The \"dataset\" is simply a README file that contains information about the data that EPA provided to the lead authors and where to acquire the data on the EPA high-performance computing system archive.  Those data exceed 1 gigabyte in size, so they are too large to be hosted on ScienceHub. \n\nThis dataset is associated with the following publication:\nZhang, W., T. Spero, C. Nolte, V. Garcia, Z. Lin, P. Romitti, G. Shaw, S. Sheridan, M. Feldkamp, A. Woomert, S. Hwang, S. Fisher, M. Browne, Y. Hao, and S. Lin. Projected Changes in Maternal Heat Exposure During Early Pregnancy and the Associated Congenital Heart Defect Burden in the United States.   Journal of the American Heart Association (JAHA). American Heart Association, Dallas, TX, USA, 8(3): e010995, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503525",
      "keyword": [
        "WRF",
        "regional climate modeling",
        "health burden"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "nysdoh.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503525/nysdoh.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-18",
      "references": [
        "https://doi.org/10.1161/jaha.118.010995"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Market Sensitivity of Solar-Fossil Hybrid Electricity Generation to Price, Efficiency, Policy, and Fuel Projections",
      "description": "This dataset includes results from the MARKAL model. A technology that generates electricity from a combination of solar and natural gas energy, called ISCC, is evaluated. Results include electricity generation mixes and emissions projections. \n\nThis dataset is associated with the following publication:\nBrown, K., and D. Loughlin. Market Sensitivity of Solar-Fossil Hybrid Electricity Generation to Price, Efficiency, Policy, and Fuel Projections.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 21(3): 591-604, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502569",
      "keyword": [
        "energy",
        "externality",
        "energy modeling"
      ],
      "contactPoint": {
        "fn": "Kristen Brown",
        "hasEmail": "mailto:brown.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "Hybrid_PubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502569/Hybrid_PubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.1007/s10098-018-1659-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cardiopulmonary hospitalizations and air quality in counties affected by wildfires, 2008-2010",
      "description": "The final dataset combines cardiopulmonary hospitalization data for those 65 and over using the Medicare Provider Analysis and Review (MEDPAR) files from the Center for Medicare and Medicaid Services (CMS), modeled fine particulate matter (PM2.5) concentrations from the Community Multiscale Air Quality (CMAQ) model, and monitoring site concentrations of PM2.5 from the Air Quality System (AQS). All data are aggregated to the county level and restricted to counties with wildfires recorded between 2008-2010. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Due to the presence of PII, limited data are available on request. Format: The data are stored as an R dataset (.RData) on a restricted drive. \n\nThis dataset is associated with the following publication:\nDeflorio-Barker, S., J. Crooks, J. Reyes, and A.G. Rappold. Cardiopulmonary effects of fine particulate matter exposure among older adults, during wildfire and non-wildfire periods, in U.S. 2008-2010.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 127(3): 37006, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435439",
      "keyword": [
        "wildfire",
        "cardiopulmonary",
        "hospitalizations",
        "Medicare"
      ],
      "contactPoint": {
        "fn": "Stephanie Deflorio-Barker",
        "hasEmail": "mailto:deflorio-barker.stephanie@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-02",
      "references": [
        "https://doi.org/10.1289/ehp3860"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measurement of kinetic parameters for biotransformation of PAHs by trout liver S9 fractions: Implications for bioaccumulation assessment",
      "description": "The dataset, which is presented as an Excel spreadsheet, contains all data which is presented as figures in Nichols et al., Measurement of kinetic parameters for biotransformation of polycyclic aromatic hydrocarbons by trout liver S9 fractions: Implications for bioaccumulation assessment, accepted for publication in Applied In Vitro Toxicology 04/2017.  Additional information if provided regarding reaction conditions used to characterize liver S9 fractions and perform PAH depletions studies. \n\nThis dataset is associated with the following publication:\nNichols, J., M. Ladd, and P. Fitzsimmons. Measurement of kinetic parameters for biotransformation of polycyclic aromatic hydrocarbons by trout liver S9 fractions: Implications for bioaccumulation assessment.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 4(4): 365-378, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1374699",
      "keyword": [
        "rainbow trout",
        "fish",
        "biotransformation",
        "in vitro-in vivo extrapolation",
        "bioaccumulation assessment",
        "liver S9 fraction"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "S9 paper; Science Hub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374699/S9%20paper%3B%20Science%20Hub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-18",
      "references": [
        "https://doi.org/10.1089/aivt.2017.0005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaccumulation of highly hydrophobic chemicals by Lumbriculus variegatus",
      "description": "Sediment was dosed with six highly hydrophobic chemicals with estimated log Kows ranging up to 18.3.  Sediment bioaccumulation tests with Lumbriculus variegatus were performed with the dosed sediment.  The attached dataset contains the concentrations in the organisms from the uptake and elimination portions of the test. and supporting data, e.g. lipid contents and weight change for the organisms. \n\nThis dataset is associated with the following publication:\nBurkhard, L., T. Lahren, T. Highland, R. Hockett, D. Mount, and T. Norberg-King. Bioaccumulation of highly hydrophobic chemicals by Lumbriculus variegatus.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 76(1): 129-141, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1395343",
      "keyword": [
        "oligochaete",
        "Lumbriculus variegatus",
        "bioaccumulation",
        "sediment testing",
        "sediment",
        "chemical uptake",
        "bioavailability",
        "fish dietary studies"
      ],
      "contactPoint": {
        "fn": "Lawrence Burkhard",
        "hasEmail": "mailto:burkhard.lawrence@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Materials-Merged-ALL.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395343/Supplementary%20Materials-Merged-ALL.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1007/s00244-018-0554-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gene transcription ontogeny of hypothalamic-pituitary-thyroid axis development in early-life stage fathead minnow and zebrafish",
      "description": "Disruption of thyroid hormone signaling is a form of endocrine disruption that is of concern to both human health and ecosystems. Research is being conducted to define the biological targets chemicals may interact with to disrupt thyroid hormone signaling and the stages in development where that disruption can most readily lead to adverse effects. The present data characterize the expression of key genes associated with thyroid hormone signaling and regulation over the course of development for two small fish widely used in aquatic ecotoxicology research. These data provide baseline information that can lead to a more complete understanding of which thyroid disrupting chemicals fish may be susceptible to and at which stages in development. \n\nThis dataset is associated with the following publication:\nVergauwen, L., J. Cavallin, G. Ankley, C. Bars, I. Gabriels, E. Michiels, K. Nelson, J.  Periz-Stanacev, E. Randolph, S. Robinson, T. Saari, A. Schroeder, E. Stinckens, J. Swintek, S. Van Cruchten, E.  Verbueken, D. Villeneuve, and D. Knapen. Gene transcription ontogeny of thyroid-axis development in early-life stage fathead minnow and zebrafish.   Journal of Experimental Biology. The Company of Biologists LIMITED, Cambridge,  UK, 266: 878-1002, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1429982",
      "keyword": [
        "development",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Thyroid ontogeny_All data_Science Hub_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1429982/Thyroid%20ontogeny_All%20data_Science%20Hub_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-27",
      "references": [
        "https://doi.org/10.1016/j.ygcen.2018.05.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAPS Dataset Coarse PM exacerbates allergic airway responses in mice.",
      "description": "The dataset contains the original data relevant for each figure or table in the cleared publication. The excel file has tabs labelled for each figure (Figures 1-4) or table (tables 1-3). Figure 5 in the paper shows representative histology figures, and so is not linked to data other than as representative of table 3 (histology). Table 1 has 3 tabs for PM collection at the CLM site, PM collection at the GTC site, and for chemistry. Table 2 is represented on 1 tab for biochemistry. Table 3 has 2 tabs for the raw histopathology data for the statistics and summary. \n\nThis dataset is associated with the following publication:\nHargrove, M.M., J. Mcgee, E. Gibbs-Flournoy, C. Wood, Y.H. Kim, I. Gilmour, and S. Gavett. Source-Apportioned Coarse Particulate Matter Exacerbates Allergic Airway Responses in Mice.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 30(11): 405-415, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502509",
      "keyword": [
        "particulate matter",
        "allergy",
        "emission sources"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAPS data-ScienceHub2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502509/CMAPS%20data-ScienceHub2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-01",
      "references": [
        "https://doi.org/10.1080/08958378.2018.1542047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metropolitan DWDS Sequence Data Set",
      "description": "PS_GenBank.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each representative sequence.  The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787.\n\nPS_GenBank.xlsx file contains rows as sample and columns as entries representing the accession number (NCBI) deposited in GenBank for each representative sequence (i.e. unique sequences).\n\nPS_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding gene for each Operational Taxonomic Unit (OTU). The sequence containing four hypervariable regions was amplified using the primer set Eub-8f and 787. \n\nThis dataset is associated with the following publication:\nRevetta , R., V. Gomez-Alvarez, T. Gerke, J. Santodomingo , and N. Ashbolt. CHANGES IN BACTERIAL COMPOSITION OF BIOFILM IN A METROPOLITAN DRINKING WATER DISTRIBUTION SYSTEM.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(1): 294-305, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503383",
      "keyword": [
        "microbial communities",
        "16S rRNA",
        "OTU",
        "drinking water",
        "Biofilm",
        "Microbial Structure",
        "groundwater",
        "surface water",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "PS_GenBank.fasta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503383/PS_GenBank.fasta.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PS_GenBank.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503383/PS_GenBank.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PS_OTU.fasta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503383/PS_OTU.fasta.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-06",
      "references": [
        "https://doi.org/10.1111/jam.13150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metropolitan DWDS Taxonomic Lineage Abundance Data Set",
      "description": "An abundance matrix (PS_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nRevetta , R., V. Gomez-Alvarez, T. Gerke, J. Santodomingo , and N. Ashbolt. CHANGES IN BACTERIAL COMPOSITION OF BIOFILM IN A METROPOLITAN DRINKING WATER DISTRIBUTION SYSTEM.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(1): 294-305, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503385",
      "keyword": [
        "taxonomy",
        "relative abundance",
        "drinking water",
        "Biofilm",
        "Microbial Structure",
        "groundwater",
        "surface water",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "PS_taxonomic_lineage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503385/PS_taxonomic_lineage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-06",
      "references": [
        "https://doi.org/10.1111/jam.13150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Resilience of Microbial Communities OTU Abundance Data Set",
      "description": "An abundance matrix (EX_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 2: 645-657, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503391",
      "keyword": [
        "OTU",
        "relative abundance",
        "microbial communities",
        "drinking water",
        "Biofilm",
        "Antibiotic Resistance Genes",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "EX_OTU.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503391/EX_OTU.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-22",
      "references": [
        "https://doi.org/10.1039/c6ew00053c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Life cycle inventory data of various unit processes in water and wastewater treatment trains and the life cycle impact assessments of different environmental performance categories.",
      "description": "LCI and LCIA for water and wastewater treatment plants. \n\nThis dataset is associated with the following publications:\nXue, X., S. Cashman, A. Gaglione, J. Mosley, L. Weiss, C. Ma, J. Cashdollar, and J. Garland. Holistic Analysis of Urban Water Systems in the Greater Cincinnati Region: (1) Life Cycle Assessment and Cost Implications.   Water Research X. Elsevier B.V., Amsterdam,  NETHERLANDS, 2: 100015, (2019).\nCashman, S., A. Gaglione, J. Mosley, L. Weiss, T. Hawkins, N. Ashbolt, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal drinking water treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.\nCashman, S., A. Gaglione, J. Mosley, L. Weiss, N. Ashbolt, T. Hawkins, J. Cashdollar , X. Xue, C. Ma , and S. Arden. Environmental and cost life cycle assessment of disinfection options for municipal wastewater treatment. U.S. Environmental Protection Agency, Washington, DC, USA, 2014.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407684",
      "keyword": [
        "LCA",
        "Impact assessment",
        "system analysis",
        "LCC",
        "energy expenditure and distribution",
        "Water Systems",
        "sustainability analysis",
        "Drinking water systems",
        "wastewater systems",
        "Life cycle assessment (LCA)",
        "life cycle costing",
        "life cycle impact assessment method"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "graphs for manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407684/graphs%20for%20manuscript.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DWT Cost Calculations_Final_2014 09 25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407684/DWT%20Cost%20Calculations_Final_2014%2009%2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DWT_LCAResults_DraftFinal.UpdatedNG(3.31.15)(10.15.15).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407684/DWT_LCAResults_DraftFinal.UpdatedNG%283.31.15%29%2810.15.15%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WWT BaseCaseCosts.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407684/WWT%20BaseCaseCosts.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WWT LCAresults .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407684/WWT%20LCAresults%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-25",
      "references": [
        "https://doi.org/10.1016/j.wroa.2018.100015"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Edison Big Parking Lot Nutrient data.",
      "description": "The data includes nutrient concentrations for infiltrates, runoff, and rainfall during the monitoring period. \n\nThis dataset is associated with the following publication:\nRazzaghmanesh, M., and M. Borst. Long- term effects of three types of permeable pavements on nutrient infiltrate concentrations.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 670: 893-901, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502577",
      "keyword": [
        "Permeable pavement parking lot",
        "nutrients",
        "nitrification",
        "Trend analysis",
        "stormwater runoff"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Edison Big Parking Lot Nutrient data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502577/Edison%20Big%20Parking%20Lot%20Nutrient%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-26",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.03.279"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Resilience of Microbial Communities Taxonomic Lineage Abundance Data Set",
      "description": "An abundance matrix (EX_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 2: 645-657, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503392",
      "keyword": [
        "taxonomy",
        "relative abundance",
        "microbial communities",
        "drinking water",
        "Biofilm",
        "Antibiotic Resistance Genes",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "EX_taxonomic_lineage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503392/EX_taxonomic_lineage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-22",
      "references": [
        "https://doi.org/10.1039/c6ew00053c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metropolitan DWDS OTU Abundance Data Set",
      "description": "An abundance matrix (PS_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nRevetta , R., V. Gomez-Alvarez, T. Gerke, J. Santodomingo , and N. Ashbolt. CHANGES IN BACTERIAL COMPOSITION OF BIOFILM IN A METROPOLITAN DRINKING WATER DISTRIBUTION SYSTEM.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 121(1): 294-305, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503384",
      "keyword": [
        "OTU",
        "relative abundance",
        "drinking water",
        "Biofilm",
        "Microbial Structure",
        "groundwater",
        "surface water",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "PS_OTU.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503384/PS_OTU.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-10-06",
      "references": [
        "https://doi.org/10.1111/jam.13150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Resilience of Microbial Communities Sequence Data Set",
      "description": "The EX_Genome_Assemblies.zip file contain the contig sequences (i.e. assembly) of fifteen isolates used for genomic and antibiotic resistance genes (ARG) analysis.\n\nEX_OTU.fasta file contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Pfaller, J. Pressman, D. Wahman, and R. Revetta. Resilience of microbial communities in a simulated drinking water distribution system subjected to disturbances: role of conditionally rare taxa and potential implications for antibiotic-resistant bacteria.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 2: 645-657, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503390",
      "keyword": [
        "microbial communities",
        "16S rRNA",
        "OTU",
        "Genomes",
        "drinking water",
        "Biofilm",
        "Antibiotic Resistance Genes",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP069876",
          "accessURL": "https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP069876",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EX_Genome_Assemblies.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503390/EX_Genome_Assemblies.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EX_OTU.fasta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503390/EX_OTU.fasta.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-09-22",
      "references": [
        "https://doi.org/10.1039/c6ew00053c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phenone rtER binding Vtg_Tapper_A-jm6n_data set 20171002",
      "description": "Phenones and hydroxy benzophenones are widely used as UV radiation filters, and in the manufacturing of insecticides and pharmaceuticals. Understanding the ability of these chemicals to mimic the effects of the steroid estrogen is of interest to the US Environmental Protection Agency and other international environmental organizations. The current study sequentially combined complementary in vitro (outside a living organism) rainbow trout estrogen receptor (rtER) binding and liver slice vitellogenin (Vtg) mRNA induction assays in the context of a defined ER-mediated adverse outcome pathway (AOP). Cyclic phenones, branched phenones, and hydroxybenzophenones bound to rtER with relative potency ranging from no affinity to high binding affinity of 0.11%, and many induced Vtg, an egg yolk protein, gene expression in rt liver slices. In addition, cyclohexylphenylketone which did not bind rtER binding in cytosol was biotransformed within liver tissue to a chemical that induced Vtg expression. Cyclic phenones, branched phenones and hydroxybenzophenones produced estrogen like responses in these rainbow trout in vitro assays. \n\nThis dataset is associated with the following publication:\nTapper, M., J. Denny, J. Serrano, R. Kolanczyk, B. Sheedy, G. Overland, M. Hornung, and P. Schmieder. Phenone, hydroxybenzophenone, and branched phenone estrogen receptor binding and vitellogenin agonism in rainbow trout in vitro models.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 5(1): 62-74, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1424400",
      "keyword": [
        "In vitro assay",
        "estrogen receptor",
        "vitellogenin gene expression",
        "endocrine disruption",
        "AOP"
      ],
      "contactPoint": {
        "fn": "Mark Tapper",
        "hasEmail": "mailto:tapper.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Phenone rtER binding Vtg_Tapper_A-jm6n_data set 201810613.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1424400/Phenone%20rtER%20binding%20Vtg_Tapper_A-jm6n_data%20set%20201810613.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-07",
      "references": [
        "https://doi.org/10.1089/aivt.2018.0008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data File 1: Metabolism of cyclic phenones in rainbow trout in vitro assays ",
      "description": "Files contain summary reports of chemical and Mass Spectrometry raw and analyzed data  used as basis for plot generation and text discussions in the Cyclic phenone metabolism  manuscript. File dataset includes a Definition Xcel file listing the supporting files in set. Specifically, the dataset  includes individual chemical  slice exposure Xcel data summaries for the model cyclic phenones  DPK, CBP and CPK as well as well as hepatocyte cytosol exposure data to the same chemicals. Each  file contains data organized in labelled tabs that includes General Experimental information, Quantitative and qualitative methods used to process/analyze the raw data for parent and chemical metabolites, chemical mass balances and conclusions. Power point files with the summarized data were presented in the manuscript's Supplemental data. \n\nThis dataset is associated with the following publication:\nSerrano, J., M. Tapper, R. Kolanczyk, B. Sheedy, T. Lahren, D. Hammermeister, J. Denny, M. Hornung, A. Kubatova, P. Kosian, J. Voelker, and P. Schmieder. Metabolism of cyclic phenones in rainbow trout in vitro assays.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 50(2): 115-131, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502613",
      "keyword": [
        "cyclic phenones",
        "in vitro assays",
        "endocrine disruption",
        "fish liver slices",
        "estrogen receptor",
        "Vtg gene expression",
        "Metabolism",
        "GC-MS",
        "LC-MS/MS",
        "LC-ToF-MS"
      ],
      "contactPoint": {
        "fn": "Jose Serrano",
        "hasEmail": "mailto:serrano.jose@epa.gov"
      },
      "distribution": [
        {
          "title": "File Definition Sheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502613/File%20Definition%20Sheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DPK full study HUB file.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502613/DPK%20full%20study%20HUB%20file.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBP slice full study HUB File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502613/CBP%20slice%20full%20study%20HUB%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPK slice study HUB File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502613/CPK%20slice%20study%20HUB%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBP DPK CPK cytosol HUB File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502613/CBP%20DPK%20CPK%20cytosol%20HUB%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-04",
      "references": [
        "https://doi.org/10.1080/00498254.2019.1596331"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Arsenic speciation results",
      "description": "The dataset is a table that shows soil samples with corresponding total arsenic concentrations, arsenic bioavailability values, and linear combination fitting results of synchrotron speciation results. \n\nThis dataset is associated with the following publication:\nStevens, B.N., A.R. Betts, B.W. Miller, K.G. Scheckel, R.H. Anderson, K.D. Bradham, S.W. Casteel, D.J. Thomas, and N.T. Basta. Arsenic Speciation of Contaminated Soils/Solid Wastes and Relative Oral Bioavailability in Swine and Mice.   Soil Systems. MDPI AG, Basel,  SWITZERLAND, 2(2): 27, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1435027",
      "keyword": [
        "arsenic",
        "metal bioavailability",
        "synchrotron speciation",
        "EXAFS",
        "XANES"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 2 for SciHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435027/Table%202%20for%20SciHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-07",
      "references": [
        "https://doi.org/10.3390/soilsystems2020027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for figures in publication \"Long Chain Lipid Hydroperoxides Increase the Glutathione Redox Potential Through Glutathione Peroxidase 4",
      "description": "The dataset contains the metadata associated with the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nCorteselli, E., E. Gibbs-Flournoy, S. Simmons, P. Bromberg, A. Gold, and J.M. Samet. Long Chain Lipid Hydroperoxides Increase the Glutathione Redox Potential Through Glutathione Peroxidase 4.   Biochimica et Biophysica Acta. Elsevier Science Ltd, New York, NY, USA, 1863(5): 950-959, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502576",
      "keyword": [
        "Oxidant Stress"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata for Long Chain Lipid Hydroperoxides Increase The Glutathione Redox Potential Through Glutathione Peroxidase 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502576/Metadata%20for%20Long%20Chain%20Lipid%20Hydroperoxides%20Increase%20The%20Glutathione%20Redox%20Potential%20Through%20Glutathione%20Peroxidase%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-17",
      "references": [
        "https://doi.org/10.1016/j.bbagen.2019.03.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Martin et al_Zebrafish Heart Rate Assay_ All Data",
      "description": "Data file contains heart rate values for each fish by experiment. The data were used to generate figures and tables in the attached manuscript. \n\nThis dataset is associated with the following publication:\nMartin, W.K., A. Tennant, R. Conolly, K. Prince, J. Stevens, D. DeMarini, B. Martin, L. Thompson, I. Gilmour, W. Cascio, M. Hays, M. Hazari, S. Padilla, and A. Farraj. High-Throughput Video Processing to Score Heart Rate Responses to Xenobiotics in Wild-type Embryonic Zebrafish per imaging field.   Scientific Reports. Nature Publishing Group, London,  UK, 9(1): 145, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502482",
      "keyword": [
        "zebrafish",
        "heart rate",
        "high throughput",
        "Fine Particulate Matter",
        "high througput",
        "video processing"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Martin et al 2018_Data S1_All Data_SciRep_Locked .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502482/Martin%20et%20al%202018_Data%20S1_All%20Data_SciRep_Locked%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-12",
      "references": [
        "https://doi.org/10.1038/s41598-018-35949-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cardinal Serum Concentrations and Metadata 11/20/2017",
      "description": "Measured Concentrations of PFASs in all samples is provided.  Calculations of the method accuracy using SRM 1957 and method precision using replicate analysis is provided.  Metadata for all cardinals is provided. \n\nThis dataset is associated with the following publication:\nRussell, M., S. Newton, K. McClure, R. Levine, L. Phelps, A. Lindstrom, and M. Strynar. Per- and polyfluoroalkyl substances in two different populations of northern cardinals.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 222: 295-304, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1409308",
      "keyword": [
        "PFAS",
        "PFOS",
        "serum",
        "Cardinals"
      ],
      "contactPoint": {
        "fn": "Seth Newton",
        "hasEmail": "mailto:newton.seth@epa.gov"
      },
      "distribution": [
        {
          "title": "RussellNewton_ScienceHubData_PFAS_CardSerum_FINAL171114.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409308/RussellNewton_ScienceHubData_PFAS_CardSerum_FINAL171114.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-20",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2019.01.112",
        "https://pasteur.epa.gov/uploads/10.23719/1409308/documents/QA%20summary%20171102.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phenology-adjusted Dynamic Curve Number for Improved Hydrologic Modeling",
      "description": "Our study aimed to develop a method to derive NDVI-based CN (CNNDVI) to account for seasonal land use/cover changes and capture the spatial and temporal variability of hydrologic conditions which influence the rainfall-runoff relationship. \n\nThis dataset is associated with the following publication:\nMuche, M., S. Hutchinson, J.M.S. Hutchinson, and J. Johnston. Phenology-adjusted dynamic curve number for improved hydrologic modeling.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 235: 403-413, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503393",
      "keyword": [
        "Curve Number (CN)",
        "Normalized Difference Vegetation Index (NDVI)",
        "Surface runoff",
        "Surface water hydrology",
        "watershed modeling",
        "Spatiotemporal modeling"
      ],
      "contactPoint": {
        "fn": "Muluken Muche",
        "hasEmail": "mailto:muche.muluken@epa.gov"
      },
      "distribution": [
        {
          "title": "MucheMuluken_PhenologyAdjustedCurveNumber_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503393/MucheMuluken_PhenologyAdjustedCurveNumber_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-13",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2018.12.115"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-analysis of remediation efforts for forests exposed to long term N deposition",
      "description": "See other fields",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502461",
      "keyword": [
        "nitrogen",
        "nitrogen deposition",
        "sulfur deposition",
        "acid rain",
        "biodiversity",
        "native plants",
        "Nitrogen Cycle",
        "soil pH",
        "Forests",
        "contiguous United States"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "data_v7_forest_ind.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502461/data_v7_forest_ind.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MMartin_DFiler_tcpl: the ToxCast pipeline for high-throughput screening data",
      "description": "The tcpl package provides a set of tools for processing and modeling high-throughput and high-content chemical screening data. \n\nThis dataset is associated with the following publication:\nFiler, D.L., P. Kothiya, R.W. Setzer, R.S. Judson, and M.T. Martin. (BIOINFORMATICS) tcpl: The ToxCast Pipeline for High-Throughput Screening Data.   BIOINFORMATICS. Oxford University Press, Cary, NC, USA,  1-3, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503691",
      "keyword": [
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-ToxCast-tcpl",
          "accessURL": "https://github.com/USEPA/CompTox-ToxCast-tcpl",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.6062788.v1",
          "accessURL": "https://doi.org/10.23645/epacomptox.6062788.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-08",
      "references": [
        "https://doi.org/10.1093/bioinformatics/btw680"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Judson_Kleinstreuer_Development and Validation of a Computational Model for Androgen Receptor Activity.",
      "description": "Data on 1855 chemicals were generated during ToxCast Phases I and II and Tox21 screening using 11 AR-related in vitro assays to build a computational network model for AR pathway activity. \n\nThis dataset is associated with the following publication:\nKleinstreuer, N.C., P. Ceger, E. Watt, M. Martin, K. Houck, P. Browne, R. Thomas, W. Casey, D. Dix, D. Allen, S. Sakamuru, M. Xia, R. Huang, and R. Judson. (Chemical Research in Toxicology) Development and Validation of a Computational Model for Androgen Receptor Activity.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 30(4): 946-964, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503692",
      "keyword": [
        "androgen receptor pathway",
        "computational model",
        "High throughput screening",
        "endocrine disruption screening",
        "ToxCast",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/Comptox/Staff/rjudson/publications/Kleinstreuer%20AR%20model%20CRT%202016/",
          "accessURL": "https://gaftp.epa.gov/Comptox/Staff/rjudson/publications/Kleinstreuer%20AR%20model%20CRT%202016/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-08",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.6b00347"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "O3GD6-CM2016 Data from Paper",
      "description": "Ozone Exposure During Implantation Increases Serum Bioactivity in HTR-8/SVneo Trophoblasts data. \n\nThis dataset is associated with the following publication:\nMiller, C., E. Stewart, S. Snow, W. Williams, J. Richards, L. Thompson, M. Schladweiler, A. Farraj, U. Kodavanti, and J. Dye. Ozone exposure during implantation increases serum bioactivity in HTR8/SVneo trophoblasts.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  168(2): 535-550, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503712",
      "keyword": [
        "Ozone",
        "pregnancy",
        "in vitro"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "O3GD6-CM2016 Data from Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503712/O3GD6-CM2016%20Data%20from%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-16",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites During 3D Printing",
      "description": "The data set contains the details on the thermal degradation that takes place during 3D printing of acrylonitrile butadiene styrene both with and without carbon nanotubes. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. \n\nThis dataset is associated with the following publication:\nPotter, P., S. Al-Abed, D. Lay, and S. Lomnicki. VOC Emissions and Formation Mechanisms from Carbon Nanotube Composites during 3D Printing.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53: 4364-4370, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503339",
      "keyword": [
        "3D printing",
        "fused deposition modelling",
        "carbon nanotubes",
        "polymer degradation"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "3D VOC Raw Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503339/3D%20VOC%20Raw%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-09",
      "references": [
        "https://doi.org/10.1021/acs.est.9b00765"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503339/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Chlorinated Cyanurates:  Measurement Bias, Stability, and DBP Formation",
      "description": "Data to generate figures in manuscript. \n\nThis dataset is associated with the following publication:\nWahman, D., M. Alexander, and A. Dugan. Chlorinated Cyanurates in Drinking Water:  Measurement Bias, Stability, and Disinfectant Byproduct Formation.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 1(2): e1133, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1419486",
      "keyword": [
        "cyanuric acid"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Chlorinated Cyanurates Measurement Bias, Stability, and DBP Formation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419486/Chlorinated%20Cyanurates%20Measurement%20Bias%2C%20Stability%2C%20and%20DBP%20Formation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-06",
      "references": [
        "https://doi.org/10.1002/aws2.1133"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set",
      "description": "The dataset  contains data on the dynamic light scattering measurements that were conducted and reported in the manuscript.  The average size of the silver nanoparticles used is presented along with a time series of measurements measuring how the measured hydrodynamic diameter changed in the presence of Ampicillin over a 12 hour time period. \n\nThis dataset is associated with the following publication:\nSurwade, P., C. Ghildyal, C. Weikel, T. Luxton, D. Peloquin, F. Xin, and V. Shah. Augmented antibacterial activity of ampicillin with silver nanoparticles against methicillin-resistant Staphylococcus aureus (MRSA).   The Journal of Antibiotics. Springer Nature Group, New York, NY,  72(2): 50-53, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503460",
      "keyword": [
        "Silver",
        "Nanoparticle",
        "MRSA",
        "Antibacterial",
        "antibiotics"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503460/Science%20Hub%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-12",
      "references": [
        "https://doi.org/10.1038/s41429-018-0111-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A critical assessment of available ecosystem services data according to the Final Ecosystem Goods and Services classification scheme",
      "description": "An summary of FEGS attributes for beneficiaries in the FEGS-CS for the purpose of analyzing the FEGS coverage of the EnviroAtlas. \n\nThis dataset is associated with the following publication:\nTashie, A., and P. Ringold. A critical assessment of available ecosystem services data according to the Final Ecosystem Goods and Services framework.   Ecosphere. ESA Journals,    10(3): e02665., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502608",
      "keyword": [
        "final ecosystem goods and services",
        "ecological indicator",
        "Ecosystem Goods and Services",
        "Ecological production functions"
      ],
      "contactPoint": {
        "fn": "Paul Ringold",
        "hasEmail": "mailto:ringold.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502608/Appendix.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-04",
      "references": [
        "https://doi.org/10.1002/ecs2.2665"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nassau Co. cleaned data",
      "description": "Data used for modeling and ms. preparation. \n\nThis dataset is associated with the following publication:\nMyer, M., and J. Johnston. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 650(2): 2818-2829, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503090",
      "keyword": [
        "Spatiotemporal",
        "West Nile",
        "vector-borne disease",
        "arboviral",
        "Bayesian"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "NassauDataWithAllVariables.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503090/NassauDataWithAllVariables.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-17",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.09.397"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Deiodinase Types 1, 2, and 3: Screening of ToxCast Phase 1_v2, Phase 2, and e1k Chemical Libraries",
      "description": "These excel spreadsheets contains the resultant data from inhibition assays with human Iodothyronine Deiodinase Types 1, 2, and 3 screened against the ToxCast Phase 1_v2, Phase 2, and e1k chemical libraries, as well as a few additional chemicals used in assay development. Over 1,800 chemicals were tested in total. It contains the list of chemicals tested and the median, minimum, and maximum inhibition for each chemical screened at 200 µM. Chemicals that gave greater than 50% inhibition were screened in concentration-response mode, and the median, min, max inhibition at each concentration for those chemicals are included. A model inhibitor (propylthiouracil or xanthohumol) was used in each plate as a positive control and the concentration-response data for those curves are also included. \n\nThis dataset is associated with the following publication:\nOlker, J., J. Korte, J. Denny, P. Hartig, M. Cardon, C. Knutsen, P. Kent, J. Christensen, S. Degitz, and M. Hornung. Screening the ToxCast Phase 1, Phase 2, and e1k Chemical Libraries for Inhibitors of Iodothyronine Deiodinases.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  168(2): 430-442, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502542",
      "keyword": [
        "deiodinase",
        "thyroid hormone",
        "Chemical Screening",
        "In vitro assay"
      ],
      "contactPoint": {
        "fn": "Jennifer Olker",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Olker_et_al_DIO1_DIO2_DIO3_181127.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502542/Olker_et_al_DIO1_DIO2_DIO3_181127.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy302"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BC Instrument Field Comparison",
      "description": "Comparison of two black carbon instruments for quantifying the black carbon emissions from a T63 turboshaft aircraft engine burning conventional and Fischer-Tropsch fuel. \n\nThis dataset is associated with the following publication:\nKinsey, J., E. Corporan, J. Pavlovic, M. DeWitt, C. Klingshirn, and R. Logan. Comparison of measurement methods for the characterization of the black carbon emissions from a T63 turboshaft engine burning conventional and Fischer-Tropsch fuel.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  576-591, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502451",
      "keyword": [
        "aircraft engines",
        "emissions",
        "Fine Particulate Matter",
        "instrumentation",
        "Speciation"
      ],
      "contactPoint": {
        "fn": "John Kinsey",
        "hasEmail": "mailto:kinsey.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig 5 to Fig 7 BC Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502451/Fig%205%20to%20Fig%207%20BC%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 3 & 8 WPAFB CPC & SMPS Mass.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502451/Fig%203%20%26%208%20WPAFB%20CPC%20%26%20SMPS%20Mass.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4_SMPS PSDs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502451/Figure%204_SMPS%20PSDs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-25",
      "references": [
        "https://doi.org/10.1080/10962247.2018.1556188"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tree-O dataset",
      "description": "The dataset contains, by Census block-group, the variables used in the analysis and the resulting ranks and scores derived as described in the manuscript text. \n\nThis dataset is associated with the following publication:\nAlmeter, A., A. Tashie, A. Proctor, T. McAlexander, D. Browning, C. Rudder, L. Jackson, and R. Araujo. A Needs-Driven, Multi-Objective Approach to Allocate Urban Ecosystem Services from 10,000 Trees.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 10(12): 4488, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503106",
      "keyword": [
        "ecosystem services",
        "eco-health",
        "urban trees",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "Laura Jackson",
        "hasEmail": "mailto:jackson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "TreeO_jackson_A-jq2x_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503106/TreeO_jackson_A-jq2x_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-19",
      "references": [
        "https://doi.org/10.3390/su10124488"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Validation of a Novel Cell Culture Exposure System (CCES) for Studying the Toxicity of Volatile Chemicals at the Air-Liquid Interface",
      "description": "We developed a cell culture exposure system (CCES) to expose cells at the air-liquid interface (ALI) to volatile chemicals. We characterized the CCES by exposing indigo dye-impregnated filters inside each culture well to 125 ppb ozone (O3) for 1 h at flow rates of 5 and 25 mL/min/well; the reaction of O3 with an indigo dye produces a fluorescence product. We observed a 5-fold increase in fluorescence at 25 mL/min/well, suggesting higher flows were more effective. We then exposed primary human bronchial lung epithelial cells (HBECs) to 0.3 ppm acrolein for 2 h at 3, 5 and 25 mL/min/well and compared our results against well-established Human Studies Facility in vitro exposure chambers (HSF Chambers) at the U.S. EPA. We measured lactate dehydrogenase (LDH) release, and transcript changes of heme oxygenase-1 (HMOX1) and interleukin-8 (IL8) at 0, 1, and 24 h post-exposure. Comparing responses from the HSF Chamber to the CCES, differences were only observed at 1 h post-exposure for HMOX1. Here, the HSF Chamber produced a ~6-fold increase in HMOX1 while the CCES at 3 and 5 mL/min/well produced a ~1.7-fold increase. Operating the CCES at 25 mL/min/well produced a ~4.5-fold increase; slightly lower than the HSF Chamber. Our results suggest that higher flow rates in the CCES were more effective at delivering the gas to the cells, and this was further validated by our comparison against a well-established in vitro exposure system. Further testing is required to explore the sensitivity of the CCES with other chemicals. \n\nThis dataset is associated with the following publication:\nZavala-Mendez, J., A. Ledbetter, D.S. Morgan, L. Dailey, E. Puckett, S. McCullough, and M. Higuchi. A New Cell Culture Exposure System (CCES) for Studying the Toxicity of Volatile Chemicals at the Air-Liquid Interface.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(4): 169-177, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1394117",
      "keyword": [
        "acrolein",
        "primary human lung cells",
        "air-liquid interface",
        "in vitro exposure"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset-McCullough-20170809.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394117/Dataset-McCullough-20170809.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-09",
      "references": [
        "https://doi.org/10.1080/08958378.2018.1483983"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The impact of air pollutant deposition on solar energy system efficiency: an approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model",
      "description": "Excel spreadsheets containing data for the figures in the paper: monthly difference between precipitation frequency by WRF model and by observations at three sites in 2011; daily observed concentration from AQS network and model concentrations for PM2.5 and PM10; seasonal stacked bar plots of PM2.5 and coarse mode particle composition from CMAQ simulation and from CSN sites observations; and monthly estimation of solar panel transmittance sensitivity to soiling effect, mean fine particle fraction in total accumulated mass on the solar panel at three sites based on three deposition estimations and model precipitation frequency. \n\nThis dataset is associated with the following publication:\nZhou, L., D. Schwede, W. Appel, M. Mangiante, D. Wong, S. Napelenok, P. Whung, and B. Zhang. The impact of air pollutant deposition on solar energy system efficiency: An approach to estimate PV soiling effects with the Community Multiscale Air Quality (CMAQ) model.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 651(1): 456-465, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500890",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "zhou_A-k0pp_Dataset_20181002.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500890/zhou_A-k0pp_Dataset_20181002.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.09.194"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500890/documents/Zhou_A-k0pp_DataDictionary_Solar.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figure 2 and study conclusions.",
      "description": "Projected global methane emissions from lakes and reservoirs under scenarios of enhance eutrophication. \n\nThis dataset is associated with the following publication:\nBeaulieu, J., T. DelSontro, and J. Downing. Eutrophication will increase methane emissions from lakes and impoundments during the 21st century.   Nature Communications. Nature Publishing Group, London,  UK, 10(1375): 1-5, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1398251",
      "keyword": [
        "lakes",
        "Methane",
        "eutrophication"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "BeaulieuJake_A-9p8q_DATA_20170915.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1398251/BeaulieuJake_A-9p8q_DATA_20170915.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-19",
      "references": [
        "https://doi.org/10.1038/s41467-019-09100-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Fig. 1 and lake-size by chla distribution",
      "description": "Contains the raw data used to generate Fig. 1 and the associated models.  The data also contains the joint lake-size by chla distribution used for the upscaling. \n\nThis dataset is associated with the following publication:\nBeaulieu, J., T. DelSontro, and J. Downing. Eutrophication will increase methane emissions from lakes and impoundments during the 21st century.   Nature Communications. Nature Publishing Group, London,  UK, 10(1375): 1-5, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1398252",
      "keyword": [
        "lake size",
        "lakes",
        "Methane",
        "eutrophication"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/s/c6a4133f3595b67a9816",
          "accessURL": "https://figshare.com/s/c6a4133f3595b67a9816",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-25",
      "references": [
        "https://doi.org/10.1038/s41467-019-09100-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPAdata_MLS_paper1",
      "description": "EPA Draft Method C QPCR cycle threshold (Ct) measurements of standardized reference materials as described in D-EMMD-MEB-025-QAPP-01 and Journal article. \n\nThis dataset is associated with the following publication:\nSivaganesan, M., T. Aw, S. Briggs, E. Dreelin, A. Aslan, S. Dorevitch, A. Shrestha, N. Isaacs, J. Kinzelman, G. Kleinheinz, R. Noble, R. Rediske, B. Scull, S. Rosenberg, B. Weberman, T. Sivy, B. Southwell, S. Siefring, K. Oshima, and R. Haugland. Standardized data quality acceptance criteria for a rapid Escherichia coli qPCR method (Draft Method C) for water quality monitoring at recreational beaches.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 156: 456-464, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502438",
      "keyword": [
        "data quality criteria",
        "E. coli",
        "epa method c",
        "qPCR",
        "water quality criteria"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "EPAdata_MLS_paper1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502438/EPAdata_MLS_paper1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.03.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPAdata_MLS_paper2",
      "description": "EPA Draft Method C QPCR cycle threshold (Ct) measurements of standardized reference materials and blinded test samples as described in D-EMMD-MEB-025-QAPP-01 and Journal article. \n\nThis dataset is associated with the following publication:\nAw, T., M. Sivaganesan, S. Briggs, E. Dreelin, A. Aslan, S. Dorevitch, A. Shrestha, N. Isaacs, J. Kinzelman, G. Kleinheinz, R. Noble, R. Rediske, B. Scull, S. Rosenberg, B. Weberman, T. Sivy, B. Southwell, S. Siefring, K. Oshima, and R. Haugland. Evaluation of multiple laboratory performance and variability in analysis of recreational freshwaters by a rapid Escherichia coli qPCR method (Draft Method C).   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 156: 465-474, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502439",
      "keyword": [
        "draft method c",
        "E. coli",
        "QA",
        "qPCR",
        "recreational water",
        "variability"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "EPAdata_MLS_paper2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502439/EPAdata_MLS_paper2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.03.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropogenic enhancements to production of highly oxygenated molecules from autoxidation",
      "description": "Atmospheric oxidation of natural and anthropogenic volatile organic compounds (VOCs) leads to secondary organic aerosol (SOA), which constitutes a major and often dominant component of atmospheric fine particulate matter (PM2.5). Recent work demonstrates that rapid autoxidation of organic peroxy radicals (RO2) formed during VOC oxidation results in highly oxygenated organic molecules (HOM) which efficiently form SOA. As NOx emissions decrease, the chemical regime of the atmosphere changes to one in which RO2 autoxidation becomes increasingly important, potentially increasing PM2.5, while oxidant availability driving RO2 formation rates simultaneously declines, possibly slowing regional PM2.5 formation. Using a unique suite of in situ aircraft observations and laboratory studies of HOM, together with a detailed molecular mechanism, we show that although autoxidation in an archetypal biogenic VOC system becomes more competitive as NOx decreases, absolute HOM production rates decrease due to oxidant reductions, leading to an overall positive coupling between anthropogenic NOx and localized biogenic SOA from autoxidation. This effect is observed in the Atlanta, Georgia urban plume where HOM is enhanced in the presence of elevated NO, and predictions for Guangzhou, China, where increasing HOM-RO2 production coincides with increases in NO from 1990 to 2010. These results suggest added benefits to PM2.5 abatement strategies come with NOx emission reductions and have implications for aerosol-climate interactions due to changes in global SOA resulting from NOx interactions since the pre-industrial era.\n\nDatasets include links to CMAQ, F0AM, and WAM model code as well as the SENEX aircraft campaign data archive.\n\nFiles include data shown in Figure 3 (C10H18O7 HOM from SENEX), data used to construct Figure 4 and S10 (CMAQ model predictions of oxidants and intermediate species), additional supporting data in Figure S11 (SENEX C10 HOM species), and observed particle and gas composition from SOAFFEE laboratory experiments (Figure S6 and elsewhere). \n\nThis dataset is associated with the following publication:\nPye, H., E. D’Ambro, B. Lee, S. Schobesberger, M. Takeuchi, Y. Zhao, F. Lopez-Hilfiker, J. Liu, J. Shilling, J. Xing, R. Mathur, A. Middlebrook, J. Liao, A. Welti, M. Graus, C. Warneke, J.d. Gouw, J. Holloway, T. Ryerson, I. Pollack, and J. Thornton. Anthropogenic enhancements to production of highly oxygenated molecules from autoxidation..   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 116(14): 6641-6646, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502525",
      "keyword": [
        "autoxidation",
        "monoterpenes",
        "a-pinene",
        "pinene",
        "NOx",
        "Air quality trends",
        "anthropogenic compounds",
        "Southeastern USA",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "pye2019.fig.s6a.CIMSparticle.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502525/pye2019.fig.s6a.CIMSparticle.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pye2019.fig.s6d.CIMSgas.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502525/pye2019.fig.s6d.CIMSgas.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pye2019.fig.s11.c10hom.senex.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502525/pye2019.fig.s11.c10hom.senex.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pye2019.fig3.c10h1807hom.senex.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502525/pye2019.fig3.c10h1807hom.senex.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pye2019.fig4.figs10.cmaqmodel1990to2013.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502525/pye2019.fig4.figs10.cmaqmodel1990to2013.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://data.eol.ucar.edu/master_list/?project=SAS",
          "accessURL": "https://data.eol.ucar.edu/master_list/?project=SAS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/AirChem/F0AM",
          "accessURL": "https://github.com/AirChem/F0AM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.atmos.washington.edu/~thornton/washington-aerosol-module",
          "accessURL": "https://www.atmos.washington.edu/~thornton/washington-aerosol-module",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-29",
      "references": [
        "https://doi.org/10.1073/pnas.1810774116"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Colloidal stability and heavy metal adsorption on rGO, rGO/magnetite, rGO/silver, and rGO/magnetite/silver ",
      "description": "The data set shows 1) adsorption kinetics and capacities for Cd(II), Ni(II), Zn(II), Co(II), Pb(II), and Cu(II) as affected by pH and ionic strength; 2) hydrodynamic diameter of nanomaterials as a function of time; and 3) X-ray photoelectron spectra (XPS) of rGO before and after Cd(II) adsorption; and (4) X-ray diffractograms (XRD) of nanomaterials. \n\nThis dataset is associated with the following publication:\nPark, C.M., D. Wang, J. Han, J. Heo, and C. Su. Evaluation of the colloidal stability and adsorption performance of reduced graphene oxide–elemental silver/magnetite nanohybrids for selected toxic heavy metals in aqueous solutions.   Applied Surface Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 471: 8-17, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503670",
      "keyword": [
        "Aggregation kinetics",
        "Adsorption kinetics",
        "adsorption isotherms",
        "toxic heavy metal",
        "XPS"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Agg_rGO.Magnetite_Metals.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/Agg_rGO.Magnetite_Metals.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Agg_rGO.Magnetite.Silver_Metals.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/Agg_rGO.Magnetite.Silver_Metals.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Agg_rGO.Silver_Metals.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/Agg_rGO.Silver_Metals.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XPS.RGO (Full can).csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/XPS.RGO%20%28Full%20can%29.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XPS.RGO (High resolution).csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/XPS.RGO%20%28High%20resolution%29.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XPS.rGO   Cd (High resolution).csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/XPS.rGO%20%20%20Cd%20%28High%20resolution%29.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Agg_rGO_Metals.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/Agg_rGO_Metals.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XPS.rGO   Cd (Full scan).csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/XPS.rGO%20%20%20Cd%20%28Full%20scan%29.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XRD.rGO.Ag.Fe.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503670/XRD.rGO.Ag.Fe.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-28",
      "references": [
        "https://doi.org/10.1016/j.apsusc.2018.11.240"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aspirin+O3",
      "description": "Aspirin modifies O3 effects. \n\nThis dataset is associated with the following publication:\nMiller, C., U. Kodavanti, E. Stewart, M. Schladweiler, J. Richards, A. Ledbetter, L. Jarrell, S. Snow, A. Henriquez, A. Farraj, and J. Dye. Aspirin pre-treatment modulates ozone-induced fetal growth restriction and alterations in uterine blood flow in rats.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 83: 63-72, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500944",
      "keyword": [
        "Ozone",
        "pregnancy",
        "fetal growth assessment"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "O3Asp-CM2017 Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500944/O3Asp-CM2017%20Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-14",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2018.12.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genome Sequence Data Set01",
      "description": "The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of seven Legionella pneumophila subps. pneumophila isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., L. Boczek, D. King, A. Pemberton, S. Pfaller, M. Rodgers, J. Santodomingo, and R. Revetta. Draft Genome Sequences of Seven Legionella pneumophila Isolates from a Hot Water System of a Large Building.   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(18): e00384-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502584",
      "keyword": [
        "isolates",
        "assembly",
        "draft genome",
        "Microbial Analysis",
        "Premise Plumbing",
        "drinking water",
        "buildings",
        "legionella"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA487286",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA487286",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Genome_Set01.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502584/Genome_Set01.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Genome_Set01.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502584/Genome_Set01.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-01",
      "references": [
        "https://doi.org/10.1128/mra.00384-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RAIDAR-ICE manuscript data",
      "description": "Data from which figures and table in \"A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources\" were constructed. \n\nThis dataset is associated with the following publication:\nLi, L., J. Westgate, L. Hughes, X. Zhang, B. Givehchi, L. Toose, J. Armitage, F. Wania, P. Egeghy, and J. Arnot. A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(24): 14235-14244, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503107",
      "keyword": [
        "Human Exposure Assessment",
        "Dermal Permeation",
        "Quantitative Structure-Activity Relationship",
        "Skin Permeability Coefficient",
        "Permeation Database",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "Peter Egeghy",
        "hasEmail": "mailto:egeghy.peter@epa.gov"
      },
      "distribution": [
        {
          "title": "Results_summary_for_RAIDAR_ ICE_paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503107/Results_summary_for_RAIDAR_%20ICE_paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-25",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04059",
        "https://pubs.acs.org/doi/suppl/10.1021/acs.est.8b04059/suppl_file/es8b04059_si_001.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Files for 2019 manuscript \"Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6\" published in Atmospheric Environment, Vol. 201, Pages 62-72",
      "description": "Model output used to generate figures 1-8, demonstrating differences between three different versions of Carbon Bond mechanisms and performance of the model against observed data. \n\nThis dataset is associated with the following publication:\nLuecken, D., G. Yarwood, and B. Hutzell. Multipollutant modeling of ozone, reactive nitrogen and HAPs across the continental US with CMAQ-CB6.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 201: 62-72, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1409825",
      "keyword": [
        "Ozone",
        "Chemical mechanisms",
        "CMAQ",
        "CB6"
      ],
      "contactPoint": {
        "fn": "Deborah Luecken",
        "hasEmail": "mailto:luecken.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig6.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig6.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig4.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig1.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig1.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig5.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig5.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig7.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig7.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig8.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409825/Fig8.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-08",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2018.11.060"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Total Deposition of Nitrogen and Sulfur from Measurement-Model Fusion for 2010",
      "description": "Deposition values for the continguous United States are developed from a measurement-model fusion approach that used data from the Community Multiscale Air Quality Model and the Clean Air Status and Trends Network. \n\nThis dataset is associated with the following publication:\nSchwede, D., A. Cole, R. Vet, and G. Lear. Ongoing U.S.-Canada Collaboration on Nitrogen and Sulfur Deposition.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  June, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503726",
      "keyword": [
        "US-Canada Air quality Agreement",
        "Total Deposition",
        "acid rain",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Donna Schwede",
        "hasEmail": "mailto:schwede.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/castnet/tdep",
          "accessURL": "https://gaftp.epa.gov/castnet/tdep",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MulticyclicAromaticHydrocarbons rtER Vtg_Kolanczyk_A-bzkz_DataSet 20180828",
      "description": "A representative group of multicyclic aromatic hydrocarbons (MAHC) which can be further classified as bridged-ring (bridged-MAHC) or fused-ring (fused-MAHC) were examined for their ability to interact with the estrogen receptor of rainbow trout (rtER) in a hepatic cytosolic estrogen receptor competitive binding assay (cyto rtERαβ) and the vitellogenin (Vtg) mRNA gene activation liver slice assay. All five fused-MAHCs; naphthalene (NAFT), fluorene (FE), Fluoranthene (FAT), pyrene (PY), and 9,10-dihydroanthracene (DAC) had no estrogenic activity in the in vitro assays used. Five of the eight bridged-MAHCs; triphenylethylene (3PE), o-terphenyl (OTP), triphenylmethane (TPM), 1,1-diphenylethylene (DPE), and cis-stilbene (CSB) were estrogenic in these assays. The additional three bridged-MAHC’s; trans-stilbene (TSB), tetraphenylethylene (4PE), and 4,4-di-tertbutylphenyl (DtBB) were determined to be non-binders due to isomeric configuration, solubility limitation, and possible steric hinderance. This first report of the rtER-binding of bridged-MAHCs in fish demonstrates binding for a class of chemicals normally not thought of as having an affinity for the estrogen receptor and further supports the versatility or promiscuity of ER ligand selectivity. \n\nThis dataset is associated with the following publication:\nKolanczyk, R., J. Denny, B. Sheedy, P. Schmieder, and M. Tapper. Estrogenic activity of multicyclic aromatic hydrocarbons in rainbow trout (Oncorhynchus mykiss) in vitro assays.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 207: 43-51, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502594",
      "keyword": [
        "rainbow trout",
        "endocrine disruptor",
        "estrogen receptor",
        "vitellogenin gene expression",
        "multicyclic aromatic hydrocarbons",
        "In vitro assay"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Multicyclic Hydrocarbons rtER binding Vtg_Kolanczyk_data set_2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502594/Multicyclic%20Hydrocarbons%20rtER%20binding%20Vtg_Kolanczyk_data%20set_2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-18",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2018.11.023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "R5 Scale Project Pipe Scale Mineralogy",
      "description": "The dataset contains reviewed and collected data for:  lead profile sampling at different sites and systems; figures classifying observed scale mineralogy; comparisons of adjusted first-draw concentrations compared to LSL sample concentrations, and some maps of interior plumbing to accompany the lead profile sampling. \n\nThis dataset is associated with the following publication:\nTully, J., M. DeSantis, and M. Schock. Water quality-pipe deposit relationships in Midwestern lead pipes.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 1(2): 1-18, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500882",
      "keyword": [
        "drinking water distribution systems",
        "lead copper rule",
        "lead corrosion",
        "water pipes",
        "corrosion scale mineralogy/morphology",
        "Orthophosphate",
        "Blended phosphate",
        "polyphosphate"
      ],
      "contactPoint": {
        "fn": "Michael Schock",
        "hasEmail": "mailto:schock.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "PipeScaleMineralogy_R5_RARE_180515.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500882/PipeScaleMineralogy_R5_RARE_180515.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-22",
      "references": [
        "https://doi.org/10.1002/aws2.1127",
        "https://pasteur.epa.gov/uploads/10.23719/1500882/documents/MINEQLvsLEADSOL_181217.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1500882/documents/Table_SI1_equilibrium_constants.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Epigenetic effects of ozone in the rodent lung",
      "description": "Pulmonary gene expression related to the regulation of DNA methylation following an exposure to ozone in rats. Epigenetic regulation of a pulmonary hypertensive gene, apelin, was also quantified. \n\nThis dataset is associated with the following publication:\nMiller, C., J. Dye, M. Schladweiler, J. Richards, A. Ledbetter, E. Stewart, and U. Kodavanti. Acute inhalation of ozone induces DNA methylation of apelin in lungs of Long-Evans rats..   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(4): 178-186, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1374199",
      "keyword": [
        "Ozone",
        "lung injury",
        "epigenetics"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "Ozone and Apelin CMiller.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1374199/Ozone%20and%20Apelin%20CMiller.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-31",
      "references": [
        "https://doi.org/10.1080/08958378.2018.1483984"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Life Cycle Assessment of a Rainwater Harvesting System Compared with AC Condensate Water System",
      "description": "Life Cycle Assessment Material, Cost and Impact Data for Comparison of a Rainwater Harvesting System, Municipal Water Supply and an AC Condensate Harvesting System. \n\nThis dataset is associated with the following publication:\nGhimire, S., J. Johnston, J. Garland, A. Edelen, C. Ma, and M. Jahne. Life cycle assessment of a rainwater harvesting system compared with an AC condensate harvesting system.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 146: 536-548, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503301",
      "keyword": [
        "AC Condensate Harvesting",
        "life cycle assessment",
        "Commercial rainwater harvesting",
        "Municipal water supply",
        "Energy intensity"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "AC Condensate rate using HUMIDITY RATIO 10.2.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/AC%20Condensate%20rate%20using%20HUMIDITY%20RATIO%2010.2.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 5 Baseline RWH SF Major components analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/Fig.%205%20Baseline%20RWH%20SF%20Major%20components%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCA data RWH & ACH systems.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/LCA%20data%20RWH%20%26%20ACH%20systems.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RWH & CONDENSATE SCENARIOS, US Bldgs. 10.1.2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/RWH%20%26%20CONDENSATE%20SCENARIOS%2C%20US%20Bldgs.%2010.1.2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "San Francisco Precip and Temp data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/San%20Francisco%20Precip%20and%20Temp%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "San Fransisco Precip. data 2.4.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/San%20Fransisco%20Precip.%20data%202.4.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SENSITIVITY ANALYSIS RWH ACH DESIGNS 9.28.2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/SENSITIVITY%20ANALYSIS%20RWH%20ACH%20DESIGNS%209.28.2018.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1 baseline SF RWH LCI  calc.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503301/Table%201%20baseline%20SF%20RWH%20LCI%20%20calc.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-29",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2019.01.043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "PM2.5 and Nitrogen Dioxide Concentrations in Penuelas, Puerto Rico",
      "description": "Continuous measurements of PM2.5 and nitrogen dioxide using low cost sensors and citizen science. \n\nThis dataset is associated with the following publication:\nReece, S., R. Williams, M. Colon, D. Southgate, E. Huertas, M. OShea, A. Iglesias, and P. Sheridan. Spatial-Temporal Analysis of PM2.5 and NO2 Concentrations Collected Using Low-Cost Sensors in Peñuelas, Puerto Rico.   Sensors. MDPI AG, Basel,  SWITZERLAND, 18(12): 4314, (2018).",
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1503096",
      "keyword": [
        "low cost sensor",
        "sensor performance",
        "citizen science",
        "nitrogen dioxide",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "Puerto_Rico_Temporal_Spatial_Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503096/Puerto_Rico_Temporal_Spatial_Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Puerto_Rico_Temporal_Spatial_Database_Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503096/Puerto_Rico_Temporal_Spatial_Database_Dictionary.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-05",
      "references": [
        "https://doi.org/10.3390/s18124314"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
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      },
      "accessRights": "public"
    },
    {
      "title": "CNT Quantification",
      "description": "Relationships of temperature and CNT mass (SWCNT, MWCNT, MWCNT-COOH) were developed for three environmental matrices (sand, soil and sludge) spiked with known amounts of different types of CNTs that were then irradiated in a microwave at low energies (70-149 W) for a short time (15-30 sec). Temperature rises data were recorded for CNT loaded environmental samples with excess of inorganic/organic carbon and other carbonaceous nanomaterials (C60, GAC and GO). \n\nThis dataset is associated with the following publication:\nHe, Y., S. Al-Abed, P. Potter, and D. Dionysios. Rapid and versatile pre-treatment for quantification of multi-walled carbon nanotubes in the environment using microwave-induced heating.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 26(14): 13999-14012, (2019).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
        "020:095"
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      "identifier": "https://doi.org/10.23719/10000",
      "keyword": [
        "Microwave quantification",
        "MWCNTs",
        "Aggregation",
        "Environmental sample",
        "Pre-treatment"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/InitialMicrowaveTest%20-%20Copy%20-%20Copy.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/InitialMicrowaveTest%20-%20Copy%20%282%29.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWaveTemperatureCalibration5-12-2015 - Copy - Copy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/MWaveTemperatureCalibration5-12-2015%20-%20Copy%20-%20Copy.xlsx",
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        {
          "title": "DataPlot - Copy - Copy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/DataPlot%20-%20Copy%20-%20Copy.xlsx",
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        },
        {
          "title": "MWaveTemperatureCalibration5-12-2015 - Copy (2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/MWaveTemperatureCalibration5-12-2015%20-%20Copy%20%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DryMix MWCNTSand - Copy (2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/DryMix%20MWCNTSand%20-%20Copy%20%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT-COOH Stock 032015 - Copy - Copy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/10000/MWCNT-COOH%20Stock%20032015%20-%20Copy%20-%20Copy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-08",
      "references": [
        "https://doi.org/10.1007/s11356-019-04229-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/10000/documents/Data%20Dictionary.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Cyanobacterial nitrogen fixation and phosphorus scavenging during a HAB forming",
      "description": "Sequence data retrieved from RNA sequences for primer design. \n\nThis dataset is associated with the following publication:\nLu, J., B. Zhu, I. Stuewing, N. Xu, and S. Duan. Nitrogen–phosphorus-associated metabolic activities during the development of a cyanobacterial bloom revealed by metatranscriptomics.   Scientific Reports. Nature Publishing Group, London,  UK, 9: 2480, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502489",
      "keyword": [
        "cyanobacteria",
        "Nitrogen fixation",
        "Phosphorus scavenging",
        "Metatranscriptomics",
        "harmful algal bloom",
        "nitrogen",
        "phosphorus"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "dataset_RNAseq (version 2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502489/dataset_RNAseq%20%28version%202%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-10",
      "references": [
        "https://doi.org/10.1038/s41598-019-38481-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for targeted and non-targeted analysis of firefighter breath samples",
      "description": "This dataset includes a list of chemicals used to create the ChromGenius retention time prediction model used for validation of non-targeted compounds. The list of identified non-targeted compounds in the samples is also provided. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: By viewing the analyzed spreadsheets attached to the Journal Article. Format: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed data can be made publicly available. \n\nThis dataset is associated with the following publication:\nWallace, A., J. Pleil, K. Oliver, D. Whitaker, S. Mentese, K. Fent, and G. Horn. Non-targeted GC/MS analysis of exhaled breath samples: Exploring human biomarkers of exogenous exposure and endogenous response from professional firefighting activity.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(4): 244-260, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1424215",
      "keyword": [
        "automated thermal desorption atd gas",
        "chromatography-mass spectrometry gc ms",
        "targeted and non-targeted analysis",
        "volatile organic compounds voc"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2018-02-13",
      "references": [
        "https://doi.org/10.1080/15287394.2019.1587901"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "modelsci_hum21.xlxs",
      "description": "Data is in an excel spread sheet, tabbed by figure and table.  Only change is description tab. \n\nThis dataset is associated with the following publication:\nWare, M., and E. Villegas. Propagation of Giardia duodenalis cysts in immunosuppressed CF-1 mice.   Veterinary Parasitology. Elsevier, Shannon,  IRELAND, 268: 32-35, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502540",
      "keyword": [
        "giardia",
        "immunosuppressed mouse",
        "propagation",
        "Method 1623.1"
      ],
      "contactPoint": {
        "fn": "Michael Ware",
        "hasEmail": "mailto:ware.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "model_hum21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502540/model_hum21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-06",
      "references": [
        "https://doi.org/10.1016/j.vetpar.2019.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DailyRegionalLNOxEmissions05_2018",
      "description": "This dataset contains WRF/CMAQ model output in IOAPI format and Excel file to analyze the NOx emissions budget by month and region. \n\nThis dataset is associated with the following publication:\nKang, D., and K. Pickering. Lightning NOx Emissions and the Implications for Surface Air Quality over the Contiguous United States.   EM:  AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, USA,  1-6, (2018).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1502460",
      "keyword": [
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        "Ozone",
        "air quality",
        "NOx emissions"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "DailyRegionEmisions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502460/DailyRegionEmisions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "model_output_201107.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502460/model_output_201107.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NLDN_Impact_20110701.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502460/NLDN_Impact_20110701.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502460/DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gas-Phase Detection of Fluorotelomer Alcohols and Other Oxygenated PFAS by Chemical Ionization Mass Spectrometry _V1",
      "description": "CIMS calibration curves for the FTOHs and other PFAS for which standards were available. PFOA signals during calibrations and sampling. CIMS unit mass resolution difference mass spectrum for one commercial sample. Molecular composition assignment isotopic distributions. and a. \n\nThis dataset is associated with the following publication:\nRiedel, T., J. Lang, M. Strynar, A. Lindstrom, and J. Offenberg. Gas-Phase Detection of Fluorotelomer Alcohols and Other Oxygenated Per- and Polyfluoroalkyl Substances by Chemical Ionization Mass Spectrometry.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 6(5): 289-293, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503079",
      "keyword": [
        "gas-phase",
        "CIMS",
        "PFAS",
        "measurements"
      ],
      "contactPoint": {
        "fn": "Theran Riedel",
        "hasEmail": "mailto:riedel.theran@epa.gov"
      },
      "distribution": [
        {
          "title": "Riedel_PFASdetection_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503079/Riedel_PFASdetection_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Riedel_PFASdetection_ScienceHub_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503079/Riedel_PFASdetection_ScienceHub_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-07",
      "references": [
        "https://doi.org/10.1021/acs.estlett.9b00196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Peat Smoke_High Fat_All data_Feb2018.xlsx",
      "description": "The data set is an excel spreadsheet containing all the raw data used to generate the tables and figures in the manuscript. \n\nThis dataset is associated with the following publication:\nMartin, B., L. Thompson, Y. Kim, W. Williams, S. Snow, M. Schladweiler, P. Phillips, C. King, J. Richards, N. Coates, M. Higuchi, I. Gilmour, U. Kodavanti, M. Hazari, and A. Farraj. Acute Peat Smoke Inhalation Sensitizes Rats to the Postprandial Cardiometabolic Effects of a High Fat Oral Load.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 643: 378-391, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1420062",
      "keyword": [
        "air pollution",
        "biomass",
        "peat",
        "smoke",
        "cardiovascular",
        "metabolic",
        "pulmonary",
        "immune",
        "Rats",
        "postprandial",
        "High Fat",
        "ultrasound",
        "flow cytometry",
        "Wildland Fire"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Peat Smoke_High Fat_All data_Feb2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420062/Peat%20Smoke_High%20Fat_All%20data_Feb2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.06.089"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urban Greenery and Body Mass Index",
      "description": "The datasets include individual-level BMI in Phoenix, AZ and Portland, OR obtained from the state DMVs, greenery along walkable roads within 500, 1000, 1500, and 2000 network buffers, and covariates. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: EnviroAtlas data can be assessed through https://www.epa.gov/enviroatlas\nIndividual-level residential location and body mass index can be requested from state DMVs.\nNavteq street data can be assessed through EPA internal network by EPA Region. Format: Data used in this study include:\n1) EnviroAtlas 1m landcover data (Raster)\n2) EnviroAtlas metrics related to street greenery (Raster)\n3) Boundaries of neighborhood extents (buffers) (Vector, polygon)\n4) Navteq street dataset (Vector, polyline)\n5) Individual residential addresses (CSV) and its geocoded points (Vector, point)\n6) Individual-level body mass index (CSV)\n7) EnviroAtlas Intersection Density of Walkable Roads (Raster)\n8) EnviroAtlas Distance to a Park Entrance (Raster)\n9) EnviroAtlas Percent Population below the Adjusted Threshold for Quality of Life (CSV)\n10) EnviroAtlas Percent Population with Income Twice below the Poverty Level (CSV)\n11) EnviroAtlas Percent Non-White Population (CSV)\n12) Age and Sex. \n\nThis dataset is associated with the following publication:\nTsai, W., A.S. Davis, and L.E. Jackson. Associations between types of greenery along neighborhood roads and weight status in different climates.   Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam,  NETHERLANDS, 41: 104-107, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503049",
      "keyword": [
        "Street greenery",
        "obesity",
        "eco-health",
        "Urban green space",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "Wei-Lun Tsai",
        "hasEmail": "mailto:tsai.wei-lun@epa.gov"
      },
      "distribution": [],
      "modified": "2018-09-20",
      "references": [
        "https://doi.org/10.1016/j.ufug.2019.03.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bunker Hill Superfund Site (BHSS) soil and dust ingestion",
      "description": "Longitudinal environmental Pb concentration data, children's blood Pb levels, bioavailability information and estimated soil and dust ingestion rates by age for children exposed to Pb at the BHSS. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Through a request to TerraGraphics. Format: Longitudinal environmental Pb concentration data, children's blood Pb levels, bioavailability information and estimated soil and dust ingestion rates by age for children exposed to Pb at the BHSS. \n\nThis dataset is associated with the following publication:\nvon Lindern, I., M. Stifelman , L. Stanek , and C. Bartrem. Estimating Children’s Soil/Dust Ingestion Rates through Retrospective Analyses of Blood Lead Biomonitoring from the Bunker Hill Superfund Site in Idaho.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124: 1462–1470, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502563",
      "keyword": [
        "lead",
        "Pb",
        "children",
        "ingestion",
        "soil ingestion rates",
        "blood lead",
        "bunker hill superfund site",
        "dust ingestion rates"
      ],
      "contactPoint": {
        "fn": "Lindsay Stanek",
        "hasEmail": "mailto:stanek.lindsay@epa.gov"
      },
      "distribution": [],
      "modified": "2015-12-31",
      "references": [
        "https://doi.org/10.1289/ehp.1510144"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IN UTERO EFFECTS OF ORAL SIMVASTATIN ON THE CRSD RAT DAM, DETUS AND OFFSPRING LATER IN LIFE",
      "description": "DATA FROM THE MANUSCRIPT BY BEVERLY ET AL 2019 FOR ALL TABLES AND FIGURES. \n\nThis dataset is associated with the following publication:\nBeverly, B., J. Furr , C. Lambright , V. Wilson , B. MCINTYRE, P. FOSTER, G. TRAVLOS, and E. Gray. In utero exposure to Simvastatin reduces postnatal survival and permanently alters reproductive tract development in the CRL:CD(SD) male rat.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA,  112-123, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503849",
      "keyword": [
        "in utero effects on reproductive development",
        "pharmaceuticals",
        "reproductive development"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "BEVERLY SIM 2019 SCIENCE HUB DATA SET.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503849/BEVERLY%20SIM%202019%20SCIENCE%20HUB%20DATA%20SET.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-17",
      "references": [
        "https://doi.org/10.1016/j.taap.2019.01.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non Targeted MS1 Features from the analysis of water extracts from the Cape Fear River in May 2017",
      "description": "Application of non-targeted screening to the Cape Fear River of North Carolina in 2016-2018 detailing a location impacted by fluorochemical manufacturing. Dataset contains raw picked peaks from chromatographic separation and MS1 identification, as well as identification based on manual examination of MS2 fragment spectra. Tentative structural identifiers are provided. \n\nThis dataset is associated with the following publication:\nMcCord, J., and M. Strynar. Identification of Per- and Polyfluoroalkyl Substances in the Cape Fear River by High Resolution Mass Spectrometry and Nontargeted Screening.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(9): 4717-4727, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500436",
      "keyword": [
        "GenX",
        "HFPO-DA",
        "Polyfluorinated Alkyl Substances (PFAS)",
        "perfluorinated ether",
        "Cape Fear River",
        "non-targeted analysis (NTA)"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Table 2_Assigned Chemical Species.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500436/Supplemental%20Table%202_Assigned%20Chemical%20Species.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table 1_All Chemical Features.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500436/Supplemental%20Table%201_All%20Chemical%20Features.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-20",
      "references": [
        "https://doi.org/10.1021/acs.est.8b06017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Screening an alternative flame retardant using biological and transcriptomic endpoints in fish embryos ",
      "description": "GEO accession information for omics RNA-seq data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE116393. Format: GEO accession information for omics RNA-seq data. \n\nThis dataset is associated with the following publication:\nHuang, W., D. Bencic, R. Flick, D. Nacci, B. Clark, L. Burkhard, T. Lahren, and A. Biales. Characterization of the Fundulus heteroclitus embryo transcriptional response and development of a gene expression-based fingerprint of exposure for the alternative flame retardant, TBPH (bis (2-ethylhexyl)-tetrabromophthalate).   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 247: 696-705, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502470",
      "keyword": [
        "fundulus",
        "gene expression",
        "TBPH",
        "AHR",
        "Omics biomarker"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [],
      "modified": "2018-06-26",
      "references": [
        "https://doi.org/10.1016/j.envpol.2019.01.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ShahSanjivkumar_HS7-53-05-2229_Data-Metadata_Ypestis RVPCR Method_Manuscript",
      "description": "This data set is for a submission of a manuscript to a peer-reviewed journal. A Rapid Viability Polymerase Chain Reaction (RV-PCR) method for detection of Yersinia pestis in water samples was developed under a research project. An final internal report for this work was cleared in the STICS in 2016. This manuscript contains a subset of data from the final report. \n\nThis dataset is associated with the following publication:\nShah, S., S. Kane, T. Alfaro, and A.M. Erler. Development of a Rapid Viability Polymerase Chain Reaction Method for Detection of Yersinia pestis in Water.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 162: 21-27, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1421431",
      "keyword": [
        "Yersinia pestis",
        "detection",
        "rapid viability",
        "PCR",
        "water contamination",
        "bioterrorism",
        "plague"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "ShahSanjivkumar_HS7-53-05-2229_Data-Metadata_Ypestis RVPCR Method_Manuscript_20181113.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1421431/ShahSanjivkumar_HS7-53-05-2229_Data-Metadata_Ypestis%20RVPCR%20Method_Manuscript_20181113.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-21",
      "references": [
        "https://doi.org/10.1016/j.mimet.2019.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse maternal, fetal, and neonatal effects of GenX from oral gestational exposure in Sprague Dawley rats Dataset",
      "description": "Dataset contains summary data (mean, standard error, sample size (n)) for all measured endpoints reported and depicted in the corresponding manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, M. Strynar, J. McCord, B. McIntyre, G. Travlos, M. Cardon, E. MedlockKakaley, P. Hartig, V. Wilson, and E. Gray. Adverse maternal, fetal, and postnatal effects of Hexafluoropropylene oxide dimer acid (GenX) from oral gestational exposure in Sprague Dawley rats.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA,  1-13, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1501472",
      "keyword": [
        "PFAS",
        "Developmental Toxicity",
        "perfluorinated chemicals",
        "GenX",
        "in utero effects on reproductive development"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "GrayLeon_A-vdp5_Dataset_20190517.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1501472/GrayLeon_A-vdp5_Dataset_20190517.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-17",
      "references": [
        "https://doi.org/10.1289/ehp4372"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1501472/documents/GrayLeon_A-vdp5_Dataset_Dictionary_20190517.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "excell file with metadata sheet and data from the PFQ and BPC paper",
      "description": "this file has the metadata sheet and the data used for the figures and tables in the PFQ vs BPC manuscript. \n\nThis dataset is associated with the following publication:\nGray, E., J. Furr, J. Conley, C. Lambright, N. Evans, M. Cardon, V. Wilson, P. Foster, and P. Hartig. A Conflicted Tale of Two Novel AR Antagonists In vitro and In vivo: Pyrifluquinazon versus Bisphenol C..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,   632-643, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502615",
      "keyword": [
        "pesticides",
        "bisphenols",
        "antiandrogenicity",
        "in vitro to in vivo extrapoaltion (IVIVE)",
        "in utero",
        "male sexual differentiation",
        "reproductive tract malformations and abnormalities"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "SCIENCE HUB DATA FILE FOR PFQ BPC PAPER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502615/SCIENCE%20HUB%20DATA%20FILE%20FOR%20PFQ%20BPC%20PAPER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-17",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Output of 18S metabarcoding analysis of grab samples collected from Lake Harsha in 2015 (OTU reads over time and space).",
      "description": "Data associated with the Hydrobiologia article titled \"Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding.\" They include the number of reads and assigned taxonomies for each observational taxonomic unit (OTU) within each sampling date and location. \n\nThis dataset is associated with the following publication:\nBanerji, A., M. Bagley, M. Elk, E. Pilgrim, J. Martinson, and J. Santodomingo. Spatial and temporal dynamics of a freshwater eukaryotic plankton community revealed via 18S rRNA gene metabarcoding.   HYDROBIOLOGIA. Springer, New York, NY, USA, 818(1): 71-86, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1425375",
      "keyword": [
        "DNA metabarcoding",
        "freshwater lake",
        "multipurpose reservoir",
        "trophic interaction",
        "ecological community",
        "ecological indicator",
        "harmful algal bloom",
        "plankton",
        "zooplankton",
        "phytoplankton",
        "cyanobacteria",
        "eukaryotes",
        "18S rRNA gene"
      ],
      "contactPoint": {
        "fn": "Aabir Banerji",
        "hasEmail": "mailto:banerji.aabir@epa.gov"
      },
      "distribution": [
        {
          "title": "LH_2015_18S_t.series.L.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1425375/LH_2015_18S_t.series.L.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1007/s10750-018-3593-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1425375/documents/Variable%20List%20for%20LH_2015_18S_t.series.L.csv.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: proportional-hazards models of over 1,000,000 people over 14 years",
      "description": "The USRDS is the largest and most comprehensive national ESRD surveillance system in the US (Collins et al., 2015). The USRDS contains data on all ESRD cases in the US through the Medical Evidence Report CMS-2728 which is mandated for all new patients diagnosed with ESRD (Foley and Collins, 2013). Detailed information about the USRDS can be found on their website (http://www.usrds.org). \n\nThe EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. \nEQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data stored as csv files. \n\nThis dataset is associated with the following publication:\nKosnik, M., D. Reif, D. Lobdell, T. Astell-Burt, X. Feng, J. Hader, and J. Hoppin. Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: Proportional-hazards models of over 1,000,000 people over 14 years.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(3): e0214094, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503075",
      "keyword": [
        "survival",
        "renal disease",
        "environmental quality",
        "hospitals",
        "Aggregate exposure",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2013-07-22",
      "references": [
        "https://doi.org/10.1371/journal.pone.0214094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multivariate Calibration for Carbon Nanotubes in the Environment Using the Microwave Induced Heating Method",
      "description": "The data set contains the details on the microwave calibrations for carbon nanotubes, the variance predictors and responses by the components applying partial least square regression. Also contains a summary of the model fitness for carbon nanotubes quantification and its corresponding statistics.  The data set includes the quantification of CNTs in different matrices: soil and sludge. \n\nThis dataset is associated with the following publication:\nHe, Y., S. Al-Abed, and D. Dionysios. Multivariate calibration for carbon nanotubes in the environment using the microwave induced heating method.   Environmental Nanotechnology, Monitoring and Management. Elsevier B.V., Amsterdam,  NETHERLANDS, 11: 100204, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500029",
      "keyword": [
        "Nanoparticles",
        "carbon nanomaterials",
        "nanomaterials fate and transport",
        "carbon nanotubes properties"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/DetectionLimitSummary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/CNT%20catalog.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/042015%20WetMix%20SDBS%20MWCNT.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/052015%20WetMix%20CTAB%20%20MWCNT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/DataAnalysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/DifferentBrandCNT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataPlot.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/DataPlot.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DryMix MWCNTSand.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/DryMix%20MWCNTSand.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/HA%20TOC_WA16.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/InitialMicrowaveTest.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MultiRegression data 01292016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/MultiRegression%20data%2001292016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWaveTemperatureCalibration5-12-2015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/MWaveTemperatureCalibration5-12-2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MixtureData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/MixtureData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT-COOH Stock 032015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/MWCNT-COOH%20Stock%20032015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PureMWCNT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/PureMWCNT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Slope t-test.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/Slope%20t-test.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sludge.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/Sludge.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SludgeTest.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/SludgeTest.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SWCNT Stock032015.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/SWCNT%20Stock032015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test for reflector plate02032016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/Test%20for%20reflector%20plate02032016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SWCNT WetMix.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/SWCNT%20WetMix.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Soil.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/Soil.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WetMix CTAB  MWCNT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/WetMix%20CTAB%20%20MWCNT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WetMix SDBS MWCNT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/WetMix%20SDBS%20MWCNT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-12",
      "references": [
        "https://doi.org/10.1016/j.enmm.2018.100204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500029/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between environmental quality and infant mortality in the United States, 2000-2005",
      "description": "Infant mortality was defined as death before completion of first year of life [1]. We obtained linked birth and infant death data from the U.S. Centers for Disease Control and Prevention for the years 2000–2005, corresponding to the time frame covered by the EQI.\n\nThe EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nPatel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005.   Archives of Public Health. BioMed Central Ltd, London,  UK, 76(60): 1, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503871",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2013-07-22",
      "references": [
        "https://doi.org/10.1186/s13690-018-0306-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between environmental quality and adult asthma prevalence in medical claims data",
      "description": "The MarketScan health claims database is a compilation of nearly 110 million patient records with information from more than 100 private insurance carriers and large self-insuring companies. Public forms\nof insurance (i.e., Medicare and Medicaid) are not included, nor are small (< 100 employees) or medium (< 1000 employees) self-insuring companies. For this cross-sectional study, approved claims for the years\n2003–2013, which includes 17.5–45.2 million persons annually, are linked across years and geocoded at the county level. The dataset includes both inpatient and outpatient claims, medical procedures and\nprescription medications. In addition to diagnostic and pharmacy claims, records include patient's age (in years), county of residence, and sex. This dataset defines the population in which we are estimating\nassociations, specifically, U.S. adults aged 18–65 with private health insurance, primarily from large employers (those with>1000 employees). We excluded the relatively few (n=6735) individuals over\n65 years of age because Medicare is the primary insurance of U.S. adults over 65.\n\nThe EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nGray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 166: 529-536, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503872",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2013-07-22",
      "references": [
        "https://doi.org/10.1016/j.envres.2018.06.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Corteselli et al. JoVE Science Hub Data",
      "description": "Data corresponding to the figures in this article. \n\nThis dataset is associated with the following publication:\nCorteselli, E., J. Samet, and E. Gibbs-Flournoy. IMAGING APPROACHES TO ASSESSMENTS OF TOXICOLOGICAL OXIDATIVE STRESS USING GENETICALLY ENCODED FLUOROGENIC SENSORS.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 132: 56945, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503737",
      "keyword": [
        "Oxidant Stress",
        "live cell imaging",
        "methods",
        "confocal microscopy",
        "lung cells"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Corteselli Jove Science Hub data April 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503737/Corteselli%20Jove%20Science%20Hub%20data%20April%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-01",
      "references": [
        "https://doi.org/10.3791/56945"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "statistical models of fecal coliform levels",
      "description": "fecal coliform data from the Oregon Dept. of Agriculture from 01/2006-12/2015 collected in Tillamook Bay, OR. This dataset is not publicly accessible because: This data is Oregon Dept. of Agriculture data and not EPA-generated data. It can be accessed through the following means: independent variables used in the model are available on public websites - summarized in table 1 of the paper and associated text. Format: This is Oregon Department of Agriculture data. It is not available to provide a link or file. \n\nThis dataset is associated with the following publication:\nZimmer-Faust, A., C. Brown, and A. Manderson. Statistical models of fecal coliform levels in Pacific Northwest estuaries for improved shellfish harvest area closure decision making.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 137: 360-369, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503870",
      "keyword": [
        "eutrophication",
        "seagrass",
        "macroalgae",
        "nutrients",
        "temperature",
        "Zostera marina",
        "Zostera japonica",
        "nutrient pollution index",
        "wasting disease"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [],
      "modified": "2017-12-01",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2018.09.028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set",
      "description": "The data set contains information on the relative abundance of Cu species present for each geographical location and sampling location within the mesocosm. \n\nThis dataset is associated with the following publication:\nShah, V., T.P. Luxton, V.K. Walker, T. Brumfield, J. Yost, S. Shah, J.E. Wilkinson, and M. Kambhampati. Fate and Impact of Zero-Valent Copper Nanoparticles on Geographically-Distinct Soils.  D.Barcelo Culleres, and Jay Gan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 573: 661-670, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503461",
      "keyword": [
        "copper nanoparticles",
        "environmental impact",
        "transport",
        "Speciation",
        "nanomaterials"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503461/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.08.114"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Risk Analysis 2017 paper Changsy et al",
      "description": "data and model results to create figure and tables in Changsy et al 2017 Risk Analysis paper. \n\nThis dataset is associated with the following publication:\nChang, S.Y., W. Vizuete, M. Serre, L. Pradeepa Vennam, M. Omary, V. Isakov, M. Breen, and S. Arunachalam. Finely Resolved On‐Road PM2.5 and Estimated Premature Mortality in Central North Carolina.   RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 37(12): 2420-2434, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390113",
      "keyword": [
        "Mobile sources",
        "dispersion modeling",
        "air pollution",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "Changsy2017RiskAnalysis_Datasets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390113/Changsy2017RiskAnalysis_Datasets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-26",
      "references": [
        "https://doi.org/10.1111/risa.12775"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in manuscript",
      "description": "The data was used to construct figures used in the manuscript. \n\nThis dataset is associated with the following publication:\nChen, A., L. Wang, D. Lytle, and T. Sorg. Arsenic/Iron Removal from Groundwater with Elevated Ammonia and Natural Organic Matter.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(3): E2-E17, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1398769",
      "keyword": [
        "arsenic",
        "ammonia",
        "natural organic matter",
        "iron removal",
        "ground water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Waynesville paper_Figures 3 to 8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1398769/Waynesville%20paper_Figures%203%20to%208.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.5942/jawwa.2018.110.0020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NHDPlusV2_Catchment_RBI_data",
      "description": "Table of RBI metrics aggregated to each catchment. \n\nThis dataset is associated with the following publication:\nBousquin, J., and H. Kristen. A Geospatial Assessment of Flood Vulnerability Reduction by Freshwater Wetlands – A Benefit Indicators Approach.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 7: 54, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503669",
      "keyword": [
        "resilience",
        "Benefit Indicators",
        "flooding",
        "wetlands",
        "geospatial analysis"
      ],
      "contactPoint": {
        "fn": "Justin Bousquin",
        "hasEmail": "mailto:bousquin.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "NHDPlusV2_Catchment_RBI_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503669/NHDPlusV2_Catchment_RBI_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-05",
      "references": [
        "https://doi.org/10.3389/fenvs.2019.00054"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503669/documents/NHDPlusV2_Catchment_RBI_data_data_table.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainable Chemistry Expert Framework Source Code",
      "description": "Link to Github repository containing the source code that can be used to build the Sustainable Chemistry Expert Framework tool. \n\nThis dataset is associated with the following publication:\nBarrett, W., S. Takkellapati, K. Tadele, T. Martin, and M. Gonzalez. Linking Molecular Structure via Functional Group to Chemical Literature for Establishing a Reaction Lineage for Application to Alternatives Assessment.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 7(8): 7630-7641, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503042",
      "keyword": [
        "sustainable chemistry",
        "life cycle inventory",
        "Functional Group",
        "cheminformatics"
      ],
      "contactPoint": {
        "fn": "William Barrett",
        "hasEmail": "mailto:barrett.williamm@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/sustainable-chemistry-synthesis-expert-framework",
          "accessURL": "https://github.com/USEPA/sustainable-chemistry-synthesis-expert-framework",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-27",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.8b05983"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for FIA P3 data on lichen",
      "description": "This data describe the abundance of individual lichen species across the U.S. as recorded in the Forest Health and Monitoring dataset of the Forest Inventory and Analysis program (i.e. Phase 3 plots). This dataset is not publicly accessible because: These data are already housed on the USFS Forest Inventory and Analysis site (see below). It can be accessed through the following means: The lichen data for this product are from the USDA Forest Services (USFS) Forest Inventory and Analysis (FIA) Phase 3 (P3) dataset - Forest Health and Monitoring. The metadata and database description for the FIA-P3 is here (https://www.fia.fs.fed.us/library/database-documentation/). The data itself is located at the USFS Data Mart here (https://apps.fs.usda.gov/fia/datamart/CSV/datamart_csv.html) in two files: “LICHEN_PLOT_SUMMARY.zip,” and “LICHEN_VISIT.zip.”\n\nPoint of contact: Linda Geiser, lgeiser@fs.fed.us. Format: The data are in .csv format.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503743",
      "keyword": [
        "critical loads",
        "atmospheric deposition",
        "nitrogen deposition",
        "sulfur deposition",
        "lichen",
        "biodiversity",
        "annual NAAQS"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vitro Ozone Responsiveness Data",
      "description": "Data collected during the comparison of ozone responsiveness in primary bronchial epithelial cells from a range of distinct donors. \n\nThis dataset is associated with the following publication:\nBowers, E., S. McCullough, D. Morgan, L. Dailey, and D. Diaz-Sanchez. ERK1/2 and p38 regulate inter-individual variability in ozone-mediated IL-8 gene expression in primary human bronchial epithelial cells.   Scientific Reports. Nature Publishing Group, London,  UK, 8(1): 9398, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407623",
      "keyword": [
        "air pollution",
        "signaling pathways",
        "inter-indivudal variability",
        "inflammation",
        "epigenetics"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
      "distribution": [
        {
          "title": "2017 - Ozone Responsiveness Paper Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407623/2017%20-%20Ozone%20Responsiveness%20Paper%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-12",
      "references": [
        "https://doi.org/10.1038/s41598-018-27662-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Inactivation rates of enteroviruses by UVC-LEDs",
      "description": "There are three types of dataset.\n1. Main results (file name is 'UV-LED_Enteroviruses'): this file contains raw data and figures used for the manuscript.\n2. Statistical analyses (three files. file names begin with Enteroviruses-): these files contain the results of statistical analyses used for this study.\n3. UV-dose calculation (three files. file names begin with numbers such as 260 280, 260 and 280): these files include the entire calculation procedures for estimating UV doses. \n\nThis dataset is associated with the following publication:\nWoo, H., S. Beck, L. Boczek, K. Carlson, N. Brinkman, K. Linden, O. Lawal, S. Hayes, and H. Ryu. Efficacy of Inactivation of Human Enteroviruses by Dual-Wavelength germicidal ultraviolet (UV-C) light emitting diodes (LEDs).   WATER. MDPI AG, Basel,  SWITZERLAND, 11(6): 1131, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502575",
      "keyword": [
        "ultraviolet disinfection",
        "dual-wavelength",
        "UV-C LEDs",
        "human enteroviruses",
        "viral inactivation efficacy",
        "synergy"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Enteroviruses-ANOVA-virus.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/Enteroviruses-ANOVA-virus.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Enteroviruses-t-test.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/Enteroviruses-t-test.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Enteroviruses-ANOVA-wavelength.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/Enteroviruses-ANOVA-wavelength.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UV-LED_Enteroviruses.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/UV-LED_Enteroviruses.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Absorbance Enterovirus Mix 030915.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/Absorbance%20Enterovirus%20Mix%20030915.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "260 280 UVinaire Dose Calculator Enterovirus work 030915.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/260%20280%20UVinaire%20Dose%20Calculator%20Enterovirus%20work%20030915.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "280 UVinaire Dose Calculator Enterovirus work 030915.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/280%20UVinaire%20Dose%20Calculator%20Enterovirus%20work%20030915.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "260 UVinaire Dose Calculator Enterovirus work 030915.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502575/260%20UVinaire%20Dose%20Calculator%20Enterovirus%20work%20030915.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-09",
      "references": [
        "https://doi.org/10.3390/w11061131"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for biofilm samples and their DNA concentrations",
      "description": "The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. \n\nThis dataset is associated with the following publication:\nLi, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503043",
      "keyword": [
        "Algal organic matter",
        "Humic substance",
        "Biofilm development",
        "Physical and community structure",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "#sequnecing sample list&DNA concentration result.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503043/%23sequnecing%20sample%20list%26DNA%20concentration%20result.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-21",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.04.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Generalised Read-Across (GenRA) refinements",
      "description": "These new analysis builds on the baseline GenRA approach and presents a proof of concept of how other contexts of similarity namely physchem can be implemented into a search strategy for identification of analogues and how this impacts performance of read-across. Chemicals Involved: Same ToxRef dataset as used in the original GenRA manuscript. \n\nThis dataset is associated with the following publication:\nHelman, G., I. Shah, and G. Patlewicz. Extending the Generalised Read-Across approach (GenRA): A systematic analysis of the impact of physicochemical property information on read-across performance.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 8: 34-50, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503179",
      "keyword": [
        "Read-across",
        "generalised read-across",
        "GenRA",
        "physiochemical parameters",
        "ToxCast",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/Extending_the_Generalised_Read-Across_approach_(GenRA)_A_systematic_analysis_of_the_impact_of_physicochemical_property_information_on_read-across_performance/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/Extending_the_Generalised_Read-Across_approach_(GenRA)_A_systematic_analysis_of_the_impact_of_physicochemical_property_information_on_read-across_performance/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-01",
      "references": [
        "https://doi.org/10.1016/j.comtox.2018.07.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of Threshold of Toxicological Concern (TTC) with High Throughput Exposure Predictions (HTE) as a Risk-Based Screening Approach to Prioritize More Than Seven Thousand Chemicals",
      "description": "The dataset that was evaluated in this approach was taken from Wambaugh et al [29] who filtered the Tox21 library to reflect substances with similar uses to those in NHANES.\n\nThe zip file contains the supplementary information being provided for the re-analysis performed in this dataset. \nThere was no specific code as such developed for the analysis aside from using KNIME to help combine different outputs from different tools including Leadscope in order to arrive at the counts reflected in Table 2 of the manuscript. \nInstead of this very laborious approach, we re-did the analysis using Toxtree alone and streamlined the processing of the outcomes with R. This is documented in the supplementary information file. \n\nList of files:\n\nSMARTS Toxtree schemes use to identify carbamates, OPs and steroids\nCarbamates.tml\nOPs.tml\nSteroids.tml\n\nR code used to manipulate the various outputs derived from processing the associated sdf through the Kroes, specific Toxtree schemes and Cramer scheme within Toxtree\nTTC_HTTK.R\n\nR data file\nHTTK_TTC_070218.RData\n\nsdf file used in the analysis\nHTTK_7K_mod_kekule.sdf. \n\nThis dataset is associated with the following publication:\nPatlewicz, G., J. Wambaugh, S. Felter, T. Simon, and R. Becker. Utilizing Threshold of Toxicological Concern (TTC) with High Throughput Exposure Predictions (HTE) as a Risk-Based Prioritization Approach for thousands of chemicals.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 7: 58-67, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503180",
      "keyword": [
        "Threshold of Toxicological Concern (TTC)",
        "High throughput exposure (HTE)",
        "Risk-based prioritization",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary info.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503180/Supplementary%20info.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-02",
      "references": [
        "https://doi.org/10.1016/j.comtox.2018.07.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SPECIATE Emission Source Profile Ranking Results",
      "description": "Shows the points assigned to each prominent emission source profile for each NOAA climate region and then ranks the profile by the highest regional average. Analysis based on emission mass and reactivty assigned by the 2014 emissions modeling platform (https://www.epa.gov/air-emissions-modeling/emissions-modeling-tools; https://www.epa.gov/air-emissions-modeling/2014-2016-version-7-air-emissions-modeling-platforms). \n\nThis dataset is associated with the following publication:\nBray, C., M. Strum, H. Simon, L. Riddick, M. Kosusko, M. Menetrez, M. Hays, and V. Rao. An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 207: 93-104, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503165",
      "keyword": [
        "speciate",
        "emissions",
        "pm 2.5",
        "VOC"
      ],
      "contactPoint": {
        "fn": "Casey Bray",
        "hasEmail": "mailto:bray.casey@epa.gov"
      },
      "distribution": [
        {
          "title": "National Ranking_13November2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503165/National%20Ranking_13November2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-13",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.03.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls",
      "description": "The experimental data were taken from Simon et al., who compiled potency data for effects related to neurotoxicity from four experimental datasets, Stenberg et al. [18] and Wigestrand et al. The measures of potency were EC50 (µM) or IC50 values for all the effects except Stenberg data, which were expressed as a percentage of the control uptake for different concentrations measured. \n\nThis dataset is associated with the following publication:\nPradeep, P., L. Carlson, R. Judson, G. Lehmann, and G. Patlewicz. Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 101: 12-23, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503181",
      "keyword": [
        "PCB congeners",
        "neurotoxicity",
        "Toxic equivalency factors (TEFs)",
        "qsar",
        "Neurotoxic equivalent factor (NEF)",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "PCBs.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503181/PCBs.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NEQ-allAssays.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503181/NEQ-allAssays.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NEQ.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503181/NEQ.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures_code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503181/Figures_code.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-22",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2018.10.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data resides with a Swiss Federal Institute",
      "description": "NA. \n\nThis dataset is associated with the following publication:\nVolk, M., S. Bassin, M. Lehmann, M.G. Johnson, and C.P. Andersen. 13C isotopic signature and C concentration of soil density fractions illustrate reduced C allocation to subalpine grassland soil under high atmospheric N deposition.   SOIL BIOLOGY AND BIOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 125: 178-184, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503859",
      "keyword": [
        "Stable C isotopes",
        "density fractions",
        "soil respiration",
        "CO2",
        "seasonal dynamics",
        "nitrogen deposition",
        "C sequestration"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Table 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503859/Copy%20of%20Table%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Table 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503859/Copy%20of%20Table%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Fig 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503859/Copy%20of%20Fig%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Fig 1 A and B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503859/Copy%20of%20Fig%201%20A%20and%20B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Fig 2 A and B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503859/Copy%20of%20Fig%202%20A%20and%20B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-13",
      "references": [
        "https://doi.org/10.1016/j.soilbio.2018.07.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E320 Diet Ozone Oxidative Stress Data",
      "description": "Oxidative stress (OS) is a contributing factor to the neuro, cardiac, and pulmonary effects caused by adverse metabolic states, such as obesity and type II diabetes, as well as inhalation of air borne toxicants, such as ozone (O3). The objective of this study is to understand diet/O3 interactions on OS parameters in young male Brown Norway rats maintained on regular (Purina 5001), high fructose (FRUC, TD.89247), or high fat (FAT, TD.06414) diet for 16 wks followed by exposure to either filtered air or 0.8 ppm O3 under an acute (1 d for 5 h) or subacute (5 h/d, 1 d/wk for four wks) paradigm. After 18 h of the last exposure, measures of ROS production (NAD(P)H:quinone oxidoreductase (NQO1) and NADH-Ubiquinone reductase (UBIQ-RD) levels), antioxidant homeostasis (total antioxidant substance (TAS) and  γ-Glutamylcysteine synthetase (gGCS) activity), and oxidative damage (total aconitase activity and protein carbonyl (PC) content) were assayed in selected brain regions.  Diet/O3 interaction did not have a global effect in the brain, but did show limited regional and OS parameter specific effects.  HIP showed a significant interaction between FRUC diet/O3.  Aconitase in CER showed a significant interaction between diet and O3. However, regional effects of either O3 or diet alone were more profound. Within the acute condition, there was a decrease in NQ01 and UBIQ-RD in STR and HIP, respectively, regardless of exposure. Also, CER and STR showed a change in TAS due to diet alone, while FC seemed to have a larger amount of TAS due to O3 alone. Diet appeared to affect gGCS negatively in all diet groups of HIP, and only in the FAT diet of STR. The CER also appear to have a decrease in PC in FRUC group and a general decrease in PC in all diets due to O3, while aconitase increased only in FRUC air exposed animals and control O3 exposed animals. Under the subacute condition, there was an increase of NQO1 activity in only the CER due to diets alone, while UBIQ-RD increased in only the FRUC group in FC and in both diet groups in HIP. TAS was decreased in FC only in the FAT group and a clear O3 effect where FAT increased the TAS and FRUC decreased in TAS. A significant interaction between diet/O3 was found in FC. The STR also showed a decrease in TAS in response to O3. Diet also increased PC formation within CER only in the FAT group, while HIP showed a decrease in PC after O3 exposure in controls. Aconitase in CER was affected both by diet in the filtered air group while O3 caused a decrease in controls and FRUC groups. O3 affected all groups within HIP and HYP.  STR was most affected by FAT diet in both air and O3 groups. Diet seemed to be the driving factor in most OS measures. Overall, OS parameters measured do not suggest a consistent O3/diet interaction on oxidative damage pathways, but do give insight as to how high caloric diets could affect neuronal OS. \n\nThis dataset is associated with the following publication:\nValdez, J., A. Johnstone, J. Richards, J. Schmid, J. Royland, and P. Kodavanti. Interaction of Diet and Ozone Exposure on Oxidative Stress Parameters within Specific Brain Regions of Male Brown Norway Rats.   International Journal of Molecular Sciences. MDPI AG, Basel,  SWITZERLAND,  1-17, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1420077",
      "keyword": [
        "High Fructose",
        "High Fat",
        "diet",
        "Ozone",
        "oxidative stress",
        "neurotoxicity",
        "Acute exposure",
        "Subacute exposure",
        "Total antioxidants",
        "Reactive oxygen species",
        "protein carbonyls"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Cumulative Effect of Diet and O3 on OS Parameters within Brain Regions of Male BN rats_A-r22x.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420077/Cumulative%20Effect%20of%20Diet%20and%20O3%20on%20OS%20Parameters%20within%20Brain%20Regions%20of%20Male%20BN%20rats_A-r22x.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": [
        "https://doi.org/10.3390/ijms20010011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scientific Reports - O'Shaughnessy et al. A transient window of hypothyroidism alters neural progenitor cells and results in abnormal brain development    ",
      "description": "This dataset includes information on rat dam and pup bodyweights, thyroid hormone concentrations in serum, gene expression in brain, cell counts for cell proliferation in brain. \n\nThis dataset is associated with the following publication:\nOShaughnessy, K., S. Thomas, S. Spring, J. Ford, R. Ford, and M. Gilbert. A transient window of hypothyroidism alters neural progenitor cells and results in abnormal brain development.   Scientific Reports. Nature Publishing Group, London,  UK,  1-14, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502516",
      "keyword": [
        "children's health",
        "developmental hypothyroidism",
        "thyroid hormone insufficiency"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "OShaughnessy Scientific Reports M0416_CW3 Mo615 CW1 ScienceHub_b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502516/OShaughnessy%20Scientific%20Reports%20M0416_CW3%20Mo615%20CW1%20ScienceHub_b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-08",
      "references": [
        "https://doi.org/10.1038/s41598-019-40249-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data tables, and data used in figures presented in the manuscript \"High-Throughput Screening and Chemotype-Enrichment Analysis of ToxCast Phase II Chemicals Evaluated for Human Sodium-Iodide Symporter (NIS) Inhibition\"",
      "description": "All tables, plus the data for generating figures presented in the manuscript \"High-Throughput Screening and Chemotype-Enrichment Analysis of ToxCast Phase II Chemicals Evaluated for Human Sodium-Iodide Symporter (NIS) Inhibition\". \n\nThis dataset is associated with the following publication:\nWang, J., D. Hallinger, A. Murr, A. Buckalew, R. Lougee, A. Richard, S. Laws, and T. Stoker. High-Throughput Screening and Chemotype-Enrichment Analysis of ToxCast Phase II Chemicals Evaluated for Human Sodium-Iodide Symporter (NIS) Inhibition.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS,  377-386, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502640",
      "keyword": [
        "Sodium Iodide Symporter",
        "thyroid",
        "endocrine disruptor",
        "high-throughput in vitro screening assay",
        "ToxPrint",
        "chemotype"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "NIS ph2 data for figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502640/NIS%20ph2%20data%20for%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NIS ph2 Table 1 S2 S3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502640/NIS%20ph2%20Table%201%20S2%20S3.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NIS ph2 Table S1 S4-S8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502640/NIS%20ph2%20Table%20S1%20S4-S8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-12",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.02.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genome Sequence Data Set01",
      "description": "The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of three Escherichia coli  isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and J. Hoelle-Schwalbach. Draft Genome Sequences of Antibiotic-Resistant Escherichia coli Isolates from U.S. Wastewater Treatment Plants.   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(23): e00351-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503434",
      "keyword": [
        "draft genome",
        "isolates",
        "assembly",
        "carbapenem-resistant E. coli",
        "carbapenemase and extended spectrum beta lactamase genes",
        "wastewater treatment",
        "Phylotyping"
      ],
      "contactPoint": {
        "fn": "Jill Hoelle-Schwalbach",
        "hasEmail": "mailto:hoelle.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA524695",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA524695",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Genome_Set01.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503434/Genome_Set01.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Genome_Set01.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503434/Genome_Set01.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-04",
      "references": [
        "https://doi.org/10.1128/mra.00351-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full-Scale qPCR FSI in the Tillamook Bay Watershed_April 2019",
      "description": "Fecal source identification qPCR, land use, and weather data used in the manuscript entitled, \"Large-Scale Implementation of Standardized Quantitative Real-Time PCR Fecal Source Identification Procedures in the Tillamook Bay Watershed\". \n\nThis dataset is associated with the following publication:\nLi, X., M. Sivaganesan, C. Kelty, A. Zimmer-Faust, P. Clinton, J. Reichman, Y. Johnson, W. Matthews, S. Bailey, and O. Shanks. Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(6): e0216827, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503686",
      "keyword": [
        "Microbial Source Tracking",
        "Fecal Pollution",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Li et al 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503686/Li%20et%20al%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-04",
      "references": [
        "https://doi.org/10.1371/journal.pone.0216827"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with journal article \"Combining modeled and observed wet deposition and precipitation data for improved critical loads analyses\"",
      "description": "Data sets used in the analysis presented in the manuscript “A Measurement-Model Fusion Approach for Improved Wet Deposition Maps and Trends”.  The datasets used for the analysis presented in this manuscript were provided by:\n1. the National Atmospheric Deposition Program National Trends Network (NADP Program Office, Wisconsin State Laboratory of Hygiene, 465 Henry Mall, Madison, WI 53706.\nhttp://nadp.slh.wisc.edu/data/NTN/ntnAllsites.aspx \n) \n2. the Parameter-elevation Regressions on Independent Slopes Model (PRISM) Climate Group (PRISM Climate Group, Oregon State University, http://prism.oregonstate.edu, created 10 Sept 2015)\n3. the Community Multiscale Air Quality (CMAQ) model development team within the EPA's Office of Research and Development\n\nEach file is in comma-separated value (csv) format.  Column names and definitions for each file are provided in the accompanying data dictionary file.  \n\nThe three data files are:\n1. NADP-NTN_and_CMAQv5.0.2_annual_total_wet_depostion_2002-2012.csv: Matched model and observational wet deposition data for 2002 -2012 over the continental US\n2. CMAQv5.0.2_surface_layer_annual_total_wet_depostion_2002-2012.csv: Gridded surface layer model wet deposition data for 2002-2012 over the continental US\n3. north.amer.map.CMAQ.km.csv: North America map lines in Lambert conformal projected coordinates based on projection used in CMAQ simulations. \n\nThis dataset is associated with the following publication:\nZhang, Y., K. Foley, D. Schwede, J. Bash, J. Pinto, and R. Dennis. A Measurement‐Model Fusion Approach for Improved Wet Deposition Maps and Trends.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 124(7): 4237-4251, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500939",
      "keyword": [
        "CMAQ",
        "wet deposition",
        "Dry Deposition",
        "NADP/NTN",
        "nitrogen deposition trends",
        "air quality model evaluation",
        "critical loads",
        "PRISM",
        "sulfur deposition trends"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "JGR2019_ScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500939/JGR2019_ScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-13",
      "references": [
        "https://doi.org/10.1029/2018jd029051"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data: Urinary phthalate metabolites and metabolic syndrome in U.S. adolescents: cross-sectional results from the National Health and Nutrition Examination Survey (2003-2014) data",
      "description": "NHANES data from the 2003-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. \n\nThis dataset is associated with the following publication:\nGaston, S., and N. Tulve. Urinary phthalate metabolites and metabolic syndrome in U.S. adolescents: Cross-sectional results from the National Health and Nutrition Examination Survey (2003–2014) data.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 222(2): 195-204, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1409818",
      "keyword": [
        "metabolic syndrome",
        "Phthalates",
        "adolescents",
        "socioeconomic status"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "Gaston_and_Tulve-Urinary phthalate metabolites and metabolic syndrome in U.S. adolescents_revision_dataset_041018.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1409818/Gaston_and_Tulve-Urinary%20phthalate%20metabolites%20and%20metabolic%20syndrome%20in%20U.S.%20adolescents_revision_dataset_041018.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2018.09.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1409818/documents/Data%20dictionary_NHANES_03_14_phthalates_mets_5-30-18.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters ",
      "description": "The dataset is supportive of the manuscript \"Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters\". \n\nThis dataset is associated with the following publication:\nRajib, A., G. Evenson, H. Golden, and C. Lane. Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 567: 668-683, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1433650",
      "keyword": [
        "hydrology",
        "floods",
        "hydrologic model"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "GoldenHeather_A9cp1_Data_20180420.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433650/GoldenHeather_A9cp1_Data_20180420.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2018.10.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vacant Lots Hydrology Manuscript Data",
      "description": "The dataset includes information to make Figures 1 through 4 of the manuscript (\"FigureData\" spreadsheet) and for full data analyses (\"RawData\" spreadsheet). \n\nThis dataset is associated with the following publication:\nKelleher, C., H. Golden, S. Burkholder, and W. Shuster. Urban vacant lands impart hydrological benefits across city landscapes.   Nature Communications. Nature Publishing Group, London,  UK, 11: 1563, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503451",
      "keyword": [
        "vacant lots",
        "urban hydrology",
        "vacant land",
        "kstormwater",
        "infiltration",
        "detention capacity"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "KelleherChrista_FigureData_20191220.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503451/KelleherChrista_FigureData_20191220.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "KelleherChrista_RawData_20191219.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503451/KelleherChrista_RawData_20191219.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-10",
      "references": [
        "https://doi.org/10.1038/s41467-020-15376-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Smucker",
      "description": "This dataset contains site information, watershed land cover, water chemistry, and proportions of fatty acids for periphyton and macroinvertebrates collected from stream sites. \n\nThis dataset is associated with the following publication:\nWhorley, S., N. Smucker, A. Kuhn, and J. Wehr. Urbanisation alters fatty acids in stream food webs.   FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 64(5): 984-996, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500006",
      "keyword": [
        "Algae",
        "land cover",
        "nutrients",
        "Watershed",
        "macroinvertebrates",
        "water quality",
        "Impervious cover"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Smucker_fatty_acid_study_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500006/Smucker_fatty_acid_study_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-19",
      "references": [
        "https://doi.org/10.1111/fwb.13279"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genesis and Study Design for EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)",
      "description": "Detection by GC and LC for ENTACT chemicals and OPERA predicted physicochemical properties for manuscript Figures 3 and 4. \n\nThis dataset is associated with the following publication:\nUlrich, E., J. Sobus, C. Grulke, A. Richard, S. Newton, M. Strynar, K. Mansouri, and A. Williams. EPA’s non-targeted analysis collaborative trial (ENTACT): genesis, design, and initial findings.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 411(4): 853-866, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502488",
      "keyword": [
        "ToxCast",
        "round-robin or ring-trial",
        "CompTox Chemistry Dashboard",
        "exposome",
        "high-resolution mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Elin Ulrich",
        "hasEmail": "mailto:ulrich.elin@epa.gov"
      },
      "distribution": [
        {
          "title": "ENTACT Study Design data for SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502488/ENTACT%20Study%20Design%20data%20for%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502488/Supplemental%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-05",
      "references": [
        "https://doi.org/10.1007/s00216-018-1435-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cape Fear Analysis Dataset",
      "description": "Compound discovery, All chemical features, assigned chemical species and Profinder Settings. \n\nThis dataset is associated with the following publication:\nMcCord, J., and M. Strynar. Identification of Per- and Polyfluoroalkyl Substances in the Cape Fear River by High Resolution Mass Spectrometry and Nontargeted Screening.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(9): 4717-4727, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502536",
      "keyword": [
        "PFASs",
        "non-targeted analysis",
        "Compound Discovery",
        "mass spectrometry",
        "perfluorinated ether",
        "Cape Fear River"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "McCord_CapeFearCompoundDiscovery - Supplemental Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502536/McCord_CapeFearCompoundDiscovery%20-%20Supplemental%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table 1_All Chemical Features.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502536/Supplemental%20Table%201_All%20Chemical%20Features.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table 2_Assigned Chemical Species.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502536/Supplemental%20Table%202_Assigned%20Chemical%20Species.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table 3_Profinder Settings.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502536/Supplemental%20Table%203_Profinder%20Settings.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-19",
      "references": [
        "https://doi.org/10.1021/acs.est.8b06017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "180626 Thyroid Hormone PFOA PFOS Manuscript Data",
      "description": "180626 Thyroid Hormone PFOA PFOS Manuscript Data. \n\nThis dataset is associated with the following publication:\nSelano, J., V. Richardson, J. Washington, and C. Mazur. Characterization of non-radiolabeled Thyroxine (T4) uptake in cryopreserved rat hepatocyte suspensions: Pharmacokinetic implications for PFOA and PFOS chemical exposure.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 58: 230-238, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502614",
      "keyword": [
        "thyroxine (T4)",
        "perfluorooctanoate (PFOA)",
        "perfluorooctane sulfonate (PFOS)",
        "chemical exposure"
      ],
      "contactPoint": {
        "fn": "Christopher Mazur",
        "hasEmail": "mailto:mazur.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "CMazur.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502614/CMazur.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-28",
      "references": [
        "https://doi.org/10.1016/j.tiv.2019.03.022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GC/MS data from the metabolomic profiling of green frog livers after exposure to pesticides and their mixtures. ",
      "description": "GC/MS metabolomic data from livers of amphibians exposed to pesticides. \n\nThis dataset is associated with the following publication:\nGlinski, D., T. Purucker, R. Van Meter, M. Black, and M. Henderson. Endogenous and exogenous biomarker analysis in terrestrial phase amphibians (Lithobates sphenocephala) following dermal exposure to pesticide mixtures.   ENVIRONMENTAL CHEMISTRY. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 16(1): 55-67, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502607",
      "keyword": [
        "metabolomics",
        "Mixtures",
        "pesticides",
        "amphibians"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/glinski_biomarkers",
          "accessURL": "https://github.com/puruckertom/glinski_biomarkers",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-22",
      "references": [
        "https://doi.org/10.1071/en18163"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502607/documents/HendersonWilliam_A-zkhw_DataDictionary_20180831.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data in figures",
      "description": "The data resulted from bench and other studies, and were used to produce manuscript plots. \n\nThis dataset is associated with the following publication:\nLytle, D., M. Schock, J. Leo, and B. Barnes. A Model for Estimating the Impact of Orthophosphate on Copper in Water.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(10): E1-E15, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390557",
      "keyword": [
        "Cuprosolvency",
        "corrosion",
        "water treatment",
        "solubility",
        "Orthophosphate",
        "polyphosphate"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Imp of orthopo4 on cu solubility. Lytle.Schock.Leo.Barnes science hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390557/Imp%20of%20orthopo4%20on%20cu%20solubility.%20Lytle.Schock.Leo.Barnes%20science%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-04-03",
      "references": [
        "https://doi.org/10.1002/awwa.1109"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplimental data",
      "description": "An Excel file including: raw data, data dictionary, and all final data sets.\n\nA PDF containing detailed equations for calculating the daily dose using the creatinine correction and UFR, figures comparing the HI between the creatinine correction and UFR, figures and tables comparing temporal trends in the MCR between the HI and potency-weighted approach, tables describing frequency of participants by cycle, temporal limit of detection by metabolite, tolerable daily intakes by phthalate, Group designation of the MCR, complete regression equations used in the regression analysis, comparison of Group counts by creatinine correction and UFR, and relative potency factors by phthalate. \n\nThis dataset is associated with the following publication:\nReyes, J., and P. Price. Temporal Trends in Exposures to Six Phthalates from Biomonitoring Data: Implications for Cumulative Risk.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(21): 12475-12483, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503652",
      "keyword": [
        "Phthalates",
        "cumulative exposures",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Paul Price",
        "hasEmail": "mailto:price.pauls@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.8b03338",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.8b03338",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1021/acs.est.8b03338"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "\"MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies",
      "description": "The dataset(s) supporting the conclusions of this article are available via the CompTox Chemistry Dashboard Downloads Page (https://comptox.epa.gov/dashboard/downloads) and MS-Ready GitHub repository (https://github.com/kmansouri/MS-ready). The MetFrag functionality is available through the web interface (https://msbi.ipb-halle.de/MetFragBeta/) and the command line version (http://c-ruttkies.github.io/MetFrag/projects/metfragcl/). All additional data supporting the conclusions of this article are included within the article and its additional files. \n\nThis dataset is associated with the following publication:\nMcEachran, A., K. Mansouri, C. Grulke, E. Schymanski, C. Ruttkies, and A. Williams. “MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies.   Journal of Cheminformatics. Springer, New York, NY, USA, 10(45): 1-16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503184",
      "keyword": [
        "high-resolution mass spectrometry (HRMS)",
        "Structure identification",
        "Structure curation",
        "Database searching",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/kmansouri/MS-ready",
          "accessURL": "https://github.com/kmansouri/MS-ready",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard/downloads",
          "accessURL": "https://comptox.epa.gov/dashboard/downloads",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://msbi.ipb-halle.de/MetFragBeta/",
          "accessURL": "https://msbi.ipb-halle.de/MetFragBeta/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-28",
      "references": [
        "https://doi.org/10.1186/s13321-018-0299-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pyrethroid dietary exposures and intake doses for single food items consumed by adults",
      "description": "N/A. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The data contain PII/CUI. However, all the raw food data (stripped of identifiers) used in this manuscript has been provided in a table, so the public can have access to all these data via a future open-access article. Format: N/A. \n\nThis dataset is associated with the following publication:\nMorgan, M., D. MacMillan, D. Zehr, and J. Sobus. Pyrethroid insecticides and their environmental degradates in repeated duplicate-diet solid food samples of 50 adults.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28: 40-45, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503902",
      "keyword": [
        "insecticides",
        "food",
        "diet",
        "exposure",
        "intake dose",
        "humans"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2019-06-06",
      "references": [
        "https://doi.org/10.1038/jes.2016.69"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting Determination of Silver Nanoparticle Dose in vitro",
      "description": "silver concentrations measured in cells by ICP-MS,\nflow cytometry data measured from cells treated with silver nanoparticles,\nviability data from cells treated with silver nanoparticles. \n\nThis dataset is associated with the following publication:\nOrtenzio, J., L. Degn, A. Goldstein-Plesser, J. Mcgee, J. Navratilova, K. Rogers, R. Zucker, and W. Boyes. Determination of Silver Nanoparticle Dose in vitro.   NanoImpact. Elsevier B.V., Amsterdam,  NETHERLANDS,  1-10, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503066",
      "keyword": [
        "dosimetry",
        "silver nanoparticles",
        "silver nanomaterials",
        "engineered nanomaterials"
      ],
      "contactPoint": {
        "fn": "William Boyes",
        "hasEmail": "mailto:boyes.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2_3_4_6_S5 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503066/Figure%202_3_4_6_S5%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-28",
      "references": [
        "https://doi.org/10.1016/j.impact.2019.100156"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vascular response to ultrafine particulate matter in superoxide dismutase 2 deficient mouse aortas",
      "description": "Studies have linked exposure to ultrafine particulate matter (PM) and adverse cardiovascular events.  Particulate matter-induced oxidative stress is believed to be a key mechanism underlying observed  adverse vascular effects.  Advanced age is one factor known to decrease anti-oxidant defenses and confer susceptibility to the detrimental vascular effects seen following  PM exposure. The present study was designed to investigate the vasomotor responses  following ultrafine PM exposure in wild type (WT) and superoxide dismutase 2 deficient (SOD2+/-) mice which possess decreased anti-oxidant defense.  Thoracic aortic rings isolated from young and aged WT and SOD2+/- mice were exposed to ultrafine PM in a tissue bath system.  Aortic rings were then constricted with increasing concentrations of phenylephrine, followed by relaxation with  rising amounts  of nitroglycerin (NTG).  Data demonstrated that ultrafine PM decreased the relaxation response in both young WT  and young SOD2+/-  mouse aortas, and relaxation was significantly reduced  in young SOD2+/- compared to WT mice.  Ultrafine PM significantly diminished  the NTG-induced relaxation response in aged compared to young mouse aortas.  After ultrafine PM exposure, the relaxation response did not differ markedly between aged WT and aged SOD2+/- mice.  Data demonstrate  that the greater vascular effect in aortic rings in aged mice ex vivo after ultrafine PM exposure may be attributed   to ultrafine PM-induced oxidative stress and loss of anti-oxidant defenses in aged vascular tissue.  Consistent with this conclusion is the attenuation of NTG-induced relaxation response in young SOD2+/- mice. \n\nThis dataset is associated with the following publication:\nCarter, J., N. Madamanchi , G. Stouffer, M. Runge, W. Cascio, and H. Tong. Ultrafine Particulate Matter Exposure Impairs Vasorelaxant Response in Superoxide Dismutase 2 Deficient Murine Aortic Rings.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 81(5): 106-115, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503059",
      "keyword": [
        "aorta",
        "superoxide dismutase (SOD)",
        "ultrafine PM",
        "vasoreactivity"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript data-Aortic ring.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503059/Manuscript%20data-Aortic%20ring.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-26",
      "references": [
        "https://doi.org/10.1080/15287394.2017.1420504"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IMS model evaluation",
      "description": "the dataset is about the comparison between model simulation and USGS observation. \n\nThis dataset is associated with the following publication:\nYuan, Y., R. Wang, E. Cooter, L. Ran, P. Daggupati, D. Yang, R. Srinivasan, and A. Jalowska. Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico.   Biogeosciences. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15(23): 7059-7076, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503169",
      "keyword": [
        "Multi-Media Models",
        "IMS-Integrated Modeling System",
        "MRB-Mississippi River Basin",
        "and nitrogen loading."
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Model_Performance_Evaluation_Biogeosciences.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503169/Model_Performance_Evaluation_Biogeosciences.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-11",
      "references": [
        "https://doi.org/10.5194/bg-15-7059-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Files for creating Figs 3 & 4",
      "description": "Model_Performance_Evaluation_Biogeosciences  file includes data for producing Figs 5-8 for model evaluation. \n\nThis dataset is associated with the following publication:\nYuan, Y., R. Wang, E. Cooter, L. Ran, P. Daggupati, D. Yang, R. Srinivasan, and A. Jalowska. Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico.   Biogeosciences. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15(23): 7059-7076, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503957",
      "keyword": [
        "model performance",
        "Multi-Media Models",
        "IMS-Integrated Modeling System",
        "MRB-Mississippi River Basin",
        "and nitrogen loading."
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "BGSfigures.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503957/BGSfigures.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Model_Performance_Evaluation_Biogeosciences.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503957/Model_Performance_Evaluation_Biogeosciences.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-18",
      "references": [
        "https://doi.org/10.5194/bg-15-7059-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScID_A07sr3_Biochemical effects CeO2_SiO2_TiO2 nanomaterials in HepG2 cells_kitchin",
      "description": "transformed raw data. \n\nThis dataset is associated with the following publication:\nKitchin, K., J. Richards, B. Robinette, K. Wallace, N. Coates, B. Castellon, and E. Grulke. Biochemical effects of some CeO2, SiO2, and TiO2 nanomaterials in HepG2 cells.   CELL BIOLOGY AND TOXICOLOGY. Springer, New York, NY, USA, 2(35): 129-145, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1435610",
      "keyword": [
        "HepG2",
        "liver",
        "nanomaterial",
        "CeO2",
        "SiO2",
        "oxidative stress",
        "TiO2",
        "Nanoparticle"
      ],
      "contactPoint": {
        "fn": "Kirk Kitchin",
        "hasEmail": "mailto:kitchin.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "ScID_A07sr3_Biochemical effects CeO2_SiO2_TiO2 nanomaterials in HepG2 cells_kitchin.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435610/ScID_A07sr3_Biochemical%20effects%20CeO2_SiO2_TiO2%20nanomaterials%20in%20HepG2%20cells_kitchin.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1007/s10565-018-9445-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435610/documents/A-7sr3_Definitions_Abbreviations.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: CHARACTERIZING THE EXTENT OF SPATIALLY INTEGRATED FLOODPLAIN AND WETLAND SYSTEMS IN THE WHITE RIVER, INDIANA, USA ",
      "description": "All data in this paper was acquired via publicly available sites and processed as described in the manuscript. The following data links are provided: \nSpatial Flood Extent data available from the USGS (Morlock et al. 2008). \nhttps://pubs.usgs.gov/of/2008/1322/\n\nNational Wetlands Inventory data available from the US FWS\nhttps://www.fws.gov/wetlands/data/Mapper.html\n\nNational Hydrography Dataset available from the USGS (National Hydrography product page)\nhttps://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products\n\nFederal Emergency Management Agency flood insurance data\nhttps://www.fema.gov/data-feeds\n\nSoil-Based Floodplain Map (Sangwan and Merwade 2015)\nhttps://purr.purdue.edu/publications/2430/1. \n\nThis dataset is associated with the following publication:\nLane, C., A. Hall, E. D'Amico, N. Sangwan, and V. Merwade. Characterizing the Extent of Spatially Integrated Floodplain and Wetland Systems in the White River, Indiana, USA.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 53(4): 774-790, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500070",
      "keyword": [
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.usgs.gov/of/2008/1322/",
          "accessURL": "https://pubs.usgs.gov/of/2008/1322/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.fws.gov/wetlands/data/Mapper.html",
          "accessURL": "https://www.fws.gov/wetlands/data/Mapper.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.fema.gov/data-feeds",
          "accessURL": "https://www.fema.gov/data-feeds",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://purr.purdue.edu/publications/2430/1",
          "accessURL": "https://purr.purdue.edu/publications/2430/1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://apps.nationalmap.gov/downloader/#/",
          "accessURL": "https://apps.nationalmap.gov/downloader/#/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-20",
      "references": [
        "https://doi.org/10.1111/1752-1688.12531",
        "https://pasteur.epa.gov/uploads/10.23719/1500070/documents/Supporting_Data_Dictionary_Lane_etal_2017.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LaneCharles_A-g1kf_Dataset_05092018",
      "description": "Data used in assessing the location and accuracy of the vegetative analysis. \n\nThis dataset is associated with the following publication:\nBerhane, T., H. Costa, C. Lane, O. Anenkhonov, V. Chepinoga, and B. Autrey. The Influence of Region of Interest Heterogeneity on Classification Accuracy in Wetland Systems.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 11(5): 551, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500448",
      "keyword": [
        "Methodology",
        "remote sensing"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "LaneCharles_A-g1kf_Dataset_05092018_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500448/LaneCharles_A-g1kf_Dataset_05092018_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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          "title": "Hill et al Toxicol Sci Supplemental Figure 4_r1.pdf",
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        "https://doi.org/10.1093/toxsci/kfw195"
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          }
        ]
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      "accessRights": "public"
    },
    {
      "title": "Aggregation of reduced graphene oxide-iron oxide/silver hybrid nanostructures",
      "description": "The dataset is about aggregation and sedimentation of RGO and its nanohybrids. \n\nThis dataset is associated with the following publication:\nPark, C., D. Wang, J. Heo, N. Her, and C. Su. Aggregation of reduced graphene oxide and its nanohybrids with magnetite and elemental silver under environmentally relevant conditions.   Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 20: 93-93, (2018).",
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        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Aggregation%20%28RGO%29%20NOM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Agg_RGO-Fe_NaCl.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Agg_RGO-Fe_NaCl.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Agg_RGO-Fe-Ag_Metals.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Agg_RGO-Fe-Ag_Metals.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Agg_RGO-Fe-Ag_CaCl2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Agg_RGO-Fe-Ag_NaCl.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Agg_RGO_CaCl2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Aggregation%20%28RGO-Fe%29%20NOM.pdf",
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          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPM (RGO-based).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/EPM%20%28RGO-based%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Size%20%28RGO-based%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Size.Zeta.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1426665/Size.Zeta.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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    {
      "title": "NLCD 2011 IC reference data",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Riparian.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435414/Riparian.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435414/WS_ICAA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        },
        {
          "title": "Lattice40ha_ICAA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435414/Lattice40ha_ICAA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        ]
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    },
    {
      "title": "Dataset",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "identifier": "https://doi.org/10.23719/1504002",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.dfw.state.or.us/fish/local_fisheries/diamond_lake/restoration-update.asp",
          "accessURL": "https://www.dfw.state.or.us/fish/local_fisheries/diamond_lake/restoration-update.asp",
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        {
          "title": "https://www.oregon.gov/deq/wq/tmdls/Pages/TMDLs-Approved-by-EPA.aspx",
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        {
          "title": "https://iaspub.epa.gov/apex/grts/f?p=grts:95",
          "accessURL": "https://iaspub.epa.gov/apex/grts/f?p=grts:95",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://pubs.usgs.gov/of/2014/1098/pdf/ofr2014-1098.pdf",
          "accessURL": "https://pubs.usgs.gov/of/2014/1098/pdf/ofr2014-1098.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://www.oregon.gov/deq/FilterDocs/umpchpt6dialake.pdf",
          "accessURL": "https://www.oregon.gov/deq/FilterDocs/umpchpt6dialake.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5336132.pdf",
          "accessURL": "https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5336132.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2014-10/documents/2007_5_16_streamsurvey_wsa_assessment_may2007.pdf",
          "accessURL": "https://www.epa.gov/sites/production/files/2014-10/documents/2007_5_16_streamsurvey_wsa_assessment_may2007.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.oregon.gov/deq/FilterDocs/umpchpt1overview.pdf",
          "accessURL": "https://www.oregon.gov/deq/FilterDocs/umpchpt1overview.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.oregon.gov/dsl/WW/Documents/ORWAP_3_1_Manual_Nov_2016.pdf",
          "accessURL": "https://www.oregon.gov/dsl/WW/Documents/ORWAP_3_1_Manual_Nov_2016.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.oregon.gov/deq/FilterDocs/scTenmilewqmp.pdf",
          "accessURL": "https://www.oregon.gov/deq/FilterDocs/scTenmilewqmp.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.oregon.gov/dsl/WW/Documents/hydro_guide_class.pdf",
          "accessURL": "https://www.oregon.gov/dsl/WW/Documents/hydro_guide_class.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-31",
      "references": [
        "https://doi.org/10.3390/w11061125",
        "https://www.oregon.gov/oha/ph/HealthyEnvironments/Recreation/HarmfulAlgaeBlooms/Pages/index.aspx",
        "https://www.dfw.state.or.us/fish/local_fisheries/diamond_lake/restoration-update.asp",
        "https://www.oregon.gov/deq/wq/tmdls/Pages/TMDLs-Approved-by-EPA.aspx",
        "https://iaspub.epa.gov/apex/grts/f?p=grts:95",
        "https://pubs.usgs.gov/of/2014/1098/pdf/ofr2014-1098.pdf",
        "https://www.oregon.gov/deq/FilterDocs/umpchpt6dialake.pdf",
        "https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5336132.pdf",
        "https://www.epa.gov/sites/production/files/2014-10/documents/2007_5_16_streamsurvey_wsa_assessment_may2007.pdf",
        "https://www.oregon.gov/deq/FilterDocs/umpchpt1overview.pdf",
        "https://www.oregon.gov/dsl/WW/Documents/ORWAP_3_1_Manual_Nov_2016.pdf",
        "https://www.oregon.gov/deq/FilterDocs/scTenmilewqmp.pdf",
        "https://www.oregon.gov/dsl/WW/Documents/hydro_guide_class.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TBBPA-BDBPE Dermal Summary Data",
      "description": "Disposition of TBBPA-BDBPE following ex vivo application to rat or human skin, in vivo application to rat skin and estimated human in vivo from the ex vivo rat and human and in vivo rat data. \n\nThis dataset is associated with the following publication:\nKnudsen, G., M. Hughes, and L. Birnbaum. Dermal disposition of Tetrabromobisphenol A Bis(2,3-dibromopropyl) ether (TBBPA-BDBPE) using rat and human skin.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 301: 108-113, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503025",
      "keyword": [
        "Brominated flame retardants",
        "persistent organic pollutant",
        "dermal bioavailability"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "TBBPA-BDBPE dermal summary data_09072018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503025/TBBPA-BDBPE%20dermal%20summary%20data_09072018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-13",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2018.11.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "246-TBP dermal summary data",
      "description": "The dataset includes mean +/- standard deviation of each experiment ex vitro (in vitro) rat, in vivo rat, ex vitro (in vitro) human, calculated human.  The rows show each fraction or factor in the experiment (e.g., skin wash, tape strip, etc.).  The ex vivo data is from work completed at EPA-RTP.  The in vivo data was from work completed at NIEHS. \n\nThis dataset is associated with the following publication:\nKnudsen, G., A. Trexler, A. Richiards, M. Hughes, and L. Birnbaum. 2,4,6-Tribromophenol disposition and kinetics in rodents: effects of dose, route, sex, and species.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  169(1): 167-179, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503137",
      "keyword": [
        "brominated flame retardant",
        "in vitro",
        "skin"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "246-TBP dermal summary data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503137/246-TBP%20dermal%20summary%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-25",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salmonella Mutagenicity Data from Wildfire Firefighter's Urine",
      "description": "The dataset is the raw and partially analyzed urinary mutagenicity data, which were generated by US EPA scientists at the US EPA/RTP.  The data consist of the number of mutant colonies (revertants) per petri plate at each dose of the organic extract of the urine.  These are accompanied by the positive and negative controls.  In addition, the data from each experiment have been partially analyzed by performing a linear regression of the data to generate a slope value (revertants/ml-equivalents of urine) as well as an r-squared value, which is a measure of how linear the line is (i.e., how close to a straight line the data are). \n\nThis dataset is associated with the following publication:\nAdetona, A., W.K. Martin, S. Warren, N. Hanley, O. Adetona, J.(. Zhang, C. Simpson, M. Paulsen, S. Rathbun, J. Wang, D. DeMarini, and L. Naeher. Urinary Mutagenicity as a Biomarker of Occupational Smoke Exposures of Wildland Firefighters Performing Prescribed Burns.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(2): 73-87, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503081",
      "keyword": [
        "wildfire",
        "Mutagenicity",
        "Salmonella",
        "Ames assay",
        "urinary mutagenicity",
        "prescribed burn"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Adetona et al raw mutagenicity data 10-12-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503081/Adetona%20et%20al%20raw%20mutagenicity%20data%2010-12-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1080/08958378.2019.1600079"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainability Assessment of Agricultural Rainwater Harvesting: Evaluation of Innovative Crop Types and Irrigation Practices",
      "description": "Data provided for Figures and Tables in the manuscript. \n\nThis dataset is associated with the following publication:\nGhimire, S., and J. Johnston. Sustainability assessment of agricultural rainwater harvesting: Evaluation of alternative crop types and irrigation practices.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): e0216452, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500900",
      "keyword": [
        "life cycle assessment",
        "Commercial rainwater harvesting",
        "Municipal water supply",
        "Energy intensity"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "highlands_crop_area.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/highlands_crop_area.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "coastal_plains_crop_area.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/coastal_plains_crop_area.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "All_LCCA_Cluster2_May2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/All_LCCA_Cluster2_May2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cluster2_DEA data_May2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Cluster2_DEA%20data_May2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cluster2 Basin wide sustainability May2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Cluster2%20Basin%20wide%20sustainability%20May2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Aux system sensitivity analysis Sept.2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Aux%20system%20sensitivity%20analysis%20Sept.2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCA sensitivity of Auxiliary Ag. RWH-crops.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/LCA%20sensitivity%20of%20Auxiliary%20Ag.%20RWH-crops.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hints EXCEL Visual Basic Macro for DEA.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Hints%20EXCEL%20Visual%20Basic%20Macro%20for%20DEA.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCA_LCCA data_DEA_May2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/LCA_LCCA%20data_DEA_May2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCCA of 4 ARWH designs 091217.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/LCCA%20of%204%20ARWH%20designs%20091217.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "piedmont_crop_area.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/piedmont_crop_area.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Revised Crop water needs data 4.30.2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Revised%20Crop%20water%20needs%20data%204.30.2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Updated Sustainability of ARWH 25pc adoption 1.16.2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/Updated%20Sustainability%20of%20ARWH%2025pc%20adoption%201.16.2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-31",
      "references": [
        "https://doi.org/10.1371/journal.pone.0216452"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500900/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "alpha-pinene-derived organic coatings on acidic sulfate aerosol reduce secondary organic aerosol formation from isoprene in the eastern United States",
      "description": "EPA did not generate data as part of this work. This dataset is not publicly accessible because: I personally did not generate any new data in this study. It can be accessed through the following means: Via contact with corresponding author. Format: This study was led by the University of North Carolina at Chapel Hill and they plan to distribute through Mendeley Data. Data is not yet posted. \n\nThis dataset is associated with the following publication:\nSchmedding, R., M. Ma, Y. Zhang, S. Farrell, H. Pye, Y. Chen, C. Wang, Q. Rasool, S.H. Budisulistiorini, A. Ault, J. Surratt, and W. Vizuete. α-Pinene-Derived organic coatings on acidic sulfate aerosol impacts secondary organic aerosol formation from isoprene in a box model.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 213: 456-462, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503132",
      "keyword": [
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [],
      "modified": "2019-06-13",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.06.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ARYS mobile monitoring data-50m ",
      "description": "This is the post-processed mobile air monitoring data, with the methods described in the science journal publication. \n\nThis dataset is associated with the following publication:\nBrantley, H., G. Hagler, S. Herndon, P. Massoli, M. Bergin, and A. Russell. Characterization of Spatial Air Pollution Patterns Near a Large Railyard Area in Atlanta, Georgia.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(4): 535, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502630",
      "keyword": [
        "rail yard",
        "air quality",
        "near-source",
        "mobile monitoring"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "ARYS-50m-segments-SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502630/ARYS-50m-segments-SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-12",
      "references": [
        "https://doi.org/10.3390/ijerph16040535"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Avium Legionella and Structures",
      "description": "Concentrations of  Legionella pneumphila and Mycobacterium avium as measured by quantitative Polmerase chaine reaction. \n\nThis dataset is associated with the following publication:\nDonohue, M., D. King, S. Pfaller, and J. Mistry. The sporadic nature of Legionella pneumophila, Legionella pneumophila Sg1 and Mycobacterium avium occurrence within residences and office buildings across 36 states in the United States.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 126(5): 1568-1579, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1410984",
      "keyword": [
        "legionella",
        "Mycobacterium",
        "occurence",
        "strutures"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "Scihub Avium Legionlla and structures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410984/Scihub%20Avium%20Legionlla%20and%20structures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-06",
      "references": [
        "https://doi.org/10.1111/jam.14196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets in Gene Expression Omnibus used in the study ORD-022075: Chemical Activation of the Constitutive Activated Receptor (CAR) Leads to Activation of Oxidant-Induced Nrf2 ",
      "description": "Gene Expression Omnibus (GEO) accession numbers of studies used in the analysis. \n\nThis dataset is associated with the following publication:\nRooney, J., K. Oshida, R. Kumar, W. Baldwin, and C. Corton. Chemical Activation of the Constitutive Androstane Receptor Leads to Activation of Oxidant-Induced Nrf2.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  167(1): 172-189, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1389076",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "oxidative stress",
        "constitutive activated receptor (CAR)",
        "microarray",
        "peroxisome proliferator-activated receptor alpha",
        "aryl hydrocarbon receptor",
        "liver"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-8kq1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389076/Data%20submission%20for%20A-8kq1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-30",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in ORD-023401: Activation of Nrf2 in the Liver is Associated with Suppression of the Growth Hormone-Regulated STAT5b Transcription Factor ",
      "description": "Datasets used in ORD-023401: Activation of Nrf2 in the Liver is Associated with Suppression of the Growth Hormone-Regulated STAT5b Transcription Factor. \n\nThis dataset is associated with the following publication:\nRooney, J., K. Oshida, N. Vasani, B. Vallanat, N. Ryan, B. Chorley, X. Wang, D. Bell, K. Wu, L. Aleksunes, C. Klaassen, T. Kensler, and C. Corton. Activation of Nrf2 in the Liver is Associated with Suppression of the Growth Hormone-Regulated STAT5b Transcription Factor.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): 1-30, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407624",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "Nrf2",
        "oxidative stress",
        "microarray",
        "genomics",
        "growth hormone",
        "sex differences"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-pvn1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407624/Data%20submission%20for%20A-pvn1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-01",
      "references": [
        "https://doi.org/10.1371/journal.pone.0200004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in ORD-023417: Identification of Androgen Receptor Modulators in a Prostate Cancer Cell Line Microarray Compendium ",
      "description": "Datasets used in ORD-023417: Identification of Androgen Receptor Modulators in a Prostate Cancer Cell Line Microarray Compendium. \n\nThis dataset is associated with the following publication:\nRooney, J., B. Chorley, N. Kleinstreuer, and C. Corton. Identification of Androgen Receptor Modulators in a Prostate Cancer Cell Line Microarray Compendium.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  166(1): 146-162, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407627",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "Androgen receptor",
        "androgens",
        "antiandrogens",
        "endocrine disruption",
        "micorarray",
        "prostate cancer cell lines",
        "cancer",
        "high-throughput transcriptomic screening"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-k3jv.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407627/Data%20submission%20for%20A-k3jv.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy187"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of SWAT reservoir, ponds, and wetlands tools in water and sediment simulation in the Rock River watershed",
      "description": "The dataset supported findings in the study:\n\"Evaluation of SWAT reservoir, ponds, and wetlands tools in water and sediment simulation in the Rock River watershed\".\nResults of this study demonstrate the impact of impoundments in SWAT modeling.The dataset includes sources of the SWAT input data. \n\nThis dataset is associated with the following publication:\nJalowska, A., and Y. Yuan. Evaluation of SWAT Impoundment Modeling Methods in Water and Sediment Simulations.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 55(1): 209-227, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407591",
      "keyword": [
        "ArcSWAT",
        "model calibration",
        "streamflow",
        "reservoirs",
        "wetlands",
        "ponds",
        "sediment retention",
        "model parameterization",
        "SWAT",
        "HAWQS",
        "EPIC",
        "WRF",
        "CMAQ",
        "Mississippi River Basin",
        "Gulf of Mexico",
        "Hypoxia",
        "nitrogen deposition",
        "Nitrogen loads",
        "integrated modeling",
        "impoundments"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "https://viewer.nationalmap.gov",
          "accessURL": "https://viewer.nationalmap.gov",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nassgeodata.gmu.edu/CropScape/",
          "accessURL": "https://nassgeodata.gmu.edu/CropScape/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.prism.oregonstate.edu/explorer/",
          "accessURL": "https://www.prism.oregonstate.edu/explorer/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/wi/nwis/uv?site_no=05425912",
          "accessURL": "https://waterdata.usgs.gov/wi/nwis/uv?site_no=05425912",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "accessURL": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/wi/nwis/uv?site_no=05425912",
          "accessURL": "https://waterdata.usgs.gov/wi/nwis/uv?site_no=05425912",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "accessURL": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dnr.wi.gov/lakes/",
          "accessURL": "https://dnr.wi.gov/lakes/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WIDNR_2014_BDL_00120_dam order.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/WIDNR_2014_BDL_00120_dam%20order.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WIDNR_2009_Wisconsin_Lakes.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/WIDNR_2009_Wisconsin_Lakes.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WIDNR_FOX_00250_dam_orders.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/WIDNR_FOX_00250_dam_orders.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hey and Associates FOX_08167 Drew Creek Final Report 1-15-2010.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/Hey%20and%20Associates%20FOX_08167%20Drew%20Creek%20Final%20Report%201-15-2010.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hey and Associates FOX_lake report LPT-244-04.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/Hey%20and%20Associates%20FOX_lake%20report%20LPT-244-04.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://sdmdataaccess.sc.egov.usda.gov",
          "accessURL": "https://sdmdataaccess.sc.egov.usda.gov",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncdc.noaa.gov",
          "accessURL": "https://www.ncdc.noaa.gov",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "accessURL": "https://water.weather.gov/ahps2/index.php?wfo=mkx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Land_Use.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/Land_Use.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.waterqualitydata.us/portal/",
          "accessURL": "https://www.waterqualitydata.us/portal/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-01",
      "references": [
        "https://doi.org/10.1111/1752-1688.12715"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407591/documents/data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Kidney injury biomarkers and urinary creatinine",
      "description": "The original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information.   The analyzed data cannot be made publicly available. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The analyzed data cannot be made publicly available. Format: The original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information.   The analyzed data cannot be made publicly available. \n\nThis dataset is associated with the following publication:\nStiegel, M., J. Pleil , J. Sobus , M. Angriish, and M. Morgan. Kidney injury biomarkers and urinary creatinine variability in nominally healthy adults.   BIOMARKERS. Taylor & Francis, Inc., Philadelphia, PA, USA, 20: 436-452, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500441",
      "keyword": [
        "volatile organic compounds (vocs)",
        "non-targeted analysis",
        "Gas chromatography-mass spectrometry (GC/MS)",
        "thermal desorption",
        "biomarker measurements",
        "Human Exposure",
        "excretion rate",
        "kidney injury protein",
        "creatinine",
        "summary statistics"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2014-06-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ENM final",
      "description": "The data is the total number of manuscripts that were evaluated in each category.  The data helped develop figure 2 and 3. \n\nThis dataset is associated with the following publication:\nTolaymat , T., A. El Badawy, A. Genaidy, W. Abdelraheem, and R. Sequeira. Analysis of Metallic and Metal Oxide Nanomaterial Environmental Emissions.  J.Klemes and R. Lozano  JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 143: 401-412, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504021",
      "keyword": [
        "nanomaterials",
        "metal oxides",
        "metals",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "ENM final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504021/ENM%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-01",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2016.12.094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Inflammatory Cytokines and White Blood Cell Counts Response to Environmental ",
      "description": "This dataset contains a summary of compounds found in human blood samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The analyzed data cannot be made publicly available. Format: The original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information.   The analyzed data cannot be made publicly available. \n\nThis dataset is associated with the following publication:\nStiegel, M., J. Pleil , J. Sobus , and M. Madden. Inflammatory Cytokines and White Blood Cell Counts Response to Environmental Levels of Diesel Exhaust and Ozone Inhalation Exposures.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 11(4): e0152458, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500442",
      "keyword": [
        "volatile organic compounds (vocs)",
        "non-targeted analysis",
        "Gas chromatography-mass spectrometry (GC/MS)",
        "thermal desorption",
        "biomonitoring measurements",
        "environmental measurements",
        "immunochemistry",
        "inflammatory markers",
        "Ozone",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2015-06-30",
      "references": [
        "https://doi.org/10.1371/journal.pone.0152458"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset associated with ORD-025118: Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles",
      "description": "Datasets used in ORD-025118: Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles. \n\nThis dataset is associated with the following publication:\nCorton, C., A. Williams, and C. Yauk. Using a Gene Expression Biomarker to Identify DNA Damage-Inducing Agents in Microarray Profiles.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 59(9): 772-784, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1418152",
      "keyword": [
        "toxicogenomics",
        "genotoxicity",
        "DNA damage",
        "biomarker",
        "microarray"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-g79v.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418152/Data%20submission%20for%20A-g79v.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-21",
      "references": [
        "https://doi.org/10.1002/em.22243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stream Tables Associated with the Case Study: Coal biomass to methanol, methanol to acetic acid, and life cycle results before and after implementing the pollution control units. All data are computer simulation results.",
      "description": "The dataset files contain the chemical process simulation results (mass and energy flows) for the production of acetic acid from coal and methanol. Also, it has the life cycle inventory (LCI) results when air emissions are treated by the pollution control unit (PCU) modules. The datasets show the full LCI input/output results from the application of the PCUs to the methanol-to-acetic acid (AA) sub-process. \n\nThis dataset is associated with the following publication:\nLi, S., Y. Feliachi, S. Agbleze, G. Ruiz-Mercado, R. Smith, D. Meyer, M. Gonzalez, and F.V. Lima. A process systems framework for rapid generation of life cycle inventories for pollution control and sustainability evaluation.   CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY. Springer-Verlag, New York, NY, USA, 20(7): 1543-1561, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1419854",
      "keyword": [
        "mass flows",
        "utility",
        "energy flows",
        "air emissions",
        "life cycle inventory",
        "Chemical Safety for Sustainability",
        "chemical manufacturing",
        "Life Cycle Environmental Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Coal_Biomass to Methanol simulation results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419854/Coal_Biomass%20to%20Methanol%20simulation%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCUs for AA simulation results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1419854/PCUs%20for%20AA%20simulation%20results.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://doi.org/10.1007/s10098-018-1530-6"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Light absorption of organic carbon emitted from burning wood, charcoal, and kerosene in household cookstoves",
      "description": "Optical properties of light absorbing organic aerosol emitted from cookstoves operating with different fuels. \n\nThis dataset is associated with the following publication:\nMingjie, X., S. Guofeng, A. Holder, M. Hays, and J. Jetter. Light absorption of organic carbon emitted from burning wood, charcoal and kerosene in household cookstoves (R2).   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 240: 60-67, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1423309",
      "keyword": [
        "cookstoves",
        "residential combustion",
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
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          "title": "BrC from Cookstoves Data Tables and Dictionary Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423309/BrC%20from%20Cookstoves%20Data%20Tables%20and%20Dictionary%20Final.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": [
        "https://doi.org/10.1016/j.envpol.2018.04.085"
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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          }
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      "accessRights": "public"
    },
    {
      "title": "River Metrics Data Ver 1",
      "description": "Transcripts from focus groups. \n\nThis dataset is associated with the following publication:\nWeber , M., and P. Ringold. River metrics by the public, for the public.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): e0214986, (2019).",
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      "contactPoint": {
        "fn": "Paul Ringold",
        "hasEmail": "mailto:ringold.paul@epa.gov"
      },
      "distribution": [
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          "title": "https://osf.io/7w59g/",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "title": "Coastal Shoreline Resilience Screening Data (CRSI & LQ)",
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        "fn": "Lisa Smith",
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      },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502629/Percentile%20Ranked%20LQ%20CRSI%20ENOW%20GOM.xlsx",
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            "subOrganizationOf": [
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      "title": "Validation of a dietary questionnaire to assess omega-3 fatty acids levels",
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        "dietary questionnaire",
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        "fn": "Wan Shen",
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      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503097/Metadata.xlsx",
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        }
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    {
      "title": "Unmix Optimum Input Data Files and Model Results",
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      "keyword": [
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      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500438/40%20Lakes%20West%20UnmixO%20SciHub%20-%20Published.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "LBL datastet UnmixO SciHub - Published.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500438/LBL%20datastet%20UnmixO%20SciHub%20-%20Published.xlsx",
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          "title": "40 Lakes Central UnmixO SciHub - Published.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500438/40%20Lakes%20Central%20UnmixO%20SciHub%20-%20Published.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "40 Lakes East UnmixO SciHub - Published.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500438/40%20Lakes%20East%20UnmixO%20SciHub%20-%20Published.xlsx",
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      "references": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Informing Future Risks of Record‐Level Rainfall in the United States",
      "description": "One supplemental file, one link to a repository where the complete matlab code can be found to reproduce the study (41 files). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504048",
      "keyword": [
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        "clustering",
        "extreme value analysis",
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      ],
      "contactPoint": {
        "fn": "Allison Crimmins",
        "hasEmail": "mailto:crimmins.allison@epa.gov"
      },
      "distribution": [
        {
          "title": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019GL082362",
          "accessURL": "https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019GL082362",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://data.mendeley.com/datasets/v6ztmhd93c/1",
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          "title": "grl58819-sup-0001-2019gl082362-text_si-s01.pdf",
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      "title": "Climate damages and adaptation potential across diverse sectors of the United States",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1503857",
      "keyword": [
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        "sector",
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        "adaptation"
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      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503857/Agriculture.Agriculture.zip",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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    {
      "title": "Estimates of Present and Future Asthma Emergency Department Visits Associated With Exposure to Oak, Birch, and Grass Pollen in the United States",
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      "distribution": [
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      "title": "Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States",
      "description": "Summary of datasets for flooding analysis reported in Wobus et al. (2019)\n1)\tWobus_Flood_Damages_huc10.xlsx – contains total flood damages for floods of each specified recurrence interval, organized by HUC10, for watersheds with RiskMAP data from 3 or 5 recurrence intervals. Also includes lookup table to crosswalk from HUC10 to NCA region, and from HUC10 to the ReachID associated with the modeled flow data.\n2)\tCONUS_model_dT.xlsx – contains the year that each of the 29 models evaluated meets the specified temperature threshold relative to 2001-2020 baseline, on a CONUS average basis. Sheet “Summary” in that workbook is the main result from that analysis. \n3)\tannmaxs_all85.zip – Contains annual maximum timeseries from all nodes in the geospatial fabric as modeled by NCAR/USBR in the VIC downscaled hydrologic dataset. These are the raw data used to generate extreme value statistics for baseline (2001-2020) and future time periods (see below). Variables are “reaches” (57116x1) with reachIDs; “modelnames85” (1x29) with model IDs; “years” (150x1) with years from 1950-2100; and “annmaxs_rcp85” (57116x150x29) with annual maximum flow values by reachID, year and model. Note the step function in annual maximum flows as reported by Wobus et al. (2017) in the year 2000 – do NOT compare pre-2000 vs post-2000 data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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    {
      "title": "Li et al 20xx_Data set",
      "description": "Data available in Science Hub includes measurements used to generate Figures 1, 2, S3, and S4.  All other data is reported in the manuscript text. \n\nThis dataset is associated with the following publication:\nLi, X., L. Peed, M. Sivaganesan, C. Kelty, C. Nietch, and O. Shanks. Evidence of Genetic Fecal Marker Interactions between Water Column and Periphyton in Artificial Streams.   ACS Omega. American Chemical Society, Washington, DC, USA, 3(8): 10107-10113, (2018).",
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    {
      "title": "Chronic Toxicity of Major Ion Salts and Their Mixtures to Ceriodaphnia dubia",
      "description": "This effort involved intensive chronic toxicity testing of major ion salts (comprised of Na, K, Ca, Mg, Cl, SO4, HCO3/CO3) with the cladoceran, Ceriodaphnia dubia, a species known to be relatively sensitive to ion enrichment.  This is the fourth in a series of manuscripts discussing the sensitivity of this species to major ions, with a specific focus of determining whether the principles governing acute response of this species to major ions also predict chronic responses.  Results show this to be true, with acute-chronic ratios that are fairly consistent across different major ions, and responses to binary mixtures that show the same types of joint toxicity profiles as was observed previously for acute toxicity of major ions to this species.  Mathematical models describing the response of these organisms were developed to predict the toxicity of major ion mixtures based on either chemical activity or chemical concentrations of ions in the mixture.  These models showed good agreement with independent literature data on the chronic toxicity of major ion salts or ion mixtures to C. dubia.  The datasets associated with this effort provide effect concentrations (EC20 and EC50) for 60 chronic toxicity tests conducted as part of this research, along with literature data extracted for comparison with model predictions.  Data generated in this effort will inform efforts by OW, Regions, States, and Tribes to develop water quality standards/criteria for specific major ions (e.g., Cl, SO4).  Perhaps more importantly, it provides part of the necessary scientific underpinning for developing standards/criteria that are sensitive to the specific composition of different sources of ion enrichment (e.g., produced water, mine drainage, irrigation return, industrial/municipal effluents) and can therefore support development of robust, integrated assessment tools. \n\nThis dataset is associated with the following publication:\nMount, D., R. Erickson, B. Forsman, T. Highland, R. Hockett, D. Hoff, C. Jenson, and T. Norberg-King. Chronic toxicity of major ion salts and their mixtures to Ceriodaphnia dubia.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 38(4): 769-783, (2019).",
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      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500866/MEDCerioChronicIon_SuppTableS1.csv",
          "mediaType": "application/vnd.ms-excel",
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500866/MEDCerioChronicIon_SuppTableS2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEDCerioChronicIon_Figure1Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500866/MEDCerioChronicIon_Figure1Data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEDCerioChronicIon_Figure9Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500866/MEDCerioChronicIon_Figure9Data.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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        "https://doi.org/10.1002/etc.4346"
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500866/documents/MEDCerioChronicIon_DataDictionary_05-16-18.pdf",
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      },
      "accessRights": "public"
    },
    {
      "title": "Extracting and benchmarking emerging adverse outcome pathway knowledge",
      "description": "A collection of R scripts useful for extracting and analyzing adverse outcome pathway network data from the adverse outcome pathway wiki (aopwiki.org). \n\nThis dataset is associated with the following publication:\nPollesch, N., D. Villeneuve, and J. O'Brien. Extracting and benchmarking emerging adverse outcome pathway knowledge.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  168(2): 349-364, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
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      ],
      "identifier": "https://doi.org/10.23719/1502574",
      "keyword": [
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        "emergent knowledge",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "R_Scripts-20180820T191551Z-001.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502574/R_Scripts-20180820T191551Z-001.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2018-06-16",
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        "https://doi.org/10.1093/toxsci/kfz006"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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    },
    {
      "title": "APIS 2017 survey dataset concerning Dreissena veligers and supporting environmental data",
      "description": "An excel file where each row is a sample station and columns provide station descriptors, number and density of Dreissena veligers in the zooplankton samples, substrate type, and water quality values,  A second sheet in the excel file provides the data dictionary. \n\nThis dataset is associated with the following publication:\nTrebitz, A., C. Hatzenbuhler, J. Hoffman, C. Meredith, G. Peterson, E. Pilgrim, J. Barge, A. Cotter, and M. Wick. Dreissena veligers in western Lake Superior -- inference from new low-density detection.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(3): 691-699, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "identifier": "https://doi.org/10.23719/1503152",
      "keyword": [
        "Aquatic invasive species",
        "early detection",
        "zooplankton",
        "benthic invertebrates",
        "Dreissena"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "APISveliger2018pub_ScienceHub_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503152/APISveliger2018pub_ScienceHub_dataset.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-01",
      "references": [
        "https://doi.org/10.1016/j.jglr.2019.03.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The effects of arsenic speciation on accumulation and toxicity of dietborne arsenic exposures to rainbow trout.",
      "description": "This dataset provides exposure and effects data for two experiments regarding the dietborne toxicity of inorganic arsenic and selected organoarsenicals on rainbow trout survival and growth.  There are separate spreadsheets for the two experiments, at the replicate exposure chamber level, of measured fish weights and survival and calculated growth metrics.  Each spreadsheet provides footnote descriptions of the data and calculations provided.  Descriptions of experimental protocols are also provided as supporting documents. \n\nThis dataset is associated with the following publication:\nErickson, R., D. Mount, T. Highland, R. Hockett, D. Hoff, C. Jenson, and T. Lahren. The effects of arsenic speciation on accumulation and toxicity of dietborne arsenic exposures to rainbow trout..   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 210: 227-241, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502588",
      "keyword": [
        "organoarsenicals",
        "rainbow trout",
        "arsenic",
        "ecological risk assessment",
        "fish dietary studies",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "MEDDietPaper3_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502588/MEDDietPaper3_Dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-02",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2019.03.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Revision of National Index of Watershed Integrity",
      "description": "Datasets contain original and revised Index of Watershed Integrity (IWI) and Index of Catchment Integrity (ICI), as well as sub-components that were used to develop the indices and water quality data used to revise and/or evaluate the indices. \n\nThis dataset is associated with the following publication:\nJohnson, Z.C., S. Leibowitz, and R.A. Hill. Revising the index of watershed integrity national maps.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 651: 2615-2630, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502436",
      "keyword": [
        "watershed integrity",
        "IWI",
        "catchment integrity",
        "ICI",
        "CONUS",
        "random forests",
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/NHEERL/WED/IWI_revision.zip",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NHDPlusLandscapeAttributes/NHEERL/WED/IWI_revision.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.10.112"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502436/documents/metadata.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Migration corridor simulation",
      "description": "The model scenario and associated outputs of the case study used to illustrate the migration corridor simulation model demonstrating fish fitness outcomes. \n\nThis dataset is associated with the following publication:\nSnyder, M.N., N.H. Schumaker, J.E. Ebersole, J. Dunham, R. Comeleo, M. Keefer, P. Leinenbach, A. Brookes, B. Cope, J. Wu, J. Palmer, and D. Keenan. Individual Based Modelling of Fish Migration in a 2-D River System:Model Development and Case Study.   LANDSCAPE ECOLOGY. Springer, New York, NY, USA, 34(4): 737-754, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503532",
      "keyword": [
        "cold water refuge",
        "Salmon",
        "trout",
        "migration"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/snydermn/migration_corridor_simulation_model",
          "accessURL": "https://github.com/snydermn/migration_corridor_simulation_model",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/HexSim_CWRsColumbia/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/HexSim_CWRsColumbia/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-03",
      "references": [
        "https://doi.org/10.1007/s10980-019-00804-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chlorine Exposure Dataset_09272018",
      "description": "This dataset provides reduced data for all tables and figures in the journal publication. \n\nThis dataset is associated with the following publication:\nArcher, J., R. DeVries, and A. Imler. Chlorine Exposure During a Biological Decontamination Study in a Mock Subway Tunnel.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(7): ., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503060",
      "keyword": [
        "Indoor outdoor decontamination",
        "Decontamination",
        "Bacillus anthracis",
        "emergency response",
        "Exposure Assessment",
        "subway"
      ],
      "contactPoint": {
        "fn": "John Archer",
        "hasEmail": "mailto:archer.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Chlorine Exposure Dataset_09272018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503060/Chlorine%20Exposure%20Dataset_09272018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-27",
      "references": [
        "https://doi.org/10.1080/15459624.2019.1632462"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Sciencehub",
      "description": "The data set contains the data presented in the journal articles. The data set is in the form of an Excel spreadsheet. Each table in the journal article is a unique worksheet in the Excel spreadsheet.  The other worksheet in the spreadsheet contains the raw data used to calculate the data presented in the journal article. \n\nThis dataset is associated with the following publication:\nGallardo, V., B. Morris, and E. Rhodes. The Use of Hollow Fiber Dialysis Filters Operated in Axial Flow Mode for Recovery of Microorganisms in Large Volume Water Samples with High Loadings of Particulate Matter.   The Journal of Microbiology. Springer, New York, NY, USA,  ., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503739",
      "keyword": [
        "water security",
        "biological",
        "detection",
        "anthrax",
        "wash water"
      ],
      "contactPoint": {
        "fn": "Vicente Gallardo",
        "hasEmail": "mailto:gallardo.vincente@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503739/Data%20for%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-29",
      "references": [
        "https://doi.org/10.1016/j.mimet.2019.04.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503739/documents/Data%20Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Latitudinal patterns shelf fauna SCIHUB",
      "description": "The dataset includes benthic infaunal abundance data derived from the EPA National Coastal Assessment and Southern California Coastal Water Research Program Bight ’03 studies west coast shelf assessment studies in 2003, that were combined to form a composite data matrix of 255 stations by 1470 taxa.  NCA successfully sampled 146 stations from Cape Flattery, WA, to Pt. Conception, CA in the period June 1 - 26, 2003 (NOAA Cruise AR-03-01-NC), with data from one additional NCA station off Santa Catalina Island provided to the study by SCCWRP. Fifty stations each within Washington and Oregon and 47 stations from California were successfully sampled. An additional 110 stations, located within the Channel Islands National Marine Sanctuary (27) and throughout the Southern California Bight (83, Pt. Conception, CA to the Mexican border), were successfully sampled for some or all of the NCA parameters within the target depth range by participants in the Bight ’03 survey (Ranasinghe et al. 2007). Benthic macrofaunal samples were obtained from these 257 stations, but two stations (OR03-0010, CA03-4339) failed quality assurance checks, and the final total included benthic samples from 255 stations. \n\nThis dataset is associated with the following publication:\nHenkel, S., and W. Nelson. Assessment of spatial patterns in benthic macrofauna of the U.S. west coast continental shelf.   Journal of Biogeography. Blackwell Publishing, Malden, MA, USA, 45(12): 2701-2717, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1410546",
      "keyword": [
        "latitudinal gradients",
        "species richness",
        "biogeographic province",
        "benthic assemblage",
        "Sediment Contaminants",
        "Benthic Infauna",
        "NCA",
        "National Coastal Assessment",
        "Nonindigenous",
        "TOC"
      ],
      "contactPoint": {
        "fn": "Walter Nelson",
        "hasEmail": "mailto:nelson.walt@epa.gov"
      },
      "distribution": [
        {
          "title": "Latitudinal patterns shelf fauna SCIHUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1410546/Latitudinal%20patterns%20shelf%20fauna%20SCIHUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-20",
      "references": [
        "https://doi.org/10.1111/jbi.13451",
        "https://pasteur.epa.gov/uploads/10.23719/1410546/documents/Eco_Cond_Coast_Ocean_Waters.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "X-Ray absorption spectra",
      "description": "This file contains three separate spreadsheets that each contain the data used in Figures 1, 2 and 3 respectively. The data shows the oxidation state of Ce nanoparticles in or on barley roots. \n\nThis dataset is associated with the following publication:\nRico, C.M., M.G. Johnson, and M.A. Marcus. Cerium oxide nanoparticles transformation at the root-soil interface of barley (Hordeum vulgare L.).   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 5: 1807-1812, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1430274",
      "keyword": [
        "synchrotron micro x-ray flourescence",
        "nanomaterial transformation",
        "reduction",
        "nanoceria",
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "Rico et al Barley paper data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430274/Rico%20et%20al%20Barley%20paper%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-28",
      "references": [
        "https://doi.org/10.1039/c8en00316e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluoride removal data",
      "description": "The dataset includes raw data of adsorption isotherms of fluoride adsorption; adsorption kinetics of fluoride onto ferrihydrite, hydroxyapatite, and brucite; breakthrough curves; and fitting of experimental data to the Thomas equation. \n\nThis dataset is associated with the following publication:\nWallace, A.R., C. Su, and W. Sun. Adsorptive Removal of Fluoride from Water Using Nanomaterials of Ferrihydrite, Apatite, and Brucite: Batch and Column Studies.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 36(5): 634-642, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407688",
      "keyword": [
        "Fluoride removal",
        "(hydro)oxide Nanomaterials",
        "Adsorption isotherm",
        "Adsorption kinetics",
        "Desorption.",
        "Fluoride adsorption"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Wenjie Sun Fluride mansucript raw data 2017.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407688/Wenjie%20Sun%20Fluride%20mansucript%20raw%20data%202017.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-31",
      "references": [
        "https://doi.org/10.1089/ees.2018.0438"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Louisiana breeding bird survey data ",
      "description": "The data are maintained by the USGS (https://www.pwrc.usgs.gov/bbs/RawData/) and provide information on the trends and status of North American bird populations reported as population abundance indices.  This research effort analyzed Louisiana breeding bird survey data (total species and total population) for 1990 and 2014. This dataset is not publicly accessible because: It is secondary data maintained by USGS. It can be accessed through the following means: https://www.pwrc.usgs.gov/bbs/RawData/. Format: Electronic text files. \n\nThis dataset is associated with the following publication:\nEason, T., W. Chuang, S. Sundstrom, and H. Cabezas. An information theory-based approach to assessing spatial patterns in complex systems.   Entropy. MDPI AG, Basel,  SWITZERLAND, 21(2): 182, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504117",
      "keyword": [
        "breeding bird survey",
        "north america",
        "community structure",
        "USGS",
        "Louisiana",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [],
      "modified": "2019-01-15",
      "references": [
        "https://doi.org/10.3390/e21020182"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WDS Hydraulics and WQ Uncertainty Dataset",
      "description": "The GitHub site has the dataset used to create the manuscript figures, which examined which simulation parameters influenced the spread of contamination within a water distribution system. The dataset includes the values for the metrics of interest, which were extent of contamination, population impacted, extent of contamination in the unknown zone, and the population impacted in the unknown zone. These values changed according to the simulation parameter combination set that was used in modeling the affects of a contamination incident within a water distribution system. These parameters included demand, valve closure, contaminant reaction coefficient, injection start time, injection duration, and injection location (as listed in Table 1 of the paper). Two different water distribution system models were used in the paper, the KL network and the N6 network. In addition, some of the simulation model input files that were used to create the data are also provided on the GitHub site, but not all of the input files are provided since there were approximately 25 million simulations. A README file is provided on the GitHub site for more explanation of the files provided. \n\nThis dataset is associated with the following publication:\nHart, D., J.S. Rodriguez, J. Burkhardt, B. Borchers, C. Laird, R. Murray, K. Klise, and T. Haxton. Quantifying hydraulic and water quality uncertainty to inform sampling of drinking water distribution systems.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 145(1): ., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1390121",
      "keyword": [
        "contamination incidents",
        "extent of contamination",
        "Drinking water distribution system",
        "Uncertainty",
        "Water distribution system modeling"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/dbhart/wds-plume-uncertainty",
          "accessURL": "https://github.com/dbhart/wds-plume-uncertainty",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-26",
      "references": [
        "https://doi.org/10.1061/(asce)wr.1943-5452.0001005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NWCA 2011 water quality analyses dataset",
      "description": "This dataset contains water quality data and associated site information including landuse/landcover descriptions for the 2011 NWCA wetland sites at which a water sample was successfully obtained. \n\nThis dataset is associated with the following publication:\nTrebitz, A., J. Nestlerode, and A. Herlihy. USA-scale patterns in wetland water quality as determined from the 2011 National Wetland Condition Assessment.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191(262): 24 p., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407511",
      "keyword": [
        "wetlands",
        "water quality",
        "NARS"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "NWCA-WQ_EMAS2016pub_ScienceHub_DataMetadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407511/NWCA-WQ_EMAS2016pub_ScienceHub_DataMetadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-26",
      "references": [
        "https://doi.org/10.1007/s10661-019-7321-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raster outputs in support of Sea Level Affecting Marshes Model (SLAMM) projections for salt marshes of the Lower Delaware Bay",
      "description": "These raster files are associated with the SLAMM projections presented in the EPA report, \"Application of the Sea-Level Affecting Marshes Model (SLAMM) to the Lower Delaware Bay, with a Focus on Salt Marsh Habitat\" (https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NCEA&dirEntryId=344746). A subset of these projections are in turn presented in the journal article associated with the ScienceHub entry, \"Framework for assessing salt marsh vulnerability to sea level rise to support management decision making: Delaware Bay case study \".",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503846",
      "keyword": [
        "Salt marsh",
        "Vulnerability",
        "sea level rise",
        "Coastal Wetlands",
        "sea level affecting marshes model",
        "ecosystem management"
      ],
      "contactPoint": {
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/main/home.page",
          "accessURL": "https://edg.epa.gov/metadata/catalog/main/home.page",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/global/recordisplay.cfm?deid=241557",
          "accessURL": "https://cfpub.epa.gov/ncea/global/recordisplay.cfm?deid=241557",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Leaf wetness sensor data 2016 Oregon",
      "description": "Leaf wetness was measured continuously in the lower, middle, and upper canopy of one mature and one young Douglas-fir tree at five sites situated along an elevational gradient from west side of Coast Range of Oregon to west side of Cascade Range of Oregon. \n\nThis dataset is associated with the following publication:\nLan, Y., D.C. Shaw, P.A. Beedlow, E. Lee, and R.S. Waschmann. Severity of Swiss needle cast in young and mature Douglas-fir forests in western Oregon, USA.   FOREST ECOLOGY AND MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 442: 79-95, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503086",
      "keyword": [
        "needle anatomy",
        "epidemiology",
        "climate change",
        "dendrochronology",
        "Douglas-fir",
        "Pacific Decadal Oscillation",
        "Pacific Northwest",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "leafwetness2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503086/leafwetness2016.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-15",
      "references": [
        "https://doi.org/10.1016/j.foreco.2019.03.063"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ponderosa Pine Tree Ring Stable Isotopes, Oregon",
      "description": "Carbon and oxygen isotope data from annual tree rings in Ponderosa Pine collected in Oregon.  The data was used in \nUlrich, D. E. M., C. J. Still, J. R. Brooks, Y. Kim, and F. C. Meinzer. 2019. Investigating old-growth ponderosa pine physiology using tree-rings, δ13C, δ18O, and a process-based model. Ecology 100:e02656. \n\nThis dataset is associated with the following publication:\nUlrich, D.E.M., C. Still, J.R. Brooks, Y. Kim, and F. Meinzer. Investigating old-growth ponderosa pine physiology using tree-rings, δ13C, δ18O, and a process-based model.   ECOLOGY. Ecological Society of America, Ithaca, NY, USA, 100(6): e02656, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1416745",
      "keyword": [
        "Tree growth",
        "stable isotopes",
        "plant physiology",
        "tree ring chronologies",
        "dendrochronoloy"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "Brooks Metolius Treering Isotopes Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1416745/Brooks%20Metolius%20Treering%20Isotopes%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-22",
      "references": [
        "https://doi.org/10.1002/ecy.2656"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biodesalination of Brackish Water Using Halophytic Algae",
      "description": "The raw data from experiments on the pilot-scale photobio-reactor that represent growth of Euglena deses and Chlorella vulgaris and salt uptake. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., A.A. Hassan, and A.E. Badawy. Bio-desalination of brackish and seawater using halophytic algae.   DESALINATION. Elsevier Science Ltd, New York, NY, USA, 465: 104-113, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504007",
      "keyword": [
        "desalination",
        "halophyte algae",
        "Scenedesmus sp.",
        "and Chlorella vulgaris"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "S-17722-JA-1-0_Supplemental Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504007/S-17722-JA-1-0_Supplemental%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-27",
      "references": [
        "https://doi.org/10.1016/j.desal.2019.05.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nanocomposite Degradation and nanorelease",
      "description": "Data. \n\nThis dataset is associated with the following publication:\nHan, C., E. Sahle-Demessie, E. Varughese, and H. Shi. Polypropylene–MWCNT composite degradation, and release, detection and toxicity of MWCNTs during accelerated environmental aging.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 6: 1876-1894, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503842",
      "keyword": [
        "Multi-walled carbon nanotubes (MWCNTs)",
        "Polypropylene-MWCNT",
        "Polymer weathering",
        "nanorelease",
        "single particle-ICP-MS",
        "nanotoxicity"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "PP#2Electronic Supplemental Information_BACKUP.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503842/PP%232Electronic%20Supplemental%20Information_BACKUP.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-01",
      "references": [
        "https://doi.org/10.1039/c9en00153k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503842/documents/Data%20Dictionary_MWCNT_PlolymerComposite.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Exposure Pathway Prediction for Screening and Priority-Setting",
      "description": "We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. \n\nThis dataset is associated with the following publication:\nRing, C., J. Arnot, D. Bennett, P. Egeghy, P. Fantke, L. Huang, K. Isaacs, O. Jolliet, K. Phillips, P. Price, H. Shin, J. Westgate, R. Setzer, and J. Wambaugh. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 719-732, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503182",
      "keyword": [
        "SEEM",
        "NHANES",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SupTable-all.chem.preds-2018-11-28.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503182/SupTable-all.chem.preds-2018-11-28.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupplementalTables2-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503182/SupplementalTables2-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "seem3-supplemental-120418-UNLINKED.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503182/seem3-supplemental-120418-UNLINKED.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-04",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04056"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data on enhanced microbial degradation of PAHs combined with chemical oxidation ",
      "description": "The data associated with the journal article are based upon a series of laboratory experiments on PAH-contaminated soils including: 1) Physical and chemical peoperties of soils used in the study; Removal efficiency of coal gas plant soil (G) of PAHs for different chemical oxidants (%); Removal efficiency of coking plant soil (C) of PAHs for different chemical oxidants (%); 2) Changes of microbe counts in soil G under different treatment conditions; Changes of microbe counts in soil C under different treatment conditions; Concentration of total PAHs in soil G under various oxidations; Concentration of total PAHs in soil C under various oxidations. \n\nThis dataset is associated with the following publication:\nLiao, X., Z. Wu, Y. Li, J. Luo, and C. Su. Enhanced degradation of polycyclic aromatic hydrocarbons by indigenous microbes combined with chemical oxidation.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 213: 551-558, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504100",
      "keyword": [
        "soil",
        "polycyclic aromatic hydrocarbons",
        "microbe",
        "Chemical oxidation",
        "Combined strategies"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Xiaoyong Liao Chemosphere 2018 paper 3 tables 719.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504100/Xiaoyong%20Liao%20Chemosphere%202018%20paper%203%20tables%20719.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Xiaoyong Liao Chemosphere 2018 paper 4 figures 719.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504100/Xiaoyong%20Liao%20Chemosphere%202018%20paper%204%20figures%20719.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Xiaoyong Liao Chemosphere 2018 paper microbe counts & PAH concentrations 719.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504100/Xiaoyong%20Liao%20Chemosphere%202018%20paper%20microbe%20counts%20%26%20PAH%20concentrations%20719.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-17",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2018.09.092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Antigen presentation co-culture_ScienceHub_Data.xlsx",
      "description": "This file contains the analyzed dataset for each figure/table in the manuscript. \n\nThis dataset is associated with the following publication:\nLehmann , D., and W. Williams. Development and Utilization of a Unique In Vitro Antigen Presentation Co-culture Model for Detection of Immunomodulating Substances..   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 53(1): 20-28, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407674",
      "keyword": [
        "immunosuppression",
        "in vitro",
        "alternative",
        "antigen presentation",
        "immunotoxicity"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Antigen presentation co-culture_Science Hub_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407674/Antigen%20presentation%20co-culture_Science%20Hub_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-12",
      "references": [
        "https://doi.org/10.1016/j.tiv.2018.06.025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Draft Escherichia bacteriophage genome sequences from raw wastewater",
      "description": "Somatic coliphages are alternative indicators of fecal pollution and are attractive surrogate for viral pathogens. Here we report the draft genome sequences of three replicate plaques from a novel myoviridae bacteriophage isolated from raw wastewater. Genomes were similar to felix01virus phage and are predicted to contain up to 159 protein coding genes. \n\nThis dataset is associated with the following publication:\nKeely, S., M. Herrmann, A. Korajkic, N. Brinkman, B. McMinn, S. Fout, and E. Villegas. Genome Sequences of Escherichia Bacteriophages Isolated from Raw Wastewater.   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(26): e00135-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503159",
      "keyword": [
        "somatic coliphage",
        "wastewater",
        "indicator",
        "Illumina sequencing"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "LMP25_spades_contigs.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503159/LMP25_spades_contigs.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LMP33_spades_contigs.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503159/LMP33_spades_contigs.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LMP34_spades_contigs.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503159/LMP34_spades_contigs.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-08",
      "references": [
        "https://doi.org/10.1128/mra.00135-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental fate of multiwalled carbon nanotubes and graphene oxide across different aquatic ecosystems",
      "description": "Excel files and text files with lab results and model time series output data. \n\nThis dataset is associated with the following publication:\nAvant, B., D. Bouchard, H. Hsieh, Y. Han, J. Spear, R. Zepp, C. Knightes, X. Chang, and B. Acrey. Environmental fate of multiwalled carbon nanotubes and graphene oxide across different aquatic ecosystems.   NanoImpact. Elsevier B.V., Amsterdam,  NETHERLANDS, 13: 1-12, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503966",
      "keyword": [
        "nanomaterials",
        "WASP",
        "fate and transport",
        "multiwalled carbon nanotubes",
        "graphene oxide"
      ],
      "contactPoint": {
        "fn": "Brian Avant",
        "hasEmail": "mailto:avant.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Barco_MWCNT_SS_and_Recovery_WC.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503966/Barco_MWCNT_SS_and_Recovery_WC.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Barco_MWCNT_SS_and_Recovery_DS.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503966/Barco_MWCNT_SS_and_Recovery_DS.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Barco_MWCNT_SS_and_Recovery_SB.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503966/Barco_MWCNT_SS_and_Recovery_SB.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Barco_GOrGO_SS_and_Recovery_WC.csv",
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      "modified": "2018-12-20",
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        "https://doi.org/10.1016/j.impact.2018.11.001"
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                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "Data for Composition and Structural Information of Nitroaromatic Compounds in Organic Aerosols from Laboratory Biomass Burning",
      "description": "Dataset containing the composition and structural description of nitroaromatic compounds from biomass burning emissions. \n\nThis dataset is associated with the following publication:\nXie, M., X. Chen, M. Hays, and A. Holder. Composition and light absorption of N-containing aromatic compounds in organic aerosols from laboratory biomass burning.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 19(5): 2899-2915, (2018).",
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      "bureauCode": [
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      "programCode": [
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      "identifier": "https://doi.org/10.23719/1500897",
      "keyword": [
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      "contactPoint": {
        "fn": "Amara Holder",
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      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500897/Data%20Sheets%20for%20Tables%20and%20Figures.xlsx",
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                "name": "U.S. Government"
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          }
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      "accessRights": "public"
    },
    {
      "title": "Nanoparticle Results Dataset",
      "description": "The dataset contains journal article table and figure results. \n\nThis dataset is associated with the following publication:\nSalih, H., A. El Badawy, T. Tolaymat, and C. Patterson. Removal of Stabilized Silver Nanoparticles from Surface Water by Conventional Treatment Processes.   Advances in Nanoparticles. Scientific Research Publishing, Inc., Irvine, CA, USA, 8(2): 21-35, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
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      "identifier": "https://doi.org/10.23719/1500913",
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        "fn": "Craig Patterson",
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      },
      "distribution": [
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                "name": "U.S. Government"
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      "title": "POU/POE PFAS JAWWA Datasets of Tables and Figures",
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      "bureauCode": [
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      "identifier": "https://doi.org/10.23719/1502556",
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        "fn": "Craig Patterson",
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      "distribution": [
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          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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      "title": "Compilation of all analytical data for field sampling",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503072/Full%20Dataset%20-%20Flint%20Filter%20Paper.xlsx",
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CRE wastewater survey",
      "description": "Isolates listed by unique identifiers and levels of resistance to various antibiotics. \n\nThis dataset is associated with the following publication:\nHoelle, J., J.R. Johnson, B. Johnston, B. Kinkle, L. Boczek, H. Ryu, and S. Hayes. Survey of US wastewater for carbapenem-resistant Enterobacteriaceae.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 17(2): 219-226, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1433344",
      "keyword": [
        "carbapenem-resistant E. coli",
        "carbapenemase and extended spectrum beta lactamase genes",
        "wastewater treatment",
        "Phylotyping"
      ],
      "contactPoint": {
        "fn": "Jill Hoelle-Schwalbach",
        "hasEmail": "mailto:hoelle.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "Survey of WWTP for CRE1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433344/Survey%20of%20WWTP%20for%20CRE1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-25",
      "references": [
        "https://doi.org/10.2166/wh.2019.165"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Field data to reveal passively generated ecosystem services from urban landscapes",
      "description": "This dataset is comprised of urban soil physical, chemical characteristics for soils assessed in Detroit MI. These data are related to ecosystem services.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503847",
      "keyword": [
        "Green Infrastructure",
        "stormwater",
        "water quality",
        "Black Carbon",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Detroit_Land_Coverage_By_Type_20181011.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503847/Detroit_Land_Coverage_By_Type_20181011.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DetroitGreenSpace_SorptionCapacityCalculation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503847/DetroitGreenSpace_SorptionCapacityCalculation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1_PGI.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503847/Table%201_PGI.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EastWest_FormattedTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503847/EastWest_FormattedTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2014 Taylorsville-Harsha Lakes Flyover - Water Chemsitry Data Used for Portability Study",
      "description": "This data is a large suite of coincident surface water observations for many different physical, chemical, and biological properties of the water in two reservoirs; one in central Kentucky (Taylorsville Lake) and the other in Southwest Ohio (Harsha Lake) at the times a flyover occurred to take hyperspectral images of each lake’s surface. Sites were visited across each reservoir within 2 hours of image acquisition by using several boat crews. The data could be useful to others with interest in remote sensing of water quality or studying spatial patterns of water quality at one particular point in time from two different reservoirs. \n\nThis dataset is associated with the following publication:\nJohansen, R., R. Beck, J. Nowosad, C. Nietch, M. Xu, S. Shu, B. Yang, H. Liu, E. Emery, M. Reif, J. Harwood, J. Young, D. Macke, M. Martin, G. Stillings, R. Stumpf, and H. Su. Evaluating the Portability of Satellite Derived Chlorophyll-a Algorithms for Temperate Inland Lakes using Airborne Hyperspectral Imagery and Dense Surface Observations.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 76: 35-46, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1412548",
      "keyword": [
        "Chlorophyll-a",
        "algal bloom",
        "hyperspectral",
        "Algorithms",
        "Temperate Lakes"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "2014Taylorsville-HarshaLakeFlyover_WaterChemistryDataUsedForPortabilityStudy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412548/2014Taylorsville-HarshaLakeFlyover_WaterChemistryDataUsedForPortabilityStudy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-11",
      "references": [
        "https://doi.org/10.1016/j.hal.2018.05.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2014 Harsha Lake Flyover - Water Chemsitry Data Used For Turbidity Study",
      "description": "This data is a large suite of coincident surface water observations for many different physical, chemical, and biological properties of the water in a reservoir in Southwest Ohio (Harsha Lake) at the time a flyover occurred to take hyperspectral images of the lake’s surface. 44 sites were visited across the reservoir within 2 hours. The data could be useful to others with interest in remote sensing of water quality or studying spatial patterns of water quality at one particular point in time. \n\nThis dataset is associated with the following publication:\nBeck, R., M. Xu, S. Zhan, R. Johansen, E. Emery, M. Reif, C. Nietch, D. Macke, R. Stumpf, and M. Martin. Comparison of Satellite Reflectance Algorithms for Estimating Turbidity and Cyanobacterial Concentrations in Productive Freshwaters Using Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(3): 413-433, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1412543",
      "keyword": [
        "cyanobacteria",
        "turbidity",
        "total suspended solids",
        "algal bloom",
        "harmful algal bloom",
        "algorithm",
        "satellite",
        "hyperspectral",
        "multispectral",
        "phycocyanin",
        "BGA",
        "TSS"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "2014HarshaLakeFlyoverS_WaterChemistryDataUsedForTurbidityStudy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1412543/2014HarshaLakeFlyoverS_WaterChemistryDataUsedForTurbidityStudy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-11",
      "references": [
        "https://doi.org/10.1016/j.jglr.2018.09.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Shepherd Creek Data for LRFD application demonstration",
      "description": "This data is stream flow and nutrient data (dissolved inorganic nitrogen and total phosphorus) for 6 sites in the Shepherd Creek watershed, Cincinnati, OH. The data could be useful to others with interest in studying nutrient loading in small streams draining suburban hillslopes. \n\nThis dataset is associated with the following publication:\nRiasi, S., A. Teklitz, W. Shuster, C. Nietch, and L. Yeghiazarian. Reliability-Based Water Quality Assessment with Load Resistance Factor Design: Application to TMDL.   Journal of Hydrologic Engineering. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 23(12): 1943-5584, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1417588",
      "keyword": [
        "Load Resistance Factor Design",
        "TMDL",
        "Margin of safety",
        "Watershed",
        "water quality assessment"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "ShepherdCreekDataForLRFDApplicationPaper_01182018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1417588/ShepherdCreekDataForLRFDApplicationPaper_01182018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-23",
      "references": [
        "https://doi.org/10.1061/(asce)he.1943-5584.0001722"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScID_A-08kr_Biochemical effects of Ag nanomaterials in HepG2 cells_kitchin",
      "description": "transformed raw data. \n\nThis dataset is associated with the following publication:\nKitchin, K., J. Richards, B. Robinette, K. Wallace, N. Coates, B. Castellon, E. Grulke, and J. Kou. Biochemical effects of some CeO2, SiO2, and TiO2 nanomaterials in HepG2 cells..   CELL BIOLOGY AND TOXICOLOGY. Springer, New York, NY, USA, 35(2): 129-145, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1435609",
      "keyword": [
        "HepG2",
        "liver",
        "nanomaterial",
        "Ag",
        "oxidative stress",
        "AgNO3",
        "Nanoparticle"
      ],
      "contactPoint": {
        "fn": "Kirk Kitchin",
        "hasEmail": "mailto:kitchin.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "ScID_A-08kr_Biochemical effects of Ag nanomaterials in HepG2 cells_kitchin.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435609/ScID_A-08kr_Biochemical%20effects%20of%20Ag%20nanomaterials%20in%20HepG2%20cells_kitchin.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1007/s10565-018-9445-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435609/documents/ScID_A-08kr_Biochemical%20effects%20of%20Ag%20nanomaterials%20in%20HepG2%20cells_kitchin.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "HTTK R Package v1.0",
      "description": "httk: High-Throughput Toxicokinetics\n\nFunctions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") using data obtained from relatively high throughput, in vitro studies. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability and measurement limitations. Functions are also provided for exporting \"PBTK\" models to \"SBML\" and \"JARNAC\" for use with other simulation software. These functions and data provide a set of tools for in vitro-in vivo extrapolation (\"IVIVE\") of high throughput screening data (e.g., ToxCast) to real-world exposures via reverse dosimetry (also known as \"RTK\"). \n\nThis dataset is associated with the following publication:\nPearce , R., C. Strope , W. Setzer , N. Sipes , and J. Wambaugh. (Journal of Statistical Software) HTTK: R Package for High-Throughput Toxicokinetics.   Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 79(4): 1-26, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407635",
      "keyword": [
        "pbpk",
        "PBPK-reverse dosimetry",
        "physiologically-based pharmacokinetic model",
        "toxicokinetics",
        "ToxCast",
        "r package",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-25",
      "references": [
        "https://doi.org/10.18637/jss.v079.i04"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for non-targeted urinary biomarkers",
      "description": "This dataset contains a summary of compounds found in human urine samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information.   The analyzed data cannot be made publicly available. Format: This dataset contains a summary of compounds found in human urine samples. \n\nThis dataset is associated with the following publication:\nO’Lenick, C., J. Pleil, M. Stiegel, J. Sobus, and A. Wallace. Detection and analysis of endogenous polar volatile organic compounds (PVOCs) in urine for human exposome research.   BIOMARKERS. Taylor & Francis, Inc., Philadelphia, PA, USA, 24(3): 240-248, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500032",
      "keyword": [
        "Adverse outcome pathways",
        "biomarkers",
        "gas chromatography",
        "human exposome",
        "mass spectroscopy",
        "non-targeted analysis",
        "urinary metabolites"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2018-04-30",
      "references": [
        "https://doi.org/10.1080/1354750x.2018.1548031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Targeted GC-MS Analysis of Firefighters' Exhaled Breath",
      "description": "This dataset includes a table of the VOC concentrations detected in firefighter breath samples. QQ-plots for benzene, toluene, and ethylbenzene levels in breath samples as well as box-and-whisker plots of pre-, post-, and 1 h post-exposure breath levels of VOCs for firefighters participating in attack, search, and outside ventilation positions are provided. Graphs detailing the responses of individuals to pre-, post-, and 1 h post-exposure concentrations of benzene, toluene, and ethylbenzene are shown. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed tables and graphs can be made publicly available. Format: The original dataset contains identification information for the firefighters who participated in the controlled structure burns. The analyzed tables and graphs can be made publicly available. \n\nThis dataset is associated with the following publication:\nWallace, A., J. Pleil, K. Oliver, D. Whitaker, S. Mentese, K. Fent, and G. Horn. Targeted GC-MS analysis of firefighters’ exhaled breath: Exploring biomarker response at the individual level.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(5): 355-366, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500031",
      "keyword": [
        "biomarkers",
        "firefighters",
        "Gas chromatography-mass spectrometry (GC/MS)",
        "occupational exposure",
        "thermal desorption (td)",
        "volatile organic compounds (vocs)"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [],
      "modified": "2018-04-30",
      "references": [
        "https://doi.org/10.1080/15459624.2019.1588973"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemistry of restored urban streams in Washington DC",
      "description": "Field and lab data associated with an assessment of regenerative stormwater conveyance systems as a type of stream restoration intended to reduce nutrients in urban streams.  Includes data on nitrogen, phosphorus, carbon, metals, dissolved oxygen, pH, and fluorescence data. \n\nThis dataset is associated with the following publication:\nDuan, S., P. Mayer, S. Kaushal, B. Wessel, and T. Johnson. Regenerative Stormwater Conveyance (RSC) for reducing nutrients in urban stormwater runoff depends upon carbon quantity and quality.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 652: 134-146, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500028",
      "keyword": [
        "Regenerative stormwater conveyance",
        "nitrogen",
        "phosphorus",
        "organic matter",
        "dissolved oxygen"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "NRC Data report.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500028/NRC%20Data%20report.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.10.197"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Science Hub Dataset for MS2 Paper",
      "description": "Recovery and decontamination data from bench- and operational-scale testing designed to evaluate virucidal chemical efficacy. \n\nThis dataset is associated with the following publication:\nWyrzykowska-Ceradini, B., W. Calfee, A. Touati, J. Wood, L. Mickelsen, L. Miller, M. Colby, C. Slone, N. Griffin-Gatchalian, S. Gayatri Pongur, and D. Aslett. The Use of Bacteriophage MS2 for Development and Application of a Virucide Decontamination Test Method for Porous and Heavily Soiled Surfaces.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA,  1-31, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502636",
      "keyword": [
        "bacteriophage MS2",
        "FMDV surrogate",
        "agricultural surfaces",
        "synthetic agricultural grime",
        "surface decontamination",
        "pH-amended bleach",
        "citric acid"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Master Science Hub file for MS2 paper 030218.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502636/Master%20Science%20Hub%20file%20for%20MS2%20paper%20030218.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CalfeeMichael_A-9kdj_QASum_20180911.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502636/CalfeeMichael_A-9kdj_QASum_20180911.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-25",
      "references": [
        "https://doi.org/10.1111/jam.14406"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Saili_AOP43_Systems Modeling of Developmental Vascular Toxicity",
      "description": "The AOP concept was used to translate ToxCast high-throughput screening data into a ToxPi matrix of 1058 chemicals x 24 features ordered by predicted potential to disrupt angiogenesis. \n\nThis dataset is associated with the following publication:\nSaili, K., J. Franzosa, N. Baker, R. Ellis-Hutchings, R. Settivari, E. Carney, R. Spencer, T. Zurlinden, N. Kleinstreuer, S. Li, M. Xia, and T. Knudsen. Systems Modeling of Developmental Vascular Toxicity.   Current Opinion in Toxicology. Elsevier BV, AMSTERDAM,  NETHERLANDS, 15(1): 55-63, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503433",
      "keyword": [
        "adverse outcome pathway",
        "angiogenesis",
        "5HPP-33",
        "TNP-470",
        "ToxCast",
        "Tox21",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Saili/jfranzos",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Saili/jfranzos",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-27",
      "references": [
        "https://doi.org/10.1016/j.cotox.2019.04.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Role of Fuel Type and Combustion Phase on the Toxicity of Biomass Smoke Following Inhalation Exposure in Mice",
      "description": "This dataset includes physico-chemical characteristics of biomass smoke of three different fuels (oak, peat, and eucalyptus) generated from a tube furnace system at two different combustion phases (smoldering and flaming) and also provides comparisons of lung toxicity outcomes after inhalation and aspiration exposures to the biomass smoke. \n\nThis dataset is associated with the following publication:\nKim, Y.H., C. King, Q. Krantz, M.M. Hargrove, I. George, J. McGee, L. Copeland, M. Hays, M. Landis, M. Higuchi, S. Gavett, and M. Gilmour. The role of fuel type and combustion phase on the toxicity of biomass smoke following inhalation exposure in mice.   Archives of Toxicology. Springer, New York, NY, USA, 93(6): 1501-1513, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503716",
      "keyword": [
        "Instillation exposure",
        "inhalation exposure",
        "Inhalation dosimetry model",
        "Biomass combustion",
        "Wildland Fire",
        "Inhalation exposures",
        "Lung toxicity",
        "Biomass smoke",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Matthew Gilmour",
        "hasEmail": "mailto:gilmour.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Research Data_A-6hf2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503716/Research%20Data_A-6hf2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-16",
      "references": [
        "https://doi.org/10.1007/s00204-019-02450-5"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503716/documents/Dictionary_A-6hf2.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Honda_Wambaugh_Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions",
      "description": "All relevant data are within the manuscript, its Supporting Information files, and the httk R software package v1.9.2. \n\nThis dataset is associated with the following publication:\nHonda, G., R. Pearce, L. Pham, R. Setzer, B. Wetmore, N. Sipes, J. Gilbert, B. Franz, R. Thomas, and J. Wambaugh. Using the Concordance of In Vitro and In Vivo Data to Evaluate Extrapolation Assumptions.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): 1-33, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504043",
      "keyword": [
        "environmental chemicals",
        "in vitro to in vivo extrapolation (IVIVE)",
        "IVIVE",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-25",
      "references": [
        "https://doi.org/10.1371/journal.pone.0217564"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mosaic Land Use in WRF-Noah LSM",
      "description": "Analyzed output from WRF runs which use the Noah land surface model's default treatment of land use and the more novel, mosaic land use representation. \n\nThis dataset is associated with the following publication:\nMallard, M., and T. Spero. Effects of Mosaic Land Use on Dynamically Downscaled WRF Simulations of the Contiguous U.S.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 124(16): 9117-9140, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502587",
      "keyword": [
        "WPF",
        "dynamical downscaling",
        "land use",
        "mosaic land use",
        "Noah LSM"
      ],
      "contactPoint": {
        "fn": "Megan Mallard",
        "hasEmail": "mailto:mallard.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IEMB/MMallard_ORD-027784",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IEMB/MMallard_ORD-027784",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-10",
      "references": [
        "https://doi.org/10.1029/2018jd029755"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Judson_RefChem_InVitro_Assays",
      "description": "This supplemental material describes two sets of methods; first, it briefly describes the process used to create the EPA’s LitDB database, and second, it describes how a subset of records were extracted from LitDB to be included in the reference chemical database RefChemDB.  LitDB is a database of data elements extracted from the xml download of all MEDLINE PubMed records. Perl scripts are used to extract the identifying information from each citation record, information like title, abstract, authors and PubMed ID.  Additionally, the MeSH (Medical subject heading) terms are extracted with subheadings (also known as qualifiers).  \nThe Perl scripts extract to text files which are then loaded into a mysql database. \nThe MeSH heading and descriptor tree files are also downloaded into mysql tables. They are available at https://www.nlm.nih.gov/mesh/filelist.html.   \nTo make the data more useful for research in chemicals, the data is passed stepwise through a series of algorithms. \n\nThis dataset is associated with the following publication:\nJudson, R., R. Thomas, N. Baker, A. Simha, X.M. Howey, C. Marable, N. Kleinstreuer, and K. Houck. Workflow for Defining Reference Chemicals for Assessing Performance of In Vitro Assays (Altex).   ALTEX. Society ALTEX Edition, Kuesnacht,  SWITZERLAND, 36(2): 261-276, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503083",
      "keyword": [
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Reference_Chemicals_for_In_Vitro_Assays/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Judson/Reference_Chemicals_for_In_Vitro_Assays/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-12",
      "references": [
        "https://doi.org/10.14573/altex.1809281"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Willingness to Pay for Vehicle Attributes 2010618",
      "description": "For multiple studies of vehicle demand, the parameters reported in the studies were used to calculate willingness to pay for a range of vehicle attributes, including performance and fuel economy. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504203",
      "keyword": [
        "Vehicle choice",
        "fuel efficiency",
        "vehicle attribute",
        "willingness to pay"
      ],
      "contactPoint": {
        "fn": "Gloria Helfand",
        "hasEmail": "mailto:helfand.gloria@epa.gov"
      },
      "distribution": [
        {
          "title": "WTP_masterfile_05-19-17dlg rev20180618.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504203/WTP_masterfile_05-19-17dlg%20rev20180618.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-18",
      "references": [
        "https://dx.doi.org/10.1016/j.tra.2018.09.013",
        "https://pasteur.epa.gov/uploads/10.23719/1504203/documents/420r18016.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1504203/documents/420r18017.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Content analysis of quality of vehicle technologies and operational characteristics in automobile reviews",
      "description": "Auto reviews for model-year 2014 and 2015 vehicles were critically read to determine whether vehicle technologies and operational characteristics were evaluated as positive, negative, or neutral. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504205",
      "keyword": [
        "Light-duty Vehicles",
        "fuel economy standards",
        "vehicle greenhouse gas standards",
        "content analysis",
        "vehicle fuel-saving technology",
        "vehicle operational characteristics"
      ],
      "contactPoint": {
        "fn": "Gloria Helfand",
        "hasEmail": "mailto:helfand.gloria@epa.gov"
      },
      "distribution": [
        {
          "title": "Huang Data_for_Analysis_20160208.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504205/Huang%20Data_for_Analysis_20160208.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-14",
      "references": [
        "https://dx.doi.org/10.1016/j.trd.2018.08.009",
        "https://pasteur.epa.gov/uploads/10.23719/1504205/documents/WA3-01_FinalReport.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1504205/documents/WA4-08_FinalReport_05_24_2016.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Consumer Choice model data to compare MY 2008 vehicle attributes with those for MYs 2010 and 2016",
      "description": "CVCM_Input_testRun02.0P 04302014.xls starts with MY 2008 vehicles and adds changes associated with MY 2010 vehicles. CVCM_Input_TestRun_2016v3_11212018.xls also starts with MY 2008 vehicles and adds changes associated with MY 2016 vehicles. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504206",
      "keyword": [
        "Vehicle demand",
        "Consumer vehicle choice modeling",
        "Validation",
        "Discrete choice modeling"
      ],
      "contactPoint": {
        "fn": "Gloria Helfand",
        "hasEmail": "mailto:helfand.gloria@epa.gov"
      },
      "distribution": [
        {
          "title": "CVCM_Input_TestRun02.0P 04302014.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504206/CVCM_Input_TestRun02.0P%2004302014.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CVCM_Input_TestRun_2016v3_11212018.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504206/CVCM_Input_TestRun_2016v3_11212018.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-21",
      "references": [
        "https://dx.doi.org/10.1016/j.enpol.2019.02.051",
        "https://pasteur.epa.gov/uploads/10.23719/1504206/documents/CCM_Setup_Aug2012.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1504206/documents/CCM%20Supporting%20File%20Note.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504206/documents/420b12052.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial Variation of Bioturbation and Physical Mixing in Louisiana Continental Shelf Hypoxic Zone",
      "description": "Sediment chemistry and  data used to interpret sediment profiling camera images. \n\nThis dataset is associated with the following publication:\nDevereux, R., J. Lehrter, G. Cicchetti, D. Beddick, D. Yates, B. Jarvis, J. Aukamp, and M. Hoglund. Spatially Variable Physical Energy and Bioturbation Drive the Biogeochemical Seascape in the Louisiana Continental Shelf Hypoxic Zone.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 143(2): 151-169, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407675",
      "keyword": [
        "chemistry infauna",
        "sediments",
        "Gulf of Mexico",
        "Hypoxia",
        "bioturbation",
        "Benthic Infauna"
      ],
      "contactPoint": {
        "fn": "Richard Devereux",
        "hasEmail": "mailto:devereux.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Sulfate Reduction Rates.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/Sulfate%20Reduction%20Rates.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Devereux-A-08kt_Sediment_Chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/Devereux-A-08kt_Sediment_Chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sample Stations.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/Sample%20Stations.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/Deverreux_A-08kt_Table_S1_10cm_avgs.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "ESM Table 2 p values.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/ESM%20Table%202%20p%20values.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESM Table 3 10 cm avgs.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/ESM%20Table%203%2010%20cm%20avgs.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESM Table 4 Sediment Chemistry ANOVA.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/ESM%20Table%204%20Sediment%20Chemistry%20ANOVA.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESM Table 1 (large) SPI Summary Data Calculations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/ESM%20Table%201%20%28large%29%20SPI%20Summary%20Data%20Calculations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESM Figures 1 - 4 jcl.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407675/ESM%20Figures%201%20-%204%20jcl.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2017-10-06",
      "references": [
        "https://doi.org/10.1007/s10533-019-00539-8"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
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      },
      "accessRights": "public"
    },
    {
      "title": "Microbiota alter metabolism and mediate neurodevelopmental toxicity of 17beta-estradiol",
      "description": "Effects of developmental 17beta-estradiol exposure on microbiota and behavior in zebrafish. \n\nThis dataset is associated with the following publication:\nCatron, T., A. Swank, L. Wehmas, D. Phelps, S. Keely, N. Brinkman, J. McCord, R. Singh, J. Sobus, C. Wood, M. Strynar, E. Wheaton, and T. Tal. Microbiota alter metabolism and mediate neurodevelopmental toxicity of 17β-estradiol.   Scientific Reports. Nature Publishing Group, London,  UK, 9: Article number 7064, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502490",
      "keyword": [
        "microbiome",
        "zebrafish",
        "estradiol",
        "behavior"
      ],
      "contactPoint": {
        "fn": "Tamara Tal",
        "hasEmail": "mailto:tal.tamara@epa.gov"
      },
      "distribution": [
        {
          "title": "Tal-Catron_A-1rnh_MB3Dataset_20180720.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502490/Tal-Catron_A-1rnh_MB3Dataset_20180720.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-23",
      "references": [
        "https://doi.org/10.1038/s41598-019-43346-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of Scaling Factor Variability on Risk Relevant Outcomes in Children",
      "description": "This dataset contains physiologically-based (PBPK) model code and parameter settings supporting the manuscript titled \"THE IMPACT OF SCALING FACTOR VARIABILITY ON RISK-RELEVANT PHARMACOKINETIC OUTCOMES IN CHILDREN:  A CASE STUDY USING BROMODICHLOROMETHANE (BDCM)\". \n\nThis dataset is associated with the following publication:\nKenyon, E., J. Lipscomb, R. Pegram, B. George, and R. Hines. THE IMPACT OF SCALING FACTOR VARIABILITY ON RISK-RELEVANT PHARMACOKINETIC OUTCOMES IN CHILDREN:  A CASE STUDY USING BROMODICHLOROMETHANE (BDCM).   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  167(2): 347-359, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407661",
      "keyword": [
        "in vitro to in vivo extrapolation (IVIVE)",
        "age-related susceptibility",
        "scaling factors",
        "pediatric",
        "children",
        "trihalomethanes",
        "bromodichloromethane",
        "variability",
        "global sensitivity analysis"
      ],
      "contactPoint": {
        "fn": "Elaina Kenyon",
        "hasEmail": "mailto:kenyon.elaina@epa.gov"
      },
      "distribution": [
        {
          "title": "ModelFile_BDCM_peds.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407661/ModelFile_BDCM_peds.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ModelParameters_PedsScalingVariability.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407661/ModelParameters_PedsScalingVariability.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-02",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy236",
        "https://pasteur.epa.gov/uploads/10.23719/1407661/documents/PedsScalingFactorVariability_ModelSettings%26Inputs.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1407661/documents/SupplementalData_PedsScalingVariability.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407661/documents/DataDictionary_PediatricScalingVariability.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro intestinal toxicity of cppper oxide nanoparticles in rat and human models",
      "description": "Dose response viability data of rat and human intestinal cells exposed to copper oxide nanoparticles (CuO, Cu2O), CuSO4 and CuCl (rat cells only).  Assays examining a potential mechanism of toxicity were included (generation of H2O2 and loss of GSH) and the effect on mitochondria.  Dissolution of CuO and Cu2O nanoparticles was also examined. \n\nThis dataset is associated with the following publication:\nHenson, T., J. Navratilova, A. Tennant, K. Bradham, K. Rogers, and M. Hughes. In vitro intestinal toxicity of copper oxide nanoparticles in rat and human cell models.   Nanotoxicology. Informa Healthcare, London,  UK, 13(6): 795-811, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504038",
      "keyword": [
        "intesine",
        "in vitro",
        "Copper",
        "copper nanoparticles",
        "cytotoxicity"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "Copper oxide nanoparticles and gastrointestinal cells.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504038/Copper%20oxide%20nanoparticles%20and%20gastrointestinal%20cells.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-03",
      "references": [
        "https://doi.org/10.1080/17435390.2019.1578428"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tong EPA smog manuscript dataset",
      "description": "cardiovascular responses of exposure to simulated smog atmospheres in   animals. \n\nThis dataset is associated with the following publication:\nTong, H., J. Krug, T. Krantz, C. King, M. Hargrove, I. Gilmour, and S. Gavett. Inhalation of Simulated Smog Atmospheres Affects Cardiac Function in Mice#.   Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 18(6): 569-578, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502469",
      "keyword": [
        "cardiac function",
        "cardiac contractility",
        "simulated smog atmospheres",
        "photochemical reaction"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "TONG EPA smog manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502469/TONG%20EPA%20smog%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-10",
      "references": [
        "https://doi.org/10.1007/s12012-018-9469-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genome Sequence Data Set01",
      "description": "The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of four Campylobacter spp. isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., N. Ashbolt, J. Griffith, J. Santo Domingo, and J. Lu. Whole-Genome Sequencing of Four Campylobacter strains Isolated from Gull Excreta collected from Hobie Beach (Oxnard, CA, USA).   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(32): e00560-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503520",
      "keyword": [
        "draft genome",
        "isolates",
        "assembly",
        "Campylobacter",
        "Larus californicus",
        "California gull",
        "Antibiotic Resistance Genes"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "Genome_Set01.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503520/Genome_Set01.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Genome_Set01.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503520/Genome_Set01.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA526628",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA526628",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-21",
      "references": [
        "https://doi.org/10.1128/mra.00560-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Glucocorticoid Ligand Mixtures Bioassay 1",
      "description": "Raw data for glucocorticoid receptor ligand exposure experiments. \n\nThis dataset is associated with the following publication:\nMedlockKakaley, E., M. Cardon, E. Gray, P. Hartig, and V. Wilson. Generalized concentration addition model predicts glucocorticoid activity bioassay responses to environmentally detected receptor-ligand mixtures.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,   252-263, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502578",
      "keyword": [
        "glucocorticoid receptor",
        "partial agonist",
        "chemical mixtures",
        "generalized concentration addition model",
        "effects-based screening"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
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          "title": "Surporting infomation_v3.2_clean.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434266/Surporting%20infomation_v3.2_clean.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "8-2-MC-LR-Degradation-Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434266/8-2-MC-LR-Degradation-Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-24",
      "references": [
        "https://doi.org/10.1021/acs.est.8b00034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-6wx1_dataset_20190625",
      "description": "Data corresponding to the figures in the paper.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503993",
      "keyword": [
        "cesium",
        "dirty bomb",
        "radioactivity",
        "nuclear power plant",
        "improvised nuclear device",
        "IWATERS",
        "Waste Water Treatment"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-6wx1_dataset_20190625.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503993/MagnusonMatthew_A-6wx1_dataset_20190625.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2008 average fine particulate matter (PM2.5) concentrations by county",
      "description": "This file provides annual average concentration of PM2.5, by county, for the year 2008.  Definition of each variable is provided in the first row for each column.  This file was prepared for use with BenMAP-CE version 1.3.4.  Information on BenMAP-CE (including downloads of the current version of the model, manuals and training materials) available at:  https://www.epa.gov/benmap. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504171",
      "keyword": [
        "air pollution",
        "preterm birth",
        "benefits",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "Daniel Axelrad",
        "hasEmail": "mailto:axelrad.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "2008 finePM county-level.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504171/2008%20finePM%20county-level.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-01",
      "references": [
        "https://dx.doi.org/10.1016/j.envres.2018.12.013"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone",
      "description": "COMBINE_CONC_B_2006_annual_O3_AVG.tar contains annual average model predicted ozone without bromine/iodine chemistry\n\nCOMBINE_CONC_C_2006_annual_O3_AVG.tar contains annual average model predicted ozone with bromine/iodine chemistry\n\nCOMBINE_CONC_D_2006_annual_O3_AVG.tar contains annual average model predicted ozone with bromine chemistry\n\nCOMBINE_CONC_E_2006_annual_O3_AVG.tar contains annual average model predicted ozone with iodine  chemistry\n\nCOMBINE_CONC_B_2006_annual_O3_NoAnth_NA_AVG.tar contains annual average model predicted ozone without bromine/iodine chemistry and without anthropogenic emission over North America \n\nCOMBINE_CONC_C_2006_annual_O3_NoAnth_NA_AVG.tar contains annual average model predicted ozone with bromine/iodine chemistry and without anthropogenic emission over North America. \n\nThis dataset is associated with the following publication:\nSarwar, G., B. Gantt, K. Foley, K. Fahey, T. Spero, D. Kang, R. Mathur, H. Foroutan, J. Xing, T. Sherwen, and A. Saiz-Lopez. Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 213: 395-404, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503054",
      "keyword": [
        "bromine",
        "iodine",
        "Ozone",
        "atmospheric chemistry",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "COMBINE_CONC_B_2006_annual_O3_NoAnth_NA_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_B_2006_annual_O3_NoAnth_NA_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_B_2006_annual_O3_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_B_2006_annual_O3_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_C_2006_annual_O3_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_C_2006_annual_O3_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_C_2006_annual_O3_NoAnth_NA_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_C_2006_annual_O3_NoAnth_NA_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_D_2006_annual_O3_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_D_2006_annual_O3_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_E_2006_annual_O3_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/COMBINE_CONC_E_2006_annual_O3_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GRIDCRO2D.108NHEMI2.44L.20060101.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/GRIDCRO2D.108NHEMI2.44L.20060101.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-24",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.06.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503054/documents/SrawarGolaml_A-sf8b_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Pipe rig paper dataset",
      "description": "The dataset was used to develop the tables and figures in the manuscript. \n\nThis dataset is associated with the following publication:\nWilliams, D., C. Parrett, M. Schock, C. Muhlen, P. Donnelly, and D. Lytle. Design and Testing of USEPA's Flint Pipe Rig for Corrosion Control Evaluation.   JOURNAL OF THE AMERICAN WATER WORKS ASSOCIATION. American Water Works Association, Denver, CO, USA, 110(10): E16-E37, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500898",
      "keyword": [
        "lead",
        "pipe loop",
        "corrosion",
        "rig"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Lead sevice line pip rig desi, fab,and samp protocol science hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500898/Lead%20sevice%20line%20pip%20rig%20desi%2C%20fab%2Cand%20samp%20protocol%20science%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-21",
      "references": [
        "https://doi.org/10.1002/awwa.1127"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differential Sensitivity to In Vitro Inhibition of Cytochrome P450 Aromatase (CYP19) Activity Among 18 Freshwater Fishes",
      "description": "There is significant concern regarding potential impairment of fish reproduction associated with endocrine disrupting chemicals. Aromatase (CYP19) is a steroidogenic enzyme involved in the conversion of androgens to estrogens. Inhibition of aromatase by chemicals can result in reduced concentrations of estrogens leading to adverse reproductive effects. These effects have been extensively investigated in a small number of laboratory model fishes, but differences in sensitivity among species is largely unknown. Therefore, this study took a first step towards understanding potential differences in sensitivity to aromatase inhibitors among fishes. Specifically, a standard in vitro aromatase inhibition assay using subcellular fractions of whole tissue homogenates was used to evaluate the potential sensitivity of eighteen phylogenetically diverse species of freshwater fish to the nonsteroidal aromatase inhibitor fadrozole. Sensitivity to fadrozole ranged by more than 52-fold among these species. Five species were further investigated for sensitivity to up to four additional nonsteroidal aromatase inhibitors, letrozole, imazalil, prochloraz, and propiconazole. Potencies of each of these chemicals relative to fadrozole ranged by up to two orders of magnitude among the five species. Commonly investigated laboratory model species were among the least sensitive to all the investigated chemicals; therefore, ecological risks of aromatase inhibitors derived from these species might not be adequately protective of more sensitive native fishes. This information could guide more objective ecological risk assessments of native fishes to chemicals that inhibit aromatase. \n\nThis dataset is associated with the following publication:\nDoering, J., D. Villeneuve, K. Fay, E. Randolph, K. Jensen, M. Kahl, C. LaLone, and G. Ankley. Differential sensitivity to in vitro inhibition of cytochrome P450 aromatase (CYP19) activity among 18 freshwater fishes.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  170(2): 394-403, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503308",
      "keyword": [
        "Susceptibility",
        "fadrozole",
        "fish",
        "aromatase",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Doering_2019_Aromatase.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503308/Doering_2019_Aromatase.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-13",
      "references": [
        "https://doi.org/10.5061/dryad.nn94830"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SEM and TEM",
      "description": "SEM and TEM images. \n\nThis dataset is associated with the following publication:\nMartin, E., J. Lalley, W. Wang, M. Nadagouda, E. Sahle-Demessie, and S. Chae. Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 352: 612-624, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503091",
      "keyword": [
        "phosphorus",
        "Magnesium carbonate",
        "cellulose",
        "adsorption",
        "Kinetics and sorption isotherms",
        "Recovery of phosphate from water"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "02-10-14.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503091/02-10-14.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "0515-2014.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503091/0515-2014.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-17",
      "references": [
        "https://doi.org/10.1016/j.cej.2018.06.183"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Figures in Published Article.xlsx",
      "description": "The dataset contains the data that underlies the figures and tables in the published article.  It also contains the data that underlies the figures in supplemental material. \n\nThis dataset is associated with the following publication:\nFlemings, W., K. Bailey, W. Lee, D. Felker, V. Gallardo, M. Magnuson, R. Phillips, and W. Harper. Adsorption of Malathion onto Copper and Iron Surfaces Relevant to Water Infrastructure.   Journal AWWA. American Water Works Association, Denver, CO, USA,  11, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504140",
      "keyword": [
        "water security",
        "chemical",
        "detection",
        "chemical warfare agents",
        "pesticides",
        "surface analysis",
        "thermal desorption",
        "thermal gravimetric analysis"
      ],
      "contactPoint": {
        "fn": "Vicente Gallardo",
        "hasEmail": "mailto:gallardo.vincente@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for Figures in Published Article.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504140/Dataset%20for%20Figures%20in%20Published%20Article.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data set for figures in supplemental section.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504140/Data%20set%20for%20figures%20in%20supplemental%20section.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-25",
      "references": [
        "https://doi.org/10.5942/jawwa.2017.109.0119"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504140/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Monochloramine and Free Chlorine Penetration in a Drinking Water Storage Tank Sediment Using Microelectrodes",
      "description": "Sediment accumulation in water storage tanks may protect microorganisms from disinfectant exposure, causing water quality degradation. However, microbial activity and disinfectant penetration within water storage sediment remains largely uncharacterized. This study evaluated monochloramine and free chlorine penetration into a 2-cm (20,000 µm) deep drinking water storage tank sediment using microelectrodes. The sediment was successively exposed to 4-months monochloramine, 2-months free chlorine, and 2-months monochloramine. Temporal monochloramine, free chlorine, dissolved oxygen (DO), pH, ammonium, nitrite, and nitrate profiles were acquired using microelectrodes. Results showed that complete monochloramine or free chlorine penetration was not observed. Likewise, DO never fully penetrated the sediment, progressing inward with time to a maximum depth of 10,000 µm and indicating microbial activity remained during the entire 8 months.  Decreasing ammonium and increasing nitrate concentrations, with minimal nitrite accumulation, further demonstrated microbial activity and indicated complete sediment nitrification. There was measurable ammonium, nitrite, and nitrate during free chlorine application and nitrification activity gradually resumed upon a switch back to monochloramine. These findings suggest that periodic sediment removal from drinking water storage facilities is desirable to remove potentially protected environments for microorganisms. \n\nThis dataset is associated with the following publication:\nLiu, H., D. Wahman, and J. Pressman. Evaluation of Monochloramine and Free Chlorine Penetration in a Drinking Water Storage Tank Sediment Using Microelectrodes.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(16): 9352-9360, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503400",
      "keyword": [
        "Distribution system",
        "storage tank sediment",
        "disinfectant penetration",
        "microelectrode"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Free chlorine profiles during 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/Free%20chlorine%20profiles%20during%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DO profiles after 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/DO%20profiles%20after%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DO profiles during 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/DO%20profiles%20during%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Monochloramine profiles after 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/Monochloramine%20profiles%20after%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DO profiles during 120 days monochloramine disinfection.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/DO%20profiles%20during%20120%20days%20monochloramine%20disinfection.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NH4 ,NO2-,NO3- after 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/NH4%20%2CNO2-%2CNO3-%20after%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Monochloramine profiles during 120 days monochloramine disinfection.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/Monochloramine%20profiles%20during%20120%20days%20monochloramine%20disinfection.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Final Profiles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/Final%20Profiles.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NH4 ,NO2-,NO3- during 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/NH4%20%2CNO2-%2CNO3-%20during%2060%20days%20free%20chlorine%20burn.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NH4 ,NO2-,NO3- during 120 days monochloramine disinfection.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/NH4%20%2CNO2-%2CNO3-%20during%20120%20days%20monochloramine%20disinfection.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pH profiles after 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/pH%20profiles%20after%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pH profiles during 60 days free chlorine burn.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/pH%20profiles%20during%2060%20days%20free%20chlorine%20burn.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pH profiles during 120 days monochloramine disinfection.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503400/pH%20profiles%20during%20120%20days%20monochloramine%20disinfection.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-11",
      "references": [
        "https://doi.org/10.1021/acs.est.9b01189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combining the effects of increased atmospheric carbon dioxide on protein, iron, and zinc availability and projected climate change on global diets: a modelling study",
      "description": "Final pdf of published paper, final pdf of supplemental materials, links (urls) to paper and github site where additional datasets are available online, zip file containing the additional datasets from the github site, which can be used to recreate each of the figures in the paper. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504237",
      "keyword": [
        "climate change",
        "nutrition",
        "food security",
        "climate impacts",
        "CO2",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Allison Crimmins",
        "hasEmail": "mailto:crimmins.allison@epa.gov"
      },
      "distribution": [
        {
          "title": "LPH_Beach2019_Final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504237/LPH_Beach2019_Final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LPH_Beach2019_Supplemental.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504237/LPH_Beach2019_Supplemental.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/IFPRI/Mid-century-eCO2-fx-protein-iron-zinc",
          "accessURL": "https://github.com/IFPRI/Mid-century-eCO2-fx-protein-iron-zinc",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(19)30094-4/fulltext",
          "accessURL": "https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(19)30094-4/fulltext",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "github_files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504237/github_files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-01",
      "references": [
        "https://dx.doi.org/10.1016/s2542-5196(19)30094-4"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling data and data for figures and text",
      "description": "The data in this archive in in a zipped R data binary format, https://cran.r-project.org/doc/manuals/r-release/R-data.html. These data can be read by using the open source and free to use statistical software package R, https://www.r-project.org/. The data are organized following the figure numbering in the manuscript, e.g. Figure 1a is fig1a, and contains the same labeling as the figures including units and variable names. For a full explanation of the figure, please see the captions in the manuscript. \n\nTo open this data file, use the following commands in R. \n\n> load(‘JKelly_NH4NO3_JGR_2018.rdata’)\n\nTo list the contents of the file, use the following command in R\n\n> ls()\n\nThe data for each figure is contained in the data object with the figures name. To list the data, simply type the name of the figure returned from the ls() command. \n\nThe original model output and emissions used for this study are located on the ASM archived storage at /asm/ROMO/finescale/sjv2013. These data are in NetCDF format with self contained metadata with descriptive headers containing variable names, units, and simulation times. \n\nThis dataset is associated with the following publication:\nKelly, J., C. Parworth, Q. Zhang, D. Miller, K. Sun, M. Zondlo , K. Baker, A. Wisthaler, J. Nowak , S. Pusede , R. Cohen , A. Weinheimer , A. Beyersdorf , G. Tonnesen, J. Bash, L. Valin, J. Crawford, A. Fried , and J. Walega. Modeling NH4NO3 Over the San Joaquin Valley During the 2013 DISCOVER‐AQ Campaign.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 123(9): 4727-4745, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1434678",
      "keyword": [
        "CMAQ",
        "Ambient air quality",
        "ammonia",
        "particulate matter",
        "air quality model evaluation"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434678/Metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JKelly_NH4NO3_JGR_2018.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434678/JKelly_NH4NO3_JGR_2018.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-02",
      "references": [
        "https://doi.org/10.1029/2018jd028290"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bacterial community on biofilms from MAIFAS reactors",
      "description": "Sequence reads (16S rDNA- and 16S rRNA-based) were processed and analyzed using Mothur software. The results presented in the attached Excel file. Also, the other MS word file includes taxonomic summary tables for bacterial communities on biofilms from the MAIFAS reactor as well as the detailed description of Materials & Methods. \n\nThis dataset is associated with the following publication:\nChurch, J., H. Ryu, A. Sadmani, A. Randall, J. Santodomingo, and W.H. Lee. Multiscale investigation of a symbiotic microalgal-integrated fixed film activated sludge (MAIFAS) process for nutrient removal and photo-oxygenation.   Bioresource Technology. Elsevier Online, New York, NY, USA, 268: 128-138, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1423208",
      "keyword": [
        "Algae",
        "Bacteria",
        "Biofilm",
        "Chlorella vulgaris",
        "Microsensors",
        "Illumina sequencing"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "MAIFAS_16S rRNA Illumina seq_tables_methods.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423208/MAIFAS_16S%20rRNA%20Illumina%20seq_tables_methods.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MAIFAS_16S rRNA Illumina seq_muthur analyses.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423208/MAIFAS_16S%20rRNA%20Illumina%20seq_muthur%20analyses.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1016/j.biortech.2018.07.123"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ceriodaphnia dubia control reproduction 9-CA-labs",
      "description": "The data represent the reproduction endpoint for the Ceriodaphnia dubia survival and reproduction aquatic toxicity test. Data on control reproduction was acquired for nine California laboratories and 370 WET tests. The data is used in a study comparing the ability of two statistical hypothesis-test approaches to detect toxicity. \n\nThis dataset is associated with the following publication:\nFox, J., J. Diamond, D. Denton, and R. Stuber. Comparison of Statistical Approaches Applied to the Ceriodaphnia dubia Chronic Toxicity Method.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,  511-523, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1376211",
      "keyword": [
        "Whole effluent toxicity (WET)",
        "Test of Significant Toxicity (TST)",
        "No Observed Effect Concentration (NOEC)",
        "statistical error rates"
      ],
      "contactPoint": {
        "fn": "John Fox",
        "hasEmail": "mailto:fox.john@epa.gov"
      },
      "distribution": [
        {
          "title": "crc-merged.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376211/crc-merged.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-14",
      "references": [
        "https://doi.org/10.1002/etc.4347"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The relative importance of waterborne and dietborne As exposure on survival and growth of juvenile fathead minnows.",
      "description": "This dataset provides exposure and effects data for two experiments regarding the dietborne toxicity of inorganic arsenic on fathead minnows survival and growth.  There are separate spreadsheets for the two experiments, at the replicate exposure chamber level, of fish exposure, survival, and weights and calculated growth metrics.  Each spreadsheet provides footnote descriptions of the data and calculations provided.  Descriptions of experimental protocols are also provided as supporting documents. \n\nThis dataset is associated with the following publication:\nErickson, R., D. Mount, T. Highland, R. Hockett, D. Hoff, C. Jenson, and T. Lahren. The relative importance of waterborne and dietborne As exposure on survival and growth of juvenile fathead minnows.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 211: 18-28, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502610",
      "keyword": [
        "fathead minnow",
        "arsenic",
        "ecological risk assessment",
        "fish dietary studies",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "MEDDietaryPaper4_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502610/MEDDietaryPaper4_Dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-04",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2019.03.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nova Scotia Sediment UnmixO source contributions.",
      "description": "PAH source contributions for each Nova Scotia harbors. \n\nThis dataset is associated with the following publication:\nDavis, E., T. Walker, M. Adams, R. Willis, G. Norris, and R. Henry. Source apportionment of polycyclic aromatic hydrocarbons (PAHs) in small craft harbor (SCH) surficial sediments in Nova Scotia, Canada.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 691: 528-537, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503517",
      "keyword": [
        "Polycyclic aromatic hydrocarbons (PAHs)",
        "source apportionment",
        "Unmix Optimum",
        "PAHs"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "Source Contributions for EPA website_NSHarbours_Feb202019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503517/Source%20Contributions%20for%20EPA%20website_NSHarbours_Feb202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.07.114"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Boquerón Beach, Puerto Rico immunoconversion study",
      "description": "The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) readings from saliva samples serially collected during the Boquerón Beach, Puerto Rico study.  Samples were analyzed using the bead-based multiplex immunoassay to assess immunoconversions in the beachgoers to multiple waterborne pathogens.  In the study, we collected an initial sample (S1) at the beach  and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. \n\nThis dataset is associated with the following publication:\nSimmons, K.J., T. Eason, C.L. Curioso, S. Griffin, M.K.D. Ramudit, K. Oshima, E. Sams, T. Wade, A. Grimm, A. Dufour, and S. Augustine. Visitors to a Tropical Marine Beach Show Evidence of Immunoconversions to Multiple Waterborne Pathogens.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, issue}: 231, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503882",
      "keyword": [
        "immunoconversions",
        "incident infections",
        "exposure",
        "multiplex immunoassay",
        "salivary antibodies",
        "luminex assay"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Boqueron IC data (Augustine et al. 2019-Frontiers).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503882/Copy%20of%20Boqueron%20IC%20data%20%28Augustine%20et%20al.%202019-Frontiers%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-02",
      "references": [
        "https://doi.org/10.3389/fpubh.2019.00231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Village Green Project station data - March 2015",
      "description": "The data sets include the Village Green Project station time series, including air pollutant concentrations, meteorology data, and diagnostic data from instrumentation. Additionally, air pollutant concentration data from the Hong Kong Environmental Protection Department's Eastern station are included. \n\nThis dataset is associated with the following publication:\nWei, P., Z. Ning, D. Westerdahl, Y.F. Lam, P. Louie, R. Sharpe, R. Williams, and G. Hagler. Solar-powered air quality monitor applied under subtropical conditions in Hong Kong: Performance evaluation and application for pollution source tracking.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 214: 116825, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504019",
      "keyword": [
        "air quality",
        "Village Green Project",
        "air monitoring technology"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "HKEPD_Eastern_sum.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504019/HKEPD_Eastern_sum.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VGP-HongKong.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504019/VGP-HongKong.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-08",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.116825"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504019/documents/DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing PM2.5 Model Performance for the Conterminous U.S. with Comparison to Model Performance Statistics from 2007-2015",
      "description": "Dataset includes links to CMAQ codes, evaluation of model predictions against network data, and additional supporting information. \n\nThis dataset is associated with the following publication:\nKelly, J., S. Koplitz, K. Baker, A. Holder, H. Pye, B. Murphy, J. Bash, B. Henderson, N. Possiel, H. Simon, A. Eyth, C. Jang, S. Phillips, and B. Timin. Assessing PM2.5 model performance for the conterminous U.S. with comparison to model performance statistics from 2007-2015.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 214: 116872, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503788",
      "keyword": [
        "organic carbon",
        "sulfate",
        "nitrate",
        "wildfire",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S1352231019305023-mmc1.csv",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S1352231019305023-mmc1.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S1352231019305023-mmc3.pdf",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S1352231019305023-mmc3.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1212601",
          "accessURL": "https://doi.org/10.5281/zenodo.1212601",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-04",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.116872"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Alternatives Assessment Dashboard Hazard Database Version 1.0  Generated 12/07/2018",
      "description": "This is a collection of over 290,000 hazard data records compiled for the Alternatives Assessment Dashboard. The hazard data includes records for human health, ecotoxicity, and fate. The human health records include records for Acute mammalian toxicity, Carcinogenicity, Mutagenicity, Endocrine disruption, Reproductive toxicity, Developmental toxicity, Neurotoxicity, Systemic toxicity, Skin sensitization, Skin irritation, and Eye irritation.  The ecotoxicity records include records for acute and chronic aquatic toxicity. The fate records include records for persistance and bioaccumulation.  The source of the hazard records include GHS (Globally Harmonized System) hazard codes, hazard categories, quantitative toxicity data, and predicted toxicity data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503620",
      "keyword": [
        "Alternatives assessment",
        "Hazard data",
        "Toxicity data",
        "chemical prioritization",
        "toxicity",
        "GHS Data"
      ],
      "contactPoint": {
        "fn": "Todd Martin",
        "hasEmail": "mailto:martin.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "flat file 2018-12-07.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503620/flat%20file%202018-12-07.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-07",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1503620/documents/Parse.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1503620/documents/api.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Smoke Sense Analysis Data 2017-08-01 Through 2018-01-07 with Identifiers Removed",
      "description": "Citizen science reports from Smoke Sense app participants from the pilot study during 2017-08-01 through 2018-01-07, with personal identifiers removed. \n\nThis dataset is associated with the following publication:\nRappold, A., M. Hano, S. Prince, L. Wei, M. Huang, C. Baghdikian, B. Sterns, X. Gao, S. Hoshiko, W. Cascio, D. Diazsanchez, and B. Hubbell. Smoke Sense Initiative Leverages Citizen Science to Address the Growing Wildfire-Related Public Health Problem.   GeoHealth. American Geophysical Union, Washington, DC, USA, 3(12): 443-457, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503824",
      "keyword": [
        "Health Behavior",
        "citizen science",
        "Wildfire smoke",
        "Smartphone app"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "Smoke Sense Analysis Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503824/Smoke%20Sense%20Analysis%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-07",
      "references": [
        "https://doi.org/10.1029/2019gh000199"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2011 results are for Figs 1-4; 2012 results are for Figs 5-8",
      "description": "The data sets are for Figures 1-8 in the manuscript. \n\nThis dataset is associated with the following publication:\nHuling, J.R., S.G. Huling, and R. Ludwig. Enhanced adsorption of arsenic through the oxidative Treatment of Reduced Aquifer Solids.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 123: 183-191, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1394839",
      "keyword": [
        "no additional keywords",
        "arsenic",
        "treatment",
        "permanganate",
        "oxidation",
        "ground water"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "SDMP_Arsenic Immobilization_SG Huling_2011_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394839/SDMP_Arsenic%20Immobilization_SG%20Huling_2011_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDMP_Arsenic Immobilization_SG Huling_2012_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1394839/SDMP_Arsenic%20Immobilization_SG%20Huling_2012_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2017.06.064"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1394839/documents/Data%20Dictionary%20for%20SDMP_Arsenic%20Immobilization.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Fathead minnow growth data",
      "description": "This dataset provides a time series of size of fathead minnows over time growing under laboratory conditions (approximately 23 C, ad lib feeding). \n\nThis dataset is associated with the following publication:\nSwintek, J., M. Etterson, K. Flynn, and R. Johnson. Optimized temporal sampling designs of the Weibull growth curve with extensions to the von Bertalanffy model.   ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 30(6): 1-14, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1413281",
      "keyword": [
        "Weibull",
        "growth curve",
        "study design",
        "population modeling"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "SwintekEtAlSupplementaryData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413281/SwintekEtAlSupplementaryData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-19",
      "references": [
        "https://doi.org/10.1002/env.2552"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2011 PR Survey data",
      "description": "EPA conducted a probabilistic survey at 64 stations from linear reef habitat along the southern coastline of Puerto Rico to characterize the regional condition of coral reef inhabitants.  The probabilistic design was the first step toward establishing a long-term monitoring program for biological water quality standards (such as biocriteria) in Puerto Rico using these indicators. The target population was limited to coral reef and hardbottom substrate within 1.5 km o f shore and between 2-12 m depth.\nDivers dropped a buoy at the appropriate station coordinates and assessed the reef resources at the best available habitat within a 20 m radius of the buoy. If suitable habitat was not found, the next location on the predetermined site list was chosen. \n\nThis dataset is associated with the following publication:\nFisher, W., D. Vivian, J. Campbell, C. Lobue, R. Hemmer, S. Wilkinson, P. Harris, D. Santavy, M. Parsons, P. Bradley, A. Humphrey, L. Oliver, and L. Harwell. Biological Status Assessment of Coral Reefs in Southern Puerto Rico: Supporting Coral Reef Protection Under the U.S. Clean Water Act..   Coastal Management. Taylor and Francis, Philadelphia, PA, USA, 47(5): 429-452, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407509",
      "keyword": [
        "Puerto Rico",
        "stony coral",
        "coral reef condition",
        "biocriteria",
        "proabability-based sampling",
        "probability based sampling",
        "reef assessments",
        "USVI"
      ],
      "contactPoint": {
        "fn": "William Fisher",
        "hasEmail": "mailto:fisher.william@epa.gov"
      },
      "distribution": [
        {
          "title": "StonyCoral_PR2011_FNDec052016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/StonyCoral_PR2011_FNDec052016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StationInfo_PR2011_FDec2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/StationInfo_PR2011_FDec2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SpGorg_PR2011_FJuly032017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/SpGorg_PR2011_FJuly032017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rugosity_PR2011_FDec052016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/Rugosity_PR2011_FDec052016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Palythoa_PR2011_FJJul032017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/Palythoa_PR2011_FJJul032017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Invert_PR2011_FDec052016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/Invert_PR2011_FDec052016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fish_PR2011_FDec052016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407509/Fish_PR2011_FDec052016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-18",
      "references": [
        "https://doi.org/10.1080/08920753.2019.1641039"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stanley and Wilkin (2019) dataset",
      "description": "The spreadsheet contains mineralogical and solubility data for the uranyl minerals: metaschoepite and uranophane. \n\nThis dataset is associated with the following publication:\nStanley, D.M., and R.T. Wilkin. Solution equilibria of uranyl minerals: Role of the common groundwater ions calcium and carbonate.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 377: 315-320, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503429",
      "keyword": [
        "groundwater",
        "chromium",
        "arsenic",
        "nickel",
        "iron sulfides",
        "uranium"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Stanley and Wilkin (2019) dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503429/Stanley%20and%20Wilkin%20%282019%29%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-27",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2019.05.101"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impacts of chemical oxidation reagents on soil microbes in remediation of polycyclic aromatic hydrocarbon-contaminated soil",
      "description": "The dataset describes physical and chemical properties of soils used in the study, removal efficiencies of PAHs, changes of microbe counts in soil after oxidation treatments, and concentrations of total PAHs in soil after oxidation treatments. \n\nThis dataset is associated with the following publication:\nLiao, X., Z. Wu, Y. Li, H. Cao, and C. Su. Effect of various chemical oxidation reagents on soil indigenous microbial diversity in remediation of soil contaminated by PAHs.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 226: 483-491, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504162",
      "keyword": [
        "PAHs",
        "Chemical oxidation",
        "microorganism",
        "diversity"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Xiaoyong Liao Chemosphere 2019 paper microbe counts & PAH concentrations 719.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504162/Xiaoyong%20Liao%20Chemosphere%202019%20paper%20microbe%20counts%20%26%20PAH%20concentrations%20719.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Xiaoyong Liao Chemosphere 2019 paper 2 tables 719.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504162/Xiaoyong%20Liao%20Chemosphere%202019%20paper%202%20tables%20719.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Xiaoyong Liao Chemosphere 2019 paper 6 figures 719.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504162/Xiaoyong%20Liao%20Chemosphere%202019%20paper%206%20figures%20719.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-31",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2019.03.126"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ORD-026626: Assessment of the performance of the TGx-DDI biomarker to detect DNA damage-inducing agents using quantitative RT- PCR in TK6 cells ",
      "description": "The dataset shows the results of the Running Fisher test between the TGx-DDI biomarker and each of the qPCR-generated gene lists from chemical treatments in TK6 cells. The results are divided into training and test sets. \n\nThis dataset is associated with the following publication:\nCho, E., J. Buick, A. Williams, R. Chen, H. Li, C. Corton, A. Fornace, J. Aubrecht, and C. Yauk. Assessment of the performance of the TGx-DDI biomarker to detect DNA damage-inducing agents using quantitative RT- PCR in TK6 cells.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 60(2): 122-133, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500453",
      "keyword": [
        "genotoxicity testing",
        "biomarker",
        "high throughput testing",
        "TGx-DDI"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-4tmz.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500453/Data%20submission%20for%20A-4tmz.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-15",
      "references": [
        "https://doi.org/10.1002/em.22257"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trends in the oxidation and relative volatility of  chamber-generated secondary organic aerosol ",
      "description": "The relationship between the oxidation state and relative volatility of secondary organic aerosol (SOA) from the oxidation of a wide range of hydrocarbons is investigated using a fast-stepping, scanning thermodenuder interfaced with a high resolution time-of-flight aerosol mass spectrometer (AMS). SOA oxidation state varied widely across the investigated range of parent hydrocarbons but was relatively stable for replicate experiments using a single hydrocarbon precursor. On average, unit mass resolution indicators of SOA oxidation (e.g., AMS f43 and f44) are consistent with previously reported values. Linear regression of H:C vs O:C obtained from parameterization of f43 and f44 and elemental analysis of high resolution spectra in Van Krevelen space both yield a slope of ~0.5 across different SOA types. A similar slope was obtained for a distinct subset of toluene/NOx reactions in which the integrated oxidant exposure was varied to alter oxidation. The relative volatility of different SOA types displays similar variability and is strongly correlated with SOA oxidation state (OSC). On average, relatively low oxidation and volatility were observed for aliphatic alkene (including terpenes) and n-alkane SOA while the opposite is true for mono- and polycyclic aromatic hydrocarbon SOA. Effective enthalpy for total chamber aerosol obtained from volatility differential mobility analysis is also highly correlated with OSC indicating a primary role for oxidation levels in determining the volatility of chamber SOA. Effective enthalpies for chamber SOA are substantially lower than those of neat organic standards but are on the order of those obtained for partially oligomerized glyoxal and methyl glyoxal. \n\nThis dataset is associated with the following publication:\nDocherty, K., E. Corse, M. Jaoui, J. Offenberg, T. Kleindienst, J. Krug, T. Riedel, and M. Lewandowski. Trends in the oxidation and relative volatility of chamber-generated secondary organic aerosol.   AEROSOL SCIENCE AND TECHNOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 52(9): 992-1004, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500926",
      "keyword": [
        "AMS",
        "volatility",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
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      },
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          "title": "Docherty_volatility_Figures.xlsx",
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        "https://doi.org/10.1080/02786826.2018.1500014"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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      "title": "Phosphate recovery from water using cellulose enhanced magnesium carbonate pellets: Kinetics, isotherms, and desorption",
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      "identifier": "https://doi.org/10.23719/1434491",
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        "Magnesium carbonate",
        "cellulose",
        "adsorption",
        "Kinetics and sorption isotherms",
        "Recovery of phosphate from water"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
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          "title": "DraftProduct_ChemicalEngJournalArticle_edited2.0.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Thesis_EMartin_3.8.2017.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434491/Thesis_EMartin_3.8.2017.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "All Data files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434491/All%20Data%20files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-25",
      "references": [
        "https://doi.org/10.1016/j.cej.2018.06.183"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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    {
      "title": "Vapor-pressure pathways initiate but hydrolysis products dominate the aerosol estimated from organic nitrates  ",
      "description": "The data includes (1) one zip file of CMAQ code used for simulations in the manuscript and (2) a link to field data (total alkyl nitrates) used for evaluation. See S-T13-TNO2ANsPNsTDLIF_CTR_20130601_RE.ict at the link for measurement information. For other information, please contact the corresponding authors Havala Pye (pye.havala@epa.gov) and Ron Cohen. \n\nThis dataset is associated with the following publication:\nZare, A., K. Fahey, G. Sarwar, R. Cohen, and H. Pye. Vapor-Pressure Pathways Initiate but Hydrolysis Products Dominate the Aerosol Estimated from Organic Nitrates.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 3(8): 1426-1437, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1503432",
      "keyword": [
        "organic nitrates",
        "alkyl nitrates",
        "SOAS",
        "SAS",
        "hydrolysis",
        "monoterpenes",
        "isoprene",
        "CMAQ",
        "Community Multi-scale Air Quality (CMAQ) model",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "BLD_CMAQv52_newstruc_Aqcloud_Feb2019_V2-20190625T183020Z.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503432/BLD_CMAQv52_newstruc_Aqcloud_Feb2019_V2-20190625T183020Z.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-25",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.9b00067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
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      "accessRights": "public"
    },
    {
      "title": "CitySpace Dataset",
      "description": "High frequency PM2.5 and meteorological data from a sensor network in the Memphis, TN geographic area. \n\nThis dataset is associated with the following publication:\nFeinberg, S., R. Williams, G. Hagler, J. Low, L. Smith, R. Brown, D. Garver, M. Davis, M. Morton, J. Schaefer, and J. Campbell. Examining spatiotemporal variability of urban particulate matter and application of high-time resolution data from a network of low-cost air pollution sensors.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 213: 579-584, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503287",
      "keyword": [
        "low cost sensor",
        "CitySpace",
        "Memphis TN",
        "Fine Particulate Matter"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "CitySpace_Database.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503287/CitySpace_Database.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-01",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.06.026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rubbertown NGEM Demo Project paper 1 dataset",
      "description": "This dataset contains information used to develop the graphs contained in the journal article \"Rubbertown Next Generation Demonstration Project\"  It contains passive sampler data for one year and select SPod Fenceline senor and Gas Chromatograph data associated with two emissions events described in the paper. \n\nThis dataset is associated with the following publication:\nThoma, E., I. George, R. Duvall, T. Wu, D. Whitaker, K. Oliver, S. Mukerjee, H. Brantley, J. Spann, T. Bell, N. CarltonCarew, P. Deshmukh, J. Cansler, T. Cousett, T. Wei, A. Cooley, K. Zimmerman, B. Dewitt, and B. Parris. Rubbertown Next Generation Emissions Measurements Demonstration Project June 2019.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(11): 19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503645",
      "keyword": [
        "fugitive emission",
        "Fenceline Monitoring",
        "NGEM",
        "1-3 butadiene",
        "method 325",
        "auto-GC",
        "SPod",
        "GMAP",
        "VOC",
        "HAP",
        "Odor"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Rubbertown NGEM Paper 1_032619.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503645/Rubbertown%20NGEM%20Paper%201_032619.xlsx",
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        }
      ],
      "modified": "2019-03-26",
      "references": [
        "https://doi.org/10.3390/ijerph16112041"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KC-TRAQS Methods and Measurements",
      "description": "Data collected during the Kansas City Transportation and Local-Scale Air\nQuality Study (KC-TRAQS). \n\nThis dataset is associated with the following publication:\nKimbrough, S., S. Krabbe, R. Baldauf, T. Barzyk, M. Brown, S. Brown, C. Croghan, M. Davis, P. Deshmukh, R. Duvall, S. Feinberg, V. Isakov, R. Logan, T. McArthur, and A. Shields. Characterizing Community Air Pollution Impacts Near Complex Sources: The Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS).   Chemosensors. MDPI AG, Basel,  SWITZERLAND, 7(2): x, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504005",
      "keyword": [
        "KC-TRAQS",
        "near source",
        "Black Carbon",
        "pm2.5",
        "Sensors",
        "rail"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure2_meteorologicaldata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figure2_meteorologicaldata.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure3Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figure3Data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4 BoxPlots pm25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figure%204%20BoxPlots%20pm25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5 BoxPlots BC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figure%205%20BoxPlots%20BC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 and 9 (SiteName, Hour).csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figure%208%20and%209%20%28SiteName%2C%20Hour%29.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures 6 and 7.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504005/Figures%206%20and%207.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-26",
      "references": [
        "https://doi.org/10.3390/chemosensors7020026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Particulate matter, nitrogen oxides, ozone and select volatile organic compounds during a winter sampling period in Logan, Utah, USA",
      "description": "Particulate matter mass (PM), trace gaseous pollutants, select volatile organic compounds, and meteorology. \n\nThis dataset is associated with the following publication:\nMukerjee, S., L. Smith, R. Long, W. Lonneman, S. Kaushik, M. Colon, K. Oliver, and D. Whitaker. Particulate matter, nitrogen oxides, ozone, and select volatile organic compounds during a winter sampling period in Logan, Utah, USA.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(6): 778-788, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503057",
      "keyword": [
        "particulate matter",
        "nitrogen oxides",
        "Ozone",
        "volatile organic compounds",
        "Logan",
        "Utah"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "utahPAMS_revised.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503057/utahPAMS_revised.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-14",
      "references": [
        "https://doi.org/10.1080/10962247.2019.1587553"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Increasing importance of organosulfur species for aerosol properties and future air quality",
      "description": "Link to IMPROVE network ambient data used in Figure 2a. \n\nThis dataset is associated with the following publication:\nRiva, M., Y. Chen, Y. Zhang, Z. Lei, N.E. Olson, H.C. Boyer, S. Narayan, L.D. Yee, H.S. Green, T. Cui, Z. Zhang, K. Baumann, M. Fort, E. Edgerton, S.H. Budisulistiorini, C.A. Rose, I.O. Ribeiro, R.L. e Oliveira, E.O. dos Santos, C.M.D. Machado, S. Szopa, Y. Zhao, E.G. Alves, S.S. de Sá, W. Hu, E.M. Knipping, S.L. Shaw, S. Duvoisin Junior, R.A.F. de Souza, B.B. Palm, J. Jimenez, M. Glasius, A.H. Goldstein, H. Pye, A. Gold, B.J. Turpin, W. Vizuete, S.T. Martin, J.A. Thornton, C.S. Dutcher, A.P. Ault, and J.D. Surratt. Increasing Isoprene Epoxydiol-to-Inorganic Sulfate Aerosol Ratio Results in Extensive Conversion of Inorganic Sulfate to Organosulfur Forms: Implications for Aerosol Physicochemical Properties.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(15): 8682-8694, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503133",
      "keyword": [
        "sulfate",
        "sulfur",
        "organosulfate",
        "IEPOX",
        "epoxide",
        "isoprene",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://vista.cira.colostate.edu/Improve/data-page/",
          "accessURL": "https://vista.cira.colostate.edu/Improve/data-page/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-13",
      "references": [
        "https://doi.org/10.1021/acs.est.9b01019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exhaled Breath Aerosol Data for Paper and Plastic Mask Extracts",
      "description": "This dataset contains the raw data for the paper and plastic mask extracts. The data include the features identified in positive and negative modes, including the abundance of each feature in the mask samples. \n\nThis dataset is associated with the following publication:\nWallace, M., J. Pleil, and M. Madden. Identifying organic compounds in exhaled breath aerosol: Non-invasive sampling from respirator surfaces and disposable hospital masks.   JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 137: 10544, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503741",
      "keyword": [
        "exhaled breath aerosol",
        "respiratory masks",
        "immunochemistry",
        "liquid chromatography-mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [
        {
          "title": "EBA Supplemental Table 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503741/EBA%20Supplemental%20Table%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-30",
      "references": [
        "https://doi.org/10.1016/j.jaerosci.2019.105444"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PAH Published Dataset",
      "description": "PAH Published Dataset. \n\nThis dataset is associated with the following publication:\nWallace, M., J. Pleil, D. Whitaker, and K. Oliver. Recovery and reactivity of polycyclic aromatic hydrocarbons collected on selected sorbent tubes and analyzed by thermal desorption-gas chromatography/mass spectrometry.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1602: 19-29, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503641",
      "keyword": [
        "thermal desorption (td)",
        "carbograph",
        "tenax",
        "Polycyclic aromatic hydrocarbons (PAHs)",
        "gas chromatography-mass spectrometry (GC-MS)",
        "XRO-440"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [
        {
          "title": "PAH Published Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503641/PAH%20Published%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-12",
      "references": [
        "https://doi.org/10.1016/j.chroma.2019.05.030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wetlands and Watershed Nutrients: Dataset for Manuscript",
      "description": "The dataset includes information to make Figure 4 within the manuscript. \n\nThis dataset is associated with the following publication:\nGolden, H., A. Rajib, C. Lane, J. Christensen, Q. Wu, and S. Mengistu. Non-floodplain Wetlands Affect Watershed Nutrient Dynamics: A Critical Review.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(13): 7203-7214, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503205",
      "keyword": [
        "wetlands",
        "nutrients",
        "watersheds",
        "watershed models",
        "nitrogen",
        "phosphorus"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Golden2019ES&TScienceHubSubmission_12.18.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503205/Golden2019ES%26TScienceHubSubmission_12.18.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-27",
      "references": [
        "https://doi.org/10.1021/acs.est.8b07270"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development, validation and integration of in silico models to identify androgen active chemicals",
      "description": "A diverse data set of 1667 chemicals with AR experimental activity were provided by the U.S. EPA from the oxicity Forecaster (ToxCast) program which generates data using in vitro high-throughput screening (HTS) assays measuring activity of chemicals at multiple points along the androgen receptor (AR) activity pathway.  The Endocrine Disruptor Knowledgebase (EDKB) androgen receptor (AR) binding data set (Fang et al., 2003) was downloaded from the FDA website and was produced expressly as a training set designed for developing predictive models. The data is based on a validated assay using recombinant AR. The dataset contains 146 AR binders and 56 non-AR binders. These training set chemicals were selected for both chemical structure diversity and range of activity, both of which are essential to develop robust QSAR and other models (Perkins, 2003). \n\nThis dataset is associated with the following publication:\nManganelli, S., A. Roncaglioni, K. Mansouri, R. Judson, E. Benfenati, A. Manganaro, and P. Ruiz. Development, validation and integration of in silico models to identify androgen active chemicals.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 220: 204-215, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503185",
      "keyword": [
        "endocrine disrupting chemicals",
        "high-throughput screening",
        "Androgen receptor",
        "in silico",
        "articial neural networks",
        "Support vector machines",
        "decision tree",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.fda.gov/science-research/bioinformatics-tools/endocrine-disruptor-knowledge-base",
          "accessURL": "https://www.fda.gov/science-research/bioinformatics-tools/endocrine-disruptor-knowledge-base",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-06",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2018.12.131"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting Estrogenicity of a Group of Substituted Phenols_IATA",
      "description": "Data are summarized in a two-dimensional data matrix that was developed for each substance for hazard characterization (Tables S1–S3). In the horizontal direction of the matrix, read-across of the target phenol to the source analogues was performed for the purpose of data-gap filling, whereas in the vertical direction, data from different streams (traditional and NAM) were compared and contrasted, to evaluate concordance of orthogonal approaches for evaluating potential estrogenicity. The greater the degree of agreement in orthogonal approaches for determining bioactivity, the greater the confidence one has in using the collective results of such NAMs in hazard characterization of the target phenol. \n\nThis dataset is associated with the following publication:\nWebster, F., M. Gagne, G. Patlewicz, P. Pradeep, N. Trefiak, R. Judson, and T. Barton-Maclaren. Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 106: 278-291, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503435",
      "keyword": [
        "NAM",
        "IATA",
        "Read-across",
        "4-Tert-butylphenol",
        "2",
        "4-Di-Tert-butylphenol",
        "Octabenzone",
        "endocrine disruption",
        "estrogen",
        "adminstered equivalent dose (AED)",
        "Bioactivity exposure ratio (BER)",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Table S1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503435/Supplemental%20Table%20S1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table S2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503435/Supplemental%20Table%20S2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table S3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503435/Supplemental%20Table%20S3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-28",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.05.017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "No data",
      "description": "There is no dataset. \n\nThis dataset is associated with the following publication:\nLutes, C., C. Holton, R. Truesdale, J. Zimmerman, and B. Schumacher. Key Design Elements of Building Pressure Cycling for Evaluating Vapor Intrusion—A Literature Review..   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 39(1): 66-72, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1390096",
      "keyword": [
        "vapor intrusion",
        "remediation",
        "indoor air"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "No EPA data note.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390096/No%20EPA%20data%20note.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-27",
      "references": [
        "https://doi.org/10.1111/gwmr.12310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390096/documents/No%20EPA%20data%20note.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses",
      "description": "ToxRefDB comprises information from over fifty years of in vivo toxicity data. The database includes information for over 1000 chemicals, and is being used as a primary source of data for evaluating efforts of the ToxCast program [4,5], as well as for numerous predictive and retrospective analyses. \n\nThis dataset is associated with the following publication:\nWatford, S., L. Pham, J. Wignall, R. Shin, M.T. Martin, and K. Friedman. ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 89: 145-158, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503734",
      "keyword": [
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-ToxRefDB",
          "accessURL": "https://github.com/USEPA/CompTox-ToxRefDB",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-31",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2019.07.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Inventory of Reactive Nitrogen",
      "description": "The effectiveness of management actions in reducing the release of excess nitrogen (N) to the environment is best assessed if N fluxes across air, land and water are regularly quantified at relevant scales.  This dataset contains comprehensive 2002, 2007, and 2012 inventories of inputs and non-hydrologic N losses along with fossil fuel emissions, food demand, and terrestrial N surpluses for all HUC-8 subbasins of the contiguous United States using peer-reviewed, publicly available datasets. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1418976",
      "keyword": [
        "nitrogen",
        "atmospheric deposition",
        "fertilizer",
        "water quality",
        "national ambient air quality standards",
        "Wildfires",
        "crop agriculture",
        "nitrogen deposition"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "National_Nitrogen_Inventory.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418976/National_Nitrogen_Inventory.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mutagenicity Data of Water Extracts",
      "description": "The dataset contain the primary mutagenicity data.  It consists of the number of mutant colonies (called revertants) per petri plate at each dose of the water extract as used in the Salmonella (Ames) bacterial mutagenicity assay.  The dataset also shows graphically the dose-response curves constructed from the primary data, as well as a table showing the slopes of those curves, which are the mutagenic potencies of the water expressed as revertants/ml-equivalents. \n\nThis dataset is associated with the following publication:\nBerninger, J., D. Demarini, S. Warren, J. Simmons, V. Wilson, J. Conley, M. Armstrong, D. Kolpin, K. Kuivila, T. Reilly, K. Romanok, D. Villeneuve, and P. Bradley. Predictive Analysis Using Chemical-Gene Interaction Networks Consistent with Observed Endocrine Activity and Mutagenicity of U.S. Streams.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(15): 8611-8620, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504446",
      "keyword": [
        "U.S. streams",
        "Mutagenicity",
        "chemical-gene networks",
        "Ames assay"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "USGS Mutagenicity Data 7-2-18 .pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504446/USGS%20Mutagenicity%20Data%207-2-18%20.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-17",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02990"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Manuscript Data",
      "description": "The current data set provides all of the data that was used to generate the figures produced in the manuscript. \n\nThis dataset is associated with the following publication:\nClar, J.G., W. Platten III, E. Baumann, A. Remsen, S.M. Harmon, K. Rogers, T.A. Thomas, J. Matheson, and T.P. Luxton. Release and transformation of ZnO nanoparticles used in outdoor surface coatings for UV protection.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 670: 78-86, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500935",
      "keyword": [
        "Zinc Oxide",
        "Engineered Nanoparticles",
        "exposure",
        "Speciation",
        "Transfomation",
        "XAFS",
        "consumer products"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500935/SciHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-03",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.03.189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "    Denitrification rates across a temperate North Pacific estuary, Yaquina Bay, Oregon",
      "description": "The extent and temporal variability of denitrification activity was measured in Yaquina Bay, Oregon, over a year using sediment cores collected approximately monthly from August 2003 through August 31, 2004. Denitrification rates in sediments from a marine-dominated intertidal sand flat near the mouth of the estuary averaged 0.181 ±0.114 mmol m-2 d-1 whereas sediments in the estuary (5 stations) and river averaged 0.626 ±0.141 mmol m-2 d-1.   Sediment cores from all estuarine sites indicated denitrification activity throughout the year and were within the values reported for other temperate estuaries. Denitrification rates decreased with depth from 0.4 mmol m-2 d-1 in the upper 2 to 5 cm of sediment to 0.006 mmol m-2 d-1 at 28 cm sediment depth, indicating denitrification occurred primarily in the upper 5 cm. There was no relationship between denitrification rate and nitrate concentrations in the overlying water column (r2 = 0.16).  Denitrification rates were lowest in areas with low sediment carbon content, particularly in the sandy intertidal areas at the mouth of the estuary (r2 = 0.78). The results suggest that denitrification rates in this estuary were influenced primarily by the availability of organic carbon. \nThe amount of nitrogen removed by denitrification was estimated to be 8.7 percent of the annual Yaquina River load for August 2003 through August 2004. The relatively low percent lost via denitrification may be due to high river discharge when the nitrogen load was greatest during winter storm events and dissolved nitrogen was exported directly from the estuary into the Pacific Ocean. Stable isotopes were used to investigate the carbon source. The carbon isotope data increased from -27 δ13C in the freshwater river to -21.5 δ13C at the seawater site, reflecting a typical change from terrestrial plant vegetation to phytoplankton carbon sources. Similar values for δ13C between suspended and benthic sediments indicated resuspension and mixing occurred during tidal inflow. \n\nThis dataset is associated with the following publication:\nSigleo, A. Denitrification Rates Across a Temperate North Pacific Estuary, Yaquina Bay, Oregon.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 42(3): 655-664, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1430224",
      "keyword": [
        "denitrification",
        "Estuaries",
        "nitrate",
        "Nitrogen Ctcle",
        "Oregon Coast",
        "Nitrogen and Co-pollutants",
        "nutrients",
        "Yaquina Bay"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Sigleo-A-nk9x-Figure5-SI Table.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430224/Sigleo-A-nk9x-Figure5-SI%20Table.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sigleo-A-nk9x-Fugure 7-SI Table.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430224/Sigleo-A-nk9x-Fugure%207-SI%20Table.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sigleo-A-nk9x-Figure1-SI Table.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430224/Sigleo-A-nk9x-Figure1-SI%20Table.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sigleo-A-nk9x-Figure2-SI Table.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430224/Sigleo-A-nk9x-Figure2-SI%20Table.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sigleo-A-nk9x-Figures 3&4-SI Table.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430224/Sigleo-A-nk9x-Figures%203%264-SI%20Table.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-18",
      "references": [
        "https://doi.org/10.1007/s12237-019-00516-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Harrill et al, Testing for developmental neurotoxicity using a suite of assays for key cellular events in neurodevelopment",
      "description": "This file contains the data on apoptosis, neurite outgrowth, synaptogenesis and proliferation. \n\nThis dataset is associated with the following publication:\nHarrill, J., T. Freudenrich, K. Wallace, K. Ball, T. Shafer, and W. Mundy. Testing for developmental neurotoxicity using a battery of in vitro assays for key cellular events in neurodevelopment.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 354(1): 24-39, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1407642",
      "keyword": [
        "neurodevelopment",
        "in vitro assays",
        "alternative methods"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "Harrill et al DNT_Assay Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407642/Harrill%20et%20al%20DNT_Assay%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-21",
      "references": [
        "https://doi.org/10.1016/j.taap.2018.04.001"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets used in RD-023418: Adverse Outcome Pathway-Driven Identification of Rat Hepatocarcinogens in Short-Term Assays ",
      "description": "Datasets used in RD-023418: Adverse Outcome Pathway-Driven Identification of Rat Hepatocarcinogens in Short-Term Assays. \n\nThis dataset is associated with the following publication:\nRooney, J., T. Hill, C. Qin, F. Sistare, and C. Corton. Adverse outcome pathway-driven identification of rat liver tumorigens in short-term assays.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 356: 99-113, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407628",
      "keyword": [
        "Gene Expression Omnibus Accession Numbers",
        "cancer",
        "liver",
        "TG-GATES",
        "prediction",
        "ToxPi",
        "nuclear receptor",
        "cytotoxicity",
        "genotoxicity",
        "microarray"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-dz0q.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407628/Data%20submission%20for%20A-dz0q.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1016/j.taap.2018.07.023"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Herb species occurrence data across the US",
      "description": "This is a dataset of the abundance of herbaceous species across ~15,000 plots across the US, along with related site date (e.g. climate, soil pH, etc.). \n\nThis dataset is associated with the following publication:\nClark, C., S. Simkin, E. Allen, W. Bowman, J. Belnap, M. Brooks, S. Collins, L. Geiser, F. Gilliam, S. Jovan, L. Pardo, B. Schultz, C. Stevens, K. Suding, H. Throop, and D. Waller. Differential vulnerability of 348 herbaceous species to atmospheric deposition of nitrogen and sulfur across the contiguous U.S..   Nature Plants. Nature Publishing Group, New York, NY, USA,  697-705, (2019).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500914",
      "keyword": [
        "NAAQS",
        "NOx",
        "SOx",
        "atmospheric deposition",
        "aquatic and terrestrial biodiversity",
        "biodiversity",
        "plants",
        "native plants",
        "critical loads"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_gram_forb_abund_and_site_attr_w_no_grad_or_soil_filter_31Mar2016_both_N_and_S.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500914/Data_gram_forb_abund_and_site_attr_w_no_grad_or_soil_filter_31Mar2016_both_N_and_S.csv",
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        }
      ],
      "modified": "2018-05-31",
      "references": [
        "https://doi.org/10.1038/s41477-019-0442-8"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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        ]
      },
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    },
    {
      "title": "WSON_Coweeta_Chen et al_2017",
      "description": "Datasets describing bulk and speciated water soluble organic nitrogen and carbon species in 24 hour high volume PM samples. \n\nThis dataset is associated with the following publication:\nChen, X., X. Mingjie, M. Hays, E. Eric, D. Schwede, and J. Walker. Characterization of organic nitrogen in aerosols at a forest site in the southern Appalachian Mountains May 2018.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, issue}: 6829-6846, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1413517",
      "keyword": [
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        "organic carbon",
        "Aerosol",
        "biomass burning",
        "organosulfate",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Coweeta hi-vol Chen et al for science hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1413517/Coweeta%20hi-vol%20Chen%20et%20al%20for%20science%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.5194/acp-18-6829-2018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pt-XR hyersensitivity data record",
      "description": "Dataset for figures included in associated publication. \n\nThis dataset is associated with the following publication:\nLehmann, D., and W. Williams. Cross-reactivity between halogenated platinum salts in an immediate-type respiratory hypersensitivity model.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(11-12): 472-481, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502453",
      "keyword": [
        "platinum",
        "hypersenstivity",
        "allergy",
        "cross-reactivity"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Pt_XR_hypersensitivity_Science Hub_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502453/Pt_XR_hypersensitivity_Science%20Hub_%20Data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2018-06-27",
      "references": [
        "https://doi.org/10.1080/08958378.2018.1554015"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in multi-media lead (Pb) meta-analyses. ",
      "description": "These data were extracted from published literature reporting lead (Pb) concentrations in multiple environmental media (soil, dust, air, water, and food) in the United States from 1996-2016. These data were used in research synthesis efforts. \n\nThis dataset is associated with the following publication:\nFrank, J., A. Poulakos, R. Tornero-Velez, and J. Xue. Systematic review and meta-analyses of lead (Pb) concentrations in environmental media (soil, dust, water, food, and air) reported in the United States from 1996 to 2016.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 694: 133489, (2019).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
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        "systematic review",
        "meta-analysis",
        "random effects model lead (Pb)",
        "Children's Environmental Health"
      ],
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        "fn": "Jessica Frank",
        "hasEmail": "mailto:frank.jessica@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental-A-Standards.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/Supplemental-A-Standards.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "supplemental-C-dust-loading-figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-C-dust-loading-figures.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "supplemental-D-dust-concentration-figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-D-dust-concentration-figures.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental-F-food-figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-F-food-figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental-B-soil-figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-B-soil-figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental-G-air-figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-G-air-figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental-E-water.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-E-water.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "supplemental-H-superfund.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504013/supplemental-H-superfund.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.07.295"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exposure-response arrays for noncancer and cancer endpoints for p,p'-DDD and analogues ",
      "description": "Data for the exposure-response arrays comparing effect levels for non-cancer and cancer endpoints for p,p'-DDD and analogues were sourced from the links provided. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502620",
      "keyword": [
        "Read-across",
        "quantitative risk assessment",
        "toxicokinetics",
        "in vitro high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Lucina Lizarraga",
        "hasEmail": "mailto:lizarraga.lucina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.atsdr.cdc.gov/toxprofiles/tp35.pdf",
          "accessURL": "https://www.atsdr.cdc.gov/toxprofiles/tp35.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.atsdr.cdc.gov/toxprofiles/tp47.pdf",
          "accessURL": "https://www.atsdr.cdc.gov/toxprofiles/tp47.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0147_summary.pdf",
          "accessURL": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0147_summary.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0369_summary.pdf",
          "accessURL": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0369_summary.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0328_summary.pdf",
          "accessURL": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0328_summary.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0347_summary.pdf",
          "accessURL": "https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0347_summary.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://hhpprtv.ornl.gov/issue_papers/DDEpp.pdf",
          "accessURL": "https://hhpprtv.ornl.gov/issue_papers/DDEpp.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://hhpprtv.ornl.gov/issue_papers/DDDpp.pdf",
          "accessURL": "https://hhpprtv.ornl.gov/issue_papers/DDDpp.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analogue search results for p,p'-DDD ",
      "description": "The dataset contains the outputs for the analogue searches conducted for the chemical of interest, p,p'-DDD. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502619",
      "keyword": [
        "Read-across",
        "quantitative risk assessment",
        "toxicokinetics",
        "in vitro high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Lucina Lizarraga",
        "hasEmail": "mailto:lizarraga.lucina@epa.gov"
      },
      "distribution": [
        {
          "title": "Analogue Search Results for pp'-DDD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502619/Analogue%20Search%20Results%20for%20pp%27-DDD.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.02.010"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ToxCast bioactivity data for p,p'-DDD and analogues ",
      "description": "Bioactivity data for p,p'-DDD and analogues from ToxCast assays conducted in liver cells were sourced from the EPA’s CompTox Chemistry Dashboard. The links also provide access to the ToxCast assay information and annotation data user guide. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502621",
      "keyword": [
        "Read-across",
        "quantitative risk assessment",
        "toxicokinetics",
        "in vitro high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Lucina Lizarraga",
        "hasEmail": "mailto:lizarraga.lucina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://comptox.epa.gov/dashboard",
          "accessURL": "https://comptox.epa.gov/dashboard",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "accessURL": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2015-08/documents/toxcast_assay_annotation_data_users_guide_20141021.pdf",
          "accessURL": "https://www.epa.gov/sites/production/files/2015-08/documents/toxcast_assay_annotation_data_users_guide_20141021.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues ",
      "description": "ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p’-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502622",
      "keyword": [
        "Read-across",
        "quantitative risk assessment",
        "toxicokinetics",
        "in vitro high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Lucina Lizarraga",
        "hasEmail": "mailto:lizarraga.lucina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf",
          "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable",
          "accessURL": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf",
          "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Silica disrupts iron homeostasis in alveolar macrophages to impact a biological effect",
      "description": "Cell investigation into mechanism of particle-related biological effect. \n\nThis dataset is associated with the following publication:\nGhio, A., J. Soukup, J. Stonehuerner , H. Tong, J. Richards, M. Gilmour, M. Madden, Z. Shen, and S.P. Kantrow. Quartz disrupts iron homeostasis in alveolar macrophages to impact a pro-inflammatory effect.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 32(9): 1737-1747, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503077",
      "keyword": [
        "particulate matter (PM)"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "kantrow figure 1b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%201b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 1d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%201d.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 1a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%201a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 1e.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%201e.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 2A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%202A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 3a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%203a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 3b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%203b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 3c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%203c.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 3d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%203d.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 4a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%204a.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%204b.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%204c.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 4d.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%204d.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 5a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%205a.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%205b.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "kantrow figure 6a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%206a.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%206b.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 6c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%206c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 7a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%207a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 7b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%207b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kantrow figure 7c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503077/kantrow%20figure%207c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-29",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.8b00301"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Commercial Waste National Totals by NAICS and US Satellite Tables for USEEIO",
      "description": "Three tables are provided of US commercial waste generation by NAICS codes  for (1) Commercial non-hazardous waste (non-construction),\n(2) Commercial non-hazardous waste from construction, and\n(3) Commercial RCRA hazardous waste.\nThe unique waste types within these three tables are defined in referenced sources. \n\nThese national totals by NAICS are mapped to BEA (NAICS-based) detailed industries (388 total) from the BEA 2007 benchmark input-output tables. A crosswalk table is provided. \n\nThree satellite tables for the USEEIO model are provided using the mapped national waste totals and the industry gross output for the data year for that BEA industry after it has been adjusted to 2013 USD using the BEA industry-specific chain price index. See the associated manuscript for more details. The satellite table files are formatted for use in the USEEIO modeling framework (http://github.com/USEPA/useeio/) to incorporate into a USEEIO model. \n\nThis dataset is associated with the following publication:\nMeyer, D.E., M. Li, and W.W. Ingwersen. Analyzing economy-scale solid waste generation using the United States environmentally-extended input-output model.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 157: 104795, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503688",
      "keyword": [
        "commercial waste generation",
        "industry waste generation",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Commercial Waste National Totals by NAICS and US Satellite Tables for USEEIO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503688/Commercial%20Waste%20National%20Totals%20by%20NAICS%20and%20US%20Satellite%20Tables%20for%20USEEIO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-25",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2020.104795"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ambient Particulate Matter and Acrolein Co-Exposure Increases Myocardial Dyssynchrony in Mice via TRPA1",
      "description": "We have examined the potential for interactive cardiovascular effects of repeated, intermittent co-exposure to concentrated ambient particulate matter (CAPs) and acrolein, and the potential role of transient receptor potential cation channel A1 (TRPA1), which we previously linked to air pollution-induced cardiac arrhythmogenesis. Chemical and source characteristics of collected particles was evaluated, as well as wind and weather patterns during exposure. Female B6129 mice and Trpa1-/- mice (n=6) were exposed to filtered air (FA), CAPs (46 µg/m3 of PM2.5 approximately 160 nm diameter), Acrolein (0.42 ppm) or CAPs+Acrolein for 3hrs/day, 2days/week, for 4 weeks. Cardiac strain data, heart function and dimensions, and transmitral blood flow were investigated with echocardiography (40 MHz) before exposures, 1 day after the first exposure, and 1 day after the final exposure. Several other biological endpoints were evaluated but the key findings from ultrasound echocardiography assessments were: elapsed time between peak strain in adjacent wall segments (i.e. myocardial strain delay), a measure of myocardial dyssynchrony, increased by ~5-fold in B6129 mice after the final exposure to CAPs+Acrolein when compared to strain delay in B6129 mice exposed to FA, CAPs, or Acrolein alone, and when compared to strain delay in Trpa1-/- mice exposed to CAPs+Acrolein. There were no changes after the first exposure in any group. \n\nThis dataset is associated with the following publication:\nThompson, L., L. Walsh, B. Martin, J. Mcgee, C. Wood, K. Kovalcik, P. Pancras, N. Coates, A. Ledbetter, D. Davies, W. Cascio, M. Higuchi, M. Hazari, and A. Farraj. Ambient Particulate Matter and Acrolein Co-Exposure Increases Myocardial Dyssynchrony in Mice: Evidence for TRPA1 Involvement.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  167(2): 559-572, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1411215",
      "keyword": [
        "Ambient air quality",
        "air pollution exposure",
        "Fine Particulate Matter",
        "acrolein",
        "multiple pollutants",
        "co-exposure",
        "heart function",
        "echocardiography",
        "TRPA1",
        "myocardial synchrony",
        "myocardial dyssynchrony"
      ],
      "contactPoint": {
        "fn": "Leslie Thompson",
        "hasEmail": "mailto:thompson.leslie@epa.gov"
      },
      "distribution": [
        {
          "title": "CAPs Acrolein Source Apportionment.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411215/CAPs%20Acrolein%20Source%20Apportionment.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CAPs Acrolein Elemental Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411215/CAPs%20Acrolein%20Elemental%20Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CAPs Acrolein Chamber and Weather Values.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411215/CAPs%20Acrolein%20Chamber%20and%20Weather%20Values.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CAPs Acrolein Biological Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1411215/CAPs%20Acrolein%20Biological%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-11",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy262"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Time series analysis of wintertime O3 and NOx formation",
      "description": "Concentrations of 11 species are reported from continuous measurements taken during a wintertime field study in Utah. Time series data for measured species generally displayed strong diurnal patterns. Six species show a diurnal pattern of daytime maximums (NO, NOy, O3, H2O2, CH2O2, and Cl2), while five species show a diurnal pattern of night time maximums (NO2, HONO, ClNO2, HNO3, and N2O5). Vector autoregression analyses were completed to better understand important species influencing the formation of O3 and NOx. For the species studied, r2 values of predicted versus measured concentrations ranged from 0.82–0.99. Fitting parameters for the autoregressive matrix, Pi, indicated the importance of species precursors. In addition, values of fitting parameters for Pi were relatively insensitive to data size, with variations generally <10%. Variable causation was quantified using the Granger causation method. Assuming O3 and NOx behave as chemical products, reactants (in order of importance) are as follows: H2O2, N2O5, HONO, and ClNO2. \n\nThis dataset is associated with the following publication:\nOlson, D., T. Riedel, R. Long, J. Offenberg, M. Lewandowski, and T. Kleindienst. Time series analysis of wintertime O3 and NOx formation using vector autoregressions.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 218: 116988, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503977",
      "keyword": [
        "machine learning",
        "time series analysis",
        "NOx",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Olson Utah Time Series Fig 1-5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503977/Olson%20Utah%20Time%20Series%20Fig%201-5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-22",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.116988"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TracMyAir data",
      "description": "This dataset consists of input and output data for sensitivity analysis of the model. \n\nThis dataset is associated with the following publication:\nBreen, M., C. Seppanen, V. Isakov, S. Arunachalam, M. Breen, J. Samet, and H. Tong. Development of TracMyAir Smartphone Application for Modeling Exposures to Ambient PM2.5 and Ozone.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(18): 3468, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504092",
      "keyword": [
        "human exposure modeling",
        "fine particulate matter (PM2.5)",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Breen",
        "hasEmail": "mailto:breen.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "tracmyair_input_data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504092/tracmyair_input_data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tracmyair_output_data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504092/tracmyair_output_data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-01",
      "references": [
        "https://doi.org/10.3390/ijerph16183468"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fetal and Postnatal Cortical Thyroid Hormone Levels and Bioindicators",
      "description": "thyroid hormones in serum and in brain were measured in fetal and neonatal rat cortex after graded levels of a thyroid hormone synthesis inhibitor were administered to pregnant rat dams. A number of gene targets were assessed to look for measures of thyroid hormone action in these same tissues. \n\nThis dataset is associated with the following publication:\nOShaughnessy, K., C. Wood, R. Ford, P. Kosian, M. Hotchkiss, S. Degitz, and M. Gilbert. Thyroid hormone disruption in the fetal and neonatal rat: Predictive hormone measures and bioindicators of hormone action in the developing cortex- ToxSci.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,   163-179, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1420050",
      "keyword": [
        "thyroid",
        "brain developoment",
        "molecular markers"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "OShaughnessyetalScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1420050/OShaughnessyetalScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy190"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reconnaissance of Mixed Organic and Inorganic Chemicals in Private and Public Supply Tapwaters at Selected Residential and Workplace Sites in the United States",
      "description": "In vitro bioactivity concentrations and chemical concentrations of estrogens, androgens, and glucocorticoids from a pilot study of US tapwaters. In vitro bioassays include T47D-Kbluc, MDA-kb2, and a CV-1 cell line transduced with human glucocorticoid receptor. \n\nThis dataset is associated with the following publication:\nBradley, P., D. Kolpin, K. Romanok, K. Smalling, M. Focaszio, J. Brown, M. Cardon, K. Carpenter, S. Corsi, L. DeCicco, J. Dietze, N. Evans, E. Furlong, C. Givens, J. Gray, D. Griffin, C. Higgins, M. Hladik, L. Iwanowicz, C. Journey, K. Kuivila, J. Masoner, C. McDonough, M. Meyer, J. Orlando, M. Strynar, C. Weis, and V. Wilson. Reconnaissance of Mixed Organic and Inorganic Chemicals in Private and Public Supply Tapwaters at Selected Residential and Workplace Sites in the United States.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  13972-13985, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503956",
      "keyword": [
        "tapwater",
        "bioassay",
        "contaminant mixtures",
        "point of use drinking water"
      ],
      "contactPoint": {
        "fn": "Vickie Wilson",
        "hasEmail": "mailto:wilson.vickie@epa.gov"
      },
      "distribution": [
        {
          "title": "Data link - Tap water pilot.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503956/Data%20link%20-%20Tap%20water%20pilot.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5066/F7959GVJ",
          "accessURL": "https://doi.org/10.5066/F7959GVJ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-18",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04622"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503956/documents/Dataset%20Dictionary%20for%20ScID%20A-hqcg%20Bradley%20etal%20.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "AWG and Bottled Water source data and results files",
      "description": "Dataset of different AWG units and bottled water units for different scales were provided.  The LCA results of the different systems were provided as well. \n\nThis dataset is associated with the following publication:\nAbsar, M., S. Cashman, X. Ma, J. Garland, and M. Jahne. Life Cycle and Cost Assessments of Atmospheric Water Generation Technologies and Alternative Potable Water Emergency Response Options. U.S. Environmental Protection Agency, Washington, DC, USA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503094",
      "keyword": [
        "Atmopheric Water Generation",
        "Alternative potable water source",
        "bottled water",
        "Life cycle assessment (LCA)",
        "Life Cycle Cost"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "AppendixA-AWG_BottledWaterDatav4_12.19.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503094/AppendixA-AWG_BottledWaterDatav4_12.19.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AppendixB-Results_Template_AWGBottledWaterv4_12.19.18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503094/AppendixB-Results_Template_AWGBottledWaterv4_12.19.18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AWG_LCA_Report_Final_1.29.19.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503094/AWG_LCA_Report_Final_1.29.19.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AWG_LCA_Report_Final_1.29.19.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503094/AWG_LCA_Report_Final_1.29.19.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Consolidated Comments & Response_3.12.19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503094/Consolidated%20Comments%20%26%20Response_3.12.19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pollen and honeybee neonicotinoid exposure data and analyses",
      "description": "Data on the presence of corn seed treatment insecticides in bee-collected pollen and increased honey bee mortality associated with corn planting, persistence of the insecticides inside honey bee colonies, and long-term growth of these colonies in central Ohio. We also constructed spatial models, based on empirical data of honey bee foraging and dispersion patterns of planter dust, and landscape compositions, to simulate hypothesized exposure routes via contamination of foraging resources and aerial exposure resulting from flight through localized dust plumes from planters and diffuse dust in the landscape over all resulting from widespread planting activity. Insecticide concentrations under different hypothesized exposure routes were then compared with the observed levels of contamination to evaluate these hypotheses. \n\nThis dataset is associated with the following publication:\nKuan, C., G. DeGrandi-Hoffman, R. Curry, K. Garber, A. Kanarek, M. Snyder, K. Wolfe, and T. Purucker. Sensitivity analyses for simulating pesticide impacts on honey bee colonies.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 376: 15-27, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1500923",
      "keyword": [
        "neonicotinoids",
        "honeybees"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/rare_pollen/",
          "accessURL": "https://github.com/puruckertom/rare_pollen/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2018.02.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "X-Ray diffraction of titanium dioxide nanoparticles and their inhibition of marine diatom growth",
      "description": "The XRD text files show counts per second of X-ray diffraction as a function of diffraction angle for six nanomaterials: industrial TiO2, toothpaste TiO2, sunscreen TiO2 and these materials after algae toxicity test. Figure 1 in TiO2 paper shows the raw data for the inhibition (%) as a function of time (h) for the nanomaterials at 5 mg/L concentration. \n\nThis dataset is associated with the following publication:\nGalletti, A., S. Seo, S.H. Joo, C. Su, and P. Blackwelder. Effects of titanium dioxide nanoparticles derived from consumer products on the marine diatom Thalassiosira pseudonana.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 23: 21113-21122, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503202",
      "keyword": [
        "Nanoproducts . Commercial TiO2",
        "Marine",
        "environments . Toxicity . Exposure . Algae"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig.1 in TiO2 paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/Fig.1%20in%20TiO2%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SunscreenTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/SunscreenTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IndustrialTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/IndustrialTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToothpasteTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/ToothpasteTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToxtestindustrialTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/ToxtestindustrialTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToxtestsunscreenTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/ToxtestsunscreenTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToxtesttoothpasteTiO2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503202/ToxtesttoothpasteTiO2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-27",
      "references": [
        "https://doi.org/10.1007/s11356-016-7556-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Growth inhibition of algae and X-ray diffractions of ZnO ",
      "description": "The XRD text files show counts per second of X-ray diffraction as a function of diffraction angle for four nanomaterials: industrial ZnO, sunscreen ZnO, industrial ZnO after algae toxicity test, sunscreen ZnO after algae toxicity test. Figure 2 in ZnO paper shows the raw data for the inhibition (%) as a function of time (h) for the nanomaterials at 10 mg/L and 50 mg/L concentrations. \n\nThis dataset is associated with the following publication:\nSpisni, E., S. Seo, S.H. Joo, and C. Su. Release and toxicity comparison between industrial- and sunscreen-derived nano-ZnO particles.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 13: 2485-2494, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503200",
      "keyword": [
        "Thalassiosira pseudonana",
        "Aggregation",
        "Commercial ZnO",
        "ecotoxicity"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig. 2 in ZnO paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503200/Fig.%202%20in%20ZnO%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IndustrialZnO.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503200/IndustrialZnO.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SunscreenZnO.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503200/SunscreenZnO.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToxtestindustrialZnO.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503200/ToxtestindustrialZnO.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ToxtestsunscreenZnO.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503200/ToxtestsunscreenZnO.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-27",
      "references": [
        "https://doi.org/10.1007/s13762-016-1077-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PROPS model output for individual species",
      "description": "There are two datasets. First, a dataset for the PROPS models (i.e. “US-PROPS_v2_models_May30_2019.xlsx,” which describe the parameters for the PROPS models for the 1503 species that were included in the study. Metadata for this data is provided in the excel spreadsheet. Second, is a spreadsheet of the “critical load functions” (CLF) that are derived from the PROPS models (i.e. “PROPS-CLF_results_May30_2019.xlsx”). Metadata for this dataset are also provided in the spreadhseet. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504252",
      "keyword": [
        "nitrogen deposition",
        "sulfur deposition",
        "biodiversity",
        "native plants",
        "critical loads",
        "NAAQS",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "US-PROPS_v2_models_May30_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504252/US-PROPS_v2_models_May30_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PROPS-CLF_results_May30_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504252/PROPS-CLF_results_May30_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Fluctuating Emissions and Availability of Health Reference Values: Implications for Estimating Acute Exposure and Health Risk (Manuscript)",
      "description": "This the raw data that the manuscript: Fluctuating Emissions and Availability of Health Reference Values: Implications for Estimating Acute Exposure and Health Risk is based on. \n\nThis dataset is associated with the following publication:\nStewart, M., J. Hirtz, G. Woodall, C. Weitekamp, and K. Spence. A Comparison of Hourly with Annual Air Pollutant Emissions: Implications for Estimating Acute Exposure and Public Health Risk.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(7): 848-856, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500906",
      "keyword": [
        "emissions",
        "Risk Assessment",
        "air toxics"
      ],
      "contactPoint": {
        "fn": "Michael Stewart",
        "hasEmail": "mailto:stewart.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.regulations.gov/document?D=EPA-HQ-OAR-2012-0640-0089",
          "accessURL": "https://www.regulations.gov/document?D=EPA-HQ-OAR-2012-0640-0089",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/airmarkets/clean-air-markets-data-resources",
          "accessURL": "https://www.epa.gov/airmarkets/clean-air-markets-data-resources",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/air-emissions-inventories/2011-national-emissions-inventory-nei-data",
          "accessURL": "https://www.epa.gov/air-emissions-inventories/2011-national-emissions-inventory-nei-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/fera/dose-response-assessment-assessing-health-risks-associated-exposure-hazardous-air-pollutants",
          "accessURL": "https://www.epa.gov/fera/dose-response-assessment-assessing-health-risks-associated-exposure-hazardous-air-pollutants",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-01",
      "references": [
        "https://doi.org/10.1080/10962247.2019.1593261"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "References - 508 compliant",
      "description": "Three files are available. The first contains a listing of references evaluated in this review article. The second and third contain data extracted from each of those references. Those data files contain details about error type, pollutant, bias, and coverage probability. \n\nThis dataset is associated with the following publication:\nRichmond-Bryant, J., and T. Long. Influence of Exposure Errors on Results from Epidemiologic Studies of Different Designs.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  1-10, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1500936",
      "keyword": [
        "exposure measurement error",
        "particulate matter",
        "nitrogen dioxide",
        "sulfur dioxide",
        "air pollution",
        "epidemiology"
      ],
      "contactPoint": {
        "fn": "Jennifer Richmond-Bryant",
        "hasEmail": "mailto:richmond-bryant.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "bias_data_for_hclust_LT_avg_04232018_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500936/bias_data_for_hclust_LT_avg_04232018_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "bias_data_for_hclust_time-series_11052017_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500936/bias_data_for_hclust_time-series_11052017_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "implications_for_epi_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500936/implications_for_epi_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-11",
      "references": [
        "https://doi.org/10.1038/s41370-019-0164-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500936/documents/Data_Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Boreal bird body mass dataset (Holling 1992)",
      "description": "The dataset provided by Holling(1922) includes species and body masses of boreal forest birds.  It is a commonly used dataset for discontinuity analysis. This dataset is not publicly accessible because: It is secondary data accessible online. It can be accessed through the following means: All data used are freely available and located in the appendix of Holling (1992):https://esajournals.onlinelibrary.wiley.com/doi/abs/10.2307/2937313. Format: Electronic text files. \n\nThis dataset is associated with the following publication:\nBarichievy, C., D. Angeler, T. Eason, A. Garmestani, K. Nash, C. Stow, S. Sundstrom, and C. Allen. A method to detect discontinuities in census data.   Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 8(19): 9614-9623, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504118",
      "keyword": [
        "boreal forest birds",
        "discontinuity analysis",
        "ecosystem management",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-11",
      "references": [
        "https://doi.org/10.1002/ece3.4297"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-fqzq_dataset_20191003.xlsx",
      "description": "Data corresponding to graphs in paper. \n\nThis dataset is associated with the following publication:\nOster, C., M. Kaminski, J. Jerden, and Y. Franchini. Evaluating Solid Sorbents for Recycling Wash Waters Containing Strontium and Calcium.   Journal of Hazardous, Toxic, and Radioactive Waste. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 23(1): ., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504541",
      "keyword": [
        "RDD",
        "radiological",
        "radiological dispersal device",
        "nuclear power plant",
        "stronium",
        "Sr-90"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-fqzq_dataset_20191017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504541/MagnusonMatthew_A-fqzq_dataset_20191017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-17",
      "references": [
        "https://doi.org/10.1061/(asce)hz.2153-5515.0000425"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Observations of total phosphorous (TP) to support nearshore nutrient modeling, 2015.",
      "description": "The USEPA participated in the 2015 Cooperative Science and Monitoring Initiative\n(CSMI) focus year for Lake Michigan.  This work is describd here:\nhttp://www.iiseagrant.org/pdf/LakeMichiganCSMI2015FullReport.pdf\n\nAs a small sub-component of this work EPA staff collected water quality data\nat the locations listed in grand_musk_tp.csv.  The fields in grand_musk_tp.csv\nare described in grand_musk_tp.metadata.csv.  This data was collected to\nsupport (provide validation data for) EPA nearshore nutrient modeling work\ndescribed in the paper (in prep.) “Nearshore Nutrient Circulation in the Great\nLakes - can a simple model provide transparency and utility?”.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503379",
      "keyword": [
        "nearshore",
        "phosphorus",
        "model"
      ],
      "contactPoint": {
        "fn": "Terry Brown",
        "hasEmail": "mailto:brown.terryn@epa.gov"
      },
      "distribution": [
        {
          "title": "grand_musk_tp.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503379/grand_musk_tp.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "grand_musk_tp.readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503379/grand_musk_tp.readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "grand_musk_tp.metadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503379/grand_musk_tp.metadata.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wilkin et al. (2019) dataset",
      "description": "The dataset contains chromatographic traces of samples containing thioarsenic species and solubility data for disordered orpiment (arsenic sulfide). \n\nThis dataset is associated with the following publication:\nWilkin, R.T., R.G. Ford, L.M. Costantino, R.R. Ross, D.G. Beak, and K.G. Scheckel. Thioarsenite Detection and Implications for Arsenic Transport in Groundwater.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(20): 11684-11693, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503989",
      "keyword": [
        "arsenic",
        "thioarsenite",
        "remediation",
        "arsenic speciation",
        "groundwater",
        "chromium",
        "nickel",
        "iron sulfides",
        "uranium"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkin et al. (2019) dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503989/Wilkin%20et%20al.%20%282019%29%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-24",
      "references": [
        "https://doi.org/10.1021/acs.est.9b04478"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KC-TRAQS data fusion",
      "description": "Data collected during the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). \n\nThis dataset is associated with the following publication:\nIsakov, V., S. Arunachalam, R. Baldauf, M. Breen, P. Deshmukh, A. Hawkins, E. Kimbrough, S. Krabbe, B. Naess, M. Serre, and A. Valencia. Combining Dispersion Modeling and Monitoring Data for Community-Scale Air Quality Characterization.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 10(10): 610, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504143",
      "keyword": [
        "near-source",
        "dispersion modeling",
        "rail yard",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "KC-TRAQS_data_fusion.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504143/KC-TRAQS_data_fusion.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-24",
      "references": [
        "https://doi.org/10.3390/atmos10100610"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for a manuscript entitled 'Treatment of reverse osmosis concentrate using an algal-based MBR combined with ozone pretreatment'",
      "description": "No data is available because the raw data was not generated in EPA. This dataset is not publicly accessible because: All data for this manuscript were collected and managed by our collaborator, Sejong University in Seoul Korea. It can be accessed through the following means: Contact Dr. Hyunchul Kim (animaplus@hanmail.net). Format: N/A. \n\nThis dataset is associated with the following publication:\nWoo, H., H.S. Yang, T. Timmes, C. Han, J. Nam, S. Byun, S. Kim, H. Ryu, and H. Kim. Treatment of reverse osmosis concentrate using an algal-based MBR combined with ozone pretreatment.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 159: 164-175, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504085",
      "keyword": [
        "reverse osmosis concentrate",
        "ozonation",
        "microalgae",
        "microfiltration",
        "fouling"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-07",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.05.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A runoff trading system to meet watershed-level stormwater reduction goals with parcel-level green infrastructure installation",
      "description": "Data are estimated stormwater values based on curve numbers (CN) values are based on hydrologic soil groups (A, B, C, and D) and four land cover types in the study area, such as, grassland, forest land, impervious area, and other open space.  We apply SMPSS-TRAC to a watershed located in Hamilton County, Ohio, USA and develop five scenarios representing increasing use of GI.  We test the scenarios under a 5-year rainfall intensity and set a cap of runoff for each scenario at a level that is equal to the runoff from an undeveloped status (1.03-inch runoff depth for the watershed).  With the proposed SMPSS-TRAC, the watershed authority could encourage all parcel owners to install suitable GI or purchase credits from the market. \n\nThis dataset is associated with the following publication:\nFu, X., M. Hopton, X. Wang, H. Goddard, and H. Liu. A runoff trading system to meet watershed-level stormwater reduction goals with parcel-level green infrastructure installation.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 689: 1149-1159, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504551",
      "keyword": [
        "stormwater management",
        "stormwater trading",
        "scenario planning",
        "planning support system",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Output of the paper SMPSS-TRAC to STICS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504551/Output%20of%20the%20paper%20SMPSS-TRAC%20to%20STICS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.06.439"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Decentralized water reuse for San Francisco building and district scenarios",
      "description": "The dataset included the inventories, impact assessments and cost analyses of different scenarios at the different scales (building and district) and with different water source being reuse (mixed wastewater, graywater).  And also inventoaries for thermal recovery and vertical flow wetland. \n\nThis dataset is associated with the following publication:\nMorelli, B., S. Cashman, X. Ma, J. Garland, D. Bless, and M. Jahne. Life Cycle Assessment and Cost Analysis of Distributed Mixed Wastewater and Graywater Treatment for Water Recycling in the Context of an Urban Case Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2019.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503201",
      "keyword": [
        "water reuse"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "AeMBR Graywater Building Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AeMBR%20Graywater%20Building%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AeMBR Mixed Wastewater Building Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AeMBR%20Mixed%20Wastewater%20Building%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AnMBR Mixed Wastewater Building Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AnMBR%20Mixed%20Wastewater%20Building%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Decentralized Disinfection Scenarios_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/Decentralized%20Disinfection%20Scenarios_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AeMBR Mixed Wastewater District Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AeMBR%20Mixed%20Wastewater%20District%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AeMBR Mixed Wastewater District Scale Unsewered LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AeMBR%20Mixed%20Wastewater%20District%20Scale%20Unsewered%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AnMBR Graywater Building Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AnMBR%20Graywater%20Building%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/README.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AeMBR Graywater District Scale LCI Calcs_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/AeMBR%20Graywater%20District%20Scale%20LCI%20Calcs_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Building and District Reuse Scenarios_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/Building%20and%20District%20Reuse%20Scenarios_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Decentralized Thermal Recovery Calculations_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/Decentralized%20Thermal%20Recovery%20Calculations_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCA_LCCA_Distributed_GW_WW_Treatment.DraftFinal.6.7.2019.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/LCA_LCCA_Distributed_GW_WW_Treatment.DraftFinal.6.7.2019.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCA_LCCA_Distributed_GW_WW_Treatment.DraftFinal.6.7.2019_trackchanges.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/LCA_LCCA_Distributed_GW_WW_Treatment.DraftFinal.6.7.2019_trackchanges.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Decentralized Life Cycle Cost Assessment_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/Decentralized%20Life%20Cycle%20Cost%20Assessment_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Decentralized LCIA Results_SF Reuse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503201/Decentralized%20LCIA%20Results_SF%20Reuse.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emergy tables of unit process involved in struvite and DAP productions",
      "description": "This dataset compiled the emergy tables of different unit processes used in in struvite production and DAP production. \n\nThis dataset is associated with the following publication:\nTheregowda, R., A. González-Mejía, C. Ma, and J. Garland. Nutrient recovery from municipal wastewater for sustainable food production systems: An alternative to traditional fertilizers..   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 36(7): 833-842, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500946",
      "keyword": [
        "nutrient recovery",
        "struvite",
        "wastewater",
        "system analysis",
        "Emergy",
        "resource recovery",
        "fertilizer"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "P EMergy 2018_Latest.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500946/P%20EMergy%202018_Latest.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-12",
      "references": [
        "https://doi.org/10.1089/ees.2019.0053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sequential Sampling Paper",
      "description": "This work discusses drinking water sampling efforts for lead in Flint, MI. \n\nThis dataset is associated with the following publication:\nLytle, D., M. Schock, K. Wait, K. Cahalan, V. Bosscher, A. Porter, and M. Deltoral. SEQUENTIAL DRINKING WATER SAMPLING AS A TOOL FOR EVALUATING LEAD IN FLINT, MICHIGAN.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 157: 40-54, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500899",
      "keyword": [
        "lead",
        "drinking water",
        "sequential samples",
        "Orthophosphate"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "CleanedData_3_4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500899/CleanedData_3_4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-22",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.03.042"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating Lightning NOX Production in CMAQv5.2: Performance Evaluations",
      "description": "The description of the dataset and all relevant information are provided at the linked webpage. \n\nThis dataset is associated with the following publication:\nKang, D., K. Foley, R. Mathur, S. Roselle, K. Pickering, and D. Allen. Simulating Lightning NO Production in CMAQv5.2: Performance Evaluations.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 12(10): 4409–4424, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503744",
      "keyword": [
        "Lightning NOx emissions",
        "Ozone",
        "air quality",
        "NOx emissions"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/3360744",
          "accessURL": "https://zenodo.org/record/3360744",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-02",
      "references": [
        "https://doi.org/10.5194/gmd-12-4409-2019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Exposure Factors dataset",
      "description": "This dataset consists of the data used to create the tables and figures for this paper. \n\nThis dataset is associated with the following publication:\nBaxter, L., K. Dionisio, P. Pradeep, K. Rappazzo, and L. Neas. Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM2.5 and mortality.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 29(4): 557-567, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1395252",
      "keyword": [
        "Fine Particulate Matter",
        "Exposure factors",
        "epidemiology",
        "meta-regression"
      ],
      "contactPoint": {
        "fn": "Lisa Baxter",
        "hasEmail": "mailto:baxter.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "Baxter A-zcsc datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1395252/Baxter%20A-zcsc%20datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-25",
      "references": [
        "https://doi.org/10.1038/s41370-018-0080-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Application of a salivary immunoassay in a prospective community study of waterborne infections",
      "description": "The data are stored as a SAS dataset containing PII. The dataset contains baseline questionnaire, monthly follow-up questionnaire data, and results and salivary antibody tests for IgG and IgA response to selected antigens of potentially waterborne pathogens. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Format: The study database include baseline questionnaire, monthly follow-up questionnaire, and results of salivary antibody tests for 1,986 study participants. The dataset contains PII data. The data are stored as a SAS database. \n\nThis dataset is associated with the following publication:\nEgorov, A., S. Griffin, H. Ward, K. Reilly, G.S. Fout, and T. Wade. Application of a salivary immunoassay in a prospective community study of waterborne infections.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 142: 289-300, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1410987",
      "keyword": [
        "waterborne infection",
        "cryptosporidium",
        "noroviruses",
        "salivary antibody",
        "drinking water",
        "recreational water"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2017-11-30",
      "references": [
        "https://doi.org/10.1016/j.watres.2018.05.030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cost modeling data",
      "description": "The associated excel files hold the cost predictions for nitrate and perchlorate treatment based on a series of assumptions outlined in the paper.  No experimental data was generated in this project. \n\nThis dataset is associated with the following publication:\nLatham , M. SSWR FY14 Output Summary Report: Performance information and design tools are developed for innovative technologies and approaches for Small Drinking Water and Wastewater Systems. U.S. Environmental Protection Agency, Washington, DC, USA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504015",
      "keyword": [
        "nitrate",
        "perchlorate",
        "drinking water",
        "treatment",
        "cost"
      ],
      "contactPoint": {
        "fn": "Thomas Speth",
        "hasEmail": "mailto:speth.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Perchlorate Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504015/Copy%20of%20Perchlorate%20Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2019-04-26 Nitrate Figure 3 with FXB and 3 pct.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504015/2019-04-26%20Nitrate%20Figure%203%20with%20FXB%20and%203%20pct.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2019-04-15 Nitrate Figures 1 and 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504015/2019-04-15%20Nitrate%20Figures%201%20and%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used for Appendix B of A natural capital perspective on waterfront revitalization in Great Lakes Areas Concern: Goals, beneficiaries, and indicators",
      "description": "Keyword analysis of nine IAGLR AOC case studies. \n\nThis dataset is associated with the following publication:\nAngradi, T., K. Williams, J. Hoffman, and D. Bolgrien. Goals, beneficiaries, and indicators  of waterfront revitalization in Great Lakes Areas of Concern and coastal communities.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(5): 851-863, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503303",
      "keyword": [
        "Keyword analysis",
        "AOC case studies",
        "Natural capital",
        "Great Lakes",
        "Waterfront revitalization",
        "Great Lakes Areas of Concern",
        "sustainability",
        "ecosystem indicators",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Theodore Angradi",
        "hasEmail": "mailto:angradi.theodore@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix B Keyword analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503303/Appendix%20B%20Keyword%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-24",
      "references": [
        "https://doi.org/10.1016/j.jglr.2019.07.001",
        "https://pasteur.epa.gov/uploads/10.23719/1503303/documents/Appendix%20B%20Keyword%20analysis.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demodifying RNA for Transcriptomic Analyses of Archival Formalin-Fixed Paraffin-Embedded Samples",
      "description": "Low RNA yield and quality limit use of formalin-fixed paraffin-embedded (FFPE) tissue samples for genomic analyses. In this study, we evaluated methods to demodify RNA highly fragmented and crosslinked by formalin fixation. Primary endpoints were RNA recovery, RNA-sequencing quality metrics, and target gene responses to a reference chemical (phenobarbital, PB). Frozen mouse liver samples from control and PB groups (n=6/group) were divided and preserved for 3 months as follows: frozen (FR); 70% ethanol (OH); 10% buffered formalin for 18 hours followed by ethanol (18F); and 10% buffered formalin (3F). Samples from OH, 18F, and 3F groups were processed to FFPE blocks and sectioned for RNA isolation. The latter group received no additional treatment (3F) or the following demodification protocols: short heated incubation with TAE buffer; overnight heated incubation with an organocatalyst using two different isolation kits; or overnight heated incubation without organocatalyst. TruSeq Stranded Total RNA libraries with Ribo-Zero were built and sequenced using the Illumina HiSeq platform. Extended incubation with or without organocatalyst increased RNA yield >3-fold and enhanced quality compared to 3F, as indicated by higher RNA integrity number (>1.5-fold) and fragment analysis values (>3.0-fold). Post-sequencing metrics showed reduced bias in gene coverage and deletion rates for all extended incubation groups. Following PB-induced differential gene expression analysis, all demodification groups showed increased overlap with FR in genes (73-83%) and pathways (91-94%) compared to 3F overlap with FR (60% and 63%, respectively). These results demonstrate simple changes in RNA isolation methods that can enhance genomic analyses of FFPE samples. \n\nThis dataset is associated with the following publication:\nWehmas, L., C. Wood, R. Gagne, A. Williams, C. Yauk, M. Gosink, D. Dalmas, R. Hao, R. O'Lone, and S. Hester. Demodifying RNA for Transcriptomic Analyses of Archival Formalin-Fixed Paraffin-Embedded Samples.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  162(2): 535-547, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503129",
      "keyword": [
        "RNA_Seq analysis",
        "Formalin-fixed paraffin embedded samples",
        "Demodification methods"
      ],
      "contactPoint": {
        "fn": "Susan Hester",
        "hasEmail": "mailto:hester.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103440",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103440",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wehmas_to_Hester.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503129/Wehmas_to_Hester.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-11",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Early Proteome Shift and Serum Bioactivity Precede Diesel Exhaust-induced Impairment of Cardiovascular Recovery in Spontaneously Hypertensive Rats",
      "description": "The dataset is an excel spreadsheet containing the raw data used to generate the tables and figures in the manuscript. \n\nThis dataset is associated with the following publication:\nThompson, L., J. Shanahan, C. Perez, N. Coates, C. King, M. Hazari, J. Brown, and A. Farraj. Early Proteome Shift and Serum Bioactivity Precede Diesel Exhaust-induced Impairment of Cardiovascular Recovery in Spontaneously Hypertensive Rats.   Scientific Reports. Nature Publishing Group, London,  UK, 9(1): 6885, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500880",
      "keyword": [
        "air pollution",
        "cardiovascular",
        "Diesel Exhaust",
        "left ventricular pressure",
        "dobutamine",
        "in vitro",
        "endothelial cells",
        "proteomics",
        "serum bioactivity"
      ],
      "contactPoint": {
        "fn": "Leslie Thompson",
        "hasEmail": "mailto:thompson.leslie@epa.gov"
      },
      "distribution": [
        {
          "title": "Thompson et al_All Data_Sci Reports_11-16-2018.docx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500880/Thompson%20et%20al_All%20Data_Sci%20Reports_11-16-2018.docx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-21",
      "references": [
        "https://doi.org/10.1038/s41598-019-43339-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF-ACI-Paper-1",
      "description": "Data for all tables and figures are in netCDF format. \n\nThis dataset is associated with the following publication:\nGlotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. The Weather Research and Forecasting Model with Aerosol–Cloud Interactions (WRF-ACI): Development, Evaluation, and Initial Application.   Monthly Weather Review. American Meteorological Society, Boston, MA, USA, 147(5): 1491-1511, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1413202",
      "keyword": [
        "numerical weather prediction",
        "aerosol radiative forcing",
        "precipitation cloud life cloud cover",
        "aerosol indirect effects"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/WRF-ACI-Part-1-Data/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/WRF-ACI-Part-1-Data/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-13",
      "references": [
        "https://doi.org/10.1175/mwr-d-18-0267.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice",
      "description": "The dataset consists of 2 revised files. The excel file shows all of the individual data used in calculation of the tables and figures. Each table and figure has data stored on a separate tab of the file. The zip file consists of 5 GraphPad Prism files which show the statistics and graphs used in the paper. The names of the 5 files indicate which figures and tables are analyzed statistically and the graphs generated from the data. \n\nThis dataset is associated with the following publication:\nHargrove, M., Y.H. Kim, C. King, C. Wood, M. Gilmour, J. Dye, and S. Gavett. Smoldering and Flaming Biomass Wood Smoke Inhibit Respiratory Responses in Mice.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(6): 236-247, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503946",
      "keyword": [
        "wood smoke",
        "asthma",
        "biomass burning",
        "pulmonary function",
        "MICE",
        "lung inflammation"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Hargrove 2019 biomass Science Hub data rev2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503946/Hargrove%202019%20biomass%20Science%20Hub%20data%20rev2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GraphPadPrism figures statistics rev.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503946/GraphPadPrism%20figures%20statistics%20rev.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-19",
      "references": [
        "https://doi.org/10.1080/08958378.2019.1654046"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VOC Database and Supporting Data",
      "description": "Continuous PM2.5 and tVOC sensor data paired with coincidental RH and temp measurements. \n\nThis dataset is associated with the following publication:\nClements, A., S. Reece, T. Conner, and R. Williams. Observed Data Quality Concerns Involving Low-Cost Air Sensors.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 3: 100034, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503153",
      "keyword": [
        "low cost sensor",
        "pm2.5",
        "tVOCs"
      ],
      "contactPoint": {
        "fn": "Ronald Williams",
        "hasEmail": "mailto:williams.ronald@epa.gov"
      },
      "distribution": [
        {
          "title": "Short_Communications_VOCDatabase.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503153/Short_Communications_VOCDatabase.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ShortCommunication_SupportingData-PMexample.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503153/ShortCommunication_SupportingData-PMexample.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-24",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2019.100034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Beta-2 adrenergic and glucocorticoid receptor agonists modulate ozone-induced pulmonary protein leakage and inflammation in healthy and adrenalectomized rats",
      "description": "We have previously shown that neuroendocrine activation leading to increased circulating stress hormones was necessary for mediating ozone-induced lung injury and inflammation since adrenalectomy rats were protected from these ozone effects. Because adrenalectomy is invasive and also eliminates circulating mineralocorticoids along with stress hormones, one cannot rule out their contribution in diminution of ozone-induced lung effects. The goal of this study was to evaluate if agonists of stress hormone receptors β2 adrenergic receptors and glucocorticoid receptors were able to restore ozone-induced lung injury, inflammation and innate immune cell trafficking in adrenalectomy rats, and exacerbate these effects in control rats with sham surgery. Here, we reconfirmed that the pulmonary and systemic effects of ozone inhalation, characterized by vascular leakage, neutrophilic inflammation, cytokine release in the lungs and peripheral vascular lymphopenia, were significantly diminished by adrenlectomy. The treatment with a combination of β2 adrenergic receptor and glucocorticoid receptor agonists (Clenbuterol and dexamethasone) was able to restore these ozone effects in AD rats, and further exacerbate ozone-induced lung protein leakage, inflammation and lymphopenia in sham surgery rats. It was also noted that clenbuterol plus dexamethasone itself caused injury and cytokine increases in the lung. Although a variety of β2 adrenergic receptor and glucocorticoid agonists have been widely used for the treatment of chronic lung diseases, β2 adrenergic receptor agonists have been shown to exacerbate lung inflammation in asthmatics and epidemiological studies have indicated exacerbation of lung inflammation in asthmatics during increased air pollution episodes. Even though high concentrations of agonists were used, our study provides a potential causal mechanistic link between activation of stress hormone receptors in mediation of air pollution health effects, and how these effects might be exacerbated in those receiving asthma therapy. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow, M. Schladweiler, C. Miller, J. Dye, A. Ledbetter, J. Richards, M. Hargrove, W. Williams, and U. Kodavanti. Beta-2 adrenergic and glucocorticoid receptor agonists modulate ozone-induced pulmonary protein leakage and inflammation in healthy and adrenalectomized rats.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  166(2): 288-305, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407659",
      "keyword": [
        "Ozone",
        "adrenalectomy",
        "adrenergic receptor agonist",
        "glucocorticoid receptor agonist",
        "neuroendocrine stress axes",
        "broncho dilators",
        "steroids"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez 2017 Manuscript for Tox Sci - Data for ScienceHub - Kodavanti 9 21 17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407659/Henriquez%202017%20Manuscript%20for%20Tox%20Sci%20-%20Data%20for%20ScienceHub%20-%20Kodavanti%209%2021%2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Henriquez et al. -Adrex paper - STICS 1-6-2018.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407659/Henriquez%20et%20al.%20-Adrex%20paper%20-%20STICS%201-6-2018.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-29",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy198"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1407659/documents/Henriquez%20et%20al.%20-Adrex%20paper%20-%20STICS%201-6-2018.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "In vivo dermal absorption of pyrethroid pesticides in the rat",
      "description": "Data includes disposition data of radiolabelled pyrethroids (bifenthrin, deltamethrin, cis-permethrin) following topical application.  One dataset is the disposition of pyrethroid-derived radioactivity 24 hr post-application.  The second dataset is the disposition of pyrethroid-derived radioactivity 120 hr post-application. \n\nThis dataset is associated with the following publication:\nHughes , M., and B. Edwards. In vivo dermal absorption of pyrethroid pesticides in the rat..   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(2): 83-91, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1390109",
      "keyword": [
        "pyrethroids",
        "skin",
        "absorption",
        "in vivo",
        "disposition"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "In vivo dermal absorption of pyrethroid pesticides in the rat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390109/In%20vivo%20dermal%20absorption%20of%20pyrethroid%20pesticides%20in%20the%20rat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-10-06",
      "references": [
        "https://doi.org/10.1080/15287394.2015.1109571"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Campy STICS data",
      "description": "Campy STICS data. \n\nThis dataset is associated with the following publication:\nLye, D., I. Struewing, T. Gruber, K. Oshima, E. Villegas, and J. Lu. A Gallus gallus Model for Determining Infectivity of Zoonotic Campylobacter.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 10: 2292, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503643",
      "keyword": [
        "Campylobacter",
        "colonization",
        "chick model",
        "infectivity",
        "gull",
        "avian"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Campy STICS data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503643/Campy%20STICS%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-06",
      "references": [
        "https://doi.org/10.3389/fmicb.2019.02292"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing cleft palate toxicants using ToxCast data, chemical structure, and the biomedical literature",
      "description": "A data set of 500 chemicals evaluated for their ability to induce cleft palate in animal prenatal developmental studies was compiled from Toxicity Reference Database and the biomedical literature, which included 63 cleft palate active and 437 inactive chemicals. To characterize the potential molecular targets for chemical‐induced cleft palate, we mined the ToxCast high‐throughput screening database for patterns and linkages in bioactivity profiles and chemical structural descriptors. The following datasets can be obtained via the links and files in the Data section: Phase II ToxCast assay data results (Judson et al., 2010); The Gene Score data set derived from ToxCast; ToxRefDB version 1 (Knudsen et al., 2009; Martin, Judson, et al., 2009); The ToxPrint chemotypes (Yang et al., 2015). \n\nThis dataset is associated with the following publication:\nBaker, N., N. Sipes, J. Franzosa, D. Belair, B. Abbott, R. Judson, and T. Knudsen. Characterizing cleft palate toxicants using ToxCast data, chemical structure, and the biomedical literature.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA,  1-21, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504179",
      "keyword": [
        "adverse outcome pathway",
        "cleft palate",
        "Developmental Toxicity",
        "genes",
        "machine learning",
        "ToxCast",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "accessURL": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/comptox/High_Throughput_Screening_Data/Animal_Tox_Data/",
          "accessURL": "https://gaftp.epa.gov/comptox/High_Throughput_Screening_Data/Animal_Tox_Data/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://toxprint.org",
          "accessURL": "https://toxprint.org",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "bdr21581-sup-0001-appendixs1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504179/bdr21581-sup-0001-appendixs1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-07",
      "references": [
        "https://doi.org/10.1002/bdr2.1581"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Limited chemical structural diversity found to modulate thyroid hormone receptor in the Tox21 chemical library",
      "description": "The Tox21 chemical library (8,305 unique structures) was screened in a quantitative high-throughput, cell-based reporter gene assay for TR agonist or antagonist activity. Active compounds were further characterized using additional orthogonal assays, including mammalian one-hybrid assays, coactivator recruitment assays, and a high-throughput, fluorescent imaging, nuclear receptor translocation assay.  Results for the library are available at https://tripod.nih.gov/tox21/samples. \n\nThis dataset is associated with the following publication:\nPaul-Friedman, K., M. Martin, K. Crofton, C. Hsu, S. Sakamuru, J. Zhao, M. Xia, R. Huang, D. Stevreva, V. Soni, L. Varticovski, R. Raziuddin, G. Hager, and K. Houck. Limited chemical structural diversity found to modulate thyroid hormone receptor in the Tox21 chemical library.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 127(9): 1-16, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503082",
      "keyword": [
        "Tox21",
        "thyroid hormone receptors",
        "endocrine disruption",
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementalTables_clearance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503082/SupplementalTables_clearance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-05",
      "references": [
        "https://doi.org/10.1289/ehp5314"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data_averages_6-24-15_ESS_PEM_PFO_3_good_months",
      "description": "Summary of all field data collected for wetlands denitrification project in Tampa Bay Watershed including denitrification enzyme activity potential rates, soil and pore water characteristics, and land use/cover percentages in upstream drainage basins.  DEA are averages for 3 different months where we had valid DEA incubations while soil and water are from single date. \n\nThis dataset is associated with the following publication:\nRussell, M., R. Fulford, K. Murphy, C. Lane, J. Harvey, D. Dantin, F. Alvarez, J. Nestlerode, A. Teague, M. Harwell, and A. Almario. Relative importance of landscape versus local wetland characteristics for estimating wetland denitrification potential.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 39(1): 127-137, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407609",
      "keyword": [
        "Denitrification enzyme activity",
        "denitrification",
        "ecosystem services",
        "Tampa Bay",
        "communities",
        "Ecological production functions",
        "Coastal Wetlands",
        "land use"
      ],
      "contactPoint": {
        "fn": "Marc Russell",
        "hasEmail": "mailto:russell.marc@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_averages_6-24-15_ESS_PEM_PFO_3_good_months.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407609/Data_averages_6-24-15_ESS_PEM_PFO_3_good_months.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-06-26",
      "references": [
        "https://doi.org/10.1007/s13157-018-1078-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Inventory of Phosphorus (v1, 8.30.19)",
      "description": "This is a project assessing the state of major input and outputs of reactive nitrogen (Nr) and phosphorus across the coterminous US at the HUC 8 scale for three snapshots of time (2002, 2007, and 2012). ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504278",
      "keyword": [
        "phosphorus",
        "fertilizer P",
        "stream water quality",
        "Agriculture",
        "nonpoint source pollution",
        "Point source"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Master_Inventory_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504278/Master_Inventory_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Master_Inventory_Final_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504278/Master_Inventory_Final_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "North Carolina Blood Lead and Education Data",
      "description": "The Children's Environmental Health Initiative (CEHI) at Rice University provided access to blood lead data from the North Carolina Childhood Lead Poisoning Prevention Program surveillance registry; data on end-of-grade standardized achievement tests in reading and mathematics from the North Carolina Education Research Data Center (NCERDC); and birth certificate data from the North Carolina Department of Health and Human Services. Test score, blood lead, and birth certificate data were linked using a common child identifier created by CEHI for matching purposes. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The data was made available by the Children's Environmental Health Initiative (CEHI) at Rice University. Contact Claire Osgood (ceo1@rice.edu), CEHI's Data Manager, to learn how the data can be accessed. Format: The Children's Environmental Health Initiative (CEHI) at Rice University provided access to blood lead data from the North Carolina Childhood Lead Poisoning Prevention Program surveillance registry; data on end-of-grade standardized achievement tests in reading and mathematics from the North Carolina Education Research Data Center (NCERDC); and birth certificate data from the North Carolina Department of Health and Human Services. Test score, blood lead, and birth certificate data were linked using a common child identifier created by CEHI for matching purposes. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506023",
      "keyword": [
        "blood lead",
        "school children",
        "education",
        "cognitive development"
      ],
      "contactPoint": {
        "fn": "Heather Klemick",
        "hasEmail": "mailto:klemick.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2019-07-11",
      "references": [
        "https://dx.doi.org/10.1016/j.envres.2019.108643"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data for Adaptation, Sea Level Rise, and Property Prices in the Chesapeake Bay Watershed",
      "description": "Property characteristics and parcel boundaries, shoreline features, and sea level rise inundation vulnerability for the state of Maryland. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Data on property attributes and parcel boundaries from MdProperty View can be accessed at https://planning.maryland.gov/Pages/OurProducts/PropertyMapProducts/MDPropertyViewProducts.aspx \n\nData on shoreline features for Anne Arundel County can be accessed at http://ccrm.vims.edu/gis_data_maps/shoreline_inventories/maryland/anne_arundel/annearundel_disclaimer.html\n\nData on sea level rise inundation vulnerability for Maryland coastal counties can be accessed at https://imap.maryland.gov/ServicesMetadata/ClimMetAtm/SeaLevelRiseVul/ELEV_2FootInundation_CGIS.htm. Format: Property sales and attribute data were obtained from MdProperty View and include numeric data as well as georeferenced parcel data.\n\nGeoreferenced data on shoreline features, including adaptation structures, come from a joint program between the Virginia Institute of Marine Science, the Maryland Department of Natural Resources, and the National Oceanic and Atmospheric Agency (NOAA).\n\nGeoreferenced sea level rise inundation vulnerability data were produced in a joint project between NOAA, the Maryland Commission on Climate Change, and Towson University. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506083",
      "keyword": [
        "sea level rise",
        "climate adaptation",
        "hedonic analysis"
      ],
      "contactPoint": {
        "fn": "Heather Klemick",
        "hasEmail": "mailto:klemick.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2018-04-03",
      "references": [
        "https://dx.doi.org/10.3368/le.95.1.19"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Analysis of proportional data in reproductive and developmental toxicity studies: comparison of logit transformation, arcsine square root transformation, and nonparametric analysis",
      "description": "We conducted power calculations to compare different approaches (nonparametric, arcsine square root-transformed, logit-transformed, untransformed) for analyzing litter-based proportional data.  A reproductive toxicity study with a control and one treated group provided data for two endpoints: prenatal loss, and fertility by in utero insemination (IUI).  Type I error and power were estimated by 10,000 simulations based on two-sample one-tailed t-tests with varying numbers of litters per group.  To further compare the different approaches, we conducted additional analyses with the mean proportions shifted toward zero  to produce illustrative scenarios.  Analyses based on logit-transformed proportions had greater power than those based on untransformed or arcsine square root-transformed proportions, or nonparametric procedures.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503388",
      "keyword": [
        "statistical power",
        "proportional data",
        "logit transformation",
        "arcsine square root transformation",
        "Developmental Toxicity"
      ],
      "contactPoint": {
        "fn": "Michael Narotsky",
        "hasEmail": "mailto:narotsky.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "PowerManuscriptTableFigureData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503388/PowerManuscriptTableFigureData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "4-Acetoxyphenol as a substrate for acetylcholinesterase-based sensor and its application for As(III) determination",
      "description": "The supplementary data is used to support the interpretation of electrochemical reaction at the interface of working electrode, and reaction features of the immobilized enzyme. The formula for modeling the kinetics of immobilized enzyme was also given in the supplementary material. \n\nThis dataset is associated with the following publication:\nLi, T., E. Sahle-Demessie, E. Varughese, and J. Berberich. A disposable acetylcholine esterase sensor for As(iii) determination in groundwater matrix based on 4-acetoxyphenol hydrolysis.   Analytical Methods. RSC Publishing, Cambridge,  UK, 11(40): 5203-5213, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1435424",
      "keyword": [
        "cyclic voltametry",
        "Voltammogram of hydroquinone",
        "reversible first order reaction kinetics",
        "Enzyme activity",
        "biosensor",
        "real time analysis",
        "contaminant",
        "amperometric assay"
      ],
      "contactPoint": {
        "fn": "Tao Li",
        "hasEmail": "mailto:li.tao@epa.gov"
      },
      "distribution": [
        {
          "title": "Draft for AchE sensor.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435424/Draft%20for%20AchE%20sensor.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary material.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435424/Supplementary%20material.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1039/c9ay01199d"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Part III. Scale-up Testing and Assessment of Selected Potential Operational Issues",
      "description": "This study evaluated reuse of lime softening sludge, generated from drinking water treatment utilities, as an environmental sorbent for capturing SO2 and heavy metals in wet scrubbers of coal-fired power plants. Specifically, Part III evaluated viscosity and metal corrosion as practical issues in the transition from limestone to lime sludge at power plants. Results of Marsh funnel viscosity experiments conducted at different solids contents and temperatures indicated the limestone and lime sludge slurries and their gypsum counterparts had similar flow characteristics. Carbon-steel, stainless-steel, and Hastelloy coupons were tested for corrosion by lime sludge and limestone slurries. Both stainless steel and Hastelloy were resistive to corrosion in slurries made from lime sludge or limestone samples or their gypsum counterparts. A considerable but similar amount of corrosion was observed for carbon-steel coupons exposed to lime sludge and limestone slurries. Adding 5000 ppm of Cl to slurries considerably increased the corrosion rate of carbon steel. \n\nThis dataset is associated with the following publication:\nDastgheib, S., J. Mock, H. Salih, and C. Patterson. Utilization of Water Utility Lime Sludge for Flue Gas Desulfurization in Coal-Fired Power Plants: \nPart III. Testing at a Higher Scale and Assessment of Selected Potential Operational Issues.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA, 33(11): 11536-11543, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504281",
      "keyword": [
        "corrosion",
        "viscosity",
        "Flue Gas Desulfurization",
        "limestone",
        "lime sludge",
        "life cycle assessment",
        "environmental impact assessment",
        "mercury re-emission"
      ],
      "contactPoint": {
        "fn": "Craig Patterson",
        "hasEmail": "mailto:patterson.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "Data of Tables and Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504281/Data%20of%20Tables%20and%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-11",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.9b03132"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2017 NAIS Work Order 7060851",
      "description": "This data is in the form of a CSV file provided by the U.S. Coast Guard from their NAIS dataset.\nthe request period was: 01/01/2017-06/30/2017\nthe upper right bound of the data set is: 38.242°N,  −116.796°W\nthe lower left bound of the data set is 32.6703°N, −128.296°W\nThe data was delivered in 5 minute intervals\nThe fields contained in the data set are:\nMSG_TYPE,MMSI,NAME,PERIOD,LAT_AVG,LON_AVG,COG_DEG,SPEED_KNOTS,HEADING_DEG,IMO_NUMBER,CALL_SIGN,SHIP_AND_CARGO_TYPE,NAV_SENSOR,DRAUGHT,MMSI_COUNTRY_CD,DIM_BOW,DIM_STERN,DIM_STARBOARD,DIM_PORT,RECEIVER. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Directions for requesting this data from the U.S. Coast Guard can be found at:\nhttps://www.navcen.uscg.gov/?pageName=AISdisclaimer. Format: This data is in the form of a CSV file provided by the U.S. Coast Guard from their NAIS dataset.\nthe request period was: 01/01/2017-06/30/2017\nthe upper right bound of the data set is: 38.242°N,  −116.796°W\nthe lower left bound of the data set is 32.6703°N, −128.296°W\nThe data was delivered in 5 minute intervals\nThe fields contained in the data set are:\nMSG_TYPE,MMSI,NAME,PERIOD,LAT_AVG,LON_AVG,COG_DEG,SPEED_KNOTS,HEADING_DEG,IMO_NUMBER,CALL_SIGN,SHIP_AND_CARGO_TYPE,NAV_SENSOR,DRAUGHT,MMSI_COUNTRY_CD,DIM_BOW,DIM_STERN,DIM_STARBOARD,DIM_PORT,RECEIVER. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504191",
      "keyword": [
        "AIS"
      ],
      "contactPoint": {
        "fn": "Michael Aldridge",
        "hasEmail": "mailto:aldridge.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-25",
      "references": [
        "https://dx.doi.org/10.1080/10962247.2019.1580229"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "IHS Sea-web Ship Details and Technical Specifications",
      "description": "This data is a CSV file containeing ship technical details from IHS Sea-web. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: The vessel details in this dataset can be accessed via a subscription to IHS Sea-web:\nhttps://maritime.ihs.com/EntitlementPortal/Home/Index. Format: This data set was compiled as a CSV file. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504192",
      "keyword": [
        "Commercial Marine Vessels"
      ],
      "contactPoint": {
        "fn": "Michael Aldridge",
        "hasEmail": "mailto:aldridge.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2014-05-29",
      "references": [
        "https://dx.doi.org/10.1080/10962247.2019.1580229"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Ship Power Model Summary Data",
      "description": "The dataset is contained in a .zip file containing the two .csv files with data, and a data dictionary file. \nsummedEmissionsSpeeds contains emissions estimates summed over several different modeling parameters, DwtSubtypes gives the mapping of shipType, and subtypes, to deadweight tonnage ranges as used in the linked publication. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504194",
      "keyword": [
        "Marine Emissions"
      ],
      "contactPoint": {
        "fn": "Michael Aldridge",
        "hasEmail": "mailto:aldridge.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "MarineEmissionsSummaries.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504194/MarineEmissionsSummaries.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://dx.doi.org/10.1080/10962247.2019.1580229"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HTTK: R Package for High-Throughput Toxicokinetics",
      "description": "Functions and data tables for simulation and statistical analysis of chemical toxicokinetics (\"TK\") as in Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based (\"PBTK\") and empirical (e.g., one compartment) \"TK\" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. \n\nThis dataset is associated with the following publication:\nPearce , R., C. Strope , W. Setzer , N. Sipes , and J. Wambaugh. (Journal of Statistical Software) HTTK: R Package for High-Throughput Toxicokinetics.   Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 79(4): 1-26, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504255",
      "keyword": [
        "ToxCast",
        "high-throughput",
        "pharmacokinetics",
        "httk",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-17",
      "references": [
        "https://doi.org/10.18637/jss.v079.i04"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Method 200.8: Plus 2 paper",
      "description": "Method 200.8: Plus 2 paper. \n\nThis dataset is associated with the following publication:\nSmith, S., N. Hanks, P. Creed, K. Kovalcik, R. Wilson, K. Kubachka, J. Brisbin, J. Landero Figueroa, and J. Creed. Analytical considerations associated with implementing M2+ correction factors to address false positives on As and Se within U.S. EPA method 200.8.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. Royal Society of Chemistry, Cambridge,  UK, 34(10): 2094-2104, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503162",
      "keyword": [
        "Method 200.8",
        "Rare Earth Elements",
        "ICP-MS",
        "False Positives",
        "M+2",
        "Polyatomic"
      ],
      "contactPoint": {
        "fn": "John Creed",
        "hasEmail": "mailto:creed.jack@epa.gov"
      },
      "distribution": [
        {
          "title": "Correction Factors applied to standard solutions  Fig 5 Table 1&2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Correction%20Factors%20applied%20to%20standard%20solutions%20%20Fig%205%20Table%201%262.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "150-143 ratio and changing factor Fig 6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/150-143%20ratio%20and%20changing%20factor%20Fig%206.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3-7-2018 Correction factors applied to standard table  Fig 5 Table 1&2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/3-7-2018%20Correction%20factors%20applied%20to%20standard%20table%20%20Fig%205%20Table%201%262.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 3B & S1 Effect of Tune.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Fig%203B%20%26%20S1%20Effect%20of%20Tune.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2-8-17 Correlating narrow & Std mode_Gd&Sm & Nd Ba Ho Fig 5 Table 1&2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/2-8-17%20Correlating%20narrow%20%26%20Std%20mode_Gd%26Sm%20%26%20Nd%20Ba%20Ho%20Fig%205%20Table%201%262.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 2 - Illustration of problem.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Fig%202%20-%20Illustration%20of%20problem.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 4 - Unit vs half mass and narrow vs standard resolution.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Fig%204%20-%20Unit%20vs%20half%20mass%20and%20narrow%20vs%20standard%20resolution.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig S2A Estimating M2  Correction Factor.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Fig%20S2A%20Estimating%20M2%20%20Correction%20Factor.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig S2B - 7-19-16 abundance sensitivity data 2.5 mL He.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Fig%20S2B%20-%207-19-16%20abundance%20sensitivity%20data%202.5%20mL%20He.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Regional Waters Half Mass Correction for Table 1 & 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503162/Regional%20Waters%20Half%20Mass%20Correction%20for%20Table%201%20%26%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-07",
      "references": [
        "https://doi.org/10.1039/c9ja00086k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fruit and Vegetable Data",
      "description": "Pyrethroid metabolite concentration data for fruits and vegetables. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact PI. Format: List of pyrethroids and pyrethroid degradation. \n\nThis dataset is associated with the following publication:\nLi, W., M. Morgan, S. Graham, and J. Starr. Measurement of pyrethroids and their environmental degradation products in fresh fruits and vegetables using a modification of the quick easy cheap effective rugged safe (QuEChERS) method.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 151: 42-50, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1506062",
      "keyword": [
        "QuEChERS method",
        "pyrethroids",
        "Environmental degradates",
        "Solid phase extraction",
        "MDLs/MQLs",
        "LC-MS/MS"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [],
      "modified": "2015-08-22",
      "references": [
        "https://doi.org/10.1016/j.talanta.2016.01.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Abstract Sifter: a comprehensive front-end system to PubMed ",
      "description": "The Abstract Sifter is a Microsoft Excel based application that enhances existing search capabilities of PubMed. The Abstract Sifter assists researchers to search effectively, triage results, and keep track of articles of interest. The tool implements an innovative “sifter” functionality for relevance ranking, giving the researcher a way to find articles of interest quickly. The tool also gives researchers a view of the literature landscape for a set of entities such as chemicals or genes. The Abstract Sifter is available as a Microsoft Excel macro-enabled workbook application. \n\nThis dataset is associated with the following publication:\nBaker, N., T. Knudsen, and A. Williams. Abstract Sifter: a comprehensive front-end system to PubMed (F1000 Research).   F1000 Research. Faculty of 1000, London,  UK, 6: 1-10, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504291",
      "keyword": [
        "PubMed",
        "document retrieval",
        "Microsoft Excel",
        "Visual Basic for Applications",
        "chemistry",
        "toxicology",
        "biology",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/Chemistry_Dashboard/Abstract_Sifter/AbstractSifter.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/Sustainable_Chemistry_Data/Chemistry_Dashboard/Abstract_Sifter/AbstractSifter.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-21",
      "references": [
        "https://doi.org/10.12688/f1000research.12865.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The CompTox Chemistry Dashboard: a community data resource for environmental chemistry",
      "description": "The contents of the chemistry database, presently containing ~ 760,000 substances, are available as public domain data for download. The chemistry content underpinning the Dashboard has been aggregated over the past 15 years by both manual and auto-curation techniques within EPA’s DSSTox project.These data include physicochemical, environmental fate and transport, exposure, usage, in vivo toxicity, and in vitro bioassay data, surfaced through an integration hub with link-outs to additional EPA data and public domain online resources. \n\nThis dataset is associated with the following publication:\nWilliams, A., C. Grulke, J. Edwards, A. McEachran, K. Mansouri, N. Baker, G. Patlewicz, I. Shah, J. Wambaugh, R. Judson, and A. Richard. (Journal of Cheminformatics) The CompTox Chemistry Dashboard - A Community Data Resource for Environmental Chemistry.   Journal of Cheminformatics. Springer, New York, NY, USA, 9(61): 1-27, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504292",
      "keyword": [
        "Environmental chemistry",
        "computational toxicology",
        "Toxicity data",
        "non-targeted analysis",
        "ToxCast",
        "ToxRefDB",
        "EDSP21",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://comptox.epa.gov/dashboard/downloads",
          "accessURL": "https://comptox.epa.gov/dashboard/downloads",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-28",
      "references": [
        "https://doi.org/10.1186/s13321-017-0247-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bisphenol A activates EGFR and ERK promoting proliferation, tumor spheroid formation and resistance to EGFR pathway inhibition in estrogen receptor-negative inflammatory breast cancer cells",
      "description": "Raw data and figures for Bisphenol A activates EGFR and ERK promoting proliferation, tumor spheroid formation and resistance to EGFR pathway inhibition in estrogen receptor-negative inflammatory breast cancer cells manuscript. \n\nThis dataset is associated with the following publication:\nSauer, S.J., M. Tarpley, I. Shah , A.V. Save, H.K. Lyerly, S.R. Patierno, K.P. Williams, and G.R. Devi. (Carcinogenesis) Bisphenol A activates EGFR and ERK promoting proliferation, tumor spheroid formation and resistance to EGFR pathway inhibition in estrogen receptornegative inflammatory breast cancer cells.   CARCINOGENESIS. Oxford University Press, Cary, NC, USA, 38(3): 252–260, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504293",
      "keyword": [
        "BPA",
        "estrogen receptor",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/ShahImran/BPA_breast_cancer/Figure_Raw_Data.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/ShahImran/BPA_breast_cancer/Figure_Raw_Data.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-25",
      "references": [
        "https://doi.org/10.1093/carcin/bgx003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "phase 2/3 oil agent ecotox sci hub data files",
      "description": "The data set consists of ecotoxicity values for crude oils and spill response agents. \n\nThis dataset is associated with the following publications:\nConmy, R., M. Barron, D. Sundaravadivelu, R. Groser, R. Venkatapathy, A. Burkes, and E. Holder. SCREENING OF POTENTIAL REFERENCE OILS FOR THE NATIONAL CONTINGENCY PLAN PRODUCT SCHEUDLE. U.S. Environmental Protection Agency, Washington, DC, USA, 2019.\nBarron, M., A. Bejarano, R. Conmy, D. Sundaravadivelu, and P. Meyer. Toxicity of oil spill response agents and crude oils to five aquatic test species.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 153(110954): 110954, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504211",
      "keyword": [
        "Acute Toxicity"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "oil and agent toxicity data for sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504211/oil%20and%20agent%20toxicity%20data%20for%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-19",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2020.110954"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning",
      "description": "QSAR Model Reporting Formats. Examples of R code: feature selection and regression analysis. Figure S1: Data distribution of logBCF, BP, MP and logVP. Figures S2–S5: Relationship between model complexity and prediction errors as well as the plots of estimated values versus experimental data for logBCF, BP, MP, and logVP, respectively. Figure S6: Plots of leverage versus standardized residuals for logBCF, BP, MP, and logVP models. Table S1: Chemical product classes for training and test sets. Tables S2–S5: Regression statistics for logBCF, BP, MP, and logVP, respectively. Table S6: Applicability domains for logBCF, BP, MP, and logVP. Tables S7–S12: Chemicals with large prediction residuals for the six properties (PDF)\n\nChemical names, CAS registry number and SMILES as well as experimentally measured and estimated property values of the training and test sets (XLSX). \n\nThis dataset is associated with the following publication:\nZang, Q., K. Mansouri, A. Williams, R. Judson, D. Allen, W.M. Casey, and N.C. Kleinstreuer. (Journal of Chemical Information and Modeling) In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 57(1): 36-49, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504459",
      "keyword": [
        "in silico",
        "machine learning",
        "environmental chemicals",
        "physicochemical properties",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/abs/10.1021%2Facs.jcim.6b00625",
          "accessURL": "https://pubs.acs.org/doi/abs/10.1021%2Facs.jcim.6b00625",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-22",
      "references": [
        "https://doi.org/10.1021/acs.jcim.6b00625"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predictive Structure-Based Toxicology Approaches To Assess the Androgenic Potential of Chemicals",
      "description": "Chemical structures, RMSD values, docking scores, additional tables and figures, and methodological details (PDF)\nAdditional information concerning the starting data set, EPA-ARDB.csv (CSV)\nAdditional information concerning V1, V1_SI.csv (CSV)\nAdditional information concerning V2, V2_SI.csv (CSV)\nAdditional information concerning V3, V3_SI.csv (CSV). \n\nThis dataset is associated with the following publication:\nTrisciuzzi, D., D. Alberga, K. Mansouri, R. Judson, E. Novellino, G.F. Mangiatordi, and O. Nicolotti. Predictive structure-based toxicology approaches to assess the androgenic potential of chemicals.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 57(11): 2874-2884, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504460",
      "keyword": [
        "in silico",
        "CoMPARA",
        "Androgen receptor",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1021/acs.jcim.7b00420",
          "accessURL": "https://doi.org/10.1021/acs.jcim.7b00420",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-12",
      "references": [
        "https://doi.org/10.1021/acs.jcim.7b00420"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics",
      "description": "The U.S. Tox21 Federal collaboration, which currently quantifies the biological effects of nearly 10,000 chemicals via quantitative high-throughput screening(qHTS) in in vitro model systems, is now making an effort to incorporate gene expression profiling into the existing battery of assays. Whole transcriptome analyses performed on large numbers of samples using microarrays or RNA-Seq is currently cost-prohibitive. Accordingly, the Tox21 Program is pursuing a high-throughput transcriptomics (HTT) method that focuses on the targeted detection of gene expression for a carefully selected subset of the transcriptome that potentially can reduce the cost by a factor of 10-fold, allowing for the analysis of larger numbers of samples. To identify the optimal transcriptome subset, genes were sought that are (1) representative of the highly diverse biological space, (2) capable of serving as a proxy for expression changes in unmeasured genes, and (3) sufficient to provide coverage of well described biological pathways. A hybrid method for gene selection is presented herein that combines data-driven and knowledge-driven concepts into one cohesive method. \n\nThis dataset is associated with the following publication:\nMav, D., R.R. Shah, B.E. Howard, S.S. Auerbach, P.R. Bushel, J.B. Collins, D.L. Gerhold, R. Judson, A.L. Karmaus, E.A. Maull, D.L. Mendrick, B.A. Merrick, N.S. Sipes, D. Svoboda, and R.S. Paules. A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(2): 1-17, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504520",
      "keyword": [
        "gene expression",
        "microarray",
        "extrapolation",
        "toxicology",
        "Predictive Toxicology",
        "Transcriptome analysis",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1371/journal.pone.0191105",
          "accessURL": "https://doi.org/10.1371/journal.pone.0191105",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-20",
      "references": [
        "https://doi.org/10.1371/journal.pone.0191105"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing bioactivity-exposure profiles of fruit and vegetable extracts in the BioMAP profiling system",
      "description": "The ToxCast program has generated in vitro screening data on over a thousand chemicals to assess potential disruption of important biological processes and assist in hazard identification and chemical testing prioritization. Few results have been reported for complex mixtures. To extend these ToxCast efforts to mixtures, we tested extracts from 30 organically grown fruits and vegetables in concentration-response in the BioMAP® assays. BioMAP systems use human primary cells primed with endogenous pathway activators to identify phenotypic perturbations related to proliferation, inflammation, immunomodulation, and tissue remodeling. \n\nThis dataset is associated with the following publication:\nWetmore, B., R. Clewell, B. Cholewa, B. Parks, S. Pendse, M. Black, K. Mansouri, S. Haider, E. Berg, R. Judson, K. Houck, M. Martin, H. Clewell III, M. Andersen, R. Thomas, and P. McMullen. Assessing Bioactivity-Exposure Profiles of Fruits and Vegetables in the BioMAP Profiling System.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 54: 41-57, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504521",
      "keyword": [
        "ToxCast",
        "high-throughput",
        "bioactivity",
        "Natural products",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.tiv.2018.09.006",
          "accessURL": "https://doi.org/10.1016/j.tiv.2018.09.006",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-19",
      "references": [
        "https://doi.org/10.1016/j.tiv.2018.09.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NMReDATA, a standard to report the NMR assignment and parameters of organic compounds",
      "description": "Data S1. Example of NMReDATA.sdf file including NMReDATA for benzo[a]pyrene\n\nData S2. Pure text translation of the NMReDATA.sdf of benzo[a]pyrene. \n\nThis dataset is associated with the following publication:\nPupier, M., J. Nuzillard, J. Wist, N.E. Schlörer, S. Kuhn, M. Erdelyi, C. Steinbeck, A. Williams, C. Butts, T.D.W. Claridge, B. Mikhova, W. Robien, H. Dashti, H.R. Eghbalnia, C. Farès, C. Adam, P. Kessler, F. Moriaud, M. Elyashberg, D. Argyropoulos, M. Pérez, P. Giraudeau, R.R. Gil, P. Trevorrow, and D. Jeannerat. NMReDATA, a standard to report the NMR assignment and parameters of organic compounds.   Magnetic Resonance in Chemistry. John Wiley & Sons, Inc., Hoboken, NJ, USA, 56(8): 703-715, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504523",
      "keyword": [
        "Automated Structure Verification",
        "NMReData",
        "NMR record",
        "data format",
        "database",
        "extracted data",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1002/mrc.4737",
          "accessURL": "https://doi.org/10.1002/mrc.4737",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-14",
      "references": [
        "https://doi.org/10.1002/mrc.4737"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identification of vascular disruptor compounds by analysis in zebrafish embryos and mouse embryonic endothelial cells",
      "description": "In zebrafish, 161 compounds were screened and 34 were identified by visual inspection as VDCs, of which 28 were confirmed as VDCs by quantitative image analysis. Testing of the zebrafish VDCs for their capacity to inhibit endothelial tube formation in the murine yolk-sac-derived endothelial cell line C166 identified 22 compounds that both disrupted zebrafish vascular development and murine endothelial in vitro tubulogenesis. \n\nThis dataset is associated with the following publication:\nMcCollum, C., J. Conde Vancells, C. Hans, M. Vazquez-Chantada, N. Kleinstreuer, T. Tal , T. Knudsen, S. Shah, F. Merchant, R. Finnell, J. Gustafsson, R. Cabrera, and M. Bondesson. (Reproductive Toxicology) Identification of vascular disruptor compounds by a tiered analysis in zebrafish embryos and mouse embryonic endothelial cells.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 60-69, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504524",
      "keyword": [
        "zebrafish",
        "Mouse endothelial cells",
        "angiogenesis",
        "Vascular disruptor compounds",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.reprotox.2016.11.005",
          "accessURL": "https://doi.org/10.1016/j.reprotox.2016.11.005",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-16",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2016.11.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non‐animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated?",
      "description": "Appendix Skin sensitization data and non‐animal test data for 271 chemicals. \n\nThis dataset is associated with the following publication:\nRoberts, D., and G. Patlewicz. Non‐animal assessment of skin sensitization hazard: Is an integrated testing strategy needed, and if so what should be integrated?.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 38(1): 41-50, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504548",
      "keyword": [
        "skin sensitization",
        "integrated approaches to testing and assessment (IATA)",
        "LLNA",
        "direct peptide reactivity assay",
        "keratinoSens",
        "human cell line activation test",
        "quantitative mechanistic models",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1002/jat.3479",
          "accessURL": "https://doi.org/10.1002/jat.3479",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-24",
      "references": [
        "https://doi.org/10.1002/jat.3479"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Weaver's historic accessible collection of synthetic dyes: a cheminformatics analysis",
      "description": "This is a subset of 150 chemical dyes that are housed in the Max Weaver Dye Library at North Carolina State University\nHISTORY. \n\nThis dataset is associated with the following publication:\nKuenemann, M., M. Szymczyk, Y. Chen, N. Sultana, D. Hinks, H. Freeman, A. Williams, D. Fourches, and N. Vinueza. Weaver’s Historic Accessible Collection of Synthetic Dyes: A Cheminformatics Analysis.   Chemical Science. RSC Publishing, Cambridge,  UK, issue}: 4334-4339, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504550",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.6084/m9.figshare.4590250",
          "accessURL": "https://doi.org/10.6084/m9.figshare.4590250",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-07",
      "references": [
        "https://doi.org/10.1039/c7sc00567a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Toxicology) Identifying Environmental Chemicals as Agonists of the Androgen Receptor by Applying a Quantitative High-throughput Screening Platform",
      "description": "The paper has data generated by NIH and the EPA coauthors provided input into the preparation of the manuscript. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: Data generated by NIH. Format: N/A. \n\nThis dataset is associated with the following publication:\nLynch, C., S. Sakamuru, R. Huang, D.A. Stavea, L. Varticovski, G.L. Hagar, R.S. Judson, K.A. Houck, N.C. Kleinstreuer, W. Casey, R.S. Paules, A. Simeonov, and M. Xia. (Toxicology) Identifying Environmental Chemicals as Agonists of the Androgen Receptor by Applying a Quantitative High-throughput Screening Platform.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 385: 48-58, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504595",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-15",
      "references": [
        "https://doi.org/10.1016/j.tox.2017.05.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comprehensive analyses and prioritization of Tox21 10K chemicals affecting mitochondrial function by in-depth mechanistic studies",
      "description": "All data is generated outside of EPA by NCATS, NIH. EPA coauthors assisted with writing the manuscript. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: Data generated by NIH. Format: N/A. \n\nThis dataset is associated with the following publication:\nXia, M., R. Huang, Q. Shi, W. Boyd, J. Zhao, N. Sun, J.R. Rice, P.E. Dunlap, A.J. Hackstadt, M.F. Bridge, M.V. Smith, S. Dai, W. Zheng, P. Chu, D. Gerhold, K.L. Witt, M. DeVito, J.H. Freeman, C.P. Austin, K. Houck, R. Thomas, R.S. Paules, R.B. Tice, and A. Simeonov. Comprehensive analyses and prioritization of Tox21 10K chemicals affecting mitochondrial function by in-depth mechanistic studies.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 126(7): 1-16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504602",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2018-07-26",
      "references": [
        "https://doi.org/10.1289/ehp2589"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Confirmation of High-Throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays",
      "description": "All data is generated by the external authors or taken from public data sources. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: All data is generated by the external authors or taken from public data sources. Format: N/A. \n\nThis dataset is associated with the following publication:\nMahapatra, D., J.A. Franzosa, K. Roell, M.A. Kuenemann, K.A. Houck, D.M. Reif, D. Fourches, and S.W. Kullman. Confirmation of High-Throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays.   Scientific Reports. Nature Publishing Group, London,  UK, 8(8883): 1-16, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504603",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2018-06-11",
      "references": [
        "https://doi.org/10.1038/s41598-018-27055-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Crit. Rev. Tox.) Comparison of rat and rabbit embryo-fetal developmental toxicity data for 379 pharmaceuticals: on the nature and severity of developmental effects",
      "description": "This paper uses EPA public data to build new datasets and analysis by non-EPA authors. This dataset is not publicly accessible because: Data was not collected in EPA labs or paid for by EPA. It can be accessed through the following means: This paper uses EPA public data to build new datasets and analysis by non-EPA authors. Format: N/A. \n\nThis dataset is associated with the following publication:\nTheunissen, P., S. Beken, B. Beyer, W. Breslin, G. Cappon, C. Chen, G. Chmielewski, L. De Schaepdrijver, B. Enright, J. Foreman, W. Harrouk, K. Hew, A. Hoberman, J. Hui, T. Knudsen , S. Laffan, S. Makris , M. Martin , M. McNerney, C. Siezen, D. Stanislaus, J. Stewart, K. Thompson, B. Tornesi, G. Weinbauer, S. Wood, J. Van der Laan, and A. Piersma. (Crit. Rev. Tox.) Comparison of rat and rabbit embryo-fetal developmental toxicity data for 379 pharmaceuticals: on the nature and severity of developmental effects.   CRITICAL REVIEWS IN TOXICOLOGY. CRC Press LLC, Boca Raton, FL, USA,  1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504604",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2016-10-19",
      "references": [
        "https://doi.org/10.1080/10408444.2016.1224807"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Crit. Rev. Tox.) Comparing rat and rabbit embryo-fetal developmental toxicity studies for 379 pharmaceuticals: On systemic dose and developmental effects",
      "description": "A database of embryo-fetal developmental toxicity (EFDT) studies of 379 pharmaceutical compounds in rat and rabbit. This dataset is not publicly accessible because: this paper uses EPA public data to build new datasets and analysis by non-EPA authors. It can be accessed through the following means: EPA data is publicly accessible. Format: N/A. \n\nThis dataset is associated with the following publication:\nTheunissen, P., S. Beken, B. Beyer, W. Breslin, G.D. Cappon, C. Chen, G. Chmielewski, L. De Schaepdrijver, B. Enright, J. Foreman, W. Harrouk, K. Hew, A. Hoberman, J. Hui, T. Knudsen , S. Laffan, S. Makris , and M. Martin. (Crit. Rev. Tox.) Comparing rat and rabbit embryo-fetal developmental toxicity studies for 379 pharmaceuticals: On systemic dose and developmental effects.   CRITICAL REVIEWS IN TOXICOLOGY. CRC Press LLC, Boca Raton, FL, USA,  1-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1505446",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-21",
      "references": [
        "https://doi.org/10.1080/10408444.2016.1224808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion",
      "description": "Paper studying synthetic hydrogels as an alternative to matrigel. This dataset is not publicly accessible because: Research data consisted of secondary data only. It can be accessed through the following means: EPA's ToxCast Library. Format: N/A. \n\nThis dataset is associated with the following publication:\nNguyen, E., W. Daly, N.N.T. Le, M. Farnoodian, D. Belair, M. Schwartz, C. Lebakken, G. Ananiev, M. Saghiri, T. Knudsen, N. Sheibani, and W. Murphy. Versatile synthetic alternatives to Matrigel for vascular toxicity screening and stem cell expansion.   Nature Communications. Nature Publishing Group, London,  UK, 1(0096): 1-34, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1505447",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2017-07-11",
      "references": [
        "https://doi.org/10.1038/s41551-017-0096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(REPRODUCTIVE TOXICOLOGY)  EMBRYONIC VASCULAR DISRUPTION ADVERSE OUTCOMES: LINKING HIGH THROUGHPUT SIGNALING SIGNATURES WITH FUNCTIONAL CONSEQUENCES",
      "description": "This study evaluated two anti-angiogenic agents, 5HPP-33 and TNP-470, across the ToxCastDB HTS assay platform and anchored the results to complex in vitro functional assays: the rat aortic explant assay (AEA), rat whole embryo culture (WEC), and the zebrafish embryotoxicity (ZET) assay. This dataset is not publicly accessible because: no EPA data; all the data generated by external organizations; EPA coauthors. It can be accessed through the following means: Data generated by external organizations. Format: N/A. \n\nThis dataset is associated with the following publication:\nEllis-Hutchings, R., R. Settivari, A. McCoy, N. Kleinstreuer, J. Franzosa, T. Knudsen, and E. Carney. (REPRODUCTIVE TOXICOLOGY)  EMBRYONIC VASCULAR DISRUPTION ADVERSE OUTCOMES: LINKING HIGH THROUGHPUT SIGNALING SIGNATURES WITH FUNCTIONAL CONSEQUENCES.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 70: 82-96, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1505448",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2017-06-01",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2017.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(ALTEX) Use of High-throughput in vitro toxicity screening data in cancer hazard evaluations by the IARC Monograph Working Groups",
      "description": "Three recent IARC Working Groups pioneered inclusion of the US Environmental Protection Agency (EPA) ToxCast program high-throughput screening (HTS) data to supplement other mechanistic evidence. In Monograph V110, HTS profiles were compared between perfluorooctanoic acid (PFOA) and prototypical activators across multiple nuclear receptors. For Monograph V112-113, HTS assays were mapped to 10 key characteristics of carcinogens identified by an IARC expert group, and systematically considered as an additional mechanistic data stream. This dataset is not publicly accessible because: The data is generated by external authors from existing public data sources. It can be accessed through the following means: Data is available in existing public data sources. Format: N/A. \n\nThis dataset is associated with the following publication:\nChiu, W., K. Guyton, M. Martin, D. Reif, and I. Rusyn. (ALTEX) Use of High-throughput in vitro toxicity screening data in cancer hazard evaluations by the IARC Monograph Working Groups.   ALTEX. Society ALTEX Edition, Kuesnacht,  SWITZERLAND, 35(1): 51-64, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1505449",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2017-07-24",
      "references": [
        "https://doi.org/10.14573/altex.1703231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Archives of Toxicology) Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment",
      "description": "To determine the best way to select predictive groups of genes, we used published microarray data from dose-response studies on six chemicals in rats exposed orally for 5, 14, 28, and 90 days. We evaluated eight approaches for selecting genes for POD derivation and three previously proposed approaches (the lowest pathway BMD, and the mean and median BMD of all genes). This dataset is not publicly accessible because: The research which produced this data was not funded by EPA. The EPA coauthor helped write the manuscript. It can be accessed through the following means: Data generated by other authors. Format: N/A. \n\nThis dataset is associated with the following publication:\nFarmahin, R., A. Williams, B. Kuo, N.L. Chepelev, R.S. Thomas, T.S. Burton-Maclaren, I.H. Curran, A. Nong, M.G. Wade, and C.L. Yauk. (Archives of Toxicology) Recommended approaches in the application of toxicogenomics to derive points of departure for chemical risk assessment.   Archives of Toxicology. Springer, New York, NY, USA, 91(5): 2045-2065, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1505450",
      "keyword": [
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Alexander Hanf",
        "hasEmail": "mailto:hanf.alexander@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-07",
      "references": [
        "https://doi.org/10.1007/s00204-016-1886-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Energy and Emissions Implications of Automated Vehicles in the U.S. Energy System",
      "description": "This data includes model results generated using the MARKAL model and the EPA_US_9r database. Several scenarios involving automated vehicles were modeled. Results include emissions, fuel use, and fuel production under a variety of regimes of vehicle automation. \n\nThis dataset is associated with the following publication:\nDodder, R. Energy and emissions implications of automated vehicles in the U.S. energy system - December 2019.   Transportation Research Part D: Transport and Environment. Elsevier BV, AMSTERDAM,  NETHERLANDS, 77: 132-147, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503410",
      "keyword": [
        "automated vehicles",
        "transportation",
        "energy",
        "externality",
        "energy modeling"
      ],
      "contactPoint": {
        "fn": "Kristen Brown",
        "hasEmail": "mailto:brown.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_AV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503410/SciHub_AV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-14",
      "references": [
        "https://doi.org/10.1016/j.trd.2019.09.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salt Marsh Soil Salinity Data",
      "description": "Data used to evaluate the use of apparent conductivity of salt marsh sediments as a rapid alternative to traditional methods of salinity determination that can be used to map soil salinity across a marsh surface. \n\nThis dataset is associated with the following publication:\nMckinney, R., A. Hanson, R. Johnson, and M. Charpentier. Seasonal variation in apparent conductivity and soil salinity at two Narragansett Bay, RI salt marshes.   PeerJ. PeerJ Inc., Corte Madera, CA, USA, 7: e8074, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503163",
      "keyword": [
        "soil salinity",
        "Salt marsh",
        "apparent conductivity",
        "porewater"
      ],
      "contactPoint": {
        "fn": "Richard McKinney",
        "hasEmail": "mailto:mckinney.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Salt Marsh Soil Salinity Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503163/Salt%20Marsh%20Soil%20Salinity%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A9064 Metadata.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503163/A9064%20Metadata.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-09",
      "references": [
        "https://doi.org/10.7717/peerj.8074"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exploring the General Equilibrium Costs of Sector-Specific Environmental Regulations",
      "description": "Code and data to replicate simulations used in \"Exploring the General Equilibrium Costs of Sector-Specific Environmental Regulations\" by Alex Marten, Richard Garbaccio, and Ann Wolverton, in the Journal of the Association of Environmental and Resource Economists. Some of the data used in the modeling is proprietary and cannot be posted. We provide instructions for obtaining the remaining data and creating the datasets in readme.txt. (2019-05-24). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506126",
      "keyword": [
        "general equilibrium",
        "regulation",
        "social costs"
      ],
      "contactPoint": {
        "fn": "Alex Marten",
        "hasEmail": "mailto:marten.alex@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GOB7NW",
          "accessURL": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/GOB7NW",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-26",
      "references": [
        "https://dx.doi.org/10.1086/705593"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nationwide Reconnaissance of Contaminants of Emerging Concern in Source and Treated Drinking Waters of the United States",
      "description": "Files are an overview of all data acquired in the study examining source and treated drinking water. \n\nThis dataset is associated with the following publication:\nGlassmeyer , S., E. Furlong, D. Kolpin, A. Batt , B. Benson , S. Boone , O. Conerly , M. Donohue , D. King , M. Kostich , H. Mash , S. Pfaller , K. Schenck , J.E. Simmons , E. Varughese , S. Vesper , E. Villegas , and V. Wilson. Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 581582: 909-922, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390088",
      "keyword": [
        "drinking water",
        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "overview paper for science hub..xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390088/overview%20paper%20for%20science%20hub..xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "overview paper table 3 top.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390088/overview%20paper%20table%203%20top.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "overview paper table 3 bottom.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390088/overview%20paper%20table%203%20bottom.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Phase I and II final data for Sci Hub and other distribution.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390088/Phase%20I%20and%20II%20final%20data%20for%20Sci%20Hub%20and%20other%20distribution.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.12.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the Impact of Wastewater Treatment Plant Effluent on Downstream Drinking Water-Source Quality Using a Zebrafish (Danio Rerio) Liver Cell-Based Metabolomics Approach",
      "description": "The datafile presents the data used to create the figures in the manuscript.  These include: a) Two-component score plots of hydrophilic and lipophilic ZFL cell extracts analyzed with NMR and GC-MS, respectively; b) The t-test filtered difference spectra (exposed minus control) generated from binned 1H NMR spectra (0.5–5.0 ppm in chemical shift) of hydrophilic extracts of ZFL cells; c) Bar chart showing the fold change of 21 annotated metabolites from the lipophilic extracts that exhibited different normalized abundance at one or more of the six sites relative to the control as measured by GC-MS; d) The summed intensity values for significantly changed metabolites from the t-test filtered difference spectra for both hydrophilic  and lipophilic extracts across six sampling sites; and e) Relative normalized abundances for metabolites identified in the cholesterol and fatty acid synthesis pathways from lipophilic ZFL extracts. \n\nThis dataset is associated with the following publication:\nZhen, H., D. Ekman, T. Collette, S. Glassmeyer, M. Mills, E. Furlong, D. Kolpin, and Q. Teng. Assessing the impact of wastewater treatment plant effluent on downstream drinking water-source quality using a zebrafish (Danio Rerio) liver cell-based metabolomics approach.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 145: 198-209, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502544",
      "keyword": [
        "metabolomics",
        "cell culture",
        "wastewater treatment plant effluent",
        "potable reuse",
        "water quality",
        "source water",
        "wastewater",
        "drinking water",
        "de facto reuse"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasets for WW2DW manuscript-Metabolomics-Athens-081418.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502544/Datasets%20for%20WW2DW%20manuscript-Metabolomics-Athens-081418.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-13",
      "references": [
        "https://doi.org/10.1016/j.watres.2018.08.028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502544/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Lead and iron speciation results",
      "description": "The data set comprises of two tables the show the linear combination fitting results for lead and iron speciation in samples collected for the study.  The tables show the names of samples pre- and post-treatment and the relative abundance of various lead and iron species present in each sample. \n\nThis dataset is associated with the following publication:\nKastury, F., E. Smith, E. Doelsh, E. Lombi, M. Donnelley, P. Cmielewski, D.W. Parsons, K.G. Scheckel, D. Paterson, M.D. de Jonge, C. Herde, and A.L. Juhasz. In Vitro, in Vivo, and Spectroscopic Assessment of Lead Exposure Reduction via Ingestion and Inhalation Pathways Using Phosphate and Iron Amendments..   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(17): 10329-10341, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503436",
      "keyword": [
        "lead contaminated soil",
        "bioavailability",
        "synchrotron speciation",
        "lead immobilzation",
        "Bioaccessibility Soil"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table2-PbLCF and TableS2-FeLCF.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503436/Table2-PbLCF%20and%20TableS2-FeLCF.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-22",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02448"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dissolution of Silver Nanoparticles in Consumer Products: Effects of Particle Size and Capping Agent",
      "description": "The data set contains the details on the characterization of silver nanoparticles suspension, the dissolution of silver nanoparticles in consumer products based on the dissolved mass Ag+ at deionized water and tap water and particle size fluctuations in deionized water and tap. Also contains a comparison of dissolution patterns between silver consumer products and laboratory-synthesized silver nanoparticles. \n\nThis dataset is associated with the following publication:\nRadwan, I.M., A. Gitipour, P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Dissolution of silver nanoparticles in colloidal consumer products: effects of particle size and capping agent.   Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 21: 155, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502492",
      "keyword": [
        "Nanoparticles",
        "silver nanomaterials",
        "dissolution of silver nanoparticles",
        "consumer products",
        "particle size",
        "capping agent"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "raw data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502492/raw%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-08",
      "references": [
        "https://doi.org/10.1007/s11051-019-4597-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502492/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Nichols et al._Biotransformation of PAH mixures by trout liver S9 fractions",
      "description": "This Excel spreadsheet provides data that appear in Tables 1- 2 and Figures 1-4 of the main document, as well as data that appear in Figures S1-S3 of the Supplementary Information. \n\nThis dataset is associated with the following publication:\nNichols, J., M. Ladd, A. Hoffman, and P. Fitzsimmons. Biotransformation of polycyclic aromatic hydrocarbons by trout liver S9 fractions:  Evaluation of competitive inhibition using a substrate depletion approach.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 38(12): 2729-2739, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503786",
      "keyword": [
        "biotransformation",
        "polycyclic aromatic hydrocarbons",
        "chemical mixtures",
        "bioaccumulation",
        "Competitive inhibition"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "In vitro mixture paper ScienceHub entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503786/In%20vitro%20mixture%20paper%20ScienceHub%20entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-20",
      "references": [
        "https://doi.org/10.1002/etc.4595"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ShahSanjivkumar_HS7-53-05-146_Data-Metadata-Rev_Ftularensis RVPCR Method_Manuscript_20190830",
      "description": "This is a short communication manuscript entitled, “Rapid Viability (RV) PCR Protocol for Detection of Francisella tularensis” to be published in a peer-reviewed journal. This pathogen survives for many days in the environment and water. It is a very slow growing pathogen and can take several days to detect using the traditional microbiological culture methods. Therefore, a high-throughput RV-PCR protocol was developed and optimized by the EPA ORD’s National Homeland Security Research Center (NHSRC) to relatively rapidly detect F. tularensis. The RV-PCR method combines relatively shorter sample enrichment in growth media, and highly specific and sensitive PCR assay-based detection and identification of F. tularensis. Using this method, results can be obtained in 36 hours as compared to several days by the traditional microbiological culture methods. This manuscript contains summarized data from multiple experimental results to show the method performance in various experimental conditions mimicking a real-world interference material. The data has been extracted from the final report for the project on Optimization of a Rapid Viability (RV) PCR Protocol for Detection of Francisella tularensis in water. \n\nThis dataset is associated with the following publication:\nKane, S., S. Shah, and T. Alfaro. Rapid Viability Polymerase Chain Reaction Method for Detection of Francisella tularensis.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 166: ., (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504213",
      "keyword": [
        "Indoor/Outdoor Contamination",
        "detection",
        "Francisella tularensis",
        "tularemia",
        "Rapid Viability PCR",
        "Water Samples",
        "biological agent",
        "non-spore-forming biological agent"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "ShahSanjivkumar_HS7-53-05-146_Data-Metadata-Rev_Ftularensis RVPCR Method_Manuscript_20190830.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504213/ShahSanjivkumar_HS7-53-05-146_Data-Metadata-Rev_Ftularensis%20RVPCR%20Method_Manuscript_20190830.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Manuscript Draft_FT_RVPCR Method_ForSTICS_SShah_20190828.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504213/Manuscript%20Draft_FT_RVPCR%20Method_ForSTICS_SShah_20190828.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-30",
      "references": [
        "https://doi.org/10.1016/j.mimet.2019.105738"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impacts of fire smoke plumes on regional air quality, 2006–2013 data",
      "description": "Impacts of fire smoke plumes on regional air quality, 2006–2013 data. Shape files of smoke plumes that define the geographic extent of smoke are from the NOAA Hazard Mapping System (HMS), and O3, total PM2.5, and PM2.5 constituent measurements for 2006–2013 are from the U.S. Environmental Protection Agency’s (EPA) Air Quality System database. \n\nThis dataset is associated with the following publication:\nLarsen, A., B. Reich, M. Ruminski, and A. Rappold. Impacts of wildfire smoke plumes on regional air quality, 2006-2013.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28(4): 319-327, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503903",
      "keyword": [
        "Fire Smoke",
        "air quality",
        "AQI",
        "HMS"
      ],
      "contactPoint": {
        "fn": "Alexandra Larsen",
        "hasEmail": "mailto:larsen.alexandra@epa.gov"
      },
      "distribution": [
        {
          "title": "Impact Fire Smoke Plumes Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503903/Impact%20Fire%20Smoke%20Plumes%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-29",
      "references": [
        "https://doi.org/10.1038/s41370-017-0013-x",
        "https://www.epa.gov/aqs/aqs-data-dictionary"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dietary Lead and Phosphate Interactions Affect Oral Bioavailability of Soil Lead in the Mouse",
      "description": "Dietary Lead and Phosphate Interactions Affect Oral Bioavailability of Soil Lead in the Mouse. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: In the publication and supporting information. Format: These data were generated from US EPA soil samples.  All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released. \n\nThis dataset is associated with the following publication:\nBradham, K., C. Nelson, G.L. Diamond, W.C. Thayer, K.G. Scheckel, M. Noerpel, K. Herbin-Davis, B. Elek, and D. Thomas. Dietary Lead and Phosphate Interactions Affect Oral Bioavailability of Soil Lead in the Mouse.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(21): 12556-12564, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503450",
      "keyword": [
        "lead",
        "phosphate",
        "soil",
        "bioavailability"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2019-01-28",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02803"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing Dungeness River BMP Effectiveness Using an Ecological Function Approach",
      "description": "These data sets contain specific biophysical data (information) on the Dungeness River located in Washington State (USA) near Sequim, Washington and very  near the Jamestown S'Klallam Indian Reservation.  Data include water quality, river flow rates, rain fall amounts and other observational data.  The years covered for these data sets are the 1920s to the present. \n\nThis dataset is associated with the following publication:\nHall, E., R. Hall, S. Swanson, W. Yee, D. Kozlowski, M. Philbin, D. Heggem, J. Lin, J. Aron, R. Schafer, D. Guiliano, and E. Wilson. Assessing Dungeness River Functionality and Effectiveness of Best Management Practices (BMPs) Using an Ecological Functional Approach.   American Journal of Environmental Engineering. Scientific & Academic Publishing, Rosemead, CA, USA, 9(2): 36-54, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407630",
      "keyword": [
        "Dugeness River",
        "water quality",
        "best management practices",
        "proper functioning condition",
        "Tribal Sustainability",
        "ecological condition assessment",
        "Environmenal health",
        "Ecological Health",
        "Vulnerable Groups"
      ],
      "contactPoint": {
        "fn": "Daniel Heggem",
        "hasEmail": "mailto:heggem.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "Dungeness_Rainfall.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407630/Dungeness_Rainfall.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dungeness_storet_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407630/Dungeness_storet_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dungeness_usgs_results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407630/Dungeness_usgs_results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Childhood Chemical Exposures & ADHD",
      "description": "Odds ratio statistics for ADHD outcomes and chemical exposures. \n\nThis dataset is associated with the following publication:\nNilsen, F., and N. Tulve. A systematic review and meta-analysis examining the interrelationships between chemical and non-chemical stressors and inherent characteristics in children with ADHD.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 180: 108884, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504060",
      "keyword": [
        "mental health",
        "children's health",
        "chemical exposure",
        "monoamine oxidase a",
        "well-being",
        "One Health"
      ],
      "contactPoint": {
        "fn": "Frances Nilsen",
        "hasEmail": "mailto:nilsen.frances@epa.gov"
      },
      "distribution": [
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          "title": "Childhood Chemical Exposures ADHD_SciHub.xlsx",
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      "references": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Automotive Surface Coating NESHAP Surveys",
      "description": "Surveys asked vehicle manufacturers to identify what HAP abatement controls were already in place prior to the 2004 NESHAP and what controls were put in afterwards to comply, as well as the costs associated with compliance. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: It cannot, as it is CBI. Summary information for the dataset is available in the published article as well as a NCEE working paper. Format: The data are in written form via survey responses. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1510322",
      "keyword": [
        "vehicle manufacturing",
        "hazardous air pollutants",
        "NESHAP",
        "compliance costs"
      ],
      "contactPoint": {
        "fn": "Maryann Wolverton",
        "hasEmail": "mailto:wolverton.ann@epa.gov"
      },
      "distribution": [],
      "modified": "2013-09-25",
      "references": [
        "https://dx.doi.org/10.1017/bca.2018.25"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Pb LCF data for Port Pirie soil",
      "description": "The dataset shows the distribution of lead phases (as weighted percentages) within a soil sample from Port Pirie (South Australia) determined from linear combination fitting of X-ray absorption spectroscopy data, along with LCF statistical error. \n\nThis dataset is associated with the following publication:\nKastury, F., E. Smith, E. Lombi, M.W. Donnelley, P.L. Cmielewski, D.W. Parsons, M. Noerpel, K.G. Scheckel, A.M. Kingston, G.R. Myers, D. Paterson, M.D. de Jonge, and A.L. Juhasz. Dynamics of Lead Bioavailability and Speciation in Indoor Dust and X-ray Spectroscopic Investigation of the Link between Ingestion and Inhalation Pathways.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(19): 11486-11495, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503884",
      "keyword": [
        "lead speciation",
        "metal bioavailability",
        "contaminated dust",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503884/Table.docx",
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      "references": [
        "https://doi.org/10.1021/acs.est.9b03249"
      ],
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                "name": "U.S. Government"
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        ]
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      "accessRights": "public"
    },
    {
      "title": "Per- and Polyfluoroalkyl Substances in Source and Treated Drinking Waters of the United States",
      "description": "Data are the source water and treated drinking water concentrations for 17 PFAS. \n\nThis dataset is associated with the following publication:\nBoone, J.S., C. Vigo, T. Boone, C. Byrne, J. Ferrario, B. Benson, J. Donohue, J. Simmons, D. Kolpin, E. Furlong, and S. Glassmeyer. Per- and polyfluoroalkyl substances in source and treated drinking waters of the United States..   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 653: 359-369, (2019).",
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      "bureauCode": [
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        "source water",
        "pharmaceuticals",
        "microorganisms",
        "Per- and polyfluoroalkyl substances"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
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    {
      "title": "Distribution, variability, and predictors of urinary BPA levels in adults",
      "description": "Distribution, variability, and predictors of urinary bisphenol A levels in adults. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data contains PII and can not be released. Format: Distribution, variability, and predictors of urinary bisphenol A levels in adults.  Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. \n\nThis dataset is associated with the following publication:\nMorgan, M., M. Nash, D. Boyd Barr, J. Starr, M. Clifton, and J. Sobus. Distribution, Variability, and Predictors of Urinary Bisphenol-A Levels in 50 North Carolina Adults over a Six-Week Monitoring Period.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 112: 85-99, (2018).",
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      "bureauCode": [
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        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
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      "accessRights": "public"
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    {
      "title": "Predictors of 3-PBA levels in adults",
      "description": "Non-chemical stressors that impact urinary pyrethroid metabolite levels. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. Format: Non-chemical stressors that impact urinary pyrethroid metabolite levels. Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. \n\nThis dataset is associated with the following publication:\nMorgan, M., P. Jones, J. Sobus, and D. Boyd Barr. Predictors of Urinary 3-Phenoxybenzoic Acid Levels in 50 North Carolina Adults.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 13(11): 1172, (2016).",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504170",
      "keyword": [
        "adults",
        "insecticides",
        "exposure",
        "determinants",
        "urine",
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      ],
      "contactPoint": {
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        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2014-06-01",
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        "https://doi.org/10.3390/ijerph13111172"
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                "name": "U.S. Government"
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            ]
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    {
      "title": "Data Center Energy Efficiency Focus Groups and Interviews",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506133",
      "keyword": [
        "energy efficiency paradox",
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        "data centers",
        "focus groups"
      ],
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        "fn": "Heather Klemick",
        "hasEmail": "mailto:klemick.heather@epa.gov"
      },
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    {
      "title": "NOx RACT and power plant employment",
      "description": "Data on NOx RACT, ozone nonattainment, and power plant employment, and program files used in:\nGlenn Sheriff, Ann E. Ferris, and Ronald J. Shadbegian, \"How Did Air Quality Standards Affect Employment at US Power Plants? The Importance of Timing, Geography, and Stringency,\" Journal of the Association of Environmental and Resource Economists 6, no. 1 (January 2019): 111-149. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506073",
      "keyword": [
        "Clean Air Act",
        "electric power utilities",
        "employment",
        "environmental regulation",
        "NOx RACT",
        "ozone nonattainment"
      ],
      "contactPoint": {
        "fn": "Ann Ferris",
        "hasEmail": "mailto:ferris.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "NOxRACT_power_plant_employment.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506073/NOxRACT_power_plant_employment.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-12",
      "references": [
        "https://dx.doi.org/10.1086/700929"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506073/documents/readme%20JAERE%20article%20Sheriff_Ferris_Shadbegian.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "An integrated agriculture, atmosphere, and hydrology modeling system for ecosystem assessments",
      "description": "Human activities such as agricultural fertilization and fossil fuel combustion have introduced a massive amount of anthropogenic nitrogen (N) in reactive forms to the environment. As agricultural fertilization is the single largest anthropogenic N source, an integrated approach to understand the interactions among agriculture, atmosphere, and hydrology is essential in examining human-altered N cycling. We have developed an integrated modeling system with agriculture EPIC, atmosphere WRF/CMAQ, and hydrology SWAT. This integrated system is useful tool for scientists and policy-makers to answer many questions on cycling of water, carbon, and nutrients for sustaining the food production while protecting the environment. \n\nThis dataset is associated with the following publication:\nRan, L., Y. Yuan, E. Cooter, V. Benson, J. Pleim, R. Wang, and J. Williams. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(12): 4645-4668, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504283",
      "keyword": [
        "IMS",
        "FEST-C",
        "EPIC",
        "WRF-CMAQ",
        "SWAT",
        "nitrogen cycling",
        "air quality",
        "SWAT water quality"
      ],
      "contactPoint": {
        "fn": "Limei Ran",
        "hasEmail": "mailto:ran.limei@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_fig3b_CMAQv53_bidi_rs1_NH4_dep_NADP_spatial.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/CMAQ_fig3b_CMAQv53_bidi_rs1_NH4_dep_NADP_spatial.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_fig12_AMON_NH3_scatter_plot_April_to_Sept_2011.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/CMAQ_fig12_AMON_NH3_scatter_plot_April_to_Sept_2011.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_fig13a_monthly_mean_NH4_dep.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/CMAQ_fig13a_monthly_mean_NH4_dep.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_figs2_sndep_5yr_average.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/CMAQ_figs2_sndep_5yr_average.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPIC_fig3_table.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/EPIC_fig3_table.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SWAT_fig15_Model_Performance_Evaluation_2010_2013_final_correct.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/SWAT_fig15_Model_Performance_Evaluation_2010_2013_final_correct.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPIC_fig7_usgs_IGRA_2010_app_FIPS_Freqcounty.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/EPIC_fig7_usgs_IGRA_2010_app_FIPS_Freqcounty.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPIC_fig11_usgs_fert_2011_plot.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/EPIC_fig11_usgs_fert_2011_plot.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPIC_run_summary_plots_2010_2011_2012.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504283/EPIC_run_summary_plots_2010_2011_2012.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-04",
      "references": [
        "https://doi.org/10.1029/2019ms001708"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of M4 Carbine Rifle Emissions with Three Ammunition Types ARL paper 02 13 19",
      "description": "Data for figures in paper that show emissions by ammunition type and time. \n\nThis dataset is associated with the following publication:\nAurell, J., A. Holder, B. Gullett, K. McNesby, and J. Weinstein. Characterization of M4 Carbine Rifle Emissions With Three Ammunition Types.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 254: 254, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504527",
      "keyword": [
        "rifle",
        "emissions",
        "firing",
        "ammunition"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Set for Sci Hub ARL paper 02 13 19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504527/Data%20Set%20for%20Sci%20Hub%20ARL%20paper%2002%2013%2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-13",
      "references": [
        "https://doi.org/10.1016/j.envpol.2019.112982"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PACOM DATA SET Gasifier Municipal Batch Emissions",
      "description": "This dataset reports a variety of emissions from operation of a batch-fed waste gasifier with a combustor. \n\nThis dataset is associated with the following publication:\nAurell, J., M. Barnes, B. Gullett, A. Holder, and R. Eninger. Methodology for Characterizing Emissions from Small (0.5-2 MTD) Batch-Fed Gasification Systems Using Multiple Waste Compositions.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 87: 398-406, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503073",
      "keyword": [
        "Gasifier",
        "waste",
        "emissions",
        "combustor",
        "military",
        "municipal",
        "waste composition"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Set PaCOM paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503073/Data%20Set%20PaCOM%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-19",
      "references": [
        "https://doi.org/10.1016/j.wasman.2019.02.031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Great Lakes fauna inventory as of 20 May 2019",
      "description": "Dataset is an Excel file with 6 tabs as follows:\n1) Changelog: Documentation of additions and changes to file since its creation\n2) Citations: Listing of citations with full references used in other 4 tabs\n3-6) Fish, Herps, Zoops, Benthos: For each of these 4 groups, a listing where rows are unique taxa and columns are the attributes recorded for them as described in the journal manuscript. \n\nThis dataset is associated with the following publication:\nTrebitz, A., M. Sykes, and J. Barge. A reference inventory for aquatic fauna of the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(6): 1036-1046, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503853",
      "keyword": [
        "biodiversity",
        "species occurrence",
        "taxonomic literature",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "GLfaunainventory_forSciHub_20May2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503853/GLfaunainventory_forSciHub_20May2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-20",
      "references": [
        "https://doi.org/10.1016/j.jglr.2019.10.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "State-Level Drivers of Future Fine Particulate Matter Mortality in the United States",
      "description": "Future fine particulate matter (PM2.5) concentrations and health impacts will be largely determined by factors such as energy use, fuel choices, emission controls, state and national policies, and demographics. In this study, a human-earth system model is used to estimate US state-level PM2.5 mortality costs from 2015 to 2050 considering current major air quality and energy regulations. The Logarithmic Mean Divisia Index is applied to quantify the contributions of socioeconomic and energy factors to future changes in PM2.5 mortality costs. National PM2.5 mortality costs are estimated to decrease by 25% from 2015 to 2050, primarily driven by decreases in energy intensity and decreases in PM2.5 mortality cost per unit consumption of electric sector coal and transportation liquids. These factors together contribute to 68% of the net decrease, primarily because of technology improvements and air pollutant emission regulations. Furthermore, the results suggest that states with greater population and economic growth, but with fewer clean energy resources, are more likely to face significant challenges in reducing future PM2.5 mortality costs. In contrast, states with larger projected decreases in mortality costs have smaller increases in population and per capita GDP and greater decreases in electric sector coal share and PM2.5 mortality cost per unit fuel consumption. \nThis dataset includes source code, input data, and model output from the Global Change Assessment Model (GCAM-USA) human-earth system model used in this study. It also includes Excel workbooks and R scripts used in producing the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nOu, Y., S. Smith, J.J. West, C. Nolte, and D. Loughlin. State-level drivers of future fine particulate matter mortality in the United States..   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 14(12): 124071, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503444",
      "keyword": [
        "fine particulate matter (PM2.5)",
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503444/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503444/results.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EASIUR-input.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503444/EASIUR-input.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "gcam-usa.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503444/gcam-usa.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-12",
      "references": [
        "https://doi.org/10.1088/1748-9326/ab59cb"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Turley et al. \"Applying the RISK21 approach to assess predictivity of new approach methodologies...\"",
      "description": "Data for publication Turley et al. \"Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals\".  Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions. \n\nThis dataset is associated with the following publication:\nTurley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals.   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503448",
      "keyword": [
        "exposure",
        "high throughput",
        "chemical prioritization",
        "food contact substances",
        "food packaging",
        "ExpoCast",
        "SHEDS"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "Turleyetal_for_sciencehub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503448/Turleyetal_for_sciencehub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-07",
      "references": [
        "https://doi.org/10.1016/j.fct.2019.110819"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of qPCR and RT-qPCR for Monitoring Variations of Microcystin Producers and Early Warning Their Toxin Production in an Ohio Inland Lake",
      "description": "qPCR and RT-qPCR. \n\nThis dataset is associated with the following publication:\nLu, J., I. Struewing, L. Wymer, D. Tettenhorst, J. Shoemaker, and J. Allen. Use of qPCR and RT-qPCR for monitoring variations of microcystin producers and as an early warning system to predict toxin production in an Ohio inland lake.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 170: 115262, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503449",
      "keyword": [
        "microcystin",
        "Microcystis",
        "harmful algal bloom",
        "early warning",
        "qPCR/RT-qPCR"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "qPCR_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503449/qPCR_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-25",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.115262"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Optimizing hydrologic performance of green roof media data set",
      "description": "Moisture holding capacity and other hydrologic attributes of various green roof planting substrates. \n\nThis dataset is associated with the following publication:\nBollman, M., G. DeSantis, R. DuChanois, M. Etten-Bohm, D. Olszyk, J. Lambrinos, and P. Mayer. A Framework for optimizing hydrologic performance of green roof media.   ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 140: 105589, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502546",
      "keyword": [
        "water holding capacity",
        "plant growth media",
        "Green Infrastructure",
        "stormwater management",
        "green roof design"
      ],
      "contactPoint": {
        "fn": "Michael Bollman",
        "hasEmail": "mailto:bollman.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "A framework for optimizing hydrologic performance of green roof media_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502546/A%20framework%20for%20optimizing%20hydrologic%20performance%20of%20green%20roof%20media_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-02",
      "references": [
        "https://doi.org/10.1016/j.ecoleng.2019.105589"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SCCWRP - STREAM CLASSIFICATION AND PRIORITY EXPLORER",
      "description": "The data contain information on the biological condition of streams within California as well as geospatial/field indicators of watershed or water quality. \n\nThis dataset is associated with the following publication:\nBeck, M., R. Mazor, S. Johnson, K. Wisenbaker, J. Westfall, P. Ode, R. Hill, C. Loflen, M. Sutula, and E. Stein. Prioritizing management goals for stream biological integrity within the developed landscape context.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  38(4): 883-898, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1506090",
      "keyword": [
        "bioassessment",
        "biotic integrity",
        "streams",
        "urbanization",
        "modified channels",
        "landscape stressors",
        "random forests",
        "prioritization",
        "data visualization",
        "stakeholder group"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/1218121#.XeVW1uhKg-V",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-13",
      "references": [
        "https://doi.org/10.1086/705996"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrologic landscape groundwater modeling input parameters and results",
      "description": "The files and data included in this archive allow readers to inspect and reproduce the model results reported in Neff et al. (2020). Please refer to the included ReadMe file for a further explanation of individual files and step-by-step instructions for running the models.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504529",
      "keyword": [
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "1 - Playa.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/1%20-%20Playa.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2 - Plateau & High Plains.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/2%20-%20Plateau%20%26%20High%20Plains.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3 - Mountain Valley.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/3%20-%20Mountain%20Valley.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4 - Riverine Valley.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/4%20-%20Riverine%20Valley.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5 - Coastal Terrain.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/5%20-%20Coastal%20Terrain.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReadMe (epa).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504529/ReadMe%20%28epa%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2019-12-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating the Environmental Fate and Transport of Graphene Oxide Nanoparticles and Their Major Phototransformation Product in Surface Waters: ORD-024619",
      "description": "There has been growing interest in simulating the fate and transport of engineered nanomaterials in the environment. The Water Quality Analysis Simulation Program (WASP) is one of the most widely used water quality models and has recently been upgraded to WASP8. WASP8 incorporates the algorithms to simulate the fate and transport of nanoparticles in surface waters. This study simulates the fate and transport of graphene oxide (GO) nanomaterials and their major phototransformation product, photoreduced graphene oxide (rGO), for Brier Creek, GA, USA. We specifically explored the influences of three important processes on the fate and transport of GO: (1) light attenuation, (2) phototransformation, and (3) heteroaggregation, and simulated their distributions in the river, including the water column and sediment. \n\nThis dataset is associated with the following publication:\nHan, Y., C. Knightes, D. Bouchard, R. Zepp, B. Avant, H. Hsieh, X. Chang, B. Acrey, M. Henderson, and J. Spear. Simulating graphene oxide nanomaterial phototransformation and transport in surface water.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 6: 180, (2019).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:095"
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      "identifier": "https://doi.org/10.23719/1434256",
      "keyword": [
        "nanomaterials",
        "graphene oxide",
        "reduced graphene oxide",
        "water quality",
        "Water Quality Analysis Simulation Program",
        "WASP",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Fig3 a and b.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434256/Data%20for%20Fig3%20a%20and%20b.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Fig3 c and d.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434256/Data%20for%20Fig3%20c%20and%20d.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434256/Figure%204A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        {
          "title": "Figure 4B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434256/Figure%204B.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2019-07-02",
      "references": [
        "https://doi.org/10.1039/c8en01088a"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
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      "accessRights": "public"
    },
    {
      "title": "Iron concentrations in exhaled breath condensate decrease in ever-smokers and COPD patients",
      "description": "This is the data used in the manuscript. \n\nThis dataset is associated with the following publication:\nGhio, A., J. Soukup, J. Mcgee, M. Madden, and C. Esther Jr. Iron concentration in exhaled breath condensates decreases in ever-smokers and COPD patients.   Journal of Breath Research. Institute of Physics Publishing, Bristol,  UK, 12(4): 046009, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1432765",
      "keyword": [
        "particulate matter",
        "smoking",
        "oxidants"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "eclipse data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1432765/eclipse%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-06",
      "references": [
        "https://doi.org/10.1088/1752-7163/aad825"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
      "accessRights": "public"
    },
    {
      "title": "HTF2015 Dietary Oils Effects on Mitochondrial Bioenergetics and Glial Morphology",
      "description": "Effects of acute ozone exposure on mitochondrial complex enzyme activities in various brain regions and glial morphology reared on different dietary oils. \n\nThis dataset is associated with the following publication:\nValdez, M., D. Freeborn, J. Valdez, A. Johnstone, S. Snow, A. Tennant, U. Kodavanti, and P. Kodavanti. Mitochondrial Bioenergetics in Brain Following Ozone Exposure in Rats Maintained on Coconut, Fish, and Olive Oil-Rich Diets.   International Journal of Molecular Sciences. MDPI AG, Basel,  SWITZERLAND, 20(24): 6303, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504549",
      "keyword": [
        "Mitochondria",
        "Ozone",
        "High-fat diet",
        "neurotoxicity",
        "Bioenergetics",
        "Astrocytes",
        "microglia",
        "fish oil",
        "olive oil",
        "Coconut oil"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Mito Bioenergetics Ozone Dietary Oil Suppl_A-573z_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504549/Mito%20Bioenergetics%20Ozone%20Dietary%20Oil%20Suppl_A-573z_dataset.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2019-12-01",
      "references": [
        "https://doi.org/10.3390/ijms20246303"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
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      "accessRights": "public"
    },
    {
      "title": "Cell-Based Metabolomics for Untargeted Screening and Prioritization of Vertebrate-Active Stressors in Streams Across the United States",
      "description": "Extents of impact, as measured by NMR spectroscopy, on the Zebrafish liver cell endogenous metabolite profiles resulting from exposure to the 38 stream waters, along with numbers of anthropogenic organic chemicals detected at each site. Also, a summary of chemicals detected by class is included, along with statistics on their occurances in the group of stressors that most-strongly covary with changes in endogenous metabolite profiles. \n\nThis dataset is associated with the following publication:\nCollette, T., D. Ekman, H. Zhen, H. Nguyen, P.M. Bradley, and Q. Teng. Cell-Based Metabolomics for Untargeted Screening and Prioritization of Vertebrate-Active Stressors in Streams Across the United States.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(15): 9232-9240, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503727",
      "keyword": [
        "metabolomics",
        "in vitro bioassays",
        "effects-based monitoring",
        "NMR spectroscopy",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Collette Stream Metabolomics SciHub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503727/Collette%20Stream%20Metabolomics%20SciHub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-22",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02736"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data",
      "description": "Measurement and log removal values of spiked microbes to evaluate system performance. \n\nThis dataset is associated with the following publication:\nGassie, L., J. Englehardt, N. Brinkman, J. Garland, and M. Kusumitha Perera. Ozone-UV net-zero water wash station for remote emergency response healthcare Units: Design, operation, and results.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 6(11): 1971-1984, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500005",
      "keyword": [
        "net-zero water",
        "direct potable reuse",
        "remote emergency response"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "Microbe-LRVs-SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500005/Microbe-LRVs-SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-26",
      "references": [
        "https://doi.org/10.1039/c9ew00126c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "O3-Noise CM2018 ScienceHub Data (uploaded 5-22-19, draft only",
      "description": "Data set still under review (5-22-19). \n\nThis dataset is associated with the following publication:\nMiller, C., U. Kodavanti, E. Stewart, M. Schladweiler, J. Richards, S. Snow, A. Henriquez Coria, W. Oshiro, A. Farraj, M. Hazari, and J. Dye. Fetal Growth Outcomes Following Peri-Implantation Exposure of Long Evans Rats to Noise and Ozone Differ by Sex.   Biology of Sex Differences. BioMed Central Ltd, London,  UK, 10(1): 54, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503869",
      "keyword": [
        "Ozone",
        "noise",
        "intrauterine growth restriction",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Janice Dye",
        "hasEmail": "mailto:dye.janice@epa.gov"
      },
      "distribution": [
        {
          "title": "O3Noise-CM2018 Datasheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503869/O3Noise-CM2018%20Datasheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-22",
      "references": [
        "https://doi.org/10.1186/s13293-019-0270-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503869/documents/O3-Noise-Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Urban soil ecosystem services",
      "description": "This dataset is representative of the subset of measured urban soil hydrologic, taxonomic, and fertility data that was used to support the results and conclusions of this paper. \n\nThis dataset is associated with the following publication:\nDustin, H., W. Shuster , and A. Garmestani. Vacant urban lot soils and their potential to support ecosystem services.   PLANT AND SOIL. Springer, New York, NY, USA, 179(2): 01-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390083",
      "keyword": [
        "shrinking cities",
        "urban soil ecosystem services",
        "vacant lots",
        "urban soils",
        "soil hydrology",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of DataDictionary_Shuster_UrbanSoilEcosystemServices.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390083/Copy%20of%20DataDictionary_Shuster_UrbanSoilEcosystemServices.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "plsodata5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390083/plsodata5.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-08-29",
      "references": [
        "https://doi.org/10.1007/s11104-016-2874-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1390083/documents/Copy%20of%20DataDictionary_Shuster_UrbanSoilEcosystemServices.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "PPIAvsLCMS",
      "description": "Vender specific data. \n\nThis dataset is associated with the following publication:\nMash , H. Effect of chlorination on the protein phosphatase inhibition activity for several microcystins.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 95: 230-239, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407520",
      "keyword": [
        "microcystins",
        "Algaltoxin",
        "Protein phosphatase inhibition",
        "chlorination"
      ],
      "contactPoint": {
        "fn": "Heath Mash",
        "hasEmail": "mailto:mash.heath@epa.gov"
      },
      "distribution": [
        {
          "title": "160224-PPIA vs LC-MS Results - Summarized from the Excel data files1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407520/160224-PPIA%20vs%20LC-MS%20Results%20-%20Summarized%20from%20the%20Excel%20data%20files1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "160224-PPIA vs LC-MS Results - Summarized from the Excel data files2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407520/160224-PPIA%20vs%20LC-MS%20Results%20-%20Summarized%20from%20the%20Excel%20data%20files2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-28",
      "references": [
        "https://doi.org/10.1016/j.watres.2016.03.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter Related Cardiovascular Mortality",
      "description": "County-level annual cardiovascular mortality rates and annual average PM2.5 concentrations, 2132 U.S. counties, 1990-2010. Included national emissions by sectors and county-level confounders (annual COPD mortality rates, percent non-white population, and median income). \n\nThis dataset is associated with the following publication:\nPeterson, G., C. Hogrefe, L. Neas, A. Corrigan, R. Mathur, and A. Rappold. Impacts of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(1): 17005, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503961",
      "keyword": [
        "fine particulate matter (PM2.5)",
        "cardiovascular mortality",
        "CMAQ",
        "long-term trends",
        "health effects"
      ],
      "contactPoint": {
        "fn": "Geoffrey Peterson",
        "hasEmail": "mailto:peterson.geoffrey@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasets for A-z61z.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503961/Datasets%20for%20A-z61z.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-07",
      "references": [
        "https://doi.org/10.1289/ehp5692"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.cdc.gov/nchs/data-linkage/mortality-public.htm"
      },
      "accessRights": "public"
    },
    {
      "title": "Regulating temperature and relative humidity in air-liquid interface in vitro systems ",
      "description": "The raw data values used in all the tables and figures of the manuscript. \n\nThis dataset is associated with the following publication:\nZavala, J., R. Greenan, T. Krantz , D. DeMarini , M. Higuchi , I. Gilmour , and P.A. White. Regulating temperature and relative humidity in air-liquid interface in vitro systems eliminates cytotoxicity resulting from control air exposures.   Toxicology Research. Royal Society of Chemistry, London,  UK, 6(4): 448-459, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517577",
      "keyword": [
        "complex aerosols",
        "air-liquid",
        "in-vitro",
        "exposures",
        "relative humidity",
        "temperature"
      ],
      "contactPoint": {
        "fn": "Mark Higuchi",
        "hasEmail": "mailto:higuchi.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "HiguchiMark_A-q57w_SDMP_20200108.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517577/HiguchiMark_A-q57w_SDMP_20200108.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-01",
      "references": [
        "https://doi.org/10.1039/c7tx00109f"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset - Donner Nanosilver PCP Table 3 LCF results",
      "description": "Linear combination fitting results of the Ag K-edge XANES spectra using the standards listed, as percentage composition and variability (in parentheses) of the total. R-factor indicates the quality of the fit. \n\nThis dataset is associated with the following publication:\nKhaksar, M., S. Vasileiadis, R. Sekine, G. Brunetti, K.G. Scheckel, K. Vasilev, E. Lombi, and E. Donner. Chemical characterisation, antibacterial activity, and (nano)silver transformation of commercial personal care products exposed to household\ngreywater.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 6(10): 3027-3028, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503381",
      "keyword": [
        "synchrotron speciation",
        "silver nanoparticles",
        "antimicrobial activity"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset-Donner Nanosilver PCP.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503381/Dataset-Donner%20Nanosilver%20PCP.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-14",
      "references": [
        "https://doi.org/10.1039/c9en00738e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Riparian Wetness in the Upper Missouri Headwater basins - supporting data",
      "description": "Includes data and derivations not publicly available used to create figures and tables for manuscript. \n\nThis dataset is associated with the following publication:\nVanderhoof, M., J. Christensen, and L. Alexander. Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana.   HYDROLOGY AND EARTH SYSTEM SCIENCES. EGS,    23(10): 4269–4292, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503642",
      "keyword": [
        "center-pivot",
        "discharge",
        "Landsat",
        "riparian wetness"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P976LZ2G",
          "accessURL": "https://doi.org/10.5066/P976LZ2G",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503642/Influence%20of%20multi-decadal%20land%20use%2C%20irrigation%20practices%20and%20climate%20on%20riparian%20corridors%20across%20the%20Upper%20Missouri%20River%20headwaters%20basin%2C%20Montana.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-21",
      "references": [
        "https://doi.org/10.5194/hess-23-4269-2019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biophysical comparision  of four silver nanoparticles coatings using microscopy hyperspectral imaging and flow cytometry ",
      "description": "hyperspectral imaging data, images , flow cytometry histograms. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: contact robert zucker by e-mail\nzucker.robert@epa.gov. Format: the imaging is in JP2 and ND 2 nikon files . the flow cytometry is in FSC3.0 format which is not uploadable. \n\nThis dataset is associated with the following publication:\nZucker, R., J. Ortenzio, L. Degn, J. Lerner , and W. Boyes. Biophysical Comparison of Four Silver Nanoparticles Coatings using Microscopy, Hyperspectral Imaging and Flow Cytometry..   PLoS ONE. Public Library of Science, San Francisco, CA, USA,  1-24, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517578",
      "keyword": [
        "silver nanoparticles",
        "flow cytometry",
        "hyperspectral imaging",
        "microscopy",
        "darkfield microscopy",
        "Mitochondria",
        "cell cycle",
        "Light scatter",
        "plasmonic surface resonance"
      ],
      "contactPoint": {
        "fn": "Robert Zucker",
        "hasEmail": "mailto:zucker.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-08",
      "references": [
        "https://doi.org/10.1371/journal.pone.0219078"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US EPA Superfund Site Soil Samples",
      "description": "US EPA Superfund site soil samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. \n\nThis dataset is associated with the following publication:\nBradham, K., C. Nelson, P. Alava, J. Misenheimer, G. Diamond, W. Thayer, and D. Thomas. Estimating relative bioavailability of soil lead in the mouse.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(24): 1179-1182, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1506072",
      "keyword": [
        "lead",
        "bioavailability",
        "soil"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2016-05-01",
      "references": [
        "https://doi.org/10.1080/15287394.2016.1221789"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub Disinfectant Impact",
      "description": "Contains Sample ID, Disinfectant type, Cold/Hot, Total Chlorine Residual, Genomic Target/L. \n\nThis dataset is associated with the following publication:\nDonohue, M., S. Vesper, J. Mistry, and J. Donohue. Impact of Chlorine and Chloramine on the Detection and Quantification of Legionella pneumophila and Mycobacterium Species.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 85(24): e01942-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503713",
      "keyword": [
        "legionella",
        "Mycobacterium",
        "disinfectant",
        "total chlorine residual"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub (Final) Disinfectant Impact.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503713/SciHub%20%28Final%29%20Disinfectant%20Impact.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-27",
      "references": [
        "https://doi.org/10.1128/aem.01942-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "metadata_A-280m",
      "description": "The metadata describe the set of Landsat Thematic Mapper images used in this study. This dataset is not publicly accessible because: File size is too large. It can be accessed through the following means: See the data dictionary. Format: TIFF. \n\nThis dataset is associated with the following publication:\nVanderhoof, M., J. Christensen , and L. Alexander. Patterns and drivers for wetland connections in the Prairie Pothole Region, United States.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 25: 275-297, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517582",
      "keyword": [
        "Prairie Pothole Region",
        "network",
        "Landsat",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [],
      "modified": "2016-09-01",
      "references": [
        "https://doi.org/10.1007/s11273-016-9516-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517582/documents/dd_A-280m.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Lakes, Surface Water Dynamics, Prairie Pothole Region, Depressional wetlands, Wetland Loss, Landsat, Climate, Wetland Connectivity",
      "description": "These data are processed Landsat images. This dataset is not publicly accessible because: The dataset is too large for Sciencehub upload. It can be accessed through the following means: Please contact Laurie Alexander, alexander.laurie@epa.gov. Format: These data are in OLI Full Resolution Browse (FRB) format. \n\nThis dataset is associated with the following publication:\nVanderhoof , M., and L. Alexander. The Role of Lake Expansion in Altering the Wetland Landscape of the Prairie Pothole Region, United States.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 36(Suppl 2): S309-S321, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517579",
      "keyword": [
        "lakes",
        "Surface Water Dynamics",
        "Prairie Pothole Region",
        "Depressional wetlands",
        "Wetland Loss",
        "Landsat",
        "climate",
        "Wetland Connectivity"
      ],
      "contactPoint": {
        "fn": "Laurie Alexander",
        "hasEmail": "mailto:alexander.laurie@epa.gov"
      },
      "distribution": [],
      "modified": "2015-12-01",
      "references": [
        "https://doi.org/10.1007/s13157-015-0728-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517579/documents/dd_A-rnj1.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Reactivity of graphene oxide with reactive oxygen species",
      "description": "Graphs of kinetic data on indirect photoreaction of graphene oxide with selected reactive oxygen species graphs. \n\nThis dataset is associated with the following publication:\nHsieh, H., and R. Zepp. Reactivity of graphene oxide with reactive oxygen species (hydroxyl radical, singlet oxygen, and superoxide anion).   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 6(12): 3734-3744, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503905",
      "keyword": [
        "carbon nanomaterial",
        "graphene oxide",
        "transformations",
        "indirect photolysis",
        "aquatic environment",
        "Reactive oxygen species"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for GO_ROS_Experiments.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503905/Data%20for%20GO_ROS_Experiments.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-30",
      "references": [
        "https://doi.org/10.1039/c9en00693a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ISO-Aging Data",
      "description": "GC-MS chromatograms from chamber and field studies were generated in this study. \n\nThis dataset is associated with the following publication:\nJaoui, M., R. Szmigielski, K. Nestorowicz, A. Kolodziejczyk, K. Sarang, K.J. Rudzinski, A. Konopka, T. Kleindienst, E. Bulska, and M. Lewandowski. Organic Hydroxy Acids as Highly Oxygenated Molecular (HOM) Tracers for Aged Isoprene Aerosol.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(24): 14516-14527, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503732",
      "keyword": [
        "isoprene",
        "highly oxidized molecules",
        "Secondary Organic Aerosol",
        "methyl-threonic acid",
        "methylerythronic acid",
        "methyltartaric acid",
        "LC-Orbitrap",
        "mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "Part1_Iso-Aging_STICS_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503732/Part1_Iso-Aging_STICS_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-23",
      "references": [
        "https://doi.org/10.1021/acs.est.9b05075"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Automated Retrieval and Evaluation of Precipitation Data Sources for Environmental Modeling",
      "description": "36 years of daily precipitation data from NLDAS, GLDAS, PRISM, NCEI, and DAYMET. \n\nThis dataset is associated with the following publication:\nSitterson, J., S. Sinnathamby, R. Parmar, J. Koblich, K. Wolfe, and C. Knightes. Demonstration of an online web services tool incorporating automatic retrieval and comparison of precipitation data.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   123: 104570, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503994",
      "keyword": [
        "Precipitation Data",
        "precipitation",
        "web services",
        "Comparison",
        "pre processing data"
      ],
      "contactPoint": {
        "fn": "Rajbir Parmar",
        "hasEmail": "mailto:parmar.rajbir@epa.gov"
      },
      "distribution": [
        {
          "title": "Precip_Compare_Manuscript.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503994/Precip_Compare_Manuscript.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-13",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2019.104570"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Provides an overview of the analysis and associated files, scripts and datasets",
      "description": "This dataset contains the files, scripts and data that were used to run the simulations and data analyses for the manuscript. \n\nThis dataset is associated with the following publication:\nBall, K., C. Grant, W. Mundy, and T. Shafer. A multivariate extension of mutual information for growing neural networks..   Neural Networks. Elsevier B.V., Amsterdam,  NETHERLANDS, 95: 29-43, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1375317",
      "keyword": [
        "neurotoxicity",
        "screening",
        "Microelectrode array",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "Mutual Information Data and Scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1375317/Mutual%20Information%20Data%20and%20Scripts.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-19",
      "references": [
        "https://doi.org/10.1016/j.neunet.2017.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Vassallo et al",
      "description": "The dataset contains data from MEA recordings for 6 different compounds that were tested in a concentration-response format. Multiple parameters of neural network function were evaluated. \n\nThis dataset is associated with the following publication:\nShafer , T., C. Mack , A. Johnstone , A. Vassallo, M. Chiappalone, R. De Camargo Lopes, B. Scelfo, A. Novellino, E. Defranchi, T. Palosaari, T. Weisschu, T. Ramirez, R. Landsiedel, S. Martinoia, M. Whealan, and A. Bal-Price. A multi-laboratory evaluation of microelectrode array-based measurements of neural network activity for acute neurotoxicity testing..   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 60: 280-292, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517583",
      "keyword": [
        "screening",
        "Microelectrode array",
        "cross laboratory comparison"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "Vassallo Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517583/Vassallo%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-10",
      "references": [
        "https://doi.org/10.1016/j.neuro.2016.03.019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Mutagenicity Emission Factors of canola Oil and Waste Vegetable Oil Biodiesel:  Comparison to Soy Biodiesel",
      "description": "The data set show the number of bacterial mutant colonies (called revertants or rev) per petri plate and the dose of the extractable organic matter (EOM) in terms of micrograms/petri plate for the extracts of the various biodiesel samples evaluated. \n\nThis dataset is associated with the following publication:\nDemarini, D., E. Mutlu, S. Warren, C. King, M. Gilmour, and W. Linak. Mutagenicity Emission Factors of Canola Oil and Waste Vegetable Oil Biodiesel:  Comparison to Soy Biodiesel.   Mutation Research / Genetic Toxicology and Environmental Mutagenesis. Elsevier Science Ltd, New York, NY, USA, 846: 1-8, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503522",
      "keyword": [
        "Mutagenicity",
        "biodiesel",
        "canola oil",
        "waste vegetable oil",
        "emission factors"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Biodiesel Mutagenicity Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503522/Biodiesel%20Mutagenicity%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-07",
      "references": [
        "https://doi.org/10.1016/j.mrgentox.2019.05.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model output and data used for analysis",
      "description": "The modeled data in these archives are in the NetCDF format (https://www.unidata.ucar.edu/software/netcdf/). NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. It is also a community standard for sharing scientific data. The Unidata Program Center supports and maintains netCDF programming interfaces for C, C++, Java, and Fortran. Programming interfaces are also available for Python, IDL, MATLAB, R, Ruby, and Perl.\nData in netCDF format is:\n•\tSelf-Describing. A netCDF file includes information about the data it contains.\n•\tPortable. A netCDF file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers.\n•\tScalable. Small subsets of large datasets in various formats may be accessed efficiently through netCDF interfaces, even from remote servers.\n•\tAppendable. Data may be appended to a properly structured netCDF file without copying the dataset or redefining its structure.\n•\tSharable. One writer and multiple readers may simultaneously access the same netCDF file.\n•\tArchivable. Access to all earlier forms of netCDF data will be supported by current and future versions of the software.\nPub_figures.tar.zip \nContains the NCL scripts for figures 1-5 and Chesapeake Bay Airshed shapefile. The directory structure of the archive is ./Pub_figures/Fig#_data. Where # is the figure number from 1-5. \nEMISS.data.tar.zip \nThis archive contains two NetCDF files that contain the emission totals for 2011ec and 2040ei emission inventories. The name of the files contain the year of the inventory and the file header contains a description of each variable and the variable units. \nEPIC.data.tar.zip contains the monthly mean EPIC data in NetCDF format for ammonium fertilizer application (files with ANH3 in the name) and soil ammonium concentration (files with NH3 in the name) for historical (Hist directory) and future (RCP-4.5 directory) simulations.\nWRF.data.tar.zip contains mean monthly and seasonal data from the 36km downscaled WRF simulations in the NetCDF format for the historical (Hist directory) and future (RCP-4.5 directory) simulations. \nCMAQ.data.tar.zip contains the mean monthly and seasonal data in NetCDF format from the 36km CMAQ simulations for the historical (Hist directory), future (RCP-4.5 directory) and future with historical emissions (RCP-4.5-hist-emiss directory). \n\nThis dataset is associated with the following publication:\nCampbell, P., J. Bash, C. Nolte, T. Spero, E. Cooter, K. Hinson, and L. Linker. Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed.   Journal of Geophysical Research - Biogeosciences. American Geophysical Union, Washington, DC, USA, 12(11): 3307-3326, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500447",
      "keyword": [
        "CMAQ",
        "Chesapeake Bay",
        "TMDL",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "Pub_figures.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/Pub_figures.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EMISS.data.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/EMISS.data.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPIC.data.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/EPIC.data.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WRF.data.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/WRF.data.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ.data.tar.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/CMAQ.data.tar.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Science hub metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500447/Science%20hub%20metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-26",
      "references": [
        "https://doi.org/10.1029/2019jg005203"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "serrano A-sf8c data",
      "description": "This dataset contains raw and reduced GC and LC data in an excel file. \n\nThis dataset is associated with the following publication:\nSerrano, J., R. Kolanczyk, M. Tapper, T. Lahren, N. Dongari, D. Hammermeister, P. Kosian, P. Schmieder, B. Sheedy, K. Challis, and A. Kubatova. Characterization and analysis of estrogenic cyclic phenone metabolites produced in vitro by rainbow trout liver slices using GC-MS, LC-MS and LC-TOF-MS.   Journal of Chromatography B. Elsevier Science Ltd, New York, NY, USA, 1126-1127: 1-12, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517585",
      "keyword": [
        "cyclic phenones",
        "Metabolism",
        "fish",
        "Vtg gene expression"
      ],
      "contactPoint": {
        "fn": "Jose Serrano",
        "hasEmail": "mailto:serrano.jose@epa.gov"
      },
      "distribution": [
        {
          "title": "mass calculator cpk metabolites Serrano A-sf8c.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517585/mass%20calculator%20cpk%20metabolites%20Serrano%20A-sf8c.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-10",
      "references": [
        "https://doi.org/10.1016/j.jchromb.2019.121717"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517585/documents/Serrano%20asf8c_data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of the influence of temperature on the emissions of organophosphate flame retardants from polyisocyanurate foam: measurement and modelling. ",
      "description": "Dataset of the influence of temperature on the emissions of organophosphate flame retardants from polyisocyanurate foam: measurement and modelling. \n\nThis dataset is associated with the following publication:\nLiang, Y., X. Liu, and M. Allen. The Influence of Temperature on the Emissions of Organophosphate Ester Flame Retardants from Polyisocyanurate Foam: Measurement and Modeling.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 233: 347-354, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503218",
      "keyword": [
        "Organophosphate flame retardants (OPFRs)",
        "Semivolatile Organic Compounds (SVOCs)",
        "Chamber testing",
        "Emission mechanism",
        "Temperature influence"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Tables&Dictionary-20181206.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503218/Data%20Tables%26Dictionary-20181206.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-05",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2019.05.289"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Effects of Roadside Vegetation Barrier Characteristics on Near-Road Air Quality",
      "description": "Air quality and meteorological measurements collected in Woodside, California along a heavily-trafficked highway with and without an existing vegetation barrier.  The data includes fixed and mobile monitoring data collected by an electric vehicle for CO, NO2, black carbon and ultrafine particles. \n\nThis dataset is associated with the following publication:\nDeshmukh, P., V. Isakov, A. Venkatram, B. Yang, K. Zhang, R. Logan, and R. Baldauf. The Effects of Roadside Vegetation Characteristics on Local, Near-Road Air Quality.   Air Quality, Atmosphere & Health. Springer Netherlands,   NETHERLANDS, 12(3): 259-270, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407528",
      "keyword": [
        "air quality",
        "traffic",
        "near-road",
        "vegetation"
      ],
      "contactPoint": {
        "fn": "Richard Baldauf",
        "hasEmail": "mailto:baldauf.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "California2014study.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407528/California2014study.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-25",
      "references": [
        "https://doi.org/10.1007/s11869-018-0651-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "These data are from a human study collected under IRB protocol:  ClinicalTrials.gov # NCT01874834",
      "description": "These data are from a human study collected under IRB protocol:  ClinicalTrials.gov # NCT01874834. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: These data are from a human study collected under IRB protocol:  ClinicalTrials.gov # NCT01874834.  As such, it is a violation of Federal Law to publish them. Format: These data are from a human study collected under IRB protocol:  ClinicalTrials.gov # NCT01874834. \n\nThis dataset is associated with the following publication:\nStiegel, M., J. Pleil, J. Sobus, T. Stevens, and M. Madden. Linking physiological parameters to perturbations in the human exposome: Environmental exposures modify blood pressure and lung function via inflammatory cytokine pathway.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 80(9): 485-501, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1389051",
      "keyword": [
        "cytokine",
        "Diesel Exhaust",
        "exposure data",
        "inflammatory response"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2012-04-15",
      "references": [
        "https://doi.org/10.1080/15287394.2017.1330578"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of firefighters absorption of PAHs and benzene during training exercises",
      "description": "The dataset contains concentrations of toxicants in breath and urine collected from study participants. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: By contacting CDC/NIOSH. Format: The dataset contains concentrations of toxicants in breath and urine collected from study participants. \n\nThis dataset is associated with the following publication:\nFent, K., C. Toennis, D. Sammons, S. Robertson, S. Bertke, A. Calafat, J. Pleil, A. Wallace, S. Kerber, D. Smith, and G. Horn. Firefighters' and instructors’ absorption of PAHs and benzene during training exercises.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 222(7): 991-1000, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503338",
      "keyword": [
        "firefighters",
        "breath",
        "urine",
        "biomarkers",
        "polycyclic aromatic hydrocarbons",
        "benzene"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-31",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2019.06.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for figures and tables",
      "description": "Software\n\nModel simulations were conducted using WRF version 3.8.1 (available at https://github.com/NCAR/WRFV3) and CMAQ version 5.2.1 (available at https://github.com/USEPA/CMAQ). The meteorological and concentration fields created using these models are too large to archive on ScienceHub, approximately 1 TB, and are archived on EPA’s high performance computing archival system (ASM) at /asm/MOD3APP/pcc/02.NOAH.v.CLM.v.PX/. \n\nFigures\n\nFigures 1 – 6 and Figure 8: Created using the NCAR Command Language (NCL) scripts (https://www.ncl.ucar.edu/get_started.shtml). NCLD code can be downloaded from the NCAR website (https://www.ncl.ucar.edu/Download/) at no cost. The data used for these figures are archived on EPA’s ASM system and are available upon request.\n\nFigures 7, 8b-c, 8e-f, 8h-i, and 9 were created using the AMET utility developed by U.S. EPA/ORD. AMET can be freely downloaded and used at https://github.com/USEPA/AMET. The modeled data paired in space and time provided in this archive can be used to recreate these figures. \n\nThe data contained in the compressed zip files are organized in comma delimited files with descriptive headers or space delimited files that match tabular data in the manuscript. The data dictionary provides additional information about the files and their contents. \n\nThis dataset is associated with the following publication:\nCampbell, P., J. Bash, and T. Spero. Updates to the Noah Land Surface Model in WRF‐CMAQ to Improve Simulated Meteorology, Air Quality, and Deposition.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(1): 231-256, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500022",
      "keyword": [
        "air quality",
        "CMAQ",
        "WRF-CMAQ",
        "chemistry-meteorology"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "A1_AMON.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A1_AMON.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A6_AMON.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A6_AMON.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A1_AQS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A1_AQS.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A1_IMPROVE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A1_IMPROVE.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A6_IMPROVE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A6_IMPROVE.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A6_AQS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A6_AQS.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A7_IMPROVE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/A7_IMPROVE.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Soil_veg_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/Soil_veg_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-28",
      "references": [
        "https://doi.org/10.1029/2018ms001422"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500022/documents/Science%20hub%20metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Annual PM2.5 and cardiovascular mortality rate data: Trends modified by county socioeconomic status in 2,132 US counties",
      "description": "Data on county socioeconomic status for 2,132 US counties and each county’s average annual cardiovascular mortality rate (CMR) and total PM2.5 concentration for 21 years (1990-2010). County CMR, PM2.5, and socioeconomic data were obtained from the U.S. National Center for Health Statistics, U.S. Environmental Protection Agency’s Community Multiscale Air Quality modeling system, and the U.S. Census, respectively. A socioeconomic index was created using seven county-level measures from the 1990 US census using factor analysis. Quintiles of this index were used to generate categories of county socioeconomic status. \n\nThis dataset is associated with the following publication:\nWyatt, L., G. Peterson, T. Wade, L. Neas, and A. Rappold. The contribution of improved air quality to reduced cardiovascular mortality: Declines in socioeconomic differences over time.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 136: 105430, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1506014",
      "keyword": [
        "mortality",
        "cardiovascular",
        "air pollution",
        "particulate matter",
        "socioeconomic status"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "SES_PM25_CMR_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506014/SES_PM25_CMR_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-04",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.105430"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multigene biomarkers of pyrethroid exposure: exploratory experiments",
      "description": "Gene expression microarray measurements in Pimephales promelas before and after pyrethroid exposure. \n\nThis dataset is associated with the following publication:\nKostich, M., D. Bencic, A. Batt, M. See, R. Flick, D. Gordon, J. Lazorchak, and A. Biales. Multigene Biomarkers of Pyrethroid Exposure: Exploratory Experiments.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 38(11): 2436-2466, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500894",
      "keyword": [
        "aquatic",
        "fish",
        "gene expression",
        "microarray",
        "pyrethroid"
      ],
      "contactPoint": {
        "fn": "Mitchell Kostich",
        "hasEmail": "mailto:kostich.mitchell@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE113286",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE113286",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-17",
      "references": [
        "https://doi.org/10.1002/etc.4552"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Exploring case-control samples with non-targeted analysis",
      "description": "These data contain the results of GC-MS, LC-MS and immunochemistry analyses of mask sample extracts. The data include tentatively identified compounds through library searches and compound abundance. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The data can not be accessed. Format: The dataset contains the identification of compounds found in the mask samples as well as the abundance of those compounds for individuals who participated in the trial. \n\nThis dataset is associated with the following publication:\nPleil, J., M. Wallace, J. McCord, M. Madden, J. Sobus, and G. Ferguson. How do cancer-sniffing dogs sort biological samples? Exploring case-control samples with non-targeted LC-Orbitrap, GC-MS, and immunochemistry methods.   Journal of Breath Research. Institute of Physics Publishing, Bristol,  UK, 14(1): 016006, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503685",
      "keyword": [
        "Pre-clinical cancer",
        "canine olfaction",
        "Orbitrap mass spectrometry",
        "immunochemistry",
        "case-control analysis"
      ],
      "contactPoint": {
        "fn": "Joachim Pleil",
        "hasEmail": "mailto:pleil.joachim@epa.gov"
      },
      "distribution": [],
      "modified": "2019-02-15",
      "references": [
        "https://doi.org/10.1088/1752-7163/ab433a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data sets for Nano TiO2 & CeO2 effects on BEAS-2B cells",
      "description": "Signaling pathways  from IPA:  canonical pathways obtained by uploading differentially expressed genes onto IPA to get the corresponding pathways altered by the chemicals.\n\nFigure 4 ABCDHILM ROS final:  Excel file with raw data and calculated fold change for the ROS (Deep Red) assay on 8 nanoparticles.\n\nData files for tables:  this file include physical-chemical properties of the 8 NPs (worksheet 1), sizing and zeta potential from zeta sizer (worksheet 2&3) and numbers of differentially expressed genes (DEGs) (worksheet 4).\n\nData files for figure 5 to 11:  physical -chemical properties of the NPs, raw data and calculation for ROS-RNS, 8-oxo-dG, AP sites, endogenous DNA adducts, 4-HNE, and MDA adducts. \n\nThis dataset is associated with the following publication:\nThai, S., C. Jones, G. Nelson, B. Vallanat, M. Killius, J. Crooks, w. Ward, C. Blackman, and J. Ross. Differential effects of Nano TiO2 and CeO2 on normal human lung epithelial cells in vitro.   Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 19(11): 6907-6923, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502468",
      "keyword": [
        "engineered nanomaterials",
        "transcriptomics",
        "signaling pathways analysis",
        "DNA damage assays",
        "Reactive oxygen species"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "data files for figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502468/data%20files%20for%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1-3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502468/Figure%201-3.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of signaling pathways from IPA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502468/Copy%20of%20signaling%20pathways%20from%20IPA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "copy of table for 7 nano on BEAS2B 5-9-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502468/copy%20of%20table%20for%207%20nano%20on%20BEAS2B%205-9-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of figur 4 Nano ABCDHILM ROS final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502468/Copy%20of%20figur%204%20Nano%20ABCDHILM%20ROS%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-09",
      "references": [
        "https://doi.org/10.1166/jnn.2019.16737"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Arsenic Safe Drinking Water Information System (SDWIS) Federal Reports Advanced Search Tool ",
      "description": "This data includes information on Arsenic violations in the US, including time patterns and spatial patterns in Arsenic violations, and people served by systems in violation. Most of the data is from the Safe Drinking Water Information System. \n\nThis dataset is associated with the following publication:\nFoster, S., M. Pennino, J. Compton, S. Leibowitz, and M. Kile. Arsenic Drinking Water Violations Decreased Across the United States Following Revision of the Maximum Contaminant Level..   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(19): 11478-11485, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503345",
      "keyword": [
        "drinking water",
        "nitrate",
        "nitrate in groundwater",
        "maximum contaminant level",
        "surface water",
        "public water systems"
      ],
      "contactPoint": {
        "fn": "Michael Pennino",
        "hasEmail": "mailto:pennino.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "SDWIS_As_Violations_Over_Time_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_As_Violations_Over_Time_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_As_Violation_Duration_State_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_As_Violation_Duration_State_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_As_Pop_Served_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_As_Pop_Served_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mean_Annual_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/Mean_Annual_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mean_Annual_As_Pop_Served_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/Mean_Annual_As_Pop_Served_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_GW_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_GW_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_GW_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_Percent_GW_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_GWSW_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_Percent_GWSW_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_Percent_SW_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_Percent_SW_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SDWIS_SW_As_Violations_County_2006-2017_FINAL.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503345/SDWIS_SW_As_Violations_County_2006-2017_FINAL.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-21",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02358"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hypothetical Aggregate Exposure Pathway Network",
      "description": "This data set contains R code for a hypothetical exposure model described in the manuscript \"A quantitative source-to-outcome case study to demonstrate the integration of human health and ecological endpoints using the Aggregate Exposure Pathway and Adverse Outcome Pathway frameworks\".  Additionally, this data set contains an Excel file that provides the range of parameters used in Monte Carlo simulations to generate iterations of the exposure network. \n\nThis dataset is associated with the following publication:\nHines, D., R. Conolly, and A. Jarabek. A quantitative source-to-outcome case study to demonstrate the integration of human health and ecological endpoints using the Aggregate Exposure Pathway and Adverse Outcome Pathway frameworks.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(8): 11002-11012, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502543",
      "keyword": [
        "Aggregate exposure",
        "cumulative risk assessment",
        "adverse outcome pathway",
        "environmental exposure",
        "Aggregate Exposure Pathway"
      ],
      "contactPoint": {
        "fn": "David Hines",
        "hasEmail": "mailto:hines.david@epa.gov"
      },
      "distribution": [
        {
          "title": "AEP_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502543/AEP_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AEP_SciHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502543/AEP_SciHub.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-06",
      "references": [
        "https://doi.org/10.1021/acs.est.9b04639"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502543/documents/Data%20Dictionary_final.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Enhancement of RNA from  FFPE v27.2",
      "description": "This data set is composed of Tables, Figures, zip file containing the whole manuscript individual datasets. \n\nThis dataset is associated with the following publication:\nWehmas, L., C. Wood, B. Chorley, C. Yauk, G. Nelson, and S. Hester. Enhanced Quality Metrics for Assessing RNA Derived From Archival Formalin-Fixed Paraffin-Embedded Tissue Samples.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  170(2): 357-373, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1506036",
      "keyword": [
        "quality metrics"
      ],
      "contactPoint": {
        "fn": "Susan Hester",
        "hasEmail": "mailto:hester.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Wehmas_to_Linda_Adams Fig&text&tables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506036/Wehmas_to_Linda_Adams%20Fig%26text%26tables.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Enhancement of RNA from FFPE_v27.2_clean_20171115.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506036/Enhancement%20of%20RNA%20from%20FFPE_v27.2_clean_20171115.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Enhancement of RNA from FFPE_v27.2_marked_20171115.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506036/Enhancement%20of%20RNA%20from%20FFPE_v27.2_marked_20171115.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_1_DEG_overlap_20171024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506036/Table_1_DEG_overlap_20171024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_S1_triplex_RT-qPCR_primers_20170829.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506036/Table_S1_triplex_RT-qPCR_primers_20170829.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_2_IPA_overlap_20170731.xlsx",
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        "https://doi.org/10.1093/toxsci/kfz113"
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    {
      "title": "Datasets for PUC paper 09182018",
      "description": "Datasets associated with the publication \"Establishing a System of Consumer Products Categories to Support Rapid Modeling of Human Exposure\". \n\nThis dataset is associated with the following publication:\nIsaacs, K., K. Dionisio, K. Phillips, C. Bevington, P. Egeghy, and P. Price. Establishing a system of consumer product use categories to support rapid modeling of human exposure.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 171-183, (2020).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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      "identifier": "https://doi.org/10.23719/1503034",
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        "SHEDS-HT",
        "HEM",
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      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
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      },
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            "name": "U.S. Environmental Protection Agency",
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    },
    {
      "title": "Model code, tech manual, and model input files",
      "description": "The Agent-Based Model of Human Activity Patterns (ABMHAP): Documentation and Users Guide. \n\nThis dataset is associated with the following publication:\nBrandon, N., and P. Price. Calibrating an agent-based model of longitudinal human activity patterns using the Consolidated Human Activity Database.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 194–204, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "identifier": "https://doi.org/10.23719/1503651",
      "keyword": [
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        "agent based modeling",
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      ],
      "contactPoint": {
        "fn": "Paul Price",
        "hasEmail": "mailto:price.pauls@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/HumanExposure/AgentBasedModel",
          "accessURL": "https://github.com/HumanExposure/AgentBasedModel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-03-14",
      "references": [
        "https://doi.org/10.1038/s41370-019-0156-z"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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    },
    {
      "title": "Model code, tech manual, and model input files",
      "description": "The GitHub repository includes the model code, an annotated description of the code and technical manual. Copies of input files used to generate the published results are also included. This file also contains the data for the modeling reported in a second publication \"Brandon, Namdi, and Paul S. Price. \"Calibrating an agent-based model of longitudinal human activity patterns using the Consolidated Human Activity Database.\" Journal of exposure science & environmental epidemiology (2019): 1-11\". \n\nThis dataset is associated with the following publication:\nBrandon, N., K. Dionisio, K. Isaacs, R. Tornero-Velez, D. Kapraun, W. Setzer, and P. Price. Simulating exposure-related behaviors using agent-based models embedded with needs-based artificial intelligence.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 184–193, (2020).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517574",
      "keyword": [
        "Agent-Based Model",
        "Computational exposure",
        "human behavior"
      ],
      "contactPoint": {
        "fn": "Paul Price",
        "hasEmail": "mailto:price.pauls@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/HumanExposure/AgentBasedModel",
          "accessURL": "https://github.com/HumanExposure/AgentBasedModel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-25",
      "references": [
        "https://doi.org/10.1038/s41370-018-0052-y"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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                "name": "U.S. Government"
              }
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      },
      "accessRights": "public"
    },
    {
      "title": "3rd gen wheat data repository",
      "description": "Data show the effects of nano CeO2 particles on the nutrient contents and stable isotopes of wheat plants over 3 generations of exposure. \n\nThis dataset is associated with the following publication:\nRico, C.M., O.M. Abolade, D. Wagner, B. Lottes, J. Rodriguez, R. Biagioni, and C. Andersen. Wheat exposure to cerium oxide nanoparticles over three generations reveals transmissible changes in nutrition, biochemical pools, and response to soil N.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 384: 121364, (2020).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504184",
      "keyword": [
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
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          "title": "3rd Gen Wheat Data Repository - USEPA.xlsx",
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        "https://doi.org/10.1016/j.jhazmat.2019.121364"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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              {
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    {
      "title": "New bidirectional ammonia flux model in an air quality model coupled with an agricultural model",
      "description": "L1_cation.txt is a text dump of CEC data from EPIC output for the 12 km CMAQ grid for each of 42 crop types\n\nCMAQv53_bidi_fix_NH3_290871_scatterplot.csv is data table used for scatter plot of observed vs AMoN NH3 concentrations shown is fig 5 in the paper\n\nCMAQv53_bidi_fix_PM25_NH4_494657_spatialplot_diff.csv is the data table used to produce the spatial plot of the biases in modeled ammonium PM2.5 (g m-3) compared to CSN (circles), CASTNet (triangles), and SEARCH (squares) networks averaged over May to September 2016 as shown in Fig6.\n\nCMAQv53_bidi_fix_PM25_SO4_886932_spatialplot_diff.csv   is the data table used to produce the spatial plot of the biases in modeled sulfate PM2.5 (g m-3) compared to IMPROVE (circles), CSN (triangles), CASTNET (squares), and SEARCH (diamonds) networks averaged over May to September 2016. \n\nThis dataset is associated with the following publication:\nPleim, J., L. Ran, K. Appel, M. Shephard, and K. Cady-Pereira. New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(9): 2934-2957, (2019).",
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      "identifier": "https://doi.org/10.23719/1504167",
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        "fn": "Jonathan Pleim",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504167/L1_cation.txt",
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          "title": "Figures11_to_14_CrIS2016_cmaq12km.xlsx",
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        },
        {
          "title": "Figures11_to_14_cma2016_Bidifix_NH3_1330_avg_allmonths.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504167/Figures11_to_14_cma2016_Bidifix_NH3_1330_avg_allmonths.xlsx",
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504167/Figure15_agLand_beld4_CMAQ12km_2011.txt",
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        "https://doi.org/10.1029/2019ms001728"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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    },
    {
      "title": "Modeling Spatiotemporal Patterns of Ecosystem Metabolism and Organic Carbon Dynamics Affecting Hypoxia on the Louisiana Continental Shelf.",
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      "keyword": [
        "nutrients",
        "Hypoxia",
        "Gulf of Mexico",
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      ],
      "contactPoint": {
        "fn": "Brandon Jarvis",
        "hasEmail": "mailto:jarvis.brandon@epa.gov"
      },
      "distribution": [
        {
          "title": "GIS_ModelDomain_StationLocations.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504209/GIS_ModelDomain_StationLocations.zip",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table2_sensitivity.xlsx",
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        {
          "title": "Table1_CalibrationError-Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504209/Table1_CalibrationError-Summary.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table3_CarbonBudget.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504209/Table3_CarbonBudget.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "Decision Analytic Aproach Survey Results",
      "description": "An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors for consumer product-related chemicals. Three different versions of the model were evaluated using distinct weight profiles. \n\nThis dataset is associated with the following publication:\nWood, M., K. Plourde, S. Larkin, P. Egeghy, A. Williams, V. Zemba, I. Linkov, and D. Vallero. Advances on a Decision Analytic Approach to Exposure‐Based Chemical Prioritization.   RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 40(1): 83-96, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1430498",
      "keyword": [
        "engineering risk analytics",
        "Exposure Science",
        "screening prioritization",
        "expert elicitation",
        "MCDA",
        "multi-criteria decision analysis"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "ValleroDaniel_A-qvbg_17.02.12 Survey Results v4_deidentified.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1430498/ValleroDaniel_A-qvbg_17.02.12%20Survey%20Results%20v4_deidentified.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://doi.org/10.1111/risa.13001",
        "https://pasteur.epa.gov/uploads/10.23719/1430498/documents/ADVANCES%20Appendix%201.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Low level hydrogen peroxide vapor data for Cary test house decontamination study, using a Bacillus anthracis surrogate",
      "description": "The data set is comprised of five Excel spreadsheets, one for each of the tests described in the research article.  The data in the spreadsheets are the colony forming unit (CFU) data for each coupon material replicate and location. \n\nThis dataset is associated with the following publication:\nMickelsen, L., J. Wood, W. Calfee, S. Serre, S. Ryan, A. Touati, F. Delafield, and D. Aslett. Low‐concentration hydrogen peroxide decontamination for Bacillus spore contamination in buildings.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 30(1): 47-56, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500896",
      "keyword": [
        "hydrogen peroxide vapor",
        "Bacillus anthracis",
        "Decontamination",
        "Sporicide"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Test 0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/Test%200.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/Test%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/Test%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/Test%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/Test%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2018-05-25",
      "references": [
        "https://doi.org/10.1002/rem.21629"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500896/documents/Data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
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    {
      "title": "Volatile organic compound emissions from prescribed burning in tallgrass prairie ecosystems",
      "description": "Measured concentrations of carbon monoxide, carbon dioxide, and voaltile organic compounds from downwind of prescribe fires in tallgrass prairie ecosystems. Data is in *.csv format. \n\nThis dataset is associated with the following publication:\nWhitehill, A., I. George, R. Long, K. Baker, and M. Landis. Volatile Organic Compound Emissions from Prescribed Burning in Tallgrass Prairie Ecosystems.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 10(8): 464, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504124",
      "keyword": [
        "carbon monoxide",
        "carbon dioxide",
        "fire",
        "wildfire land",
        "emission factor",
        "tallgrass prairie",
        "oozne production",
        "hazardous air pollutant",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "TableS1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS6.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/TableS5.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FlintHillsBurn_DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504124/FlintHillsBurn_DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-18",
      "references": [
        "https://doi.org/10.3390/atmos10080464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detection Limit Study",
      "description": "Detection Limit Study. \n\nThis dataset is associated with the following publication:\nReddy, T., R. Flick , J. Lazorchak , M. Smith, B. Wiechman, and D. Lattier. Experimental paradigm for in-lab proxy aquatic studies under conditions of static, non flow through chemical exposures.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 34(12): 2796-2802, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502606",
      "keyword": [
        "transcriptomics",
        "contaminant of emerging concern",
        "ecotoxicogenomic",
        "endocrine-disrupting compound",
        "estrongenic compound"
      ],
      "contactPoint": {
        "fn": "James Lazorchak",
        "hasEmail": "mailto:lazorchak.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "EDC data 2004.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/EDC%20data%202004.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EDC Data 2005.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/EDC%20Data%202005.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EDCs graphs for SETAC-Continuoius addition.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/EDCs%20graphs%20for%20SETAC-Continuoius%20addition.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EE2 Study # 10-02 Final Report 060710.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/EE2%20Study%20%23%2010-02%20Final%20Report%20060710.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SETAC EE2, E1 Vg & Chemistry from Manual exchange.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/SETAC%20EE2%2C%20E1%20Vg%20%26%20Chemistry%20from%20Manual%20exchange.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Study # 10-01 EE2 Vg & 18s data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/Study%20%23%2010-01%20EE2%20Vg%20%26%2018s%20data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Study # 10-03 Final Report 060910.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/Study%20%23%2010-03%20Final%20Report%20060910.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Study # 10-03 Vg & 18s RR Data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/Study%20%23%2010-03%20Vg%20%26%2018s%20RR%20Data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TD # 1690-EE2 #1-15 Vg&18s.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502606/TD%20%23%201690-EE2%20%231-15%20Vg%2618s.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2010-06-09",
      "references": [
        "https://doi.org/10.1002/etc.3121"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Stormwater Calculator Unit and Regional Cost Equations and Data Variables ",
      "description": "The spreadsheets that provide the unit and regional cost variables and equations for all of the green infrastructure and low impact development controls programmed into the National Stormwater Calculator. \n\nThis dataset is associated with the following publications:\nRossman, L., and J. Bernagros. NATIONAL STORMWATER CALCULATOR WEB APP USER’S GUIDE – VERSION 3.2.0 - manual. U.S. Environmental Protection Agency, Washington, DC, USA, 2019.\nBernagros, J., D. Pankani, S. Struck , and M. Deerhake. Estimating Regionalized Planning Costs of Green Infrastructure and Low-Impact Development Stormwater Management Practices: Updates to the US Environmental Protection Agency’s National Stormwater Calculator.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 7(2): 04020021-1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510483",
      "keyword": [
        "Green Infrastructure",
        "low impact development",
        "maintenance",
        "costs",
        "scenario planning",
        "capital",
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      ],
      "contactPoint": {
        "fn": "Jason Bernagros",
        "hasEmail": "mailto:bernagros.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "BLS_CPI_geographic_revision_area-Combined.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510483/BLS_CPI_geographic_revision_area-Combined.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPAStormWaterCalcCostComponent-EPA_07132016_dp_cmb-COMBINED.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510483/EPAStormWaterCalcCostComponent-EPA_07132016_dp_cmb-COMBINED.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-15",
      "references": [
        "https://www.epa.gov/water-research/national-stormwater-calculator-users-guide-mobile-web-based-app",
        "https://doi.org/10.1061/jswbay.0000934",
        "https://pasteur.epa.gov/uploads/10.23719/1510483/documents/LID%20Cost%20Analysis_Report_National%20SWC_2015.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1510483/documents/LID%20SW%20Control%20Cost%20Estimation%20Analysis_Cost%20Estimation%20Procedure_APPENDICES.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1510483/documents/Final%20Methodology%20and%20Results%20Report_Delivered08192016_Final_Feb_21_18-Edit.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1510483/documents/TO-026_Task_4-3-B-2_QC_QC_Report_Final_08192016_RTI-Geosyntec.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "California Central Valley PWC sensitivity analysis data",
      "description": "This repository contains model input/output, R scripts and collated literature data as part of the model evaluation and sensitivity analysis process for the Pesticide Water Calculator. \n\nThis dataset is associated with the following publication:\nSinnathamby, S., J. Minucci, D. Denton, S. Raimondo, L. Oliver, Y. Yuan, D. Young, A. Pitchford, E. Waits, and T. Purucker. A sensitivity analysis of pesticide concentrations in California Central Valley vernal pools.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 257: 113486, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435026",
      "keyword": [
        "pesticides",
        "vernal pools",
        "agricultural watersheds"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/sinnathamby_pwc/",
          "accessURL": "https://github.com/puruckertom/sinnathamby_pwc/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.envpol.2019.113486"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Droplet Digital PCR Quantification of Norovirus and Adenovirus in Decentralized Wastewater and Graywater Collections",
      "description": "Provides droplet digital polymerase chain reaction (ddPCR) and quantitative PCR (qPCR) measurements of adenovirus and norovirus in three decentralized wastewater and graywater collection systems. \n\nThis dataset is associated with the following publication:\nJahne, M., N. Brinkman, S. Keely, B. Zimmerman, E. Wheaton, and J. Garland. Droplet Digital PCR Quantification of Norovirus and Adenovirus in Decentralized Wastewater and Graywater Collections: Implications for Onsite Reuse.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 169: 115213, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502589",
      "keyword": [
        "norovirus",
        "graywater",
        "wastewater",
        "ddPCR",
        "QMRA",
        "water reuse"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502589/Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-30",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.115213"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Species sulfur sulfate raw data",
      "description": "Measurements of water sulfate concentrations at the beginning and end of the exposures of the animals, initial δ(34S/32S) ratios in the animals at the beginning and end of the exposures, and initial δ(34S/32S) ratios of the exposure water. \n\nThis dataset is associated with the following publication:\nGriffith, M., J. Lazorchak, and H. Haring. Uptake of Sulfate from Ambient Water by Freshwater Animals.   WATER. MDPI AG, Basel,  SWITZERLAND, 12(5): 1496, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504445",
      "keyword": [
        "water quality",
        "Major Ions",
        "sulfate",
        "uptake",
        "aquatic animals"
      ],
      "contactPoint": {
        "fn": "Michael Griffith",
        "hasEmail": "mailto:griffith.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Pimephales_promelas_labSO4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Pimephales_promelas_labSO4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pimephales_promelas_stableisotope.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Pimephales_promelas_stableisotope.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Utterbackia_imbecillis_labSO4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Utterbackia_imbecillis_labSO4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Utterbackia_imbecillis_stableisotope.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Utterbackia_imbecillis_stableisotope.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hexagenia_bilineata_labSO4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Hexagenia_bilineata_labSO4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hexagenia_bilineata_stableisotope.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Hexagenia_bilineata_stableisotope.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Procambarus_clarkii_labSO4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Procambarus_clarkii_labSO4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Procambarus_clarkii_stableisotope.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/Procambarus_clarkii_stableisotope.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-12",
      "references": [
        "https://doi.org/10.3390/w12051496"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504445/documents/Data_Dictionary-SulfatePhysiology-508.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "AAFEX Aircraft Emissions Field Campaign",
      "description": "This dataset contains information from a 2009 research study of the fine particle emissions from two commercial aircraft engines as obtained 30-meters downstream of each engine. \n\nThis dataset is associated with the following publication:\nKinsey, J., W. Squier, and M. Timko. Characterization of the Fine Particle Emissions from the Use of Two Fischer-Tropsch Fuels in a CFM56-2C1 Commercial Aircraft Engine.   ENERGY AND FUELS. American Chemical Society, Washington, DC, USA,  33, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503398",
      "keyword": [
        "aircraft engines",
        "emissions",
        "Fine Particulate Matter",
        "instrumentation",
        "Speciation"
      ],
      "contactPoint": {
        "fn": "John Kinsey",
        "hasEmail": "mailto:kinsey.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 2 & 9a_Revised 10-21-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%202%20%26%209a_Revised%2010-21-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 4 & 9b_Revised 10-22-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%204%20%26%209b_Revised%2010-22-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 5_Revised 10-22-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%205_Revised%2010-22-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 6_Revised 10-22-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%206_Revised%2010-22-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 7 & 8_Revised 10-22-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%207%20%26%208_Revised%2010-22-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 10_New 10-29-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503398/Fig%2010_New%2010-29-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-07",
      "references": [
        "https://doi.org/10.1021/acs.energyfuels.9b00780"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biotrickle Filtration of Trihalomethanes",
      "description": "This study involves the use of biofiltration, which is a control technique to degrade trihalomethanes using a bioreactor containing living material to capture and biologically degrade pollutants. Common uses include processing waste water, capturing harmful chemicals or silt from surface runoff, and microbiotic oxidation of contaminants in air. \n\nThis dataset is associated with the following publication:\nMezgebe, B., G. Sorial, D. Wendell, and E. Sahle-Demessie. Effectiveness of biosurfactant for the removal of trihalomethanes by biotrickling filter.   Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Inc., Hoboken, NJ, USA, 1(1): 12031, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1418809",
      "keyword": [
        "Biotrickling Filter",
        "Biodegradation",
        "Chloroform",
        "Dichlorobromomethane",
        "fungi",
        "Microbial Analysis",
        "trihalomethanes"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "BTF_PPR3_Supplemental material.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418809/BTF_PPR3_Supplemental%20material.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biotrickling_THMs- Removal efficiency_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1418809/Biotrickling_THMs-%20Removal%20efficiency_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-01",
      "references": [
        "https://doi.org/10.1002/eng2.12031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1418809/documents/Data%20Dictionary_BiotrickleFiltration.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Investigation of Factors Controlling PM2.5 Variability across the South Korean peninsula during KORUS-AQ",
      "description": "Data collected for this research provides information on mixing layer heights at Olympic Park during the KORUS-AQ field campaign. \n\nThis dataset is associated with the following publication:\nJordan, C., J. Crawford, A. Beyersdorf, T. Eck, H. Halliday, B. Nault, L. Chang, J. Park, R. Park, G. Lee, H. Kim, J. Ahn, S. Cho, H.J. Shin, J.H. Lee, J. Jung, D. Kim, M. Lee, T. Lee, A. Whitehill, J. Szykman, M. Schueneman, P. Campuzano-Jost, J. Jimenez, J. DiGangi, G. Diskin, B. Anderson, R. Moore, L. Ziemba, M. Fenn, J. Hair, R. Kuehn, R. Holz, G. Chen, K. Travis, M. Shook, D. Peterson, K. Lamb, and J. Schwarz. Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, 8(1): 28, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517607",
      "keyword": [
        "KORUS-AQ",
        "pm 2.5",
        "air quality",
        "Korea"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "accessURL": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://doi.org/10.1525/elementa.424"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of Colloidal-size Copper based pesticides",
      "description": "Data set provides the characterization of colloidal and nano-size copper pesticides, including properties related to their environmental fate, transport, sorption and degradation parameters. The study will inform whether nanoformulations can be evaluated within the current pesticide regulatory framework. \n\nThis dataset is associated with the following publication:\nTegenaw, A., G.A. Sorial, E. Sahle-Demessie, and C. Han. Characterization of colloid-size copper-based pesticide and its potential ecological implications..   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 253: 278-287, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1506122",
      "keyword": [
        ": Agriculture",
        "bioavailability",
        "Colloidal stability",
        "Cu2O pesticide",
        "Exposure pathways"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Ayu_Cu-NPs_Supplemental Data_PPR3_Research.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506122/Ayu_Cu-NPs_Supplemental%20Data_PPR3_Research.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-02",
      "references": [
        "https://doi.org/10.1016/j.envpol.2019.07.036",
        "https://pasteur.epa.gov/uploads/10.23719/1506122/documents/Ayu_Cu-NPs_Supplemental%20Data_PPR3_Research.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506122/documents/Data%20Dictionary_Copper_Nanopesticide.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Carbonaceous particulate matter emitted from a pellet-fired biomass boiler",
      "description": "This data examines the chemical composition of particulate matter (PM) emitted from outdoor pellet boilers. Pellet boilers are often used in homes to generate hot water or heat.  The emissions of these boilers are compared with other hot water and heating technologies. Carbon composition of the emissions is the main focus. \n\nThis dataset is associated with the following publication:\nHays, M., J. Kinsey, I. George, W. Preston, C. Singer, and B. Patel. Carbonaceous particle matter emitted from a pellet-fired biomass boiler.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND,  536, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517593",
      "keyword": [
        "Pellets",
        "outdoor boilers",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "biomass burning",
        "Combustion Emissions",
        "polycyclic aromatic hydrocarbons"
      ],
      "contactPoint": {
        "fn": "Michael Hays",
        "hasEmail": "mailto:hays.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mdpi.com/2073-4433/10/9/536",
          "accessURL": "https://www.mdpi.com/2073-4433/10/9/536",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.mdpi.com/2073-4433/10/9/536/s1",
          "accessURL": "https://www.mdpi.com/2073-4433/10/9/536/s1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-28",
      "references": [
        "https://doi.org/10.3390/atmos10090536"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScID A-c2g5: 2019 Kastury IVIVC Pb-phosphate Pb XANES Linear combination data Table",
      "description": "Changes in Pb speciation in phosphoric acid amended soil are detailed in the dataset. Pb speciation was determined utilizing X-ray absorption spectroscopy coupled with linear combination fitting to decipher the distribution of various Pb phases. Paired soil samples before and after treatment with phosphoric acid were examined and compared with bioavailability data determined by collaborators. \n\nThis dataset is associated with the following publication:\nKastury, F., S. Placitu, J. Boland, R.R. Karna, K.G. Scheckel, E. Smith, and A.L. Juhasz. Relationship between Pb relative bioavailability and bioaccessibility in phosphate amended soil: Uncertainty associated with predicting Pb immobilization efficacy using in vitro assays.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 131: 104967, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503334",
      "keyword": [
        "metal bioavailability",
        "lead immobilzation",
        "synchrotron speciation",
        "relative bioavailability",
        "phosphate amendments"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "ScID A-c2g5 Table 2 Kastury IVIVC Pb-phosphate XANES LCF.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503334/ScID%20A-c2g5%20Table%202%20Kastury%20IVIVC%20Pb-phosphate%20XANES%20LCF.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-23",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.104967"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ambient Ozone and PM2.5 levels and miRNA expression-version 1.23.2020",
      "description": "The dataset contains ambient air pollution data and circulating miRNA data of subjects from the CADEE study. \n\nThis dataset is associated with the following publication:\nChen, H., Y. Xu, A. Rappold, D. Diaz-Sanchez, and H. Tong. Effects of ambient ozone exposure on circulating extracellular vehicle microRNA levels in coronary artery disease patients.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 83(9): 351-362, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517616",
      "keyword": [
        "air pollutants",
        "pm2.5",
        "Ozone",
        "miRNA",
        "beta blocker",
        "repeated measures",
        "mixed effect model"
      ],
      "contactPoint": {
        "fn": "Hao Chen",
        "hasEmail": "mailto:chen.hao@epa.gov"
      },
      "distribution": [
        {
          "title": "datasets for miRNA CADEE -ScienceHub-1.23.2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517616/datasets%20for%20miRNA%20CADEE%20-ScienceHub-1.23.2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-23",
      "references": [
        "https://doi.org/10.1080/15287394.2020.1762814"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental Quality Index",
      "description": "An Environmental Quality Index (EQI) for all counties in the United States for the time period 2000-2005 was developed which incorporated data from five environmental domains: air, water, land, built, and socio-demographic. The EQI was developed in four parts: domain identification; data source identification and review; variable construction; and data reduction using principal components analysis (PCA). The methods applied provide a reproducible approach that capitalizes almost exclusively on publically-available data sources.  The primary goal in creating the EQI is to use it as a composite environmental indicator for research on human health. A series of peer reviewed manuscripts utilized the EQI in examining health outcomes. This dataset is not publicly accessible because: This series of papers are considered Human health research - not to be loaded onto ScienceHub. It can be accessed through the following means: The EQI data can be accessed at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: EQI data, metadata, formats, and data dictionary all available at website. \n\nThis dataset is associated with the following publications:\nGray, C., L. Messer, K. Rappazzo, J. Jagai, S. Grabich, and D. Lobdell. The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): e0203301, (2018).\nPatel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005.   Archives of Public Health. BioMed Central Ltd, London,  UK, 76(60): 1, (2018).\nGray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 166: 529-536, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1407608",
      "keyword": [
        "environmental quality",
        "Ambient air quality",
        "water quality",
        "land quality",
        "built environment",
        "sociodemographic quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2017-08-23",
      "references": [
        "https://doi.org/10.1371/journal.pone.0203301",
        "https://doi.org/10.1186/s13690-018-0306-0",
        "https://doi.org/10.1016/j.envres.2018.06.020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://edg.epa.gov/data/Public/ORD/NHEERL/EQI"
      },
      "accessRights": "public"
    },
    {
      "title": "CADEE input data for exposure models ",
      "description": "input data for air pollution exposure models. \n\nThis dataset is associated with the following publication:\nBreen, M., S.Y. Chang, M. Breen, Y. Xu, V. Isakov, S. Arunachalam, M.S. Carraway, and R. Devlin. Fine-Scale Modeling of Individual Exposures to Ambient PM2.5, EC, NOx, CO for the Coronary Artery Disease and Environmental Exposure (CADEE) Study.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 11(1): 65, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506086",
      "keyword": [
        "air pollution exposure",
        "fine particulate matter (PM2.5)",
        "gaseous emissions",
        "Exposure modeling"
      ],
      "contactPoint": {
        "fn": "Michael Breen",
        "hasEmail": "mailto:breen.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "home_building_characteristics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506086/home_building_characteristics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_questionnaire_data.XLSX",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506086/daily_questionnaire_data.XLSX",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_microenvironment_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506086/daily_microenvironment_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-21",
      "references": [
        "https://doi.org/10.3390/atmos11010065"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Suen et al. Uterine Epithelial Differentiation Patterns Induced by Neonatal Estrogen",
      "description": "Table 1. Antibodies used for immunohistochemistry.\nTable 2. Incidence of uterine glandular epithelial lesions over time following neonatal estrogen exposure (GEN or DES)\nTable 3. Immunohistochemical expression of differentiation markers in the uterine epithelium following neonatal estrogen exposure (GEN or DES). \n\nThis dataset is associated with the following publication:\nSuen, A., W. Jefferson, C. Williams, and C. Wood. Differentiation patterns of uterine carcinomas and precursor lesions induced by neonatal estrogen exposure in mice.   TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA,  46(5): 574-596, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1423207",
      "keyword": [
        "estrogen",
        "differentiation",
        "early-life exposure",
        "cancer",
        "Susceptibility"
      ],
      "contactPoint": {
        "fn": "Charles Wood",
        "hasEmail": "mailto:wood.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Suen et al_Tables 1-3.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423207/Suen%20et%20al_Tables%201-3.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-30",
      "references": [
        "https://doi.org/10.1177/0192623318779326"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Developing IDF curves from dynamically downscaled WRF model fields to examine extreme precipitation events in three Eastern U.S. urban areas",
      "description": "Data used to produce figures for the manuscript. \n\nThis dataset is associated with the following publication:\nJalowska, A., and T. Spero. Developing PIDF Curves From Dynamically Downscaled WRF Model Fields to Examine Extreme Precipitation Events in Three Eastern U.S. Metropolitan Areas.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 124(24): 13895-13913, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503050",
      "keyword": [
        "Extreme Precipitation",
        "WRF",
        "IDF curves",
        "Storm Water Management"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "SH_figure4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SH_figure5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure5.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SH_figure6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure6.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SH_figure7.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure7.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SH_figure2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SH_figure3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/SH_figure3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-19",
      "references": [
        "https://doi.org/10.1029/2019jd031584"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503050/documents/data%20dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "RARE Dataset",
      "description": "Wipe sampling variables (such as wipe wetting solvent, pesticide concentration effects, commercial products, number of wipes per tested surface) were evaluated to determine their potential effects on method performance and how they may alter surface recoveries. \n\nThis dataset is associated with the following publication:\nWillison, S., D. Stout, A. Mysz, J. Starr, D. Tabor, B. Wyrzykowska-Ceradini, J. Nardin, E. Morris, and E. Snyder. The impact of wipe sampling variables on method performance associate with indoor pesticide misuse and highly contaminated areas.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 655: 539-546, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1500942",
      "keyword": [
        "pesticides",
        "sampling and analysis",
        "Wipe Sampling",
        "indoor contamination"
      ],
      "contactPoint": {
        "fn": "Stuart Willison",
        "hasEmail": "mailto:willison.stuart@epa.gov"
      },
      "distribution": [
        {
          "title": "Pesticide Wipe Variable Dataset_sciencehub_6-25-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500942/Pesticide%20Wipe%20Variable%20Dataset_sciencehub_6-25-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2018.11.128"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake cyanoHAB occurrence",
      "description": "ESA Envisat MERIS 300mx300m raster ocean color data using cyanobacteria index (CI) algorithm. \n\nThis dataset is associated with the following publication:\nCoffer, M., B. Schaeffer, J. Darling, E. Urquhart, and W. Salls. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 111: 105976, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504084",
      "keyword": [
        "remote sensing",
        "Harmful Algal Blooms",
        "cyanobacteria",
        "water quality",
        "inland waters"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pasteur.epa.gov/commons/10.23719/1504084/Coffer_dataForPublication.zip",
          "accessURL": "https://pasteur.epa.gov/commons/10.23719/1504084/Coffer_dataForPublication.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-01",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2019.105976"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data used in study",
      "description": "This file contains land cover and water chemistry data. \n\nThis dataset is associated with the following publication:\nSmucker, N.J., A. Kuhn , M.A. Charpentier, C.J. Cruz-Quinones, C.M. Elonen , S.B. Whorley, T.M. Jicha , J.R. Serbst , B.H. Hill , J.D. Wehr, and J. Lake. Quantifying Urban Watershed Stressor Gradients and Evaluating How Different Land Cover Datasets Affect Stream Management.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA, 57(3): 683-695, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517591",
      "keyword": [
        "urban",
        "nutrients",
        "nitrogen",
        "chloride",
        "water quality",
        "land cover",
        "watersheds",
        "Impervious cover",
        "nutrient criteria",
        "watershed integrity",
        "coastal watersheds",
        "landscape green infrastructure"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Smucker_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517591/Smucker_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-13",
      "references": [
        "https://doi.org/10.1007/s00267-015-0629-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full set of calculated values related to the journal article: \"Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents\"",
      "description": "This Excel file contains all of the calculated values associated with the journal article: \"Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents\". \n\nThis dataset is associated with the following publication:\nVane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents.   Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD,   UK, 95(3): 495-512, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504215",
      "keyword": [
        "organic solvents",
        "solvents",
        "membranes",
        "recovery",
        "pervaporation",
        "vapor permeation",
        "reclamation"
      ],
      "contactPoint": {
        "fn": "Leland Vane",
        "hasEmail": "mailto:vane.leland@epa.gov"
      },
      "distribution": [
        {
          "title": "Design Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504215/Design%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-21",
      "references": [
        "https://doi.org/10.1002/jctb.6264"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Calculated values for Figures in journal article: \"Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents\"",
      "description": "This Excel file contains the values used to create the figures in the journal article \"Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents\". \n\nThis dataset is associated with the following publication:\nVane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents.   Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD,   UK, 95(3): 495-512, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504214",
      "keyword": [
        "organic solvents",
        "solvents",
        "membranes",
        "recovery",
        "pervaporation",
        "vapor permeation",
        "reclamation"
      ],
      "contactPoint": {
        "fn": "Leland Vane",
        "hasEmail": "mailto:vane.leland@epa.gov"
      },
      "distribution": [
        {
          "title": "Calculated Values for Graphs in Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504214/Calculated%20Values%20for%20Graphs%20in%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-21",
      "references": [
        "https://doi.org/10.1002/jctb.6264"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pyrethroid exposures and intake doses",
      "description": "Pyrethroid exposures and intake doses. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: No contains PII, but all raw data have been provided in the paper (without PII). Format: Contains PII; however all raw data are provided in the paper (without PII). \n\nThis dataset is associated with the following publication:\nMorgan, M. Dietary Pyrethroid Exposures and Intake Doses for 188 Duplicate-Single Solid Food Items Consumed by North Carolina Adults.   Toxics. MDPI AG, Basel,  SWITZERLAND, 8(1): 6, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517620",
      "keyword": [
        "diet",
        "adults",
        "North Carolina Insecticides",
        "insecticides",
        "food",
        "exposure",
        "intake dose",
        "humans"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "watershed integrity",
      "description": "Index of Watershed Integrity (IWI) and Index of Catchment Integrity (ICI) was developed by research team lead by Scott Leibowitz in the Western Ecology Division\nThe Center for Medicare and Medicaid Services (CMS) databases are protected health data. Access to this data will need to be requested through the CMS.gov. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact authors. Format: R files, SAS files, excel, CSV. \n\nThis dataset is associated with the following publication:\nJagai, J., A. Krajewski, M. Jimenez, M. Murphy, S. Leibowitz, and D. Lobdell. Watershed integrity and associations with gastrointestinal illness in the United States.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 17(6): 978-988, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502625",
      "keyword": [
        "watershed integrity",
        "catchment integrity",
        "gastrointestinal illness",
        "gastrointestinal symptoms"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2017-10-16",
      "references": [
        "https://doi.org/10.2166/wh.2019.060"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrant Solids Arsenic & Raw Data Link",
      "description": "This dataset includes the elemental composition of 28 hydrant flush solids collected during routine hydrant flushing events in some of the utilities studied. The link to all remaining raw data (publicly accessible through the US EPA's Arsenic Demo website) is also provided. \n\nThis dataset is associated with the following publication:\nTriantafyllidou, S., D. Lytle, A. Chen, L. Wang, T. Sorg, and C. Muhlen. Patterns of Arsenic Release in Distribution Systems.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 1(4): e1149, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503389",
      "keyword": [
        "hydrant flush solids",
        "arsenic",
        "Elemental composition",
        "iron",
        "non-conservative contaminant",
        "accumulation",
        "Release",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "Hydrant Solids Arsenic & Raw Data Link.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503389/Hydrant%20Solids%20Arsenic%20%26%20Raw%20Data%20Link.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-06",
      "references": [
        "https://doi.org/10.1002/aws2.1149"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Safety Light Corps sediment and Cs sorption dataset",
      "description": "Dataset contains: sediment characterization (textural analysis, percent water content, percent organic content) from Susquehanna River sediments, radionuclide activities, and results from cesium sorption batch reactor experiments. \n\nThis dataset is associated with the following publication:\nRatliff, K., A. Mikelonis, and J. Duffy. Characterizing cesium sorption in freshwater settings using fluvial sediments and characteristic water chemistries.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 253: 7, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504037",
      "keyword": [
        "radionuclide",
        "fate and transport",
        "cesium",
        "surface water",
        "sorption"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "cation-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504037/cation-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "kinetic-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504037/kinetic-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "radionuclide-activity.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504037/radionuclide-activity.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub_data_dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504037/SciHub_data_dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sediment-characterization.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504037/sediment-characterization.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-03",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2019.109688"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Decay of infectious adenovirus and coliphages in freshwater habitats is differentially affected by ambient sunlight and the presence of indigenous protozoa communities",
      "description": "This data set describes changes in concentrations of somatic and F+ coliphages and adenovirus in freshwater under the influence of different biotic and abiotic factors. \n\nThis dataset is associated with the following publication:\nMcMinn, B., E. Rhodes, E. Webster, and A. Korajkic. Decay of infectious adenovirus and coliphages in freshwater habitats is differentially affected by ambient sunlight and the presence of indigenous protozoa communities.   JOURNAL OF VIROLOGY. American Society for Microbiology, Washington, DC, USA, 17: 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503858",
      "keyword": [
        "coliphage",
        "Human Adenovirus type 2",
        "decay",
        "sunlight",
        "aquatic biota"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "Lake Harsha phage adenovirus data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503858/Lake%20Harsha%20phage%20adenovirus%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-22",
      "references": [
        "https://doi.org/10.1186/s12985-019-1274-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "On the Limit to the Accuracy of Regional Air Quality Models",
      "description": "Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/NERL/CED researchers to the manuscript “On the Limit to the Accuracy of Regional Air Quality Models”. \n\nThis dataset is associated with the following publication:\nRao, S.T., H. Luo, M. Astitha, C. Hogrefe, V. Cover, and R. Mathur. On the limit to the accuracy of regional-scale air quality models.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 20(3): 1627–1639, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503967",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503967/sitecompare_daily_o3_doe_conus36_sf_1990_2010.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://doi.org/10.5194/acp-20-1627-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503967/documents/HogrefeChristian_LimitToAccuracy_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ predicted concentration file",
      "description": "CMAQ predicted concentration file. \n\nThis dataset is associated with the following publication:\nLi, Q., R. Borge, G. Sarwar, D. de la Paz, B. Gantt, J. Domingo, C. Cuevas, and A. Saiz-Lopez. Impact of halogen chemistry on air quality in coastal and continental Europe: application of CMAQ model and implication for regulation.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 19(24): 15321-15337, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503740",
      "keyword": [
        "bromine",
        "iodine",
        "Ozone",
        "atmospheric chemistry",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm",
          "accessURL": "https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_A_201607_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503740/COMBINE_O3_A_201607_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_B_201607_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503740/COMBINE_O3_B_201607_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_C_201607_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503740/COMBINE_O3_C_201607_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GRIDCRO2d_USGS_LAT_LON.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503740/GRIDCRO2d_USGS_LAT_LON.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-30",
      "references": [
        "https://doi.org/10.5194/acp-19-15321-2019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503740/documents/SarwarGolam_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Significant Ground-level Ozone Attributed to Lightning-induced Nitrogen Oxides during Summertime over the Mountain West States",
      "description": "This link provides the description and the data files that were used to create the tables and figures in the product. \n\nThis dataset is associated with the following publication:\nKang, D., R. Mathur, G. Pouliot, R. Gilliam, and D. Wong. Significant ground-level ozone attributed to lightning-induced nitrogen oxides during summertime over the Mountain West States.   npj Climate and Atmospheric Science. Springer Nature Group, New York, NY,  3: 6, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517658",
      "keyword": [
        "Mountain West states",
        "LiDAR",
        "Lightning NOx emissions",
        "Ozone",
        "air quality",
        "NOx emissions"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/3246375",
          "accessURL": "https://zenodo.org/record/3246375",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-14",
      "references": [
        "https://doi.org/10.1038/s41612-020-0108-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Field_Publication_Summary",
      "description": "dissolved phosphorous losses. \n\nThis dataset is associated with the following publication:\nNi, X., Y. Yuan, and W. Liu. Impact Factors and Mechanisms of Dissolved Reactive Phosphorus (DRP) Losses From Agricultural Fields: A Review and Synthesis Study in the Lake Erie Basin.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 714: 136624, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1506138",
      "keyword": [
        "DRP loss",
        "Lake Erie",
        "agricultural conservation",
        "soil properties"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Field_publication_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506138/Field_publication_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.136624"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Massachusetts Birth defects data",
      "description": "Input datasets on Massachusetts Birth defects data will not be made accessible to the public since they include individual-level data with PII. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The tabulated output data is found in the manuscript. Input data can be obtained from Application process from the owners of the data (Massachusetts Department of Public Health). More details can be found here: https://www.mass.gov/guides/available-public-health-research-data-sets#vital-records. Format: Input datasets on Massachusetts Birth defects data will not be made accessible to the public since they include individual-level data with PII. Output data are all available in tabulated form within the published manuscript (e.g., results of regression models, measures of central tendency, population characteristics, etc.). \n\nThis dataset is associated with the following publication:\nKaufman, J., M. Wright, A. Evans, Z. Rivera-Núñez, A. Meyer, and M. Narotsky. Associations between Disinfection By-Product Exposures and Musculoskeletal Birth Defects.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 4(1): eo81, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1503411",
      "keyword": [
        "Disinfection Byproducts (DBPs)"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2019-02-14",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000081"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Remediation produces long-term changes in soil lead bioavailability in a mouse model",
      "description": "Remediation produces long-term changes in soil lead bioavailability in a mouse model. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples.  All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released.  While the City location is listed in the publication, the specific location of the site is not. There are currently on-going additional studies by USEPA and USDA that would be impacted if the site identifiers were release, which requires this information to be protected. The public can access the data, which are provided in the publication and presented in tables and figures within the publication. \n\nThis dataset is associated with the following publication:\nBradham, K., G. Diamond, C. Nelson, M. Noerpel, K. Scheckel, B. Elek, R. Chaney, Q. Ma, and D. Thomas. Long-Term in Situ Reduction in Soil Lead Bioavailability Measured in a Mouse Model.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(23): 13908–13913, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502441",
      "keyword": [
        "lead",
        "bioavailability",
        "soil amendments",
        "soil"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2018-04-01",
      "references": [
        "https://doi.org/10.1021/acs.est.8b04684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting oral relative bioavailability of arsenic in soil from in vitro bioaccessibility",
      "description": "Total, bioavailable  and bioaccessible arsenic levels in soil data generated from EPA regional samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the non personally identifiable data through the journal (Geosciences) publisher (MDPI).  The journal is open access and does not require a subscription. Format: Total, bioavailable  and bioaccessible arsenic levels in soil data generated from EPA regional samples. \n\nThis dataset is associated with the following publication:\nDiamond, G.L., K. Bradham , W.J. Brattin, M. Burgess , S. Griffin , C. Hawkins , A.L. Juhasz, J.M. Klotzbach, C. Nelson , Y.W. Lowery, K. Scheckel , and D. Thomas. Predicting oral relative bioavailability of arsenic in soil from in vitro bioaccessibility.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(4): 165-173, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502627",
      "keyword": [
        "soil",
        "arsenic",
        "bioavailabilty",
        "Bioaccessibility"
      ],
      "contactPoint": {
        "fn": "Clay Nelson",
        "hasEmail": "mailto:nelson.clay@epa.gov"
      },
      "distribution": [],
      "modified": "2015-09-10",
      "references": [
        "https://doi.org/10.1080/15287394.2015.1134038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tools for Open Source, Subnational CGE Modeling with an Illustrative Analysis of Carbon Leakage Data Set",
      "description": "Code and data to reproduce the results and datasets from \"Tools for Open Source, Subnational CGE Modeling with an Illustrative Analysis of Carbon Leakage\" by Andrew Schreiber and Thomas F. Rutherford, in the Journal of Global Economic Analysis. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517825",
      "keyword": [
        "computable general equilibrium"
      ],
      "contactPoint": {
        "fn": "Andrew Schreiber",
        "hasEmail": "mailto:schreiber.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://jgea.org/ojs/index.php/jgea/article/view/91",
          "accessURL": "https://jgea.org/ojs/index.php/jgea/article/view/91",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-30",
      "references": [
        "https://dx.doi.org/10.21642/jgea.040201af"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Secondary Organic Aerosols from Aromatic Hydrocarbons and their Contribution to Fine Particulate Matter in Atlanta, Georgia",
      "description": "Tracers of secondary organic aerosols (SOA) from thirteen aromatic hydrocarbons were quantified in laboratory smog chamber experiments. Class-specific SOA tracers emerged, including 2,3-dihydroxy-4-oxo-pentatonic acid (DHOPA) from monoaromatic volatile organic compounds (VOCs), phthalic acid from naphthalene and 1-methylnaphthalene, and methyl-nitrocatechol isomers from o,m,p-cresol oxidation. Organic carbon mass fractions (fSOC) for these and other tracers were determined and extend the SOA tracer method widely used to apportion biogenic SOC. The extended SOA tracer model was applied to evaluate the sources of SOC in Atlanta, GA during summer 2015 and winter 2016 after modifying the chamber-derived fSOC¬ values to reflect SOA yields and local VOC levels (fSOC’). Monoaromatic, diaromatic, and cresol SOC contributed an average of 24%, 8%, and 0.12% of organic carbon (OC) mass during summer and 17%, 5%, and 0.27% during winter, respectively. Cresol SOC peaked during winter and was highly correlated with levoglucosan (r=0.93, p<0.001), consistent with it originating from biomass burning. Together, aromatic, biogenic, and biomass burning derived SOC accounted for an average of 77% and 28% of OC in summer and winter, respectively. The new understanding of SOA composition from aromatic VOCs advances the tracer-based method by including important precursors of SOC and enables a better understanding of the sources of atmospheric aerosol. \n\nThis dataset is associated with the following publication:\nAl-Naiema, I.M., J. Offenberg, C.J. Madler, M. Lewandowski, J. Kettler, T. Fang, and E.A. Stone. Secondary Organic Aerosols from Aromatic Hydrocarbons and their Contribution to Fine Particulate Matter in Atlanta, Georgia.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 223: 117227, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504200",
      "keyword": [
        "source apportionment",
        "Aromatic compounds",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Al Naiema Figures 1-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504200/Al%20Naiema%20Figures%201-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-14",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2019.117227"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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      },
      "accessRights": "public"
    },
    {
      "title": "Mapping Aedes aegypti and Ae. albopictus vector mosquito distribution in Brownsville, Texas",
      "description": "Data supports the publication \"Mapping Aedes aegypti (Diptera: Culicidae) and Aedes albopictus Vector Mosquito Distribution in Brownsville, TX\". We investigated the spatiotemporal dynamics of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) mosquito trap captures in Brownsville, TX, using high-resolution land cover, socioeconomic, and meteorological data. We modeled mosquito trap counts using a Bayesian hierarchical mixed-effects model with spatially correlated residuals. The models indicated an inverse relationship between temperature and mosquito trap counts for both species, which may be due to the hot and arid climate of southern Texas. The temporal trend in mosquito populations indicated Ae. aegypti populations peaking in the late spring and Ae. albopictus reaching a maximum in winter. Our results indicated that seasonal weather variation, vegetation height, human population, and land cover determine which of the two Aedes species will predominate. \n\nThis dataset is associated with the following publication:\nMyer, M., C. Fizer, K. McPherson, A. Neale, A. Pilant, A. Rodriguez, P. Whung, and J. Johnston. Mapping Aedes aegypti (Diptera: Culicidae) and Aedes albopictus Vector Mosquito Distribution in Brownsville, TX.   JOURNAL OF MEDICAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 57(1): 231–240, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1503723",
      "keyword": [
        "risk maps",
        "City of Brownsville",
        "model",
        "Aedes aegypti",
        "Aedes albopictus",
        "Spatiotemporal",
        "West Nile",
        "vector-borne disease",
        "arboviral",
        "Bayesian"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
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          "title": "BrownsvilleData_SciHub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503723/BrownsvilleData_SciHub.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503723/PriorityBoundary.shp.xml",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503723/GridOverlay_Compiled_WithDaymet.csv",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503723/Brownsville_R_and_GIS.zip",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-14",
      "references": [
        "https://doi.org/10.1093/jme/tjz132"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
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    {
      "title": "Data from \"Air pollution control strategies directly limiting national health damages in the US\", by Ou et al.",
      "description": "This file describes the dataset used in Ou et al., \"Air pollution control strategies directly limiting national health damages in the US.\"\n\nThis work used the Global Change Assessment Model (GCAM) with state-level representation of the U.S. energy system (GCAM-USA). GCAM and GCAM-USA are developed and released by the University of Maryland/Pacific Northwest National Laboratory Joint Global Change Research Center (JGCRI). For further details, see the GCAM documentation: jgcri.github.io/gcam-doc. The model source code is available at github.com/JGCRI/gcam-core.\n\nA modified version of GCAMv4.3 was used for this analysis. Source code and input data specific for this paper are available upon request. \n\nThis dataset contains Excel spreadsheets and an R script that link to comma-separated values (CSV) files that were extracted from the model output. The spreadsheets and scripts show the data and reproduce each of the figures in the paper. \n\nThis dataset is associated with the following publication:\nOu, Y., J. West, S. Smith, C. Nolte, and D. Loughlin. Air pollution control strategies directly limiting national health damages in the US..   Nature Communications. Nature Publishing Group, London,  UK, 11: 957, (2020).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:094"
      ],
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      "keyword": [
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504251/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ou2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504251/Ou2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-23",
      "references": [
        "https://doi.org/10.1038/s41467-020-14783-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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          }
        ]
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      "accessRights": "public"
    },
    {
      "title": "Ozone data for \"Ozone-related asthma exacerbation emergency department visits in the US in a warming climate,\" by Nassikas et al.",
      "description": "This dataset contains near-surface ozone concentrations simulated using the Community Multiscale Air Quality (CMAQ) model for the period 2036-2045 under two future climate scenarios and using a 2040 projection for air pollutant emissions.\nThe data were used in a manuscript by Nassikas et al., published in Environmental Research in 2020. \n\nThis dataset is associated with the following publication:\nNassikas, N., K. Spangler, N. Fann, C. Nolte, P. Dolwick, T. Spero, P. Sheffield, and G. Willenius. Ozone-related asthma emergency department visits in the US in a warming climate.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 183: 109206, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504243",
      "keyword": [
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "brown.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504243/brown.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504243/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-10",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.109206"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating Lightning NOX Production in CMAQ: Evolution of Scientific Updates",
      "description": "The dataset contains lightning produced column NO from different schemes with different parameters and the resulting surface ozone mixing ratios by incorporating different lightning production schemes. \n\nThis dataset is associated with the following publication:\nKang, D., K. Pickering, D. Allen, K. Foley, C. Wong, R. Mathur, and S. Roselle. Simulating lightning NO production in CMAQv5.2: evolution of scientific updates.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 12(7): 3071–3083, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503426",
      "keyword": [
        "Lightning NOx emissions",
        "Ozone",
        "air quality",
        "NOx emissions"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/LTNG_COLUMN_NO_hNLDN_July.gz.tar",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/NLDNstrike_RCtot_R1_2002_2014.csv",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/NLDNstrike_RCtot_R5_2002_2014.csv",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/NLDNstrike_RCtot2002_2014.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "NLDNstrike_RCtot_R3_2002_2014.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/NLDNstrike_RCtot_R3_2002_2014.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503426/DataDictionary.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2019-02-22",
      "references": [
        "https://doi.org/10.5194/gmd-12-3071-2019"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PAH Published Dataset Data In Brief",
      "description": "PAH method development and sample collection. \n\nThis dataset is associated with the following publication:\nWallace, M., J. Pleil, D. Whitaker, and K. Oliver. Dataset of polycyclic aromatic hydrocarbon recoveries from a selection of sorbent tubes for thermal desorption-gas chromatography/mass spectrometry analysis.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 29: 105252, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503816",
      "keyword": [
        "polycyclic aromatic hydrocarbon",
        "thermal desorption",
        "carbograph",
        "tenax",
        "XRO-440",
        "gas chromatography/mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [
        {
          "title": "PAH Published Dataset_Data in brief.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503816/PAH%20Published%20Dataset_Data%20in%20brief.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2019-04-30",
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        "https://doi.org/10.1016/j.dib.2020.105252"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of the Emission Characteristics of SVOCs from Household Articles Using Group-Contribution Methods",
      "description": "The attached dataset, including data dictionary, provides all the EPA-generated data for the publication Estimation of the Emission Characteristics of SVOCs from Household Articles Using Group Contribution Methods” by Cody K. Addington, Katherine A. Phillips, and Kristin K. Isaacs. \n\nThis dataset is associated with the following publication:\nAddington, C., K. Phillips, and K. Isaacs. Estimation of the Emission Characteristics of SVOCs from Household Articles Using Group Contribution Methods.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(1): 110-119, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504288",
      "keyword": [
        "plasticizers",
        "Phthalates",
        "SVOCs",
        "chemical emission",
        "human exposure modeling",
        "Building materials",
        "ExpoCast",
        "Exposure Assessment"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Phthalates_02062020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504288/ScienceHub_Phthalates_02062020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-06",
      "references": [
        "https://doi.org/10.1021/acs.est.9b06118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil taxonomic assessment data, urban and referrence soil profiles",
      "description": "By comparing urban to pre-urban soils we quantified major shifts in horizon occurrence and ordering. These shifts have meaning for ecosystem function as horizons represent suites of biological, physical, and chemical properties. \n\nThis dataset is associated with the following publication:\nHerrmann, D., L. Schifman, and W. Shuster. Widespread loss of intermediate soil horizons in urban landscapes.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 115(26): 6751-6755, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407673",
      "keyword": [
        "urban soil taxonomic assessments",
        "urban soils",
        "ecosystem services",
        "vertical structure",
        "soil horizons",
        "urbanization"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Code and data_VertStructureOfUrbanSoils.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407673/Code%20and%20data_VertStructureOfUrbanSoils.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-02",
      "references": [
        "https://doi.org/10.1073/pnas.1800305115"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Direct potable reuse microbial risk assessment manuscript: 2018",
      "description": "The quantitative microbial risk assessment (QMRA) approach applied to the evaluations presented in this publication was described previously in a peer-reviewed published paper. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518331",
      "keyword": [
        "Risk Assessment",
        "Secondary data"
      ],
      "contactPoint": {
        "fn": "Sharon Nappier",
        "hasEmail": "mailto:nappier.sharon@epa.gov"
      },
      "distribution": [
        {
          "title": "Soller_2018_ScienceHub upload.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518331/Soller_2018_ScienceHub%20upload.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-26",
      "references": [
        "https://dx.doi.org/10.1016/j.watres.2017.10.034"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohio Vital Statistics Birth and Autism Data",
      "description": "Input datasets on Ohio Birth and Autism will not be made accessible to the public due to the fact that they include individual-level data with PII. Output data are all available in tabulated form within the published manuscript. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Input data can be obtained from Applications from owners of the data (Children's Hospital and Ohio Department of Health).  The tabulated output data is found in the manuscript. Format: Input datasets on Ohio Birth and Autism will not be made accessible to the public due to the fact that they include individual-level data with PII. Output data are all available in tabulated form within the published manuscript (e.g., results of regression models, measures of central tendency, population characteristics, etc.). \n\nThis dataset is associated with the following publication:\nKaufman, J., M. Wright, G. Rice, N. Connolly, K. Bowers, and J. Anixt. AMBIENT OZONE AND FINE PARTICULATE MATTER EXPOSURES AND AUTISM SPECTRUM DISORDER IN METROPOLITAN CINCINNATI, OHIO.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 171: 218-227, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1500888",
      "keyword": [
        "Birth Data",
        "autism spectrum disorder",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2017-04-06",
      "references": [
        "https://doi.org/10.1016/j.envres.2019.01.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Resolving ambient organic aerosol formation and aging pathways with simultaneous molecular composition and volatility observations",
      "description": "Dataset contains CMAQv5.3-predicted hourly average concentrations of organic aerosol and other species (HO2, NO, NO3, O3, OH) for Hyytiala, Finland (location of BAECC field campaign) and Centreville, AL, USA (main location of SOAS field campaign) for 2016. How species were created from raw CMAQ output is defined in Table S2 of the paper this data supports. CMAQ v5.3 code is also linked here. The specific configuration of CMAQ is described in the manuscript associated with this data. \n\nThis dataset is associated with the following publication:\nLee, B., E. D'Ambro, F. Lopez-Hilfiker, S. Schobesberger, C. Mohr, M. Zawakowicz, J. Liu, J. Shilling, W. Hu, B. Palm, J. Jimenez, L. Hao, A. Virtanen, H. Zhang, A. Goldstein, H. Pye, and J. Thornton. Resolving Ambient Organic Aerosol Formation and Aging Pathways with Simultaneous Molecular Composition and Volatility Observations.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 4(3): 391-402, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504593",
      "keyword": [
        "Monoterpene",
        "boreal forest",
        "HOM",
        "highly oxidized molecules",
        "source apportionment",
        "volatility",
        "Aging",
        "isoprene",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "soa.baecc.c20190618.v53.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504593/soa.baecc.c20190618.v53.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "soa.soas.c20190618.v53.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504593/soa.soas.c20190618.v53.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.3379043",
          "accessURL": "https://doi.org/10.5281/zenodo.3379043",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-18",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.9b00302"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ_DATA",
      "description": "Data is CMAQ (Community Multiscale Air Quality) air quality modeling data contained in 12km grids (covering the eastern US) and 36 km grids (covering the entire US) for the years 2004, 2005, and 2006. Each CMAQ grid contains a concentration value for an air pollutant (fine particulate matter - PM2.5), and this concentration value can be used to determine the impact of air pollution concentrations on hospital emergency department admissions for asthma, and hospital inpatient admissions for asthma, myocardial infraction (MI), and heart failure (HF) in Baltimore Maryland. CMAQ data is in both *.IOAPI (Input/Output Applications Programming Interface) format and *.csv (comma-separated value) format. Health data was used in this analysis, but the health data cannot be released because it contains personally identifiable information (PII) on living individuals, and is protected by the Privacy Act of 1974 (as amended), the Health Insurance Portability and Accountability Act (HIPPA) of 1996 (as amended), and is exempt from Freedom of Information Act (FOIA) requests. The health dataset contains information about human research subjects, and access to it was limited by the Institutional Review Board (IRB) decision of 19 February 2014 (Protocol #13-76), and updated on 8 December 2016. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The following folder has been set aside to access this (CMAQ_Data-only) data: ftp://newftp.epa.gov/EPADataCommons/ORD/NERL_SED/EHCAB/Hall_ORD-028187/. Format: Data is CMAQ (Community Multiscale Air Quality) air quality modeling data contained in 12km grids (covering the eastern US) and 36 km grids (covering the entire US) for the years 2004, 2005, and 2006. Each CMAQ grid contains a concentration value for an air pollutant (fine particulate matter - PM2.5), and this concentration value can be used to determine the impact of air pollution concentrations on hospital emergency department admissions for asthma, and hospital inpatient admissions for asthma, myocardial infraction (MI), and heart failure (HF) in Baltimore Maryland. CMAQ data is in both *.IOAPI (Input/Output Applications Programming Interface) format and *.csv (comma-separated value) format. Health data was used in this analysis, but the health data cannot be released because it contains personally identifiable information (PII) on living individuals, and is protected by the Privacy Act of 1974 (as amended), the Health Insurance Portability and Accountability Act (HIPPA) of 1996 (as amended), and is exempt from Freedom of Information Act (FOIA) requests. The health dataset contains information about human research subjects, and access to it was limited by the Institutional Review Board (IRB) decision of 19 February 2014 (Protocol #13-76), and updated on 8 December 2016. \n\nThis dataset is associated with the following publication:\nBraggio, J., E. Hall, S. Weber, and A. Huff. Contribution of Satellite-Derived Aerosol Optical Depth PM2.5 Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 11(2): 209, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503115",
      "keyword": [
        "Aerosol Optical Depth (AOD)",
        "Air Quality Model",
        "Air Quality System (AQS)",
        "asthma",
        "case crossover",
        "Community Multi-scale Air Quality (CMAQ) model",
        "fine particulate matter (PM2.5)",
        "heart failure (HF)",
        "Hierarchical Bayesian Model (HBM)",
        "myocardial infarction (MI)",
        "hospitalization",
        "emergency department"
      ],
      "contactPoint": {
        "fn": "Eric Hall",
        "hasEmail": "mailto:hall.erics@epa.gov"
      },
      "distribution": [],
      "modified": "2010-06-16",
      "references": [
        "https://doi.org/10.3390/atmos11020209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PCB Food Bioaccessibility",
      "description": "Bioaccessibility dat for PCBs and food types. \n\nThis dataset is associated with the following publication:\nStarr, J., W. Li, S. Graham, H. Shen, and F. Waldron. Is food type important for in vitro post ingestion bioaccessibility models of polychlorinated biphenyls sorbed to soil.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 704: 135421, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518366",
      "keyword": [
        "Polychlorinated biphenyls",
        "Bioaccessibility",
        "ingestion",
        "food",
        "soil"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [
        {
          "title": "PCB data for ScienceHub_food_no_carbon_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518366/PCB%20data%20for%20ScienceHub_food_no_carbon_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.135421"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518366/documents/PCB%20data%20for%20ScienceHub_food_no_carbon_Final.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "This Excel sheet contains 1344 Issues from 2018 posted to the OpenSwmm List Serv.",
      "description": "The first row of the Excel spreadsheet describes the data - ID number, Metamorphic Relation Topic, Title of Comment, Type of Comment,  Content of the Comment.  Our original dataset contained names but these were removed from the dataset.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503672",
      "keyword": [
        "Metamorphic testing",
        "metamorphic relations",
        "user validation",
        "association rules",
        "SWMM"
      ],
      "contactPoint": {
        "fn": "Michelle Simon",
        "hasEmail": "mailto:simon.michelle@epa.gov"
      },
      "distribution": [
        {
          "title": "2018postsnos.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503672/2018postsnos.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lag of Bioretention Planters ",
      "description": "Lag delay of four bioretention planters that are located in Hoboken, NJ. Each storm has four observations, one for each planter. Each row has the characteristics that were investigated for whether they contributed to the lag of each planter. \n\nThis dataset is associated with the following publication:\nNissen, K., M. Borst, and E. Fassman-Beck. Bioretention planter performance measured by lag and capture.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 34(25): 5176-5184, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517610",
      "keyword": [
        "bioretention",
        "flow-through planters",
        "Stormwater control measure"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "LagBioretentionPlantersData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517610/LagBioretentionPlantersData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-30",
      "references": [
        "https://doi.org/10.1002/hyp.13927"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Granular Activated Carbon Adsorption of Carcinogenic Volatile Organic Compounds at Low Influent Concentrations",
      "description": "Breakthrough data in granular activated carbon columns for carcinogenic volatile organic compounds. \n\nThis dataset is associated with the following publication:\nKempisty, D., R.S. Summers, G. Abulikemu , N. Deshpande, J. Rebholz, K. Roberts , and J. Pressman. Granular Activated Carbon Adsorption of Carcinogenic Volatile Organic Compounds at Low Influent Concentrations.   Journal AWWA. American Water Works Association, Denver, CO, USA, 1(2): e1128, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500030",
      "keyword": [
        "natural organic matter",
        "carcinogenic volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "Jonathan Pressman",
        "hasEmail": "mailto:pressman.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "SourceData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500030/SourceData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-09",
      "references": [
        "https://doi.org/10.1002/aws2.1128"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NLCD & EnviroAtlas %IC for selected metropolitan areas",
      "description": "Several files of percentage impervious cover (%IC) from 30-m and 1-m data.  The individual files contain %IC for different spatial support units. \n\nThis dataset is associated with the following publication:\nWickham, J., S.V. Stehman, and M. Mehaffey. Accuracy assessment of NLCD 2011 percent impervious cover for selected USA metropolitan areas.   International Journal of Applied Earth Observation and Geoinformation. Elsevier BV, AMSTERDAM,  NETHERLANDS, 84: 101955, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504035",
      "keyword": [
        "Impervious cover",
        "watersheds",
        "water quality",
        "regression modeling",
        "bias"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "ScID-A-pg53.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504035/ScID-A-pg53.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-03",
      "references": [
        "https://doi.org/10.1016/j.jag.2019.101955"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Glaberman et al 2019 Chemosphere",
      "description": "This dataset contains toxicity endpoint and mode-of-action information used in an analysis of comparative toxicity and surrogate data approaches to ecological risk assessment of amphibians. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518369",
      "keyword": [
        "amphibians",
        "ecological risk assessment",
        "ecotoxicology",
        "fish",
        "Frogs",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Catherine Aubee",
        "hasEmail": "mailto:aubee.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "Glaberman et al 2019 dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518369/Glaberman%20et%20al%202019%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-04",
      "references": [
        "https://dx.doi.org/10.1016/j.chemosphere.2019.06.166"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BDSNP Module for Improved Soil NO Emission Estimates for CMAQ Model, Conterminous USA",
      "description": "This model product contains the source code for the updated Berkeley-Dalhousie Soil NOx Parameterization (BDSNP) module implementation with the Community Multiscale Air Quality (CMAQ) model. The update incorporates dynamic representation of the soil nitrogen pool on a day to day basis from the Environmental Policy Integrated Climate (EPIC) biogeochemical model. Sample input data and three sets of model outputs covering the conterminous United States are included with this data set. The three sets of outputs represent three different applications of the CMAQ as described in Rasool et al. (2016). The BDSNP module helps to improve the timing and spatial distribution of estimates of soil nitric oxide (NO) emissions through parameterization of soils, meteorology, land use, and mineral nitrogen availability from both fertilization and deposition. The simulations use a 12 km spatial grid resolution for CMAQ modeling for July 2011. \n\nThis dataset is associated with the following publication:\nRasool, Q., R. Zhang, B. Lash, D. Cohan, E. Cooter, J. Bash, and L. Lamsal. Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 9: 3177-3197, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518370",
      "keyword": [
        "soil",
        "Nitric Oxide (NO)",
        "CMAQ",
        "BDSNP",
        "EPIC",
        "Agricultural",
        "fertilizer",
        "Biome"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1351",
          "accessURL": "https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1351",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2016-11-15",
      "references": [
        "http://www.geosci-model-dev.net/9/3177/2016/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Two Stage Inverse Demand - Chesapeake Bay Fisheries",
      "description": "Contains dockside value and harvest. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517775",
      "keyword": [
        "fishery demand"
      ],
      "contactPoint": {
        "fn": "Christopher Moore",
        "hasEmail": "mailto:moore.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "model data .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517775/model%20data%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-05-31",
      "references": [
        "https://dx.doi.org/10.1007/s00181-017-1309-3"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517775/documents/data%20dictionary%20.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Focus group responses for VSL alternative terms",
      "description": "This dataset is individual responses from focus group participants rating the desirability of alternative terms to describe the economic tradeoff between income and small changes in mortality risk. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506065",
      "keyword": [
        "mortality risk valuation",
        "terminology",
        "focus group",
        "value of statistical life"
      ],
      "contactPoint": {
        "fn": "Paul Dockins",
        "hasEmail": "mailto:dockins.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "FG_ranking_data_for_pub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506065/FG_ranking_data_for_pub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-22",
      "references": [
        "https://dx.doi.org/10.1093/reep/rey022"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "phytoplankton/zooplankton NLA 2012 for L&O paper",
      "description": "Observations of phytoplankton, chlorophyll, and zooplankton from 2017 NLA. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518380",
      "keyword": [
        "zooplankton",
        "phytoplankton",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Lester Yuan",
        "hasEmail": "mailto:yuan.lester@epa.gov"
      },
      "distribution": [
        {
          "title": "phyt.qa.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518380/phyt.qa.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "zoop.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518380/zoop.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "phyt.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518380/phyt.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-03",
      "references": [
        "https://dx.doi.org/10.1002/lno.10955"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518380/documents/data%20dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Kosnik et al",
      "description": "The zip file contains all data and scripts used for the material presented in the manuscript by Kosnik et al. \n\nThis dataset is associated with the following publication:\nKosnik, M., J. Strickland, S. Marvel, D. Wallis, K. Wallace, A. Richard, D. Reif, and T. Shafer. Concentration-Response Evaluation of ToxCast Compounds for Multivariate Activity Patterns of Neural Network Function.   Archives of Toxicology. Springer, New York, NY, USA, 94: 469-484, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504294",
      "keyword": [
        "ToxCast",
        "neurotoxicity screening",
        "Microelectrode array",
        "in vitro",
        "electrophysiology"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "MEA_All_Data_Scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504294/MEA_All_Data_Scripts.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-10",
      "references": [
        "https://doi.org/10.1007/s00204-019-02636-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model data sets",
      "description": "These are large gridded computational fluid dynamics model point data. This dataset is not publicly accessible because: File type and size. It can be accessed through the following means: A request is being placed with the EDG Administrative Group to host the large files on an accessible server. Format: This data set is over 7 GB and an incompatible data format (.dat). \n\nThis dataset is associated with the following publication:\nHagler , G., and W. Tang. Simulation of rail yard emissions transport to the near-source environment.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 7(3): 469-476, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517627",
      "keyword": [
        "near-source",
        "rail yard",
        "Dispersion",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [],
      "modified": "2014-04-14",
      "references": [
        "https://doi.org/10.1016/j.apr.2015.11.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517627/documents/RailYardStudy-DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "The Influence of Incubation Time on Adenovirus Quantitation in A549 Cells by Most Probable Number",
      "description": "This dataset contains the data described in Cashdollar et al. 2016. The Influence of Incubation Time on Adenovirus Quantitation in A549 Cells by Most Probable Number. J Virol. Methods 237: 200-203. \n\nThis dataset is associated with the following publication:\nCashdollar, J., E. Huff, H. Ryu, and A. Grimm. The influence of incubation time on adenovirus quantitation in A549 cells by most probable number.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 237: 200-203, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407545",
      "keyword": [
        "adenovirus",
        "cell culture",
        "UV treatment",
        "virus recovery",
        "adenovirus quantitation",
        "adenovirus disinfection"
      ],
      "contactPoint": {
        "fn": "Jennifer Cashdollar",
        "hasEmail": "mailto:cashdollar.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Data file for SciHub-Cashdollar 2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407545/Data%20file%20for%20SciHub-Cashdollar%202016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-11-23",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2016.09.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sister Study - Natural Features and General Health",
      "description": "Natural features within 250m and 1250m from residences and their relationships with general health. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact the Sister Study, National Institute of Environmental Health Sciences. Format: Natural features within 250m and 1250m from residences and their relationships with general health. \n\nThis dataset is associated with the following publication:\nTsai, W., R.A. Silva, M. Nash, F. Cochran, S. Prince, D. Rosenbaum, A.A. D'Aloisio, L. Jackson, M. Mehaffey, A. Neale, D.P. Sandler, and T. Buckley. How do natural features in the residential environment influence women's self-reported general health? Results from cross-sectional analyses of a U.S. national cohort.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 183: 109176, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504279",
      "keyword": [
        "eco-health",
        "natural features",
        "general health",
        "climate",
        "us national cohort",
        "Gradient Boosted Regression Trees"
      ],
      "contactPoint": {
        "fn": "Timothy Buckley",
        "hasEmail": "mailto:buckley.timothy@epa.gov"
      },
      "distribution": [],
      "modified": "2019-08-07",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.109176"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Overview and characteristics of air quality in the Seoul Metropolitan Area during the KORUS-AQ campaign",
      "description": "Data collected for this research provides information on mixing layer heights and in-situ formaldehyde concentrations at Olympic Park during the KORUS-AQ field campaign. \n\nThis dataset is associated with the following publication:\nKim, H., J. Gil, J. Jung, A. Whitehill, J. Szykman, G. Lee, D. Kim, S. Cho, J. Ahn, J. Hong, and M. Park. Factors controlling surface ozone in the Seoul Metropolitan Area During the Korus AQ campaign.   Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA,  NA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518367",
      "keyword": [
        "air quality",
        "Korea",
        "seoul",
        "KORUS-AQ",
        "Formaldehyde",
        "atmospheric mixed layer",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://www.elementascience.org/article/10.1525/elementa.444/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distributional Impacts of Energy-Heat Cross-Subsidization Data Set",
      "description": "Data to reproduce the results from \"Distributional Impacts of Energy-Heat Cross-Subsidization\" by Corbett Grainger, Andrew Schreiber and Fan Zhang, in Energy Policy. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518392",
      "keyword": [
        "computable general equilibrium"
      ],
      "contactPoint": {
        "fn": "Andrew Schreiber",
        "hasEmail": "mailto:schreiber.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "belarus_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518392/belarus_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-01",
      "references": [
        "https://dx.doi.org/10.1016/j.enpol.2018.10.005"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518392/documents/data_dict.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Brachionus leydigii (Monogononta: Ploima) reported from the western basin of Lake Erie",
      "description": "Brachionus leydigii (Monogononta: Ploima) reported from the western basin of Lake Erie. This dataset is not publicly accessible because: 1 specimen was reported; images available in the manuscript; water quality data and station information for EPA monitoring station where specimen was collected is available online via EPA's CDX GLENDA portal. It can be accessed through the following means: 1 specimen was reported; images available in the manuscript; water quality data and station information for EPA monitoring station where specimen was collected is available online via EPA's CDX GLENDA portal. Format: 1 specimen was reported; images available in the manuscript; water quality data and station information for EPA monitoring station where specimen was collected is available online via EPA's CDX GLENDA portal. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518406",
      "keyword": [
        "zooplankton",
        "Great Lakes",
        "New species record",
        "Biological monitoring",
        "brachionus leydigii"
      ],
      "contactPoint": {
        "fn": "Jacqueline Rivera",
        "hasEmail": "mailto:adams.jacqueline@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-07",
      "references": [
        "https://dx.doi.org/10.1016/j.jglr.2018.07.010"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Decontamination efficacy and environmental data for tests using low concentration hydrogen peroxide vapor to inactivate Ebola virus surrogates MS2 and Phi6 phage",
      "description": "The data include temperature and relative humidity for the positive controls; T, RH, and hydrogen peroxide concentrations that the test coupons were exposed to in each experiment; and then the plaque forming unit data. The PFU data for each experiment are in separate Excel files.  Each file with the PFU data shows the PFU recovered for every material, timepoint, and replicate; for both positive controls and test coupons. The log reduction calculations are also included in each file. \n\nThis dataset is associated with the following publication:\nWood, J., W. Richter, M. Sunderman, M. Calfee, S. Serre, and R. Mickelsen. Evaluating the Environmental Persistence and Inactivation of MS2 Bacteriophage and the Presumed Ebola Virus Surrogate Phi6 Using Low Concentration Hydrogen Peroxide Vapor.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  10, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504116",
      "keyword": [
        "Ebola virus",
        "bacteriophage MS2",
        "Phi6",
        "hydrogen peroxide vapor",
        "Decontamination"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504116/data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plaque forming unit data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504116/Plaque%20forming%20unit%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-19",
      "references": [
        "https://doi.org/10.1021/acs.est.9b06034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of TiO2 and ZnO-conjugated with carbon nanotubes and graphene and growth inhibition of algae T. pseudonana exposed to these nanohybrids  ",
      "description": "The dataset describes physical and chemical characterization of four nanohybrids and their growth inhibition effect on alga Thalassiosira pseudonana. \n\nThis dataset is associated with the following publication:\nBaek, S., S.H. Joo, C. Su, and M. Toborek. Toxicity of ZnO/TiO2-conjugated carbon-based nanohybrids on the coastal marine alga Thalassiosira pseudonana.   ENVIRONMENTAL TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 35(1): 87-96, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504166",
      "keyword": [
        "o",
        "nanohybrids",
        "Thalassiosira pseudonana",
        "toxicity",
        "growth inhibition",
        "Carbon nanotube",
        "graphene oxide",
        "metal oxides"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Sung Hee Joo Raw data_nanohybrids & algae 719.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504166/Sung%20Hee%20Joo%20Raw%20data_nanohybrids%20%26%20algae%20719.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-01",
      "references": [
        "https://doi.org/10.1002/tox.22845"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Intra- and inter-laboratory evaluation of an assay of soil arsenic relative bioavailability in mice",
      "description": "Data were generated from US EPA Superfund site soil samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples.  All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released.  The public can access the data, which are provided in the publication and presented in tables and figures within the publication. \n\nThis dataset is associated with the following publication:\nBradham, K., C. Herde, P. Herde, A.L. Johasz, K. Herbin-Davis, B. Elek, A. Farthing, G.L. Diamond, and D.J. Thomas. Intra- and Interlaboratory Evaluation of an Assay of Soil Arsenic Relative Bioavailability in Mice.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. American Chemical Society, Washington, DC, USA, 68(9): 2615-2622, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504125",
      "keyword": [
        "bioavailability",
        "arsenic",
        "soil",
        "in vivo"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2019-05-01",
      "references": [
        "https://doi.org/10.1021/acs.jafc.9b06537"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for firefighters' absorption of PAHs and benzene using controlled residential fires",
      "description": "Dataset for firefighters' absorption of PAHs and benzene using controlled residential fires. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: By contacting CDC/NIOSH. Format: The dataset contains concentrations of toxicants in breath and urine collected from study participants. A member of the public could see summarized data without PII. \n\nThis dataset is associated with the following publication:\nFent, K.W., C. Toennis, D. Sammons, S. Robertson, S. Bertke, A. Calafat, J. Pleil, A. Wallace, S. Kerber, D. Smith, and G. Horn. Firefighters' Absorption of PAHs and VOCs During Controlled Residential Fires by Job Assignment and Fire Attack Tactic.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30: 338-349, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502534",
      "keyword": [
        "firefighters",
        "breath",
        "urine",
        "biomarker",
        "polycyclic aromatic hydrocarbon (PAH)",
        "benzene"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [],
      "modified": "2018-07-19",
      "references": [
        "https://doi.org/10.1038/s41370-019-0145-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2019: Elliott et al. - NOx and NH3 Isotopic Signature Review Paper Dataset",
      "description": "This dataset provides all known and relevant isotopic source signatures (d15N) of NOx and NH3 sources through the fall of 2018.  It includes relevant sources contributing to nitrogen deposition (e.g., mobile source NOx, ammonia emissions from agriculture, etc.). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518391",
      "keyword": [
        "nitrogen",
        "stable isotope",
        "Antrhopogenic Sources",
        "biogenic emissions",
        "NOx",
        "NH3",
        "d15N"
      ],
      "contactPoint": {
        "fn": "Justin Coughlin",
        "hasEmail": "mailto:coughlin.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "NOx and NH3 isotopic signature.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518391/NOx%20and%20NH3%20isotopic%20signature.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-30",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2018.12.177"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Midwest_LULC_Change_CCDC_data",
      "description": "time-series analyses of land cover change in the Midwestern USA. \n\nThis dataset is associated with the following publication:\nBerhane, T., C. Lane, S. Mengistu, J. Christensen, H. Golden, S. Qiu, Z. Zhu, and Q. Wu. Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017).   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(5): 754, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517586",
      "keyword": [
        "land use",
        "buffer",
        "water",
        "land cover"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "CCDC-Manuscript-Data_STICKS-SCIHUB_FINAL.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517586/CCDC-Manuscript-Data_STICKS-SCIHUB_FINAL.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-30",
      "references": [
        "https://doi.org/10.3390/rs12050754"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TestingAppendices",
      "description": "These data sets are time, precipitation, inflow, outflow.and depth for various LID studies.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:096"
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      "identifier": "https://doi.org/10.23719/1503032",
      "keyword": [
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        "LID",
        "SCM",
        "Modeling Testing"
      ],
      "contactPoint": {
        "fn": "Michelle Simon",
        "hasEmail": "mailto:simon.michelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Boone Porous Pavement Reportmas20191024.docx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503032/FS10sub.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "mdbioswalesub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503032/mdbioswalesub.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "villanovainfiltrenchsub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503032/villanovainfiltrenchsub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "washingtondotsub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503032/washingtondotsub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2020-01-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nanohybrids effects on E. Coli ",
      "description": "The data include: \n\nSEM and TEM micrographs of four types of NHs before and after their exposure to E. coli for 6 h; \n\nRaman and TGA analyses of four types of NHs;\n\nAntibacterial effect of four different types of NHs on E. coli growth curve and growth inhibition at 6 h;\n\nThe amount of ROS release from E. coli exposed to four different types of NHs over time;\n \nThe FT-IR analysis of four different types of NHs with and without E. coli cells. \n\nThis dataset is associated with the following publication:\nBaek, S., S.H. Joo, C. Su, and M. Toborek. Antibacterial effects of graphene- and carbon-nanotube-based nanohybrids on Escherichia coli: implications for treating multidrug-resistant bacteria.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 247: 214-223, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503899",
      "keyword": [
        "Antibacterial activity",
        "E. coli (DH5α)",
        "nanohybrids",
        "Carbon nanotube",
        "graphene oxide",
        "Antibacterial-resistant bacteria"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Sung Hee Joo Raw data_nanohybrids & e.coli 619.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503899/Sung%20Hee%20Joo%20Raw%20data_nanohybrids%20%26%20e.coli%20619.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-05",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2019.06.077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US National Lakes Assessment",
      "description": "US National Lake Assessment data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518429",
      "keyword": [
        "EPA National Lake Assessment"
      ],
      "contactPoint": {
        "fn": "Amina Pollard",
        "hasEmail": "mailto:pollard.amina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-02",
      "references": [
        "https://dx.doi.org/10.1002/lno.10967"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluoride removal by modified biochar",
      "description": "This data set includes physicochemical properties of douglas fir biochar (DF-BC), dairy manure biochar (DM500) and calcium modified dairy manure biochar (Ca-DM500) such as SEM images and EDS analysis of the Ca-DM500 and surface area analysis (BET) of all three biochars.  \n\nThe data set also includes:\nPhysiochemical properties and characteristics of the biochars A) DRIFTS analysis, B) Point of zero charge, C) Particle size, D) pH, and E) X-ray diffraction.\n\nBatch tests to investigate fluoride removal behavior including initial screening tests, pH effects, isotherms, kinetics co-existing ion competition and continuous flow columns. \n\nIsotherm data were modeled using Langmuir, Freundlich and Redlich-Peterson Models. Column data were modeled using the Thomas model (Thomas 1944). \n\nThis dataset is associated with the following publication:\nWallace, A.R., C. Su, Y. Choi, E. Kan, and W. Sun. Removal of Fluoride from Water Using a Calcium-Modified Dairy Manure-Derived Biochar.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 146(12): 1-10, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518431",
      "keyword": [
        "Fluoride",
        "Calcium hydroxide-coated biochar",
        "Sorption isotherm",
        "Removal kinetics",
        "Regeneration and reuse."
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "BET SSA A and B DM500.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/BET%20SSA%20A%20and%20B%20DM500.docx",
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          "title": "Desorption Raw data.xls",
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          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 and 3 Initial Screening and pH Screening.xlsx",
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          "title": "Figure 4 Kinetics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%204%20Kinetics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 XRD raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%202%20XRD%20raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5 Competitive ions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%205%20Competitive%20ions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6 and 7 Ca-DM Columns and Thomas Model.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%206%20and%207%20Ca-DM%20Columns%20and%20Thomas%20Model.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6 and 7 Raw DM Columns and Thomas model.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%206%20and%207%20Raw%20DM%20Columns%20and%20Thomas%20model.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S1 pH PZC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%20S1%20pH%20PZC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S2 Isotherm Models Raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%20S2%20Isotherm%20Models%20Raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S3 FTIR raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figure%20S3%20FTIR%20raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures S4 and S5 SEM-EDS.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518431/Figures%20S4%20and%20S5%20SEM-EDS.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-17",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0001812"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used to produce figures and tables",
      "description": "The included data set are the data used to create figures/tables in the paper. \n\nThis dataset is associated with the following publication:\nChen, A., L. Wang, T. Sorg, and D. Lytle. Removing Arsenic and Co-Occurring Contaminants from Drinking Water by Full-Scale Ion Exchange and Point-of-Use/Point-Of Entry Reverse Osmosis Systems.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 172: 115455, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517660",
      "keyword": [
        "ion exchange",
        "reverse osmosis",
        "arsenic",
        "nitrate",
        "natural organic matter",
        "Co-Occurring Contaminants"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 1 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%201%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%202_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4a data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%204a%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4b data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%204b%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%205%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517660/Figure%203%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-23",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.115455"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US estuaries",
      "description": "GIS Shapefile with distance to shore and window width calculated for each US estuary and subestuary. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., and M. Myer. Resolvable estuaries for satellite derived water quality within the continental United States.   Remote Sensing Letters. Taylor & Francis Group, London,  UK, 11(6): 535-544, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503841",
      "keyword": [
        "estuary",
        "satellite",
        "water quality",
        "management",
        "ocean color",
        "brackish"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Estuary_CyAN_4_8_2019.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503841/Estuary_CyAN_4_8_2019.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-08",
      "references": [
        "https://doi.org/10.1080/2150704x.2020.1717013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AllMissions_SO_CTD",
      "description": "Data from underwater oil detection technologies are provided (1) A Remote Environmental Monitoring UnitS (REMUS-600) AUV equipped with fluorescence and backscatter SeaOWL UV-A (Oil-in-Water Locator; Sea-Bird Scientific WET Labs Inc.), holographic imager (HoloCam; SeaScan, Inc), hydrographic information, video camera, CTD and a water/oil sampler.  (2) A tethered ROV system (DTG2, Deep Trekker Inc.) equipped with video camera, UviLux (Chelsea Technologies Group, Inc) fluorometer, a CTD and water/oil sampler.  Calibration and validation tests of the sensor suite were conducted at the Coastal Response Research Center flume tank (NH, USA). Oil concentration estimates were verified by chemical analysis of hydrocarbons and particle size analysis (LISST 200X, Sequoia, Inc). Operational performance of the ROV platform and sensors was evaluated at the Ohmsett wave tank (NJ, USA). Field performance of the REMUS and sensor suite was evaluated at natural seeps near Santa Barbara, CA. This dataset is not publicly accessible because: It can be, but PI cannot locate an 'upload data' button. It can be accessed through the following means: PI can provide it to the PI manager for posting. Format: Electronic sensor data from the vehicle missions is provided in an excel spreadsheet",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518409",
      "keyword": [
        "oil spills",
        "spill response technologies"
      ],
      "contactPoint": {
        "fn": "Robyn Conmy",
        "hasEmail": "mailto:conmy.robyn@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation and Comparison of Methods for Measuring Ozone and NO2 Concentrations in Ambient Air during DISCOVER-AQ",
      "description": "NO2 and O3 data from the DISCOVER-AQ field study measured by the United States EPA. \n\nThis dataset is associated with the following publication:\nLong, R., M. Beaver, R. Duvall, J. Szykman, S. Kaushik, K. Kronmiller, M. Wheeler, S. Garvey, and J. Crawford. Evaluation and Comparison of Methods for Measuring Ozone and NO2 Concentrations in Ambient Air during DISCOVER-AQ.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  1-11, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518464",
      "keyword": [
        "air quality",
        "nitrogen dioxide",
        "Ozone",
        "NO2",
        "O3",
        "DISCOVER-AQ"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "accessURL": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-01-06",
      "references": [
        "http://www.awma.org/publications/em-magazine"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Temperature Decrease along Hyporheic Pathlines in a Large River Riparian Zone Dataset - Faulkner",
      "description": "Well sampling data. \n\nThis dataset is associated with the following publication:\nFaulkner, B.R., J.R. Brooks, D.M. Keenan, and K.J. Forshay. Temperature Decrease along Hyporheic Pathlines in a Large River Riparian Zone.   ECOHYDROLOGY. Wiley Interscience, Malden, MA, USA, 13(1): 1-10, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518423",
      "keyword": [
        "Willamette",
        "temperature",
        "Salmonid refuges",
        "River Alcove Habitat",
        "Fluvial islands",
        "Hyporheic zone"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "faulkneretal2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518423/faulkneretal2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-06",
      "references": [
        "https://doi.org/10.1002/eco.2160"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NarrManuscriptData",
      "description": "The dataset contains lab analyzed water chemistry and field collected data from hand held sondes. \n\nThis dataset is associated with the following publication:\nNarr, C.F., H. Singh, P. Mayer, A. Keeley, B. Faulkner, D. Beak, and K.J. Forshay. Quantifying the Effects of Surface Conveyance of Treated Wastewater Effluent on Groundwater, Surface Water, and Nutrient Dynamics in a Large River Floodplain.   ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 129: 123-133, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503039",
      "keyword": [
        "Floodplain",
        "large river",
        "restoration",
        "Levee",
        "flood",
        "water quality",
        "Nutrient loading",
        "Nitrogen and Co-pollutants",
        "biogeochemistry",
        "ecosystem",
        "ecosystem services",
        "Ecosystem Ecology",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Yakima_data_7_17_18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503039/Yakima_data_7_17_18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-01",
      "references": [
        "https://doi.org/10.1016/j.ecoleng.2018.12.030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Science Hub Sulfate Radicals",
      "description": "Activated persulfate (PS) is a common method used to generate sulfate radicals (SO4•-), a powerful oxidant capable of degrading a broad array of environmental contaminants. The reaction of SO4•- with non-target species (i.e., scavenging), contributes significantly to treatment inefficiency. Radical scavenging in this manner has been quantified for non-target chemical species in the aqueous phase but has never been quantified for solid phase media. Kinetic analysis and laboratory methods were developed to quantify the SO4•- scavenging rate constant (k≡S) for alumina, a naturally occurring mineral in soil and aquifer materials. SO4•- were generated in UV- and thermally-activated persulfate (UV-APS, T-APS) batch systems, and the loss of rhodamine B (RhB) served as an indicator of SO4•- activity. k≡S for alumina was 2.42×104 m-2 s-1 and 2.03×104 m-2 s-1 for UV-APS and T-APS oxidative treatment systems, respectively. At [alumina] >5 g L-1, the reaction of SO4•- with solid phase media increased over the aqueous phase reactions with RhB and aqueous scavengers. SO4•- scavenging by solid surfaces was orders of magnitude greater than reaction with the target compound and scavengers in the aqueous phase, underscoring the significant role of solid surfaces in scavenging SO4•-. \n\nThis dataset is associated with the following publication:\nRusevova Crincoli, K., C. Green, and S.G. Huling. Sulfate Radical Scavenging by Mineral Surfaces in Persulfate-Driven Oxidation Systems: Reaction Rate Constants and Implications.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(3): 1955-1962, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518482",
      "keyword": [
        "Surface Scavenging",
        "Kinetic Analysis",
        "Mineral Surfaces",
        "Sulfate radical"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub_sulfate radical.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518482/Science%20Hub_sulfate%20radical.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-26",
      "references": [
        "https://doi.org/10.1021/acs.est.9b06442"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518482/documents/Data%20Dictionary%20for%20SDMP_sulfate%20radical%20scavenging.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data files for radical scavenging studies",
      "description": "There are different audience categories including USEPA Regional staff and ORD research staff that may be interested in the effects of hydroxyl radical scavenging by solid surfaces in heterogeneous oxidative treatment systems. Other technical experts that may use the data to better understand the fate and transport of hydroxyl radicals under various heterogeneous geochemical systems. \n\nThis dataset is associated with the following publication:\nRusevova Crincoli, K., and S.G. Huling. Hydroxyl radical scavenging by solid mineral surfaces in oxidative treatment systems: Rate constants and implications.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 169: 1-9, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518463",
      "keyword": [
        "Hydroxyl Radicals",
        "Surface Scavenging",
        "Kinetic Analysis",
        "Mineral Surfaces"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Wat Res Manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518463/Data%20for%20Wat%20Res%20Manuscript.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-18",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.115240"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518463/documents/Data%20Dictionary%20for%20SDMP_Surface%20Scavenging_Rusevova%20and%20Huling_2019.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Martin & Johnson - Supplementary data",
      "description": "This dataset includes: (i) all sample removal rate predictions for each advanced on-site wastewater treatment system technology we analyzed; and (ii) all sample total life cycle cost predictions from each advanced on-site wastewater treatment system technology we analyzed under each financing scenario (1-3). \n\nThis dataset is associated with the following publication:\nMartin, D., and F. Johnson. Incorporating uncertainty and risk into decision making to reduce nitrogen inputs to impaired waters.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 249: 109380, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503375",
      "keyword": [
        "expert elicitation",
        "Decision analysis",
        "adaptive management",
        "water quality"
      ],
      "contactPoint": {
        "fn": "David Martin",
        "hasEmail": "mailto:martin.davidm@epa.gov"
      },
      "distribution": [
        {
          "title": "martin ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503375/martin%20ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-29",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2019.109380"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Korajkic et al 20xx_Data Set",
      "description": "Geospatial dataset. \n\nThis dataset is associated with the following publication:\nKorajkic, A., B. McMinn, M. Herrmann, M. Sivaganesan, C. Kelty, P. Clinton, M. Nash, and O. Shanks. Viral and Bacterial Fecal Indicators in Untreated Wastewater across the Contiguous United States Exhibit Geospatial Trends.   APPLIED AND ENVIRONMENTAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 86(8): e02967-19, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506128",
      "keyword": [
        "Bacteriophage",
        "Microbial Source Tracking",
        "fecal indicators",
        "wastewater",
        "geospatial"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Korajkic et al 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506128/Korajkic%20et%20al%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-13",
      "references": [
        "https://doi.org/10.1128/aem.02967-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Need for Improved Monitoring of Spatial and Temporal Trends of Reduced Nitrogen",
      "description": "Data in Figure 1 are from publicly available databases including county-level ammonia (NH3) emissions from the US EPA National Emissions Inventory (https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data), ambient ammonium (NH4+) aerosol concentrations from the US EPA Clean Air Status and Trends Network (https://java.epa.gov/castnet/clearsession.do), and ambient NH3 concentrations from the National Atmospheric Deposition Program Ammonia Monitoring Network (AMoN) (http://nadp.slh.wisc.edu/data/AMoN/)\n\nSatellite observations of NH3 from the Infrared Atmospheric Sounding Instrument (IASI V2.2R) shown in Figure 2 are also publicly available (https://en.aeris-data.fr/metadata/?dc9dcce0-9324-451b-8d79-2d6df3094068).\n\nDiurnal profiles of ambient NH3 at different sites across the U.S. are summarized in Figure 3. Data from sites operated by EPA Office of Research and Development are attached as a spreadsheet with accompanying data dictionary.  Greg Beachley (Beachley.gregory) is the contact for data from the Charleston, SC; Beltsville, MD and Bondville, IL sites.  Katherine Benedict (Katherine.Benedict@colostate.edu) is the contact for data from the RMNP; Fort Collins, CO and  Greeley, CO sites. \n\nThis dataset is associated with the following publication:\nPuchalski, M., J. Walker, G. Beachley, M. Zondlo, K. Benedict, R. Grant, B. Schichtel, C. Rogers, A. Leytem, J. Rice, K. Morris, J. Schauer, and R. Wang. Need for Improved Monitoring of Spatial and Temporal Trends of Reduced Nitrogen.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA,  0, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518502",
      "keyword": [
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "NHx_Puchalski et al_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518502/NHx_Puchalski%20et%20al_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data",
          "accessURL": "https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/data/AMoN/",
          "accessURL": "https://nadp.slh.wisc.edu/data/AMoN/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://java.epa.gov/castnet/clearsession.do",
          "accessURL": "https://java.epa.gov/castnet/clearsession.do",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://en.aeris-data.fr/metadata/?dc9dcce0-9324-451b-8d79-2d6df3094068",
          "accessURL": "https://en.aeris-data.fr/metadata/?dc9dcce0-9324-451b-8d79-2d6df3094068",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-03",
      "references": [
        "https://www.awma.org/empastissues"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Long-term trends in reactive N deposition in the U.S.",
      "description": "Data presented in this manuscript are publicly available per the links provided.  These include the US EPA National Emissions Inventory, US EPA Clean Air Status and Trends Network, National Atmospheric Deposition Ammonia Monitoring Network and National Atmospheric Deposition Program Total Deposition Maps. \n\nThis dataset is associated with the following publication:\nBeachley, G., C. Rogers, T. Lavery, J. Walker, and M. Puchalski. Long-term trends in reactive N deposition in the U.S..   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA,  0, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518501",
      "keyword": [
        "Castnet",
        "NADP",
        "ammonia",
        "Reactive Nitrogen",
        "nitrogen oxides",
        "atmospheric deposition",
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gispub.epa.gov/neireport/2014/",
          "accessURL": "https://gispub.epa.gov/neireport/2014/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://java.epa.gov/castnet/clearsession.do",
          "accessURL": "https://java.epa.gov/castnet/clearsession.do",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/data/AMoN/",
          "accessURL": "https://nadp.slh.wisc.edu/data/AMoN/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/committees/tdep/tdepmaps/",
          "accessURL": "https://nadp.slh.wisc.edu/committees/tdep/tdepmaps/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-01",
      "references": [
        "https://www.awma.org/empastissues"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution",
      "description": "A tracer breakthrough curve (BTC) for each sampling station is the ultimate goal of every quantitative hydrologic tracing study, and dataset size can critically affect the BTC. Groundwater-tracing data obtained using in situ automatic sampling or detection devices may result in very high-density data sets. Data-dense tracer BTCs obtained using in situ devices and stored in dataloggers can result in visually cluttered overlapping data points. The relatively large amounts of data detected by high-frequency settings available on in situ devices and stored in dataloggers ensure that important tracer BTC features, such as data peaks, are not missed. Alternatively, such dense datasets can also be difficult to interpret. Even more difficult, is the application of such dense data sets in solute-transport models that may not be able to adequately reproduce tracer BTC shapes due to the overwhelming mass of data. One solution to the difficulties associated with analyzing, interpreting, and modeling dense data sets is the selective removal of blocks of the data from the total dataset. Although it is possible to arrange to skip blocks of tracer BTC data in a periodic sense (data decimation) so as to lessen the size and density of the dataset, skipping or deleting blocks of data also may result in missing the important features that the high-frequency detection setting efforts were intended to detect. Rather than removing, reducing, or reformulating data overlap, signal filtering and smoothing may be utilized but\nsmoothing errors (e.g., averaging errors, outliers, and potential time shifts) need to be considered. Appropriate probability distributions to tracer BTCs may be used to describe typical tracer BTC shapes, which usually include long tails. Recognizing appropriate probability distributions applicable to tracer BTCs can help in understanding some aspects of the tracer migration. \n\nThis dataset is associated with the following publications:\nField, M. Tracer-Test Results for the Central Chemical Superfund Site, Hagerstown, Md. May 2014 -- December 2015. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.\nField, M. On Tracer Breakthrough Curve Dataset Size, Shape, and Statistical Distribution.   ADVANCES IN WATER RESOURCES. Elsevier Science Ltd, New York, NY, USA, 141: 1-19, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518497",
      "keyword": [
        "high-density datasets",
        "tracer-breakthrough curves",
        "data smoothing",
        "downsampling",
        "Probability"
      ],
      "contactPoint": {
        "fn": "Malcolm Field",
        "hasEmail": "mailto:field.malcolm@epa.gov"
      },
      "distribution": [
        {
          "title": "Tracer_Conversion.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518497/Tracer_Conversion.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-25",
      "references": [
        "https://doi.org/10.1016/j.advwatres.2020.103596"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Age Oran Mitochondrial Bioenergetics Dataset",
      "description": "Mitochondrial bioenergetics data collected in various viseral organs across different ages in Brown Norway rats. \n\nThis dataset is associated with the following publication:\nPandya, J., M. Valdez, J. Royland, R. MacPhail, P. Sullivan, and P. Kodavanti. Age- and Organ-specific Differences in Mitochondrial Bioenergetics in Brown Norway Rats.   Journal of Aging Research. Hindawi Publishing Corporation, New York, NY, USA, 2020(ID7232614): 1-11, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504231",
      "keyword": [
        "Aging",
        "Mitochondria Bioenergetics",
        "Enzyme activity",
        "liver",
        "Heart",
        "lung",
        "Susceptibility"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Age-Organ-MitoBioen_A-p2p5_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504231/Age-Organ-MitoBioen_A-p2p5_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-31",
      "references": [
        "https://doi.org/10.1155/2020/7232614"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRB sub-watershed nutrient balances",
      "description": "Data include watershed N export from approximately 25 Willamette River basin tributaries, including information about nitrogen inputs to the watersheds.  Data used for the following paper:  Compton, J.E., Goodwin, K.E., Sobota, D.J. and Lin, J., 2019. Seasonal Disconnect Between Streamflow and Retention Shapes Riverine Nitrogen Export in the Willamette River Basin, Oregon. Ecosystems, pp.1-17.  https://doi.org/10.1007/s10021-019-00383-9. \n\nThis dataset is associated with the following publication:\nCompton, J., K. Goodwin, D. Sobota, and J. Lin. Seasonal disconnect between streamflow and retention shapes riverine nitrogen export in the Willamette River Basin, Oregon.   ECOSYSTEMS. Springer, New York, NY, USA, 23: 1-17, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503171",
      "keyword": [
        "phosphorus",
        "nutrients",
        "watersheds",
        "balance",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Compton_WRB_data_SciHub_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503171/Compton_WRB_data_SciHub_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-26",
      "references": [
        "https://doi.org/10.1007/s10021-019-00383-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data from \"Uncertainty in collocated mobile measurements of air quality\" version 1.1, updated 2020-04-13 ",
      "description": "This is the raw pollutant data collected on August 6, 2014 in the greater Denver, Colorado area by three mobile air pollution platforms.  Data was collected by Aclima, Inc.  This is the raw data used to explore different statistical methods for assessing platform performance and comparability in the publication \"Uncertainty in collocated mobile measurements of air quality\" by Andrew R. Whitehill et al., 2020. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518525",
      "keyword": [
        "air quality",
        "mobile monitoring",
        "nitrogen dioxide",
        "particulate matter",
        "Ozone",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "Aug06_2014_CarData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518525/Aug06_2014_CarData.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518525/documents/AclimaDenver_Aug06_DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT Model Data",
      "description": "These data represent the underlying figures and tables of the manuscript. \n\nThis dataset is associated with the following publication:\nYuan, L., and K.J. Forshay. Using SWAT to Evaluate Streamflow and Lake Sediment Loading in the Xinjiang River Basin with Limited Data.   WATER. MDPI AG, Basel,  SWITZERLAND, 12(1, 39): 1-20, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518425",
      "keyword": [
        "SWAT",
        "soil erosion",
        "Streamflow modeling",
        "sediment yield",
        "Xinjiang River basin",
        "Illinois River Basin",
        "Support Vector Machine"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_for_Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518425/Data_for_Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-10",
      "references": [
        "https://doi.org/10.3390/w12010039",
        "https://www.mdpi.com/2073-4441/12/1/39"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "St.Francis_All_Data",
      "description": "Meterology, hydrologic, and water quality data for the inflow and outflow of a rain garden system treating stormwater runoff from a parking lot and wooded hillslope. The data in this file was used to calibrated, validate, and evaluate a Green Infrastructure performance model for hydrology, hydraulics, and water quality. \n\nThis dataset is associated with the following publication:\nAlikhani, J., C. Nietch, S. Jacobs, W. Shuster, and A. Massoudieh. Modeling and design scenarios analysis of a long-term monitored rain garden for rainfall-runoff reduction to a combined sewer in Cincinnati, OH.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 6(2): 04019016-1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503369",
      "keyword": [
        "low impact development",
        "Green Infrastructure",
        "GIFMod",
        "rain garden",
        "stormwater management",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "St.Francis_All_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503369/St.Francis_All_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-28",
      "references": [
        "https://doi.org/10.1061/jswbay.0000903"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for the manuscript entitled 'A proof of concept study for wastewater reuse using bioelectrochemical processes combined with complementary post-treatment technologies'",
      "description": "N/A. This dataset is not publicly accessible because: All the data for this manuscript were collected and managed by our collaborator, Sejong University in Seoul Korea. It can be accessed through the following means: Dr. Hyunchul Kim is a corresponding author of the relevant journal article and a principal investigator of this collaborative research project. Please contact and request Dr. Kim (animaplus@hanmail.net) for the raw data. Format: N/A. \n\nThis dataset is associated with the following publication:\nKhan, W., J. Nam, H. Woo, H. Ryu, S. Kim, S.K. Maeng, and H. Kim. A proof of concept study for wastewater reuse using bioelectrochemical processes combined with complementary post-treatment technologies.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 5: 1489-1498, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504086",
      "keyword": [
        "Hydrogen Peroxide",
        "microbial electrolysis cells",
        "phycoremediation",
        "advanced oxidation process",
        "trace organic compounds"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [],
      "modified": "2019-07-15",
      "references": [
        "https://doi.org/10.1039/c9ew00358d"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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                "name": "U.S. Government"
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    {
      "title": "Nutrient data for Yuan and Jones 2019",
      "description": "Weekly samples of nutrient concentrations in a small number of Missouri Reservoirs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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        "fn": "Lester Yuan",
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    {
      "title": "coliphage data",
      "description": "Dataset for male-specific and somatic coliphage densities in raw sewage and ambient waters. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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      "keyword": [
        "somatic coliphage",
        "coliphage",
        "male-specific coliphage",
        "raw sewage",
        "viral indicator",
        "ambient waters"
      ],
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        "fn": "Sharon Nappier",
        "hasEmail": "mailto:nappier.sharon@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript ID NIHMS1570710_Data_raw_ambient.xlsx",
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        "https://dx.doi.org/10.1016/j.watres.2018.12.058"
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        "name": "U.S. Environmental Protection Agency",
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            "name": "U.S. Government"
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    {
      "title": "norovirus ambient and model information",
      "description": "1. Paragraph describing where to access the risk models and cryptosporidium data\n2. Excel of norovirus data in ambient water. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1518543",
      "keyword": [
        "water reuse",
        "Quantitative Microbial Risk Assessment",
        "norovirus",
        "cryptosporidium",
        "defacto reuse",
        "indirect potable reuse",
        "direct potable reuse"
      ],
      "contactPoint": {
        "fn": "Sharon Nappier",
        "hasEmail": "mailto:nappier.sharon@epa.gov"
      },
      "distribution": [
        {
          "title": "Soller_2019_ScienceHub upload paragraph.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518543/Soller_2019_ScienceHub%20upload%20paragraph.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Manuscript ID NIHMS1570712_Data_nov ambient.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518543/Manuscript%20ID%20NIHMS1570712_Data_nov%20ambient.xlsx",
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      "references": [
        "https://dx.doi.org/10.1021/acs.est.9b02002"
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        "subOrganizationOf": [
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            "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "Chlorophyll and microcystin data for Yuan and Pollard 2019",
      "description": "Matched chlorophyll a and microcystin measurements from Iowa reservoirs. National Lakes Assessment data available at the provided link. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "fn": "Lester Yuan",
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      },
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        {
          "title": "IAmc.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518544/IAmc.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "IAchl.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518544/IAchl.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
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        "https://dx.doi.org/10.1016/j.hal.2019.02.009"
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    {
      "title": "Clean Air Status and Trends Network (CASTNET) Weekly Ambient Concentrations",
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        "fn": "Melissa Puchalski",
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          "title": "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/site.zip",
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate change impacts and costs to U.S. electricity transmission and distribution infrastructure",
      "description": "Model code and output files for the analysis described in the research product. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518541",
      "keyword": [
        "climate",
        "electricity",
        "infrastructure",
        "transmission",
        "distribution"
      ],
      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "IEc-CC-on-TD-Code-and-Data-2018-09-17.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518541/IEc-CC-on-TD-Code-and-Data-2018-09-17.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.indecon.com/iec-climate-change-trans-dist-article/",
          "accessURL": "https://www.indecon.com/iec-climate-change-trans-dist-article/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-02",
      "references": [
        "https://dx.doi.org/10.1016/j.energy.2020.116899"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate damage functions for estimating the economic impacts of climate change in the United States",
      "description": "Sectoral impact modeling data upon which the climate damage functions are based.  See main paper and supplemental material for additional detail and metadata. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518524",
      "keyword": [
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        "damage",
        "function",
        "impact"
      ],
      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "REEP_ReducedFormData_20180814.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518524/REEP_ReducedFormData_20180814.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://academic.oup.com/reep/article/14/1/25/5699606#supplementary-data",
          "accessURL": "https://academic.oup.com/reep/article/14/1/25/5699606#supplementary-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        "https://dx.doi.org/10.1093/reep/rez021"
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        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "variant 4 TEM",
      "description": "TEM analysis of particle morphology and size. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518520",
      "keyword": [
        "PM combustion emissions",
        "transmission electron microscopy analysis of combustion PM"
      ],
      "contactPoint": {
        "fn": "Robert Giannelli",
        "hasEmail": "mailto:giannelli.bob@epa.gov"
      },
      "distribution": [
        {
          "title": "data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518520/data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2020-04-13",
      "references": [
        "https://dx.doi.org/10.1021/acs.energyfuels.0c00094"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "nTiO2-kaolinite transport dataset",
      "description": "The dataset contains information on TEM-EDX spectra; zeta-potential and hydrodynamic particle size of nTiO2, kaolin, nTiO2-kaolin, nTiO2-kaolin+phosphate, and nTiO2-kaolin+E. Coli + phosphate; breakthrough curves of nTiO2-kaolin nanoaggregates. \n\nThis dataset is associated with the following publication:\nXu, N., Z. Li, X. Huangfu, X. Cheng, C. Christodoulatos, J. Qian, M. Chen, J. Chen, C. Su, and D. Wang. Facilitated transport of nTiO2-kaolin aggregates by bacteria and phosphate in water-saturated quartz sand.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 713: 1-12, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504207",
      "keyword": [
        "EDX spectra",
        "hydrodynamic radius",
        "breakthrough curve",
        "Titanium dioxide (nTiO2)-kaolin nanoaggregates",
        "Escherichia coli (E. coli)",
        "phosphate",
        "transport",
        "Numerical simulation"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Nan Xu nTiO2-kaolinite transport data 2019 updated.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504207/Nan%20Xu%20nTiO2-kaolinite%20transport%20data%202019%20updated.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-15",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.136589"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds",
      "description": "This data documents the results of chamber modeling and chemical transport modeling of the contribution of Intermediate Volatility Organic Compounds to mobile-source organic aerosol formation in California. The data show that IVOCs make up a significant fraction of the total source of secondary organic aerosol in urban environments and that mobile sources make up only about one third to half of the total IVOC emissions. Other urban sources of IVOCs were explored. These data are visualized and presented in the figures published in a peer-reviewed manuscript (with corresponding title) in Atmospheric Chemistry and Physics.\n\nThe raw CMAQ output data are backed up and preserved on the ATMOS supercomputing system at the National Computing Center in Durham, North Carolina. The file location on the ASM server is: /asm/MOD3DEV/bmurphy/Models/cmaq/CMAQ_Ben/Projects/quanyang_181212/data. \n\nThis dataset is associated with the following publication:\nLu, Q., B. Murphy, M. Qin, P.J. Adams, Y. Zhao, H. Pye, C. Efstathiou, C. Allen, and A. Robinson. Simulation of organic aerosol formation during the CalNex study: updated mobile emissions and secondary organic aerosol parameterization for intermediate-volatility organic compounds.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 20(7): 4313–4332, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1505451",
      "keyword": [
        "Intermediate Volatility Organic Compounds (IVOCs)",
        "Condensable PM",
        "CalNex",
        "Mobile sources",
        "volatility basis set",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
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          "title": "fig1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig4 and fig5bc.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig4%20and%20fig5bc.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig5a.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig5a.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6d.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig6d.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6a.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig6a.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6_lat.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig6_lat.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6_lon.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig6_lon.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6b.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/fig6b.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://doi.org/10.5194/acp-20-4313-2020"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1505451/documents/Lu_et_al_Data_Dictionary.docx",
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      },
      "accessRights": "public"
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    {
      "title": "Discerning between infil-excess, saturation-excess runoff regimes",
      "description": "This dataset uses field data to better understand how urban soils may tend toward infiltration- or saturation-excess runoff regimes, what the runoff ratio might be under controlled rainfall forcing, and how different cities may sort out in their general tendency toward one runoff regime or another. \n\nThis dataset is associated with the following publication:\nStewart, R., A. Bhaskar, T. Parolari, D. Herrmann, J. Jian, L. Schifman, and W. Shuster. An analytic approach to ascertain saturation-excess versus infiltration-excess overland flow in urban and reference landscapes.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 33(26): 3349-3363, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503408",
      "keyword": [
        "runoff",
        "overland flow",
        "Infiltration excess",
        "Saturation excess",
        "urban soils",
        "Integrated Urban Water Management"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_WRR_IEOFvSEOF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503408/Data_WRR_IEOFvSEOF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-05",
      "references": [
        "https://doi.org/10.1002/hyp.13562"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Long-Term Monitoring of Acidified Surface Waters",
      "description": "This dataset compiled surface water chemistry data from 1980 to 2024. Data were collected in four regions in the eastern United States (Virginia streams, New York lakes and streams, Maine and New Hampshire lakes, and Vermont lakes). These data are used to calculate trends in surface water chemistry to assess aquatic ecosystem response to changes in sulfur and nitrogen deposition. Water chemistry in this data can be influenced by the ambient flow conditions. To be included in the dataset, sites needed to have regular sampling (at least once per year for 20 years). Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518546",
      "keyword": [
        "Clean Air Act",
        "acid rain",
        "water chemistry",
        "Stream Monitoring",
        "lake monitoring",
        "acid deposition",
        "nitrate",
        "sulfate",
        "acid-base balance"
      ],
      "contactPoint": {
        "fn": "Scott Riley",
        "hasEmail": "mailto:riley.scottm@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Dictionary_2025_9_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518546/Data_Dictionary_2025_9_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Methods_2025_9_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518546/Methods_2025_9_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Site_Information_2025_9_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518546/Site_Information_2025_9_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LTM_Data_2025_9_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518546/LTM_Data_2025_9_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-83.8225 36.4646, -66.5649 36.4646, -66.5649 47.4872, -83.8225 47.4872, -83.8225 36.4646))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518546/documents/Data_Dictionary_2025_9_23.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Managing Alaska’s Road-Dust Problem: A Model for Road Dust–Impacted Regions",
      "description": "Poor air quality in Alaska’s remote communities due to road dust is one of the top environmental concerns of residents in these communities. Most communities are disconnected from the road network, with community roads that are predominantly unpaved. In Alaska, high costs limit widespread paving of roads, leaving communities to rely on alternative dust control strategies. The goals for this study were to assess the magnitude and impact of the dust problem in rural Alaska and use a diversity of experience, including regulatory, research, engineering, and cultural, to develop a road-dust management approach for rural Alaska. The plan incorporates different levels of dust management: institutional controls, road watering, chemical dust suppressants, and road surface stabilization. Geographical zones where use of each different dust management level will be most appropriate are identified based on rainfall frequency. Approximately 50% of Alaska’s communities can manage road dust with institutional controls and road watering. Many of the road-dust management ideas presented are transferable to other global regions that experience similar economic and community access challenges as Alaska. This dataset is not publicly accessible because: All data and codes generated or used during this study are available from the corresponding author by request. It can be accessed through the following means: All data and codes generated or used during this study are available from the corresponding author by request (high-volume sampling results, precipitation data, and potential dust days spreadsheet). Format: Precipitation data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518550",
      "keyword": [
        "air quality",
        "Alaska",
        "rural",
        "Dust",
        "roads",
        "meteorological",
        "Rainfall"
      ],
      "contactPoint": {
        "fn": "Kayla Krauss",
        "hasEmail": "mailto:krauss.kayla@epa.gov"
      },
      "distribution": [],
      "modified": "2020-04-06",
      "references": [
        "https://dx.doi.org/10.1061/jtepbs.0000314"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Knowing Your Audience: A Typology of Smoke Sense Participants to Inform Wildland Fire Smoke Health Risk Communication, 2017 - 2019",
      "description": "Data sets for Knowing Your Audience: A Typology of Smoke Sense Participants to Inform Wildland Fire Smoke Health Risk Communication, including data from the Smoke Sense mobile app collected August 2017 through May 2019. \n\nThis dataset is associated with the following publication:\nHano, M.C., B. Hubbell, L. Wei, S. Prince, and A. Rappold. Knowing Your Audience: A Typology of Smoke Information Seekers to Inform Broader Health Risk Communications.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 8(143): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518408",
      "keyword": [
        "Wildland Fire",
        "Smoke Sense",
        "smoke",
        "citizen science",
        "Risk Communications",
        "mobile device application"
      ],
      "contactPoint": {
        "fn": "Mary Hano",
        "hasEmail": "mailto:hano.maryclare@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518408/Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-29",
      "references": [
        "https://doi.org/10.3389/fpubh.2020.00143"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Membrane Processes for the Separation of Potential Emerging Pollutants ",
      "description": "Membrane Processes for the Separation of Potential Emerging Pollutants -Review Article. \n\nThis dataset is associated with the following publication:\nP. Dharupaneedia, S., N. Sanna Kotrappanavar, M. Nadagouda, K.R. Reddy, S.S.  Shukla, and T. Aminabhavi. Membrane-based Separation of Potential Emerging Pollutants.   SEPARATION AND PURIFICATION TECHNOLOGY. Elsevier Science Ltd, New York, NY, USA, 210: 850-866, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1433379",
      "keyword": [
        "Waste Water Treatment",
        "Membrane",
        "Separation",
        "Pollutants"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "TMA-revised-JEM-2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433379/TMA-revised-JEM-2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-20",
      "references": [
        "https://doi.org/10.1016/j.seppur.2018.09.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1433379/documents/TMA-revised-JEM-2.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Membrane",
      "description": "Membrane Processes for the Separation of Potential Emerging Pollutants -Review Article. \n\nThis dataset is associated with the following publication:\nP. Dharupaneedia, S., N. Sanna Kotrappanavar, M. Nadagouda, K.R. Reddy, S.S.  Shukla, and T. Aminabhavi. Membrane-based Separation of Potential Emerging Pollutants.   SEPARATION AND PURIFICATION TECHNOLOGY. Elsevier Science Ltd, New York, NY, USA, 210: 850-866, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1433835",
      "keyword": [
        "Waste Water Treatment",
        "Membrane",
        "Separation",
        "Pollutants"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "TMA-revised-JEM-2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433835/TMA-revised-JEM-2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-20",
      "references": [
        "https://doi.org/10.1016/j.seppur.2018.09.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1433835/documents/TMA-revised-JEM-2.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Secondary data for study on the Impact of Hurricane Katrina on Southern Louisiana ",
      "description": "Only secondary data was used for this study on the impact of Hurricane Katrina on Southern Louisiana   The data sets  include: land-cover data for Louisiana, social and economic variables for New Orleans and avian species abundance data gathered from the NOAA Coastal Change Analysis Program, US Census and USGS North American Breeding Bird Survey, respectively. \n\nThis dataset is associated with the following publication:\nChuang, W., T. Eason, A. Garmestani, and C. Roberts. Impact of Hurricane Katrina on the Coastal Systems of Southern Louisiana.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 7(68): 01-15, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503742",
      "keyword": [
        "Hurricane Katrina",
        "New Orleans",
        "Disaster Resilience",
        "natural hazards",
        "Social-Ecological Resilience",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "https://coast.noaa.gov/digitalcoast/tools/lca.html",
          "accessURL": "https://coast.noaa.gov/digitalcoast/tools/lca.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.pwrc.usgs.gov/bbs/rawdata/",
          "accessURL": "https://www.pwrc.usgs.gov/bbs/rawdata/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.census.gov/quickfacts/neworleanscitylouisiana",
          "accessURL": "https://www.census.gov/quickfacts/neworleanscitylouisiana",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-30",
      "references": [
        "https://doi.org/10.3389/fenvs.2019.00068"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA data for Lane et al 2020 Water ",
      "description": "QPCR standard curve data and example test sample data. \n\nThis dataset is associated with the following publication:\nLane, M.J., J.N. McNair, R.R. Rediske, S. Briggs, M. Sivaganesan, and R. Haugland. Simplified Analysis of Measurement Data from A Rapid E. coli qPCR Method (EPA Draft Method C) Using A Standardized Excel Workbook.   WATER. MDPI AG, Basel,  SWITZERLAND, 12(3): 775, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517793",
      "keyword": [
        "EPA Draft Method C",
        "Quantitative Polymerase Chain Reaction",
        "standard curve models",
        "quality assurance",
        "E. coli",
        "recreational water quality",
        "Methods development",
        "qPCR",
        "standard curve model"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA data for Lane et al 2020 Water.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517793/EPA%20data%20for%20Lane%20et%20al%202020%20Water.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-07",
      "references": [
        "https://doi.org/10.3390/w12030775"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Testing Appendices",
      "description": "These datasets outline the previously published studies, the parameters measured and optimized, and the results of the PEST optimization of SWMM.\n\nNOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person. This dataset is not publicly accessible because: Data removed from dataset due to revocation. Please refer inquiries regarding this dataset to the listed contact person. It can be accessed through the following means: N/A. Format: N/A. \n\nThis dataset is associated with the following publication:\nPlatz, M., M. Simon, and M. Tryby. Testing of Storm Water Management Model Low Impact Development Modules.   JAWRA. American Water Resources Association, Middleburg, VA, USA, 56(2): 283-296, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503033",
      "keyword": [
        "SWMM",
        "PEST",
        "LID",
        "SCM",
        "Modeling Testing"
      ],
      "contactPoint": {
        "fn": "Michelle Simon",
        "hasEmail": "mailto:simon.michelle@epa.gov"
      },
      "distribution": [],
      "modified": "2018-09-18",
      "references": [
        "https://doi.org/10.1111/1752-1688.12832"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sonde data from 3 experimental lakes in Son of Squeal experiment",
      "description": "High-frequency in situ temperature and fluorescence parameters collected from 3 experimental lakes located at the University of Notre Dame Environmental Research Center in the upper peninsula of Michigan, USA.  The field study involved collecting high frequency data from an unmanipulated reference lake and a second lake undergoing experimental fertilization to induce a critical transition in the form of an algal bloom. \n\nThis dataset is associated with the following publication:\nBatt, R.D., T. Eason, and A. Garmestani. Time scale of resilience loss: Implications for managing critical transitions in water quality.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(10): 01-19, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503459",
      "keyword": [
        "regime shifts",
        "lakes",
        "Harmful Algal Blooms",
        "resilience",
        "leading indicators",
        "governance",
        "environmental change",
        "complex systems",
        "law and policy"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/rBatt/timeScales/blob/master/data/sos_data.RData",
          "accessURL": "https://github.com/rBatt/timeScales/blob/master/data/sos_data.RData",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-18",
      "references": [
        "https://doi.org/10.1371/journal.pone.0223366"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503459/documents/sos_data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-kd5p_dataset_20200320.docx",
      "description": "Data corresponding to graphs in paper.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518492",
      "keyword": [
        "cesium",
        "Strontium",
        "americium",
        "europium",
        "dirty bomb",
        "nuclear power plant",
        "wash penalty"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-kd5p_dataset_20200320.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518492/MagnusonMatthew_A-kd5p_dataset_20200320.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and output for Ordinal Dose Response Modeling Approach for the Phthalate Syndrome 508",
      "description": "Datasets analyzed and pertinent portions of the output generated for \"Ordinal Dose-Response Modeling Approach for the Phthalate Syndrome.\"  \nIncludes:\n1) The data obtained from the original source (\"Male_reproductive_data_508.csv\")\n2) The data summarized in ordinal form for the analysis (\"Input_data_for_phthalate_syndrome_ordinal_analysis_508.csv\")\n3) Bootstrap replicates of the ordinal dataset (\"Bootstrap_replicates_of_ordinal_phthalate_syndrome_dataset_508.csv\")\n4) Output and graphs from the ordinal analysis and bootstrap analysis (\"Ordinal_phthalate_syndrome_analysis_output_and_graphs_508.docx\")\n5) Output from the analysis on the influence of the histopathological endpoints (\"Influence_of_histopatholgy_output_508.csv\")\n6) For each data file, a summary and glossary with descriptions of the data file and definitions of the terms (\"...glossary_508.xlsx\" or \"...summary_and_glossary_508.xlsx\"). \n\nThis dataset is associated with the following publication:\nBlessinger, T., S. Euling, L.(. Wang, K. Hogan, Y. Cai, G. Klinefelter, and A. Saillenfait. Ordinal Dose-Response Modeling Approach for the Phthalate Syndrome.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 134: 105287, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1503702",
      "keyword": [
        "ordinal data analysis",
        "dose-response modeling",
        "male reproductive development",
        "nested model",
        "diisobutyl phthalate",
        "phthalate syndrome"
      ],
      "contactPoint": {
        "fn": "Todd Blessinger",
        "hasEmail": "mailto:blessinger.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Read_Me-PhthalateSyndrome_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Read_Me-PhthalateSyndrome_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Male_reproductive_data_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Male_reproductive_data_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Male_reproductive_data_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Male_reproductive_data_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ordinal_PS_data_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Ordinal_PS_data_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ordinal_PS_data_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Ordinal_PS_data_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_ordinal_PS_data_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_ordinal_PS_data_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_ordinal_PS_data_litter_ignored_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_ordinal_PS_data_litter_ignored_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_ordinal_PS_data_litter_ignored_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_ordinal_PS_data_litter_ignored_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Permuted_ordinal_PS_data_1_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Permuted_ordinal_PS_data_1_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Permuted_ordinal_PS_data_2_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Permuted_ordinal_PS_data_2_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Permuted_ordinal_PS_data_3_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Permuted_ordinal_PS_data_3_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Permuted_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Permuted_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_permuted_ordinal_PS_data_1_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_permuted_ordinal_PS_data_1_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_permuted_ordinal_PS_data_2_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_permuted_ordinal_PS_data_2_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_permuted_ordinal_PS_data_3_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_permuted_ordinal_PS_data_3_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bootstrap_replicates_of_permuted_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Bootstrap_replicates_of_permuted_ordinal_PS_data_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ordinal_PS_analysis_output_and_graphs_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Ordinal_PS_analysis_output_and_graphs_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Influence_of_histopatholgy_output_508.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Influence_of_histopatholgy_output_508.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Influence_of_histopatholgy_output_summary_and_glossary_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503702/Influence_of_histopatholgy_output_summary_and_glossary_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-26",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.105287"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Clifton et.al_2020_SI_DATA_021420",
      "description": "Concentration and QA data for triclosan and bisphenols in adult duplicate diet samples from the EX-R study..",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517804",
      "keyword": [
        "duplicate diet",
        "bisphenol",
        "Triclosan",
        "gcms",
        "method"
      ],
      "contactPoint": {
        "fn": "Matthew Clifton",
        "hasEmail": "mailto:clifton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Clifton et.al_2020_SI_DATA_021420.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517804/Clifton%20et.al_2020_SI_DATA_021420.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summary of HASPOC Waivers from 2012 through May 2018",
      "description": "Summary of HASPOC Waivers of Animal Toxicity Studies from 2012 through May 2018. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518591",
      "keyword": [
        "pesticides",
        "3Rs",
        "chemical risk assessment"
      ],
      "contactPoint": {
        "fn": "Evisabel Craig",
        "hasEmail": "mailto:craig.evisabel@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix1-final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518591/Appendix1-final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-28",
      "references": [
        "https://dx.doi.org/10.1016/j.yrtph.2019.104481"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "New Jersey NJDEP/EPA-ORD soil PFAS study",
      "description": "The toxicity and environmental persistence of anthropogenic per- and poly-fluoroalkyl substances (PFAS) are of concern globally.  To address legacy PFAS concerns in the US, industry developed numerous replacement PFAS that commonly are treated as confidential information.  To investigate the distribution of PFAS in New Jersey (NJ), soils collected from across the state were subjected to nontargeted mass-spectral analyses.  Ten chloro-perfluoro-polyether-carboxylates were tentatively identified, with ≥3 congeners in all samples.  Nine congeners are ≥(CF2)7.  Distinct chemical formulas and structures, as well as geographic distribution, suggest airborne transport from an industrial source.  Lighter congeners dispersed more widely than heavier, with the most widely dispersed detected in an in-stock New Hampshire sample.  Additional data were used to develop a legacy-PFAS fingerprint for historical PFAS sources in NJ. \n\nThis dataset is associated with the following publication:\nWashington, J., C. Rosal, J. McCord, M. Strynar, A. Lindstrom, E. Bergman, S. Goodrow, H. Tadesse, D. Pilant, B. Washington, M.J. Davis, B. Stuart, and T. Jenkins. Nontargeted mass-spectral detection of chloroperfluoropolyether carboxylates in New Jersey soils.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 368(6495): 1103-1107, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1506012",
      "keyword": [
        "PFAS",
        "PFCA",
        "ClPFPECA",
        "soil",
        "New Jersey"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Washington et al NJ Soil PFCAs For Online Storage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506012/Washington%20et%20al%20NJ%20Soil%20PFCAs%20For%20Online%20Storage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Washington et al NJ Soil Polyethers For Online Storage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506012/Washington%20et%20al%20NJ%20Soil%20Polyethers%20For%20Online%20Storage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Washington et al NJ Soil Polyethers MassError Intensity For Online Storage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506012/Washington%20et%20al%20NJ%20Soil%20Polyethers%20MassError%20Intensity%20For%20Online%20Storage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-05",
      "references": [
        "https://doi.org/10.1126/science.aba7127"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biogeography and co-occurrence of 16 planktonic species of Keratella Bory de St. Vincent, 1822 (PLOIMA, BRACHIONIDAE) in lakes and reservoirs of the United States ",
      "description": "Zooplankton and landscape data for assessing relationships between 16 different zooplankton taxa. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518433",
      "keyword": [
        "zooplankton",
        "Keratella spp.",
        "lakes and reservoirs"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-01",
      "references": [
        "https://dx.doi.org/10.11646/zootaxa.4624.3.3"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Literature-curated data involved in development of an Aggregate Exposure Pathway for the plasticizer di-ehtylhexyl phthalate",
      "description": "This dataset describes concentrations of DEHP in numerous types of environmental, biological, and manufactured media, along with rates of transformation and transportation. The references used to obtain this information, along with their authors, locations of study, and year of study, are also available. \n\nThis dataset is associated with the following publication:\nClewell, R., J. Leonard, C. Nicolas, J. Cambpell, M. Yoon, A. Efremenko, P. McMullen, M. Andersen, H. Clewell, K. Phillips, and C. Tan. Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 66: 104855, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1390134",
      "keyword": [
        "exposure",
        "aggregate",
        "development",
        "AOPs"
      ],
      "contactPoint": {
        "fn": "Yu-Mei Tan",
        "hasEmail": "mailto:tan.cecilia@epa.gov"
      },
      "distribution": [
        {
          "title": "DEHP_AEP_12152016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390134/DEHP_AEP_12152016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-15",
      "references": [
        "https://doi.org/10.1016/j.tiv.2020.104855"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Acidity of Atmospheric Particles and Clouds",
      "description": "Dataset contains supplementary information (model inputs and/or outputs and literature values) for Section 4.1 (idealized acidity calculations), Section 4.2 (box model calculations of pH for ambient conditions), Section 7.1 (observed aerosol pH values), Section 7.2 (observed cloud pH values), and Section 8.1 (CMAQ hemispheric predictions). \n\nThis dataset is associated with the following publication:\nPye, H., A. Nenes, B. Alexander, A. Ault, M. Barth, S. Clegg, J. Collett, K. Fahey, C. Hennigan, H. Herrmann, M. Kanakidou, J. Kelly, I. Ku, V.F. McNeill, N. Riemer, T. Schaefer, G. Shi, A. Tilgner, J. Walker, T. Wang, R. Weber, J. Xing, R. Zaveri, and A. Zuend. The Acidity of Atmospheric Particles and Clouds.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 20(8): 4809–4888, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504059",
      "keyword": [
        "acidity",
        "pH",
        "clouds",
        "Aerosol",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "Pye_2020_ACP_acidity_archive.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504059/Pye_2020_ACP_acidity_archive.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-18",
      "references": [
        "https://doi.org/10.5194/acp-20-4809-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data_The Influence of Parametric Uncertainty on Projections of Forest Land Use, Carbon, and Markets",
      "description": "This research project featured performing a large-scale Monte Carlo simulation (MCS) in the Global Timber Model (GTM). 277 runs were completed, and data from these scenarios were queried and synthesized by a R Shiny tool. Outputs from these runs fed into the overall distribution of results, and summary statistics which were synthesized in the mentioned paper. These results supported the conclusions of the paper, The Influence of Parametric Uncertainty on Projections of Forest Land Use, Carbon, and Markets. The only intended use of these data is to inform this paper’s findings.\n\nThe data includes a record of what the parameter draws were for each of the 277 trials, and visual as well as tabular results for the distribution of results for key metrics including: forest land cover change, forest soil carbon, forest biomass carbon, “market” carbon (carbon in durable wood products), pulpwood prices, sawtimber prices, pulpwood output, and sawtimber output. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518649",
      "keyword": [
        "Uncertainty Analysis",
        "Global Timber Model",
        "biomass",
        "Forest Carbon"
      ],
      "contactPoint": {
        "fn": "Michael Shell",
        "hasEmail": "mailto:shell.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518649/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sohngen_etal_2019_GTMdata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518649/Sohngen_etal_2019_GTMdata.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-07",
      "references": [
        "https://dx.doi.org/10.1561/112.00000445"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DJ Basin PC Study",
      "description": "This dataset contains information on pneumatic controllers encountered on  the oil and gas production sites surveyed as part of the study.  The dataset includes the type and use of the controllers along with optical gas imaging observation results on observed emissions from the controllers and high volume sampler emission assessments of a subset of controllers measured. \n\nThis dataset is associated with the following publication:\nStovern, M., J. Murray, C. Schwartz, C. Beeler, and E. Thoma. Understanding Oil and Gas Pneumatic Controllers in the Denver-Julesburg Basin using Optical Gas Imaging.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  468-480, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504542",
      "keyword": [
        "Pneumatic Controller Emissions",
        "Oil and Natural Gas Production",
        "Denver Julesburg Basin",
        "Optical Gas Imaging",
        "NGEM"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "CO PC Study Data_v20190930.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504542/CO%20PC%20Study%20Data_v20190930.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-30",
      "references": [
        "https://doi.org/10.1080/10962247.2020.1735576"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring ",
      "description": "Chloride data used to assess trends over time, using both USGS data for trends in loads and USEPA NRSA data used to assess trends in concentrations. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518432",
      "keyword": [
        "Choloride",
        "trends",
        "Targeted Monitoring",
        "Probabilistic Monitoring"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-28",
      "references": [
        "https://dx.doi.org/10.1007/s10661-019-7481-5"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental factors influencing the quantitative distribution of microcystin and common potentially toxigenic cyanobacteria in US lakes and reservoirs",
      "description": "Data from NLA 2012 was used to assess biovolume results for cyanobacteria (phytoplankton) in relation to both landscape and in lake factors. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518382",
      "keyword": [
        "microcystin",
        "algal toxin",
        "environmental factors"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-01",
      "references": [
        "https://dx.doi.org/10.1016/j.hal.2018.08.004"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial variability of sediment methane dataset",
      "description": "This data set contains variables measured during a survey of sediment-methane production rates in a eutrophic reservoir in southwestern Ohio.  The measured production rates and a suite of predictor variables including water chemistry, sediment characteristics, and algal abundance are presented.. \n\nThis dataset is associated with the following publication:\nBerberich, M., J. Beaulieu, T. Hamilton, S. Waldo, and I. Buffam. Spatial variability of sediment methane production and methanogen communities within a eutrophic reservoir: importance of organic matter source and quantity.   LIMNOLOGY AND OCEANOGRAPHY. American Society of Limnology and Oceanography, Lawrence, KS, USA, 65(3): 1-23, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503830",
      "keyword": [
        "Methane",
        "lakes and reservoirs",
        "carbon",
        "Algae"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://osf.io/59hnj/",
          "accessURL": "https://osf.io/59hnj/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-28",
      "references": [
        "https://doi.org/10.1002/lno.11392"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from \"A method for CRISPR/Cas9 mutation of genes in fathead minnow (Pimephales promelas)\"",
      "description": "The dataset includes survival of control, control injected, and CRISPR/Cas9 injected embryos as well as percent efficiency of insertion/deletion mutation formation for the three different CRISPR guide strands/targets evaluated in this study. \n\nThis dataset is associated with the following publication:\nMaki, J., J. Cavallin, K. Lott, T. Saari, G. Ankley, and D. Villeneuve. A method for CRISPR/Cas9 mutation of genes in fathead minnow (Pimephales promelas).   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 222: 12 pg., (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504087",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "CRISPR_Science Hub_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504087/CRISPR_Science%20Hub_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-24",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2020.105464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Saunders et al._Dietary bioaccumulation and biotransformation of hydrophobic organic sunscreen agents in rainbow trout",
      "description": "Organic ultraviolet filters (UVFs; also known as sunscreen agents) used in personal care and consumer products can enter the aquatic environment via wastewater treatment plant effluents or by loss from skin during swimming and other recreational activities.  Some UVFs are hydrophobic (log Kow > 4) which has led to concern that they may bioaccumulate in aquatic organisms.  The purpose of this study was to investigate the bioaccumulation and biotransformation of two widely-used UVFs, 2-ethylhexyl-4-methoxycinnamate (EHMC) and octocrylene (OCT) in rainbow trout exposed via the diet.  EHMC and OCT were significantly metabolized by trout and this metabolism substantially reduced bioaccumulation relative to levels observed for a set of poorly transformed chemicals having similar log Kow values.  Derived bioconcentration factors (BCFs) and biomagnification factors (BMFs) for both UVFs were well below established bioaccumulation criteria, suggesting that EHMC and OCT are unlikely to pose a bioaccumulation hazard in trout.  This research substantially increases existing knowledge concerning the fate and effects of UVFs in the environment. \n\nThis dataset is associated with the following publication:\nSaunders, L., A. Hoffman, J. Nichols, and F. Gobas. Dietary bioaccumulation and biotransformation of hydrophobic organic sunscreen agents in rainbow trout.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(3): 574-586, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504525",
      "keyword": [
        "bioaccumlation",
        "biotransformation",
        "biomagnification",
        "ultraviolet filters",
        "toxicokinetics",
        "sunscreens"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Saunders et al_ScienceHub_entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504525/Saunders%20et%20al_ScienceHub_entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-31",
      "references": [
        "https://doi.org/10.1002/etc.4638"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "White Sucker Tumors and Deformities",
      "description": "White sucker, Catostomus commersonii, were collected from the St. Louis River Area of Concern in 2011, 2013, and 2015. The data include size, sex, and age of fish; associated orocutaneous and liver neoplasia prevalence; muscle carbon and nitrogen stable isotope ratios; diet contribution from three locations based on stable isotope ratios; and concentration of PCBs, dioxins, and furans in livers of select fish sampled in 2015. \n\nThis dataset is associated with the following publication:\nHoffman, J., V. Blazer, H. Walsh, C. Shaw, R. Braham, and P. Mazik. Influence of demographics, exposure, and habitat use in an urban, coastal river on tumor prevalence in a demersal fish.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 712: 12 pg., (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504546",
      "keyword": [
        "white sucker",
        "migrate",
        "neoplasia",
        "PCBs",
        "dioxins",
        "furans",
        "Area of Concern"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-b2rs_Dataset_20191007.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504546/HoffmanJoel_A-b2rs_Dataset_20191007.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.136512"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse Outcome Pathway Network-Based Assessment of the Interactive Effects of an Androgen Receptor Agonist and an Aromatase Inhibitor on Fish Endocrine Function",
      "description": "Adverse outcome pathway (AOP) networks potentially provide a basis for predictive approaches to assess the toxicity of chemical mixtures. This study evaluated the utility of a simple AOP network to predict the interactive effects of a binary chemical mixture comprised of an inhibitor of the aromatase enzyme (fadrozole, a human pharmaceutical) and an agonist of the androgen receptor (trenbolone, a veterinary drug). Overall, prediction of interactive effects of the two chemicals based on the AOP network did not match actual observed effects. Rather, the two compounds seemed to interact in an independent manner in terms of their effects on the hypothalamic-pituitary-gonadal axis in the fish. \n\nThis dataset is associated with the following publication:\nAnkley, G., B. Blackwell, J. Cavallin, J. Doering, D.J. Feifarek, K. Jensen, M. Kahl, C. Lalone, S. Poole, E. Randolph, T. Saari, and D. Villeneuve. Adverse outcome pathway network-based assessment of the interactive effects of an androgen receptor agonist and an aromatase inhibitor on fish endocrine function.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 39(4): 913-922, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504080",
      "keyword": [
        "Androgen receptor",
        "Aromatase inhibitor",
        "fathead minnow",
        "17-beta-trenbolone",
        "fadrozole",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "Interactive effects of an androgen receptor agonist (trenbolone) and aromatase inhibitor (fadrozole)  dataset final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504080/Interactive%20effects%20of%20an%20androgen%20receptor%20agonist%20%28trenbolone%29%20and%20aromatase%20inhibitor%20%28fadrozole%29%20%20dataset%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-17",
      "references": [
        "https://doi.org/10.1073/pnas"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set",
      "description": "Each sheet in the current spreadsheet contains data that was generated by the USEPA ORD and used in the manuscript entitled: Particle and Vapor Emissions from Vat Polymerization Desktop-scale 3-Dimensional Printers.\n\nFor the research project the USEPA ORD was responsible for identifying the elemental composition and concentration for each of the 5 different resin used in the project.  The chemical composition and concentration were determined for the as purchased uncured resin and a cured resin printed object.  \n\nData produced from the research that was included in the manuscript was presented in Table 3.  Identities of elements in bulk feedstock resin, airborne particles emitted during vat polymerization 3-D printing, and printed objects; and Supporting Information Table S5 Elemental content of bulk grey liquid resins and printed solid objects by ICP analysis (mg/kg)\n\nThe data presented in Table 3 is presented in Sheet2 and the data presented in Table S5 is located in Sheet3. \n\nThis dataset is associated with the following publication:\nStefaniak, A.B., L.N. Bowers, A.K. Knepp, T.P. Luxton, D.M. Peloquin, E.J. Baumann, J.E. Ham, J.R. Wells, A.R. Johnson, R.F. LeBouf, F.-. Su, S.B. Martin Jr., and M.A. Virji. Particle and vapor emissions from vat polymerization desktop-scale 3-dimensional printers.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 16(8): 519-531, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503439",
      "keyword": [
        "vat polymerization",
        "stereolithography",
        "digital light processing",
        "ultrafine particles",
        "volatile organic compounds",
        "3-dimensional printing"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503439/Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-15",
      "references": [
        "https://doi.org/10.1080/15459624.2019.1612068"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta Data Version 1",
      "description": "Data that was used to construct the table and figures associated with the manuscript. \n\nThis dataset is associated with the following publication:\nPeloquin, D.M., E.J. Baumann Jr., and T.P. Luxton. Multi-method assessment of PVP-coated silver nanoparticles and artificial sweat mixtures (journal).   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 249: 126173, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504442",
      "keyword": [
        "Silver",
        "Engineered Nanoparticles",
        "XAFS",
        "particle size",
        "Single particle (SP)- ICP-MS"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "meta-data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504442/meta-data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-16",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2020.126173"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emergency department visits for acute gastrointestinal illness after a major water pipe break in 2010",
      "description": "Data consist of medical records for hospitalizations including reasons for admission, and location. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data is restricted to investigators due to potential PII. Format: Data are stored in SAS, MS Excel with meta data and codeboks. \n\nThis dataset is associated with the following publication:\nLin, C., D. Richardson, E. Hilborn, H. Weinberg, L. Engel, and T. Wade. Emergency department visits for acute gastrointestinal illness after a major water pipe break in 2010.   EPIDEMIOLOGY. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 30(6): 893-900, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1422514",
      "keyword": [
        "drinking water",
        "dust storms",
        "hospitalizations",
        "Ambient air quality",
        "Weather"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2018-02-27",
      "references": [
        "https://doi.org/10.1097/ede.0000000000001083"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ramjoh PFHxS Data",
      "description": "File contains data on body, liver, thyroid weights from dams and exposed offspring, serum thyroid hormones, gland and cortical gene expression, results of cognitive function tests. \n\nThis dataset is associated with the following publication:\nRamhoj, L., U. Haas, M. Gilbert, C. Wood, T. Svingen, D. Usai, A.M. Vinggaard, K. Mandrup, and M. Axelstad. Evaluating thyroid hormone disruption: Investigations of long-term neurodevelopmental effects in rats after perinatal exposure to perfluorohexane sulfonate (PFHxS).   Scientific Reports. Nature Publishing Group, London,  UK, 10(1): 2672, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503698",
      "keyword": [
        "thyroid hormone",
        "neurodevelopment",
        "perflourinated chemicals"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "Ramhøj et al., PFHxS and Thyroid_means and SD_21.02.2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503698/Ramh%C3%B8j%20et%20al.%2C%20PFHxS%20and%20Thyroid_means%20and%20SD_21.02.2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-29",
      "references": [
        "https://doi.org/10.1038/s41598-020-59354-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2019 Manuscript Dataset",
      "description": "Dataset contains efficacy data, as well as temperature and RH data. The data describe inactivation of non-spore-forming biological agents on surfaces following exposure to different temperature and humidity environments. \n\nThis dataset is associated with the following publication:\nRichter, W., M. Sunderman, M. Wendling, S. Serre, L. Mickelsen, R. Rupert, J. Wood, Y. Choi, Z. Willenberg, and M. Calfee. Evaluation of Altered Environmental Conditions as a Decontamination Approach for Non-Spore-Forming Biological Agents-Journal Article.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 128(4): 1050-1059, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503683",
      "keyword": [
        "Decontamination",
        "non-spore-forming biological agent",
        "bioterrorism",
        "Contamination",
        "remediation",
        "ESF10",
        "Francisella tularensis",
        "Venezuelan Equine Encephalitis virus",
        "heat inactivation",
        "biological agent"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Alt Env Cond Decon_Summary Data_A-cvf3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503683/Alt%20Env%20Cond%20Decon_Summary%20Data_A-cvf3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-01",
      "references": [
        "https://doi.org/10.1111/jam.14532"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Corteselli et al Ozone PUFA Ox Stress",
      "description": "These are the data for the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nCorteselli, E., A. Gold, J. Surratt, T. Cui, P. Bromberg, L. Dailey, and J. Samet. Supplementation with Omega-3 Fatty Acids Potentiates Oxidative Stress in Human Airway Epithelial Cells Exposed to Ozone.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 187: 109627, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504040",
      "keyword": [
        "Ozone"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "CORTESELLI Ozone PUFA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504040/CORTESELLI%20Ozone%20PUFA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-03",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.109627"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "There is no dataset associated with this Review amanuscript.",
      "description": "N/A. This dataset is not publicly accessible because: This is a Review with no generated data associated with the manuscript. It can be accessed through the following means: N/A. Format: N/A. \n\nThis dataset is associated with the following publication:\nKoralegedara, N.H., P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Recent advances in flue gas desulfurization gypsum processes and applications – A review.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 251: 109572, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503194",
      "keyword": [
        "beneficial use",
        "artificial gypsum",
        "materials reuse",
        "flue gas desulfurization process",
        "FGDG applications"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503194/documents/Data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Full water cycle monitoring dataset, from USGS Sciencebase",
      "description": "This dataset includes hydrologic fluxes (evapotranspiration estimates, groundwater levels, wastewater fluxes), soil profile taxonomy (texture, horizons, etc.), and near-surface hydraulics (infiltration, drainage rates). \n\nThis dataset is associated with the following publication:\nHoard, C., R. Haefner, W. Shuster, R. Pieschek, and S. Beeler. Full Water-Cycle Monitoring in an Urban Catchment Reveals Unexpected Water Transfers (Detroit MI, USA).   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(1): 82-99, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503705",
      "keyword": [
        "urban hydrology",
        "rainfall derived infilow and infiltration",
        "wastewater",
        "stormwater",
        "combined sewer systems"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P91NM8X3",
          "accessURL": "https://doi.org/10.5066/P91NM8X3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-10",
      "references": [
        "https://doi.org/10.1111/1752-1688.12814"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Western Balkans Index of Watershed Integrity",
      "description": "Stressors, Functional Components, Index of Catchment Integrity and Index of Watershed Integrity values for all 1084 catchments in the western Balkans. \n\nThis dataset is associated with the following publication:\nAho, K.B., J.E. Flotemersch, S.G. Leibowitz, Z.C. Johnson, M.H. Weber, and R.A. Hill. Adapting the Index of Watershed Integrity for Watershed Managers in the Western Balkans Region.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA, 65(5): 602-617, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1434312",
      "keyword": [
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "DataDictionary052918.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/DataDictionary052918.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MONERIS.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/MONERIS.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HMA.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/HMA.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IWIICI_WBalkans.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/IWIICI_WBalkans.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-11",
      "references": [
        "https://doi.org/10.1007/s00267-020-01280-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1434312/documents/DataDictionary052918%20ka.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone gas decontamination efficacy data for Bacillus anthracis and B. subtilis on building materials",
      "description": "The data set consists of a zip file.  Once unzipped, there are several Excel spreadsheets, one for each experiment.  The file name indicates the experimental conditions, in terms of ozone concentration tested, the relative humidity (RH) level, and the microorganism. \n\nThis dataset is associated with the following publication:\nWood, J., M. Wendling, W. Richter, and J. Rogers. The Use of Ozone Gas for the Inactivation of Bacillus anthracis and Bacillus subtilis Spores on Building Materials.  Peter Setlow  PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(5): 15, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517612",
      "keyword": [
        "Decontamination",
        "Bacillus anthracis",
        "ozone gas",
        "bacillus subtilis",
        "bacterial spores",
        "inactivation"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "ozone efficacy data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517612/ozone%20efficacy%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-23",
      "references": [
        "https://doi.org/10.1371/journal.pone.0233291"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The effect of thyroperoxidase and deiodinase inhibition on anterior swim bladder inflation in the zebrafish",
      "description": "The data set provides all data that were reported in results, tables, and figures associated with Stinckens et al., \"The effect of thyroperoxidase and deiodinase inhibition on anterior swim bladder inflation in the zebrafish\".  The data set includes:\n1) Effects of three test chemicals on thyroperoxidase enzyme activity\n2) Effects of three test chemicals on deiodinase enzyme activity\n3) Thyroid hormone (T3 and T4) concentrations measured in exposed larvae\n4) Measures of posterior and anterior swimbladder chamber inflation and surface areas.\n5) Data on swimming behavior (distance) of exposed fish.\n6) Measured concentrations of the test chemicals in the test media and tissues. \n\nThis dataset is associated with the following publication:\nStinckens, E., L. Vergauwen, B. Blackwell, G. Ankley, D. Villeneuve, and D. Knapen. Effect of thyroperoxidase and deiodinase inhibition on anterior swim bladder inflation in the zebrafish.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(10): 6213-6223, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518536",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "tpo-dio-anterior-data-2019-10-31.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518536/tpo-dio-anterior-data-2019-10-31.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-16",
      "references": [
        "https://doi.org/10.1021/acs.est.9b07204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Patrick and Yuan 2019",
      "description": "Data from MD and from USEPA are synoptic monitoring data collected over many surveys. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518732",
      "keyword": [
        "National Aquatic Resource Surveys",
        "Maryland"
      ],
      "contactPoint": {
        "fn": "Lester Yuan",
        "hasEmail": "mailto:yuan.lester@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dnr.maryland.gov/streams/Pages/dataRequest.aspx",
          "accessURL": "https://dnr.maryland.gov/streams/Pages/dataRequest.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-28",
      "references": [
        "https://dx.doi.org/10.1111/oik.05802"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diflubenzuron_Science Hub_Data_FINAL",
      "description": "Dataset for figures included in associated publication. \n\nThis dataset is associated with the following publication:\nLehmann, D., M. Batres, and W. Williams. Impact of Diflubenzuron on Bombus Impatiens Microcolony Development.   ENVIRONMENTAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 49(1): 203-210, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502505",
      "keyword": [
        "pesticides",
        "pollinator",
        "bumble bee",
        "microcolony"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Diflubenzuron__Science Hub_Data_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502505/Diflubenzuron__Science%20Hub_Data_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-25",
      "references": [
        "https://doi.org/10.1093/ee/nvz150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aortic Ring Viability with Fatty Acid Exposures; Released LDH activity expressed as % of unexposed control value; VBass ms 12-OH Oleic acid impairs vasorelaxation; 1Mar2019.  Table 1 ",
      "description": "Effects of exposure to fatty acids on the contraction  and relaxation of aortic tissue (Figure 1 A-E) and the viability of the aortic tissue (Table 1). \n\nThis dataset is associated with the following publication:\nBass, V., S. Snow, J. Soukup, M. Schladweiler, A. Ghio, U. Kodavanti, and M. Madden. 12-Hydroxy Oleic Acid Impairs Endothelium Dependent Vasorelaxation.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(5): 383-386, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503438",
      "keyword": [
        "oleic acid",
        "air pollution",
        "cardiovascular",
        "fatty acid",
        "pulmonary"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 1A_E Bass aortic ring ms 1mar2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503438/Figure%201A_E%20Bass%20aortic%20ring%20ms%201mar2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1 Bass aortic rings  ms 1mar2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503438/Table%201%20Bass%20aortic%20rings%20%20ms%201mar2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-01",
      "references": [
        "https://doi.org/10.1080/15287394.2019.1603282"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aortic Rings Viability with Fatty Acid Exposures; Released LDH activity expressed as % of unexposed control value; VBass ms 12-OH Oleic acid impairs vasorelaxation; 1Mar2019. Table 1 ",
      "description": "Figure 1. is Aortic Ring Responses Following 1hr Exposure with either 200µM OA, 12-OH-OA, or vehicle.  Table 1. is Aortic  Tissue Viability. \n\nThis dataset is associated with the following publication:\nBass, V., S. Snow, J. Soukup, M. Schladweiler, A. Ghio, U. Kodavanti, and M. Madden. 12-Hydroxy Oleic Acid Impairs Endothelium Dependent Vasorelaxation.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(5): 383-386, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503681",
      "keyword": [
        "oleic acid",
        "fatty acids",
        "air pollution",
        "vascular dysfuction",
        "aortic rings"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 1 Bass aortic rings  ms 1mar2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503681/Table%201%20Bass%20aortic%20rings%20%20ms%201mar2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1A_E Bass aortic ring ms 1mar2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503681/Figure%201A_E%20Bass%20aortic%20ring%20ms%201mar2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-02",
      "references": [
        "https://doi.org/10.1080/15287394.2019.1603282"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aortic Ring Viability with Fatty Acid Exposures; Released LDH activity expressed as % of unexposed control value; VBass ms 12-OH Oleic acid impairs vasorelaxation; 1Mar2019. Table 1 ",
      "description": "Aortic tissue cellular viability with different treatments. \n\nThis dataset is associated with the following publication:\nBass, V., S. Snow, J. Soukup, M. Schladweiler, A. Ghio, U. Kodavanti, and M. Madden. 12-Hydroxy Oleic Acid Impairs Endothelium Dependent Vasorelaxation.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(5): 383-386, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503680",
      "keyword": [
        "oleic acid",
        "fatty acids",
        "air pollution",
        "vascular dysfuction",
        "aortic rings"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 1A_E Bass aortic ring ms 1mar2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503680/Figure%201A_E%20Bass%20aortic%20ring%20ms%201mar2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-02",
      "references": [
        "https://doi.org/10.1080/15287394.2019.1603282"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LT3 Peat Smoke Extract Aspiration - All data",
      "description": "Raw data for all figures and supplementary figures. \n\nThis dataset is associated with the following publication:\nThompson, L., Y. Kim, B. Martin, A. Ledbetter, J. Dye, M. Hazari, I. Gilmour, and A. Farraj. Pulmonary Exposure to Peat Smoke Extracts in Rats Decreases Expiratory Time and Increases Left Heart End Systolic Volume.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(11-12): 439-447, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502553",
      "keyword": [
        "air pollution",
        "peat smoke",
        "cardiovascular",
        "pulmonary",
        "particulate matter",
        "biomass",
        "whole-body plethysmography",
        "cardiovascular ultrasound"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "LT3 Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502553/LT3%20Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-15",
      "references": [
        "https://doi.org/10.1080/08958378.2018.1551443"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Hydrologic Role of Urban Green Space in Mitigating Flooding (Luohe, China)",
      "description": "Underlying data and supplemental information. This dataset is not publicly accessible because: Data was collected and managed by Guohang Tian of College of Forestry, Henan Agricultural University, Zhengzhou 450002, China. It can be accessed through the following means: Contact the corresponding author Guohang Tian of College of Forestry, Henan Agricultural University, Zhengzhou 450002, China\ntgh0810@163.com. Format: Data is managed by Guohang Tian of College of Forestry, Henan Agricultural University, Zhengzhou 450002, China. \n\nThis dataset is associated with the following publication:\nBai, T., A. Mayer, W. Shuster, and G. Tian. The Hydrologic Role of Urban Green Space in Mitigating Flooding (Luohe, China).   Sustainability. MDPI AG, Basel,  SWITZERLAND, 10(10): 3584, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518695",
      "keyword": [
        "Green space",
        "urbanization",
        "Pervious surface",
        "flooding"
      ],
      "contactPoint": {
        "fn": "Stephen Musson",
        "hasEmail": "mailto:musson.steve@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-09",
      "references": [
        "https://doi.org/10.3390/su10103584"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation results of Example 1, 2 and 3 in the research manuscript.",
      "description": "Simulation results for one dimensional advection-dispersion-reaction modeling withing drinking water distribution system. Analytical solutions are provided when possible.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518685",
      "keyword": [
        "Drinking water distribution system",
        "Dispersion"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "WRPM_paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518685/WRPM_paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model input files of Example 1, 2 and 3 in the research manuscript.",
      "description": "The attached excel file includes the simulation results for example 1, 2, 3 in the manuscript.\nThe attached zip file contains the three input files for example 1, 2, 3 in the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518692",
      "keyword": [
        "Drinking water distribution system",
        "Dispersion"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "paper_example.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518692/paper_example.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact, Data Set",
      "description": "The data set includes the data used to generated figures in the publication \n\nClar, J. G.; Platten, W. E.; Baumann, E.; Remsen, A.; Harmon, S.; Rodgers, K.; Thomas, T.; Matheson, J.; Luxton, T. P., Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact. Sci. Total Environ. 2019, 694, 9. \n\nThis dataset is associated with the following publication:\nClar, J.G., W.E. Platten III, E. Baumann, A. Remsen, S. Harmon, K. Rogers, T. Thomas, J. Matheson, and T.P. Luxton. Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 694: 133669, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518749",
      "keyword": [
        "Zinc Oxide",
        "nanomaterial",
        "engineered nanomaterials (ENMs)",
        "Surface coating",
        "Synchrotron X-ray Absorption",
        "synchrotron speciation",
        "commercial products",
        "Engineered Nanomaterials (ENM)",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518749/Figure%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.133669"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact, Data Set",
      "description": "The data presented is for the figures presented in the manuscript. \n\nThis dataset is associated with the following publication:\nClar, J.G., W.E. Platten III, E. Baumann, A. Remsen, S. Harmon, K. Rogers, T. Thomas, J. Matheson, and T.P. Luxton. Transformation and release of nanoparticle additives & byproducts from commercially available surface coatings on pressure treated lumber via dermal contact.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 694: 133669, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518747",
      "keyword": [
        "ZnO",
        "Zinc Oxide",
        "Copper",
        "Pressure Treated lumber",
        "exposure",
        "Speciation",
        "Nanoparticles",
        "consumer products",
        "Surface Caotings"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518747/Figure%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.133669",
        "https://pasteur.epa.gov/uploads/10.23719/1518747/documents/ConsumerProducts_SI-v4.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys",
      "description": "The data presented includes the total elemental analysis, via ICP-MS) of aerosol emissions from 3D printer of thermoplastic polymers. \n\nThis dataset is associated with the following publication:\nYi, J., M.G. Duling, L.N. Bowers, A.K. Knepp, R.F. LeBouf, T.R. Nurkiewicz, A. Ranpara, T. Luxton, S.B. Martin Jr, D.A. Burns, D.M. Peloquin, E.J. Baumann, M.A. Virji, and A.B. Stefaniak. Particle and organic vapor emissions from children’s 3-D pen and 3-D printer toys.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(13-14): 432-445, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518748",
      "keyword": [
        "3D printing",
        "Toys",
        "Particles",
        "carcinogenic volatile organic compounds",
        "exposure",
        "metals",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518748/Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-05",
      "references": [
        "https://doi.org/10.1080/08958378.2019.1705441"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches",
      "description": "Two specific fires from 2011 are tracked for local to regional scale contribution to ozone (O3) and fine particulate matter (PM2.5) using a freely available regulatory modeling system that includes the BlueSky wildland fire emissions tool, Spare Matrix Operator Kernel Emissions (SMOKE) model, Weather and Research Forecasting (WRF) meteorological model, and Community Multiscale Air Quality (CMAQ) photochemical grid model. The modeling system was applied to track the contribution from a wildfire (Wallow) and prescribed fire (Flint Hills) using both source sensitivity and source apportionment approaches. The model estimated fire contribution to primary and secondary pollutants are comparable using source sensitivity (brute-force zero out) and source apportionment (Integrated Source Apportionment Method) approaches. Model estimated O3 enhancement relative to CO is similar to values reported in literature indicating the modeling system captures the range of O3 inhibition possible near fires and O3 production both near the fire and downwind. O3 and peroxyacetyl nitrate (PAN) are formed in the fire plume and transported downwind along with highly reactive VOC species such as formaldehyde and acetaldehyde that are both emitted by the fire and rapidly produced in the fire plume by VOC oxidation reactions. PAN and aldehydes contribute to continued downwind O3 production. The transport and thermal decomposition of PAN to nitrogen oxides (NOX) enables O3 production in areas limited by NOX availability and the photolysis of aldehydes to produce free radicals (HOX) causes increased O3 production in NOX rich areas. The modeling system tends to overestimate hourly surface O3 at routine rural monitors in close proximity to the fires when the model predicts elevated fire impacts on O3 and Hazard Mapping System (HMS) data indicates possible fire impact. A sensitivity simulation in which solar radiation and photolysis rates were more aggressively attenuated by aerosol in the plume reduced model O3 but does not eliminate this bias. A comparison of model predicted daily average speciated PM2.5 at surface rural routine network sites when the model predicts fire impacts from either of these fires shows a tendency toward overestimation of PM2.5 organic aerosol in close proximity to these fires. The standard version of the CMAQ treats primarily emitted organic aerosol as non-volatile. An alternative approach for treating organic aerosol as semi-volatile resulted in lower PM2.5 organic aerosol from these fires but does not eliminate the bias. Future work should focus on modeling specific fire events that are well characterized in terms of size, emissions, and have extensive measurements taken near the fire and downwind to better constrain model representation of important physical and chemical processes (e.g. aerosol photolysis attenuation and organic aerosol treatment) related to wild and prescribed fires. \n\nThis dataset is associated with the following publication:\nBaker, K., M. Woody, G. Tonnesen, B. Hutzell, H. Pye, M. Beaver, G. Pouliot, and T. Pierce. Contribution of regional-scale fire events to ozone and PM2.5 air quality estimated by photochemical modeling approaches.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 140: 539–554, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503056",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S1352231016304654-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503056/1-s2.0-S1352231016304654-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-16",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2016.06.032"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Region 10 EPA data included in the manuscript: Timber harvest alters mercury bioaccumulation and food web structure in headwater streams",
      "description": "The data set includes all of the filtered water data for total-mercury and methylmercury in stream water that is referenced in the manuscript.  All other data in the paper was collected by the USGS and is available at: https://www.sciencebase.gov/catalog/item/5de95518e4b02caea0eed89d. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518758",
      "keyword": [
        "mercury"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA data used in Willacker et al 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518758/EPA%20data%20used%20in%20Willacker%20et%20al%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-04",
      "references": [
        "https://dx.doi.org/10.1016/j.envpol.2019.07.025"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for the Gratz et al. 2019 paper: Ambient Mercury Observations near a Coal-Fired Power Plant in a Western U.S. Urban Area",
      "description": "Excel spreadsheet with the following columns of data:\nDate/Time (6/2016 to 10/2016)\nTotal Gaseous Mercury Concentration (ng/m3)\nSulfur dioxide concentration (ppb)\nCarbon monoxide concentration (ppm)\nCarbon dioxide concentration (ppm)\nWind direction  in degrees\nWind speed in miles per hour\nTemperature in degrees celcius\nPercent relative humidity. This dataset is not publicly accessible because: The data used in this study were not generated or funded by the EPA. It can be accessed through the following means: The total-gaseous mercury (TGM) measurement data were collected by Dr. Lynne Gratz, Assistant Professor of Environmental Science, at Colorado College, 14 E. Cache La Poudre St. Colorado Springs, Colorado 80903 USA.   This data is not available to EPA for public dissemination.  Information on obtaining this data should be directed to Dr. Gratz at: lgratz@coloradocollege.edu or (719) 389-7465.\n\n\nThe CO, SO2, temperature, wind speed, wind direction, and relative humidity were collected at the Colorado Department of Public Health & Environment (CDPHE) air monitoring location at Highway 24 in Colorado Springs.  This data is already available in the public domain.\n\nCertified hourly data from this and other CDPHE air monitoring stations, including the Manitou Springs and Colorado College stations that were also mentioned in this manuscript, are available through the U.S. EPA Air Quality System (AQS) database (https://aqs.epa.gov/api) downloaded on September 1st 2017.  Additional information can be obtained by emailing: cdphe.information@state.co.us303. Format: The data are in an Excel format. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518459",
      "keyword": [
        "Atmospheric mercury"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-17",
      "references": [
        "https://dx.doi.org/10.3390/atmos10040176"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Region 10 EPA data included in the manuscript: The assessment and remediation of mercury contaminated sites: A review of current approaches",
      "description": "Figures 2, 3 and 4 as well as Figures S2 and S3 in the Supporting Information include data collected by (or for) the EPA at the Black Butte Mine Superfund Site.  All other data in the above mentioned Figures (as well as all other Figures/Tables in the paper) were obtained from previously published journal articles or were obtained from publicly available websites. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518676",
      "keyword": [
        "mercury methylation",
        "mercury"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA Science Hub Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518676/EPA%20Science%20Hub%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-11",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2019.136031"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518676/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "These are focus group transcripts and contain PII.",
      "description": "Data consist of transcripts from facilitated focus group discussions and contain PII. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It can be accessed by authorized persons by reaching out to contact point. Format: These are focus group discussion transcripts. Data contain PII. \n\nThis dataset is associated with the following publication:\nHano, M., C. Baghdikian, S. Prince, E. Lazzarino, B. Hubbell, E. Sams, S. Stone, A. Davis, and W. Cascio. Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(19): 3603, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504197",
      "keyword": [
        "air pollution",
        "cardiac rehabilitation",
        "air quality",
        "health behaviors",
        "health risk messaging"
      ],
      "contactPoint": {
        "fn": "Mary Hano",
        "hasEmail": "mailto:hano.mary@epa.gov"
      },
      "distribution": [],
      "modified": "2018-08-31",
      "references": [
        "https://doi.org/10.3390/ijerph16193603"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used to produce figures and tables",
      "description": "The data set was used to produce tables and figures in paper. \n\nThis dataset is associated with the following publications:\nLytle, D., S. Pfaller, C. Muhlen, I. Struewing, S. Triantafyllidou, C. White, S. Hayes, D. King, and J. Lu. A Comprehensive Evaluation of Monochloramine Disinfection on Water Quality, Legionella and Other Important Microorganisms in a Hospital.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 189: 116656, (2021).\nLytle, D., C. Formal, K. Cahalan, C. Muhlen, and S. Triantafyllidou. The Impact of Sampling Approach and Daily Water Usage on Lead Levels Measured at the Tap.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 197: 117071, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518729",
      "keyword": [
        "legionella",
        "drinking water",
        "hospital",
        "monochloramine"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci hub Evaluation Monocl Disinfec on WQ Leg and other in Hospital SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518729/Sci%20hub%20Evaluation%20Monocl%20Disinfec%20on%20WQ%20Leg%20and%20other%20in%20Hospital%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-27",
      "references": [
        "https://doi.org/10.1016/j.watres.2020.116656",
        "https://doi.org/10.1016/j.watres.2021.117071"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Oleic Acid on Human Endothelal Cells",
      "description": "Figure 1. Comparison of cell viability in response to exposure of cells to oleic acid (in ethanol), a hydroxy-metabolite, or methylated oleic acid as percent of the vehicle control response. \nFigure 2. Mitochondrial  stress test extracellular flux using comparison of cellular oxygen consumption rate measures.\nFigure 3. Soluble mediator release comparison of cells exposed to oleic acid and its metabolites. \nFigure 4. Cellular iron-uptake following incubation with fatty acids.\nSupplement 2A. Lactate dehydrogenase  activity release ( a measure of cell viability) is dose- and time-dependent.\nSupplement 2B. Oleic acid cellular association differs with vehicle utilized. \n\nThis dataset is associated with the following publication:\nBass, V., J. Soukup, A. Ghio, and M. Madden. Oleic Acid and Derivatives Affect Human Endothelial Mitochondrial Function Cell and Vasoactive Mediator Production.   Lipids in Health and Disease. BioMed Central Ltd, London,  UK, 19(1): 128, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503700",
      "keyword": [
        "oleic acid",
        "air pollutant",
        "vascular toxicity"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 1 Scihub data cell viability 9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Figure%201%20Scihub%20data%20cell%20viability%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 Scihub data seahorse  assay 9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Figure%202%20Scihub%20data%20seahorse%20%20assay%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 Scihub data PGF2a   ET1  9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Figure%203%20Scihub%20data%20PGF2a%20%20%20ET1%20%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplement Figure 2B Scihub data 14C_oleic uptake 9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Supplement%20Figure%202B%20Scihub%20data%2014C_oleic%20uptake%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplement Figure 2AScihub data viability BSA vehicle 9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Supplement%20Figure%202AScihub%20data%20viability%20BSA%20vehicle%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4 Scihub data genes changes 9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Figure%204%20Scihub%20data%20genes%20changes%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5 Scihub data iron  9april2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503700/Figure%205%20Scihub%20data%20iron%20%209april2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-09",
      "references": [
        "https://doi.org/10.1186/s12944-020-01296-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pesticide persistence in an indoor environment and decontamination studies to clean contaminated surfaces following pesticide misuse cases",
      "description": "Decontamination studies evaluated the effectiveness of liquid-based surface decontaminants against pesticides on indoor surfaces. Building materials, representing nonporous and porous surfaces, were contaminated with common pesticides, including malathion, carbaryl, fipronil, deltamethrin, and permethrin as well as commercial formulations thereof. Pesticide surface concentrations were representative of the pesticide-specific levels measured during field investigations involving misapplications of pesticides in homes or businesses (25–2,400 µg/100 cm2 surface concentration range). Decontamination testing occurred via a single or repeated application of the decontaminant without further mechanical removal or rinse steps. Decontaminants were both off-the-shelf and specialized solutions representing various chemistries (hypochlorite, hydrogen peroxide, quaternary ammonium compounds and ammonium salts). The persistence of surface residues was also investigated to assess the potential reduction of pesticide mass on surfaces under simulated indoor environmental conditions. The datasets provide the pesticide  mass recovered from coupons and the calculated decontamination efficacies for all decontamination studies. \n\nThis dataset is associated with the following publication:\nOudejans, L., A. Mysz, E. Snyder, B. Wyrzykowska-Ceradini, J. Nardin, D. Tabor, J. Starr, D. Stout, and P. Lemieux. Remediating Indoor Pesticide Contamination from Improper Pest Control Treatments: Persistence and Decontamination Studies.  D.Aga  JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 397(5): 11, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504439",
      "keyword": [
        "pesticides",
        "Indoor outdoor decontamination",
        "environmental persistence"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Oudejans et al Metadata Persistence Tests.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504439/Oudejans%20et%20al%20Metadata%20Persistence%20Tests.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oudejans et al Metadata Decontamination Tests.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504439/Oudejans%20et%20al%20Metadata%20Decontamination%20Tests.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-27",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2020.122743"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microplastics in urban watersheds",
      "description": "The data set contains a summary of literature sources involving microplastics in urban watersheds. This This primarily deals with aqueous phase and sediments from freshwater systems, along with influent and effluent from wastewater treatment plants. This dataset is not publicly accessible because: There are no data associated with this review paper. It can be accessed through the following means: N/A. Format: This is a review article.  There are no data associated with the entry. \n\nThis dataset is associated with the following publication:\nBirch, Q.T., P.M. Potter, P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Sources, transport, measurement, and impact of nano and microplastics in urban watersheds.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 19: 275-336, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506009",
      "keyword": [
        "nanoplastics",
        "plastic waste",
        "polymer degradation",
        "WWTP"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-28",
      "references": [
        "https://doi.org/10.1007/s11157-020-09529-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506009/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Modeling lateral plume deflection in the wake of an elongated building",
      "description": "The plume dispersion model AERMOD provides an efficient method for modeling ground-level pollutant concentrations in wakes of buildings. In recent years, several studies have shown that the downwash algorithms within AERMOD often perform poorly in certain applications. Some studies have proposed modifications to the downwash algorithm in AERMOD to bring the model closer to representing the underlying physical processes associated with building downwash and closer to more accurately modeling observed pollutant concentrations. One such study by Monbureau et al. (2018) made changes to the model that significantly improved its ability to model ground level concentrations for a simple case of a single rectangular building with an elevated, effluent-emitting stack experiencing winds perpendicular to the upwind side of the building. The present study introduces a simple algorithm to enhance AERMOD’s ability to appropriately match the dispersion pattern in the complex flow case of non-orthogonal winds. This algorithm, which is based on a rich set of Large-Eddy Simulations (LES), applies to a variety of building dimensions, stack locations, and stack heights. A sensitivity analysis demonstrates how additional modifications to the downwash algorithm may further improve AERMOD in modeling the spatial location of observed ground-level effluent. \n\nThis dataset is associated with the following publication:\nMonbureau, E.M., D. Heist, S. Perry, and W. Tang. Modeling lateral plume deflection in the wake of an elongated building.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 234: 117608, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518683",
      "keyword": [
        "building downwash",
        "Large Eddy Simulation",
        "dispersion modeling",
        "CFD"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HeistDavid_A-sj4m_DatafilesBDW-3-20200513.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518683/HeistDavid_A-sj4m_DatafilesBDW-3-20200513.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-13",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.117608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518683/documents/Monbureau%20Data%20Dictionary%20for%20Data%20Set%20A-sj4m.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Sialic acid on avian erythrocytes",
      "description": "Understanding variation in physiological traits across taxa is a central question in evolutionary biology that has wide-ranging implications in biomedicine, disease ecology, and environmental protection. Sialic acid (Sia), and in particular, 5-N-acetylneuraminic acid (Neu5Ac), is chemically bound to galactose and the underlying glycan via α2–3 or α2–6 glycosidic linkage (i.e., Siaα2–3Galactose or Siaα2–6Galactose), conferring two different cell surface structures that affects cell to cell communication and interactions with foreign agents including microparasites and toxins. As an initial step towards understanding variation of Sia across the class Aves, we collected red blood cells (RBCs or erythrocytes) and measured Sia quantity in 76 species and 340 individuals using HPLC-MS/MS and glycosidic linkage type in 24 species and 105 individuals using hemagglutination assay. Although Sia quantity did not, α2–6 glycosidic linkage did exhibit a discernable phylogenetic pattern as evaluated by a phylogenetic signal (λ) value of 0.7. Sia quantity appeared to be higher in after hatch year birds than hatch year birds (P < 0.05); moreover, ~80% of the measured Sia across all individuals or species was expressed by ~20% of the individuals or species. Lastly, as expected, we detected a minimal presence of 5-N-glycolylneuraminic acid in the avian RBCs tested. These data provide novel insights and a large baseline dataset for further study on the variability of Sia in the class Aves which might be useful for understanding Sia dependent processes in birds. This dataset is not publicly accessible because: These data are not EPA-owned. It can be accessed through the following means: The data can be accessed by contacting the corresponding author of the manuscript. The corresponding author is Mark Jankowski (jankowski.mark@epa.gov). Alternatively, the data can be accessed by contacting the principle investigator of the funding entity, Jeanne Fair (jmfair@lanl.gov). Format: As described in the manuscript, several hundred birds were sampled to determine the quantity of sialic acid and the glycosidic linkage type present on the blood cell surface of those sampled birds. The information was used to summarize the variation of sialic acid on avian red blood cells from an individual and a phylogenetic perspective. Therefore, the dataset includes all sample identification information including date and location of sample acquisition, bird taxonomic information, and sialic acid results. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518766",
      "keyword": [
        "Birds",
        "Phylogenetic",
        "Sialic Acid",
        "Avian Influenza",
        "Plasmodium",
        "Receptor"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [],
      "modified": "2019-08-22",
      "references": [
        "https://dx.doi.org/10.1016/j.cbpb.2019.110336"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FEGS Classification System Document Analysis for Estuary Programs",
      "description": "List of keywords used to classify FEGS, Beneficiaries, and Environment in document analysis of estuary management programs, as well as counts of the number of plans which were flagged as mentioning each subclass of FEGS/Beneficiariies/Environment. \n\nThis dataset is associated with the following publication:\nYee, S., A. Sullivan, K. Williams, and K. Winters. Who Benefits from National Estuaries? Applying the FEGS Classification System to Identify Ecosystem Services and their Beneficiaries.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(13): 2351, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1429346",
      "keyword": [
        "estuary management",
        "final ecosystem goods and services",
        "document analysis",
        "beneficiaries"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "AppendixB_FEGS_Combinations_Counts.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1429346/AppendixB_FEGS_Combinations_Counts.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AppendixA_Synonym List.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1429346/AppendixA_Synonym%20List.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-26",
      "references": [
        "https://doi.org/10.3390/ijerph16132351"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "metadata",
      "description": "mode of action classification. \n\nThis dataset is associated with the following publication:\nKienzler, A., K. Connors, M. Bonnell, M. Barron, A. Beasley, C. Inglis, T. NorbergKing, T. Martin, H. Sanderson, N. Vallotton, P. Wilson, and M. Embry. Mode of Action Classifications in the EnviroTox Database:  Development and Implementation of a Consensus MOA Classification.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 38(10): 2294-2304, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503668",
      "keyword": [
        "mode of action (MOA)"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://envirotoxdatabase.org/",
          "accessURL": "https://envirotoxdatabase.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-01",
      "references": [
        "https://doi.org/10.1002/etc.4531",
        "https://pasteur.epa.gov/uploads/10.23719/1503668/documents/Metadata%20description%20ScID%20A-msc1.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FL_Estuaries.zip and FL_Optics_data",
      "description": "Hyperspectral optical data for satellite remote sensing. \n\nThis dataset is associated with the following publication:\nCasey, K.A., C.S. Rousseaux, W.W. Gregg, E. Boss, A.P. Chase, S.E. Craig, C.B. Mouw, R.A. Reynolds, D. Stramski, S.G. Ackleson, A. Bricaud, B. Schaeffer, M.R. Lewis, and S. Maritorena. A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications.   Earth System Science Data. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 12(2): 1123–1139, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503860",
      "keyword": [
        "Ocean colour",
        "satellite",
        "hyperspectral",
        "remote sensing",
        "water-quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "FL_Optics_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503860/FL_Optics_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FL_Estuaries_updated.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503860/FL_Estuaries_updated.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-07",
      "references": [
        "https://doi.org/10.5194/essd-12-1123-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503860/documents/FL_estuaries_data_dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Particle and Volatile Organic Compound Emissions from a 3D Printer Filament Extruder",
      "description": "Data for Particle and Volatile Organic Compound Emissions from a 3D Printer Filament Extruder. \n\nThis dataset is associated with the following publication:\nByrley, P., A. Wallace, W. Boyes, and K. Rogers. Particle and volatile organic compound emissions from a 3D printer filament extruder.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 736: 139604, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518434",
      "keyword": [
        "extruder",
        "plastics",
        "VOCs",
        "3D Printer",
        "Ultrafine"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_ExtruderPaper_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518434/SciHub_ExtruderPaper_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139604"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linking Water Quality to Ae. aegypti nutrient and Zika ",
      "description": "This dataset contains the nutrient analysis (carbon, nitrogen, stable isotopes) for estuary water, leaf detritus, container habitat water, larvae within containers, and adult mosquitos, as well as the results of viral analysis for adult mosquitos collected in June 2016.  Adult mosquitos were collected and analyzed in June 2017. \n\nThis dataset is associated with the following publication:\nYee, S., D. Yee, R. DeJesus-Crespo, A. Oczkowski, F. Bai, and S. Friedman. Linking Water Quality to Aedes aegypti and Zika in Flood-Prone Neighborhoods.   EcoHealth. Springer, New York, NY, USA, 16: 191-209, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500932",
      "keyword": [
        "Aedes aegypti",
        "nitrogen",
        "carbon",
        "stable isotopes",
        "Zika"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "AdultSamples2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/AdultSamples2016.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EstuaryWaterSamples2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/EstuaryWaterSamples2016.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AdultSamples2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/AdultSamples2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LeafSamples2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/LeafSamples2016.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ContainerSamples2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/ContainerSamples2016.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-27",
      "references": [
        "https://doi.org/10.1007/s10393-019-01406-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1500932/documents/DataDictionary.csv",
        "mediaType": "text/csv"
      },
      "accessRights": "public"
    },
    {
      "title": "Rubbertown Passive VOC Dataset",
      "description": "Rubbertown Passive VOC Dataset. \n\nThis dataset is associated with the following publication:\nMukerjee, S., L. Smith, E. Thoma, D. Whitaker, K. Oliver, R. Duvall, and T. Cousett. Spatial analysis of volatile organic compounds using passive samplers in the Rubbertown industrial area of Louisville, Kentucky, USA.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, issue}: 81-86, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1505454",
      "keyword": [
        "air quality",
        "benzene",
        "epa method 325",
        "Louisville",
        "Passive sampler",
        "volatile organic compounds",
        "1-3 butadiene"
      ],
      "contactPoint": {
        "fn": "Shaibal Mukerjee",
        "hasEmail": "mailto:mukerjee.shaibal@epa.gov"
      },
      "distribution": [
        {
          "title": "Rubbertown VOC Dataset Batches 1-26 Final QA'd 032119.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1505454/Rubbertown%20VOC%20Dataset%20Batches%201-26%20Final%20QA%27d%20032119.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-21",
      "references": [
        "https://doi.org/10.1016/j.apr.2020.02.021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Alapaty-MPAS-cloud modeling data",
      "description": "This data generated by the MPAS model contains cloud macrophysical properties simulated by two scale-aware convective cloud schemes. This dataset is not publicly accessible because: This huge volume of data owned by NCAR and thus it is a non-EPA data. It can be accessed through the following means: contact the first author at NCAR, laura@ucar.edu. Format: netCDF data generated by the MPAS model",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518659",
      "keyword": [
        "Next generation atmospheric modeling",
        "deep convection",
        "scale-awareness",
        "precipitation cloud life cloud cover"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [],
      "modified": "2020-04-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating Arctic Temperature Impacts from Select European Residential Heating Appliances and Mitigation Strategies: Repository Data for all Tables and Figures",
      "description": "Data for all Tables and Figures - Estimating Arctic Temperature Impacts from Select European Residential Heating Appliances and Mitigation Strategies. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518754",
      "keyword": [
        "Black Carbon",
        "short-lived climate forcers",
        "Arctic climate change",
        "residential heating",
        "wood stoves",
        "emissions factors"
      ],
      "contactPoint": {
        "fn": "Marcus Sarofim",
        "hasEmail": "mailto:sarofim.marcus@epa.gov"
      },
      "distribution": [
        {
          "title": "Residential Heating BC Manuscript - Repository Data Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518754/Residential%20Heating%20BC%20Manuscript%20-%20Repository%20Data%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-04",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1518754/documents/Residential%20Heating%20BC%20Manuscript%20-%20Supplemental%20Material.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation Data Set",
      "description": "These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: File format: R workspace file; “Simulated_Dataset.RData”.\n\nMetadata (including data dictionary)\n•\ty: Vector of binary responses (1: adverse outcome, 0: control)\n•\tx: Matrix of covariates; one row for each simulated individual\n•\tz: Matrix of standardized pollution exposures\n•\tn: Number of simulated individuals\n•\tm: Number of exposure time periods (e.g., weeks of pregnancy)\n•\tp: Number of columns in the covariate design matrix\n•\talpha_true: Vector of “true” critical window locations/magnitudes (i.e., the ground truth that we want to estimate)\n\nCode\nAbstract\nWe provide R statistical software code (“CWVS_LMC.txt”) to fit the linear model of coregionalization (LMC) version of the Critical Window Variable Selection (CWVS) method developed in the manuscript. We also provide R code (“Results_Summary.txt”) to summarize/plot the estimated critical windows and posterior marginal inclusion probabilities.\n\nDescription\n“CWVS_LMC.txt”: This code is delivered to the user in the form of a .txt file that contains R statistical software code. Once the “Simulated_Dataset.RData” workspace has been loaded into R, the text in the file can be used to identify/estimate critical windows of susceptibility and posterior marginal inclusion probabilities.\n\n“Results_Summary.txt”: This code is also delivered to the user in the form of a .txt file that contains R statistical software code. Once the “CWVS_LMC.txt” code is applied to the simulated dataset and the program has completed, this code can be used to summarize and plot the identified/estimated critical windows and posterior marginal inclusion probabilities (similar to the plots shown in the manuscript). \n\nOptional Information (complete as necessary) \nRequired R packages:\n•\tFor running “CWVS_LMC.txt”:\n•\tmsm: Sampling from the truncated normal distribution\n•\tmnormt: Sampling from the multivariate normal distribution\n•\tBayesLogit: Sampling from the Polya-Gamma distribution\n•\tFor running “Results_Summary.txt”:\n•\tplotrix: Plotting the posterior means and credible intervals\nInstructions for Use\nReproducibility (Mandatory)\nWhat can be reproduced: The data and code can be used to identify/estimate critical windows from one of the actual simulated datasets generated under setting E4 from the presented simulation study.\n\nHow to use the information: \n•\tLoad the “Simulated_Dataset.RData” workspace\n•\tRun the code contained in “CWVS_LMC.txt”\n•\tOnce the “CWVS_LMC.txt” code is complete, run “Results_Summary.txt”. Format: Below is the replication procedure for the attached data set for the portion of the analyses using a simulated data set:\n\nData\nThe data used in the application section of the manuscript consist of geocoded birth records from the North Carolina State Center for Health Statistics, 2005-2008. In the simulation study section of the manuscript, we simulate synthetic data that closely match some of the key features of the birth certificate data while maintaining confidentiality of any actual pregnant women.\n\nAvailability\nDue to the highly sensitive and identifying information contained in the birth certificate data (including latitude/longitude and address of residence at delivery), we are unable to make the data from the application section publically available. However, we will make one of the simulated datasets available for any reader interested in applying the method to realistic simulated birth records data. This will also allow the user to become familiar with the required inputs of the model, how the data should be structured, and what type of output is obtained. While we cannot provide the application data here, access to the North Carolina birth records can be requested through the North Carolina State Center for Health Statistics, and requires an appropriate data use agreement.\n\nDescription\nPermissions: These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. \n\nThis dataset is associated with the following publication:\nWarren, J., W. Kong, T. Luben, and H. Chang. Critical Window Variable Selection: Estimating the Impact of Air Pollution on Very Preterm Birth.   Biostatistics. Oxford University Press, OXFORD,  UK,  1-30, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500927",
      "keyword": [
        "Bayesian variable selection",
        "critical windows",
        "linear model of coregionalization."
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2018-05-21",
      "references": [
        "https://doi.org/10.1093/biostatistics/kxz006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta data and supporting documentation",
      "description": "We include a description of the data sets in the meta-data as well as sample code and results from a simulated data set. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The R code is available on line here: https://github.com/warrenjl/SpGPCW. Format: Abstract \nThe data used in the application section of the manuscript consist of geocoded birth records from the North Carolina State Center for Health Statistics, 2005-2008. In the simulation study section of the manuscript, we simulate synthetic data that closely match some of the key features of the birth certificate data while maintaining confidentiality of any actual pregnant women.\n\nAvailability \nDue to the highly sensitive and identifying information contained in the birth certificate data (including latitude/longitude and address of residence at delivery), we are unable to make the data from the application section publicly available. However, we will make one of the simulated datasets available for any reader interested in applying the method to realistic simulated birth records data. This will also allow the user to become familiar with the required inputs of the model, how the data should be structured, and what type of output is obtained. While we cannot provide the application data here, access to the North Carolina birth records can be requested through the North Carolina State Center for Health Statistics and requires an appropriate data use agreement.\n\nDescription \nPermissions: These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. \n\nFile format: R workspace file.\n\nMetadata (including data dictionary)\n•\ty: Vector of binary responses (1: preterm birth, 0: control)\n•\tx: Matrix of covariates; one row for each simulated individual\n•\tz: Matrix of standardized pollution exposures\n•\tn: Number of simulated individuals\n•\tm: Number of exposure time periods (e.g., weeks of pregnancy)\n•\tp: Number of columns in the covariate design matrix\n•\talpha_true: Vector of “true” critical window locations/magnitudes (i.e., the ground truth that we want to estimate). \n\nThis dataset is associated with the following publication:\nWarren, J., W. Kong, T. Luben, and H. Chang. Critical Window Variable Selection: Estimating the Impact of Air Pollution on Very Preterm Birth.   Biostatistics. Oxford University Press, OXFORD,  UK,  1-30, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1503907",
      "keyword": [
        "fine particulate matter (PM2.5)",
        "preterm birth",
        "critical windows"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2019-05-03",
      "references": [
        "https://doi.org/10.1093/biostatistics/kxz006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reported photolysis products (DB-J-ENV and DB-EFSA-ENV)",
      "description": "The dataset file contains a list of parent compound names and standardized SMILES strings for both the parent compounds and reported transformation products.  The data in the DB-J-ENV tab was compiled from journal publications, and the data in the DB-EFSA-ENV tab was compiled from European Food Safety Authority (EFSA) reports. \n\nThis dataset is associated with the following publication:\nYuan, C., C. Stevens, and E. Weber. Reaction Library to Predict Direct Photochemical Transformation Products of Environmental Organic Contaminants in Sunlit Aquatic Systems.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(12): 7271–7279, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517594",
      "keyword": [
        "photolysis",
        "photochemical",
        "environmental transformations",
        "phototransformations",
        "predictive models",
        "cheminformatics",
        "reaction library"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "Product_Structure_Datafile.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517594/Product_Structure_Datafile.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-09",
      "references": [
        "https://doi.org/10.1021/acs.est.0c00484"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Greenhouse Gas Industry Attribution Model",
      "description": "The National Greenhouse Gas Industry Attribution Model is dynamic model that attributes US Greenhouse Gas (GHG) emissions as reported in the US GHG Inventory [1] to industry sectors as classified by the Bureau of Economic Analysis in the 2012 detail benchmark input-output tables [2]. The model is valid for years 2010-2016 and uses the EPA GHG Inventory published in 2018. Data quality score associated with the EPA DQ system [3] for data reliability and technological correlation are assigned as described in Yang et al. 2017, Supporting Information 1 [4]. This model builds upon the USEEIO v1.1 GHG satellite table [5] and the Yale Center for Industrial Ecology USEEIO extensions v2.1 [6]. See the Documentation sheet in the file for a summary table describing the industry attribution approach to each USEPA GHGI emission item.\n\nReferences\n1. USEPA, 2020. Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2018. https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016\n2. BEA, 2019a. Input-Output Accounts Data. https://www.bea.gov/industry/input-output-accounts-data\n3. USEPA. 2016. Guidance on Data Quality Assessment for Life Cycle Inventory Data (Report). US Environmental Protection Agency, National Risk Management Research Laboratory, Life Cycle Assessment Research Center. https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=321834\n4. Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M., Meyer, D.E., 2017. USEEIO: A New and Transparent United States Environmentally-Extended Input-Output Model. Journal of Cleaner Production 158, 308–318. https://doi.org/10.1016/j.jclepro.2017.04.150\n5. Ingwersen, W.W., Yang, Y., Gilkey, K., Li, M., 2017. USEEIOv1.1 - Satellite Tables. https://doi.org/10.23719/1365565\n6. Berrill, P., Miller, T.R., 2019. CIE USEEIO extensions v2.1. https://doi.org/10.5281/zenodo.3386529. \n\nThis dataset is associated with the following publication:\nIngwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1517571",
      "keyword": [
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "NationalGHGIndustryAttributionModel.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517571/NationalGHGIndustryAttributionModel.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities",
      "description": "Many organizations quantify greenhouse emissions in their value chain. Emissions from purchased goods and services and capital goods, referred to as Scope 3 emissions in the Greenhouse Gas Protocol Scope 3 Accounting and Reporting Standard, represent a significant emissions source for many organizations. To assist in quantifying these emissions, we have developed a comprehensive set of supply chain emission factors covering all categories of goods and services in the US economy. These factors are intended for quantifying emissions from purchased goods and services using the spend-based method defined in the Greenhouse Gas Protocol Technical Guidance for Calculating Scope 3 Emissions. The factors were prepared using USEEIO models, which are a life cycle models of goods and services in the US economy.\n\nThe supply chain emission factors are presented in units of kilogram emissions per US dollar of purchases for a category of goods and services with a defined life cycle scope. Sets of factors covering all sectors of the economy are provided for years from 2010 to 2016 with two levels of sector aggregation. The factors are provided for both industries and commodities, where commodities are equivalent to a category of good or service, and industries are producers of one or more commodities. A set of five data quality scores covering data reliability, temporal, geographical and technological correlation and completeness of data collection is provided along with each factor.\n\nThe factors presented are as follows:\n1. Supply Chain Emission Factors without Margins: emissions associated with cradle to factory gate\n2. Margins of Supply Chain Emission Factors: emissions associated with factory gate to shelf, which includes emissions from transportation, wholesale and retail as well as adjustments for price markups\n3. Supply Chain Emission Factors with Margins: emissions associated with cradle to shelf (equal to the sum of the above two factors)\n\nEnd users of products will likely find the Supply Chain Emission Factors with Margins most appropriate for their use. Organizations purchasing intermediate products at the factory gate will likely find the Supply Chain Emission Factors without Margins to be most appropriate.\n\nSee the Executive Summary of the associated report for an example calculation using the factors.\n\nAll factors are associated with limitations and variations in underlying data quality. We encourage the reader to carefully read the report to understand the differences across these sets, underlying assumptions in their calculation, their limitations to decide if they are appropriate for their intended use. If the reader deems the factors are appropriate, this report along with the factor data quality scores will aid in selection of factors best fit for their intended use. \n\nThis dataset is associated with the following publication:\nIngwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1517796",
      "keyword": [
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplyChainEmissionFactorsforUSIndustriesCommodities.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517796/SupplyChainEmissionFactorsforUSIndustriesCommodities.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LMR diatom metabarcoding 2016",
      "description": "DNA barcoding gene sequences and files associated with their analysis",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504034",
      "keyword": [
        "Algae",
        "biodiversity",
        "rbcL",
        "phosphorus",
        "nitrogen",
        "thresholds"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [
        {
          "title": "LMR_Stats_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504034/LMR_Stats_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Logistics Network Management of Livestock Waste for Spatiotemporal Control of Nutrient Pollution in Water Bodies",
      "description": "The data set contains data required to run the logistics network, nutrient fate and transport, and algae growth models: geographical nodes, nutrient and product demand data, nutrient limit  in agricultural land, nutrient emission factor of waste, technology design and capacity data, nutrient source inventory location and capacity, algae cell data, waterbody reservoir temperature profile, weather data, and other parameters described in the manuscript's Figure 5 (data flow of the modeling framework). \n\nThis dataset is associated with the following publication:\nHu, Y., A.M. Sampat, G.J. Ruiz-Mercado, and V.M. Zavala. Logistics Network Management of Livestock Waste for Spatiotemporal Control of Nutrient Pollution in Water Bodies.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 7(22): 18359-18374, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504016",
      "keyword": [
        "supply chain",
        "organic waste",
        "quantitative indicators",
        "multi-criterion decision making analysis",
        "sustainability analysis",
        "modeling and optimization",
        "nutrient pollution",
        "Harmful Algal Bloom (HAB)",
        "energy recovery"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Data List for Logistics Network Management of Livestock Waste for Spatiotemporal Control of Nutrient Pollution in Water Bodies.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504016/Data%20List%20for%20Logistics%20Network%20Management%20of%20Livestock%20Waste%20for%20Spatiotemporal%20Control%20of%20Nutrient%20Pollution%20in%20Water%20Bodies.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs",
          "accessURL": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-20",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.9b03920"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 1: Association between cytokines assessed in EBC and the clinical outcomes of CPIS and CXRAY using a generalized estimating equations model",
      "description": "Association between cytokines assessed in EBC and the clinical outcomes of CPIS and CXRAY using a generalized estimating equations model. CPIS = clinical pulmonary infection score; CXRAY = chest radiograph score. \n\nThis dataset is associated with the following publication:\nDavis, M., B. Winters, M. Madden, J. Pleil, C. Sessler, A. Wallace, C. Ward-Caviness, and A. Montpetit. Exhaled breath condensate biomarkers in critically ill, mechanically ventilated patients..   Journal of Breath Research. Institute of Physics Publishing, Bristol,  UK, 15(1): 1752-7163, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518894",
      "keyword": [
        "exhaled breath condensate",
        "sepsis",
        "mechanically ventilated",
        "intensive care unit",
        "cytokines"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Supp Table 1 - associations for gee outcomes (002).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518894/Copy%20of%20Supp%20Table%201%20-%20associations%20for%20gee%20outcomes%20%28002%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-16",
      "references": [
        "https://doi.org/10.1088/1752-7163/abc235"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518894/documents/Data%20dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 2: Associations between cytokines assessed in EBC and the outcomes of Death, Pneumonia, and Sepsis. ",
      "description": "Associations between cytokines assessed in EBC and the outcomes of Death, Pneumonia, and Sepsis. An odds ratio greater than 1 is indicative of a positive association between the cytokine and the outcome; an odds ratio equal to 1 indicates that the cytokine and the outcome are independent of one another; an odds ratio of less than 1 is indicative of a negative correlation between the cytokine and the outcome. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518895",
      "keyword": [
        "exhaled breath condensate",
        "sepsis",
        "mechanically ventilated",
        "intensive care unit",
        "cytokines"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Supp Table 2 - associations for non gee outcomes (002).pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518895/Copy%20of%20Supp%20Table%202%20-%20associations%20for%20non%20gee%20outcomes%20%28002%29.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518895/documents/Data%20dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "ScID_A-d51q_Biochemical effects of nano copper in HepG2 cells_kitchin",
      "description": "transformed raw data of biochemical paramiters. \n\nThis dataset is associated with the following publication:\nKitchin, K., J. Richards, B. Robinette, K. Wallace, N.H. Coates, B. Castellon, E. Grulke, J. Kou, and R. Varma. Biochemical Effects of Silver Nanomaterials in Human Hepatocellular Carcinoma (HepG2) Cells.   Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 20(9): 5833-5858, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1435608",
      "keyword": [
        "Cu",
        "CuO",
        "HepG2",
        "liver",
        "oxidative stress",
        "nanomaterial",
        "Nanoparticle"
      ],
      "contactPoint": {
        "fn": "Kirk Kitchin",
        "hasEmail": "mailto:kitchin.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "ScID_A-d51q_Biochemical effects of nano copper in HepG2 cells_kitchin.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435608/ScID_A-d51q_Biochemical%20effects%20of%20nano%20copper%20in%20HepG2%20cells_kitchin.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-02",
      "references": [
        "https://doi.org/10.1166/jnn.2020.17858"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1435608/documents/ScID_A-d51q_Biochemical%20effects%20of%20nano%20copper%20in%20HepG2%20cells_kitchin.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data Package from Benchmarking a Toyota A25A-FKS Engine at EPA NVFEL",
      "description": "Data generated from this project are collected from a 4-cylinder, 2.5-liter, naturally aspirated, Atkinson Cycle engine with cooled exhaust gas recirculation (cEGR). The engine was tested by the National Center for Advanced Technology (NCAT), part of EPA’s National Vehicle and Fuel Emissions Laboratory (NVFEL) in Ann Arbor, Michigan, using laboratory test equipment and methods to characterize engine controls, fuel consumption, and emissions. Data from this engine are part of a benchmarking and testing project to assess the effectiveness of numerous advanced low emitting and low fuel consuming light-duty vehicles, engines and transmissions. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518917",
      "keyword": [
        "A25A-FKS",
        "NCAT",
        "benchmarking",
        "efficiency map",
        "CO2 reduction",
        "Atkinson",
        "cooled EGR",
        "GHG",
        "mpg",
        "fuel saving",
        "engine",
        "CO2"
      ],
      "contactPoint": {
        "fn": "Mark Stuhldreher",
        "hasEmail": "mailto:stuhldreher.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/sites/production/files/2020-05/2018-toyota-2.5l-a25a-fks-engine-tier2-fuel-test-data-package-dated-04-16-20.zip",
          "accessURL": "https://www.epa.gov/sites/production/files/2020-05/2018-toyota-2.5l-a25a-fks-engine-tier2-fuel-test-data-package-dated-04-16-20.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-16",
      "references": [
        "https://dx.doi.org/10.4271/2019-01-0249"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Visualization and Control Strategy for Dynamic Minimization of Chemical Process Releases. Performance indicator, process variables, and time for case a study of fermentation for bioethanol production. All data are computer simulation results.",
      "description": "The dataset files contain the dynamic (time sets) chemical process simulation results (mass flows, temperature profiles), performance indicators, concentration profiles of different components for the production of bio-ethanol (2 case studies of a fermentation process with different dilution rates) with and without a novel process control strategy for releases reduction. The datasets show all data values used to generate each of the figures. \n\nThis dataset is associated with the following publication:\nLi, S., G.J. Ruiz-Mercado, and F.V. Lima. A Visualization and Control Strategy for Dynamic Sustainability of Chemical Processes.   Processes. MDPI AG, Basel,  SWITZERLAND, 8(3): 310, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517806",
      "keyword": [
        "quantitative indicators",
        "emission control strategies",
        "Time activity",
        "life cycle inventory",
        "Chemical Safety for Sustainability",
        "chemical manufacturing",
        "Life Cycle Environmental Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasets - A Visualization and Control Strategy for Dynamic Minimization of Chemical Process Releases.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517806/Datasets%20-%20A%20Visualization%20and%20Control%20Strategy%20for%20Dynamic%20Minimization%20of%20Chemical%20Process%20Releases.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-18",
      "references": [
        "https://doi.org/10.3390/pr8030310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessment of NO2 observations during DISCOVER-AQ and KORUS-AQ field campaigns",
      "description": "These data include three-dimensional meteorological (WRF) and air quality (CMAQ) model output for 4-km and 2-km domains covering the San Joaquin Valley (SJV) of California for January and February of 2013. The WRF and CMAQ parameters used in the analysis presented in the research effort are listed in the attached spreadsheet. The WRF/CMAQ data themselves are located on EPA's asm tape archive in the directories below. These data are available upon request from the authors, specifically K. Wyat Appel (appel.wyat@epa.gov).\n\n/asm/MOD3EVAL/DISCOVERAQ/SJV/DISCOVERAQ_SJV_4km_CMAQv52_Jul19_CB6_NewEmis\n/asm/MOD3EVAL/DISCOVERAQ/SJV/output_sf_SJV_2km_CMAQv52_CB6_Jul192017rel_NewEmis. \n\nThis dataset is associated with the following publication:\nChoi, S., L. Lok, J. Joiner, N. Krotkov, M. Follette-Cook, W. Swartz, K. Pickering, C. Loughner, K.W. Appel, G. Pfister, P. Saide, R. Cohen, A.  Weinheimer, and J. Herman. Assessment of NO2 Observations during DISCOVER-AQ and KORUS-AQ Field Campaigns.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 13(5): 2523–2546, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518741",
      "keyword": [
        "CMAQ",
        "WRF",
        "DISCOVER-AQ",
        "KORUS-AQ",
        "fine scale modeling",
        "urban scale modeling",
        "air quality model applicaiton",
        "pm2.5",
        "Ozone",
        "NOx",
        "NO",
        "NO2",
        "air quality",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "WRFCMAQ_v52_DISCOVER-AQ_CA_4km_2km_variable_list_used_CHOI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518741/WRFCMAQ_v52_DISCOVER-AQ_CA_4km_2km_variable_list_used_CHOI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-08-19",
      "references": [
        "https://doi.org/10.5194/amt-13-2523-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518741/documents/AppelKeith_A-8pkg_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting data for article titled \"An Efficient Statistical Approach to Develop IDF Curves for Precipitation and Runoff under Future Climate\"",
      "description": "Attached spreadsheets contain datasets used in developing the article titled \"An Efficient Statistical Approach to Develop IDF Curves for Precipitation and Runoff under Future Climate\". \n\nThis dataset is associated with the following publication:\nButcher, J.B., T. Zi, B.R. Pickard, S.C. Job, T.E. Johnson, and B.A. Groza. Efficient Statistical Approach to Develop Intensity-duration-frequency Curves for Precipitation and Runoff under Future Climate.   CLIMATIC CHANGE. Springer, New York, NY, USA, 164(1-2): 3, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517600",
      "keyword": [
        "stormwater",
        "Rainfall",
        "climate",
        "intensity"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Butcher_DetentionBypass_LAX_Supporting Data_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517600/Butcher_DetentionBypass_LAX_Supporting%20Data_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Butcher_DetentionBypass_Summary_Supporting Data_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517600/Butcher_DetentionBypass_Summary_Supporting%20Data_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Butcher_PrecipitationFuture_SupportingData_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517600/Butcher_PrecipitationFuture_SupportingData_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-16",
      "references": [
        "https://doi.org/10.1007/s10584-021-02963-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "metadata",
      "description": "The dataset consists of public domain acute and chronic toxicity and chemistry data for algal species. Data are accessible at: https://envirotoxdatabase.org/\nData include algal species, chemical identification, and the concentrations that do and do not affect algal growth.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518486",
      "keyword": [
        "Algae",
        "aquatic toxicity",
        "chronic toxicity",
        "Hazard data"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://envirotoxdatabase.org/",
          "accessURL": "https://envirotoxdatabase.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dataset description for algal manuscript.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518486/dataset%20description%20for%20algal%20manuscript.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroToxUserGuide_November2018.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518486/EnviroToxUserGuide_November2018.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: A Thermodynamic Feasibility Model for Optimal Struvite Production as a Technology for Nutrient Recovery from Livestock Waste",
      "description": "The data set contains data required to obtain the composition probability density distribution results of digestate composition, model validation, Monte Carlo simulation samples for digestate composition of Magnesium (Mg), Calcium (Ca), alkalinity, and their influence in struvite formation. Also, the model prediction results of struvite formation for Mg, Ca, and alkalinity values. \n\nThis dataset is associated with the following publication:\nMartín-Hernández, E., G.J. Ruiz-Mercado, and M. Martín. Model-driven spatial evaluation of nutrient recovery from livestock leachate for struvite production.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 271: 110967, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504061",
      "keyword": [
        "struvite",
        "Thermodynamic",
        "manure",
        "Nutrient removal/recovery",
        "supply chain",
        "organic waste",
        "quantitative indicators",
        "multi-criterion decision making analysis",
        "sustainability analysis",
        "modeling and optimization",
        "nutrient pollution",
        "Harmful Algal Bloom (HAB)",
        "energy recovery"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for manuscript A Thermodynamic Feasibility Model for Struvite production from Livestock waste.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504061/Dataset%20for%20manuscript%20A%20Thermodynamic%20Feasibility%20Model%20for%20Struvite%20production%20from%20Livestock%20waste.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-12",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.110967"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, United States ",
      "description": "Technique and resulting data for the identification of disturbed and inundated areas within the Mid-Atlantic region, data inputs, disturbance maps, and accuracy/validation assessments. \n\nThis dataset is associated with the following publication:\nVanderhoof, M.K., J. Christensen, Y.G. Beal, B. DeVries, M.W. Lang, N. Hwang, C. Mazzarella, and J.W. Jones. Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S..   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(9): 1464, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518474",
      "keyword": [
        "Wetland Loss",
        "disturbance",
        "inundation",
        "cloud computing"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9ODILGN",
          "accessURL": "https://doi.org/10.5066/P9ODILGN",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-10",
      "references": [
        "https://doi.org/10.3390/rs12091464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nooksack River Basin N budget",
      "description": "Information used to construct a nitrogen budget for the Nooksack River Watershed.  \nThe data includes the following four tables: \nTable 1: Annual N Fluxes in the Nooksack River Watershed.\nTable 2: Calculated annual fish body mass (kg) in the Nooksack River Watershed.  \nTable 3: Mean total nitrogen deposition (kg) of different land uses in the watershed, US portion and Canadian portion. \nTable 4: US portion of the Nooksack River Watershed: crop types, area, annual harvest N, available soil N, annual recommended crop N uptake rates, and proportional contributions of manure and synthetic fertilizer N, respectively.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1506001",
      "keyword": [
        "phosphorus",
        "nutrients",
        "watersheds",
        "balance",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata-Nooksack River Basin N budget dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506001/Metadata-Nooksack%20River%20Basin%20N%20budget%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nooksack River Basin N budget dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506001/Nooksack%20River%20Basin%20N%20budget%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of metamorphic success in model amphibian Xenopus laevis",
      "description": "These data are represented in tables and graphs in the article, \"Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of metamorphic success in model amphibian Xenopus laevis\" by JT Haselman et al. \n\nThis dataset is associated with the following publication:\nHaselman, J., J. Olker, P. Kosian, J. Korte, J. Swintek, J. Denny, J. Nichols, J. Tietge, M. Hornung, and S. Degitz. Targeted pathway-based in vivo testing using thyroperoxidase inhibition to evaluate plasma thyroxine as a surrogate metric of metamorphic success in model amphibian Xenopus laevis.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  175(2): 236-250, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504195",
      "keyword": [
        "thyroid",
        "adverse outcome pathway",
        "Xenopus laevis",
        "Thyroperoxidase"
      ],
      "contactPoint": {
        "fn": "Jonathan Haselman",
        "hasEmail": "mailto:haselman.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Haselman_et_al_2019_data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504195/Haselman_et_al_2019_data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-21",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Muche et al__Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed using SWAT",
      "description": "The dataset is excel file that contains data for figures in the manuscript. \n\nThis dataset is associated with the following publication:\nMuche, M., S. Sinnathamby, R. Parmar, C. Knightes, J. Johnston, K. Wolfe, T. Purucker, M. Cyterski, and D. Smith. Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 486-506, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502512",
      "keyword": [
        "gridded precipitation",
        "SWAT",
        "watershed modeling",
        "hydrology",
        "Kansas",
        "precipitation",
        "streamflow",
        "calibration"
      ],
      "contactPoint": {
        "fn": "Muluken Muche",
        "hasEmail": "mailto:muche.muluken@epa.gov"
      },
      "distribution": [
        {
          "title": "Muche etal_JAWRA_ Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed using SWAT_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502512/Muche%20etal_JAWRA_%20Comparison%20and%20Evaluation%20of%20Gridded%20Precipitation%20Datasets%20in%20a%20Kansas%20Agricultural%20Watershed%20using%20SWAT_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-05",
      "references": [
        "https://doi.org/10.1111/1752-1688.12819"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502512/documents/MucheMuluken_PrecipitationEvaluation_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": " Primary sources of PAHs to Great Lakes tributaries using multiple lines-of-evidence",
      "description": "No data will be attached, all data are provided in either the paper or its supporting information (see tables and supporting information). This dataset is not publicly accessible because: USGS deleveloped and managed all data associated with this paper. It can be accessed through the following means: All data are provided in either the paper or its supporting information (see tables and supporting information. Format: No data will be attached, all data are provided in either the paper or its supporting information (see tables and supporting information). \n\nThis dataset is associated with the following publication:\nBaldwin, A.K., S.R. Corsi, S.K. Oliver, P.L. Lenaker, M.A. Nott, M. Mills, G. Norris, and P. Paatero. Primary Sources of Polycyclic Aromatic Hydrocarbons to Streambed Sediment in Great Lakes Tributaries Using Multiple Lines of Evidence.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(7): 1392-1408, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517589",
      "keyword": [
        "Polycyclic aromatic hydrocarbons (PAHs)",
        "Sediment Toxicity",
        "Storm water runoff",
        "Coal-tar pavement sealant",
        "Positive matrix factorization (PMF)"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [],
      "modified": "2019-12-01",
      "references": [
        "https://doi.org/10.1002/etc.4727"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PiSCES Dataset",
      "description": "The Piscine Stream Community Estimation System (PiSCES) provides users with a hypothesized fish community for any stream reach in the conterminous United States using information obtained from Nature Serve, the US Geological Survey (USGS), StreamCat, and the Peterson Field Guide to Freshwater Fishes of North America for over 1000 native and non-native freshwater fish species. PiSCES can filter HUC8-based fish assemblages based on species-specific occurrence models; create a community abundance/biomass distribution by relating relative abundance to mean body weight of each species; and allow users to query its database to see ancillary characteristics of each species (e.g., habitat preferences and maximum size). Future efforts will aim to improve the accuracy of the species distribution database and refine/augment increase the occurrence models. The PiSCES tool is accessible at the EPA's Quantitative Environmental Domain (QED) website at https://qed.epacdx.net/pisces/. \n\nThis dataset is associated with the following publication:\nCyterski, M., C. Barber, M. Galvin, R. Parmar, J. Johnston, D. Smith, A. Ignatius, L. Prieto, and K. Wolfe. PiSCES: Pi(scine) Stream Community Estimation System.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   127: 104703, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518775",
      "keyword": [
        "Fish distributions",
        "community structure",
        "Community size spectra",
        "Fish community bioassessment data",
        "Web services."
      ],
      "contactPoint": {
        "fn": "Michael Cyterski",
        "hasEmail": "mailto:cyterski.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Figure7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Figure8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Table1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Figure6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table3a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Table3a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table3b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518775/Table3b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-01",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2020.104703"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Examining NTA Performance and Potential Using Fortified and Reference House Dust as Part of EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)",
      "description": "The current study focuses on the analysis of SRM 2585 extracts that were distributed as part of ENTACT. It further introduces a separate recovery experiment, using SRM 2585, designed to shed light on factors that affect analyte loss during extraction, cleanup, instrumental analysis, and data processing. Many compounds have been measured and reported in SRM 2585 to date; cross-referencing these compounds against those detected via NTA provides a unique means with which to critically evaluate NTA performance in a real-world context. The recovery experiment described herein further informs factors (e.g., matrix, extraction procedures) that influence compound identification using NTA. Finally, by analyzing the same mixture of compounds at different concentrations and in the presence and absence of dust matrix, the performance of NTA is evaluated here from a quantitative perspective, rather than a typical qualitative perspective. \n\nThis dataset is associated with the following publication:\nNewton, S., J. Sobus, E. Ulrich, R. Singh, A. Chao, J. McCord, S. Laughlin-Toth, and M. Strynar. Examining NTA Performance and Potential Using Fortified and Reference House Dust as Part of EPA's Non-Targeted Analysis Collaborative Trial (ENTACT).   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 412: 4221–4233, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518759",
      "keyword": [
        "Dust",
        "exposomics",
        "non-targeded analysis",
        "suspect screening",
        "EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)",
        "high resolution mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Seth Newton",
        "hasEmail": "mailto:newton.seth@epa.gov"
      },
      "distribution": [
        {
          "title": "ENTACT Env Paper SI figures SCIENCEHUB 200622.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518759/ENTACT%20Env%20Paper%20SI%20figures%20SCIENCEHUB%20200622.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ENTACT Env SI Tables SCIENCEHUB 200622.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518759/ENTACT%20Env%20SI%20Tables%20SCIENCEHUB%20200622.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-06",
      "references": [
        "https://doi.org/10.1007/s00216-020-02658-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Respirometry, Biochemistry and Carbonate Chemistry",
      "description": "Data includes water quality and carbonate chemistry parameters measured during the experiment (temperature, salinity, dissolved oxygen, pH, total alkalinity and pCO2), oxygen consumption rates of fish (respirometry) as well as several biochemical endpoints related to anaerobic metabolism (Lactate Dehydrogenase), oxidative stress (protein carbonyl formation, Superoxide dismutase and Catalase), and acid-base homeostasis (Carbonic Anhydrase and Na+/K+ ATPase activity). \n\nThis dataset is associated with the following publication:\nEnzor, L., C. Hankins, M. Frazier, E. Moso, S. Raimondo, and M. Barron. Elevated pCO2 and hypoxia alter the acid-base regulation of developing sheepshead minnows Cyprinodon variegatus.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 636: 157-168, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503407",
      "keyword": [
        "acidification",
        "Hypoxia",
        "Sheepshead minnow",
        "oxygen consumption",
        "acid-base balance"
      ],
      "contactPoint": {
        "fn": "Laura Enzor",
        "hasEmail": "mailto:enzor.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "Respirometry, biochemistry and carbonate chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503407/Respirometry%2C%20biochemistry%20and%20carbonate%20chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-12",
      "references": [
        "https://doi.org/10.3354/meps13220"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503407/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Naphthalene PBPK Model with Inhalation and Skin Routes of Exposure",
      "description": "This data set includes source code that implements a PBPK model for naphthalene that allows for inhalation and skin routes of exposure. It also includes data previously published by Kim et al. (2006) that were used to calibrate and evaluate the model. The model is described in a paper that is in review at the journal Toxicological Sciences.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1519044",
      "keyword": [
        "naphthalene",
        "skin",
        "mathematical model",
        "partial differential equation model",
        "PBPK model",
        "inhalation"
      ],
      "contactPoint": {
        "fn": "Dustin Kapraun",
        "hasEmail": "mailto:kapraun.dustin@epa.gov"
      },
      "distribution": [
        {
          "title": "R_and_MCSim_installation_instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519044/R_and_MCSim_installation_instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kapraun2020_naphthalene_pbpk_model_instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519044/Kapraun2020_naphthalene_pbpk_model_instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kapraun2020_naphthalene_pbpk_model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519044/Kapraun2020_naphthalene_pbpk_model.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Shrestha et al 20xx_Data Set",
      "description": "Microbial source tracking, fecal indicator, and precipitation data sets. \n\nThis dataset is associated with the following publication:\nShrestha, A., C. Kelty, M. Sivaganesan, O. Shanks, and S. Dorevitch. Fecal pollution source characterization at non-point source impacted beaches under dry and wet weather conditions.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 182: 116014, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518407",
      "keyword": [
        "Microbial Source Tracking",
        "fecal indicator bacteria",
        "precipitation",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Shrestha et al 20xx_Data Set.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518407/Shrestha%20et%20al%2020xx_Data%20Set.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-25",
      "references": [
        "https://doi.org/10.1016/j.watres.2020.116014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rajib2019_UMRB_WRR2020",
      "description": "The dataset includes information to make Figures 1 through 6 of the manuscript. \n\nThis dataset is associated with the following publication:\nRajib, A., H. Golden, C. Lane, and Q. Wu. Surface Depression and Wetland Water Storage Improves Major River Basin Hydrologic Predictions.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 56(7): e2019WR026561, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504441",
      "keyword": [
        "wetlands",
        "Watershed hydrology",
        "surface water",
        "river basin",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Rajib2019WRRScienceHubSubmission_5.19.20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504441/Rajib2019WRRScienceHubSubmission_5.19.20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-30",
      "references": [
        "https://doi.org/10.1029/2019wr026561"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trifluralin measurements",
      "description": "The dataset comprises ten data tables as well as a contents table.  Data tables provide information on RT-qPCR primers and assay conditions, significantly altered metabolites, canonical pathways, upstream regulators, and biological functions for both Danio rerio and Xenopus laevis. \n\nThis dataset is associated with the following publication:\nAwkerman, J., C. Lavelle, W. Henderson, B. Hemmer, C. Lilavois, P. Harris, N. Zielinski, M. Hoglund, D. Glinski, D. MacMillan, J. Ford, R. Seim, E. Moso, and S. Raimondo. Cross-Taxa Distinctions in Mechanisms of Developmental Effects for Aquatic Species Exposed to Trifluralin.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,  1-16, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504286",
      "keyword": [
        "amphibian",
        "trifluralin",
        "development"
      ],
      "contactPoint": {
        "fn": "Jill Awkerman",
        "hasEmail": "mailto:awkerman.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementalETCrevised.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504286/SupplementalETCrevised.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-05",
      "references": [
        "https://doi.org/10.1002/etc.4758"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benthic Community and sediment data from Pensacola Bay, Florida 2016",
      "description": "Data is in support of a survey of benthic communities in across a salinity gradient Pensacola Bay during Summer 2016. Data describe the fauna community composition and corresponding sediment parameters (including sediment grain size and trace metal concentrations). Benthic habitat condition is estimated using benthic index approaches developed for Gulf estuaries (GOM B-IBI and EMAP-E).  All taxonomic nomenclature follows the World Register of Marine Species (http://www.marinespecies.org/). Samples were collected using a 232 cm2 surface area box corer, and 0.5-mm mesh sieve. \n\nThis dataset is associated with the following publication:\nNestlerode, J., M. Murrell, J. Hagy, L. Harwell, and J. Lisa. Bioassessment of a Northwest Florida Estuary Using Benthic Macroinvertebrates.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 16(2): 245-256, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1500941",
      "keyword": [
        "bioassessment",
        "Benthic Infauna",
        "Gulf of Mexico (GOM)",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Janet Nestlerode",
        "hasEmail": "mailto:nestlerode.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "Nestlerode et al 2018 for science hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500941/Nestlerode%20et%20al%202018%20for%20science%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-15",
      "references": [
        "https://doi.org/10.1002/ieam.4209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DengueWetlands_Data",
      "description": "The data used for conducting our analysis and creating our maps as described in our methods section. \n\nThis dataset is associated with the following publication:\nYee, S., P. Mendez-Lazaro, and R. DeJesus-Crespo. Linking Wetland Ecosystem Services to Vector-borne Disease: Dengue Fever in the San Juan Bay Estuary, Puerto Rico.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 39(6): 1281-1293, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1393506",
      "keyword": [
        "percent flood",
        "median richness",
        "road density",
        "sewage density",
        "percent teenagers",
        "percent wetland",
        "population density",
        "Coastal Wetlands",
        "Ecosystem Goods and Services",
        "Vector Borne Diseases"
      ],
      "contactPoint": {
        "fn": "Rebeca De Jesus Crespo",
        "hasEmail": "mailto:dejesus-crespo.rebeca@epa.gov"
      },
      "distribution": [
        {
          "title": "DengueWetlands_Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393506/DengueWetlands_Data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-19",
      "references": [
        "https://doi.org/10.1007/s13157-017-0990-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1393506/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Outdoor Sampling Paper Data Set",
      "description": "This data set presents surface sampling data and weather information for Bacillus atrophaeus spores, a surrogate for B. anthracis, from a 210-day outdoor study that evaluated the detection and recovery of spores using five different sampling methods: sponge sticks, 37 mm vacuum filter cassettes, residential wet vacuums, robotic floor cleaners, and grab samples of soil, leaves, and grass. \n\nThis dataset is associated with the following publication:\nMikelonis, A., A. Abdel-Hady, D. Aslett, K. Ratliff, A. Touati, J. Archer, S. Serre, L. Mickelsen, S. Taft, and W. Calfee. Comparison of surface sampling methods for an extended duration outdoor biological contamination study.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 192(455): 13, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518424",
      "keyword": [
        "bacillus atrophaeus",
        "Environmental sampling"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Dataset_Edison Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518424/SciHub%20Dataset_Edison%20Paper.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-10",
      "references": [
        "https://doi.org/10.1007/s10661-020-08434-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Michigan Lake Trout Mercury Carbon Nitrogen Stable Isotope Ratios 1978-2012 v1",
      "description": "Time-series of mercury, carbon, and nitrogen stable isotope ratios of Lake Michigan lake trout from the EPA Great Lakes Fish Monitoring and Surveillance Program.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503676",
      "keyword": [
        "stable isotopes",
        "invasive species",
        "food web",
        "mercury"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-s7hv_Dataset_20190319.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503676/HoffmanJoel_A-s7hv_Dataset_20190319.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regional design guide values based on Atlas-14",
      "description": "This dataset contains processed and modeling data on design storm (precipitation and wind) in the past and for projections.  The original data for modeling analysis were derived from the publicly available sources by other federal agencies as noted in the metadata and individual datasheets. \n\nThis dataset is associated with the following publication:\nLiang, M., S. Julius, Z. Dong, J. Neal, and Y. Yang. Assessing and Managing Design Storm Variability and Projection Uncertainty in a Changing Coastal Environment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 264: 110494, (2020).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504142",
      "keyword": [
        "Design storm",
        "system vulnerability",
        "climate projection",
        "water infrastructure",
        "coastal flooding",
        "climate adaptation",
        "urban infrastructure"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Regional design guide values.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Regional%20design%20guide%20values.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TS03 Error propagations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/TS03%20Error%20propagations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TS-3c wind at Kiptopeke.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/TS-3c%20wind%20at%20Kiptopeke.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/TS-3a%20wind%20at%20CB%20bridge.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TS-3b wind at SP.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/TS-3b%20wind%20at%20SP.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "F04 data for IDFsa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/F04%20data%20for%20IDFsa.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "! Copy of Navy ACM_data_all.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/%21%20Copy%20of%20Navy%20ACM_data_all.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Plot%20data_modeling_proj_Cambrdg_Op2.xlsx",
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        },
        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plot data_modeling_proj_R Oak_Op2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Plot%20data_modeling_proj_R%20Oak_Op2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plot data_modeling_proj_Salib_Op2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Plot%20data_modeling_proj_Salib_Op2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plot data_modeling_proj_Fred_Op2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Plot%20data_modeling_proj_Fred_Op2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!Plot data_modeling_proj_Nfolk_Op2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/%21Plot%20data_modeling_proj_Nfolk_Op2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plot data_modeling_proj_WilB_Op2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504142/Plot%20data_modeling_proj_WilB_Op2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-22",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.110494"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-5hqn_dataset_20180604",
      "description": "Data corresponding to the figures in the paper. \n\nThis dataset is associated with the following publication:\nJolin, W., M. Magnuson, and M. Kaminski. High Pressure Decontamination of Building Materials During Radiological Incident Recovery.   JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA, 208-209: 105858, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502510",
      "keyword": [
        "nuclear power plant",
        "pressure washing",
        "cesium",
        "Strontium",
        "americium",
        "europium",
        "urban",
        "Decontamination",
        "radiological"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-5hqn_dataset_20180604.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502510/MagnusonMatthew_A-5hqn_dataset_20180604.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-19",
      "references": [
        "https://doi.org/10.1016/j.jenvrad.2018.12.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-893d_dataset_20180816.xlsx",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nHaupert, L., and M. Magnuson. Numerical Model for Decontamination of Organic Contaminants in Polyethylene Drinking Water Pipes in Premise Plumbing by Flushing.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 145(7): 1-22, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502531",
      "keyword": [
        "flushing",
        "toluene",
        "decontamiation",
        "water infrastructure decontamination",
        "PEX",
        "polyethylene",
        "water security"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-893d_dataset_20180816.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502531/MagnusonMatthew_A-893d_dataset_20180816.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-16",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0001542"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Omaha Property Values and GI",
      "description": "In Omaha, NE, more than 25 GI projects have been completed to date, with several featuring GI practices in public parks. Using a repeat sales model , we examined the effect of GI on the value of nearby single-family homes, based on housing sales and characteristic data from 2000 to 2018. We evaluated the sales price for homes using a buffer zone of 0-0.5km, and three additional models: homes within 0-0.25km, 0.25-0.5km, and greater than 0.5km from parks where GI was installed for 25,472 sale pairs. In addition to the repeat sales model, we performed a hot spot analysis on several demographic characteristics to capture systematic differences at a smaller spatial scale and over a longer time period than the repeat sales model could capture. We used US Census data on race and household income to examine changing patterns over time and space, and a spatial lag Maximum Likelihood Estimation model to determine if the location of GI correlated with either of these demographics. \n\nThis dataset is associated with the following publication:\nHoover, F., J. Price, and M. Hopton. Examining the Effects of Green Infrastructure on Residential Sales Prices in Omaha, NE.   Urban Forestry & Urban Greening. Elsevier B.V., Amsterdam,  NETHERLANDS, 54: 126778, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504128",
      "keyword": [
        "repeat-sales",
        "ecosystem services",
        "residential property sales",
        "hedonic analysis",
        "Green Infrastructure",
        "scenario planning",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "RepeatSalesModel_RegressionData_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504128/RepeatSalesModel_RegressionData_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-07",
      "references": [
        "https://doi.org/10.1016/j.ufug.2020.126778"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Buse cbFtPCR_raw data compiled",
      "description": "This is a compiled data set for the qPCR analyses, bacterial enumeration analyses, and water quality parameters collected for this study. \n\nThis dataset is associated with the following publication:\nBuse, H., B. Morris, and E. Rice. Early detection of viable Francisella tularensis in environmental matrices byculture-based PCR.   BMC Microbiology. BioMed Central Ltd, London,  UK, 20(66): 15, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504591",
      "keyword": [
        "human pathogen",
        "potable water",
        "select agent",
        "molecular detection",
        "viability",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse cbFtPCR_raw data compiled.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504591/Buse%20cbFtPCR_raw%20data%20compiled.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-13",
      "references": [
        "https://doi.org/10.1186/s12866-020-01748-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical composition and disinfection by-product (DBP) formation of biofilms from reactors",
      "description": "There are two parts of data; 1) fluorescence excitation-emission matrices (EEMs) and 2) disinfection by-products (DBP) such as THM and HAA. \n\nThis dataset is associated with the following publication:\nLi, L., Y. Jeon, H. Ryu, J. Santo Domingo, and Y. Seo. Assessing the chemical compositions and disinfection byproduct formation of biofilms: Application of fluorescence excitation-emission spectroscopy coupled with parallel factor analysis.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 246: 125745, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504522",
      "keyword": [
        "biofilms",
        "Fluorescence excitation-emission matrix",
        "Disinfection by-products",
        "Correlation",
        "Engineered water systems"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "DBP_biofilm_data_Lei.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504522/DBP_biofilm_data_Lei.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-25",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2019.125745"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Contribution of Offshore Wind to the Power Grid: U.S. Air Quality Implications",
      "description": "Offshore wind (OSW) is an established technology in Europe, but it has not yet gained market share in the United States (U.S.). There is, however, increasing interest in and action supporting OSW development from many coastal states, predominantly along the Atlantic coast. As OSW grows in the U.S., as seems likely, it will displace existing and future generation assets. Depending on the energy resources used by those generators, emissions from the electric power sector will change. This research explores combinations of two energy sector drivers, OSW costs and carbon dioxide (CO2) mitigation stringency, to measure the changes in the energy mix and quantify OSW’s impact on the resulting emissions. This dataset is not publicly accessible because: This is a very large access file in a format specifically for the times model. It can be accessed through the following means: Contact Carol Lenox at lenox.carol@epa.gov. Format: The data resides in a number of excel files and in the corresponding TIMES model. \n\nThis dataset is associated with the following publication:\nBrowning, M., and C. Lenox. Contribution of Offshore Wind to the Power Grid: U.S. Air Quality Implications.   Applied Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 276: 115474, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518484",
      "keyword": [
        "energy",
        "systems analyses",
        "modeling",
        "Greenhouse gas",
        "air quality",
        "MARKAL"
      ],
      "contactPoint": {
        "fn": "Carol Lenox",
        "hasEmail": "mailto:lenox.carol@epa.gov"
      },
      "distribution": [],
      "modified": "2019-07-15",
      "references": [
        "https://doi.org/10.1016/j.apenergy.2020.115474"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518484/documents/OSW%20Data%20Tables%20and%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Performance and Characterization Data of a Degassed Anaerobic Membrane Biofilm Reactor Version 1",
      "description": "The goal of this study was to develop and evaluate an anerobic treatment system designed to overcome limitations associated with mass transfer resistances caused by fouling of dissolved methane recovery membranes in anaerobic membrane bioreactors. To this end, a novel attached growth anaerobic treatment system designed to emphasize the growth of the attached biofilm, rather than its removal, to optimize reactor performance. To accomplish this, a methane producing biofilm was developed on the shell side surface of submerged hollow fiber membranes, which allowed for immediate recovery of methane as it was produced, negating the liquid boundary layer and mass transfer fouling resistances.  Impacts of membrane surface treatment on biofilm development were investigated as well. Details of the performance and characterization of the anaerobic treatment system can be found in DAMBR_Performance_and_Characterization_Data.xlsx. \n\nThis dataset is associated with the following publication:\nCrone, B., G. Sorial, J. Pressman, H. Ryu, S. Keely, N. Brinkman, C. Bennett-Stamper, and J. Garland. Design and Evaluation of Degassed Anaerobic Membrane Biofilm Reactors for Improved Methane Recovery.   Bioresource Technology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 10: 100407, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504132",
      "keyword": [
        "anaerobic bioreactors",
        "wastewater",
        "net zero"
      ],
      "contactPoint": {
        "fn": "Brian Crone",
        "hasEmail": "mailto:crone.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "DAMBR_Perfomance_and_Characterization_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504132/DAMBR_Perfomance_and_Characterization_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-22",
      "references": [
        "https://doi.org/10.1016/j.biteb.2020.100407"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in Figures and Tables in this Research Effort",
      "description": "The data will explain the information that went into the figures. \n\nThis dataset is associated with the following publication:\nLytle, D., M. Tang, A. Francis, A. O'Donnell, and J. Newton. The Effect of Chloride, Sulfate, and Dissolved Inorganic Carbon on Iron Release from Cast Iron.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 183: 116037, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1506067",
      "keyword": [
        "iron corrosion",
        "water discoloration",
        "chloride",
        "sulfate",
        "bicarbonate",
        "molecular diffusion model"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Excel - Iron Pipe.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506067/Excel%20-%20Iron%20Pipe.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-02",
      "references": [
        "https://doi.org/10.1016/j.watres.2020.116037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BuseHelen_A-d51w_SciHub dataset",
      "description": "This dataset contains all the raw data as described in the accompanying published manuscript.  The data is organized by type (water quality, culture data, statistical data, and qPCR data) by sampling time point (Fall, Winter, Spring, or Summer followed by the year 2016, 2017, 2018, or 2019). \n\nThis dataset is associated with the following publication:\nBuse, H.Y., B. Morris, V. Gomez-Alvarez, J. Szabo, and J. Hall. Legionella Diversity and Spatiotemporal Variation in the Occurrence of Opportunistic Pathogens within a Large Building Water System.   PATHOGENS. MDPI AG, Basel,  SWITZERLAND, 9(567): 28, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518605",
      "keyword": [
        "temperature",
        "pH",
        "turbidity",
        "Heterotrophic Plate Count",
        "free chlorine",
        "total chlorine",
        "monochloramine",
        "colony forming units",
        "most probably number",
        "Quantitative Polymerase Chain Reaction",
        "opportunistic pathogen",
        "potable water",
        "first draw",
        "second draw",
        "Biofilm",
        "whole genome sequencing",
        "environmental monitoring",
        "Premise plumbing systems"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "BuseHelen_A-d51w_SciHub dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518605/BuseHelen_A-d51w_SciHub%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-29",
      "references": [
        "https://doi.org/10.3390/pathogens9070567"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data Characteristics",
      "description": "Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has been developed for 30 US communities for the United States Environmental Protection Agency (US EPA) EnviroAtlas. MULC data categorize the landscape into these land cover classes: impervious surface, tree, grass-herbaceous, shrub, soil-barren, water, wetland and agriculture. MULC data are used to calculate approximately 100 EnviroAtlas metrics that serve as indicators of nature’s benefits (ecosystem goods and services). MULC, a dataset for which development is ongoing, is produced by multiple classification methods using aerial photo and LiDAR datasets. The mean overall fuzzy accuracy across the EnviroAtlas communities is 88% and mean Kappa coefficient is 0.84. MULC is available in EnviroAtlas via web browser, web map service (WMS) in the user’s geographic information system (GIS), and as downloadable data at EPA Environmental Data Gateway. Fact Sheets and metadata for each MULC Community are available through EnviroAtlas. Some MULC applications include mapping green and grey infrastructure, connecting land cover with socioeconomic/demographic variables, street tree planting, urban heat island analysis, mosquito habitat risk mapping and bikeway planning. This article provides practical guidance for using MULC effectively and developing similar high resolution (HR) land cover data. \n\nThis dataset is associated with the following publication:\nPilant, D., K. Endres, D. Rosenbaum, and G. Gundersen. US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(12): 1909, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518915",
      "keyword": [
        "high spatial resolution land cover data",
        "remote sensing",
        "EnviroAtlas",
        "ecosystem services",
        "decision support",
        "image classification",
        "machine learning",
        "object-based image classification",
        "pixel-based image classification",
        "GIS",
        "1 meter pixel"
      ],
      "contactPoint": {
        "fn": "Andrew Pilant",
        "hasEmail": "mailto:pilant.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "pilant_mdpi_rs_dataTables_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518915/pilant_mdpi_rs_dataTables_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-01",
      "references": [
        "https://doi.org/10.3390/rs12121909"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-f1w2_dataset_20200228.xlsx",
      "description": "Data corresponding to the figures in the paper. \n\nThis dataset is associated with the following publication:\nXing, Y., J. Szabo, M. Magnuson, and W. Harper. Clustering, Morphology, and Treatment Resistance of Bacillus Globigii Spores Recovered from a Pilot-Scale Activated Sludge System.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 260( 127591): 6, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518368",
      "keyword": [
        "Spore resistance",
        "Atomic Force Microscopy",
        "pilot plant study",
        "imaging",
        "Bacillus globigii"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-f1w2_dataset_20200228.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518368/MagnusonMatthew_A-f1w2_dataset_20200228.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-28",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2020.127591"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IMPACT OF E-CIGARETTE FLAVORING AGENTS ON ACTIVITY OF MICROSOMAL RECOMBINANT CYP2A6, THE PRIMARY NICOTINE-METABOLIZING-ENZYME",
      "description": "Most of the data illustrates the effects that some e-cigarette flavoring agents, as well as some of the chemical components of those flavoring agents, directly have on the cytochrome P450 2A6 enzyme activity. \n\nThis dataset is associated with the following publication:\nWinters, B., T. Kochar, P. Clapp, I. Jaspers, and M. Madden. Impact of E-Cigarette Flavoring Agents on Activity of Microsomal Recombinant CYP2A6, The Primary Nicotine-Metabolizing-Enzyme.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 33(7): 1689-1697, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506082",
      "keyword": [
        "cellular volatiles",
        "high-throughput in vitro screening assay",
        "cytochromeP450"
      ],
      "contactPoint": {
        "fn": "Michael Madden",
        "hasEmail": "mailto:madden.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "data_summary fig 4   25nov2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506082/data_summary%20fig%204%20%20%2025nov2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_summary fig7  25nov2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506082/data_summary%20fig7%20%2025nov2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_summary fig 3   25nov2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506082/data_summary%20fig%203%20%20%2025nov2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_summary fig 5   25nov2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506082/data_summary%20fig%205%20%20%2025nov2019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-10",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.9b00514"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Contiguous Low Oxygen Waters Between the Continental Shelf Hypoxia Zone and Nearshore Coastal Waters of Louisiana, USA: Interpreting 30 Years of Profiling Data and Three-Dimensional Ecosystem Modeling",
      "description": "These data include field observations from Northern Gulf of Mexico research surveys from numerous research organizations between 1985 through 2015. Data also include hydrodynamic and water quality model data generated by the Coastal Generalized Ecosystem Model (CGEM) between 2003-2007. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519125",
      "keyword": [
        "nutrients",
        "Hypoxia",
        "Gulf of Mexico",
        "Water Quality Simulation Modeling"
      ],
      "contactPoint": {
        "fn": "Brandon Jarvis",
        "hasEmail": "mailto:jarvis.brandon@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig2_Nmax.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig2_Nmax.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig8_DTH_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig8_DTH_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3through4_Data_Laser.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig3through4_Data_Laser.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3through4_Data_LUMCONV2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig3through4_Data_LUMCONV2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3through4_Data_GED.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig3through4_Data_GED.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3through4_Data_SEAMAP.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig3through4_Data_SEAMAP.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3through4_Data_LATEX.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig3through4_Data_LATEX.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig5through7_matfiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig5through7_matfiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig1_StationShapefiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519125/Fig1_StationShapefiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zika Brownsville PYW SolarProject",
      "description": "This file contains statistics on the spatial clustering of the internal rate of return for residential rooftop solar over a 20 year period.  Specifically, the IRR per roof was calculated using solar irradiance profile and estimated cash flows for each house.  Spatial clustering was determined by using the the Getis Ord Gi* test from ArcGIS 10.5. \n\nThis dataset is associated with the following publication:\nMangiante, M., P. Whung, L. Zhou, A. Cepada, E. Campirano, D. Licon, R. Lawrence, and M. Torres. Economic and technical assessment of rooftop solar photovoltaic potential in Brownsville, Texas, U.S.A.   Computers, Environment and Urban Systems. Elsevier Science Ltd, New York, NY, USA, 80: 101450, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503036",
      "keyword": [
        "IRR",
        "Solar Potential",
        "Spatial Clustering",
        "Brownsville",
        "Residential rooftop photovoltaics",
        "Photovoltaic economic potential",
        "Internal rate of return",
        "LiDAR",
        "geographic information systems"
      ],
      "contactPoint": {
        "fn": "Pai-Yei Whung",
        "hasEmail": "mailto:whung.pai-yei@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IOD/PWHUNG_028092",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NERL_SED/IOD/PWHUNG_028092",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-31",
      "references": [
        "https://doi.org/10.1016/j.compenvurbsys.2019.101450"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS levels in blood serum in Wilmington, NC",
      "description": "PFAS concentrations in blood serum. This dataset is not publicly accessible because: Data is the property of the research leads (NC State University). It can be accessed through the following means: Contact Jane Hoppin of NC State University (jahoppin@ncsu.edu). Format: Data is quantitative measurements of blood serum levels for PFAS levels in human serum formated as MS Raw files and instrument vendor quantification files. \n\nThis dataset is associated with the following publication:\nKotlarz, N., J. McCord, D. Collier, C.S. Lea, M. Strynar, A. Lindstrom, A.A. Wilkie, J.Y. Islam, K. Matney, P. Tarte, M. Polera, K. Burdette, J. DeWitt, K. May, R.C. Smart, D.R.U. Knappe, and J.A. Hoppin. Measurement of Novel, Drinking Water-Associated PFAS in Blood from Adults and Children in Wilmington, North Carolina.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(7): 77005, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517654",
      "keyword": [
        "PFAS",
        "GenX",
        "serum",
        "Cape Fear River",
        "mass spectrometry"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-01",
      "references": [
        "https://doi.org/10.1289/ehp6837"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for UMRB Wetland Flowpath TN/TP Manuscript ",
      "description": "The dataset includes information to make Figures 2 through 6 of the manuscript.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518461",
      "keyword": [
        "wetlands",
        "nutrients",
        "watersheds",
        "model"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Mengistu_etal_Data_SciHub_022620.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518461/Mengistu_etal_Data_SciHub_022620.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MHV metadata",
      "description": "Recovery efficiencies of murine hepatitis virus spiked into untreated wastewater and concentrated using seven different methods. This dataset is not publicly accessible because: Data us property of CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. It can be accessed through the following means: Contact Warish Ahmed (Warish.Ahmed@csiro.au). Format: No public link for the data is available. Data will be in an excel format. \n\nThis dataset is associated with the following publication:\nAhmed, W., P. Bertsch, A. Bivins, K. Bibby, K. Farkas, A. Gathercole, E. Haramoto, P. Gyawali, A. Korajkic, B. McMinn, J. Mueller, S. Simpson, W.J.M. Smith, E.M. Symonds, K.V. Thomas, R. Verhagen, and M. Kitajima. Comparison of virus concentration methods for the RT-qPCR-based recovery of murine hepatitis virus, a surrogate for SARS-CoV-2 from untreated wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 739: 139960, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519141",
      "keyword": [
        "murine hepatitis virus",
        "concentration method",
        "wastewater",
        "coronavirus surrogate"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139960"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2016 RNA sequencesfor cyanobacterial bloom",
      "description": "The data contained in this worksheets provide sequences submitted for public access, analysis for RNA sequences generated in this study. The data and analysis are for a manuscript \"The trait repertoire enabling cyanobacterial blooms assessed through comparative genomic complexity \". \n\nThis dataset is associated with the following publication:\nCao, H., Y. Shimura, M.M. Steffen, Z. Yang, J. Lu, A. Joel, L. Jenkins, M. Kawachi, Y. Yin, and F. Garcia-Pichel. The Trait Repertoire Enabling Cyanobacteria to Bloom Assessed through Comparative Genomic Complexity and Metatranscriptomics.   mBio. American Society for Microbiology, Washington, DC, USA, 11(3): e01155-20, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504440",
      "keyword": [
        "cyanobacterial bloom",
        "comparative genomics",
        "ecophysiology",
        "metatranscriptome",
        "microcystis aeruginosa",
        "pathway"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_2016_RNA_sequences_for_cyanobacterial_bloom.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504440/Dataset_2016_RNA_sequences_for_cyanobacterial_bloom.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-27",
      "references": [
        "https://doi.org/10.1128/mbio.01155-20"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Field Analyzer Raw Data from 2 Proceedings",
      "description": "Information on data sources for field analyzer manuscript calculations. This dataset is not publicly accessible because: This data was not generated by EPA, but rather used by EPA researchers to calculate basic statistics (R square and slope), as part of this literature review. It can be accessed through the following means: These two old conference proceedings are available in book volumes that can be found in libraries, with page numbers as specified below:\n- Argent, V.A., Southall, J.M. and D'Costa, E. (1994) Analysis of water for lead and copper using disposable sensor technology. American Water Works Association – Annual Conference, pp. 43-54, New York, New York.\n- Wiese, P.M. (1989) Monitoring method for lead in first-draw drinking water samples. American Water Works Association - Annual Conference and Exposition, pp. 1309-1313, Los Angeles, California. Format: Data from three tables in two old conference proceedings were used to calculate basic statistics (R square and slope):\n- Table 2 and 4 in Proceeding \"Argent, V.A., Southall, J.M. and D'Costa, E. (1994) Analysis of water for lead and copper using disposable sensor technology. American Water Works Association – Annual Conference, pp. 43-54, New York, New York.\"\n- Table 2 in Proceeding \"Wiese, P.M. (1989) Monitoring method for lead in first-draw drinking water samples. American Water Works Association - Annual Conference and Exposition, pp. 1309-1313, Los Angeles, California.\". \n\nThis dataset is associated with the following publication:\nDore, E., D. Lytle, L. Wasserstrom, J. Swertfeger, and S. Triantafyllidou. Field Analyzers for Lead Quantification in Drinking Water Samples.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 50(20): 999-999, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517787",
      "keyword": [
        "lead",
        "drinking water",
        "field analyzer",
        "colorimetry",
        "fluorescence",
        "anodic stripping voltammetry",
        "laboratory methods"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [],
      "modified": "2020-02-07",
      "references": [
        "https://doi.org/10.1080/10643389.2020.1782654"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tox21BodyMap: A webtool to map chemical effects on the human body",
      "description": "This manuscript describes development of a novel tool called Tox21BodyMap. This tool is designed to map biological assay data onto organs of the human body, facilitating predictions between chemical exposure and apical effects. Tox21BodyMap maps chemical effects to biological target tissues uses tissue-specific gene expression and high throughput screening data. High throughput screening sources includes ToxCast and Tox21. Tox21BodyMap is a freely available, online tool. \n\nThis dataset is associated with the following publication:\nBorrel, A., S. Auerbach, K. Houck, and N. Kleinstreuer. Tox21BodyMap: A webtool to map chemical effects on the human body.   NUCLEIC ACIDS RESEARCH. Oxford University Press, Cary, NC, USA, 48(W1): W472-W476, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518701",
      "keyword": [
        "Tox21BodyMap",
        "high-throughput screening assay",
        "data visualization",
        "ToxCast",
        "Tox21"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://sandbox.ntp.niehs.nih.gov/bodymap/",
          "accessURL": "https://sandbox.ntp.niehs.nih.gov/bodymap/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-04-06",
      "references": [
        "https://doi.org/10.1093/nar/gkaa433"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nontarget Screening of Per- and Polyfluoroalkyl Substances Binding to Human Liver Fatty Acid Binding Protein ",
      "description": "Current studies on nontarget analysis and toxicities of PFASs are disconnected, due to the challenges posed by the large numbers (>1,000) and diverse structures of PFASs. The SECC method provides a high-throughput experimental way to tackle the challenge of prioritizing PFASs according to key proteins, especially when their authentic standards are not available. While this study is focused on hL-FABP due to its critical role in regulating the toxicokinetics of PFASs, the protein-centric method could also be adapted to screen PFASs binding to other key proteins, such as PPARs. Computational toxicology is the predominant strategy for high-throughput predictions of toxicities of chemical contaminants. This dataset is not publicly accessible because: Data generated and owned by external academic lab with chemicals provided by the EPA under an MTA. EPA's contribution was assisting in manuscript writing. It can be accessed through the following means: Contact the Corresponding author: Hui Peng, e-mail: hui.peng@utoronto.ca, Department of Chemistry, University of Toronto, Toronto, Ontario, M5S3H6, Canada. Format: Not available. \n\nThis dataset is associated with the following publication:\nYang, D., J. Han, D. Ross Hall, J. Sun, J. Fu, S. Kutarna, K. Houck, C. LaLone, J. Doering, C. Ng, and H. Peng. Nontarget Screening of Per- and Polyfluoroalkyl Substances Binding to Human Liver Fatty Acid Binding Protein.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(9): 5676-5686, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518709",
      "keyword": [
        "nontargeted analysis",
        "hydrophobicity",
        "size exclusion chromatography",
        "aqueous film-forming foams"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-10",
      "references": [
        "https://doi.org/10.1021/acs.est.0c00049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data",
      "description": "This is the dataset for the research article \"Enteric pathogen treatment requirements for non-potable water reuse despite limited exposure data\".  It contains log reduction results for various exposure conditions as described in the text. \n\nThis dataset is associated with the following publication:\nSchoen, M., M. Jahne, and J. Garland. A risk-based evaluation of onsite, non-potable reuse systems developed in compliance with conventional water quality measures.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 18(3): 331-344, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518893",
      "keyword": [
        "water reuse",
        "graywater",
        "wastewater",
        "QMRA",
        "Exposure Assessment"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518893/Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-10",
      "references": [
        "https://doi.org/10.2166/wh.2020.221"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regional and urban-scale environmental influences of oceanic DMS emissions over coastal China seas",
      "description": "Model simulations were performed at Fudan University, China. EPA does not have any data associated with the article. This dataset is not publicly accessible because: Fudan University generated input files for the  model and performed model simulations. EPA has not data for the article. It can be accessed through the following means: Contact: Yan Zhang, Fudan University, email: yan_zhang@fudan.edu.cn. Format: Fudan University generated input files for the  model and performed model simulations. Input and output files contains data with ioapi/netcdf format.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519134",
      "keyword": [
        "DMS emissions",
        "WRF-CMAQ",
        "eastern China Seas",
        "Shanghai"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2020-07-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nichols et al_PMSF_ScienceHub_entry",
      "description": "This dataset describes the results of a set of experiments, the goal of which was to evaluate the effects of protease inhibitors on the trout liver S9 substrate depletion assay.  The presented data show that addition of phenylmethylsulfonyl fluoride (PMSF), a serine protease inhibitor, substantially increases the working lifetime of the trout S9 assay, resulting in improved detection of low intrinsic clearance rates.  These findings substantially increase the utility of the trout S9 assay and may have broad implications for its use to support chemical bioaccumulation assessments. \n\nThis dataset is associated with the following publication:\nNichols, J., A. Hoffman, J. Swintek, S. Droge, and P. Fitzsimmons. Addition of phenylmethylsulfonyl fluoride (PMSF) substantially increases the working lifetime of the trout liver S9 substrate depletion assay resulting in improved detection of low intrinsic clearance rates.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(1): 148-161, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518897",
      "keyword": [
        "liver S9",
        "phenylmethylsulfonyl fluoride",
        "protease inhibitor",
        "in vitro-in vivo extrapolation",
        "bioaccumulation assessment"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "NicholsJohn_ScID A-9p8w_Dataset_20200612.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518897/NicholsJohn_ScID%20A-9p8w_Dataset_20200612.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-16",
      "references": [
        "https://doi.org/10.1002/etc.4901"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of noise and ozone on cardiovascular function in rats",
      "description": "This dataset includes raw data used to generate figures for the manuscript describing the effects of noise and ozone on cardiovascular function in rats. \n\nThis dataset is associated with the following publication:\nHazari, M., K. Phillips, K. Stratford, A.M. Khan, L. Thompson, W. Oshiro, G. Hudson, D. Herr, and A. Farraj. Exposure to intermittent noise exacerbates the cardiovascular response of Wistar-Kyoto Rats to Ozone Inhalation and Arrhythmogenic Challenge.   Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 21(4): 336-348, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519024",
      "keyword": [
        "Ozone",
        "radiotelemetry",
        "noise",
        "cardiovascular",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "MSH_16_4 Noise and ozone_complete data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519024/MSH_16_4%20Noise%20and%20ozone_complete%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-26",
      "references": [
        "https://doi.org/10.1007/s12012-020-09623-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DNA sequencing raw data and analytical results by bioinformatics for column study on algal roganic matter impact.",
      "description": "The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. \n\nThis dataset is associated with the following publication:\nJeon, Y., l. li, J. Calvillo, H. Ryu, J. Santo Domingo, O. Choi, J. Brown, and Y. Seo. Impact of algal organic matter on the performance, cyanotoxin removal, and biofilms of biologically-active filtration systems.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 184: 116120, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503475",
      "keyword": [
        "algal organic matter (AOM)",
        "microcystin",
        "biological filtration",
        "Biofilm",
        "excitation-emission matrix (EEM)",
        "microbial community structure"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "0220 Extracted DNA concentrations_022018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503475/0220%20Extracted%20DNA%20concentrations_022018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "barcode 16s_2018 Feb Toledo.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503475/barcode%2016s_2018%20Feb%20Toledo.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data analysis_Toledo_Feb 2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503475/Data%20analysis_Toledo_Feb%202018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Toledo_Illumina results Feb 18_tables-rev.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503475/Toledo_Illumina%20results%20Feb%2018_tables-rev.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-18",
      "references": [
        "https://doi.org/10.1016/j.watres.2020.116120"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Where have all the nutrients gone? Long-term Decoupling of Inputs and Outputs in the Willamette River Watershed, Oregon, USA",
      "description": "The following 4 tables accompany the peer-reviewed journal article GS Metson, J Lin, JE Compton, JA Harrison. Where have all the nutrients gone? Long-term Decoupling of Inputs and Outputs in the Willamette River Watershed, Oregon, USA. JGR Biogeoscience\n\nValues refer to the Willamette River Watershed, which was defined as the area draining to USGS gauge 14211720 (which is 29 018 km2 when delimiting using HydroSHEDs 15 arc-second flow direction maps (Lehner et al 2006)).\n\nThese datasets were created May 2017.\n\nAuthors and Affiliations:\nGenevieve S. Metson1,2†,3†,4†, Jiajia Lin2†,3†,5, John A. Harrison4 and Jana E. Compton3 \n1 Department of Physics, Chemistry, and Biology. Linköping University, Linköping, Sweden. \n2 National Research Council, National Academies of Science, Washington, DC, USA \n3 Pacific Ecological Systems Division, US Environmental Protection Agency, Corvallis, OR, USA \n4 School of the Environment, Washington State University, Vancouver, WA, USA \n5Oak Ridge Institute for Science and Education, Corvallis, OR, USA\n \nCorresponding author: Genevieve Metson (genevieve.metson@liu.se)\n† Affiliation at time of main research activities \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519181",
      "keyword": [
        "phosphorus",
        "nutrients",
        "watersheds",
        "balance",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "SI tables_august62020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519181/SI%20tables_august62020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_WRBstoichpaper.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519181/README_WRBstoichpaper.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2020-08-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Daily PM25 Data_Subregion 1 and 2_2004-2006",
      "description": "This dataset contains daily PM2.5 data for the years 2004-2006. The data for Subregion 1 represents validated PM2.5 data collected from Budapest, Hungary. The data for Subregion 2 consists of randomly modified data, as detailed within the paper, to represent a hypothetical location. \n\nThis dataset is associated with the following publication:\nSacks, J., N. Fann, S. Gumy, I. Kim, G. Ruggeri, and P. Mudu. Quantifying the Public Health Benefits of Reducing Air Pollution: Critically Assessing the Features and Capabilities of WHO’s AirQ+ and U.S. EPA’s Environmental Benefits Mapping and Analysis Program—Community Edition (BenMAP—CE).   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 11(5): 1-15, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518385",
      "keyword": [
        "BenMAP - CE",
        "AirQ+",
        "Ambient air quality"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "Daily PM25 Data_Subregion 1 and 2_2004-2006.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518385/Daily%20PM25%20Data_Subregion%201%20and%202_2004-2006.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-22",
      "references": [
        "https://doi.org/10.3390/atmos11050516"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Retiring facilities reported by EIA 2015-2017",
      "description": "Data Sources, including links; \nData Dictionary; \n2009-2013 American Community Survey, Block group-level Population Data; \n2010 Decennial Census, Block group-level Population Data; \n2008 National Emissions Inventory, Facility-level Data; \n2011 National Emissions Inventory, Facility-level Data; \n2014 National Emissions Inventory, Facility-level Data; \nRevised 2014 National Emissions Inventory, Facility-level Data with retired coal-fired EGUs removed;\n2010 Rural-Urban Commuting Area Codes, Tract-level Data;\n2011 PM 2.5 Daily Average Fused Air Quality Surface Using Downscaling (FAQSD) Output, mean Tract-level Data, CONUS;\nU.S. Energy Information Administration list of retired coal-fired EGUs. \n\nThis dataset is associated with the following publication:\nRichmond-Bryant, J., I. Mikati, A. Benson, T. Luben, and J. Sacks. Disparities in Distribution of Particulate Matter Emissions from US Coal-Fired Power Plants by Race and Poverty Status After Accounting for Reductions in Operations Between 2015 and 2017.   American Journal of Public Health. American Public Health Association, Washington, DC, USA, 110(5): 655-661, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502485",
      "keyword": [
        "particulate matter",
        "national emissions inventory",
        "american community survey"
      ],
      "contactPoint": {
        "fn": "Ihab Mikati",
        "hasEmail": "mailto:mikati.ihab@epa.gov"
      },
      "distribution": [
        {
          "title": "Retiring Facilities from EIA v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502485/Retiring%20Facilities%20from%20EIA%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mikati_A-hdrp_census-facility-emissions-dataset-with-retirement-20180822.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502485/Mikati_A-hdrp_census-facility-emissions-dataset-with-retirement-20180822.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-22",
      "references": [
        "https://doi.org/10.2105/ajph.2019.305558"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reliability of in vitro methods used to measure intrinsic clearance of hydrophobic organic chemicals by fish: results of an international ring trial_Nichols et al._Science Hub entry_02232018",
      "description": "This paper describes the results of an international ring trial (round robin study) of in vitro methods used to measure chemical biotransformation in fish.  Researchers at six laboratories in the U.S. and Europe evaluated six test chemicals (cyclohexyl salicylate, fenthion, 4-n-nonylphenol, deltamethrin, methoxychlor, and pyrene) using two in vitro systems (liver S9 fraction and isolated hepatocytes) derived from rainbow trout livers.  This information was then evaluated to quantitatively characterize assay reliability (repeatability and reproducibility) and evaluate potential user bias associated with the methods.  Additional calculations were performed using established models to estimate in vivo levels of hepatic clearance and predict the effects on chemical biotransformation on chemical bioaccumulation.  The Science Hub dataset includes all information presented in the paper as figures and tables including, as appropriate, individual  values used to calculate reported means and standard deviations.  Also included are all datasets provided as Supplementary Data. \n\nThis dataset is associated with the following publication:\nNichols, J., K. Fay, M.J. Bernhard, I. Bischof, J. Davis, M. Halder, J. Hu, K.  Johanning, H. Laue, D. Nabb, C.  Schlechtriem, H. Segner, J. Swintek, J. Weeks, and M. Embry. Reliability of In Vitro methods used to measure intrinsic clearance of hydrophobic organic chemicals by rainbow trout: Results of an international ring trial.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  164(2): 563-575, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1422388",
      "keyword": [
        "ring trial",
        "liver S9 fraction",
        "isolated hepatocytes",
        "in vitro to in vivo extrapoaltion (IVIVE)",
        "fish",
        "biotransformation",
        "bioaccumulation modeling",
        "in vitro intrinsic clearance",
        "in vitro to in vivo extrapolation (IVIVE)",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Nichols et al_ring trial paper_ScienceHub entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1422388/Nichols%20et%20al_ring%20trial%20paper_ScienceHub%20entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-23",
      "references": [
        "https://doi.org/10.1093/toxsci/kfy113"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CDDP_hypersensitivity_Science Hub_Data.xlxs",
      "description": "Excel file contains data used to generate figures and tables. \n\nThis dataset is associated with the following publication:\nLehmann, D., and W. Williams. Physiological Responses to Cisplatin Using a Mouse Hypersensitivity Model.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 32(2): 68-78, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506064",
      "keyword": [
        "platinum",
        "cisplatin",
        "cross-reactivity",
        "respiratory hypersensitivity",
        "whole-body plethysmography",
        "pulmonary hyperresponsiveness"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "CDDP_hypersensitivity_Science Hub_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506064/CDDP_hypersensitivity_Science%20Hub_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-01",
      "references": [
        "https://doi.org/10.1080/08958378.2020.1737762"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "scenario water balances, LCA results, QMRA data, cost data from Scaled LCI workbooks",
      "description": "The dataset consists of quantitative microbial risk assessment, life cycle assessment and life cycle cost analysis. \n\nThis dataset is associated with the following publication:\nArden, S., B. Morelli, M. Schoen, S. Cashman, M. Jahne, C. Ma, and J. Garland. Human health, economic and environmental assessment of onsite non-potable water reuse systems for a large, mixed-use urban building.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 12(13): 5459 - 5475, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517636",
      "keyword": [
        "Non-potable reuse",
        "decentralized treatment",
        "life cycle assessment",
        "life cycle cost assessment",
        "Quantitative Microbial Risk Assessment",
        "Membrane Bioreactor"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "IM_Decentralized LCIA Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517636/IM_Decentralized%20LCIA%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-08",
      "references": [
        "https://www.mdpi.com/2071-1050/12/13/5459",
        "https://pasteur.epa.gov/uploads/10.23719/1517636/documents/IntegratedSF_Supplementary%20Data_6.30.20_no%20links.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Wild Rice HIA Data Summary",
      "description": "This is a summary of the community input to the Fond du Lac Band of Lake Superior Chippewa's health impact assessment to inform their baseline health assessment. This dataset is not publicly accessible because: It is data that belongs to the Fond du Lac Band of Lake Superior Chippewa. It can be accessed through the following means: Contact Nancy Schuldt \nFond du Lac Band Natural Resources\nNancySchuldt@FDLREZ.COM. Format: Site of data collection (community meeting or survey), individual quotes (this is text data)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519250",
      "keyword": [
        "health impact assessment",
        "qualitative coding",
        "personal values"
      ],
      "contactPoint": {
        "fn": "Kathleen Williams",
        "hasEmail": "mailto:williams.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2018-10-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Median Agriculture, Pasture, and Barren Cover Management Factors for USDA Crop Management Zones",
      "description": "This data set provides median cover management factors (C-Factor) for agriculture, pasture, and barren land cover classes for each USDA Crop Management Zone.  The C-Factors were calculated based on a Normalized Difference Vegetation Index. MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI values were obtained at 250 m resolution for 16-day intervals between 2000-2014 to calculate a mean annual NDVI.  The data in this file correspond To Table 2 in the associated journal article. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519119",
      "keyword": [
        "MODIS NDVI C-Factor",
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Table2_Cfactor.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519119/Table2_Cfactor.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "State-level comparisons of annual soil loss between our calculated Revised Universal Soil Loss Equation (RUSLE) estimates and those reported by the USDA National Resources Inventory (NRI)",
      "description": "In the associated manuscript, we used the State-level National Resources Inventory (NRI) annual estimates of sheet and rill erosion to calibrate our RUSLE-derived estimates.  This data set provides the data used in and resulting from that calibration.  The data set relates to Figs 1 a-d in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519120",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519120/Fig1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of Soil Loss Estimates Derived using the Revised Universal Soil Loss Equation with those Derived by the Iowa State University's Daily Erosion Project for 12-digit HUCs.",
      "description": "This data contains a comparison between the soil loss values we calculated using RUSLE and those produced by the Iowa State University's Daily Erosion Project (DEP). The comparison is done for almost 5,000 12-digit HUC's in Iowa, and parts of  Minnesota, Nebraska, Kansas, and Missouri. The DEP uses the Water Erosion Prediction Project (WEPP) hillslope model with high temporal resolution, Next-Generation Weather 200 RADAR (NEXRAD) precipitation, and crop specific parameters such as C and P factors obtained from the confidential NRI database \nThe comparison between RUSLE and DEP was made for HUC-12s with greater than 75% agricultural land cover. This threshold was used because DEP only models  agricultural erosion, while our RUSLE-derived HUC-12 estimates include all land cover types. This data set corresponds to Fig 2 in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519121",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519121/Fig2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Average Annual Soil Loss and Sediment Yield Calculated for All 12-Digit HUCs in the Conterminous US",
      "description": "This data set contains estimated average annual soil loss (Mg ha-1 yr-1) and estimated average annual sediment yield (Mg ha-1 yr-1) aggregated by HUC-12 watersheds for the conterminous US. This data set corresponds to Fig 3 in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519122",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519122/Fig3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Average annual soil loss and sediment yield by National Land Cover Dataset land cover class for the conterminous US",
      "description": "This data set gives estimates of erosion and sediment yield based on our study for the conterminous US by land cover class. The data correspond to Fig 4 in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519123",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519123/Fig4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Avoided annual soil loss (Mg ha-1 yr-1) and sediment yield (Mg ha-1 yr-1) by presence of natural vegetation. ",
      "description": "This data set contains estimated average annual soil loss avoided (Mg ha-1 yr-1) and estimated average annual sediment yield (Mg ha-1 yr-1) avoided aggregated by HUC-12 watersheds for the conterminous US. This data set corresponds to Fig 5 in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519126",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519126/Fig5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Average annual soil loss and sediment yield avoided for each National Land Cover Dataset land cover class for the conterminous US",
      "description": "This data set gives estimates of erosion and sediment yield avoided due to the presence of natural land cover.  These estimates are given for each land cover class and summarized for the conterminous US. The data correspond to Fig 6 in the manuscript. \n\nThis dataset is associated with the following publication:\nWoznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 745: 140972, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519127",
      "keyword": [
        "ecosystem services",
        "EnviroAtlas",
        "soil erosion",
        "RUSLE",
        "sediment delivery ratio",
        "soil retention"
      ],
      "contactPoint": {
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519127/Fig6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140972"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EnviroAtlas Input Metrics for CEHI",
      "description": "The EnviroAtlas metrics of green space and natural environment selected to compute a Community EcoHealth Index. \n\nThis dataset is associated with the following publication:\nCochran, F., L. Jackson, A. Neale, J. Lovette, and L. Tran. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(15): 2760, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503975",
      "keyword": [
        "hazard buffering",
        "Health Promotion",
        "temperature",
        "runoff",
        "parks",
        "PM10",
        "Greenspace",
        "geospatial",
        "health equity",
        "index",
        "ecohealth"
      ],
      "contactPoint": {
        "fn": "Ferdouz Cochran",
        "hasEmail": "mailto:cochran.ferdouz@epa.gov"
      },
      "distribution": [
        {
          "title": "all_comm_data_20180817_8metrics.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503975/all_comm_data_20180817_8metrics.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "InputMetrics4Communities.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503975/InputMetrics4Communities.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-17",
      "references": [
        "https://doi.org/10.3390/ijerph16152760"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503975/documents/Data_Code_File_Dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Community EcoHealth Index (CEHI) Output Values",
      "description": "CEHI values and normalized values calculated for each Census block group within each community based on metric weights in individual communities (CEHI_IndW) and based on metric weights averaged across all communities (CEHI_AvgW). These values are mapped at: \nLink to AGOL page (not app): https://arcg.is/1nX9e0 \nLink directly to app: https://arcg.is/1zGrjv. \n\nThis dataset is associated with the following publication:\nCochran, F., L. Jackson, A. Neale, J. Lovette, and L. Tran. A Community EcoHealth Index from EnviroAtlas Ecosystem Services Metrics.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 16(15): 2760, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503976",
      "keyword": [
        "CEHI",
        "Greenspace",
        "geospatial",
        "health equity",
        "index",
        "ecohealth"
      ],
      "contactPoint": {
        "fn": "Ferdouz Cochran",
        "hasEmail": "mailto:cochran.ferdouz@epa.gov"
      },
      "distribution": [
        {
          "title": "AllCommDwN_IndW_AvgW_geoid.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503976/AllCommDwN_IndW_AvgW_geoid.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-22",
      "references": [
        "https://doi.org/10.3390/ijerph16152760"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503976/documents/Data_Code_File_Dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Congress Run Taxa Data Final.xlxs",
      "description": "Macroinvertebrate taxa data collected by 3 different methods, 2 sites, on Congress Run stream. \n\nThis dataset is associated with the following publication:\nYeardley, R., S. Jacobs, K. Fritz, and W. Thoeny. Comparison of Three Macroinvertebrate Sampling Methods for Use in Assessment of Water Quality Changes in Flashy Urban Streams.   Journal of Environmental Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 11(8): 585-609, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517792",
      "keyword": [
        "macroinvertebrate",
        "method",
        "sampling",
        "urban",
        "streams",
        "flashy"
      ],
      "contactPoint": {
        "fn": "Roger Yeardley",
        "hasEmail": "mailto:yeardley.roger@epa.gov"
      },
      "distribution": [
        {
          "title": "Congress Run Taxa Data Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517792/Congress%20Run%20Taxa%20Data%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-28",
      "references": [
        "https://doi.org/10.4236/jep.2020.118035"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Survival, pathology, and assay details for single low-dose exposure study",
      "description": "Survival results, pathology findings, bacteremia results, immunoassay results, hematology and clinical chemistry findings. \n\nThis dataset is associated with the following publication:\nTaft, S., T. Nichols, S. Hines, R. Barnewall, G. Stark, and J. Comer. Physiological responses to a single low dose of Bacillus anthracis spores in the rabbit model of inhalational anthrax.   PATHOGENS. MDPI AG, Basel,  SWITZERLAND, 9(6): 461, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502616",
      "keyword": [
        "Bacillus anthracis",
        "anthrax",
        "dose-response",
        "low-dose",
        "physiological response",
        "microbial risk assessment",
        "homeland security",
        "rabbit"
      ],
      "contactPoint": {
        "fn": "Sarah Taft",
        "hasEmail": "mailto:taft.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "Physiological Responses Single Supplemental File 1 24Oct17.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502616/Physiological%20Responses%20Single%20Supplemental%20File%201%2024Oct17.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental File 3 Clinical Chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502616/Supplemental%20File%203%20Clinical%20Chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental File 2 Hematology v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502616/Supplemental%20File%202%20Hematology%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-05",
      "references": [
        "https://doi.org/10.3390/pathogens9060461"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "OPERA models for predicting physicochemical properties and environmental fate endpoints",
      "description": "For the purpose of this modeling study, extensive curation work was conducted on 13 publicly available PHYSPROP physicochemical property and environmental fate datasets.The dataset supporting the conclusions of this article are available within the article and its additional file as well as OPERA’s Github repository (https://github.com/kmansouri/OPERA) and the EPA’s ftp site: https://figshare.com/s/6fa1babbc9a0e9560317. \n\nThis dataset is associated with the following publication:\nMansouri, K., C. Grulke, R. Judson, and A. Williams. OPERA models for predicting physicochemical properties and environmental fate endpoints.   Journal of Cheminformatics. Springer, New York, NY, USA, 10: 10, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504180",
      "keyword": [
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/kmansouri/OPERA",
          "accessURL": "https://github.com/kmansouri/OPERA",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://figshare.com/s/6fa1babbc9a0e9560317",
          "accessURL": "https://figshare.com/s/6fa1babbc9a0e9560317",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Williams_A/Opera_Model_Paper/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Williams_A/Opera_Model_Paper/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-16",
      "references": [
        "https://doi.org/10.1186/s13321-018-0263-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Toward an AOP Network-based tiered testing strategy for the assessment of thyroid hormone disruption",
      "description": "No novel data were reported in association with this product. This dataset is not publicly accessible because: The associated publication is a review/forum-type article.  No novel scientific data are reported.  All data cited have been previously published elsewhere. It can be accessed through the following means: Not applicable. Format: This article is a review/forum-type article.  No novel scientific data are included. \n\nThis dataset is associated with the following publication:\nKnapen, D., E. Stinckens, J. Cavallin, G. Ankley, H. Holbech, D. Villeneuve, and L. Vergauwen. Toward an AOP network-based tiered testing strategy for the assessment of thyroid hormone disruption.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(16): 8491-8499, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518537",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [],
      "modified": "2020-04-16",
      "references": [
        "https://doi.org/10.1021/acs.est.9b07205"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ v5.2 and WRF v3.8.1 model data, meta data and figures ",
      "description": "The data are described in detail in the uploaded file \"Science hub metadata.docx\". \n\nThis dataset is associated with the following publication:\nZhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504275",
      "keyword": [
        "Green Infrastructure",
        "urban air quality",
        "temperature",
        "planetary boundary layer",
        "particular matter",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig_6.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504275/Fig_6.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_7.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504275/Fig_7.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figs_2-3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504275/Figs_2-3.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504275/Fig_1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Science hub metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504275/Science%20hub%20metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-08",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140960"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Using Transmission Data to Isolate Individual Losses in Coastdown Road Load Coefficients ",
      "description": "A file containing data on coastdown drag of transmissions in neutral gear. Links to two other transmission data sets containing this information, and link to  EPA Data on Cars used for Testing Fuel Economy. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519295",
      "keyword": [
        "transmissions",
        "vehicles",
        "coastdown",
        "dynamometer"
      ],
      "contactPoint": {
        "fn": "Andrew Moskalik",
        "hasEmail": "mailto:moskalik.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "SAE 2020-01-1064 publication data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519295/SAE%202020-01-1064%20publication%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2019-07/2013-nissan-jatco-cvt8-transmission-test-data-package-dated-07-15-19.zip",
          "accessURL": "https://www.epa.gov/sites/production/files/2019-07/2013-nissan-jatco-cvt8-transmission-test-data-package-dated-07-15-19.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2019-05/2014-fca-hfe-845re-transmission-test-data-package-dated_04-09-19.zip",
          "accessURL": "https://www.epa.gov/sites/production/files/2019-05/2014-fca-hfe-845re-transmission-test-data-package-dated_04-09-19.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/compliance-and-fuel-economy-data/data-cars-used-testing-fuel-economy",
          "accessURL": "https://www.epa.gov/compliance-and-fuel-economy-data/data-cars-used-testing-fuel-economy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-24",
      "references": [
        "https://dx.doi.org/10.4271/2020-01-1064"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fort Irwin Test Well and Monitor Well Installation Report",
      "description": "The National Training Center (NTC) at US Army Fort Irwin, CA (Fort Irwin) has a stormwater collection system located near the Sleepy Hollow housing area that includes a stormwater catchment basin, controlled release of flood waters, and enhanced local infiltration by a drywell. The system was not performing to design standards and best management practices. To research wet-weather capture and aquifer recharge, the Environmental Protection Agency (EPA) contracted GeoSystems Analysis, Inc. (GSA) to supervise the drilling and installation of a vadose zone testing well (Test Well) and a groundwater monitoring well (Monitor Well) at the Sleepy Hollow drywell site at Fort Irwin. Additionally, GSA contracted Torrent Resources Inc. (Phoenix, AZ) (Torrent Resources) to upgrade the drywell site.\n\nThe Test Well was instrumented with water and air piezometers to allow testing of the infiltration capacity of the on-site basin fill deposits and derive hydraulic conductivity properties for these materials through intermediate and large-scale field testing and laboratory testing. Water piezometers were used to conduct borehole permeameter tests to provide an estimation of the saturated hydraulic conductivity (Ksat) at the testing intervals. Air piezometers were used to conduct atmospheric pressure wave testing, which measures the bulk air permeability of vadose zone sediments in the vicinity of the well. Air permeability estimates can then be converted to estimates of water permeability. A water level and temperature sensor was also installed in one of the water piezometers to measure the depth of perched groundwater.\n\nThe Monitor Well was drilled to depths reaching the groundwater table to monitor the performance of the new drywell system. The Monitor Well also included a shallow piezometer installed above a low-permeability fine-grained sediment layer. Water level and temperature sensors were installed to measure the depth to groundwater and depth of perched water above the fine-grained layers. In addition, soil water content, electrical conductivity, and temperature sensors were installed at various depths in the vadose zone to monitor advancement of wetting fronts.\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519220",
      "keyword": [
        "drywell",
        "aquifer recharge",
        "stormwater",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "Stephen Kraemer",
        "hasEmail": "mailto:kraemer.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Fort Irwin Report Tables and Figures 27May2020_.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519220/Fort%20Irwin%20Report%20Tables%20and%20Figures%2027May2020_.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tree cover and allostatic load ",
      "description": "The dataset contains results of questionnaire surveys including demographic, socioeconomic data and health/medical information, residential addresses, geographic coordinates of residential addresses, estimates of tree cover and vegetated land cover within 1 km of residence, results of laboratory analyses of blood samples from study participants for biomarkers of allostatic load, and allostatic load estimates. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Data requests should be sent to PI. Format: Data are stored in SAS and MS Excel. \n\nThis dataset is associated with the following publication:\nEgorov, A., S. Griffin, R. Converse, J. Styles, E. Klein, J. Scott, E. Sams, E. Hudgens, and T. Wade. Greater tree cover near residence is associated with reduced allostatic load in residents of central North Carolina.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 186: 109435, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1505445",
      "keyword": [
        "Green space",
        "allostatic load",
        "epidemiologic study",
        "chronic stress",
        "Urban environment",
        "Greenspace",
        "multiple stressors"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2019-09-27",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.109435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SERC_BW_data",
      "description": "18S OTU table with taxonomy, including metadata on sampled vessels. \n\nThis dataset is associated with the following publication:\nDarling, J., J. Martinson, K. Pagenkopp-Lohan, K. Carney, E. Pilgrim, A. Banerji, K. Holzer, and G. Ruiz. Metabarcoding quantifies differences in accumulation of ballast water borne biodiversity among three port systems in the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 749: 141456, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518731",
      "keyword": [
        "ballast water",
        "biosecurity",
        "metabarcoding",
        "high throughput sequencing",
        "biodiversity",
        "zooplankton"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SERC_BW_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518731/SERC_BW_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-19",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.141456"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for journal article Inactivation of Bacillus anthracis and Bacillus atrophaeus Spores on Surfaces with Ultraviolet Light Produced Via Either Light Emitting Diodes or a Low-Pressure Mercury Vapor Lamp",
      "description": "The spreadsheets contain the colony forming unit data for every experiment, for every test and positive control coupon replicate. \n\nThis dataset is associated with the following publication:\nWood, J., J. Archer, M. Calfee, S. Serre, R. Mickelsen, A. Mikelonis, L. Oudejans, M. Hu, S.  Hurst, and V.K. Rastogi. Inactivation of Bacillus anthracis and Bacillus atrophaeus Spores on Surfaces with Ultraviolet Light Produced Via Either Light Emitting Diodes or a Low-Pressure Mercury Vapor Lamp.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA,  13, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504419",
      "keyword": [
        "Bacillus anthracis",
        "Decontamination",
        "ultraviolet light",
        "bacterial spores"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Hg lamp Aerosol vs Suspension run 1 glass.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Aerosol%20vs%20Suspension%20run%201%20glass.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hg lamp Aerosol vs Suspension Run 2 wood.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Aerosol%20vs%20Suspension%20Run%202%20wood.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hg lamp Aerosol vs Suspension Run 3 all materials.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Aerosol%20vs%20Suspension%20Run%203%20all%20materials.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hg lamp Bg high and low RH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Bg%20high%20and%20low%20RH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hg lamp Bg vs Ames.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Bg%20vs%20Ames.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LED lamp Bg high and low RH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/LED%20lamp%20Bg%20high%20and%20low%20RH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hg lamp Bg vs Ames w data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504419/Hg%20lamp%20Bg%20vs%20Ames%20w%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-11",
      "references": [
        "https://doi.org/10.1111/jam.14791"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data related to transport of hydrochar-montmorillonite ",
      "description": "The data set contains information about the TEM images of hydrochar alone, with phosphate (b), and with montmorillonite (c) at a pH of 6.0; SEM images of hydrochar alone (a, b), with montmorillonite (c, d), and with a combination of montmorillonite and phosphate (e, f) and the corresponding EDX spectra (g, h) at a pH of 6.0 (a, c, e, g) and 9.0 (b, d, f, h); .Capillary pressure curves (a,b) and pore size distribution determined by means of mercury intrusion porosimetry (MIP) (c,d) for the hydrochar samples prepared at pH 6.0 (a,c) and 9.0 (b,d); .FTIR spectra of the synthesized hydrochar in solutions with different pH values; Zeta potentials of hydrochar with and without montmorillonite (M) and/or phosphate (P), quartz sand and aluminum oxide-coated sand in a 10 mM NaCl solution as a function of the pH (a) and the concentrations of NaCl solution at pH 6.0 (b) and 9.0 (c); .Hydrodynamic radius of hydrochar with and without montmorillonite (M) in the absence or presence of phosphate (P) under different NaCl concentrations at pH 6.0 (a) and 9.0 (b); Observed (dots) and fitted (lines) breakthrough curves (BTCs) of 0.2 g L-1 hydrochar under different NaCl concentrations in uncoated sand (a, b) and aluminum oxide-coated sand (c, d) at pH 6.0 (a, c) and 9.0 (b, d), respectively. \n\nThis dataset is associated with the following publication:\nYang, J., M. Chen, H. Yang, N. Xu, G. Feng, Z. Li, C. Su, and D. Wang. Surface Heterogeneity Mediated Transport of Hydrochar Nanoparticles in Heterogeneous Porous Media.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 27(26): 32842-32855, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504204",
      "keyword": [
        "Hydrochar",
        "Montmorillonite",
        "phosphate",
        "Nanoaggregates",
        "transport",
        "Aluminum oxide"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Nan Xu hydrochar Figures 1019.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504204/Nan%20Xu%20hydrochar%20Figures%201019.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Na Xu hydrochar raw data 1019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504204/Na%20Xu%20hydrochar%20raw%20data%201019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-08",
      "references": [
        "https://doi.org/10.1007/s11356-020-09482-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VOC emission data in a simulated vehicle cabin environment based on small-scale chamber tests",
      "description": "The data include: (1) Detailed test material dimensions and experimental conditions; (2) Determined key emission parameters for six VOCs in five vehicle cabin materials at different temperatures; (3)Change in key emission parameters with the increase of temperature; (4) figures with comparison between the model prediction and experimental data. This dataset is not publicly accessible because: The data was not generated by EPA. It can be accessed through the following means: Link will be available when it is published in peer reviewed journal. Format: The data include: Tables of (1) Detailed test material dimensions and experimental conditions; (2) Determined key emission parameters for six VOCs in five vehicle cabin materials at different temperatures; (3) Change in key emission parameters with the increase of temperature; and Figures with comparison between the model prediction and experimental data. \n\nThis dataset is associated with the following publication:\nWang, H., J. Zheng, T. Yang, P. Zhang, X. Liu, M. Zhang, L. Sun, X. Yu, J. Zhao, X. Liu, B. Xu, L. Tong, and J. Xiong. Predicting the emission characteristics of VOCs in a simulated vehicle cabin environment based on small-scale chamber tests: parameter determination and validation.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 142: NA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517655",
      "keyword": [
        "In-cabin air quality",
        "volatile organic compounds (vocs)",
        "key emission parameters",
        "vehicle cabin material",
        "emission model"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-14",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.105817"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Solar cooker test data per ASAE S580.1 NOV2013 (American Society of Agricultural and Biological Engineers): Standardized cooking power versus temperature difference (cooking vessel contents and ambient air).  See Figure 2 in published manuscript.",
      "description": "Solar cooker test data per ASAE S580.1 NOV2013, Testing and Reporting Solar Cooker Performance, American Society of Agricultural and Biological Engineers, St. Joseph, Michigan, USA.  Standardized cooking power (watts) versus temperature difference (degrees C) between cooking vessel contents and ambient air. See Figure 2 in published manuscript. \n\nThis dataset is associated with the following publication:\nEbersviller, S., and J. Jetter. Evaluation of performance of household solar cookers.   SOLAR ENERGY. Elsevier Science Ltd, New York, NY, USA, 208: 166-172, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518509",
      "keyword": [
        "solar energy",
        "solar cookers",
        "household energy",
        "cooking power"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518509/Figure%202%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-07",
      "references": [
        "https://doi.org/10.1016/j.solener.2020.07.056"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Criteria pollutant impacts of volatile chemical products informed by near-field modeling",
      "description": "Dataset includes data appearing in main text figures and CMAQ code. \n\nThis dataset is associated with the following publication:\nQin, M., B. Murphy, K. Isaacs, B. McDonald, Q. Lu, S. McKeen, L. Koval, A. Robinson, C. Efstathiou, C. Allen, and H. Pye. Criteria pollutant impacts of volatile chemical products informed by near-field modeling.   Nature Sustainability. Nature Publishing Group, New York, NY, USA,  1-57, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506136",
      "keyword": [
        "volatile chemical product",
        "VCP",
        "Los Angeles",
        "CalNex",
        "Ozone",
        "O3",
        "Volatile organic compound (VOC)",
        "Community Multi-scale Air Quality (CMAQ) model",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://esrl.noaa.gov/csl/groups/csl7/measurements/2010calnex/",
          "accessURL": "https://esrl.noaa.gov/csl/groups/csl7/measurements/2010calnex/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20200913.qinetal.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506136/20200913.qinetal.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-16",
      "references": [
        "https://doi.org/10.1038/s41893-020-00614-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011-2012",
      "description": "Code for analysis of NHANES data. \n\nThis dataset is associated with the following publication:\nWells, E., L. Kopylev, R. Nachman, E. Radke-Farabaugh, and D. Segal. Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011–2012.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  1-11, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1519251",
      "keyword": [
        "NHANES",
        "human health risk assessment"
      ],
      "contactPoint": {
        "fn": "Deborah Segal",
        "hasEmail": "mailto:segal.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "foodgraphdofile-code.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519251/foodgraphdofile-code.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mercurybyfoods-code.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519251/mercurybyfoods-code.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-14",
      "references": [
        "https://doi.org/10.1038/s41370-020-0206-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "JRII-S Dataset",
      "description": "The sonic data within the building array is composed of 26 days of 30-minute average data from 30 sonic anemometers. The unobstructed tower sonic data is also the same, but of the 5 heights of the tower. The data files have 48 columns associated with date and time identifiers as well as meteorological turbulence measurements. This dataset is not publicly accessible because: The data were not collected by EPA and are hosted external to the agency. It can be accessed through the following means: The detailed sonic dataset is freely available to others wishing to perform additional analysis however, it is large and not readily posted. The complete dataset is included in the comprehensive JR II data archive set up by the DHS Science and Technology (S&T) Directorate, Chemical Security Analysis Center (CSAC). To obtain the data, an email request can be sent to JackRabbit@st.dhs.gov. The user can then access the archive on the Homeland Security Information Network (HSIN). Format: The sonic data within the Jack Rabbit II (JRII) mock-urban building array are in 30-minute averaged daily excel files separated by each sonic anemometer with numerous variables. The unobstructed, raw 10Hz tower data are in .dat files and processed into 30-minute average daily csv files by sonic height. \n\nThis dataset is associated with the following publication:\nPirhalla, M., D. Heist, S. Perry, S. Hanna, T. Mazzola, S.P. Arya, and V. Aneja. Urban Wind Field Analysis from the Jack Rabbit II Special Sonic Anemometer Study.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 243: 14, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518652",
      "keyword": [
        "Jack Rabbit II",
        "Turbulence",
        "microscale meteorology",
        "sonic anemometry",
        "urban dispersion",
        "building wakes"
      ],
      "contactPoint": {
        "fn": "Michael Pirhalla",
        "hasEmail": "mailto:pirhalla.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2019-04-19",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.117871"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Secondary screening method for sodium-iodide symporter inhibition utilizing FRTL-5 cells data set",
      "description": "Data pertaining to a NIS-expressing cell line, FRTL-5 and it's screening capabilities for confirming inhibitors of NIS-mediated iodide uptake. \n\nThis dataset is associated with the following publication:\nBuckalew, A., J. Wang, A. Murr, C. Deisenroth, W. Stewart, T. Stoker, and S. Laws. Evaluation of potential sodium-iodide symporter (NIS) inhibitors using a secondary Fischer rat thyroid follicular cell (FRTL-5) radioactive iodide uptake (RAIU) assay.   Archives of Toxicology. Springer, New York, NY, USA, 94(3): 873-885, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518689",
      "keyword": [
        "thyroid",
        "Sodium Iodide Symporter",
        "endocrine disruption",
        "high-throughput in vitro screening assay"
      ],
      "contactPoint": {
        "fn": "Angela Buckalew",
        "hasEmail": "mailto:buckalew.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "FRTL-5 dataset for science-hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518689/FRTL-5%20dataset%20for%20science-hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0019-06-09",
      "references": [
        "https://doi.org/10.1007/s00204-020-02664-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The dataset contains PII",
      "description": "These data are interview transcripts with individuals who are users of the Smoke Sense app. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data is available on request to approved individuals. Format: This data contains PII. These are interview transcripts. \n\nThis dataset is associated with the following publication:\nHano, M., L. Wei, B. Hubbell, and A. Rappold. Scaling Up: Citizen Science Engagement and Impacts Beyond the Individual.   Citizen Science: Theory and Practice. Ubiquity Press, London,  UK, 5(1): 1-13, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503431",
      "keyword": [
        "Smoke Sense",
        "Citizen science motivation",
        "qualitative",
        "interview"
      ],
      "contactPoint": {
        "fn": "Mary Hano",
        "hasEmail": "mailto:hano.mary@epa.gov"
      },
      "distribution": [],
      "modified": "2018-07-20",
      "references": [
        "https://doi.org/10.5334/cstp.244"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sediment chemistry and toxicity of Dibit",
      "description": "Data consist of sediment toxicity and chemistry measurements and results. The data dictionary for each of the three spreadsheet files containing the data are provided as a separate tab within each spreadsheet. \n\nThis dataset is associated with the following publication:\nBarron, M., E. Moso, R. Conmy, P. Meyer, and D. Sundaravadivelu. Toxicity of sediment oiled with diluted bitumens to freshwater and estuarine amphipods.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 163: 7, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519291",
      "keyword": [
        "diluted bitumen",
        "dilbit",
        "toxicity",
        "sediment",
        "amphipod"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "1% organic carbon normalization of toxicity results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519291/1%25%20organic%20carbon%20normalization%20of%20toxicity%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sediment Chemistry Results and calculations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519291/Sediment%20Chemistry%20Results%20and%20calculations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Toxicity tables on wet weight sediment basis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519291/Toxicity%20tables%20on%20wet%20weight%20sediment%20basis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-22",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2020.111941"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Utah Lake Cyanobacterial Satellite Economic Case Study",
      "description": "Utah Lake Cyanobacterial Satellite Economic Case Study. This dataset is not publicly accessible because: Data does not belong to the EPA, data is the property of Resources for the Future. It can be accessed through the following means: Contact Yusuke Kuwayama (202) 328-5190. Format: Excel and text files. \n\nThis dataset is associated with the following publication:\nStroming, S., M. Robertson, B. Mabee, Y. Kuwayama, and B. Schaeffer. Quantifying the Human Health Benefits of Using Satellite Information to Detect Cyanobacterial Harmful Algal Blooms and Manage Recreational Advisories in U.S. Lakes.   GeoHealth. American Geophysical Union, Washington, DC, USA, 4(9): e2020GH000254, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517619",
      "keyword": [
        "water quality",
        "satellite",
        "Harmful Algal Blooms",
        "cyanobacteria",
        "Impact assessment",
        "economics"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-23",
      "references": [
        "https://doi.org/10.1029/2020gh000254"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF-ACI-Paper-2",
      "description": "all data are in netCDF format for all figures and tables. \n\nThis dataset is associated with the following publication:\nGlotfelty, T., K. Alapaty, J. He, P. Hawbecker, X. Song, and G. Zhang. Studying Scale Dependency of Aerosol Cloud Interactions using Scale-Aware Cloud Formulations.   Monthly Weather Review. American Meteorological Society, Boston, MA, USA,  1-57, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1433828",
      "keyword": [
        "numerical weather prediction",
        "aerosol indirect effects",
        "aerosol radiative forcing",
        "spatial dependency of aerosol indirect effects",
        "precipitation cloud life cloud cover"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/WRF-ACI-Part-2-Data/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/WRF-ACI-Part-2-Data/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-13",
      "references": [
        "https://doi.org/10.1175/jas-d-19-0203.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Melnikov_etal_Hard and Soft Acid and Base Characterization of 100 Chemicals",
      "description": "Characterization of 100 chemicals for electrophillic potential using Hard and Soft Acid and Bases theory. The chemicals were ranked for electrophillic potential and a group of chemicals within a range of electrophillic values were identified as having properties similar to other neurotoxicants. \n\nThis dataset is associated with the following publication:\nMelnikov, F., B. Geohagen, T. Gavin, R. LoPachin, P. Anastas, P. Coish, and D. Herr. Application of the Hard and Soft, Acids and Bases (HSAB) Theory as a Method to Predict Cumulative Neurotoxicity.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 79: 95-103, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504235",
      "keyword": [
        "neurotoxicity",
        "in silico",
        "HSAB",
        "adducts"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Melinikov_Gavin_DataFiles_r1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504235/Melinikov_Gavin_DataFiles_r1.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-22",
      "references": [
        "https://doi.org/10.1016/j.neuro.2020.04.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Woody Biomass (Phase 1)",
      "description": "This dataset is the raw data used to generate Tables and Figures for a peer-reviewed journal article that published in 2020 in the journal Fuel. \n\nThis dataset is associated with the following publication:\nYelverton, T., A. Brashear, D. Nash, J. Brown, C. Singer, P. Kariher, J. Ryan, and P. Burnette. Characterization of emissions from a pilot-scale combustor operating on coal blended with woody biomass.   FUEL. Elsevier Science BV, Amsterdam,  NETHERLANDS, 264: 0, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518468",
      "keyword": [
        "coal combustion",
        "biomass",
        "emissions characterization",
        "air qualtiy"
      ],
      "contactPoint": {
        "fn": "Tiffany Yelverton",
        "hasEmail": "mailto:yelverton.tiffany@epa.gov"
      },
      "distribution": [
        {
          "title": "SH-Fuel 2020 data tables with data dictionary_published.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518468/SH-Fuel%202020%20data%20tables%20with%20data%20dictionary_published.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Revised figure data for journal submission_22June2020",
      "description": "Underlying modeling outputs used to generate Figures in the manuscript and supplemental figures. \n\nThis dataset is associated with the following publication:\nStanek, L., J. Xue, C. Lay, E. Helm, T. Speth, D. Lytle, M. Schock, and V. Zartarian. Modeled Impacts of Drinking Water Lead Reduction Scenarios on Children’s Exposures and Blood Lead Levels.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(15): 9474-9482, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518916",
      "keyword": [
        "lead",
        "drinking water",
        "multimedia modeling",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Lindsay Stanek",
        "hasEmail": "mailto:stanek.lindsay@epa.gov"
      },
      "distribution": [
        {
          "title": "figures 1-5 data and charts_ES&T revisions_round2.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518916/figures%201-5%20data%20and%20charts_ES%26T%20revisions_round2.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-22",
      "references": [
        "https://doi.org/10.1021/acs.est.0c00479"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA June 2012 12km Continental US (CONUS) Bidirectional CMAQ v5.0.2 Simulations",
      "description": "This work is the first of a two‐part study that aims to develop a computationally efficient bias correction framework to improve surface PM2.5 forecasts in the United States. Here, an ensemble‐based Kalman filter (KF) technique is developed primarily for nonrural areas with approximately 500 surface observation sites for PM2.5 and applied to three (GEOS‐Chem, WRF‐Chem, and WRF‐CMAQ) chemical transport model (CTM) hindcast outputs for June 2012. While all CTMs underestimate daily surface PM2.5 mass concentration by 20–50%, KF correction is effective for improving each CTM forecast. Subsequently, two ensemble methods are formulated: (1) the arithmetic mean ensemble (AME) that equally weights each model and (2) the optimized ensemble (OPE) that calculates the individual model weights by minimizing the least‐square errors. While the OPE shows superior performance than the AME, the combination of either the AME or the OPE with a KF performs better than the OPE alone, indicating the effectiveness of the KF technique. Overall, the combination of a KF with the OPE shows the best results. Lastly, the Successive Correction Method (SCM) was applied to spread the bias correction from model grids with surface PM2.5 observations to the grids lacking ground observations by using a radius of influence of 125 km derived from surface observations, which further improves the forecast of surface PM2.5 at the national scale. Our findings provide the foundation for the second part of this study that uses satellite‐based aerosol optical depth (AOD) products to further improve the forecast of surface PM2.5 in rural areas by performing statistical analysis of model output. \n\nThis dataset is associated with the following publication:\nSpero, T., B. Murphy, H. Huanxin Zhang1,2, Jun Wang1,2, Lorena Castro García1,2, Cui Ge, J. Wang, L. Castro García, C. Ge, and T. Plessel. Improving surface PM2.5 forecasts in the U.S. using an ensemble of chemical transport model outputs, part I: bias correction with surface observations in non-rural areas.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 125(14): e2019JD032293, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519038",
      "keyword": [
        "PM2.5 air quality forecast",
        "GEOS-Chem",
        "WRF-Chem",
        "WRF-CMAQ",
        "ensemble Kalman filter"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "accessURL": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-01",
      "references": [
        "https://doi.org/10.1029/2019jd032293"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sunburn among Beachgoers in the United States",
      "description": "Over 50,000 individual level data of behaviors, illnesses, demographics from beachgoers  across the United States. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Tim Wade (wade.tim@epa.gov). Format: Data are stored in SAS data files and delimited text files. Codebooks with descriptions of each of the variables are available. \n\nThis dataset is associated with the following publication:\nDeflorio-Barker, S., D. Holman, R. Landolfi, B. Arnold, J. Colford, S. Weisberg, K. Schiff, E. Sams, and T. Wade. Incidence and Public Health Burden of Sunburn Among Beachgoers in the United States#.   Preventive Medicine. Elsevier Online, New York, NY, USA, 134: 106047, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503815",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2019-05-07",
      "references": [
        "https://doi.org/10.1016/j.ypmed.2020.106047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China",
      "description": "Nitrate and sulfate are two key components of airborne particulate matter (PM). While multiple formation mechanisms have been proposed for sulfate, current air quality models commonly underestimate its concentrations and mass fractions during northern China winter haze events. On the other hand, current models usually overestimate the mass fractions of nitrate. Very recently, laboratory studies have proposed that nitrous acid (N(III)) produced by particulate nitrate photolysis can oxidize sulfur dioxide to produce sulfate. Here, for the first time, we parameterize this heterogeneous mechanism into the state-of-the-art Community Multi-scale Air Quality (CMAQ) model and quantify its contributions to sulfate formation. We find that the significance of this mechanism mainly depends on the enhancement effects (by 1–3 orders of magnitude as suggested by the available experimental studies) of nitrate photolysis rate constant (\"J\" _(〖\"NO\" 〗_\"3\" ^- )) in aerosol liquid water compared to that in the gas phase. Comparisons between model simulations and in-situ observations in Beijing suggest that this pathway can explain about 15% (assuming an enhancement factor (EF) of 10) to 65% (assuming EF = 100) of the model–observation gaps in sulfate concentrations during winter haze. Our study strongly calls for future research on reducing the uncertainty in EF. This dataset is not publicly accessible because: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China”\nModel simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.\n\nEmail: hzheng@g.harvard.edu. It can be accessed through the following means: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China”\nModel simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.\n\nEmail: hzheng@g.harvard.edu. Format: Data sets used in the analysis presented in the manuscript “Contribution of particulate nitrate photolysis to heterogeneous sulfate formation for winter haze in China”\nModel simulations were conducted by Tsinghua University in China and results are available from the Tsinghua University. Contact: Haotian Zheng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.\n\nEmail: hzheng@g.harvard.edu. \n\nThis dataset is associated with the following publication:\nSarwar, G., H. Zheng, S. Song, M. Gen, S. Wang, D. Ding, X. Chang, J. Xing, Y. Sun, D. Ji, C. Chan, J. Gao, and M. McElroy. Contribution of Particulate Nitrate Photolysis to Heterogeneous Sulfate Formation for Winter Haze in China.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 7(9): 632-638, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519341",
      "keyword": [
        "sulfate",
        "Nitrate photolysis",
        "heterogeneous reaction",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-12",
      "references": [
        "https://doi.org/10.1021/acs.estlett.0c00368"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biomarkers of Human Exposure: Plasma data (Augustine et al. 2015)",
      "description": "The data contained in this worksheet provides the median flourescence Intensity (MFI) readings for the plasma samples used to measure human antibody responses to the pathogens used in the multiplex. \n\nThis dataset is associated with the following publication:\nAugustine , S., K. Simmons, T. Eason , S. Griffin , C. Curioso, L. Wymer , S. Fout , A. Grimm , K. Oshima , and A. Dufour. Statistical approaches to developing a multiplex immunoassay for determining human exposure to environmental pathogens.   JOURNAL OF IMMUNOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 425(10): 1-9, (2015).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1390073",
      "keyword": [
        "median flourescence intensity",
        "exposure",
        "plasma",
        "multiplex immunoassay",
        "salivary antibodies",
        "Luminex xMAP technology",
        "immunoprevalence",
        "immunoconversions"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "Plasma data (Augustine et al 2015).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1390073/Plasma%20data%20%28Augustine%20et%20al%202015%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-11-06",
      "references": [
        "https://doi.org/10.1016/j.jim.2015.06.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "From field to groundwater: Quantifying crop N budgets, performance metrics and nitrate leaching in the southern Willamette Valley, Oregon",
      "description": "This file contains water balances, monthly nitrate leaching and concentrations, field site descriptions and field crop inputs and harvest information.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519331",
      "keyword": [
        "nitrogen",
        "nitrate",
        "nutrient managment",
        "groundwater",
        "well water",
        "water quality",
        "community research",
        "translational science"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "PINE data Leaching Crop Metrics Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519331/PINE%20data%20Leaching%20Crop%20Metrics%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519331/documents/PINE%20data%20SciHub.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "NWCA Survey Design",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. \n\nThis dataset is associated with the following publication:\nOlsen, T., T. Kincaid, M. Kentula, and M. Weber. Survey Design to Assess Condition of Wetlands in the United States.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 268, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518498",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1407622",
          "accessURL": "https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1007/s10661-019-7322-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS Hydrologic Data",
      "description": "Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. \n\nThis dataset is associated with the following publication:\nFergus, E., J.R. Brooks, P. Kaufmann, A. Herlihy, A. Pollard, M. Weber, and S. Paulsen. Lake Water Levels and Associated Hydrologic Characteristics in the Conterminous U.S..   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 450-471, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503026",
      "keyword": [
        "water stable isotope",
        "lake water balance parameters",
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/sites/production/files/2018-08/nla2012_isotopes_wide.csv",
          "accessURL": "https://www.epa.gov/sites/production/files/2018-08/nla2012_isotopes_wide.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/sites/production/files/2018-08/nla2007_isotopes_wide.csv",
          "accessURL": "https://www.epa.gov/sites/production/files/2018-08/nla2007_isotopes_wide.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1111/1752-1688.12817"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.epa.gov/sites/production/files/2018-08/isotopes_wide_met.txt"
      },
      "accessRights": "public"
    },
    {
      "title": "Water demand data and distribution network ",
      "description": "Observed and modeled water demand variations in a city's drinking water distribution system. This dataset is not publicly accessible because: EPA cannot release the personally identifiable information regarding the  water demand variations and drinking water distribution network information according to the Privacy and the Freedom of Information Act (FOIA). This data set contains information on the distribution network, which is under a signed confidential agreement for homeland security conditions. It can be accessed through the following means: Restricted access may be granted to authorized persons or organizations under a possible legal arrangement. Format: Data are stored in Excel and computer-modeling meta data. \n\nThis dataset is associated with the following publication:\nZhao, Y., J. Yang, Y. Shao, Y. Lee, and T. Zhang. Demand-Driven Spatiotemporal Variations of Flow Hydraulics and Water Age by Comparative Modeling Analysis of Distribution Network.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 144(12): 0401874  1-10, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518724",
      "keyword": [
        "Dispersion",
        "chlorine wall demand",
        "demand patterns",
        "numerical solution",
        "distribution system."
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Freshwater Science Table S1 Comparison of Spatial Autocovariance Models for Spatial Stream Network Analysis",
      "description": "This data compares spatial autocovariance models used in the modeling and prediction of specific conductivity over 8 sampling periods in an Eastern Kentucky watershed. \n\nThis dataset is associated with the following publication:\nMcManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  39(4): 1-18, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518570",
      "keyword": [
        "water quality",
        "stream networks",
        "spatial autocorrelation",
        "Specific Conductivity"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "FWSci_TableS1_SSN_ModelSelectStats.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518570/FWSci_TableS1_SSN_ModelSelectStats.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-24",
      "references": [
        "https://doi.org/10.1086/710340"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518570/documents/Data%20Dictionary%20Spatial%20Autocovariance%20Models.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Freshwater Science Figure S1A and B Block-Kriged Predictions of Specific Conductivity",
      "description": "This dataset shows the observed and predicted values of specific conductivity at 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014.  SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. \n\nThis dataset is associated with the following publication:\nMcManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  39(4): 1-18, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518674",
      "keyword": [
        "water quality",
        "stream networks",
        "spatial autocorrelation",
        "Specific Conductivity"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "BlockKrige_Fig_S1AB.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518674/BlockKrige_Fig_S1AB.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-11",
      "references": [
        "https://doi.org/10.1086/710340"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518674/documents/Data%20Dictionary%20for%20Figure%20S1A%20and%20B%20of%20Block%20Kriged%20Predictions.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Specific Conductivity Stream Network Modeling Eastern Kentucky Watershed Data, Code and Analysis HTMLS",
      "description": "This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014.  SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. \n\nThis dataset is associated with the following publication:\nMcManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  39(4): 1-18, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518672",
      "keyword": [
        "water quality",
        "stream networks",
        "spatial autocorrelation",
        "Specific Conductivity"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Model_Fit_S1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518672/Model_Fit_S1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-11",
      "references": [
        "https://doi.org/10.1086/710340"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518672/documents/DataDictionary_SpatialStreamNetworkModeling_RFBC_KentuckyWatershed.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Specific Conductivity Stream Network Predictions Eastern Kentucky Watershed Data, Code and HTML",
      "description": "This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014.  SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. \n\nThis dataset is associated with the following publication:\nMcManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  39(4): 1-18, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518673",
      "keyword": [
        "water quality",
        "stream networks",
        "spatial autocorrelation",
        "Specific Conductivity"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Model_Predict_S1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518673/Model_Predict_S1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-11",
      "references": [
        "https://doi.org/10.1086/710340"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518673/documents/DataDictionary_SpatialStreamNetworkModeling_RFBC_KentuckyWatershed.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "MPAS-A",
      "description": "The document in this data set lists the links to both the released version of the MPAS code, the modified MPAS code and the observational datasets used to evaluate the model updates presented in the publication. High resolution global model output is large and exceeded the limitations of this archive by several orders of magnitude. Thus the document also contains instructions on where the data resides, the data format, and how to obtain these data. \n\nThis dataset is associated with the following publication:\nCampbell, P., J. Bash, J. Herwehe, and R. Gilliam. Impacts of tiled land cover characterization in the Model for Predictions Across Scales-Atmosphere (MPAS-A).   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 125(15): e2019JD032093, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518460",
      "keyword": [
        "MPAS",
        "meteorological model",
        "land use",
        "WRF"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "Campbell et al 2020 JGR data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518460/Campbell%20et%20al%202020%20JGR%20data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-03",
      "references": [
        "https://doi.org/10.1029/2019jd032093"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Expanded coverage of NT-LC-HRMS using atmospheric pressure chemical ionization: A case study with ENTACT mixtures",
      "description": "LC data generated using APCI and ESI for  analysis ENTACT mixtures. \n\nThis dataset is associated with the following publication:\nSingh, R.R., A. Chao, K. Phillips, X.R. Xia, D. Shea, J. Sobus, E.L. Schymanski, and E. Ulrich. Expanded coverage of NT-LC-HRMS using atmospheric pressure chemical ionization: A case study with ENTACT mixtures.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 412(21): 4931–4939, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518426",
      "keyword": [
        "Atmospheric pressure chemical ionization (APCI)",
        "non-targeted analysis",
        "high-resolution mass spectrometry (HRMS)",
        "EPA's Non-Targeted Analysis Collaborative Trial (ENTACT)",
        "electrospray ionization (ESI)"
      ],
      "contactPoint": {
        "fn": "Elin Ulrich",
        "hasEmail": "mailto:ulrich.elin@epa.gov"
      },
      "distribution": [
        {
          "title": "For SciHub toxprint_V2_vs_final_smiles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518426/For%20SciHub%20toxprint_V2_vs_final_smiles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-22",
      "references": [
        "https://doi.org/10.1007/s00216-020-02716-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518426/documents/For%20SciHub%20toxprint_V2_vs_final_smiles.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s ",
      "description": "This data set pertains to the manuscript \"Exacerbation of ozone-induced pulmonary and systemic effects by 2-adrenergic and/or glucocorticoid agonist/s\". It shows the raw data for each figure in the manuscript that is created with these data. Basically examining the influence of beta adrenergic and glucocorticoid receptor agonists on ozone-induced lung injury and inflammation. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow, M. Schladweiler, C. Miller, J. Dye, A. Ledbetter, M. Hargrove, U. Kodavanti, and J. Richards. Exacerbation of ozone-induced pulmonary and systemic effects by beta2-adrenergic and/or glucocorticoid agonist/s.   Scientific Reports. Nature Publishing Group, London,  UK, 9(1): 17925, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518675",
      "keyword": [
        "clenbuterol",
        "glucocorticoid",
        "dexamethasone",
        "Ozone",
        "lung inflammation",
        "systemic metabolic"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez 2019 Manuscript for Sci Reports - Data for ScienceHub - Kodavanti 8-1-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518675/Henriquez%202019%20Manuscript%20for%20Sci%20Reports%20-%20Data%20for%20ScienceHub%20-%20Kodavanti%208-1-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-11",
      "references": [
        "https://doi.org/10.1038/s41598-019-54269-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-induced dysregulation of neuroendocrine axes requires adrenal-derived stress hormones",
      "description": "This study was performed to determine the role of adrenal-derived stress hormones in mediating brain effects after ozone exposure. Sham and adrenalectomized rats were exposed to air or ozone for 4 hours and within 2 hours after exposure brain regions, hypothalamus and brainstem were isolated and circulating pituitary hormones were analyzed. Global gene expression was analysed in these two brain regions using Illumina mRNA sequencing platform and data were analyzed using various bioinformatics platforms. The resulting data are included in this manuscript. \n\nThis dataset is associated with the following publication:\nHenriquez, A., J. House, S. Snow, C. Miller, M. Schladweiler, A. Astriab Fisher, H. Ren, M. Valdez, P. Kodavanti, and U. Kodavanti. Ozone-induced dysregulation of neuroendocrine axes requires adrenal-derived stress hormones.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  172(1): 38-50, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503697",
      "keyword": [
        "Ozone",
        "brainstem",
        "hypothalamus",
        "pituitary",
        "adrenalectomy",
        "neuroendocrine hormones"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez 2019 Manuscript for Tox Sci - Data for Science Hub - Kodavanti 3 28 19 (1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503697/Henriquez%202019%20Manuscript%20for%20Tox%20Sci%20-%20Data%20for%20Science%20Hub%20-%20Kodavanti%203%2028%2019%20%281%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-19",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz182"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mercury Accumulation in Fall Migrating Raptors through Central North America",
      "description": "The data consist of measured feather concentrations of total mercury (THg) in six species of raptors sampled at Hawk Ridge, Duluth MN between 2009 and 2012.  The species sampled were Sharp-shinned Hawk (Accipiter striatus), Northern Goshawk (Accipiter gentilis), Long-eared Owl (Asio otus), American Kestrel (Falco sparverius), Merlin (Falco columbarius), and Northern Harrier (Circus hudsonius). \n\nThis dataset is associated with the following publication:\nKeyel, E., M. Etterson, G. Niemi, D. Evers, C. DeSorbo, J. Hoffman, J. Nichols, Y. Li, and F. Nicoletti. Feather mercury increases with feeding at higher trophic levels in two species of migrant raptors, Merlin (Falco columbarius) and Sharp-shinned Hawk (Accipiter striatus).   The Condor. The Cooper Ornithological Society, Bend, OR, USA, 122: 1-17, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504127",
      "keyword": [
        "Hg",
        "Raptors",
        "Birds"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "KeyelEtAl.AppendixA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504127/KeyelEtAl.AppendixA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2014-07-01",
      "references": [
        "https://doi.org/10.1093/condor/duz069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Microbiome Sequence Data Set",
      "description": "The fasta file (BM_OTU.fasta) contain the sequences of the bacterial 16S rRNA-encoding V4 region gene (≈250 nt) for each Operational Taxonomic Unit (OTU). \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 11: 2254-2267, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1369387",
      "keyword": [
        "drinking water",
        "16S rRNA",
        "microbial communities",
        "OTU",
        "machine learning",
        "microbiome",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "BM_OTU.fasta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369387/BM_OTU.fasta.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/sra/?term=SRP069876",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra/?term=SRP069876",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-06",
      "references": [
        "https://doi.org/10.3389/fmicb.2020.571009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Microbiome Taxonomic Lineage Abundance Data Set",
      "description": "An abundance matrix (BM_taxonomic_lineage.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 11: 2254-2267, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1369389",
      "keyword": [
        "microbiome",
        "relative abundance",
        "drinking water",
        "taxonomy",
        "machine learning",
        "16S rRNA",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "BM_taxonomic_lineage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369389/BM_taxonomic_lineage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-06",
      "references": [
        "https://doi.org/10.3389/fmicb.2020.571009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Microbiome OTU Abundance Data Set",
      "description": "An abundance matrix (BM_OTU.xlsx) contains rows as OTU, columns as samples, and entries representing the abundance of each OTU as a ratio of all sequences obtained for each individual sample. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., and R. Revetta. Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 11: 2254-2267, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1369388",
      "keyword": [
        "microbiome",
        "OTU",
        "relative abundance",
        "drinking water",
        "machine learning",
        "16S rRNA",
        "nitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "BM_OTU.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1369388/BM_OTU.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-07-06",
      "references": [
        "https://doi.org/10.3389/fmicb.2020.571009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFBS tissue concentrations and liver gene expression in mice",
      "description": "File contains raw data collected on body and organ weights of mice given PFBS and body burden of the chemical after intervals of several hours, as well as expression of liver candidate genes for nuclear receptors at 24 h post-treatment. \n\nThis dataset is associated with the following publication:\nLau, C., J. Rumpler, K. Das, C. Wood, J. Schmid, M. Strynar, and J. Wambaugh. Pharmacokinetic profile of Perfluorobutane Sulfonate and activation of hepatic nuclear receptor target genes in mice.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 441: 152522, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519339",
      "keyword": [
        "PFBS",
        "pharmacokinetics",
        "transcriptomics",
        "chemical contaminant"
      ],
      "contactPoint": {
        "fn": "Christopher Lau",
        "hasEmail": "mailto:lau.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "PFBS_blk1-4_kdas_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519339/PFBS_blk1-4_kdas_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-14",
      "references": [
        "https://doi.org/10.1016/j.tox.2020.152522"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Impact of School Location and Commuting Choice on Children’s Air Pollution Exposures ",
      "description": "Commute scenarios in the .dta format for use with the Stata software package. \n\nThis dataset is associated with the following publication:\nBaldauf, R., M. Wolfe, N. McDonald, and S. Arunachalam. The Impact of School Location and Commuting Choice on Children’s Air Pollution Exposures.   Journal of Urban Affairs. Taylor & Francis Group, London,  UK, 672: 410-426, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1423769",
      "keyword": [
        "air quality",
        "school commute",
        "near-road",
        "walk",
        "bus"
      ],
      "contactPoint": {
        "fn": "Richard Baldauf",
        "hasEmail": "mailto:baldauf.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "School Commute Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1423769/School%20Commute%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-05",
      "references": [
        "https://doi.org/10.1080/07352166.2020.1734013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Joint measurements of black carbon and particle mass for heavydutydiesel vehicles using a portable emission measurement system",
      "description": "PEMS-chasing experiments were conducted for twelve heavy-duty diesel vehicles (HDDTs) to evaluate the accuracy of mobile measurement results. Two data processing approaches were integrated to automate the calculations of fuel consumption-based emission factors of nitrogen oxides (NOX). With a total of 245 plume chasing tests conducted, and then averaged by vehicle and road types, we found that the relative errors of vehicle-specific emission factors using an algorithm developed for this project were within approximately ± 20% of the PEMS results for all tested vehicles. Stochastic simulations suggested reasonable results could be obtained using fewer chasing tests per vehicle (e.g., 71% for freeways and 93% for local road, equivalent to two chase tests per vehicle). This study improves the understanding of the accuracy of the mobile chasing method, and provides a practical approach for real-time emission measurements for future scaled-up mobile chasing studies. \n\nThis dataset is associated with the following publications:\nWu, Y., H. Wang, K. Zhang, S. Zhang, R. Baldauf, P. Deshmukh, and R. Snow. Evaluating mobile monitoring of on-road emission factors by comparing concurrent PEMS measurements.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 736: NA, (2020).\nBaldauf, R., X. Zheng, Y. Wu, S. Zhang, K. Zhang, and J. Hao. Joint measurements of black carbon and particle mass for heavydutydiesel vehicles using a portable emission measurement system.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 141: 435-442, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503687",
      "keyword": [
        "diesel emissions",
        "truck study",
        "mobile chase data",
        "PEMS"
      ],
      "contactPoint": {
        "fn": "Richard Baldauf",
        "hasEmail": "mailto:baldauf.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for China MOST Chasing_PEMS Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503687/Data%20for%20China%20MOST%20Chasing_PEMS%20Paper.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139507",
        "https://doi.org/10.1016/j.atmosenv.2016.07.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying Air Pollution Source Impacts in Urban Communities Using Mobile Monitoring",
      "description": "Mobile monitoring data generated using an instrumented electric vehicle. \n\nThis dataset is associated with the following publication:\nDeshmukh, P., E. Kimbrough, R. Logan, S. Krabbe, V. Isakov, and R. Baldauf. Identifying Air Pollution Source Impacts in Urban Communities Using Mobile Monitoring.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  000, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518436",
      "keyword": [
        "mobile monitoring",
        "ultrafine particulate",
        "Black Carbon",
        "nitrogen dioxide",
        "KC-TRAQS",
        "rail",
        "near source",
        "pm2.5",
        "Sensors"
      ],
      "contactPoint": {
        "fn": "Evelyn Kimbrough",
        "hasEmail": "mailto:kimbrough.sue@epa.gov"
      },
      "distribution": [
        {
          "title": "Argentine All Zones all Winds.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Argentine%20All%20Zones%20all%20Winds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Argentine Zones_South Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Argentine%20Zones_South%20Winds_Stats.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Armourdale Zones_North Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Armourdale%20Zones_North%20Winds_Stats.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Armourdale Zones_South Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Armourdale%20Zones_South%20Winds_Stats.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Argentine Zones_North Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Argentine%20Zones_North%20Winds_Stats.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Armourdale All Zones All Winds.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Armourdale%20All%20Zones%20All%20Winds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Turner Zones_North Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Turner%20Zones_North%20Winds_Stats.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Turner Zones_South Winds_Stats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Turner%20Zones_South%20Winds_Stats.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "All Sites combined concentration data clean version.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/All%20Sites%20combined%20concentration%20data%20clean%20version.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Turner All Zones All Winds.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518436/Turner%20All%20Zones%20All%20Winds.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-13",
      "references": [
        "https://gcc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpi"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Age-related differences in pulmonary effects of acute and subchronic episodic ozone exposures in Brown Norway rats ",
      "description": "This data set provides the biological endpoints collected from individual animals that culminated into a published paper. \n\nThis dataset is associated with the following publication:\nSnow, S., C. Gordon , V. Bass, M. Schladweiler , A. Ledbetter , K. Jarema , P. Phillips , A. Johnstone , and U. Kodavanti. Age-related differences in pulmonary effects of acute and subchronic episodic ozone exposures in Brown Norway rats.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 28(7): 313-23, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1393582",
      "keyword": [
        "age-ozone pulmonary",
        "Ozone",
        "age-related susceptibility",
        "adaptation",
        "pulmonary",
        "whole-body plethysmography"
      ],
      "contactPoint": {
        "fn": "Christopher Gordon",
        "hasEmail": "mailto:gordon.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "AgeOzone Manuscript - Data for ScienceHub - Snow Kodavanti.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393582/AgeOzone%20Manuscript%20-%20Data%20for%20ScienceHub%20-%20Snow%20Kodavanti.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": [
        "https://doi.org/10.3109/08958378.2016.1170910"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DriLube VOC Concentrations, Pressure & Vacuum Readings and Metadata",
      "description": "There are 3 main databases. #1 is the VOC concentrations of soil gas and indoor air samples collected over the site. #2 is the pressure readings used to monitor the pressure differential between subslab and indoor air. #3 is the vacuum reading used to monitor effectiveness, strength, and reach of vacuum created during the SVE operation. \n\nThis dataset is associated with the following publication:\nStewart, L., C. Lutes, R. Truesdale, B. Schumacher, J. Zimmerman, and R. Connell. Field Study of Soil Vapor Extraction for Reducing Off‐Site Vapor Intrusion.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 40(1): 74-85, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503951",
      "keyword": [
        "vapor intrusion",
        "soil vapor extraction",
        "mitigation"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "SVE-VI_Datafiles_08-31-2018.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503951/SVE-VI_Datafiles_08-31-2018.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_TO-03_VOC-Results_08-31-18.xlsx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503951/SVE-VI_TO-03_VOC-Results_08-31-18.xlsx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_TO-03_Vacuum_Readings_08-31-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503951/SVE-VI_TO-03_Vacuum_Readings_08-31-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SVE-VI_TO-03_Pressure_Data_08-31-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503951/SVE-VI_TO-03_Pressure_Data_08-31-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-31",
      "references": [
        "https://doi.org/10.1111/gwmr.12359"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Commercial imagery for seagrass ",
      "description": "Seagrass detection using commercial satellite imagery from WorldView-2 (2 m) and RapidEye (6.5 m). \n\nThis dataset is associated with the following publication:\nCoffer, M., B. Schaeffer, R.C. Zimmerman, V. Hill, J. Li, K.A. Islam, and P. Whitman. Performance across WorldView-2 and RapidEye for reproducible seagrass mapping.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 250: 112036, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518572",
      "keyword": [
        "remote sensing",
        "atmospheric correction",
        "WorldView-2",
        "RapidEye",
        "seagrass",
        "commercial"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "MANUSCRIPT_DATA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518572/MANUSCRIPT_DATA.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-14",
      "references": [
        "https://doi.org/10.1016/j.rse.2020.112036",
        "https://pasteur.epa.gov/uploads/10.23719/1518572/documents/Creating_Input_Files.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1518572/documents/process_re_20200810.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1518572/documents/process_wv_20200810.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1518572/documents/Processing_RapidEye_Imagery.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1518572/documents/Processing_WorldView_Imagery.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MICRON Data (2015-2016) with associated R Markdown code",
      "description": "This data set includes water quality data and microbial community abundance tables for periphyton samples from this project.  The data set also includes extensive R markdown code used to process the data and generate the results included in the report. \n\nThis dataset is associated with the following publication:\nHagy, J., R. Devereux, K. Houghton, D. Beddick, T. Pierce, and S. Friedman. Developing Microbial Community Indicators of Nutrient Exposure in Southeast Coastal Plain Streams using a Molecular Approach. US EPA Office of Research and Development, Washington, DC, USA, 2018.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1415228",
      "keyword": [
        "nutrients",
        "genomics",
        "Stream Indicators"
      ],
      "contactPoint": {
        "fn": "James Hagy",
        "hasEmail": "mailto:hagy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "MICRON for ScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1415228/MICRON%20for%20ScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-31",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=P100TTZW.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for MICRON Nutrient Diffusing Substrate Paper",
      "description": "The data set includes abundance tables obtained after processing 16S rRNA gene sequences and 18S rRNA gene sequences using bioinformatic software.  Sequences were extracted from periphyton samples obtained from nutrient diffusing substrate experiments.  In addition, the data set includes ambient nutrient concentrations and physical water quality parameters from deployment sites.  The data set is zipped with R markdown programs used to generate the publications resulting from the study. \n\nThis dataset is associated with the following publication:\nHagy, J., K. Houghton, D. Beddick, J. James, S. Friedman, and R. Devereux. Quantifying stream periphyton assemblage responses to nutrient amendments with a molecular approach.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  39(June 2020): 292-308, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502570",
      "keyword": [
        "nutrients",
        "genomics",
        "Stream Indicators"
      ],
      "contactPoint": {
        "fn": "James Hagy",
        "hasEmail": "mailto:hagy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "NDS_Paper_for_Science_Hub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502570/NDS_Paper_for_Science_Hub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-17",
      "references": [
        "https://doi.org/10.1086/708935"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying Trans-Epithelial Effects of Inhaled Chemical Exposures on Stromal-Epithelial Oxidative Stress Dynamics in the Human Airway",
      "description": "Data include: trans-epithelial electrical resistance, FITC-dextran permeability, cell viability and gene expression (RNA and protein). \n\nThis dataset is associated with the following publication:\nFaber, S., N. McNabb, P. Ariel, E. Aungst, and S. McCullough. Exposure Effects Beyond the Epithelial Barrier: Trans-Epithelial Induction of Oxidative Stress by Diesel Exhaust Particulates in Lung Fibroblasts in an Organotypic Human Airway Model.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  177(1): 140-155, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517588",
      "keyword": [
        "lung",
        "organotypic",
        "Diesel Exhaust",
        "particulate matter",
        "trans-epithelial",
        "fibroblast",
        "epithelium",
        "new approach methodologies",
        "oxidative stress"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
      "distribution": [
        {
          "title": "2020 - TEEM Oxidative Stress Data - FINAL.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517588/2020%20-%20TEEM%20Oxidative%20Stress%20Data%20-%20FINAL.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-16",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "OGI Perfromance Study Dataset",
      "description": "Optical Gas Imaging (OGI) is an important next generation emission measurement (NGEM) technique for finding fugitive industrial emissions (leaks) of methane and volatile organic compounds. The ability of OGI to detect leaks depends on many factors including the skill and training of the OGI operator. This dataset was produced at the Colorado State University Methane Emissions Test and Evaluation Center (METEC) where simulated leaks of various sizes from oil and gas production equipment could be generated.  Dozens of OGI operators from different organizations with various levels of experience participated in a test series to establish their ability to detect leaks under varying conditions using the protocols and procedures they normally employ. This dataset contains the results from this test series.  The associated journal article advances understanding of OGI methods and training using these data. \n\nThis dataset is associated with the following publication:\nZimmerle, D., T. Vaughn, C. Bell, K. Bennett, E. Thoma, J. Dewees, and P. Deshmukh. Detection Limits of Optical Gas Imaging for Natural Gas Leak Detection in Realistic Controlled Conditions August 2020.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 54: 18, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506107",
      "keyword": [
        "OGI",
        "Oil and Gas",
        "Fugitive Emissions",
        "NGEM",
        "LDAR"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "OGI Study Dataset_ScID A-bcch..xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506107/OGI%20Study%20Dataset_ScID%20A-bcch..xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-05",
      "references": [
        "https://doi.org/10.1021/acs.est.0c01285"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "R Code of Simulations",
      "description": "The sims zip file contains R code and accompanying files needed to run the R code. Overall this code demonstrates the R code used in the study is fully functional, documented, and reproducible and that this code could reproduce the simulation results from the study with sufficient computing time. The code as presented is for a single simulated dataset and will produce estimates and confidence intervals produced by all the methods used within the study when run on that one dataset. \n\nThis dataset is associated with the following publication:\nNethery, R., F. Mealli, J. Sacks, and F. Dominici. Evaluation of the Health Impacts of the 1990 Clean Air Act Amendments Using Causal Inference and Machine Learning.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. Taylor & Francis Group, London,  UK,  1-12, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1504181",
      "keyword": [
        "air quality"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "sims.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504181/sims.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-02",
      "references": [
        "https://doi.org/10.1080/01621459.2020.1803883"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Calculation of emission factors used in publication of coastal wetland management as a contribution to the US National Greenhouse Gas Inventory",
      "description": "The calculation of emissions factors used to estimate carbon stock changes for coastal wetland areas in the US. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519420",
      "keyword": [
        "Coastal Wetlands",
        "carbon stock changes",
        "climate change",
        "mangroves",
        "tidal marshes",
        "greenhouse gas inventory",
        "IPCC 2013 Wetlands Supplement",
        "United Nations Framework Convention",
        "revegetation",
        "soil drainage",
        "rewetting"
      ],
      "contactPoint": {
        "fn": "Thomas Wirth",
        "hasEmail": "mailto:wirth.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/Smithsonian/Coastal-Wetland-NGGI-Data-Public/",
          "accessURL": "https://github.com/Smithsonian/Coastal-Wetland-NGGI-Data-Public/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2017-12-09",
      "references": [
        "https://dx.doi.org/10.1038/s41558-018-0345-0"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RJudson_Mansouri_CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity",
      "description": "Data and supplemental files from COMPARA (A large-scale modeling project). COMPARA combined multiple models developed in collaboration with modelers and computational toxicology scientists from 25 international groups to predict androgen receptor activity of a common set of 55,450 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 91 predictive models for binding, agonist, and antagonist. The consensus values for agonist and antagonist activity are being made public through the CompTox Chemicals Dashboard. \n\nThis dataset is associated with the following publication:\nMansouri, K., N. Kleinstreuer, R. Judson, A. Williams, I. Shah, and A. Richard. CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(2): 27002, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503701",
      "keyword": [
        "Androgen receptor",
        "computational toxicology",
        "CoMPARA",
        "ToxCast",
        "EDSP",
        "QSAR Models",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Data.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Data.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Eval_Set.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Eval_Set.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Submissions.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Submissions.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Analysis.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Analysis.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Consensus.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Antony_Williams/CoMPARA/Consensus.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-18",
      "references": [
        "https://doi.org/10.1289/ehp5580"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DLVO Modeling of Spores Dataset",
      "description": "Development of numerical models to predict stormwater-mediated transport of pathogenic spores in the environment depends on an understanding of adhesion forces that dictate detachment after rain events. Zeta potential values were measured for Bacillus globgii and Bacillus thuringiensis kurstaki, two common surrogates used to represent Bacillus anthracis, in synthetic baseline ultrapure water and laboratory stormwater. Zeta potential curves were also determined for materials representative of urban infrastructure (concrete and asphalt). These data were used to predict the interaction energy between the spores and urban materials using Derjaguin-Landau-Verwey-Overbeek (DLVO) modeling. B. globgii and B. thuringiensis kurstaki sourced from Yakibou Inc., were found to have similar zeta potential curves, whereas spores sourced from the U.S. military’s Dugway laboratory were found to diverge. In the ultrapure water, the energy barriers between the spores and the urban materials were tunable through compression of the double layer of the\nspores via changes of ionic strength and pH of the water. In the runoff water, charge neutralization dominated surface processes. The cations, metals, and natural organic matter (NOM) in the runoff water contributed to equalizing the zeta potential values for Dugway B. globgii and B. thuringiensis kurstaki, and drastically modified the surface of the concrete and asphalt. All DLVO energy curves using the runoff water were repulsive. The highest energy barrier predicted in this study was for Dugway B. globgii spores interacting with a concrete surface in runoff water, suggesting that this would be the most challenging combination to detach through water-based decontamination. \n\nThis dataset is associated with the following publication:\nMikelonis, A., K. Ratliff, and S. Youn. Laboratory results and mathematical modeling of spore surface interactions in storm water runoff.   JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 235: 103707, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503528",
      "keyword": [
        "water security",
        "biological",
        "anthrax",
        "stormwater",
        "DLVO",
        "Zeta potential"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "I_10mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/I_10mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "I_100mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/I_100mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Synthetic_Runoff.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Synthetic_Runoff.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ABtKTOC10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/ABtKTOC10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBgTOC10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/CBgTOC10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Asphalt_pH7_I10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Asphalt_pH7_I10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBgTOC1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/CBgTOC1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ABtKTOC1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/ABtKTOC1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH5_10mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH5_10mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBtKTOC1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/CBtKTOC1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH5_100mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH5_100mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH7_100mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH7_100mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBtKTOC10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/CBtKTOC10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH7_I10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH7_I10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH10_10mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH10_10mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH7_10mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH7_10mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Concrete_pH10_100mM.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/Concrete_pH10_100mM.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "baseline_water.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/baseline_water.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "runoff_water.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/runoff_water.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-20",
      "references": [
        "https://doi.org/10.1016/j.jconhyd.2020.103707"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503528/documents/SciHub_datadictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "An automated common algorithm for planetary boundary layer retrievals using aerosol lidars in support of the U.S. EPA Photochemical Monitoring Assessment Program",
      "description": "Ceilometers are devices for measuring and recording the height of clouds using laser based LiDAR technologies. They also can measure the height of planetary boundary layer (PBL), which is the lowest layer in the atmosphere directly influenced by the Earth’s surface. This dataset consists of retrievals from an automated planetary boundary layer (PBL) algorithm. This algorithm is proposed as a common cross-platform method for use with commercially available ceilometers. For additional assistance in access and interpreting the data please contact the listed authors. \n\nThis dataset is associated with the following publication:\nSzykman, J., D. Williams, V. Caicedo, R. Delgado, T. Knepp , K. Cavender, and B. Lefer. An automated common algorithm for planetary boundary layer retrievals using aerosol lidars in support of the U.S. EPA Photochemical Monitoring Assessment Program.   Journal of Atmospheric and Oceanic Technology. American Meteorological Society, Boston, MA, USA,  1-51, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518722",
      "keyword": [
        "PM2.5 forecast",
        "ensemble Kalman filter",
        "WRF-CMAQ",
        "WRF-Chem",
        "GEOS-Chem"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://alg.umbc.edu/ACES/",
          "accessURL": "https://alg.umbc.edu/ACES/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-15",
      "references": [
        "https://doi.org/10.1175/jtech-d-20-0050.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://alg.umbc.edu/wp-content/uploads/ACES/Processed/README.pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "The association between environmental quality and diabetes in the U.S. ",
      "description": "Population-based county-level estimates for diagnosed (DDP), undiagnosed (UDP), and total diabetes prevalence (TDP) were acquired from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (Evaluation 2017). Prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or hemoglobin A1C (HbA1C) levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (Dwyer-Lindgren, Mackenbach et al. 2016). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or A1C status for each BRFSS respondent (Dwyer-Lindgren, Mackenbach et al. 2016). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict the county-level prevalence of each of the diabetes-related outcomes (Dwyer-Lindgren, Mackenbach et al. 2016). Diagnosed diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis, represented as an age-standardized prevalence percentage. Undiagnosed diabetes was defined as proportion of adults (age 20+ years) who have a high FPG or HbA1C but did not report a previous diagnosis of diabetes. Total diabetes was defined as the proportion of adults (age 20+ years) who reported a previous diabetes diagnosis and/or had a high FPG/HbA1C. The age-standardized diabetes prevalence (%) was used as the outcome.\n\nThe EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nJagai, J., A. Krajewski, S. Shaikh, D. Lobdell, and R. Sargis. Association between environmental quality and diabetes in the U.S.A..   Journal of Diabetes Investigation. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(2): 315-324, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503437",
      "keyword": [
        "diabetes",
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2018-05-11",
      "references": [
        "https://doi.org/10.1111/jdi.13152"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "20200228_GX1 Science Hub_EHP_FINAL",
      "description": "This dataset contains all underlying data used to generate the figures contained in Gaballah et al. Evaluation of developmental toxicity, developmental neurotoxicity, and tissue dose in zebrafish exposed to GenX and other PFAS. \n\nThis dataset is associated with the following publication:\nGaballah, S., A. Swank, X.M. Howey, J. Sobus, J. Schmid, T. Catron, J. McCord, E. Hines, and M. Strynar. Evaluation of developmental toxicity, developmental neurotoxicity, and tissue dose in zebrafish exposed to GenX and other PFAS. NA. NA (ed.), ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(4): 047005-1 - 047005-22, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519354",
      "keyword": [
        "PFAS",
        "Polyfluorinated Alkyl Substances (PFAS)",
        "GenX",
        "zebrafish",
        "DNT",
        "Development neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Tamara Tal",
        "hasEmail": "mailto:tal.tamara@epa.gov"
      },
      "distribution": [
        {
          "title": "20200228_GX1 Science Hub_EHP_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519354/20200228_GX1%20Science%20Hub_EHP_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-28",
      "references": [
        "https://doi.org/10.1289/ehp5843"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E1 E2 metabolism v1",
      "description": "Feminization of male fish and the role of endocrine-active chemicals in this phenomenon has been an area of intense study for many years. Estrone (E1), a natural steroid, is found in aquatic environments sometimes at relatively high concentrations. However, E1 has been less thoroughly studied than 17β-estradiol (E2) or 17α-ethynylestradiol due in part to a relatively lower potency in metabolically-limited estrogen receptor (ER) binding/activation assays. Recent evidence suggests that in vivo biotransformation of E1 to E2 may occur in fathead minnows (Pimephales promelas) residing in environments with high concentrations of E1, such as near wastewater treatment plants. The enzymes likely responsible for this biotransformation, 17β-hydroxysteroid dehydrogenases (17βHSDs), have been well characterized in mammals but to a lesser extent in fish species. In the current study, a novel systematic analysis of amino acid sequence data from the National Center for Biotechnology Information database demonstrated that multiple 17βHSD isoforms are conserved across different fish species. Experimentally, we showed that metabolically-active hepatic cytosolic preparations from two commercially important salmonid species, rainbow trout and lake trout, biotransformed E1 to E2 to a degree sufficient to alter results of competitive ER binding assays. These results from in silico and in vitro analyses indicate E1 and biotransformation may play a significant role in the feminization of a variety of fish species in contaminated aquatic environments. \n\nThis dataset is associated with the following publication:\nTapper, M., R. Kolanczyk, C. LaLone, J. Denny, and G. Ankley. Conversion of estrone to 17â-Estradiol: A potential confounding factor in assessing risks of environmental estrogens to fish.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(10): 2028–2040, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518528",
      "keyword": [
        ": metabolism",
        "estrogen receptor",
        "fish",
        "estrone",
        "17β-estradiol",
        "17β-hydroxysteroid dehydrogenases"
      ],
      "contactPoint": {
        "fn": "Mark Tapper",
        "hasEmail": "mailto:tapper.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "tapper A-0p2w dataset E1 SUMMARY DATA MANUSCRIPT.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518528/tapper%20A-0p2w%20dataset%20E1%20SUMMARY%20DATA%20MANUSCRIPT.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-14",
      "references": [
        "https://doi.org/10.1002/etc.4828"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development and Evaluation of a High Throughput Inhalation Model for Organic Chemicals",
      "description": "This investigation was broken down into three interrelated steps: data collection, model building, and model evaluation. R software (v. 3.5.1) with the httk package (v. 1.9) was used for data organization, analysis, and visualization. All models and data associated with this manuscript are available in httk vX. \n\nThis dataset is associated with the following publication:\nLinakis, M., R. Sayre, R. Pearce, M.A. Sfeir, N. Sipes, H. Pangburn, J. Gearhart, and J. Wambaugh. Development and Evaluation of a High Throughput Inhalation Model for Organic Chemicals.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 30(5): 866-877, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504075",
      "keyword": [
        "toxicokinetics",
        "inhalation",
        "volatile",
        "generic model",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://CRAN.R-project.org/package=httk",
          "accessURL": "https://CRAN.R-project.org/package=httk",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard",
          "accessURL": "https://comptox.epa.gov/dashboard",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-11",
      "references": [
        "https://doi.org/10.1038/s41370-020-0238-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Corpus Christi Passive Sampler Study data set",
      "description": "This project “fenceline Passive Sampler and Sensor Studies” contains information on several related field efforts that examine use of passive sorbent tubes and prototype fenceline sensor technologies near sources of volatile organic compounds, with particular emphasis on the compound benzene.  There are three primary data sets included with multiple journal articles linked to these data sets.  The data sets with metadata and data dictionaries are as follows:\r\n\r\nCorpus Christi Passive Sampler Study data set:  Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, benzene data from automated gas chromatograph (TCEQ site), metrological data (TCEQ site).\r\n\r\nMultiregional Passive Sampler Study data set:  Two week duration time-integrated passive sampler concentration data, identity of passive samplers, sampling date and time periods for passive deployments, GPS locations of passive samplers, metrological data (local airports).\r\n\r\nPhiladelphia Sensor Studies data sets:  Baseline corrected five-minute time-resolved fenceline sensor (concetrion and wind field) data for (1) alpha version prototype system and (2) beta version prototype system, sampling time periods for utilized sensor deployments, GPS locations of all sensors,  five-minute time-resolved concentration data from co-located optical spectroscopy system (City of Philadelphia Air Measurements Services), metrological data (Philadelphia airport). \n\nThis dataset is associated with the following publication:\nBrantley, H., M. Fuentes, J. Guinness,, and E. Thoma. Spatial Quantile Regression for Data With Smooth Density Functions.   Statistica Sinica. International Chinese Statistical Association (ICSA), Statesboro, GA, USA,  1-14, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1407500",
      "keyword": [
        "Passive Samplers",
        "Fenceline Monitoring",
        "Sensors",
        "SPod",
        "benzene"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Corpus Christi Passive Sampler Study Data Set and Ditionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407500/Corpus%20Christi%20Passive%20Sampler%20Study%20Data%20Set%20and%20Ditionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-04-26",
      "references": [
        "https://arxiv.org/abs/1905.00048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Divergent trends in life expectancy across the rural-urban gradient and association with specific racial proportions in the contiguous United States 2000-2005",
      "description": "We used individual-level death data to estimate county-level life expectancy at 25 (e25) for Whites, Black, AIAN and Asian in the contiguous US for 2000-2005. Race-sex-stratified models were used to examine the associations among e25, rurality and specific race proportion, adjusted for socioeconomic variables. Individual death data from the National Center for Health Statistics were aggregated as death counts into five-year age groups by county and race-sex groups for the contiguous US for years 2000-2005 (National Center for Health Statistics 2000-2005). We used bridged-race population estimates to calculate five-year mortality rates. The bridged population data mapped 31 race categories, as specified in the 1997 Office of Management and Budget standards for the collection of data on race and ethnicity, to the four race categories specified under the 1977 standards (the same as race categories in mortality registration) (Ingram et al. 2003). The urban-rural gradient was represented by the 2003 Rural Urban Continuum Codes (RUCC), which distinguished metropolitan counties by population size, and nonmetropolitan counties by degree of urbanization and adjacency to a metro area (United States Department of Agriculture 2016). We obtained county-level sociodemographic data for 2000-2005 from the US Census Bureau. These included median household income, percent of population attaining greater than high school education (high school%), and percent of county occupied rental units (rent%). We obtained county violent crime from Uniform Crime Reports and used it to calculate mean number of violent crimes per capita (Federal Bureau of Investigation 2010). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Request to author. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nJian, Y., L. Neas, L. Messer, C. Gray, J. Jagai, K. Rappazzo, and D. Lobdell. Divergent trends in life expectancy across the rural-urban gradient among races in the contiguous United States.   International Journal of Public Health. Springer Basel AG, Basel,  SWITZERLAND, 64(9): 1367-1374, (2019).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504089",
      "keyword": [
        "life expectancy",
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2018-12-14",
      "references": [
        "https://doi.org/10.1007/s00038-019-01274-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Dataset for Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke",
      "description": "Evaluation of the performance of low cost particulate matter (PM) sensors for measuring wildfire smoke. Datasets include sensor PM concentrations, reference PM concentrations measured near several wild and prescribed fires across the U.S. \n\nThis dataset is associated with the following publication:\nHolder, A., A. Mebust, L. Maghran, M. McGown, K. Stewart, D. Vallano, R. Elleman, and K. Baker. Field evaluation of Low-Cost Particulate Matter Sensors for Measuring Wildfire Smoke.   Sensors. MDPI AG, Basel,  SWITZERLAND, 20(17): NA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518814",
      "keyword": [
        "particulate matter",
        "smoke",
        "Sensors",
        "air quality",
        "wildfire",
        "Wildfire smoke",
        "Prescribed Fires",
        "fine particulate matter (PM2.5)",
        "low cost air quality sensors"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "WF Sensor Evaluation Data Tables and Dictionary V2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518814/WF%20Sensor%20Evaluation%20Data%20Tables%20and%20Dictionary%20V2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-12",
      "references": [
        "https://doi.org/10.3390/s20174796"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "annual average model predicted concentrations without and with DMS chemistry",
      "description": "COMBINE_CONC_A0_2016_without_DMS_AVG.tar – annual average model predicted concentrations without DMS chemistry\n\nCOMBINE_CONC_A_2016_annual_AVG.tar – annual average model predicted concentrations with DMS chemistry\n\nGRIDCRO2D.108NHEMI2.44L.20060101.tar - file containing latitude and longitude of model grid-cell\n\nModel: The Community Multiscale Air Quality (CMAQv53) was used. It is available at https://www.epa.gov/cmaq. \n\nThis dataset is associated with the following publication:\nGantt, B., K. Foley, B. Henderson, H. Pye, K. Fahey, D. Kang, R. Mathur, J. Zhao, Y. Zhang, Q. Li, A. Saiz-Lopez, and G. Sarwar. Impact of dimethylsulfide chemistry on air quality over the Northern Hemisphere.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244: 117961, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519112",
      "keyword": [
        "dimethylsulfide",
        "seawater",
        "emissions",
        "sulfur dioxide",
        "sulfate"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "GRIDCRO2D.108NHEMI2.44L.20160101.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/GRIDCRO2D.108NHEMI2.44L.20160101.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_A0_2016_without_DMS_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A0_2016_without_DMS_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_CONC_A_2016_with_DMS_AVG.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/COMBINE_CONC_A_2016_with_DMS_AVG.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-22",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.117961"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519112/documents/SarwarGolaml_A-wwqt_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "IWIICI MatSu",
      "description": "Index of watershed integrity / Index of catchment integrity scores, along with component index scores and landscape metric values, for NHDPlusHR catchments in the Matanuska-Susitna Basin in Alaska. \n\nThis dataset is associated with the following publication:\nAho, K., J. Flotemersch, S. Leibowitz, M. LaCroix, and M. Weber. Applying the index of watershed integrity to the Matanuska–Susitna basin.   Arctic, Antarctic, and Alpine Research. Taylor & Francis Group, London,  UK, 52(1): 435-449, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1506084",
      "keyword": [
        "watershed integrity",
        "cold-climate hydrology",
        "sub-arctic",
        "catchment integrity"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/IWI/MatSu",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/IWI/MatSu",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1080/15230430.2020.1800219"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Solvent Suitability for HFPO-DA (“GenX” Parent Acid) in Toxicological Studies Data set",
      "description": "The Excel file includes data transcribed from Thermo QualBrowser software into the spreadsheet. The first tab of the spreadsheet is the data dictionary. \n\nThis dataset is associated with the following publication:\nLiberatore, H., S.R. Jackson, M. Strynar, and J. McCord. Solvent Suitability for HFPO-DA (“GenX” Parent Acid) in Toxicological Studies.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 7(7): 477-481, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520052",
      "keyword": [
        "PFAS",
        "HFPO-DA",
        "GC-MS",
        "GenX",
        "Fluoroether E-1",
        "Headspace analysis"
      ],
      "contactPoint": {
        "fn": "Hannah Liberatore",
        "hasEmail": "mailto:liberatore.hannah@epa.gov"
      },
      "distribution": [
        {
          "title": "20200115_GenX-E1_DMSO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520052/20200115_GenX-E1_DMSO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-15",
      "references": [
        "https://doi.org/10.1021/acs.estlett.0c00323"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "There are 26 data sets for the report.  The file titles indicate report sections where the data are used.",
      "description": "Title of each data set starts with the section number of report, which the data were used in analysis. \n\nThis dataset is associated with the following publication:\nYang, J., H. Wei, X. Wang, S. Buchberger, M. Liang, N. Chang, B. Bierwagen, S. Julius, Z. Li, D. Boccelli, R. Clark, H. Liu, and J. Neal. National Water Infrastructure Adaptation Assessment: Part II, Smart Urban Designer (SUD) and Application Case Studies. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503035",
      "keyword": [
        "Urban Planning",
        "water infrastructure",
        "adaptation",
        "air quality",
        "water quality",
        "Reliability",
        "risk management",
        "storm surge",
        "coastal hydrology",
        "source water change",
        "master planning",
        "economics"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Sec4.0 MOVES Sensitivity Analysis of Model Year.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.0%20MOVES%20Sensitivity%20Analysis%20of%20Model%20Year.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 AADVMT.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20AADVMT.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.1 T0 site geograpic information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.1%20T0%20site%20geograpic%20information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 2010_agedistribution.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%202010_agedistribution.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.1 T0 regression summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.1%20T0%20regression%20summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 AvgSpdDistribution.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20AvgSpdDistribution.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 CO2 Result Reasonableness Check.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20CO2%20Result%20Reasonableness%20Check.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 AADVMTCalculator_base2010_2VehicleTypes.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20AADVMTCalculator_base2010_2VehicleTypes.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 AverageSpeedDistribution_2010.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20AverageSpeedDistribution_2010.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.1 Liang et al AWMA presentation.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.1%20Liang%20et%20al%20AWMA%20presentation.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 EmissionInventory2010.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20EmissionInventory2010.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 Met_default.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20Met_default.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 MOVES Sensitivity Analysis of Model Year.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20MOVES%20Sensitivity%20Analysis%20of%20Model%20Year.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 roadTypeDist.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20roadTypeDist.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 SourceTypePopulation.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20SourceTypePopulation.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec5.3 NYC program_WA2.5_Lloyd.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec5.3%20NYC%20program_WA2.5_Lloyd.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec6.0 Report for EPA in application of WTP-ccam to GCWW.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec6.0%20Report%20for%20EPA%20in%20application%20of%20WTP-ccam%20to%20GCWW.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 VISUM2010_out.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20VISUM2010_out.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 FuelSupplyFormulation_Default_HC.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20FuelSupplyFormulation_Default_HC.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec4.2 MOVES2010BaseRate.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec4.2%20MOVES2010BaseRate.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec5.3 Draft WUCCAT SRS Ver 1.1 03172010.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec5.3%20Draft%20WUCCAT%20SRS%20Ver%201.1%2003172010.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec7.0 LV study_model codeREADME.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec7.0%20LV%20study_model%20codeREADME.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec7.0 LV study_TracerAlphaNode500hr.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec7.0%20LV%20study_TracerAlphaNode500hr.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec8.0 Matt ReSES and RARE summary.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec8.0%20Matt%20ReSES%20and%20RARE%20summary.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sec8.0 SLOSH_report_phase_II_12072016.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503035/Sec8.0%20SLOSH_report_phase_II_12072016.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Foresight in Federal Government: Supplemental Information - Interview Summaries",
      "description": "Interview Summaries with Federal Government partners. \n\nThis dataset is associated with the following publication:\nO'Farrell, T., B. Burchard, R. Olson, and J. Greenblott. Strategic Foresight in the Federal Government: A Survey of Methods, Resources and Institutional Arrangements.   World Futures Review. SAGE Publications, THOUSAND OAKS, CA, USA,  25, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518545",
      "keyword": [
        "Strategic Foresight",
        "Horizon Scanning",
        "scenario analysis",
        "Futures Wheels",
        "Backcasting"
      ],
      "contactPoint": {
        "fn": "Thomas O'Farrell",
        "hasEmail": "mailto:ofarrell.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "NIHMS1523455-supplement-sup_1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518545/NIHMS1523455-supplement-sup_1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750717/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750717/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-01",
      "references": [
        "https://doi.org/10.1177/1946756718814908"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Maternal High Fat Diet Modify Offspring Susceptibility to Inhaled Ozone-Induced Systemic Metabolic Alterations",
      "description": "Maternal high-fat diet (HFD) and obesity can increase the susceptibility of offspring to inhaled pollutants. In this study, we examined the influence of maternal HFD on metabolic responses to ozone in young Long-Evans rat offspring. F0-females began control (CD; 10%kcal from fat) or high-fat diet (HFD; 60%kcal from fat) at post-natal day (PND)-30. Rats were bred on PND-72 and allowed to give birth. Dietary regimen was maintained until PND-30 and then all offspring were switched to CD. On PND-40, female and male offspring-F1 (n=10/group) were exposed to air or 0.8-ppm ozone for 5h and within 1h serum samples were collected for neuroendocrine hormones and global metabolomic analysis. Offspring from HFD-dams had increased body fat and weight relative to CD, however, no major changes in circulating hormones were noted. Metabolomic analysis revealed significant sex, diet, and exposure-related changes in metabolites. Maternal HFD increased free fatty acids and decreased phospholipids (female>male). Also, microbiome-associated histidine and tyrosine metabolites were increased in both sexes of offspring, while 1,5-anhydroglucitol levels decreased in males. Ozone exposure increased free fatty acids in males from CD-dams but decreased in females from HFD-dams. Ozone also decreased monohydroxy fatty acids and acyl carnitines in females (HFD>CD). Moreover, it increased pyruvate along with TCA cycle intermediates in females suggesting an increase in glucose utilization. Ozone increased various amino acids, polyamines and metabolites of gut microbiota in HFD female offspring. Collectively, these data suggest that maternal HFD increases offspring susceptibility to metabolic alterations in a sex-specific manner when challenged with environmental stressors. \n\nThis dataset is associated with the following publication:\nSnow, S., K. Broniowska, E. Karoly, A. Henriquez, P. Phillips, A. Ledbetter, M. Schladweiler, C. Miller, C. Gordon, and U. Kodavanti. Offspring Susceptibility to Metabolic Alterations Due to Maternal High Fat Diet and the Impact of Inhaled Ozone Used as a Stressor.   Scientific Reports. Nature Publishing Group, London,  UK,  1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504164",
      "keyword": [
        "maternal high fat diet",
        "offsping susceptibility",
        "metabolomics",
        "neurohormones",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Damdiet ozone metabolomics-2019EHP.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504164/Damdiet%20ozone%20metabolomics-2019EHP.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-01",
      "references": [
        "https://doi.org/10.1038/s41598-020-73361-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for Figures and Tables in Early MicroRNA Indicators of PPARα Pathway Activation in the Liver",
      "description": "See Metadata and Notes associated with each data files for a description of each dataset. \n\nThis dataset is associated with the following publication:\nChorley, B., G. Carswell, G. Nelson, V. Bhat, and C. Wood. Early MicroRNA Indicators of PPARα Pathway Activation in the Liver.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 7: 805-815, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517790",
      "keyword": [
        "biomarkers",
        "microrna",
        "toxicoepigenetics",
        "Point of Departure Models",
        "liver cancer",
        "PPAR-alpha"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Figure 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 4_Supp Figs 4 & 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%204_Supp%20Figs%204%20%26%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 3a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%203a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Supp Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Supp%20Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Supp Figure 3.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Supp%20Figure%203.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 5b.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%205b.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 5a.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%205a.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figure 3b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517790/Data%20for%20Figure%203b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-09",
      "references": [
        "https://doi.org/10.1016/j.toxrep.2020.06.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figures in article: Mutagenicity- and Pollutant-Emission Factors of Pellet-Fueled Cookstoves",
      "description": "This dataset provides supporting information for figures in the journal article entitled: Mutagenicity- and Pollutant-Emission Factors of Pellet-Fueled Gasifier Cookstoves: Comparison with Other Combustion Sources. \n\nThis dataset is associated with the following publication:\nChampion, W., S. Warren, I. Kooter, W. Preston, T. Krantz, D. DeMarini, and J. Jetter. Mutagenicity- and Pollutant-Emission Factors of Pellet-Fueled Gasifier Cookstoves:  Comparison with Other Combustion Sources.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 739(October 15 2020): 139488, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519426",
      "keyword": [
        "Mutagenicity",
        "cookstoves",
        "emission factors",
        "biomass"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub - Variables and Data in Pellet Mutagenicity Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519426/ScienceHub%20-%20Variables%20and%20Data%20in%20Pellet%20Mutagenicity%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139488"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acetamiprid in syrup_2019_ScienceHub_Data.xlxs",
      "description": "Excel file with processed data used to generate each figure in the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518491",
      "keyword": [
        "bumble bee",
        "neonicotinoid",
        "acetamiprid",
        "microcolony",
        "pollinators",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Acetamiprid in syrup_2019_ScienceHub_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518491/Acetamiprid%20in%20syrup_2019_ScienceHub_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A multiphase CMAQ version 5.0 adjoint",
      "description": "We present the development of a multiphase adjoint for the Community Multiscale Air Quality (CMAQ) model, a widely used chemical transport model. The adjoint model provides location- and time-specific gradients that can be used in various applications such as backward sensitivity analysis, source attribution, optimal pollution control, data assimilation, and inverse modeling. The science processes of the CMAQ model include gas-phase chemistry, aerosol dynamics and thermodynamics, cloud chemistry and dynamics, diffusion, and advection. Discrete adjoints are implemented for all the science processes, with an additional continuous adjoint for advection. The development of discrete adjoints is assisted with algorithmic differentiation (AD) tools. Particularly, the Kinetic PreProcessor (KPP) is implemented for gas-phase and aqueous chemistry, and two different automatic differentiation tools are used for other processes such as clouds, aerosols, diffusion, and advection. The continuous adjoint of advection is developed manually. For adjoint validation, the brute-force or finite-difference method (FDM) is implemented process by process with box- or column-model simulations. Due to the inherent limitations of the FDM caused by numerical round-off errors, the complex variable method (CVM) is adopted where necessary. The adjoint model often shows better agreement with the CVM than with the FDM. The adjoints of all science processes compare favorably with the FDM and CVM. In an example application of the full multiphase adjoint model, we provide the first estimates of how emissions of particulate matter (PM2.5) affect public health across the US. This dataset is not publicly accessible because: Outside data. It can be accessed through the following means: contact : Amir Hakami <AmirHakami@cunet.carleton.ca>. Format: Model outputs in ioapi format, and analysis results in database format. \n\nThis dataset is associated with the following publication:\nZhao, S., A. Hakami, S. Capps, M. Turner, D. Henze, P. Percell, J. Resler, H. Shen, A. Russell, A. Nenes, A. Pappin, S. Napelenok, J. Bash, K. Fahey, J. Baek, G. Carmichael, C. Stanier, A. Sandu, and T. Chai. A multiphase CMAQ version 5.0 adjoint.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 13(7): 2925-2944, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520053",
      "keyword": [
        "air quality",
        "Sensitivity",
        "Adjoint",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-01",
      "references": [
        "https://doi.org/10.5194/gmd-13-2925-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Martin et al_Peat Telemetry Cardiovascular_All data ",
      "description": "This data set includes individual values for each animal that were used to calculate group means and standard deviations for all biological and functional data reported in the manuscript. \n\nThis dataset is associated with the following publication:\nMartin, B., L. Thompson, Y. Kim, C. King, S. Snow, M.C. Schladweiler, N.H. Coates, I. George, I. Gilmour, U. Kodavanti, M. Hazari, and A. Farraj. Peat Smoke Inhalation Alters Blood Pressure, Baroreflex Sensitivity and Cardiac Arrhythmia Risk in Rats.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 83(23-24): 748-763, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519147",
      "keyword": [
        "air pollution",
        "Wildland Fire",
        "Biomass smoke",
        "cardiovascular",
        "blood pressure",
        "heart rate",
        "baroreceptor sensitivity",
        "cardiac arrythmia",
        "inhalation",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "FarrajAimen_A-z09j_All Data_September-16-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519147/FarrajAimen_A-z09j_All%20Data_September-16-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-30",
      "references": [
        "https://doi.org/10.1080/15287394.2020.1826375"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Positive correlation between wood δ15N and stream nitrate in two temperate deciduous forests ",
      "description": "This dataset provides time series of tree ring N isotopes for individual trees and corresponding time series of temperature, precipitation, atmospheric N deposition, atmospheric S deposition, and disturbance in two temperate forests located in the eastern United States. \n\nThis dataset is associated with the following publication:\nSabo, R., A. Elmore, D. Nelson, C. Clark, T. Fisher, and K. Eshleman. Positive correlation between wood δ 15N and stream nitrate concentrations in two temperate deciduous forests.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 2(2): 1-17, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503707",
      "keyword": [
        "nitrogen",
        "tree rings",
        "stream",
        "nitrate",
        "acid deposition",
        "oligotrophication",
        "forest"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "science_hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503707/science_hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-15",
      "references": [
        "https://doi.org/10.1088/2515-7620/ab77f8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ingestion/egestion of microplastics and effects on growth in P. clivosa and A. cervicornis",
      "description": "All data is combined into one excel file, with data separated into different spreadsheets. Data includes ingestion and egestion of various size microplastics in two Caribbean coral species, Pseudodiploria clivosa and Acropora cervicornis. Data also includes growth measurements (buoyant weight, tissue surface area, and calcification) of each species. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519575",
      "keyword": [
        "coral",
        "microplastic",
        "ingestion",
        "Retention"
      ],
      "contactPoint": {
        "fn": "Cheryl Hankins",
        "hasEmail": "mailto:hankins.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "Alldata Acer Pcli.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519575/Alldata%20Acer%20Pcli.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519575/documents/DataDictionary%209-28-20.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata entry - Inferring changes in summertime surface ozone NOx-VOC chemistry over U.S. urban areas from two decades of satellite and ground-based observations",
      "description": "Urban ozone (O3) formation can be limited by NOx, VOCs, or both, complicating the design of effective O3 abatement plans. A satellite-retrieved ratio of formaldehyde to NO2 (HCHO/NO2), developed from theory and modeling, has previously been used to indicate O3 formation chemistry. Here, we connect this space-based indicator to spatiotemporal variations in O3 recorded by on-the-ground monitors over major U.S. cities. High-O3 events vary nonlinearly with OMI HCHO and NO2, and the transition from VOC-limited to NOx-limited O3 formation regimes occurs at higher HCHO/NO2 value (3 to 4) than previously determined from models, with slight intercity variations. To extend satellite records back to 1996, we develop an approach to harmonize observations from GOME and SCIAMACHY that accounts for differences in spatial resolution and overpass time. Two-decade (1996-2016) multisatellite HCHO/NO2 captures the timing and location of the transition from VOC-limited to NOx-limited O3 production regimes in major U.S. cities, which aligns with the observed long-term changes in urban-rural gradient of O3 and the reversal of O3 weekend effect. Our findings suggest promise for applying space-based HCHO/NO2 to interpret local O3 chemistry, particularly with the new-generation satellite instruments that offer finer spatial and temporal resolution. This dataset is not publicly accessible because: The data are publicly available on government-supported servers and are terabytes in size. It can be accessed through the following means: Please refer to the linked publication, visit archives described in the text or contact the corresponding authors for more information. Format: Data are processed as described in the linked publication - 10.1021/acs.est.9b07785 . \r\n\r\nData included in the analysis are from the European Quality Assurance for Essential Climate Variables project (QA4ECV; http://www.qa4ecv.eu/ecvs), and EPA/AQS and are publicly available at the time of publication. \r\n\r\nSatell. \n\nThis dataset is associated with the following publication:\nJin, X., A. Fiore, K.F. Boersma, I. De Smedt, and L. Valin. Inferring changes in summertime surface ozone-NOx-VOC chemistry over U.S. urban areas from two decades of satellite and ground-based observations.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 54(11): 6518-6529, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520080",
      "keyword": [
        "air quality",
        "Ozone",
        "nitrogen dioxide NO2",
        "Formaldehyde",
        "satellite"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-14",
      "references": [
        "https://doi.org/10.1021/acs.est.9b07785"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018.",
      "description": "PMF source apportionment model dataset inputs and outputs for 9 northwest monitoring sites with data from 2007 to 2018. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520135",
      "keyword": [
        "air quality",
        "PMF",
        "source apportionment",
        "pm2.5",
        "Pacific Northwest"
      ],
      "contactPoint": {
        "fn": "Robert Kotchenruther",
        "hasEmail": "mailto:kotchenruther.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Kotchenruther_PMF_output_factor_mass.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520135/Kotchenruther_PMF_output_factor_mass.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kotchenruther_PMF_output_factor_chem_profiles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520135/Kotchenruther_PMF_output_factor_chem_profiles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kotchenruther_PMF_input_speciation_uncertainty.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520135/Kotchenruther_PMF_input_speciation_uncertainty.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kotchenruther_PMF_input_speciation_mass.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520135/Kotchenruther_PMF_input_speciation_mass.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-24",
      "references": [
        "https://dx.doi.org/10.1016/j.atmosenv.2020.117724"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Small Scale MBR Monitoring Data",
      "description": "Real-time measurements of on-line parameters to assess water quality after treatment with a membrane bioreactor. \n\nThis dataset is associated with the following publication:\nLeow, A., J. Burkhardt, W. Platten III, B. Zimmerman, N. Brinkman , A. Turner, R. Murray , G. Sorial, and J. Garland. Application of the CANARY Event Detection Software for Real-Time Performance Monitoring in Water Reuse Systems.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 3(2): 224-234, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1376681",
      "keyword": [
        "water reuse",
        "CANARY",
        "event detection software"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "BrinkmanNichole_A-qrg5-Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376681/BrinkmanNichole_A-qrg5-Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-12-05",
      "references": [
        "https://doi.org/10.1039/c6ew00226a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Schoen et al 20xx_Data Set",
      "description": "Human-associated genetic marker concentrations in raw sewage. \n\nThis dataset is associated with the following publication:\nSchoen, M.E., A.B. Boehm, J. Soller, and O. Shanks. Contamination Scenario Matters when Using Viral and Bacterial Human-Associated Genetic Markers as Indicators of a Health Risk in Untreated Sewage-Impacted Recreational Waters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(20): 13101–13109, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517789",
      "keyword": [
        "Quantitative Microbial Risk Assessment",
        "Microbial Source Tracking",
        "CrAssphage",
        "hf183"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Schoen et al 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517789/Schoen%20et%20al%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-03",
      "references": [
        "https://doi.org/10.1021/acs.est.0c02189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Relative contributions of select multigeneration products to chamber SOA formed from photooxidation of a range (C10-C17) of n-alkanes under high NOx conditions",
      "description": "A series of chamber experiments was conducted to investigate the change in the relative contribution of multigeneration reaction products to total secondary organic aerosol (SOA) mass across a range of parent n-alkanes (C10-C17) that has a high potential for SOA formation in urban atmospheres. Contributions of select first, second, and higher generation products to SOA was investigated using online speciation by an aerosol mass spectrometer and varied substantially across the range of investigated alkanes. As expected, the presence of first-generation species in SOA is limited primarily by volatility with small contributions at the low end of the investigated n-alkane range and increasing gradually as the number of carbons is increased. The formation of lower volatility second and higher generation nitrate-containing species, in contrast, appears to be mechanistically limited leading to lower average contributions of organic nitrates to OA as the size of the parent n-alkane is increased. The impact of increased water vapor concentrations similarly varied with the size of the parent alkane with diminished effect as both alkane carbon number and generation number increased. The largest impacts of water, however, were between dry (~3%) and slightly humid (~14%) with little change observed at higher relative humidities. \n\nThis dataset is associated with the following publication:\nDocherty, K.S., W. Preston, R. Yaga, M. Jaoui, T. Riedel, J. Offenberg, T. Kleindienst, and M. Lewandowski. Relative contributions of select multigeneration products to chamber SOA formed from photooxidation of a range (C10-C17) of n-alkanes under high NOx conditions.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244(1): 117976, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504230",
      "keyword": [
        "alkane",
        "source apportionment",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Docherty Fig 1-4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504230/Docherty%20Fig%201-4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-22",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.117976"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data File for iAs Dose-response Manuscripts - Data files used in preparing four manuscripts describing dose-response methods that have been developed for the purposes of the EPA inorganic arsenic IRIS health assessment.",
      "description": "These datasets contain information used in support of tables, figures and conclusions made in four manuscripts related to EPA methods developed for the dose-response analysis of epidemiological studies of arsenic health effects. \n\nThis dataset is associated with the following publications:\nHobbie, K., K. Shao, C. Henning, W. Mendez, Jr, J. Lee, I. Cote, I. Druwe, A. Davis, and J. Gift. Use of study-specific MOE-like estimates to prioritize health effects from chemical exposure for analysis in human health assessments.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 144: 1-14, (2020).\nMendez, W., K. Shao, J. Lee, I. Cote, I. Druwe, A. Davis, and J. Gift. Model Averaging Methods for the Evaluation of Dose-Response Model Uncertainty When Assessing the Suitability of Studies for Estimating Risk.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 143: 1-11, (2020).\nAllen, B., K. Shao, K. Hobie, W. Mendez Jr, J. Lee, I. Cote, I. Druwe, J. Gift, and A. Davis. Systematic dose-response of environmental epidemiologic studies: Dose and Response Pre-Analysis.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 142: 105810, (2020).\nAllen, B., K. Shao, K. Hobbie, W. Mendez Jr, J. Lee, I. Cote, I. Druwe, J. Gift, and A. Davis. Bayesian Hierarchical Dose-response Meta-analysis  of Epidemiological Studies : Modeling and Target Population Prediction Methods.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 145: 106111, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1502484",
      "keyword": [
        "inorganic arsenic",
        "dose-response"
      ],
      "contactPoint": {
        "fn": "Jeffrey Gift",
        "hasEmail": "mailto:gift.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "bootstrap_bladder_case_num_adj_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/bootstrap_bladder_case_num_adj_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary-MOE_paper_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/Data_Dictionary-MOE_paper_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bladder and Lung Cancer Dose response Read Me_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/Bladder%20and%20Lung%20Cancer%20Dose%20response%20Read%20Me_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "bootstrap_lung_cases_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/bootstrap_lung_cases_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "bootstrap_mean_expo_march2016big_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/bootstrap_mean_expo_march2016big_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A_Summary_For_CaseControl_20161002_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/A_Summary_For_CaseControl_20161002_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "A_Summary_For_Cohort_20180713_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/A_Summary_For_Cohort_20180713_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary_MR1_paper_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/Data_Dictionary_MR1_paper_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S8-Steinmaus2013_CE5_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S8-Steinmaus2013_CE5_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S9-Wu2013_U&I_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S9-Wu2013_U%26I_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2-Bates2004_DW4_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S2-Bates2004_DW4_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S3-Chen_2010_NE_Taiwan_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S3-Chen_2010_NE_Taiwan_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S5-Sawada_females_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S5-Sawada_females_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S4-Meliker2010_CE5_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S4-Meliker2010_CE5_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S6-Sawada_males_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S6-Sawada_males_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S7-Steinmaus2003_CE5_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S7-Steinmaus2003_CE5_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1-Bates1995_CE5_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S1-Bates1995_CE5_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S10-BC_Morbidity_Lifetable_10ugL_MLE_inh_bkg_0.31_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S10-BC_Morbidity_Lifetable_10ugL_MLE_inh_bkg_0.31_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S6 - bladder cancer lifetable results_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S6%20-%20bladder%20cancer%20lifetable%20results_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S5-Gamma distribution for B_mean prior_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S5-Gamma%20distribution%20for%20B_mean%20prior_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S11-BC_Morbidity_Lifetable_10ugL_MLE_inh_bkg_0.6_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S11-BC_Morbidity_Lifetable_10ugL_MLE_inh_bkg_0.6_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary_MR2_paper_508.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/Data_Dictionary_MR2_paper_508.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S8-final bladder cancer Stan runs_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S8-final%20bladder%20cancer%20Stan%20runs_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S12-alternative_gamma_prior_results_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502484/S12-alternative_gamma_prior_results_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-26",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.105986",
        "https://doi.org/10.1016/j.envint.2020.105857",
        "https://doi.org/10.1016/j.envint.2020.105810",
        "https://doi.org/10.1016/j.envint.2020.106111"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figures in journal article entitled: Cookstove emissions and performance evaluation using a new ISO protocol and comparison of results with previous test protocols",
      "description": "This file includes data for figures in the journal article entitled: Cookstove emissions and performance evaluation using a new ISO protocol and comparison of results with previous test protocols.  A description of variables and acronyms is included. \n\nThis dataset is associated with the following publication:\nChampion, W., M. Hays, C. Williams, L. Virtaranta, M. Barnes, W. Preston, and J. Jetter. Cookstove emissions and performance evaluation using a new ISO protocol and comparison of results with previous test protocols.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA,  0, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520079",
      "keyword": [
        "cookstove",
        "stove",
        "emission",
        "efficiency"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub - Variables and Data in ISO Protocol Paper v5 WMC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520079/ScienceHub%20-%20Variables%20and%20Data%20in%20ISO%20Protocol%20Paper%20v5%20WMC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-25",
      "references": [
        "https://pubs.acs.org/doi/10.1021/acs.est.1c03390?ref=PDF"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multi-scale availability of neonicotinoid-treated seed for wildlife in an agricultural landscape during spring planting",
      "description": "Neonicotinoid pesticides are applied to seeds and are known to cause lethal and sub-lethal effects in birds and mammals. Neonicotinoid-treated seeds could be available to wildlife through spillage or exposed seeds near or at the soil surface due to incomplete or shallow drilling. We quantified seed spills that may occur during loading or refilling the hopper at a landscape-scale using road-based surveys. We also quantified undrilled seeds in 1-m2 frames on the soil in the center and corner of fields to obtain estimates at the field scale. We broadcast seeds on the soil surface of a tilled field and left them for 0, 1, 2, 4, 8, 16, and 30 days to quantify neonicotinoid decrease under field conditions. Lastly, we documented wildlife at neonicotinoid-treated seed spills with trail cameras. We estimated the number of spills during planting to be 3,496 (95%CI: 1,855–5,138) and 2,609 (95%CI: 862–4,357) for corn, 11,009 (95%CI: 6,950–15,067) and 21,105 (95%CI: 6,162–36,048) for soybean, and 830 (95%CI: 160–1,500) and 791 (95%CI: 0–1,781) for wheat in 2016 and 2017, respectively. Exposed seeds were present at the soil surface in 35% of 71 fields. The probability that seeds were present on the soil surface was higher for soybeans (18.8 and 49.4% in the center and corners, respectively) than for corn (1.6 and 2.7%, respectively), and seed densities were also higher (1.04 vs 0.07 seeds/m2, respectively). Neonicotinoids decreased rapidly on seeds on the soil surface but persisted as long as 30 days. Over a dozen species of birds and mammals consumed seeds at simulated spills, with an average time for birds to find spills of 1.3 ± 1.5 days and an average time to consumption of 4.1 ± 3.4 days. Seeds are abundant on the soil surface for wildlife to consume during the spring planting season and should be considered in pesticide risk assessments. This dataset is not publicly accessible because: These data were generated by a non-EPA entity and that entity prefers to provide the data to the public using their procedures. A point of contact is provided in this record. It can be accessed through the following means: Please contact the primary author for these data. Dr. Charlotte Roy of the Minnesota Department of Natural Resources. \r\nEmail address: charlotte.roy@state.mn.us. Format: The data are housed in Excel spreadsheets. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519581",
      "keyword": [
        "Agriculture",
        "Birds",
        "mammals",
        "Midwestern United States",
        "pesticide",
        "treated seeds",
        "neonicotinoids"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [],
      "modified": "2019-04-30",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of the ozone problem in the contiguous United States”",
      "description": "Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. \n\nThis dataset is associated with the following publication:\nLuo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518558",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "sitecompare_data_LuoEtAl2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518558/sitecompare_data_LuoEtAl2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-31",
      "references": [
        "https://doi.org/10.1080/10962247.2020.1805375"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518558/documents/LuoEtAl_AssessingTheManageablePortion_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) alters maternal and fetal glucose and lipid metabolism and produces neonatal mortality, low birthweight, and hepatomegaly in the Sprague-Dawley rat Dataset",
      "description": "Complete summary data (mean, error, sample size) for all figures and tables associated with the present manuscript, which characterizes maternal, fetal, and neonatal effects of oral exposure to HFPO-DA (GenX) during gestation in the Sprague-Dawley rat . \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, J. McCord, M. Strynar, D. Hill, E. MedlockKakaley, V. Wilson, and E. Gray. Hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) alters maternal and fetal glucose and lipid metabolism and produces neonatal mortality, low birthweight and hepatomegaly  in the Sprague-Dawley rat.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 146: 106204, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520445",
      "keyword": [
        "Polyfluorinated Alkyl Substances (PFAS)",
        "HFPO-DA",
        "GenX",
        "Developmental Toxicity"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "ConleyJustin_A-x3gb_Dataset_20201102.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520445/ConleyJustin_A-x3gb_Dataset_20201102.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-02",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.106204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520445/documents/ConleyJustin_A-x3gb_Dataset_Dictionary_20201102.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Nelms_In Silico Guidance_In Vitro ToxCast Assays",
      "description": "The US EPA Toxicity Forecasting (ToxCast) project has involved the generation of large amount of high throughput in vitro data (Over 4000 chemicals tested in between 100 and 700 assays). This data is generated in a consistent manner, and includes a wide variety of chemicals including industrial and consumer products, food additives, pesticides, and drugs. These chemicals were not chosen because they were expected to be active, resulting in a database containing a balance of positive and negative data points. As such this data is useful for computational model construction. This in vitro data has been used at the EPA and elsewhere in modelling approaches, including computational modelling for specific target binding as biological descriptors for toxicity prediction, and pharmacokinetic modelling of human dose responses. All analyses in the generation of the burst flag hit-call matrix and extraction of chemicals for the targets in this study (AR and GR) were performed using R v3.1.2. \n\nThis dataset is associated with the following publication:\nAllen, T.E., M.D. Nelms, S.W. Edwards, J.M. Goodman, S. Gutsell, and P.J. Russell. In Silico Guidance for In Vitro Androgen and Glucocorticoid Receptor ToxCast Assays.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(12): 7461-7470, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503080",
      "keyword": [
        "molecular initiating event",
        "structure activity relationship (SAR)",
        "structural alert",
        "ToxCast database",
        "adverse outcome pathway",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "burst_flag_hitcall_2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503080/burst_flag_hitcall_2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://epa.figshare.com/articles/ToxCast_Database_invitroDB_/6062623",
          "accessURL": "https://epa.figshare.com/articles/ToxCast_Database_invitroDB_/6062623",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-17",
      "references": [
        "https://doi.org/10.1021/acs.est.0c01105"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2019 Manuscript Data",
      "description": "Formaldehyde air concentration data and decontamination efficacy data from controlled laboratory studies. \n\nThis dataset is associated with the following publications:\nChoi, Y., M. Sunderman, M. McCauley, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Formaldehyde Vapor Characteristics in Varied Decontamination Environments.   Applied Biosafety. SAGE Publications, THOUSAND OAKS, CA, USA, 25(2): 24, (2020).\nChoi, Y., M. Sunderman, M. McCauley, W. Richter, Z. Willenberg, J. Wood, S. Serre, L. Mickelsen, S. Willison, R. Rupert, J. Muniz-Ortiz, S. Casey, and W. Calfee. Decontamination of Bacillus Spores with Formaldehyde Vapor under Varied Environmental Conditions.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 25(2): 14, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503682",
      "keyword": [
        "Decontamination",
        "Bacillus anthracis",
        "Formaldehyde",
        "formalin"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "DATA-Manuscipt_Vapor Characteristics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503682/DATA-Manuscipt_Vapor%20Characteristics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DATA-Manuscript_Vapor Efficacy against Ba.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503682/DATA-Manuscript_Vapor%20Efficacy%20against%20Ba.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-12",
      "references": [
        "https://doi.org/10.1177/1535676020926968",
        "https://doi.org/10.1177/1535676020926975"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452)",
      "description": "The data used are from curation of legacy studies and stored in ToxRefDB. \n\nThis dataset is associated with the following publication:\nPham, L.L., S. Watford, P. Pradeep, M. Martin, R. Thomas, R. Judson, W. Setzer, and K. Paul-Friedman. Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 15(August 2020): 100126, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518556",
      "keyword": [
        "in vivo data",
        "variance",
        "ToxRefDB",
        "Uncertainty",
        "predictive models"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/",
          "accessURL": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-01-13",
      "references": [
        "https://doi.org/10.1016/j.comtox.2020.100126"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Spatio-Temporal Modeling Approach to Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida",
      "description": "Data support the publication \"Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida\". \n\nThis dataset is associated with the following publication:\nMyer, M., E. Urquhart, B. Schaeffer, and J. Johnston. Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 8: 581091, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518919",
      "keyword": [
        "cyanobacterial bloom",
        "Spatiotemporal",
        "West Nile",
        "vector-borne disease",
        "arboviral",
        "Bayesian"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental4_LakeData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518919/Supplemental4_LakeData.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental2_LakePixels.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518919/Supplemental2_LakePixels.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FL_POLYshapefiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518919/FL_POLYshapefiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.3389/fenvs.2020.581091",
        "https://pasteur.epa.gov/uploads/10.23719/1518919/documents/Supplemental3_RCode.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518919/documents/CyanSupplementalDataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 decay",
      "description": "Decay rates of SARS-CoV-2 and murine hepatitis virus. This dataset is not publicly accessible because: Data is property of CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. It can be accessed through the following means: Contact Warish Ahmed (Warish.Ahmed@csiro.au). Format: No public link available. Data will be in an ecel format. \n\nThis dataset is associated with the following publication:\nAhmed, W., P.M. Bertsch, K. Bibby, E. Haramoto, J. Hewitt, F. Huygens, P. Gyawali, A. Korajkic, S. Riddell, S.P. Sherchan, S.L. Simpson, K. Sirikanchana, E.M. Symonds, R. Verhagen, S.S. Vasan, M. Kitajima, and A. Bivins. Decay of SARS-CoV-2 and surrogate murine hepatitis virus RNA in untreated wastewater to inform application in wastewater-based epidemiology.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 191: 110092, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519194",
      "keyword": [
        "SARS-CoV-2",
        "MHV",
        "decay",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2020-08-03",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.110092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Watershed modeling and MODIS data integration",
      "description": "Watershed modeling and MODIS data integration. This dataset is not publicly accessible because: Data is property of Texas A&M University Kingsville. It can be accessed through the following means: Contact Dr. Adnan Rajib, Texas A&M University, Kingsville. Format: Excel spreadsheet. \n\nThis dataset is associated with the following publication:\nRajib, A., I.L. Kim, H. Golden, C. Lane, S. Kumar, Z. Yu, and S. Jeyalakshmi. Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area Index Improves Hydrology and Water Quality Predictions.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(13): 2148, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518773",
      "keyword": [
        "remote sensing",
        "watershed modeling",
        "hydrology",
        "leaf area index"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-01",
      "references": [
        "https://doi.org/10.3390/rs12132148"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of Polyoxymethylene (POM-H Delrin) offgassing within Pandora head sensor on direct sun and multi-axis formaldehyde column measurements in 2016–2019",
      "description": "Formaldehyde column data from the Pandora spectrometer collected during the KORUS-AQ field campaign.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520149",
      "keyword": [
        "Formaldehyde",
        "pandora",
        "KORUS-AQ",
        "air quality",
        "remote sensing"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "accessURL": "https://www-air.larc.nasa.gov/missions/korus-aq/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All CSMI data for 2006, 2011, and 2016 needed for paper",
      "description": "This dataset provides zooplankton density and biomass information for each station visited during the three past Lake Superior CSMI surveys summarized by major taxonomic groups.  Also included is the design weights for the surveys, which allow you to do the various statistical tests that we did in the paper. \n\nThis dataset is associated with the following publication:\nPawlowski, M., and M. Sierszen. A lake-wide approach for large lake zooplankton monitoring: Results from the 2006–2016 Lake Superior Cooperative Science and Monitoring\nInitiative surveys.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(4): 1015-1027, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503831",
      "keyword": [
        "Lake Superior",
        "zooplankton",
        "Cooperative Science and Monitoring Initiative",
        "Great Lakes",
        "probability based sampling"
      ],
      "contactPoint": {
        "fn": "Matthew Pawlowski",
        "hasEmail": "mailto:pawlowski.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "zoop_all_dataset_20190509_withChemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503831/zoop_all_dataset_20190509_withChemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GLNPO_m3flowbiomass_offshore_1997-2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503831/GLNPO_m3flowbiomass_offshore_1997-2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-09",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "R script",
      "description": "This file includes an annotated R script used for data analysis for this project. Data files called in this script are also uploaded. Annotations within the script equate to metadata. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510478",
      "keyword": [
        "underwater video",
        "Benthos",
        "Great Lakes",
        "crowdsourcing",
        "citizen science",
        "Dreissena",
        "round goby"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "R script used for data processing- Deep Lake Explorer.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510478/R%20script%20used%20for%20data%20processing-%20Deep%20Lake%20Explorer.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "deep-lake-explorer-subjects.xlsx",
      "description": "These data were exported from Deep Lake Explorer and include metadata about the subjects (video clips) analyzed in DLE. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510474",
      "keyword": [
        "underwater video",
        "Benthos",
        "Great Lakes",
        "crowdsourcing",
        "citizen science",
        "Dreissena",
        "round goby"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "deep-lake-explorer-subjects.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510474/deep-lake-explorer-subjects.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "phase-ii-classifications.xlsx",
      "description": "This file contains the individual classifications done by users on Zooniverse for the video clip subjects. Metadata is in the file as a separate spreadsheet. See R script for data analysis. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510475",
      "keyword": [
        "underwater video",
        "Benthos",
        "Great Lakes",
        "crowdsourcing",
        "citizen science",
        "Dreissena",
        "round goby"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "phase-ii-classifications.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510475/phase-ii-classifications.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sitenamewithdrops.xlsx",
      "description": "This sheet correlates the subject_id (assigned by Zooniverse) to the SiteID, Video filename and DropSiteID. See R script for analysis. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510476",
      "keyword": [
        "underwater video",
        "Benthos",
        "Great Lakes",
        "crowdsourcing",
        "citizen science",
        "Dreissena",
        "round goby"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "sitenamewithdrops.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510476/sitenamewithdrops.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "usercomments.xlsx",
      "description": "These data were exported from Deep Lake Explorer and include all comments made by volunteers on Deep Lake Explorer's Talk forum prior to 9/12/2019. A data dictionary is included as a separate sheet within this spreadsheet. See R script for data analysis. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, R. Debbout, J. Launspach, and M. Nord. Deep Lake Explorer: A web application for crowdsourcing the classification of benthic underwater video from the Laurentian Great Lakes.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1469-1478, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1510477",
      "keyword": [
        "underwater video",
        "Benthos",
        "Great Lakes",
        "crowdsourcing",
        "citizen science",
        "Dreissena",
        "round goby"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "usercomments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510477/usercomments.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-19",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "European flounder larvae stable isotope study",
      "description": "Location and date associated with carbon and nitrogen stable isotope ratios of European flounder larvae and potential sources of organic matter supporting their diet, as well as outputs of the stable isotope mixing model to quantify the diet contributions from the various sources of organic matter. \n\nThis dataset is associated with the following publication:\nDias, E., A.G. Barros, J. Hoffman, C. Antunes, and P. Morais. Habitat use and food sources of European flounder larvae across an estuarine gradient.   Regional Studies in Marine Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 34: 101196, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504605",
      "keyword": [
        "Platichthys flesus",
        "stable isotopes",
        "recruitment",
        "nursery",
        "estuaries."
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-5mkz_Dataset_20191023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504605/HoffmanJoel_A-5mkz_Dataset_20191023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-05",
      "references": [
        "https://doi.org/10.1016/j.rsma.2020.101196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Saunders et al_IVIVE paper_Science Hub_entry_08142020",
      "description": "The purpose of is this study was to evaluate the potential for biotransformation in the gastrointestinal tissues (GIT) of fish to impact chemical bioaccumulation.  In vitro biotransformation of two polycyclic aromatic hydrocarbons, pyrene (PYR) and benzo[a]pyrene (BAP), and two organic sunscreen agents, 2-ethylhexyl-4-methoxycinnamate (EHMC) and octocrylene (OCT), was measured using S9 fractions isolated from liver tissue and tissues of the upper GIT in rainbow trout.  For PYR, BAP, and EHMC, activity was substantially higher in liver S9 fractions than in GIT S9 fractions.  For OCT, activity was highest in GIT S9 fractions.  An existing in vitro-in vivo extrapolation (IVIVE) model for fish, which yields a whole-animal biotransformation rate constant (kMET), was expanded to consider biotransformation in the GIT.  The kMET values obtained using measured rates of in vitro activity (liver and GIT) were in good agreement with kMET values measured in controlled in vivo experiments, providing strong support for the IVIVE approach.  Moreover, inclusion of GIT activity into the model prediction for OCT resulted in much better agreement with the empirical kMET estimate than was obtained using a ‘liver only’ model.  These findings suggest that current ‘liver only’ approaches to IVIVE modeling may underestimate in vivo whole-animal biotransformation rates for chemicals that undergo substantial biotransformation in the GIT.  Thus, failure to consider biotransformation in the GIT may lead to overestimation of true levels of bioaccumulation. \n\nThis dataset is associated with the following publication:\nSaunders, L., P. Fitzsimmons, J. Nichols, and F. Gobas. In vitro-in vivo extrapolation of hepatic and gastrointestinal biotrasnformation rates of hydrophobic chemicals in rainbow trout.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 228: 1-12, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519218",
      "keyword": [
        "bioaccumulation",
        "biotransformation",
        "animal alternatives",
        "in vitro-in vivo extrapolation",
        "intestinal biotransformation",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Saunders et al_IVIVE paper_ScienceHub_entry_08142020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519218/Saunders%20et%20al_IVIVE%20paper_ScienceHub_entry_08142020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-14",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2020.105629"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used by EPA researchers to generate illustrative figures for overview article \"Multiscale Modeling of Background Ozone: Research Needs to Inform and Improve Air Quality Management\"",
      "description": "Data sets used to prepare illustrative figures for the overview article “Multiscale Modeling of Background Ozone”\nOverview\n\nThe CMAQ model output datasets used to create illustrative figures for this overview article were generated by scientists in EPA/ORD/CEMM and EPA/OAR/OAQPS. \n\nThe EPA/ORD/CEMM-generated dataset consisted of hourly CMAQ output from two simulations. The first simulation was performed for July 1 – 31 over a 12 km modeling domain covering the Western U.S. The simulation was configured with the Integrated Source Apportionment Method (ISAM) to estimate the contributions from 9 source categories to modeled ozone. ISAM source contributions for July 17 – 31 averaged over all grid cells located in Colorado were used to generate the illustrative pie chart in the overview article. The second simulation was performed for October 1, 2013 – August 31, 2014 over a 108 km modeling domain covering the northern hemisphere. This simulation was also configured with ISAM to estimate the contributions from non-US anthropogenic sources, natural sources, stratospheric ozone, and other sources on ozone concentrations. Ozone ISAM results from this simulation were extracted along a boundary curtain of the 12 km modeling domain specified over the Western U.S. for the time period January 1, 2014 – July 31, 2014 and used to generate the illustrative time-height cross-sections in the overview article. \n\nThe EPA/OAR/OAQPS-generated dataset consisted of hourly gridded CMAQ output for surface ozone concentrations for the year 2016. The CMAQ simulations were performed over the northern hemisphere at a horizontal resolution of 108 km. NO2 and O3 data for July 2016 was extracted from these simulations generate the vertically-integrated column densities shown in the illustrative comparison to satellite-derived column densities.\n\nCMAQ Model Data\n\nThe data from the CMAQ model simulations used in this research effort are very large (several terabytes) and cannot be uploaded to ScienceHub due to size restrictions. The model simulations are stored on the /asm archival system accessible through the atmos high-performance computing (HPC) system.  Due to data management policies, files on /asm are subject to expiry depending on the template of the project. Files not requested for extension after the expiry date are deleted permanently from the system. The format of the files used in this analysis and listed below is ioapi/netcdf. Documentation of this format, including definitions of the geographical projection attributes contained in the file headers, are available at \nhttps://www.cmascenter.org/ioapi/ \n\nDocumentation on the CMAQ model, including a description of the output file format and output model species can be found in the CMAQ documentation on the CMAQ GitHub site at\nhttps://github.com/USEPA/CMAQ. \n\nThis dataset is associated with the following publication:\nHogrefe, C., B. Henderson, G. Tonnesen, R. Mathur, and R. Matichuk. Multiscale Modeling of Background Ozone: Research Needs to Inform and Improve Air Quality Management.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  1-6, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519042",
      "keyword": [
        "background ozone",
        "source apportionment",
        "model development",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_HogrefeEtAl_A-brvh.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519042/Data_HogrefeEtAl_A-brvh.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-13",
      "references": [
        "https://pubs.awma.org/flip/EM-Nov-2020/hogrefe.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519042/documents/DataDictionary_HogrefeEtAl_A-brvh.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Revisiting Five Years of CASMI Contests with EPA Identification Tool",
      "description": "An investigation was performed on each of the individual CASMI datasets to identify whether the chemicals were present in DSSTox, the database underlying the Dashboard (see Methods for details). As our identification workflow relies on database presence, the presence or absence of a chemical in the database is clearly highly influential in terms of overall performance. Results from the dataset assembly analysis from each CASMI year dataset are presented in Table 1 and described in detail by dataset year below (complete datasets are provided in Supplemental File 2 and available as lists on the Dashboard). \n\nThis dataset is associated with the following publication:\nMcEachran, A., A. Chao, H. Al-Ghoul, C. Lowe, C. Grulke, J. Sobus, and A. Williams. Revisiting Five Years of CASMI Contests with EPA Identification Tools.   Metabolites. MDPI AG, Basel,  SWITZERLAND, 10(6): 260, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520123",
      "keyword": [
        "non-targeded analysis",
        "high-resolution mass spectrometry",
        "Mass spectral fragmentation prediction",
        "compound database",
        "spectral library",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental File 3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%203.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental File 2_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%202_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental File 1_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520123/Supplemental%20File%201_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-19",
      "references": [
        "https://doi.org/10.3390/metabo10060260"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for A Risk-Based Evaluation of Onsite, Non-Potable Reuse Systems Developed in Compliance with Conventional Water Quality Measures",
      "description": "This is the dataset for the research article \"A Risk-Based Evaluation of Onsite, Non-Potable Reuse Systems Developed in Compliance with Conventional Water Quality Measures\".  It compiles the risk results for various reuse configurations and treatment levels that are described in the text. \n\nThis dataset is associated with the following publication:\nSchoen, M., M. Jahne, and J. Garland. A Risk-Based Evaluation of Onsite, Non-Potable Reuse Systems Developed in Compliance with Conventional Water Quality Measures.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 18(3): 331-334, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504599",
      "keyword": [
        "NSF 350",
        "QMRA",
        "MBR",
        "greywater",
        "wastewater",
        "non-potable",
        "reuse"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset with metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504599/Dataset%20with%20metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-17",
      "references": [
        "https://doi.org/10.2166/wh.2020.221"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata:  Data sets, data type, and data source for all pathway surrogates",
      "description": "Data sets, data type, and data source for all pathway surrogates used for determining the “index of invasion pressure”. \n\nThis dataset is associated with the following publication:\nTucker, A., L. Chadderton, G. Annis, A. Davidson, J. Bossenbroek, S. Hensler, M. Hoff, J. Hoffman, E. Jensen, D. Kashian, S. LeSage, and T. Strakosh. A framework for aquatic invasive species surveillance site selection and prioritization in the US waters of the Laurentian Great Lakes.   Management of Biological Invasions. Regional Euro-Asian Biological Invasions Centre, Helsinki,  FINLAND, 11(3): 607–632, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519008",
      "keyword": [
        "Aquatic invasive species",
        "surveillance",
        "monitoring",
        "Laurentian Great Lakes"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://glahf.org/data/",
          "accessURL": "https://glahf.org/data/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://glahf.org/framework/",
          "accessURL": "https://glahf.org/framework/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://invasion.si.edu./nbic",
          "accessURL": "https://invasion.si.edu./nbic",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://coast.noaa.gov/digitalcoast/stories/gleam.html",
          "accessURL": "https://coast.noaa.gov/digitalcoast/stories/gleam.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://glmris.anl.gov/",
          "accessURL": "https://glmris.anl.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-09-25",
      "references": [
        "https://doi.org/10.3391/mbi.2020.11.3.17"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E329 Exercise Ozone Study Dataset",
      "description": "Mitochondrial bioenergetics changes in different brain regions related to effects from ozone with rats that have chronically exercised or have been continuously sedentary. Also includes immunohistochemistry data for glial markers in hypothalamus and hippocampus. \n\nThis dataset is associated with the following publication:\nValdez, M., J. Valdez, D. Freeborn, A. Johnstone, and P. Kodavanti. The Effects of Ozone Exposure and Sedentary Lifestyle on Neuronal Microglia and Mitochondrial Bioenergetics of Female Long-Evans Rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 408: 115254, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503428",
      "keyword": [
        "Ozone",
        "Exercise",
        "Mitochondria",
        "microglia",
        "Astrocytes"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "E329_Exercise Ozone Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503428/E329_Exercise%20Ozone%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-01",
      "references": [
        "https://doi.org/10.1016/j.taap.2020.115254"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chromium XAS Data. Linear combination fitting data - Figure 4. XANES data - Figure S11",
      "description": "Data for Figure 4 includes the EXAFS data for 4 samples and corresponding linear combination fits, in addition to a Cr(OH)3 spectra showing the samples are Cr(OH)3 through comparison.\nData for Figure S11 includes the XANES data for 4 samples and two Cr references. \n\nThis dataset is associated with the following publication:\nYao, J., Y. Huang, Y. Hou, B. Yang, L. Lei, X. Tang, K.G. Scheckel, Z. Li, D. Wu, and D.D. Dionysiou. Graphene-modified graphite paper cathode for the efficient bioelectrochemical removal of chromium.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 405: 126545, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517580",
      "keyword": [
        "synchrotron speciation",
        "chromium",
        "hexavalent chromium",
        "microbial fuel cell",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure4Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517580/Figure4Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS11Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517580/FigureS11Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-11",
      "references": [
        "https://doi.org/10.1016/j.cej.2020.126545"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput screening tools facilitate calculation of a combined exposure-bioactivity index for chemicals with endocrine activity",
      "description": "Dataset consists of high throughput in vitro bioactivity data and exposure predictions from the U.S. EPA’s Toxicity and Exposure Forecaster (ToxCast and ExpoCast) project. \n\nThis dataset is associated with the following publication:\nWegner, S., C. Pinto, C. Ring, and J. Wambaugh. High-throughput screening tools facilitate calculation of a combined exposure-bioactivity index for chemicals with endocrine activity.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 137: 105470, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503178",
      "keyword": [
        "Mixtures",
        "Endocrine Disruptors",
        "ToxCast",
        "httk",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-02",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.105470"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Structure and Composition of Puerto Rico's Urban Mangroves MetaData",
      "description": "Mangrove forests face heightened pressure from human development, which may directly replace these ecosystems or indirectly influence their structure and composition through a variety of anthropogenic activities. As a result, surrounding human communities receive lower overall ecosystem services from the remaining forests, which have been valued among the highest in the world and include fisheries habitat support, shoreline protection and stabilization from natural disasters, and water filtration. Although urban mangrove forests have been characterized as distinct in composition and structure in comparison with their non-urban counterparts, previous studies lack quantified representations of urbanness as well as any inclusion of hydrology or water chemistry, which are important influences on mangrove forest structure, composition, and function. This study uses ground-based and LiDAR measurements of mangroves across urban gradients in Puerto Rico to characterize forest composition and structure. It then tests for the relative importance of urbanization alongside flooding metrics and surface water chemistry in explaining observed variability in forest structure and composition. This data set includes all data and R scripts used in the analysis of Puerto Rico's urban mangroves. Data sets include individual tree species identification and diameter measurements as well as biomass. It also includes summary statistics from LiDAR (Light Detection and Ranging) measurements flown by NASA's GLiHT program. Finally, data sets include descriptive metrics for study sites such as land cover and land use, hydrology, and water chemistry. \n\nThis dataset is associated with the following publication:\nbranoff, b., and S. Martinuzzi. The Structure and Composition of Puerto Rico’s Urban Mangroves.   Forests. MDPI AG, Basel,  SWITZERLAND, 11(10): 1119, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518771",
      "keyword": [
        "urban mangroves",
        "social-ecological systems",
        "urban forestry"
      ],
      "contactPoint": {
        "fn": "Benjamin Branoff",
        "hasEmail": "mailto:branoff.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://osf.io/uk2fd/",
          "accessURL": "https://osf.io/uk2fd/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-06-09",
      "references": [
        "https://doi.org/10.3390/f11101119"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”",
      "description": "Files containing daily average total and speciated PM2.5 observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”. \n\nThis dataset is associated with the following publication:\nLuo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 20(22): 13801-13815, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506002",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "sitecompare_data_3sites_LuoEtAl_ACP_2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506002/sitecompare_data_3sites_LuoEtAl_ACP_2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-31",
      "references": [
        "https://doi.org/10.5194/acp-20-13801-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506002/documents/HogrefeChristian_Data_Dictionary_LuoEtAl_ACP.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Grulke_EPA’s DSSTox Chemical Structure Database",
      "description": "The US Environmental Protection Agency’s (EPA) Distributed Structure-Searchable Toxicity (DSSTox) database, launched publicly in 2004, currently exceeds 875 K substances spanning hundreds of lists of interest to EPA and environmental researchers. From its inception, DSSTox has focused curation efforts on resolving chemical identifier errors and conflicts in the public domain towards the goal of assigning accurate chemical structures to data and lists of importance to the environmental research and regulatory community. In 2014, the legacy, manually curated DSSTox_V1 content was migrated to a MySQL data model, with modern cheminformatics tools supporting both manual and automated curation processes to increase efficiencies. Currently, DSSTox serves as the core foundation of EPA’s CompTox Chemicals Dashboard [https://comptox.epa.gov/dashboard], which provides public access to DSSTox content in support of a broad range of modeling and research activities within EPA and, increasingly, across the field of computational toxicology. \n\nThis dataset is associated with the following publication:\nGrulke, C., A. Williams, I. Thillainadarajah, and A. Richard. EPA’s DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 12: 100096, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503738",
      "keyword": [
        "computational toxicology",
        "data quality",
        "Structure curation",
        "chemistry database",
        "qsar",
        "environmental science",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.8068211.v1",
          "accessURL": "https://doi.org/10.23645/epacomptox.8068211.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-02",
      "references": [
        "https://doi.org/10.1016/j.comtox.2019.100096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions",
      "description": "Two .Rdata files containing the data used for the statistical modeling and figures in the paper.  \ndaily_2000_2016.Rdata  = dataset with daily meteorology and ozone data for 2000 through 2016\nozone_sites_2000_2016.Rdata = dataset with information on the ozone monitoring sites (e.g., longitude, latitude). \n\nThis dataset is associated with the following publication:\nWells, B., P. Dolwick, B. Eder, M. Evangelista, K. Foley, E. Mannshardt, C. Misenis, and A. Weshampel. Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 248: 118234, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520465",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "MetAdj_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520465/MetAdj_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-30",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118234"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520465/documents/Meta_Data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "TullyJennifer_A-sj4n_SDMP_20200303",
      "description": "Calculations and the underlying data used to characterize and describe the calcium-lead phosphate minerals identified in lead service line pipe scales. \n\nThis dataset is associated with the following publication:\nDeSantis, M., M. Schock, J. Tully, and C. Bennett-Stamper. Orthophosphate Interactions with Destabilized PbO2 Scales.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(22): 14302–14311, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518383",
      "keyword": [
        "Pb(IV)",
        "phosphate",
        "lead",
        "pipe scale",
        "corrosion control"
      ],
      "contactPoint": {
        "fn": "Jennifer Tully",
        "hasEmail": "mailto:tully.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "TullyJennifer_A-sj4n_SDMP_20200303.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518383/TullyJennifer_A-sj4n_SDMP_20200303.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-03",
      "references": [
        "https://doi.org/10.1021/acs.est.0c03027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518383/documents/TullyJennifer_A-sj4n_SDMP_datadictionary_20200303.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "formalin effects data",
      "description": "RNA sequencing data from paired: (1) fresh-frozen, (2) direct-fixed in formalin for 18 hours, (3) frozen then formalin-fixed, or (4) frozen then ethanol-fixed and paraffin-embedded (n=6/group/condition) tissue samples from the livers of mice exposed to 600 ppm phenobarbital vs. vehicle control for 7 days in drinking water. RNA sequencing data from paired fresh frozen and 18 hr. formalin-fixed paraffin-embedded liver tissue from mice administered 1500, 3000, and 6000 ppm DEHP or vehicle control for 7 days by dietary ingestion; or RNA sequencing data from paired fresh frozen, 18 hr. formalin fixed paraffin embedded, or 3 wk. formalin fixed paraffin embedded liver tissue from mice administered 8 mg/kg/d Furan or vehicle control for 3 weeks by gavage. \n\nThis dataset is associated with the following publication:\nWehmas, L., S. Hester, and C.E. Wood. Direct Formalin Fixation Induces Widespread Transcriptomic Effects in Archival Tissue Samples.   Scientific Reports. Nature Publishing Group, London,  UK, 10: 14497, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518503",
      "keyword": [
        "Formalin-fixed paraffin embedded samples",
        "mode of action (MOA)",
        "RNA-sequencing",
        "Gene expression profiles",
        "phenobarbital",
        "furan",
        "DEHP",
        "molecular pathway analysis"
      ],
      "contactPoint": {
        "fn": "Leah Wehmas",
        "hasEmail": "mailto:wehmas.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "Formalin_effect_MS_Master_Table_2_20200728.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518503/Formalin_effect_MS_Master_Table_2_20200728.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formalin_effect_MS_Master_Table_20200728_complete.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518503/Formalin_effect_MS_Master_Table_20200728_complete.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formalin_effect_MS_Master_Table_3_20200728.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518503/Formalin_effect_MS_Master_Table_3_20200728.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formalin_effect_MS_Master_Table_4_20200728.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518503/Formalin_effect_MS_Master_Table_4_20200728.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formalin_effects_manuscript_supplementary_table_legends.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518503/Formalin_effects_manuscript_supplementary_table_legends.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-21",
      "references": [
        "https://doi.org/10.1038/s41598-020-71521-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TZurlinden_pluripotent human (H9) embryonic stem cell ",
      "description": "The data presented here support the application of the Stemina devTOXqP platform for predictive toxicology and further demonstrate its value in ToxCast as a novel resource that can generate testable hypotheses aimed at characterizing potential pathways for teratogenicity and HTS prioritization of environmental chemicals for an exposure-based assessment of developmental hazard.\n\nThe dataset from the Stemina (STM) assay is annotated in the ToxCast portfolio as STM. Major findings from the analysis of ToxCast_STM dataset include (1) 19% of 1065 chemicals yielded a prediction of developmental toxicity, (2) assay performance reached 79%-82% accuracy with high specificity (> 84%) but modest sensitivity (< 67%) when compared with in vivo animal models of human prenatal developmental toxicity, (3) sensitivity improved as more stringent weights of evidence requirements were applied to the animal studies, and (4) statistical analysis of the most potent chemical hits on specific biochemical targets in ToxCast revealed positive and negative associations with the STM response, providing insights into the mechanistic underpinnings of the targeted endpoint and its biological domain. The results of this study will be useful to improving our ability to predict in vivo developmental toxicants based on in vitro data and in silico models. \n\nThis dataset is associated with the following publication:\nZurlinden, T., K. Saili, N. Rush, P. Kothiya, R. Judson, K. Houck, E. Hunter, N. Baker, J. Palmer, R. Thomas, and T. Knudsen. Profiling the ToxCast Library With a Pluripotent Human (H9) Stem Cell Line-Based Biomarker Assay for Developmental Toxicity.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  174(2): 189-209, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503699",
      "keyword": [
        "Predictive Toxicology",
        "developmental toxicology",
        "embryonic stem cells",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.11819265",
          "accessURL": "https://doi.org/10.23645/epacomptox.11819265",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-21",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KPF_Examining the Utility of In Vitro Bioactivity as a Protective Point of Departure: A Case Study_APCRA",
      "description": "The files and .R scripts here are provided to aid in understanding and reproduction of the analyses in the submitted paper, \"Examining the Utility of In Vitro Bioactivity as a Protective Point of Departure: A Case Study.\"\nThe scripts in the .R folder reference source files in the other folders. \n\nThis dataset is associated with the following publication:\nFriedman, K., M. Gagne, L. Loo, P. Karamertzanis, T. Netzeva, T. Sobanski, J. Franzosa, A. Richard, R. Lougee, A. Gissi, J.J. Lee, M. Angrish, J. Dorne, S. Foster, K. Raffaele, T. Bahadori, M. Gwinn, J. Lambert, M. Whelan, M. Rasenberg, T. Barton-Maclaren, and R. Thomas. Utility of In Vitro Bioactivity as a Lower Bound Estimate of In Vivo Adverse Effect Levels and in Risk-Based Prioritization.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  173(1): 202-225, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503823",
      "keyword": [
        "high-throughput screening",
        "high-throughput toxicokinetics",
        "Threshold of Toxicological Concern (TTC)",
        "point of departure (POD)",
        "new approach methodologies",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/-Examining-the-Utility-of-In-Vitro-Bioactivity",
          "accessURL": "https://github.com/USEPA/-Examining-the-Utility-of-In-Vitro-Bioactivity",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-04",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz201"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sensitivity analysis result",
      "description": "A regular adjoint model simulation result. This dataset is not publicly accessible because: The data is owned by the first author Ms. Wang. It can be accessed through the following means: Please contact the first author Ms. Wang. Format: netCDF format",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520439",
      "keyword": [
        "ajoint model",
        "Ozone",
        "PM25",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2020-07-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gulf of Mexico Nutrient, carbon, CTD data",
      "description": "Gulf of Mexico cruise, nearshore and CTD data collected by the USEPA during 2002 - 2008. \n\nThis dataset is associated with the following publication:\nPauer, J., W. Melendez, T. Feist, J. Lehrter, B. Rashleigh, L. Lowe, and R. Greene. The impact of alternative nutrient kinetics and computational grid size on model predicted primary production and hypoxic area in the northern Gulf of Mexico.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 26: 1-13, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502530",
      "keyword": [
        "mathematical model",
        "model uncertainty",
        "Gulf of Mexico",
        "Hypoxia"
      ],
      "contactPoint": {
        "fn": "James Pauer",
        "hasEmail": "mailto:pauer.james@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_GED_INSHORE for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502530/EPA_GED_INSHORE%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GED GoM Nutrients for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502530/GED%20GoM%20Nutrients%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GED GoM CTD for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502530/GED%20GoM%20CTD%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-27",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2020.104661"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transitioning the generalised read-across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data",
      "description": "This repository contains code, input and output files associated with the GenRA acute toxicity case study that was published by Helman et al (2019) in Computational Toxicology. \n\nThis dataset is associated with the following publication:\nHelman, G., I. Shah, and G. Patlewicz. Transitioning the Generalised Read-Across approach (GenRA) to quantitative predictions: A case study using acute oral toxicity data.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 12(November 2019): 100097, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504437",
      "keyword": [
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-GenRA-acutetox-comptoxicol",
          "accessURL": "https://github.com/USEPA/CompTox-GenRA-acutetox-comptoxicol",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-25",
      "references": [
        "https://doi.org/10.1016/j.comtox.2019.100097"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USGS/EPA Culture versus Enrichment PCR Dataset",
      "description": "The dataset provides the raw data in support of Tables 1-4 of the paper and include: colony forming unit (CFU) data for each of three replicates of sand, loam, and clay soils; results for the sand/clay and loam/clay soil blend culture experiments; Quibit DNA concentration data; and polymerase chain reaction data. \n\nThis dataset is associated with the following publication:\nGriffin, D., J. Lisle, D. Feldhake, and E. Silvestri. Colony-Forming Unit Spreadplate Assay versus Liquid Culture Enrichment-Polymerase Chain Reaction Assay for the Detection of Bacillus Endospores in Soils.   Geosciences. MDPI AG, Basel,  SWITZERLAND, 10(1): 14, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503523",
      "keyword": [
        "B. anthracis",
        "B. globigii",
        "spores",
        "PCR",
        "enrichment",
        "culture",
        "detection"
      ],
      "contactPoint": {
        "fn": "Erin Silvestri",
        "hasEmail": "mailto:silvestri.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of EPA loam sand clay experimet data_ees.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503523/Copy%20of%20EPA%20loam%20sand%20clay%20experimet%20data_ees.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-13",
      "references": [
        "https://doi.org/10.3390/geosciences10010005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for van Deemter Curves, Peak Characterizations, and Peak Capacity",
      "description": "Datasets provide van Deemter terms and curves for each capillary column, peak retention time and width from each UHPLC-MS gradient analysis, and peak capacity calculations from each gradient analysis. \n\nThis dataset is associated with the following publication:\nMiller, K., and J.W. Jorgenson. Comparison of microcapillary column length and inner diameter investigated with gradient analysis of lipids by ultrahigh‐pressure liquid chromatography‐mass spectrometry.   Journal of Separation Science. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim,  GERMANY, 43(22): 4094-4102, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518573",
      "keyword": [
        "Ultrahigh-pressure liquid chromatography",
        "mass spectrometry",
        "lipidomics",
        "peak capacity",
        "gradient elution"
      ],
      "contactPoint": {
        "fn": "Kelsey Miller",
        "hasEmail": "mailto:miller.kelsey@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasets for Comparison of columns by gradient analysis of lipids UHPLC MS .zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518573/Datasets%20for%20Comparison%20of%20columns%20by%20gradient%20analysis%20of%20lipids%20UHPLC%20MS%20.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-15",
      "references": [
        "https://pubmed.ncbi.nlm.nih.gov/32946185/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality data",
      "description": "The numerical data was used to produce plots in manuscript. \n\nThis dataset is associated with the following publication:\nLytle, D., M. Schock, C. Formal, C. Bennett-Stamper, S. Harmon, M. Nadagouda, D. Williams, M. DeSantis, J. Tully, and M. Pham. Lead Particles Size Fractionation and Identification in Newark, New Jersey's Drinking Water.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(21): 13672-13679, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1506091",
      "keyword": [
        "lead",
        "Pb",
        "colloidal particles",
        "Nanoparticles",
        "Orthophosphate",
        "filter"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "File for Scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506091/File%20for%20Scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-01",
      "references": [
        "https://doi.org/10.1021/acs.est.0c03285"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Community Water System and Contributing Area Characteristics",
      "description": "Operational, financial, and land use data to estimate drinking water treatment cost functions for 2006 calendar year.  Data are organized for surface water and groundwater systems. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: US EPA's Office of Water, Office of Science and Technology, Engineering and Analysis Division is the holder of the survey data.  US EPA's Office of Water maintains a database of point coordinates for surface water intakes and wells used for public water supply. Format: Our dataset is described in detail in Section 3 of the paper.  We include a link to the 2006 Community Water System Survey that excludes the identifiers.  Other data are confidential business information. \n\nThis dataset is associated with the following publication:\nPrice, J., and M. Heberling. The Effects of Agricultural and Urban Land Use on Drinking Water Treatment Costs: An Analysis of United States Community Water Systems.   Water Economics and Policy. World Scientific Publishing Co. Pte. Ltd., 5 Toh Tuck Link,  SINGAPORE, 6(4): 2050008, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518547",
      "keyword": [
        "source water protection",
        "land use/land cover change",
        "community water systems",
        "drinking water",
        "economic analysis",
        "treatment costs"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [],
      "modified": "2019-06-17",
      "references": [
        "https://doi.org/10.1142/s2382624x20500083"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data set for N-containing aromatic compounds emitted from burning wood and charcoal in household cookstoves",
      "description": "Composition and structural information of the nitrogen containing aromatic compounds emitted from cookstove combustion.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518658",
      "keyword": [
        "Combustion Emissions",
        "Black Carbon",
        "Brown Carbon",
        "Fine Particulate Matter",
        "Aerosol Optical Properties",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VERFPS",
          "accessURL": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VERFPS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BrC molecular markers from cookstove emissions Data Tables and Dictionary preReview.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518658/BrC%20molecular%20markers%20from%20cookstove%20emissions%20Data%20Tables%20and%20Dictionary%20preReview.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mangrove Wetland Carbon Cycling Data",
      "description": "Raw data for greenhouse gas measures and physical parameters from the mangrove soils and associated estuarine water. \n\nThis dataset is associated with the following publication:\nMartin, R., C. Wigand, A. Oczkowski, A. Hanson, S. Balogh, B. Branoff, E. Santos, and E. Huertas. Greenhouse Gas Fluxes of Mangrove Soils and Adjacent Coastal Waters in an Urban, Subtropical Estuary.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 40: 1469–1480, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500450",
      "keyword": [
        "greenhouse gas emissions",
        "mangrove",
        "Carbon Sequestration"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "water_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500450/water_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mangrovedata_2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500450/mangrovedata_2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-27",
      "references": [
        "https://doi.org/10.1007/s13157-020-01300-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sister Study / EnviroAtlas Community Sample",
      "description": "Sister Study is a prospective cohort of 50,884 U.S. women aged 35 to 74 years old conducted by the NIEHS. Eligible participants are women without a history of breast cancer but with at least one sister diagnosed with breast cancer at enrollment during 2003 - 2009. Datasets used in this research effort include health outcomes, lifestyle factors, socioeconomic factors, medication history, and built and natural environment factors. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact NIEHS Sister Study (https://sisterstudy.niehs.nih.gov/English/index1.htm) for data access. Format: Datasets are provided in SAS and/or CSV format.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520520",
      "keyword": [
        "EnviroAtlas",
        "Sister Study",
        "eco-health",
        "Urban greenery",
        "climate"
      ],
      "contactPoint": {
        "fn": "Wei-Lun Tsai",
        "hasEmail": "mailto:tsai.wei-lun@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data for Dispersion at the Edges of Near-Road Barriers",
      "description": "The data is from a wind tunnel study conducted to examine the dispersion of traffice-related emissions at the edges of near-road noise barriers. The data were collected in the EPA's meteorological wind tunnel using a hydrocarbon tracer to simulate emissions from a roadway. The data are presented as normalized concentration distributions (as described in the accompanying paper) for a number of different near road noise barrier configurations.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519248",
      "keyword": [
        "near-road",
        "dispersion modeling",
        "wind tunnel",
        "noise barriers"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "HeistDavid_A-vhjh_Data_20200818.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519248/HeistDavid_A-vhjh_Data_20200818.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
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      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519248/documents/Heist%20Data%20Dictionary%20for%20Data%20Set%20vhjh.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dry thermal treatment of soil contaminated with B. anthracis surrogate spores; study efficacy data from heat chamber and soil column tests",
      "description": "The data are from the oven tests and the soil column tests in seven MS Excel spreadsheets.  Included are the raw plate and ancillary data used to calculate the number for spores recovered from each soil sample, in colony forming units (CFU). \n\nThis dataset is associated with the following publication:\nWood, J., A. Touati, A. Abdel-Hady, D. Aslett, F. Delafield, W. Calfee, E. Silvestri, S. Serre, L. Mickelsen, C. Tomlinson, and A. Mikelonis. Decontamination of soil contaminated at the surface with Bacillus anthracis spores using dry thermal treatment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  10, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519087",
      "keyword": [
        "B. anthracis",
        "contaminated soil",
        "thermal treatment",
        "Decontamination"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Column test results GTS sand.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Column%20test%20results%20GTS%20sand.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Column test results MCL Clay HCB Loam.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Column%20test%20results%20MCL%20Clay%20HCB%20Loam.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oven test results 80 C Low RH with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Oven%20test%20results%2080%20C%20Low%20RH%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oven test results 80 C_RH 80%.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Oven%20test%20results%2080%20C_RH%2080%25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oven test results 90 C tests 1 and 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Oven%20test%20results%2090%20C%20tests%201%20and%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oven test results 110 C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Oven%20test%20results%20110%20C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary Results 80 C Low RH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519087/Summary%20Results%2080%20C%20Low%20RH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-21",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.111684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Water Quality Data",
      "description": "Water quality data. \n\nThis dataset is associated with the following publication:\nPapenfus, M., B. Schaeffer, A. Pollard, and K. Loftin. Exploring the potential value of satellite remote sensing to monitor chorophyll-a for U.S. lakes and reservoirs..   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 192: 808, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504229",
      "keyword": [
        "remote sensing",
        "water quality",
        "avoided costs",
        "Chlorophyll-a"
      ],
      "contactPoint": {
        "fn": "Michael Papenfus",
        "hasEmail": "mailto:papenfus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/nla",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/nla",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.waterqualitydata.us/",
          "accessURL": "https://www.waterqualitydata.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-data-download",
          "accessURL": "https://www.usgs.gov/core-science-systems/science-analytics-and-synthesis/gap/science/pad-us-data-download",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ers.usda.gov/data-products/county-level-data-sets",
          "accessURL": "https://www.ers.usda.gov/data-products/county-level-data-sets",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-21",
      "references": [
        "https://doi.org/10.1007/s10661-020-08631-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multiscale Landscape Integrity Approach to Stream Management Case Study Data Sets",
      "description": "An approach that relates biological condition of streams to landscape integrity data at the watershed, catchment and stream-reach scale in order to support stream management and decision-making. \n\nThis dataset is associated with the following publication:\nRiato, L., S. Leibowitz, and M. Weber. The use of multiscale stressors in biological condition assessments: a framework to advance the assessment and management of streams.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  139699, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517797",
      "keyword": [
        "Biological condition gradient",
        "BCG",
        "IBI",
        "catchment",
        "instream",
        "landscape integrity",
        "spatial scale",
        "multiscale analysis",
        "water quality",
        "Watershed",
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Multiscale Framework data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517797/Multiscale%20Framework%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-19",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139699"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Clouds Creek",
      "description": "Data contains information about bacterial concentrations in the water column in a mixed use watershed in Northeast GA. \n\nThis dataset is associated with the following publication:\nSowah, R., K. Bradshaw, B. Snyder, D. Spidle, and M. Molina. Evaluation of the soil and water assessment tool (SWAT) for simulating E. coli concentrations at the watershed-scale.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 746: 140669, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519154",
      "keyword": [
        "fecal bacteria",
        "SWAT",
        "watershed modeling",
        "allocation of fecal sources"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "Clouds Creek_SWAT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519154/Clouds%20Creek_SWAT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-19",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.140669"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS PBPK Template Model",
      "description": "The data set includes source code that implements a PBPK template model applicable to PFAS.  It includes data digitized from Kim et al. (2018), Kim et al. (2019), and Loccisano et al. (2012) used to show the capability of the template to replicate published PFAS PBPK models.  The template model is described in a paper that is in review at the journal Toxicological Sciences. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520081",
      "keyword": [
        "PBPK model",
        "Risk Assessment",
        "PFAS",
        "model template"
      ],
      "contactPoint": {
        "fn": "Paul Schlosser",
        "hasEmail": "mailto:schlosser.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Bernstein2021_PFAS_pbpk_template_model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520081/Bernstein2021_PFAS_pbpk_template_model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS_PBPK_Model_Template_Project_Instructions.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520081/PFAS_PBPK_Model_Template_Project_Instructions.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Results from Non-Targeted Analysis of Aqueous Film Forming Foams ",
      "description": "Screening library of detectable PFAS ions, results from identified PFAS from suspect screening of AFFF materials on the market. This dataset is not publicly accessible because: Data Property of Texas A&M University. It can be accessed through the following means: Contact Ivan Rusyn <irusyn@cvm.tamu.edu>. Format: Excel. \n\nThis dataset is associated with the following publication:\nLuo, Y., N.A. Aly, J. McCord, M. Strynar, W.A. Chiu, J.N. Dodds, E.S. Baker, and I. Rusyn. Rapid Characterization of Emerging Per- and Polyfluoroalkyl Substances in Aqueous Film-Forming Foams Using Ion Mobility Spectrometry–Mass Spectrometry.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(23): 15024–15034, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519176",
      "keyword": [
        "AFF",
        "PFAS",
        "Ion Mobility Mass Spectrometry",
        "high resolution mass spectrometry",
        "Non Targeted Analysis"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-26",
      "references": [
        "https://doi.org/10.1021/acs.est.0c04798"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Online SPE Supporting Information",
      "description": "Supporting information for manuscript, including chromatograms, peak areas, and standard recovery data to support PFAS manuscript. \n\nThis dataset is associated with the following publication:\nSanan, T., and M. Magnuson. Analysis of per- and polyfluorinated alkyl substances (PFAS) of sub-sampled water matrices with online solid phase extraction/isotope dilution tandem mass spectrometry.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1626: 461324, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503678",
      "keyword": [
        "Polyfluorinated Alkyl Substances (PFAS)",
        "Solid phase extraction",
        "analytical method",
        "isotopic dilution",
        "LC-MS/MS"
      ],
      "contactPoint": {
        "fn": "Toby Sanan",
        "hasEmail": "mailto:sanan.toby@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS Manuscript Supporting Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503678/PFAS%20Manuscript%20Supporting%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-21",
      "references": [
        "https://doi.org/10.1016/j.chroma.2020.461324"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Regression Test Data",
      "description": "This dataset is based on the unit and regression testing available on https://github.com/USEPA/Stormwater-Management-Model/actions",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519333",
      "keyword": [
        "Metamorphic testing",
        "metamorphic relations",
        "user validation",
        "association rules",
        "SWMM"
      ],
      "contactPoint": {
        "fn": "Michelle Simon",
        "hasEmail": "mailto:simon.michelle@epa.gov"
      },
      "distribution": [
        {
          "title": "test study on swmm(data table).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519333/test%20study%20on%20swmm%28data%20table%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mappings_of_SWMM_unit_tests.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519333/Mappings_of_SWMM_unit_tests.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "regression test data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519333/regression%20test%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519333/documents/test%20study%20on%20swmm%28data%20table%29.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Table 3 LCF Results and Figure S2 LCF data",
      "description": "Table 3 shows the distribution of lead speciation results for soil samples along with fitting error (R factor)\nData for Figure S2 contains the sample spectra and linear combination fitting (LCF) data used to determine results in Table 3. \n\nThis dataset is associated with the following publication:\nKastury, F., R.R. Karna, K.G. Scheckel, and A.L. Juhasz. Correlation between lead speciation and inhalation bioaccessibility using two different simulated lung fluids.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 263 part B: 114609, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520448",
      "keyword": [
        "synchrotron speciation",
        "metal bioavailability",
        "lead contaminated soil",
        "inhalation exposure"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520448/Table%203.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S2 data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520448/Figure%20S2%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-13",
      "references": [
        "https://doi.org/10.1016/j.envpol.2020.114609"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures and Tables Data",
      "description": "The dataset provides data used to prepare all figures and tables within the manuscript. \n\nThis dataset is associated with the following publication:\nNoerpel, M., M. Pribil, D. Rutherford, P. Law, K. Bradham, C. Nelson, R. Weber, G. Gunn, and K. Scheckel. Lead speciation, bioaccessibility and source attribution in Missouri's Big River watershed.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 123: 104757, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520583",
      "keyword": [
        "lead contaminated soil",
        "synchrotron speciation",
        "Source Attribution",
        "lead isotopes",
        "metal bioavailability"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Big River Data -- ORD-034861.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520583/Big%20River%20Data%20--%20ORD-034861.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-03",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2020.104757"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Determining the utility of regression-based CO:NOx ratios for emissions validation in a near-road environment",
      "description": "Datasets used in the analysis presented in the manuscript “Determining the utility of regression-based CO:NOx ratios for emissions validation in a near-road environment”.  The datasets include hourly CO and NOx emissions estimated by the MOVES model (CONOx_MOVES.xlsx) and 5 minute NO, NO2, NOx and CO observations from the Las Vegas near-road field study described in the paper (LV_5min_S1S2S3S4.xlsx). Each file is an excel spread sheet (.xlsx) and metadata on the variables within the files is provided under the Readme tab of each spreadsheet. \n\nThis dataset is associated with the following publication:\nSimon, H., B. Henderson, R. Owen, K. Foley, M. Snyder, and E. Kimbrough. Variability in observation-based onroad emission constraints from a near-road environment.   ATMOSPHERE. MDPI AG, Basel,  SWITZERLAND, 11(11): 1243, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504121",
      "keyword": [
        "emissions",
        "CMAQ",
        "Wildland Fire",
        "biomass burning",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "CONOx_MOVES.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504121/CONOx_MOVES.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LV_5min_S1S2S3S4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504121/LV_5min_S1S2S3S4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-05",
      "references": [
        "https://doi.org/10.3390/atmos11111243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Catchments and Variables Used for Random Forest Classification and Regression Groundwater and Surface Water Models for Nitrate Violation classes, Violation concentrations, or Percent of Systems in Violation for Public Drinking Water Supplies",
      "description": "* This research used public drinking water nitrate violations data from across the conterminous United States as response variables, and various predictor variables from EPA's StreamCat dataset and other various land use, climate, and N input datasources.  \n* All predictor and response variables were summarized for each catchment. \n* Response variables were either a binary variable (in violation or not or a 1 or 0), mean violation concentration (mg/L) per catchment, or percent of public water systems in violation per catchment. \n\nThis dataset is associated with the following publication:\nPennino, M., S. Leibowitz, J. Compton, R. Hill, and R. Sabo. Patterns and predictions of drinking water nitrate violations across the conterminous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 722: 137661, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503834",
      "keyword": [
        "nitrate",
        "drinking water",
        "random forest",
        "machine learning",
        "contiguous United States",
        "groundwater",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Michael Pennino",
        "hasEmail": "mailto:pennino.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "RF_Catchments_Conc_All_Variables_SW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Conc_All_Variables_SW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RF_Catchments_Conc_All_Variables_GW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Conc_All_Variables_GW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RF_Catchments_Viol_Freq_All_Variables_SW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Freq_All_Variables_SW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RF_Catchments_Viol_Perc_All_Variables_SW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Perc_All_Variables_SW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RF_Catchments_Viol_Perc_All_Variables_GW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Perc_All_Variables_GW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RF_Catchments_Viol_Freq_All_Variables_GW.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RF_Catchments_Viol_Freq_All_Variables_GW.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_Pennino_NO3_Model_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/Metadata_Pennino_NO3_Model_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RFR_SW_Predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RFR_SW_Predictions.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RFC_GW_Predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RFC_GW_Predictions.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Observed_Violations.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/Observed_Violations.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RFC_SW_Predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RFC_SW_Predictions.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RFR_GW_Predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/RFR_GW_Predictions.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.137661"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503834/documents/Data_Dictionary_Pennino_NO3_Model_2019.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Cross Basin Isoscapes",
      "description": "Water stable isotope data (hydrogen and oxygen isotopes of H2O) for 5 river basins in Washington state and Alaska.  The samples were collected in 2017 during summer baseflow season.  Collection sites were distributed across each basin to represent the range of possible isotope values within the basin, but sample sites were easily accessible. \n\nThis dataset is associated with the following publication:\nMcGill, L., E.A. Steel, J.R. Brooks, R.T. Edwards, and A. Fullerton. Elevation and spatial structure explain most surface-water isotopic variation across five Pacific Coast basins.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 583: 124610, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503897",
      "keyword": [
        "water resources",
        "river flow",
        "stable isotopes",
        "water supply",
        "geology",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_CrossBasin_Samples.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503897/EPA_CrossBasin_Samples.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-20",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2020.124610"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial Source Tracking Marker Concentrations in the Chattahoochee River National Recreation Area Watershed in 2015-2017, Georgia, USA",
      "description": "The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16. This dataset is not publicly accessible because: Data is the property of USGS. It can be accessed through the following means: Contact Anna McKee, corresponding author, at USGS. Format: The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16. \n\nThis dataset is associated with the following publication:\nMcKee, A., M. Molina, M. Cyterski, and A. Couch. Microbial source tracking (MST) in Chattahoochee River National Recreation Area: Seasonal and precipitation trends in MST marker concentrations, and associations with E. coli levels, pathogenic marker presence, and land use.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 171: 115435, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518922",
      "keyword": [
        "microbial metabolism",
        "fecal indicator bacteria",
        "Hydrogen Peroxide",
        "E. coli"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-30",
      "references": [
        "https://doi.org/10.1016/j.watres.2019.115435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Grab vs Composite metadata",
      "description": "Data described concentrations of human adenovirus, crAssphage and Pepper Mild Mottle virus in 1 hour composite wastewater samples and 24 h composite wastewater samples. This dataset is not publicly accessible because: Data is the property of CSIRO. It can be accessed through the following means: Contact Warish Ahmed, Warish.Ahmed@csiro.au. Format: Data is in excel format. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Bivins, P.M. Bertsch, K. Bibby, P. Gyawali, S.P. Sherchan, S.L. Simpson, K.V. Thomas, R. Verhagen, M. Kitajima, J.F. Mueller, and A. Korajkic. Intraday variability of indicator and pathogenic viruses in 1-h and 24-h composite wastewater samples: Implications for wastewater-based epidemiology.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 193: 110531, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520144",
      "keyword": [
        "adenovirus",
        "SARS-CoV-2",
        "CrAssphage",
        "Pepper Mild Mottle Virus"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2020-10-12",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.110531"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mass Spectrometry Abundances and Estimated Concentrations for Emerging Chlorinated Polyfluorinated Polyether Compounds Impacting the Waters of Southwestern New Jersey",
      "description": "All detected feature abundances from NTA pre-screen on TOF and merged in-depth Orbitrap data collection from 2017 water set, as well as Orbitrap raw abundances and estimated concentrations from ClPFPECA compounds from 2019 POET samples. \n\nThis dataset is associated with the following publication:\nMcCord, J., M. Strynar, J. Washington, E.L. Bergman, and S.M. Goodrow. Emerging Chlorinated Polyfluorinated Polyether Compounds Impacting the Waters of Southwestern New Jersey Identified by Use of Nontargeted Analysis.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 7(12): 903-908, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519034",
      "keyword": [
        "CIPFPECA",
        "New Jersey",
        "PFAS",
        "mass spectrometry",
        "surface water",
        "non-targeted analysis"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [
        {
          "title": "NJClPFECA - SciHub Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519034/NJClPFECA%20-%20SciHub%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-22",
      "references": [
        "https://doi.org/10.1021/acs.estlett.0c00640"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Monitoring the infiltration rate of tree boxes",
      "description": "Tree boxes primarily reduce runoff volume through infiltration. The current study determines infiltration rates in six tree boxes and analyzes the effects of season, age of the tree box, and depth on infiltration.  Our study site is in Louisville, KY, where Louisville and Jefferson County Metropolitan Sewer District (MSD) teamed with U.S. EPA’s Office of Research and Development, URS Corporation, and the Center for Infrastructure Research at the University of Louisville (U of L) to monitor the performance of six tree boxes and other stormwater control measures (SCMs) and to evaluate the effectiveness of groups of controls.  Each tree box is 1.5 m wide, 1.5 m long, and 1.8 m deep.  Street and parking lot runoff enters each tree box though a curb cut. Time domain reflectometers (TDRs) were embedded in the tree box media to continuously monitor volumetric soil moisture content and other parameters. TDRs were installed at 0.30 m (designated as TDR2), 0.60 m (designated as TDR3), and 1.50 m (designated as TDR4) below the soil surface of the tree box media. The moisture content recorded by the TDRs was used to calculate infiltration rates through the media using the Green-Ampt equation. Infiltration rates through the 0.30 m soil section between TDR2 and TDR3 (termed as upper section), through the 0.90 m soil section between TDR3 and TDR4 (termed as bottom section), and the infiltration rate through 1.20 m soil section between TDR2 and TDR4 (termed as combined section) were calculated. For each rain event, two infiltration rates were calculated.  The first determined the initial infiltration rate based on infiltrating water and the second calculated the saturated infiltration rate based on draining water. Initial and saturated infiltration rates varied among all six tree boxes. For four of the six tree boxes, the initial infiltration rate did not vary with depth. However, the saturated infiltration rate varied with depth for five of the six tree boxes.  Overall, the saturated infiltration rate of the combined section is 1.7 times larger than the upper section. Studies from other researchers reported 8 and 100 times variation of surface infiltration rate within 2 m and 5 m spatial distance respectively, 1.7 times variation between upper and combined sections should be considered a non-meaningful difference. In the second year, the initial infiltration rate and saturated infiltration rate decreased by 20% and 38% respectively, from the first year. The infiltration rate varies with seasons. In the growing season, it is 80% larger than in the non-growing season. The smallest infiltration rates were observed during winter and largest infiltration rates were observed in summer. This paper highlights the continuous two years’ soil moisture monitoring results used to characterize the seasonal, age and depth effect on infiltration rate of six tree boxes. \n\nThis dataset is associated with the following publication:\nAhmed, F., and M. Borst. Monitoring the infiltration rate of tree boxes.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 91(12): 1638-1649, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1397233",
      "keyword": [
        "wetting front",
        "soil moisture"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1397233/Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-06-14",
      "references": [
        "https://doi.org/10.1002/wer.1165"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Methane and carbon dioxide emission rates from reservoirs in Ohio, Kentucky, and Indiana",
      "description": "This dataset contains methane and carbon dioxide emission rates measured in 32 reservoirs distributed across Ohio, Kentucky, and Indiana.  Ancillary environmental data including reservoir morphology, watershed characteristics, and water chemistry are also included. \n\nThis dataset is associated with the following publication:\nBeaulieu, J., S. Waldo, D. Balz, W. Barnett, A. Hall, M. Platz, and K. White. Methane and carbon dioxide emissions from reservoirs: Controls and Upscaling.   Journal of Geophysical Research - Biogeosciences. American Geophysical Union, Washington, DC, USA, 125(12): e2019JG005474, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504101",
      "keyword": [
        "chlorophyll a",
        "dissolved gas",
        "reservoir",
        "Methane",
        "carbon dioxide",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/s/7575d1aa4e6051df756b",
          "accessURL": "https://figshare.com/s/7575d1aa4e6051df756b",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://figshare.com/s/31926156c5755f777976",
          "accessURL": "https://figshare.com/s/31926156c5755f777976",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-15",
      "references": [
        "https://doi.org/10.1029/2019jg005474"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for manuscript \"Incorporating upstream emissions into electric sector nitrogen oxide reduction targets\"",
      "description": "This dataset provides the values used to develop the figures within the manuscript \"Incorporating upstream emissions into electric sector nitrogen oxide reduction targets\". \n\nHere is the abstract from that manuscript: Electricity production is a major source of air pollutants in the U.S. Policies to reduce these emissions can result in the power industry choosing to apply controls or switch to fuels with lower combustion emissions. However, the life cycle emissions associated with various fuels can differ considerably, potentially impacting the effectiveness of fuel switching. Life cycle emissions, which include emissions from extracting, processing, transporting, and distributing fuels, as well as manufacturing and constructing new generating capacity, have received less consideration in policy-making. Life cycle analysis allows quantification of these emissions such that they can be considered in decision-making. We examine a hypothetical electric sector emission reduction target for nitrogen oxides using the Global Change Assessment Model with U.S. state-level resolution. When only power plant emissions are considered in setting an emission reduction target, fuel switching leads to an increase in upstream emissions that offsets a portion of the targeted reductions. When fuel extraction, processing, and transport emissions are included under the reduction target, the resulting control strategy meets the required reductions and does so at lower cost. However, manufacturing and construction emissions increase, indicating that it may be beneficial to consider these sources as well. In the real world, life cycle-based approaches could be implemented by allowing industry to earn reduction credits by reducing upstream emissions. We discuss some of the limitations of such an approach, including the difficulty in identifying the location of upstream emissions, which may occur across regulatory authorities or even outside of the U.S. \n\nThis dataset is associated with the following publication:\nBabaee, S., D. Loughlin, and O. Kaplan. Incorporating upstream emissions into electric sector nitrogen oxide reduction targets.   Cleaner Engineering and Technology. Elsevier B.V., Amsterdam,  NETHERLANDS, 1: 100017, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1506132",
      "keyword": [
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset-Babaee_et_al.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506132/Dataset-Babaee_et_al.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-10",
      "references": [
        "https://doi.org/10.1016/j.clet.2020.100017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for LMDI Analysis",
      "description": "this data file presents the underlying raw data to generate figures in the manuscript. \n\nThis dataset is associated with the following publication:\nIsik, M., and O. Kaplan. Understanding Technology, Fuel, Market and Policy Drivers for New York State's Power Sector Transformation.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 13(1): 265, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518690",
      "keyword": [
        "LMDI",
        "power sector",
        "state-level emissions",
        "Community Decision-Making",
        "energy modeling",
        "Energy systems modeling",
        "MARKAL",
        "energy-water nexus",
        "greenhouse gas emissions",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "LMDI_Combined.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518690/LMDI_Combined.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-15",
      "references": [
        "https://doi.org/10.3390/su13010265"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global hunger and climate change adaptation through international trade - data file links",
      "description": "All the data used to generate estimates and figures are included on the publication's website, organized by graphic. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520634",
      "keyword": [
        ": Agriculture",
        "food security",
        "greenhouse gases",
        "global change",
        "trade"
      ],
      "contactPoint": {
        "fn": "Sara Bushey Ohrel",
        "hasEmail": "mailto:ohrel.sara@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nature.com/articles/s41558-020-0847-4#MOESM1",
          "accessURL": "https://www.nature.com/articles/s41558-020-0847-4#MOESM1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-03-27",
      "references": [
        "https://dx.doi.org/10.1038/s41558-020-0847-4"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TOC data_all samples_v1.0_2018_04_21",
      "description": "Detailed water quality data through a treatment train before, during and after a storm perturbation in source water. \n\nThis dataset is associated with the following publication:\nNeil, C., Y. Zhao, A. Zhao, J. Neal, M. Meyer, and J. Yang. Trihalomethane precursor reactivity changes in drinking water treatment unit processes during a storm event.   Water Science and Technology:  Water Supply. IWA Publishing, London,  UK, 19(7): 2098–2106, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1435153",
      "keyword": [
        "disinfection byproducts",
        "chlorination",
        "water treatment",
        "trihalomethanes",
        "turbidity",
        "Climate variability"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "2017-02-17_TOC data_all samples.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435153/2017-02-17_TOC%20data_all%20samples.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2016-04-41_Zeta potential compiled.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435153/2016-04-41_Zeta%20potential%20compiled.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "compiled THM data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435153/compiled%20THM%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UV scan results_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435153/UV%20scan%20results_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-30",
      "references": [
        "https://doi.org/10.2166/ws.2019.089"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity",
      "description": "Acute rat oral toxicity lethality data files, processed prediction files from 2 expert systems. \n\nThis dataset is associated with the following publication:\nNelms, M., A. Karmaus, and G. Patlewicz. An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 16(November 2020): 100135, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519347",
      "keyword": [
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-acutetox",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-acutetox",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-11-30",
      "references": [
        "https://doi.org/10.1016/j.comtox.2020.100135"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Temperature, ozone, and PM2.5 data for \"Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health\" by Fann et al., 2021.",
      "description": "This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets. \n\nThis dataset is associated with the following publication:\nFann, N., C. Nolte, M. Sarofim, J. Martinich, and N. Nassikas. Associations Between Simulated Future Changes in Climate, Air Quality, and Human Health.   JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION. JAMA, Meudon,  FRANCE, 4(1): e2032064, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518467",
      "keyword": [
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "grid.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/grid.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cm3_t2mean_pm.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/cm3_t2mean_pm.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cm3_t2max_o3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/cm3_t2max_o3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cesm_t2mean_pm.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/cesm_t2mean_pm.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cesm_t2max_o3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518467/cesm_t2max_o3.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-16",
      "references": [
        "https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774529?widget=personalizedcontent&previousarticle="
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Framework for Modeling Lead in Premise Plumbing Systems using EPANET",
      "description": "This dataset contains information related to sampling efforts from which model parameters were developed. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., H. Woo, J. Mason, F. Shang, S. Triantafyllidou, M. Schock, D. Lytle, and R. Murray. Framework for Modeling Lead in Premise Plumbing Systems Using EPANET.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 146(12): 04020094, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504083",
      "keyword": [
        "EPANET",
        "Advection dispersion",
        "copper and lead ions",
        "Premise Plumbing",
        "lead",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Burkhardt_A-cz9c_Framework-for-modeling-lead-in-PPS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504083/Burkhardt_A-cz9c_Framework-for-modeling-lead-in-PPS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-12",
      "references": [
        "https://doi.org/10.1061/(asce)wr.1943-5452.0001304"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "nano Cu microRNA DEG list ",
      "description": "data sets included in this study:\n\nDifferential Expressed gene lists for nano Cu CuCl2 treated HepG2 cells through RNA sequencing.\nDifferential Expressed microRNA lists for nano Cu and CuCl2 treated HepG2 cells through small RNA sequencing.\nSequencing data was quantified using Partek annotation and the STAR-2.5.3a aligner, aligned to human genome hg19.  Normalization and contrast were performed using DESeq2.  MicroRNA expression was quantified with mirDeep2.  Benjamini-Hochberg method for multi-testing correcton was included in DESeq2. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518402",
      "keyword": [
        "nano Cu",
        "transcriptomics",
        "microRNA expression",
        "HepG2 cells",
        "signaling pathways",
        "microRNA target filter analysis"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "nano Cu miRNA lists.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/nano%20Cu%20miRNA%20lists.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CuCl2 miRNA lists.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/CuCl2%20miRNA%20lists.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_Cu_1_25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_Cu_1_25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_Cu_2_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_Cu_2_5.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_Cu_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_Cu_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_Cu_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_Cu_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_CuCl2_0_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_CuCl2_0_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_CuCl2_0_25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_CuCl2_0_25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_CuCl2_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_CuCl2_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_CuCl2_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518402/DEG-0.05-result_CuCl2_3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Isotope ratio mass spectrometry (IRMS) and spectroscopic techniques for microplastic characterization",
      "description": "The IRMS data set contains average d13c value comparisons of various polymer types. FTIR and micro-Raman spectroscopy data is also included that characterizes all collected samples. \n\nThis dataset is associated with the following publication:\nBirch, Q.T., P.M. Potter, P.X. Pinto, D.D. Dionysiou, and S.R. Al-Abed. Isotope ratio mass spectrometry and spectroscopic techniques for microplastics characterization.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 224: 121743, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518656",
      "keyword": [
        "nanoplastics",
        "microplastics",
        "IRMS",
        "plastic waste",
        "polymer degradation"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "raw data - MPmethods.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518656/raw%20data%20-%20MPmethods.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-27",
      "references": [
        "https://doi.org/10.1016/j.talanta.2020.121743"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518656/documents/data%20dictionary.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Fragmentation of polymer nanocomposites",
      "description": "Data base includes SEM and digital photo images of aged nanomaterials, FTIR and UV-Vis spectroscopy data, contact angle of water on aged surfaces. \n\nThis dataset is associated with the following publication:\nZepp, R., E. Ruggiero, B. Acrey, M.J.B. Davis, C. Han, H. Hsieh, K. Vilsmeier, W. Wohlleben, and E. Sahle-Demessie. Fragmentation of polymer nanocomposites: modulation by dry and wet weathering, fractionation, and nanomaterial filler.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 7: 1742-1758, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1506124",
      "keyword": [
        "Nanoenabled materials",
        "nanoreleased",
        "wet-dry aging tests",
        "accelerate tests"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "2020_01_30_Fragmentation_and_ENM_release_SI_FINAL_3_16_20 Zepp_ESD.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506124/2020_01_30_Fragmentation_and_ENM_release_SI_FINAL_3_16_20%20Zepp_ESD.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ENMepoxy-Manuscript_Final_Version_.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506124/ENMepoxy-Manuscript_Final_Version_.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-01",
      "references": [
        "https://doi.org/10.1039/c9en01360a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506124/documents/ScientificDataManagment_Fragmentation%20of%20polymercomposite_ESNANO_2019.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "EPA-Generated_Data_for_Banerji_et_al._Ecological_Role_of_MC",
      "description": "Data used to generate Figures 2, 3, and 4 as we ll as Table 3. \n\nThis dataset is associated with the following publication:\nBanerji, A., M. Bagley, J. Shoemaker, D. Tettenhorst, C. Nietch, J. Allen, and J. Santodomingo. Evaluating putative ecological drivers of microcystin spatiotemporal dynamics using metabarcoding and environmental data.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 86: 84-95, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503061",
      "keyword": [
        "cyanobacteria",
        "16S rRNA",
        "18S rRNA gene"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA-Generated_Data_for_Banerji_et_al._Ecological_Role_of_MC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503061/EPA-Generated_Data_for_Banerji_et_al._Ecological_Role_of_MC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-15",
      "references": [
        "https://doi.org/10.1016/j.hal.2019.05.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Structural alerts for protein binding",
      "description": "The JRC dataset (doi: 10.1016/j.tiv.2016.07.014) includes reported outcomes in chemico, in vitro and in vivo tests for skin sensitisation.  The Tox21 dataset was downloaded from the EPA CompTox Chemicals Dashboard (available at: https://comptox.epa.gov/dashboard/chemical_lists/TOX21SL) and was filtered to retain substances that were discrete organics with normalized structures, i.e. only substances that had an associated QSAR-ready SMILES record. \n\nThis dataset is associated with the following publication:\nNelms, M., R. Lougee, D. Roberts, A. Richard, and G. Patlewicz. Comparing and contrasting the coverage of publicly available structural alerts for protein binding.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 12: 100100, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503855",
      "keyword": [
        "structural alerts",
        "protein binding",
        "reaction mechanistic domains",
        "ToxPrint enrichments",
        "Tox21",
        "ToxCast",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/CompTox-Protein_binding_alerts-comptoxicol/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/PatlewiczGrace/CompTox-Protein_binding_alerts-comptoxicol/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-03",
      "references": [
        "https://doi.org/10.1016/j.comtox.2019.100100"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of an In Vitro Human Thyroid Microtissue Model for Chemical Screening",
      "description": "The objective of this study was to develop a medium-throughput organotypic screening assay comprised of reconstructed human thyroid microtissues to quantitatively evaluate the disruptive effects of chemicals on TH production and secretion. Primary human thyroid cells procured from qualified euthyroid donors were analyzed for retention of NK2 homeobox 1 (NKX2-1), Keratin 7 (KRT7), and Thyroglobulin (TG) expression by high-content image analysis to verify enrichment of follicular epithelial cells. A direct comparison of two-dimensional (2D) and three-dimensional (3D) 96-well culture formats\nwas employed to characterize the morphology, differential gene expression, TG production, and TH synthesis over the course of 20 days. \n\nThis dataset is associated with the following publication:\nDeisenroth, C., V. Soldatow, J. Ford, W. Stewart, C. Brinkman, E. LeCluyse, D. Macmillan, and R. Thomas. Development of an In Vitro Human Thyroid Microtissue Model for Chemical Screening (ToxSci).   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  174(1): 63-78, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504187",
      "keyword": [
        "thyroid",
        "organotypic culture model",
        "thyroid disrupting chemicals",
        "endocrine toxicology",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables_All_Deisenroth_TOCM Method_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504187/Tables_All_Deisenroth_TOCM%20Method_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures_All_Deisenroth_TOCM Method_Final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504187/Figures_All_Deisenroth_TOCM%20Method_Final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz238"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Resoure Recovery from E-waste",
      "description": "Sustainable management of electronic waste is critical to achieving a circular-economy and minimizing environment and public health risks. The objective of this study was to investigate the use of pyrolysis as a possible technique to recover valuable materials and energy from different components of e-waste as an alternative approach for limiting their disposal to landfills. The study includes investigating the potential impact of thermal processing of e-waste.Thermogravimetric (TG) analysis and differential thermogravimetric analysis (DTG) of e-waste components were used to better understand the mass loss characteristics of the pyrolysis process up to 700 oC. The changes in e-waste chemical components during pyrolysis were considered using Fourier-transform infrared (FTIR) spectrometry and X-ray fluorescence (XRF) techniques. The energy recovery from pyrolysis was made in a horizontal tube furnace under anoxic and isothermal condition of selected temperatures of 300, 400 and 500 oC. Critical and valuable metals were recovered from electronic components. Pyrolysis produced liquid and gas mixtures organic compounds that can be used as fuels, but the process also emitted particulate matter and semi-volatile organic products, and the remaining ash contained leachable pollutants.  Furthermore, toxicity leaching characteristic profile of e-waste and partly oxidized products were conducted to measure the levels of pollutants leached before and after pyrolysis at selected temperatures. The results of this study contribute to the development of alternative approaches to practical recycling that could especially help reduce plastic pollution and recover materials of value from e-waste. Additionally, this information may be used to assess the risk of exposure of workers to emissions semi-formal recycling centers. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., B. Mezgebe, J. Dietrich, Y. Shan, S. Harmon, and C.C. Lee. Material recovery from electronic waste using pyrolysis: Emissions measurements and risk assessment.   Journal of Environmental Chemical Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 9(1): 104943, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1506125",
      "keyword": [
        "Electronics waste",
        "pyrolysis",
        "metal recovery",
        "electronic plastics",
        "environmental pollution",
        "heavy metals",
        "organic pollutants",
        "TCLP."
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "DataDictionary_Pyrolysis_2019.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506125/DataDictionary_Pyrolysis_2019.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-01",
      "references": [
        "https://doi.org/10.1016/j.jece.2020.104943"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1506125/documents/DataDictionary_Pyrolysis_2019.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Algal softening followed by ozonation: the fate of persistent micropollutants and natural organic matter in groundwater",
      "description": "1. Physocochemical parameters: optical density (OD680), pH, hardness, alkalinity, DOC, AOC, UV254, SUVA, excitation-emission-matrix (EEM) fluorescence spectra, CBZ and DCF during the algal treatment \n\n2. Microscopy: Energy-dispersive X-ray (EDX) spectra and field emission scanning electron microscopy (FE-SEM) images of bio-solids. This dataset is not publicly accessible because: All the data were generated by Korea University in South Korea. There is no EPA generated data. It can be accessed through the following means: Contact Dr. Hyunchul Kim in Korea University in South Korea to request all the data used for the manuscript. Here is his contact information. Phone: +82 10 73731517 Email: animaplus@hanmail.net. Format: Not available. \n\nThis dataset is associated with the following publication:\nKim, H., T. Timmes, H. Ryu, H.S. Yang, H. Yoon, and S. Kim. Algal softening followed by ozonation: the fate of persistent micropollutants and natural organic matter in groundwater.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 402: 123480, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518600",
      "keyword": [
        "microalgae",
        "alkalization",
        "Biodegradation",
        "carbamazepine",
        "diclofenac"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-07",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2020.123480"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nelms_Evaluating potential refinements to existing Thresholds of Toxicological Concern (TTC) values for environmentally-relevant compounds",
      "description": "The Toxic Substances Control Act (TSCA) mandates the US EPA perform risk-based prioritisation of chemicals in commerce and then, for high-priority substances, develop risk evaluations that integrate toxicity data with exposure information. One approach being considered for chemicals with limited chemical-specific toxicity data is a Threshold of Toxicological Concern (TTC)-to-Exposure ratio.  Here, TTC values derived using oral (sub)chronic No Observable (Adverse) Effect Level (NO(A)EL) data from the EPA’s Toxicity Values database (ToxValDB) were compared with published TTC values from Munro et al. (1996). 4554 chemicals with structures present in ToxValDB were assigned into their respective TTC categories using the Toxtree software tool.  Chemicals were assigned into the five TTC classes (Cramer structural class I, II, III, containing alerts for genotoxicity and acetylcholinesterase inhibitors). 114 (2.5%) chemicals were determined to be not appropriate for TTC. The TTC values derived from the ToxValDB were similar, but not identical to the Munro TTC values: Cramer I (37.3 compared to 30 ug/kg-day), Cramer II (34.6 compared to 9 ug/kg-day) and Cramer III (3.9 compared to 1.5 ug/kg-day). The 5th percentile values of Cramer classes I and II for the ToxValDB and Munro datasets were not statistically different whereas the class III 5th percentile values were different. Chemical features of the two class III datasets were evaluated to account for the differences in TTC values. The revised Kroes workflow was then applied to a large set of chemicals (~45,000). TTC values derived from this expanded dataset of toxicity values substantiated the original TTC values derived by Munro et al. (1996), reaffirming the utility of TTC as a promising tool in a risk-based prioritisation approach. \n\nThis dataset is associated with the following publication:\nNelms, M., P. Pradeep, and G. Patlewicz. Evaluating potential refinements to existing Thresholds of Toxicological Concern (TTC) values for environmentally-relevant compounds.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 109: 104505, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504178",
      "keyword": [
        "High throughput exposure (HTE)",
        "risk based prioritisation",
        "toxicity values database",
        "ToxValDB",
        "Toxtree",
        "Threshold of Toxicological Concern (TTC)",
        "Cramer classes",
        "DSSTox"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-TTC_evaluation_refinements-regtoxpharm/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-TTC_evaluation_refinements-regtoxpharm/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-15",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.104505"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals ",
      "description": "This is a new, open, and transparent database of toxicokinetic data supporting EPA decision making. The database has already become the basis of research efforts within EPA to improve HTTK modeling using generic TK models and has facilitated the creation and validation of models for new exposure routes. Publishing the database supports open, transparent science and this database (the largest public database for this domain) will spur improvement and development of TK models by external experts in the field. Future efforts to improving the accessibility of this database (with a graphical user interface) and encouraging crowdsourcing to expand the size and scope of the database will lead to larger validation sets for our modeling efforts and likely lower uncertainties when estimating TK. \n\nThis dataset is associated with the following publication:\nSayre, R., J. Wambaugh, and C. Grulke. Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals.   Scientific Data. Springer Nature Group, New York, NY,  7: 122, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504532",
      "keyword": [
        "databases",
        "environmental sciences",
        "pharmacokinetics",
        "time series",
        "toxicology",
        "ExpoCast",
        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Sayre_Risa/Pharmacokinetic_time-series_database/CvT_db.zip",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Sayre_Risa/Pharmacokinetic_time-series_database/CvT_db.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-PK-CvTdb",
          "accessURL": "https://github.com/USEPA/CompTox-PK-CvTdb",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-19",
      "references": [
        "https://doi.org/10.1038/s41597-020-0455-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "K_Saili_Molecular characterization of a toxicological tipping point during human stem cell differentiation",
      "description": "We differentiated human induced pluripotent stem cells (hiPSCs) to embryonic endoderm and sought to identify a tipping point at which the developing system did not recover from perturbations caused by exposure to a known teratogen, all-trans retinoic acid (ATRA). Differentiating iPSC-derived endoderm was exposed to five concentrations of ATRA between 0.001 and 10 µM at 6h, 96h, or 192h and assessed for forkhead box A2 (FOXA2) protein expression and global gene transcript expression measured by RNA-sequencing. A tipping point of 17±11 nM was identified where patterns of differentially expressed genes supported a shift in the developmental trajectory away from embryonic endoderm in favor of mesoderm and extraembryonic endoderm.\nFive concentrations of all-trans retinoic acid (ATRA) between 0.001 and 10 µM were compared to time-matched 0.1% DMSO controls at three timepoints (6h, 96h, and 192h) in differentiating endoderm. Two biological replicates were used. Undifferentiated controls (not in DMSO) were also included in duplicate as internal controls for 6h, 96h, and 144h. \n\nThis dataset is associated with the following publication:\nSaili, K., T. Antonijevic, T. Zurlinden, I. Shah, C. Deisenroth, and T. Knudsen. Molecular characterization of a toxicological tipping point during human stem cell differentiation.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 91(January 2020): 1-13, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503835",
      "keyword": [
        "endoderm",
        "all-trans retinoic acid",
        "differentiation",
        "hiPSC",
        "SOX17",
        "EOMES",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131921",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE131921",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-30",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2019.10.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Waterborne Disease Outbreak Data Set",
      "description": "CDC data on waterborne disease outbreak response. This dataset is not publicly accessible because: Data is property of CDC. It can be accessed through the following means: Contact corresponding author (Mia Mattioli, CDC). Format: CDC waterborne disease outbreak response data. \n\nThis dataset is associated with the following publication:\nMattioli, M.C., K.M. Benedict, J. Murphy, A. Kahler, K.E. Kline, A. Longenberger, P.K. Mitchell, S. Watkins, P. Berger, O. Shanks, C.E. Barrett, L. Barclay, A.J. Hall, V. Hill, and A. Weltman. Identifying septic pollution exposure routes during a waterborne norovirus outbreak - A new application for human-associated microbial source tracking qPCR.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 180: 106091, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518717",
      "keyword": [
        "Microbial Source Tracking",
        "hf183",
        "ground water",
        "septic",
        "norovirus",
        "outbreak"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-04",
      "references": [
        "https://doi.org/10.1016/j.mimet.2020.106091"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variability and Sampling of Lead (Pb) in Drinking Water: Assessing Exposure Risk Depends on the Sampling Protocol",
      "description": "This is a literature review paper that did not generate any new data. This dataset is not publicly accessible because: This work did not produce new data. It can be accessed through the following means: Data mentioned in this literature review can be accessed by accessing the original sources of information, as cited within the review. Format: This paper is a literature review (i.e., no new data generated). Sources of information are appropriately cited. \n\nThis dataset is associated with the following publication:\nTriantafyllidou, S., J. Burkhardt, J. Tully, K. Cahalan, M. DeSantis, D. Lytle, and M. Schock. Variability and sampling of lead (Pb) in drinking water: Assessing potential human exposure depends on the sampling protocol.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 146: 106259, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518670",
      "keyword": [
        "lead",
        "variability",
        "drinking water",
        "sampling protocol",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-01",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.106259"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw sequencing data set for photosynthetic microalgal fuel cell study",
      "description": "These data include raw sequencing data (bacterial 16S and eukaryote 18S rRNA genes) and a summary result table for bacteria classification in an Excel file. \n\nThis dataset is associated with the following publication:\nHwang, J., H. Ryu, K. Rodriguez, S. Fahad, J. SantoDomingo, A. Kushima, and W. Lee. A strategy for power generation from bilgewater using a photosynthetic microalgal fuel cell (MAFC).   JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 484: 229222, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519149",
      "keyword": [
        "bicarbonate",
        "Bio-electrogenesis",
        "Chlorella sorokiniana",
        "Microalgal fuel cells",
        "Synthetic bilgewater"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Bacterial 16S_microbial community analsis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519149/Bacterial%2016S_microbial%20community%20analsis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bac16S_R1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519149/Bac16S_R1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bac16S_R2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519149/Bac16S_R2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Eukaryote 18S-algae_R2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519149/Eukaryote%2018S-algae_R2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Eukaryote 18S-algae_R1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519149/Eukaryote%2018S-algae_R1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-05",
      "references": [
        "https://doi.org/10.1016/j.jpowsour.2020.229222"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stata code for analysis",
      "description": "This is STATA software code for analysis on publicly available NHANES data",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1520665",
      "keyword": [
        "mercury",
        "methylmercury",
        "biomarkers"
      ],
      "contactPoint": {
        "fn": "Leonid Kopylev",
        "hasEmail": "mailto:kopylev.leonid@epa.gov"
      },
      "distribution": [
        {
          "title": "Prediction of MeHg -- Stata code.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520665/Prediction%20of%20MeHg%20--%20Stata%20code.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urbanization imprints on soil texture and carbon",
      "description": "We provide a unique dataset characterizing urban soil profiles and their complementary pre-urban reference soil profiles for carbon content, and a proxy for soil texture, by depth to 1.5m. The research effort interprets this data in the context of urbanization impacts on the soil ecosystem with hydrologic and geotechnical implications. \n\nThis dataset is associated with the following publication:\nHerrmann, D., L. Schifman, and W. Shuster. Urbanization drives convergence in soil profile texture and carbon content.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 15(11): 114001, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502638",
      "keyword": [
        "urban ecosystem convergence theory",
        "urban ecosystem services",
        "Soil carbon",
        "soil texture",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "William Shuster",
        "hasEmail": "mailto:shuster.william@epa.gov"
      },
      "distribution": [
        {
          "title": "UrbanImprintsOnSoilTextureAndCarbon.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502638/UrbanImprintsOnSoilTextureAndCarbon.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-06",
      "references": [
        "https://doi.org/10.1088/1748-9326/abbb00"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluorine measurements for target PFAS and PFAS mixtures",
      "description": "Fluorine measurements for target PFAS and PFAS mixtures, fluorine mass balance calculations, non-targeted compound abundances. This dataset is not publicly accessible because: All data not included in the manuscript supplemental information is property of Harvard University. It can be accessed through the following means: Contact: Elsie Sunderland (ems@seas.harvard.edu). Format: Manuscript supplemental information contains tables of outputs of various assays in terms of concentrations. \n\nThis dataset is associated with the following publication:\nRuyle, B.J., C.P. Thackray, J. McCord, M. Strynar, K.A. Mauge-Lewis, S.E. Fenton, and E.M. Sunderland. Reconstructing the Composition of Per- and Polyfluoroalkyl Substances in Contemporary Aqueous Film-Forming Foams.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 8(1): 59-65, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519317",
      "keyword": [
        "PFAS",
        "Aqueous Film Forming Foam",
        "non-targeted analysis",
        "Extractable Organic Fluorine",
        "Total Oxidizeable Precursors"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2020-08-27",
      "references": [
        "https://doi.org/10.1021/acs.estlett.0c00798"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Literature data for Assessing Human Exposure to Chemicals in Materials, Products and Articles",
      "description": "It is literature data. This dataset is not publicly accessible because: The data was not generated by EPA. It can be accessed through the following means: Link will be available when it is published in peer reviewed journal. Format: The review paper only included published literature data. \n\nThis dataset is associated with the following publication:\nEichler, C., Y. Xu, J. Cao, C. Weschler, T. Salthammer, G. Morrison, Y. Zhang, C. Mandin, W. Wei, P. Blondeau, D. Poppendieck, E. Cohen-Hubal, X. Liu, C. Delmaar, A.J. Koivisto, O. Jolliet, H. Shin, M. Diamond, C. Bi, and J. Little. Assessing Human Exposure to Chemicals in Materials, Products and Articles:A Modular Mechanistic Framework.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  NA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1517657",
      "keyword": [
        "Exposure to Chemicals",
        "Materials",
        "Products",
        "Articles",
        "Semi-volatile organic compounds (SVOCs)",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [],
      "modified": "2019-12-09",
      "references": [
        "https://doi.org/10.1021/acs.est.0c02329"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wilkin et al. (2020) PRB REE dataset",
      "description": "The dataset contains Rare Earth Element concentration data in groundwater at various sites in the United States where in-situ remediation technologies are used for site management. \n\nThis dataset is associated with the following publication:\nWilkin, R.T., T.R. Lee, R.D. Ludwig, C. Wadler, W. Brandon, B. Mueller, E. Davis, D. Luce, and T. Edwards. Rare-Earth Elements as Natural Tracers for In-situ Remediation of Groundwater.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55: 1251-1259, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519170",
      "keyword": [
        "groundwater",
        "chromium",
        "Aquifer remediation",
        "arsenic",
        "TCE",
        "Permeable Reactive Barrier"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkin et al. (2020) dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519170/Wilkin%20et%20al.%20%282020%29%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-03",
      "references": [
        "https://doi.org/10.1021/acs.est.0c06113"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Removal of arsenic through mineral co-precipitation ",
      "description": "The data associated with the journal article are based upon a series of laboratory experiments on coprecipitation of As(V) and As(III) in equimolar ferrous and ferric sulfate solutions through formation of sulfate green rust, goethite, and lepidocrocite: 1) XRD analysis of solids; 2) X-ray absorption spectroscopy of coprecipitates; 3) Raman spectra of coprecipitates; 4) solution chemistry of coprecipitation (pH, Eh, concentrations of ferrous and ferric ions, arsenic concentrations of the solids). \n\nThis dataset is associated with the following publication:\nSu, C., and R.T. Wilkin. Removal of Arsenate and Arsenite in Equimolar Ferrous and Ferric Sulfate Solutions through Mineral Coprecipitation: Formation of Sulfate Green Rust, Goethite, and Lepidocrocite.   Soil Systems. MDPI AG, Basel,  SWITZERLAND, 4(68): 1-16, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519358",
      "keyword": [
        "arsenic coprecipitation",
        "redox transformation",
        "iron oxides",
        "X-ray Absorption Spectroscopy",
        "Raman spectroscopy"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Solution Chemistry Sulfate Green Rust Arsenic Coprecipitation 920.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519358/Solution%20Chemistry%20Sulfate%20Green%20Rust%20Arsenic%20Coprecipitation%20920.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XRD XAS Raman Speciation Sulfate Green Rust Arsenic Coprecipitation 920.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519358/XRD%20XAS%20Raman%20Speciation%20Sulfate%20Green%20Rust%20Arsenic%20Coprecipitation%20920.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-11",
      "references": [
        "https://doi.org/10.3390/soilsystems4040068"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transportation emissions scenarios for New York City under different carbon intensities of electricity and electric vehicle adoption rates",
      "description": "Abstract\nLike many cities around the world, New York City is establishing policies to reduce CO2 emissions from all energy sectors by 2050. Understanding the impact of varying degrees of electric vehicle adoption and CO2 intensities on emission reduction in the city is critical. Here, using a technology-rich, bottom-up, energy system optimization model, we analyze cost and air emission impacts of New York City’s proposed CO2 reduction policies for the transportation sector through a scenario framework. Our analysis reveals electrification of light-duty vehicles at earlier periods are essential for deeper reductions in air emissions. When further combined with energy efficiency improvements, these actions contribute to CO2 reductions under the scenarios of higher CO2 intense electricity. Significant reliance on fossil fuels and a need for structural change pose challenges to cost-effective CO2 reductions in the transportation sector. Here we found that uncertainties associated with decarbonization of the electric grid has minimum influence on cost-effectiveness of CO2 reduction pathways for transportation sector. \n\nThis dataset is associated with the following publication:\nIsik, M., R. Dodder, and P. Kaplanakman. How sustainable are New York City’s transportation policies in the context of broader emissions reduction targets?.   Nature Energy. Springer Nature Group, New York, NY,  6: 92-104, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504208",
      "keyword": [
        "Policy Evaluation",
        "Transportation Sector",
        "City Planning",
        "80x50",
        "Transportation Policies",
        "Co-effects of mitigation policies",
        "air emissions",
        "GHG Mitigation",
        "air quality",
        "co-benefits",
        "Community Decision-Making",
        "energy modeling",
        "Energy systems modeling",
        "MARKAL",
        "energy-water nexus",
        "greenhouse gas emissions",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "IsikDodderKaplan_dataset 01October2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504208/IsikDodderKaplan_dataset%2001October2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-16",
      "references": [
        "https://doi.org/10.1038/s41560-020-00740-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AHHS 1 and 2 SciHUB 8-17-20.xlsx",
      "description": "Each Table or Figure is covered on a seperate sheet in the EXCEL file, i.e., Table 1, Table 2, Table 3 and figure 1.  Table 1 contains raw data for the number of cell equivalents per mg of dust and the resulting % occurence of each of the 36 ERMI molds, also the concnetration of each of the eRMI molds and the Geometric mean (GM) for the samples.  Table 2 shows the data for the  comparisons made for the average ERMI values in the first American Healthy Homes Survey (AHHS I) and AHHS II homes and in homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977).  Table 3 contains the data used to generate the average summed logs of Group 1 mold populations (Group 1) and summed logs of Group 2 mold populations (Group 2) in the American Healthy Homes Survey II (AHHS II)  homes built before 1978 (Pre-1978) and homes built in 1978 or later (Post-1977).  And the Figure 1 Excel sheet shows the data used to produce the Kernel density estimate plots of the Environmental Relative Moldiness Index (ERMI) values for the homes sampled in AHHS I (n=1096) and AHHS II (n=694). \n\nThis dataset is associated with the following publication:\nVesper, S., L. Wymer, D. Cox, G. Dewalt, E. Pinzer, W. Friedman, and P.J. Ashley. The Environmental Relative Moldiness Index reveals changes in mold contamination in United States homes over time.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 18(1): 35-41, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519263",
      "keyword": [
        "american healthy home survey",
        "environmental relative mold index",
        "asthma",
        "mold",
        "home"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "AHHS 1 and 2 SciHUB 8-17-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519263/AHHS%201%20and%202%20SciHUB%208-17-20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-17",
      "references": [
        "https://doi.org/10.1080/15459624.2020.1844892"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing the air emissions, transport, and deposition of per- and polyfluoroalkyl substances from a fluoropolymer manufacturing facility",
      "description": "The dataset provided here documents the information used to generate figures for \"Characterizing the Air Emissions, Transport, and Deposition of Per- and Polyfluoroalkyl Substances from a Fluoropolymer Manufacturing Facility\" published in Environmental Science and Technology. \n\nThis dataset is associated with the following publication:\nD'Ambro, E., H. Pye, J. Bash, J. Boyer, C. Allen, C. Efstathiou, R. Gilliam, L. Reynolds, K. Talgo, and B. Murphy. Characterizing the air emissions, transport, and deposition of per- and polyfluoroalkyl substances from a fluoropolymer manufacturing facility.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 55(2): 862-870, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519323",
      "keyword": [
        "PFAS",
        "air quality",
        "CMAQ",
        "Air Fate and Transport",
        "GenX"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "DAmbroMurphy_CMAQPFAS_Chemours_EST2020_Data_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519323/DAmbroMurphy_CMAQPFAS_Chemours_EST2020_Data_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-27",
      "references": [
        "https://doi.org/10.1021/acs.est.0c06580"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519323/documents/D%27Ambro_et_al_Data_Dictionary_Final.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Web-based Tool of The Non-potable Environmental and Economic Water Reuse Calculator (NEWR) ",
      "description": "NEWR tool background model and results of the applications. \n\nThis dataset is associated with the following publication:\nArden, S., B. Morelli, S. Cashman, C. Ma, M. Jahne, and J. Garland. Onsite Non-potable Reuse for Large Buildings: Environmental and Economic Suitability as a Function of Building Characteristics and Location.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 191: 116635, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519028",
      "keyword": [
        "NEWR",
        "Non-potable reuse",
        "decentralized treatment",
        "life cycle assessment",
        "life cycle cost analysis",
        "regional availability."
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "NEWR_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519028/NEWR_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Arden et al., 2021.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519028/Arden%20et%20al.%2C%202021.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2020.116635"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519028/documents/NEWR_Results.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "The role of HONO in O3 formation and insight into its formation mechanism during the KORUS-AQ campaign",
      "description": "Data collected for this research provides information on mixing layer heights and in-situ formaldehyde concentrations at Olympic Park during the KORUS-AQ field campaign. \n\nThis dataset is associated with the following publication:\nGil, J., J. Kim, M. Lee, G. Lee, J. An, D. Lee, J. Jung, S. Cho, A. Whitehill, J. Szykman, J. Lee, and J. Hong. Characteristics of HONO and its impact on O3 formation in the Seoul Metropolitan Area during the Korea-US Air Quality Study.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 247: NA, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518776",
      "keyword": [
        "KORUS-AQ",
        "Korea",
        "seoul",
        "Olympic Park",
        "Formaldehyde",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.118182"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coupling the dual-isotope indicators of water and nitrate indicates legacy groundwater pollution",
      "description": "Shallow groundwater samples were collected since 2006 for routine analysis by ODEQ from 16 domestic wells (installation dating from the 1970s) and 23 ODEQ groundwater monitoring wells (installation dating between 2003-2006) across the SWV-GWMA. In 2012, sampling and analysis for water isotopes (δH2O:2H-H2O and 18O-H2O) were added to the monitoring program. At that time, ODEQ collected samples quarterly in all wells. However, in 2016, ODEQ decreased sampling frequency to once a year (May/June) for all 39 wells, while 12 wells continued to be sampled every quarter. At the same time, sampling and analysis for NO3- isotopes (δNO3-: 15N-NO3- and 18O-NO3-) were added to the monitoring program. This study reports on the monitoring results through 2019, which includes 8 years of water isotope and 4 years for nitrate isotope data. Data were added to include data collected through May 2024, adding 4 additional years. \n\nThis dataset is associated with the following publication:\nWeitzman, J., J.R. Brooks, P. Mayer, W. Rugh, and J. Compton. Coupling the dual isotopes of water (δ2H and δ18O) and nitrate (δ15N and δ18O): A new framework for classifying current and legacy groundwater pollution.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(4): 045008, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519089",
      "keyword": [
        "nitrogen",
        "nitrate",
        "nutrient managment",
        "groundwater",
        "well water",
        "water quality",
        "community research",
        "translational science"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "SWV-GWMA Data for SciHub 250513.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519089/SWV-GWMA%20Data%20for%20SciHub%20250513.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-22",
      "references": [
        "https://doi.org/10.1088/1748-9326/abdcef",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059602"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Tables and Figures - Marine Fisheries",
      "description": "The dataset provides the data used in each of the figures and tables in the final published manuscript specifically Figures 2-9 and Tables 10 and 11. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518745",
      "keyword": [
        "commercial fisheries",
        "marine species distribution",
        "welfare impacts",
        "climate change",
        "warming ocean temperatures"
      ],
      "contactPoint": {
        "fn": "Michael Kolian",
        "hasEmail": "mailto:kolian.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "CIRA Marine Fisheries - Data Tables.Rev_2020.05.04.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518745/CIRA%20Marine%20Fisheries%20-%20Data%20Tables.Rev_2020.05.04.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-01",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1518745/documents/Appendix.docx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"A data engineering approach for chemical flow analysis and circular economy\"",
      "description": "As described in the README.md file, the GitHub repository EoL4Chem are Python scripts written to track chemical waste flows and identify recycling, energy recovery, treatment & disposal facilities (RETDFs) located across the United States of America, using publicly-available databases. EoL4Chem uses the U.S. Environmental Protection Agency (EPA)'s Chemical Data Reporting (CDR) to gather information about potential post-recycling scenarios for recycled chemicals (e.g., fuel or fuel agent). EoL4Chem integrates the PAU4Chem repository, which transforms data for performing chemical flow analysis for pollution abatement units (PAUs) or on-site end-of-life (EoL) operations (e.g., distillation). Also, EoL4Chem incorporates the physical properties (e.g., boiling point) from another repository that retrieves the properties using web scraping and automatization. These properties support chemical flow analysis performance.\nAlso, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script (all manuscript figures, e.g., file name Sankey_1.pdf\tis the Sankey diagram shown in Figure 4A), and the corresponding Disclaimer.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520621",
      "keyword": [
        "end-of-life management",
        "circular economy",
        "chemical flow tracking",
        "Exposure pathways",
        "Chemical releases",
        "life cycle inventory",
        "Chemical Safety for Sustainability",
        "chemical manufacturing",
        "Life Cycle Environmental Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/EoL4Chem",
          "accessURL": "https://github.com/gruizmer/EoL4Chem",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioavailability, Bioaccessibility and speciation data.",
      "description": "Bioavailability, Bioaccessibility and speciation data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Karen Bradham bradham.karen@epa.gov or Tyler Sowers sowers.tyler@epa.gov. Format: The data were generated using EPA and HUD samples.  All of the soil and dust samples were provided to CEMM for research and methods development based on the agreement that the specific sample identifiers would not be released.  The samples identifications for the HUD samples are considered PII and the EPA Regional soils samples are not identified because some of these locations may be in litigation.  ",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519319",
      "keyword": [
        "lead",
        "XAS",
        "bioavailability",
        "Dust"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2020-06-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data used in Figures and Tables in this Research Effort",
      "description": "The data set represents data collected during the pilot study. \n\nThis dataset is associated with the following publication:\nLytle, D., D. Williams, C. Muhlen, E. Riddick, and M. Pham. The Removal of Ammonia, Arsenic, Iron and Manganese by Biological Treatment from a Small Iowa Drinking Water System.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 6(11): 3142-3156, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504163",
      "keyword": [
        "ammonia",
        "arsenic",
        "iron",
        "manganese",
        "biological treatment",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Gilbert Iowa SKIDs Pilot _Science Hub data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504163/Gilbert%20Iowa%20SKIDs%20Pilot%20_Science%20Hub%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-28",
      "references": [
        "https://doi.org/10.1039/d0ew00361a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization results",
      "description": "Characterization data set. \n\nThis dataset is associated with the following publication:\nAl-Anazi, A., W. Abdelraheem, K. Scheckel, M. Nadagouda, K. Shea, and D.D.  Dionysiou. Novel Franklinite-like Synthetic Zinc-Ferrite Redox Nanomaterial: synthesis and evaluation for Degradation of Diclofenac in Water.   APPLIED CATALYSIS B: ENVIRONMENTAL. Elsevier Science Ltd, New York, NY, USA, 275: 119098, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506071",
      "keyword": [
        "Zinc ferrite",
        "Diclofenac (DCF)",
        "Advanced oxidation and reduction",
        "reaction byproducts"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of MALLIK.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Copy%20of%20MALLIK.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Manuscript-11-20-19.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Manuscript-11-20-19.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Graphical Abstract-11-20-19.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Graphical%20Abstract-11-20-19.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Highlights.doc",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Highlights.doc",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Supplementary%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn10.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn10.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn07.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn07.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn03star.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn03star.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn03.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn03.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn01.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn01.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zn 0.3 Star.XLS",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506071/Zn%200.3%20Star.XLS",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-19",
      "references": [
        "https://doi.org/10.1016/j.apcatb.2020.119098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization Data-XPS-XRD",
      "description": "Characterization data such as XRD and XPS. \n\nThis dataset is associated with the following publication:\nDesai, I., M. Nadagouda, M. Elovitz, M. Mills, and B. Boulanger. Synthesis and Characterization of Magnetic Manganese Ferrites.   Materials Science for Energy Technologies. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(2): 150-160, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520718",
      "keyword": [
        ":  Synthesis",
        "Magnetic particles",
        "water treatment"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "XPS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/XPS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20PVA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/20PVA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "15PVA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/15PVA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "10PVA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/10PVA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/3.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/2.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520718/1.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-20",
      "references": [
        "https://doi.org/10.1016/j.mset.2019.01.009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033294: Mining a human transcriptome database for chemical modulators of NRF2",
      "description": "Gene Expression Omnibus and ArrayExpress archived study numbers of microarray data used in the study. \n\nThis dataset is associated with the following publication:\nRooney, J., B. Chorley, S. Hiemstra, S. Wink, X. Wang, D. Bell, B. van de Water, and J. Corton. Mining a human transcriptome database for chemical modulators of Nrf2 (PLOS ONE).   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(9): e0239367, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504297",
      "keyword": [
        "Nrf2",
        "oxidative stress",
        "microarray",
        "toxicogenomics",
        "High throughput screening"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-83c0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504297/Data%20submission%20for%20A-83c0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-10",
      "references": [
        "https://doi.org/10.1371/journal.pone.0239367"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "R2PIER monitoring data",
      "description": "These data include the 1-minute monitoring values at the R2PIER site, the daily averaged data supporting comparison of the R2PIER and nearby New Jersey Elizabeth Lab site, and the 5 minute shipping data. \n\nThis dataset is associated with the following publication:\nHagler, G., D. Birkett, R. Henry, and R. Peltier. Three years of high time-resolution air pollution monitoring in the complex multi-source harbor of New York and New Jersey.   AEROSOL AND AIR QUALITY RESEARCH. Chinese Association for Aerosol Research in Taiwan,   TAIWAN, PROVINCE OF CHINA, 21(2): NA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517799",
      "keyword": [
        "ports",
        "near-source",
        "air quality monitoring",
        "Inverse Modeling"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "R2PIER-NJ-Comparison.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517799/R2PIER-NJ-Comparison.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shipping-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517799/Shipping-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "R2PIER-1min-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517799/R2PIER-1min-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-13",
      "references": [
        "https://doi.org/10.4209/aaqr.2020.02.0069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517799/documents/DataDictionary-README.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Sarajevo PM2.5 Data from MetOne BAM-1020",
      "description": "This is an hourly time series of PM2.5 concentration, temperature, and relative humidity measured by a MetOne BAM-1020 in Sarajevo, Bosnia and Herzegovina. \n\nThis dataset is associated with the following publication:\nHagler, G., T. Hanley, R. Vanderpool, B. Hassett-Sipple, M. Smith, J. Wilbur, T. Wilbur, T. Oliver, D. Shand, V. Vidacek, C. D'Angelo, and R. Allen. PM2.5 Temporal Trends and Instrument Performance Assessment Over 2018-2019 in Sarajevo, BiH Jan 2020. In Proceedings, UIPS Conference 2020, Sarajevo, NA, BOSNIA, 01/31/2021 - 01/31/2021. Association of Consulting Engineers Bosnia and Herzegovina, Sarajevo,  BOSNIA, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518365",
      "keyword": [
        "pm2.5",
        "Bosnia",
        "Sarajevo",
        "fine particles",
        "FEM"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "Sarajevo-confproc-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518365/Sarajevo-confproc-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA Data 2008,2009, 2013, 2014",
      "description": "Rivers and Streams data for the National Aquatic Resource Surveys. \n\nThis dataset is associated with the following publication:\nHerlihy, A., J. Sifneos, R. Hughes, D. Peck, and R. Mitchell. The Relation of Lotic Fish and Benthic Macroinvertebrate Condition Indices to Environmental Factors Across the Conterminous USA.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 112: 105958, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504126",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2009-12-31",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2019.105958"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seepage Flux Article Data 8/7/2014 - 8/19/2014",
      "description": "The dataset includes measurements of sediment temperature, along with local climate and hydrologic conditions, which can be used to assess performance of different one-dimensional models for estimating the magnitude and direction of seepage flux between groundwater and surface water.  The dataset includes continuous records of groundwater and surface water elevations, sediment temperature, and local climate data during the dates of 7 August 2014 through 19 August 2014.  Measurements of thermal conductivity for sediment cores in three locations within the monitored surface water body are also included. \n\nThis dataset is associated with the following publication:\nFord, R.G., B.K. Lien, S.D. Acree, and R.R. Ross. Spreadsheet Tools for Quantifying Seepage Flux Across the GW‐SW Interface.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(1): 01-11, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520049",
      "keyword": [
        "seepage flux",
        "sediment temperature",
        "calculation tool",
        "site characterization"
      ],
      "contactPoint": {
        "fn": "Robert Ford",
        "hasEmail": "mailto:ford.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Seepage_Flux_Article_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520049/Seepage_Flux_Article_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-23",
      "references": [
        "https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR026232"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"The contribution of wildland fire emissions to nitrogen and sulfur deposition in the contiguous U.S.: Implications for tree growth and survival in the Northwest\"",
      "description": "Data files for Koplitz et al., \"The contribution of wildland emissions to deposition in the U.S.: implications for tree growth and survival in the Northwest\", Environmental Research Letters, in press, 2021, doi:10.1088/1748-9326/abd26e. \n\nThis dataset is associated with the following publication:\nKoplitz, S., C. Nolte, R. Sabo, C. Clark, K. Horn, R.Q. Thomas, and T. Newcomer-Johnson. The contribution of wildland fire emissions to deposition in the U S: implications for tree growth and survival in the Northwest.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(2): 024028, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517565",
      "keyword": [
        "air quality",
        "CMAQ",
        "WRF",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "FIA_data_stats_effects.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517565/FIA_data_stats_effects.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FIA_data_full.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517565/FIA_data_full.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "deposition.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517565/deposition.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517565/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-07",
      "references": [
        "https://doi.org/10.1088/1748-9326/abd26e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fate of Cerium Dioxide Nanoparticles in Soil Monitored by Single Particle ICP-MS",
      "description": "Data set is based on an analytical method for the extraction, detection, and characterization of engineered nanoparticles in the soil. \n\nThis dataset is associated with the following publication:\nLiu, W., H. Shi, K. Liu, X. Liu, E. Sahle-Demessie, and C. Stephan. A Sensitive Single Particle-ICP-MS Method for CeO2 Nanoparticles Analysis in Soil during Aging Process.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. American Chemical Society, Washington, DC, USA, 69(3): 1115-1122, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502547",
      "keyword": [
        "Single particle (SP)- ICP-MS",
        "CeO2 nanoparticles",
        "Tetrasodium pyrophosphate",
        "soil",
        "Extraction"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "G-STD-0010591-JA-15-1 (002).docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502547/G-STD-0010591-JA-15-1%20%28002%29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-03",
      "references": [
        "https://pubs.acs.org/doi/10.1021/acs.jafc.0c06343"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502547/documents/Data%20Dictionary_MWCNT_PlolymerComposite.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste",
      "description": "https://github.com/zavalab/JuliaBox/tree/master/HiddenImpacts \nThis folder provides supporting codes for the paper \"Valuing Economic Impact Reductions of Nutrient Pollution from Livestock Waste\".\n* The folder \"sensitivity_analysis\" contains the code and data files for different values of the economic impact/value of service (vos).\n* The folder \"GIS_data\" contains the code and data files used to generate the maps of the Upper Yahara watershed region presented in the paper. \n* In each case, we have three Julia scripts: \"market_model.jl\", \"market_Run.jl\", and \"market_print.jl\". One should run \"market_Run.jl\" first, this script will automatically read the \"market_model.jl\" script, establish the model, and solve the model. Then, the \"market_print.jl\" should be run in order to print out all the result files.\n* If a sensitivity analysis on the VOS needs to be conducted (similar to the paper), one can change the lambda value in line 26 in \"market_model.jl\".\n* We recommend use Julia 0.6.4 and Gurobi 8.1 to run all code files for sensitivity analysis. \n\nThis dataset is associated with the following publication:\nSampat, A.M., A. Hicks, G. Ruiz-Mercado, and V.M. Zavala. Valuing economic impact reductions of nutrient pollution from livestock waste.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 164: 105199, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518420",
      "keyword": [
        "Economic valuation",
        "supply chain",
        "organic waste",
        "quantitative indicators",
        "multi-criterion decision making analysis",
        "sustainability analysis",
        "modeling and optimization",
        "nutrient pollution",
        "Harmful Algal Bloom (HAB)",
        "energy recovery"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs",
          "accessURL": "https://github.com/zavalab/JuliaBox/tree/master/SC_HABs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-09",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2020.105199"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput Toxicogenomic Screening of Chemicals in the Environment Using Metabolically Competent, Human-derived Hepatic Cell Cultures ",
      "description": "Gene expression data from the Fluidigm qRT-PCR arrays was analyzed in R (v3.6.1; R Foundation for Statistical Computing, 2019). Prior to processing through the tcpl package, each qRT-PCR primer set was annotated as an individual assay endpoint (aeid) for analyses. For each plate, well types were designated for test compound wells (t), positive controls (c), (that is phenobarbital) and neutral controls (n, DMSO). Fold-change in the number of amplification cycles needed to pass the background threshold (Ct) for 96 transcripts to (ftp://newftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Wambaugh/ToxCast_LTEA, file LTEA_Level2_20191119.zip) were normalized to the geometric mean of three housekeeping genes (ACTB, GAPDH, POLR2A) to generate ΔCt values (cval). Prior to calculating the response values (rval), or ΔΔCt, for each transcript (n = 96) per well, the baseline value (bval), the plate-wise median of the neutral control wells, was generated for each plate (the normalization process is described in detail in supplemental file SupFile4-DeltaCTCalculation.docx). The bval was subtracted from the cval to yield the rval or log2 Fold Change per transcript. \n\nGene expression data from the Fluidigm qRT-PCR arrays was analyzed in R (v3.6.1; R Foundation for Statistical Computing, 2019). Prior to processing through the tcpl package, each qRT-PCR primer set was annotated as an individual assay endpoint (aeid) for analyses. For each plate, well types were designated for test compound wells (t), positive controls (c), (that is phenobarbital) and neutral controls (n, DMSO). Fold-change in the number of amplification cycles needed to pass the background threshold (Ct) for 96 transcripts to (ftp://newftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Wambaugh/ToxCast_LTEA, file LTEA_Level5_20191119.zip) were normalized to the geometric mean of three housekeeping genes (ACTB, GAPDH, POLR2A) to generate ΔCt values (cval). Prior to calculating the response values (rval), or ΔΔCt, for each transcript (n = 96) per well, the baseline value (bval), the plate-wise median of the neutral control wells, was generated for each plate (the normalization process is described in detail in supplemental file SupFile4-DeltaCTCalculation.docx). The bval was subtracted from the cval to yield the rval or log2 Fold Change per transcript.\n\nSupplemental File LTEA_Inucyte_Images.zip is comprised of 20,493 images totaling more than 15 gigabytes. Cell morphology images were acquired for each well/plate with an Essen IncuCyte™ FLR automated phase-contrast microscope located inside a tissue culture incubator. Six 96-well culture plates were loaded into the instrument and imaged for an elapsed time (~24 minutes). The IncuCyte™ software was used for image capturing and export of images in JPEG format. \n\nThis dataset is associated with the following publication:\nFranzosa, J., J. Bonzo, J. Jack, N.C. Baker, P. Kothiya, R. Witek, P. Hurban, S. Siferd, S. Hester, I. Shah, S. Ferguson, K. Houck, and J. Wambaugh. High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures.   npj Systems Biology and Applications. Springer Nature Group, New York, NY,  7: Article 7, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518725",
      "keyword": [
        "ToxCast",
        "ToxCast database",
        "in vitro hepatic metabolism",
        "hepatotoxicity",
        "human hepatocytes",
        "high-throughput transcriptomic screening",
        "high-throughput transcriptomics",
        "transcriptomics",
        "qPCR",
        "Bayesian statistics",
        "chemical evaluation",
        "high-throughput screening",
        "in vitro high-throughput screening"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Wambaugh/ToxCast_LTEA",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/Wambaugh/ToxCast_LTEA",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-19",
      "references": [
        "https://doi.org/10.1038/s41540-020-00166-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.epa.gov/chemical-research/exploring-toxcast-data-overview-tcpl-r-package"
      },
      "accessRights": "public"
    },
    {
      "title": " Indophenol Method Temperature Dependence: Impact on monochloramine, free ammonia, and free chlorine measurement",
      "description": "Data is for the manuscript figures. \n\nThis dataset is associated with the following publication:\nWaters, T., M. Alexander, and D. Wahman. Temperature impact on monochloramine, free ammonia, and free chlorine indophenol methods.   Water Practice & Technology. IWA Publishing, London,  UK, 16(1): 135-145, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517618",
      "keyword": [
        "nitrification",
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Indophenol Method Temperature Dependence Impact on monochloramine free ammonia and free chlorine.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517618/Indophenol%20Method%20Temperature%20Dependence%20Impact%20on%20monochloramine%20free%20ammonia%20and%20free%20chlorine.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-23",
      "references": [
        "https://doi.org/10.2166/wpt.2020.104"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "How to Support the Application of Multiple Criteria Decision Analysis?  Let us Start with a Taxonomy",
      "description": "Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision problem, identifying their preferences and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of 10 characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that help the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters, such that a traceable and categorizable development of such systems can be enhanced. \n\nThis dataset is associated with the following publication:\nCinelli, M., M. Kadziński, M. Gonzalez, and R. Słowiński. How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy.   ACS Omega. American Chemical Society, Washington, DC, USA, 96: 102261, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504539",
      "keyword": [
        "Decision analysis",
        "emerging technology",
        "Environmental remediation",
        "multi-criteria decision analysis"
      ],
      "contactPoint": {
        "fn": "Michael Gonzalez",
        "hasEmail": "mailto:gonzalez.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix A - Compiled data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504539/Appendix%20A%20-%20Compiled%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-03",
      "references": [
        "https://doi.org/10.1016/j.omega.2020.102306"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504539/documents/Appendix%20B%20-%20Data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Contrasting radical activity",
      "description": "Reaction intermediates formed during the ultra-violet (UV) activation of hydrogen peroxide (H2O2) (UV-AHP) and persulfate (S2O82-) (UV-APS) include hydroxyl (•OH) and sulfate radicals (SO4•-), respectively. These radicals, used in oxidation treatment systems to degrade a broad spectrum of environmental contaminants, may also react with non-target chemical species (scavengers) that limit treatment efficiency. UV-AHP and UV-APS treatment systems were amended with solid phase alumina to assess scavenging by solid surfaces. The relative rates of reaction between the target compound, rhodamine B dye (RhB), and aqueous and solid phase scavengers was used to assess treatment performance. The overall rate of reaction and rate of radical scavenging was greater for •OH than SO4•-. Scavenging by dissolved constituents was dominated by the oxidant used (H2O2, S2O82-); and the rate of radical scavenging by alumina was greater than the rate of RhB oxidation in all cases. Treatment efficiency was lower in the UV-AHP than in the UV-APS treatment system and was attributed to greater aqueous and solid phase scavenging rates. The cost of commercially available H2O2 ($0.031 mol-1) and PS ($0.24 mol-1) was used in conjunction with the overall treatment efficiency to assess specific cost of treatment. The specific cost to treat the probe compound with UV-AHP was greater than UV-APS and was attributed to the much lower treatment efficiency with UV-AHP. The much-desired high reaction rate constants between •OH and environmental contaminants, relative to SO4•-, comes at the cost of greater combined scavenging rates, and consequently lower treatment efficiency. \n\nThis dataset is associated with the following publication:\nRusevova Crincoli, K., and S.G. Huling. Contrasting hydrogen peroxide- and persulfate-driven oxidation systems: Impact of radical scavenging on treatment efficiency and cost.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 404: 1-6, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518483",
      "keyword": [
        "Hydroxyl Radicals",
        "Sulfate Radicals",
        "Scavenging",
        "kinetics",
        "treatment efficiency",
        "Mineral Surfaces"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub_data set message.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518483/Science%20Hub_data%20set%20message.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-26",
      "references": [
        "https://doi.org/10.1016/j.cej.2020.126404"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GAC Oxidation",
      "description": "Raw materials, activation methods, and post-activation treatment used in manufacturing granular activated carbon (GAC) results in a spectrum of physicochemical characteristics that potentially impact the adsorption oxidation treatment process. A comprehensive study is lacking that assesses the effect of GAC characteristics on adsorption oxidation treatment of contaminant-spent GAC. Consequently, it is inherently assumed the treatment process is GAC-independent. Here, GACs (n=31) were characterized and used in the hydrogen peroxide (H2O2)-based adsorption oxidation treatment of 2-chlorophenol (2CP)-spent GAC. The GACs exhibited a range in surface area, pore volume distribution, metals content, surface functionality, and H2O2 reaction. Chloride recovery, the treatment metric for 2CP oxidation, indicated a wide range in oxidation (0-49.2%) where bituminous- and wood-based GAC performed best. A selected subset of GACs (n=12), amended with iron, methyl tert-butyl ether, and H2O2, exhibited a range in oxidative treatment (1.1-57.9%). Correlations were established between GAC surface functionality, H2O2 reactivity, adsorption, and contaminant oxidation indicating multiple parameters play a collective and compounding role. The order of GACs successfully used in the treatment process is bituminous-based coal > wood > coconut > peat. Results showed adsorption oxidation treatment is GAC-dependent, and therefore, GAC selection is a key factor in the success of this technology. \n\nThis dataset is associated with the following publication:\nRusevova Crincoli, K., P.K. Jones, and S.G. Huling. Fenton-driven oxidation of contaminant-spent granular activated carbon (GAC): GAC selection and implications.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 734: 1-9, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518530",
      "keyword": [
        "granular activated carbon",
        "advanced oxidation",
        "adsorption",
        "MTBE",
        "2-chlorophenol"
      ],
      "contactPoint": {
        "fn": "Scott Huling",
        "hasEmail": "mailto:huling.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "GAC Oxidation_Sci Hub Data Set Vers 2.0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518530/GAC%20Oxidation_Sci%20Hub%20Data%20Set%20Vers%202.0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-14",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518530/documents/GAC%20Oxidation_Data%20Dictionary%20for%20SDMP.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrous Oxide Formation and Dissolved Oxygen Consumption from Dichloramine Hydrolysis: Evidence of Nitrosation Stemming from Nitroxyl in Chloramination",
      "description": "The dataset is the contact information for the corresponding author to obtain data associated with the manuscript. \n\nThis dataset is associated with the following publication:\nPham, H., D. Wahman, and J. Fairey. Updated Reaction Pathway for Dichloramine Decomposition: Formation of Reactive Nitrogen Species and N-Nitrosodimethylamine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(3): 1740-1749, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518479",
      "keyword": [
        "NDMA",
        "nitrification",
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Data Contact Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518479/Manuscript%20Data%20Contact%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-25",
      "references": [
        "https://doi.org/10.1021/acs.est.0c06456"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Data engineering for tracking chemicals and releases at industrial end-of-life activities\"",
      "description": "The GitHub repository contains a Python code (MC_Case_Study.py) to support and replicate the case study results shown in the manuscript entitled Data engineering for tracking chemicals and releases at industrial end-of-life activities. Also, it indicates the free-available Python libraries that are required for running the code \"MC_Case_Study.py.\" The dataset \"EoL_database_for_MC.csv\" contains all data to execute the Python code and obtain \"Figure 6: 6-level Sankey diagram for the case study\", \"Figure 7: Box plot for the case study\", and \"Figure 8: Histogram for the case study.\" A Table describing the data name entry and data type for the dataset \"EoL_database_for_MC.csv\" is shown. Also, this dataset information and Python code are provided in the manuscript Supporting Info file (see supporting documents). \n\nThis dataset is associated with the following publication:\nHernandez-Betancur, J.D., G.J. Ruiz-Mercado, J.P. Abraham, M. Martin, W.W. Ingwersen, and R.L. Smith. Data engineering for tracking chemicals and releases at industrial end-of-life activities.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 405: 124270, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518810",
      "keyword": [
        "End-of-life stage",
        "chemical risk evaluation",
        "data engineering",
        "industrial end-of-life activities",
        "chemical flow tracking",
        "Chemical releases",
        "life cycle inventory",
        "Chemical Safety for Sustainability",
        "chemical manufacturing",
        "Life Cycle Environmental Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/MC_Case_Study",
          "accessURL": "https://github.com/gruizmer/MC_Case_Study",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-11",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2020.124270",
        "https://pasteur.epa.gov/uploads/10.23719/1518810/documents/Updated_SI_chemicals_EoL_06-09-20_after_363review_-_QAClean.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dow UAS NOx Stack Boiler Emissions",
      "description": "Read Me file with Journal title page.\nData dictionary.\nFigure/Table data (CEM data, flight data, emission factor data)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520733",
      "keyword": [
        "emissions",
        "natural gas",
        "boiler",
        "unmanned aircraft system",
        "drone",
        "continuous emission monitoring"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Feb 3 2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520733/Data%20Table%20Science%20Hub%20Feb%203%202020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dietary niche and growth rate of the nonnative tubenose goby (Proterorhinus semilunaris) in the Lake Superior basin, 2018",
      "description": "Biological characters of age-0 tubenose goby captured in the St. Louis River, MN-WI, during 2018:\nDiet items by season with associated selection metrics\nLengths\nWeights (fresh, ethanol-preserved)\nSex\nAge (days)\nCatch data\n\nBiological characters of tadpole madtom captured in the St. Louis River, MN-WI, during 2018:\nDiet items by season with associated selection metrics. \n\nThis dataset is associated with the following publication:\nDawson, B., G. Peterson, T. Hrabik, and J. Hoffman. Dietary niche and growth rate of the nonnative tubenose goby (Proterorhinus semilunaris) in the Lake Superior basin.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 46(5): 1358-1368, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520467",
      "keyword": [
        "invasive species",
        "competition",
        "Gompertz",
        "wetlands",
        "Great Lakes."
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "HoffmanJoel_A-69pm_Dataset_20191216.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520467/HoffmanJoel_A-69pm_Dataset_20191216.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-16",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.07.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between cumulative environmental quality and ten selected birth defects in Texas",
      "description": "The Texas Birth Defects Registry (TBDR) of the Texas Department of State Health Services (TDSHS) is an active surveillance system that maintains information on infants with structural and chromosomal birth defects born to mothers residing in Texas at the time of birth (Texas Department of State Health Services, 2019). TBDR staff review medical records to identify and abstract relevant case information, which then undergoes extensive quality checks (Texas Department of State Health Services, 2019). All diagnoses are made prenatally or within one year after delivery (Texas Department of State Health Services, 2019). Data on cases was obtained from the TBDR. Information on live births for the denominators and on covariates for cases and denominators was obtained from the Texas Department of State Health Services Center for Health Statistics. This research was approved by the Texas Department of State Health Services Institutional Review Board and US EPA Human Subjects Review.\n\nThe Environmental Quality Index (EQI) estimates overall county-level environmental quality for the entire US for 2006-2010. The construction of the EQI is described elsewhere (United States Environmental Protection Agency, 2020). Briefly, the national data was compiled to represent simultaneous, cumulative environmental quality across each of the five domains: air (43 variables) representing criteria and hazardous air pollutants; water (51 variables), representing overall water quality, general water contamination, recreational water quality, drinking water quality, atmospheric deposition, drought, and chemical contamination; land (18 variables), representing agriculture, pesticides, contaminants, facilities, and radon; built (15 variables), representing roads, highway/road safety, public transit behavior, business environment, and subsidized housing environment; and sociodemographic (12 variables), representing socioeconomics and crime. The variables in each domain specific index were reduced using principal component analysis (PCA), with the first component retained as that domain’s index value. The domain specific indices were valence corrected to ensure that the directionality of the variables was consistent with higher values suggesting poorer environmental quality. The domain specific indices were then processed through a second PCA and the first index retained as the overall EQI. The overall and domain specific EQI indices are publicly available through the US EPA (United States Environmental Protection Agency: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nKrajewski, A., K. Rappazzo, P. Langlois, L. Messer, and D. Lobdell. Associations between cumulative environmental quality and ten selected birth defects in Texas.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 113(2): 161-172, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518475",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-02",
      "references": [
        "https://doi.org/10.1002/bdr2.1788"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using western mosquitofish (Gambusia affinis) as a model",
      "description": "Predictive models and frameworks for linking inhibition of the enzyme aromatase, as measured in non-animal high throughput screening assays, to adverse effects on reproduction in fish have been established. However, those models were established using data from several fish species commonly reared in the laboratory that employ a particular reproductive strategy involving asynchronous oocyte development and repeat spawning. Many fish species employ synchronous oocyte development and spawn annually. This product was intended to help address the question of whether the current approaches for predicting impacts of aromatase inhibitors are applicable to fish with a synchronous/annual spawning reproduction strategy. The study establishes the mosquitofish as a viable laboratory model with synchronous oocyte development and provides preliminary evidence that exposure to aromatase inhibitors during a critical period of the reproductive cycle can lead to adverse effects on fish reproduction. \n\nThis dataset provides all the data used to generate the tables and figures presented in Doering et al. \"Assessing reproductive effects of aromatase inhibition on fishes with group-synchronous oocyte development using Western Mosquitofish (Gambusia affinis) as a model.\"  Data are organized as separate tabs in an Excel spreadsheet with a cover sheet, followed by a separate tab for each Figure and Table from the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520452",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Doering et al mosquitofish ScienceHub File_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520452/Doering%20et%20al%20mosquitofish%20ScienceHub%20File_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033364: Identification of Novel Activators of the Metal Responsive Transcription Factor (MTF-1) Using a Gene Expression Biomarker in a Microarray Compendium",
      "description": "The microarray experiments examined in the study. \n\nThis dataset is associated with the following publication:\nJackson, A., J. Liu, B. Vallanat, C. Jones, M. Nelms, G. Patlewicz, and J. Corton. Identification of Novel Activators of the Metal Responsive Transcription Factor (MTF-1) Using a Gene Expression Biomarker in a Microarray Compendium.   Metallomics. Royal Society of Chemistry, London,  UK, 12(9): 1400-1415, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504417",
      "keyword": [
        "transcript profiling",
        "High throughput screening",
        "metals",
        "toxicogenomics",
        "metal-responsive transcription factor-1",
        "oxidative stress",
        "Nrf2"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-893g.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504417/Data%20submission%20for%20A-893g.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-11",
      "references": [
        "https://doi.org/10.1039/d0mt00071j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033373: Gene Expression Thresholds Are Predictive of Rat Liver Tumorigens in Short-Term Assays",
      "description": "The microarray experiments used in the study. \n\nThis dataset is associated with the following publication:\nHill, T., J. Rooney, J. Abedini, H. El-Masri, C. Wood, and J. Corton. Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  177(1): 41-59, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504426",
      "keyword": [
        "liver",
        "toxicogenomics",
        "cancer",
        "thresholds",
        "molecular initiating event",
        "adverse outcome pathway"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-xsk0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504426/Data%20submission%20for%20A-xsk0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa102"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RECAP dataset: Subject, exposure, and health endpoint (blood, lipids, cardiac, and lung) data",
      "description": "This dataset contains deidentified subject level data from the study titled: Responses to Exposure to Low Levels of Concentrated Ambient Particles in Healthy Young Adults (RECAP). Subject, exposure, and health endpoint data are included in the dataset. Health endpoint data includes inflammatory, heart rate variability and cardiac repolarization, lung function, blood chemistry, and lipids measures. \n\nThis dataset is associated with the following publication:\nWyatt, L., R. Devlin, A. Rappold, and M. Case. Low levels of fine particulate matter increase vascular damage and reduce pulmonary function in young healthy adults.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 17(1): 58, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518774",
      "keyword": [
        "controlled human exposure",
        "particulate matter air pollution"
      ],
      "contactPoint": {
        "fn": "Lauren Wyatt",
        "hasEmail": "mailto:wyatt.lauren@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_RECAP_deidentified.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518774/ScienceHub_RECAP_deidentified.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-21",
      "references": [
        "https://doi.org/10.1186/s12989-020-00389-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ConleyJustin_A-b5mz_Dataset_20201021",
      "description": "This dataset is limited to the human counting values of multinucleated germ cells in treatment-blinded images of rat fetal testes conducted by EPA researcher Justin Conley for comparison by collaborators at Brown University to germ cell counts made using an automated method created by the collaborators. \n\nThis dataset is associated with the following publication:\nBell, S., A. Zsom, J. Conley, and D. Spade. Automated identification of multinucleated germ cells with U-Net.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(7): e0229967, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520770",
      "keyword": [
        "Phthalates",
        "male reproductive development",
        "testis pathology",
        "automated high throughput methods"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "ConleyJustin_A-b5mz_Dataset_20201021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520770/ConleyJustin_A-b5mz_Dataset_20201021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-09",
      "references": [
        "https://doi.org/10.1371/journal.pone.0229967"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520770/documents/ConleyJustin_A-b5mz_Dataset_Dictionary_20201021.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "EPIC/MODIS LAI Comparison Data",
      "description": "This zip file contains the underlying data used to create all tables and figures within the manuscript. \n\nThis dataset is associated with the following publication:\nIiames, J., E. Cooter, D. Pilant, and Y. Shao. Comparison of EPIC-simulated and MODIS-derived Leaf Area Index (LAI) across multiple spatial scales.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(17): 2764, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517788",
      "keyword": [
        "MODIS",
        "LAI",
        "leaf area index",
        "EPIC",
        "Environmental Policy Integrate Climate"
      ],
      "contactPoint": {
        "fn": "John Iiames",
        "hasEmail": "mailto:iiames.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Figures.Tables.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517788/Data_Figures.Tables.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-20",
      "references": [
        "https://doi.org/10.3390/rs12172764"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparative toxicity of microcystin congeners in mice exposed by the oral route",
      "description": "Physical and serum chemistry effects in mice due to a single oral dose of ten microcystin congeners at a variety of dose levels to determine health effects and a no observable effect level. \n\nThis dataset is associated with the following publications:\nChernoff, N. Comparative toxicology of microcystin congeners. U.S. Environmental Protection Agency, Washington, DC, USA.\nChernoff, N., D. Hill, J. Schmid, J. Lang, T. Le, A. Farthing, and H. Huang. The comparative toxicity of ten microcystin congeners administered orally to mice: Clinical effects and organ toxicity..   Toxins. MDPI AG, Basel,  SWITZERLAND, 12(6): 403, (2020).\nChernoff, N., D. Hill, J. Schmid, J. Lang, A. Farthing, and H. Huang. Dose-response study of microcystin congeners MCLR, MCLA, MCLY, MCRR, and MCYR administered orally to mice.   Toxins. MDPI AG, Basel,  SWITZERLAND, 13(2): 86, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519315",
      "keyword": [
        "cyanobacterial toxin",
        "microcystins",
        "toxicology",
        "in vivo data",
        "NOAEL"
      ],
      "contactPoint": {
        "fn": "Neil Chernoff",
        "hasEmail": "mailto:chernoff.neil@epa.gov"
      },
      "distribution": [
        {
          "title": "MC Congener PO Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519315/MC%20Congener%20PO%20Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-20",
      "references": [
        "https://doi.org/10.3390/toxins12060403",
        "https://doi.org/10.3390/toxins13020086"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519315/documents/Data%20dictionary%20for%20MC%20Congener%20PO%20metadata.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Final Prenatal Dataset",
      "description": "Full data tables presented in the Supplemental Information in Excel format. \n\nThis dataset is associated with the following publication:\nNilsen, F., J. Frank, and N. Tulve. A systematic review and meta-analysis investigating the relationship between exposures to chemical and non-chemical stressors during prenatal development and childhood externalizing behaviors.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 17(7): 2361, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520131",
      "keyword": [
        "children",
        "gestational",
        "mental health",
        "cortisol",
        "psychosocial",
        "well-being"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mdpi.com/1660-4601/17/7/2361",
          "accessURL": "https://www.mdpi.com/1660-4601/17/7/2361",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Final Prenatal Exposure Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520131/Final%20Prenatal%20Exposure%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-19",
      "references": [
        "https://doi.org/10.3390/ijerph17072361"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SMPSS GI Assessment",
      "description": "Green infrastructure (GI) is widely recognized for reducing risk of flooding, improving water quality, and harvesting stormwater for potential future use.  GI can be an important part of a strategy used in urban planning to enhance sustainable development and urban resilience.  However, existing literature lacks a comprehensive assessment framework to evaluate GI performance in terms of promoting ecosystem functions and services for social-ecological system resilience.  We propose a scenario-based planning support system to assess the capacity of urban resilience by using a robust indicator set consisting of quantitative and qualitative measurements.  Green Infrastructure in Urban Resilience Planning Support System (GIUR-PSS) supports decision-making for GI planning through scenario comparisons with the urban resilience capacity index.  To demonstrate GIUR-PSS, we developed five scenarios for the Congress Run sub-watershed (Mill Creek watershed, Ohio, USA) to test common types of GI (rain barrels, rain gardens, detention basins, porous pavement, and open space).  Results show the open space scenario achieves the overall highest performance (GI Urban Resilience Index = 4.27/5).  To implement the open space scenario in our urban demonstration site, suitable vacant lots could be converted to greenspace (e.g., forest, detention basins, and low-impact recreation areas). GIUR-PSS is easy to replicate, customize, and apply to cities of different sizes to assess environmental, economic, and social benefits provided by different types of GI installations.\n\nAdditional data described in the manuscript are available through identified data sources indicated therein. \n\nThis dataset is associated with the following publication:\nFu, X., M. Hopton, and X. Wang. Assessment of green infrastructure performance through an urban resilience lens.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 289: 125146, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519010",
      "keyword": [
        "Green Infrastructure",
        "scenario planning",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "F-B-indicators survey results v5 anon.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519010/F-B-indicators%20survey%20results%20v5%20anon.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FuzzyMembership.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519010/FuzzyMembership.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-31",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2020.125146"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Placenta ScienceHub Data (version 1)",
      "description": "Data relative to the paper entitled \" Ozone-induced fetal growth restriction in rats is associated with sexually dimorphic placental and fetal metabolic adaptation.\". \n\nThis dataset is associated with the following publication:\nMiller, C., J. Dye, A. Henriquez, E. Stewart, K. Lavrich, G. Carswell, H. Ren, D. Freeborn, S. Snow, M.C. Schladweiler, J. Richards, P.R. Kodavanti, A. Fisher, B. Chorley, and U. Kodavanti. Ozone-induced fetal growth restriction in rats is associated with sexually dimorphic placental and fetal metabolic adaptation..   Molecular Metabolism. Elsevier B.V., Amsterdam,  NETHERLANDS, 20(42): 101094, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520047",
      "keyword": [
        "Ozone",
        "intrauterine growth restriction",
        "children's health",
        "Metabolism"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE156859",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE156859",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Placenta ScienceHub Data (version 1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520047/Placenta%20ScienceHub%20Data%20%28version%201%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-05",
      "references": [
        "https://doi.org/10.1016/j.molmet.2020.101094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diet-O3-MS data",
      "description": "Dataset for a study examining the cardiovascular effects from acute ozone exposure in rats fed with fish oil or olive oil diets. \n\nThis dataset is associated with the following publication:\nTong, H., S. Snow, M.C. Schladweiler, G. Carswell, B. Chorley, and U. Kodavanti. Fish Oil and Olive Oil-Enriched Diets Alleviate Acute Ozone-induced Cardiovascular Effects in Rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 409: 115296, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520161",
      "keyword": [
        "diet",
        "Ozone",
        "fish oil",
        "olive oil",
        "cardiovascular effects"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "Diet-O3-MS data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520161/Diet-O3-MS%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-27",
      "references": [
        "https://doi.org/10.1016/j.taap.2020.115296"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Clean Air Status and Trends Network (CASTNET) Hourly Ozone Concentrations",
      "description": "Ground-level ozone is measured at CASTNET sites following the guidelines in 40 Code of Federal Regulations (CFR) Parts 50 and 58. Continuous measurements are averaged to hourly concentrations. Data are reported to AirNow and EPA's Air Quality System (AQS) database routinely. There are more than 80 CASTNET sites reporting hourly ozone concentrations throughout the United States. Site location information is included with this dataset. The QAPP and associated SOPs can be found on the CASTNET website: www.epa.gov/castnet/documents-reports. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520792",
      "keyword": [
        "Clean Air Status and Trends Network (CASTNET)",
        "air quality",
        "ozone concentrations",
        "national ambient air quality standards"
      ],
      "contactPoint": {
        "fn": "Melissa Puchalski",
        "hasEmail": "mailto:puchalski.melissa@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/ozone.zip",
          "accessURL": "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/ozone.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-15",
      "references": [
        "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/site.zip",
        "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/gas_calibration_web.zip"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-0zpn_dataset_20210203.xlsx",
      "description": "Data corresponding to graphs in the conference proceedings.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520756",
      "keyword": [
        "dirty bomb",
        "IWATERS",
        "waste water",
        "Decontamination",
        "cesium",
        "radiological"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-0zpn_dataset_20210203.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520756/MagnusonMatthew_A-0zpn_dataset_20210203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dry Dep Report Summary - 20190909 - NI42 (GOM Four Corners Data After Emissions Reductions)",
      "description": "Smooth-edge surrogate surface passive sampling was again employed to measure Gaseous Oxidized Mercury (GOM) dry deposition during contiguous two-week integrated time periods from August 1, 2017-August 1, 2019.  Dry deposition of GOM was monitored at six sites in the Four Corners area. \n\nThis dataset is associated with the following publication:\nSather, M., S. Mukerjee, L. Smith, J. Mathew, C. Jackson, and M. Flournoy. Gaseous Oxidized Mercury Dry Deposition Measurements in the Four Corners Area, U.S.A., after Large Power Plant Mercury Emission Reductions.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 12(1): 148-158, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518678",
      "keyword": [
        "air pollution",
        "Arid Area",
        "Gaseous Oxidized Mercury",
        "Dry Deposition",
        "Surrogate Surface Passive Sampling"
      ],
      "contactPoint": {
        "fn": "Shaibal Mukerjee",
        "hasEmail": "mailto:mukerjee.shaibal@epa.gov"
      },
      "distribution": [
        {
          "title": "Dry Dep Report Summary - 20190909 - NI42.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518678/Dry%20Dep%20Report%20Summary%20-%2020190909%20-%20NI42.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-09",
      "references": [
        "https://doi.org/10.1016/j.apr.2020.08.030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Final_Wildland_Fire_Sensor_Challenge_Public_Data",
      "description": "Wildland Fire Sensor Challenge Solver sensor system measurements and EPA reference method measurements (PM2.5, carbon monoxide, carbon dioxide, ozone) from Phase I EPA research chamber (Chapel Hill, NC) and Phase II U.S. Forest Service (Missoula, MT) combustion chamber testing. \n\nThis dataset is associated with the following publication:\nLandis, M., R. Long, J.D. Krug, M. Colon, R. Vanderpool, A. Habel, and S. Urbanski. The U.S. EPA Wildland Fire Sensor Challenge: Performance and Evaluation of Solver Submitted Multi-Pollutant Sensor Systems.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: NA, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519318",
      "keyword": [
        "wildland fire smoke",
        "sensor performance",
        "particulate matter",
        "carbon monoxide",
        "carbon dioxide",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Final_phase_II_public_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519318/Final_phase_II_public_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Final_phase_I_public_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519318/Final_phase_I_public_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-02",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2020.118165"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Augustine, S. (2019). Data for Boquerón Beach, Puerto Rico immunoconversion study [Data set]. U.S. EPA Office of Research and Development (ORD). https://doi.org/10.23719/1503882",
      "description": "Augustine, S. (2019). Data for Boquerón Beach, Puerto Rico immunoconversion study [Data set]. U.S. EPA Office of Research and Development (ORD). https://doi.org/10.23719/1503882\n\nAugustine, S. (2018). Data for Boquerón Beach, PR immunoprevalence study [Data set]. U.S. EPA Office of Research and Development (ORD). https://doi.org/10.23719/1390125. \n\nThis dataset is associated with the following publication:\nAugustine, S., T. Eason, K. Simmons, S. Griffin, C. Curioso, M. Ramudit, E. Sams, K. Oshima, A. Dufour, and T. Wade. Rapid Salivary IgG Antibody Screening for Hepatitis A.   JOURNAL OF CLINICAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 58(10): e00358-20, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520768",
      "keyword": [
        "saliva",
        "salivary antibodies",
        "multiplex immunoassay",
        "immunoprevalence",
        "immunoconversions",
        "coinfections",
        "asymptomatic infections",
        "rapid antibody screening tools",
        "public health surviellance",
        "environmental exposures",
        "waterborne infection",
        "waterborne pathogens",
        "cytokines",
        "chemokines"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1503882",
          "accessURL": "https://doi.org/10.23719/1503882",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1503882",
          "accessURL": "https://doi.org/10.23719/1503882",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Journal of Clinical Microbiology-2020-Augustine-JCM.00358-20.full.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520768/Journal%20of%20Clinical%20Microbiology-2020-Augustine-JCM.00358-20.full.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-09",
      "references": [
        "https://doi.org/10.1128/jcm.00358-20"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://sciencehub.epa.gov/sciencehub/distribution/3921/download"
      },
      "accessRights": "public"
    },
    {
      "title": "Augustine, S. (2018). Data for Boquerón Beach, PR immunoprevalence study [Data set]. U.S. EPA Office of Research and Development (ORD). https://doi.org/10.23719/1390125 ",
      "description": "Augustine, S. (2018). Data for Boquerón Beach, PR immunoprevalence study [Data set]. U.S. EPA Office of Research and Development (ORD). https://doi.org/10.23719/1390125. \n\nThis dataset is associated with the following publications:\nAugustine, S., K. Simmons, T. Eason, C. Curioso, S. Griffin, T. Wade, A. Dufour, S. Fout, A. Grimm, K. Oshima, E. Sams, M. See, and L. Wymer. Immunoprevalence to Six Waterborne Pathogens in Beachgoers at Boquerón Beach, Puerto Rico: Application of a Microsphere-Based Salivary Antibody Multiplex Immunoassay.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 5(84): 1-11, (2017).\nAugustine, S., T. Eason, K. Simmons, S. Griffin, C. Curioso, M. Ramudit, E. Sams, K. Oshima, A. Dufour, and T. Wade. Rapid Salivary IgG Antibody Screening for Hepatitis A.   JOURNAL OF CLINICAL MICROBIOLOGY. American Society for Microbiology, Washington, DC, USA, 58(10): e00358-20, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "A-3bkd-2999",
      "keyword": [
        "saliva",
        "salivary antibodies",
        "multiplex immunoassay",
        "immunoprevalence",
        "immunoconversions",
        "coinfections",
        "asymptomatic infections",
        "rapid antibody screening tools",
        "public health surviellance",
        "environmental exposures",
        "waterborne infection",
        "waterborne pathogens",
        "cytokines",
        "chemokines"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1390125",
          "accessURL": "https://doi.org/10.23719/1390125",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "05-01-2017 Frontiers article published.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/2999/05-01-2017%20Frontiers%20article%20published.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-09",
      "references": [
        "https://doi.org/10.3389/fpubh.2017.00084",
        "https://doi.org/10.1128/jcm.00358-20"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://sciencehub.epa.gov/sciencehub/distribution/864/download"
      },
      "accessRights": "public"
    },
    {
      "title": "NaHRSI Scored Results",
      "description": "Domains, Indicators and Metrics of NaHRSI and CRSI. \n\nThis dataset is associated with the following publication:\nSummers, K., L. Harwell, K. Buck, L. Smith, J. Harvey, D. Vivian, J. Bousquin, M. McLaughlin, and S. Hafner. Development of a Climate Resilience Screening Index (CRSI): An Assessment of Resilience to Acute Meteorological Events and Selected Natural Hazards. U.S. Environmental Protection Agency, Washington, DC, USA, 2017.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503667",
      "keyword": [
        "CRSI",
        "NaHRSI",
        "recovery",
        "resilience",
        "Vulnerability",
        "natural hazards."
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "Summers_etal_GeoHealth2_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503667/Summers_etal_GeoHealth2_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-28",
      "references": [
        "https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100SSN6.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Connecting Channels 2014 - 2015 Water Quality Data - 8/15/2018",
      "description": "These results include water chemistry data collected in the St. Marys River and Huron-Erie Corridor in 2014 - 2016. \n\nThis dataset is associated with the following publication:\nWick, M., T. Angradi, M. Pawlowski, D. Bolgrien, J. Launspach, J. Kiddon, and M. Nord. A synoptic assessment of water quality in two Great Lakes connecting channels.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(5): 901-911, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502555",
      "keyword": [
        "Laurentian Great Lakes",
        "St. Marys River",
        "Huron-Erie Corridor",
        "water quality",
        "ecosystem assessment"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "ConnectingChannelsWQdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502555/ConnectingChannelsWQdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-15",
      "references": [
        "https://doi.org/10.1016/j.jglr.2019.08.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Alginate Immobilization of Metabolic Enzymes (AIME) Platform Retrofits an Estrogen Receptor Transactivation Assay with Metabolic Competence",
      "description": "The objective of this study was to develop an approach to retrofit existing HTS assays with hepatic metabolism. The Alginate Immobilization of Metabolic Enzymes (AIME) platform encapsulates hepatic S9 fractions in alginate microspheres attached to 96-well peg lids. Functional characterization across a panel of reference substrates for phase I cytochrome P450 enzymes revealed substrate depletion with expected metabolite accumulation. Performance of the AIME method in the VM7Luc estrogen receptor (ER) transactivation assay was evaluated across 15 reference chemicals and 48 test chemicals that yield metabolites previously identified as ER active or inactive. \n\nThis dataset is associated with the following publication:\nDeisenroth, C., D. DeGroot, T. Zurlinden, A. Eicher, J. McCord, M. Lee, P. Carmichael, and R. Thomas. The Alginate Immobilization of Metabolic Enzymes Platform Retrofits an Estrogen Receptor Transactivation Assay with Metabolic Competence.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  178(2): 281-301, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518903",
      "keyword": [
        "high-throughput screening",
        "xenobiotic metabolism",
        "estrogen receptor",
        "endocrine toxicology"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.r2280gbb7",
          "accessURL": "https://doi.org/10.5061/dryad.r2280gbb7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-24",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa147"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF",
      "description": "This study determines the exfiltration rates in six tree boxes and analyzes their performance over time. The study site is in Louisville, KY, where we monitored the performance of six tree boxes and other stormwater control measures (SCMs).  Each tree box is 1.5 m wide, 1.5 m long, and 1.8 m deep.  Street and parking lot runoff enters tree boxes though a curb cut. A 46-cm diameter shaft was drilled at the bottom of each tree box to reach the underlying permeable soil layer.  A pressure transducer installed at the bottom of the shaft measured the water level depth and water temperature. From the water level data, the exfiltration rate of six tree boxes was calculated for 121 rain events.  For each rain event the exfiltration rate was calculated at different water levels inside the shaft. The effects of water level inside the shaft, temperature, and age on the exfiltration rate were analyzed. Exfiltration rate increased with water level and exfiltration rate in first year is significantly larger than second year. Overall in second year the decrease in geometric mean exfiltration rate was largest for moderate depth. The exfiltration rate of the tree boxes is significantly larger for warmer rain events and significantly smaller for cooler rain events. This paper highlights the use of continuous two years’ water level monitoring data to quantify the potential for local recharge via exfiltration, and the effect of different parameter on the exfiltration rate of six tree boxes. \n\nThis dataset is associated with the following publication:\nAhmed, F., and M. Borst. TREE BOX PERFORMANCE IN EXFILTRATING STORMWATER RUNOFF.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 92(1): 106-114, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407665",
      "keyword": [
        "Exfiltration",
        "Pressure transducer",
        "Seasonal effect",
        "Stormwater control measure"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw data for all tree boxes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407665/Raw%20data%20for%20all%20tree%20boxes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-05-31",
      "references": [
        "https://doi.org/10.1002/wer.1189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Web-based Tool of The Non-potable Environmental and Economic Water Reuse Calculator (NEWR) ",
      "description": "The methods and resource of the dataset",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520873",
      "keyword": [
        "nonpotable water",
        "Graywater reuse",
        "rainwater harvesting",
        "AC Condensate Harvesting",
        "wastewater reuse",
        "Life cycle assessment (LCA)",
        "Life Cycle Cost",
        "greywater reuse"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/water-research/onsite-non-potable-water-reuse-research",
          "accessURL": "https://www.epa.gov/water-research/onsite-non-potable-water-reuse-research",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "THI dataset for ScienceHubJSerrano",
      "description": "Thiacloprid (THI) is a neonicotinoid insecticide of interest to the USEPA due to its low absorption by crops, greater distribution into the surrounding areas, and potential for adverse effect to terrestrial and aquatic organisms. Prior to this report, there was very limited information addressing the ex vivo metabolism of THI by fish species and the metabolic pathways regulating its potential adverse effects. The in vitro and ex vivo biotransformation pathway of THI is defined by the formation of three primary metabolites (TM1, TM2 and TM3) via separate paths differentiated by reductive decyanation, reductive dechlorination with hydration and dealkylation processes, respectively. Kinetic rates were calculated for the rat microsomal decyanation of THI into TM1 (Km=299.2 µM and Vmax=5.3 pmol/min/mg), and for the dealkylation of THI into TM3 (Km=368.9 µM µM and Vmax=3.95 pmol/min/mg). Formation confirmation and identity inference of THI metabolites in absence of standards was achieved by LC-UV and High Resolution-MS strategies. It was concluded that the in vitro and ex vivo metabolic products of THI are conserved both across species (rat and RBT) and levels of biological organization (microsomes and liver slices), as previously reported for the neonicotinoid insecticides Imidacloprid and Acetamiprid. \n\nThis dataset is associated with the following publication:\nSerrano, J., R. Kolanczyk, B. Blackwell, B. Sheedy, and M. Tapper. In vitro metabolism assessment of thiacloprid in rainbow trout and rat by LC-UV and high resolution-mass spectrometry.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 51(5): 536-548, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518527",
      "keyword": [
        "neonicotinoids",
        "thiacloprid",
        "in vitro/ex vivo metabolism",
        "precision-cut slices",
        "microsomal fraction",
        "rainbow trout",
        "Rat",
        "HPLC-HR MS"
      ],
      "contactPoint": {
        "fn": "Jose Serrano",
        "hasEmail": "mailto:serrano.jose@epa.gov"
      },
      "distribution": [
        {
          "title": "THI dataset for ScienceHubJSerrano.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518527/THI%20dataset%20for%20ScienceHubJSerrano.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-24",
      "references": [
        "https://doi.org/10.1080/00498254.2020.1840658"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Mining Applied to Life Cycle Inventory Modeling for Cumene and Sodium Hydroxide Manufacturing, Version 1, 09/2018",
      "description": "This file contains the life cycle inventories (LCIs) developed for an associated journal article. Potential users of the data are referred to the journal article for a full description of the modeling methodology. LCIs were developed for cumene and sodium hydroxide manufacturing using data mining with metadata-based data preprocessing. The inventory data were collected from US EPA's 2012 Chemical Data Reporting database, 2011 National Emissions Inventory, 2011 Toxics Release Inventory, 2011 Electronic Greenhouse Gas Reporting Tool, 2011 Discharge Monitoring Report, and the 2011 Biennial Report generated from the RCRAinfo hazardous waste tracking system. \n\nThe U.S. average cumene gate-to-gate inventories are provided without (baseline) and with process allocation applied using metadata-based filtering. In 2011, there were 8 facilities reporting public production volumes of cumene in the U.S., totaling to 2,609,309,687 kilograms of cumene produced that year.\n\nThe U.S. average sodium hydroxide gate-to-gate inventories are also provided without (baseline) and with process allocation applied using metadata-based filtering. In 2011, there were 24 facilities reporting public production volumes of sodium hydroxide in the U.S., totaling to 3,878,021,614 kilograms of sodium hydroxide produced that year. Process allocation was only conducted for the top 12 facilities producing sodium hydroxide, which represents 97% of the public production of sodium hydroxide.\n\nThe data have not been compiled in the formal Federal Commons LCI Template to avoid users interpreting the template to mean the data have been fully reviewed according to LCA standards and can be directly applied to all types of assessments and decision needs without additional review by industry and potential stakeholders. \n\nThis dataset is associated with the following publication:\nMeyer, D.E., S. Cashman, and A. Gaglione. Improving the reliability of chemical manufacturing life cycle inventory constructed using secondary data.   JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA, 25(1): 20-35, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503030",
      "keyword": [
        "metadata filtering",
        "cumene",
        "sodium hydroxide",
        "life cycle assessment",
        "life cycle inventory",
        "data mining",
        "chemical manufacturing"
      ],
      "contactPoint": {
        "fn": "David Meyer",
        "hasEmail": "mailto:meyer.david@epa.gov"
      },
      "distribution": [
        {
          "title": "MeyerEtAl_DataMining_CaseStudyInventories.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503030/MeyerEtAl_DataMining_CaseStudyInventories.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-19",
      "references": [
        "https://doi.org/10.1111/jiec.13044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NOAA Data",
      "description": "Data owner is Sachidananda Mishra (sachi.mishra@noaa.gov) and Richard Stumpf at NOAA. This dataset is not publicly accessible because: Data is property of NOAA. It can be accessed through the following means: Sachidananda Mishra (sachi.mishra@noaa.gov) and Richard Stumpf at NOAA. Format: Data is raster format and table format. \n\nThis dataset is associated with the following publication:\nMishra, S., R. Stumpf, B. Schaeffer, J. Werdell, K. Loftin, and A. Meredith. Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 774: 145462, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519418",
      "keyword": [
        "satellite",
        "cyanobacteria",
        "harmful algae",
        "toxin",
        "water quality",
        "health"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145462"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Brumfield et al 20xx_Data Set",
      "description": "Log10 fecal score ratios for eligible microbial source tracking qPCR assays. \n\nThis dataset is associated with the following publication:\nBrumfield, K.D., J.A. Cotruvo, O. Shanks, M. Sivaganesan, J. Hey, N.A. Hasan, A. Huq, R.R. Colwell, and M.B. Leddy. Metagenomic Sequencing and Quantitative Real-Time PCR for Fecal Pollution Assessment in an Urban Watershed.   Frontiers in Water. Frontiers, Lausanne,  SWITZERLAND, 3: 626849, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519140",
      "keyword": [
        "metagenomics",
        "fecal indicator bacteria",
        "Microbial Source Tracking",
        "qPCR",
        "stormwater"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Brumfield et al 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519140/Brumfield%20et%20al%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-25",
      "references": [
        "https://doi.org/10.3389/frwa.2021.626849"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Tox21 10K Compound Library: Part 1 - Collaborative chemistry advancing toxicology",
      "description": "Table S1: Tox21 IDs mapped to NCGC IDs, PubChem IDs, and DSSTox IDs, and indicating NCATS, NTP and EPA partner library associations (date stamped February 24, 2020). Table S2: DSSTox TOX21SL list of substance IDs and structure formula, molecular weight, SMILES, InChI, and QSAR-ready SMILES (downloaded January 24, 2020). Table S3: DSSTox TOX21SL DTXSID overlaps with EPA CompTox Dashboard lists (downloaded January 24, 2020). Table S4: Predicted physicochemical properties and toxicities generated from OPERA, T.E.S.T, CORINA, and Derek Nexus models. Table S5: ToxPrint (V2.0_r711) fingerprint file for the TOX21SL chemical list. Table S6: Chemotype enrichment workflow results generated from binarized activity hit calls for ToxCast and Tox21 assay end points (aeids) obtained from EPA’s public ToxCast database, invitroDBv2. Table S7: Tox21 binarized assay hit call matrix for stereo and salt pairs, extracted from EPA’s public ToxCast database, invitroDBv3. \n\nThis dataset is associated with the following publication:\nRichard, A., R. Huang, S. Waidyanatha, P. Shinn, B.J. Collins, I. Thillainadarajah, C. Grulke, A. Williams, R. Lougee, R. Judson, K. Houck, M.A. Shobair, C. Yang, J.F. Rathman, A. Yasgar, S.C. Fitzpatrick, A. Simeonov, R. Thomas, K.M. Crofton, R.S. Paules, J.R. Bucher, C.P. Austin, R.J. Kavlock, and R.R. Tice. The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 34(2): 189-216, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519349",
      "keyword": [
        "Tox21",
        "cheminformatics",
        "chemotype enrichment",
        "10K library",
        "toxicology",
        "high-throughput screening",
        "qHTS",
        "chemical space",
        "chemical diversity",
        "qsar",
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "SupportingInformation_TablesS1-S7_rev.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519349/SupportingInformation_TablesS1-S7_rev.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-13",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.0c00264"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/CEMM/AESMD to the manuscript \"Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites\"",
      "description": "Files containing daily average NO, NO2, CO, and EC concentrations simulated by WRF/CMAQ at 36 km resolution for the time period 1990 – 2010. These data were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Four decades of United States mobile source pollutants: spatial-temporal trends assessed by ground-based monitors, air quality models, and satellites”. Portions of this dataset are inaccessible because: Data files have now been uploaded. They can be accessed through the following means: Data files have now been uploaded. Format: Data files have now been uploaded. \n\nThis dataset is associated with the following publication:\nHenneman, L., H. Shen, C. Hogrefe, A. Russell, and C. Zigler. Four Decades of United States Mobile Source Pollutants: Spatial–Temporal Trends Assessed by Ground-Based Monitors, Air Quality Models, and Satellites.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 882-892, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520084",
      "keyword": [
        "traffic-related air pollution",
        "CMAQ",
        "remote sensing",
        "Air quality trends"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://drive.google.com/drive/folders/1icGCTT8kFhEzbzIBWtwufeXoJRAHOPWT",
          "accessURL": "https://drive.google.com/drive/folders/1icGCTT8kFhEzbzIBWtwufeXoJRAHOPWT",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hr2day_dailyavg_doe36km_2000_2010.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520084/hr2day_dailyavg_doe36km_2000_2010.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hr2day_dailyavg_doe36km_1990_1999.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520084/hr2day_dailyavg_doe36km_1990_1999.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-30",
      "references": [
        "https://doi.org/10.1021/acs.est.0c07128"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520084/documents/HogrefeChristian_A-98sx_Data_Dictionary_20201223.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of quantitative structure property relationship algorithms for predicting plasma protein binding in humans-UW-QSPR-Supplementary data",
      "description": "Observed fup data obtained from the literature; SMILES structures obtained from Pubchem SDF files. \n\nThis dataset is associated with the following publication:\nYun, Y.E., R. Tornero-Velez, T. Purucker, D. Chang, and A.N. Edginton. Evaluation of Quantitative Structure Property Relationship algorithms for predicting plasma protein binding in humans.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 17: 100142, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520781",
      "keyword": [
        "PubChem",
        "cheminformatics",
        "QSPR",
        "plasma protein binding",
        "Environmentally Relevant"
      ],
      "contactPoint": {
        "fn": "Rogelio Tornero-Velez",
        "hasEmail": "mailto:tornero-velez.rogelio@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplement Data 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520781/Supplement%20Data%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplement Data 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520781/Supplement%20Data%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-27",
      "references": [
        "https://doi.org/10.1016/j.comtox.2020.100142"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Residential Population Generator (RPGen): A tool to parameterize residential, demographic, and physiological data to model intraindividual exposure, dose, and risk",
      "description": "This repository contains scripts, input files, and some example output files for the Residential Population Generator, an R-based tool to generate synthetic human residental populations to use in making estimates of near-field chemical exposures. This tool is most readily adapted for using in the workflow for CHEM, the Combined Human Exposure Model, avaialable in two other GitHub repositories in the HumanExposure project, including ProductUseScheduler and source2dose. CHEM is currently best suited to estimating exposure to product use. Outputs from RPGen are translated into ProductUseScheduler, which with subsequent outputs used in source2dose. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520861",
      "keyword": [
        "PBPK models",
        "exposure and dose models",
        "new approach methodologies",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/HumanExposure/RPGen",
          "accessURL": "https://github.com/HumanExposure/RPGen",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water temperature trends",
      "description": "Water temperature trends. This dataset is not publicly accessible because: Data is the property of HydroShare. It can be accessed through the following means: https://www.hydroshare.org/. Format: CUASHI HydroShare. \n\nThis dataset is associated with the following publication:\nKelleher, C., H. Golden, and S. Archfield. Monthly River Temperature Trends Across the US Confound Annual Changes.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(10): 104006, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520773",
      "keyword": [
        "stream temperature",
        "trends",
        "climate variations",
        "mann-kendall",
        "water quality",
        "river temperature"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2021-02-10",
      "references": [
        "https://doi.org/10.1088/1748-9326/ac2289"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Ebullition dominates methane fluxes from the water surface across different ecohydrological patches in a temperate freshwater marsh",
      "description": "Dataset for Ebullition dominates methane fluxes from the water surface across different ecohydrological patches in a temperate freshwater marsh. This dataset is not publicly accessible because: Data is property of Ohio State University. It can be accessed through the following means: Jorge A. Villa, School of Geosciences. University of Louisiana at Lafayette, Lafayette, LA, 70504, USA. Format: Data will be made available at National estuarine research Centralized Data Management Office (http://cdmo.baruch.sc.edu/get/landing.cfm) and the ESS-DiVE  repository. \n\nThis dataset is associated with the following publication:\nVilla, J.A., Y. Ju, T. Yazbeck, S. Waldo, K.C. Wrighton, and G. Bohrer. Ebullition dominates methane fluxes from the water surface across different ecohydrological patches in a temperate freshwater marsh at the end of the growing season.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 767: 144498, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519408",
      "keyword": [
        "wetland",
        "Methane",
        "GRTS",
        "ebullition"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-09-21",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.144498"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A cross-platform approach to characterize and screen potential neurovascular unit toxicants",
      "description": "Development of the neurovascular unit (NVU) is a complex, multistage process that requires orchestrated cell signaling mechanisms across several cell types and ultimately results in the formation of the blood-brain barrier. Typical high-throughput screening (HTS) assays investigate single biochemical or single cell responses following chemical insult. As the NVU comprises multiple cell types interacting at various stages of development, a methodology for combining high-throughput results across pertinent cell-based assays is needed to investigate potential chemical-induced disruption to the development of this complex cell system. To this end, we developed a novel method for screening putative NVU disruptors across diverse assay platforms to predict chemical perturbation of the developing NVU. Here, HTS assay results measuring chemical-induced perturbations to cellular key events across angiogenic and neurogenic outcomes were combined to create a cell-based prioritization of NVU hazard. Using activity from each biological outcome, chemicals were grouped into similar modes of action and used to train a logistic regression literature model. This model utilizes the chemical-specific pairwise mutual information score for PubMed MeSH annotations to represent how often a chemical was shown to produce a specific outcome in the published literature space. Taken together, this study presents a methodology to investigate NVU developmental hazard using cell-based HTS assays and literature evidence to prioritize screening of putative NVU disruptors. The results from these screening efforts demonstrate how chemicals that represent a range of putative vascular disrupting compound (pVDC) scores based on angiogenic endpoints can also produce effects on neurogenic outcomes such as neurite outgrowth, neuroprogenitor/neural crest migration, representing an additional method for understanding the range of possible modes of action for disruption of the developing NVU. \n\nThis dataset is associated with the following publication:\nZurlinden, T., K. Saili, N. Baker, T. Toimela, T. Heinonen, and T. Knudsen. A cross-platform approach to characterize and screen potential neurovascular unit toxicants.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 96(September 2020): 300-315, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518764",
      "keyword": [
        "high-throughput screening",
        "neurovascular unit",
        "point-wise mutual information",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplWorkbook.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518764/SupplWorkbook.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-01",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2020.06.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Respirometric Screening and Characterization of Mitochondrial Toxicants Within the ToxCast Phase I and II Chemical Libraries",
      "description": "These are the raw data files for TOXSCI manuscript 19-0578 entitled, “Respirometric Screening and Characterization of Mitochondrial Toxicants Within the ToxCast Phase I and II Chemical Libraries”:\nDescription from readme.txt file:\n\n1) sc_seahorse.lvl0.merged.data.csv- contains all mapped raw OCR data from tier 1 single-concentration RSA screening of 1,042 Toxcast Phase I and II chemicals\n\n2) mc_seahorse.lvl0.merged.data.csv- contains all mapped raw OCR data from tier 2 multi-concentration RSA screening of 249 actives from tier 1\n\n3) EFA.lvl0.merged.data.csv- contains all mapped raw OCR data from tier 3 EFA screening of 149 putative electron transport chain inhibitors\n\n4) mc5_mc6_ncct_mito_nov2019.csv- level 5 and 6 outputs from ToxCast pipeline (tcpl) analysis\n\n5) RawMC3_ToxCast_by_aeid.csv- level 3 tcpl outputs for all mitochondrial ToxCast assays\n\n6) RawMC5_ToxCast_by_aeid.csv- level 5 tcpl outputs for all mitochondrial ToxCast assays\n\n7) ref.set.chems.csv- sixty reference chemicals used to compared assay performance\n\n8) study_code.R- R script used to analyze data and generate figures and tables. \n\nThis dataset is associated with the following publication:\nHallinger, D., H. Lindsay, K. Friedman, D. Suarez, and S. Simmons. Respirometric Screening and Characterization of Mitochondrial Toxicants Within the ToxCast Phase I and II Chemical Libraries.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  176(1): 175-192, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504436",
      "keyword": [
        "ToxCast",
        "High throughput screening"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.zkh189367",
          "accessURL": "https://doi.org/10.5061/dryad.zkh189367",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-31",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa059",
        "https://doi.org/10.23645/epacomptox.12123735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biochar 4 Crops",
      "description": "Raw data files for study of the effects of biochar on growth and elemental content of four crops: carrot, lettuce, soybean and sweetcorn.  Plus additional files on biochar and soil characteristics. \n\nThis dataset is associated with the following publications:\nOlszyk, D., T. Shiroyama, J.M. Novak, K.B. Cantrell, G. Sigua, D.W. Watts, and M. Johnson. Biochar affects growth and shoot nitrogen in four crops for two soils.   Agrosystems, Geosciences & Environment. John Wiley & Sons, Inc., Hoboken, NJ, USA,  e20067, (2020).\nOlszyk, D.M., T. Shiroyama, J.M. Novak, K.B. Cantrell, G. Sigua, D.W. Watts, and M.G. Johnson. Biochar Affects Essential Elements of Carrot Taproots and Lettuce Leaves.   HORTSCIENCE. American Society for Horticultural Science,    55(2): 261-271, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503192",
      "keyword": [
        "carrot",
        "lettuce",
        "soybean",
        "sweet corn",
        "feedstock",
        "pyrolysis temperature",
        "plant growth",
        "plant nutrients",
        "biochar",
        "soil",
        "plants",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Corn SH Revised 012920.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Corn%20SH%20Revised%20012920.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Soybean SH Revised 012920.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Soybean%20SH%20Revised%20012920.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biochar Germination Study Biochar pH EC P.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Biochar%20Germination%20Study%20Biochar%20pH%20EC%20P.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Soil Elements Coxville Norfolk for SH 012920.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Soil%20Elements%20Coxville%20Norfolk%20for%20SH%20012920.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Carrot SH Revised 012920.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Carrot%20SH%20Revised%20012920.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lettuce SH 012920.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Lettuce%20SH%20012920.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biochar Chemical Analysis SH Unit Change 012920.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503192/Biochar%20Chemical%20Analysis%20SH%20Unit%20Change%20012920.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-29",
      "references": [
        "https://doi.org/10.1002/agg2.20067",
        "https://doi.org/10.21273/hortsci14421-19"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of wildfire on particulate matter in the southeastern United States in November 2016",
      "description": "a study about wild fire in the US in 2016. This dataset is not publicly accessible because: too large to be uploaded. It can be accessed through the following means: please contact David Wong at wong.david-c@epa.gov. Format: newftp.epa.gov/EPADataCommons/ORD/CEMM-AESMD/DavidWong/July2020. \n\nThis dataset is associated with the following publication:\nGuan, S., D. Wong, Y. Gao, T. Zhang, and G. Pouliot. Impact of wildfire on particulate matter in the southeastern United States in November 2016.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 724(1): 138354, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518723",
      "keyword": [
        "wildfire",
        "pm2.5",
        "Southeastern USA",
        "Aerosol direct effects"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2021-03-03",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.138354"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fates of Nanoparticles in Simulated Gastric Fluid Studied using Single-Particle-Inductively Coupled Plasma-Mass Spectrometry",
      "description": "This study adds to the growing knowledge of the fates of ENPs under conditions that simulate the human stomach. The fates of different nanoparticles after exposure to a simulated human digestion system is highly relevant to understand the impact of ENPs overall as they become more integrated into daily life, potentially resulting in increased exposures. Various factors such as species, size, the concentration of ingested ENPs, and body temperature on the fates of nanoparticles in the human digestion system proved to be varied and complex. This research highlights the need for a better understanding of nanomaterials' properties in the digestive system under other physiologically relevant conditions. This work contributes to an improved understanding of the fates of ENPs in gastric fluid, which gives insights into the gastrointestinal uptake of these ENPs before they enter into the blood circulation and organ systems. It is especially crucial for nanoparticles not completely solubilized in the digestive system's physiological contact time because these ENPs will enter into the other body systems and potentially circulate through the body as particulates. Using this study framework, sequentially studying in other tissues, especially for those ENPs not dissolved in SGF, including Ag-NPs, Au-NPs, and CeO¬2–NPs, would be valuable to evaluate the potential risk of ENPs to human health. This dataset is not publicly accessible because: The research continued, additional papers could be published from this data set. It can be accessed through the following means: Data will be placed in EPA file server. Format: Data is on spreadsheet, which includes dissolution rate of engineered nanoparticles of different particle size in simulated gastric fluid. \n\nThis dataset is associated with the following publication:\nHe, X., H. Zhang, H. Shi, W. Liu, and E. Sahle-Demessie. Fates of Au, Ag, ZnO, and CeO2 Nanoparticles in Simulated Gastric Fluid Studied using Single-Particle-Inductively Coupled Plasma-Mass Spectrometry.   JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY. Elsevier Science Ltd, New York, NY, USA, 31(10): 2180-2190, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520892",
      "keyword": [
        "Nanoparticles",
        "single particle (SP)-ICP-MS",
        "simulated gastric fluid (SGF)",
        "ingestion exposure"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [],
      "modified": "2020-07-21",
      "references": [
        "https://doi.org/10.1021/jasms.0c00278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520892/documents/Data%20Dictionary_FateEngineeredNanoparticlee.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Laboratory Data From Ghana Water Testing for E-coli",
      "description": "There is no dataset uploaded. Data is from a non-EPA source. This dataset is not publicly accessible because: Data is with Lakhdar Boukerrou of the Florida International University, FIU and the Ghana Water Company Limited. It can be accessed through the following means: Email :Lakhdar Boukerrou <lboukerr@fiu.edu> and mark ayertey <markayertey@yahoo.com>. Format: Detection rate for e-coli performed @the Ghana lab",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520515",
      "keyword": [
        "drinking water quality",
        "capacity building",
        "laboratory procedures",
        "water analysis",
        "water utilities",
        "West Africa",
        "Ghana"
      ],
      "contactPoint": {
        "fn": "Julius Enriquez",
        "hasEmail": "mailto:enriquez.julius@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Monoassociation with bacterial isolates reveals the role of colonization, community complexity and abundance on locomotor behavior in larval zebrafish",
      "description": "Across taxa, animals with depleted intestinal microbiomes show disrupted behavioral phenotypes. Axenic (i.e., microbe-free) mice, zebrafish, and fruit flies exhibit increased locomotor behavior, or hyperactivity. The mechanism through which bacteria interact with host cells to trigger normal neurobehavioral development in larval zebrafish is unknown. Here, we monoassociated zebrafish with either one of six different zebrafish-associated bacteria, mixtures of these host-associates, or with an environmental bacterial isolate. We found that while the axenic cohort was hyperactive, monoassociation with three different host-associated bacterial species, as well as with the mixtures, resulted in control-like locomotor behavior. Monoassociation with one host-associate and the environmental isolate resulted in the hyperactive phenotype characteristic of axenic larvae, while monoassociation with two other host-associated bacteria partially blocked this phenotype. Furthermore, we found an intriguing inverse relationship between the total concentration of bacteria per larvae and locomotor behavior. These data support a growing body of evidence that individual species of bacteria can have different effects on host behavior, potentially related to their success at intestinal colonization. Specific to the zebrafish model, our results suggest that differences in the composition of microbes in fish facilities could have profound effects on the outcomes of behavioral and pharmacological studies. \n\nThis dataset is associated with the following publication:\nWeitekamp, C., A. Kvasnicka, S. Keely, N. Brinkman, X. Howey, S. Gaballah, D. Phelps, T. Catron, T. Zurlinden, E. Wheaton, and T. Tal. Monoassociation with bacterial isolates reveals the role of colonization, community complexity and abundance on locomotor behavior in larval zebrafish.   Animal Microbiome. BioMed Central Ltd, London,  UK, 3(12): 1-13, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518372",
      "keyword": [
        "zebrafish",
        "germ-free",
        "microbiome",
        "hyperactivity",
        "locomotor behavior"
      ],
      "contactPoint": {
        "fn": "Chelsea Weitekamp",
        "hasEmail": "mailto:weitekamp.chelsea@epa.gov"
      },
      "distribution": [
        {
          "title": "Monoassociation dataset_20200228.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518372/Monoassociation%20dataset_20200228.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-28",
      "references": [
        "https://doi.org/10.1186/s42523-020-00069-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PHOSPHORUS INVENTORY FOR THE CONTERMINOUS UNITED STATES (2002-2012), updated legacy V2",
      "description": "This dataset contains estimates of phosphorus inputs and outputs for all HUC-8 subbasins across the contiguous United States for the years 2002, 2007, and 2012 as well as estimates of legacy P surplus.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520860",
      "keyword": [
        "phosphorus",
        "fertilizer P",
        "stream water quality",
        "Agriculture",
        "nonpoint source pollution",
        "Point source"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Master_Inventory_Final_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520860/Master_Inventory_Final_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Questionnaire data and results of serum tests, SAFE/NIEHS study",
      "description": "The dataset includes personally identifying data from questionnaires (demographic, socioeconomic, behavioral and health data) as well as results of laboratory tests of serum samples for biomarkers of health and antibody responses to pathogens. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Format: The questionnaire survey and biomarker test data are saved in SAS and Excel databases. \n\nThis dataset is associated with the following publications:\nStyles, J., R. Converse, S. Griffin, T. Wade, E. Klein, L. Nylander-French, J. Stewart, E. Sams, E. Hudgens, and A. Egorov. Human cytomegalovirus infections are associated with elevated biomarkers of vascular injury.   Frontiers in Cellular and Infection Microbiology. Frontiers, Lausanne,  SWITZERLAND, 10: 334, (2020).\nEgorov, A., R. Converse, S. Griffin, J. Styles, E. Sams, E. Hudgens, and T. Wade. Latent Toxoplasma gondii infections are associated with elevated biomarkers of inflammation and vascular injury.   BMC Infectious Diseases. BioMed Central Ltd, London,  UK, 21: 188, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1505444",
      "keyword": [
        "Toxoplasma gondii",
        "allostatic load",
        "vegetated land cover",
        "biomarkers"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-25",
      "references": [
        "https://doi.org/10.3389/fcimb.2020.00334",
        "https://doi.org/10.1186/s12879-021-05882-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sea fog study data",
      "description": "The data includes the input for the WRF-CMAQ coupled model and the model output. This dataset is not publicly accessible because: This study was conduct at the University of Houston. It can be accessed through the following means: Please contact Prof. Yunsoo Choi (ychoi23@central.uh.edu) at the Department of Earth and Atmospheric Sciences, University of Houston to obtain the data. Format: input and output data are in netCDF format. \n\nThis dataset is associated with the following publication:\nJung, J., Y. Choi, D. Wong, D. Nelson, and S. Lee. Journal Of Geophysical Research -Atmospheres, Role of sea fog over the Yellow Sea on air quality with the direct effect of aerosols.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 126(5): e2020JD033498, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519343",
      "keyword": [
        "sea fog",
        "air quality",
        "Aerosol",
        "PM25",
        "direct aerosol effect"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2020-09-10",
      "references": [
        "https://doi.org/10.1029/2020jd033498"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urinary miRNAs measured in rat studies associated with nephron-specific chemical toxicity",
      "description": "Urine samples were derived from a variety of archived industry-led studies, outlined in the dataset. The purpose was to measure a targeted set of miRNA targets that were represented in the Thermo Fisher TLDA A and TLDA B card sets in Figure 2. These case studies were selected due to probable nephrotoxicity, associated with published or internal records. These clinical markers and histopath evidence was included in Table 1 associated dataset. Given specific nephron toxicity, this experiment would determine miRNA candidates that may be specific toxicity biomarkers. This analysis set up the Venn Analysis in Figure 3, which specified candidates for nephron-specific analyses. \n\nThis dataset is associated with the following publication:\nChorley, B., H. Ellinger-Ziegelbauer, M. Tackett, F. Simutis, A. Harrill, J. McDuffie, E. Atabakhsh, R. Nassirpour, L. Whiteley, J. Léonard, G. Carswell, E. Harpur, C. Chen, and J. Gautier. Urinary miRNA Biomarkers of Drug-Induced Kidney Injury and Their Site Specificity Within the Nephron.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  180(1): 1-16, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518921",
      "keyword": [
        "microRNAs",
        "biomarkers",
        "kidney injury",
        "safety assessment"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data associated with Fig 2 and Table 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518921/Data%20associated%20with%20Fig%202%20and%20Table%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Table 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518921/Data%20associated%20with%20Table%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Fig 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518921/Data%20associated%20with%20Fig%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-23",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa181"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measuring microRNAs in LCM-isolated nephron segments to determine region-specific expression",
      "description": "To determine nephron specificity of microRNA expression that may be associated as toxicity biomarker seen in the urine, laser-capture microdissection (LCM) was performed on the 4 major segment of the nephron in control rat samples. These samples were sent to Bayer for candidate digital drop PCR measurements, NIEHS for smallRNA-seq measurements, and Abcam for FirePlex measurements. smallRNA-seq  measurements were used as global assessment of miRNA expression in these segments. FirePlex and ddPCR were used as medium to low number candidate assessments, respectively, of miRNA candidates, based on seq and urine data. \"Data associated with Fig 4\" summarizes the ddPCR findings. \"Data Associated with Figure 5\" and \"Data Associated with Figure 6\" summarize the smallRNA-seq findings. \"Data Associated with Figure 7\" summarize the FirePlex findings. \"Data associated with Figure 8_9\" summarize the correlations of these measurements. The cumlmination of these data determine nephron-specific and enriched expression of miRNAs, that are potential candidates of toxicity markers that could leak into the urine upon chemical exposure. \n\nThis dataset is associated with the following publication:\nChorley, B., H. Ellinger-Ziegelbauer, M. Tackett, F. Simutis, A. Harrill, J. McDuffie, E. Atabakhsh, R. Nassirpour, L. Whiteley, J. Léonard, G. Carswell, E. Harpur, C. Chen, and J. Gautier. Urinary miRNA Biomarkers of Drug-Induced Kidney Injury and Their Site Specificity Within the Nephron.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  180(1): 1-16, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519009",
      "keyword": [
        "RNA-Seq",
        "FirePlex",
        "ddPCR",
        "LCM",
        "microRNAs",
        "biomarkers",
        "kidney injury",
        "safety assessment"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data associated with Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519009/Data%20associated%20with%20Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Figure 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519009/Data%20associated%20with%20Figure%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Figure 6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519009/Data%20associated%20with%20Figure%206.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Figure 8_9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519009/Data%20associated%20with%20Figure%208_9.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data associated with Figure 7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519009/Data%20associated%20with%20Figure%207.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-25",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa181"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RICEWQ_AnnAGNPS_Manuscript_Data ",
      "description": "RICEWQ_AnnAGNPS_Manuscript_Data. \n\nThis dataset is associated with the following publication:\nWang, R., R. Bingner, Y. Yuan, M. Locke, G. Herring, D. Denton, and M. Zhang. Evaluation of thiobencarb runoff from rice farming practices in a California watershed using an integrated RiceWQ-AnnAGNPS system.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 767: 144898, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519268",
      "keyword": [
        "AnnAGNPS",
        "RiceWQ",
        "pesticide modeling",
        "rice field",
        "thiobencarb",
        "model integration"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "RICEWQ_AnnAGNPS_Manuscript_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519268/RICEWQ_AnnAGNPS_Manuscript_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-13",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.144898"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A state-of-the-science review of polychlorinated biphenyl exposures at background levels: relative contributions of exposure routes",
      "description": "Data set resulting from a targeted literature review of PCB concentrations in environmental media, as well as of total PCB dietary intake. Table S1 shows all studies that underwent full-text review (Figure 1). Table S2 shows all included studies and resulting PCB exposure estimates (used to generate Figures 2-4). Table S3 provides the data and analysis used to examine the effect of congener number on diet studies. \n\nThis dataset is associated with the following publication:\nWeitekamp, C., L. Phillips, L. Carlson, N. DeLuca, E. Hubal, and G. Lehmann. A state-of-the-science review of polychlorinated biphenyl exposures at background levels: relative contributions of exposure routes.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 776: 1-8, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1519261",
      "keyword": [
        "Polychlorinated biphenyls (PCBs)",
        "dietary exposure",
        "air pollution exposure"
      ],
      "contactPoint": {
        "fn": "Chelsea Weitekamp",
        "hasEmail": "mailto:weitekamp.chelsea@epa.gov"
      },
      "distribution": [
        {
          "title": "mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519261/mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145912"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CATHGEN Traffic-related air pollution, vascular disease, and epigenetic aging",
      "description": "The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. \n\nThis dataset is associated with the following publication:\nWard-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution.   Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520772",
      "keyword": [
        "air quality",
        "DNA methylation",
        "850k platform"
      ],
      "contactPoint": {
        "fn": "Radhika Dhingra",
        "hasEmail": "mailto:dhingra.radhika@epa.gov"
      },
      "distribution": [],
      "modified": "2020-12-01",
      "references": [
        "https://doi.org/10.18632/aging.202341"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Final Transcripts for River Metrics",
      "description": "Plain text of focus group transcripts. \n\nThis dataset is associated with the following publication:\nWeber , M., and P. Ringold. River metrics by the public, for the public.   PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): e0214986, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503856",
      "keyword": [
        "focus groups",
        "streams",
        "Ecosystem Goods and Services",
        "final ecosystem goods and services"
      ],
      "contactPoint": {
        "fn": "Paul Ringold",
        "hasEmail": "mailto:ringold.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "https://osf.io/7w59g/",
          "accessURL": "https://osf.io/7w59g/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-11",
      "references": [
        "https://doi.org/10.1371/journal.pone.0214986"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex",
      "description": "Due to the increasing diversity of organic contaminants discharged into anoxic water environments, reactivity prediction is necessary for chemical persistence evaluation for water treatment and risk assessment purposes. Almost all quantitative structure activity relationships (QSARs) that describe rates of contaminant transformation apply only to narrowly-defined, relatively homogenous families of reactants (e.g., dechlorination of alkyl halides). In this work, we develop predictive models for abiotic reduction of 60 organic compounds with diverse reducible functional groups, including nitroaromatic compounds (NACs), aliphatic nitro-compounds (ANCs), aromatic N-oxides (ANOs), isoxazoles (ISXs), polyhalogenated alkanes (PHAs), sulfoxides and sulfones (SOs), and others. Rate constants for their reduction were measured using a model reductant system, Fe(II)-tiron. Qualitatively, the rates followed the order NACs > ANOs  ISXs  PHAs > ANCs > SOs. To develop QSARs, both conventional chemical descriptor-based and machine learning (ML)-based approaches were investigated. Conventional univariate QSARs based on a molecular descriptor ELUMO (energy of the lowest-unoccupied molecular orbital) gave good correlations within classes. Multivariate QSARs combining ELUMO with Abraham descriptors for physico-chemical properties gave slightly improved correlations within classes for NCs and NACs, but little improvement in correlation within other classes or among classes. The ML model obtained covers reduction rates for all classes of compounds and all of the conditions studied with the prediction accuracy similar to those of the conventional QSARs for individual classes (r2 = 0.41-0.98 for univariate QSARs, 0.71-0.94 for multivariate QSARs, and 0.83 for the ML model). Both approaches required a scheme for a priori classification of the compounds for model training. This work offers two alternative modelling approaches to comprehensive abiotic reactivity prediction for persistence evaluation of organic compounds in anoxic water environments. \n\nThis dataset is associated with the following publication:\nGao, Y., S. Zhong, T. Torralba-Sanchez, P. Tratnyek, E. Weber, Y. Chen, and H. Zhang. Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 192: 116843, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520719",
      "keyword": [
        "Chemical Transformation Simulator",
        "QSARs",
        "machine learning",
        "abiotic reduction"
      ],
      "contactPoint": {
        "fn": "Eric Weber",
        "hasEmail": "mailto:weber.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Gao_et_al_ReductionRateConstants.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520719/Gao_et_al_ReductionRateConstants.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.116843"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimates of burrowing shrimp densities and habitat area in Yaquina estuary, Oregon, in 2002",
      "description": "Estimates of the abundance and habitat area for two species of burrowing shrimps in Yaquina Bay estuary, Oregon. \n\nThis dataset is associated with the following publication:\nDumbauld, B., L. McCoy, T. DeWitt , and J. Chapman. Estimating long-term trends in populations of two ecosystem engineering burrowing shrimps in Pacific Northwest (USA) estuaries.   HYDROBIOLOGIA. Springer, New York, NY, USA, 848(5): 993-1013, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520875",
      "keyword": [
        "estuary",
        "estuarine ecosystem",
        "nutrient cycling",
        "carbon cycling",
        "benthic invertebrates"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "DeWittTheodore data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520875/DeWittTheodore%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-19",
      "references": [
        "https://doi.org/10.1007/s10750-021-04544-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pacific Northwest Salt Marsh Hydrology Model Dataset",
      "description": "This spreadsheet contains the measured and simulated data used in the manuscript 'A Simple, Dynamic, Hydrological Model for Mesotidal Salt Marshes' by D.E. Marois and H.A. Stecher published in Estuarine, Coastal and Shelf Science, Vol 233 (https://doi.org/10.1016/j.ecss.2019.106486). \n\nThis dataset is associated with the following publication:\nMarois, D., and J. Stecher. A simple, dynamic, hydrological model for mesotidal salt marshes.   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 233: 106486, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502521",
      "keyword": [
        "salt marshes",
        "hydrology model",
        "sea level rise",
        "Pacific Northwest",
        "Estuaries"
      ],
      "contactPoint": {
        "fn": "Darryl Marois",
        "hasEmail": "mailto:marois.darryl@epa.gov"
      },
      "distribution": [
        {
          "title": "Winant MS Data for SchiHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502521/Winant%20MS%20Data%20for%20SchiHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-02",
      "references": [
        "https://doi.org/10.1016/j.ecss.2019.106486"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KodavantiP-Acute_HSAB_AOP_Neurotox_Science Hub Data 090319",
      "description": "Neurotox data on in silico predicted chemicals to cause protein adducts in peripheral neurons.  Includes cytotoxicity (LDH release), changes in neuron network architecture using high content imaging and neurophysiology via microelectrode arrays. \n\nThis dataset is associated with the following publication:\nJohnstone, A., C. Mack, M. Valdez, T. Shafer, D. Herr, P. Kodavanti, and R. Lo Pachin. Acute In Vitro Effects on Embryonic Rat Dorsal Root Ganglion (DRG) Cultures by In Silico Predicted Neurotoxic Chemicals: Evaluations on Cytotoxicity, Neurite Length, and Neurophysiology..   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 69(104989): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504280",
      "keyword": [
        "Dorsal Root Ganglion",
        "Neurite length",
        "AOP",
        "Electrophilicity",
        "Microelectrode array",
        "Neuropathy",
        "cytotoxicity"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "KodavantiP_Acute_HSAB_AOP_Neurotox_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504280/KodavantiP_Acute_HSAB_AOP_Neurotox_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-07",
      "references": [
        "https://doi.org/10.1016/j.tiv.2020.104989"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals",
      "description": "Screening certain environmental chemicals for their ability to interact with endocrine targets, including the androgen receptor (AR), is an important global concern. We previously developed a model using a battery of eleven in vitro AR assays to predict in vivo AR activity. Here we describe a revised mathematical modelling approach that also incorporates data from newly available assays and demonstrate that subsets of assays can provide close to the same level of predictivity. These subset models are evaluated against the full model using 1820 chemicals, as well as in vitro and in vivo reference chemicals from the literature. \n\nThis dataset is associated with the following publication:\nJudson, R., K. Houck, K. Friedman, J. Brown, P. Browne, P. Johnston, D. Close, K. Mansouri, and N. Kleinstreuer. Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 117(November 2020): 104764, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504530",
      "keyword": [
        "alternative testing methods",
        "Androgen receptor",
        "endocrine disruption",
        "in vitro",
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/STAFF/rjudson/publications/Judson%20AR%202019/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/STAFF/rjudson/publications/Judson%20AR%202019/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-18",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2020.104764"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Birth Defect Prevention Study Protocol for Public Access and Data Sharing",
      "description": "Protocol for requesting public access to these data via CDC. This dataset is not publicly accessible because: These data include PII, including residential data and birth date. It can be accessed through the following means: These data may be accessed by following the National Birth Defects Prevention Study (NBDPS) Protocol for Public Access and Data Sharing. Format: The data are maintained in Analytic Files by CDC",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1518896",
      "keyword": [
        "air quality",
        "preterm birth",
        "Fine Particulate Matter",
        "Birth Data"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2014-06-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Toxoplasma gondii, greenspaces and biomarkers of allostatic load",
      "description": "Residential greenness, biomarkers of chronic stress and allostatic load, demographic and health characteristics, and Toxoplasma gondii serostatus data on 300 individuals. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: See above. Format: Data are stored in SAS and MS Excel. \n\nThis dataset is associated with the following publication:\nEgorov, A., R. Converse, S. Griffin, J. Styles, E. Klein, E. Sams, E. Hudgens, and T. Wade. Environmental risk factors for Toxoplasma Gondii infections and the impact of latent infections on allostatic load in residents of\nCentral North Carolina.   BMC Infectious Diseases. BioMed Central Ltd, London,  UK, 18(1): 142, (2018).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1419835",
      "keyword": [
        "Toxoplasma gondii",
        "vegetated land cover",
        "allostatic load",
        "biomarkers"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2018-01-22",
      "references": [
        "https://doi.org/10.1186/s12879-018-3343-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "VT_Irene_highflow_data",
      "description": "The data are species counts by location, as well as other environmental variables for each stream location sampled. \n\nThis dataset is associated with the following publication:\nStamp, J., A. Moore, S. Fiske, J. Gerritsen, B. Bierwagen, and A. Hamilton. Effects of Extreme High Flow Events on Macroinvertebrate Communities in Vermont Streams.   River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 36(9): 1891-1902, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502467",
      "keyword": [
        "biomonitoring",
        "macroinvertebrate communities",
        "flood",
        "extreme flows",
        "macroinvertebrate density",
        "streams",
        "streambed scour",
        "periphyton",
        "substrate",
        "pebble counts",
        "Vermont"
      ],
      "contactPoint": {
        "fn": "Britta Bierwagen",
        "hasEmail": "mailto:bierwagen.britta@epa.gov"
      },
      "distribution": [
        {
          "title": "VT_Irene_20180628.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502467/VT_Irene_20180628.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-27",
      "references": [
        "https://doi.org/10.1002/rra.3713"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Link to supplemental material including all the data needed to replicate the analysis.",
      "description": "This is a link to the supplemental material from the manuscript that includes all of the data and R code needed to replicate the analysis. \n\nThis dataset is associated with the following publication:\nCoffman, E., R. Burnett, and J. Sacks. Quantitative Characterization of Uncertainty in the Concentration Response Relationship between Long-Term PM2.5 Exposure and\nMortality at Low Concentrations.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(16): 10191-10200, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1520934",
      "keyword": [
        "particulate matter",
        "mortality",
        "Uncertainty",
        "concentration-response"
      ],
      "contactPoint": {
        "fn": "Evan Coffman",
        "hasEmail": "mailto:coffman.evan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.0c02770/suppl_file/es0c02770_si_001.pdf",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.0c02770/suppl_file/es0c02770_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-23",
      "references": [
        "https://doi.org/10.1021/acs.est.0c02770"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iron homeostasis with physically active Figure 1A",
      "description": "Impact of repeated physical activity on iron and zinc concentrations the plasma, liver, lung, heart, and skeletal muscle. \n\nThis dataset is associated with the following publication:\nGhio, A., J. Soukup, C. Ghio, J. Richards, M. Schladweiler, S. Snow, and U. Kodavanti. Iron and Zinc homeostasis in female rats with physically active and sedentary lifestyles.   BioMetals. Springer International Publishing AG, Cham (ZG),  SWITZERLAND, 34(1): 97-105, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503731",
      "keyword": [
        "Exercise",
        "iron",
        "zinc",
        "ferritins",
        "liver",
        "muscle"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "exercise and iron figure 2D.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%202D.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "exercise and iron figure 2B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%202B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "exercise and iron figure 2A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%202A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "exercise and iron figure 1B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%201B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "exercise and iron figure 2C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%202C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "exercise and iron figure 1A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503731/exercise%20and%20iron%20figure%201A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-23",
      "references": [
        "https://doi.org/10.1007/s10534-020-00266-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology",
      "description": "A liquid chromatogrpahy mass spectrometry (LC-MS) method was developed for the analysis of 13 endogenous steroids. The method was validated using both fish plasma and fish holding water. The method was applied to the assessment of endocrine disruption by analyzing plasma of fathead minnows exposed to fadrozole, and by analyzing holding water from Japanese medaka exposed to fadrozole. \n\nThis dataset is associated with the following publication:\nBlackwell, B., and G. Ankley. Simultaneous determination of a suite of endogenous steroids by LC-APPI-MS: Application to the identification of endocrine disruptors in aquatic toxicology.   Journal of Chromatography B. Elsevier Science Ltd, New York, NY, USA, 1163: 122513, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519296",
      "keyword": [
        "steroids",
        "endocrine disrupting chemicals",
        "liquid chromatography-mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_steroids APPI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519296/SciHub_steroids%20APPI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1016/j.jchromb.2020.122513"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Iodotyrosine Deiodinase Inhibition Assay: Screening of ToxCast Phase 1_v2, Phase 2, and e1k Chemical Libraries",
      "description": "The excel spreadsheet contains the resultant data from an assay for chemical inhibition of human Iodotyrosine Deiodinase (IYD) enzyme activity screened against the ToxCast Phase 1_v2, Phase 2, and e1k chemical libraries, as well as a few additional target chemicals from ToxCast Phase 3 library or used in assay development. Over 1,800 chemicals were tested in total. This data set includes the list of chemicals tested and the median, minimum, and maximum inhibition produced by each chemical when screened at target high concentration of 200 µM. 154 chemicals were further tested in concentration response, and the median, minimum, and maximum inhibition produced at each concentration for those chemicals are included. A model inhibitor (3-Nitro-L-Tyrosine) was included on each plate as a positive control, with concentration response data for those curves also included in the data set. \n\nThis dataset is associated with the following publication:\nOlker, J., J. Korte, J. Denny, J. Haselman, P. Hartig, M. Cardon, M. Hornung, and S. Degitz. In Vitro Screening for Chemical Inhibition of the Iodide Recycling Enzyme, Iodotyrosine Deiodinase.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY,  71: 105073, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518772",
      "keyword": [
        "iodotyrosine deiodinase",
        "endocrine",
        "thyroid hormone",
        "Chemical Screening",
        "In vitro assay"
      ],
      "contactPoint": {
        "fn": "Jennifer Olker",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Olker_et_al_IYD_in vitro screening_200610.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518772/Olker_et_al_IYD_in%20vitro%20screening_200610.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-10",
      "references": [
        "https://doi.org/10.1016/j.tiv.2020.105073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cormier, S.M., 2017. Dataset for: A Field-based Model of the Relationship Between Extirpation of Salt-intolerant Benthic Invertebrates and Background Conductivity. USEPA Environmental Dataset Gateway.  https://doi.org/10.23719/1371707",
      "description": "Data sets and individual XCD results used to develop the field-based benchmarks are available at the U.S. EPA Environmental Dataset Gateway (https://doi.org/10.23719/1371707) (Cormier, 2017). Data are contained in three zip files. The folder “Biological.zip” contains occurrences of benthic invertebrate genera in 24 state data sets.  This paper uses only the data from West Virginia ecoregions 69 and 70. The folder “Environmental.zip” contains environmental data sorted into 24 data sets. The folder “model.zip” contains the calculated XC95 values, probability of observation plots as generalized additive models, and the cumulative frequency distribution for benthic invertebrate genera from WV69 and 70 plus data sets used to develop other models not discussed in this paper. \n\nA spreadsheet for calculating XC95 values and XCD05 is described in Cormier et al. (2018c). The tools, data sets, example calculations, and example outputs are available online at https://wiley.figshare.com/ieam and https://github.com/smcormier/Biological-Extirpation-Analysis-Tools-BEAT/releases/tag/v.1.0.2. Alternatively, calculation of XC95, GAM plots, XCD05 can be calculated using batch R-code. Similarly, the R-code and data sets are available on GitHub (https://github.com/leppott/XC95).\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518682",
      "keyword": [
        "environmental benchmarks",
        "thresholds",
        "sample size",
        "permutation",
        "field based"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1371707",
          "accessURL": "https://doi.org/10.23719/1371707",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-11-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "De Facto  Water Reuse: Bioassay suite approach delivers depth and breadth in endocrine active compound detection",
      "description": "Although endocrine disrupting compounds have been detected in wastewater and surface waters worldwide using a variety of in vitro effects-based screening tools, e.g. bioassays, few have examined potential attenuation of environmental contaminants by both natural (sorption, degradation, etc.) and anthropogenic (water treatment practices) processes. This study used several bioassays and quantitative chemical analyses to assess residence-time weighted samples at six sites along a river in the northeastern United States beginning upstream from a wastewater treatment plant outfall and proceeding downstream along the stream reach to a drinking water treatment plant. Known steroidal estrogens were quantified and changes in signaling pathway molecular initiating events (activation of estrogen, androgen, glucocorticoid, peroxisome proliferator-activated, pregnane X receptor, and aryl hydrocarbon receptor signaling networks) were identified in water extracts. In initial multi-endpoint assays geographic and receptor-specific endocrine activity patterns in transcription factor signatures and nuclear receptor activation were discovered. In subsequent single endpoint receptor-specific bioassays, estrogen (16 of 18 samples; 0.01 to 28 ng estradiol equivalents [E2Eqs]/L) glucocorticoid (3 of 18 samples; 1.8 to 21 ng dexamethasone equivalents [DexEqs]/L), and androgen (2 of 18 samples; 0.95 to 2.1 ng dihydrotestosterone equivalents [DHTEqs]/L) receptor transcriptional activation occurred above respective assay method detection limits (0.04 ng E2Eqs/L, 1.2 ng DexEqs/L, and 0.77 ng DHTEqs/L) in multiple sampling events. Estrogen activity, the most often detected, correlated well with measured concentrations of known steroidal estrogens (r2 = 0.890). Overall, activity indicative of multiple types of endocrine active compounds was highest in wastewater effluent samples, while activity downstream was progressively lower, and negligible in unfinished treated drinking water. Not only was estrogenic and glucocorticoid activity confirmed in the effluent by utilizing multiple methods concurrently, but other activated signaling networks that historically received less attention (i.e. peroxisome proliferator-activated receptor) were also detected. \n\nThis dataset is associated with the following publication:\nMedlock Kakaley, E., B. Blackwell, M. Cardon, J. Conley, N. Evans, D. Feifarek, E. Furlong, S. Glassmeyer, L. Gray, P. Hartig, D. Kolpin, M. Mills, L. Rosenblum, D. Villeneuve, and V. Wilson. De Facto Water Reuse: Bioassay suite approach delivers depth and breadth in endocrine active compound detection.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 699(134297): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503441",
      "keyword": [
        "source water",
        "wastewater",
        "drinking water",
        "de facto reuse"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "De Facto Water Reuse Bioassay Manuscript Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503441/De%20Facto%20Water%20Reuse%20Bioassay%20Manuscript%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-28",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2019.134297"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503441/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Genome Sequence Data Set02",
      "description": "The Whole Genome Shotgun project has been deposited in DDBJ/ENA/GenBank under the BioProject PRJNA487286 with the following accession numbers CP061840 (chromosome) and CP061841 (plasmid). The raw sequence reads have been submitted to the NCBI SRA under the accession numbers SRR13076822 and SRR13076823. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., L. Boczek, I. Raffenberg, and R. Revetta. Closed Genome and Plasmid Sequences of Legionella pneumophila AW-13-4, Isolated from a Hot Water Loop System of a Large Occupational Building.   Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 10(1): e01276-20, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520777",
      "keyword": [
        "legionella",
        "buildings",
        "waterbiome",
        "Microbial Analysis",
        "Premise Plumbing",
        "drinking water",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/nuccore/CP061840.1/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/nuccore/CP061840.1/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/nuccore/CP061841",
          "accessURL": "https://www.ncbi.nlm.nih.gov/nuccore/CP061841",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/sra/SRR13076822",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra/SRR13076822",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/sra/?term=SRR13076823",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra/?term=SRR13076823",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-21",
      "references": [
        "https://doi.org/10.1128/mra.01276-20"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Burrow Geometry and Hazards: Case Histories of GPR for Mapping Animal Burrows",
      "description": "The data are GPR records. This dataset is not publicly accessible because: lead author has the data. It can be accessed through the following means: via the lead author. Format: Data were no EPA-generated and are with the lead author from Kutztown University, PA. \n\nThis dataset is associated with the following publication:\nSherrod, L., W. Sauck, E. Simpson, D. Werkema, and J. Swiontek. Case Histories of GPR for Animal Burrows Mapping and Geometry.   JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS. Environmental and Engineering Geophysical Society, Denver, CO, USA, 24(1): 1-17, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519287",
      "keyword": [
        "animal burrows",
        "GPR",
        "geophysics",
        "Geometry and Hazards"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [],
      "modified": "2015-07-20",
      "references": [
        "https://www.researchgate.net/publication/333035253_Case_Histories_of_GPR_for_Animal_Burrows_Mapping_and_Geometry"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fractured Rock Geophysics Method Selection Tool Software",
      "description": "This software was developed in collaboration with the USGS. This dataset is not publicly accessible because: Because there is no data. It can be accessed through the following means: NA. Format: No dataset.  This product is software. \n\nThis dataset is associated with the following publication:\nDay-Lewis, F., L. Slater, J. Robinson, C. Johnson, N. Terry, and D. Werkema. An overview of geophysical technologies appropriate for characterization and monitoring at fractured-rock sites.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 204(2): 709-720, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520967",
      "keyword": [
        "geophysics",
        "hydrogeophysics",
        "fractured rock",
        "field methods",
        "characterization"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [],
      "modified": "2017-04-11",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2017.04.033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Case Histories of GPR for Animal Burrows Mapping and Geometry",
      "description": "Geophysical ground penetrating radar data. This dataset is not publicly accessible because: The data is controlled by Kutztown University (PA). It can be accessed through the following means: The first author, Laura Sherrod, can be contactec for access to the data. Format: Geophysical ground penetrating radar data. \n\nThis dataset is associated with the following publication:\nSherrod, L., W. Sauck, E. Simpson, D. Werkema, and J. Swiontek. Case Histories of GPR for Animal Burrows Mapping and Geometry.   JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS. Environmental and Engineering Geophysical Society, Denver, CO, USA, 24(1): 1-17, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520554",
      "keyword": [
        "animal burrows",
        "GPR",
        "geophysics",
        "hazards"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [],
      "modified": "2016-08-01",
      "references": [
        "https://www.researchgate.net/publication/333035253_Case_Histories_of_GPR_for_Animal_Burrows_Mapping_and_Geometry"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Geophysical and hydrological data for Fredericktown, MO proposed landfill site characterization",
      "description": "Geophysical and hydrological data. \n\nThis dataset is associated with the following publication:\nJohnson, C., K. Pappas, E. White, D. Werkema, N. Terry, R. Ford, S. Phillips, K. Limes, and J. Lane Jr. Geophysical Assessment of a Proposed Landfill Site in Fredericktown, Missouri..   FastTIMES. Environmental and Engineering Geophysical Society, Denver, CO, USA, 25(2): 98-106, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518912",
      "keyword": [
        "geophysics",
        "characterization"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/5cb75adfe4b0c3b0065d7c03",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5cb75adfe4b0c3b0065d7c03",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-06-03",
      "references": [
        "https://app.box.com/s/vz5nz4ykrs4fgtjosop0nnbprm1ot51h"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033374: A Gene Expression Biomarker Identifies Chemical Modulators of the Estrogen Receptor α (ERα) in a MCF-7 Microarray Compendium",
      "description": "Microarray experiments examined in the study. \n\nThis dataset is associated with the following publication:\nRooney, J., N. Ryan, J. Liu, R. Houtman, R.  van Beuningen, J. Hsieh, G. Chang, S. Chen, and J. Corton. A Gene Expression Biomarker Identifies Chemical Modulators of Estrogen Receptor α in an MCF-7 Microarray Compendium.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 34(2): 313-329, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504425",
      "keyword": [
        "endocrine disruption transcript profiling",
        "toxicogenomics",
        "estrogen receptor",
        "biomarker"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-d25m.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504425/Data%20submission%20for%20A-d25m.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-09",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.0c00243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Table 4 Sb XANES LCF results",
      "description": "The dataset is a table of linear combination fitting results of antimony speciation showing the percent distribution of antimony species. \n\nThis dataset is associated with the following publication:\nDiquattro, S., P. Castaldi, S. Ritch, A.L. Juhasz, G. Brunetti, K.G. Scheckel, G. Garau, E. Lombi, G. Garaua, and E. Lombib. Insights into the fate of antimony (Sb) in contaminated soils: Ageing influence on Sb mobility, bioavailability, bioaccessibility and speciation.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 770: 145354, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520050",
      "keyword": [
        "Antimony",
        "Ageing",
        "Bioaccessibility Soil",
        "bioavailability",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 4.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520050/Table%204.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-17",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145354"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "datasets for journal article_adapting urban BMPs for resilience",
      "description": "The two excel files contain data for the results discussed and presented in the paper's figures and tables from the SUSTAIN modeling runs for the 5 sites included in this study. \n\nThis dataset is associated with the following publication:\nJob, S., M. Harris, S. Julius, J.B. Butcher, and J.T. Kennedy. Adapting urban best management practices for resilience to long-term environmental changes.   WATER ENVIRONMENT RESEARCH. Water Environment Federation, Alexandria, VA, USA, 92(12): 2178-2192, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1500867",
      "keyword": [
        "stormwater",
        "climate change",
        "resilience",
        "best management practices",
        "adaptation"
      ],
      "contactPoint": {
        "fn": "Susan Julius",
        "hasEmail": "mailto:julius.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Adapting_Urban_BMPs_datasources1_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500867/Adapting_Urban_BMPs_datasources1_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Adapting_Urban_BMPs_datasources2_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500867/Adapting_Urban_BMPs_datasources2_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-24",
      "references": [
        "https://doi.org/10.1002/wer.1302"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stream water isotope data from the Snoqualmie River Basin 2017-2018, and related watershed information",
      "description": "Water stable isotope data (both hydrogen and oxygen isotopes of H2O) from the Snoqualmie River Basin from 2017-2018.  This data was paired with USGS gauge data so includes watershed characteristics at the gaging stations near where water isotopes were collected.  Water isotopes were collected throughout the basin to cover the range of elevation and stream sizes.  Water isotopes were collected 5 times at all locations, and approximately twice monthly at the main stem of the Snoqualmie and larger tributaries. \n\nThis dataset is associated with the following publication:\nMcGill, L., J.R. Brooks, and A. Steel. Spatial and temporal dynamics of water sources in a mountain river basin inferred through δ2H and δ18O of water.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 35(3): e14063, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520140",
      "keyword": [
        "water resources",
        "river flow",
        "stable isotopes",
        "water supply",
        "geology",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_Snoqualmie_isotope_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520140/EPA_Snoqualmie_isotope_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA_Snoqualmie_geology_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520140/EPA_Snoqualmie_geology_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-20",
      "references": [
        "https://doi.org/10.1002/hyp.14063"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DeMarini et al., 2021 Mutagenicity Data Set - I-THMs",
      "description": "Mutagenicity data for iodinated trihalomethane compounds. \n\nThis dataset is associated with the following publication:\nDeMarini, D., S. Warren, W. Smith, S. Richardson, and H. Liberatore. Inability of GSTT1 to Activate Iodinated Halomethanes to Mutagens in Salmonella.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 62(3): 168-176, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520910",
      "keyword": [
        "Mutagenicity",
        "GSTT1",
        "Disinfection by-products",
        "drinking water",
        "DBPs"
      ],
      "contactPoint": {
        "fn": "Hannah Liberatore",
        "hasEmail": "mailto:liberatore.hannah@epa.gov"
      },
      "distribution": [
        {
          "title": "Table3_1-11-2020.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520910/Table3_1-11-2020.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table2_1-11-2020.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520910/Table2_1-11-2020.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table1_1-11-2020.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520910/Table1_1-11-2020.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-11",
      "references": [
        "https://doi.org/10.1002/em.22423"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Role of solution chemistry in the retention and release of graphene oxide nanomaterials in uncoated and iron oxide-coated sand (Journal Article: Science of the Total Environment; 579: 776-785)",
      "description": "Laboratory experimental data include: 1) transport and retention of graphene oxide nanomaterials (GONMs) in packed-columns under different KCl and CaCl2 concentrations in pure sand and iron oxide-coated sands; 2) average hydrodynamic size of GONMs using dynamic light scattering (DLS); and 3) zeta potentials of GONMs.\n\nOther data include: Derjaguin-Landau-Verwey-Overbeek (DLVO) interaction energy using surface element integration (SEI) technique. \n\nThis dataset is associated with the following publication:\nWang, D., C. Shen, Y. Jin, C. Su, L. Chu, and D. Zhou. Role of solution chemistry on the deposition and release of graphene oxide nanoparticles in uncoated and iron oxide-coated sand.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 579: 776-785, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407601",
      "keyword": [
        "Graphene oxide nanomaterials",
        "Uncoated and iron oxide-coated sand",
        "surface element integration",
        "DLVO theory",
        "DLS",
        "Zeta potential",
        "Transient solution chemistry",
        "Retention",
        "Release"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "STE paper Data_EPA_Updated on 08102017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407601/STE%20paper%20Data_EPA_Updated%20on%2008102017.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2017-08-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2016.11.029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioavailability and speciation data",
      "description": "The files in the dataset include tables of Pb bioavailability data from mice studies, of Pb x-ray absorption near-edge structure spectroscopy data, and of Pb speciation results of diets and excreted Pb. \n\nThis dataset is associated with the following publication:\nKarna, R.R., M.P. Noerpel, C. Nelson, B. Elek, K. Herbin-Davis, G. Diamond , K. Bradham, D.J. Thomas, and K.G. Scheckel. Bioavailable soil Pb minimized by in situ transformation to plumbojarosite.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 118(3): 01-06, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519345",
      "keyword": [
        "lead bioavailability",
        "lead contaminated soil",
        "lead immobilzation",
        "plumbojarosite",
        "synchrotron speciation",
        "in-vitro bioaccessibilty",
        "soil remediation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Data summary for Figs 2 & 3 Rainju et al 09102020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519345/Data%20summary%20for%20Figs%202%20%26%203%20Rainju%20et%20al%2009102020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519345/Figure%201_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tables1and2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519345/Tables1and2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-09",
      "references": [
        "https://doi.org/10.1073/pnas.2020315117"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Patient records of  pulmonary isolation of Nontuberculous Mycobacteria (NTM) ",
      "description": "Dataset includes patient records of pulmonary isolation of Nontuberculous Mycobacteria (NTM) from North Carolina State Laboratory of Public Health for the years 2006-2010. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: access is restricted because it contains PII. Format: csv. \n\nThis dataset is associated with the following publication:\nDeflorio-Barker, S., A. Egorov, G. Smith, M.S. Murphy, J. Stout, A. Ghio, E. Hudgens, K. Messier, J. Maillard, and E. Hilborn. Environmental risk factors associated with pulmonary isolation of nontuberculous mycobacteria, a population-based study in the southeastern United States.  Scott Sheridan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 763: 144552, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520963",
      "keyword": [
        "Nontuberculous Mycobacteria (NTM)",
        "pulmonary isolation",
        "census block",
        "acidic soil",
        "hydric soil",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Stephanie Deflorio-Barker",
        "hasEmail": "mailto:deflorio-barker.stephanie@epa.gov"
      },
      "distribution": [],
      "modified": "2018-03-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.144552"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "patient records of  pulmonary isolation of Nontuberculous Mycobacteria (NTM) at the block level",
      "description": "This dataset contains patient records of  pulmonary isolation of Nontuberculous Mycobacteria (NTM) from North Carolina State Laboratory of Public Health, local soil data from the Soil Survey Geographic Database (SSURGO, Natural Resources Conservation Service, United States Department of Agriculture), land use data from the 2011 National Land Cover Database (NLCD), paved and dirt road data from the 2010 Navteq street dataset, and census-block level characteristics from the U.S. Census. The data is aggregated at the census-block level. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Access is restricted because it contains PII. Format: sas7bdat. \n\nThis dataset is associated with the following publication:\nDeflorio-Barker, S., A. Egorov, G. Smith, M.S. Murphy, J. Stout, A. Ghio, E. Hudgens, K. Messier, J. Maillard, and E. Hilborn. Environmental risk factors associated with pulmonary isolation of nontuberculous mycobacteria, a population-based study in the southeastern United States.  Scott Sheridan  SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 763: 144552, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520964",
      "keyword": [
        "Nontuberculous Mycobacteria (NTM)",
        "pulmonary isolation",
        "census block",
        "acidic soil",
        "hydric soil",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Stephanie Deflorio-Barker",
        "hasEmail": "mailto:deflorio-barker.stephanie@epa.gov"
      },
      "distribution": [],
      "modified": "2020-06-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.144552"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Mobile source air quality data used as inputs to generate health effect incidence. PM and ozone health effect incidence for 17 mobile source sectors in 2011 and 2025; baseline mortality incidence in 2011 and 2025; and mortality percentage maps",
      "description": "Mobile source-related PM and Ozone air quality concentration data used as inputs to BenMAP-CE to generate the attributable health burden of 17 different mobile sector categories. Also included are the attributable health impact results for the same mobile sectors, baseline mortality burden, and maps that display the spatial distribution of mobile sector mortality health burden as a percentage of total mortality. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520969",
      "keyword": [
        "transportation",
        "particulate matter",
        "Ozone",
        "health burden",
        "air quality",
        "Mobile sources"
      ],
      "contactPoint": {
        "fn": "Kenneth Davidson",
        "hasEmail": "mailto:davidson.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Mobile BPT Incidence.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520969/Mobile%20BPT%20Incidence.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BenMAP inputs_updated.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520969/BenMAP%20inputs_updated.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-23",
      "references": [
        "https://dx.doi.org/10.1088/1748-9326/ab83a8"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Oxidative degradation of pharmaceuticals and endocrine disrupting compounds in water",
      "description": "The dataset includes: \n\nTEM micrographs of rGO-Ag0/Fe3O4 NH.\n\nXRD patterns, FT-IR spectra, and UV-Vis absorption spectra of rGO, AgNP, and rGO-Ag0/Fe3O4 NH.\n\nX-ray photoelectron spectra of rGO and rGO-Ag0/Fe3O4 NH.\n\nConcentrations of phenol, acetaminophen, ibuprofen, naproxen, BPA, E2, and EE2 as a function of time in graphs. \n\nThis dataset is associated with the following publication:\nPark, C.M., J. Heo, D. Wang, C. Su, and Y. Yoon. Heterogeneous activation of persulfate by reduced graphene oxide–elemental silver/magnetite nanohybrids for the oxidative degradation of pharmaceuticals and endocrine disrupting compounds in water.   APPLIED CATALYSIS B: ENVIRONMENTAL. Elsevier Science Ltd, New York, NY, USA, 225: 91-99, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521026",
      "keyword": [
        "graphene oxide",
        "nanocomposites",
        "pharmaceuticals",
        "endocrine disrupting compounds",
        "advanced oxidation"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "4. Conc. of pollutants vs time in graphs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/4.%20Conc.%20of%20pollutants%20vs%20time%20in%20graphs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-8. XPS for rGO-Ag0_Fe3O4 NH Fe2p.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-8.%20XPS%20for%20rGO-Ag0_Fe3O4%20NH%20Fe2p.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-7. XPS for rGO-Ag0_Fe3O4 NH Ag3d.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-7.%20XPS%20for%20rGO-Ag0_Fe3O4%20NH%20Ag3d.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-6. XPS for rGO-Ag0_Fe3O4 NH O1s.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-6.%20XPS%20for%20rGO-Ag0_Fe3O4%20NH%20O1s.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-5. XPS for rGO-Ag0_Fe3O4 NH C1s.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-5.%20XPS%20for%20rGO-Ag0_Fe3O4%20NH%20C1s.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-4. XPS for rGO-Ag0_Fe3O4 NH wide.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-4.%20XPS%20for%20rGO-Ag0_Fe3O4%20NH%20wide.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-3. XPS for rGO O1s.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-3.%20XPS%20for%20rGO%20O1s.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-2. XPS for rGO C1s.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-2.%20XPS%20for%20rGO%20C1s.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-1. XPS for rGO wide.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/3-1.%20XPS%20for%20rGO%20wide.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-7. UV-Vis for rGO-Ag0_Fe3O4 NH.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-7.%20UV-Vis%20for%20rGO-Ag0_Fe3O4%20NH.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-6. UV-Vis for AgNP.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-6.%20UV-Vis%20for%20AgNP.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-5. UV-Vis for rGO.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-5.%20UV-Vis%20for%20rGO.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-4. FTIR for rGO-Ag0_Fe3O4 NH.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-4.%20FTIR%20for%20rGO-Ag0_Fe3O4%20NH.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-3. FTIR for rGO.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-3.%20FTIR%20for%20rGO.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-2. XRD for rGO-Ag0_Fe3O4 NH.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-2.%20XRD%20for%20rGO-Ag0_Fe3O4%20NH.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-1. XRD for rGO.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/2-1.%20XRD%20for%20rGO.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1. TEM for rGO-Ag0_Fe3O4 NH.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521026/1.%20TEM%20for%20rGO-Ag0_Fe3O4%20NH.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-03-15",
      "references": [
        "https://doi.org/10.1016/j.apcatb.2017.11.058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT Model Data Illinois River Watershed",
      "description": "Data used in the manuscript submission that describes the use of support vector machine calibration of a SWAT model of the Illinois River Watershed",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520734",
      "keyword": [
        "SWAT",
        "soil erosion",
        "Streamflow modeling",
        "sediment yield",
        "Xinjiang River basin",
        "Illinois River Basin",
        "Support Vector Machine"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Submitting_to_PlosOne.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520734/Data_Submitting_to_PlosOne.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FRTL-5 RAIU of 5-AT",
      "description": "Iodide uptake following a two-hour incubation with concentrations of 5-ATcompared to control iodide uptake in FRTL thyroid follicular cells. \n\nThis dataset is associated with the following publication:\nAdams, V., M. Bazar, E. Reinke, A. Buckalew, and W. Eck. In vitro and in vivo effects of 5-Aminotetrazole (5-AT)- an energetic compound.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 111(104573): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521086",
      "keyword": [
        "thyroid",
        "Sodium Iodide Symporter",
        "endocrine disruption",
        "5-aminotetrazole"
      ],
      "contactPoint": {
        "fn": "Angela Buckalew",
        "hasEmail": "mailto:buckalew.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "FRTL-5 dataset for science-hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521086/FRTL-5%20dataset%20for%20science-hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-30",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.104573"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ORD-037657: Sex-, age-, race-, and disease-dependent variations in NRF2-regulated genes in human livers",
      "description": "Data was generated at KUMC, not EPA. There is no EPA data that is part of this submission. \n\nThis dataset is associated with the following publication:\nLiu, J., J.Y. Cui, Y. Lu, C. Corton, and C. Klaassen. Sex-, Age-, and Race/Ethnicity-Dependent Variations in Drug-Processing and NRF2-Regulated Genes in Human Livers.   DRUG METABOLISM AND DISPOSITION. American Society for Pharmacology and Experimental Therapeutics, Bethesda, MD, USA, 49(1): 111-119, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518913",
      "keyword": [
        "NRF2/ARE signaling",
        "NRF2-regulated gene expression",
        "Human livers",
        "sex",
        "age",
        "Race/ethnicity",
        "Diseased liver samples"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Liu_DMD_2021_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518913/Liu_DMD_2021_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-06-20",
      "references": [
        "https://doi.org/10.1124/dmd.120.000181"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicted Background Conductivity Data ",
      "description": "This \"Predicted Background Conductivity\" view consists of a shapefile derived from National Hydrography Dataset Plus Version 2.0 which displays modeled natural background conductivity for the continental United States.\nThe displayed information is based on specific conductivity predictions for stream segments in the contiguous United States from the Natural Background Specific Conductivity (NBSC) model. The NBSC model was developed using a random forest modeling approach and enables comparison with measured in-stream conductivity. Geology, soil, vegetation, climate and other empirically measured data were used as inputs. The NBSC model was designed for streams with natural background SC < 2000 µS/cm.  Above this level (typical for freshwater), NBSC model estimates may be less reliable.  Data for some parameters that affect background SC were not readily available and were therefore not included in the model. These include freshwater and marine interfaces, natural mineral springs, salt deposits which may affect groundwater and streams, and other natural sources of salts.  In such areas, the model is likely to underestimate SC. Local knowledge is often necessary to assess differences between predicted and measured background SC. More information about the model and datasets can be found at Freshwater Explorer Story Metadata.\nThe calculated predicted background conductivity for individual stream segments in the contiguous U.S.A. and metadata are accessible from the ArcGIS platform on Predicted Background Conductivity Data.  Data is available as table (from Data) or in by pointing and clicking on a stream segment (from Visualization) (https://arcg.is/9vnrv).  This data set is used in the Freshwater Explorer Beta 0.1 which on Jan. 2020 is password protected but can be obtained by requesting access from cormier.susan@epa.gov and then using the link: https://arcg.is/KHb9S. \n\nThis dataset is associated with the following publication:\nOlson, J., and S. Cormier. Modeling spatial and temporal variation in natural background specific conductivity.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(8): 4316-4325, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517581",
      "keyword": [
        "drought",
        "StreamCat",
        "conductivity",
        "Carbonate Salts",
        "modeled conductivity"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://arcg.is/9vnrv",
          "accessURL": "https://arcg.is/9vnrv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-01",
      "references": [
        "https://doi.org/10.1021/acs.est.8b06777"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rainfall Washoff of Spores Dataset",
      "description": "Spore washoff data from concrete and asphalt coupons generated with rainfall simulator. \n\nThis dataset is associated with the following publication:\nMikelonis, A., W. Calfee, S. Lee, A. Touati, and K. Ratliff. Rainfall Washoff of Spores from Concrete and Asphalt Surfaces.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(3): e2020WR028533, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518925",
      "keyword": [
        "stormwater",
        "emergency response",
        "anthrax"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "2020WashoffPaperDataset.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518925/2020WashoffPaperDataset.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-23",
      "references": [
        "https://doi.org/10.1029/2020wr028533"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518925/documents/DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Links to Freshwater Explorer datasets A-cjtc 20190408",
      "description": "These are data stored on the EPA GeoPlatform based on ArcGis (ESRI). They are in the form ArcGis tables or Excel files.\n\nThis \"Predicted Background Conductivity\" view consists of a shapefile derived from National Hydrography Dataset Plus Version 2.0 which displays modeled natural background conductivity for the continental United States.  The Natural Background Specific Conductivity (NBSC) contains predicted natural background conductivity using geology, soil, climate and other input parameters. \n\nThe \"National Measured Conductivity Data - WQP\" view consists of a shapefile derived from data stored in the U.S. EPA Water Quality Portal. The \"National Measured Conductivity Data - WQP\" is based on measured data obtained from the U.S. EPA Water Quality Portal (WQP) data inventory - the nation's largest source for water quality monitoring data. Data were downloaded from the WQP website using the following query criteria: Country - United States.\n•\tSample Media - Water. \n•\tCharacteristics - Conductivity, Specific Conductivity, Specific Conductance, Calculated/Measured Ratio.\n•\tDate range - 1 January 2000 to 01 November 2019.\n\nThe \"National Measured Conductivity Data - NWIS\" view consists of a shapefile derived from United States Geological Survey (USGS) National Water Information System (NWIS) data. The information displayed is based on measured specific conductivity (SC) data retrieved from the USGS NWIS. NWIS data are based upon consistent, documented sample collection and measurement techniques, as well as consistent data reporting. Data was downloaded for river and stream sampling sites between January 1, 1984 and April 20, 2018. Data collected prior to 1984 were excluded because analytical methods used by USGS prior to that date are less reliable. The downloaded dataset includes more than 1 million water chemistry measurements, collected at 65,698 NWIS sampling stations in the continental U.S. (covering all states and most ecoregions).\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503696",
      "keyword": [
        "stream",
        "conductivity",
        "background",
        "biological effect level",
        "story map'"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Links to Freshwater Explorer datasets A-cjtc 20190408.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503696/Links%20to%20Freshwater%20Explorer%20datasets%20A-cjtc%2020190408.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Challenges and Opportunities for Translational Research on Congenital Anomalies of External Genitalia: Summary of an NIDDK/AUA Workshop",
      "description": "This was a summary article from a workshop and did not produce new data. This dataset is not publicly accessible because: This was a summary article from a workshop and did not produce new data. It can be accessed through the following means: Data mentioned in this workshop review can be accessed by accessing the original sources of information, as cited within the review. Format: Not applicable. \n\nThis dataset is associated with the following publication:\nStadler, H.S., C. Peters, R. Sturm, L. Baker, C. Best, V. Byrd, F. Geller, D. Hoshizaki, T. Knudsen, J. Norton, R. Romao, and M. Cohn. Challenges and Opportunities for Translational Research on Congenital Anomalies of External Genitalia:\nSummary of an NIDDK/AUA Workshop.   Journal of Pediatric Urology. Elsevier B.V., Amsterdam,  NETHERLANDS, 16(6): 791-804, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518712",
      "keyword": [
        "genitourinary development",
        "systems biology",
        "virtual tissue models",
        "hypospadias",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-03",
      "references": [
        "https://doi.org/10.1016/j.jpurol.2020.09.012"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DWTRs_Data_P_Sorption_Capacity_Manuscript_Data ",
      "description": "DWTRs Data and P sorption capacity. \n\nThis dataset is associated with the following publication:\nAment, M.R., S.E. Hurley, M. Voorhees, E. Perkins, Y. Yuan, J.W. Faulkner, and E.D. Roy. Balancing Hydraulic Control and Phosphorus Removal in Bioretention Media Amended with Drinking Water Treatment Residuals.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 1(3): 688–697, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518687",
      "keyword": [
        "green stormwater infastructure",
        "phosphorus",
        "bioretention",
        "sorption",
        "Hydraulic Conductivity",
        "drinking water treatment residuals"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "DWTRs_Data_P_Sorption_Capacity_Manuscript_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518687/DWTRs_Data_P_Sorption_Capacity_Manuscript_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-29",
      "references": [
        "https://doi.org/10.1021/acsestwater.0c00178"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reactive Organic Carbon Emissions from Volatile Chemical Products",
      "description": "VCPy was developed to predict evaporative emissions of VOCs from volatile chemical products. The data contains python code and inputs for VCPy v1.0 as well as an excel file containing values from the main text figures in the work of Seltzer et al. (Atmospheric Chemistry and Physics, 2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520157",
      "keyword": [
        "VCP",
        "Volatile organic compound (VOC)",
        "Ozone",
        "reactive organic carbon",
        "NEI",
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "maintext_figs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520157/maintext_figs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VCPy.v1.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520157/VCPy.v1.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " ghioandrew_fulvicacid_fig5A.xlsx ",
      "description": "Excel files for \"A fulvic acid-like substance participates in the pro-inflammatory effects of cigarette smoke and wood smoke particles\". This dataset is not publicly accessible because: Not applicable. It can be accessed through the following means: M:/ghioandrew_fulvicacid_fig5A.xlsx. Format: Excel file",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1506013",
      "keyword": [
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of 15 years of modeled NOX across the contiguous United States",
      "description": "These files contain observed and CMAQ estimated gas species data that were used in the analysis documented in the manuscript “Evaluation of 15 years of modeled NOX across the contiguous United States”. The files are packages as a set of .csv, .zip and .tar.gz files that correspond to different plots and analyses in the paper.  Metadata about each file is available in the Data Dictionary.  The data are available on Zenodo: https://doi.org/10.5281/zenodo.4589604",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520141",
      "keyword": [
        "CMAQ",
        "NOx",
        "O3",
        "mobile emissions",
        "NOY",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.4589604",
          "accessURL": "https://doi.org/10.5281/zenodo.4589604",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520141/documents/ToroEtAl_2021_Elementa_Data_Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Martin et al_Eucalyptus High Carbohydrate Challenge_All data ",
      "description": "The file contains all individual values used to generate means and standard deviations presented in the tables and figures reported in this manuscript. \n\nThis dataset is associated with the following publication:\nMartin, B., L. Thompson, Y. Kim, S. Snow, M.C. Schladweiler, P. Phillips, M. Harmon, C. King, J. Richards, I. George, K. Martin, N.H. Coates, I. Gilmour, U. Kodavanti, M. Hazari, and A. Farraj. A Single Exposure to Eucalyptus Smoke Sensitizes Rats to the Postprandial Cardiovascular Effects of a High Carbohydrate Oral Load.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 32(8): 342-353, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518662",
      "keyword": [
        "air pollution",
        "modifiable factors",
        "cardiovascular",
        "high carbohydrate meal",
        "priming",
        "sensitization",
        "eucalyptus smoke",
        "wildland fires",
        "inhalation exposure",
        "short-term",
        "postprandial",
        "biomass",
        "Risk"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "FarrajAimen_A-dv4m_All Data_August-17-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518662/FarrajAimen_A-dv4m_All%20Data_August-17-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-06",
      "references": [
        "https://doi.org/10.1080/08958378.2020.1809572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatiotemporal variability of ammonia across the contiguous United States",
      "description": "These data are monthly mean annual CMAQ simulations as described in the manuscript. \n\nThis dataset is associated with the following publication:\nWang, R., X. Guo, D.  Pan, J. Kelly, J. Bash, K. Sun, F. Paulot, L. Clarisse, M. Van Damme, S. Whitburn, P. Coheur, C. Clerbaux, and M.A. Zondlo. Monthly Patterns of Ammonia Over the Contiguous United States at 2-km Resolution.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 48(5): e2020GL090579, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520484",
      "keyword": [
        "CMAQ",
        "ammonia",
        "IASI",
        "pm2.5",
        "Satellite Air-Quality"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ/",
          "accessURL": "https://github.com/USEPA/CMAQ/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://iasi.aeris-data.fr/nh3/",
          "accessURL": "https://iasi.aeris-data.fr/nh3/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.gfdl.noaa.gov/am3/",
          "accessURL": "https://www.gfdl.noaa.gov/am3/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-09",
      "references": [
        "https://doi.org/10.1029/2020gl090579"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rapid production of highly oxidized molecules in isoprene aerosol via peroxy and alkoxy radical isomerization pathways in low and high NOx environments: Combined laboratory, computational and field studies",
      "description": "Recently, we identified seven novel hydroxy-carboxylic acids resulting from gas-phase reactions of isoprene in the presence of nitrogen oxides (NOx), ozone (O3), and/or hydroxyl radicals (OH). In the present study, we provide evidence that hydroxy-carboxylic acids, namely methyltartaric acids (MTA) are: (1) reliable isoprene tracers, (2) likely produced via rapid peroxy radical hydrogen atom(H) shift reactions (autoxidation mechanism) and analogous alkoxy radical H shifts in low and high NOx environments respectively and (3) representative of aged ambient aerosol in the low NOx regime. Firstly, MTA are reliable tracers of isoprene aerosol because they have been identified in numerous chamber experiments involving isoprene conducted under a wide range of conditions and are absent in the oxidation of mono- and sesquiterpenes. They are also present in numerous samples of ambient aerosol collected during the past 20 years at several locations in the U.S. and Europe. Furthermore, MTA concentrations measured during a year-long field study in Research Triangle Park (RTP), NC in 2003 show a seasonal trend consistent with isoprene emissions and photochemical activity. Secondly, an analysis of chemical ionization mass spectrometer (CIMS) data of several chamber experiments in low and high NOx environments show that highly oxidized molecules (HOMs) derived from isoprene that lead to MTAs may be produced rapidly and considered as early generation isoprene oxidation products in the gas phase. Density functional theory calculations show that rapid intramolecular H shifts involving peroxy and alkoxy radicals possess low barriers for methyl-hydroxy-butenals (MHBs) that may represent precursors for MTA. From these results, a viable rapid H shift mechanism is proposed to occur that produces isoprene derived HOMs like MTA. Finally, an analysis of the mechanism shows that autoxidation-like pathways in low and high NOx may produce HOMs in a few OH oxidation steps like commonly detected methyl tetrol (MT) isoprene tracers. The ratio of MTA/MT in isoprene aerosol is also shown to be significantly greater in field versus chamber samples indicating the importance of such pathways in the atmosphere even for smaller hydrocarbons like isoprene. \n\nThis dataset is associated with the following publication:\nJaoui, M., I. Piletic, R. Szmigielski, K.J. Rudzinski, M. Lewandowski, T. Riedel, and T. Kleindienst. Rapid production of highly oxidized molecules in isoprene aerosol via peroxy and alkoxy radical isomerization pathways in low and high NOx environments: Combined laboratory, computational and field studies.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 775: 145592, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518750",
      "keyword": [
        "isoprene",
        "highly oxidized molecules",
        "Secondary Organic Aerosol",
        "autoxidation",
        "Density functional theory",
        "methyltartaric acid.",
        "methyl-threonic acid",
        "methylerythronic acid",
        "methyltartaric acid",
        "LC-Orbitrap",
        "mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "Part2_Iso-Aging_ScienceHub_entry-Data_Final_gcms.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518750/Part2_Iso-Aging_ScienceHub_entry-Data_Final_gcms.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Part2_Iso-Aging_ScienceHub_entry-Data_Final_CIMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518750/Part2_Iso-Aging_ScienceHub_entry-Data_Final_CIMS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145592"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Risk-based Decision Support Tool (DST) for TMDL analysis and Watershed Health assessment demonstration dataset (Upper Mississippi River Basin, Ohio River Basin, Maumee River Basin)",
      "description": "The data set is composed of inputs and outputs of the DST demonstration and application to risk-based TMDLs and water quality risk assessment in Midwest river basins (Upper Mississippi River, Ohio River, and Maumee River). Portions of this dataset are inaccessible because: Too large. They can be accessed through the following means: The data is available in this directory: C:\\Users\\MHantush\\OneDrive - Environmental Protection Agency (EPA)\\ScienceHUB\\Risk-Based WH-TMDL Tool\\gis_files. Format: GIS data files. \n\nThis dataset is associated with the following publication:\nMallya, G., A. Gupta, M.M. Hantush, and R.S. Govindaraju. Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 131: 104735, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521110",
      "keyword": [
        "Decision support tool",
        "Water quality risk analysis",
        "TMDLs",
        "Uncertainty Analysis",
        "TMDL",
        "Relevance vector machine",
        "uncertainty quantification",
        "LOADEST"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ezD4762734_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521110/ezD4762734_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-27",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2020.104735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vitamin D deficiency causes cardiac dysfunction mediated by TRPC6_complete data",
      "description": "Cardiovascular effects of vitamin D deficiency and pharmacological characterization of the role of TRPC6 in the effects. \n\nThis dataset is associated with the following publication:\nStratford, K., N. Coates, L. Thompson, A. Farraj, and M. Hazari. Early-life persistent vitamin D deficiency-induced cardiovascular dysfunction in mice is mediated by Transit Receptor Potential C Channels.   The Journal of Steroid Biochemistry and Molecular Bio. ELSEVIER, AMSTERDAM,  HOLLAND, 206(105804): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503424",
      "keyword": [
        "vitamin d deficiency",
        "cardiovascular",
        "TRPC6",
        "Hypertension"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "KS5_VDD TRPC6_Complete data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503424/KS5_VDD%20TRPC6_Complete%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-21",
      "references": [
        "https://doi.org/10.1016/j.jsbmb.2020.105804"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Collodal-Copper based pesticide and wood preservatives against microbial acitivies",
      "description": "Copper-based pesticides and wood preservative fungicides could end up in the environment during production, use, and end-of-life via different pathways that could cause unintended ecological and adverse health effects. This research provides the effect of colloid-size Cu-based pesticides (), micronized Cu azole (MCA-1 and MCA-2) and alkaline Cu quaternary (ACQ) treated woods, ionic Cu, ionic Cu spiked untreated wood (UTW), and CuCO3 solutions against Gram-positive Bacillus species using five-day biochemical oxygen demand (BOD5) standard test. \n\nThis dataset is associated with the following publications:\nTegenaw, A., G.A. Sorial , and E. Sahle-Demessie. Effect of colloid-size copper-based pesticides and wood preservatives against microbial activities of Gram-positive Bacillus species using five-day biochemical oxygen demand test.   Journal of Environmental Sciences. Elsevier BV, AMSTERDAM,  NETHERLANDS, 105: 71-80, (2021).\nTegenaw, A., G.A. Sorial, E. Sahle-Demessie, and C. Han. Role of water chemistry on stability, aggregation, and dissolution of uncoated and carbon-coated copper nanoparticles.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 187: 109700, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520884",
      "keyword": [
        "Bacillus species",
        "BOD5",
        "Colloid-size Cu-based pesticides",
        "Leaching",
        "Wood preservatives"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Ayu_Cu-NPs_Supplemental Data_Journal of Environmental Management.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520884/Ayu_Cu-NPs_Supplemental%20Data_Journal%20of%20Environmental%20Management.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ayu_Paper_Figure_file.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520884/Ayu_Paper_Figure_file.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ayu_Manuscript_Journal of Environmental Management GS and Sahle Demmessie edits (003).docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520884/Ayu_Manuscript_Journal%20of%20Environmental%20Management%20GS%20and%20Sahle%20Demmessie%20edits%20%28003%29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-04",
      "references": [
        "https://doi.org/10.1016/j.jes.2020.12.037",
        "https://doi.org/10.1016/j.envres.2020.109700"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520884/documents/Data%20Dictionary_Copper_Nanopesticide_March21.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Machine Learning Modeling of Water Quality Based Risk Assessment",
      "description": "This is the geospatial and hydroclimate input data used to develop data-driven Machine Learning (ML) models as well as model estimated water quality based risk metrics and watershed health composite measure in three river basins in the Midwest. Model outputs that are used to construct the figures in the paper are displayed in the Excel file with the definitions of the data reported in each datasheet. The directory to the GIS data that were used to construct the inputs and spatially distributed risk metrics at the HUC-10 level is listed here and in the Scientific Data Management Plan. Portions of this dataset are inaccessible because: Large size GIS database. They can be accessed through the following means: C:\\Users\\MHantush\\OneDrive - Environmental Protection Agency (EPA)\\ScienceHUB\\WH ML Modeling. Format: Generic GIS database. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521112",
      "keyword": [
        "machine learning",
        "water quality",
        "Risk analysis",
        "Ungauged Watersheds"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ezD4762735_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521112/ezD4762735_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-10-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioactivity screening of environmental chemicals using imaging-based high-throughput phenotypic profiling",
      "description": "In the present study, we adapted an existing phenotypic profiling assay (“Cell Painting”, (Bray et al., 2016)) to be compatible with in-house microfluidics capabilities for 384-well culture format, chemical exposures and fluorescent cytochemistry in order to facilitate concentration-response screening of several hundred environmental chemicals. In this assay, human-derived cells were labeled with multiple fluorescent probes to visualize various subcellular organelles and structural features. High content image analysis workflows were used to measure hundreds of morphological features at the level of the individual cell (i.e. shape of the cells, intensity, texture and distribution of fluorescent labels, etc.). The resultant data were then used to calculate well-level summary values, perform high-throughput concentration-response modeling and generate phenotypic response profiles. First, we identified and screened a set of candidate phenotypic reference chemicals for use as plate-based controls for evaluating HTPP assay performance during large-scale screening studies and identified an optimal exposure duration for HTPP screening. Second, we screened a set of 462 environmental chemicals in the U-2 OS cell model and derived in vitro potency estimates for bioactivity of all active chemicals. In addition, we demonstrated the technical reproducibility of the HTPP assay in concentration-response screening mode using the previously identified phenotypic reference chemicals. Next, we used reverse dosimetry to calculate administered equivalent doses (AEDs) corresponding to the thresholds for chemical bioactivity and compared those values to in vivo effect values from mammalian toxicity studies. \n\nThis dataset is associated with the following publication:\nNyffeler, J., C. Willis, R. Lougee, A. Richard, K. Friedman, and J. Harrill. Bioactivity screening of environmental chemicals using imaging-based high-throughput phenotypic profiling.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 389: 114876, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520454",
      "keyword": [
        "high content imaging",
        "ToxCast",
        "high-throughput phenotypic profiling",
        "computational toxicology",
        "concentration response",
        "cell painting"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Nyffeler/Bioactivity_screening_of_environmental_chemicals/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Nyffeler/Bioactivity_screening_of_environmental_chemicals/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-20",
      "references": [
        "https://doi.org/10.1016/j.taap.2019.114876"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects-based monitoring of bioactive contaminants discharged to the Colorado River before and after a municipal wastewater treatment facility replacement",
      "description": "The present study highlights the utility of bioeffects-based monitoring in conjunction with analytical chemical measurements of surface waters on the Colorado River associated with a historically bioactive wastewater treatment plant effluent. Concurrent with chemical monitoring and in vitro bioactivity measurements, in situ caged fish systems were employed to evaluate the potential bioavailability of predicted biologically-active contaminants associated with ER, GR, and PPAR-associated activities. The present study compares the effects of a wastewater treatment plant facility upgrade on bioactive contaminant loading. \n\nThis dataset is associated with the following publication:\nCavallin, J., W. Battaglin, J. Beihoffer, B. Blackwell, P. Bradley, A. Cole, D. Ekman, R. Hofer, J. Kinsey, K. Keteles, D. Winkelman, and D. Villeneuve. Effects-Based Monitoring of Bioactive Chemicals Discharged to the Colorado River Before and After a Municipal Wastewater Treatment Plant Replacement.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(2): 974-984, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519052",
      "keyword": [
        "fish",
        "wastewater treatment plant",
        "in vitro bioassays",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Cavallin et al_Moab caged fish_Science Hub_12-15-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519052/Cavallin%20et%20al_Moab%20caged%20fish_Science%20Hub_12-15-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-10",
      "references": [
        "https://doi.org/10.1021/acs.est.0c05269"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata Files for Structure-based QSAR models to predict repeat dose toxicity points of departure",
      "description": "This paper describes a model to take chemical structures and predict a property (the point of departure) for a new chemical. No new data were generated. The contents of this zip file contains metadata that you could use to make a model prediction. It does contain all of the code and a help file describing how to run the model. \n\nThis dataset is associated with the following publication:\nPradeep, P., K. Paul-Friedman, and R. Judson. Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of Departure.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 16(November 2020): 100139, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520778",
      "keyword": [
        "systemic toxicity",
        "point of departure",
        "qsar",
        "repeat dose toxicity"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Pradeep et al QSAR Models Supp Data Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520778/Pradeep%20et%20al%20QSAR%20Models%20Supp%20Data%20Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-09-24",
      "references": [
        "https://doi.org/10.1016/j.comtox.2020.100139"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of polycyclic aromatic hydrocarbons in fine particulate matter censoring-related bias.csv",
      "description": "The case study data are selected from an EPA study using cookstove combustion experiments to measure polycyclic aromatic hydrocarbon (PAH) concentrations in particulate matter (PM) and were determined using gas chromatography-mass spectrometry (GC-MS) (Shen et al. 2017). Chromatograms of particle emissions reported in Shen et al. (2017) were reanalyzed for the case study to quantify previously censored measurements where the signal-to-noise ratio was >1. \n\nThis dataset is associated with the following publication:\nGeorge, B., L. Gains-Germain, K. Broms, K. Black, M. Furman, M. Hays, K. Thomas, and J.E. Simmons. Censoring Trace-Level Environmental Data: Statistical Analysis Considerations to Limit Bias.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(6): 3786-3795, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517601",
      "keyword": [
        "nondetects",
        "censoring",
        "bias"
      ],
      "contactPoint": {
        "fn": "Barbara George",
        "hasEmail": "mailto:george.bj@epa.gov"
      },
      "distribution": [
        {
          "title": "Evaluation of polycyclic aromatic hydrocarbons in fine particulate matter censoring-related bias.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517601/Evaluation%20of%20polycyclic%20aromatic%20hydrocarbons%20in%20fine%20particulate%20matter%20censoring-related%20bias.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-14",
      "references": [
        "https://doi.org/10.1021/acs.est.0c02256"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517601/documents/data%20dictionary%20-%20Evaluation%20of%20polycyclic%20aromatic%20hydrocarbons%20in%20fine%20particulate%20matter%20censoring-related%20bias.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033344: A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays",
      "description": "Microarray experiments used in the study. \n\nThis dataset is associated with the following publication:\nCorton, J., T. Hill, J. Sutherland, J. Stevens, and J. Rooney. A Set of Six Gene Expression Biomarkers Identify Rat Liver Tumorigens in Short-Term Assays.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  177(1): 11-26, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504416",
      "keyword": [
        "2 year bioassay",
        "adverse outcome pathway",
        "molecular initiating event",
        "toxicogenomics",
        "liver cancer"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-fn3f.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504416/Data%20submission%20for%20A-fn3f.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa101"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Total column NO2 from ground based pandora spectrometers at nine locations across the New York City metropolitan. ",
      "description": "Airborne and ground-based Pandora spectrometer NO2 column measurements were collected during the 2018 Long Island Sound Tropospheric Ozone Study (LISTOS) in the New York City/Long Island Sound region, which coincided with early observations from the Sentinel-5P TROPOspheric Monitoring Instrument (TROPOMI) instrument. Both airborne- and ground-based measurements are used to evaluate the TROPOMI NO2 Tropospheric Vertical Column (TrVC) product v1.2 in this region, which has high spatial and temporal heterogeneity in NO2. First, airborne and Pandora TrVCs are compared to evaluate the uncertainty of the airborne TrVC and establish the spatial representativeness of the Pandora observations. The 171 coincidences between Pandora and airborne TrVCs are found to be highly correlated (r2= 0.92 and slope of 1.03), with the largest individual differences being associated with high temporal and/or spatial variability. These reference measurements (Pandora and airborne) are complementary with respect to temporal coverage and spatial representativity. Pandora spectrometers can provide continuous long-term measurements but may lack areal representativity when operated in direct-sun mode. Airborne spectrometers are typically only deployed for short periods of time, but their observations are more spatially representative of the satellite measurements with the added capability of retrieving at subpixel resolutions of 250 m × 250 m over the entire TROPOMI pixels they overfly. Thus, airborne data are more correlated with TROPOMI measurements (r2=0.96) than Pandora measurements are with TROPOMI (r2=0.84). The largest outliers between TROPOMI and the reference measurements appear to stem from too spatially coarse a priori surface reflectivity (0.5∘) over bright urban scenes. In this work, this results during cloud-free scenes that, at times, are affected by errors in the TROPOMI cloud pressure retrieval impacting the calculation of tropospheric air mass factors. This factor causes a high bias in TROPOMI TrVCs of 4 %–11 %. Excluding these cloud-impacted points, TROPOMI has an overall low bias of 19 %–33 % during the LISTOS timeframe of June–September 2018. Part of this low bias is caused by coarse a priori profile input from the TM5-MP model; replacing these profiles with those from a 12 km North American Model–Community Multiscale Air Quality (NAMCMAQ) analysis results in a 12 %–14 % increase in the TrVCs. Even with this improvement, the TROPOMI-NAMCMAQ TrVCs have a 7 %–19 % low bias, indicating needed improvement in a priori assumptions in the air mass factor calculation. Future work should explore additional impacts of a priori inputs to further assess the remaining low biases in TROPOMI using these datasets. \n\nThis dataset is associated with the following publication:\nJudd, L., J. Al-Saadi, J. Szykman, L. Valin, A. Nehrir, S. Janz, M. Kowalewski, R. Swap , D. Williams, H. Eskes, J.P.  Veefkind, A. Cede, M. Mueller, M. Gebetsberger, and R.B. Pierce. Evaluating Sentinel-5P TROPOMI tropospheric NO2 column densities with airborne and Pandora spectrometers near New York City and Long Island Sound.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 13(11): 6113-6140, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519060",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Tropospheric column NO2",
        "Pandora spectrometer",
        "S5P-TROPOMI",
        "air quality",
        "air emissions",
        "nitrogen di",
        "regional ozone modeling"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://s5phub.copernicus.eu/dhus/#/home",
          "accessURL": "https://s5phub.copernicus.eu/dhus/#/home",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?NASA-AIRCRAFT=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?NASA-AIRCRAFT=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-WESTPORT=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-WESTPORT=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-RUTGERS=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-RUTGERS=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-BAYONNE=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-BAYONNE=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-BRONX-PFIZER=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-BRONX-PFIZER=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-QUEENS-COLLEGE=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-QUEENS-COLLEGE=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-NEW-HAVEN=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-NEW-HAVEN=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-NEW-HAVEN=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-NEW-HAVEN=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-HAMMONASSET=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-HAMMONASSET=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-06",
      "references": [
        "https://doi.org/10.5194/amt-13-6113-2020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Maumee River 2012 and 2016",
      "description": "The Maumee River and associated tributaries are an example of a system influenced by a mosaic of contaminant inputs from point and nonpoint sources along a gradient of land uses. To assess the potential effects of contaminants on aquatic biota in a system this complex requires a combination of targeted and nontargeted analytical and biological monitoring techniques to provide data that can be assembled and interpreted in an integrated manner. The aim of the current paper was to provide a practical demonstration of this type of approach using a variety of state-of-the-science pathway-based tools. Studies conducted in 2012 and 2106 showed that contaminants in the upper part of the Maumee River reflect agricultural practices, while downstream, the suite of chemicals present includes those from agriculture in conjunction with contaminants more indicative of a general urban setting, influenced in some areas by WWTP inputs. Biological responses using in vitro assays with surface water samples, and measures of biological responses in caged fish deployed a various sites in the Maumee River were used to assess the potential for perturbation of specific biological pathways. Overall there was little evidence for contaminant effects on endocrine pathways involved is reproduction or development. However, multiple lines of evidence suggested the presence of contaminants that could inhibit or induce  cytochrome P450-based enzymes thereby influencing biological pathways/processes associated with these ubiquitous proteins. \n\nThis dataset is associated with the following publication:\nAnkley, G., J. Berninger, B. Blackwell, J. Cavallin, T. Collette, D. Ekman, K. Fay, D. Feifarek, K. Jensen, M. Kahl, J. Mosley, S. Poole, E. Randolph, D. Rearick, A. Schroeder, J. Swintek, and D. Villeneuve. Pathway-based approaches for assessing biological hazards of complex mixtures of contaminants: A case study in the Maumee River.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1098–1122, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520748",
      "keyword": [
        "contaminant mixtures",
        "field",
        "adverse outcome pathway",
        "endocrine disruption",
        "ecotoxicology",
        "aquatic ecosystems",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "Maumee Bay Science Hub File_Revised.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520748/Maumee%20Bay%20Science%20Hub%20File_Revised.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-01",
      "references": [
        "https://doi.org/10.1002/etc.4949"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A fulvic acid-like substance participates in the pro-inflammatory effects of cigarette smoke and wood smoke particles",
      "description": "We tested the postulate that 1) a fulvic acid (FA)-like substance is included in cigarette smoke and wood smoke particles and 2) exposure of respiratory epithelial cells to this substance results in a disruption of iron homeostasis associated with both a cell deficiency of the metal and inflammatory response. It was concluded that 1) FA-like substance is included in cigarette smoke and wood smoke particle and 2) respiratory epithelial cell exposure to this substance results in a disruption of iron homeostasis associated with both a cell deficiency of the metal and inflammatory response. \n\nThis dataset is associated with the following publication:\nGonzalez, D., J. Soukup, M. Madden, M. Hays, J. Berntsen, S. Paulson, and A. Ghio. A fulvic acid-like substance participates in the pro-inflammatory effects of cigarette smoke and wood smoke particles..   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 33(4): 999-1009, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504592",
      "keyword": [
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "ghioandrew_fulvicacid_fig5A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig5A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig5B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig5B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig6A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig6A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig6B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig6B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig7A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig7A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig7B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig7B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig8A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig8A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ghioandrew_fulvicacid_fig8B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504592/ghioandrew_fulvicacid_fig8B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-10",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.0c00036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Extrapolating In Vitro and Ex Vivo Screening Assay Data for Thyroperoxidase Inhibition to Predict Serum Thyroid Hormones in the Rat ",
      "description": "This data set is a dose response analysis of two thyroid hormone synthesis disruptors in adult male rats. Data included serum and thyroid gland concentrations of the two chemicals tested, propylthiouracil and methimazole, as well as serum and thyroid gland hormone concentrations. These data were critical for developing a model linking highthroughput assay data on synthesis inhibition to make predictions of thyroid hormone in serum. \n\nThis dataset is associated with the following publication:\nHassan, I., H. El-Masri, J. Ford, A. Brennan, S. Handa, K. Friedman, and M. Gilbert. Extrapolating In Vitro and Ex Vivo Screening Assay Data for Thyroperoxidase Inhibition to Predict Serum Thyroid Hormones in the Rat.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  173(2): 280-292, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504091",
      "keyword": [
        "Thyroperoxidase",
        "thyroid hormone",
        "mathematical model",
        "In vitro assay",
        "Ex vivo"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "PTU and MMI TPO Inhibition Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504091/PTU%20and%20MMI%20TPO%20Inhibition%20Data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz227"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LMR_spatial_temporal_analysis_data",
      "description": "This file includes the following data for 25 stream sites in the Little Miami River watershed: diatom operational taxonomic units with their numbers and relative abundances of rbcL gene sequence reads, watershed land cover, and nutrient concentration and conductivity data. \n\nThis dataset is associated with the following publication:\nYuan, L., N. Smucker, C. Nietch, and E. Pilgrim. Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  41(1): 100-112, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521154",
      "keyword": [
        "Algae",
        "metabarcoding",
        "nutrients",
        "phosphorus",
        "nitrogen",
        "streams",
        "watersheds",
        "causal assessment",
        "diatoms",
        "rbcL"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [
        {
          "title": "LMR_Stats_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521154/LMR_Stats_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-02",
      "references": [
        "https://doi.org/10.1086/718631"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LP QPCR vs Culture",
      "description": "Tap water samples measure for Legionella pneumophila  (by QPCR and culture), heterotrophic bacteria, and chlorine residual. \n\nThis dataset is associated with the following publication:\nDonohue, M. Quantification of Legionella pneumophila by qPCR and Culture in Tap Water with Different Concentrations of Residual Disinfectants and Heterotrophic Bacteria.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 774: 145142, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518684",
      "keyword": [
        "Legionella pneumophila",
        "qPCR",
        "culture",
        "chlorine residual",
        "tap water"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Lp QPCR vs Culture.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518684/SciHub%20Lp%20QPCR%20vs%20Culture.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-11",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145142"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrated Assessment Model for Valuing Water Quality Changes_BENSPLASH Input Data",
      "description": "Input to EPA BENSPLASH model for Republican River example.  Dataset contains COMID, DATE, PARAMETER, and VALUE.  The baseline file contains current information, the scenario file includes the results of applying the scenario described in the publication. \n\nThis dataset is associated with the following publication:\nCorona, J., T. Doley, C. Griffiths, M. Massey, C. Moore, S. Muela, B. Rashleigh, W. Wheeler, S. Whitlock, and J. Hewitt. An Integrated Assessment Model for Valuing Water Quality Changes in the US.   Land Economics. University of Wisconsin Press, Madison, WI, USA, 96(4): 478-492, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521093",
      "keyword": [
        "water quality benefits"
      ],
      "contactPoint": {
        "fn": "Brenda Rashleigh",
        "hasEmail": "mailto:rashleigh.brenda@epa.gov"
      },
      "distribution": [
        {
          "title": "BENSPLASHinput_scenario.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521093/BENSPLASHinput_scenario.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BENSPLASHinput_baseline.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521093/BENSPLASHinput_baseline.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-12",
      "references": [
        "https://doi.org/10.3368/wple.96.4.478"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1521093/documents/DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Pend Oreille River temperature and FLIR",
      "description": "Water temperature data from the Pend Oreille River, Washington and Idaho, 2016-2018\nThe data were collected summer, 2016, 2017, and 2018. Continuous temperature loggers were deployed along the Pend Oreille River between Albeni Falls Dam and the Box Canyon Dam. Loggers were checked every 1-2 weeks throughout the summer. \n\nThis dataset is associated with the following publication:\nMejia, F.H., C.E. Torgersen, E.K. Berntsen, J.R. Maroney, J.M. Connor, A.H. Fullerton, J. Ebersole, and M.S. Lorang. Longitudinal, lateral, vertical and temporal thermal heterogeneity in a large impounded river: implications for cold-water refuges.   Remote Sensing. MDPI AG, Basel,  SWITZERLAND, 12(9): 1386, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518646",
      "keyword": [
        "spatial statistical network model",
        "stream and river temperature",
        "thermal refuge",
        "Total Maximum Daily Load (TMDL)",
        "Pacific Northwest",
        "restoration"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/5c9d0e2ee4b0b8a7f62e0903",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5c9d0e2ee4b0b8a7f62e0903",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-23",
      "references": [
        "https://doi.org/10.3390/rs12091386"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raster outputs in support of Sea Level Affecting Marshes Model (SLAMM) projections for salt marshes of the Lower Delaware Bay",
      "description": "These raster files are associated with the SLAMM projections presented in the EPA report, \"Application of the Sea-Level Affecting Marshes Model (SLAMM) to the Lower Delaware Bay, with a Focus on Salt Marsh Habitat\" (https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NCEA&dirEntryId=344746). A subset of these projections are in turn presented in the journal article associated with the ScienceHub entry, \"Framework for assessing salt marsh vulnerability to sea level rise to support management decision making: Delaware Bay case study\".",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1517805",
      "keyword": [
        "Salt marsh",
        "Vulnerability",
        "sea level rise",
        "storm surge",
        "ecosystem condition",
        "sea level affecting marshes model",
        "adaptation",
        "management"
      ],
      "contactPoint": {
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1503846",
          "accessURL": "https://doi.org/10.23719/1503846",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "H2O2 quant_SciHub_2018",
      "description": "Data summary for each figure. \n\nThis dataset is associated with the following publication:\nLehmann, D., K. Krishnakuman, M. Batres, A. Hakola-Parry, N. Cokcetin, E. Harry, and D. Carter. A Cost Effective Colourimetric Assay for Quantifying Hydrogen Peroxide in Honey.   Access Microbiology. Microbiology Society, London,  UK, 1(10): e000065, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435502",
      "keyword": [
        "citizen science",
        "Hydrogen Peroxide"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "H2O2 quant_SciHub_2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1435502/H2O2%20quant_SciHub_2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-04",
      "references": [
        "https://doi.org/10.1099/acmi.0.000065"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acetamiprid in pollen_2018_Science Hub_Data.xlxs",
      "description": "Excel file with processed data used to generate each figure in the manuscript. \n\nThis dataset is associated with the following publication:\nCamp, A., M. Batres, W. Williams, R. Koethe, K. Stoner, and D. Lehmann. Effects of the neonicotinoid acetamiprid in pollen on Bombus impatiens microcolony development.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(12): 2560-2569, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518470",
      "keyword": [
        "bumble bee",
        "neonicotinoids",
        "acetamiprid",
        "microcolony",
        "pollen",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Acetamiprid in pollen_2018_ScienceHub_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518470/Acetamiprid%20in%20pollen_2018_ScienceHub_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-20",
      "references": [
        "https://doi.org/10.1002/etc.4886"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Final_Ozone_instrument_smoke_evaluation_data",
      "description": "EPA Federal Reference Method (FRM) and Federal Equivalent Method (FEM) ozone and supporting (carbon monoxide, nitrogen dioxide, nitrogen oxide, total hydrocarbon) measurements  were made during a combustion chamber experiment in April 2018 at the U.S. Forest Service Rocky Mountain Research Station laboratory (Missoula, MT). In addition, similar measurements were made from a mobile measurement platform in 2017 during a series of prescribed tallgrass prairie burns at Konza Prairie Biological Station (Kansas), Tallgrass Prairie National Preserve (Kansas), and Sycan Marsh Preserve (Oregon). \n\nThis dataset is associated with the following publication:\nLong, R., A. Whitehill, A. Habel, S. Urbanski, H. Halliday, M. Colon, S. Kaushik, and M. Landis. Comparison of Ozone Measurement Methods in Biomass Burning Smoke: An evaluation under field and laboratory conditions.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14(3): 1783-1800, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519325",
      "keyword": [
        "Ozone",
        "smoke",
        "UV-Photometric",
        "chemiluminescence"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "Final O3-Smoke public data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519325/Final%20O3-Smoke%20public%20data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay",
      "description": "Cell Painting is a high-throughput, phenotypic profiling assay that uses fluorescent cytochemistry o visualize a variety of organelles and high-content imaging to derive a large number of morphological features at the single cell level. Here, we used the Cell Painting assay to characterize the phenotypic effects of sixteen phenotypic reference chemicals in concentration- response screening mode across six biologically diverse human-derived cell lines (U-2 OS, MCF7, HepG2, A549, HTB-9, ARPE-19). All cell lines were labeled using the same cytochemistry protocol and the same set of phenotypic features were calculated. We found it necessary to optimize image acquisition settings and cell segmentation parameters for each cell type but did not adjust the cytochemistry protocol. For some reference chemicals, similar subsets of phenotypic features corresponding to a particular organelle were associated with the highest effect magnitudes in each affected cell type. Overall, for certain chemicals the Cell Painting assay yielded qualitatively similar biological activity profiles across a group of diverse, morphologically distinct human-derived cell lines without the requirement for cell-type specific optimization of cytochemistry protocols. \n\nThis dataset is associated with the following publication:\nWillis, C., J. Nyffeler, and J. Harrill. Phenotypic Profiling of Reference Chemicals Across Biologically Diverse Cell Types Using the Cell Painting Assay.   SLAS Discovery. SAGE Publications, THOUSAND OAKS, CA, USA, 25(7): 755-769, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520919",
      "keyword": [
        "high-content screening",
        "image analysis",
        "microscopy",
        "toxicology",
        "bioactivity screening",
        "high-throughput phenotypic profiling",
        "computational toxicology",
        "concentration response",
        "cell painting"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Harrill/ORD-034672/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Harrill/ORD-034672/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.14195270",
          "accessURL": "https://doi.org/10.23645/epacomptox.14195270",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-30",
      "references": [
        "https://doi.org/10.1177/2472555220928004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA ORD 2019 benthic survey of the Three Bays estuary, Barnstable, MA",
      "description": "Includes in-situ water quality measurements and sediment grab samples analyzed for grain size distribution, total organic carbon, and benthic macroinvertebrates (counts and taxa) for 25 stations throughout the estuary. Samples were collected September 9-11, 2019. \n\nThis dataset is associated with the following publication:\nErban, L., D. Cobb, C. Strobel, C. Tremper, J. Hagy, and T. Gleason. Summary of benthic conditions in the Three Bays estuary (Cape Cod, MA) as of 2019. U.S. Environmental Protection Agency, Washington, DC, USA, 2021.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520968",
      "keyword": [
        "benthic macroinvertebrates",
        "water quality",
        "habitat condition",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Laura Erban",
        "hasEmail": "mailto:erban.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "Computational notebook for Summary.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520968/Computational%20notebook%20for%20Summary.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520968/data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary of benthic conditions in the Three Bays estuary as of 2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520968/Summary%20of%20benthic%20conditions%20in%20the%20Three%20Bays%20estuary%20as%20of%202019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for Figures and Tables in SIX1 regulates aberrant endometrial epithelial cell differentiation and cancer trajectory",
      "description": "Data associated with the figures presented in this study are images, graphics, or tabulated data based on histopathologic analysis performed by a certified study pathologist or image analysis. Data for Tables 1 and 2 provide incidence, labeling scores, and p-values for statistical tests for uterine pathology and IHC expression by treatment group and timepoint or human endometrial tissue, as described in the Main Text file of the manuscript. Manual histopathologic data can be found in excel spreadsheets and are based on presence/absences (yes/no) of a pathologic finding and/or severity score as described in the manuscript (Fig. 1, 2, 3, 4). The image analysis data is based on the quantified area that is designated as “positive” for a particular immunohistochemical stain (Fig. 2, 4, and Suppl. Fig. S2). Supplementary Table 1 provides summary information on antibodies used for immunohistochemistry. Supplementary fig. S1 includes real time RT-PCR data standardized to a housekeeping gene and western blot data. \n\nThis dataset is associated with the following publication:\nSuen, A., W. Jefferson, C. Wood, and C. Williams. SIX1 regulates aberrant endometrial epithelial cell differentiation and cancer trajectory.   Molecular Cancer Research. American Association for Cancer Research, Inc., Philadelphia, PA, USA, 17(12): 2369-2382, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503409",
      "keyword": [
        "cancer",
        "estrogen",
        "early-life exposure",
        "development"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig. 1 2 3_Histopath Analysis_Charles Wood_Six1 WT dd CON DES_6 mo.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%201%202%203_Histopath%20Analysis_Charles%20Wood_Six1%20WT%20dd%20CON%20DES_6%20mo.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 1_Suen-Wallach_455-C36_ Electron Micro Report.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%201_Suen-Wallach_455-C36_%20Electron%20Micro%20Report.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 2 and Supp Fig. 2_Six1 Knockout DES_Image Analysis_Immuno2_Epithelium Analyzed.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%202%20and%20Supp%20Fig.%202_Six1%20Knockout%20DES_Image%20Analysis_Immuno2_Epithelium%20Analyzed.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 1 2 3_Histopath Analysis_Charles Wood_Six1 WT dd CON DES_12 mo.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%201%202%203_Histopath%20Analysis_Charles%20Wood_Six1%20WT%20dd%20CON%20DES_12%20mo.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 4_Human TMA Charles Wood Analysis_052518.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%204_Human%20TMA%20Charles%20Wood%20Analysis_052518.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supp Fig. 1_Real time RTPCR data all ages.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Supp%20Fig.%201_Real%20time%20RTPCR%20data%20all%20ages.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 2 and Supp Fig. 2_Six1 Knockout CON_Image Analysis_Immuno2_Epithelium Analyzed.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%202%20and%20Supp%20Fig.%202_Six1%20Knockout%20CON_Image%20Analysis_Immuno2_Epithelium%20Analyzed.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig. 4_Human TMA Image Analysis_051818.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503409/Fig.%204_Human%20TMA%20Image%20Analysis_051818.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-13",
      "references": [
        "https://doi.org/10.1158/1541-7786.mcr-19-0475"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data mining approaches to quantifying the formation of secondary organic aerosol",
      "description": "This research used data mining approaches to better understand factors affecting the formation of secondary organic aerosol (SOA). Although numerous laboratory and computational studies have been completed on SOA formation, it is still challenging to determine factors that most influence SOA formation. Experimental data were based on previous work described by Offenberg et al. (2017), where volume concentrations of SOA were measured in 139 laboratory experiments involving the oxidation of single hydrocarbons under different operating conditions. Three different data mining methods were used, including nearest neighbor, decision tree, and pattern mining. Both decision tree and pattern mining approaches identified similar chemical and experimental conditions that were important to SOA formation. Among these important factors included the number of methyl groups, the number of rings and the presence of dinitrogen pentoxide (N2O5). \n\nThis dataset is associated with the following publication:\nOlson, D., J. Offenberg, M. Lewandowski, T. Kleindienst, K. Docherty, M. Jaoui, J.D. Krug, and T. Riedel. Data mining approaches to understanding the formation of secondary organic aerosol.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 252: 118345, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519378",
      "keyword": [
        "data mining",
        "air quality",
        "Secondary Organic Aerosol",
        "air toxics",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub entry (Olson DM SOA).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519378/ScienceHub%20entry%20%28Olson%20DM%20SOA%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-24",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118345"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Migration corridor simulation - for second paper",
      "description": "The model scenario and associated outputs of the case study used to illustrate the migration corridor simulation model demonstrating fish fitness outcomes. \n\nThis dataset is associated with the following publication:\nSnyder, M., N. Schumaker, J. Dunham, M. Keefer, P. Leinenbach, A. Brookes, J. Palmer, J. Wu, D. Keenan, and J. Ebersole. Assessing contributions of coldwater refuges to reproductive migration corridor conditions for adult salmon and steelhead trout in the Columbia River, USA.   Journal of Ecohydraulics. Taylor & Francis Group, London,  UK,  1855086, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518728",
      "keyword": [
        "cold water refuge",
        "Salmon",
        "trout",
        "migration"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1503532",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1503532",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-03",
      "references": [
        "https://doi.org/10.1080/24705357.2020.1855086"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fish bio-energetics model metadata",
      "description": "The Oregon stream temperatures used in Fig. 1 were sourced from 58 sites monitored by the Oregon Department of Environmental Quality and 17 sites monitored by The United States Geological Survey. These data are publicly available at https://www.oregon.gov/deq/wq/Pages/WQdata.aspx and https://waterdata.usgs.gov/nwis/sw, respectively. The water temperature data used in Figs. 2–4 are posted on GitHub at https://github.com/chris3jordan/Growth-Potential.\nThe code for processing water temperature and growth potential data for Figs. 2–4 is posted on GitHub at https://github.com/chris3jordan/Growth-Potential. The code for the numerical simulation is posted on GitHub at https://github.com/aimeefullerton/growth_regime_IBM. \n\nThis dataset is associated with the following publication:\nArmstrong, J.B., A.H. Fullerton, C.E. Jordan, J. Ebersole, J.R. Bellmore, I. Arismendi, B. Penaluna, and G.H. Reeves. The importance of warm habitat to the growth regime of cold-water fishes.   Nature Climate Change. Nature Publishing Group, New York, NY, USA,  00994, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519040",
      "keyword": [
        "water quality",
        "wildfire",
        "refugia",
        "recovery",
        "resilience"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/chris3jordan/Growth-Potential",
          "accessURL": "https://github.com/chris3jordan/Growth-Potential",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.oregon.gov/deq/wq/Pages/WQdata.aspx",
          "accessURL": "https://www.oregon.gov/deq/wq/Pages/WQdata.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-12",
      "references": [
        "https://doi.org/10.1038/s41558-021-00994-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pulmonary and Vascular Effects of Acute Ozone Exposure in Diabetic Rats Fed an Atherogenic Diet",
      "description": "In this study, we investigated effects of inhaled ozone exposure and high-cholesterol diet (HCD) in healthy Wistar and Wistar-derived Goto-Kakizaki (GK) rats, a non-obese model of type 2 diabetes. Male rats (4-week old) were fed normal diet or HCD for 12 weeks and then exposed to filtered air or 1.0 ppm ozone (6hrs/day) for 1 or 2 days. We examined pulmonary, vascular, hematology, and inflammatory responses after each exposure plus an 18-hr recovery period. \n\nThis dataset is associated with the following publication:\nSnow, S., A. Henriquez, L. Thompson, C. Fisher, M.C. Schladweiler, C. Wood, and U. Kodavanti. Pulmonary and Vascular Effects of Acute Ozone Exposure in Diabetic Rats Fed an Atherogenic Diet.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 415(115430): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521140",
      "keyword": [
        "type 2 diabetes rat model",
        "Western high-cholesterol diet",
        "pulmonary injury",
        "systemic inflammation",
        "vasocontraction"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "GK-ozone Pulmonary Paper Science Hub-final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521140/GK-ozone%20Pulmonary%20Paper%20Science%20Hub-final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-30",
      "references": [
        "https://doi.org/10.1016/j.taap.2021.115430"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diets Enriched with Coconut, Fish, and Olive Oil Modify Peripheral Metabolic Effects of Ozone in Rats",
      "description": "In this study male Wistar Kyoto rats maintained on diets enriched with coconut, fish or olive oil were compared with animals receiving normal diet for 8 weeks. After 8 weeks of dietary regimen, and while on respective diets, animals were exposed to air or 0.8 ppm ozone for 4 hours per day for 2 consecutive days and necropsies were performed post air or ozone exposure within 2 hours. Body weights, food consumption and body composition were assessed during dietary regimen. At necropsy, livers were stained for lipids, serum lipids and metabolic hormones were assessed, and liver, muscle and adipose tissues are assessed for gene expression using targeted Illumina sequencing for selected genes. Based on reviewers comments during revision period, circulating n-3, n-6, n-9 and unsaturated fatty acids were assessed in the serum through collaboration with Jenifer I. Fenton and Travis Goeden, Michigan State University where samples were shipped for analysis of these lipids using mass spectrometry. These data were incorporated in the manuscript (Table 1) and part of figure 3. \n\nThis dataset is associated with the following publication:\nSnow, S., A. Henriquez, W. Cheng, A. Fisher, B. Vallanat, M. Angrish, J. Richards, M.C. Schladweiler, C. Wood, H. Tong, and U. Kodavanti. Diets Enriched with Coconut, Fish, and Olive Oil Modify Peripheral Metabolic Effects of Ozone in Rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 410(1): 115337, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521135",
      "keyword": [
        "olive oil enriched diet",
        "fish oil enriched diet",
        "circulating fatty acids",
        "Ozone",
        "liver",
        "adipose tissue",
        "muscle"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Ozone-diets TAAP 03-30-2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521135/Science%20Hub%20Ozone-diets%20TAAP%2003-30-2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-30",
      "references": [
        "https://doi.org/10.1016/j.taap.2020.115337"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Peripheral Metabolic Effects of Ozone Exposure in Healthy and Diabetic Rats on Normal or High-Cholesterol Diet",
      "description": "In this study, using male Wistar and Wistar-derived Goto-Kakizaki (GK) rats, which exhibit a non-obese type-2 diabetes phenotype, we investigated whether two key metabolic stressors, type-2 diabetes and a high-cholesterol atherogenic diet, exacerbate ozone-induced metabolic effects. Rats were fed a normal control diet (ND) or high-cholesterol diet (HCD) for 12 weeks starting at 4 week-age and then exposed to filtered air or 1.0-ppm ozone (6h/day) for 1 or 2 days. Metabolic responses were analyzed at the end of each day and after an 18-hour recovery period following the 2-day exposure. \n\nThis dataset is associated with the following publication:\nSnow, S., A. Henriquez, A. Fisher, B. Vallanat, J. House, M.C. Schladweiler, C. Wood, and U. Kodavanti. Peripheral Metabolic Effects of Ozone Exposure in Healthy and Diabetic Rats on Normal or High-Cholesterol Diet.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 415(115427): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521138",
      "keyword": [
        "Ozone",
        "type-2 diabetes rat model",
        "Western high-cholesterol diet",
        "metabolic response",
        "adipose tissue",
        "liver"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Metabolic Paper Science Hub-final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521138/Metabolic%20Paper%20Science%20Hub-final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-30",
      "references": [
        "https://doi.org/10.1016/j.taap.2021.115427"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Maternal High-Fat Diet Alters Offspring Response to an Acute Ozone Exposure",
      "description": "This data set for this manuscript is contained within one Excel file.The different tabs of the spreadsheet pertain to each figure found in the manuscript. This file was finalized on 2/1/19 to reflect any changes made to the figures in response to reviewers comments following submission to JTEH. \n\nThis dataset is associated with the following publication:\nSnow, S., P. Phillips, A. Ledbetter, A. Johnstone, M. Schladweiler, C. Gordon, and U. Kodavanti. The influence of maternal and perinatal high-fat diet on ozone-induced pulmonary responses in offspring. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 82(2): 86-98, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1502583",
      "keyword": [
        "high fat diet",
        "Ozone",
        "maternal obesity",
        "pulmonary injury"
      ],
      "contactPoint": {
        "fn": "Samantha Snow",
        "hasEmail": "mailto:snow.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "Influence of Maternal and Perinatal HFD on Ozone-Induced Pulmonary Responses in Offspring - Data for ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502583/Influence%20of%20Maternal%20and%20Perinatal%20HFD%20on%20Ozone-Induced%20Pulmonary%20Responses%20in%20Offspring%20-%20Data%20for%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-01",
      "references": [
        "https://doi.org/10.1080/15287394.2018.1564101",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530537"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Well-Being Domain and Composite Scores 2000-2017",
      "description": "This data set contains the average census tract-scale scores, from 2000-2013, for the composite HWBI, each domain within the HWBI, each indicator within domains, and each metric within indicators.  Domain and composite scores at the beginning and end of the study period (2000, 2013) are also given. \n\nThis dataset is associated with the following publication:\nYee, S., E. Paulukonis, and K. Buck. Downscaling a human well-being index for environmental management and environmental justice applications in Puerto Rico.   Applied Geography. ELSEVIER, AMSTERDAM,  HOLLAND, 123: 14, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503300",
      "keyword": [
        "human well-being",
        "spatial interpolation"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "FileDescriptions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/FileDescriptions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MetricNames.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/MetricNames.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Domain_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/HWBI_Merlin_Domain_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Indicator_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/HWBI_Merlin_Indicator_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PR_MunicipioScale_RawMetrics_2000-2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/PR_MunicipioScale_RawMetrics_2000-2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PR_TractScale_RawMetrics_2000-2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/PR_TractScale_RawMetrics_2000-2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Metric_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503300/HWBI_Merlin_Metric_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-12",
      "references": [
        "https://doi.org/10.1016/j.apgeog.2020.102231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Segregation_Indices_2015",
      "description": "There are two excel data sheets with index values for each of the five minority groups assessed. In addition, there are two zip files with shapefiles containing the same index values. \n\nThis dataset is associated with the following publication:\nBuck, K., K. Summers, and L. Smith. Investigating the relationship between environmental quality, socio-spatial segregation and the social dimension of sustainability in US urban areas.   Sustainable Cities and Society. Elsevier B.V., Amsterdam,  NETHERLANDS, 67(102732): 11, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502591",
      "keyword": [
        "segregation",
        "neighborhoods",
        "community",
        "resilience",
        "Vulnerability"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "Tract_Seg_Index.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502591/Tract_Seg_Index.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cnty_Seg_Index.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502591/Cnty_Seg_Index.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tract_Index_Shapefile.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502591/Tract_Index_Shapefile.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cnty_Index_Shapefile.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502591/Cnty_Index_Shapefile.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-24",
      "references": [
        "https://doi.org/10.1016/j.scs.2021.102732"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502591/documents/Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "HWBI Domain and Services Metrics for Puerto Rico 2000-2017",
      "description": "This data set provides the compile metrics for HWBI domains and services for Puerto Rico from 2000-2017, as well as the downscaled and scaled metrics and aggregated indicators used for statistical analyses. \n\nThis dataset is associated with the following publication:\nYee, S. Contributions of Ecosystem Services to Human Well-being in Puerto Rico.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 12(22): 38, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519429",
      "keyword": [
        "ecosystem services",
        "human well-being",
        "spatial interpolation"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Services_RawMetrics_TractScale_2000_2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Services_RawMetrics_TractScale_2000_2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Services_RawMetrics_MunicipioScale_2000_2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Services_RawMetrics_MunicipioScale_2000_2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Services_MetricNames.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Services_MetricNames.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Service_Merlin_Service_Scores_RegStep5tr_Z.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Service_Merlin_Service_Scores_RegStep5tr_Z.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Service_Merlin_Metric_Scores_RegStep5tr_Z.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Service_Merlin_Metric_Scores_RegStep5tr_Z.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Service_Merlin_Indicator_Scores_RegStep5tr_Z.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/Service_Merlin_Indicator_Scores_RegStep5tr_Z.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_RawMetrics_TractScale_2000_2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_RawMetrics_TractScale_2000_2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_RawMetrics_MunicipioScale_2000_2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_RawMetrics_MunicipioScale_2000_2017.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_MetricNames.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_MetricNames.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Metric_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_Merlin_Metric_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Indicator_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_Merlin_Indicator_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBI_Merlin_Domain_Scores_RegStep4tr_Z2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/HWBI_Merlin_Domain_Scores_RegStep4tr_Z2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FileDescriptions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519429/FileDescriptions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-23",
      "references": [
        "https://doi.org/10.3390/su12229625"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainability Index _MSAs",
      "description": "Calculation of average sustainability in US Metropolitan and Micropolitan areas. Three domains of sustainability are measured: economic, social, and environmental. \n\nThis dataset is associated with the following publication:\nBuck, K., K. Summers, and L. Smith. Investigating the relationship between environmental quality, socio-spatial segregation and the social dimension of sustainability in US urban areas.   Sustainable Cities and Society. Elsevier B.V., Amsterdam,  NETHERLANDS, 67(102732): 11, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519308",
      "keyword": [
        "sustainability",
        "Social economical status",
        "environmental quality",
        "economic analysis",
        "segregation",
        "neighborhoods",
        "community",
        "resilience",
        "Vulnerability"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "Sustainability_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519308/Sustainability_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1016/j.scs.2021.102732"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519308/documents/Sustainability%20Index%20Metadata.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Pensacola watershed case study",
      "description": "This data set contains the spatial layers that were input into ecosystem services models (Maps.zip), including the A2 and B1 landuse change scenarios, and the polygon boundaries for the Pensacola watershed.  This dataset also includes the future climate data (ClimateData.csv) used in scenarios.  Model output for 20 stochastic runs of each A2 and B1 scenario is included in three files: 1) the calculated ES metrics that were used to calculate ES indicators (ESMetrics_CountyYearly.xlsx), 2) the scaled ES indicators used as input into HWBI regression models (ESIndicators_CountyYearly.xlsx), and 3) the calculated HWBI Domain and composite scores (HWBIDomains_CountyYearly.xlsx). \n\nThis dataset is associated with the following publication:\nYee, S., E. Paulukonis, C. Simmons, M. Russell, R. Fulford, L. Harwell, and L. Smith. Projecting effects of land use change on human well-being through changes in ecosystem services.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 440(109358): 20, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503346",
      "keyword": [
        "Human Well-Being Index",
        "Forecasting",
        "ecosystem services",
        "Relationship Functions",
        "land-use change"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "ESIndicators_CountyYearly.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503346/ESIndicators_CountyYearly.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ClimateData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503346/ClimateData.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ESMetrics_CountyYearly.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503346/ESMetrics_CountyYearly.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HWBIDomains_CountyYearly.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503346/HWBIDomains_CountyYearly.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Maps.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503346/Maps.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-30",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2020.109358"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Independent roles of beta-adrenergic and glucocorticoid receptors in systemic and pulmonary effects of ozone",
      "description": "A manuscript describing the independent roles of beta adrenergic and glucocorticoid receptors in mediating ozone-induced pulmonary and systemic effects. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow, M.C. Schladweiler, C. Miller, and U. Kodavanti. Independent roles of beta-adrenergic and glucocorticoid receptors in systemic and pulmonary effects of ozone.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 32(4): 155-169, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517608",
      "keyword": [
        "Ozone",
        "adrenergic receptors",
        "glucocorticoid receptor",
        "lung injury and inflammation",
        "systemic metabolic effects",
        "Stress Response",
        "glucocorticoid receptors",
        "lung injury",
        "metabolic response"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of ScienceHub data - Henriquez et al. 2020 Inh Tox.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517608/Copy%20of%20ScienceHub%20data%20-%20Henriquez%20et%20al.%202020%20Inh%20Tox.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-21",
      "references": [
        "https://doi.org/10.1080/08958378.2020.1759736"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PRISM Scaled Dataset",
      "description": "Data for 2015 US Census Tracts includes multi-hazard exposure estimates for 12 natural hazards. There are also estimates of loss, vulnerability, and risk for land area, population, and property within each tract. \n\nThis dataset is associated with the following publication:\nBuck, K., and K. Summers. Application of a multi-hazard risk assessment for local planning.   Geomatics, Natural Hazards and Risk. Taylor & Francis Group, London,  UK, 11(1): 2058-2078, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519307",
      "keyword": [
        "multi-hazard",
        "Risk",
        "exposure",
        "loss",
        "index",
        "policy",
        "local"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "Buck_PRISM Scaled ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519307/Buck_PRISM%20Scaled%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-01",
      "references": [
        "https://doi.org/10.1080/19475705.2020.1828190"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519307/documents/PRISM%20Scaled%20ScienceHub%20Metadata.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for effects resulting from exposure to dioxin, and observed survival and fecundity by age and size for unexposed populations",
      "description": "These laboratory data for estimates of change in fertility and survival rates observed relative to control (unexposed) conditions for fundulus heteroclitus exposed to varying levels of 2,3,7,8-tetrachlorodibenzo-p-dioxin including 112, 296, and 875 pg/g are relative rates, and thus they are unitless.\n\nThe data for observed survival and fecundity by age and size for populations of fundulus heteroclitus that were considered unexposed to chemical stressors contains the following units:  survival rates are fraction surviving per year and fecundity rates are eggs per year. \n\nThis dataset is associated with the following publication:\nMiller, D., B. Clark, and D. Nacci. A multidimensional density dependent matrix population model for assessing risk of stressors to fish populations.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 201: 1-8, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504161",
      "keyword": [
        "population ecology",
        "density dependence",
        "matrix models",
        "ecological risk assessment"
      ],
      "contactPoint": {
        "fn": "David Miller",
        "hasEmail": "mailto:miller.davidh@epa.gov"
      },
      "distribution": [
        {
          "title": "Data For Observed Survival And Fecundity By Age And Size (Table 2) .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504161/Data%20For%20Observed%20Survival%20And%20Fecundity%20By%20Age%20And%20Size%20%28Table%202%29%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data For Effects Resulting From Exposure To Dioxin (Table 1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504161/Data%20For%20Effects%20Resulting%20From%20Exposure%20To%20Dioxin%20%28Table%201%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-05",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2020.110786"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Intersection of Natural Hazard Vulnerability and RCRA Site Location",
      "description": "Co-occurrence of natural hazard exposures and RCRA site locations at the county level where natural hazards are in the top quartile of exposures. \n\nThis dataset is associated with the following publication:\nSummers, K., A. Lamper, and K. Buck. National Hazards Vulnerability and the Remediation, Restoration and Revitalization of Contaminated Sites – 2. RCRA Sites..   Sustainability. MDPI AG, Basel,  SWITZERLAND, 13(2): 16, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520858",
      "keyword": [
        "RCRA",
        "natural hazards",
        "exposure",
        "toxic releases"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "CRSIRCRA_FrequencyTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520858/CRSIRCRA_FrequencyTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-04",
      "references": [
        "https://doi.org/10.3390/su13020965"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520858/documents/Data%20Dictionary_RCRA-CRSI.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Intersection of Natural Hazard Vulnerability and Superfund Site Location",
      "description": "Spreadsheet lists all active and upcoming Superfund sites and their vulnerability to 12 natural hazards using a vulnerability score between 0 and 100. \n\nThis dataset is associated with the following publication:\nSummers, K., A. Lamaper, and K. Buck. National Hazards Vulnerability and the Remediation, Restoration and Revitalization of Contaminated Sites – 1. Superfund.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA,  14, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519284",
      "keyword": [
        "Superfund",
        "natural hazards",
        "exposure",
        "toxic releases"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "SF_CRSI_OLEM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519284/SF_CRSI_OLEM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-26",
      "references": [
        "https://doi.org/10.1007/s00267-021-01459-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519284/documents/Data%20Dictionary_SF-CRSI.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "ESR1 expression and DNA methylation data for FHM exposed to EE2",
      "description": "This dataset contains data for adult male fathead minnows exposed to EE2 (a synthetic estrogen). It is a targeted study on the response of the esr1 gene (expression and DNA methylation profiles) to estrogen exposure. It contains mean and standard deviation for DNA methylation levels per treatment group, and gene expression data. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521251",
      "keyword": [
        "estrogen receptor",
        "epigenetics",
        "DNA methylation",
        "gene expression",
        "fathead minnow",
        "esr1"
      ],
      "contactPoint": {
        "fn": "Janine Fetke",
        "hasEmail": "mailto:fetke.janine@epa.gov"
      },
      "distribution": [
        {
          "title": "esr1 meta data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521251/esr1%20meta%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization data for trout liver S9 fractions used by Droge et al to measure the in vitro intrinsic clearance of cationic surfactants",
      "description": "This ScienceHub dataset provides characterization data for a pooled sample of trout liver S9 fractions that was used to study the in vitro intrinsic clearance of selected cationic surfactants.  These data describe the activity of the pooled sample toward prototypical substrates for cytochrome P450 (CYP) 1A, glutathione-S-transferase, and UDP-glucuronosyltranserase.  Also provided are the protein content and total CYP content of the sample and well as information pertaining to the size and gender of fish from which the original sample was obtained. \n\nThis dataset is associated with the following publication:\nDroge, S., J. Armitage, J. Arnot, P. Fitzsimmons, and J. Nichols. Biotransformation Potential of Cationic Surfactants in Fish Assessed with Rainbow Trout Liver S9 Fractions.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(11): 3123-3136, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521160",
      "keyword": [
        "rainbow trout",
        "cationic surfactant",
        "bioaccumulation assessment",
        "liver S9 fraction",
        "biotransformation"
      ],
      "contactPoint": {
        "fn": "Patrick Fitzsimmons",
        "hasEmail": "mailto:fitzsimmons.patrick@epa.gov"
      },
      "distribution": [
        {
          "title": "Droge et al_cationic surfactants_ScienceHub_entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521160/Droge%20et%20al_cationic%20surfactants_ScienceHub_entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1002/etc.5189",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative response-response relationships linking aromatase inhibition to decreased fecundity are conserved across three fishes with asynchronous oocyte development",
      "description": "Data used in the creation of each figure and table cited in Doering et al. (2019; DOI: 10.1021/acs.est.9b02606) are provided. \n\nThis dataset is associated with the following publication:\nDoering, J., D. Villeneuve, S. Poole, B. Blackwell, K. Jensen, M. Kahl, A. Kittelson, D. Feifarek, C. Tilton, C. Lalone, and G. Ankley. Quantitative response-response relationships linking aromatase inhibition to decreased fecunditiy are conserved across three fishes with asynchronous oocyte development.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(17): 10470-10478, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503690",
      "keyword": [
        "japanese medaka",
        "zebrafish",
        "fathead minnow",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "qAOP Draft Manuscript Data 04-16-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503690/qAOP%20Draft%20Manuscript%20Data%2004-16-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-16",
      "references": [
        "https://doi.org/10.1021/acs.est.9b02606"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Application of a multiplex salivary immunoassay to detect sporadic incident norovirus infections ",
      "description": "Epidemiology data from beachgoers including demographic details. Results from saliva tests for markers of  infection with waterborne pathogens. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Tim Wade (wade.tim@epa.gov) for details regarding data access. Format: Data are stored in SAS datasets and MS Excel files. Data are documented with codebooks in MS Word describing variables. \n\nThis dataset is associated with the following publication:\nWade, T., S. Griffin, A. Egorov, E. Sams, E. Hudgens, S. Augustine, S. Deflorio-Barker, T. Plunkett, A. Dufour, J. Styles, and K. Oshima. Application of a multiplex salivary immunoassay to detect sporadic incident norovirus infections.   Scientific Reports. Nature Publishing Group, London,  UK, 9(19576): 1, (2019).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504465",
      "keyword": [
        "beach water quality",
        "swimming",
        "diarrhea"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2019-09-01",
      "references": [
        "https://doi.org/10.1038/s41598-019-56040-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Estuarine Habitat and Juvenile Dungeness Crab Data (2010-2011)",
      "description": "This dataset contains juvenile Dungeness crab (Cancer magister) abundance data and associated habitat data from three estuaries in Oregon (Tillamook, Yaquina, and Alsea bays).  These data were collected by EPA surveys in 2010-2011.  Additionally, this dataset includes areal data on National Wetlands Inventory (NWI) habitat classes within our study areas. \n\nThis dataset is associated with the following publication:\nLewis, N., D. Young, C. Folger, and T. DeWitt. Assessing the Relative Importance of Estuarine Nursery Habitats – a Dungeness Crab (Cancer magister) Case Study.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA,  s12237-020-00821-1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1517800",
      "keyword": [
        "ecosystem services",
        "estuary",
        "fishery",
        "shellfish",
        "habitat",
        "ecological production function",
        "final ecosystem goods and services (FEGS)"
      ],
      "contactPoint": {
        "fn": "Theodore Dewitt",
        "hasEmail": "mailto:dewitt.ted@epa.gov"
      },
      "distribution": [
        {
          "title": "Crabs&Habitat_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517800/Crabs%26Habitat_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-13",
      "references": [
        "https://doi.org/10.1007/s12237-020-00821-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Case study in 21st century ecotoxicology:  using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish",
      "description": "This research was designed to evaluate whether a biologically-based computational model aligned with an adverse outcome pathway (AOP) could effectively predict animal (in vivo) responses to chemicals shown to inhibit the enzyme aromatase in a non-animal (in vitro) screening assays. Aromatase is an enzyme that plays a critical role in the synthesis of estrogens, an important class of hormones, and chemicals that inhibit aromatase are viewed as probable endocrine disrupting compounds. Although the model was not able to accurately predict the average in vivo responses observed for all chemicals tested, there was strong qualitative to semi-quantitative agreement with the proposed AOP and predictions did fall within the distribution of measured values. Consequently, this “new approach methodology” likely has utility for screening-level assessments. This work helps to establish the confidence and limitations of this approach.\nThe data set includes:\n1) High throughput screening results for chemicals identified as aromatase inhibitors. 2) Novel in vitro aromatase inhibition data for six chemicals. 3) Modeled predictions of impacts on 17b-estradiol and vitellogenin concentrations over a range of concentrations. 4) Measured biological effects of 3 aromatase inhibitors in fathead minnows exposed for 24 h. 5) Measured plasma and water concentrations of the test chemicals. \n\nThis dataset is associated with the following publication:\nVilleneuve, D., B. Blackwell, J. Cavallin, W. Cheng, R. Conolly, D. Feifarek, K. Jensen, M. Kahl, R. Milsk, S. Poole, E. Randolph, T. Saari, and G. Ankley. Case study in 21st century ecotoxicology:  Using in vitro aromatase inhibition data to predict short term in vivo responses in adult female fish.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(4): 1155-1170, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520048",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Formatted Aromatase inhib QAOP MS Part 1 Science Hub 2020-10-02.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520048/Formatted%20Aromatase%20inhib%20QAOP%20MS%20Part%201%20Science%20Hub%202020-10-02.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-06",
      "references": [
        "https://doi.org/10.1002/etc.4968"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Xenpous leavis deiodinase type 3 enzyme activity characterization and chemical screening data",
      "description": "Data set includes optimized assay parameters and kinetic characterization for xenopus laevis deiodinase type 3 enzyme, and inhibition activity of 352 ToxCast chemicals against this enzyme. \n\nThis dataset is associated with the following publication:\nMayasich, S., J. Korte, J. Denny, P. Hartig, J. Olker, P. Degoey, J. O'Flanagan, S. Degitz, and M. Hornung. Xenopus laevis and human type 3 iodothyronine deiodinase enzyme cross-species sensitivity to inhibition by ToxCast chemicals.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  73: 105141, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504033",
      "keyword": [
        "Xenopus",
        "thyroid",
        "deiodinase",
        "Enzyme activity"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "200714_Mayasich_et_al_Xldio3 screening data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504033/200714_Mayasich_et_al_Xldio3%20screening%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-19",
      "references": [
        "https://doi.org/10.1016/j.tiv.2021.105141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessment of Mercury Cycling in the St Louis River, MN using Mercury and Food Web (Carbon and Nitrogen) Stable Isotopes: U.S. Geological Survey Data Release",
      "description": "Mercury concentration, mercury stable isotope ratio, and carbon and nitrogen stable isotope ratio data as applicable for sediment, water, invertebrates, and fish collected from the St. Louis River Area of Concern (MN-WI) and the associated reference site, the lower Bad River (WI). \n\nThis dataset is associated with the following publication:\nJanssen, S., J. Hoffman, R. Lepak, D. Krabbenhoft, D. Walters, C. Eagles-Smith, G. Peterson, J. Ogorek, J. DeWild, A. Cotter, M. Pearson, M. Tate, R. Yeardley, and M. Mills. Examining historical mercury sources in the St. Louis River estuary: How legacy contamination influences biological mercury levels in Great Lakes coastal regions.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 779: 146284, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520946",
      "keyword": [
        "mercury",
        "bioaccumulation",
        "food web",
        "Great Lakes",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/5f43b20582ce4c3d1222d29e",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5f43b20582ce4c3d1222d29e",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-08-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.146284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Advancing translational research in environmental science: The role and impact of social science",
      "description": "Our dataset are transcripts and codebooks for a focus group study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Contact Katie Williams, williams.kathleen@epa.gov. Format: The data are transcripts and protected by IRB approvals. \n\nThis dataset is associated with the following publication:\nEisenhauer, E., K. Williams, K. Margeson, S. Paczuski, K. Mulvaney, and M.C. Hano. Advancing translational research in environmental science: The role and impact of social science.   Environmental Science & Policy. Elsevier Science Ltd, New York, NY, USA, 120: 165-172, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy; EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521080",
      "keyword": [
        "social science",
        "solutions-driven research",
        "interdisciplinary research",
        "applied social science"
      ],
      "contactPoint": {
        "fn": "Kathleen Williams",
        "hasEmail": "mailto:williams.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-06",
      "references": [
        "https://doi.org/10.1016/j.envsci.2021.03.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber--Data Set",
      "description": "The data set contains all data used to generate the figures included in the publication, Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber surfaces1.  The data is arranged by figures and the excel spreadsheet tabs indicate the figure the data is from.  All the data presented in the excel file is clearly labeled.\n\n1. Thornton, S.B.; Boggins, S.J.; Peloquin, D.M.; Luxton, T.P. and Clar, J.G. (2020). Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber. Science of the Total Environment 737: 7. \n\nThis dataset is associated with the following publication:\nThorton, S.B., S.J. Boggins, D.M. Peloquin, T.P. Luxton, and J.G. Clar. Release and transformation of nanoparticle additives from surface coatings on pristine & weathered pressure treated lumber.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 737: 139451, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521323",
      "keyword": [
        "Nanoparticles",
        "nanomaterials",
        "Chemical Transforation",
        "zinc",
        "Speciation",
        "consumer products"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "ConsumerProducts-Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521323/ConsumerProducts-Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.139451"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone- Induced Acute Phase Response in Lung Versus Liver: The Role of Adrenal-Derived Stress Hormones",
      "description": "The data set pertains to the published research results in a given paper. \nIndividual observations are shown for each pertaining figure or table in the paper.\n\nEach page pertaining to a given table or figure contain biological observations/data for given end point for each individual observation/animal. Experimental observations- animal number, treatment, exposure condition, time point, and parameters assessed are shown in the columns. Each raw shows data for individual animal/replicate for a given condition. Each page also contains copied graph/table published in the paper pertaining to the data on the page. \n\nThis dataset is associated with the following publication:\nAlewel, D., A. Henriquez, C. Colonna, S. Snow, M.C. Schladweiler, C. Miller, and U. Kodavanti. Ozone-Induced Acute Phase Response in Lung Versus Liver: The Role of Adrenal-Derived Stress Hormones.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 84(6): 235-248, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521132",
      "keyword": [
        "Ozone",
        "acute phase response",
        "acute phase genes",
        "lung",
        "liver",
        "neuroendocrine",
        "adrenal-derived stress hormones"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Acute Phase Response ScienceHub JTEH Devin Alewel 2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521132/Acute%20Phase%20Response%20ScienceHub%20JTEH%20Devin%20Alewel%202020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1080/15287394.2020.1858466"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used to produce figures and tables",
      "description": "The dataset are the data used to produce figure in manuscript. \n\nThis dataset is associated with the following publication:\nTang, M., D. Lytle, and J. Botkins. Accumulation and Release of Arsenic from Cast Iron: Impact of Initial Arsenic and Orthophosphate Concentrations.    WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 194: 116942, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519151",
      "keyword": [
        "arsenate",
        "accumulation and release",
        "cast iron scale",
        "orthophosphate corrosion control",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Arsenic_Data_Clearance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519151/Arsenic_Data_Clearance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-15",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.116942"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in tables or figure.",
      "description": "The dataset  included is data used to produce figures in manuscript. \n\nThis dataset is associated with the following publication:\nLytle, D., C. Formal, E. Dore, C. Muhlen, S. Harmon, D. Williams, S. Triantafyllidou, and M. Pham. SYNTHESIS AND CHARACTERIZATION OF STABLE LEAD (II) ORTHOPHOSPHATE NANOPARTICLE SUSPENSIONS.   JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH, PART A. Marcel Dekker Incorporated, New York, NY, USA, 55(13): 1504-1512, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518478",
      "keyword": [
        "lead",
        "Orthophosphate",
        "Nanoparticle",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "StableNanoparticleData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518478/StableNanoparticleData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-14",
      "references": [
        "https://doi.org/10.1080/10934529.2020.1810498"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The environmental impacts and life cycle cost of co-digestion energy recovery from food waste in medium scale wastewater treatment facility",
      "description": "The dataset includes the LCA, LCIA, LCC, sensitivity analysis for the wastewater treatment expansion for co-digestion with food waste. \n\nThis dataset is associated with the following publication:\nMorelli, B., S. Cashman, X. Ma, J. Turgeon, S. Arden, and J. Garland. Environmental and Cost Benefits of Co-Digesting Food Waste at Wastewater Treatment Plants.   WATER SCIENCE AND TECHNOLOGY. IWA Publishing, London,  UK, 82(2): 227-241, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503070",
      "keyword": [
        "resource recovery",
        "energy recovery",
        "food waste",
        "net zero",
        "Life cycle assessment (LCA)",
        "LCC",
        "biogas"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "MA Case Study LCIA Results.final.5.30.19_macro-free.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503070/MA%20Case%20Study%20LCIA%20Results.final.5.30.19_macro-free.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-30",
      "references": [
        "https://doi.org/10.2166/wst.2020.104"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Evaluation of Drinking Water Treatment and Monitoring Technologies to Improve Public Health in Non-PRASA Communities in Puerto Rico",
      "description": "Project pathogen results and water quality monitoring data ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521085",
      "keyword": [
        "citizen science",
        "drinking water",
        "sand filtration",
        "E. coli",
        "total coliform",
        "B. globigii",
        "turbidity sonde",
        "disinfectant sonde"
      ],
      "contactPoint": {
        "fn": "Craig Patterson",
        "hasEmail": "mailto:patterson.craig@epa.gov"
      },
      "distribution": [
        {
          "title": "R2RAREReportDataSetScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521085/R2RAREReportDataSetScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw Data for Mechanistic Toxicity Tests Based on an Adverse Outcome Pathway Network for Hepatic Steatosis",
      "description": "Supplementary Files 1-15 contain the generated assay data that was used to establish BMAD and determine treatment effects. The tabbed spreadsheet data is formatted so that it can be directly analyzed, once converted to individual comma-separated values (.csv) files, using the R code provided in Supplementary File 16. Column headings are described in the supplemental file 'Metadata Glossary.docx'. \n\nThis dataset is associated with the following publication:\nAngrish, M., C. McQueen, E. Hubal, M. Bruno, Y. Ge, and B. Chorley. Mechanistic Toxicity Tests Based on an Adverse Outcome Pathway Network for Hepatic Steatosis.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  159(1): 159-169, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1376696",
      "keyword": [
        "adverse outcome pathway",
        "chemical risk assessment",
        "high-throughput toxicity testing",
        "mechanistic toxicology",
        "non-alcoholic fatty liver disease",
        "hepatic steatosis"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting_files_1-15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376696/Supporting_files_1-15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supp File 16.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1376696/Supp%20File%2016.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-24",
      "references": [
        "https://doi.org/10.1093/toxsci/kfx121",
        "https://pasteur.epa.gov/uploads/10.23719/1376696/documents/Metadata%20Glossary.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Effects of Combinations of Limited Ration and Diazinon Exposure on Acetylcholinesterase Activity, Growth, and Reproduction in Oryzias latipes, the Japanese medaka ",
      "description": "Environmental contamination can negatively impact fish populations. In addition to acute toxicity leading to death, toxicants can reduce fish growth and lower reproduction. The potential for adverse population level effects of environmental contaminants are estimated from laboratory toxicity tests that most often measure apical endpoints related to growth, survival, and reproduction. The relationships between these endpoints are being evaluated to better predict shifts in fish population demography after exposure to environmental toxicants. Environmental contaminants can also affect fish populations indirectly by reducing prey biomass. However, estimating the combined effects of prey reduction and direct toxicity is difficult and rarely attempted. Here we describe a toxicity test designed to estimate the effect on Japanese medaka of both reduced food and chronic exposure to diazinon, an acetylcholinesterase inhibiting organophosphate pesticide. Fish were reared with limited food ration and/or diazinon exposure through a full life-cycle to assess possible interactions between the two stressors in their effects on growth and reproduction. Diazinon exposure, reduced ration, or combinations of both lowered growth rates and reproductive output of Japanese medaka. Various relationships between the two stressors (diazinon and ration) and growth and reproduction were modeled. These results inform fish models being developed by EPA to predict population consequences of chemical exposures. \n\nThis dataset is associated with the following publication:\nFlynn, K., J. Swintek, F. Whiteman, and M. Etterson. The effects of combinations of limited ration and diazinon exposure on acetylcholinesterase activity, growth, and reproduction in Oryzias latipes, the Japanese medaka.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(4): 535-547, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504073",
      "keyword": [
        "japanese medaka",
        "growth",
        "reproduction",
        "Ecological model",
        "aquatic toxicity",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-031626 Diazinon Ration Science Hub Data File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504073/ORD-031626%20Diazinon%20Ration%20Science%20Hub%20Data%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-11",
      "references": [
        "https://doi.org/10.1002/jat.3925"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EE2_FHM_larva_RNASeq_20210309a_GSE160535",
      "description": "The data are maintained at the National Center for Biotechnology Information (NCBI) GEO depository https://www.ncbi.nlm.nih.gov/geo/ .  There are three accession numbers (which can be entered at this site):\n•\tGSE160535 - Development of omic biomarkers for Fathead minnow larva (Pimephales promelas) exposed to ethinyl estradiol\n   A superseries which links to the two separate data sets from the same experiment (below)\n•\tGSE158857 - Development of omic biomarkers for Fathead minnow larva (Pimephales promelas) exposed to ethinyl estradiol [non-coding small RNA]\n   The non-coding small RNA dataset (includes microRNA and PIWI-RNA data and metadata\n•\tGSE160520 - Development of omic biomarkers for Fathead minnow larva (Pimephales promelas) exposed to ethinyl estradiol [mRNA]\n   The mRNA data set including metadata. \n\nThis dataset is associated with the following publication:\nToth, G., J. Martinson, D. Bencic, D. Lattier, M. Kostich, and A. Biales. Development of omcis biomarkers for estrogen exposure using mRNA, miRNA and piRNAs.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 235: 105807, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520955",
      "keyword": [
        "estrogen",
        "transcriptome",
        "fathead minnow",
        "non-coding RNA"
      ],
      "contactPoint": {
        "fn": "Gregory Toth",
        "hasEmail": "mailto:toth.greg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-11",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2021.105807"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520955/documents/EE2_FHM_larva_RNASeq_20210309a_GSE160535_DDict.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "HepRG exposed to microcystin LR and RR gene expression",
      "description": "RNA-seq data from HepaRG cells exposed for 2 hours to microcystin-LR and -RR at multiple concentrations each. \n\nThis dataset is associated with the following publication:\nBiales, A., D. Bencic, R. Flick, A. Delacruz, D. Gordon, and W. Huang. Global transcriptomic profiling of microcystin-LR or -RR treated hepatocytes (HepaRG)..   Toxicon: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 8: 100060, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520947",
      "keyword": [
        "microcystin",
        "RNA-Seq",
        "cyanobacteria",
        "gene expression",
        "hepatocytes"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147999.",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147999.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-15",
      "references": [
        "https://doi.org/10.1016/j.toxcx.2020.100060"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An examination of national cancer risk based on monitored hazardous ambient air pollutants",
      "description": "An examination of national cancer risk based on monitored hazardous ambient air pollutants. \n\nThis dataset is associated with the following publication:\nWeitekamp, C., M. Lein, M. Strum, M. Morris, T. Palma, D. Smith, L. Kerr, and M. Stewart. An Examination of National Cancer Risk Based on Monitored Hazardous Air Pollutants.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(3): 1-12, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517803",
      "keyword": [
        "air toxics",
        "cancer risk",
        "hazardous air pollutants"
      ],
      "contactPoint": {
        "fn": "Michael Stewart",
        "hasEmail": "mailto:stewart.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "data_Ajwtg_20210310.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517803/data_Ajwtg_20210310.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-14",
      "references": [
        "https://doi.org/10.1289/ehp8044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "colloid-size copper-based pesticides and wood preservatives against microbial activities of Gram-positive Bacillus species ",
      "description": "Copper-based pesticides and wood preservative fungicides could end up in the environment during production, use, and end-of-life via different pathways that could cause unintended ecological and adverse health effects. This paper provides the effect of colloid-size Cu-based pesticides, micronized Cu azole and alkaline Cu quaternary (ACQ) treated woods, ionic Cu, ionic Cu spiked untreated wood (UTW), and CuCO3 solutions against Gram-positive Bacillus species using five-day biochemical oxygen demand  standard test. \n\nThis dataset is associated with the following publication:\nTegenaw, A., G.A. Sorial , and E. Sahle-Demessie. Effect of colloid-size copper-based pesticides and wood preservatives against microbial activities of Gram-positive Bacillus species using five-day biochemical oxygen demand test.   Journal of Environmental Sciences. Elsevier BV, AMSTERDAM,  NETHERLANDS, 105: 71-80, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520885",
      "keyword": [
        "Bacillus species",
        "BOD5",
        "Colloid-size Cu-based pesticides",
        "Leaching",
        "Wood preservatives"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "Ayu_Cu-NPs_Supplemental Data_Journal of Environmental Management.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520885/Ayu_Cu-NPs_Supplemental%20Data_Journal%20of%20Environmental%20Management.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ayu_Paper_Figure_file.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520885/Ayu_Paper_Figure_file.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ayu_Manuscript_Journal of Environmental Management GS and Sahle Demmessie edits (003).docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520885/Ayu_Manuscript_Journal%20of%20Environmental%20Management%20GS%20and%20Sahle%20Demmessie%20edits%20%28003%29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-20",
      "references": [
        "https://doi.org/10.1016/j.jes.2020.12.037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520885/documents/Data%20Dictionary_Copper_Nanopesticide.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "NLA_52_lakes_all_TP_data",
      "description": "Total Phosphorus composite monitoring data set for 52 lakes. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518517",
      "keyword": [
        "lake",
        "stream",
        "phosphorus",
        "enrichment",
        "trend",
        "recovery"
      ],
      "contactPoint": {
        "fn": "James Carleton",
        "hasEmail": "mailto:carleton.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "NLA_52_lakes_all_TP_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518517/NLA_52_lakes_all_TP_data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518517/documents/metadata%20for%20NLA_52_lakes_all_TP_data.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Time lags in watershed nitrogen and phosphorus input-output balances:  A forty-four year record of the Willamette River Basin  ",
      "description": "The following 4 tables accompany the peer-reviewed journal article GS Metson, J Lin, JE Compton, JA Harrison. \"Where have all the nutrients gone? Long-term Decoupling of Inputs and Outputs in the Willamette River Watershed, Oregon, USA\". Published in JGR Biogeoscience.  \nValues refer to the Willamette River Watershed, which was defined as the area draining to USGS gauge 14211720 (which is 29 018 km2 when delimiting using HydroSHEDs 15 arc-second flow direction maps (Lehner et al 2006)). These datasets were created May 2017. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504006",
      "keyword": [
        "nutrients",
        "algal blooms",
        "phosphorus",
        "water quality",
        "legacies"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1519181",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1519181",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fish Quality Index",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. \n\nThis dataset is associated with the following publication:\nLomnicky, G.A., R.M. Hughes, D. Peck, and P. Ringold. Correspondence between a recreational fishery index and ecological condition for U.S.A. streams and rivers.   Fisheries Research. Elsevier Science Ltd, New York, NY, USA, 223: 105749, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517662",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://fisheries.org/bookstore/all-titles/special-publications/51035p/",
          "accessURL": "https://fisheries.org/bookstore/all-titles/special-publications/51035p/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1407622",
          "accessURL": "https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-01",
      "references": [
        "https://doi.org/10.1016/j.fishres.2020.105749"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Priest River Habitat and Regional Context",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519029",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1407622",
          "accessURL": "https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products",
          "accessURL": "https://www.usgs.gov/core-science-systems/ngp/national-hydrography/access-national-hydrography-products",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html",
          "accessURL": "https://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencebase.gov/catalog/item/508eccefe4b0b59cf7f5a7f8",
          "accessURL": "https://www.sciencebase.gov/catalog/item/508eccefe4b0b59cf7f5a7f8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EMAP-Western Pilot Study Fish Sampling Effort",
      "description": "Fish count data collected from 300-channel width reaches of Western USA rivers as part of the EMAP-Western Pilot Study.  \n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519063",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "vertcnt_300cw_metadata.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519063/vertcnt_300cw_metadata.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "vertcnt_300cw.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519063/vertcnt_300cw.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drivers of spatial variation in stream nitrogen concentrations across the US",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519428",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Assessment of Stream and River Physical Habitat Condition",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520619",
      "keyword": [
        "assessment",
        "aquatic monitoring",
        "coastal",
        "rivers and streams",
        "lakes and reservoirs",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Steven Paulsen",
        "hasEmail": "mailto:paulsen.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of shading and composition on green roof media temperature and moisture data set",
      "description": "Three of the primary functions of green roofs in urban areas are to delay rainwater runoff, moderate building temperatures, and ameliorate the urban heat island (UHI) effect. A major impediment to the survival of plants on an unirrigated extensive green roof (EGR) is the harsh rooftop environment, including high temperatures and limited water during dry periods. Factors that influence EGR thermal and hydrologic performance include the albedo (reflectivity) of the roof and the composition of the green roof substrate (growing media). In this study we used white, reflective shading structures and three different media formulations to evaluate EGR thermal and hydrologic performance in the Pacific Northwest, USA. Shading significantly reduced daytime mean and maximum EGR media temperatures and significantly increased nighttime mean and minimum temperatures, which may provide energy benefits to buildings. Mean media moisture was greater in shaded trays than in exposed (unshaded) trays but differences were not statistically significant. Warmer nighttime media temperatures and lack of dew formation in shaded trays may have partially compensated for greater daytime evaporation from exposed trays. Media composition did not significantly influence media temperature or moisture. Results of this study suggest that adding shade structures to green roofs will combine thermal, hydrologic, and ecological benefits, and help achieve temperature and light regimes that allow for greater plant diversity on EGRs. \n\nThis dataset is associated with the following publication:\nBollman, M., G. DeSantis, R. Waschmann, and P. Mayer. Effects of shading and composition on green roof media temperature and moisture.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 281: 111882, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520657",
      "keyword": [
        "cool roof",
        "plant growing media",
        "building energy",
        "native plants",
        "Green Infrastructure",
        "stormwater management",
        "green roof design"
      ],
      "contactPoint": {
        "fn": "Michael Bollman",
        "hasEmail": "mailto:bollman.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Effects of shading and composition on green roof media temperature and moisture_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520657/Effects%20of%20shading%20and%20composition%20on%20green%20roof%20media%20temperature%20and%20moisture_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-05",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.111882"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Projecting changes in extreme rainfall from three tropical cyclones using the design-rainfall approach",
      "description": "The baseline data used for analysis is stored on ORD serves as 2,736 netcdf files ~1.8 Terabyte in size and is not suitable as an attachment in ScienceHub. \nWe provide final Figures and tables used in the manuscript and supplemental materials. Portions of this dataset are inaccessible because: 2,736 netcdf files ~1.8 Terabyte in size. They can be accessed through the following means: upon request to the corresponding author. Format: The baseline data used for analysis contains 2,736 netcdf stored on ORD serves,  ~1.8 Terabyte in size and is not suitable as an attachment in ScienceHub. \n\nThis dataset is associated with the following publication:\nJalowska, A., T. Spero, and J. Bowden. Projecting changes in extreme rainfall from three tropical cyclones using the design-rainfall approach.   Nature Climate Change. Nature Publishing Group, New York, NY, USA, 4(23): 1-8, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519135",
      "keyword": [
        "IDF curves",
        "future projections",
        "tropical cyclones",
        "WRF",
        "GCM",
        "RCM",
        "extreme rainfall",
        "Storm Water Managemnet"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 3 data2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519135/Figure%203%20data2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4 data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519135/Figure%204%20data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519135/Figure%203%20data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-23",
      "references": [
        "https://doi.org/10.1038/s41612-021-00176-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519135/documents/data%20dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Figures and Tables Gilliam et al. 2020. Final",
      "description": "This is a zip file with all data that were used to generate the figures and tables. The zip file contains a separate zip file for each figures/table. Those files have README metadata files that describe the figure/table datasets.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519128",
      "keyword": [
        "air quality",
        "global modeling",
        "land-surface",
        "meteorology modeling"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "data.gilliam.A-63z5.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519128/data.gilliam.A-63z5.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System",
      "description": "Emissions from a stand replacement prescribed burn were sampled using an unmanned aircraft system (UAS, or “drone”) in Fishlake National Forest, Utah, U.S.A. Sixteen flights over three days in June 2019 provided emission factors for a broad range of compounds including carbon monoxide (CO), carbon dioxide (CO2), nitric oxide (NO), nitrogen oxide (NO2), particulate matter < 2.5 microns in diameter (PM2.5), volatile organic compounds (VOCs) including carbonyls, black carbon, and elemental/organic carbon. To our knowledge, this is the first UAS-based emission sampling for a fire of this magnitude, including both slash pile and crown fires resulting in wildfire-like conditions. The burns consisted of drip torch ignitions as well as ground-mobile and aerial helicopter ignitions of large stands comprising over 1,000 ha, allowing for comparison of same-species emission factors burned under different conditions. The use of a UAS for emission sampling minimizes risk to personnel and equipment, allowing flexibility in sampling location and ensuring capture of representative, fresh smoke constituents. PM2.5 emission factors varied 5-fold and, like most pollutants, varied inversely with combustion efficiency resulting in lower emission factors from the slash piles than the crown fires. \n\nThis dataset is associated with the following publication:\nAurell, J., B. Gullett, A. Holder, F. Kiros, B. Mitchell, A. Watts, and R. Ottmar. Wildland Fire Emission Sampling at Fishlake National Forest, Utah Using an Unmanned Aircraft System.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 247: 118193, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520907",
      "keyword": [
        "emissions",
        "hexacopter",
        "combustion",
        "plume",
        "sensor",
        "sampler",
        "unmanned aerials system"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub FASMEE 05-04-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520907/Data%20Table%20Science%20Hub%20FASMEE%2005-04-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-07",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118193"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Unit and Regression Tests of Scientific Software: A Study on SWMM",
      "description": "Testing helps assure software quality by executing programs and uncovering bugs. Scientific software developers often find it challenging to carry out systematic and automated testing due to reasons such as inherent model uncertainties and complex floating-point computations. Extending the recent work on analyzing the unit tests written by the developers of the Storm Water Management Model (SWMM), we report in this paper the investigation of both unit and regression tests of SWMM. The results show that the 1,458 SWMM tests have a 54.0% code coverage and an 82.4% User’s Manual coverage. Meanwhile, an examination of eight regression tests from a test set shows a 79.5% code coverage and a near 100% User’s Manual coverage. We also observe a “getter-setter-getter” testing pattern from the SWMM unit tests and suggest a diversified way of designing or adopting regression tests. \n\nThis dataset is associated with the following publication:\nPeng, Z., X. Lin, M. Simon, and N. Niu. Unit and Regression Tests of Scientific Software: A Study on SWMM.   Journal of Computational Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 53: 101347, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519338",
      "keyword": [
        "scientific software",
        "unit testing",
        "regression testing",
        "User’s Manual",
        "test-coverage",
        "Storm Water Management Model (SWMM)"
      ],
      "contactPoint": {
        "fn": "Michelle Simon",
        "hasEmail": "mailto:simon.michelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Mappings_of_SWMM_unit_tests.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519338/Mappings_of_SWMM_unit_tests.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "regression test data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519338/regression%20test%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "test study on swmm(data table).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519338/test%20study%20on%20swmm%28data%20table%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-08",
      "references": [
        "https://doi.org/10.1016/j.jocs.2021.101347",
        "https://pasteur.epa.gov/uploads/10.23719/1519338/documents/SWMM%20OpenCppCoverage%20Step.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
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      ],
      "modified": "2020-08-31",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
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      "accessRights": "public"
    },
    {
      "title": "Predictive Models for In Vitro Toxicokinetic Parameters to Inform High-throughput Risk-assessment_Prachi",
      "description": "The data used in this analysis was obtained from published literature and available through the high-throughput toxicokinetic (HTTK) R package. The dataset consists of 1486 chemicals that span a variety of use classes including pharmaceuticals, food-use chemicals, pesticides and industrial chemicals of which 1139 chemicals had experimental human in vitro fraction unbound data and 642 chemicals that had experimental human in vitro intrinsic clearance data. Structures were curated and obtained from the DSSTox database. The distribution of experimental values for fraction unbound and intrinsic clearance is shown in Supplementary Figure S1. Since the data were non-normally distributed they were appropriately transformed before any analysis was conducted. The details of the transformation and the transformed data distribution are presented in the results section and Supplementary Figures S2 and S3. A complete list of chemicals with CAS registry numbers (CASRN), DSSTox generic substance IDs (DTXSIDs), structure and experimental data for both parameters are included as supplemental data (1.ChemicalListData.csv and 1.ChemicalList-QSARready.sdf). \n\nThis dataset is associated with the following publication:\nPradeep, P., G. Patlewicz, R. Pearce, J. Wambaugh, B. Wetmore, and R. Judson. Using Chemical Structure Information to Develop Predictive Models for In Vitro Toxicokinetic Parameters to Inform High-throughput Risk-assessment.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 16: 100136, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503529",
      "keyword": [
        "predictive models",
        "toxicokinetic (TK) parameters",
        "in vitro toxicity data",
        "in silico",
        "IVIVE",
        "qsar",
        "ACToR"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cran.r-project.org/web/packages/httk/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/httk/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard",
          "accessURL": "https://comptox.epa.gov/dashboard",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503529/Supplemental.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-21",
      "references": [
        "https://doi.org/10.1016/j.comtox.2020.100136"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-rxx4_dataset_20180604",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nPhillips, R., R. James, and M. Magnuson. Functional categories of microbial toxicity resulting from three advanced oxidation process treatments during management and disposal of contaminated water.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 238: 124550, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1500918",
      "keyword": [
        "water security",
        "wastewater",
        "advanced oxidation",
        "treatment"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-rxx4_dataset_20180604.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500918/MagnusonMatthew_A-rxx4_dataset_20180604.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2019.124550"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization",
      "description": "The supplemental information for this paper includes chemical-specific analytical methods, raw instrument data for chemical concentration analysis, processed data for experiments on intrinsic hepatic clearance (CLint -- metabolism) and chemical fraction unbound in the presence of human plasma protein (fup). Figures showing the curve fits for determining CLint are provided. Finally, all data were released publicly as HTTK R Package v1.10.1. \n\nThis dataset is associated with the following publication:\nWambaugh, J., B. Wetmore, C. Ring, C. Nicolas, R. Pearce, G. Honda, R. Dinallo, D. Angus, J. Gilbert, T. Sierra, A. Badrinarayanan, B. Snodgrass, A. Brockman, C. Strock, R. Setzer, and R. Thomas. Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  172(2): 235-251, (2019).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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      "identifier": "https://doi.org/10.23719/1504435",
      "keyword": [
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        "exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "accessURL": "https://www.epa.gov/chemical-research/toxicity-forecaster-toxcasttm-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/package=httk",
          "accessURL": "https://cran.r-project.org/package=httk",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupTable4-ProcessedData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504435/SupTable4-ProcessedData.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "SupTable1-AnalyticalMethods.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504435/SupTable1-AnalyticalMethods.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupTable2-RawPPBData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504435/SupTable2-RawPPBData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupTable3-RawCLintData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504435/SupTable3-RawCLintData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupplementalFigures4.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504435/SupplementalFigures4.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz205"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFLA extracellular enzyme activity",
      "description": "USDA Data. This dataset is not publicly accessible because: USDA hasn't published a link yet - will modify ScienceHub when link is available. It can be accessed through the following means: USDA owns data will have a link eventually. Format: Excel files. \n\nThis dataset is associated with the following publication:\nTrippe, K.M., V.A. Manning, C.L. Reardon, A.M. Klein, C. Weidman, T.F.  Ducey, J.M. Novak, D.W. Watts, H.  Rushmiller, K.A. Spokas, J.A. Ippolito, and M.G. Johnson. Phytostabilization of acidic mine tailings with biochar, biosolids, lime, and locally-sourced microbial inoculum: Do amendment mixtures influence plant growth, tailing chemistry, and microbial composition?.   Applied Soil Ecology. Elsevier Science Ltd, New York, NY, USA, 165: 103962, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520575",
      "keyword": [
        "biochar",
        "soil",
        "plants",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [],
      "modified": "2021-01-11",
      "references": [
        "https://doi.org/10.1016/j.apsoil.2021.103962"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaccumulation of bis-(2-ethylhexyl)-3,4,5,6-tetrabromophthalate and mono-(2-ethylhexyl)-3,4,5,6-tetrabromophthalate by Lumbriculus variegatus",
      "description": "- Concentration of TBPH and TBMEHP in sediment\n- Weigh and lipid contents of Lumbriculus variegatus over time\n- Concentrations in Lumbriculus variegatus of TBPH and TBMEPH, and L. variegatus lipid contents\n- Chemical Concentrations in Method Blanks. \n\nThis dataset is associated with the following publication:\nBurkhard, L., T. Lahren, T. Highland, R. Hockett, D. Mount, and T. Norberg-King. Bioaccumulation of bis-(2-ethylhexyl)-3,4,5,6-tetrabromophthalate and mono-(2-ethylhexyl)-3,4,5,6-tetrabromophthalate by Lumbriculus variegatus.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 80: 579–586, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520087",
      "keyword": [
        "bioaccumulation",
        "sediment",
        "chemical uptake",
        "bioavailability",
        "sediment testing",
        "fish dietary studies"
      ],
      "contactPoint": {
        "fn": "Lawrence Burkhard",
        "hasEmail": "mailto:burkhard.lawrence@epa.gov"
      },
      "distribution": [
        {
          "title": "TBPH & TBMEPH Data Set 6-Oct-2020 .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520087/TBPH%20%26%20TBMEPH%20Data%20Set%206-Oct-2020%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-06",
      "references": [
        "https://doi.org/10.1007/s00244-021-00824-4"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vapor uptake inhalation data for chloroform in F344 rats",
      "description": "This dataset describes disappearance of chloroform from a vapor uptake chamber with time due to metabolism. The research concentrates on optimization for estimation of metabolic constants using a novel technique. \n\nThis dataset is associated with the following publication:\nEvans, M., C. Eklund, D. williams, Y. Sey, and J. Simmons. Global Optimization of the Michaelis-Menten parameters using physiologically-based pharmacokinetic (PBPK) modeling and chloroform vapor uptake data in F344 rats.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 32(3): 97-109, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504242",
      "keyword": [
        "PBPK model",
        "Chloroform",
        "vapor uptake inhalation"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "EvansMarina_A-z35r_20190702.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504242/EvansMarina_A-z35r_20190702.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-02",
      "references": [
        "https://doi.org/10.1080/08958378.2020.1742818"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ Run outputs",
      "description": "output files from CMAQ runs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522292",
      "keyword": [
        "aldehydes",
        "Mobile source",
        "air quality",
        "atmospheric chemistry",
        "secondary concentration"
      ],
      "contactPoint": {
        "fn": "Sharon Phillips",
        "hasEmail": "mailto:phillips.sharon@epa.gov"
      },
      "distribution": [
        {
          "title": "2014fd_nata_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014fd_nata_zbio_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_zbio_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014fd_nata_zcmv_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_zcmv_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014fd_nata_znonroad_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_znonroad_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014fd_nata_zonroad_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_zonroad_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014fd_nata_zairrail_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522292/2014fd_nata_zairrail_cb6_14j.12US2.yearlyavg.tox.LST.aconc.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-21",
      "references": [
        "https://dx.doi.org/10.1080/10962247.2020.1813839"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-037038: Constitutive expression of human CYPs",
      "description": "The raw values used to create figures 1 and 2 and table 3. \n\nThis dataset is associated with the following publication:\nLiu, J., Y. Lu, C. Corton, and C. Klaassen. Expression of cytochrome P450 isozyme transcripts and activities in human livers.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 51(3): 279-286, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519197",
      "keyword": [
        "cytochrome P450",
        "CYP",
        "liver",
        "age-related susceptibility",
        "Susceptibility"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Liu et al. P450 Expression in Human Liver ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519197/Liu%20et%20al.%20P450%20Expression%20in%20Human%20Liver%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-03-10",
      "references": [
        "https://doi.org/10.1080/00498254.2020.1867929"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data",
      "description": "*********** Note to Josh Harrill- I don't have a copy of the final manuscript so could you please add the description of this dataset (just delete this comment and enter or cut and paste and then it should be ready to route by clicking on 'Submit for Review' button above) **********. \n\nThis dataset is associated with the following publication:\nNyffeler, J., D. Haggard, C. Willis, W. Setzer, R. Judson, K. Paul-Friedman, L. Everett, and J. Harrill. Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data.   SLAS Discovery. SAGE Publications, THOUSAND OAKS, CA, USA, 26(2): 292-308, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518906",
      "keyword": [
        "high-throughput phenotypic profiling",
        "computational toxicology",
        "concentration response",
        "cell painting"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Nyffeler/Bioactivity_screening_of_environmental_chemicals/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Nyffeler/Bioactivity_screening_of_environmental_chemicals/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-30",
      "references": [
        "https://doi.org/10.1177/2472555220950245"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Derivation of new Threshold of Toxicological Concern values for exposure via inhalation for environmentally-relevant chemicals",
      "description": "An effort was made to derive new inhalation TTC values using the EPA’s Toxicity Values database, ToxValDB. A total of 4703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al (2019) and Patlewicz et al (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al (2010) and Carthew et al (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further Cramer classification was not found to be effective at discriminating potencies. \n\nThis dataset is associated with the following publication:\nNelms, M., and G. Patlewicz. Derivation of New Threshold of Toxicological Concern Values for Exposure via Inhalation for Environmentally-Relevant Chemicals.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 2: 580347, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519348",
      "keyword": [
        "Threshold of Toxicological Concern (TTC)",
        "Cramer classes",
        "inhalation",
        "Risk-based prioritization",
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/Comptox/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/Frontiers-TTC",
          "accessURL": "https://gaftp.epa.gov/Comptox/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/Frontiers-TTC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-09",
      "references": [
        "https://doi.org/10.3389/ftox.2020.580347"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genome-wide DNA methylation and controlled diesel exposure",
      "description": "This dataset contains genome-wide DNA methylation data from the Illumina EPIC array as well as information on the exposure given (clean air, diesel, or ozone) at each time point. Demographic and anthropomorphic information on the participants in the study is also included within the dataset. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting the data owners. Access to the data requires an approved Institutional Review Board application from an appropriate institution. Format: This dataset include blood biomarker measurements (DNA methylation; Ilumina EPIC Methylation array) along with demographic and anthropomorphic information on participants. In addition there is data on which controlled exposure was received (clean air or diesel or ozone) and at which time points. \n\nThis dataset is associated with the following publications:\nCardenas, A., R. Fadadu, L. Van Der Laan, C. Ward-Caviness, L. Granger, D. Diaz-Sanchez, M. Bind, and R. Devlin. Controlled Human Exposures to Diesel Exhaust: A Human Epigenome-Wide Experiment of Target Bronchial Epithelial Cells.   Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 7(1): dvab003, (2021).\nBind, M., D. Rubin, A. Cardenas, R. Dhingra, C. Ward-Caviness, Z. Liu, J. Mirowsky, J. Schwartz, B. Coull, D. Diazsanchez, and R. Devlin. HETEROGENEOUS OZONE EFFECTS ON DNA METHYLOME OF BRONCHIAL CELLS: OBSERVED IN A CROSSOVER STUDY.   Scientific Reports. Nature Publishing Group, London,  UK, 10(1): 15739, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1521335",
      "keyword": [
        "diesel",
        "Ozone",
        "human metabolome",
        "pulmonary",
        "DNA methylation"
      ],
      "contactPoint": {
        "fn": "Robert Devlin",
        "hasEmail": "mailto:devlin.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1093/eep/dvab003",
        "https://doi.org/10.1038/s41598-020-72068-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data contributed by EPA researchers to the manuscript \"Estimating US background ozone levels using data fusion\"",
      "description": "The EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017.\n\nThe EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km. This dataset is not publicly accessible because: The size of the data provided to the external researchers (>1TB) exceeds ScienceHub limits. It can be accessed through the following means: Data can be requested by contacting hogrefe.christian@epa.gov (EPA/ORD/CEMM-contributed dataset) and henderson.barron@epa.gov (EPA/OAR/OAQPS-contributed dataset) and providing an external hard to which the data can then be copied by staff at the National Computing Center. \r\n\r\nThe model simulations are stored on the /asm archival system accessible through the atmos high-performance computing (HPC) system.  Due to data management policies, files on /asm are subject to expiry depending on the template of the project. Files not requested for extension after the expiry date are deleted permanently from the system. \r\n\r\nLocation of EPA/ORD/CEMM-provided CMAQ model output data on asm:\r\n•\t/asm/grc/NRT_WRF_CMAQ/model_outputs/nhemi108/cctm.conc\r\n•\t/asm/MOD3EVAL/css/NRT/data/gatech/bc\r\n•\t/asm/MOD3EVAL/css/NRT/data/gatech/scripts\r\n•\t/asm/MOD3EVAL/css/NRT/data/gatech/metbdy3d\r\n\r\nLocation of EPA/OAR/OAQPS-provided CMAQ model output data on asm:\r\n•\t/asm/ROMO/global/CMAQv5.2/2016fe_hemi_cb6_16jh/108km/output\r\n•\t/asm/ROMO/global/CMAQv5.2.1/2016fe_hemi_cb6_16jh/108km/ZUSA/output\r\n•\t/asm/ROMO/2016platform/CMAQv521/2016fe_cb6r3_ae6nvpoa_16j/12US2/output\r\n•\t/asm/ROMO/2016platform/CMAQv521/2016fe_zusa_cb6r3_ae6nvpoa_16j/12US2/output. Format: The CMAQ model output datasets used for the analysis presented in this manuscript and documented here were provided by scientists in EPA/ORD/CEMM and EPA/OAR/OAQPS. \r\n\r\nThe EPA/ORD/CEMM-contributed dataset consisted of hourly CMAQ output for all model species from a 2017 simulation over the northern hemisphere along a boundary curtain of a 36 km modeling domain specified over the CONUS. The horizontal and vertical extent of the 36 km modeling domain was specified by the external collaborator and was defined by 524 boundary grid cells and 34 vertical layers. The number of output species from the 2017 hemispheric CMAQ simulation was 191 through to September 23, 2017 and 213 starting September 24, 2017.\r\n\r\nThe EPA/OAR/OAQPS-contributed dataset consistent of hourly gridded CMAQ output for surface ozone concentrations from four model simulations for the year 2016. Two of these simulations were performed over the northern hemisphere at a horizontal resolution of 108 km and the other two simulations were performed over the CONUS at a horizontal resolution of 12 km.\r\n\r\nThe data files with the CMAQ model output provided to the external researchers use the ioapi/netcdf format. Documentation of this format, including definitions of the geographical projection attributes contained in the file headers, are available at https://www.cmascenter.org/ioapi/documentation/all_versions/html. \n\nThis dataset is associated with the following publication:\nSkipper, T.N., Y. Hu, M.T. Odman, B. Henderson, C. Hogrefe, R. Mathur, and A. Russell. EST Publication: Estimating US background ozone levels using data fusion.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(8): 4504-4512, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519023",
      "keyword": [
        "background ozone",
        "data fusion",
        "air quality model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [],
      "modified": "2019-09-30",
      "references": [
        "https://doi.org/10.1021/acs.est.0c08625"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with article virus transport from drywells under constant head conditions: a modeling study",
      "description": "The spreadsheet accompanies the journal article Sasidharan et al (2021) Water Research, Virus transport from drywells under constant head conditions: a modeling study.  The worksheets include metadata and data associated with all Tables and Figures.  The spreadsheet includes a link to the PC-PROGRESS website that contains examples HYDRUS (2D/3D) run files for the drywell setup discussed in the paper. \n\nThis dataset is associated with the following publication:\nSasidharan, S., S. Bradford, J. Simunek, and S. Kraemer. Virus Transport from Drywells Under Constant Head Conditions: A Modeling Study.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 197: 117040, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521159",
      "keyword": [
        "vadose zone",
        "managed aquifer recharge",
        "virus",
        "water quality",
        "HYDRUS (2D/3D)",
        "drywell"
      ],
      "contactPoint": {
        "fn": "Stephen Kraemer",
        "hasEmail": "mailto:kraemer.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "KraemerStephen_A_0cg5_Data_20210402.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521159/KraemerStephen_A_0cg5_Data_20210402.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-02",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.117040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-029419: Identification of p53 Activators in a Human Microarray Compendium",
      "description": "The dataset contains chemicals that were predicted to activate p53 using the biomarker or using a high throughput assay for p53. \n\nThis dataset is associated with the following publication:\nCorton, J., K. Witt, and C. Yauk. Identification of p53 Activators in a Human Microarray Compendium.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 32(9): 1748-1759, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503368",
      "keyword": [
        "biomarker",
        "genotoxicity",
        "DNA damage",
        "p53"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-fttx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503368/Data%20submission%20for%20A-fttx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-15",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.9b00052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Considerations when using nutrient inventories to prioritize water quality restoration/improvement efforts across the US",
      "description": "The corresponding database integrates multiple streams of information to provide estimates of fluxes and surpluses across urban and agricultural domains as well as highlight areas where N and P are being managed inefficiently. This database gives decision makers a succinct platform to identify likely areas of water quality degradation. With this quantitative information to prioritize watersheds for restoration, decision makers can then engage with stakeholders to develop meaningful and effectual watershed restoration strategies. \n\nThis dataset is associated with the following publication:\nSabo, R., C. Clark, and J. Compton. Considerations when using nutrient inventories to prioritize water quality improvement efforts across the US.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 3: 045005, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519314",
      "keyword": [
        "nitrogen",
        "water quality",
        "inventory",
        "Watershed",
        "total phosphorus"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Inventory_Prioritization.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519314/Inventory_Prioritization.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1088/2515-7620/abf296"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for the analysis of the cost-effectiveness of Nutrient Management on Nitrate-N",
      "description": "Midwest and nitrate-N loss data for nutrient management. \n\nThis dataset is associated with the following publication:\nLiu, W., Y. Yuan, and L. Koropeckyj-Cox. Effectiveness of Nutrient Management on Water Quality Improvement: A Synthesis on Nitrate-Nitrogen Loss from Subsurface Drainage.   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 64(2): 675-689, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518512",
      "keyword": [
        "nutrient management",
        "conservation practice",
        "nitrate-n loss",
        "subsurface drainage",
        "corn yields",
        "cost effectiveness"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for Nutrient Management_with metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518512/Dataset%20for%20Nutrient%20Management_with%20metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-09",
      "references": [
        "https://doi.org/10.13031/trans.14078"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DataSet_Bathroom_Community",
      "description": "1. 16S rRNA sequences, generated using Illumina sequencer, and 2. water parameters, included temperature and chlorine residual concentrations. \n\nThis dataset is associated with the following publication:\nZhang, C., K. Qin, I. Struewing, H.Y. Buse, J. SantoDomingo, D. Lytle, and J. Lu. The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 12: 625324, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518811",
      "keyword": [
        "cold tap water",
        "hot tap water",
        "shower water",
        "bacterial community structure",
        "Premise plumbing systems"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "DataSet_Bathroom_Community.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518811/DataSet_Bathroom_Community.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-01",
      "references": [
        "https://doi.org/10.3389/fmicb.2021.625324"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset Development and Application of a United States wide correction for PM2.5 data collected with the PurpleAir sensor ",
      "description": "A dataset of 24-hr averaged PurpleAir data collocated at government monitoring sites. Used to write a paper in atmospheric measurement techniques.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522388",
      "keyword": [
        "fine particulate matter (PM2.5)",
        "PurpleAir",
        "collocation",
        "correction equation",
        "air sensor"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:johnson.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_DevelopmentUSPAcorrection_210408.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522388/Data_DevelopmentUSPAcorrection_210408.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adverse Outcome Pathway Database (AOP-DB) version 2",
      "description": "The EPA has developed the Adverse Outcome Pathway Database (AOP-DB) to better characterize adverse outcomes of toxicological interest that are relevant to human health and the environment. Since its inception, the AOP-DB has been developed with the aim of integrating AOP molecular target information with other publicly available datasets to facilitate computational analyses of AOP information. A user application for the AOP-DB has been developed for public accessibility. Potential users of the data (Government, Academic, or Industry scientists and researchers) may investigate specific molecular targets of an AOP, the relation of those gene/protein targets to other AOPs, chemical stressor, pathway, or disease-AOP relationships, for example. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522396",
      "keyword": [
        "database",
        "Computational Biology",
        "TSCA",
        "systems biology",
        "adverse outcome pathway",
        "Data Integration",
        "chemical",
        "disease",
        "Gene",
        "NAM"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/AOP-DB/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/AOP-DB/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of In Vivo Derived and Scaled In Vitro Metabolic Rate Constants for Several Volatile Organic Compounds (VOCs)",
      "description": "Data sets in the context of this project are the model files, model input parameter sets, and data generated at the US EPA/ORD/National Health and Environmental Effects Research Laboratory that support the published manuscript.  The data dictionary for purposes of this research effort is provided as a .pdf file that documents the name/description, abbreviation, units (liters, hours, kilograms) and source of parameters used in the models or calculations. \n\nThis dataset is associated with the following publication:\nKenyon, E., C. Eklund, R. Pegram, and J. Lipscomb. Comparison of In Vivo Derived and Scaled In Vitro Metabolic Rate Constants for Several Volatile Organic Compounds (VOCs).   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 69: 105002, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504254",
      "keyword": [
        "volatile organic compounds",
        "in vitro to in vivo extrapolation",
        "IVIVE",
        "vapor uptake inhalation",
        "VOCs",
        "in vitro hepatic metabolism"
      ],
      "contactPoint": {
        "fn": "Elaina Kenyon",
        "hasEmail": "mailto:kenyon.elaina@epa.gov"
      },
      "distribution": [
        {
          "title": "IVIVE1_alldatafiles_11DCPe.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504254/IVIVE1_alldatafiles_11DCPe.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IVIVE1_alldatafiles_22DCP.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504254/IVIVE1_alldatafiles_22DCP.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IVIVE1_model&scripts_22DCP.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504254/IVIVE1_model%26scripts_22DCP.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IVIVE1_model&scripts_11DCPe.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504254/IVIVE1_model%26scripts_11DCPe.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0020-04-16",
      "references": [
        "https://doi.org/10.1016/j.tiv.2020.105002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504254/documents/datadictionary_IVIVE1.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-wdcm_dataset_20190715.xlsx",
      "description": "Data corresponding to the figures in the paper. \n\nThis dataset is associated with the following publication:\nXing, Y., A. Ellis, M. Magnuson, and W. Harper. Adsorption of bacteriophage MS2 to colloids: Kinetics and particle interactions.   Colloids and Surfaces A: Physicochemical and Engineering Aspects. Elsevier B.V., Amsterdam,  NETHERLANDS, 585: 124099, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504088",
      "keyword": [
        "wastewater",
        "MS2",
        "biosolids",
        "adsorption",
        "biocontaminant",
        "XDLVO",
        "Atomic Force Microscopy",
        "Bacteriophage"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-wdcm_dataset_20190715.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504088/MagnusonMatthew_A-wdcm_dataset_20190715.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-12",
      "references": [
        "https://doi.org/10.1016/j.colsurfa.2019.124099"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sequencing Data Set of Sediment Layers",
      "description": "A table (DP_SRA.xlsx) contains rows as sample and columns as entries representing the biosample accession number (NCBI), collection (date), library strategy, target (source), and sequencing (technology) for each individual sample.\n\nThe zip file (Genome_Set01.zip) contain nine (9) fasta file (DP_bin_02.fasta, DP_bin_04.fasta, DP_bin_09.fasta, DP_bin_10.fasta, DP_bin_14.fasta, DP_bin_15.fasta, DP_bin_16a.fasta, DP_bin_20.fasta, DP_bin_23.fasta) with the contig sequences (i.e. binning) for each metagenome-assembled genomes (MAGs).\n\nThese data are available from the NCBI Sequence Read Archive (SRA) under the BioProject (https://www.ncbi.nlm.nih.gov/bioproject) with accession number PRJNA646252 and the following BioSample numbers: SAMN15536103 to SAMN15536108. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., H. Liu, J. Pressman, and D. Wahman. Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(5): 1283-1294, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519300",
      "keyword": [
        "metagenome-assembled genome",
        "Contigs",
        "microbiome",
        "drinking water",
        "storage tank sediment",
        "metagenomes",
        "waterborne pathogens",
        "nitrification",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "DP_SRA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519300/DP_SRA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DP_bin.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519300/DP_bin.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA646252",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA646252",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-19",
      "references": [
        "https://doi.org/10.1021/acsestwater.1c00016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial Community Analysis based on 16S rRNA gene of Sediment Layers",
      "description": "A table (DP_OTU.xlsx) contains rows as OTUs, columns as samples, and entries representing the abundance of each OTU. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., H. Liu, J. Pressman, and D. Wahman. Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(5): 1283-1294, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519301",
      "keyword": [
        "OTU",
        "16S rRNA",
        "microbiome",
        "drinking water",
        "storage tank sediment",
        "metagenomes",
        "waterborne pathogens",
        "nitrification",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "DP_OTU.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519301/DP_OTU.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-19",
      "references": [
        "https://doi.org/10.1021/acsestwater.1c00016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Functional Profile of Sediment Layers",
      "description": "A table (DP_KEGG.xlsx) contains rows as KEGG Orthology (KO), columns as sediment layers, and entries representing the abundance of each KO. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., H. Liu, J. Pressman, and D. Wahman. Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(5): 1283-1294, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519302",
      "keyword": [
        "KEGG",
        "KO",
        "Metabolic Pathways",
        "Functional Profile",
        "microbiome",
        "drinking water",
        "storage tank sediment",
        "metagenomes",
        "waterborne pathogens",
        "nitrification",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "DP_KEGG.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519302/DP_KEGG.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-19",
      "references": [
        "https://doi.org/10.1021/acsestwater.1c00016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genes Encoding Key Enzymes for Nitrogen Metabolism in Sediment Layers",
      "description": "A table (DP_FAMA.xlsx) contains rows as nitrogen pathways genes, columns as sediment layers, and entries representing the abundance of each gene. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., H. Liu, J. Pressman, and D. Wahman. Metagenomic Profile of Microbial Communities in a Drinking Water Storage Tank Sediment after Sequential Exposure to Monochloramine, Free Chlorine, and Monochloramine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(5): 1283-1294, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519303",
      "keyword": [
        "Nitrogen Pathways",
        "genes",
        "microbiome",
        "drinking water",
        "storage tank sediment",
        "metagenomes",
        "waterborne pathogens",
        "nitrification",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "DP_FAMA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519303/DP_FAMA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-19",
      "references": [
        "https://doi.org/10.1021/acsestwater.1c00016"
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            "name": "U.S. Environmental Protection Agency",
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    {
      "title": "ConleyJustin_A-tdzv_Dataset_20210408",
      "description": "All summary data associated with manuscript figures and tables. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, M. Cardon, E. MedlockKakaley, V. Wilson, and E. Gray. A mixture of 15 phthalates and pesticides below individual chemical No Observed Adverse Effect Levels (NOAELs) produces reproductive tract malformations in the male rat.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 156(106615): 1, (2021).",
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        "pesticides",
        "chemical mixtures",
        "antiandrogens",
        "dose addition",
        "cumulative assessment",
        "Birth Defects",
        "in utero effects on male reproductive development"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
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      "title": "Hydrologic Landscape Vulnerability Assessment Data",
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        "hydrologic landscape",
        "hydrologic vulnerability",
        "time series",
        "climate"
      ],
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        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
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        {
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      "references": null,
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            "name": "U.S. Environmental Protection Agency",
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    {
      "title": "1987-2018 cyanobacteria and water quality data for 20 reservoirs",
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      "identifier": "https://doi.org/10.23719/1503175",
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        "temperature",
        "nutrients",
        "nitrogen",
        "phosphorus",
        "lakes",
        "water quality",
        "Algae",
        "Oxygen",
        "Hypoxia",
        "cyanobacteria",
        "seasonality",
        "human health"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/GAM_for_nonstratifying_reservoirs.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/NLCD_watershed_land_cover.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/Cyanobacteria_data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cyanotoxin_taxa_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/Cyanotoxin_taxa_data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Water_temp_DO_data_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/Water_temp_DO_data_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nutrient_trend_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/Nutrient_trend_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CyanoMaxCD_environmental_vars_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/CyanoMaxCD_environmental_vars_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Means_of_reservoir_nutrients.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503175/Means_of_reservoir_nutrients.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2018-11-19",
      "references": [
        "https://doi.org/10.1111/gcb.15618"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Parent phototransformation and product formation rates from internal and external evaluation datasets",
      "description": "Tables S1 and S2 provide photolysis transformation rate data compiled from the scientific literature and EFSA reports, respectively.  Table S3 provides rank assignments for each transformation scheme in the CTS reaction library for direct photolysis.  The Documentation sheet provides SMILES strings for example parent molecules and reported photolysis transformation products. \n\nThis dataset is associated with the following publication:\nYuan, C., C. Stevens, and E. Weber. Prioritizing Direct Photolysis Products Predicted by the Chemical Transformation Simulator: Relative Reasoning and Absolute Ranking.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  online, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520579",
      "keyword": [
        "photolysis",
        "photochemical",
        "environmental transformations",
        "phototransformations",
        "predictive models",
        "cheminformatics",
        "reaction library"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "Yuan_etal_2021_SI_003_PhotolysisRateData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520579/Yuan_etal_2021_SI_003_PhotolysisRateData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-01",
      "references": [
        "https://doi.org/10.1021/acs.est.0c08745"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEPA-interlab-comparison-data",
      "description": "This data includes the results of an interlab methods comparison to recover and quantify SARS-CoV-2 from wastewater. \n\nThis dataset is associated with the following publication:\nPecson, B., E. Darby, C. Haas, Y. Amha, M. Bartolo, R. Danielson, Y. Dearborn, G. DiGiovanni, C. Ferguson, S. Fevig, E. Gaddis, D. Gray, G. Lukasik, B. Mull, L. Olivas, A. Olivieri, Y. Qu, and S. CoV-2. Reproducibility and sensitivity of 36 methods to quantify the SARS-CoV-2 genetic signal in raw wastewater: findings from an interlaboratory methods evaluation in the U.S..   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 7(3): 504-520, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522440",
      "keyword": [
        "SARS-CoV-2",
        "wastewater monitoring",
        "interlaboratory comparison"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "data-set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522440/data-set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-14",
      "references": [
        "https://doi.org/10.1039/d0ew00946f"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data contributed by EPA/ORD/CEMM/AESMD to the manuscript The Community Multiscale Air Quality (CMAQ) Model Versions 5.3 and 5.3.1: System Updates and Evaluation",
      "description": "Annual CMAQ model output for 2016 for approximately six different simulations. This dataset is not publicly accessible because: Data are too large to upload to ScienceHub. It can be accessed through the following means: These data can be requested from the author. Format: Data formats include I/O API and csv. \n\nThis dataset is associated with the following publication:\nAppel, K.W., J. Bash, K. Fahey, K. Foley, R. Gilliam, C. Hogrefe, B. Hutzell, D. Kang, R. Mathur, B. Murphy, S. Napelenok, C. Nolte, J. Pleim, G. Pouliot, H. Pye, G. Sarwar, D. Schwede, F. Sidi, T. Spero, D. Wong, L. Ran, and S. Roselle. The Community Multiscale Air Quality (CMAQ) Model Version 5.3: System Updates and Evaluation.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14: 2867-2897, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519370",
      "keyword": [
        "CMAQ",
        "air quality modeling",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Keith Appel",
        "hasEmail": "mailto:appel.wyat@epa.gov"
      },
      "distribution": [],
      "modified": "2020-09-16",
      "references": [
        "https://doi.org/10.5194/gmd-14-2867-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cape Cod Tapwater 2018 EPA-generated Bioassay Data",
      "description": "Detected in vitro estrogen, androgen, and glucocorticoid receptor activity,in samples in the 2018 tapwater study in Cape Cod, Massachusetts. \n\nThis dataset is associated with the following publication:\nBradley, P., D. LeBlanc, K. Romanok, M. Focazio, M. Cardon, J. Clark, J. Conley, N. Evans, C. Givens, J. Gray, E. Gray, P. Hartig, C. Higgins, M. Hladik, K. Loftin, R.B. McClesky, C. McDonough, E. MedlockKakaley, C. Weis, V. Wilson, L.R. Iwanowicz, and K.L. Smalling. Public and Private Tapwater: Comparative Analysis of Contaminant Exposure and Potential Risk, Cape Cod, MA, USA.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 152(106487): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519142",
      "keyword": [
        "tapwater",
        "organics",
        "inorganics",
        "disinfection byproducts",
        "sole-source aquifer",
        "human health",
        "public supply",
        "private supply"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Cape Cod Tapwater 2018 EPA-generated Bioassay Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519142/Cape%20Cod%20Tapwater%202018%20EPA-generated%20Bioassay%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-21",
      "references": [
        "https://doi.org/10.1016/j.envint.2021.106487"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Indianapolis Research Duplex Total Database",
      "description": "Dataset includes VOC concentrations in ambient air, soil gas, subslab gas, and indoor air; radon measurements from the same locations as the VOC concentrations; weather data; groundwater levels and VOC concentrations in the groundwater; and sampling times and dates.  Predominant VOCs are PCE, TCE, and chloroform. \n\nThis dataset is associated with the following publication:\nLutes, C., C. Holton, B. Schumacher, J. Zimmerman, A. Kondash, and R. Truesdale. Observation of Conditions Preceding Peak Indoor Air Volatile Org Compound Concentrations in Vapor Intrusion Studies.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 41(2): 99-111, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520730",
      "keyword": [
        "vapor intrusion",
        "indicators",
        "tracers",
        "volatile organic compounds (vocs)"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "TO-013_Database_March_2014.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520730/TO-013_Database_March_2014.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-09-15",
      "references": [
        "https://doi.org/10.1111/gwmr.12434"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US COVID-19 shutdown shows importance of background NO2 in inferring nitrogen oxide (NOx) emissions from satellite NO2 observations (N/A limited co-author role)",
      "description": "Data used in this study are: (1) 24 hour averaged surface NO2 data for March-August for 2019 & 2020; (2) a total of about 328 AQS sites that have no data gaps; (3) a trend analysis for a subset of those AQS sites that extends back to 2005; and (4) OMI (2005-2020) and TROPOMI (2018-2020) satellite-based data for NO2 tropospheric columns. Note that OMI and TROPOMI make swath measurements from low Earth sun-synchronous polar orbit (i.e., global coverage each day at approximately 1 PM local standard time).  \n\nFor data associated with this paper, please contact the corresponding author Zhen Qu at zhenqu@g.harvard.edu. This dataset is not publicly accessible because: Role in this research effort as limited advisor / manuscript co-author on non-EPA and publicly available AQS datasets. It can be accessed through the following means: For data associated with this paper, contact the primary author Zhen Qu at zhenqu@g.harvard.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nQu, Z., D. Jacob, R. Silvern, V. Shah, P.C. Campbell, L. Valin, and L. Murray. US COVID-19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 48(10): e2021GL092783, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520960",
      "keyword": [
        "air quality",
        "nitrogen dioxide",
        "air emissions",
        "satellite"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [],
      "modified": "2020-12-01",
      "references": [
        "https://doi.org/10.1029/2021gl092783"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Camden temperature data",
      "description": "Spreadsheet with data dictionary and data. \n\nThis dataset is associated with the following publication:\nRazzaghmanesh, M., M. Borst, J. Liu, F. Ahmed, T. Oconnor, and A. Selvakumar. Air Temperature Reductions at the Base of Tree Canopies.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 7(3): 04021010, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504182",
      "keyword": [
        "Green Infrastructure",
        "Urban heat island",
        "Trees",
        "Sensors",
        "temperature",
        "New Jersey"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Camden UHI science hub Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504182/Camden%20UHI%20science%20hub%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-23",
      "references": [
        "https://ascelibrary.org/doi/10.1061/JSWBAY.0000950"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "K in urban landscapes",
      "description": "The dataset includes all information needed to develop Figures 2 through 5 of the manuscript. \n\nThis dataset is associated with the following publication:\nShuster, W., L. Schiffman, C. Kelleher, H. Golden, A. Bhaskar, A. Parolari, R. Stewart, and D. Herrmann. K in an Urban World: New Contexts for Hydraulic Conductivity.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 57(3): 493-504, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1517590",
      "keyword": [
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        "urban soils",
        "Hydraulic Conductivity",
        "hydraulic measurements",
        "hydrologic modeling"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "K in Urban Landscapes_FigData_101119.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517590/K%20in%20Urban%20Landscapes_FigData_101119.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2019-10-11",
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            "subOrganizationOf": [
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                "name": "U.S. Government"
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            ]
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      "accessRights": "public"
    },
    {
      "title": "FTOHtubefurnace_ScienceHub_20200616_V1",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518898",
      "keyword": [
        "gas-phase",
        "PFAS",
        "thermal",
        "treatment"
      ],
      "contactPoint": {
        "fn": "Theran Riedel",
        "hasEmail": "mailto:riedel.theran@epa.gov"
      },
      "distribution": [
        {
          "title": "FTOHtubefurnace_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518898/FTOHtubefurnace_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-16",
      "references": [
        "https://www.sciencedirect.com/science/article/pii/S0045653521003283"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Sorption and migration of organophosphate flame retardants between sources and settled dust",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains OPFR sorption and migration concentrations on settled dust and comparison to literature data. \n\nThis dataset is associated with the following publication:\nLiu, X., and E. Folk. Sorption and migration of organophosphate flame retardants between sources and settled dust.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 278: 00, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520447",
      "keyword": [
        "Organophosphorus flame retardants",
        "sorption",
        "Dust/air partition",
        "Dust/source partition",
        "indoor dust",
        "source-dust mass transfer",
        "small chamber"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-thtv_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520447/XiaoyuLiu_A-thtv_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://www.sciencedirect.com/science/article/pii/S0045653521008857?via%3Dihub"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Survival, pathology, and assay results for the multiple low-dose exposures study",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502617",
      "keyword": [
        "Bacillus anthracis",
        "anthrax",
        "dose-response",
        "microbial risk assessment",
        "rabbit",
        "low-dose",
        "physiological response",
        "multiple dose"
      ],
      "contactPoint": {
        "fn": "Sarah Taft",
        "hasEmail": "mailto:taft.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "Physiological Responses Multiple Doses Supplemental File3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502617/Physiological%20Responses%20Multiple%20Doses%20Supplemental%20File3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Physiological Responses Multiple Doses Supplemental File1 24Oct17 v2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502617/Physiological%20Responses%20Multiple%20Doses%20Supplemental%20File1%2024Oct17%20v2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Physiological Responses Multiple Doses Supplemental File2 v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502617/Physiological%20Responses%20Multiple%20Doses%20Supplemental%20File2%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://doi.org/10.3390/pathogens9110877"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data for Yuan and Jones 2020",
      "description": "total phosphorus, chlorophyll, and total suspended sediment measurements from Missouri reservoirs. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522580",
      "keyword": [
        "nutrients",
        "phosphorus",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Lester Yuan",
        "hasEmail": "mailto:yuan.lester@epa.gov"
      },
      "distribution": [
        {
          "title": "tp.chl.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522580/tp.chl.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "references": [
        "https://dx.doi.org/10.1002/lno.11422"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data for Yuan and Jones 2020 hypoxia",
      "description": "National lakes assessment data available from NRSA website. Missouri data on mean hypolimnetic DO is attached. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522581",
      "keyword": [
        "dissolved oxygen",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Lester Yuan",
        "hasEmail": "mailto:yuan.lester@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "modatup.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522581/modatup.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": [
        "https://dx.doi.org/10.1139/cjfas-2019-0294"
      ],
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        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diatom data sets from multiple NWAQA datasets",
      "description": "Diatom data used in the analysis of analysts bias. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522409",
      "keyword": [
        "Diatom",
        "taxonomy"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "long_counts_ne_lakes.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/long_counts_ne_lakes.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "combined_counts_NElakes_040218.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/combined_counts_NElakes_040218.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "wide_counts_ne_lakes.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/wide_counts_ne_lakes.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Tyree SESQA_NRSA_NAWQA_diatomwide_2017_02_09.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/Tyree%20SESQA_NRSA_NAWQA_diatomwide_2017_02_09.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "NE_lakes_site_list_20180123.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/NE_lakes_site_list_20180123.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "NE Lakes Voucher Name Translation Genus Removed.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522409/NE%20Lakes%20Voucher%20Name%20Translation%20Genus%20Removed.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "references": [
        "https://dx.doi.org/10.1002/lom3.10350"
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        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2007 NLA data; Benthic and landscape predictor variables",
      "description": "Data includes information collected during the 2007 NLA Survey. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522405",
      "keyword": [
        "benthic macroinvertebrate",
        "landscape variables"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
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        "subOrganizationOf": [
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    },
    {
      "title": "Jackson Lakes Water chemistry and genomic data 2106-2017",
      "description": "Data is provided for genomic , biogeochemical and weather data for Jackson Lakes in Pensacola Fl. from the fall of 2016 to the fall of 2017. \n\nThis dataset is associated with the following publication:\nRogers, J., R. Devereux, J. James, S. George, and K. Forshay. Seasonal Distribution of Cyanobacteria in Three Urban Eutrophic Lakes Results from an Epidemic-like Response to Environmental Conditions..   CURRENT MICROBIOLOGY. Springer, New York, NY, USA, 78(6): 2298–2316, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504198",
      "keyword": [
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      ],
      "contactPoint": {
        "fn": "John Rogers",
        "hasEmail": "mailto:rogers.johne@epa.gov"
      },
      "distribution": [
        {
          "title": "Jackson Lakes Biogeochemistry for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504198/Jackson%20Lakes%20Biogeochemistry%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cyano OTUs 99 not averaged complete.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504198/Cyano%20OTUs%2099%20not%20averaged%20complete.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Weather DataCombined_allLakes_V2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504198/Weather%20DataCombined_allLakes_V2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-23",
      "references": [
        "https://doi.org/10.1007/s00284-021-02498-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA_PROBsites_wQ.csv",
      "description": "Dataset includes compiled flow/no flow observations from past US EPA probabilistic stream surveys.  Includes latitude/longitude coordinates (dd), drainage area (km2), date, discharge (cms), year (1993-2014), study name, and visit number",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521344",
      "keyword": [
        "non-perennial",
        "intermittent",
        "perennial",
        "headwaters",
        "crowdsourcing",
        "database"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_PROBsites_wQ.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROBsites_wQ.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA_PROB_datadictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROB_datadictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) Modeling System version 5.3",
      "description": "This dataset documents the simulations demonstrating the capabilities of the new DESID module, a part of CMAQ that allows for adjustment of emissions and expanded diagnostic output.\n\nThere are three figures, each with four subpanels, that are provided here. They are all present in the supporting information of the manuscript. There are no figures with data in the main manuscript. This dataset is not publicly accessible because: See explanation above. It can be accessed through the following means: See explanation above. Format: This research paper is somewhat unique in that there is no data presented in the main manuscript. There are three figures presented in the supporting information which are generated from input and output data from CMAQ. The figures are for tutorial purposes only and do not directly contribute to any analysis or conclusions of any scientific hypothesis or policy recommendation. \r\n\r\nThe CMAQ code, data and figure scripts used to generate the supporting information figures may be found on ASM in the folder: \r\n/asm/MOD3DEV/bmurphy/ScienceHub/DESID. \n\nThis dataset is associated with the following publication:\nMurphy, B., C. Nolte, F. Sidi, J. Bash, K.W. Appel, C. Jang, D. Kang, J. Kelly, R. Mathur, S. Napelenok, G. Pouliot, and H. Pye. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) Modeling System version 5.3.2.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14(6): 3407-3420, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520159",
      "keyword": [
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [],
      "modified": "2020-10-02",
      "references": [
        "https://doi.org/10.5194/gmd-14-3407-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520159/documents/DESID-Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "National Water Withdrawal Totals By Industry 2015",
      "description": "This dataset contains 2015 national level water withdrawal by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520953",
      "keyword": [
        "water by NAICS",
        "agriculture water",
        "NAICS",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Water_national_2015_m1_v0.1_864d573.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Water_national_2015_m1_v0.1_864d573.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Water_national_2015_m1_v0.1_864d573.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520953/Water_national_2015_m1_v0.1_864d573.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Criteria and Hazardous Air Pollutant Emissions Totals By Industry 2017",
      "description": "This dataset contains 2017 national level criteria and hazardous air pollutant emissions by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521088",
      "keyword": [
        "air emissions",
        "emissions inventory",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CAP_HAP_national_2017_v0.1_864d573.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CAP_HAP_national_2017_v0.1_864d573.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CAP_HAP_national_2017_v0.1_864d573.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521088/CAP_HAP_national_2017_v0.1_864d573.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Point Source Releases to Water Totals by Industry 2017",
      "description": "This dataset contains national 2017 point-source releases to water by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521089",
      "keyword": [
        "air emissions",
        "emissions inventory",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/TRI_DMR_national_2017_v0.1_864d573.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/TRI_DMR_national_2017_v0.1_864d573.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TRI_DMR_national_2017_v0.1_864d573.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521089/TRI_DMR_national_2017_v0.1_864d573.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Point Source Releases to Ground Totals by Industry 2017",
      "description": "This dataset contains 2017 national point source releases to ground by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521090",
      "keyword": [
        "air emissions",
        "emissions inventory",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GRDREL_national_2017_v0.1_864d573.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GRDREL_national_2017_v0.1_864d573.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GRDREL_national_2017_v0.1_864d573.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521090/GRDREL_national_2017_v0.1_864d573.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Commercial Hazardous Waste Totals by Industry 2017",
      "description": "This dataset contains 2017 national Commercial RCRA-defined Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521328",
      "keyword": [
        "RCRA",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CRHW_national_2017_v0.1_864d573.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CRHW_national_2017_v0.1_864d573.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CRHW_national_2017_v0.1_864d573.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521328/CRHW_national_2017_v0.1_864d573.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Employment Totals by Industry 2017",
      "description": "This dataset contains 2017 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521091",
      "keyword": [
        "NAICS",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Employment_national_2017_v0.1.1_66af8ab.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Employment_national_2017_v0.1.1_66af8ab.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Employment_national_2017_v0.1.1_66af8ab.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521091/Employment_national_2017_v0.1.1_66af8ab.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-27",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Land Occupation Totals By Industry 2012",
      "description": "This dataset contains 2012 national level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly available python package that generates standardized environmental flows by industry. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520954",
      "keyword": [
        "land use",
        "NAICS",
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Land_national_2012_v0.1.1_66af8ab.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Land_national_2012_v0.1.1_66af8ab.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Land_national_2012_v0.1.1_66af8ab.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520954/Land_national_2012_v0.1.1_66af8ab.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-27",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/54f9368942eb9234806aaacc0ae105bb477dcbb8/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Figure 1 - Leveling trend of published microRNA biomarker studies in common biofluids.",
      "description": "PubMed was searched for the terms microRNA and biomarker in addition to blood (blue), urine (orange), saliva (grey), or cerebrospinal fluid (yellow). The graph in the paper displays the number of total annual publications over the past 16 years and the actual numbers used generate this graph are in incuded in the attached spreadsheet. A near annual doubling of publications occurred from the years 2009 until 2015, whereas only a mere 4% increase in annual publications from 2015 until 2018 was noted. While a number of factors can contribute to these publication trends, this indicates an overall cooling of research interest in biofluid-based microRNA biomarker development. \n\nThis dataset is associated with the following publication:\nChorley, B., E. Atabakhsh, G. Doran, J. Gautier, H. Ellinger-Ziegelbauer, D. Jackson, T. Sharapova, P. Yuen, R. Church, P. Couttet, R. Froetschl, J. McDuffie, V. Martine, P. Pande, L. Peel, C. Rafferty, F. Simutis, and A. Harrill. Methodological considerations for measuring biofluid-based microRNA biomarkers.   CRITICAL REVIEWS IN TOXICOLOGY. Taylor & Francis Group, London,  UK, 51(3): 264-282, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518531",
      "keyword": [
        "microRNAs",
        "biomarkers",
        "biofluids",
        "qualification",
        "safety assessment",
        "regulation",
        "clinical",
        "review"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+blood&filter=years.2002-2019",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+blood&filter=years.2002-2019",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+urine&filter=years.2009-2019",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+urine&filter=years.2009-2019",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+saliva&filter=years.2009-2019",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+saliva&filter=years.2009-2019",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+cerebrospinal+fluid+",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/?term=microRNA+and+biomarker+AND+cerebrospinal+fluid+",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-04-15",
      "references": [
        "https://doi.org/10.1080/10408444.2021.1907530"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Grassland-to-cropland conversion increased soil, nutrient, and carbon losses in the US Midwest between 2008 and 2016",
      "description": "These are the soil quality data for each county (listed by fips code) for each scenario. \n\nThis dataset is associated with the following publication:\nZhang, X., T. Lark, C. Clark, Y. Yuan, and S. LeDuc. Grassland-to-cropland conversion increased soil, nutrient, and carbon losses in the US Midwest between 2008 and 2016.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16: 1-14, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519294",
      "keyword": [
        "biofuel",
        "soil quality",
        "soil erosion",
        "nitrogen",
        "phosphorus"
      ],
      "contactPoint": {
        "fn": "Stephen Leduc",
        "hasEmail": "mailto:leduc.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Expansion Impacts_20210408.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519294/Expansion%20Impacts_20210408.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Overview for Zhang et al.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519294/Data%20Overview%20for%20Zhang%20et%20al.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Abandonment Impacts_20210408.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519294/Abandonment%20Impacts_20210408.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1088/1748-9326/abecbe"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519294/documents/Data%20Overview%20for%20Zhang%20et%20al.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "ESF_PAM_BulkPeriphyton_I-E_data",
      "description": "Dataset represents pulse amplitude modulated (PAM) fluorimetric measurements and other data characterizing the periphytic/biofilm communities inhabiting the stream mesocosm substrates during a test run conducted in 2018. \n\nThis dataset is associated with the following publication:\nKatona, L., Y. Vadeboncoeur, C. Nietch, and K. Hossler. A Novel Thin-Film Technique to Improve Accuracy of Fluorescence-Based Estimates for Periphytic Biofilms.   WATER. MDPI AG, Basel,  SWITZERLAND, 13(11): 1464, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521334",
      "keyword": [
        "periphyton",
        "Biofilm",
        "Pulse-amplitude modulated fluorometry",
        "photosynthesis",
        "measurement method"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "ESF_PAM_BulkPeriphyton_I-E_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521334/ESF_PAM_BulkPeriphyton_I-E_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-21",
      "references": [
        "https://doi.org/10.3390/w13111464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecological insights into temporal dynamics of the bacterial community assembly ",
      "description": "These data include detailed sample description (sampling locations, sampling events, DNA concentrations in four separate spreadsheet in an Excel file) and DNA sequencing plate layout. \n\nThis dataset is associated with the following publication:\nLi, L., D. Ning, Y. Jeon, H. Ryu, J. SantoDomingo, D. Kang, A. Kadudula, and Y. Seo. Ecological Insights into Assembly Processes and Network Structures of Bacterial Biofilms in Full-scale Biologically Active Carbon Filters under\nOzone Implementation.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 751: 141409, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518696",
      "keyword": [
        "drinking water treatment",
        "Biologically active carbon filters",
        "Bacterial community assembly mechanisms",
        "Ecological network structures",
        "Functional potentials"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Barcode Illumina Seq label_BAC filter.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518696/Barcode%20Illumina%20Seq%20label_BAC%20filter.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Field study sampling file list_BAC filter.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518696/Field%20study%20sampling%20file%20list_BAC%20filter.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sequencing sample name list_BAC filter.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518696/Sequencing%20sample%20name%20list_BAC%20filter.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sample description_BAC filter.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518696/Sample%20description_BAC%20filter.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.141409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating endocrine-related health effects into comparative human toxicity characterization ",
      "description": "This is a manuscript developed by a group at University of Berlin and Danish Technical University, using previously published data from EPA. The only EPA interaction has been providing advice on how to correctly use the data. This dataset is not publicly accessible because: The data were not collected by EPA and are hosted external to the agency. It can be accessed through the following means: Contact the corresponding author Yasmine Emara at the Department of Environmental Technology, Technical University Berlin, 10623 Berlin, Germany. Email: y.emara@tu-berlin.de. Format: Not available. \n\nThis dataset is associated with the following publication:\nEmara, Y., P. Fantke, R. Judson, X. Chang, P. Pradeep, A. Lehmann, M. Siegert, and M. Finkbeiner. Integrating endocrine-related health effects into comparative human toxicity characterization.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 762: 143874, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518711",
      "keyword": [
        "endocrine disrupting chemicals",
        "human toxicity characterization",
        "in vitro-to-in vivo extrapolation",
        "characterization factor",
        "effect factor",
        "Impact assessment"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.143874"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "XRD Patterns",
      "description": "XRD patterns of magnetic graphene with different magnetite ratios. \n\nThis dataset is associated with the following publication:\nSolís, R., O. Dinc, G. Fang, M. Nadagouda, and D. Dionysiou. Activation of inorganic peroxides with magnetic graphene for the removal of antibiotics in wastewater.   Environmental Science: Nano. RSC Publishing, Cambridge,  UK, 8(4): 960-977, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518538",
      "keyword": [
        "antibiotics",
        "inorganic peroxides",
        "magnetic graphene",
        "peroxymonosulfate",
        "sulfamethoxazole",
        "water treatment"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "Malli_80s_0.2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_0.2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Malli_80s_0.6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_0.6.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Malli_80s_0.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_0.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Malli_80s_0.4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_0.4.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Malli_80s_0.8.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_0.8.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Malli_80s_1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Malli_80s_1.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Manuscript magnetic graphene RRS+OTD.edited-04-16-20.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518538/Manuscript%20magnetic%20graphene%20RRS%2BOTD.edited-04-16-20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-16",
      "references": [
        "https://doi.org/10.1039/d0en01280g"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ReCiPe2016v1.1 for FEDEFLv1",
      "description": "ReCiPe2016 (Huijbregts 2017) is a life cycle impact assessment (LCIA) method. LCIA methods are collections of characterization factors, which are measures of relative potency or potential impact, for a given flow (e.g., NH3 to air) for a set of impact categories (e.g., acidification), provided in units of potency or impact equivalents per unit mass of the flowable associated with a given context (e.g., 1.88 kg SO2 eq/kg NH3 emitted to air). LCIA methods are typically used along with life cycle inventory data to estimate potential impacts in life cycle assessment (LCA). ReCiPe2016 produces 18 midpoint indicators and 3 endpoint indicators, and both midpoint and endpoint are provided using Individualist (I), Hierarchist (H), and Egalitarian (E) cultural perspectives. \n\nThe FEDEFL or Federal LCA Commons Elementary Flow List (EPA 2019) is the standardized elementary flow list for use with data meeting the US Federal LCA Commons data guidelines.\n\nIn this dataset, ReCiPe2016 is applied to FEDEFL v1.0.7 flows. This dataset was created by the LCIA Formatter v1.0 (https://github.com/USEPA/LCIAformatter). The LCIA Formatter is a tool for providing standardized life cycle impact assessment methods with characterization factors transparently applied to flows from an authoritative flow list, like the FEDEFL. The LCIA Formatter draws from the original ReCiPe2016 source file and the ReCiPe2016 to FEDEFL flow mapping. The LCIA formatter accesses this mapping file through the fedelemflowlist tool available at https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List. This mapping file and a note about the mapping are provided separately. Where a flow context is less specific in the FEDEFL (e.g., air) relative to the ReCiPe2016 flow contexts (e.g., air/rural), the LCIA Formatter applies the average of the relevant characterization factors from ReCiPe2016 to the FEDEFL flow. \n\nThe zip files are compressed archives of JSON files following the openLCA schema at https://greendelta.github.io/olca-schema. A separate .zip file is provided for each combination of indicator type (midpoint or endpoint) and perspective.\nUsage Notes for zip file: These file were tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. They will provide matching characterization factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database. These files do not contain the elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository at https://www.lcacommons.gov.\n\nThe .parquet file is in the LCIA Formatter's LCIAmethod format (https://github.com/USEPA/LCIAformatter/blob/v1.0.0/format%20specs/LCIAmethod.md). \n\nThis dataset is associated with the following publication:\nYoung, B., M. Srocka, W. Ingwersen, B. Morelli, S. Cashman, and A. Henderson. LCIA Formatter.   Journal of Open Source Software. Journal of Open Source Software,    6(66): 3392, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522445",
      "keyword": [
        "LCIA",
        "LCIA formatter",
        "LCA data",
        "indicators for LCA",
        "impact methods",
        "recipe LCA"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "ReCiPe 2016 - Midpoint_I_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Midpoint_I_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReCiPe 2016 - Midpoint_H_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Midpoint_H_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReCiPe 2016 - Midpoint_E_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Midpoint_E_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReCiPe 2016 - Endpoint_I_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Endpoint_I_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReCiPe 2016 - Endpoint_H_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Endpoint_H_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ReCiPe 2016 - Endpoint_E_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522445/ReCiPe%202016%20-%20Endpoint_E_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/recipe/ReCiPe_2016_v1.0.0_5555779.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/recipe/ReCiPe_2016_v1.0.0_5555779.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-11",
      "references": [
        "https://doi.org/10.21105/joss.03392",
        "https://pasteur.epa.gov/uploads/10.23719/1522445/documents/References.txt",
        "https://pasteur.epa.gov/uploads/10.23719/1522445/documents/ReCiPe2016v1.1toFEDEFLv1.0.7mapping.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522445/documents/About_ReCiPe2016v1.1toFEDEFLv1.0.7mapping.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FEDEFL Inventory Methods v1.0.0",
      "description": "FEDEFL Inventory Methods v1.0.0 is a life cycle inventory analysis or grouping method for flows in the Federal Elementary Flow List (FEDEFL) (EPA 2019). Like the related life cycle impact assessment (LCIA) methods, this dataset includes collections of characterization factors for a given flow (e.g., NH3 to air) for a set of categories (e.g., acidification), provided in units of group equivalence per unit mass of the flowable. But the methods are simplified in that the factors are generally 1 as they only classify flows according to categories or groupings. These methods are typically used along with life cycle inventory data to provide indicators for reporting in life cycle assessment (LCA).\n\nThe groupings provided for FEDEFL flows in this method include land use, freshwater resources, water resources, mineral resources, energy, nonrenewable energy, renewable energy, hazardous air pollutants (HAPs) and pesticides. \n\nThis dataset was created by the LCIA Formatter v1.0 (https://github.com/USEPA/LCIAformatter). The LCIA Formatter is a tool for providing standardized life cycle impact assessment and inventory methods with characterization factors transparently applied to flows from an authoritative flow list, like the FEDEFL. The LCIA Formatter used the fedelemflowlist v1.0.7 tool @ https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List, which subsets the flow list to create the various groupings with a combination of flow type and context matches, or by identifying matched flows in mapping files. Relevant mappings and explanatory notes are provided separately. \n\nThe zip file is a compressed archive of JSON files following the openLCA schema @ https://greendelta.github.io/olca-schema. Usage Notes for zip file: This file was tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. It will provide matching factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database that are classified in the provided groupings.  This file itself does not contain the elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository @ https://www.lcacommons.gov.\n\nThe .parquet file is in the LCIA Formatter's LCIAmethod format. https://github.com/USEPA/LCIAformatter/blob/v1.0.0/format%20specs/LCIAmethod.md\nUsage notes for parquet file: The .parquet file can be read in by any Apache parquet reader. \n\nReferences\nEPA 2019. The Federal LCA Commons Elementary Flow List: Background, Approach, Description and Recommendations for Use. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=347251. \n\nThis dataset is associated with the following publication:\nYoung, B., M. Srocka, W. Ingwersen, B. Morelli, S. Cashman, and A. Henderson. LCIA Formatter.   Journal of Open Source Software. Journal of Open Source Software,    6(66): 3392, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522414",
      "keyword": [
        "LCIA",
        "LCA data",
        "life cycle inventory grouping methods",
        "Federal LCA Commons data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/fedefl/FEDEFL_Inventory_v1.0.0_5555779.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/fedefl/FEDEFL_Inventory_v1.0.0_5555779.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FEDEFL_Inventory_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522414/FEDEFL_Inventory_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-11",
      "references": [
        "https://doi.org/10.21105/joss.03392",
        "https://pasteur.epa.gov/uploads/10.23719/1522414/documents/USDA_CUStoFEDEFLv1.0.7.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522414/documents/USGS_MCStoFEDEFLv1.0.7.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522414/documents/HAP_flows.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522414/documents/AboutFEDEFLGroupingsforFEDEFLInventoryMethodsv1.0.0.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TRACIv2.1 for FEDEFLv1",
      "description": "TRACIv2.1 (Bare 2012) is a life cycle impact assessment (LCIA) method. LCIA methods are collections of characterization factors, which are measures of relative potency or potential impact, for a given flow (e.g., NH3 to air) for a set of impact categories (e.g., acidification), provided in units of potency or impact equivalents per unit mass of the flowable associated with a given context (e.g., 1.88 kg SO2 eq/kg NH3 emitted to air). LCIA methods are typically used along with life cycle inventory data to estimate potential impacts in life cycle assessment (LCA).\n\nThe FEDEFL or Federal LCA Commons Elementary Flow List (EPA 2019) is the standardized elementary flow list for use with data meeting the US Federal LCA Commons data guidelines.\n\nIn this dataset, TRACv2.1 is applied to FEDEFL v1.0.7  flows. This dataset was created by the LCIA Formatter v1.0 (https://github.com/USEPA/LCIAformatter). The LCIA Formatter is a tool for providing standardized life cycle impact assessment methods with characterization factors transparently applied to flows from an authoritative flow list, like the FEDEFL. The LCIA Formatter draws from the original TRACIv2.1 source file and the TRACI->FEDEFL flow mapping. The LCIA formatter accesses this mapping file through the fedelemflowlist tool available @ https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List. This mapping file and a note about the mapping are provided separately. Where a flow context is less specific in the FEDEFL (e.g., air) relative to the TRACIv2.1 flow contexts (e.g., air/rural), the LCIA Formatter applies the average of the relevant characterization factors from TRACIv2.1 to the FEDEFL flow. \n\nThe zip file is a compressed archive of JSON files following the openLCA schema at https://greendelta.github.io/olca-schema. Usage Notes for zip file: This file was tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. It will provide matching characterization factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database. This file itself does not contain the elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository @ https://www.lcacommons.gov\nThe .parquet file is in the LCIA Formatter's LCIAmethod format. https://github.com/USEPA/LCIAformatter/blob/v1.0.0/format%20specs/LCIAmethod.md\nUsage notes for parquet file: The .parquet file can be read in by any Apache parquet reader. \n\nReferences\nBare, J. C. 2012. Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts (TRACI), Version 2.1 - User’s Manual https://www.epa.gov/chemical-research/tool-reduction-and-assessment-chemicals-and-other-environmental-impacts-traci\nEPA 2019. The Federal LCA Commons Elementary Flow List: Background, Approach, Description and Recommendations for Use. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=347251. \n\nThis dataset is associated with the following publication:\nYoung, B., M. Srocka, W. Ingwersen, B. Morelli, S. Cashman, and A. Henderson. LCIA Formatter.   Journal of Open Source Software. Journal of Open Source Software,    6(66): 3392, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522413",
      "keyword": [
        "LCA indicators",
        "life cycle impact assessment methods",
        "Federal LCA Commons data",
        "LCIA formatter",
        "TRACI",
        "impact methods",
        "Life cycle assessment (LCA)"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/traci/TRACI_2.1_v1.0.0_5555779.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/traci/TRACI_2.1_v1.0.0_5555779.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TRACI_2.1_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522413/TRACI_2.1_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-11",
      "references": [
        "https://doi.org/10.21105/joss.03392",
        "https://pasteur.epa.gov/uploads/10.23719/1522413/documents/TRACI2.1toFEDEFLv1.0.7mapping.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522413/documents/About_TRACI2.1toFEDEFLv1.0.7mapping.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ImpactWorld+v1.3 for FEDEFLv1",
      "description": "ImpactWorld+ v1.3 (Bulle et al. 2019) is a life cycle impact assessment (LCIA) method. LCIA methods are collections of characterization factors, which are measures of relative potency or potential impact, for a given flow (e.g., NH3 to air) for a set of impact categories (e.g., acidification), provided in units of potency or impact equivalents per unit mass of the flowable associated with a given context (e.g., 1.88 kg SO2 eq/kg NH3 emitted to air). LCIA methods are typically used along with life cycle inventory data to estimate potential impacts in life cycle assessment (LCA).\n\nThe FEDEFL or Federal LCA Commons Elementary Flow List (EPA 2019) is the standardized elementary flow list for use with data meeting the US Federal LCA Commons data guidelines.\n\nIn this dataset, ImpactWorld+ is applied to FEDEFL v1.0.7 flows. This dataset was created by the LCIA Formatter v1.0 (https://github.com/USEPA/LCIAformatter). The LCIA Formatter is a tool for providing standardized life cycle impact assessment methods with characterization factors transparently applied to flows from an authoritative flow list, like the FEDEFL. The LCIA Formatter draws from the original ImpactWorld+ source file and the ImpactWorld+ to FEDEFL flow mapping. The LCIA formatter accesses this mapping file through the fedelemflowlist tool available at https://github.com/USEPA/Federal-LCA-Commons-Elementary-Flow-List. This mapping file and a note about the mapping are provided separately. The LCIA Formatter generates separate Midpoint and Endpoint impact assessment methods for ImpactWorld+.\n\nThe zip files are compressed archives of JSON files following the openLCA schema at https://greendelta.github.io/olca-schema. Separate files are provided for Midpoint and Endpoint methods. Usage Notes for zip files: The files were tested to correctly import into an openLCA v1.10 database already containing flows from the FEDEFL v1.0.7. They will provide matching characterization factors for any FEDEFL v1.0 to 1.0.7 elementary flow already present in the database. The files do not contain the associated elementary flows. The complete FEDEFL v1.0.7 flow list may be retrieved from the Federal LCA Commons elementary flow list repository at https://www.lcacommons.gov.\nThe .parquet file is in the LCIA Formatter's LCIAmethod format (https://github.com/USEPA/LCIAformatter/blob/v1.0.0/format%20specs/LCIAmethod.md). \n\nReferences\nBulle, Cecile, Manuele Margni, Laure Patouillard, Anne-Marie Boulay, Guillaume Bourgault, Vincent De Bruille, Viet Cao, et al. IMPACT World+: A Globally Regionalized Life Cycle Impact Assessment Method. The International Journal of Life Cycle Assessment 24, no. 9 (September 2019), 1653–74. https://doi.org/10.1007/s11367-019-01583-0.\nEPA 2019. The Federal LCA Commons Elementary Flow List: Background, Approach, Description and Recommendations for Use. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=347251. \n\nThis dataset is associated with the following publication:\nYoung, B., M. Srocka, W. Ingwersen, B. Morelli, S. Cashman, and A. Henderson. LCIA Formatter.   Journal of Open Source Software. Journal of Open Source Software,    6(66): 3392, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522444",
      "keyword": [
        "LCIA",
        "LCIA formatter",
        "life cycle impact assessment",
        "LCA data",
        "impact methods"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "ImpactWorld+ - Midpoint_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522444/ImpactWorld%2B%20-%20Midpoint_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ImpactWorld+ - Endpoint_json_v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522444/ImpactWorld%2B%20-%20Endpoint_json_v1.0.0.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/impactworld/ImpactWorld%2B_v1.0.0_5555779.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/impactworld/ImpactWorld%2B_v1.0.0_5555779.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-11",
      "references": [
        "https://doi.org/10.21105/joss.03392",
        "https://pasteur.epa.gov/uploads/10.23719/1522444/documents/ImpactWorld%2Bv1.3toFEDEFLv1.0.7mapping.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522444/documents/About_ImpactWorld%2Bv1.3toFEDEFLv1.0.7mapping.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate effects on US infrastructure: the economics of adaptation for rail, roads, and coastal development",
      "description": "Data and code supporting journal Climatic Change paper with title \"Climate effects on US infrastructure: the economics of adaptation for rail, roads, and coastal development\". Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522605",
      "keyword": [
        "climate change",
        "sea level rise",
        "temperature",
        "road",
        "rail"
      ],
      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "Roads - quarter degree lat long.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522605/Roads%20-%20quarter%20degree%20lat%20long.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rail - half degree lat long.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522605/Rail%20-%20half%20degree%20lat%20long.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NCPM National Results - Climatic Change.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522605/NCPM%20National%20Results%20-%20Climatic%20Change.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-oar.s3.amazonaws.com/index.html?prefix=Neumann%20et%20al.%202021%20Package%20/",
          "accessURL": "https://dmap-data-commons-oar.s3.amazonaws.com/index.html?prefix=Neumann%20et%20al.%202021%20Package%20/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-11",
      "references": [
        "https://dx.doi.org/10.1007/s10584-021-03179-w",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459675"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Comparing Exposure Routes of Pesticides in Amphibians",
      "description": "GC/MS and LC/MS-MS analysis of exposure media and concentrations in amphibians following exposure studies. \n\nThis dataset is associated with the following publication:\nGlinski, D., R.J. Van Meter, T. Purucker, and M. Henderson. Route of exposure influences pesticide body burden and the hepatic metabolome in post-metamorphic leopard frogs.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 779: 146358, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520483",
      "keyword": [
        "amphibians",
        "dermal routes",
        "pesticides",
        "body burden",
        "biomarkers"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Henderson_A-3r2f_Dataset_20201112_Dermal Routes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520483/Henderson_A-3r2f_Dataset_20201112_Dermal%20Routes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-13",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.146358"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520483/documents/Henderson_A-3r2f_DataDictionary_20201112.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "MORB_Data",
      "description": "water quality loadings (nitrogen and phosphorous) from SWAT simulations on different crop expansion scenarios. \n\nThis dataset is associated with the following publication:\nChen, P., Y. Yuan, W. Li, S. LeDuc, T. Lark, X. Zhang, and C. Clark. Assessing the Impacts of Recent Crop Expansion on Water Quality in the Missouri River Basin Using the Soil and Water Assessment Tool.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 13(6): e2020MS002284, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517798",
      "keyword": [
        "land use change",
        "nitrogen loading",
        "phosphorus loading",
        "Missouri River Basin"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "MORB_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517798/MORB_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-19",
      "references": [
        "https://doi.org/10.1029/2020ms002284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing temporal frequency of cyanobacterial blooms using imagery from the Sentinel-3A satellite sensor.",
      "description": "Assessing temporal frequency of cyanobacterial blooms using imagery from the Sentinel-3A satellite sensor. \n\nThis dataset is associated with the following publication:\nCoffer, M., B. Schaeffer, W. Salls, E. Urquhart, K.A. Loftin, R.P. Stumpf, P.J. Werdell, and J. Darling. Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 128: 107822, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520731",
      "keyword": [
        "satellite remote sensing",
        "cyanobacteria",
        "inland waters",
        "water quality",
        "clustering analysis",
        "indicator"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Coffer_BloomFrequency_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520731/Coffer_BloomFrequency_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-14",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2021.107822"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The association between SAα2,3Gal occurrence frequency and avian influenza viral load in mallards (Anas platyrhynchos) and blue-winged teals (Spatula discors)",
      "description": "The dataset contains the data used to examine how avian influenza infection in mallards and blue-winged teal is associated with the abundance and distribution of different types of sialic acid, the primary influenza receptor in vertebrates. Histochemistry and PCR were used to examine sialic acid and viral titer, respectively. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522619",
      "keyword": [
        "avian",
        "Influenza",
        "Lectin histochemistry",
        "Super-shedder"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://bmcvetres.biomedcentral.com/articles/10.1186/s12917-020-02642-7",
          "accessURL": "https://bmcvetres.biomedcentral.com/articles/10.1186/s12917-020-02642-7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-01",
      "references": [
        "https://dx.doi.org/10.1186/s12917-020-02642-7"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sub-lethal and Lethal Methods to Detect Recent Imidacloprid Exposure in Birds with Application to Field Studies",
      "description": "The dataset includes information on birds used in the study and the samples collected as well as imidacloprid and imidacloprid metabolite data. The first author should be contacted prior to using these data at charlotte.roy@state.mn.us. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522620",
      "keyword": [
        "Feces",
        "imidacloprid",
        "Metabolite",
        "neonicotinoid",
        "parent compound",
        "Tissue"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Metabolite data for ETNC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522620/Metabolite%20data%20for%20ETNC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Data for ETNC.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522620/Data%20for%20ETNC.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-03-01",
      "references": [
        "https://dx.doi.org/10.1002/etc.4721"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "publication of RARE project mercury results",
      "description": "mercury concentrations determined in fish tissue samples collected from the Penobscot River, Maine. \n\nThis dataset is associated with the following publication:\nMelnyk, L., J. Lin, D. Kusnierz, K. Pugh, J. Durant, R. Suarez-Soto, R. Venkatapathy, D. Sundaravadivelu, A. Morris, J. Lazorchak, G. Perlman, and M. Stover. Risks from mercury in anadromous fish collected from Penobscot River, Maine.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 781: 146691, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521269",
      "keyword": [
        "mercury",
        "fish",
        "consumption",
        "anadromous"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [
        {
          "title": "RARE-PIN-moisture.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521269/RARE-PIN-moisture.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RARE-PIN-Mercury-FINAL.XLSX",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521269/RARE-PIN-Mercury-FINAL.XLSX",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RARE Lipid Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521269/RARE%20Lipid%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.146691"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIOv2.0",
      "description": "This dataset provides the waste sector disaggregation data, model component matrices, model result matrices, model price adjustment matrices, and associated metadata for the USEEIOv2.0 model. This model was generated using useeiorv0.4 (https://github.com/USEPA/useeior/tree/v0.4/) by calling the buildModel() function and passing \"USEEIOv2.0\" as the model. This uses the model configuration file, which can be found @ https://github.com/USEPA/useeior/blob/v0.4/inst/extdata/modelspecs/USEEIOv2.0.yml. The resulting model was exported using the writeModeltoXLSX() function to create this dataset. The waste disaggregation data are required for model building and also embedded in the useeiorv0.4. The generateModelIdentifier() function was used on the same model create the model identifier. The US dollar (USD) year for the model data, where USD is used, is 2012. See any additional notes in Contents on specific components. A complete description can be found in the associated manuscript. \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521337",
      "keyword": [
        "life cycle assessment",
        "life cycle inventory data",
        "sustainability",
        "input-output data"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv2.0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521337/USEEIOv2.0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-11",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1521337/documents/Rsessioninfo.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Occurrence of contaminants of emerging concern in aquatic ecosystems utilized by Minnesota tribal communities",
      "description": "The data include sample location information as well as chemical concentration data in water, sediment, and fish tissue. This dataset is not publicly accessible because: The dataset owner and principle investigator requested that the data not be publicly available because they were collected on tribal lands. It can be accessed through the following means: Data can be obtained by contacting project principle investigators, Dr. Seth Moore (samoore@boreal.org) and Dr. Tiffany Wolf (wolfx305@umn.edu). Format: The data are contained in Excel spreadsheets as xlsx and csv files. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522623",
      "keyword": [
        "chemicals of emerging concern",
        "pharmaceuticals",
        "Personal care products",
        "aquatic toxicology",
        "indigenous peoples",
        "ecosystem health"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [],
      "modified": "2020-06-15",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2020.138057"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Neurobehavioral Abnormalities and Immunotoxicity in Response to Oral Imidacloprid Exposure in Domestic Chickens (Gallus gallus domesticus)",
      "description": "These data are a result of an experiment to examine the effect of imidacloprid on chicken immunity and behavior. There are therefore several sets of physiological data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522622",
      "keyword": [
        "Avian toxicity",
        "behavioral toxicology",
        "neurotoxicity",
        "neonicotinoids",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.13020/s0ev-vr77",
          "accessURL": "https://doi.org/10.13020/s0ev-vr77",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-12-16",
      "references": [
        "https://dx.doi.org/10.1080/15287394.2020.1723154"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in manuscript. ",
      "description": "The data used in manuscript figures/tables are presented in the attached Excel file. Sheets represent figures and tables used in manuscript according tabs. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521146",
      "keyword": [
        "lead",
        "sequential sample",
        "flushed sample",
        "identification"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "LSL SciHub 03-29-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521146/LSL%20SciHub%2003-29-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with comparison of recharge from drywells and infiltration basins: a modeling study",
      "description": "This research effort is a modeling study using the HYDRUS (2D/3D) computer program (www.pc-progress.com) and described in the manuscript/journal article entitled “Comparison of recharge from drywells and infiltration basins: a modeling study.” \n\nAll the tables and figures in the journal article will be documented within an Excel spreadsheet that will include worksheet tabs with data associated with each table and figure.   The tabs, columns, and rows will be clearly labeled to identify table/figures, variables, and units.   \n\nThe information supporting the model runs will be supported in the example library of HYDRUS (2D/3D) maintained by PC-Progress.  Non-standard HYDRUS subroutines for the drywell and for the infiltration pond simulations that were funded by this research will be added and made available for viewing and download.  After the 1 year embargo period the site will include a link to the PubMed Central manuscript.  For example, the HYDRUS library for the transient head drywell associated with the Sasidharan et al. (2018) paper is now active (https://www.pcprogress.com/en/Default.aspx?h3d2-lib-Drywell ). \n\nThis dataset is associated with the following publication:\nSasidharan, S., S. Bradford, J. Simunek, and S. Kraemer. Comparison of recharge from drywells and infiltration basins: A modeling study.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 594: 125720, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521338",
      "keyword": [
        "vadose infiltration well",
        "HYDRUS 2D/3D",
        "drywell",
        "managed aquifer recharge (MAR)"
      ],
      "contactPoint": {
        "fn": "Stephen Kraemer",
        "hasEmail": "mailto:kraemer.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "KraemerStephen_A-x6bn_Data_20210620.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521338/KraemerStephen_A-x6bn_Data_20210620.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-04",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2020.125720"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mercury levels in Gambusia in the Florida Everglades, 1995-2014",
      "description": "Mercury concentrations in various environmental media, as well as water quality characteristics, from survey samples taken in the Florida Everglades. Portions of this dataset are inaccessible because: will add after peer review. They can be accessed through the following means: will add after peer review. Format: will add after peer review. \n\nThis dataset is associated with the following publication:\nKalla, P., M. Cyterski, D. Scheidt, and J. Minucci. Spatiotemporal effects of interacting water quality constituents on mercury in a common prey fish in a large, perturbed, subtropical wetland.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 792: 148321, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520051",
      "keyword": [
        "eastern mosquitofish (Gambusia holbrooki)",
        "habitat",
        "Everglades",
        "mercury",
        "sulfur",
        "phosphorus",
        "organic carbon",
        "trophic state"
      ],
      "contactPoint": {
        "fn": "Michael Cyterski",
        "hasEmail": "mailto:cyterski.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "Everglades_Gambusia_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520051/Everglades_Gambusia_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.148321"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GHS City3 2014-2015",
      "description": "Data that describes the effects of pesticide usage on children's health. This dataset is not publicly accessible because: Data are held by CDC and its grantee, Tulane University. It can be accessed through the following means: Data can be access by emailing the lead author of the publication, Derek Werthmann at dwerthma@tulane.edu. CDC is the lead federal agency and the project officer, Ginger Chew, can be reached at gjc0@cdc.gov. Format: Data are formatted for analysis in SAS. \n\nThis dataset is associated with the following publication:\nTulve, N., D. Werthmann, F. Rabito, D. Stout, N. Tulve, G. Adamkiewicz, A. Calafat, M. Ospina, and G. Chew. Pyrethroid Exposure among Children Residing in Green Versus Non-Green Multi-Family, Low-Income Housing.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 31: 549-559, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520129",
      "keyword": [
        "urinary metabolites",
        "children",
        "pyrethroids",
        "urban",
        "green housing"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [],
      "modified": "2020-02-03",
      "references": [
        "https://doi.org/10.1038/s41370-021-00312-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset ",
      "description": "In this study, a major effort was undertaken to compile a large genotoxicity dataset (54,805 records for 9299 substances) from several public sources (e.g., TOXNET, COSMOS, eChemPortal). The names and outcomes of the different assays were harmonized, and assays were annotated by type: gene mutation in Salmonella bacteria (Ames assay) and chromosome mutation (clastogenicity) in vitro or in vivo (chromosome aberration, micronucleus, and mouse lymphoma Tk+/- assays). This dataset was then evaluated to assess genotoxic potential using a categorization scheme, whereby a substance was considered genotoxic if it was positive in at least one Ames or clastogen study. The categorization dataset comprised 8442 chemicals, of which 2728 chemicals were genotoxic, 5585 were not and 129 were inconclusive. QSAR models (TEST and VEGA) and the OECD Toolbox structural alerts/profilers (e.g., OASIS DNA alerts for Ames and chromosomal aberrations) were used to make in silico predictions of genotoxicity potential. The performance of the individual QSAR tools and structural alerts resulted in balanced accuracies of 57-73%. A Naïve Bayes consensus model was developed using combinations of QSAR models and structural alert predictions. The ‘best’ consensus model selected had a balanced accuracy of 81.2%, a sensitivity of 87.24% and a specificity of 75.20%. This in silico scheme offers promise as a first step in ranking thousands of substances as part of a prioritization approach for genotoxicity. \n\nThis dataset is associated with the following publication:\nPradeep, P., R. Judson, D. DeMarini, N. Keshava, T. Martin, J. Dean, C. Gibbons, A. Simha, S. Warren, M. Gwinn, and G. Patlewicz. An Evaluation of Existing QSAR Models and Structural Alerts and Development of New Ensemble Models for Genotoxicity Using a Newly Compiled Experimental Dataset.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 18: 100167, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520958",
      "keyword": [
        "genotoxicity",
        "structural alert",
        "Ames",
        "clastogenicity",
        "qsar",
        "TSCA",
        "Risk-based prioritization",
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/g-patlewicz/genetox",
          "accessURL": "https://github.com/g-patlewicz/genetox",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/Comptox/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-genetox/",
          "accessURL": "https://gaftp.epa.gov/Comptox/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-genetox/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": [
        "https://doi.org/10.1016/j.comtox.2021.100167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub (Final) sexage",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518480",
      "keyword": [
        "Nontuberculous Mycobacterium",
        "epidemiology",
        "demographics",
        "age",
        "sex",
        "State of residence",
        "prevelance rate"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub (Final) sexage.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518480/SciHub%20%28Final%29%20sexage.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-23",
      "references": [
        "https://doi.org/10.1186/s12879-021-05925-y"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used to produce figures and tables",
      "description": "The excel spreadsheet includes data used to create figures and tables used in the manuscript. Tabs in spreadsheet refer to the appropriate figure or table. \n\nThis dataset is associated with the following publication:\nDore, E., C. Formal, C. Muhlen, D. Williams, S. Harmon, M. Pham, S. Triantafyllidou, and D. Lytle. Effectiveness of point-of-use and pitcher filters at removing lead phosphate nanoparticles from drinking water.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 201: 117285, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520522",
      "keyword": [
        "lead",
        "Pb",
        "colloidal particles",
        "Nanoparticles",
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        "point-of-use filter",
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      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
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          "title": "SciHub_ChallengePOUPaper_WithoutBrands.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520522/SciHub_ChallengePOUPaper_WithoutBrands.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2020-10-14",
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            "name": "U.S. Environmental Protection Agency",
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                "name": "U.S. Government"
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    },
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      "title": "Lake Superior Lower Food Web Surveys: Diporeia density and biomass, 2006, 2011, 2016",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "survey design",
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        "biomass",
        "Lake Superior",
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        "benthic macroinvertebrates",
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      ],
      "contactPoint": {
        "fn": "Jill Scharold",
        "hasEmail": "mailto:scharold.jill@epa.gov"
      },
      "distribution": [
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          "title": "LakeSuperiorDiporeia_2006_2011_2016.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520064/LakeSuperiorDiporeia_2006_2011_2016.xlsx",
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        }
      ],
      "modified": "2020-10-09",
      "references": [
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            "name": "U.S. Environmental Protection Agency",
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      },
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          "title": "BiophysicalProcesses_PensacolaBay_FullDataset.zip",
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      "title": "Superfund cleanups and children’s lead exposure in six states",
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        "lead contaminated soil",
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      "contactPoint": {
        "fn": "Heather Klemick",
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      },
      "distribution": [
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        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/lead_compounds_NATA2005.zip",
          "mediaType": "application/zip",
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          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://wwwn.cdc.gov/nchs/nhanes/Default.aspx",
          "accessURL": "https://wwwn.cdc.gov/nchs/nhanes/Default.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cumulis.epa.gov/supercpad/cursites/srchsites.cfm",
          "accessURL": "https://cumulis.epa.gov/supercpad/cursites/srchsites.cfm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "http://sedac.ciesin.columbia.edu/data/set/superfund-atsdr-hazardous-waste-site-ciesin-mod-v2",
          "accessURL": "http://sedac.ciesin.columbia.edu/data/set/superfund-atsdr-hazardous-waste-site-ciesin-mod-v2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://catalog.data.gov/dataset/military-installations-ranges-and-training-areas",
          "accessURL": "https://catalog.data.gov/dataset/military-installations-ranges-and-training-areas",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/brownfields/brownfields-grantee-reporting-using-assessment-cleanup-and-redevelopment-exchange-system",
          "accessURL": "https://www.epa.gov/brownfields/brownfields-grantee-reporting-using-assessment-cleanup-and-redevelopment-exchange-system",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/cleanups/cleanups-my-community",
          "accessURL": "https://www.epa.gov/cleanups/cleanups-my-community",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RCRA CA sites in CIMC Dev 0719207.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/RCRA%20CA%20sites%20in%20CIMC%20Dev%200719207.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RCRA_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/RCRA_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ca_event_code_definitions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/ca_event_code_definitions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "source_code_definitions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/source_code_definitions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "waste_code_definitions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/waste_code_definitions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "waste_codes_lead.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518697/waste_codes_lead.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://catalog.data.gov/dataset/tiger-line-shapefile-2015-nation-u-s-military-installation-national-shapefile",
          "accessURL": "https://catalog.data.gov/dataset/tiger-line-shapefile-2015-nation-u-s-military-installation-national-shapefile",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-12-16",
      "references": [
        "https://dx.doi.org/10.1016/j.jeem.2019.102289",
        "https://pasteur.epa.gov/uploads/10.23719/1518697/documents/data%20sources%20for%20ScienceHub.docx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Crop Rotation Literature Data",
      "description": "N credit data (research articles, universities) and nutrient loss data for crop rotations. \n\nThis dataset is associated with the following publication:\nKoropeckyj-Cox, L., R.D. Christianson, and Y. Yuan. Effectiveness of Crop Rotation on Water Quality Improvement: A Synthesis.   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 64(2): 691-704, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518462",
      "keyword": [
        "crop rotation",
        "conservation practice",
        "nitrogen credit",
        "nutrient manageemnt",
        "water quality",
        "Cost Analysis"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "N_Credit_Data_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518462/N_Credit_Data_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "N_Credit_Data_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518462/N_Credit_Data_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-09",
      "references": [
        "https://doi.org/10.13031/trans.14017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SFBR-Bed Load -Bradshaw",
      "description": "Fecal indicator concentrations, and water quality physico-chemical parameters. \n\nThis dataset is associated with the following publications:\nBradshaw, J.K., B. Snyder, D. Spidle, R. Sidle, K. Sullivan, and M. Molina. Sediment and fecal indicator bacteria loading in a mixed land use watershed: Contributions from suspended sediment and bedload transport.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 50(3): 598-611, (2021).\nMeinersmann, R.J., M.E. Berrang, J.K. Bradshaw, M. Molina, D.E. Cosby, L.L. Genzlinger, and B. Snyder. Recovery of thermophilic Campylobacter by three sampling methods from river sites in Northeast Georgia, USA, and their antimicrobial resistance genes.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 71(1): 102-107, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522589",
      "keyword": [
        "Watershed",
        "bedload",
        "fecal indicator bacteria",
        "bacterial loading"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "SFBR-Bed Load-Bradshaw.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522589/SFBR-Bed%20Load-Bradshaw.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-12-30",
      "references": [
        "https://doi.org/10.1002/jeq2.20166",
        "https://doi.org/10.1111/lam.13224"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub Data for Haugland et al JMM 2020",
      "description": "Paired data for estimates of E. coli concentrations by culture analysis and E. coli gene copies by Draft Method C for 6965 ambient water samples from state of Michigan. \n\nThis dataset is associated with the following publication:\nHaugland, R., K. Oshima, and M. Sivaganesan. Large-scale comparison of E. coli levels determined by culture and a qPCR method (EPA Draft Method C) in Michigan towards the implementation of rapid, multi-site beach testing.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 184: 106186, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522590",
      "keyword": [
        "Linear regression models",
        "Pearson R-square",
        "water quality thresholds",
        "exceedances"
      ],
      "contactPoint": {
        "fn": "Richard Haugland",
        "hasEmail": "mailto:haugland.rich@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Data for Haugland et al JMM 2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522590/SciHub%20Data%20for%20Haugland%20et%20al%20JMM%202020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-26",
      "references": [
        "https://doi.org/10.1016/j.mimet.2021.106186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of the offline-coupled GFSv15-FV3-CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States",
      "description": "No dataset is directly uploaded to ScienceHub. The data are permanently available from the corresponding author. This dataset is not publicly accessible because: The data generated solely by the external academic team and were not shared in raw form with EPA. EPA reviewed the final figures, experimental methodology, model configuration and assumptions, and conclusions of the paper for accuracy, precision, and scientific relevance. It can be accessed through the following means: The data are, as indicated in the publication, available freely upon request from the corresponding author, a professor currently of the Department of Civil and Environmental Engineering at Northeastern University in Boston. According to the publication emails may be sent to: Yang Zhang (ya.zhang@northeastern.edu). Format: The data are comprised of model outputs from the weather forecasting model FV3 and the air quality model CMAQ, as well as measurement data for meteorological metrics and air pollution observations.\r\n\r\nThe data are presented in a number of tables, maps, scatterplots and bar plots. \n\nThis dataset is associated with the following publication:\nChen, X., Y. Zhang, K. Wang, D. Tong, P. Lee, Y. Tang, J. Huang, P. Campbell, J. McQueen, H. Pye, B. Murphy, and D. Kang. Evaluation of the offline-coupled GFSv15–FV3–CMAQv5.0.2 in support of the next-generation National Air Quality Forecast Capability over the contiguous United States.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14: 3969–3993, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520905",
      "keyword": [
        "air quality",
        "CMAQ",
        "FV3",
        "forecast",
        "bias-correction"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [],
      "modified": "2021-01-19",
      "references": [
        "https://doi.org/10.5194/gmd-14-3969-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impacts of U.S. Stream Water Exposures on Lipid Classes in Zebrafish Liver Cells",
      "description": "Impacts of U.S. Streams on the Lipidome of Zebrafish Liver Cells. \n\nThis dataset is associated with the following publication:\nZhen, H., Q. Teng, J. Mosley, T. Collette, Y. Yue, P. Bradley, and D. Ekman. Untargeted Lipidomics for Determining Cellular and Subcellular Responses in Zebrafish (Danio rerio) Liver Cells Following Exposure to Complex Mixtures in U.S. Streams.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(12): 8180–8190, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520709",
      "keyword": [
        "lipidomics",
        "cell culture",
        "water quality",
        "environmental monitoring",
        "organelles"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "All Lipid Class Responses - All Sites.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520709/All%20Lipid%20Class%20Responses%20-%20All%20Sites.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-01",
      "references": [
        "https://doi.org/10.1021/acs.est.1c01132"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520709/documents/Data%20Dictionary%20-%20Lipid%20Classes%20and%20Abbreviations.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Black et al_human rat and trout CLint_ScienceHub entry",
      "description": "This dataset provides measured in vitro intrinsic clearance rates for 54 chemicals tested using isolated hepatocytes from humans, rats, and rainbow trout.  The test chemicals were selected to provide broad coverage across the industrial and pesticidal chemical space while also prioritizing chemicals of interest to EPA’s Endocrine Disruptor Screening Program (EDSP).  A data evaluation framework was developed to identify results suitable for rate reporting.  Acceptable results were then used to evaluate the chemical domain of applicability of the applied methods, the influence of starting substrate concentration on measured rates of intrinsic clearance, and differences in metabolic activity among species.  These findings provide data for chemicals of specific interest to the EDSP.  More importantly, the results provide critical guidance on future use of in vitro biotransformation assays to support high-throughput chemical risks assessments. \n\nThis dataset is associated with the following publication:\nBlack, S., J. Nichols, K. Fay, S. Matten, and S. Lynn. Evaluation and comparison of in vitro intrinsic hepatic clearance rates measured using cryopreserved hepatocytes from humans, rats, and rainbow trout.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 457: 152819, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520744",
      "keyword": [
        "biotransformation",
        "in vitro intrinsic clearance",
        "in vitro in vivo extrapolation",
        "hepatocytes"
      ],
      "contactPoint": {
        "fn": "John Nichols",
        "hasEmail": "mailto:nichols.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Black et al_ScID A-4b8t_Dataset_20210129_entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520744/Black%20et%20al_ScID%20A-4b8t_Dataset_20210129_entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-29",
      "references": [
        "https://doi.org/10.1016/j.tox.2021.152819"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data of Legionella pneumophila determined by culture and Legiolert methods",
      "description": "This Excel file contains all the raw data of Legionella pneumophila determined by both culture and Legiolert methods. Datasheets were prepared separately for each figure and table. \n\nThis dataset is associated with the following publication:\nBoczek, L., M. Tang, C. Formal, D. Lytle, and H. Ryu. Comparison of two culture methods for the enumeration of Legionella pneumophila from potable water samples.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 19(3): 468-477, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520738",
      "keyword": [
        "Legionella pneumophila",
        "Legiolert",
        "BCYE agar",
        "drinking water",
        "simulated home plumbing system"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Clearance data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520738/Clearance%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-27",
      "references": [
        "https://doi.org/10.2166/wh.2021.051"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Greywater Reuse - Microbial taxa ",
      "description": "This provides taxonomic data (as relative abundances) derived from metagenomic sequencing of greywater samples. \n\nThis dataset is associated with the following publication:\nNagarkar, M., S. Keely, N. Brinkman, and J. Garland. Human- and Infrastructure-associated Bacteria in Greywater.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 131(1): 15118, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519299",
      "keyword": [
        "greywater",
        "microbiome",
        "metagenomics"
      ],
      "contactPoint": {
        "fn": "Maitreyi Nagarkar",
        "hasEmail": "mailto:nagarkar.maitreyi@epa.gov"
      },
      "distribution": [
        {
          "title": "Nagarkar_JAMreview_SciHubDataSubmission.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519299/Nagarkar_JAMreview_SciHubDataSubmission.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-13",
      "references": [
        "https://doi.org/10.1111/jam.15118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Temperature and work: Time allocated to work under varying climate and labor market conditions",
      "description": "Data and code for analysis described in Neidell et al. (2021) - Temperature and work: Time allocated to work under varying climate and labor market conditions. PLOSONE. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522875",
      "keyword": [
        "climate change",
        "air temperature",
        "labor"
      ],
      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "Weather data_projections.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/Weather%20data_projections.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wages.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/Wages.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US Business Cycles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/US%20Business%20Cycles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sunrise sunset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/sunrise%20sunset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPSA to FIPS crosswalk.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/CPSA%20to%20FIPS%20crosswalk.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Census Delineation Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/Census%20Delineation%20Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ACS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/ACS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Weather processing scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/Weather%20processing%20scripts.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Stata processing and analysis.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522875/Stata%20processing%20and%20analysis.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-oar.s3.amazonaws.com/index.html?prefix=Neidell%20et%20al.%20(2021)/",
          "accessURL": "https://dmap-data-commons-oar.s3.amazonaws.com/index.html?prefix=Neidell%20et%20al.%20(2021)/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-09",
      "references": [
        "https://dx.doi.org/10.1371/journal.pone.0254224",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386856"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors",
      "description": "Additional details used in the methods are found in the MS Word file “S1_Dawson et al._Supporting_Information.docx”. The MS Excel file “S2_Dawson et al. Supporting Information.xlsx” contains datasets and graphical results.  The Excel file sheets are as follows: S2.1 illustrates Clint hepatic flow calculations, S2.2 - 5 include training and test data sets; S2.6-7 include figures illustrating Clint  model selection criteria and assemblages of model descriptors; S2.8 includes confusion matrices for evaluation Clint model,  S2.9-10 include figures illustrating fup model selection criteria and assemblages of model descriptors (with ranges); S2.11 includes tables of model assessments of the Clint test set, S2.12 includes information relevant to BER calculations for the ToxCast test set, S2.13 includes information relevant to BER calculations for Tox21 chemicals, and S2.14 provides information on different transformations for fup. \n\nThis dataset is associated with the following publication:\nDawson, D., B. Ingle, K. Phillips, J. Nichols, J. Wambaugh, and R. Tornero-Velez. Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(9): 6505, (6517).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522636",
      "keyword": [
        "Environmental toxicology",
        "plasma protein binding",
        "metabolic clearance",
        "machine learning",
        "domain of applicability",
        "quantitative structure activity relationship (QSAR)"
      ],
      "contactPoint": {
        "fn": "Rogelio Tornero-Velez",
        "hasEmail": "mailto:tornero-velez.rogelio@epa.gov"
      },
      "distribution": [
        {
          "title": "S2_Dawson et al. Supporting_Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522636/S2_Dawson%20et%20al.%20Supporting_Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1_Dawson et al. _Supporting Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522636/S1_Dawson%20et%20al.%20_Supporting%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-29",
      "references": [
        "https://doi.org/10.1021/acs.est.0c06117"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522636/documents/Data%20Dictionary%20and%20Guide%20to%20Supporting%20Information.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Quantifying wintertime O3 and NOx formation with relevance vector machines",
      "description": "Underlying data associated with figures in publication. Portions of this dataset are inaccessible because: Data is now available for public access. They can be accessed through the following means: Data available through Data.gov and EDG. Format: Excel spreadsheet. \n\nThis dataset is associated with the following publication:\nOlson, D., T. Riedel, J. Offenberg, M. Lewandowski, R. Long, and T. Kleindienst. Quantifying wintertime O3 and NOx formation with relevance vector machines.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 259: 118538, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520921",
      "keyword": [
        "air quality",
        "fine particulate matter (PM2.5)",
        "Ozone",
        "machine learning",
        "Secondary Organic Aerosol"
      ],
      "contactPoint": {
        "fn": "David Olson",
        "hasEmail": "mailto:olson.david@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub entry for RVM Utah (Olson et al., 2021).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520921/ScienceHub%20entry%20for%20RVM%20Utah%20%28Olson%20et%20al.%2C%202021%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-15",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118538"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Google Street View Air Quality Data: Oakland CA NO2 2015-2016 ",
      "description": "One-second NO2 data were collected via routine mobile monitoring\nin Oakland, California as part of an on-going multiinstitutional\ncollaboration between the Environmental Defense\nFund, University of Texas at Austin, and Google, among others.\nDetails of the sampling protocol are available in Apte et al. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518559",
      "keyword": [
        "NO2",
        "Google Car",
        "sensor",
        "criteria"
      ],
      "contactPoint": {
        "fn": "Elizabeth Mannshardt",
        "hasEmail": "mailto:mannshardt.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.edf.org/airqualitymaps/oakland/download-oakland-air-pollution-data",
          "accessURL": "https://www.edf.org/airqualitymaps/oakland/download-oakland-air-pollution-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-01-01",
      "references": [
        "https://dx.doi.org/10.1080/01621459.2019.1665526"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Incorporation of Remote PM2.5 Concentrations into the Downscaler Model for Spatially Fused Air Quality Surfaces\"",
      "description": "This dataset includes PM2.5 monitoring data that was the input to the Downscaler model with and without the IMPROVE data included.  Also included are the daily output from the CMAQ model and Downscaler model with and without the IMPROVE input dataset.  For the geographic coordinates of the model output, a file containing the grid-centroid latitude and longitude is also included. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522613",
      "keyword": [
        "air quality",
        "pm2.5",
        "fused surface",
        "IMPROVE",
        "Downscaler"
      ],
      "contactPoint": {
        "fn": "Brett Gantt",
        "hasEmail": "mailto:gantt.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "2014_CMAQ.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/2014_CMAQ.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014_DS_IMPROVE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/2014_DS_IMPROVE.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014_DS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/2014_DS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ds.input.aqs.pm25.2014.wIMPROVE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/ds.input.aqs.pm25.2014.wIMPROVE.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ds.input.aqs.pm25.2014.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/ds.input.aqs.pm25.2014.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "lat_lon.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522613/lat_lon.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-15",
      "references": [
        "https://dx.doi.org/10.3390/atmos11010103"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: results from existing global models and an exploratory dataset",
      "description": "This data release contains model inputs used to estimate surface water greenhouse gas fluxes from two large arid reservoirs, Lake Powell and Lake Mead. The release also contains empirical, spatially explicit water quality and greenhouse gas data from a single field survey conducted in Lake Powell in July of 2017. Finally, this release contains surface area estimates of shallow (< 15m) tributary regions of Lake Powell under different water level scenarios. \n\nThis dataset is associated with the following publication:\nWaldo, S., B. Deemer, L. Bair, and J. Beaulieu. Greenhouse gas emissions from an arid-zone reservoir and their environmental policy significance: Results from existing global models and an exploratory dataset.   Environmental Science & Policy. Elsevier Science Ltd, New York, NY, USA, 120: 53-62, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522612",
      "keyword": [
        "reservoir",
        "geomorphology",
        "Lake Powell",
        "Lake Mead"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "SI_literatureModels_20200708_forSubmission_sw.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522612/SI_literatureModels_20200708_forSubmission_sw.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-08",
      "references": [
        "https://doi.org/10.1016/j.envsci.2021.02.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets associated with \"Mining of Consumer Product and Purchasing Data to Identify Potential Chemical Co-exposures\"",
      "description": "Background: Chemicals in consumer products are a major contributor to human chemical co-exposures. Consumers purchase and use a wide variety of products containing potentially thousands of chemicals. There is a need to identify potential real-world chemical co-exposures in order to prioritize in vitro toxicity screening. However, due to the vast number of potential chemical combinations, this has been a major challenge.\n\nObjectives: We aim to develop and implement a data-driven procedure for identifying prevalent chemical combinations to which humans are exposed through purchase and use of consumer products.\n\nMethods: We applied frequent itemset mining on an integrated dataset linking consumer product chemical ingredient data with product purchasing data from sixty thousand households to identify chemical combinations resulting from co-use of consumer products.\n\nResults: We identified co-occurrence patterns of chemicals over all households as well as those specific to demographic groups based on race/ethnicity, income, education, and family composition. We also identified chemicals with the highest potential for aggregate exposure by identifying chemicals occurring in multiple products used by the same household. Lastly, a case study of chemicals active in estrogen and androgen receptor in silico models revealed priority chemical combinations co-targeting receptors involved in important biological signaling pathways.\n\nDiscussion: Integration and comprehensive analysis of household purchasing data and product-chemical information provided a means to assess human near-field exposure and inform selection of chemical combinations for high-throughput screening in in vitro assays. \n\nThis dataset is associated with the following publication:\nStanfield, Z., C. Addington, K. Dionisio, D. Lyons, R. Tornero-Velez, K. Phillips, T. Buckley, and K. Isaacs. Mining of consumer product and purchasing data to identify potential chemical co-exposures..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(6): N/A, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519316",
      "keyword": [
        "ExpoCast",
        "consumer products",
        "chemical exposure",
        "Aggregate exposure",
        "frequent itemset mining (FIM)"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_FIMofNielsenAndCPCat_2020-06-03.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519316/ScienceHub_FIMofNielsenAndCPCat_2020-06-03.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-10",
      "references": [
        "https://doi.org/10.1289/ehp8610"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulations of Dispersion through an Irregular Urban Building Array",
      "description": "The data files consist of tracer concentrations and velocity measurements gathered from EPA's Meteorological Wind Tunnel Laboratory. \n\nThis dataset is associated with the following publication:\nPirhalla, M., D. Heist, S. Perry, W. Tang, and L. Brouwer. Simulations of Dispersion through an Irregular Urban Building Array.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 258: 118500, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1520879",
      "keyword": [
        "urban dispersion",
        "wind tunnel",
        "ELES models",
        "gaussian plume models",
        "emergency response"
      ],
      "contactPoint": {
        "fn": "Michael Pirhalla",
        "hasEmail": "mailto:pirhalla.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "TB65_Src_x0_y0_z10-SDMP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/TB65_Src_x0_y0_z10-SDMP.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tank_WD180_Src_x0_y0_z10-SDMP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/Tank_WD180_Src_x0_y0_z10-SDMP.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pirhalla Data Dictionary for Data Set A-xsk2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/Pirhalla%20Data%20Dictionary%20for%20Data%20Set%20A-xsk2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JRII_Tank_WD180_Vel-SDMP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/JRII_Tank_WD180_Vel-SDMP.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Base_WD180_Src_x0_y0_z75-SDMP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/Base_WD180_Src_x0_y0_z75-SDMP.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Base_WD180_Src_x0_y0_z10-SDMP.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520879/Base_WD180_Src_x0_y0_z10-SDMP.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-16",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118500"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stream water isotope data from the Snake River Basin 2013-2019. ",
      "description": "The dataset includes water isotope values from samples spatially distributed across the Snake River basin collected between 2013-2015, and time series data collected from the Snake River at King Hill.  The timeseries data were collected at the USGS 13154500 gage at approximately monthly intervals from 2013 through water year 2019.   Site descriptions and watershed metrics are also included for the spatially distributed collection sites.  Water Isotope QA data has also been included. \n\nThis dataset is associated with the following publication:\nWindler, G., J.R. Brooks, H.M. Johnson, R. Comeleo, R. Coulombe, and G. Bowen. Climate Impacts on Source Contributions and Evaporation to Flow in the Snake River Basin Using Surface Water Isoscapes (δ2H and δ18O).   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(7): e2020WR029157, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520442",
      "keyword": [
        "water resources",
        "river flow",
        "stable isotopes",
        "water supply",
        "geology",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "Snake Water Isotope Data_Windler et al pub-Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520442/Snake%20Water%20Isotope%20Data_Windler%20et%20al%20pub-Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-02",
      "references": [
        "https://doi.org/10.1029/2020wr029157"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Results from application of Approximate Probabilistic Analysis to incidence of nasal lesions from acrolein exposure",
      "description": "For estimating the distribution of the target human dose for magnitude of effect M and human incidence I (abbreviated “HDMI”) in the Approximate Probabilistic Analysis (APROBA) software tool, using the default assumptions in APROBA (primary analysis) and specific case adjustments (sensitivity analyses): \n1)\tConfidence limits of the HDMI components that were input in APROBA for each analysis, and the confidence limits for the estimated HDMI distributions that were output, along with some supplementary calculations on the outputs. Also included for each analysis are the percents contribution of the HDMI components to HDMI uncertainty. \n2)\tResults of Bayesian model averaging dose-response analysis of incidence of nasal lesions in the lateral wall at level II, used for the sensitivity analysis in which dose-response modeling was used to determine the point of departure. \n3)\tParameters of the HDMI distribution for varying values of human incidence I. \n\nThis dataset is associated with the following publication:\nBlessinger, T., A. Davis, W. Chiu, J. Stanek, G. Woodall, J. Gift, K. Thayer, and D. Bussard. Application of a Unified Probabilistic Framework to the Dose-Response Assessment of Acrolein.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 143: 105953, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1518554",
      "keyword": [
        "Approximate Probabilistic Analysis",
        "reference concentration",
        "dose-response",
        "quantitative uncertainty analysis"
      ],
      "contactPoint": {
        "fn": "Todd Blessinger",
        "hasEmail": "mailto:blessinger.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Analysis results for Acrolein Unified Probabilistic Framework article_508.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518554/Analysis%20results%20for%20Acrolein%20Unified%20Probabilistic%20Framework%20article_508.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-23",
      "references": [
        "https://doi.org/10.1016/j.envint.2020.105953"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518554/documents/Data%20Dictionary%20for%20Acrolein%20Unified%20Probabilistic%20Framework%20article_508.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in Early Life Stages of Zebrafish (Danio rerio)",
      "description": "Our findings identified five structural categories of PFAS prone to metabolism. The metabolism pathways of PFAS are highly related to their structures and significantly impact their bioaccumulations and toxicities. We also verified CES1 as an enzyme capable of hydrolyzing diverse PFAS, with strong substrate preferences towards perfluoroalkyl amides. This dataset is not publicly accessible because: Data generated by external academic lab with chemicals provided by EPA under an MTA. EPA’s contribution was providing the PFAS library. It can be accessed through the following means: Contact the corresponding author Hui Peng, \nMailing address: Department of Chemistry, University of Toronto, Toronto, Ontario, M5S3H6, Canada.\nE-mail address: hui.peng@utoronto.ca. Format: Not available. \n\nThis dataset is associated with the following publication:\nHan, J., W. Gu, H. Barrett, D. Yang, S. Tang, J. Sun, J. Liu, H. Krause, K. Houck, and H. Peng. A Roadmap to the Structure-Related Metabolism Pathways of Per- and Polyfluoroalkyl Substances in the Early Life Stages of Zebrafish (Danio rerio).   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 129(7): 077004, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518708",
      "keyword": [
        "perfluorinated alkyl substances",
        "zebrafish",
        "nontargeted analysis",
        "data-independent acquisition",
        "toxicity",
        "fluorotelomer alcohol"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-31",
      "references": [
        "https://doi.org/10.1289/ehp7169"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Final _ Data supporting article titled AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION  ",
      "description": "Final version _ File (spreadsheet) contains a summary of data presented in the journal article titled AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION. \n\nThis dataset is associated with the following publication:\nSchmidt, M., S. Sarkar, J. Butcher, T. Johnson, and S. Julius. AGRICULTURAL BEST MANAGEMENT PRACTICE SENSITIVITY TO CHANGING AIR TEMPERATURE AND PRECIPITATION.   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 62(4): 1021-1033, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504430",
      "keyword": [
        "crop agriculture",
        "bmp",
        "Performance"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "AgBMP_paper_figure_table_data_SciHUB_June_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504430/AgBMP_paper_figure_table_data_SciHUB_June_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-03",
      "references": [
        "https://doi.org/10.13031/trans.13292"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nicholas 2018_Supporting data for journal article ",
      "description": "This file contains a summary of data presented in the journal article by Nicholas et al., \"Forest riparian buffers can reduce timber harvesting effects on stream temperature under future conditions, but additional climate adaptation strategies are likely needed\", \n\nThis dataset is associated with the following publication:\nNicholas, H., S. Sarkar, J. Butcher, T. Johnson, S. Julius, and S. LeDuc. Forest Riparian Buffers Reduce Timber Harvesting Effects on Stream Temperature, but additional Climate Adaptation Strategies are likely needed under future conditions.   Journal of Water and Climate Change. IWA Publishing, London,  UK,  1-16, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1501688",
      "keyword": [
        "forest",
        "bmp",
        "Performance",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Nicholas_Data_June 18 2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1501688/ScienceHub_Nicholas_Data_June%2018%202018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-03-14",
      "references": [
        "https://doi.org/10.2166/wcc.2020.031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Web-ICE acute toxicity data",
      "description": "Database of acute toxicity data used to develop ICE models. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522922",
      "keyword": [
        "Acute Toxicity",
        "aquatic"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www3.epa.gov/webice/",
          "accessURL": "https://www3.epa.gov/webice/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-07-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Superior zooplankton composition data, from 2016, via morphological ID and via DNA metabarcoding",
      "description": "Dataset contains site x zooplankton taxa data from Lake Superior in 2016.  Different tabs have data from morphological ID and from DNA metabarcoding ID with 4 different genetic markers. \n\nThis dataset is associated with the following publication:\nMeredith, C., J. Hoffman, A. Trebitz, E. Pilgrim, S. Okum, and J. Martinson. Evaluating the performance of DNA metabarcoding for assessment of zooplankton communities in Western Lake Superior using multiple markers.   Metabarcoding and Metagenomics. Pensoft Publishers, Sofia,  BULGARIA, 50: 83-97, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520440",
      "keyword": [
        "zooplankton",
        "Lake Superior",
        "DNA metabarcoding",
        "aquatic surveys"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "ZoopBarcoding2020pub_project_data_csm.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520440/ZoopBarcoding2020pub_project_data_csm.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-30",
      "references": [
        "https://doi.org/10.3897/mbmg.5.64735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exported Chromatograms from the GC/MS analysis of fish and amphibian metabolomes following exposure to six high use pesticides. ",
      "description": "Data collected from the metabolomics analysis (GC/MS) of fish and amphibians following exposure to six high use pesticides.  The objective of the study was to assess the applicability of using surrogate species data in ecological risk assessments.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520617",
      "keyword": [
        "amphibians",
        "metabolomics",
        "pesticides",
        "ecological risk assessment",
        "larval zebrafish"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "HendersonWilliamM_A-bg7t_Dataset_20201221_multiomics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520617/HendersonWilliamM_A-bg7t_Dataset_20201221_multiomics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520617/documents/HendersonWilliamM_A-bg7t_DataDictionary_20201221.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "OC43ManuscriptData_112520",
      "description": "Data describes percent recoveries of human coronavirus surrogate from wastewater. \n\nThis dataset is associated with the following publication:\nMcMinn, B., A. Korajkic, J. Kelleher, M. Herrmann, A. Pemberton, W. Ahmed, E. Villegas, and K. Oshima. Development of a Large Volume Concentration Method for Recovery of Coronavirus from Wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 774: 145727, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520605",
      "keyword": [
        "coronavirus",
        "dead-end hollowfiber",
        "CP select",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "OC43ManuscriptData_112520.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520605/OC43ManuscriptData_112520.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145727"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset_Cyanobacterial_Microbiome",
      "description": "1. Accession numbers of raw RNA sequences, generated using Illumina sequencer,  \n2. water parameters, and 3. derived data worksheet from the raw RNA sequences. \n\nThis dataset is associated with the following publication:\nWang, K., X. Mou, H. Cao, I. Struewing, H. Allen, and J. Lu. Co-occurring microorganisms regulate the succession of cyanobacterial harmful algal blooms.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 288: 117682, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522600",
      "keyword": [
        "Metatranscriptomics",
        "dominance succession",
        "cyanobium",
        "CyanoHABs"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_Cyanobacterial_Microbiome.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522600/Dataset_Cyanobacterial_Microbiome.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-06",
      "references": [
        "https://doi.org/10.1016/j.envpol.2021.117682"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Atmospheric Nitrogen Deposition in the Chesapeake Bay Watershed: A History of Change",
      "description": "USGS generated Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed, 1950-2050. \n\nThis dataset is associated with the following publication:\nBurns, D., G. Bhatt, L. Linker, J. Bash, P. Capel, and G. Shenk. Atmospheric Nitrogen Deposition in the Chesapeake Bay Watershed: A History of Change.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 251(15): 118277, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522672",
      "keyword": [
        "CMAQ",
        "nitrogen deposition",
        "Chesapeake Bay",
        "nitrogen deposition trends"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.usgs.gov/datacatalog/data/USGS:5d692bdde4b0c4f70cf173d7",
          "accessURL": "https://data.usgs.gov/datacatalog/data/USGS:5d692bdde4b0c4f70cf173d7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-11-04",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118277"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wash Down Data Set",
      "description": "These data are of spore removal from an asphalt parking lot using a power washer and garden hose and different wash aids.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522679",
      "keyword": [
        "Bacillus anthracis",
        "Decontamination",
        "pressure washing"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "WashDown Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522679/WashDown%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro intestinal toxicity of commercially available spray disinfectant products advertised to contain colloidal silver  ",
      "description": "Colloidal silver spray product characterization: Total silver, particle size, GI bioavailability, cytotoxicity. \n\nThis dataset is associated with the following publication:\nRogers, K., T.E. Henson, J. Navratilova, M. Surette, M. Hughes, K. Bradham, A.B. Stefaniak, A.K. Knepp, and L. Bowers. In vitro intestinal toxicity of commercially available spray disinfectant products advertised to contain colloidal silver.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 728: 138611, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1510321",
      "keyword": [
        "colloidal silver",
        "cytotoxicity",
        "dietary supplement",
        "surface disinfectant",
        "silver nanoparticle",
        "bioavailability"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for In vitro intestinal toxicity...docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1510321/Data%20for%20In%20vitro%20intestinal%20toxicity...docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.138611"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PM2.5-mortality heterogeneity across the US - determinants related to PM mass sources and components",
      "description": "CBSA level data used to explore PM2.5-mortality heterogeneity across the US - determinants related to PM mass sources and components. \n\nThis dataset is associated with the following publication:\nRappazzo, K., L. Baxter, J. Sacks, B. Alman, G. Peterson, B. Hubbell, and L. Neas. Exploration of PM mass, source, and component-related factors that might explain heterogeneity in daily PM2.5-mortality associations across the United States.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 262: 118650, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520862",
      "keyword": [
        "particulate matter",
        "mortality",
        "heterogeneity"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520862/data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cbsa.PM.msc.data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520862/cbsa.PM.msc.data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-17",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118650",
        "https://pasteur.epa.gov/uploads/10.23719/1520862/documents/PM%20mass%20sources%20and%20coponents%20heterogeneity%20R%20code%20final.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with manuscript \"Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-earth systems model\"",
      "description": "The GCAM-USA model was used to evaluate the incremental national and regional emission impacts of widespread electric vehicle adoption in the US through 2050. This dataset includes the model outputs that were used to develop figures and tables for the related manuscript. \n\nThis dataset is associated with the following publication:\nOu, Y., N. Kittner, S. Babaee, S.J. Smith, C. Nolte, and D. Loughlin. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model.   Applied Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 300: 117364, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519404",
      "keyword": [
        "electrification",
        "long-term planning",
        "state",
        "regional",
        "emissions",
        "air quality",
        "GCAM-USA",
        "integrated assessment modeling"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Ou-EV-200918-TblFig_v3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519404/Ou-EV-200918-TblFig_v3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-18",
      "references": [
        "https://doi.org/10.1016/j.apenergy.2021.117364"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3",
      "description": "This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and land use. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). \n\nThis dataset is associated with the following publication:\nBaynes, J., A. Neale, and T. Hultgren. Improving intelligent dasymetric mapping population density estimates at 30 m resolution for the conterminous United States by excluding uninhabited areas.   Earth System Science Data. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 14(6): 2833-2849, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522948",
      "keyword": [
        "population density",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "Jeremy Baynes",
        "hasEmail": "mailto:baynes.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/EnviroAtlas/InReview/2010_Dasymetric_Population_CONUS_V3.zip",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/EnviroAtlas/InReview/2010_Dasymetric_Population_CONUS_V3.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3 - State Level Error.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522948/EnviroAtlas%20-%202010%20Dasymetric%20Population%20for%20the%20Conterminous%20United%20States%20v3%20-%20State%20Level%20Error.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3 - Representative population densities.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522948/EnviroAtlas%20-%202010%20Dasymetric%20Population%20for%20the%20Conterminous%20United%20States%20v3%20-%20Representative%20population%20densities.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3 - County Level Error.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522948/EnviroAtlas%20-%202010%20Dasymetric%20Population%20for%20the%20Conterminous%20United%20States%20v3%20-%20County%20Level%20Error.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-28",
      "references": [
        "https://doi.org/10.5194/essd-14-2833-2022",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead Service Line Identification Review",
      "description": "This is a literature review paper that did not generate any new data. This dataset is not publicly accessible because: This work did not produce new data. It can be accessed through the following means: Data mentioned in this literature review can be accessed by accessing the original sources of information, as cited within the paper. Format: This paper is a literature review (i.e., no new data generated). Sources of information are appropriately cited. \n\nThis dataset is associated with the following publication:\nHensley, K., V. Bosscher, S. Triantafyllidou, and D. Lytle. Lead Service Line Identification: A Review of Strategies and Approaches.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 3(3): e1226, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520496",
      "keyword": [
        "lead",
        "service line",
        "identification",
        "pipe material",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-19",
      "references": [
        "https://doi.org/10.1002/aws2.1226"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-analysis components for phthalate exposure and neurodevelopment",
      "description": "Results of meta-analysis of studies of phthalate exposures and neurodevelopmental outcomes. Specifically, a meta-analysis was run for each phthalate (DEHP, DBP, DIBP, BBP, DEP) for Bayley Scales of Infant Development subscales (Mental Development Index [MDI] and Psychomotor Development Index [PDI]) for total (combined sexes), and stratified by sex. \n\nThis dataset is associated with the following publication:\nRadke-Farabaugh, E., J. Braun, R. Nachman, and G. Cooper. Phthalate exposure and neurodevelopment: a systematic review and meta-analysis of human epidemiological evidence.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 137: 105408, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1503820",
      "keyword": [
        "Phthalates",
        "neurodevelopment",
        "DEHP",
        "DBP",
        "DINP",
        "DIBP",
        "BBP",
        "DEP",
        "cognition",
        "motor effects",
        "behavior",
        "autism spectrum disorder",
        "attention deficit disorder",
        "systematic review"
      ],
      "contactPoint": {
        "fn": "Elizabeth Radke-Farabaugh",
        "hasEmail": "mailto:radke-farabaugh.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "MA-neurodev-ScienceHub-final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503820/MA-neurodev-ScienceHub-final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-09",
      "references": [
        "https://doi.org/10.1016/j.envint.2019.105408"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Performance evaluation of a dead-end hollowfiber ultrafiltration method for enumeration of somatic and F+ coliphage from recreational waters",
      "description": "Percent recoveries of somatic and F+ coliphage. \n\nThis dataset is associated with the following publication:\nKorajkic, A., B. McMinn, M. Herrmann, A. Pemberton, J. Kelleher, K. Oshima, and E. Villegas. Performance evaluation of a dead-end hollowfiber ultrafiltration method for enumeration of somatic and F+ coliphage from recreational waters.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 296: 114245, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519586",
      "keyword": [
        "coliphage",
        "recreational water",
        "method performance",
        "spike titer"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "SLV_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519586/SLV_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-24",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2021.114245"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT_Results_For_GRIP",
      "description": "model output from SWAT model without calibration and with calibration Gauge station 04159492, 02GG006, and 04213000. \n\nThis dataset is associated with the following publication:\nMai, J., B.A. Tolson, H. Shen, E. Gaborit, V. Fortin, N. Gasset, H. Awoye, T.A. Stadnyk, L.M. Fry, E.A. Bradley, F. Seglenieks, A.G. Temgoua, D.G. Princz, S. Gharari, A. Haghnegahdar, M.E. Elshamy, S. Razavi, M. Gauch, J. Lin, X. Ni, Y. Yuan, M. McLeod, N. Basu, R. Kumar, O. Rakovec, L. Samaniego, S. Attinger, N.K. Shrestha, P. Daggupati, T. Roy, S. Wi, T. Hunter, J.R. Craig, and A. Pietroniro. Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E).   Journal of Hydrologic Engineering. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 26(9): 05021020, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520143",
      "keyword": [
        "hydrologic modeling",
        "model intercomparison",
        "Lake Erie",
        "streamflow"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "SWAT_outputs_Base_NOCalibration.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520143/SWAT_outputs_Base_NOCalibration.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SWAT_Outputs_After_Calibration.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520143/SWAT_Outputs_After_Calibration.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-01",
      "references": [
        "https://doi.org/10.1061/(asce)he.1943-5584.0002097"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PBPK_modeloutputs_readme",
      "description": "Contains values from pbpk models for each study on n-butanol effects. \n\nThis dataset is associated with the following publication:\nSegal, D., A. Bale, L. Phillips, A. Sasso, P. Schlosser, C. Starkey, and S. Makris. Issues in Assessing the Health Risks of n-Butanol.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 40(1): 72-86, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1416339",
      "keyword": [
        "n-butanol",
        "pbpk",
        "DNT",
        "developmental neurotoxicity",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Deborah Segal",
        "hasEmail": "mailto:segal.deborah@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of PBPK_model_outputs_508.ps.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1416339/Copy%20of%20PBPK_model_outputs_508.ps.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PBPK_model_outputs_Readme_508.ps.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1416339/PBPK_model_outputs_Readme_508.ps.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-01-24",
      "references": [
        "https://doi.org/10.1002/jat.3820"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1416339/documents/PBPK_model_outputs_Readme_508.ps.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Properties that influence pond-breeding salamander density and predation in midwestern United States ephemeral wetlands",
      "description": "Ephemeral wetlands provide habitat for a variety of taxa and are often critical breeding locations for amphibians.  Although the impacts of abiotic properties of wetlands on amphibians have been extensively tested, data regarding how biological characteristics of ephemeral wetlands shape amphibian populations is lacking.  Across a series of wetlands, we captured and sampled larval pond-breeding salamanders and aquatic invertebrates, and quantified diet items of salamanders to examine what properties influence densities of larval salamanders, aquatic invertebrates, and properties that drive predation of salamanders on aquatic invertebrates.  We found site-level and landscape-level properties influenced salamander and invertebrate densities.  Our data suggest larval salamanders have a predation bias for and against certain taxa in wetlands.  Salamanders selected against predation of invertebrate predators and selected primarily for the collector-filterer functional group.  Despite these preferences, salamander predation did not have measurable influence on aquatic invertebrate density.  Furthermore, although pond-breeding salamanders can reach high densities in ephemeral wetlands and select for specific prey items, they do not have measurable influence over macroinvertebrate community structure. \n\nThis dataset is associated with the following publication:\nStruecker, B., J. Milanovich, M. McIntosh, M. Berg, and M. Hopton. Selective predation by pond-breeding salamanders in ephemeral wetlands of Ohio and Illinois. . (ed.), JOURNAL OF HERPETOLOGY. Society for the Study of Amphibians & Reptiles, Salt Lake City, UT, USA, 55(3): 222-228, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1378477",
      "keyword": [
        "Ambystoma",
        "Electivity",
        "Functional Group",
        "invertebrate",
        "food web",
        "amphibians",
        "salamanders",
        "stoichiometry",
        "land use",
        "stable isotopes",
        "headwater streams",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "wetland data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1378477/wetland%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-09-04",
      "references": [
        "https://doi.org/10.1670/19-126"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization",
      "description": "This dataset is a project file generated by BMDExpress 2.2 SW  (Sciome, Research Triangle Park, NC). It contains gene expression data for livers of rats exposed to 4 chemicals (crude MCHM, neat MCHM, DMPT, p-toluidine) and kidneys of rats exposed to PPH. The project file includes normalized expression data (GeneChip Rat 230 2.0 Array) using 7 different pre-processing methods (RMA, GCRMA, MAS5.0, MAS5.0_noA calls, PLIER, PLIER16, and PLIER16_noA calls); differentially expressed probe-sets detected by William's method (p<0.05, and minimum fold change of 1.5); probeset-level and pathway-level BMD and BMDL values from transcriptomic dose-response modeling. \n\nThis dataset is associated with the following publication:\nMezencev, R., and S. Auerbach. The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 15(5): e0232955, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1504295",
      "keyword": [
        "toxicogenomics",
        "dose-response modeling",
        "microarray"
      ],
      "contactPoint": {
        "fn": "Roman Mezencev",
        "hasEmail": "mailto:mezencev.roman@epa.gov"
      },
      "distribution": [
        {
          "title": "Mezencev_Auerbach_5_cmpds_7_normalizations_BMDExpress.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504295/Mezencev_Auerbach_5_cmpds_7_normalizations_BMDExpress.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-30",
      "references": [
        "https://doi.org/10.1371/journal.pone.0232955"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504295/documents/Mezencev_Auerbach_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Climate change, riverine flood risk and adaptation for the conterminous United States",
      "description": "Files contain:\n1) expected annual damages summed by HUC10, for baseline climate and future climates of 1C-5C warmer than baseline, and \n2) expected annual damages due to adaptation based on benefit cost ratios of 1, 2, and 4, and net benefits of adaptation under each BCR scenario. Tabs are results for discount rates of 1, 3, and 6 (see text). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523021",
      "keyword": [
        "climate",
        "flooding",
        "Risk",
        "adaptation"
      ],
      "contactPoint": {
        "fn": "Jeremy Martinich",
        "hasEmail": "mailto:martinich.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "natl_adapt_data_all.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523021/natl_adapt_data_all.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "huc10_EAD_outputs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523021/huc10_EAD_outputs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-18",
      "references": [
        "https://dx.doi.org/10.1088/1748-9326/ac1bd7"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata statement for Gustin et al. 2020",
      "description": "This publication is an introductory/summary paper to a virtual special issue of the journal Science of the Total Environment titled: Advances in Mercury Research--Reviews of Recent Advances in Mercury Research and Understanding the Biogeochemical Cycle. \n\nThe special issue contained 11 Research Articles that focused on different aspects of mercury cycling.  All these papers were “review papers” and relied on synthesizing conclusions from existing published research and did not involve any direct data collection.  \n\nThe Gustin et al, 2020 paper (which is associated with this Metadata Statement) provides an introduction to the journal’s special issue and briefly summarizes the primary conclusions from the other 11 papers. Therefore, there are not any datasets associated with this publication. This dataset is not publicly accessible because: This publication is an introductory/summary paper to a virtual special issue of the journal Science of the Total Environment titled: Advances in Mercury Research--Reviews of Recent Advances in Mercury Research and Understanding the Biogeochemical Cycle. \r\n\r\nThe special issue contained 11 Research Articles that focused on different aspects of mercury cycling.  All these papers were “review papers” and relied on synthesizing conclusions from existing published research and did not involve any direct data collection.  \r\n\r\nThe Gustin et al, 2020 paper (which is associated with this Metadata Statement) provides an introduction to the journal’s special issue and briefly summarizes the primary conclusions from the other 11 papers. Therefore, there are not any datasets associated with this publication. It can be accessed through the following means: This paper does not include any data. Format: This paper does not include any data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523024",
      "keyword": [
        "mercury"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [],
      "modified": "2021-08-18",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2020.139619"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Michigan Ozone Study Data Sets",
      "description": "This EPA SH entry contains the link to the public archive for all datasets collected by EPA and collaborators for the Lake Michigan Ozone Study conducted in 2017.   The archive resides at NASA Langley Research Center.   EPA-ORD data sets can be found by clicking on the individual site tabs on the main LMOS archive webpage and EPA-ORD will be listed at the PI.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522894",
      "keyword": [
        "Pandora spectrometer",
        "Ozone",
        "nitrogen dioxide columns",
        "GeoTASO",
        "lake breeze"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/lmos",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/lmos",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-11-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model evaluation of dry deposition of oxygenated volatile organic compounds",
      "description": "This dataset includes a data dictionary, tables of physicochemical characteristics of the oxygenated volatile organic compounds evaluated with the updated dry deposition model and statistical results of the model comparison with observed dry deposition measurements. Data used in manuscript figures describing comparisons of modeled versus measured deposition velocities and resistances are also included. \n\nThis dataset is associated with the following publication:\nWu, Z., L. Zhang, J. Walker, P. Makar, J. Perlinger, and X. Wang. Extension of a gaseous dry deposition algorithm to oxidized volatile organic compounds and hydrogen cyanide for application in chemistry transport models.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 14(8): 5093-5105, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504450",
      "keyword": [
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "Wu et al_oVOC_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504450/Wu%20et%20al_oVOC_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-18",
      "references": [
        "https://doi.org/10.5194/gmd-14-5093-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NaKnowBase-SQL backend-080121",
      "description": "Engineered nanomaterials (generally defined as being 1-100 nm is size) take on unique activities due to their small size, reactivity, and high surface area to mass ratio.  While these properties can be highly desirable for the intended function of the materials and the products produced from them, they may also cause undesirable activity in environmental or biological systems.  EPA program offices, faced with applications for novel engineered nanomaterials, need access to relevant data to help predict potential environmental/biological interactions of nanomaterials based on their physio-chemical properties and the intended uses of novel materials.  We have developed a relational database containing the results from the Office of Research and Development (ORD) regarding the actions of engineered nanomaterials in environmental and biological systems.   The database captures the chemical and physical parameters of the materials tested, the assays in which they were tested, and the measured results.  The database is designed to enable selective searches of nanomaterials based on physical/chemical parameters such as composition, size, coatings, etc, the system in which they were tested, and the quantitative results obtained.  For example, a user would be able to access information on materials of similar composition, size range, reactivity, or other properties measured, and see what results were observed. For example, users can implement observed results for modeling and prediction for similar nanomaterials using quantitative structure activity relationships and other sophisticated modeling approaches. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522951",
      "keyword": [
        "nanomaterial",
        "physical-chemical properties",
        "relational database"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Chesapeake Bay Program Modelling System: Overview and Recommendations for Future Development",
      "description": "This manuscript is an overview of the Chesapeake Bay Modeling system and uses public datasets from Phase 6 of the Chesapeake Bay model (https://www.chesapeakebay.net/what/publications_and_data) and data from previously published manuscripts, detailed within the citations of the manuscript. \n\nThis dataset is associated with the following publication:\nHood, R., G. Shenk, R. Dixon, S. Smith, W. Ball, J. Bash, R. Batiuk, K. Boomer, D. Brady, C. Cerco, P. Claggett, K. de Mutsert, Z. Easton, A. Elmore, M. Friedrichs, L. Harris, T. Ihde, L. Lacher, L. Li, L. Linker, A. Miller, J. Moriarty, G. Noe, G. Onyullo, K. Rose, K. Skalak, R. Tian, T. Veith, L. Wainger, D. Weller, and Y. Zhang. The Chesapeake Bay Program Modelling System: Overview and Recommendations for Future Development.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 465: 109635, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522616",
      "keyword": [
        "Chesapeake Bay",
        "nitrogen",
        "Hypoxia",
        "land use/land cover change",
        "water quality",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data-chesbay.opendata.arcgis.com/",
          "accessURL": "https://data-chesbay.opendata.arcgis.com/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-14",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2021.109635"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "San_Juan_PR_mangrove_cores_2016_AR_DBD_CN_isotopes",
      "description": "Dataset provides mangrove soil accretion rates, dry bulk density, %carbon, %nitrogen, nitrogen, carbon and sulfur stable isotopes from 5 sites in the San Juan Bay Estuary, Puerto Rico.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521124",
      "keyword": [
        "Nitrogen storage",
        "Nitrogen accumulation",
        "Mangrove forest",
        "wastewater",
        "Anthropogenic stressors",
        "Coastal kidney",
        "Urban mangrove",
        "Rapid urbanization"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "PR_Cores2016_AR_DBD_%CN_mean_age_isotopes_NStudy_3-25-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521124/PR_Cores2016_AR_DBD_%25CN_mean_age_isotopes_NStudy_3-25-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5066/P97CAF30",
          "accessURL": "https://doi.org/10.5066/P97CAF30",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencebase.gov/catalog/item/60902e3fd34e93746a710491",
          "accessURL": "https://www.sciencebase.gov/catalog/item/60902e3fd34e93746a710491",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wong et al., 2021 Urinary Mutagenicity Data Set - Diesel Exhaust & Smoky Coal",
      "description": "Urinary biomarkers in subjects from the cross-sectional indoor coal burning study and mutagenicity levels among subjects from the cross-sectional diesel biomarker study. \n\nThis dataset is associated with the following publication:\nWong, J., R. Vermeulen, Y. Dai, W. Hu, K. Martin, S. Warren, H. Liberatore, D. Ren, H. Duan, Y. Niu, J. Xu, W. Fu, K. Meliefste, J. Yang, M. Ye, X. Jia, T. Meng, B. Bassig, D. Hosgood, J. Choi, M. Rahman, Y. Zheng, J. Mumford, D. Silverman, N. Rothman, D. DeMarini, and Q. Lan. Elevated urinary mutagenicity among those exposed to bituminous coal combustion emissions or diesel engine exhaust, July 2021.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA,  0, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520909",
      "keyword": [
        "Complex Mixtures",
        "coal combustion",
        "smoky coal",
        "Diesel Exhaust",
        "Salmonella mutagenicity",
        "urinary genotoxicity biomarkers"
      ],
      "contactPoint": {
        "fn": "Hannah Liberatore",
        "hasEmail": "mailto:liberatore.hannah@epa.gov"
      },
      "distribution": [
        {
          "title": "Wong et al Diesel and Smoky Coal Urinary Mutagenicity Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520909/Wong%20et%20al%20Diesel%20and%20Smoky%20Coal%20Urinary%20Mutagenicity%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-02",
      "references": [
        "https://doi.org/10.1002/em.22455"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stormwater Input File",
      "description": "SWMM 5.0 input file. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data is unable to be accessed outside of the project team due to containing sensitive information. Format: EPA SWMM 5.0 input file. \n\nThis dataset is associated with the following publication:\nShireman, J., K. Ratliff, and A. Mikelonis. Modeling radionuclide transport in urban overland flow: A case study.   Urban Water Journal. Taylor & Francis Group, London,  UK, 18(7): 12, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518926",
      "keyword": [
        "stormwater"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2020-06-23",
      "references": [
        "https://doi.org/10.1080/1573062x.2021.1968007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Metadata for Coral Reef Resilience Assessment for Puerto Rico",
      "description": "Climate change threatens coral reefs through multiple pathways and interactions with local stressors. More resilient reefs have a higher likelihood of returning to a coral-dominated state following disturbance. To advance practical approaches to reef resilience assessments and aid resilience-based management of coral reefs, we conducted a resilience assessment for Puerto Rico’s coral reefs modified from methods used in other U.S. jurisdictions. We calculated relative resilience scores for 103 sites from an existing commonwealth-wide survey using eight resilience indicators and identified which indicators most drove resilience. We found that sites of very different relative resilience were generally highly intermixed, underscoring the importance and necessity of decision making and management at fine scales. In combination with information on levels of two localized stressors (fishing pressure and pollution exposure), we used the resilience indicators to assess which of seven potential management actions could be used at each site to maintain or improve resilience. Fishery management was the management action that applied to the most sites. Furthermore, we combined sites’ resilience scores with ocean warming predictions to assign sites to vulnerability categories. Island-wide or local managers can use the actions and vulnerability information as a starting point for resilience-based management of their reefs. This assessment differs from many previous ones because we tested how much information could be yielded by a “desktop” assessment using freely-available, existing data rather than from a customized, resilience-focused field\nsurvey. The available data still permitted analyses comparable to previous assessments, demonstrating that desktop resilience assessments can substitute for assessments with field components under some circumstances. \n\nThis dataset is associated with the following publication:\nGibbs, D., and J. West. Resilience assessment of Puerto Rico’s coral reefs to inform reef management.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 14(11): e0224360, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523059",
      "keyword": [
        "Climate Resilience",
        "Coral Reef Communities",
        "Puerto Rico",
        "Natural Resource Management",
        "adaptation"
      ],
      "contactPoint": {
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/dagibbs22/Puerto_Rico_Resil_assmnt",
          "accessURL": "https://github.com/dagibbs22/Puerto_Rico_Resil_assmnt",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2 table- resilience_assessment_data_20190413.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523059/S2%20table-%20resilience_assessment_data_20190413.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Raw_NRCMP2014_data_indicators_only_20171129.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523059/Raw_NRCMP2014_data_indicators_only_20171129.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-13",
      "references": [
        "https://doi.org/10.1371/journal.pone.0224360"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for \"Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model\"",
      "description": "The data for this project include fields that are output from the numerous CMAQ simulations used to build the RSM. This dataset is not publicly accessible because: The data is too large to be included on ScienceHub. It can be accessed through the following means: This data can be accessed by contacting the corresponding authors as will be noted by the peer-reviewed journal. Format: This data is generated by OAQPS and colleagues at Tsinghua university in China. The output data are stored and, if requested, provided in the format of NetCDF. It is stored and preserved on the Atmos high performance computing (HPC) system located at the National Computing Center (NCC). \r\n\r\nThe folder location for raw model data and post-processed data is: /asm1/ROMO.\r\nThe input data is located in the folder titled: /work/ROMO\r\n\r\nData will be copied to the backup automatic storage management (ASM) system after completion of the project to make room for working space on Atmos. This backup system is also located at the National Computing Center, fully accessible form EPA computers at all times and backed up daily or more frequently.\r\n\r\nIn order to facilitate transparency, reproducibility, and credibility throughout the project, the model code will be appropriately commented to indicate the algorithmic functioning in a manner suitable for the general computer programmer. CMAQ source code will be stored on Github at www.github.com/USEPA/CMAQ on the branch labeled ‘5.3.2’. All substantive evolution of the model code will be documented by comments within the code, and the date of the change will be recorded in the standard logs created by Git version control.\r\n\r\nProject documentation is available via https://www.epa.gov/scram",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522441",
      "keyword": [
        "air quality",
        "response surface model",
        "particulate matter",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [],
      "modified": "2021-05-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw Data for ScienceHub Version 2. 7-15-2021",
      "description": "The dataset contains the raw data used to produce the data in the following journal article:  Evaluation of a Modified Rapid Viability-Polymerase Chain Reaction Method for Bacillus Spores in Water Matrices. \n\nThis dataset is associated with the following publication:\nBushon, R., A. Brady, C. Kephart, and V. Gallardo. Evaluation of a Modified Rapid Viability-Polymerase Chain Reaction Method for Bacillus  atrophaeus Spores in Water Matrices.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 188: 106293, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1519576",
      "keyword": [
        "water security",
        "sample collection",
        "microbiology",
        "sample processing and analysis",
        "collection Rapid viability polymerase chain reaction"
      ],
      "contactPoint": {
        "fn": "Vicente Gallardo",
        "hasEmail": "mailto:gallardo.vincente@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw Data for ScienceHub 7-15-2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519576/Raw%20Data%20for%20ScienceHub%207-15-2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-07-15",
      "references": [
        "https://doi.org/10.1016/j.mimet.2021.106293"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519576/documents/Data%20Dictionary%207-15-2021.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Comparative stability of assay results of enterococci measured by culture and qPCR over time in bathing beach waters",
      "description": "Beach name, date & time,sampling location & depth, enteroccus qPCR (CCE) & culture (CFU) measurements. \n\nThis dataset is associated with the following publication:\nWymer, L., T. Wade, E. Sams, K. Oshima, and A. Dufour. Comparative stability of assay results of enterococci measured by culture and qPCR over time in bathing beach waters.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 188: 106274, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522950",
      "keyword": [
        "qPCR",
        "CFU",
        "enterococcus",
        "bathing beaches",
        "fecal contamination"
      ],
      "contactPoint": {
        "fn": "Larry Wymer",
        "hasEmail": "mailto:wymer.larry@epa.gov"
      },
      "distribution": [
        {
          "title": "NEEAR Study Micro Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522950/NEEAR%20Study%20Micro%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-10",
      "references": [
        "https://doi.org/10.1016/j.mimet.2021.106274"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrate response to wetlands in UMRB",
      "description": "The dataset includes all the information necessary to re-create Figures 1 through 6 of the manuscript. \n\nThis dataset is associated with the following publication:\nEvenson, G., H. Golden, J. Christensen, C. Lane, A. Rajib, E. DAmico, D. Mahoney, E. White, and Q. Wu. Wetland restoration yields dynamic nitrate responses across the Upper Mississippi river basin.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 3(9): 095002, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521133",
      "keyword": [
        "wetlands",
        "nitrogen",
        "upper Mississippi",
        "restoration",
        "watershed model"
      ],
      "contactPoint": {
        "fn": "Grey Evenson",
        "hasEmail": "mailto:evenson.grey@epa.gov"
      },
      "distribution": [
        {
          "title": "evensonetal_scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521133/evensonetal_scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-18",
      "references": [
        "https://doi.org/10.1088/2515-7620/ac2125"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"How are Divergent Global Emission Trends Influencing Long-range Transported Ozone to North America\"",
      "description": "This dataset contains data used to create the Figures in the manuscript \"How are Divergent Global Emission Trends Influencing Long-range Transported Ozone to North America\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523043",
      "keyword": [
        "long-range transport",
        "background ozone",
        "Hemispheric CMAQ",
        "stratosphere-troposphere exchange"
      ],
      "contactPoint": {
        "fn": "Rohit Mathur",
        "hasEmail": "mailto:mathur.rohit@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure10_IntShippingEmissions_EDGAR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523043/Figure10_IntShippingEmissions_EDGAR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure9b_timeseries_ptile_LRTfrac_NAM_Summer.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523043/Figure9b_timeseries_ptile_LRTfrac_NAM_Summer.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure9a_timeseries_ptile_LRTfrac_NAM_Spring.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523043/Figure9a_timeseries_ptile_LRTfrac_NAM_Spring.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures_1-8_data.tar.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523043/Figures_1-8_data.tar.tar",
          "mediaType": "application/x-tar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_DataFile_Description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523043/README_DataFile_Description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioturbation frequency",
      "description": "Bioturbation frequency. This dataset is not publicly accessible because: data is the property of University of Cincinnati. It can be accessed through the following means: Data are available on EDI, the Environmental Data Initiative (https://environmentaldatainitiative.org/), doi:10.6073/pasta/0b5597e8bf1e8c0b5903fa104149ffb5. Format: data uploaded to https://environmentaldatainitiative.org/. \n\nThis dataset is associated with the following publication:\nBooth, M., M. Urbanic, X. Wang, and J. Beaulieu. Bioturbation frequency alters methane emissions from reservoir sediments.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 789: 148033, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522593",
      "keyword": [
        "reservoir",
        "bubbles",
        "bioturbation",
        "Methane"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-12-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.148033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hunting the eagle killer: A cyanobacterial neurotoxin causes vacuolar myelinopathy",
      "description": "H. verticillata samples collected from numerous watersheds from 2014 to 2020 were screened for the presence of A. hydrillicola. After isolation of A. hydrillicola from environmental samples and adaptation to laboratory conditions, the cyanobacterium was cultivated in BG11 medium with or without the addition of potassium bromide. H. verticillata leaves colonized with A. hydrillicola were analyzed using fluorescence microscopy as well as AP-MALDI-MSI (9-AA as matrix in negative-ionization mode; lateral resolution, 10 μm). Environmental bromide and bromine concentrations in H. verticillata, sediment, and water samples were analyzed by x-ray fluorescence spectroscopy and ion chromatography. The structure of AETX was elucidated by NMR spectroscopy, high-resolution tandem mass spectrometry, infrared spectroscopy, and x-ray crystallography after isolation of the compound using flash chromatography, semipreparative HPLC, and recrystallization. The genome of A. hydrillicola was amplified from single filaments using multiple displacement amplification and then sequenced using the Illumina MiSeq platform. The putative AETX biosynthetic gene cluster was identified by BLASTp searches for bacterial halogenases against the A. hydrillicola genome. The halogenase AetF was heterologously expressed in E. coli and then purified. Biochemical assays to characterize its activity used tryptophans and indoles as substrates. Reaction products were structurally characterized by HPLC-MS and NMR spectroscopy. A. hydrillicola–H. verticillata extract fractions and pure AETX were tested for activity on C. dubia, D. rerio, C. elegans, and G. gallus. Bioassays on D. rerio and G. gallus were performed in accordance with the National Insitutes of Health Guide for the Care and Use of Laboratory Animals and followed protocol A2017 11-007-Y1-A0, which was reviewed, approved, and overseen by the University of Georgia Institutional Animal Care and Use Committee. VM occurrence in treated birds was confirmed by analysis of the white matter of their optic lobe using light microscopy and transmission electron microscopy. Tissues of deceased wild birds were extracted and analyzed for AETX by HPLC-MS. A full description of the materials and methods used in this study is provided in the supplementary materials. Portions of this dataset are inaccessible because: Data belongs to coauthors at Martin-Luther-University Halle-Wittenberg, Halle (Saale), University of Georgia, Czech Academy of Sciences, and Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP), They can be accessed through the following means: NMR and MS raw data are available at Figshare (https://doi.org/10.6084/m9.figshare.6025748.v1). \r\n\r\nX-ray data and models are available at the Cambridge Crystallographic Data Centre under accession no. CCDC-2018827. (https://doi.org/10.5517/ccdc.csd.cc25rrg5)\r\n\r\nThe whole-genome assemblies (Whole Genome Shotgun projects) of two A. hydrillicola strains, CCALA 1050 and Thurmond2011, have been deposited at DDBJ/ENA/GenBank under the accession nos. JAALHA000000000 and JAAKGC000000000, respectively. The versions described in this paper are JAALHA010000000 and JAAKGC010000000. \r\n\r\nThe sequence of the putative AETX biosynthetic gene cluster can be found at DDBJ/ENA/GenBank under the accession no. MT225528. \r\n\r\nAll other data are available in the main text or the supplementary materials of the journal article. Format: data are in several formats, see accessed information for more information. \n\nThis dataset is associated with the following publication:\nBreinlinger, S., T. Phillips, B. Haram, J. Mareš, J. Martínez Yerena, P. Hrouzek, R. Sobotka, W. Henderson, P. Schmieder, S.M. Williams, J.D. Lauderdale, H.D. Wilde, W. Gerrin, A. Kust, J. Washington, C. Wagner, M. Liebeke, H. Enke, T. Niedermeyer, and S. Wilde. Hunting the eagle killer: A cyanobacterial neurotoxin causes vacuolar myelinopathy.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 371(6536): eaax9050, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522869",
      "keyword": [
        "aquatic vegetation",
        "bald eagles",
        "novel epiphytic cyanobacterial",
        "vacuolar myelinopathy"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5517/ccdc.csd.cc25rrg5",
          "accessURL": "https://doi.org/10.5517/ccdc.csd.cc25rrg5",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/JAALHA010000000",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/JAALHA010000000",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://science.sciencemag.org/content/suppl/2021/03/24/371.6536.eaax9050.DC1",
          "accessURL": "https://science.sciencemag.org/content/suppl/2021/03/24/371.6536.eaax9050.DC1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/MT225528",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/MT225528",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.12098304.v1",
          "accessURL": "https://doi.org/10.6084/m9.figshare.12098304.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-09",
      "references": [
        "https://doi.org/10.1126/science.aax9050"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KC-TRAQS data fusion",
      "description": "Data collected during the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS). \n\nThis dataset is associated with the following publication:\nValencia, A., S. Arunachalam, V. Isakov, B. Naess, and M. Serre. Improving emissions inputs via mobile measurements to estimate fine-scale Black Carbon monthly concentrations through geostatistical space-time data fusion.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 793: 148378, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519055",
      "keyword": [
        "near-source",
        "dispersion modeling",
        "rail yard",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1504143",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1504143",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-07-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.148378"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Word document containing all Figures and Characterization",
      "description": "Word Document containing SEM images and XRD patterns. \n\nThis dataset is associated with the following publication:\nChae, S., B. Murugesan, H. Kim, D.K. Duvvuru, T. Lee, Y. Choi, M. Baek, and M. Nadagouda. Advanced Phosphorus Recovery from Municipal Wastewater using Anoxic/Aerobic Membrane Bioreactors and Magnesium Carbonate-Based Pellets.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 1(8): 1657-1664, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520755",
      "keyword": [
        "phosphorus",
        "recovery",
        "magnesium carbonate pellets",
        "municipal wastewater",
        "anoxic/aerobic membrane bioreactors"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information (10282020) .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520755/Supporting%20Information%20%2810282020%29%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XRD.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520755/XRD.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-04",
      "references": [
        "https://doi.org/10.1021/acsestwater.0c00300"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Incidental Formation and transformation of silver nanoparticles during interaction between surfactant-based surface cleaners and silver nano-enabled products",
      "description": "The data set contains the details on the characterization of silver nanoparticles suspension, and investigation of exposure of surface cleaning products to AgNPs (lab-synthesized & colloidal AgNPs in consumer product). In addition, Ag+ (as AgNO3) was used to simulate Ag+ released from solid nano-enabled products. \n\nThis dataset is associated with the following publication:\nRadwan, I.M., P.M. Potter, D.D. Dionysiou, and S.R. Al-Abed. Silver Nanoparticle Interactions with Surfactant-Based Household Surface Cleaners.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 38(6): 481-488, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503516",
      "keyword": [
        "Environmental fate of nanomaterials",
        "silver nanoparticles",
        "surface cleaning agents",
        "Aggregation",
        "surface chemistry",
        "coating agent."
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "AgNPs_cleaning products_raw data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503516/AgNPs_cleaning%20products_raw%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-02-25",
      "references": [
        "https://doi.org/10.1089/ees.2020.0160"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503516/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of polymer additives on gas-phase emissions from 3D printer filaments",
      "description": "The data set contains the details on the thermal degradation that takes place during 3D printing of six commercially-available 3D printer filaments containing either carbon nanotubes or metal particle additives. Volatile organic compound (VOC) emissions are measured and used to develop reaction mechanisms. \n\nThis dataset is associated with the following publication:\nPotter, P.M., S.R. Al-Abed, F. Hasan, and S.M. Lomnicki. Influence of polymer additives on gas-phase emissions from 3D printer filaments.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 279: 138543, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518519",
      "keyword": [
        "3D printing",
        "fused deposition modelling",
        "carbon nanotubes",
        "polymer degradation"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "3D VOC Raw Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518519/3D%20VOC%20Raw%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-25",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2021.130543"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518519/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "CHEMICAL CHARACTERIZATION OF RECYCLED CONSUMER PRODUCTS USING SUSPECT SCREENING ANALYSIS",
      "description": "All data associated with Figures and Tables of manuscript \"CHEMICAL CHARACTERIZATION OF RECYCLED CONSUMER PRODUCTS USING SUSPECT SCREENING ANALYSIS\", Charles Lowe et al., Environmental Science and Technology, 2021.\n\nDatasets are provided in a multisheet Excel file.  The first sheet in the file contains the Data Dictionary for all datasets. \n\nThis dataset is associated with the following publication:\nLowe, C., K. Phillips, K. Favela, A. Yau, J. Wambaugh, J. Sobus, A. Williams, A. Jackson, and K. Isaacs. Chemical Characterization of Recycled Consumer Products Using Suspect Screening Analysis (Environmental Science and Technology).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(16): 11375-11387, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522925",
      "keyword": [
        "recycling",
        "consumer products",
        "human exposure modeling",
        "consumer exposure",
        "ExpoCast",
        "non-targeted analysis",
        "suspect screening"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "Lowe_et_al_Recycling_ScienceHub_AllData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522925/Lowe_et_al_Recycling_ScienceHub_AllData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-26",
      "references": [
        "https://doi.org/10.1021/acs.est.1c01907"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prioritization of chemicals for effects on steroidogenesis using an integrated statistical approach to high-throughput H295R data",
      "description": "HT-H295R data was downloaded using the ToxCast pipeline (tcpl) R package and is publicly available. Multi-concentration level 0 data from invitrodb (version 3.1) were downloaded and converted from g/ml into micromolar concentrations prior to calculation of mMds and data simulation (Supplemental Data 1). \n\nThis dataset is associated with the following publication:\nHaggard, D., W. Setzer, R. Judson, and K. Friedman. Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 109: 104510, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503880",
      "keyword": [
        "Steriodogenesis",
        "endocrine disruption",
        "chemical prioritization",
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental_Haggard_et_al_mahalanobis_prioritization.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503880/Supplemental_Haggard_et_al_mahalanobis_prioritization.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/tcpl/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-21",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2019.104510"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil microbial indicators of soil amendments",
      "description": "soil microbial populations and enzyme assays that show responses of the soil microbial community to soil amendments. This dataset is not publicly accessible because: Link to data is not available now. It can be accessed through the following means: USDA - ARS will have the link to the data at some point. Format: Likely to be an excel file and avialble as a public link in the future. \n\nThis dataset is associated with the following publication:\nDucey, T.F., J.M. Novak, G.C. Sigua, J.A. Ippolito, H.C. Rushmiller, D.W. Watts, K.M. Trippe, K.A. Spokas, K.C. Stone, and M. Johnson. Microbial Response to Designer Biochar and Compost Treatments for Mining Impacted Soils.   Biochar Journal. Ithaka Institute for Carbon Intelligence, Arbaz,  SWITZERLAND, 3: 299-314, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520574",
      "keyword": [
        "biochar",
        "soil",
        "plants",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1007/s42773-021-00093-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Perinatal high-fat diet influences ozone-induced responses on pulmonary oxidant status and the molecular control of mitophagy in female rat offspring",
      "description": "The data belongs to Maastricht University. This dataset is not publicly accessible because: Data does not belong to EPA. It can be accessed through the following means: Please contact the corresponding author for data. Format: non-EPA data. \n\nThis dataset is associated with the following publication:\nRouschop , S., S. Snow , U. Kodavanti, M. Drittij , L. Maas , A. Opperhuizen, F. van Schooten, A. Remels, and R. Godschalk. Perinatal High-Fat Diet Influences Ozone-Induced Responses on Pulmonary Oxidant Status and the Molecular Control of Mitophagy in Female Rat Offspring.   International Journal of Molecular Sciences. MDPI AG, Basel,  SWITZERLAND, 22(14): 7551, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522408",
      "keyword": [
        "High-fat diet",
        "obesity",
        "perinatal",
        "Ozone",
        "pulmonary toxicity",
        "Mitochondria",
        "oxidative stress"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [],
      "modified": "2021-05-11",
      "references": [
        "https://doi.org/10.3390/ijms22147551"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for EPA’s Air QUAlity TimE Series Project (EQUATES) Version 1",
      "description": "The US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2019.  Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data.  We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community.  These datasets include:\n- Emissions inventory files for the CONUS for 2002-2019 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor\n- CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2002-2019\n- CMAQ-ready meteorology files for the 12US1 domain for 2013-2019.  (Fewer years of meteorology data are included due to space constraints.)\n- Matched meteorology model output with surface observations for 2002-2019\n- Daily average CMAQ output for the 12US1 domain for 2002-2019 for 14 pollutants\n- Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2002–2019",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523160",
      "keyword": [
        "CMAQ",
        "deposition",
        "emissions",
        "MOVES",
        "NEI",
        "Ozone",
        "pm2.5",
        "trends",
        "WRF"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://drive.google.com/drive/folders/1G2_LBLy7_n91Ur0ulsLZ9zwGs3luTzn2",
          "accessURL": "https://drive.google.com/drive/folders/1G2_LBLy7_n91Ur0ulsLZ9zwGs3luTzn2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "equates_hcmaq_v532p_bld.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523160/equates_hcmaq_v532p_bld.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523160/documents/EQUATES_Data_Dictionary_20231115_for_ScienceHub.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "High-Throughput Transcriptomics Platform for Screening Environmental Chemicals",
      "description": "We screened 44 chemicals in MCF7 cells in concentration response and generated HTTr data using the TempO-Seq hWTv1 assay. First, we provide an outline of the quality of the HTTr data based on a set of QC metrics we developed for this platform. Second, we evaluate the reproducibility and mechanistic accuracy of the HTTr platform using inter-plate analysis of reference samples and comparison of reference chemical treatment effects with CMAP signatures, respectively. Third, we summarize the concentration-dependent HTTr responses for all 44 chemicals to stratify them in terms of their overall effect on the transcriptome. Fourth, we present a new gene signature based concentration-response analysis that provides potency estimates for perturbation of cellular biology (ie, BPACs). \n\nThis dataset is associated with the following publication:\nHarrill, J., L. Everett, D. Haggard, T. Sheffield, J. Bundy, C. Willis, R. Thomas, I. Shah, and R. Judson. High-Throughput Transcriptomics Platform for Screening Environmental Chemicals.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  181(1): 68-89, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522614",
      "keyword": [
        "transcriptomics",
        "high-throughput screening",
        "computational toxicology",
        "TempO-Seq"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Everett/HTTr_Pilot_FigShare/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/BCTD_Publication_Data/Everett/HTTr_Pilot_FigShare/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-22",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for co-contaminant paper",
      "description": "The objective of this research was to evaluate the performance of five arsenic adsorptive media technology of full-scale drinking water treatment systems in the USEPA Arsenic Demonstration Program (ADP) that were found to simultaneously remove other co-occurring inorganic contaminants. The datasets presented here are the figures included in the referenced journal article. \n\nThis dataset is associated with the following publication:\nSorg, T., A. Chen, L. Wang, and D. Lytle. Removing co-occurring contaminants of arsenic and vanadium with full-scale arsenic adsorptive media systems.   JOURNAL OF WATER SUPPLY: RESEARCH AND TECHNOLOGY - AQUA. IWA Publishing, London,  UK, ( ): 2021148, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1500851",
      "keyword": [
        "drinking water",
        "contaminants in water systems",
        "arsenic"
      ],
      "contactPoint": {
        "fn": "Thomas Sorg",
        "hasEmail": "mailto:sorg.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Test Data - Figures 1-7 (2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500851/Test%20Data%20-%20Figures%201-7%20%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-19",
      "references": [
        "https://doi.org/10.2166/aqua.2021.148"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure data for article \"Acidity and the multiphase chemistry of atmospheric aqueous particles and clouds\"",
      "description": "Noting here that data used to make figures in \"Acidity and the multiphase chemistry of atmospheric aqueous\nparticles and clouds\" article can be found within the paper and associated supplement. This dataset is not publicly accessible because: Figure data are already embedded in the paper tables/supplement by authors external to the EPA. It can be accessed through the following means: The figure data are found within the paper tables and supplemental information (SI) and thus can be accessed by downloading the paper and SI. One may also contact co-authors, V. Faye McNeill (vfm2103@columbia.edu) and/or Hartmut Herrmann (herrmann@tropos.de) for additional information. Format: Data used for the figures are provided in the paper tables and supplement at the following link: https://doi.org/10.5194/acp-2021-58. \n\nThis dataset is associated with the following publication:\nTilgner, A., T. Schaefer, B. Alexander, M. Barth, J. Collett, K. Fahey, A. Nenes, H. Pye, H. Herrmann, and V.F. McNeill. Acidity and the multiphase chemistry of atmospheric aqueous particles and clouds.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 21(17): 13483–13536, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520880",
      "keyword": [
        "aqueous aerosol",
        "acidity",
        "multiphase chemistry",
        "clouds"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2021-01-19",
      "references": [
        "https://doi.org/10.5194/acp-21-13483-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acton Lake Methane_Waldo et al_2020",
      "description": "This dataset summarizes methane emission rates and relationships with biophysical variables. \n\nThis dataset is associated with the following publication:\nWaldo, S., J. Beaulieu, W. Barnett, A. Balz, M. Vanni, T. Williamson, and J. Walker. Temporal trends in methane emissions from a small eutrophic reservoir: the key role of a spring burst.   Biogeosciences. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(19): 5291-5311, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519031",
      "keyword": [
        "eddy covariance",
        "Methane",
        "aquatic biogeochemistry",
        "greenhouse gas emissions"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "ActonCH4_SciHub_20200616.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519031/ActonCH4_SciHub_20200616.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-04",
      "references": [
        "https://doi.org/10.5194/bg-18-5291-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "volatile organic compounds measurements",
      "description": "volatile organic compound concentrations. \n\nThis dataset is associated with the following publication:\nBreen, M., V. Isakov, S. Prince, K. McGuinness, P. Egeghy, B. Stephens, S. Arunachalam, D. Stout, R. Walker, L.M. Alston, A. Rooney, K. Taylor, and T. Buckley. Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds.   Sensors. MDPI AG, Basel,  SWITZERLAND, 21(16): 5659, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523114",
      "keyword": [
        "air quality"
      ],
      "contactPoint": {
        "fn": "Michael Breen",
        "hasEmail": "mailto:breen.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "VOC11.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/VOC11.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VOC07.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/VOC07.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VOC06.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/VOC06.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VOC02.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/VOC02.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VOC01.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/VOC01.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ME_characterization_key.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523114/ME_characterization_key.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-14",
      "references": [
        "https://doi.org/10.3390/s21165659"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full data appendix ",
      "description": "General cognitive ability, often referred to as ‘general intelligence’, comprises a variety of correlated abilities. Childhood general cognitive ability is a well-studied area of research and can be used to predict social outcomes and perceived success. Early life stage (e.g., prenatal, postnatal, toddler) exposures to stressors (i.e., chemical and non-chemical stressors from the total (built, natural, social) environment) can impact the development of childhood cognitive ability. Building from our systematic scoping review (Ruiz et al., 2016), we conducted a meta-analysis to evaluate more than 100 stressors related to cognitive development. Our meta-analysis identified 23 stressors with a significant increase in their likelihood to influence childhood cognitive ability by 10% or more, and 80 stressors were observed to have a statistically significant effect on cognitive ability. Stressors most impactful to cognition during the prenatal period were related to maternal health and the mother’s ability to access information relevant to a healthy pregnancy (e.g., diet, lifestyle). Stressors most impactful to cognition during the early childhood period were dietary nutrients (infancy), quality of social interaction (toddler), and exposure to toxic substances (throughout early childhood). In conducting this analysis, we examined the relative impact of real-world exposures on cognitive development to attempt to understand the inter-relationships between exposures to both chemical and non-chemical stressors and early developmental life stages. Our findings suggest that the stressors observed to be the most influential to childhood cognitive ability are not permanent and can be broadly categorized as activities/behaviors which can be modified to improve childhood cognition. This meta-analysis supports the idea that there are complex relationships between a child’s total environment and early cognitive development. \n\nThis dataset is associated with the following publication:\nNilsen, F., J. Ruiz, and N. Tulve. A Meta-Analysis of Stressors from the Total Environment Associated with Children’s General Cognitive Ability.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 17(15): 5451, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520130",
      "keyword": [
        "children",
        "cognition",
        "development",
        "environmental health",
        "chemical",
        "non-chemical",
        "risk factors"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Appendix w Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520130/Data%20Appendix%20w%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-19",
      "references": [
        "https://doi.org/10.3390/ijerph17155451"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-033372: Biological Thresholds Derived from Common Measures in Rat Studies are Predictive of Liver Tumorigenic Chemicals",
      "description": "Microarray experiments used in the study. \n\nThis dataset is associated with the following publication:\nCorton, J., K. Korunes, J. Abedini, H. El-Masri, J. Brown, K. Friedman, Y. Liu, C. Martini, S. He, and J. Rooney. Thresholds Derived from Common Measures in Rat Studies are Predictive of Liver Tumorigenic Chemicals.   TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA,  48(7): 857-874, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504428",
      "keyword": [
        "toxicogenomics",
        "biomarker",
        "2 year bioassay",
        "transcript profiling",
        "liver cancer"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-9kdk.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504428/Data%20submission%20for%20A-9kdk.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-09",
      "references": [
        "https://doi.org/10.1177/0192623320960412"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of Novel Human Immortalized Thyroid Follicular Epithelial Cell Lines",
      "description": "Biomarker Image Cytometry. The cell-level frequency of NK2 Homeobox 1 (NKX2-1), Keratin 7 (KRT7), and Thyroglobulin (TG) protein staining were quantitatively evaluated by high-content imaging across huThyrEC cell line variants (1-4) in two medium formulations (huThyrEC and h7H) for verification of thyroid follicular epithelial cell enrichment. Data are the % positive expression frequency (mean ± SD) of two replicates. \n\nThis dataset is associated with the following publication:\nHopperstad, K., T. Truschel, T. Wahlicht, W. Stewart, A. Eicher, T. May, and C. Deisenroth. Characterization of Novel Human Immortalized Thyroid Follicular Epithelial Cell Lines.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 7(2): 39-49, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520918",
      "keyword": [
        "thyroid",
        "endocrine toxicology",
        "in vitro toxicology",
        "organotypic culture model",
        "vEmbryo",
        "virtual embryo",
        "virtual tissues",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "AIVT_EPA-InSCREENeX_Tables_All_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520918/AIVT_EPA-InSCREENeX_Tables_All_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-11",
      "references": [
        "https://doi.org/10.1089/aivt.2020.0027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Little Lusk Creek and Sycamore Branch",
      "description": "Aquatic invertebrate taxonomic composition (abundance) and flow intermittency data from Little Lusk Creek and Sycamore Branch. \n\nThis dataset is associated with the following publication:\nCrabot, J., C.P. Mondy, P. Usseglio-Polatera, K. Fritz, P.J. Wood, M.J. Greenwood, M.T. Bogan, E.I. Meyer, and T. Datry. A global perspective on the functional responses of stream communities to flow intermittence.   ECOGRAPHY. Blackwell Publishing, Malden, MA, USA, 44(10): 1511-1523, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520461",
      "keyword": [
        "temporary rivers",
        "global change",
        "fragmentation",
        "biodiversity loss",
        "life-history traits"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Sycamore_Lusk datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520461/Sycamore_Lusk%20datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2011-11-15",
      "references": [
        "https://doi.org/10.1111/ecog.05697"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CONUS_extent",
      "description": "The dataset provided here contains the added pixel quality assurance (QA) flags that help ensure validity of satellite-derived water quality estimates in freshwater lakes and reservoirs. This work builds upon a study by Urquhart et al. [1] where inland lake and waterbody satellite data was processed and flagged for California, Ohio, and Florida. Added pixel QA flags include land-adjacent pixels, unresolvable waterbody pixels, and snow/ice pixels. Any water pixel adjacent to land is flagged to caution potential for mixed land-water pixels and land adjacency effects. A weekly QA flag mask is provided for snow/ice presence over lakes. The unresolvable QA flag mask contains inland waterbodies smaller than 27 hectares and/or with less than three 300m resolvable satellite pixels.\n\nAn updated version of the Shuttle Radar Topography Mission (SRTM) Waterbody Data (SWBD) is provided to fix a land-waterbody mask error identified in Rhode Island and Massachusetts. The Research Environments MEaSUREs SRTM, used in the NASA data pre-processing, includes the Water Body Data Shapefiles (~30m) product. Version 3.0 of the SRTM contains the vectorized coastline masks used by National Geospatial-Intelligence Agency (NGA) in the editing, called the SRTM Waterbody Data, in shapefile and rasterized formats [4]. Version 4.0 of the SRTM presented here fixes the land-waterbody mask error identified in Rhode Island and Massachusetts. Version 4.0 of the SRTM has been adopted into the NASA pre-processing of the MERIS and OLCI satellite datafiles described above. \n\nThis dataset is associated with the following publication:\nUrquhart, E., and B. Schaeffer. Envisat MERIS and Sentinel-3 OLCI satellite lake biophysical water quality flag dataset for the contiguous United States.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 28: 104826, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503160",
      "keyword": [
        "harmful algal bloom",
        "cyanobacteria",
        "lakes",
        "ecology",
        "satellite",
        "remote sensing",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "DIB.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503160/DIB.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-05",
      "references": [
        "https://doi.org/10.1016/j.dib.2019.104826"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503160/documents/SchaefferBlake_A-hdrr_metadata_20170306.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "IN VITRO AND IN VIVO ANDROGEN RECEPTOR DATA SET FROM TOX SCI PAPER GRAY ET AL 2020",
      "description": "Data sets include\n1.\t Excel file with Hershberger assay protocols and data and summaries of in vivo antiandrogen studies\n2.\tFigures of in vitro AR assay results from contract work and in house studies\n3.\tExcel file with in house in vitro AR antagonism data. \n\nThis dataset is associated with the following publication:\nGray, L., J. Furr, C. Lambright, N. Evans, P. Hartig, M. Cardon, V. Wilson, A. Hotchkiss, and J. Conley. Quantification of uncertainties in extrapolating from in vitro androgen receptor (AR) antagonism to in vivo Hershberger Assay endpoints and adverse reproductive development in male rats.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  176(2): 297-311, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520150",
      "keyword": [
        "in vitro in vivo extrapolation",
        "Androgen receptor",
        "antiandrogens",
        "Hershberger assay",
        "in utero effects on male reproductive development",
        "quantitative AOP for Androgen Receptor Antagonistsr"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "DR VS WILSON 2010 SOT POSTER WITH IN VITRO ANDROGEN RECEPTOR DATA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520150/DR%20VS%20WILSON%202010%20SOT%20POSTER%20WITH%20IN%20VITRO%20ANDROGEN%20RECEPTOR%20DATA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AR  phase 1 2  and 3 ED50 and binding ceetox figures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520150/AR%20%20phase%201%202%20%20and%203%20ED50%20and%20binding%20ceetox%20figures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OUR HERSHBERGER STUDIES FOR SCIENCE HUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520150/OUR%20HERSHBERGER%20STUDIES%20FOR%20SCIENCE%20HUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mda kb2 and CV-1 transduction  Antagonists and antagonists data from RTB Team FOR SCIENCE HUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520150/mda%20kb2%20and%20CV-1%20transduction%20%20Antagonists%20and%20antagonists%20data%20from%20RTB%20Team%20FOR%20SCIENCE%20HUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-22",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaa067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFESABP2v01",
      "description": "Data for individual animals used to create the information demonstrated in Table 1 of the manuscript, including PFESA BP2 serum and liver concentrations and serum clinical chemistry values. \n\nThis dataset is associated with the following publication:\nJenkins-Hill, D., M. Strynar, A. Lindstrom, A. Farthing, H. Huang, J. Schmid, J. Lang, and N. Chernoff. Toxicity of Balb-c mice exposed to recently identified 1,1,2,2-tetrafluoro-2-[1,1,1,2,3,3-hexafluoro-3-(1,1,2,2-tetrafluoroethoxy)propan-2-yl]oxyethane-1-sulfonic acid (PFESA-BP2).   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 441(152529): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1503972",
      "keyword": [
        "in vivo",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Neil Chernoff",
        "hasEmail": "mailto:chernoff.neil@epa.gov"
      },
      "distribution": [
        {
          "title": "PFESABP2 SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503972/PFESABP2%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-21",
      "references": [
        "https://doi.org/10.1016/j.tox.2020.152529"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TRACI Spatial Eutrophication Characterization Factors_2020-10",
      "description": "This dataset provides spatially-explicit freshwater and marine eutrophication characterization factors for the TRACI life cycle impact assessment method, as well as the data used to compile the characterization factors. \n\nThis dataset is associated with the following publication:\nHenderson, A.D., B. Niblick, H.E. Golden, and J.C. Bare. Modeling spatially resolved characterization factors for eutrophication potential in life cycle assessment.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 26: 1832-1846, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520443",
      "keyword": [
        "eutrophication potential",
        "nutrients",
        "nitrogen",
        "phosphorus",
        "LCA regionalization",
        "Life cycle assessment (LCA)",
        "life cycle impact assessment",
        "life cycle impact assessment method",
        "normalization"
      ],
      "contactPoint": {
        "fn": "Jane Bare",
        "hasEmail": "mailto:bare.jane@epa.gov"
      },
      "distribution": [
        {
          "title": "TRACI Spatial Eutrophication Characterization Factors_2020-10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520443/TRACI%20Spatial%20Eutrophication%20Characterization%20Factors_2020-10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-01",
      "references": [
        "https://doi.org/10.1007/s11367-021-01956-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AHHS 2 Swiffer vs floor SciHUB 1-20-21",
      "description": "The tab name in the EXCEL file explains the results found on that sheet.  The first tab is the raw data for the EC analyses of the EC samples.  The second tab is the raw data showing the EC and vacuum dust analyses.  The third tab shows the data for Table 1.  The fourth tab shows the data for Table 2 and the last tab shows the data for Figure 1. \n\nThis dataset is associated with the following publication:\nVesper, S., L. Wymer, D. Cox, G. Dewalt, E. Pinzer, W. Friedman, and P.J. Ashley. Comparison of ERMI results for dust collected from homes by an electrostatic cloth and by the standard vacuum method.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 18(9): 423-429, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520883",
      "keyword": [
        "mold",
        "ERMI",
        "electrostatic cloth",
        "Dust"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "AHHS 2 Swiffer vs floor SciHUB 1-20-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520883/AHHS%202%20Swiffer%20vs%20floor%20SciHUB%201-20-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-20",
      "references": [
        "https://doi.org/10.1080/15459624.2021.1946254"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CONUS and Alaska MERIS inland lake water quality",
      "description": "CONUS and Alaska MERIS inland lake water quality. \n\nThis dataset is associated with the following publication:\nSeegers, B.N., P.J. Werdell, R.A. Vandermeulen, W. Salls, R.P. Stumpf, B. Schaeffer, T.J. Owens, S.W. Bailey, J.P. Scott, and K.A. Loftin. Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a.   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 266: 112685, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520957",
      "keyword": [
        "chlorophyll",
        "satellite",
        "water quality",
        "lakes",
        "remote sensing",
        "harmful algal bloom"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.waterqualitydata.us/",
          "accessURL": "https://www.waterqualitydata.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-20",
      "references": [
        "https://doi.org/10.1016/j.rse.2021.112685"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CSS.3.2.2.1 NaKnowBase",
      "description": "Product CSS.3.2.2 includes three inter-related components, the delivery of which completes this product. This product represents updates to the NaKnowBase database, which has been cleared under STICS Public accessibility for NaKnowBase ORD-043098.\n\nThe first component is a tool to automate formatting of ENM data into the standard and universally accepted ISO-TAB Nano format. We have written this code to both WRITE (export) NKB data in ISO-TAB Nano format, as well as READ (input) external data already in the ISO-TAB Nano format for potential inclusion into NKB. The code and corresponding documentation for this tool are made available to the public via the EPA Office of Research and Development at: https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/.\n\t\nThe second component is an application, entitled “OntoSearcher”, that automates ontological term mapping for a given ENM dataset. We have developed this code to read in external partner ENM data, and map those data to ontological terms with reported diagnostics on speed and accuracy. This is the first step in the development of a common \tlanguage for ENMs, aims to minimize necessary human curation time and is critical to EPA efforts to integrate across Federal ENM datasets in a FAIR (Findable, Accessible, Interoperable, Accessible) way. The code and corresponding documentation for this application are made \tavailable to the public via the EPA Office of Research and Development at: https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/.\n\tThe third component is the integration of NaKnowBase ENM data with the EPA Chemistry Dashboard. Currently, we have 373 chemical structure mapped on the Dashboard at https://comptox.epa.gov/dashboard/chemical_lists/NAKNOWBASE. This collaborative, intra-Agency effort between CCTE and CPHEA continues as we update NKB ENMs, establish web-services to update NKB-Dashboard integration with the NKB application, build on our \tEPA standard nomenclature for ENMs (Beach et al.(2021)), and continue our semantic mapping efforts with Federal and International collaborators.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523156",
      "keyword": [
        "new approach methodologies",
        "nanomaterials",
        "relational database",
        "Data Integration",
        "Chemistry Dashboard"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "CSS_3.2.2.1_NKB_IsoTabNano.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523156/CSS_3.2.2.1_NKB_IsoTabNano.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OntoSearcher_Training_Materials.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523156/OntoSearcher_Training_Materials.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523156/documents/NKB%20Data%20Dictionary%20-%20version%201.0.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset from \"Regional Ozone-Temperature Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios\", by Nolte et al.",
      "description": "This file describes the dataset used in the following article: \n\nNolte, C. G., Spero, T. L., Bowden, J. H., Sarofim, M. C., Martinich, J., Mallard, M. S., Fann, N., \"Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios,\" 2020.\n\nMODEL VERSION AND CONFIGURATION\n\nThe Community Multiscale Air Quality (CMAQ) model was used. The model is open source and can be freely downloaded at\nhttp://github.com/USEPA/CMAQ. The specific code version used in this study was based on a pre-release version of CMAQ 5.3, with minor modifications to accommodate the USGS28 land-use scheme used in WRF. The model source code is included in the \"src\" directory.\n\nThe meteorological input data for CMAQ were derived from outputs of the Community Earth System Model (CESM) and the Coupled Model version 3 (CM3) following Representative Concentration Pathway (RCP) 8.5, which represents a relatively high warming scenario.  The CESM and CM3 fields were downscaled to 36-km grid cells over North America using the Weather Research and Forecasting model. The downscaling and air quality modeling procedure are described in the associated manuscript (Nolte et al., submitted manuscript, 2020) and references therein.\n\nCMAQ simulations were conducted using the meteorology downscaled from the two climate models and using two different sets of anthropogenic emissions: the 2011 National Emission Inventory and a 2040 projection developed for analysis of the Heavy Duty Greenhouse Gas Rule. This 2040 projection represents significant reductions relative to present-day of pollutant emissions, including nitrogen oxides (NOx), sulfur dioxide, and volatile organic compounds (VOCs). See U.S. EPA (2016) for further information on the anthropogenic emissions. Climate-sensitive VOCs emitted from vegetation, e.g., isoprene, were modeled within CMAQ using the downscaled meteorological projections from WRF. \n\nCMAQ was used to simulate air pollutant concentrations over the continental United States using grid cells with 36km x 36km horizontal spacing, with the height of the lowest model layer around 38 m. Further details on the model configuration and input data are described in the manuscript.\n\nFigures used in this paper were prepared using version 3.6.1 of the R programming language. R is open source, and can be downloaded at www.r-project.org. The R scripts are labeled according to their figure number, and reference all data needed to generate the figures, which are located in the \"figs\" folder. \n\nThis dataset is associated with the following publication:\nNolte, C., T. Spero, J. Bowden, M. Sarofim, J. Martinich, and M. Mallard. Regional Temperature-Ozone Relationships Across the U.S. Under Multiple Climate and Emissions Scenarios.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(10): 1251-1264, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519353",
      "keyword": [
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519353/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nolte-O3-temperature.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519353/Nolte-O3-temperature.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-13",
      "references": [
        "https://doi.org/10.1080/10962247.2021.1970048"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ZIP3-Level Daily and Hourly Average Population-Weighted PM2.5 and Daily Maximum Smoke Density, Contiguous and Western US, 2017-2018",
      "description": "The ZIP3-level PM2.5 and smoke density exposure estimates used in the manuscript: \"The Effects of Short-Term Wildfire Smoke and PM2.5 Exposure on Cognitive Performance in US Adults.\" \n\nDatasets include:\n(1) ZIP3-level daily and hourly average population-weighted PM2.5 estimates\n(2) ZIP3-level daily maximum smoke density\n\nThe PM2.5 datasets are available for the contiguous US for January 1, 2017 to December 31, 2018 (877 ZIP3s with 730 daily and 17,520 hourly estimates each). The smoke density dataset is available for the western US (OR, CA, WA, ID, NV, MT) for January 1, 2017 to December 31, 2018 (105 ZIP3s with 730 daily values each).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523337",
      "keyword": [
        "fine particulate matter (PM2.5)",
        "pm2.5",
        "Wildfire smoke",
        "wildland fire smoke",
        "smoke",
        "ZIP codes",
        "air pollution exposure",
        "contiguous United States",
        "western united states",
        "daily exposure",
        "hourly exposure",
        "epidemiologic study"
      ],
      "contactPoint": {
        "fn": "Stephanie Cleland",
        "hasEmail": "mailto:cleland.stephanie@epa.gov"
      },
      "distribution": [
        {
          "title": "ZIP3_Hourly_PopWPM25_ContiguousUS_2017-18.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523337/ZIP3_Hourly_PopWPM25_ContiguousUS_2017-18.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ZIP3_Daily_PopWPM25_ContiguousUS_2017-18.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523337/ZIP3_Daily_PopWPM25_ContiguousUS_2017-18.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ZIP3_Daily_MaxSmokeDensity_WesternUS_2017-18.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523337/ZIP3_Daily_MaxSmokeDensity_WesternUS_2017-18.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523337/documents/Guide_ZIP3_PM25_Smoke_Estimates.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset - Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio",
      "description": "EPA Positive Matrix Factorization (PMF) source profile results for fine and coarse particulate matter.  Inorganic fine and coarse particulate matter concentration data used in PMF models. \n\nThis dataset is associated with the following publication:\nKhatri, S.B., C. Newman, J.P. Hammel, T. Dey, J.J. Van Laere, K.A. Ross, T. Anderson, S. Mukerjee, L. Smith, M. Landis, A. Holstein, and G. Norris. Associations of Air Pollution and Pediatric Asthma in Cleveland, Ohio.   The Scientific World Journal. Hindawi Publishing Corporation, New York, NY, USA, 2021: 8881390, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523358",
      "keyword": [
        "Childhood asthma",
        "air pollution",
        "cleveland",
        "steel",
        "emergency department"
      ],
      "contactPoint": {
        "fn": "Gary Norris",
        "hasEmail": "mailto:norris.gary@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAPS_Coarse_PM_SciHub.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523358/CMAPS_Coarse_PM_SciHub.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAPS_Fine_PM_SciHub.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523358/CMAPS_Fine_PM_SciHub.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA PMF Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523358/EPA%20PMF%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-11",
      "references": [
        "https://doi.org/10.1155/2021/8881390"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Response of Chlorophyll a to Total Nitrogen and Total Phosphorus - RepOrting standards for Systematic Evidence Syntheses in environmental research (ROSES) for Systematic Review Reports 12 March 2021",
      "description": "Additional files associated with the published article in Environmental Evidence. The ROSES form is a checklist of details that should be reported in systematic review documentation. They ensure that all necessary content required by the Collaboration for Environmental Evidence (CEE) Guidelines for Systematic Reviews in Environmental Management is present and described in detail. More information is available at: https://www.roses-reporting.com/. \n\nThis dataset is associated with the following publication:\nBennett, M., S. Lee, K. Schofield, C. Ridley, B. Washington, and D. Gibbs. Response of chlorophyll a to total nitrogen and total phosphorus concentrations in lotic ecosystems: a systematic review.   Environmental Evidence. BioMed Central Ltd, London,  UK, 10: 23, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521153",
      "keyword": [
        "ROSES",
        "nutrients",
        "rivers and streams",
        "Chlorophyll-a",
        "systematic review",
        "eutrophication",
        "stream water quality"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "Additional file 13 R markdown file meta analysis.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2013%20R%20markdown%20file%20meta%20analysis.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 12 Forest plots experimental studies.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2012%20Forest%20plots%20experimental%20studies.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 11 Summary statistics modifying factors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2011%20Summary%20statistics%20modifying%20factors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 10 Meta analysis checklist.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2010%20Meta%20analysis%20checklist.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 09 Final list of included articles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2009%20Final%20list%20of%20included%20articles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 08 Final extracted dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2008%20Final%20extracted%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 07 Study validity for experimental studies.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2007%20Study%20validity%20for%20experimental%20studies.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 06 Guide to data extraction spreadsheet - data dictionary for AF8.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2006%20Guide%20to%20data%20extraction%20spreadsheet%20-%20data%20dictionary%20for%20AF8.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 05 Articles not included.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2005%20Articles%20not%20included.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 04 Other citation requests and test set.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2004%20Other%20citation%20requests%20and%20test%20set.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 03 Website searches.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2003%20Website%20searches.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 02 Search strings bibliographic databases used.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2002%20Search%20strings%20bibliographic%20databases%20used.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional file 01 ROSES.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/Additional%20file%2001%20ROSES.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-12",
      "references": [
        "https://doi.org/10.1186/s13750-021-00238-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1521153/documents/ROSES%20for%20Systematic%20Review%20Reports.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Electrostatic sprayer for disinfectant application parameter evaluation",
      "description": "There are 3 MS Excel files with data from the droplet size distribution tests; these files have \"droplet size distribution\" in the file name.  There are 2 MS Excel files with the data from the wetness tests.  There are 11 zip files of photos of the deposition test results. \n\nThis dataset is associated with the following publication:\nWood, J., M. Magnuson, A. Touati, J. Gilberry, J. Sawyer, T. Chamberlain, S. McDonald, and D. Hook. Evaluation of electrostatic sprayers and foggers for the application of disinfectants in the era of SARS-CoV-2  Journal.  Song Liu, University of Manitoba, CANADA  PLOS ONE. Public Library of Science, San Francisco, CA, USA,  19, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522575",
      "keyword": [
        "electrostatic sprayer",
        "disinfectant",
        "SARS-CoV-2",
        "fogger",
        "parameter evaluation"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Wetness Test Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Wetness%20Test%20Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wetness Test Data addl analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Wetness%20Test%20Data%20addl%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Droplet size distribution Clorox360 DI Tap Puretabs Ecolab.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Droplet%20size%20distribution%20Clorox360%20DI%20Tap%20Puretabs%20Ecolab.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Droplet size distribution TapWater.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Droplet%20size%20distribution%20TapWater.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Droplet size distrubution data using DI water with data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Droplet%20size%20distrubution%20data%20using%20DI%20water%20with%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "px300es backpack red nozzle trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/px300es%20backpack%20red%20nozzle%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "px300ES backpack green nozzle trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/px300ES%20backpack%20green%20nozzle%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "px200 ess on trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/px200%20ess%20on%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "px200 ess off trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/px200%20ess%20off%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "iphisius trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/iphisius%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "clorox 360 trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/clorox%20360%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "clorox 360 on lamp deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/clorox%20360%20on%20lamp%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "clorox 360 ladder deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/clorox%20360%20ladder%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "clorox 360 chair deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/clorox%20360%20chair%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "blanks pre spray trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/blanks%20pre%20spray%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Airofog trash can deposition photos.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/Airofog%20trash%20can%20deposition%20photos.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-30",
      "references": [
        "https://doi.org/10.1371/journal.pone.0257434"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522575/documents/data%20dictionary%20electrostatic%20sprayers.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Practical Implications of Perfluoroalkyl Substances Adsorption on Bottle Materials: Isotherms and Sub-Sampling (V1)",
      "description": "The dataset includes the data used to generate figures in the manuscript and SI. \n\nThis dataset is associated with the following publication:\nKleiner, E., T. Sanan, S. Smith, J. Pressman, G. Abulikemu, B. Crone, and D. Wahman. Practical Implications of Perfluoroalkyl Substances Adsorption on Bottle Materials: Isotherms.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 3(5): e1243, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520974",
      "keyword": [
        "PFAS",
        "granular activated carbon",
        "anion exchange"
      ],
      "contactPoint": {
        "fn": "Jonathan Pressman",
        "hasEmail": "mailto:pressman.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub Data Submission V3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520974/ScienceHub%20Data%20Submission%20V3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-12",
      "references": [
        "https://doi.org/10.1002/aws2.1243"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Physical habitat, landscape data, and water chemistry in the Karun River Basin",
      "description": "Physical habitat, landscape data, and water chemistry in the Karun River Basin. This dataset is not publicly accessible because: Data is the property of Isfahan University of Technology, Iran. It can be accessed through the following means: Contact Isfahan University of Technology, Iran. Format: Physical habitat, landscape data, and water chemistry. \n\nThis dataset is associated with the following publication:\nZare Shahraki, M., E. Ebrahimi Dorche, P. Fathi, J. Flotemersch, K. Blocksom, J. Stribling, Y. Kaivany, O. Beyraghdar Kashkooli, M. Scown, and A. Bruder. Defining a disturbance gradient in a Middle-Eastern River Basin.   Limnologica. Elsevier B.V., Amsterdam,  NETHERLANDS, 91: 125923, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521144",
      "keyword": [
        "least-distrubed condition",
        "bioassessment",
        "rivers",
        "physico-chemical",
        "EPT"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [],
      "modified": "2020-10-01",
      "references": [
        "https://doi.org/10.1016/j.limno.2021.125923"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Opportunistic pathogens and drinking water parameters",
      "description": "They are qPCR data for opportunistic pathogens and drinking water parameters. \n\nThis dataset is associated with the following publication:\nZhang, C., I. Struewing, J. Mistry, D. Wahman, J. Pressman, and J. Lu. Legionella and other opportunistic pathogens in full-scale chloraminated municipal drinking water distribution systems.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117571, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522591",
      "keyword": [
        "qPCR",
        "water parameter",
        "chloramine",
        "Chlorine"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "All Data for EPA ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522591/All%20Data%20for%20EPA%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-27",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.117571"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fentanyl recoveries (in microgram) following decontamination with various decontaminants. Data is in support of Figures 2-7 of the article",
      "description": "Recovered fentanyl amounts from all materials included in the fentanyl decontamination tests (multiple different decontaminants). Datasets include recoveries from test coupons (contaminated and decontaminated) as well as positive controls (contaminated but not decontaminated). \n\nThis dataset is associated with the following publication:\nOudejans, L., D. See, C. Dodds, M. Corlew, and M. Magnuson. Decontamination Options for Indoor Surfaces Contaminated with Realistic Fentanyl Preparations.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 297(113327): 10, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1519327",
      "keyword": [
        "fentanyl",
        "Indoor outdoor decontamination",
        "opioids"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "MetaData Fentanyl Decon Oudejans et al.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519327/MetaData%20Fentanyl%20Decon%20Oudejans%20et%20al.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-03",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2021.113327"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BSEE Linear Boom In Situ Oil Burn Data ",
      "description": "The efficiency of simulated at-sea surface oil burns (in situ burns, ISB) was determined while testing varied boom configurations and air-assist nozzles to improve combustion. Tests were conducted in a 14.3 m x 2.4 m x 2.4 m tank under both calm and wave-action conditions. Emissions and residual uncombusted oil were sampled to characterize the effect of variations in boom length/width ratios, injection air, and presence or absence of waves. Tests were done with 30 L of Alaska North Slope oil within an outdoor, above ground, fresh water, 63 m3 tank equipped with wave actuators and baffles. The combustion plume was sampled for emissions using a crane-suspended instrument system. Combustion efficiencies based on unburned carbon in the plume emissions ranged from 85% to 93%. Efficiencies based on oil mass loss ranged from 89% to 99% but were not predicted by changes in boom ratio, air injection, or the presence of waves. A four-fold variation in PM2.5 emission factors was observed from the test conditions and the most effective burns in terms of reduced emissions were those that had high length to width boom ratios resulting in higher flame front surface area exposure to ambient air. The presence of added injection air near the oil/water/flame interface had no statistical effect on the combustion efficiency, suggesting that added oxygen and air-induced turbulence at the oil/flame interface was not limiting the combustion rate. The presence of waves had a limited detrimental effect on combustion emissions, possibly caused by enhancing heat loss from the burning oil to the water below. Post-burn, residual oil samples were collected and analyzed to show that the total petroleum hydrocarbon (TPH) concentration in the residuals decreased as the oil mass loss increased. The amount of oil mass lost was not related to any combustion efficiency parameters or pollutant levels. However, TPH in residues were significantly lower at higher boom ratios in the control and air plus waves tests. \n\nThis dataset is associated with the following publication:\nAurell, J., A. Holder, B. Gullett, N. Lamie, K. Arsava, R. Conmy, D. Sundaravadivelu, B. Mitchell, and K. Stone. Analysis of emissions and residue from methods to improve efficiency of at-sea, in situ oil spill burns.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 173(Part A): 113016, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522582",
      "keyword": [
        "pollution",
        "sampling",
        "oil spill",
        "burning",
        "combustion efficiency"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Data Dictionary BSEE Linear boom paper 06 04 2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522582/Science%20Hub%20Data%20Dictionary%20BSEE%20Linear%20boom%20paper%2006%2004%202021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-04",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2021.113016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Changing Face of Floodplains in the Mississippi River Basin Detected by a 60-year Land Use Change Dataset",
      "description": "The MRB floodplain land use change dataset is made available through an open-access geospatial data sharing platform HydroShare. Our archive also includes all corresponding input data, intermediate calculations, and supporting information. Table 2 below provides an overview of the file contents. The entire archive can be downloaded as a single zip file from this weblink: https://www.hydroshare.org/resource/41a3a9a9d8e54cc68f131b9a9c6c8c54/. \n\nThis dataset is associated with the following publication:\nRajib, A., Q. Zheng, H. Golden, Q. Wu, C. Lane, J. Christensen, R. Morrison, A. Annis, and F. Nardi. The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset.   Scientific Data. Springer Nature Group, New York, NY,  8: 271, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520867",
      "keyword": [
        "land use change",
        "floodplains",
        "Mississippi River Basin",
        "nutrients",
        "floods"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.hydroshare.org/resource/41a3a9a9d8e54cc68f131b9a9c6c8c54/",
          "accessURL": "https://www.hydroshare.org/resource/41a3a9a9d8e54cc68f131b9a9c6c8c54/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-02-10",
      "references": [
        "https://doi.org/10.1038/s41597-021-01048-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-Dataset for property values and water quality",
      "description": "We conduct a comprehensive literature review and meta-analysis of studies that examine the effects of water quality on waterfront and non-waterfront housing values. We identify 36 studies that yield 665 observations. The rows of the dataset include each observation from the hedonic studies and the columns include the variables we created from each study (e.g., year of publication, type of publication, water quality measure, location, waterbody type, elasticities).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518489",
      "keyword": [
        "economics",
        "water quality",
        "hedonic analysis",
        "travel cost model",
        "benefits",
        "benefit transfer",
        "ecosystem services",
        "revealed preference"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata_Dictionary_for_Meta-dataset_for_property_values_and_water_quality.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518489/Metadata_Dictionary_for_Meta-dataset_for_property_values_and_water_quality.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Meta-dataset_for_property_values_and_water_quality.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518489/Meta-dataset_for_property_values_and_water_quality.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes",
      "description": "This repository contains the necessary data, python source code and jupyter notebooks to reproduce the results from our manuscript, \"Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes.\" Using in vitro data to estimate point of departure (POD) values is an important component of new approach method (NAM)-based chemical risk assessments. In this case study we evaluated a NAM for hepatotoxicity based on rat primary hepatocytes, high-content imaging (HCI) and in vitro to in vivo extrapolation (IVIVE). \n\nThis dataset is associated with the following publication:\nShah, I., T. Antonijevic, B. Chambers, J. Harrill, and R. Thomas. Estimating Hepatotoxic Doses Using High-content Imaging in Primary Hepatocytes.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  183(2): 285-301, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520925",
      "keyword": [
        "hepatotoxicity",
        "high-content imaging",
        "new approach methodologies",
        "repeat dose toxicity",
        "point of departure",
        "pbtk",
        "virtual embryo",
        "virtual tissues",
        "virtual liver",
        "tipping points"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/i-shah/heprn-hci-nam",
          "accessURL": "https://github.com/i-shah/heprn-hci-nam",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab091"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ATP BINDING CASSETTE SUB-FAMILY MEMBER 2 (ABCG2) AND XENOBIOTIC EXPOSURE DURING EARLY MOUSE EMBRYONIC STEM CELL DIFFERENTIATION",
      "description": "ATP binding cassette sub-family member 2 (ABCG2) is a well-defined efflux transporter found in various tissues.  The role of ABCG2 during early embryonic development, however, is not established.  Previous work suggested an association exists between xenobiotics that regulate Abcg2 transcription and differentiation of mouse embryonic stem cells (mESC), a relationship potentially related to redox homeostasis.  ABCG2 was found to serve protective role in mESC as a xenobiotic transporter. The role of ABCG2 in regulating redox status, however, was unclear. The hypothesis that ABCG2 plays a fundamental role during mESC differentiation or that regulation of the receptor by xenobiotics may be associated with altered mESC differentiation could not be supported. \n\nThis dataset is associated with the following publication:\nRosen, M., S. Jeffay, H. Nichols, M. Hoopes, and S. Hunter. ATP Binding Cassette Sub-Family Member 2 (ABCG2) And Xenobiotic Exposure During Early Mouse Embryonic Stem Cell Differentiation.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 110(1): 35-47, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1377399",
      "keyword": [
        "mouse embryonic stem cell",
        "ABCG2",
        "differentiation",
        "xenobiotics",
        "redox stress",
        "ToxCast"
      ],
      "contactPoint": {
        "fn": "Edward Hunter",
        "hasEmail": "mailto:hunter.sid@epa.gov"
      },
      "distribution": [
        {
          "title": "manuscript figure 1.marker genes across days.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%201.marker%20genes%20across%20days.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 2.inhibitor exposure and normalized PhA FL on day 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%202.inhibitor%20exposure%20and%20normalized%20PhA%20FL%20on%20day%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 3a.RedDot1 fluorescence on culture day 4 in mESC treated with topoisomerase inhibitors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%203a.RedDot1%20fluorescence%20on%20culture%20day%204%20in%20mESC%20treated%20with%20topoisomerase%20inhibitors.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 3b. Fold change in mESC on culture day 4 treated with topoisomerase inhibitors.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%203b.%20Fold%20change%20in%20mESC%20on%20culture%20day%204%20treated%20with%20topoisomerase%20inhibitors.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 4a.PhA FL Day1 v Day4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%204a.PhA%20FL%20Day1%20v%20Day4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 4b.Wes-simple western ABCG2 prot expression two reps.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%204b.Wes-simple%20western%20ABCG2%20prot%20expression%20two%20reps.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 5a b.cell number and gene expression on culture day 4 n K0143 treated mESC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%205a%20b.cell%20number%20and%20gene%20expression%20on%20culture%20day%204%20n%20K0143%20treated%20mESC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "manuscript figure 6a.RedDot1 FL in ToxCast treated mESC on culture day9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1377399/manuscript%20figure%206a.RedDot1%20FL%20in%20ToxCast%20treated%20mESC%20on%20culture%20day9.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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          "title": "https://github.com/USEPA/TELSS",
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    {
      "title": "Results from Non-Targeted Analysis of 6:2 FTS degradation samples",
      "description": "NTA output of 6:2 FTS microbial cultures Chu TAMU. \n\nThis dataset is associated with the following publication:\nYang, S., Y. Shi, M. Strynar, and K. Chu. Desulfonation and defluorination of 6:2 fluorotelomer sulfonic acid (6:2 FTSA) by Rhodococcus jostii RHA1: Carbon and sulfur sources, enzymes, and pathways.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 423(Part A): 127052, (2022).",
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        "fn": "Mark Strynar",
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      },
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    {
      "title": "Raw data for understanding microbial loads in wastewater treatment works as source water for water reuse",
      "description": "This dataset includes all the raw data of various microorganisms in wastewater influent and effluent samples from three participating reclaimed water plants. Additionally, box plots used for the peer-reviewed journal article were presented. \n\nThis dataset is associated with the following publication:\nRyu, H., Y. Addor, N. Brinkman, M. Ware, L. Boczek, J. Hoelle-Schwalbach, J. Mistry, S. Keely, and E. Villegas. Understanding microbial loads in wastewater treatment works as source water for water reuse..   WATER. MDPI AG, Basel,  SWITZERLAND, 13(11): 1452, (2021).",
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      "contactPoint": {
        "fn": "Hodon Ryu",
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      "distribution": [
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          "title": "DPR samples spreadsheet, all records.xlsx",
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      "title": "Additional Heat Mortality by County: 2085-2095",
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    {
      "title": "Coral Reef Final Ecosystem Goods and Services translated into biophysical metrics",
      "description": "Translation of final ecosystem goods and services for coral reefs to identify biophysical metrics relevant to people and their well-being. \n\nThis dataset is associated with the following publication:\nSantavy, D., C. Horstmann, L. Sharpe, S. Yee, and P. Ringold. What is it about coral reefs? Translation of ecosystem goods and services relevant to people and their well-being.   Ecosphere. ESA Journals,    12(8): e03639, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1506080",
      "keyword": [
        "final ecosystem goods and services (FEGS)",
        "Coral reefs: Beneficiaries",
        "translation EGS metrics",
        "biophysical metrics",
        "human benefits"
      ],
      "contactPoint": {
        "fn": "Deborah Santavy",
        "hasEmail": "mailto:santavy.debbie@epa.gov"
      },
      "distribution": [
        {
          "title": "Santavy_A-rfjz_20191127 Fig 3 meta & data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506080/Santavy_A-rfjz_20191127%20Fig%203%20meta%20%26%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Santavy_A-rfjz_20191127 tables data info.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506080/Santavy_A-rfjz_20191127%20tables%20data%20info.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Santavy_A-rfjz_data MS tables_20191127.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506080/Santavy_A-rfjz_data%20MS%20tables_20191127.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-22",
      "references": [
        "https://doi.org/10.1002/ecs2.3639"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating publicly available information to screen candidates for chemical prioritization under the Reauthorized Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity",
      "description": "Integrating publicly available information to screen candidates for chemical prioritization under the Reauthorized Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523100",
      "keyword": [
        "Environmental Justice",
        "climate change",
        "qsar",
        "genotoxicity",
        "ToxValDB",
        "TSCA"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-tsca/",
          "accessURL": "https://gaftp.epa.gov/COMPTOX/CCTE_Publication_Data/CCED_Publication_Data/PatlewiczGrace/CompTox-tsca/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "3D Printer Emissions Base Data for 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children 060619-061019",
      "description": "This dataset contains the raw data output from measurements of 3D printer emissions using both ABS and PLA feedstocks. \n\nThis dataset is associated with the following publication:\nByrley, P., W. Boyes, K. Rogers, and A. Jarabek. 3D Printer Particle Emissions: Translation to Internal Dose in Adults and Children..   JOURNAL OF AEROSOL SCIENCE. Elsevier Science Ltd, New York, NY, USA, 154: 105765, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523338",
      "keyword": [
        "3D Printer",
        "ultrafine particle emissions"
      ],
      "contactPoint": {
        "fn": "Peter Byrley",
        "hasEmail": "mailto:byrley.peter@epa.gov"
      },
      "distribution": [
        {
          "title": "061019_PLA_3DPrinter_Number_Measurement.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/061019_PLA_3DPrinter_Number_Measurement.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "061019_PLA_3DPrinter_SurfaceArea_Measurement.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/061019_PLA_3DPrinter_SurfaceArea_Measurement.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "061019_PLA_3DPrinter_Mass_Measurement.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/061019_PLA_3DPrinter_Mass_Measurement.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "060619_ABS_3DPrinter_SurfaceArea_Measurement.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/060619_ABS_3DPrinter_SurfaceArea_Measurement.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "060619_ABS_3DPrinter_Number_Measurement.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/060619_ABS_3DPrinter_Number_Measurement.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "060619_ABS_3DPrinter_Mass_Measurement.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/060619_ABS_3DPrinter_Mass_Measurement.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3DPrinter_MPPD_MetaData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523338/3DPrinter_MPPD_MetaData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-10",
      "references": [
        "https://doi.org/10.1016/j.jaerosci.2021.105765"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fire regimes of the conterminous United States",
      "description": "Fire regime information on 256 vegetation communities in the conterminous United States. This information is taken from the US Forest Service's LANDFIRE Rapid Assessment Vegetation Models, which were developed by local experts using available literature, local data, and/or expert opinion. This table summarizes fire regime characteristics for each plant community listed. \n\nThis dataset is associated with the following publication:\nJager, H.I., J.W.  Long, R. Malison, B.P. Murphy, A. Rust, L.G.M. Silva, R. Sollmann, Z.L. Steel, M.D. Bowen, J. Dunham, J. Ebersole, and R. Flitcroft. Resilience of Terrestrial and Aquatic Fauna to Historical and Future Wildfire Regimes in Western North American Forests.   Ecology and Evolution. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 11(18): 12259-12284, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519025",
      "keyword": [
        "wildfire",
        "vegetation",
        "water quality",
        "refugia",
        "recovery",
        "resilience"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.fs.usda.gov/database/feis/fire_regime_table/fire_regime_table.html",
          "accessURL": "https://www.fs.usda.gov/database/feis/fire_regime_table/fire_regime_table.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-02-01",
      "references": [
        "https://doi.org/10.1002/ece3.8026",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462151"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data to assess reduction of nonpoint source nutrients in estuaries (Newport Bay, CA; Roberts Bay, FL; and Peconic Estuary, NY)",
      "description": "The manuscript assembled data from existing sources (summarized below) to assess water quality improvements in three estuaries (Peconic Estuary (NY), Roberts Bay (FL), and Newport Bay (CA) associated with reduction of nonpoint sources of nutrients.  No EPA generated data in this manuscript, only secondary sources. \n\nThis dataset is associated with the following publication:\nGreen, L., C. Magel, and C.A. Brown. Management pathways for the successful reduction of nonpoint source nutrients in coastal ecosystems.   Regional Studies in Marine Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 45: 101851, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518557",
      "keyword": [
        "eutrophication",
        "seagrass",
        "macroalgae",
        "nutrients",
        "temperature",
        "Zostera marina",
        "Zostera japonica",
        "nutrient pollution index",
        "wasting disease"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "NPSAllData_4-08-2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518557/NPSAllData_4-08-2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1016/j.rsma.2021.101851"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"A data engineering framework for chemical flow analysis of industrial pollution abatement operations\"",
      "description": "The EPA GitHub repository PAU4ChemAs as described in the README.md file, contains Python scripts written to build the PAU dataset modules (technologies, capital and operating costs, and chemical prices) for tracking chemical flows transfers, releases estimation, and identification of potential occupation exposure scenarios in pollution abatement units (PAUs). These PAUs are employed for on-site chemical end-of-life management. The folder datasets contains the outputs for each framework step. The Chemicals_in_categories.csv contains the chemicals for the TRI chemical categories. \nThe EPA GitHub repository PAU_case_study as described in its readme.md entry, contains the Python scripts to run the manuscript case study for designing the PAUs, the data-driven models, and the decision-making module for chemicals of concern and tracking flow transfers at the end-of-life stage. The data was obtained by means of data engineering using different publicly-available databases. The properties of chemicals were obtained using the GitHub repository Properties_Scraper, while the PAU dataset using the repository PAU4Chem.\nFinally, the EPA GitHub repository Properties_Scraper contains a Python script to massively gather information about exposure limits and physical properties from different publicly-available sources: EPA, NOAA, OSHA, and the institute for Occupational Safety and Health of the German Social Accident Insurance (IFA).       \nAlso, all GitHub repositories describe the Python libraries required for running their code, how to use them, the obtained outputs files after running the Python script modules, and the corresponding EPA Disclaimer. \n\nThis dataset is associated with the following publication:\nHernandez-Betancur, J.D., M. Martin, and G.J. Ruiz-Mercado. A data engineering framework for on-site end-of-life industrial operations.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 327: 129514, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521105",
      "keyword": [
        "data engineering",
        "pollution abatement unit",
        "Chemical releases",
        "on-site End-of-Life",
        "life cycle inventory",
        "Chemical Safety for Sustainability",
        "chemical manufacturing",
        "Life Cycle Environmental Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/PAU4Chem",
          "accessURL": "https://github.com/USEPA/PAU4Chem",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/PAU_case_study",
          "accessURL": "https://github.com/USEPA/PAU_case_study",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/Properties_Scraper",
          "accessURL": "https://github.com/USEPA/Properties_Scraper",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-18",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2021.129514"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildfire_streams_Dataset",
      "description": "Wildfire effects on Stream discharge and suspended sediments. \n\nThis dataset is associated with the following publication:\nBeyene, M.T., S.G. Leibowitz, and M.J. Pennino. Parsing Weather Variability and Wildfire Effects on the Post-Fire Changes in Daily Stream Flows: A Quantile-Based Statistical Approach and Its Application.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(10): e2020WR028029, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503915",
      "keyword": [
        "Wildfires",
        "stream water quality",
        "Extremes",
        "streamflow",
        "probabilistic risk assessment",
        "water infrastructure",
        "ecological condition assessment"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata_Summary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503915/Metadata_Summary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-28",
      "references": [
        "https://doi.org/10.1029/2020wr028029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1503915/documents/Metadata_Summary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities.\"",
      "description": "https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles\n* These folders supply supporting datasets for the manuscript \"COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities.\" \n* The datasets are recorder as comma-separated values (.csv) and Microsoft Excel® (.xlsx) files. Column data entries have names and units. Some data are about animal facility population and location, amount of nutrient-rich waste generated (kg/yr), amount of nutrient recovered (kg P/yr), installing, capital, and maintenance costs (USD), technologies and their ranking and frequency of being selected for each combination of normalization-aggregation methods, average chlorophyll-a concentration in water in the watershed (ug/L), and average phosphorus concentration in water in the watershed (ug/L). \n* The folder “Manuscript” has subfolders with datasets for creating manuscript Figures 4, 8, 9, and 10 as well as datasets for Tables 9 and 10. \n* The folder “Supplementary Material” holds subfolders with datasets for creating Supplementary Material Figures 1-5, 8, 9, 11, and 12. \n\nThis dataset is associated with the following publication:\nMartin-Hernandez, E., M. Martin, and G.J. Ruiz-Mercado. A geospatial environmental and techno-economic framework for sustainable phosphorus management at livestock facilities.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 175: 105843, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518739",
      "keyword": [
        "geospatial environmental sensitivity",
        "Nutrient loading",
        "Nutrient legacy",
        "techno-economic models",
        "livestock facility",
        "supply chain",
        "organic waste",
        "quantitative indicators",
        "multi-criterion decision making analysis",
        "sustainability analysis",
        "modeling and optimization",
        "nutrient pollution",
        "Harmful Algal Bloom (HAB)",
        "energy recovery"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles",
          "accessURL": "https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-02",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2021.105843"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats",
      "description": "This data set was used for the manuscript titled \"Ozone-induced Changes in Oxidative Stress Parameters in Brain regions of Adult, Middle-age, and Senescent Brown Norway Rats\". It includes various biochemical endpoints and neurobehavior. \n\nThis dataset is associated with the following publication:\nKodavanti, P.R., M. Valdez, J. Richards, D. Agina-Obu, P. Phillips, K. Jarema, and U. Kodavanti. Ozone-induced changes in oxidative stress parameters in brain regions of adult, middle-age, and senescent Brown Norway rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 410: 115351, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519355",
      "keyword": [
        "oxidative stress",
        "O3",
        "Ozone",
        "TAS",
        "total antioxidant substances",
        "GSH",
        "glutathione",
        "GCS",
        "glutamylcysteine synthetase",
        "GST",
        "glutathione transferease",
        "NQO1",
        "NAD(P)H:Quinone oxidoreductase",
        "UBIQ-RD",
        "NADH Ubiquinone reductase",
        "SOD",
        "superoxide dismutase"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "E313_DataSummary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519355/E313_DataSummary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-14",
      "references": [
        "https://doi.org/10.1016/j.taap.2020.115351"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Volatile Chemical Product Enhancements to Criteria Pollutants in the United States",
      "description": "Data includes CMAQ code, CMAQ output, analysis scripts, CMAQ emission inputs, and VCPy emission framework code.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522651",
      "keyword": [
        "volatile chemical product (VCP)",
        "secondary organic aerosol (SOA)",
        "Ozone",
        "pm2.5",
        "volatile organic compounds",
        "Semi-volatile organic compounds (SVOCs)",
        "Intermediate Volatility Organic Compounds (IVOCs)"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/4081737",
          "accessURL": "https://zenodo.org/record/4081737",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/VCPy",
          "accessURL": "https://github.com/USEPA/VCPy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Seltzer_CONUS_VCPs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522651/Seltzer_CONUS_VCPs.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RARE_1718_NTM_HPC",
      "description": "The dataset has total chlorine concentration, monochloramine concentration, HPC CFU/500mL, NTM CFU/500mL, and M. avium, M. intracellular, and M. abscessus GU/500ML and THM4 and HAA5/HAA9 data. \n\nThis dataset is associated with the following publication:\nPfaller, S., D. King, J. Mistry, J. Pressman, D. Wahman, G. Abulikemu, and M. Donohue. Chloramine Concentrations within Distribution Systems and Their Effect on Heterotrophic Bacteria, Mycobacterial Species, and Disinfection Byproducts.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 205: 117689, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520746",
      "keyword": [
        "hetertrophic bacteria",
        "Nontuberculous Mycobacteria (NTM)",
        "Drinking water distribution system",
        "trihalomethanes",
        "Haloacetic acid",
        "Mycobacterium avium",
        "Mycobacterium abscessus"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "Final RARE1718 SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520746/Final%20RARE1718%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-11",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.117689"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Headwater Wetland Hydrologic Modeling",
      "description": "These are input data to the Soil and Water Assessment Tool (SWAT) developed for a watershed and Artificial Neural Network (ANN) constructed as a simulation model for the wetland as well as outputs from the two models that were used to construct all figures in the manuscript. The SWAT model simulated surface runoff inflow and upwelling groundwater discharge to a headwater-slope wetland in Baldwin County, Alabama and ANN simulated outflow from the wetland to a stream. \n\nThis dataset is associated with the following publication:\nRemesh, R., L. Kalin, M.M. Hantush, M. Rezaeinzadeh, and C.J. Anderson. Challenges Calibrating Hydrology for Groundwater-Fed Wetlands: a Headwater Wetland Case Study.   ENVIRONMENTAL MODELING AND ASSESSMENT. Baltzer Science Publishers BV, Bussum,  NETHERLANDS, 25: 355-371, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518469",
      "keyword": [
        "wetland",
        "model",
        "SWAT",
        "headwater slope wetland",
        "artificial neural networks",
        "baseflow",
        "groundwater"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ezD4776489_GW-fed wetland hydrologic modeling.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518469/ezD4776489_GW-fed%20wetland%20hydrologic%20modeling.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-11",
      "references": [
        "https://doi.org/10.1007/s10666-019-09684-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-038667: A Gene Expression Biomarker Predicts Heat Shock Factor 1 (HSF1) Activation in a Gene Expression Compendium",
      "description": "Gene Expression Omnibus and ArrayExpress identification numbers of studies used in the analysis. \n\nThis dataset is associated with the following publication:\nCervantes, P., and C. Corton. A Gene Expression Biomarker Predicts Heat Shock Factor 1 Activation in a Gene Expression Compendium.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 34(7): 1721-1737, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520609",
      "keyword": [
        "HTTr",
        "transcript profiling",
        "heat shock factor 1",
        "biomarker"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-cfz7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520609/Data%20submission%20for%20A-cfz7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.0c00510"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Quantitative microbial risk assessment of antimicrobial resistant and susceptible Staphylococcus aureus in reclaimed wastewaters",
      "description": "Includes annual probabilities of colonization (Pcol), probabilities of skin and blood stream (bs) infection (Pinf), and associated disability adjusted life years (DALY) for exposure to methicillin-susceptible and -resistant Staphylococcus aureus (MSSA/MRSA) in reclaimed greywater (GW) and wastewater (WW) as described in the article's text.  A data dictionary is included in the metadata tab of the workbook. \n\nThis dataset is associated with the following publication:\nSchoen, M., M. Jahne, J. Garland, L. Ramirez, A. Lopatkin, and K. Hamilton. Quantitative microbial risk assessment of antimicrobial resistant and susceptible Staphylococcus aureus in reclaimed wastewaters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(20): 13413-14330, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520876",
      "keyword": [
        "water reuse",
        "QMRA",
        "MRSA",
        "graywater",
        "wastewater",
        "antimicrobial resistance",
        "staphylococcus aureus"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520876/Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-18",
      "references": [
        "https://doi.org/10.1021/acs.est.1c04038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Secondary organic aerosol and cardiorespiratory disease mortality data",
      "description": "The analysis code for post-processing CMAQ predictions, aggregating CMAQ to annual-average component values, aligning data by county, and performing the statistical analyses as well as the complete set of multiple regression results from the associated publication are available here. \n\nThis dataset is associated with the following publication:\nPye, H., C. Ward-Caviness, B. Murphy, K.W. Appel, and K. Seltzer. Secondary organic aerosol association with cardiorespiratory disease mortality in the United States.   NATURE. Nature Publishing Group, New York, NY, USA, 12: 7215, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519254",
      "keyword": [
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.3585898",
          "accessURL": "https://doi.org/10.5281/zenodo.3585898",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20210208.strokeproject.pye.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519254/20210208.strokeproject.pye.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://wonder.cdc.gov/cmf-icd10.html",
          "accessURL": "https://wonder.cdc.gov/cmf-icd10.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-25",
      "references": [
        "https://doi.org/10.1038/s41467-021-27484-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput transcriptomics platform for screening hepatotoxicants-NCBI/GEO GSE152128",
      "description": "We introduce a new high-throughput transcriptomics (HTTr) platform comprised of a collagen sandwich primary rat hepatocyte culture and the TempO-Seq assay for screening and prioritizing potential hepatotoxicants. We selected 14 chemicals based on their risk of drug-induced liver injury (DILI) and tested them in hepatocytes at two treatment concentrations. HTTr data was generated using the TempO-Seq whole transcriptome and S1500+ assays. The HTTr platform exhibited high reproducibility between technical replicates (r>0.9) but biological replication was greater for TempO-Seq S1500+ (r>0.85) than for the whole transcriptome (r>0.7). Reproducibility between biological replicates was dependent on the strength of transcriptional effects induced by a chemical treatment. Despite targeting a smaller number of genes, the S1500+ assay clustered chemical treatments and produced gene set enrichment analysis (GSEA) scores comparable to those of the whole transcriptome. Connectivity mapping showed a high-level of reproducibility between TempO-Seq data and Affymetrix GeneChip data from the Open TG-GATES project with high concordance between the S1500+ gene set and whole transcriptome. Taken together, our results provide guidance on selecting the number of technical and biological replicates and support the use of TempO-Seq S1500+ assay for a high-throughput platform for screening hepatotoxicants.\nFASTQ files and read counts data have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO) (GSE152128). \n\nThis dataset is associated with the following publication:\nLee, F., I. Shah, Y.T. Soong, J. Xing, I.C. Ng, F. Tasnim, and H. Yu. Reproducibility and Robustness of High-Throughput S1500+ Transcriptomics on Primary Rat Hepatocytes for Chemical-Induced Hepatotoxicity Assessment.   Current Research in Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 2: 282-295, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523391",
      "keyword": [
        "high-throughput transcriptomics",
        "Connectivity mapping",
        "hepatotoxicity",
        "rat hepatocytes",
        "collagen sandwich",
        "Gene set enrichment analysis",
        "Hallmark gene set collection"
      ],
      "contactPoint": {
        "fn": "Imran Shah",
        "hasEmail": "mailto:shah.imran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE152128",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE152128",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-06-09",
      "references": [
        "https://doi.org/10.1016/j.crtox.2021.07.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "QTOF Analysis",
      "description": "QTOF analysis data. \n\nThis dataset is associated with the following publication:\nVerma , S., B. Mezgebe , E. Sahle-Demessie, and M. Nadagouda. Photooxidative Decomposition and Defluorination of Perfluorooctanoic Acid (PFOA) Using an Innovative Technology of UV-vis/ZnxCu1-xFe2O4/Oxalic Acid.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 280: 130660, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524252",
      "keyword": [
        "Photocatalysis",
        "magnetic Zn-ferrite nanoparticles",
        "per and polyfluoroalkyl substances (PFAS)"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "Analysis.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524252/Analysis.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-17",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2021.130660"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gilbert_Extrathyroidal MOA and DNT",
      "description": "This file contains summary data of thyroid hormones in serum and brain in rat dams and their pups following maternal exposure to a perflorinated substance, PFHxS and an antimicrobial, Triclosan. Gene expression in thyroid glands and liver and brain were investigated. Anatomical and bahavioral indices of developmental neurotoxicity were assessed. Result so fall of these inquiries are summarized in these datasets. \n\nThis dataset is associated with the following publication:\nGilbert, M.E., K. OShaughnessy, S. Thomas, C. Riutta, C. Wood, A. Smith, W. Oshiro, J. Ford, A. Hotchkiss, I. Hassan, and R.L. Ford. Thyroid Disruptors: Extrathyroidal Sites of Chemical Action and Neurodevelopmental Outcome-An Examination Using Triclosan and Perfluorohexane Sulfonate.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  183(6): 195-213, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520742",
      "keyword": [
        "developmental hypothyroidism",
        "thyroid disrupting chemicals",
        "Development neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "M0317 Science Hub Data Summary_A-K99g.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520742/M0317%20Science%20Hub%20Data%20Summary_A-K99g.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-28",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab080"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Martin et al_Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry",
      "description": "This data set contains the values used to generate the tables and figures in the manuscript. \n\nThis dataset is associated with the following publication:\nMartin, W.K., S. Padilla, Y. Kim, M. Hays, D. Hunter, M. Hazari, D. DeMarini, I. Gilmour, and A. Farraj. Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 84(16): 674-688, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521027",
      "keyword": [
        "air pollution",
        "Wildland Fire",
        "particulate matter",
        "zebrafish",
        "irritant responses",
        "biomass",
        "locomotor assay",
        "chemistry",
        "combustion phase",
        "sources"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "FarrajAimen_A-9w1b_All Data_February-3-2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521027/FarrajAimen_A-9w1b_All%20Data_February-3-2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-15",
      "references": [
        "https://doi.org/10.1080/15287394.2021.1925608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-Analysis and modeling of vegetated filter removal of sediment using global dataset",
      "description": "Data on vegetated filter strips, sediment loading into and out of riparian corridors/buffers (VFS), removal efficiency of sediment, meta-analysis of removal efficiencies, dimensional analysis of predictor variables, and regression modeling of VFS removal efficiencies. \n\nThis dataset is associated with the following publication:\nRamesh, R., L. Kalin, M. Hantush, and A. Chaudhary. A secondary assessment of sediment trapping effectiveness by vegetated buffers.   ECOLOGICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 159: 106094, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521111",
      "keyword": [
        "vegetated buffer",
        "filter strip",
        "sediment",
        "bmp"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ezD4762761_ScienceHub_ECOLENG.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521111/ezD4762761_ScienceHub_ECOLENG.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-03",
      "references": [
        "https://doi.org/10.1016/j.ecoleng.2020.106094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phi6 Manuscript_Antimicrobial Coatings_Complete Data",
      "description": "Effectiveness (efficacy) data for antimicrobial coatings against phi6 bacteriaphage. \n\nThis dataset is associated with the following publication:\nCalfee, M., S. Ryan, A. Abdel-Hady, M. Monge, D. Aslett, A. Touati, M. Stewart, S. Tomasino, S. Lawrence, K. Willis, and R. Pines. Antimicrobial Surface Coatings Antiviral Efficacy Against the Enveloped Bacteriophage ?6.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA,  12, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522632",
      "keyword": [
        "antimicrobials"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Phi6 Manuscript_Antimicrobial Coatings_Complete Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522632/Phi6%20Manuscript_Antimicrobial%20Coatings_Complete%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-21",
      "references": [
        "https://doi.org/10.1111/jam.15339"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chironomid nitrogen stable isotope data for NARS 2007-2009, 2012-2014 surveys",
      "description": "Nitrogen stable isotope data and associated meta data from the 2007 National Lakes Assessment, and the 2008-2009 National Rivers and Streams Assessment.  The data also include site location, Nitrogen inventory information for the watershed, and nitrogen concentrations measured as part of NARS.  Other relevant NARS information for the sites are also included.  Updated 5/16/2025 to include NLA 2012 and NRSA 2013-2014 chironomid isotope data. \n\nThis dataset is associated with the following publication:\nBrooks, J.R., J. Compton, J. Lin, A. Herlihy, A. Nahlik, W. Rugh, and M. Weber. δ15N of Chironomidae: An index of nitrogen sources and processing within watersheds for national aquatic monitoring programs.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 813: 151867, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523163",
      "keyword": [
        "NARS",
        "stable isotopes",
        "Nitrogen and Co-pollutants",
        "EPA National Lake Assessment",
        "National Rivers and Streams Assessment"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "NARS070809Chironomids-ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523163/NARS070809Chironomids-ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NLA2012_Chironomid_isotope_data-ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523163/NLA2012_Chironomid_isotope_data-ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA1314Chironomids-ScienceHub-250516.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523163/NRSA1314Chironomids-ScienceHub-250516.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-19",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.151867",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865614"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating Flood-Induced Soil and Sediment Transport with a Coupled HEC-RAS 2D and WASP Model",
      "description": "These datasets contain results of sediment and contaminant transport (arsenic) simulation for 100-year flood in Woodbridge watershed, NJ. The flood discharge is simulated by HEC-HMS model using 24-hours storm and runoff curve number method. HEC-RAS 2D is used to simulate flood with 48-hours duration. The External Coupler program links HEC-RAS 2D and WASP in an offline and one-way direction. The Coupler is developed in python. The source code, executable file, and users’ manual for the program are available in the External Coupler folder. Using hydrodynamic file generated by the External Coupler, WASP simulated sediment and contaminant transport in flood. \n\nThis dataset is associated with the following publication:\nShabani, A., S. Woznicki, M. Mehaffey, J. Butcher, T. Wool, and P. Whung. A coupled hydrodynamic (HEC-RAS 2D) and water quality model (WASP) for simulating flood-induced soil, sediment, and contaminant transport.   Journal of Flood Risk Management. John Wiley & Sons, Inc., Hoboken, NJ, USA, 14(4): e12747, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522940",
      "keyword": [
        "flood",
        "hydrodynamic linkage",
        "sediment and contaminant transport",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Pai-Yei Whung",
        "hasEmail": "mailto:whung.pai-yei@epa.gov"
      },
      "distribution": [
        {
          "title": "External Coupler.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522940/External%20Coupler.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WASP.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522940/WASP.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Floodplain.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522940/Floodplain.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Flood discharge.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522940/Flood%20discharge.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HEC-RAS 2D.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522940/HEC-RAS%202D.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-11",
      "references": [
        "https://doi.org/10.1111/jfr3.12747"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AW_betasdam Final data and code",
      "description": "Hydrological, biological, geomorphological, and geospatial datasets collected from the Arid West used to develop the Beta SDAM for the Arid West.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523371",
      "keyword": [
        "ephemeral",
        "intermittent",
        "perennial",
        "classification",
        "temporary",
        "intermittency",
        "permanence",
        "indicators",
        "rapid assessment",
        "drying",
        "hydrology"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "AW_betasdam Final data and code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523371/AW_betasdam%20Final%20data%20and%20code.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone Data / Dry Weight Data",
      "description": "Growth Response of Sixteen Species of Coniferous and Deciduous Tree Seedlings and Clones exposed to ozone. Contains both ozone and dry weight data for the following tree species: Black Cherry, Chestnut Oak, Douglas-fir, Eastern White Pine, Ponderosa Pine, Quaking Aspen, Red Alder, Red Maple, Sugar Maple, Sweetgum, Sycamore, Table Mountain Pine, Tulip Poplar, Virginia Pine, Winged Sumac, and Yellow Buckeye. \n\nThis dataset is associated with the following publication:\nLee, E.H., C. Andersen, P. Beedlow, D. Tingey, S. Koike, J. Dubois, S. Kaylor, K. Novak, R. Rice, H. Neufeld, and J. Herrick. Ozone exposure-response relationships parametrized for sixteen tree species with varying sensitivity in the United States.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA,  119191, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523354",
      "keyword": [
        "Tropospheric Ozone",
        "Black Cherry",
        "Chestnut Oak",
        "Douglas-fir",
        "Eastern White Pine",
        "ponderosa pine",
        "Quaking Aspen",
        "Red Alder",
        "Red Maple",
        "Sugar Maple",
        "Sweetgum",
        "Sycamore",
        "Table Mountain Pine",
        "Tulip Poplar",
        "Virginia Pine",
        "Winged Sumac",
        "Yellow Buckeye",
        "dry weight",
        "W126",
        "SMNP",
        "Michigan"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "ozone meta_analysis.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523354/ozone%20meta_analysis.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-06",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119191"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523354/documents/variable%20table.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Speciation Network and IMPROVE Reduced Nitrogen Method Evaluation",
      "description": "Dataset includes reduced nitrogen (NHx) concentrations that were collected at Duke Forest, NC and Gainesville, FL using a CSN MetOne SuperSASS and IMPROVE PM sampler from May - October 2017. Using an acid impregnated filter in the CSN and IMPROVE samplers, NHx concentrations were compared to URG annular denuder measurements. Results are summarized in a report: Improving characterization of reduced nitrogen at IMPROVE and CSN monitoring sites (https://www.epa.gov/system/files/documents/2021-11/nhx_summary-report_final.pdf). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524284",
      "keyword": [
        "reduced nitrogen",
        "chemical speciation network",
        "IMPROVE",
        "ambient ammonia",
        "Castnet"
      ],
      "contactPoint": {
        "fn": "Melissa Puchalski",
        "hasEmail": "mailto:puchalski.melissa@epa.gov"
      },
      "distribution": [
        {
          "title": "NHX_QC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/NHX_QC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHX_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/NHX_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHX_Flags.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/NHX_Flags.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHx_QC_Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/NHx_QC_Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHx_Final_Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/NHx_Final_Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-23",
      "references": [
        "https://www.epa.gov/system/files/documents/2021-11/nhx_summary-report_final.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1524284/documents/NHx%20QAPP%20052317%20Signed.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1524284/documents/NHx%20QAPP%20052317%20Signed.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Clean-Up of Contaminated Sites with Decision Analysis: A Case Study on Prioritization of Remediation Alternatives in Superfund ",
      "description": "The summary from the detailed analysis of the case study in EPA (1988b) is provided in Table 3 of the manuscript, and was used as the data source for the two datasets used in this study. These include a flat and hierarchical structure of the five balancing criteria, shown in Table 4 and Table 5, respectively. Table 4 provides a comprehensive score for each balancing criterion, similar to the summary tables presented in the FS of Superfund sites (e.g., (EPA 2016b, AECOM 2019)). Table 5 uses the same information in Table 3, but in this case, each piece of information is used to define multiple sub-criteria for each balancing criterion, except the cost one. This leads to a much more elaborate information table with the four remaining balancing criteria, now characterized by 13 sub-criteria. \n\nIt is important to note that the scoring provided in Table 4 and Table 5, with the exception of the cost (c_5), were derived from the author’s interpretation of the descriptive language of the detailed analysis in for the hypothetical case study in presented in Table A-7 in Appendix A of the guidance document of EPA (1988b). It should be noted that the analysis of the three remedy alternatives presented in this hypothetical case study is governed by site-specific characteristics and may not represent potential performance of these remediation alternatives for other sites .  The intent of this exercise is to illustrate the flexibility and adaptability of the MCDA process to address both the main, overarching criteria, as well as sub-criteria that may have specific importance in the decision process for a particular site.  Ultimately, the sub-criteria can be adapted to address specific stakeholder perspectives or technical factors that may be linked to properties unique to the contaminant or physical characteristics of the site. \n\nThis dataset is associated with the following publication:\nCinelli, M., M.A. Gonzalez, R. Ford, J. McKernan, S. Corrente, M. Kadziński, and R. Słowiński. Supporting contaminated sites management with Multiple Criteria Decision Analysis: Demonstration of a regulation-consistent approach.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 316: 128347, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519344",
      "keyword": [
        "Remediation Technology",
        "Decision analysis",
        "emerging technology",
        "Environmental remediation",
        "multi-criteria decision analysis"
      ],
      "contactPoint": {
        "fn": "Michael Gonzalez",
        "hasEmail": "mailto:gonzalez.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "MCDA&Superfund_SciHub entry_200904.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519344/MCDA%26Superfund_SciHub%20entry_200904.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-09-04",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2021.128347"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation results and model files",
      "description": "Two model input files and all the simulation results in the paper. \n\nThis dataset is associated with the following publication:\nShang, F., H. Woo, J. Burkhardt, and R. Murray. Lagrangian Method to Model Advection-Dispersion-Reaction Transport in Drinking Water Pipe Networks.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 147(9): 04021057, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524253",
      "keyword": [
        "Advection dispersion",
        "EPANET",
        "Lagrangain"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "Outputs_inWRPMpaper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524253/Outputs_inWRPMpaper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "paper_example_1inp.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524253/paper_example_1inp.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "paper_example_2inp.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524253/paper_example_2inp.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "paper_example_3inp.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524253/paper_example_3inp.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-31",
      "references": [
        "https://doi.org/10.1061/(asce)wr.1943-5452.0001421"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1524253/documents/data.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "NADP Total Deposition Data",
      "description": "The data are grids of total atmospheric deposition created through a measurement-model fusion process that uses data from the Community Multiscale Air Quality (CMAQ) modeling system and monitoring data from the National Atmospheric Deposition Deposition Program National Trends Network and the EPA Clean Air Status and Trends Network. Additional information about the development of the data can be found on the NADP TDep website (http://nadp.slh.wisc.edu/committees/tdep/tdepmaps/). \n\nThis dataset is associated with the following publication:\nFu, J., G. Carmichael, F. Dentener, W. Aas, C. Andersson, L. Barrie, A. Cole, C. Galy-Lacaux, J. Geddes, S. Itahashi, M. Kanakidou, L. Labrador, F. Paulot, D. Schwede, J. Tan, and R. Vet. Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(4): 2134-2142, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522410",
      "keyword": [
        "TDep",
        "atmospheric deposition",
        "CMAQ",
        "Castnet",
        "NADP/NTN"
      ],
      "contactPoint": {
        "fn": "Donna Schwede",
        "hasEmail": "mailto:schwede.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/castnet/tdep/",
          "accessURL": "https://gaftp.epa.gov/castnet/tdep/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-24",
      "references": [
        "https://doi.org/10.1021/acs.est.1c05929"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "16S and ITS amplicon sequencing of reconstructed wetland soil metagenomes",
      "description": "Experiments tested if changes in soil microbiomes within reconstructed freshwater wetlands were associated with exposure to elevated Cu concentrations originating from immersed Micronized Copper Azole (MCA) treated wood stakes. Soil samples were collected for amplicon sequencing to quantify responses in microbial communities at 15 timepoints, spanning 2 simulated seasonal dry downs, for up to 678 days. \n\nThis dataset is associated with the following publication:\nReichman, J., M. Johnson, P. Rygiewicz, B. Smith, M. Bollman, M. Storm, G. King, and C. Andersen. Focused Microbiome Shifts in Reconstructed Wetlands Correlated with Elevated Copper Concentrations Orginating from Micronized Copper Azole- Treated Wood.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(12): 3351-3368, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522604",
      "keyword": [
        "engineered nanomaterials",
        "Micronized Copper Azole",
        "wetlands",
        "microbiome",
        "microbial communities",
        "16S rRNA Amplicon Sequencing",
        "ITS rRNA Amplicon Sequencing"
      ],
      "contactPoint": {
        "fn": "Jay Reichman",
        "hasEmail": "mailto:reichman.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA724742",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA724742",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-23",
      "references": [
        "https://doi.org/10.1002/etc.5219"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Modeling secondary organic aerosol formation from volatile chemical products",
      "description": "Data contains CMAQ code, VCPy code, CMAQ input files, and output files used in the work of Pennington et al.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522655",
      "keyword": [
        "secondary organic aerosol (SOA)",
        "Formaldehyde",
        "Ozone",
        "fine particulate matter (PM2.5)",
        "CalNex",
        "Los Angeles"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/4081737",
          "accessURL": "https://zenodo.org/record/4081737",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/VCPy",
          "accessURL": "https://github.com/USEPA/VCPy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pennington_CalNex_VCPs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522655/Pennington_CalNex_VCPs.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pennington_Input_Output.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522655/Pennington_Input_Output.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522655/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset_1: data in figures. Dataset_2: SI_Tables.",
      "description": "Dataset for the publication \"Expanded High-Throughput Screening and Chemotype-Enrichment Analysis of the Phase II:e1k ToxCast Library for Human Sodium-Iodide Symporter (NIS) Inhibition\".\n\nhttps://doi.org/10.1007/s00204-021-03006-2\n\nDataset1 contains data for figures.\nDataset2 contains all supplemental tables data. \n\nThis dataset is associated with the following publication:\nWang, J., A. Richard, A. Murr, A. Buckalew, R. Lougee, M.A. Shobair, D. Hallinger, S. Laws, and T. Stoker. Expanded High-Throughput Screening and Chemotype-Enrichment Analysis of the Phase II:e1k ToxCast Library for Human Sodium-Iodide Symporter (NIS) Inhibition.   Archives of Toxicology. Springer, New York, NY, USA, 95(5): 1723-1737, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521163",
      "keyword": [
        "sodium-iodide symporter",
        "thyroid",
        "endocrine disruptor",
        "high-throughput in vitro screening assay",
        "ToxPrint",
        "chemotype"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_1_Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521163/Dataset_1_Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dataset_2_SI.Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521163/Dataset_2_SI.Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-31",
      "references": [
        "https://doi.org/10.1007/s00204-021-03006-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WaterAPT article dataset",
      "description": "Input tables used to generate the output, i.e., technology ranking in the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522412",
      "keyword": [
        "Analytic Hierarchy Process",
        "benzene",
        "Decontamination",
        "drinking water",
        "multi-criteria decision analysis",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "WaterAPT article dataset.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522412/WaterAPT%20article%20dataset.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data",
      "description": "Here are all of the data files used for this manuscript. Please note that this is all published data. Imran Shah 1.1060+ Chemicals and Chemical controls 2. Chemical descriptors (chm): 2048 Morgan (mrgn) 2048 Topological Torsion (tptr) 729 ToxPrints (toxp) 3. Transcriptomic descriptors(bio): 95 Gene (ge) 189 Assay (asy) 4. 922 Toxicity outcomes(tox) 5. 86 Predefined Chemical Clusters",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524247",
      "keyword": [
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Imran Shah",
        "hasEmail": "mailto:shah.imran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/i-shah/genra-ltea",
          "accessURL": "https://github.com/i-shah/genra-ltea",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S7-chem.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524247/S7-chem.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S3-clust.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524247/S3-clust.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S3-bio.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524247/S3-bio.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2-bio.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524247/S2-bio.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1-tox.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524247/S1-tox.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Determining the Predictive Limit of QSAR Models",
      "description": "The research done to evaluate how the predictivity of models are effected by error in either the training or the test set is simple to describe conceptually. Benchmark datasets are downloaded from reputable sources. Then the datasets are split into training and test sets. Randomized error is added and then models created on both error laden and native training sets. Those models are used to predict both error laden and native test sets. Differences in standard statistics commonly used to assess predictivity are observed. \n\nThis dataset is associated with the following publication:\nKolmar, S., and C. Grulke. The Effect of Noise on the Predictive Limit of QSAR Models.   Journal of Cheminformatics. Springer, New York, NY, USA, 13: 92, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524279",
      "keyword": [
        "error",
        "Gaussian process",
        "model evaluation",
        "Prediction error"
      ],
      "contactPoint": {
        "fn": "Scott Kolmar",
        "hasEmail": "mailto:kolmar.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-ChemInf-ModelExperiments-ErrorEffects/tree/SIRepo",
          "accessURL": "https://github.com/USEPA/CompTox-ChemInf-ModelExperiments-ErrorEffects/tree/SIRepo",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-21",
      "references": [
        "https://doi.org/10.1186/s13321-021-00571-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for satellites predict lakes at risk from cyanobacteria and microcystin toxins",
      "description": "Data for analysis for modeling probability of measuring microcystin toxin, cyanobacteria cell abundance, and chlorophyll a concentration in ~2,200 lakes based on cyanobacteria summer bloom magnitude measured by satellite imagery. \n\nThis dataset is associated with the following publication:\nHandler, A., J. Compton, R. Hill, S. Leibowitz, and B. Schaeffer. Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 869: 161784, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524299",
      "keyword": [
        "cyanobacteria",
        "Cyanobacteria Assessment Network",
        "microcystin",
        "National Lakes Assessment",
        "lakes",
        "Harmful Algal Blooms"
      ],
      "contactPoint": {
        "fn": "Amalia Handler",
        "hasEmail": "mailto:handler.amalia@epa.gov"
      },
      "distribution": [
        {
          "title": "HABsRisk_CyAN-NLA_ModelOutput_meta.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524299/HABsRisk_CyAN-NLA_ModelOutput_meta.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsRisk_CyAN-NLA_ModelOutput.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524299/HABsRisk_CyAN-NLA_ModelOutput.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsRisk_CyAN-NLA_ModelData_meta.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524299/HABsRisk_CyAN-NLA_ModelData_meta.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsRisk_CyAN-NLA_ModelData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524299/HABsRisk_CyAN-NLA_ModelData.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-08",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.161784",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10018780"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Two-Layer Soil Moisture Dynamics Model Development",
      "description": "The data are model generated volumetric soil moisture content and water fluxes. The purpose of the data is to illustrate model capability to simulate the two variables under complex surface and subsurface flux conditions. \n\nThis dataset is associated with the following publication:\nHe, J., M.M. Hantush, L. Kalin, M. Rezaeinzadeh, and S. Isik. A two-layer numerical model of soil moisture dynamics: Model development.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 602: 126797, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524300",
      "keyword": [
        "vadose zone",
        "soil moisture",
        "Root zone",
        "Richards' Equation",
        "model"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_2LAYER_MODEL_DEVELOPMENT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524300/ScienceHub_2LAYER_MODEL_DEVELOPMENT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-04-20",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2021.126797",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721842"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variables for Alzheimer's analysis (without PII data)",
      "description": "Organized by zipcode:\nRates of Alzheimer's disease\nPercent of landcover types\nModelled PM2.5\nSocioeconomic variables. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Lucas Neas (CPHEA/PHESD/EB) is the owner of the copy of this dataset that was used. Format: Medicare database. \n\nThis dataset is associated with the following publication:\nWu, J., and L. Jackson. Greenspace inversely associated with the risk of Alzheimer’s disease in the mid-Atlantic United States.   Earth. MDPI AG, Basel,  SWITZERLAND, 2(1): 140-150, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520939",
      "keyword": [
        "Alzheimer’s disease",
        "Greenspace",
        "water",
        "fine particulate matter (PM2.5)"
      ],
      "contactPoint": {
        "fn": "Jianyong Wu",
        "hasEmail": "mailto:wu.jianyong@epa.gov"
      },
      "distribution": [],
      "modified": "2018-11-28",
      "references": [
        "https://doi.org/10.3390/earth2010009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "ExpoKids Input and Output Data 2019",
      "description": "There are 3 types of data: 1) ExpoFIRST outputs for DEHP, Mn, Endosulfan (both per- and post-ban); 2) ExpoKids inputs for DEHP, Mn, Endosulfan (both per- and post-ban); and 3)  ExpoKids output plots for DEHP, Mn, Endosulfan (both per- and post-ban). \n\nThis dataset is associated with the following publication:\nDai, M., S. Euling, L. Phillips, and G. Rice. ExpoKids: An R-Based Tool for Characterizing Aggregate Chemical Exposure During Childhood.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 31: 233-247, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:062"
      ],
      "identifier": "https://doi.org/10.23719/1504433",
      "keyword": [
        "aggregate",
        "exposure",
        "children",
        "lifestage",
        "tool"
      ],
      "contactPoint": {
        "fn": "Glenn Rice",
        "hasEmail": "mailto:rice.glenn@epa.gov"
      },
      "distribution": [
        {
          "title": "DEHP ExpoFirst.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/DEHP%20ExpoFirst.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Endosulfan Ban ExpoFirst.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/Endosulfan%20Ban%20ExpoFirst.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Endosulfan ExpoFirst.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/Endosulfan%20ExpoFirst.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dehp Expokids Input 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/dehp%20Expokids%20Input%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dehpplots Expokids Plots 2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/dehpplots%20Expokids%20Plots%202019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "endosulfan_ban Expokids Input 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/endosulfan_ban%20Expokids%20Input%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "endosulfan ban Expokids Plots 2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/endosulfan%20ban%20Expokids%20Plots%202019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "endosulfan Expokids Plots 2019.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/endosulfan%20Expokids%20Plots%202019.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mn ExpoFirst.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/Mn%20ExpoFirst.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mn Expokids plots.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/mn%20Expokids%20plots.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MN Expokids Inputs 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/MN%20Expokids%20Inputs%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "endosulfan Expokids input 2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/endosulfan%20Expokids%20input%202019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-13",
      "references": [
        "https://doi.org/10.1038/s41370-020-00265-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504433/documents/091319%20Expokids%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Long-term performance of three mesophilic anaerobic digesters to convert animal and agro-industrial wastes into organic fertilizer",
      "description": "Anaerobic digestion (AD) is a process used to convert animal and agro-industrial wastes to organic fertilizers. Since digester effluents are used as for cropland applications, we are interested to find out whether the quality of these organic fertilizers are impacted by the AD process. In addition, few studies have investigated the performance of AD in field conditions. In this study, we monitored the performance of three operational AD systems for two years. These three systems have different retention times (9, 12 and 34 days), that is how long the waste materials stay in the digester. We collected influent and effluent samples every two months and analyzed for pH, nutrients and metals. We found that the two shorter retention systems slightly decreased effluent pH while the long retention system significantly increased the effluent pH, i.e., by 1.8 unit. The 34-day retention system also removed more solids and increased ammonium-nitrogen in the effluent. We found no significant changes in the metals that we analyzed. These findings can assist in developing strategies for cleaner production using AD in an environmentally sustainable manner. \n\nThis dataset is associated with the following publication:\nZhang, X., I. Lopes, J. Ni, Y. Yuan, C. Huang, D.R.  Smith, I. Chaubey, and S. Wu. Long-term performance of three mesophilic anaerobic digesters to convert animal and agro-industrial wastes into organic fertilizer.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 307: 127271, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524302",
      "keyword": [
        "Anaerobic digestion",
        "Effluent",
        "metals",
        "Ammonium nitrogen",
        "Nitrogen and Co-pollutants",
        "Total solids"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Combined_original_data_Clean_production_Zhang_.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524302/Combined_original_data_Clean_production_Zhang_.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-13",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2021.127271"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA_PROBsites_wQ.csv",
      "description": "Dataset includes compiled flow/no flow observations from past US EPA probabilistic stream",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524271",
      "keyword": [
        "flow regime",
        "measurement",
        "climate",
        "socio-ecological",
        "non-perennial rivers",
        "physiography"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROBsites_wQ.csv",
          "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROBsites_wQ.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROB_datadictionary.xlsx",
          "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1521344/EPA_PROB_datadictionary.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human-health impacts of controlling secondary air pollution precursors",
      "description": "Dataset includes CMAQv5.3.1 code used for emission reduction simulations and output from CMAQ for each pollutant at the county level.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523341",
      "keyword": [
        "Ozone",
        "CMAQ",
        "SOA",
        "fine particulate matter (PM2.5)",
        "air quality health impacts",
        "health",
        "sulfate",
        "Ammonium",
        "nitrate"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.3585898",
          "accessURL": "https://doi.org/10.5281/zenodo.3585898",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://wonder.cdc.gov/cmf-icd10.html",
          "accessURL": "https://wonder.cdc.gov/cmf-icd10.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cmaq.onedata.public.c20210325.u20211010.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523341/cmaq.onedata.public.c20210325.u20211010.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523341/documents/datadictionary.csv",
        "mediaType": "text/csv"
      },
      "accessRights": "public"
    },
    {
      "title": "Data to support Minucci et al. 2021 Ecological Applications",
      "description": "The U.S. Environmental Protection Agency (USEPA) and U.S. Department of Agriculture (USDA) are developing the VarroaPop+Pesticide model which simulates the dynamics of honey bee colonies and how they respond to multiple stressors, including weather, Varroa mites and pesticides. To evaluate this model, we used Approximate Bayesian Computation to fit field data from an empirical study where honey bee colonies were fed the insecticide clothianidin.\n\nModel input data (Minucci 2021a) are available on Figshare: https://doi.org/10.6084/m9.figshare.c.5402901.v1. Scripts (Minucci 2021b) to run this analysis are available on Zenodo: https://doi.org/10.5281/zenodo.4721797. \n\nThis dataset is associated with the following publication:\nMinucci, J., R.J. Curry, G. DeGrandi-Hoffman, C. Douglass, K. Garber, and S. Purucker. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference.   ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 31(8): e02442, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523022",
      "keyword": [
        "Bayesian inference",
        "Honey bees (Apis mellifera)",
        "approximate Bayesian computation",
        "colony feeding study",
        "colony models",
        "pesticides",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Jeffrey Minucci",
        "hasEmail": "mailto:minucci.jeffrey@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/collections/Data_to_support_Minucci_et_al_2021_Ecological_Applications/5402901/1",
          "accessURL": "https://figshare.com/collections/Data_to_support_Minucci_et_al_2021_Ecological_Applications/5402901/1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://zenodo.org/record/4721797#.YR0rR4hKiUk",
          "accessURL": "https://zenodo.org/record/4721797#.YR0rR4hKiUk",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-26",
      "references": [
        "https://doi.org/10.1002/eap.2442"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sensitivity of Riparian Buffer Designs to Climate Change",
      "description": "In this study, we assessed sensitivity of watershed-specific riparian buffer zone (RBZ) designs to water quality indicator parameters  in the contemporary climate and in future extreme climatic conditions. we summarized the RBZ design strategy and evaluated five water quality indicator (WQI) parameters: Dissolved Oxygen (DO), Total Phosphorous (TP), Total Nitrogen (TN), Sediment (SD), and Biochemical Oxygen Demand (BD) as component of watershed ecosystem services through sensitivity analyses of 135 simulation scenarios. The scenarios included the width variation of six baseline RBZs (Grass, Urban, Two-zone Forest, Three-zone Forest, Wildlife, and Naturalized) in three watersheds within the Albemarle-Pamlico river basin (USA). Analyses revealed optimal RBZ designs. \n\nThis dataset is associated with the following publication:\nGhimire, S., J. Corona, R. Parmar, G. Mahadwar, R. Srinivasan, K. Mendoza, and J. Johnston. Sensitivity of Riparian Buffer Designs to Climate Change—Nutrient and Sediment Loading to Streams: A Case Study in the Albemarle-Pamlico River Basins (USA) Using HAWQS.   Sustainability. MDPI AG, Basel,  SWITZERLAND, 13(22): 12380, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523159",
      "keyword": [
        "Riparian buffer zone",
        "Watershed",
        "water quality",
        "HAWQS",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Santosh Ghimire",
        "hasEmail": "mailto:ghimire.santosh@epa.gov"
      },
      "distribution": [
        {
          "title": "DataforScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523159/DataforScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-24",
      "references": [
        "https://doi.org/10.3390/su132212380"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures for EPA White Paper EPA-454/R-21-008: Overview of Progress and Findings from the Cross-EPA Coordination Effort for Understanding and Evaluating NOx Emissions Discrepancies",
      "description": "This white paper describes the EPA exploration of a reported discrepancy between estimates of NOX and reactive nitrogen (NOY) concentrations from the Community Multiscale Air Quality (CMAQ) model and ambient measurements.  The paper summarizes analysis that has been published in Toro et al. (2021) and Appel et al. (2017).  The data used in those publications is publicly available from Zenodo and data.gov (links below). \n\nFigures 1-2:  Appel, et. al, 2017, STICS ORD-018177\nAppel, K.W., Napelenok, S.L, Foley, K.M., Pye, H.O.T., Hogrefe, C., Luecken, D.J., Bash, J.O., Roselle, S.J., Pleim, J.E., Foroutan, H., Hutzell, W.T., Pouliot, G.A., Sarwar, G., Fahey, K.M., Gantt, B., Gilliam, R.C., Heath, N.K., Kang, D., Mathur, R., Schwede, D.B., Spero, T.L., Wong, D.C., Young, J.O. (2017) Description and evaluation of the Community Multiscale Air Quality (CMAQ) modeling system version 5.1. Geoscientific Model Development, 10, 1703-1732. https://doi.org/10.5194/gmd-10-1703-2017\nDATA:  https://catalog.data.gov/dataset/site-compare-scripts-and-output\n\nFigures 4-10: Toro et. al, 2021, STICS  ORD-039261\nToro, C., Foley, K., Simon, H., Henderson, B., Baker, K.R., Eyth, A., Timin, B., Appel, K.W., Luecken, D., Beardsley, M., Sonntag, D., Possiel, N., Roberts, S. (2021) Evaluation of 15 years of modeled NOX across the contiguous United States. Elementa: Science of the Anthropocene, 9(1). DOI: https://doi.org/10.1525/elementa.2020.20.00158.\nDATA:  https://zenodo.org/record/4633517#.YZ0mkNDMJPY\n\nFigure 11 - US EPA 2021 MOVES Technical Report\nU.S. EPA (2021c). Overview of EPA’s MOtor Vehicle Emission Simulator (MOVES3).  EPA-420-R-21-004. Office of Transportation and Air Quality, Ann Arbor, MI,  March 2021, https://www.epa.gov/moves/moves-technical-reports. \n\nThis dataset is associated with the following publication:\nSimon, H., P. Dolwick, A. Eyth, B. Henderson, S. Koplitz, R. Owen, S. Phillips, N. Possiel, V. Rao, B. Timin, J. Vukovich, C. Bailey, M. Beardsley, J. Choi, J. Han, H. Michaels, S. Roberts, D. Sonntag, J. Warila, M. Zawacki, K. Appel, J. Bash, K. Foley, G. Pouliot, H. Pye, L. Valin, S. Ballare, C. Toro, and S. Kimbrough. EPA-454/R-21-008: Overview of Progress and Findings from the Cross-EPA Coordination Effort for Understanding and Evaluating NOx Emissions Discrepancies. U.S. Environmental Protection Agency, Washington, DC, USA, 2021.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524267",
      "keyword": [
        "MOVES",
        "model evaluation",
        "emissions inventory",
        "nitrogen oxides",
        "CMAQ",
        "mobile emissions"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5194/gmd-10-1703-2017",
          "accessURL": "https://doi.org/10.5194/gmd-10-1703-2017",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1525/elementa.2020.00158",
          "accessURL": "https://doi.org/10.1525/elementa.2020.00158",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-01",
      "references": [
        "https://www.epa.gov/system/files/documents/2021-12/epa-454_r-21-008_final.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1500018/documents/WyatAppel_A-9zwc_Data_Dictionary.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://zenodo.org/record/4633517#.YZ0mkNDMJPY"
      },
      "accessRights": "public"
    },
    {
      "title": "Coral microplastic ingestion and calyx size data used for model development",
      "description": "The dataset include ingestion data of microplastics by four Atlantic coral species. Ingestion data are reported as proportions from 0-1 from microplastics offered to each coral fragment. Additionally, the dataset include calyx measurements from all coral species. \n\nThis dataset is associated with the following publication:\nHankins, C., S. Raimondo, and D. Lasseigne. Microplastic ingestion by coral as a function of the interaction between calyx and microplastic size..   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 810: 152333, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523125",
      "keyword": [
        "coral microplastic ingestion calyx model"
      ],
      "contactPoint": {
        "fn": "Cheryl Hankins",
        "hasEmail": "mailto:hankins.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "MP_Retention_Observations_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523125/MP_Retention_Observations_SciHub.xlsx",
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    {
      "title": "Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study",
      "description": "Dataset for journal article \"Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study\". \n\nThis dataset is associated with the following publication:\nBoyce, M., B. Meyer, C. Grulke, L. Lizarraga, and G. Patlewicz. Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 21: 100208, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524371",
      "keyword": [
        "in silico",
        "Metabolism",
        "Read-across",
        "new approach methodologies"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-15",
      "references": [
        "https://doi.org/10.1016/j.comtox.2021.100208"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Land Occupation Totals By Industry 2012 v1.1",
      "description": "This dataset contains 2012 national-level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing \"Land_national_2012\" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524314",
      "keyword": [
        "EIO",
        "LCA database",
        "life cycle model",
        "EEIO",
        "NAICS",
        "Python",
        "land use",
        "FLOWSA"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Land_national_2012_v1.0.1_0470867.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Land_national_2012_v1.0.1_0470867.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Land_national_2012_v1.0.1_0470867.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524314/Land_national_2012_v1.0.1_0470867.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-22",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7",
        "https://pasteur.epa.gov/uploads/10.23719/1524314/documents/Land_national_2012_v1.0.1_0470867_metadata.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/0470867ab82005290ce471aadcee442952a5c609/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO v2.0.1-411",
      "description": "This dataset provides the waste sector disaggregation data, model component matrices, model result matrices, model price adjustment matrices, demand vectors,  and associated metadata for the USEEIO v2.0.1-411 model. This model was generated using useeior v1.0.0 (https://github.com/USEPA/useeior/tree/v1.0.0/) by calling the buildModel() function and passing \"USEEIOv2.0.1-411\" as the model. This uses the model configuration file, which can be found @ https://github.com/USEPA/useeior/blob/v1.0.0/inst/extdata/modelspecs/USEEIOv2.0.1.yml.  The model is named according to the USEEIO model versioning scheme, https://github.com/USEPA/USEEIO/blob/8a43f7f5f847fe1ca6dadca3c433bceb3f29981b/VersioningScheme.md. The resulting model was exported using the writeModeltoXLSX() function to create this dataset. The waste disaggregation data are required for model building and also embedded in useeior. The generateModelIdentifier() function was used on the same model create the model identifier. The US dollar (USD) year for the model data, where USD is used, is 2012. See any additional notes in Contents on specific components. A complete description can be found in the associated manuscript. \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524311",
      "keyword": [
        "life cycle assessment",
        "carbon footprint tool",
        "input-output",
        "environmental input-output",
        "EEIO",
        "EIO",
        "US production",
        "US consumption"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv2.0.1-411.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524311/USEEIOv2.0.1-411.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Water Withdrawal Totals By Industry 2015 v1.1",
      "description": "This dataset contains 2015 national-level water withdrawal by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the getFlowBySector() function and passing \"Water_national_2015_m1\" as the method name. FLOWSA is a publicly available python package that generates standardized environmental flows by industry (https://github.com/USEPA/flowsa/releases/tag/v1.0.0). The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., M. Li, B. Young, J. Vendries, and C. Birney. USEEIO v2.0, The US Environmentally-Extended InputOutput Model v2.0.   Scientific Data. Springer Nature Group, New York, NY,   194, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524312",
      "keyword": [
        "EIO",
        "LCA database",
        "life cycle model",
        "EEIO",
        "NAICS",
        "Python",
        "FLOWSA"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Water_national_2015_m1_v1.0.1_0470867.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Water_national_2015_m1_v1.0.1_0470867.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Water_national_2015_m1_v1.0.1_0470867.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524312/Water_national_2015_m1_v1.0.1_0470867.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-22",
      "references": [
        "https://doi.org/10.1038/s41597-022-01293-7",
        "https://pasteur.epa.gov/uploads/10.23719/1524312/documents/Water_national_2015_m1_v1.0.1_0470867_metadata.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/0470867ab82005290ce471aadcee442952a5c609/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Characterizing Nitrogen Oxides and Fine Particulate Matter Near Major Highways in the United States Using the National Near-Road Monitoring Network\"",
      "description": "This dataset represents the raw hourly, daily, and design value data used in this article.  All of the data was downloaded from EPA's Air Quality System (AQS) with the exception of the list of near-road sites which was downloaded from https://www.epa.gov/amtic/no2-monitoring-near-road-monitoring.  The datasets are named based on their AQS parameter code (see https://www.epa.gov/aqs/aqs-code-list), averaging time, and years included. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522897",
      "keyword": [
        "near-road",
        "fine particulate matter (PM2.5)",
        "nitrogen dioxide NO2"
      ],
      "contactPoint": {
        "fn": "Brett Gantt",
        "hasEmail": "mailto:gantt.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522897/ScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-19",
      "references": [
        "https://dx.doi.org/10.1021/acs.est.0c05851"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Van Genderen at al. 2020 Supplemental Information Data",
      "description": "Van Genderen at al. 2020 Supplemental Information Data is an Excel database for demonstrating Zn case study for associated journal article Best Practices for Derivation and Application of Thresholds for Metals Using Bioavailability‐Based Approaches, https://doi.org/10.1002/etc.4559. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518516",
      "keyword": [
        "Bioavailability‐Based Approaches",
        "Thresholds for Metals",
        "zinc"
      ],
      "contactPoint": {
        "fn": "Diana Eignor",
        "hasEmail": "mailto:eignor.diana@epa.gov"
      },
      "distribution": [
        {
          "title": "Van Generden et al. 2020 Supplemental Information Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518516/Van%20Generden%20et%20al.%202020%20Supplemental%20Information%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-01",
      "references": [
        "https://dx.doi.org/10.1002/etc.4559",
        "https://pasteur.epa.gov/uploads/10.23719/1518516/documents/Van%20Genderen%20et%20al.%202020%20Supplemental%20Information%20Text.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1518516/documents/Van%20Genderen%20et%20al.%202020.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Shell Day Data",
      "description": "“Shell Day” was a single-day regional water monitoring event coordinating simultaneous coastal carbonate chemistry observations by 59 community science programs and 7 research institutions in the northeastern United States, in which 410 total alkalinity (TA) samples from 86 stations were collected. Samples were collected at low, mid, and high tide by community science volunteers and brought to partnering research laboratories for sample processing. Minimum requirements for participation in Shell Day were the capacity to measure water temperature and salinity – some organizations used thermometers and refractometers, and others used multiparameter datasondes or handheld units. An analysis and interpretation of the temperature, salinity, and total alkalinity data can be found at Rheuban et al 2020 Environ. Res. Lett. in press https://doi.org/10.1088/1748-9326/abcb39. Included in this dataset are measurements of water temperature, salinity, total alkalinity, pH, dissolved oxygen concentration, dissolved oxygen saturation, total depth, secchi disk depth, chlorophyll, turbidity, as well as air temperature and barometric pressure, and qualitative assessments of wind, weather, and cloud cover. \n\nThis dataset is associated with the following publication:\nRheuban, J.E., P. Gassett, D.C. Mccorkle, C. Hunt, M. Liebman, C. Bastidas, K. O’Brien-Clayton, A. Pimenta, E. Silva, P. Vlahos, R. Woosley , J. Ries, C. Liberti, J. Grear, J. Salisbury, D. Brady, K. Guay, M. LaVigne, A. Strong, E. Stancioff, and E. Turner. Synoptic Assessment of Coastal Total Alkalinity through Community Science.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16: 024009, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522631",
      "keyword": [
        "water temperature",
        "pH",
        "dissolved oxygen concentration",
        "turbidity",
        "coastal acidification",
        "dissolved oxygen saturation",
        "secchi disk depth",
        "salinity",
        "total alkalinity",
        "total depth",
        "Ocean acidification",
        "water quality",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Adam Pimenta",
        "hasEmail": "mailto:pimenta.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.4211/hs.4364cffedc7e49d49255eef5f8e83148",
          "accessURL": "https://doi.org/10.4211/hs.4364cffedc7e49d49255eef5f8e83148",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-24",
      "references": [
        "https://doi.org/10.1088/1748-9326/abcb39"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Puerto Rico 2018 Tapwater Pilot Study Endocrine Bioassay Screening",
      "description": "Tapwater samples from residential and commercial sites were sampled in Puerto Rico in August 2018 in a pilot study. All samples were screened using estrogen, androgen and glucocorticoid in vitro bioassay screening tools to test for biological activity. \n\nThis dataset is associated with the following publication:\nBradley, P., I. Padilla, K. Romanok, K. Smalling, M. Focazio, S. Breitmeyer, M. Cardon, J. Conley, N. Evans, C. Givens, J. Gray, L. Gray, P. Hartig, C. Higgins, M. Hladik, L. Iwanowicz, R. Lane, K. Loftin, R.B. McCleskey, C. McDonough, E. Medlock Kakaley, S. Meppelink, and C. Weis. Pilot-scale expanded assessment of inorganic and organic tapwater exposures and predicted effects in Puerto Rico, USA.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 788(147721): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520593",
      "keyword": [
        "tapwater",
        "organics",
        "inorganics",
        "disinfection byproducts",
        "in vitro bioassays"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Bioassay Supporting Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520593/Bioassay%20Supporting%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-09",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.147721"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520593/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Bisphenol A and triclosan levels in individual food items",
      "description": "Bisphenol A and triclosan levels in individual food items consumed by 50 adults over six-weeks. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Downloading a copy of this future manuscript from the Internet as the original data values are provided. Format: Exposure of 50 adults to bisphenol A and triclosan in individual food items over six-weeks. \n\nThis dataset is associated with the following publication:\nMorgan, M., and M. Clifton. Dietary Exposures and Intake Doses to Bisphenol A and Triclosan in 188 Duplicate-Single Solid Food Items Consumed by US Adults.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 18(8): 4387, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503378",
      "keyword": [
        "Bisphenol A",
        "Triclosan",
        "consumer products",
        "diet",
        "exposure",
        "adults"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2018-09-01",
      "references": [
        "https://doi.org/10.3390/ijerph18084387"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Potential for electric vehicle adoption to mitigate extreme air quality events in China study dataset (please contact Dr. Jordan Schnell (jordan.schnell@noaa.gov) to obtain a copy of the data)",
      "description": "simulation results. This dataset is not publicly accessible because: I don't own the data. It can be accessed through the following means: Please contact Dr. Jordan Schnell (jordan.schnell@noaa.gov) to obtain a copy of the data. Format: N/A. \n\nThis dataset is associated with the following publication:\nSchnell, J., D. Peters, D. Wong, X. Lu, H. Gao, H. Zhang, P. Kinney, and D. Horton. Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China.   Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(2): e2020EF001788, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519259",
      "keyword": [
        "Electric Vehicles",
        "air pollution",
        "Ozone",
        "PM25"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2020-08-20",
      "references": [
        "https://doi.org/10.1029/2020ef001788"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "burnpit dataset_gilmour",
      "description": "excell spreadsheet. \n\nThis dataset is associated with the following publication:\nKim, Y.H., S. Warren, I. Kooter, W. Williams, I. George, S. Vance, M. Hays, M. Higuchi, S. Gavett, D. Demarini, I. Jaspers, and M. Gilmour. Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 18(1): 45, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522650",
      "keyword": [
        "toxicity burnpit mice combustion air pollution mutagenicity"
      ],
      "contactPoint": {
        "fn": "Matthew Gilmour",
        "hasEmail": "mailto:gilmour.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Research Data_SDMP.FY21.154.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522650/Research%20Data_SDMP.FY21.154.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-23",
      "references": [
        "https://doi.org/10.1186/s12989-021-00435-w",
        "https://pasteur.epa.gov/uploads/10.23719/1522650/documents/Research%20Data_SDMP.FY21.154.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying and Evaluating Vapor Intrusion through Preferential Migration Routes and Points of Entry into Buildings",
      "description": "All data for the EPA Report, Identifying and Evaluating Vapor Intrusion through Preferential Migration Routes and Points of Entry into Buildings.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523393",
      "keyword": [
        "vapor intrusion",
        "exposure",
        "mitigation",
        "volatile chemicals"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "MasterSampleID RARE VI Path.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523393/MasterSampleID%20RARE%20VI%20Path.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ALL_RARE_Vapor_Intrusion_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523393/ALL_RARE_Vapor_Intrusion_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Examining PM2.5 concentrations and exposure using multiple models: Dataset",
      "description": "The data files correspond to the figures in the manuscript and can be read into the open-source R software using standard commands (e.g., data <- readRDS('filename.rds') ). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520487",
      "keyword": [
        "pm2.5",
        "air quality modeling",
        "ensemble modeling",
        "exposure inequality"
      ],
      "contactPoint": {
        "fn": "James Kelly",
        "hasEmail": "mailto:kelly.james@epa.gov"
      },
      "distribution": [
        {
          "title": "PM_modeling_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520487/PM_modeling_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-13",
      "references": [
        "https://dx.doi.org/10.1016/j.envres.2020.110432"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520487/documents/data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Mimicking atmospheric photochemical modeling with a deep neural network",
      "description": "Air quality modeling for China. This dataset is not publicly accessible because: Data was generated and owned by Tsinghua University. It can be accessed through the following means: Data can be accessed from lead author at Tsinghua University: xingjia@tsinghua.edu.cn. Format: Air quality modeling data for China. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524265",
      "keyword": [
        "Atmospheric photochemistry",
        "Ozone",
        "emissions",
        "Meteorology",
        "Chemical transport model",
        "Deep learning"
      ],
      "contactPoint": {
        "fn": "James Kelly",
        "hasEmail": "mailto:kelly.james@epa.gov"
      },
      "distribution": [],
      "modified": "2021-11-13",
      "references": [
        "https://dx.doi.org/10.1016/j.atmosres.2021.105919"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes",
      "description": "The dataset contains information on medical history, residential information and demographic information on CATHGEN participants as well as modeled PM2.5 values at participants' residence. This dataset is not publicly accessible because: The data are human subjects data containing potential identifiable information (PII) and therefore access is restricted to the study investigators. Because base data are owned by other entities, these data need to be requested directly from Duke University. It can be accessed through the following means: These data can accessed upon request to the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secure EPA drives. \n\nThis dataset is associated with the following publication:\nWeaver, A., L. McGuinn, L. Neas, J. Mirowsky, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, Q. Di, J. Schwartz, and D. Diaz-Sanchez. Neighborhood sociodemographic effects on the associations between long-term PM2.5 exposure and cardiovascular outcomes and diabetes.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 3(1): e038, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1502539",
      "keyword": [
        "Environmental Justice",
        "air pollution",
        "Hypertension",
        "cardiovascular disease"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502539/documents/Final%20data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Air Pollution and Health in the Jackson Heart Study: a Cohort of African Americans in Jackson, Mississippi",
      "description": "Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data may be requested through the Jackson Heart Study. Format: Data include individual-level health data, including results from cardiovascular tests and medical history. This is linked to air quality data at participants' residence. Since these data contain PII, they cannot be released to ScienceHub. \n\nThis dataset is associated with the following publications:\nWeaver, A., A. Bidulescu, G. Wellenius, D. Hickson, M. Sims, A. Vaidyanathan, W. Wu, A. Correa, and Y. Wang. Associations between Air Pollution Indicators and Prevalent and Incident Diabetes among African American Participants in the Jackson Heart Study.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 5(3): e140, (2021).\nWeaver, A., Y. Wang, G. Wellenius, A. Bidulescu, M. Sims, A. Vaidyanathan, D. Hickson, D. Shimbo, M. Abdalla, K. Diaz, and S. Seals. Long-Term Air Pollution and Blood Pressure in an African American Cohort: The Jackson Heart Study.   American Journal of Preventive Medicine. Elsevier B.V., Amsterdam,  NETHERLANDS, 60(3): 397-405, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504594",
      "keyword": [
        "air pollution",
        "cardiovascular disease",
        "African American",
        "diabetes",
        "Hypertension"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2019-10-01",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000140",
        "https://doi.org/10.1016/j.amepre.2020.10.023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data for Investigating Exposure to Agrochemical Mixtures in Amphibians",
      "description": "GC/MS data resulting from the metabolomic analysis of amphibian livers following exposure to common agrochemicals (fertilizer and pesticides) and their mixtures. \n\nThis dataset is associated with the following publication:\nVan Meter, R.J., D. Glinski, T. Purucker, and M. Henderson. Induced Hepatic Glutathione and Metabolomic Alterations Following Mixed Pesticide and Fertilizer Exposures in Juvenile Leopard Frogs (Lithobates sphenocephala).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(1): 122-133, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520491",
      "keyword": [
        "agrochemicals",
        "pesticides",
        "amphibians",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "HendersonWilliamM_A-rxx7_Dataset_20201116_Agrochemicals.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520491/HendersonWilliamM_A-rxx7_Dataset_20201116_Agrochemicals.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-23",
      "references": [
        "https://doi.org/10.1002/etc.5245"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520491/documents/HendersonWilliamM_A-rxx7_DataDictionary_20201116.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Conley_2021_NBP2_Dev_tox_Dataset_2022-1-10.xlsx",
      "description": "Dataset contains summary data (mean +/- error) for all endpoints measured in published studies. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, E. Medlock Kakaley, D. Jenkins-Hill, J. McCord, M. Strynar, L. Wehmas, S. Hester, D. Macmillan, and L. Gray. Developmental toxicity of Nafion byproduct 2 (NBP2) in the Sprague-Dawley rat with comparisons to hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) and perfluorooctane sulfonate (PFOS).   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 160(107056): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524464",
      "keyword": [
        "Drinking water contaminants",
        "in vivo",
        "Children's Environmental Health",
        "health effects",
        "PFAS",
        "Adverse Outcome Pathways (AOPs)",
        "Decreased Birth Weight",
        "Thyroid Disrupting Agent"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE192589",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE192589",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0160412021006814-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0160412021006814-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Conley_2021_NBP2_Dev_tox_Dataset_2022-1-10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524464/Conley_2021_NBP2_Dev_tox_Dataset_2022-1-10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-10",
      "references": [
        "https://doi.org/10.1016/j.envint.2021.107056"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Generated During Crystal Quartz Micro-Balance Studies of Corroding Copper Surfaces",
      "description": "\n\nThis dataset is associated with the following publication:\nTang, M., S. Harmon, M. Nadagouda, and D. Lytle. Quartz Crystal Microbalance with Dissipation: A New Approach of Examining Corrosion of New Copper Surfaces in Drinking Water.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(16): 11265-11273, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519152",
      "keyword": [
        "Quartz crystal microbalance with dissipation (QCMD) monitoring",
        "copper corrosion",
        "water pH",
        "Orthophosphate",
        "surface characterization"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Clearance 07-30-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519152/Data%20Clearance%2007-30-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-30",
      "references": [
        "https://doi.org/10.1021/acs.est.1c02220",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795246"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Erie HABs Grab research",
      "description": "The dataset contains the raw data used for the correlation analyses. \n\nThis dataset is associated with the following publications:\nSchaeffer, B., J. SantoDomingo, and B. Kreakie. SSWR 4.3 Tools for HABs Risk Characterization and Assessment​ FY20 Report. U.S. Environmental Protection Agency, Washington, DC, USA.\nChaffin, J., J. Bratton, E. Verhamme, H. Bair, A. Beecher, C. Binding, J. Birbeck, T. Bridgeman, X. Chang, J. Crossman, W. Currie, T. Davis, G. Dick, K. Drouillard, R. Errera, T. Frenken, H. MacIsaac, A. McClure, R.M. McKay, L. Reitz, J. SantoDomingo, K. Stanislaawczyk, R. Stumpf, Z. Swan, B. Synder, J. Westrick, P. Xue, C. Yancey, A. Zastepa, and X. Zhou. The Lake Erie HABs Grab: A binational collaboration to characterize the western basin cyanobacterial harmful algal blooms at an unprecedented high-resolution spatial scale.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 108: 102080, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520911",
      "keyword": [
        "cyanobacteria",
        "CyanoHABs",
        "metagenomics"
      ],
      "contactPoint": {
        "fn": "Jorge Santo Domingo",
        "hasEmail": "mailto:santodomingo.jorge@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw data for metric correlation Chaffin et al HABS Grab.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520911/Raw%20data%20for%20metric%20correlation%20Chaffin%20et%20al%20HABS%20Grab.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-01",
      "references": [
        "https://doi.org/10.1016/j.hal.2021.102080"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biological Measurements for Dosed Model Organism",
      "description": "Serum PFAS concentrations, pup weights, liver histopathology measurements, lipid panels, fasting insulin measurements. This dataset is not publicly accessible because: Data is the property of NIH. It can be accessed through the following means: Contact Suzanne Fenton for data (suzane.fenton@nih.gov). Format: Data stored in excel database format. \n\nThis dataset is associated with the following publication:\nCope, H.A., B.E. Blake, C. Love, J. McCord, S.A. Elmore, J.B. Harvey, V.A. Chappell, and S.E. Fenton. Latent, sex-specific metabolic health effects in CD-1 mouse offspring exposed to PFOA or HFPO-DA (GenX) during gestation.   Emerging Contaminants. Elsevier B.V., Amsterdam,  NETHERLANDS, 7: 219-235, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521109",
      "keyword": [
        "HFPO-DA",
        "PFOA",
        "PFAS",
        "Metabolism",
        "sex-specific effects"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2021-03-10",
      "references": [
        "https://doi.org/10.1016/j.emcon.2021.10.004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USGS Feral Swine Dataset",
      "description": "The dataset contains quantitative polymerase chain reaction data for microbial source tracking markers screened on water samples collected from streams and rivers within and bounding Congaree National Park from samples collected throughout the year from December 2017 through June 2019. The number of samples collected per event ranged from 4-16 over the span of 11 sample events. This dataset is not publicly accessible because: Data belongs to USGS. It can be accessed through the following means: Anna McKee, amckee@usgs.gov. Format: Data is contained in a csv file with accompanying metadate xml file. \n\nThis dataset is associated with the following publication:\nMcKee, A.M., P.M. Bradley, D. Shelley, S. McCarthy, and M. Molina. Feral swine as sources of fecal contamination in recreational waters.   Scientific Reports. Nature Publishing Group, London,  UK, 11: 4212, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520760",
      "keyword": [
        "Microbial Source Tracking",
        "national park",
        "e.coli",
        "FIB",
        "beach action value"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-10",
      "references": [
        "https://doi.org/10.1038/s41598-021-83798-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Copyright images from Digital Globe WorldView satellite",
      "description": "Copyright images from Digital Globe WorldView satellite. This dataset is not publicly accessible because: Copyright images from Digital Globe WorldView satellite. It can be accessed through the following means: Copyright images from Digital Globe WorldView satellite. Format: Copyright images from Digital Globe WorldView satellite. \n\nThis dataset is associated with the following publication:\nAminul Islam, K., V. Hill, B. Schaeffer, R. Zimmerman, and J. Li. Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas.   Data Science and Engineering. Springer Nature Group, New York, NY,  5: 111–125, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518473",
      "keyword": [
        "satellite",
        "seagrass",
        "estuary",
        "remote sensing",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-24",
      "references": [
        "https://doi.org/10.1007/s41019-020-00126-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cyanobacterial frequency at drinking water intakes",
      "description": "This study presents the first large-scale assessment of cyanobacterial frequency and abundance at surface drinking water intakes across the United States. Public water systems serve drinking water to nearly 90% of the United States population. Cyanobacteria and their toxins may degrade the quality of finished drinking water and can lead to negative health consequences. Satellite imagery can serve as a cost-effective and consistent monitoring technique for surface cyanobacterial blooms in source waters and can provide drinking water treatment operators information for managing their systems. This study uses satellite imagery from the European Space Agency’s Ocean and Land Colour Instrument (OLCI) spanning June 2016 through April 2020. At 300-m spatial resolution, OLCI imagery can be used to monitor cyanobacteria in 685 drinking water sources across 285 lakes in 44 states. First, a subset of satellite data was compared to a subset of 99 responses submitted as part of the U.S. Environmental Protection Agency’s fourth Unregulated Contaminant Monitoring Rule (UCMR 4). These UCMR 4 quantitative responses included visual observations of algal bloom presence and absence near drinking water intakes from March 2018 through November 2019. Overall agreement between satellite imagery and UCMR 4 qualitative responses was high at over 94% with a Kappa coefficient of 0.70. Next, temporal frequency of cyanobacterial blooms at all resolvable drinking water sources was assessed. In 2019, bloom frequency averaged 2% and peaked at 100%, where 100% indicated a bloom was always present at the source waters when satellite imagery was available. Monthly cyanobacterial abundances were used to assess short-term trends across all resolvable drinking water sources. Generally, 2016-2020 was an insufficient time period for observing changes at these source waters; On average, a decade of data would be required for observed trends to outweigh variability in the data. However, five source waters did demonstrate a sustained short-term trend, with one increasing in cyanobacterial abundance from June 2016 to April 2020 and four decreasing. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Katherine Foreman, Office of Ground Water and Drinking Water. Format: Assessing temporal frequency of cyanobacterial blooms at drining water intakes using imagery from the Sentinel-3A satellite sensor. \n\nThis dataset is associated with the following publication:\nCoffer, M., B. Schaeffer, K. Foreman, A. Porteous, K.A. Loftin, R.P. Stumpf, P.J. Werdell, E. Urquhart, R. Albert, and J. Darling. Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 201: 117377, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520871",
      "keyword": [
        "cyanobacteria",
        "drinking water",
        "source water quality",
        "remote sensing",
        "inland water",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-02-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.117377"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Summary dataset for biomarkers, PCB congeners, and microRNAs measured in serum and associations of these data for the Anniston Community Health Survey I (ACHS-I).",
      "description": "These data are summaries of pro-inflammatory cytokine and insulin resistance serum biomarkers; necrotic liver disease defined by serum keratin 18 (K18) biomarkers. Associations were determined between exposure biomarkers (thirty-five ortho-substituted PCB congeners) and disease biomarkers (miRs); and Ingenuity Pathway Analysis was performed. Note to protect individual molecular information, only summaries of the data are presented. \n\nThis dataset is associated with the following publication:\nCave, M., C. Pinkston, S. Rai, B. Wahlang, M. Pavuk, K. Head, G. Carswell, G. Nelson, C. Klinge, D. Bell, L. Birnbaum, and B. Chorley. Circulating MicroRNAs, Polychlorinated Biphenyls, and Environmental Liver Disease in the Anniston Community Health Survey.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(1): 017003, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520775",
      "keyword": [
        "biomarkers of effect",
        "microRNAs",
        "Human Exposure",
        "Polychlorinated biphenyls (PCBs)",
        "fatty liver disease",
        "serum"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "IPA miRNA analysis tox functions.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520775/IPA%20miRNA%20analysis%20tox%20functions.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ACHS I miR Summaries + Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520775/ACHS%20I%20miR%20Summaries%20%2B%20Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-10",
      "references": [
        "https://doi.org/10.1289/ehp9467"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways",
      "description": "Water-borne contaminants were monitored in 69 tributaries of the Laurentian Great Lakes in 2010 and 2014 using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS).  Analyses included 185 chemicals (143 detected) including PAHs, legacy and current-use pesticides, fire retardants, pharmaceuticals, fragrances, and others.  Hazard quotients were calculated by dividing detected concentrations by biological effect concentrations reported in the ECOTOX Knowledgebase (Toxicity quotients, TQs) or ToxCast database (Exposure Activity Ratios, EARs). \n\nThis dataset is associated with the following publication:\nAlvarez, D., S. Corsi, L. De Cicco, D. Villeneuve, and A. Baldwin. Identifying chemicals and mixtures of potential biological concern detected in passive samplers from Great Lakes tributaries using high-throughput data and biological pathways.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,   ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520623",
      "keyword": [
        "Great Lakes Restoration Initiative",
        "Passive Sampling",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9F5FFZX.",
          "accessURL": "https://doi.org/10.5066/P9F5FFZX.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-12-23",
      "references": [
        "https://doi.org/10.1002/etc.5118"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ex-R Study Urine Data",
      "description": "Emory University (analyzed the urine samples for pyrethroid metabolites). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Researcher. Format: Pyrethroid metabolite concentration data for 50 adults over six-weeks. \n\nThis dataset is associated with the following publication:\nMorgan , M., J. Sobus , D.B. Barr, C. Croghan , F. Chen , R. Walker, L. Alston, E. Andersen, and M. Clifton. Temporal variability of pyrethroid metabolite levels in bedtime, morning, and 24-hr urine samples for 50 adults in North Carolina.   ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 144: 81-91, (2015).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502612",
      "keyword": [
        "pyrethroids",
        "adults",
        "urine",
        "homes",
        "biomonitoring",
        "variability"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2015-08-22",
      "references": [
        "https://doi.org/10.1016/j.envres.2015.11.003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Beasley_Impacts of a perinatal exposure to manganese coupled with maternal stress in rats:  Maternal somatic measures and the postnatal growth and development of rat offspring_data_V1",
      "description": "Data set for the neurodevelopmental and somatic impacts of a perinatal exposure to stress coupled with Mn exposure on dams and their offspring. \n\nThis dataset is associated with the following publication:\nBeasley, T., K. McDaniel, W. Oshiro, V. Moser, D. MacMillan, and D. Herr. Impacts of a perinatal exposure to manganese coupled with maternal stress in rats:  Maternal somatic measures and the postnatal growth and development of rat offspring.   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 90(107061): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523098",
      "keyword": [
        "manganese",
        "perinatal stress",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Tracey Beasley",
        "hasEmail": "mailto:beasley.tracey@epa.gov"
      },
      "distribution": [
        {
          "title": "Beasley_MnStress_manuscript data_V1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523098/Beasley_MnStress_manuscript%20data_V1.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-08",
      "references": [
        "https://doi.org/10.1016/j.ntt.2021.107061"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Base Cation Weathering Dataset_Whitfield et al 2018_SHC 4.61.4",
      "description": "This dataset supports the publication Whitfield et al. (2018) (https://doi.org/10.1007/s11270-018-3691-7). The dataset is a compilation of the estimated base cation weathering rates (BCw) for 44 sites in Pennsylvania under a variety of assumptions to explore key sources of uncertainty in estimates of BCw. BCw is a key variable in the estimates of thresholds (termed \"critical loads\") of acidification of terrestrial and aquatic ecosystems from atmospheric deposition of NOx and SOx. \n\nThis dataset is associated with the following publication:\nWhitfield, C., J. Phelan, J. Buckley, C. Clark, S. Guthrie, and J. Lynch. Estimating Base Cation Weathering Rates in the USA: Challenges of Uncertain Soil Mineralogy and Specific Surface Area with Applications of the PROFILE Model.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 229(61): 1-15, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1500911",
      "keyword": [
        "air quality",
        "NAAQS",
        "Secondary Standard",
        "critical loads",
        "nitrogen deposition",
        "sulfur deposition",
        "acidification",
        "ecological risk"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "WASP2018_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1500911/WASP2018_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-05-31",
      "references": [
        "https://doi.org/10.1007/s11270-018-3691-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Arsenic Concentrations in Drinking Water from Community Water Systems and Associations with Bladder, Colorectal, and Kidney Cancers, Accounting for Population Served",
      "description": "This is a linked dataset between drinking water data and cancer data.\n\nDrinking Water Data: County-level concentrations of arsenic from CWSs between 2000 and 2010 were collected from the Center for Disease Control and Prevention’s (CDC) National Environmental Public Health Tracking Network (NEPHTN) (Centers for Disease Control and Prevention, 2018a). Annual mean drinking water arsenic concentrations from 2000 to 2010 were available for a total of 87,662 samples from 75,453 CWS from 26 states, representing 1,425 counties. For samples identified as non-detects, the most frequently reported values were 0.5 ppb and 1 ppb, with a range of 0 ppb to 10 ppb. For non-detect samples reported as zero, the value was substituted with a constant of 0.25 ppb (Almberg et al., 2017; Bulka et al., 2016). Of the samples that were reported as non-detects, 10.87% were reported as zeros. \n\nCancer Data: County-level cancer counts and incidence rates for bladder, colorectal, and kidney cancers were acquired from the National Cancer Institute (NCI) and CDC’s State Cancer Profiles for 2011 through 2015 for adults (age ≥ 50) to match the counties with exposure data (National Cancer Institute and Centers for Disease Control and Prevention, 2018a). We utilized the time period 2011-2015 to provide a lag following the exposure period of 2000-2010. The State Cancer Profiles provide age-adjusted county-level cancer incidence, prevalence, mortality rates and average annual counts for 20 different types of cancers and select demographics (National Cancer Institute and Centers for Disease Control and Prevention, 2018b). Counties where there were less than 16 reported cases in a specific county, sex, and/or race category were suppressed to ensure confidentiality and stability of rate estimates (National Cancer Institute and Centers for Disease Control and Prevention, 2018a). \n\nThis dataset is associated with the following publication:\nKrajewski, A., M. Jimenez, K. Rappazzo, D. Lobdell, and J. Jagai. Aggregated Cumulative County Arsenic in Drinking Water and Associations with Bladder, Colorectal, and Kidney Cancers, Accounting for Population Served.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 31(6): 979-989, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504232",
      "keyword": [
        "water contaminants",
        "cancer",
        "arsenic",
        "Disinfection Byproducts (DBPs)"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Arsenic_Cancer_Final_2020Sept2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504232/Arsenic_Cancer_Final_2020Sept2.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-19",
      "references": [
        "https://doi.org/10.1038/s41370-021-00314-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1504232/documents/Data_Dictionary_Arsenic_Cancer_Final_2020Sept2.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "A spatially explicit, empirical estimate of biological nitrogen fixation in forests of the United States",
      "description": "The supplementary information provides details on the methods used to find the basal area-BNF rate regression, the specific literature that was used to derive both these regressions and the %Ndfa for different genera. The text describes further methods used to compare previous global estimates of BNF to the conterminous US scale and to examine the relevance of P. contorta as an additional source of N. \n\nThis dataset is associated with the following publication:\nStaccone, A., W. Liao, S. Perakis, J. Compton, C. Clark, and D. Menge. A spatially explicit, empirical estimate of tree-based biological nitrogen fixation in forests of the United States.   Global Biogeochemical Cycles. American Geophysical Union, Washington, DC, USA, 42(2): e2019GB006241, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518522",
      "keyword": [
        "nitrogen",
        "streams",
        "rivers",
        "monitoring",
        "watersheds",
        "N inputs"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019GB006241&file=gbc20957-sup-0004-Text_SI-S01.docx",
          "accessURL": "https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2019GB006241&file=gbc20957-sup-0004-Text_SI-S01.docx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-02-05",
      "references": [
        "https://doi.org/10.1029/2019gb006241"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Consumer-oriented phosphorus and nitrogen footprints for the U.S.",
      "description": "The P footprint approach described here emulates the N footprint approach described by Leach et al (2012), with updated (circa 2013-2015 ) values for N from Leach et al (submitted). The N footprint is defined as the N release associated with food and energy consumption, where food consumption is comprised of emissions associated with the food production chain and the treatment of human excreta after consumption. Here we focus both N and P footprints only on agricultural production, food processing, food waste, and sewage components (herein collectively the ‘food footprint’) .\n\nLeach A M, Galloway J N, Bleeker A, Erisman J W, Kohn R and Kitzes J 2012 A nitrogen footprint model to help consumers understand their role in nitrogen losses to the environment Environmental Development 1 40–66. \n\nThis dataset is associated with the following publication:\nMetson, G., G. MacDonald, A. Leach, J. Compton, J. Harrison, and J. Galloway. The U.S. consumer phosphorus footprint: where do nitrogen and phosphorus diverge?.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 15: 105022, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518552",
      "keyword": [
        "environmental footprint",
        "nutrients",
        "algal blooms",
        "phosphorus",
        "water quality",
        "legacies"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Metson etal Supporting Information_P footprint_april 13_clean.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518552/Metson%20etal%20Supporting%20Information_P%20footprint_april%2013_clean.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-01",
      "references": [
        "https://doi.org/10.1088/1748-9326/aba781"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Main data files",
      "description": "Main dataset of stable isotope, analytes, and environmental parameters measured. \n\nThis dataset is associated with the following publication:\nDevereux, R., Y. Wan, J.L. Rackley, V. Fasselt, and D. Vivian. Comparative analysis of nitrogen concentrations and sources within a coastal urban bayou watershed: A multi-tracer approach.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 776: 145862, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520055",
      "keyword": [
        "nitrogen",
        "nitrogen pollution",
        "Septic system",
        "stable isotopes",
        "Sewage tracer",
        "urban streams"
      ],
      "contactPoint": {
        "fn": "Richard Devereux",
        "hasEmail": "mailto:devereux.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "supplemental info.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520055/supplemental%20info.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SHub_GI Master.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520055/SHub_GI%20Master.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Groundwater Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520055/Groundwater%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.145862"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Generalised Read-Across Prediction using genra-py ",
      "description": "Read-across (RAX) is a widely used data gap filling approach and the authors have developed a data-driven tool, called GenRA, to support expert-driven RAX. This work describes a stand-alone Python 3 package, called genra-py, which enables end-users to conduct hazard identification and point of departure (POD) estimation using GenRA. \n\nThis dataset is associated with the following publication:\nShah, I., T. Tate, and G. Patlewicz. Generalised Read-Across Prediction using genra-py.   BIOINFORMATICS. Oxford University Press, Cary, NC, USA, 37(19): 3380-3381, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520471",
      "keyword": [
        "chemical safety research",
        "pharmacokinetics",
        "curated data",
        "Models"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/i-shah/genra-py",
          "accessURL": "https://github.com/i-shah/genra-py",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-14",
      "references": [
        "https://doi.org/10.1093/bioinformatics/btab210"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Augustine, S. (2021). Multiplex Salivary Antibodies Found in Iowa Recreational Riverine Beach Study Participants Dataset.",
      "description": "The data contained in this worksheet provides the Median Fluorescence Intensity (MFI) values produced by applying the bead-based multiplex immunoassay to saliva samples serially collected during the Buffalo Shores Beach, Iowa study.  MFI data was analyzed to assess exposure patterns to multiple pathogens.  In the study, we collected an initial sample (S1) at the beach and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. Portions of this dataset are inaccessible because: The data can be included in ScienceHub. They can be accessed through the following means: Data made available online. Format: The data contained in this Excel worksheet provides the Median Fluorescence Intensity (MFI) values produced by applying the bead-based multiplex immunoassay to saliva samples serially collected during the Buffalo Shores Beach, Iowa study.  MFI data was analyzed to assess exposure patterns to multiple pathogens.  In the study, we collected an initial sample (S1) at the beach and the remaining samples (S2 and S3) were self-collected by participants 10 -14 and 30 - 40 days later, respectively. \n\nThis dataset is associated with the following publication:\nAugustine, S., T. Eason, T. Wade, S. Griffin, E. Sams, K. Simmons, M. Ramudit, K. Oshima, and A. Dufour. Salivary Antibodies against Multiple Environmental Pathogens Found in Individuals Recreating at an Iowa Beach.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 18(11): 5797, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521255",
      "keyword": [
        "saliva",
        "salivary antibodies",
        "multiplex immunoassay",
        "immunoprevalence",
        "immunoconversions",
        "coinfections",
        "asymptomatic infections",
        "rapid antibody screening tools",
        "public health surviellance",
        "environmental exposures",
        "waterborne infection",
        "waterborne pathogens",
        "cytokines",
        "chemokines"
      ],
      "contactPoint": {
        "fn": "Swinburne Augustine",
        "hasEmail": "mailto:augustine.swinburne@epa.gov"
      },
      "distribution": [
        {
          "title": "Augustine_Iowa Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521255/Augustine_Iowa%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-05",
      "references": [
        "https://doi.org/10.3390/ijerph18115797"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Dynamicity of Acute Ozone-Induced Systemic Leukocyte Trafficking and Adrenal-Derived Stress Hormones",
      "description": "Ozone exposure induces neuroendocrine stress response, which causes lymphopenia. We hypothesized that ozone-induced increases in stress hormones will temporally follow changes in circulating granulocytes, monocytes and lymphocyte subpopulations. The goal of this study was to chronicle the changes in circulating stress hormones, cytokines, and leukocyte trafficking during 4-hour exposure to ozone. Male Wistar Kyoto rats were exposed to air or ozone (0.4 or 0.8 ppm) for 0.5, 1, 2, or 4 hours. After each time point, we assessed, circulating stress hormones and cytokines, lung gene expression, and live and apoptotic granulocytes, monocytes (classical and non-classical), and lymphocytes (B, Th and Tc) in blood, thymus and spleen using flow cytometry. \n\nThis dataset is associated with the following publication:\nHenriquez, A., W. Williams, S. Snow, M.C. Schladweiler, C. Fisher, M. Hargrove, D. Alewel, C. Colonna, S. Gavett, C. Miller, and U. Kodavanti. The Dynamicity of Acute Ozone-Induced Systemic Leukocyte Trafficking and Adrenal-Derived Stress Hormones.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 458(152823): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521261",
      "keyword": [
        "Inhaled pollutants",
        "Stress hormones",
        "neuroendocrine",
        "immune response",
        "classical monocytes",
        "circulating lymphocytes",
        "lung"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Henriquez Flow Paper 2021 Science Hub  04-04-2021AHC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521261/Henriquez%20Flow%20Paper%202021%20Science%20Hub%20%2004-04-2021AHC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-02",
      "references": [
        "https://doi.org/10.1016/j.tox.2021.152823"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate Change Impacts on Air Quality and Human Health",
      "description": "This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two emissions datasets.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522401",
      "keyword": [
        "air quality",
        "climate change",
        "regional climate modeling",
        "dynamical downscaling",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1518467",
          "accessURL": "https://doi.org/10.23719/1518467",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supply Chain GHG Emission Factors for US Commodities and Industries v1.1",
      "description": "Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. These factors were produced with useeior v1.0.1. See the EPA report for full details on emission factor preparation. \n\nThis dataset is associated with the following publication:\nIngwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524524",
      "keyword": [
        "life cycle models",
        "USEEIO",
        "life cycle GHG emissions",
        "US industry GHGs",
        "scope 3"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplyChainEmissionFactorsforUSIndustriesCommodities v1.1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524524/SupplyChainEmissionFactorsforUSIndustriesCommodities%20v1.1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-17",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1524524/documents/Supply%20Chain%20Factors%20Amendment%201.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Referenced Data Pertaining to Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China",
      "description": "Contact: Jia XIng, School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China. This dataset is not publicly accessible because: Model simulations were performed at Tsinghua University, China. EPA does not have any data associated with the article. It can be accessed through the following means: Contact: Jia Xing, Tsinghua University, email: xingjia@mail.tsinghua.edu.cn. Format: Model simulations were performed at Tsinghua University, China. EPA does not have any data associated with the article. \n\nThis dataset is associated with the following publication:\nZhang, S., G. Sarwar, J. Xing, B. Chu, C. Xue, A. Sarav, D. Ding, H. Zheng, Y. Mu, F. Duan, T. Ma, and H. He. Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 21(20): 15809-15826, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520720",
      "keyword": [
        "Nitrous acid",
        "Hydroxyl radical",
        "sulfate",
        "nitrate"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2021-01-06",
      "references": [
        "https://doi.org/10.5194/acp-21-15809-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Amphibian metamorphosis assays- biological & histopathological data and range finding studies",
      "description": "Five chemicals [2-ethylhexyl 4-hydroxybenzoate (2-EHHB), 4-nonylphenol-branched (4-NP), 4-tert-octylphenol (4-OP), benzyl butyl phthalate (BBP) and dibutyl phthalate (DBP) were subjected to a 21-day Amphibian Metamorphosis Assay (AMA) following OCSPP 890.1100 test guidelines. The selected chemicals exhibited estrogenic or androgenic bioactivity in high throughput screening data obtained from US EPA ToxCast models. Xenopus laevis larvae were exposed nominally to each chemical at 3.6, 10.9, 33.0 and 100 µg/L, except 4-NP for which concentrations were 1.8, 5.5, 16.5 and 50 µg/L. Endpoint data (daily or given study day (SD)) collected included:  mortality (daily), developmental stage (SD 7 and 21), hind limb length (HLL) (SD 7 and 21), snout-vent length (SVL) (SD 7 and 21), wet body weight (BW) (SD 7 and 21), and thyroid histopathology (SD 21). 4-OP and BBP caused accelerated development compared to controls at the mean measured concentration of 39.8 and 3.5 µg/L, respectively. Normalized HLL was increased on SD 21 for all chemicals except 4-NP. Histopathology revealed mild thyroid follicular cell hypertrophy at all BBP concentrations, while moderate thyroid follicular cell hypertrophy occurred at the 105 µg /L BBP concentration. Evidence of accelerated metamorphic development was also observed histopathologically in BBP-treated frogs at concentrations as low as 3.5 µg/L. Increased BW relative to control occurred for all chemicals except 4-OP. Increase in SVL was observed in larvae exposed to 4-NP, BBP and DBP on SD 21.  With the exception of 4-NP, four of the chemicals tested appeared to alter thyroid axis-driven metamorphosis, albeit through different lines of evidence, with BBP and DBP providing the strongest evidence of effects on the thyroid axis. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524527",
      "keyword": [
        "Endocrine Disruptors",
        "benzylbutyl phthalate",
        "Dibutyl Phthalate",
        "Endocrine Disruptor Screening Program (EDSP)",
        "Histopathology",
        "NF Developmental Stage"
      ],
      "contactPoint": {
        "fn": "Alaa Kamel",
        "hasEmail": "mailto:kamel.alaa@epa.gov"
      },
      "distribution": [
        {
          "title": "Amphibian metamorphosis assay-Test concentration selection and range finding studies.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524527/Amphibian%20metamorphosis%20assay-Test%20concentration%20selection%20and%20range%20finding%20studies.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Amphibian metamorphosis assay-Histopathology results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524527/Amphibian%20metamorphosis%20assay-Histopathology%20results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Amphibian metamorphosis assay-Biological data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524527/Amphibian%20metamorphosis%20assay-Biological%20data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-17",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2022.105241",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389063"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design",
      "description": "This dataset consists of example model outputs for PFAS removal by GAC. Explicit descriptions of the data can be found in the associated manuscript. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., N. Burns, D. Mobley, J. Pressman, M. Magnuson, and T. Speth. Modeling PFAS Removal Using Granular Activated Carbon for Full-Scale System Design.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(3): 04021086-1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518603",
      "keyword": [
        "PFAS",
        "drinking water treatment",
        "computational modeling"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Burkhardt_A-0rz5_SciHubDataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518603/Burkhardt_A-0rz5_SciHubDataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-30",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0001964"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Carbaryl and PWC example data used in Pollesch et al. \"Developing Integral Projection Models for Aquatic Ecotoxicology\"",
      "description": "The dataset provides growth and toxicokinetic parameters for the simulations presented in the manuscript by Pollesch et al. Developing Integral Projection Models for Aquatic Ecotoxicology. \n\nThis dataset is associated with the following publication:\nPollesch, N., K. Flynn, S. Kadlec, J. Swintek, S. Raimondo, and M. Etterson. Developing integral projection models for ecotoxicology.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 464: 109813, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504418",
      "keyword": [
        "pesticides",
        "pimephales promelas",
        "population model"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Pollesch et al Integral Projection Models.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504418/Data%20for%20Pollesch%20et%20al%20Integral%20Projection%20Models.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-13",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2021.109813"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures and Tables Torres-Vazquez et al. 2021",
      "description": "This is a zip file with all data that were used to generate the figures and tables. The zip file contains a separate zip file for each figures/table. Each individual zip file has a README file that describe the figure/table datasets.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523128",
      "keyword": [
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        "LISTOS",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Ana Torres-Vazquez",
        "hasEmail": "mailto:torres-vazquez.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "Torres-Vazquez_et_al_2021_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523128/Torres-Vazquez_et_al_2021_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2021-09-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "nkbdump2020Nov12",
      "description": "This is a dump file of the NaKnowBase - an SQL based relational database containing curated data from EPA's Office of Research and Development related to the environmental effects of engineered nanomaterials. \n\nThis dataset is associated with the following publication:\nBoyes, W., B. Beach, L. Thornton, P. Harten, H. Mortensen, and G. Chan. An EPA database on the effects of engineered nanomaterials - NaKnowBase (from the US EPA Office of Research and Development).   Scientific Data. Springer Nature Group, New York, NY,  9(12): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520603",
      "keyword": [
        "engineered nanomaterials",
        "database"
      ],
      "contactPoint": {
        "fn": "William Boyes",
        "hasEmail": "mailto:boyes.william@epa.gov"
      },
      "distribution": [
        {
          "title": "nkbdump2020Nov12.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520603/nkbdump2020Nov12.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-12",
      "references": [
        "https://doi.org/10.1038/s41597-021-01098-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Energetics and Kinetics of OH Initiated Multigenerational Autoxidation Reactions of Limonene and the Pinenes",
      "description": "The data describe the energetics and kinetics of first and second generation OH initiated autoxidation reactions (H shifts and endo cyclizations) for limonene, alpha-pinene and beta-pinene.  Ring opening reactions are quantified for the pinenes because only the ring opened products are capable of autoxidizing.  Rate constants are computed for all plausible 1st and 2nd generation autoxidation reactions. \n\nThis dataset is associated with the following publication:\nPiletic, I., and T. Kleindienst. Rates and Yields of Unimolecular Reactions Producing Highly Oxidized Peroxy Radicals in the OH-Induced Autoxidation of α-Pinene, β-Pinene, and Limonene.   JOURNAL OF PHYSICAL CHEMISTRY A. American Chemical Society, Washington, DC, USA, 126(1): 88-100, (2021).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523046",
      "keyword": [
        "Monoterpene Autoxidation",
        "Air Quality Model",
        "Highly Oxygenated Molecules",
        "computational chemistry",
        "Density functional theory"
      ],
      "contactPoint": {
        "fn": "Ivan Piletic",
        "hasEmail": "mailto:piletic.ivan@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures5.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Figures5.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-11-22_MonoterpeneOO_Rxns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-11-22_MonoterpeneOO_Rxns.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-10-13_Monoterpene-OO_RingClosure.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-10-13_Monoterpene-OO_RingClosure.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "title": "Summary_2021-09-03_RxnTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-09-03_RxnTables.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-09-01_Monoterpene-OO_RingClosure.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-09-01_Monoterpene-OO_RingClosure.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-08-25_PineneRingOpening.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-08-25_PineneRingOpening.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-07-23_MonoterpeneOO_2ndGenRxns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-07-23_MonoterpeneOO_2ndGenRxns.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Summary_2021-07-21_MonoterpeneOO_1stGenRxns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/Summary_2021-07-21_MonoterpeneOO_1stGenRxns.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-31",
      "references": [
        "https://doi.org/10.1021/acs.jpca.1c07961"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523046/documents/COMPCHEMDataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Land surface model data for Salmon River basin",
      "description": "the datasets include:\nLand surface model (VIC) simulation of historical and future streamflow data. \n\nThis dataset is associated with the following publication:\nReeder, W., F. Gariglio, R.S. Carnie, C. Tang, D. Isaak, C. Qiuwen , Y. Zhongbo, J.A. McKean, and D. Tonina. Some (Fish Might) Like It Hot: Climate and Habitat Quality Variability from Past to Future Climates.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 787: 147532, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522902",
      "keyword": [
        "variable infiltration capacity model",
        "streamflow",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [
        {
          "title": "Fishdataoutput.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522902/Fishdataoutput.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.147532"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522902/documents/land.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening\"",
      "description": "Dataset for \"Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening\". \n\nThis dataset is associated with the following publication:\nAalizadeh, R., N. Alygizakis, E. Schymanski, M. Krauss, T. Schulze, M. Ibanez, A. McEachran, A. Chao, A. Williams, P. Gago-Ferrero, A. Covaci, C. Moschet, T. Young, J. Hollender, J. Slobodnik, and N. Thomaidis. Development and Application of Liquid Chromatographic Retention Time Indices in HRMS-Based Suspect and Nontarget Screening.   Analytical Chemistry. American Chemical Society, Washington, DC, USA, 93(33): 11601-11611, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524657",
      "keyword": [
        "Suspect and Non-Targeted Screening",
        "Liquid Chromatographic Retention Time Indices",
        "mass spectrometry",
        "HRMS-based"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "SI_A2ac1c02348_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524657/SI_A2ac1c02348_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-01-27",
      "references": [
        "https://doi.org/10.1021/acs.analchem.1c02348"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PISCES-NO2-data-version 6.2.2021",
      "description": "This dataset contains data in lung function, blood lipid markers, blood vascular markers, coagulation markers, and heart rate variability markers in participants of a panel study named PISCES. The dataset also contains ambient air pollutant data during the study period. \n\nThis dataset is associated with the following publication:\nChen, H., S. Zhang, W. Shen, C. Salazar, A. Schneider, L. Wyatt, A. Rappold, D. Diazsanchez, R. Devlin, J. Samet, and H. Tong. The influence of dietary intake of omega‑3 polyunsaturated fatty acids on the association between short‑term exposure to ambient\nnitrogen dioxide and respiratory and cardiovascular outcomes among healthy adults.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 20(123): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522630",
      "keyword": [
        "omega-3 fatty acid",
        "omega-3 index",
        "nitrogen dioxide",
        "respiratory",
        "cardiovascular"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "PISCES-NO2-data-version 6.23.2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522630/PISCES-NO2-data-version%206.23.2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-22",
      "references": [
        "https://doi.org/10.1186/s12940-021-00809-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Performance of NIST SRM® 2917 with 13 Recreational Water Quality Monitoring qPCR Assays",
      "description": "qPCR assay measurements using the pilot reference material and NIST SRM 2917. \n\nThis dataset is associated with the following publication:\nWillis, J., M. Sivaganesan, R. Haugland, J. Kralj, S. Servetas, M.E. Hunter, S.A. Jackson, and O. Shanks. Performance of NIST SRM® 2917 with 13 Recreational Water Quality Monitoring qPCR Assays.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 212: 118114, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523103",
      "keyword": [
        "qPCR",
        "Microbial Source Tracking",
        "rapid fecal indicator",
        "standard control material"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Willis etal_20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523103/Willis%20etal_20xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-08",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.118114"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Computational Chemistry Data for \"Synthesis and Hydrolysis of Atmospherically Relevant Monoterpene-Derived Organic Nitrates\": 02-12-2021 and 03-01-2021",
      "description": "The data describe density functional theory (DFT) calculations of the pH dependent reaction barriers for the hydrolysis of four different monoterpene nitrates.  These data are used to predict experimental reactivities and determine the underlying chemical mechanism for organic nitrate hydrolysis. \n\nThis dataset is associated with the following publication:\nWang, Y., I. Piletic, M. Takeuchi, T. Xu, S. France, and N.L. Ng. Synthesis and Hydrolysis of Atmospherically Relevant Monoterpene-Derived Organic Nitrates.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(21): 14595-14606, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524466",
      "keyword": [
        "hydrolysis",
        "atmospheric chemistry",
        "organic nitrate",
        "computational chemistry",
        "Density functional theory",
        "Chemical Mechanism"
      ],
      "contactPoint": {
        "fn": "Ivan Piletic",
        "hasEmail": "mailto:piletic.ivan@epa.gov"
      },
      "distribution": [
        {
          "title": "NEBCalcs_apineneHN_bpineneHN_2021-02-12_DataInSI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524466/NEBCalcs_apineneHN_bpineneHN_2021-02-12_DataInSI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MonoterpeneHydrolysisBarriers_2_2021-03-01_DataInPaperAndSI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524466/MonoterpeneHydrolysisBarriers_2_2021-03-01_DataInPaperAndSI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-15",
      "references": [
        "https://doi.org/10.1021/acs.est.1c05310"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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      },
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      },
      "accessRights": "public"
    },
    {
      "title": "A Generic Pharmacokinetic Model for Quantifying Mother-to-Offspring Transfer of Lipophilic Persistent Environmental Chemicals",
      "description": "This data set includes source code files and associated data files that implement a pharmacokinetic (PK) model for lipophilic persistent environmental chemicals (LPECs) that can be used to simulate various exposure scenarios involving pregnant and nursing maternal animals and offspring. The model is described in a manuscript entitled \"A Generic Pharmacokinetic Model for Mother-to-Offspring Transfer of Lipophilic Persistent Environmental Chemicals\" by Kapraun et al.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524467",
      "keyword": [
        "pregnancy",
        "Children's Environmental Health",
        "Lactational Transfer",
        "Pharmacokinetic Model",
        "Lipophilic Persistent Environmental Chemical"
      ],
      "contactPoint": {
        "fn": "Dustin Kapraun",
        "hasEmail": "mailto:kapraun.dustin@epa.gov"
      },
      "distribution": [
        {
          "title": "RMCSim_install_instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524467/RMCSim_install_instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kapraun2022_LPEC_PK_model.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524467/Kapraun2022_LPEC_PK_model.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Kapraun2022_LPEC_PK_model_instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524467/Kapraun2022_LPEC_PK_model_instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Implementing in vitro bioactivity data to modernize priority setting of chemical inventories",
      "description": "All of the code used to analyze and report the data as well\nas build confidence in the approach is available as a supplementary\nRMarkdown report, and a tool to derive PODBioactivity and\nPODRead-Across is available as an RShiny web-application.\nThe data used in the workflow are either available on public databases\nor are included in the supplementary material to allow\nfor reproducibility of results. The results and output of the workflow\n(i.e., chemical info, PODs, etc.) are provided in the supplementary\nmaterial (available as a download from the  journal article). \n\nThis dataset is associated with the following publication:\nBeal, M., M. Gagne, S. Kulkarni, G. Patlewicz, R. Thomas, and T. Barton-Maclaren. Implementing in vitro Bioactivity Data to Modernize Priority Setting of Chemical Inventories.   ALTEX. Society ALTEX Edition, Kuesnacht,  SWITZERLAND, 39(1): 123-139, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524647",
      "keyword": [
        "high-throughput screening",
        "high-throughput toxicokinetics",
        "new approach methodologies",
        "Read-across",
        "evidence-based risk assessment"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/MarcBeal/HC-ESRAB/tree/master/DSL_Bioactivity_PODs",
          "accessURL": "https://github.com/MarcBeal/HC-ESRAB/tree/master/DSL_Bioactivity_PODs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-05-03",
      "references": [
        "https://doi.org/10.14573/altex.2106171"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Predicting the emissions of VOCs and SVOCs in source and sink materials: development of analytical model and determination of the key parameters via a boost intelligence algorithm",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains OPFRs gas-phase and surface-phase concentrations in microchambers and small chambers. \n\nThis dataset is associated with the following publication:\nZhang, X., B. Xu, Y. Wang, Z. He, H. Wang, T. Yang, Y. Tan, J. Xiong, and X. Liu. Predicting the emissions of VOCs/SVOCs in source and sink materials: Development of analytical model and determination of the key parameters.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 160: NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520462",
      "keyword": [
        "volatile organic compounds",
        "Semi-volatile organic compounds",
        "emissions",
        "boost intelligence algorithm",
        "initial emittable concentration",
        "material diffusion coefficient",
        "Material-air partition coefficient"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_A-bk43_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520462/XiaoyuLiu_A-bk43_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-03",
      "references": [
        "https://doi.org/10.1016/j.envint.2021.107064"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ring Trial Data Results ",
      "description": "RT-qPCR is used world-wide to test and trace the spread of SARS-CoV-2. “Extraction-less” or “direct” RT-PCR is an open-access qualitative method for SARS-CoV-2 detection from nasopharyngeal (NP) samples with the potential to generate actionable data more quickly, at a lower cost, and with fewer experimental resources than full RT-qPCR. This study provides novel evidence in an international, inter-laboratory ring trial about the practical utility and performance of the direct RT-PCR method with participation by ten laboratories currently experiencing many of the testing limitations. The direct method should be considered as a viable, fit-for-purpose resource to address the growing need for population monitoring during a challenging vaccination roll out and amidst the emergence of increasingly transmissible strains of SARS-CoV-2. \n\nThis dataset is associated with the following publication:\nMills, M., E. Bruce, M. Huang, J. Crothers, O. Hyrien, C.A.L. Oura, L. Blake, A. Brown Jordan, S. Hester, L. Wehmas, B. Mari, P. Barby, C. Lacoux, J. Fassy, P. Vial, C. Vial, J.R.W. Martinez, O.O. Oladipo, B. Inuwa, I. Shittu, C.A. Meseko, R. Chammas, C.F. Santos, T.J. Dionísio, T.F. Garbieri, V.A. Parisi, M.C. Mendes-Correa, A.V. dePaula, C.M. Romano, L.G.B. Góes, P. Minoprio, A.C. Campos, M.P. Cunha, A.P.P. Vilela, T. Nyirenda, R.S. Mkakosya, A.S. Muula, R.E. Dumm, R.M. Harris, C. Mitchell, S. Pettit, J. Botten, and K.R. Jerome. An international, interlaboratory ring trial confirms the feasibility of an extraction-less “direct” RT-qPCR method for reliable detection of SARS-CoV-2 RNA in clinical samples..   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(1): e0261853, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522452",
      "keyword": [
        "COVID-19",
        "international effort",
        "direct PCR",
        "Propagate Ring Trial"
      ],
      "contactPoint": {
        "fn": "Susan Hester",
        "hasEmail": "mailto:hester.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Ring_Trial_Data_results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522452/Ring_Trial_Data_results.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-03",
      "references": [
        "https://doi.org/10.1371/journal.pone.0261853"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "genomic and endocrine effects of in utero p[hthalates",
      "description": "effects of in utero phthalate and other chemical administration on male rat sexual differentiation: Non PPAR mediated AOP. \n\nThis dataset is associated with the following publication:\nGray, E., J. Conley, C. Lambright, N. Evans, J. Furr, V. Wilson, B. Hannas, P. Foster, and H. Sampson. Genomic and Hormonal Biomarkers of Phthalate-induced Male Rat Reproductive Developmental Toxicity: Part II A Targeted RT-qPCR Array Approach that Defines a Unique Adverse Outcome Pathway..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  182(2): 195-214, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521336",
      "keyword": [
        "phthalates in utero"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "SCIENCE HUB DATA ENTRY leg.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521336/SCIENCE%20HUB%20DATA%20ENTRY%20leg.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for  ORD-040059: Identification of Chemical Modulators of NF-κB Using a Gene Expression Biomarker Approach",
      "description": "Dataset used in ORD-040059: Identification of Chemical Modulators of NF-κB Using a Gene Expression Biomarker Approach that includes publicaly available microarray datasets. \n\nThis dataset is associated with the following publication:\nKorunes, K., J. Liu, R. Huang, M. Xia, K. Houck, and C. Corton. A gene expression biomarker for predictive toxicology to identify chemical modulators of NF-κB.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(2): e0261854, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520595",
      "keyword": [
        "NFkB",
        "HTTr",
        "transcript profiling",
        "inflammation",
        "immunomodulation"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for ORD-040059.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520595/Data%20submission%20for%20ORD-040059.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1371/journal.pone.0261854"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PISCES dataset-Impact of dietary omega-3 FA on the association between exposure to ambient PM2.5 or ozone and the changes in cardiovascular biomarkers-5.5.2021",
      "description": "The dataset contains data of air pollution, blood lipids, vascular injury markers, coagulation markers, and heart rate variability and repolarization markers. \n\nThis dataset is associated with the following publication:\nChen, H., S. Zhang, W. Shen, C. Salazar, A. Schneider, A. Rappold, D. Diazsanchez, R. Devlin, J. Samet, and H. Tong. Omega-3 Fatty Acids Attenuate Cardiovascular Effects of Short-term Exposure to Ambient Air Pollution.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 19(12): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522393",
      "keyword": [
        "Ambient air quality",
        "fine particulate matter (PM2.5)",
        "Ozone",
        "omega-3 fatty acid",
        "Eicosapentaenoic acid (EPA)",
        "Docosahexaenoic acid (DHA)",
        "cardiovascular effects",
        "mitigation",
        "fish oil enriched diet",
        "repeated measures"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "PISCES-cardiovascular-data-5.5.2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522393/PISCES-cardiovascular-data-5.5.2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-05",
      "references": [
        "https://doi.org/10.1186/s12989-022-00451-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TITAN_Wilkins_etal_v1",
      "description": "This data underpins the TITAN analysis in Wilkins et al. It describes the critical loads for nitrogen deposition for various species, and the community level critical loads. \n\nThis dataset is associated with the following publication:\nWilkins, K., C. Clark, and J. Aherne. Ecological thresholds under atmospheric nitrogen deposition for 1200 herbaceous species and 24 communities across the United States.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 00: 1-15, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521258",
      "keyword": [
        "critical loads",
        "nitrogen deposition",
        "NAAQS",
        "biodiversity",
        "plants",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "TITAN US individual species results_SH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521258/TITAN%20US%20individual%20species%20results_SH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-13",
      "references": [
        "https://doi.org/10.1111/gcb.16076"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Harmonization of sediment diatoms from hundreds of lakes in the northeastern United States",
      "description": "Sediment diatoms are widely used to track environmental histories of lakes and their watersheds, but merging datasets generated by different researchers for further large-scale studies is challenging because of the taxonomic discrepancies caused by rapidly evolving diatom nomenclature and taxonomic concepts. Here we collated five datasets of lake sediment diatoms from the northeastern USA using a harmonization process which included updating synonyms, tracking the identity of inconsistently identified taxa and grouping those that could not be resolved taxonomically. The Dataset consists of a Portable Document Format (.pdf) file of the Voucher Flora, six Microsoft Excel (.xlsx) data files, an R script, and five output Comma Separated Values (.csv) files. \n\nThe Voucher Flora documents the morphological species concepts in the dataset using diatom images compiled into plates (NE_Lakes_Voucher_Flora_102421.pdf) and the translation scheme of the OTU codes to diatom scientific or provisional names with identification sources, references, and notes (VoucherFloraTranslation_102421.xlsx).\n\nThe file Slide_accession_numbers_102421.xlsx has slide accession numbers in the ANS Diatom Herbarium.\n\nThe “DiatomHarmonization_032222_files for R.zip” archive contains four Excel input data files, the R code, and a subfolder “OUTPUT” with five .csv files. The file Counts_original_long_102421.xlsx contains original diatom count data in long format. The file Harmonization_102421.xlsx is the taxonomic harmonization scheme with notes and references. The file SiteInfo_031922.xlsx contains sampling site- and sample-level information. WaterQualityData_021822.xlsx is a supplementary file with water quality data. R code (DiatomHarmonization_032222.R) was used to apply the harmonization scheme to the original diatom counts to produce the output files. The resulting output files are five wide format files containing diatom count data at different harmonization steps (Counts_1327_wide.csv, Step1_1327_wide.csv, Step2_1327_wide.csv, Step3_1327_wide.csv) and the summary of the Indicator Species Analysis (INDVAL_RESULT.csv). The harmonization scheme (Harmonization_102421.xlsx) can be further modified based on additional taxonomic investigations, while the associated R code (DiatomHarmonization_032222.R) provides a straightforward mechanism to diatom data versioning. \n\nThis dataset is associated with the following publication:\nPotapova, M., S. Lee, S. Spaulding, and N. Schulte. A harmonized dataset of sediment diatoms from hundreds of lakes in the northeastern United States.   Scientific Data. Springer Nature, New York, NY,  9(540): 1-8, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524246",
      "keyword": [
        "diatoms",
        "lakes",
        "taxonomic harmonization",
        "data quality",
        "water quality",
        "paleolimnology"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "NE_Lakes_Voucher_Flora_102421.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524246/NE_Lakes_Voucher_Flora_102421.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VoucherFloraTranslation_102421.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524246/VoucherFloraTranslation_102421.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Slide_accession_numbers_102421.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524246/Slide_accession_numbers_102421.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DiatomHarmonization_032222_files for R.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524246/DiatomHarmonization_032222_files%20for%20R.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-22",
      "references": [
        "https://doi.org/10.1038/s41597-022-01661-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sediment Data",
      "description": "EPA Data presented in the manuscript. \n\nThis dataset is associated with the following publication:\nLentz, D.L., T.L. Hamilton, N.P. Dunning, V.L. Scarborough, T.P. Luxton, A. Vonderheide, E.J. Tepe, C.J. Perfetta, J. Brunemann, L. Grazioso, F. Valdez, K.B. Tankersley, and A.A. Weiss. Molecular genetic and geochemical assays reveal severe contamination of drinking water reservoirs at the ancient Maya city of Tikal.   Scientific Reports. Nature Publishing Group, London,  UK,  10316, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524709",
      "keyword": [
        "mercury",
        "Maya",
        "Phospahte",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Mercury Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524709/Mercury%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-04",
      "references": [
        "https://doi.org/10.1038/s41598-020-67044-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set",
      "description": "Data used to create figures in the manuscript. \n\nThis dataset is associated with the following publication:\nEckley, C.S., T.P. Luxton, B. Stanfield, A. Baldwin, J. Holloway, J. McKernan, and M.G. Johnson. Effect of organic matter concentration and characteristics on mercury mobilization and methylmercury production at an abandoned mine site.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 271: 116369, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524710",
      "keyword": [
        "remediation",
        "mercury",
        "mining",
        "methylmercury"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524710/Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-03",
      "references": [
        "https://doi.org/10.1016/j.envpol.2020.116369"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VELMA Seattle Work",
      "description": "MOEA and VELMA files used in support of Seattle Green Roof Modeling Project. \n\nThis dataset is associated with the following publication:\nBarnhart, B., P. Pettus, J. Halama, B. McKane, P. Mayer, K. Djang, A. Brookes, and M. Moskal. Modeling the hydrologic effects of watershed-scale green roof implementation in the Pacific Northwest, United States.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 277: 111418, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518518",
      "keyword": [
        "green roof",
        "stormwater",
        "Puget Sound",
        "VELMA"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/blbarnhart/velma-seattle-work",
          "accessURL": "https://github.com/blbarnhart/velma-seattle-work",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-02-10",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.111418"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparative Analysis of Rapid Concentration Methods for the Recovery of SARS-CoV-2 and Quantification of Human Enteric Viruses and Sewage-associated Lachno3 Marker Genes in Untreated Wastewater  ",
      "description": "Percent recovery data for SARS-CoV-2, concentration data for enteroviruses, adenoviruses and wastewater associated (Lachno3) marker genes. This dataset is not publicly accessible because: Data is not the property of EPA. It can be accessed through the following means: Contact korajkic.asja@epa.gov. Format: Data is the property of the University of Notre Dame. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Bivins, S.L. Simpson, W.J.M. Smith, S. Metcalfe, B. McMinn, E.M. Symonds, and A. Korajkic. Comparative Analysis of Rapid Concentration Methods for the Recovery of SARS-CoV-2 and Quantification of Human Enteric Viruses and Sewage-associated Lachno3 Marker Genes in Untreated Wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 799: 149386, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522680",
      "keyword": [
        "SARS-CoV-2",
        "COVID-19",
        "murine hepatitis virus",
        "recovery",
        "concentration method",
        "enveloped virus",
        "sewage"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2021-06-27",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.149386"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cleaning against MHV dataset",
      "description": "efficacy data against MHV for cleaning surfaces. \n\nThis dataset is associated with the following publication:\nHardison, R., S. Nelson, D. Barriga, J. Ghere, G. Fenton, R. James, M. Stewart, S. Lee, M.W. Calfee, S. Ryan, and M. Howard. Efficacy of Detergent-Based Cleaning Methods Against Coronavirus MHV-A59 on Porous and Non-Porous Surfaces.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 19(2): 91-101, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523025",
      "keyword": [
        "antimicrobial",
        "surface cleaning agents",
        "biological agent"
      ],
      "contactPoint": {
        "fn": "Shawn Ryan",
        "hasEmail": "mailto:ryan.shawn@epa.gov"
      },
      "distribution": [
        {
          "title": "2021-08 MHV Cleaning Method Data File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523025/2021-08%20MHV%20Cleaning%20Method%20Data%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-19",
      "references": [
        "https://doi.org/10.1080/15459624.2021.2015075"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Analysis of incentive policies for phosphorus recovery at livestock facilities in the Great Lakes area.\"",
      "description": "The datasets contain data required to obtain a distribution of profitable phosphorus recovery processes in the Great Lakes area for scenarios considering phosphorus credits (USD/kg P recovered) and renewable energy credits (USD/MWh) (Figure 4); an economic evaluation (USD) of P recovery processes for different incentives scenarios (Figure 5); compare the total cost of phosphorus recovery (USD/kg P) for different incentive scenarios (electricity incentives in USD/MWh and phosphorus credits in USD/kg P recovered) and the environmental remediation cost due to phosphorus releases (Figure 6); allocate incentives (USD/kg P) for achieving the economic neutrality of nutrient recovery systems minimizing the total cost of incentives (Figure 7); and the distribution of incentives (MM USD/year) considering the Nash allocation scheme assuming available incentives equal to the 10%, 30%, 50%, 70%, and 100% of the incentives needed to cover the economic losses of unprofitable P recovery systems in the Great Lakes (Figure 8). \n\nThis dataset is associated with the following publication:\nMartín-Hernández, E., Y. Hu, V.M. Zavala, M. Martín, and G.J. Ruiz-Mercado. Analysis of incentive policies for phosphorus recovery at livestock facilities in the Great Lakes area.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 177: 105973, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522901",
      "keyword": [
        "organic waste",
        "Incentive Policy",
        "Livestock Industry",
        "nutrient recovery"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 8 -BudgetAvailable100percent.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%208%20-BudgetAvailable100percent.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 -BudgetAvailable70percent.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%208%20-BudgetAvailable70percent.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 -BudgetAvailable50percent.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%208%20-BudgetAvailable50percent.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 -BudgetAvailable30percent.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%208%20-BudgetAvailable30percent.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 -BudgetAvailable10percent.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%208%20-BudgetAvailable10percent.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 7 -AllStatesPolicy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%207%20-AllStatesPolicy.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures 5 & 6 -DataAnalysis_AllScenariosExtended.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figures%205%20%26%206%20-DataAnalysis_AllScenariosExtended.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4b -DataAnalysis_REC.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%204b%20-DataAnalysis_REC.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4a -DataAnalysis_PCredits.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522901/Figure%204a%20-DataAnalysis_PCredits.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-29",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2021.105973"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2021 - Inactivation of MS2 bacteriophage on copper film",
      "description": "Efficacy data against MS2 Bacteriophage, from a study of CuVerro V copper film. \n\nThis dataset is associated with the following publication:\nMonge, M., A. Abdel-Hady, L. Aslett, M. Calfee, B. Williams, K. Ratliff, S. Ryan, L. Oudejans, and A. Touati. Inactivation of MS2 bacteriophage on copper film deployed in high touch areas of a public transport system.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 74(3): 405-410, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523104",
      "keyword": [
        "bacteriophage MS2",
        "disinfection",
        "antiviral",
        "efficacy",
        "antimicrobial"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Copper Film Manuscript Dataset_Rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523104/Copper%20Film%20Manuscript%20Dataset_Rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-26",
      "references": [
        "https://doi.org/10.1111/lam.13624"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linear combination fitting data of zinc speciation used for Figure 4A.",
      "description": "The dataset is an Excel file with data on Zn linear combination spectra used to create figure 4A. \n\nThis dataset is associated with the following publication:\nCui, L., J. Ippolito, M. Noerpel, K.G. Scheckel, and J. Yan. Nutrient alterations following biochar application to a Cd-contaminated solution and soil.   Biochar Journal. Ithaka Institute for Carbon Intelligence, Arbaz,  SWITZERLAND, 3: 457-468, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520962",
      "keyword": [
        "Biochar (BC)",
        "synchrotron speciation",
        "Cadmium",
        "nutrient availability",
        "soil amendments"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "LCFFigure.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520962/LCFFigure.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-28",
      "references": [
        "https://doi.org/10.1007/s42773-021-00106-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linear combination fitting data of Pb speciation used for Figure S1.",
      "description": "Data file contains linear combination fitting data used to make figure S1. \n\nThis dataset is associated with the following publication:\nKastury, F., W. Tang, C. Herde, M.R. Noerpel, K.G. Scheckel, and A.L. Juhasz. Plumbojarosite formation in contaminated soil to mitigate childhood exposure to lead, arsenic and antimony.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 418: 126312, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520961",
      "keyword": [
        "plumbojarosite",
        "synchrotron speciation",
        "lead bioavailability",
        "lead contaminated soil",
        "soil amendments",
        "soil remediation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "LCFFigureData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520961/LCFFigureData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-22",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2021.126312"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biological mapping and speciation analysis examines origin and fate of lead species in soil before and after remediation to promote plumbojarosite formation ",
      "description": "X-ray absorption spectroscopy raw data files. \n\nThis dataset is associated with the following publication:\nSowers, T., S. Bone, M. Noerpel, M. Blackmon, R. Karna, K. Scheckel, A. Juhasz, G. Diamond, D. Thomas, and K. Bradham. Plumbojarosite Remediation of Soil Affects Lead Speciation and Elemental Interactions in Soil and in Mice Tissues.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(23): 15950-15960, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523366",
      "keyword": [
        "spectra",
        "XAS"
      ],
      "contactPoint": {
        "fn": "Tyler Sowers",
        "hasEmail": "mailto:sowers.tyler@epa.gov"
      },
      "distribution": [
        {
          "title": "Cecum Table and Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523366/Cecum%20Table%20and%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-23",
      "references": [
        "https://doi.org/10.1021/acs.est.1c06067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523366/documents/Data%20Dictionary%20for%20Cecum%20Table%20and%20Figures.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation various sorbents for possible use as stabilizing agents for use in an in-situ solidification/stabilization (immobilization) treatment process for PFAS contaminated soils.",
      "description": "A two-phased bench-scale study was conducted to evaluate various sorbents for possible use as chemical stabilizing agents, along with cement solidification, for possible use in an in-situ solidification/stabilization (immobilization) treatment process for per- and polyfluoroalkyl  (PFAS) contaminated soils.  The first phase involved sorption experiments for six selected PFAS compounds diluted in a water solution, using five selected sorbents: granular activated carbon (GAC), activated carbon-clay blend, modified clay, biochar, iron (Fe)-amended biochar, and Ottawa sand as a control media. The second phase involved chemical stabilization treatment (via sorption), using the most effective sorbent identified in the first phase, followed by solidification of two soils from PFAS-contaminated sites. Physical solidification was achieved by adding cement as a binding agent. Results from the first phase (sorption experiments) indicated that GAC was slightly more successful than the other sorbents in sorption performance for a 3,000 µg/L solution containing a mixture of the six selected PFAS analytes (500 µg/L concentration each of shorter- and longer-chain alkyl acids), and was the only sorbent used in the second phase of this study. While the GAC, activated carbon-clay blend, and modified clay sorbents showed similar sorption performance for the longer chain analytes tested, both the activated carbon-clay blend and modified clay, exhibited slightly less sorptive capacity than GAC for the shorter-chain alkyl acids.   Immobilization effectiveness was evaluated by soil leachability testing using Environmental Protection Agency (EPA) Method 1312, Synthetic Precipitation Leaching Procedure (SPLP) on the samples collected from two PFAS-contaminated sites.  For the majority of the PFAS soil analytes, the addition of GAC sorbent (chemical stabilization) substantially reduced the leachability of PFAS compounds from the contaminated soil samples, and the addition of cement as a physical binding agent (solidification) further decreased leachability for a few of the PFAS compounds. Overall immobilization of PFAS analytes that were detectable in the leachate from two PFAS contaminated soils ranged from 87.1% to 99.9%. Therefore, it is reasonable to consider that the laboratory testing results presented here may have application to further pilot or limited field-scale studies within a broader suite of PFAS-contaminated site treatment options that are currently available for treating PFAS contaminated soils. \n\nThis dataset is associated with the following publication:\nBarth, E., J. McKernan, D. Bless, and K. Dasu. Investigation of an immobilization process for PFAS contaminated soils.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 296: 113069, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524628",
      "keyword": [
        "PFAS",
        "PFOS",
        "PFOA",
        "immobilization",
        "remediation",
        "Leaching",
        "carbon"
      ],
      "contactPoint": {
        "fn": "Edwin Barth",
        "hasEmail": "mailto:barth.ed@epa.gov"
      },
      "distribution": [
        {
          "title": "Sorption Kinetics Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524628/Sorption%20Kinetics%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Soil Leachability study results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524628/Soil%20Leachability%20study%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-30",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2021.113069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dendrochronological data of tree species in western Oregon",
      "description": "Dendrochronological data for Douglas-fir and western hemlock for sites in western Oregon. \n\nThis dataset is associated with the following publication:\nLee, E., P. Beedlow, R. Waschmann, S. Cline, M. Bollman, C. Wickham, and N. Testa. Tree-ring history of Swiss needle cast impact on Douglas-fir growth in western Oregon: Correlations with climatic variables.   Journal of Plant Science and Phytopathology. Heighten Science Publications Inc. (HSPI), East Windsor, CT, USA,  76-87, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524301",
      "keyword": [
        "dendroecology",
        "Douglas-fir",
        "climate change",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "lee 2021 dendrometer data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524301/lee%202021%20dendrometer%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-10-18",
      "references": [
        "https://doi.org/10.29328/journal.jpsp.1001065"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Pyrolysis Processing of PFAS-Impacted Biosolids, a Pilot Study",
      "description": "Data contained in subject paper with data dictionary. \n\nThis dataset is associated with the following publication:\nThoma, E., R. Wright, I. George, M. Krause, D. Presezzi, V. Villa , W. Preston, P. Deshmukh, P. Kauppi, and P. Zemek. Pyrolysis Processing of PFAS-Impacted Biosolids, a Pilot Study.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522839",
      "keyword": [
        "PFAS",
        "pyrolysis",
        "biosolids"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Thoma_SDMP.FY21.108_Biosolids Pyrolysis_052021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522839/Thoma_SDMP.FY21.108_Biosolids%20Pyrolysis_052021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-20",
      "references": [
        "https://doi.org/10.1080/10962247.2021.2009935"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohio River Water Quality Data",
      "description": "Monthly raw water quality data on alkalinity, hardness, TDS, Turbidity, TOC, pH, and temperature. \n\nThis dataset is associated with the following publication:\nLevine, A., J. Yang , and J. Goodrich. Enhancing climate Adaptation Capacity for Drinking Water Treatment Facilities.   Journal of Water and Climate Change. IWA Publishing, London,  UK, 7(3): 1-13, (2016).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1407521",
      "keyword": [
        "raw water quality data",
        "climate adaptation",
        "coagulation",
        "conventional treatment",
        "resilience",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Data-Journal of Water and Climate Change.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407521/Copy%20of%20Data-Journal%20of%20Water%20and%20Climate%20Change.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2012-09-28",
      "references": [
        "https://doi.org/10.2166/wcc.2016.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transport and Fate of Aqueous Film Forming Foam in an Urban Estuary: Dataset",
      "description": "This data is associated with the manuscript: \"Transport and fate of aqueous film forming foam in an urban estuary\" published in Environmental Pollution, vol. 300, 01May22.  https://doi.org/10.1016/j.envpol.2022.118963. \n\nThis dataset is associated with the following publication:\nKatz, D., J. Sullivan, K. Rosa, C. Gardiner, A. Robuck, R. Lohmann, C. Kincaid, and M. Cantwell. Transport and Fate of Aqueous Film Forming Foam in an Urban Estuary.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 300: 118963, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524740",
      "keyword": [
        "Urban Watersheds",
        "PFAS",
        "Marine pollution",
        "Ambient Water"
      ],
      "contactPoint": {
        "fn": "David Katz",
        "hasEmail": "mailto:katz.david@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524740/ScienceHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-02",
      "references": [
        "https://doi.org/10.1016/j.envpol.2022.118963"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In_Vivo_Testing_HSAB",
      "description": "Contains nerve excitability data (tail and foot CMAP, tail mixed nerve), compound nerve action potentials, nerve conduction velocity, cortical and cerebellar somatosensory evoked potentials after treatment with citronellal, 3,4-dichloro-1-butene, or benzyl bromoacetate. Contains extracted data and analysis. \n\nThis dataset is associated with the following publication:\nHerr, D., G. Jung, K. McDaniel, R. LoPachin, B. Geohagen, A. Smith, and M. Huffstickler. IN VIVO NEUROPHYSIOLOGICAL ASSESSMENT OF IN SILICO PREDICTIONS OF NEUROTOXICITY: CITRONELLAL, 3,4-DICHLORO-1-BUTENE, AND BENZYL BROMOACETATE.   NEUROTOXICOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 90(1): 48-61, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523146",
      "keyword": [
        "CITRONELLAL",
        "AND BENZYL BROMOACETATE",
        "3-4-dichloro-1-butene",
        "nerve excitability",
        "peripheral nerve evoked potentials",
        "somatosensory evoked potentials"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "In_Vivo_Testing.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523146/In_Vivo_Testing.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-21",
      "references": [
        "https://doi.org/10.1016/j.neuro.2022.02.008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supply Chain GHG Emission Factors for US Commodities and Industries v1.1.1",
      "description": "Tables presenting supply chain and margin emission factors and data quality scores for US commodities and industries calculated from USEEIO models at two levels of commodity/industry categorization, detail and summary, for both industries and commodity, and annually from 2010-2016. See the EPA report for full details on emission factor preparation. These factors were produced by knitting the GenerateEmissionFactorsDataset.Rmd file in RStudio using the supply-chain-factors code, v1.1.1 at https://github.com/USEPA/supply-chain-factors/releases/tag/v1.1.1. \n\nThis dataset is associated with the following publication:\nIngwersen, W., and M. Li. Supply Chain Greenhouse Gas Emission Factors for US Industries and Commodities. U.S. Environmental Protection Agency, Washington, DC, USA, 2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524744",
      "keyword": [
        "scope 3",
        "US industry GHGs",
        "life cycle GHG emissions",
        "USEEIO",
        "dollar-based emissions"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplyChainEmissionFactorsforUSIndustriesCommodities v1.1.1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524744/SupplyChainEmissionFactorsforUSIndustriesCommodities%20v1.1.1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-07",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1524744/documents/ABOUT%20GenerateEmissionFactorsDataset.Rmd%20.txt",
        "https://pasteur.epa.gov/uploads/10.23719/1524744/documents/GenerateEmissionFactorsDataset.Rmd.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Small form factor filter based sampling data - Ambient and chamber",
      "description": "Small form factor filter based PM collection data from both co-located ambient sampling and chamber studies conducted on controlled smoke environments. Metadata is contained within files. \n\nThis dataset is associated with the following publication:\nKrug, J.D., R. Long, M. Colon, A. Habel, S. Urbanski, and M. Landis. Evaluation of Small Form Factor, Filter-Based PM2.5 Samplers for Temporary Non-Regulatory Monitoring During Wildland Fire Smoke Events.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 265: 0, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520906",
      "keyword": [
        "wildland fire smoke",
        "pm2.5",
        "particulate matter",
        "small form factor sampler"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "SFFFS_Chamber_study_ScienceHub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520906/SFFFS_Chamber_study_ScienceHub.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SFFFS_AIRS_study_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520906/SFFFS_AIRS_study_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2021.118718"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "stable carbon and oxygen isotope ratios in tree-rings for five field sites in western Oregon",
      "description": "Cellulosic stable carbon and oxygen isotope values in tree-rings of mature Douglas-fir trees at five sites in western Oregon. \n\nThis dataset is associated with the following publication:\nLee, E.H., P. Beedlow, R.J. Brooks, D.T. Tingey, C. Wickham, and W. Rugh. Physiological responses of Douglas-fir to climate and forest disturbances as detected by cellulosic carbon and oxygen isotope ratios.   TREE PHYSIOLOGY. Heron Publishing, Victoria, B.C,  CANADA, 42(1): 5-25, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504228",
      "keyword": [
        "stable isotopes",
        "climate change",
        "dendrochronology",
        "Douglas-fir",
        "Pacific Decadal Oscillation",
        "Pacific Northwest",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "cisotopeallsites.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504228/cisotopeallsites.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "d18oallsites.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504228/d18oallsites.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2015-02-13",
      "references": [
        "https://doi.org/10.1093/treephys/tpab122"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diacetyl Data Sets for Figures in Paper",
      "description": "This research looks at the effects of soluble, volatile diketones such as diacetyl on iron homeostasis.  These diketones are in food flavoring agents and occur naturally in fermented beverages. \n\nThis dataset is associated with the following publication:\nGhio, A.J., J.M. Soukup, L.A. Dailey, V.L. Roggli, A.L. Crombliss, and S. Palmer. Diacetyl exposure disrupts iron homeostasis in animals and cells.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 33(6-8): 268-274, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519372",
      "keyword": [
        "Iron Homeostasis",
        "deacetyl"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "diacetyl figure 5C sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%205C%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "diacetyl figure 5B sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%205B%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "diacetyl figure 5A sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%205A%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "diacetyl figure 4C sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%204C%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "diacetyl figure 4B sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%204B%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "diacetyl figure 4A sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/diacetyl%20figure%204A%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-27",
      "references": [
        "https://doi.org/10.1080/08958378.2021.1989092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519372/documents/Diacetyl%20paper%20figures%204%20a-c%205%20a-c%20data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery",
      "description": "Satellite sensor artifacts can negatively impact the interpretation of satellite data. One such artifact is linear features in imagery which can be caused by a variety of sensor issues and can present as either wide, consistent features called banding, or as narrow, inconsistent features called striping. This study used high-resolution data from DigitalGlobe's WorldView-3 satellite collected at Lake Okeechobee, Florida, on 30 August 2017. Primarily designed as a land sensor, this study investigated the impact of vertical artifacts on both at-sensor radiance and a spectral index for an aquatic target. This dataset is not publicly accessible because: NGA Nextview license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: National Geospatial Intelligence Agency contract details prevent distribution of Maxar data. \r\n\r\nQuestions regarding Nextvew can be sent so NGANextView_License@nga.mil. Questions regarding the NASA Commercial Data Buy can be sent to yvonne.ivey@nasa.gov. Format: high-resolution data from DigitalGlobe's WorldView-3 satellite. \n\nThis dataset is associated with the following publication:\nCoffer, M., P. Whitman, B. Schaeffer, V. Hill, R. Zimmerman, W. Salls, M. Lebrasse, and D. Graybill. Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems.   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 43(4): 1199-1225, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522911",
      "keyword": [
        "WorldView-3",
        "WorldView-2",
        "Maximum chlorophyll index",
        "Banding",
        "Striping",
        "Time delay integration"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-07-20",
      "references": [
        "https://doi.org/10.1080/01431161.2022.2030069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Cleaner air reveals growing influence of climate on dissolved organic carbon trends",
      "description": "Surface water browning, the result of increasing concentrations of dissolved organic matter\n(DOM), has been widespread in northern ecosystems in recent decades. Here, we assess a database\nof 426 undisturbed headwater lakes and streams in Europe and North America for evidence of\ntrends in DOM between 1990 and 2016. We describe contrasting changes in DOM trends in\nEurope (decelerating) and North America (accelerating), which are consistent with organic matter\nsolubility responses to declines in sulfate deposition. While earlier trends (1990–2004) were almost\nentirely related to changes in atmospheric chemistry, climatic and chemical drivers were equally\nimportant in explaining recent DOM trends (2002–2016). We estimate that riverine DOM export\nfrom northern ecosystems increased by 27% during the study period. Increased summer\nprecipitation strengthened upward dissolved organic carbon trends while warming apparently\ndamped browning. Our results suggest strong but changing influences of air quality and climate on\nthe terrestrial carbon cycle, and on the magnitude of carbon export from land to water. \n\nThis dataset is associated with the following publication:\nde Wit, H., J. Stoddard, D. Monteith, J. Sample, K. Austnes, S. Couture, J. Fölster, S. Higgins, D. Houle, J. Hruška, P. Krám, J. Kopáček, A. Paterson, S. Valinia, H. van Dam, J. Vuorenmaa, and C. Evans. Cleaner air reveals growing influence of climate on dissolved organic carbon trends in northern headwaters.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 16(10): 104009, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518364",
      "keyword": [
        "sulfate deposition",
        "Carbon Cycle",
        "precipitation",
        "catchment DOC export",
        "surface water browning",
        "organic matter solubility"
      ],
      "contactPoint": {
        "fn": "John Stoddard",
        "hasEmail": "mailto:stoddard.john@epa.gov"
      },
      "distribution": [
        {
          "title": "toc_trends_data_for_science_hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518364/toc_trends_data_for_science_hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-01-31",
      "references": [
        "https://doi.org/10.1088/1748-9326/ac2526"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1518364/documents/Data%20Dictionary.csv",
        "mediaType": "text/csv"
      },
      "accessRights": "public"
    },
    {
      "title": "Deep soil nitrogen storage slows nitrate leaching through the vadose zone [dataset]",
      "description": "This field study was designed to evaluate how nitrate leaching rates change with depth and how seasonal and annual variation in management (e.g., fertilizer input amount and summer irrigation) impact the transport of water and nutrients through the vadose zone. The field experiment was established in June 2016 with the uniform planting of a sweet corn crop across the whole ~0.8 ha site. In September 2016, monitoring networks were installed in two subfields, North and South, consisting of groundwater wells and vadose zone instrumentation installed near the center of each. Water was sampled every two weeks beginning in October 2016 and analyzed for nitrate. We present three years of nitrate data, modeled water flux, and post-harvest soil nutrient data starting in July 2017 and reported on a “fertilizer year” basis, defined as beginning in the summer, coinciding with the peak of the growing season when crop growth, irrigation rates, and fertilizer application are greatest (July-June; straddles two calendar years). \n\nThis dataset is associated with the following publication:\nWeitzman, J., J.R. Brooks, J. Compton, B. Faulkner, P. Mayer, R.E. Peachey, W. Rugh, R. Coulombe, B. Hatteberg, and S. Hutchins. Deep soil nitrogen storage slows nitrate leaching through the vadose zone.   AGRICULTURE, ECOSYSTEMS & ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 332: 107949, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524264",
      "keyword": [
        "nitrate",
        "nitrogen",
        "Nitrogen accumulation",
        "nutrient management",
        "vadose zone",
        "legacy nutrients",
        "nitrogen budget",
        "lysimeters",
        "water quality",
        "translational science",
        "soil water"
      ],
      "contactPoint": {
        "fn": "Julie Weitzman",
        "hasEmail": "mailto:weitzman.julie@epa.gov"
      },
      "distribution": [
        {
          "title": "Weitzman et al._Nitrate Leaching through Vadose Zone.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524264/Weitzman%20et%20al._Nitrate%20Leaching%20through%20Vadose%20Zone.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-19",
      "references": [
        "https://doi.org/10.1016/j.agee.2022.107949"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ORHAB Risk Data Files - Includes Multiple Files",
      "description": "Primary data are 25 yrs of discharge (i.e. river flow) for multiple sites on the Ohio River. Supporting data are water quality variables for select sites on the Ohio river, including nutrient species, information from algal cell counts, and in-situ sensor data. \n\nThis dataset is associated with the following publication:\nNietch, C., L. Gains-Germain, J. Lazorchak, S. Keely, G. Youngstrom, E.M. Urichich, B. Astifan, A. DaSilva, and H. Mayfield. Development of a Risk Characterization Tool for Harmful Cyanobacteria Blooms on the Ohio River.   WATER. MDPI AG, Basel,  SWITZERLAND, 14(4): 644, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523479",
      "keyword": [
        "River discharge",
        "time series",
        "water quality sensors",
        "continuous"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "OhioRiverDailyDischargeData_1995-2020.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/OhioRiverDailyDischargeData_1995-2020.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OhioRiver_DailyDischarge_avgs_withmax.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/OhioRiver_DailyDischarge_avgs_withmax.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nutrient-CHL_Data_ORSANCO_WorkedCTN_01272021.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/Nutrient-CHL_Data_ORSANCO_WorkedCTN_01272021.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Markland 2019 Monitoring Summary_Adjusted.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/Markland%202019%20Monitoring%20Summary_Adjusted.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Complete_Greenup_sonde_data w2019.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/Complete_Greenup_sonde_data%20w2019.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2019BloomLongitudinalProfiling_ CTNWorked_02142021.xlsx.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523479/2019BloomLongitudinalProfiling_%20CTNWorked_02142021.xlsx.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-21",
      "references": [
        "https://doi.org/10.3390/w14040644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Observations and Parameterization of the Effects of Barrier Height and Source-to-Barrier Distance on Concentrations Downwind of a Roadway Data",
      "description": "This is the data used in the manuscript entitled \"Observations and Parameterization of the Effects of Barrier Height and Source-to-Barrier Distance on Concentrations Downwind of a Roadway\" published in Atmospheric Pollution Research in 2022. \n\nThis dataset is associated with the following publication:\nFrancisco, D., D. Heist, A. Venkatram, L. Brouwer, and S. Perry. Observations and parameterization of the effects of barrier height and source-to-barrier distance on concentrations downwind of a roadway.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 13(4): 101385, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523040",
      "keyword": [
        "Mobile source",
        "wind tunnel",
        "dispersion modeling",
        "noise barriers"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "SupportingMaterial_WTdata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523040/SupportingMaterial_WTdata.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Velocity_WTdata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523040/Velocity_WTdata.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Source_to_Barrier_Distance_WTdata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523040/Source_to_Barrier_Distance_WTdata.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Barrier_Height_WTdata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523040/Barrier_Height_WTdata.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-08",
      "references": [
        "https://doi.org/10.1016/j.apr.2022.101385"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523040/documents/Data%20Dictionary%20for%20Data%20Set%20D-djhn.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Individual FEGS x BMP tables ",
      "description": "Final ecosystem goods and services (FEGS) that may be associated with several different best management practices (BMPs). \n\nThis dataset is associated with the following publication:\nRossi, R., C. Bisland, L. Sharpe, E. Trentacoste, B.(. Williams, and S. Yee. Identifying and Aligning Ecosystem Services and Beneficiaries Associated with Best Management Practices in Chesapeake Bay Watershed.   ENVIRONMENTAL MANAGEMENT. Springer-Verlag, New York, NY, USA,  26, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522865",
      "keyword": [
        "final ecosystem services",
        "Best Managment Practices"
      ],
      "contactPoint": {
        "fn": "Ryann Rossi",
        "hasEmail": "mailto:rossi.ryann@epa.gov"
      },
      "distribution": [
        {
          "title": "Rossi_CB_MS_supplementary_tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522865/Rossi_CB_MS_supplementary_tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-02",
      "references": [
        "https://doi.org/10.1007/s00267-021-01561-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Recycling of Plastics in the United States: Data for PET Flows for Material Flow Analysis and MRF and Reclaimer Calculations",
      "description": "The journal article, \"Recycling of Plastics in the United States: Plastic Material Flows and Polyethylene Terephthalate (PET) Recycling Processes,\" has two spreadsheet files associated with it as Supporting Information which are also data sets.  The data describes 1) PET Flows for Material Flow Analysis, and 2) Material Recovery Facility (MRF) and Reclaimer Calculations. \n\nThis dataset is associated with the following publication:\nSmith, R.L., S. Takkellapati, and R.C. Riegerix. Recycling of Plastics in the United States: Plastic Material Flows and Polyethylene Terephthalate (PET) Recycling Processes.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 10(6): 2084-2096, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524778",
      "keyword": [
        "emissions",
        "Pet",
        "plastics",
        "processes",
        "MRF",
        "resource use",
        "recycling",
        "material recovery facilities",
        "polyethylene terephthalate"
      ],
      "contactPoint": {
        "fn": "Raymond Smith",
        "hasEmail": "mailto:smith.raymond@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.1c06845/suppl_file/sc1c06845_si_001.xlsx",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.1c06845/suppl_file/sc1c06845_si_001.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.1c06845/suppl_file/sc1c06845_si_002.xlsx",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acssuschemeng.1c06845/suppl_file/sc1c06845_si_002.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-02",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.1c06845"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset - Potential Local to Regional Scale Impacts from Wildfire Re-emission of Hypothetical Radiological Contamination Incidents",
      "description": "Many of these data files are essentially grid numbers for raster images that were created by software visualizing clouds of air emissions rather than x-y coordinates like you would plot in Excel or a similar software package.  The data dictionary describes the data file contents. \n\nThis dataset is associated with the following publication:\nBaker, K., S. Lee, P. Lemieux, S. Hudson, B. Murphy, J. Bash, S. Koplitz, K. Nguyen, W.M. Hao, S. Baker, and E. Lincoln. Predicting wildfire particulate matter and hypothetical re-emission of radiological Cs-137 contamination incidents.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 795: 148872, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1506025",
      "keyword": [
        "wildfire",
        "cesium",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Paul Lemieux",
        "hasEmail": "mailto:lemieux.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Baker_Data_Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Baker_Data_Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure2_panel1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2_panel2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure2_panel2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel6.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel6.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_panel2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure2_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_panel4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure6_panel2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure6_panel2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4_panel5.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure4_panel5.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS1_bottom_panel.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS1_bottom_panel.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS2_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS2_panel1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS2_panel2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS2_panel2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel6.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "FigureS2_panel4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS2_panel4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS3_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS3_panel1.txt",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS3_panel2.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure6_panel1.txt",
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          "title": "FigureS4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS1_top_panel.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS1_top_panel.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure5_panel5.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure5_panel5.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/Figure3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS5_panel2.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "FigureS6_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS6_panel1.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS5_panel1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS5_panel1.txt",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS5_panel3.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "FigureS6_panel4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS6_panel4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "FigureS5_panel4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS5_panel4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "FigureS6_panel6.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS6_panel6.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS6_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS6_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS6_panel5.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS6_panel5.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS3_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS3_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS2_panel3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506025/FigureS2_panel3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-14",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.148872"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Micronized copper treated wood",
      "description": "The data include copper concentrations in surface and subsurface water in mesocosms as well as pH, dissolved oxygen, and electrical conductivity.  It also shows spectra of copper speciation in wood and soil surrounding wood stakes. \n\nThis dataset is associated with the following publication:\nJohnson, M.G., T.P. Luxton, P.T. Rygiewicz, J.R. Reichman, M.A. Bollman, G.A. King, M.J. Storm, M. Nash, and C. Andersen. Transformation and Release of Micronized Cu used as a Wood Preservative in Treated-Wood in Wetland Soil.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 287: 117189, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520488",
      "keyword": [
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "Micronized Cu Paper - Data for Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520488/Micronized%20Cu%20Paper%20-%20Data%20for%20Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Micronized Cu Paper - Data for Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520488/Micronized%20Cu%20Paper%20-%20Data%20for%20Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Micronized Cu Paper - Data for Figure 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520488/Micronized%20Cu%20Paper%20-%20Data%20for%20Figure%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-01",
      "references": [
        "https://doi.org/10.1016/j.envpol.2021.117189",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%201%20ANOVA%20Data%20for%20Figure%201.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%202A%20%20ANOVA%20Data%20for%20Figure%202A%20%28pH%29.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%202C%20ANOVA%20Data%20for%20Figure%202C%20%28EC%29.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%202B%20ANOVA%20Data%20for%20Figure%202B%20%28DO%29.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%204.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%205.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1520488/documents/Micronized%20Cu%20Paper%20-%20Data%20for%20SM%20Table%203%20for%20Figure%203.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Pathways to highly oxidized products in the d3-carene + OH system\"",
      "description": "Oxidation of the monoterpene Δ3-carene (C10H16) is a potentially important and under-studied source of atmospheric secondary organic aerosol (SOA). We present chamber-based measurements of the speciated gas and particle phases during photochemical oxidation of Δ3-carene. We find evidence of highly oxidized organic molecules (HOM) in the gas phase and relatively low volatility SOA dominated by C7-C10 species. We then use computational methods to develop the first stages of a Δ3-carene photochemical oxidation mechanism and explain some of our measured compositions. We find that alkoxy bond scission of the cyclohexyl ring likely leads to efficient HOM formation, in line with previous studies. We also find a surprising role for the abstraction of primary hydrogens from methyl groups, which has been calculated to be rapid in the α-pinene system, and suggest more research is required to determine if this is more general to other systems and a feature of autoxidation. This work develops a more comprehensive view of Δ3-carene photochemical oxidation products via measurements and lays out a suggested mechanism of oxidation via computationally derived rate coefficients. This dataset is not publicly accessible because: Non-EPA data. It can be accessed through the following means: Please contact Joel Thornton at: thornton@atmos.uw.edu. Format: text files. \n\nThis dataset is associated with the following publication:\nD'Ambro, E., N. Hyttinen, K. Møller, S. Iyer, R. Otkjær, D. Bell, J. Liu, F. Lopez-Hilfiker, S. Schobesberger, J. Shilling, A. Zelenyuk, H. Kjaergaard, J. Thornton, and T. Kurten. Pathways to highly oxidized products in the Δ3-Carene + OH system.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(4): 2213-2224, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524671",
      "keyword": [
        "secondary organic aerosol (SOA)",
        "Biogenic Volatile Organic Compound",
        "Computational Rate Calculations",
        "Chemical Ionization Mass Spectrometry"
      ],
      "contactPoint": {
        "fn": "Emma D'Ambro",
        "hasEmail": "mailto:dambro.emma@epa.gov"
      },
      "distribution": [],
      "modified": "2018-12-31",
      "references": [
        "https://doi.org/10.1021/acs.est.1c06949"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Krause_A-7m0t_Dataset_SCWO_20210302",
      "description": "This is the data contained in the paper \"Supercritical water oxidation (SCWO) as an innovative technology for PFAS destruction\". \n\nThis dataset is associated with the following publication:\nKrause, M., E. Thoma, E. Sahle-Demessie, B. Crone, A. Whitehill, E. Shields, and B. Gullett. Supercritical water oxidation as an innovative technology for PFAS destruction.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 148(2): NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520912",
      "keyword": [
        "PFAS",
        "SCWO",
        "AFFF"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Krause_A-7m0t_Dataset_SCWO_20210302.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520912/Krause_A-7m0t_Dataset_SCWO_20210302.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-02",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0001957"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coral Reef Benthic BCG Narrative Model dataset ",
      "description": "The dataset contains the responses and rating from coral reef experts who served on a panel to develop a numeric model for the biological condition gradient (BCG).  The BCG is a tool to assess the condition of coral reefs.  Experts were provided workbooks containing a suite of condition metrics for coral and other benthic assemblages to evaluate.  This data set contains the records for the BCG level ranked condition  for each site rated by each expert. It also includes an explanation of each experts logic for their assigned score.  Median scores for each site were calculated from all experts scores and assigned as the final site score. The experts narrative logic and median scores were used to develop numeric decision rules with threshold values between the levels for the coral reef BCG model. \n\nThis dataset is associated with the following publication:\nSantavy, D., S. Jackson, B. Jessup, C. Rogers, E. Weil, A. Szmant, D. Cuevas-Miranda, B. Walker, C. Jeffrey, D. Ballantine, W. Fisher, R. Clark, H. Ruiz-Torres, B. Todd, C. Horstmann, and S. Raimondo. A biological condition gradient for Caribbean coral reefs: Part II. Numeric rules using sessile benthic organisms..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 135: 13, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523113",
      "keyword": [
        "Biological condition gradient",
        "expert ranking",
        "Coral reefs",
        "coral reef condition",
        "biocritera",
        "tool for management"
      ],
      "contactPoint": {
        "fn": "Deborah Santavy",
        "hasEmail": "mailto:santavy.debbie@epa.gov"
      },
      "distribution": [
        {
          "title": "Santavy etal Benthic BCG Narrative Model data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523113/Santavy%20etal%20Benthic%20BCG%20Narrative%20Model%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-10",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.108576"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Brockmann Consult",
      "description": "Contact Kerstin Stelzer at kerstin.stelzer@brockmann-consult.de as owner of satellite data. In situ measures are publicly available at www.waterqualitydata.us; https://dec.vermont.gov/watershed/lakes-ponds/monitor/lake-champlain; and https://lter.limnology.wisc.edu/. Portions of this dataset are inaccessible because: Satellite data is property of Brockmann Consult. They can be accessed through the following means: Contact Kerstin Stelzer at kerstin.stelzer@brockmann-consult.de as owner of satellite data. Format: www.waterqualitydata.us; \n\nThis dataset is associated with the following publication:\nSchaeffer, B., W. Salls, M. Coffer, C. Lebreton, M. Werther, K. Stelzer, E. Urquhart, and D. Gurlin. Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 194: 179, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520922",
      "keyword": [
        "satellite",
        "water quality",
        "chlorophyll",
        "trophic state",
        "lakes reservoirs"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.waterqualitydata.us",
          "accessURL": "https://www.waterqualitydata.us",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-12-01",
      "references": [
        "https://doi.org/10.1007/s10661-021-09684-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Omaha Lead Study data",
      "description": "We linked information on SLL at residential properties with children’s BLLs, grouping children based on whether they had pre- and/or post-remediation BLLs. Our data includes PII and we have a data use agreement that was negotiated between the Douglas County Health Department and the U.S. Environmental Protection Agency. This agreement states that, “Upon completion of this work described herein, all Restricted Data records shall be destroyed or returned … within 30 days of the completion of the work. In addition, the Institutional Review Board (IRB) protocol (UNC-IRB No. 15-1629) further outlines how the confidentiality of the data will be protected during analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please contact Ellen Kirrane at kirrane.ellen@epa.gov. Format: Data is in tabular format. \n\nThis dataset is associated with the following publication:\nYe, D., J. Brown, D. Umbach, J. Adams, W. Thayer, M. Follansbee, and E. Kirrane. Estimating the effects of soil remediation on children’s blood lead near a former lead smelter in Omaha Nebraska, U.S..   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(3): 037008 1-17, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520446",
      "keyword": [
        "lead",
        "Superfund",
        "remediation",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Ellen Kirrane",
        "hasEmail": "mailto:kirrane.ellen@epa.gov"
      },
      "distribution": [],
      "modified": "2016-12-30",
      "references": [
        "https://doi.org/10.1289/ehp8657"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Lake Ontario benthic macroinvertebrate data 1994, 1997, 1998, 1999",
      "description": "Densities of major taxonomic groups and species (or higher taxa) of benthic macroinvertebrates sampled in lake-wide surveys of Lake Ontario conducted in 1994, 1997, 1998, and 1999. \n\nThis dataset is associated with the following publication:\nBurlakova, L., A.  Karatayev, A. Hrycik, S. Daniel, K. Mehler, L. Rudstam, J. Watkins, R. Dermott, J. Scharold, A. Elgin, and T. Nalepa. Six decades of Lake Ontario ecological history according to benthos..   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(2): 274-288, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519312",
      "keyword": [
        "Lake Ontario",
        "benthic macroinvertebrates",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Jill Scharold",
        "hasEmail": "mailto:scharold.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "Lake Ontario Benthos 1994_7_8_9_Species.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519312/Lake%20Ontario%20Benthos%201994_7_8_9_Species.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lake Ontario Benthos 1994_7_8_9_Groups.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519312/Lake%20Ontario%20Benthos%201994_7_8_9_Groups.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1016/j.jglr.2021.03.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Huron 2017 CSMI water quality data supporting Dreissena veliger pattern analyses",
      "description": "This publication arises from a collaboration among federal agencies.  U.S. EPA lead the water quality data collection, which is the data provided here.  The data were obtained from ship-board sampling in spring and summer of 2017. \n\nThis dataset is associated with the following publication:\nKirkendall, D., D. Bunnell, P. Armenio, L. Eaton, A. Trebitz, and N. Watson. Spatial and temporal distributions of Dreissena spp. veligers in Lake Huron: Does calcium limit settling success?.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(4): 1040-1049, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520497",
      "keyword": [
        "Great Lakes",
        "Dreissena",
        "veligers"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "LkHuron2017_WQdata_forVeligerMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520497/LkHuron2017_WQdata_forVeligerMS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-04",
      "references": [
        "https://doi.org/10.1016/j.jglr.2021.04.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Biologically Based Model to Quantitatively Assess the Role of the Nuclear Receptors liver X (LXR), and pregnane X (PXR) on Chemically Induced Hepatic Steatosis",
      "description": "The data used in this manuscript came from published literature. \n\nThis dataset is associated with the following publication:\nBay, C., and H. El-Masri. A biologically based model to quantitatively assess the role of the nuclear receptors liver X (LXR), and pregnane X (PXR) on chemically induced hepatic steatosis.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 359(15): 46-54, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523089",
      "keyword": [
        "liver",
        "hepatic steatosis",
        "pbpk",
        "qAOP",
        "Nuclear Receptors"
      ],
      "contactPoint": {
        "fn": "Hisham El-Masri",
        "hasEmail": "mailto:el-masri.hisham@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.accessdata.fda.gov/drugsatfda_docs/label/2010/050420s073,050627s012lbl.pdf",
          "accessURL": "https://www.accessdata.fda.gov/drugsatfda_docs/label/2010/050420s073,050627s012lbl.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://link.springer.com/article/10.1007%2FBF00560384",
          "accessURL": "https://link.springer.com/article/10.1007%2FBF00560384",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://febs.onlinelibrary.wiley.com/doi/full/10.1016/j.febslet.2007.03.047",
          "accessURL": "https://febs.onlinelibrary.wiley.com/doi/full/10.1016/j.febslet.2007.03.047",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-09-02",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2022.02.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Strategic Vision New Vehicle Experience Survey 2014-2016 and Fuel Economy Data",
      "description": "Data consists of 1) EPA measured fuel economy, in terms of miles per gallon (MPG) or miles per gallon equivalent (MPGe), were obtained from fueleconomy.gov for vehicle model years 2013, 2014, 2016, and 2017, and 2) New Vehicle Experience Survey (NVES) data for calendar years 2014, 2015, and 2016. The survey data is confidential business information (CBI). These data were matched at the make-model level of specificity.\n\nThe data includes over 800,000 survey responses regarding consumer characteristics, vehicle attributes, consumer satisfaction, and the consumer purchase process plus fuel economy information for purchased and considered vehicles. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Request for access to the Strategic Vision New Vehicle Experience Survey data for calendar years 2014, 2015, and 2016 may be directed to the following:\r\n\r\nEdwards Associates Inc., The\r\nAttention: DBA Strategic Vision\r\n10725 Tierrasanta Blvd.\r\nSan Diego, CA 92124. Format: EPA measured fuel economy, in terms of miles per gallon (MPG) or miles per gallon equivalent (MPGe), were obtained from fueleconomy.gov for vehicle model years 2013, 2014, 2016, and 2017. These data were matched  at the make-model level of specificity to New Vehicle Experience Survey data for calendar years 2014, 2015, and 2016. The survey data is confidential business information (CBI). \r\n\r\nThe fuel economy data and survey data were initially downloaded and received as comma delimited files and later processed using statistical software (i.e., SAS, R, Python). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526072",
      "keyword": [
        "Fuel Economy Data Vehicle",
        "New Vehicle Purchase Process",
        "New Vehicle Consumer Satisfaction",
        "Consumer New Vehicle Criteria",
        "Vehicle Attributes and Features"
      ],
      "contactPoint": {
        "fn": "Dana Jackman",
        "hasEmail": "mailto:jackman.dana@epa.gov"
      },
      "distribution": [],
      "modified": "2021-11-30",
      "references": [
        "https://dx.doi.org/10.1177/03611981221082566"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Live Cell Imaging of Oxidative Stress in Human Airway Epithelial Cells Exposed to Isoprene Hydroxy Hydroperoxide METADATA",
      "description": "Data corresponding to figures contained in manuscript. \n\nThis dataset is associated with the following publication:\nMasood, S., E. Pennington, S. Simmons, P. Bromberg, S. Shaikh, R. Rice, A. Gold, Z. Zhang, and J. Samet. Live cell imaging of oxidative stress in human airway epithelial cells exposed to isoprene hydroxyhydroperoxide.   Redox Biology. Elsevier B.V., Amsterdam,  NETHERLANDS, 51: 102281, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524652",
      "keyword": [
        "Air Pollution Effect",
        "secondary organic aerosol (SOA)",
        "primary human lung cells"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524652/SciHub%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-26",
      "references": [
        "https://doi.org/10.1016/j.redox.2022.102281"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identification of Branched and Linear Forms of PFOA and Potential Precursors: A User-Friendly SMILES Structure-based Approach",
      "description": "Data files for \"Identification of Branched and Linear Forms of PFOA and Potential Precursors: A User-Friendly SMILES Structure-based Approach\". \n\nThis dataset is associated with the following publication:\nRichard, A., H. Hidle, G. Patlewicz, and A. Williams. Identification of Branched and Linear Forms of PFOA and Potential Precursors: A User-Friendly SMILES Structure-based Approach.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 10: 865488, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526079",
      "keyword": [
        "PFASSTRUCT",
        "PFOA",
        "PFAS",
        "branched",
        "DSSTox",
        "SMILES",
        "linear"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOA-SMILES_macro_v1.0.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526079/PFOA-SMILES_macro_v1.0.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS-SC-PFOAListing_Suppl_26Jan2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526079/PFAS-SC-PFOAListing_Suppl_26Jan2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-28",
      "references": [
        "https://doi.org/10.3389/fenvs.2022.865488"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Invasive Dreissena Mussel Coastal Transport From an Already Invaded Estuary to a Nearby Archipelago Detected in DNA and Zooplankton Surveys",
      "description": "This excel file contains the raw data for a publication concerning Dreissena veligers, eDNA, and zooplankton found in the south shore of Lake Superior in 2019. The sheets \"ZooplanktonCommunity\", \"eDNA\", \"VeligerSize\", and \"Temperature\" have the data itself, sheet \"Metadata\" (this sheet) describes the fields. This spreadsheet was created on 26-Oct-2021 by Courtney Larson. \n\nThis dataset is associated with the following publication:\nLarson, C., J. Barge, C. Hatzenbuhler, J. Hoffman, G. Peterson, E. Pilgrim, B. Wiechman, C. Rees, and A. Trebitz. Invasive Dreissena Mussel Coastal Transport From an Already Invaded Estuary to a Nearby Archipelago Detected in DNA and Zooplankton Surveys.   Frontiers in Marine Science. Frontiers, Lausanne,  SWITZERLAND, 9: 818738, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526078",
      "keyword": [
        "Dreissena",
        "Lake Superior",
        "invasive species monitoring",
        "water currents"
      ],
      "contactPoint": {
        "fn": "Courtney Larson",
        "hasEmail": "mailto:larson.courtney@epa.gov"
      },
      "distribution": [
        {
          "title": "SSDreissena_Scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526078/SSDreissena_Scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-19",
      "references": [
        "https://doi.org/10.3389/fmars.2022.818738"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Code for Predicting MIEs from Gene Expression and Chemical Target Labels with Machine Learning (MIEML)",
      "description": "Modeling data and analysis scripts generated during the current study are available in the github repository: https://github.com/USEPA/CompTox-MIEML. RefChemDB is available for download as supplemental material from its original publication (PMID: 30570668). LINCS gene expression data are publicly available and accessible through the gene expression omnibus (GSE92742 and GSE70138) at https://www.ncbi.nlm.nih.gov/geo/ . \n\nThis dataset is associated with the following publication:\nBundy, J., R. Judson, A. Williams, C. Grulke, I. Shah, and L. Everett. Predicting Molecular Initiating Events Using Chemical Target Annotations and Gene Expression.   BioData Mining. BioMed Central Ltd, London,  UK, issue}: 7, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524750",
      "keyword": [
        "molecular initiating events",
        "chemical safety screening",
        "machine learning",
        "high throughput transcriptomics",
        "binary classification",
        "Library of integrated cellular signatures"
      ],
      "contactPoint": {
        "fn": "Logan Everett",
        "hasEmail": "mailto:everett.logan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-MIEML",
          "accessURL": "https://github.com/USEPA/CompTox-MIEML",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-02",
      "references": [
        "https://doi.org/10.1186/s13040-022-00292-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Evaluation of different techniques for plume height injection in air quality models\"",
      "description": "This dataset contains the data for figures in the paper \"An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models\". Only figures 5,6,7,8,9,10,11,12,13 have data associated with them. \n\nThis dataset is associated with the following publication:\nWilkins, J., G. Pouliot, T. Pierce, A. Soja, H. Choi, E. Gargulinski, R. Gilliam, J. Vukovich, and M. Landis. An evaluation of empirical and statistically based smoke plume injection height parametrisations used within air quality models.   International Journal of Wildland Fire. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 31(2): 193-211, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1504467",
      "keyword": [
        "emissions",
        "CMAQ",
        "Wildland Fire",
        "biomass burning",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "Wilkins_template for datasets for SH to be completed later.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504467/Wilkins_template%20for%20datasets%20for%20SH%20to%20be%20completed%20later.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-07",
      "references": [
        "https://doi.org/10.1071/wf20140"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USGS and EPA Background Study Dataset",
      "description": "This excel spreadsheets provide the USGS and EPA background dataset (climatic variables, pathogen detection results, geochemical analysis results, topological variables, and animal location data) for the data points as collected through the NASGLP project. There is also a metadata file to explain what each variable is and where the data was retrieved from.  There is also an Excel file with data that was excluded from the larger dataset (due to missing or incomplete data, etc). ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1433625",
      "keyword": [
        "Maxent",
        "B. anthracis",
        "soil",
        "GIS"
      ],
      "contactPoint": {
        "fn": "Erin Silvestri",
        "hasEmail": "mailto:silvestri.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata for USGS and EPA dataset update 041819.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433625/Metadata%20for%20USGS%20and%20EPA%20dataset%20update%20041819.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Samples removed 4.4.13.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433625/Samples%20removed%204.4.13.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of usgs_geochembact_data_ssurgo_statsgo_final_sdouglas2_cleaned up 041918.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1433625/Copy%20of%20usgs_geochembact_data_ssurgo_statsgo_final_sdouglas2_cleaned%20up%20041918.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-04-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fathead minnow VTG gene and protein expression after EE2 exposure",
      "description": "For decades, induction of vitellogenin (VTG), a yolk precursor protein, in male fish has been utilized as an indicator of environmental exposure to estrogenic compounds. VTG has been measured by a variety of enzyme-linked immunosorbent assays (ELISAs). Recently, an ELISA targeting VTG from a variety of environmentally or regulatory relevant fish species was developed which detects VTG in serum, plasma, whole tissue homogenate and outer mucus coat (TECO Medical Group, Switzerland). Detection of VTG in mucus presents a non-invasive method of monitoring endocrine disruption. As the scientific community strives to reduce animal testing, this method could provide a reliable, minimally invasive sample for routine monitoring studies. The objective of this study was to characterize VTG  protein in male fathead minnow (Pimephales promelas) mucus compared with more conventional measures in plasma and mRNA isolated from liver. VTG expression changes have frequently been studied in fathead minnows exposed to the well-characterized endocrine disrupting compound, 17α-ethinylestradiol (EE2). To assess the intensity and duration of changes in mucus VTG concentrations, fathead minnows were exposed to EE2 for 7 days with a subsequent depuration period of 14 days. The exposure was conducted in a flow-through system to maintain a consistent concentration of EE2 at a nominal EC50 concentration of 2.5 ng/L and high concentration of 10 ng/L as a positive control. Mucus, plasma and liver were sampled at regular intervals throughout the study. Relative abundance of vtg mRNA  increased after 2 days of exposure and disappeared after 4 days of depuration. Vitellogenin protein expression increased after 2 days of exposure and remained elevated throughout the depuration period. The pattern of protein expression in mucus was the same as plasma indicating mucus can be used as a non-invasive sample for measuring VTG in fish. Sampling mucus allows researchers to collect more samples in less time during one sampling event without sacrificing animals. Additionally, the same population may be repeatedly sampled, which is potentially useful to monitor remediation efforts or for endangered species. \n\nThis dataset is associated with the following publication:\nSee, M.J., D. Bencic, R. Flick, J. Lazorchak, and A. Biales. Characterization of vitellogenin concentration in male fathead minnow mucus compared to plasma, and liver mRNA.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 236: 113428, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521106",
      "keyword": [
        "Vitellogenin Gene and Protein",
        "Fathead minnows"
      ],
      "contactPoint": {
        "fn": "Mary See",
        "hasEmail": "mailto:see.maryjean@epa.gov"
      },
      "distribution": [
        {
          "title": "VTG data for SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521106/VTG%20data%20for%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-07",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2022.113428"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Chemical Proteomics Reveals Interspecies Variations on Binding Schemes of Liver Fatty Acid Binding Protein with Perfluorooctanesulfonate ",
      "description": "Results from Quantitative Interspecies Thermal Shift Assay (QITSA) and molecular docking. \n\nThis dataset is associated with the following publication:\nHan, J., J.  Fu, J. Sun, D.R. Hall, D. Yang, D. Blatz, K. Houck, C. Ng, J. Doering, C. LaLone, and H. Peng. Quantitative Chemical Proteomics Reveals Interspecies Variations on Binding Schemes of L-FABP with Perfluorooctanesulfonate.   Nature Communications. Nature Publishing Group, London,  UK, 55(13): 9012-9023, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1519380",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "honey bee",
        "cross-species extrapolation",
        "screening and prioritization",
        "networks"
      ],
      "contactPoint": {
        "fn": "Carlie Lalone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "QITSA_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519380/QITSA_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-18",
      "references": [
        "https://doi.org/10.1021/acs.est.1c00509"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519380/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Projected Temperature and Ozone Data for Ren et al. Bayesian Ensemble Manuscript",
      "description": "This dataset contains projected temperature and ozone data provided by\nEPA's Office of Research and Development in support of the manuscript\n\"A Flexible Bayesian Ensemble Machine Learning Framework for Predicting\nLocal Ozone Concentrations,\" by Xiang Ren, Panos Georgopoulos, et al. \n\nThis dataset is associated with the following publication:\nRen, X., Z. Mi, T. Cai, C. Nolte, and P. Georgopoulos. Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(7): 3871-3883, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522932",
      "keyword": [
        "climate change",
        "machine learning",
        "Environmental Justice",
        "ozone exposure"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "met.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/met.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mda8.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/mda8.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "emis.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/emis.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522932/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-02",
      "references": [
        "https://doi.org/10.1021/acs.est.1c04076"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trophic transfer efficiency in the Lake Superior food web: Assessing the impacts of non-native species",
      "description": "This data release includes tabular data files. The dataset consists of four input data tables (Appendices A1-A4) for a Lake Superior EcoPath with EcoSim (EwE; http://ecopath.org) model parameterized to the early 21st century using 2001-2016 collections. The data presented here are primarily intended to development a static ecosystem model representing a snapshot of Lake Superior circa 2005 when the bulk of information was collected. Input data were compiled from multiple federal, state, provincial, and tribal agencies, academic institutions, published reports, theses, and peer review journal articles. This dataset includes results from lake-wide Cooperative Science and Monitoring Initiative surveys (CSMI; CSMI 2020) of Lake Superior undertaken in 2005-06, 2011 and 2016. We provide results of three lake-wide acoustic surveys (2003-2006, 2011 and 2016) that provided biomass estimates (kg/ha) of pelagic prey (cisco, bloater, kiyi and rainbow smelt); the later two (2011 and 2016) were part of the larger CSMI efforts. Our inputs on fish rely heavily on data included in Isaac (2010) who used USGS bottom trawl samples. These trawl data had been included in a previously released data set (Great Lakes Science Center 2019). We include these samples in the current release because we made a QA/QC effort to verify that the results of Isaac (2010) could be reproduced. We found that biomass estimates were close to that reported by Isaac (2010) for most groups (see associated metadata record process step 8 for details), but not exact. We opted to use biomass estimates as reported in Isaac (2010) for four species because his production to biomass (P/B) we’re using in the EcoPath model are explicitly linked to the biomass estimates provided by Isaac (2010). Collectively, these data represent the best available estimates of lake-wide population characteristics (biomass, production, consumption, diet, harvest, etc.) across trophic levels from bacteria to sea lamprey. Readers interested in learning more details about this data compilation and balancing of this Lake Superior ecosystem model should read the associated manuscript (Matthias, et al.), which is noted in the metadata cross reference section. \n\nThis dataset is associated with the following publication:\nMatthias, B., T. Hrabik, J. Hoffman, O. Gorman, M. Seider, M. Sierszen, M. Vinson, D. Yule, and P. Yurista. Trophic transfer efficiency in the Lake Superior food web: Assessing the impacts of non-native species.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(4): 1146-1158, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526073",
      "keyword": [
        "7087",
        "Trophic Transfer Efficiency",
        "food web",
        "ecosystem function"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/5f43d7c682ce4c3d1222d328",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5f43d7c682ce4c3d1222d328",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-08",
      "references": [
        "https://doi.org/10.1016/j.jglr.2021.04.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Leveraging ancillary benefits from urban greenspace—a case study of St. Louis, MO  ",
      "description": "Testing in St. Louis, Missouri a framework for leveraging ancillary benefits while managing stormwater using greenspace. \n\nThis dataset is associated with the following publication:\nJordan, P., F. Hoover, and M. Hopton. Leveraging ancillary benefits from urban greenspace—a case study of St. Louis, Missouri.   Urban Water Journal. Taylor & Francis Group, London,  UK, 19(3): 314-323, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520581",
      "keyword": [
        "Greenspace",
        "framework",
        "ecosystem services",
        "Green Infrastructure",
        "scenario planning",
        "stormwater management"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_Data_StL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520581/SciHub_Data_StL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-12-04",
      "references": [
        "https://doi.org/10.1080/1573062x.2021.2001544"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-pk1b_dataset_20181121.xlsx",
      "description": "The dataset contains the raw data for the graphs in the paper. \n\nThis dataset is associated with the following publication:\nSmith, M., S. Stuntz, Y. Xing, M. Magnuson, R. Phillips, and W.F. Harper. Functional resilience of activated sludge exposed to Bacillus globigii and bacteriophage MS2.   Water and Environment Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 35(3): 930-936, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1503193",
      "keyword": [
        "Respirometry",
        "fluorescence",
        "inhibition",
        "biocontaminant",
        "bacteriophage MS2",
        "Bacillus globigii"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-pk1b_dataset_20181121.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503193/MagnusonMatthew_A-pk1b_dataset_20181121.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-12-04",
      "references": [
        "https://doi.org/10.1111/wej.12682"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MAC Manuscript",
      "description": "Culture presence/absence of M. avium and M. intracellulare by sample\nqPCR M. avium and M. intracellular detection and quatification by sample. \n\nThis dataset is associated with the following publication:\nPfaller, S., D. King, J. Mistry, and M. Donohue. Occurrence Revisited - Mycobacterium avium and Mycobacterium intracellulare in Potable Water in the USA.   Applied Microbiology and Biotechnology. Springer, New York, NY, USA, 106: 2715–2727, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519411",
      "keyword": [
        "Mycobacterium avium",
        "Mycobacterium intracelluare",
        "Mycobacterium avium Complex",
        "Culture method",
        "qPCR methods"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Final MAC manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519411/SciHub%20Final%20MAC%20manuscript.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-18",
      "references": [
        "https://doi.org/10.1007/s00253-022-11849-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub Data for Mn_Stress McDaniel v1",
      "description": "Data used for SAS analysis for USV, ASR/PPI, MA, SA, and CMP. \n\nThis dataset is associated with the following publication:\nMcDaniel, K., T. Beasley, W. Oshiro, M. Huffstickler, V. Moser, and D. Herr. Impacts of a perinatal exposure to manganese coupled with maternal stress in rats:  Tests of untrained behaviors..   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 91(107088): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523333",
      "keyword": [
        "perinatal stress",
        "manganese",
        "neurobehavioral tests"
      ],
      "contactPoint": {
        "fn": "Katherine McDaniel",
        "hasEmail": "mailto:mcdaniel.kathy@epa.gov"
      },
      "distribution": [
        {
          "title": "Mn_Stress McDaniel ScienceHub Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523333/Mn_Stress%20McDaniel%20ScienceHub%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-28",
      "references": [
        "https://doi.org/10.1016/j.ntt.2022.107088"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Paper 2 Method 200.8",
      "description": "Data is for the Paper 2 Method 200.8 update on M2+ interference correction approaches. \n\nThis dataset is associated with the following publication:\nSmith, S., R. Martin, N. Hanks, P. Creed, K. Kovalcik, R. Wilson, K. Kubachka, J. Brisbin, J. Landero Figueroa, and J. Creed. An evaluation of M2+ interference correction approaches associated with As and Se in ICP-MS using a multi-day dataset along with ICP-MS/MS/HR-ICP-MS based analysis and hierarchical modeling as a means of assessing bias in fortified drinking waters and single component matrices.   JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. Royal Society of Chemistry, Cambridge,  UK, 37(4): 898-909, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523150",
      "keyword": [
        "ICP-MS",
        "Interference",
        "M2+ corrections",
        "Rare Earth Elements"
      ],
      "contactPoint": {
        "fn": "John Creed",
        "hasEmail": "mailto:creed.jack@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Figure S3A and S3B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Supplemental%20Figure%20S3A%20and%20S3B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Figure S1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Supplemental%20Figure%20S1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Figure%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 A & B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Figure%202%20A%20%26%20B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 1 paper 2 Method 200.8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Figure%201%20paper%202%20Method%20200.8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Modeling workflow supplement.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Modeling%20workflow%20supplement.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Figure S4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523150/Supplemental%20Figure%20S4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-27",
      "references": [
        "https://doi.org/10.1039/d1ja00407g"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening",
      "description": "Dataset for article ‘Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening’ published 02/16/2022 in Neurotoxicology, a section of the journal Frontiers in Toxicology, part of the Special Research Topic: Methods and Protocols in Neurotoxicology. The zip data file contains 10 files; a 'Data for hNP1 Methods Paper' Word document, 7 Figure files in Excel, and 2 Table files in Excel. \n\nThis dataset is associated with the following publication:\nCulbreth, M., J. Nyffeler, C. Willis, and J. Harrill. Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening (Frontiers in Toxicology).   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 3: 803987, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524723",
      "keyword": [
        "High Throughput Phenotypic Profiling",
        "computational toxicology",
        "Developmental neurotoxicology",
        "method development",
        "human-derived cells"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://epa.figshare.com/articles/dataset/HTPP_Methods/16695265",
          "accessURL": "https://epa.figshare.com/articles/dataset/HTPP_Methods/16695265",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-28",
      "references": [
        "https://doi.org/10.3389/ftox.2021.803987"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Effects of a 28-day early life stage exposure to carbaryl on fathead minnow long-term growth and reproduction",
      "description": "The US Environmental Protection Agency conducts ecological risk assessments with a battery of fish toxicity tests that include acute, early life stage, and reproduction tests.  While endpoints in these tests (survival, growth and reproduction) are conceptually related, because they are measured in separate exposures, the quantitative relationships between them are difficult to determine and largely ignored.  In the current test, fathead minnows (FHM) were exposed for 28 days to 1 mg/L or 2 mg/L carbaryl, a well-studied carbamate insecticide, in early life stages and then reared in clean water until adulthood, when reproduction was assessed.  Also. weekly growth measurements were taken throughout the test to determine growth rates during and after exposure.  Growth curves derived from these measurements were then compared to the reproductive output.  The data indicate that carbaryl reduced growth rate only for a brief time early in the exposure.  However, this brief effect impacted overall growth into adulthood and lowered the reproductive output of exposed FHM.  The effect of a transient exposure early in life to carbaryl could have later population-level impacts by causing mortality, lowering growth rates, and reducing reproductive output. \n\nThis dataset is associated with the following publication:\nFlynn, K., S. Kadlec, V. Kurker, and M. Etterson. Effects of a 28-day early life stage exposure to carbaryl on fathead minnow long-term growth and reproduction.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 242: 106018, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520973",
      "keyword": [
        "carbaryl",
        "growth",
        "Ecological model",
        "aquatic toxicity",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-038051 Carbaryl ELS_Reprod Science Hub Data File 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520973/ORD-038051%20Carbaryl%20ELS_Reprod%20Science%20Hub%20Data%20File%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-12",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2021.106018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA",
      "description": "The datafile contains data associated with analytical chemistry, fish gene expression, in vitro bioassays, chemical prioritization, and Attagene data for surface water monitoring and caged fish studies on the South Platte River (Colorado, USA) in 2018 and 2019. \n\nThis dataset is associated with the following publication:\nCavallin, J., J. Beihoffer, B. Blackwell, A. Cole, D. Ekman, R. Hofer, A. Jastrow, J. Kinsey, K. Keteles, E. Maloney, J. Parman, D. Winkelman, and D. Villeneuve. Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 289: 117928, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1521103",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "S. Platte Science Hub Final_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521103/S.%20Platte%20Science%20Hub%20Final_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-15",
      "references": [
        "https://doi.org/10.1016/j.envpol.2021.117928"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WM_betasdam Final data and code",
      "description": "Hydrological, biological, geomorphological, and geospatial datasets collected from the Western Mountains of the United States used to develop the beta SDAM for the Western Mountains.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526066",
      "keyword": [
        "hydrology",
        "intermittent",
        "Adverse Outcome Pathways (AOPs)",
        "perennial",
        "temporary",
        "classification",
        "rapid assessment",
        "permanence",
        "ephemeral",
        "indicators"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "WM_betasdam_Final_data_and_code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526066/WM_betasdam_Final_data_and_code.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Houston Study",
      "description": "ERMI-Like data for the 36 molds that make-up the ERMI panel. \n\nThis dataset is associated with the following publication:\nVesper, S., K.G. Libuit, N. Esguerra, and A. Cross. Assessment of mold contamination in hurricane-damaged homes in Houston, Texas after sanitization by volunteers.   Annals of Civil and Environmental Engineering. Heighten Science Publications Inc. (HSPI), East Windsor, CT, USA, 6: 003-007, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1506000",
      "keyword": [
        "mold",
        "sanitized",
        "ERMI-like",
        "volunteers",
        "air samples"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Houston Study Stics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506000/Houston%20Study%20Stics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-12",
      "references": [
        "https://doi.org/10.29328/journal.acee.1001033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Validating the Use of Lyophilized Natural Organic Matter as Background Material in GAC Rapid Small-Scale Column Tests\"",
      "description": "dataset includes the data used to create the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nAbulikemu, G., T. Speth, J. Vogt, M. Meyer, Y. Hong, and J. Pressman. Validating the Use of Lyophilized Natural Organic Matter as Background Material in GAC Rapid Small-Scale Column Tests.   Journal of Water Process Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 47: 102773, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524320",
      "keyword": [
        "Microcystin-LR",
        "lyophilized",
        "GAC",
        "RSSCT",
        "reconstituted",
        "NOM",
        "natural organic matter"
      ],
      "contactPoint": {
        "fn": "Jonathan Pressman",
        "hasEmail": "mailto:pressman.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "NOM paper data for figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524320/NOM%20paper%20data%20for%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-21",
      "references": [
        "https://doi.org/10.1016/j.jwpe.2022.102773"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from \"Assessment of a regulatory measurement system for the determination of the non-volatile particulate matter emissions from commercial aircraft engines\" published in Journal of Aerosol Science 2021",
      "description": "The SAE International has published Aerospace Information Report (AIR) 6241 which outlined\nthe design and operation of a standardized measurement system for measuring non-volatile\nparticulate matter (nvPM) mass and number emissions from commercial aircraft engines. Prior\nto this research, evaluation of this system by various investigators revealed differences in nvPM mass emissions measurement on the order of 15–30% both within a single sampling system and\nbetween two systems operating in parallel and measuring nvPM mass emissions from the same\nsource. To investigate this issue, the U. S. Environmental Protection Agency in collaboration with\nthe U. S. Air Force’s Arnold Engineering Development Complex initiated the VAriable Response In\nAircraft nvPM Testing (VARIAnT) research program to compare nvPM measurements within and\nbetween AIR-compliant sampling systems used for measuring combustion aerosols generated both\nby a 5201 Mini-CAST soot generator and a J85-GE-5 turbojet engine burning multiple fuels. The\nVARIAnT research program has conducted four test campaigns to date. The first campaign\n(VARIAnT 1) compared two essentially identical commercial versions of the sampling system\nwhile the second campaign (VARIAnT 2) compared a commercial system to the custom-designed\nMissouri University of Science and Technology’s North American Reference System (NARS) built\nto the same specifications. Comparisons of nvPM particle mass (i.e., black carbon), number, and\nsize were conducted in both campaigns. Additionally, the sensitivity to variation in system\noperational parameters was evaluated in VARIAnT 1. Results from both campaigns revealed\nagreement of about 12% between the two sampling systems, irrespective of manufacturer, in all\naspects except for black carbon determination. The major source of measurement differences\n(20–70%) was due to low BC mass measurements made by the Artium Technologies LII-300 as\ncompared to the AVL 483 Micro-Soot Sensor, the Aerodyne Cavity Attenuated Phase Shift (CAPS\nPMSSA) monitor, and the thermal-optical reference method for elemental carbon (EC) determination, which was used as the BC reference. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526379",
      "keyword": [
        "combustion aerosols",
        "aerosol sampling sytems",
        "aircraft turbine engines",
        "Black Carbon Aerosol"
      ],
      "contactPoint": {
        "fn": "Robert Giannelli",
        "hasEmail": "mailto:giannelli.bob@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nihms.nih.gov/submission/1801655/",
          "accessURL": "https://www.nihms.nih.gov/submission/1801655/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-31",
      "references": [
        "https://dx.doi.org/10.1016/j.jaerosci.2020.105734"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cost function data for the Bob McEwen Water Treatment Plant (2013-2016)",
      "description": "Data set used to estimate the autoregressive distributed lag (ADL) model to understand how water quality measures (e.g., raw water TOC and algal toxin) and other variables affect drinking water treatment costs at the Bob McEwen Water Treatment Plant in southwestern OH. \n\nThis dataset is associated with the following publication:\nHeberling, M., J.I. Price, C. Nietch, M. Elovitz, N. Smucker, D.A. Schupp, A. Safwat, and T. Neyer. Linking Water Quality to Drinking Water Treatment Costs Using Time Series Analysis: Examining the Effect of a Treatment Plant Upgrade in Ohio.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 58(5): e2021WR031257, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521145",
      "keyword": [
        "water quality",
        "source water",
        "drinking water",
        "economic analysis",
        "time series analysis",
        "cost function"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Heberling_CostFunction_BMWTP2013-2016_4-6-21.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521145/Heberling_CostFunction_BMWTP2013-2016_4-6-21.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-25",
      "references": [
        "https://doi.org/10.1029/2021wr031257"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput sequencing taxonomic identification and morphology-based taxonomic identification raw data",
      "description": "The files include the presence/absence data by sample for either high-throughput sequencing-based taxonomy or morphology-based taxonomy. The files also include our estimates of the species' biomass in each sample, along with the presence/absence classification by taxonomic method. \n\nThis dataset is associated with the following publication:\nHoffman, J., C. Meredith, E. Pilgrim, A. Trebitz, C. Hatzenbuhler, J. Kelly, G. Peterson, J. Lietz, S. Okum, and J. Martinson. Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection.   CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES. NRC Research Press, Ottawa,  CANADA, 78(6): 752-764, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520945",
      "keyword": [
        "DNA metabarcoding",
        "taxonomy",
        "invasive species",
        "monitoring",
        "ichthyoplankton"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cdnsciencepub.com/doi/abs/10.1139/cjfas-2020-0224",
          "accessURL": "https://cdnsciencepub.com/doi/abs/10.1139/cjfas-2020-0224",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OTUclusterTables_bothPrimers.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520945/OTUclusterTables_bothPrimers.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MorphID.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520945/MorphID.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fish_biomass_data_1_20_20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520945/Fish_biomass_data_1_20_20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-08",
      "references": [
        "https://doi.org/10.1139/cjfas-2020-0224"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linear combination fitting predictions of Zn speciation",
      "description": "EPA generated data: . Linear combination fitting predictions of Zn speciation composition in embryos, endosperms and whole kernels of ‘Hybrix 5’ sweetcorn and ‘Thai Floury 2’ maize (Zea mays) at 21, 28 and 56 d after pollination (DAP). There are no R-factor values for whole kernel samples, as the speciation estimates are calculated values from individual tissue analysis instead of LCF predictions. \n\nThis dataset is associated with the following publication:\nCheah, Z.X., P. Kopittke, K. Scheckel, M. Noerpel, and M. Bell. Comparison of Zn accumulation and speciation in kernels of sweetcorn and maize differing in maturity.   Annals of Botany. Oxford University Press, Cary, NC, USA, 125(1): 185-193, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526320",
      "keyword": [
        "bioavailability",
        "Speciation",
        "synchrotron",
        "biofortification"
      ],
      "contactPoint": {
        "fn": "Matthew Noerpel",
        "hasEmail": "mailto:noerpel.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures and Tables (final) - PKMB.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526320/Figures%20and%20Tables%20%28final%29%20-%20PKMB.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3 Linear Combination Results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526320/Table%203%20Linear%20Combination%20Results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-13",
      "references": [
        "https://doi.org/10.1093/aob/mcz179"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Calnex HCl Modeling",
      "description": "The data correspond to Fig. 7 and Fig. 8 of the following article:\n\nTao et al. (2022) Hydrogen chloride (HCl) at ground sites during CalNex 2010 and insight into its thermodynamic properties.  Journal of Geophysical Research-Atmospheres  https://doi.org/10.1029/2021JD036062. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526390",
      "keyword": [
        "HCl",
        "pm2.5",
        "CalNex",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "James Kelly",
        "hasEmail": "mailto:kelly.james@epa.gov"
      },
      "distribution": [
        {
          "title": "calnex_hcl_model_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526390/calnex_hcl_model_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-29",
      "references": [
        "https://dx.doi.org/10.1029/2021jd036062"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset accompanying Koplitz et al., 2021: \"Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016\"",
      "description": "This dataset provides key data files and scripts used in the analysis for the published manuscript \"Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016\" ; https://pubs.acs.org/doi/abs/10.1021/acsenvironau.1c00029. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524756",
      "keyword": [
        "Ozone",
        "chemical sensitivity",
        "CAMx-HDDM",
        "DOW"
      ],
      "contactPoint": {
        "fn": "Shannon Koplitz",
        "hasEmail": "mailto:koplitz.shannon@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/abs/10.1021/acsenvironau.1c00029",
          "accessURL": "https://pubs.acs.org/doi/abs/10.1021/acsenvironau.1c00029",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_Koplitz_et_al_2021.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524756/README_Koplitz_et_al_2021.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524756/data_files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524756/scripts.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-15",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting information for the paper \"Choices in land representation materially affect biofuel carbon intensity estimates\"",
      "description": "Various assets supporting the implementation of the models used in the paper \"Choices in land representation materially affect biofuel carbon intensity estimates\". These include:\n\nSpreadsheets with data used to create (i) new geographic regionalization, and (ii) new land representation\nPython scripts that extract CSV files from the above and format them as required for the GCAM data system\nModified input files used in the GCAM data system (generated from the spreadsheets and scripts above)\nModified R script to handle new land representation, including files generated by the above\nInput files for pygcam to run the scenarios modeled, and to compute carbon intensity\nREADME file. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524796",
      "keyword": [
        "biofuel",
        "Land Use Change Model",
        "land use change"
      ],
      "contactPoint": {
        "fn": "Herbert Levy",
        "hasEmail": "mailto:levy.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/5093793#.YkRZVSjMI2w",
          "accessURL": "https://zenodo.org/record/5093793#.YkRZVSjMI2w",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-12",
      "references": [
        "https://dx.doi.org/10.1016/j.jclepro.2022.131477"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Long-term assessment of floodplain reconnection as a stream restoration approach for managing nitrogen in ground and surface waters",
      "description": "These data are surface water and groundwater chemistry collected at an urban stream in Baltimore MD, USA. \n\nThis dataset is associated with the following publication:\nMayer, P., M. Pennino, T. Newcomer-Johnson, and S. Kaushal. Long-term assessment of floodplain reconnection as a stream restoration approach for managing nitrogen in ground and surface waters.   Urban Ecosystems. Springer Science+Business Media B.V, Dordrecht,  NETHERLANDS,  s11252-021-01199-z, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520903",
      "keyword": [
        "denitrification",
        "floodplain reconnection",
        "geomorphology",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Doheny mbweeklysw 2002-2008 v2.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520903/Doheny%20mbweeklysw%202002-2008%20v2.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-07",
      "references": [
        "https://doi.org/10.1007/s11252-021-01199-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Early detection monitoring for non-indigenous fishes; comparison of survey approaches during two species introductions in a Great Lakes port",
      "description": "Associated data for each of the three survey approaches (adult-juvenile, ichthyoplankton, eDNA) follow on individual tabs. Data rows correspond to individual sampling events. Distinctions are made below where survey approaches differ for the same column header. \n\nThis dataset is associated with the following publication:\nPeterson, G., J. Hoffman, A. Trebitz, C. Hatzenbuhler, J. Myers, J. Ross, S. Okum, and E. Pilgrim. Early detection monitoring for non-indigenous fishes; comparison of survey approaches during two species introductions in a Great Lakes port.   Biological Invasions. Springer SBM, New York, NY, USA,  463-478, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526391",
      "keyword": [
        "Non-Indigenous Fishes",
        "monitoring",
        "early detection",
        "7189"
      ],
      "contactPoint": {
        "fn": "Gregory Peterson",
        "hasEmail": "mailto:peterson.greg@epa.gov"
      },
      "distribution": [
        {
          "title": "Peterson_et_al_2021_data_2015-2018_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526391/Peterson_et_al_2021_data_2015-2018_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-23",
      "references": [
        "https://doi.org/10.1007/s10530-021-02655-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw sequencing data set for urine MEC study",
      "description": "These data include raw sequencing data (bacterial 16S rRNA genes), a sample identification meta file, and a summary result table for bacteria classification in an Excel file. \n\nThis dataset is associated with the following publication:\nHwang, J., S. Fahad, H. Ryu, K. Rodriguez, J. SantoDomingo, A. Kushima, and W.H. Lee. Recycling urine for bioelectrochemical hydrogen production using a MoS2 nano carbon coated electrode in a microbial electrolysis cell.   JOURNAL OF POWER SOURCES. Elsevier Science Ltd, New York, NY, USA, 527: 231209, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520741",
      "keyword": [
        "Ammonia-nitrogen",
        "electrodeposition",
        "MEC",
        "MoS2-NC cathode",
        "urine"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "UCF4_R2_001.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/UCF4_R2_001.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UCF4_R1_001.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/UCF4_R1_001.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UCF3_R2_001.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/UCF3_R2_001.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UCF3_R1_001.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/UCF3_R1_001.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sample identification.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/Sample%20identification.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bacteria classification.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520741/Bacteria%20classification.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-28",
      "references": [
        "https://doi.org/10.1016/j.jpowsour.2022.231209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Density data for Lake Ontario benthic invertebrate assemblages from 1964 to 2018",
      "description": "Benthic invertebrates are important trophic links in aquatic food webs and serve as useful bioindicators of environmental conditions because their responses integrate the effects of both water and sediment qualities. However, long-term data sets for benthic invertebrate assemblages across broad geographic areas are rare and, even if collected, historic data sets are often not readily accessible. This data set provides densities of benthic macroinvertebrates for all taxa collected during lake-wide surveys in Lake Ontario, a Laurentian Great Lake, from 1964 to 2018. This information resulted from surveys funded by the governments of the United States and Canada to investigate the status and changes of Lake Ontario benthic community. Of the 13 lake-wide benthic surveys conducted in Lake Ontario over the course of 54 yr, we were able to acquire taxonomic data to the species level for 11 of the surveys and data to the group level for the other two surveys. Density data are provided for taxa representing the Annelida, Arthropoda, Mollusca, Cnidaria, Nemertea, and Platyhelminthes phyla. Univariate and multivariate analyses revealed that the compositional structure of Lake Ontario invertebrate assemblages differed markedly by depth and were also significantly altered by the Dreissena spp. invasion in early 1990s. The introduction of invasive dreissenids has changed the community historically dominated by Diporeia, Oligochaeta, and Sphaeriidae, to a community dominated by quagga mussels and Oligochaeta. Considering the rarity of long-term benthic data of high taxonomic resolution in lake ecosystems, this data set could be useful to explore broader aspects of ecological theory, including effects of different environmental factors and invasive species on community organization, functional and phylogenetic diversity, and spatial scale of variation in community structure. The data set could also be useful for studies on individual species including abundance and distribution, species co-occurrence, and how the patterns of dominance and rarity change over space and time. Use of this data set for academic or educational purposes is encouraged as long as the data source is properly cited using the title of this Data Paper, the names of the authors, the year of publication, the journal name, and the article number. \n\nThis dataset is associated with the following publication:\nKaratayev, A., L. Burlakova, K. Mehler, A. Elgin, L. Rudstam, J. Watkins, and M. Wick. Dreissena in Lake Ontario 30 years post-invasion.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(2): 264-273, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524702",
      "keyword": [
        "Dreissena",
        "Lake Ontario",
        "Benthos"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.3528",
          "accessURL": "https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecy.3528",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-30",
      "references": [
        "https://doi.org/10.1016/j.jglr.2020.11.010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cytotoxicity and Oxidative Stress Induced by Atmospheric Mono-Nitrophenols in Human Lung Cells",
      "description": "GC-MS chromatograms of silylated samples from the\nphotooxidation of toluene in the presence of NOx showing the secondary origin of nitrophenols. \n\nThis dataset is associated with the following publication:\nKhan, F., M. Jaoui, K. Rudziński, K. Kwapiszewska, A. Martinez-Romero, D. Gil-Casanova, M. Lewandowski, T. Kleindienst, J. Offenberg, J.D. Krug, J. Surratt, and R. Szmigielski. Cytotoxicity and Oxidative Stress Induced by Atmospheric Mono-Nitrophenols in Human Lung Cells.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 301(15): 119010, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523335",
      "keyword": [
        "Aromatic Hydrocarbons",
        "Inhibitory Concentration-50",
        "Reactive oxygen species",
        "A549 cells",
        "BEAS-2B Cells"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "Faria_NPs-paper_STICS_9-28-21_MJaoui.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523335/Faria_NPs-paper_STICS_9-28-21_MJaoui.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-11",
      "references": [
        "https://doi.org/10.1016/j.envpol.2022.119010"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of the changes in bacterial outer membrane structure on the anti-bacterial activity of zinc oxide nanoparticles",
      "description": "The file contains the raw data that was used to generate Figure 2 and 4 from the manuscript Surwade, P., Luxton, T., Clar, J., Xin, F. and Shah, V.H. (2020) Impact of the changes in bacterial outer membrane structure on the anti-bacterial activity of zinc oxide nanoparticles. J. Nanopart. Res. 22, 8. \n\nThis dataset is associated with the following publication:\nSurwade, P., T. Luxton, J. Clar, F. Xin, and V. Shah. Impact of the changes in bacterial outer membrane structure on the anti-bacterial activity of zinc oxide nanoparticles.   Journal of Nanoparticle Research. Springer SBM, New York, NY, USA, 22: 43, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526409",
      "keyword": [
        "outer membrane",
        "Zinc Oxide",
        "Haemophilus influenzae",
        "Antibacterial activity",
        "Nanoparticle"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526409/Manuscript%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-02",
      "references": [
        "https://doi.org/10.1007/s11051-020-4767-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Rivers and Streams Data Set",
      "description": "EPA data is publicly available via the EPA/NARS/NRSA website. (https://www.epa.gov/national-aquatic-resource-surveys/nrsa). The non-EPA data benthic macroinvertebrate data used belonged to the New Mexico Environment Department (NMED) and is described in the QAPP. The non-EPA fish data belonged to the NMED, the Museum of Southwestern Biology, the U.S. Fish and Wildlife Service. All this data was analyzed by Tetra Tech Inc. by contarct of EPA Region 6. Portions of this dataset are inaccessible because: Data belongs to the New Mexico Environment Department (NMED) and the  Museum of Southwestern Biology, the US Fish and Wildlife Service. They can be accessed through the following means: The data that support the findings of this study are available from the corresponding author upon reasonable request.\r\n\r\nCorrespondence:\r\nRobert M. Hughes, Department of Fisheries, Wildlife, & Conservation Sciences, Amnis Opes Institute; Oregon State University, Corvallis, OR, USA.\r\nEmail: hughes.bob@amnisopes.com. Format: The non-EPA data benthic macroinvertebrate data used belonged to the New Mexico Environment Department (NMED) and is described in the QAPP. The non-EPA fish data belonged to the NMED, the Museum of Southwestern Biology, the U.S. Fish and Wildlife Service. \n\nThis dataset is associated with the following publication:\nHughes, R.M., M. Zeigler, S. Stringer, G. Linam, J. Flotemersch, B. Jessup, S. Joseph, G. Jacobi, L. Guevara, R. Cook, P. Bradley, and K. Barrios. Biological assessment of western USA sandy bottom rivers based on modeling historical and current fish and macroinvertebrate data.   River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 38(4): 639-656, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524639",
      "keyword": [
        "Rio Grande",
        "flow regime alteration",
        "bioassessment",
        "Biological condition gradient"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/nrsa",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/nrsa",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-02",
      "references": [
        "https://doi.org/10.1002/rra.3929"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Difficult vs Easy SciHUB 3-6-21.xlsx ",
      "description": "The data set describes each sample number and the designation of the child's asthma as either difficult or easy to treat.  Then the results of the Environmental Relative Moldiness Index (ERMI)analysis is then provided for each sample.  Next the components of the ERMI (Group 1, Group 2 and ERMI values are statistically compared. Then the concentrations of each of the 36 ERMI molds are statistically compared.  Finally, the occurrence of a window air-conditioner in each of the homes is shown for homes of children with difficult- or easy-to treat-asthma is provided. \n\nThis dataset is associated with the following publication:\nVesper, S., L. Wymer, J. Kroner, J.A. Pongracic, E.M. Zoratti, F.F. Little, R.A. Wood, C.M. Kercsmar, R.S. Gruchalla, M.A. Gill, M. Kattan, S.J. Teach, S. Patel, C.C. Johnson, L.B. Bacharier, J.E. Gern, D.J. Jackson, S.M. Sigelman, A. Togias, A.H. Liu, W.W. Busse, and G.K. Khurana Hershey. Association of Mold Levels in Urban Children’s Homes with Difficult-to-Control Asthma.   JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. Journal of Allergy Clinical Immunology,    149(4): 1481-1485, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521134",
      "keyword": [
        "ERMI",
        "group 1",
        "group 2",
        "mucor",
        "mold",
        "difficult-to-treat asthma",
        "air-conditioner",
        "children"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Difficult vs Easy SciHUB 3-6-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521134/Difficult%20vs%20Easy%20SciHUB%203-6-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-06",
      "references": [
        "https://doi.org/10.1016/j.jaci.2021.07.047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Swiss Needle Cast Foliage Retention Metrics for Coastal Oregon",
      "description": "Nothophaeocryptopus gaeumannii is a common native, endophytic fungus of Douglas-fir foliage, which causes Swiss needle cast, an important foliage disease that is considered a threat to Douglas-fir plantations in Oregon. Disease expression is influenced by fungal fruiting bodies (pseudothecia), which plug the stomata and inhibit gas exchange.  We measured foliar retention and the density of pseudothecia occluding stomates across 2- to 5-year-old needles from upper, middle and lower canopy positions of mature trees at three sites in the Oregon Coast Range and two sites in the western Oregon Cascade Mountains. \n\nThis dataset is associated with the following publication:\nShaw, D.C., G. Ritóková, Y.  Lan, D.B.  Mainwaring, A. Russo, R. Comeleo, S. Navarro, D. Norlander, and B. Smith. Persistence of the Swiss Needle Cast Outbreak in Oregon Coastal Douglas-fir, and New Insights from Research and Monitoring.   JOURNAL OF FORESTRY. Society of American Foresters, Bethesda, MD, USA, 119(4): 407-421, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520152",
      "keyword": [
        "climate change",
        "dendrochronology",
        "Douglas-fir",
        "Pacific Decadal Oscillation",
        "Pacific Northwest",
        "Swiss needle cast"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "Swiss Needle Cast Foliage Retention Metrics for Coastal Oregon.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520152/Swiss%20Needle%20Cast%20Foliage%20Retention%20Metrics%20for%20Coastal%20Oregon.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-14",
      "references": [
        "https://doi.org/10.1093/jofore/fvab011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "wildfire impacts on water temperature",
      "description": "This table provides all the source websites that were used in the dataset for this journal article",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522928",
      "keyword": [
        "evapotranspiration",
        "stream temperature",
        "stream flow",
        "precipitation",
        "air temperature",
        "burn area severity",
        "watershed boundaries"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Table S1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/Supplementary%20Table%20S1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Water_Temperature_Data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/Water_Temperature_Data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "PPT_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/PPT_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "PET_data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/PET_data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Discharge_data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/Discharge_data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "AirTemp_Data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522928/AirTemp_Data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2021-07-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR spectra, gravimetric PM2.5 mass, TOT OC-EC, and GC-MS PAH data set",
      "description": "For the manuscript titled \"Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR\" by Li et al., EPA measured gravimetric PM2.5 mass, TOT OC-EC measurements, and GC-MS PAH measurements. Predictive models and predictions built from EPA data were performed at the Swiss Federal Institute of Technology Lausanne (EPFL).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524784",
      "keyword": [
        "OC-EC",
        "cookstove",
        "FTIR",
        "particle matter"
      ],
      "contactPoint": {
        "fn": "Emily Li",
        "hasEmail": "mailto:li.emily@epa.gov"
      },
      "distribution": [
        {
          "title": "readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524784/readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cstove-spectra.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524784/cstove-spectra.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cstove-PAH.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524784/cstove-PAH.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cstove-OC-EC.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524784/cstove-OC-EC.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental verification of principal losses in a regulatory particulate matter emissions sampling system for aircraft turbine engines",
      "description": "Experimental verification of principal losses in a regulatory particulate matter emissions sampling system for aircraft turbine engines. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526420",
      "keyword": [
        "aircraft turbine engines",
        "Aircraft Engine Emissions",
        "particle transport losses",
        "Black Carbon Aerosol"
      ],
      "contactPoint": {
        "fn": "Robert Giannelli",
        "hasEmail": "mailto:giannelli.bob@epa.gov"
      },
      "distribution": [
        {
          "title": "uast_a_1971152_sm2834.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526420/uast_a_1971152_sm2834.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Experimental verification of principal losses in a regulatory particulat.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526420/Experimental%20verification%20of%20principal%20losses%20in%20a%20regulatory%20particulat.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_fig3_fig4_220505.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526420/Data_fig3_fig4_220505.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-30",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LaKind et al. PFAS and Breast Milk",
      "description": "This file contains data used in: Judy S. LaKind, Marc-Andre Verner, Rachel Rogers, Helen Goeden, Daniel Q. Naiman, Satori A. Marchitti, Geniece M. Lehmann, Erin P. Hines, Suzanne E. Fenton. (2021) Current breast milk PFAS levels in the US and Canada: After all this time why don’t we know more?\n\nTo estimate nationally representative breast milk concentrations for the US and Canada, we used serum PFOS, PFOA, PFHxS, and PFNA data from the NHANES and the Canadian Health Measures Survey, respectively. To estimate milk concentrations in communities with a known history of PFAS drinking water contamination, geometric mean serum concentrations measured as part of the ATSDR PFAS Exposure Assessments (https://www.atsdr.cdc.gov/pfas/activities/assessments.html) were used. We also used publicly available data from the New York State Department of Health for information on the Hoosick Falls and Petersburgh areas. In Table 1. Serum PFAS, serum or plasma PFAS concentrations (ng/mL) and the number of participants in each cohort (N) are shown.\n\nMeasured serum/plasma concentrations in national surveys and communities impacted by PFAS were multiplied by milk:serum ratios to estimate breast milk PFAS levels. Figure 1. Breast Milk PFAS shows the results for each dataset. \n\nThis dataset is associated with the following publication:\nLaKind, J., M. Verner, R. Rogers, H. Goeden, D. Naiman, S. Marchitti, G. Lehmann, E. Hines, and S. Fenton. Current Breast Milk PFAS Levels in the United States and Canada: After All This Time, Why Don’t We Know More?.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(2): 1-8, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522454",
      "keyword": [
        "breast milk",
        "PFAS",
        "PFOS",
        "PFOA",
        "PFHxS",
        "PFNA",
        "NHANES",
        "CHMS",
        "serum",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Geniece Lehmann",
        "hasEmail": "mailto:lehmann.geniece@epa.gov"
      },
      "distribution": [
        {
          "title": "LaKind summary data for SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522454/LaKind%20summary%20data%20for%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-21",
      "references": [
        "https://doi.org/10.1289/ehp10359"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Food, Beverage, and Feedstock Processing Facility Wastewater: a Unique and Underappreciated Source of Contaminants to U.S. Streams",
      "description": "PCA contribution of variables; stacked barplot of PFAS compounds by facility; detected concentrations and corresponding exposure–activity ratios; toxicity quotients using aquatic life benchmarks; chemical methods; microbial methods; detected inorganic compounds; detected organic compounds; PCA eigenvalues and variances; detected bacteria growth; detected bacteria growth laboratory replicates; detected organic compounds in blank samples; surrogate recovery data; toxEval exclusions; exposure–activity ratio data by compound; exposure–activity ratio data by endpoint; aquatic life benchmark data by biocategory; organic chemicals and associated endpoint data from ToxCast; USEPA aquatic life benchmarks; and effluent and urban stormwater data from Oklahoma. This dataset is not publicly accessible because: Data were generated by US Geological Survey Researchers. It can be accessed through the following means: Data were generated by US Geological Survey Researchers. Format: Data were generated by US Geological Survey Researchers. \n\nThis dataset is associated with the following publication:\nHubbard, L., D. Kolpin, C. Givens, B. Blackwell, P. Bradley, J. Gray, R. Lane, J. Masoner, R. McCleskey, K. Romanok, M. Sandstrom, K. Smalling, and D. Villeneuve. Food, Beverage, and Feedstock Processing Facility Wastewater: a Unique and Underappreciated Source of Contaminants to U.S. Streams.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(2): 1028-1040, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523095",
      "keyword": [
        "ToxCast",
        "exposure-activity ratio",
        "chemical mixtures",
        "food process wastewater"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [],
      "modified": "2021-12-01",
      "references": [
        "https://doi.org/10.1021/acs.est.1c06821"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network",
      "description": "Table of contents\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S1\tDNT inventory\tList of sources and associated data collected for the development of the Bayesian hierarchical model. \t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S2\tData collection\tIt contains the compiled raw data.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S3\tFinal dataset\tIt contains data after curation agreed to be included in the Bayesian hierarchical model.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S4\tList of encoders\tMachine readable format used to encode the data.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S5\tMachine readable\tThe final dataset translated into a machine readable file using the encoders listed above.\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\nTable S6\tResults for DNT\tBased on the cut-offs derived from the results themselves, three classes of DNT are proposed (low, medium and high predicted probability). Results are summarised accordingly. \n\nThis dataset is associated with the following publication:\nSpinu, N., M. Cronin, J. Lao, A. Bal-Price, I. Campia, S. Enoch, J. Madden, L. Lagares, M. Novic, D. Pamies, S. Scholz, D. Villeneuve, and A. Worth. Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 21: 100206, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526406",
      "keyword": [
        "computational toxicology",
        "New Approach Methods (Alternatives to Animal Testi",
        "developmental neurotoxicity",
        "screening and prioritization",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S2468111321000529?via%3Dihub#s0070",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S2468111321000529?via%3Dihub#s0070",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-04",
      "references": [
        "https://doi.org/10.1016/j.comtox.2021.100206"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biological, watershed land use & physiochemical data from streams sampled in the Georgia Coastal Plain",
      "description": "Benthic macroinvertebrates sampled from 76 small streams in the Georgia Coastal Plain.  Additional data includes in-situ physiochemcial water quality data, physical stream habitat data and land use data in the watershed draining to the sample stream reach, as well as in the immediate riparian zone adjacent to all stream reaches upstream of the sample reach.  These data were used to develop a biological condition index for evaluating stream restoration projects in this region. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526438",
      "keyword": [
        "Stream mitigation",
        "Success criteria",
        "Macroinvertebrate index",
        "Coastal Plain",
        "headwater streams"
      ],
      "contactPoint": {
        "fn": "David Somerville",
        "hasEmail": "mailto:somerville.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "LUPhysChem data_GA (CP-HStR).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526438/LUPhysChem%20data_GA%20%28CP-HStR%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biological data_GA (CP-HStR).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526438/Biological%20data_GA%20%28CP-HStR%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-18",
      "references": [
        "https://dx.doi.org/10.1007/s10661-022-09987-6"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "useeior v1.0.0 supporting data",
      "description": "Supporting data associated with useeior v1.0.0 software.  https://github.com/USEPA/useeior/tree/v1.0.0. \nThe supporting data include model specification files, sector correspondence files, data and metadata files for all economic data used in model building, as described in the associated publication. \n\nThis dataset is associated with the following publication:\nLi, M., W.W. Ingwersen, B. Young, J. Vendries, and C. Birney. useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input–Output Models.   Applied Sciences. MDPI AG, Basel,  SWITZERLAND, 12(4): 4469, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526443",
      "keyword": [
        "USEEIO",
        "environmental input-output",
        "BEA",
        "input-output",
        "software package",
        "model builder",
        "R language"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/useeior/tree/v1.0.0/inst/extdata",
          "accessURL": "https://github.com/USEPA/useeior/tree/v1.0.0/inst/extdata",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/useeior/tree/v1.0.0/data",
          "accessURL": "https://github.com/USEPA/useeior/tree/v1.0.0/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-30",
      "references": [
        "https://doi.org/10.3390/app12094469"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/tree/v1.0.0/format_specs"
      },
      "accessRights": "public"
    },
    {
      "title": "Daphnia magna and Ceriodaphnia dubia have similar sensitivity in standard acute and chronic toxicity tests",
      "description": "Data, associated metadata, and calculation tools.. This dataset is not publicly accessible because: Data is controlled by Proctor and Gamble, and is available upon request. It can be accessed through the following means: Available from the upon request from Kristin Connors (connors.ka@pg.com). Format: Data, associated metadata, and calculation tools. \n\nThis dataset is associated with the following publication:\nConnors, K., J. Brill, T. Norberg-King, M. Barron, G. Carr, and S. Belanger. Daphnia magna and Ceriodaphnia dubia Have Similar Sensitivity in Standard Acute and Chronic Toxicity Tests.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(1): 134-147, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526452",
      "keyword": [
        "toxicity",
        "cladocerans",
        "Comparative Toxicity",
        "species sensitivity"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [],
      "modified": "2021-12-16",
      "references": [
        "https://doi.org/10.1002/etc.5249"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of deiodinase inhibition on amphibian metamorphosis",
      "description": "This dataset contains in vitro and in vivo biochemical and apical (i.e., growth/development) data pertaining to iodotyrosine deiodinase inhibition in the African clawed frog (Xenopus laevis). \n\nThis dataset is associated with the following publication:\nHaselman, J., J. Olker, P. Kosian, J. Korte, J. Denny, J. Tietge, M. Hornung, and S. Degitz. Characterization of the Mechanistic Linkages Between Iodothyronine Deiodinase Inhibition and Impaired Thyroid-Mediated Growth and Development in Xenopus Laevis Using Iopanoic Acid.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  187(1): 139-149, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522991",
      "keyword": [
        "endocrine disruption",
        "thyroid",
        "ecotoxicology",
        "adverse outcome pathway"
      ],
      "contactPoint": {
        "fn": "Jonathan Haselman",
        "hasEmail": "mailto:haselman.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Haselman_et_al_2021_IOP_data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522991/Haselman_et_al_2021_IOP_data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-06",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata: Wet nitrogen (N) deposition to urban Latin America: filling in the gaps with GEOS-Chem",
      "description": "The data include model outputs from the GEOS-Chem model and observational datasets. This dataset is not publicly accessible because: The data were not generated by EPA. It can be accessed through the following means: Data can be obtained from the Alexandra Ponette-Gonzalez, the lead author (alexandra.ponette@unt.edu). Format: Since EPA does not own the data, the format is unknown. \n\nThis dataset is associated with the following publication:\nPonette-Gonzalez, A., H. Lewis, B. Henderson, D. Carnelos, G. Pineiro, K. Weathers, and D. Schwede. Wet nitrogen (N) deposition to urban Latin America: filling in the gaps with GEOS-Chem.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 278: 119095, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523334",
      "keyword": [
        "nitrogen",
        "atmospheric deposition",
        "GEOS-Chem",
        "South America"
      ],
      "contactPoint": {
        "fn": "Donna Schwede",
        "hasEmail": "mailto:schwede.donna@epa.gov"
      },
      "distribution": [],
      "modified": "2022-05-02",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119095"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS 150 Evidence Map",
      "description": "This research effort describes a systematic evidence map of relevant health literature for ~150 Per and Polyfluoroalkyl Substances (PFAS). The literature search results, screening and tagging results, and data extractions are all available via download from the provided URLS from HERO, HAWC, and Tableau respectively.  In addition, supplemental data files that capture the literature search synonyms, strings, and results are available in the excel file.  The word file includes additional information about the results from searching gray literature and other resources consulted, as well as appendixes of human and animal design considerations. The full manuscript contains additional URLs and data with interactive visualizations. \n\nThis dataset is associated with the following publication:\nCarlson, L., M. Angrish, A. Shirke, E. Radke-Farabaugh, B. Schulz, A. Kraft, R. Judson, G. Patlewicz, R. Blain, C. Lin, N. Vetter, C. Lemeris, P. Hartman, H. Hubbard, X. Arzuaga, A. Davis, L. Dishaw, I. Druwe, H. Hollinger, R. Jones, J. Kaiser, L. Lizarraga, P. Noyes, M. Taylor, A. Shapiro, A. Williams, and K. Thayer. Systematic Evidence Map for Over One Hundred and Fifty Per- and Polyfluoroalkyl Substances (PFAS).   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(5): 1-20, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521119",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "systematic review",
        "systematic evidence map"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://public.tableau.com/profile/literature.inventory#!/vizhome/PFAS-150EvidenceMapVisualizations/HumanStudies",
          "accessURL": "https://public.tableau.com/profile/literature.inventory#!/vizhome/PFAS-150EvidenceMapVisualizations/HumanStudies",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://hero.epa.gov/hero/index.cfm/project/page/project_id/2826",
          "accessURL": "https://hero.epa.gov/hero/index.cfm/project/page/project_id/2826",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://hawc.epa.gov/assessment/100500085/",
          "accessURL": "https://hawc.epa.gov/assessment/100500085/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-28",
      "references": [
        "https://doi.org/10.1289/ehp10343",
        "https://pasteur.epa.gov/uploads/10.23719/1521119/documents/Supplemental%20Material%20final.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1521119/documents/PFAS%20150%20SEM_Supplemental%20Excel%20File%20Final.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Investigating the potential for microbially induced carbonate precipitation to treat mine waste",
      "description": "In this study, the feasibility of promoting microbially induced carbonate precipitation (MICP) in mine waste piles by using an environmental bacterial enrichment is explored, with goals to mitigate erosion and infiltration and reduce metals leaching. MICP has been widely studied as a biotechnology for use in strengthening soils, impacting permeability of porous media and fractures, and mitigating fugitive dust emissions, among other applications.  This technology has also been explored for remediation applications, including co-precipitation of radionuclides in contaminated groundwater as well as stabilization of mine waste and fly ash.  In this study, we utilize a native bacterial enrichment to promote MICP on seven mine waste samples with variability in acid production and extent of toxic metal leaching.  Over the course of fifteen applications of MICP solutions and bacteria on the surface of waste rock in bench-scale columns, calcium carbonate mineral formed on grain surfaces within the waste samples and the effluent from acid-producing wastes increased in pH during MICP treatment. The performance of MICP was evaluated with humidity cell and synthetic precipitation leaching procedure (SPLP) tests. Humidity cell and SPLP leaching tests revealed reductions in Cd, Pb and Zn in leachate of almost all samples, mixed results for Cu, and As increasing in most leachate samples after treatment. While reduction in metals leaching varied between different waste rock samples, MICP-driven formation of calcium carbonate was observed in all mine waste samples by the end of treatment. While the distribution of CaCO3 coating was uneven in microscopic images, the technology has potential for coating solid mine waste and reducing release of acid and some metals. This study provides a laboratory assessment of the feasibility of MICP to stabilize mine waste piles in situ and mitigate release of toxic metals into the environment. \n\nThis dataset is associated with the following publication:\nProudfoot, D., L. Brooks, C.H. Gammons, E. Barth, D. Bless, R.M. Nagisetty, and E.G.  Lauchnor. Investigating the potential for microbially induced carbonate precipitation to treat mine waste.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 424 part C: 127490, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524797",
      "keyword": [
        "waste rock",
        "bacterial ureolysis",
        "calcium carbonate",
        "leaching tests"
      ],
      "contactPoint": {
        "fn": "Edwin Barth",
        "hasEmail": "mailto:barth.ed@epa.gov"
      },
      "distribution": [
        {
          "title": "Humidity Cells Data_26Oct.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524797/Humidity%20Cells%20Data_26Oct.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-06-01",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2021.127490",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Drainage%20efficiency%20of%20tailings.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Humidity%20Cell%20Results.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Metal%20concentrations%20in%20tailings.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/MICP%20Effluent%20pH%20of%20leachate.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Temporal%20profile%20of%20effluent%20pH.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Grain%20Size%20Distribution%20of%20Tailings.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Leaching%20results%20pre%20vs.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/Surface%20precipitation%20of%20calcium%20carbonate.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/MICP%20SEM%20photos.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1524797/documents/microscopy%20images%20MICP.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Private Domestic Well Estimates (2010)",
      "description": "This data provides improved estimates of the dependence and spatial distribution of housing units reliant on private domestic wells by census block group and block. Nationally, based on an understanding of well use from state well logs and the housing unit density, an estimated 23 million housing units are being served by this water resource, 17 per cent of the population. In 1990, 15.1 million households were reliant on wells. In the ensuing 30 years there has been over a 50 percent increase in the number of households relying on these wells. This dataset will assist in a better understanding of the reliance on private domestic wells in the US, better positioning local, state, and federal groups in protecting this water resource from contaminant sources. \n\nThis dataset is associated with the following publication:\nMurray, A., A. Hall, J. Weaver, and F. Kremer. Methods for Estimating Locations of Housing Units Served by Private Domestic Wells in the United States Applied to 2010.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 57(5): 828-843, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524634",
      "keyword": [
        "Domestic Well",
        "GIS",
        "groundwater",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Andrew Murray",
        "hasEmail": "mailto:murray.andrewr@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/PDW_Paper_2020",
          "accessURL": "https://github.com/USEPA/PDW_Paper_2020",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-20",
      "references": [
        "https://doi.org/10.1111/1752-1688.12937",
        "https://onlinelibrary.wiley.com/doi/full/10.1111/1752-1688.12937"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Unraveling Pathways of Elevated Ozone Induced by the 2020 Lockdown in Europe by an Observationally Constrained Regional Model: Non-Linear Joint Inversion of NOx and VOC Emissions using TROPOMI",
      "description": "Concentrations alone do not provide answer to the question about how emissions are changing over the surface, in part due to simultaneous changes in transport, emissions, dynamics, photochemistry, and chemical feedback. Therefore simulating a chemical transport model benefiting from a multi-specie inversion framework using well-characterized observations should differentiate those influences enabling to closely focus on the emission part. This has another advantage in that we can, to a certain extent, disentangle the chemical and physical processes involved in the formation of ozone. Accordingly, we jointly constrain NOx and VOC emissions using well-characterized TROPOMI HCHO and NO2 columns during individual months of March, April, and May 2020 (lockdown) and 2019 (baseline). We observe a noticeable decline in the magnitude of NOx emissions in March (14-31%) in several major cities such as Paris, Madrid, and Milan expanding further to Rome, Brussels, Frankfurt, London, Warsaw, Belgrade, Kyiv, and Moscow (34-51%) in April. A large variability associated with changes in NOx emissions is indicative of varying dates and the degree of restrictions enacted to prevent the spread of the virus. For instance, NOx emissions remain in somewhat similar values or even higher in northern Germany and Moscow in March 2020 compared to the baseline. Comparisons against surface monitoring stations indicate that the model estimate of the NO2 reduction is underestimated, a picture that correlates with the number of TROPOMI samples impacted by cloudiness. During the month of April, when ample TROPOMI samples are present, the surface NO2 reductions occurring in polluted areas are described fairly well by the model (model: -21±17%, observation: -29±21%). Changes in VOC emissions are dominantly influenced by eastern European biomass burning activities and biogenic isoprene emissions. In March, however, TROPOMI HCHO sets an upper limit for HCHO changes such that the chemical feedback of NOx on HCHO constrained by TROPOMI NO2 reveals a non-negligible decline in anthropogenic VOC emissions in Paris, Milan, London, and Rome. This striking result is only achievable by jointly incorporating HCHO and NO2 observations into the inversion context. Results support an increase in surface ozone during the lockdown. In April, the constrained model features a reasonable agreement with maximum daily 8 h average (MDA8) ozone changes observed at the surface (r=0.43), specifically over central Europe where ozone enhancements prevail (model: +3.73±3.94%, +1.79 ppbv, observation: +7.85±11.27%, +3.76 ppbv). This dataset is not publicly accessible because: The data belongs to first author. It can be accessed through the following means: please contact the first author (ahsouri@cfa.harvard.edu). Format: netCDF, observation data, satellite data. \n\nThis dataset is associated with the following publication:\nSouri, A.H., K. Chance, J. Bak, C.R. Nowlan, G. Gonzalez Abad, Y. Jung, C. Wong, J. Mao, and X. Liu. Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 21: 18227–18245, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523053",
      "keyword": [
        "Ozone",
        "lockdown",
        "NOx",
        "VOC"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2021-05-01",
      "references": [
        "https://doi.org/10.5194/acp-21-18227-2021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for children's soil and dust ingestion estimates using SHEDS-S/D model",
      "description": "These data are the inputs and variables needed to populate the SHEDS-S/D model to generate children's soil and dust ingestion estimates. \n\nThis dataset is associated with the following publication:\nTulve, N., H. Ozkaynak, G. Glen, J. Cohen, H. Hubbard, K. Thomas, and L. Phillips. Model based prediction of age-specific soil and dust ingestion rates for children.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 32(578): 472-480, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523388",
      "keyword": [
        "children",
        "soil ingestion",
        "dust ingestion",
        "SHEDS-S/D",
        "model"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "Child Ingestion w GSD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523388/Child%20Ingestion%20w%20GSD.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Child_Sens_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523388/Child_Sens_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Child_Sens_Data2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523388/Child_Sens_Data2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-21",
      "references": [
        "https://doi.org/10.1038/s41370-021-00406-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distribution of data in ECOTOX across species, chemicals, and effects (June 2021 update) ",
      "description": "The ECOTOXicology Knowledgebase (ECOTOX) has been in development since the early 1980s and is maintained by the  U.S. EPA Great Lakes Toxicology and Ecology Division. ECOTOX includes curated data from toxicity tests from aquatic and terrestrial species, with results available on the web-based application: www.epa.gov/ecotox. This paper includes overview summaries of the entirety of the data currently included in ECOTOX (as of September 2020 update), with the source data for these summaries included in this Excel file. \n\nThis dataset is associated with the following publication:\nOlker, J., C. Elonen, A. Pilli, A. Anderson, B. Kinzinger, S. Erickson, M. Skopinski, A. Pomplun, C. LaLone, C. Russom, and D. Hoff. The ECOTOXicology Knowledgebase: A Curated Database of Ecologically Relevant Toxicity Tests to Support Environmental Research and Risk Assessment.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(6): 1520-1539, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521262",
      "keyword": [
        "ECOTOX Knowledgebase",
        "Toxicity data",
        "Data curation",
        "ecotoxicology",
        "database",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Jennifer Olker",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Olker_ECOTOX overview_30June2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521262/Olker_ECOTOX%20overview_30June2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-30",
      "references": [
        "https://doi.org/10.1002/etc.5324"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Carbon, Nitrogen, and Mercury Isotope Values to Distinguish Mercury Sources to Alaskan Lake Trout",
      "description": "This data release includes results of raw water, soil, seston, and fish tissue samples collected from lakes in southwestern Alaska between 2011 and 2016. Specifically, these data include total mercury and methylmercury concentrations in water, size-sieved seston, and particulate matter of 13 remote lakes. Additionally, these data include soil and volcanic ash measurements from the surrounding watersheds. Finally, these data include energetic profiling of seston, lake trout, and sockeye salmon as well as mercury isotope measurements of the fishes. These data are important when interpreting mercury mass balance flows and bioavailability to the food web and are a part of an associated journal article published in Environmental Science and Technology Letters (https://doi.org/10.1021/acs.estlett.2c00096). \n\nThis dataset is associated with the following publication:\nLepak, R., J. Ogorek, K. Bartz, S. Janssen, M. Tate, Y. Runsheng, J. Hurley, D. Young, C. Eagles-Smith, and D. Krabbenhoft. Using Carbon, Nitrogen, and Mercury Isotope Values to Distinguish Mercury Sources to Alaskan Lake Trout.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 9(4): 312-319, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526403",
      "keyword": [
        "Alaska",
        "isotope",
        "climate change",
        "lake trout",
        "mercury",
        "Volcano"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/611e5b9fd34e40dd9c0196a3",
          "accessURL": "https://www.sciencebase.gov/catalog/item/611e5b9fd34e40dd9c0196a3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-18",
      "references": [
        "https://doi.org/10.1021/acs.estlett.2c00096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes (Revised Version)",
      "description": "Reference and sensor data from grassland prescribed burn experiments in 2017 and chamber burn experiments in 2018 used in the paper \"Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes\" by Whitehill et al.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526477",
      "keyword": [
        "carbon dioxide",
        "Sensors",
        "carbon monoxide",
        "Wildland Fire"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "missoula_2018.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526477/missoula_2018.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "march2017studydata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526477/march2017studydata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "november2017studydata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526477/november2017studydata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Enhanced Susceptibility of Methylmercury Bioaccumulation into Seston of the Laurentian Great Lakes",
      "description": "Data were created in order to examine mercury concentrations, cycling, and biotic transfer in the Great Lakes and is in response to mercury concentrations in fish that are above consumption advisory levels. \n\nThis dataset is associated with the following publication:\nOgorek, J., R. Lepak, J. Hoffman, J. DeWild, T. Rosera, M. Tate, J. Hurley, and D. Krabbenhoft. Enhanced sensitivity of methylmercury bioaccumulation into seston of the Laurentian Great Lakes.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(18): 12714-12723, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526484",
      "keyword": [
        "mercury",
        "Animal Derived Food",
        "bioaccumulation",
        "Dissolved Organic Matter",
        "food"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/6094454dd34e791692e6f231",
          "accessURL": "https://www.sciencebase.gov/catalog/item/6094454dd34e791692e6f231",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Table 1 Sample Site Information.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Table%201%20Sample%20Site%20Information.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Data Dictionary Mercury in the Great Lakes.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Data%20Dictionary%20Mercury%20in%20the%20Great%20Lakes.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "3-Mercury_concentrations_in_surface_water_sediment_and_biota_in_the_Laurentian_Great_Lakes_2005_through_Present.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/3-Mercury_concentrations_in_surface_water_sediment_and_biota_in_the_Laurentian_Great_Lakes_2005_through_Present.xml",
          "mediaType": "text/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Table 5 Plankton.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Table%205%20Plankton.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Table 4 Sediments.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Table%204%20Sediments.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Table 3 Mussels.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Table%203%20Mussels.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2-Table 2 Surface Waters.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526484/2-Table%202%20Surface%20Waters.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-08-19",
      "references": [
        "https://doi.org/10.1021/acs.est.1c02319"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Data Set) Integrating Study Reporting Templates into the Manuscript Submission Process: A Pilot Data Extraction Exercise Feasibility Study (Authors share their opinions and provide user feedback on their data extraction user experience).",
      "description": "This file contains participant response data to Likert scale, open-ended responses and self-reported time taken to complete various tasks related to the extraction exercise.  This Excel file also contains:\n\n1)\tExamples of the Interactive HAWC Visuals that can be created after extracting data into the template.\n2)\tThe Initial Post-Extraction Survey Tool (\"Survey 1\")\n3)\tThe Final Post-Pilot Survey Tool (\"Survey 2\")\n4)\tSurvey 2 Results: Willingness to Consider Structured Data During Publication Process (Table 2)\n5)\tSurvey 1 Results: Participant Self-Reported Time Spent Performing Various Pilot Tasks (Table 3)\n6)\tSurvey 1 Results:  Summary of Technical Assistance Provided by Team Members (Table 4)\n7)\tSurvey 2 Results: Participant Responses Describing Pilot's Impact on Future Research Activities (Table 5)\n8)\tSurvey 1 Results:  Initial Survey Likert Scale Results (Table 6)\n9)\tRepeat Extraction: Comparison of the First and Second Data Extraction Experience (Among the Same Participant)\n10)\tSurvey 1 Results: Problematic & Easy Fields to Extract. \n\nThis dataset is associated with the following publication:\nWilkins, A., P. Whaley, A. Persad, I. Druwe, J. Lee, M. Taylor, A. Shapiro, N. Blanton, C. Lemeris, and K. Thayer. Assessing author willingness to enter study information into structured data templates as part of the manuscript submission process: A pilot study.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 8(3): 1-9, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520136",
      "keyword": [
        "Data extraction",
        "automated data extraction",
        "electronic data extraction manuscript submission",
        "structured data",
        "data sharing",
        "natural language processing",
        "NLP",
        "semantic authoring",
        "author opinion",
        "author feedback",
        "data summary",
        "systematic review",
        "study quality",
        "study quality reporting",
        "risk of bias reporting",
        "study evaluation",
        "data extraction tool",
        "data extraction software",
        "evidence synthesis",
        "metadata",
        "metadata tagging",
        "meta data",
        "author submission requirements",
        "machine readable",
        "knowledge translation",
        "science translation.",
        "data template"
      ],
      "contactPoint": {
        "fn": "Amy Wilkins",
        "hasEmail": "mailto:wilkins.amina@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental_10-19-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520136/Supplemental_10-19-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-19",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2022.e09095"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520136/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary field, morphometric and genetic data for Mesocyclops pehpeiensis cyclopoid copepods reported from the western basin of Lake Erie (2016-2018).",
      "description": "Field collection data and stage, sex, specimen count, length and COI barcode BIN ID number (which links to genetic information in BOLD Systems V4) for the Asian cyclopoid copepod Mesocyclops pehpeiensis, a non-native zooplankton species recently reported in Lake Erie. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520608",
      "keyword": [
        "Mesocyclops pehpeiensis",
        "cyclopoid copepods"
      ],
      "contactPoint": {
        "fn": "Elizabeth Hinchey-Malloy",
        "hasEmail": "mailto:hinchey.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Mesocyclops pehpeiensis table for ScienceHub_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520608/Mesocyclops%20pehpeiensis%20table%20for%20ScienceHub_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-04",
      "references": [
        "https://dx.doi.org/10.1016/j.jglr.2018.11.005"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vadose Zone Corvallis",
      "description": "This field study was designed to test different methods for measuring water and nutrient transport throughout the vadose zone. A pilot study was implemented to determine the feasibility of approach for comparing the impact of interseeding a cover crop into the sweet corn crop versus conventionally managing the sweet corn, without a cover crop. The field experiment was established in June 2016 with the uniform planting of a sweet corn crop across the whole ~2 ac site. In September 2016, monitoring networks were installed in two subfields, North and South, consisting of groundwater wells and vadose zone instrumentation installed near the center of each. Water was sampled every two weeks beginning in October 2016 and analyzed for a suite of nutrients and stable isotopes. We present four years of such nutrient data, along with post-harvest soil data, collected each September after plant harvest. Thus, the data reported herein comes from different measurement methods (monitoring wells, vadose zone lysimeters, post-harvest soil tests) that can be utilized when trying to understand hydrologic nitrate transport in the vadose zone and groundwater. \n\nThis dataset is associated with the following publication:\nHutchins, S., J. Weitzman, J. Brooks, J. Compton, B. Faulkner, S. Pearlstein, R.E. Peachey, M. White, and R. Coulombe. Using Vadose Zone Instruments and Post-Harvest Soil Nitrogen to Evaluate Nutrient Transport at an Agricultural Field Site. U.S. Environmental Protection Agency, Washington, DC, USA, 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526412",
      "keyword": [
        "groundwater",
        "fate and transport",
        "Agriculture",
        "Nitrogen and Co-pollutants",
        "nitrate",
        "soil water",
        "vadose zone",
        "lysimeters",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Julie Weitzman",
        "hasEmail": "mailto:weitzman.julie@epa.gov"
      },
      "distribution": [
        {
          "title": "Hutchins et al._Vadose Zone Corvallis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526412/Hutchins%20et%20al._Vadose%20Zone%20Corvallis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HABqPCR_DataSet",
      "description": "This data covers reverse transcriptase  qPCR quantification of microcystin gene activity during the summer bloom seasons in 2015, 2016 and 2017 for08/20/2019 Harsha Lake in Ohio. \n\nThis dataset is associated with the following publication:\nWymer, L., S. Vesper, I. Struewing, J. Allen, and J. Lu. Possible Antagonism between Cladosporium cladosporioides and Microcystis aeruginosa in a Freshwater Lake during Bloom Seasons.   Life. MDPI, Basel,  SWITZERLAND, 12(5): 742, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1504287",
      "keyword": [
        "reverse transcriptase",
        "microcystis aeruginosa",
        "harmful algal-bloom",
        "microcystin",
        "Cladosporium cladosporioides"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "HABqPCR_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504287/HABqPCR_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-11-04",
      "references": [
        "https://doi.org/10.3390/life12050742"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gonad Metabolomics and Blood Biochemical Analysis Reveals  Differences Associated with Testicular Oocytes in Largemouth Bass (Micropterus salmoides)",
      "description": "In the present study, features of gonad metabolite profiles associated with TO in largemouth bass (LMB, Micropterus salmoides) from an impoundment in Georgia (USA) were determined using GC–MS-based metabolomics. Clinical blood biochemical screens were used to evaluate markers of fish health associated with TO. Results suggest that physiological changes in energy expenditure as well as relatively ‘feminized’ gonad lipid and protein metabolism may be related to the occurrence of TO in male LMB, and highlight the need to understand relationships between intersex and physical stressors such as elevated temperature and hypoxia. These results provide novel insight to AOPs associated with TO and identify candidate analytes for biomarker discovery. This dataset is not publicly accessible because: Data belongs to coauthor at University of Georgia. It can be accessed through the following means: Data can be accessed by contacting the corresponding author (bringo@uga.edu). Format: excel. \n\nThis dataset is associated with the following publication:\nUrich, M., W. Henderson, A. MacLeod, L. Yonkos, and R. Bringolf,. Gonad metabolomics and blood biochemical analysis reveal differences associated with testicular oocytes in wild largemouth bass (Micropterus salmoides).   COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY - PART B: BIOCHEMISTRY & MOLECULAR BIOLOGY. Elsevier Science Ltd, New York, NY, USA, 250: 110491, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522872",
      "keyword": [
        "ecotoxicology",
        "aquatic toxicology",
        "endocrine disruptor",
        "Intersex",
        "biomarkers",
        "ecotoxicogenomics"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-29",
      "references": [
        "https://doi.org/10.1016/j.cbpb.2020.110491"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cyanobacteria state reported events and recreation advisories",
      "description": "Geospatial and temporal records of NRDC state reported HAB events and state recreational advisories with matching MERIS and Setninel-3 satellite data. \n\nThis dataset is associated with the following publication:\nWhitman, P., B. Schaeffer, W. Salls, M. Coffer, S. Mishra, B. Seegers, K. Loftin, R. Stumpf, and P.J. Werdell. A validation of satellite derived cyanobacteria detections with state reported events and recreation advisories across U.S. lakes.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 115: 102191, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522957",
      "keyword": [
        "satellite",
        "water quality",
        "cyanobacteria",
        "human health",
        "recreation advisory",
        "Validation"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Whitman_files_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522957/Whitman_files_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-28",
      "references": [
        "https://doi.org/10.1016/j.hal.2022.102191"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522957/documents/Data_dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CONUS_extent",
      "description": "MERIS and OLCI satellite data with CI_cyano algorithm quantify the spatial extent of cyanobacteria. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., E. Urquhart, M. Coffer, W. Salls, R. Stumpf, K. Loftin, and P.J. Werdell. Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 140: 108990, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524792",
      "keyword": [
        "satellite",
        "cyanobacteria",
        "water quality",
        "Harmful Algal Blooms"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "CONUS_Extent_data_for_publication.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524792/CONUS_Extent_data_for_publication.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-11",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.108990"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw Data for Jarema et al, 2022 Developmental Neurotoxicity and Behavioral Screening in Larval Zebrafish...",
      "description": "The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics10050256/s1. Figure S1, Effect of DMSO on Light/Dark Locomotor Activity; Figure S2, Time Course Behavioral Graph, Activity Box Plots and Developmental Toxicity for each Chemical; Table S1, Raw Data. \n\nThis dataset is associated with the following publication:\nJarema, K., D. Hunter, B. Hill, J. Olin, K. Britton, M. Waalkes, and S. Padilla. Developmental Neurotoxicity and Behavioral Screening in Larval Zebrafish with a Comparison to Other Published Results.   Toxics. MDPI, Basel,  SWITZERLAND, 10(5): 256, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526454",
      "keyword": [
        "behavior",
        "Chemical Screening",
        "literature comparison",
        "Developmental Toxicity",
        "rapid testing",
        "zebrafish",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Stephanie Padilla",
        "hasEmail": "mailto:padilla.stephanie@epa.gov"
      },
      "distribution": [
        {
          "title": "Jarema et al 2022 Zebrafish DNT Supplemental ALL Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526454/Jarema%20et%20al%202022%20Zebrafish%20DNT%20Supplemental%20ALL%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-25",
      "references": [
        "https://doi.org/10.3390/toxics10050256"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dietary exposure to phenols",
      "description": "Dietary exposure of adults to phenols. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Can contact the PI. Format: Providing only the metadata. \n\nThis dataset is associated with the following publications:\nMorgan, M., D. MacMillan, D. Zehr, and J. Sobus. Pyrethroid insecticides and their environmental degradates in repeated duplicate-diet solid food samples of 50 adults.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 28: 40-45, (2018).\nMorgan, M., and M. Clifton. Exposure to Triclosan and Bisphenol Analogues B, F, P, S and Z in Repeated Duplicate-Diet Solid Food Samples of Adults.   Toxics. MDPI, Basel,  SWITZERLAND, 9(3): 47, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520495",
      "keyword": [
        "phenolic compounds",
        "dietary",
        "consumer goods",
        "adults"
      ],
      "contactPoint": {
        "fn": "Marsha Morgan",
        "hasEmail": "mailto:morgan.marsha@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-19",
      "references": [
        "https://doi.org/10.1038/jes.2016.69",
        "https://doi.org/10.3390/toxics9030047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "KORUS_AQ 2016 Data Archive",
      "description": "Archived data for the 2016 KORUS-AQ study in South Korea.  Data may include non-EPA data generated on the DC-8 aircraft and both EPA and non-EPA data generated to ground based sites in the study area. Portions of this dataset are inaccessible because: The data for this manuscript contains both EPA owned data and non-EPA generated data that are all stored in one location on a publicly accessible data archive.  As such it is not feasible to store just EPA owned data associated with this manuscript on ScienceHub as we do not have permission to store non-epa generated data on Sciencehub.  It is far more practical to house the data on the NASA owned stdudy data archive. They can be accessed through the following means: Data sets are given in ICARTT format and stored on the -KORUS-AQ data archive managed by NASA: https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq.  Data sets can be downloaded from the archive by the user. Format: Data sets are given in ICARTT format and stored on the -KORUS-AQ data archive managed by NASA: https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq.  Data sets include both EPA owned data and non-EPA generated data. \n\nThis dataset is associated with the following publications:\nLong, R. The roles of suburban forest in controlling vertical trace gas and OH reactivity distributions – a case study for Seoul Metropolitan Area..   Faraday Discuss. Royal Society of Chemistry, Cambridge,  UK,  537-550, (2021).\nLong, R. Boundary layer versus free tropospheric submicron particle formation: A case study from NASA DC-8 observations in the Asian continental outflow during the KORUS-AQ campaign.   Atmospheric Research. Elsevier Science BV, Amsterdam,  NETHERLANDS, 264: na, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526514",
      "keyword": [
        "Air monitoring",
        "Korea",
        "air quality",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-02-02",
      "references": [
        "https://doi.org/10.1039/d0fd00081g",
        "https://www.sciencedirect.com/science/article/pii/S0169809521004130"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DISCOVER-AQ data archive",
      "description": "DISCOVER-AQ data archive containing Data from Baltimore MD, San Juaquin Valley CA, Houston TX, and Denver CO studies.  Data may be from NASA Aircraft and both EPA and non EPA ground based measurements. Portions of this dataset are inaccessible because: The data set for this manuscript contains both EPA owned and non-EPA generated data for which EPA does not have permission to house on ScienceHub.  As such it is most feasable to house the data in one location and provide the link in ScienceHub where users can access and download data if desired. They can be accessed through the following means: Final datasets are located at the following public data archive: https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html.  Users can access and download the data at this site. Format: Files follow metadata and data requirements for NASA ICARTT file format (https://earthdata.nasa.gov/esdis/eso/standards-and-references/icartt-file-format) and have been run through the ICARTT file checker prior to posting on the publicly available DISCOVER-AQ data archive. \n\nThis dataset is associated with the following publication:\nLong, R., and J. Szykman. Comprehensive evaluations of diurnal NO2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NOx emissions.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 21(14): 11133-11160, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526515",
      "keyword": [
        "Ozone",
        "DISCOVER-AQ",
        "oxides of nitrogen",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "accessURL": "https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2014-11-26",
      "references": [
        "https://acp.copernicus.org/articles/21/11133/2021/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the efficiency and mechanism of zinc adsorption onto biochars from poultry litter and ligneous materials",
      "description": "The zinc concentrations and pH measurement from batch experiments with varied pH and biochar amounts. Additionally, solid phase sample analyses results from both XRD and XANES are included. \n\nThis dataset is associated with the following publication:\nO'Connor , K.F., S.R. Al-Abed, S. Horden, and P.X. Pinto. Assessing the efficiency and mechanism of zinc adsorption onto biochars from poultry litter and softwood feedstocks.   Bioresource Technology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 18: 101039, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526525",
      "keyword": [
        "contaminated water",
        "Isotherm Fitting",
        "remediation",
        "Metal Removal",
        "Monolayer Adsorption"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Biochar Data Compiled.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526525/Biochar%20Data%20Compiled.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-22",
      "references": [
        "https://doi.org/10.1016/j.biteb.2022.101039"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BioProject ID PRJNA592969",
      "description": "DNA sequences--already publicly available",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526062",
      "keyword": [
        "bioassessment",
        "boosted regression trees",
        "biomonitoring",
        "nitrogen",
        "threshold indicator taxa analysis",
        "Agriculture",
        "periphyton",
        "phosphorus",
        "gradient forest",
        "16S",
        "Bacteria",
        "DNA metabarcoding"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix S2 ASV Taxonomy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526062/Appendix%20S2%20ASV%20Taxonomy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The metagenome sequencing data have been deposited in the European Nucleotide Archive (ENA).",
      "description": "The raw sequencing data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB40814 with the following BioSample numbers: SAMEA7465213 (sample DWDS A1), SAMEA7465214 (DWDS A2), SAMEA7465217 (DWDS B1), SAMEA7465218 (DWDS B2), SAMEA7465220 (DWDS C1), SAMEA7465221 (DWDS C2), SAMEA7465222 (DWDS D1), SAMEA7465223 (DWDS D2), SAMEA7465226 (DWDS E1), and SAMEA7465226 (DWDS E2). \n\nThis dataset is associated with the following publication:\nTiwari, A., V. Gomez-Alvarez, S. Siponen, A. Sarekoski, A. Hokajärvi, A. Kauppinen, E. Torvinen, I.T. Miettinen, and T. Pitkänen. Bacterial Genes Encoding Resistance against Antibiotics and Metals in Well-Maintained Drinking Water Distribution Systems in Finland.   Frontiers in Microbiology. Frontiers, Lausanne,  SWITZERLAND, 12: 803094, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526470",
      "keyword": [
        "drinking water treatment",
        "disinfection",
        "metagenomics",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465213",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465213",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465214",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465214",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465217",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465217",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465218",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465218",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465220",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465220",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465221",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465221",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465222",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465222",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465223",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465223",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-20",
      "references": [
        "https://doi.org/10.3389/fmicb.2021.803094"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data in GCA journal article 'Influence of clay mineral weathering on green rust formation at Iron-reducing conditions' ",
      "description": "spreadsheet of data used in figures and tables",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526464",
      "keyword": [
        "fougerite",
        "EXAFS",
        "Aluminum",
        "Nitrogen and Co-pollutants",
        "silicon",
        "Shell-fitting",
        "layered double hydroxide",
        "green rust",
        "soil"
      ],
      "contactPoint": {
        "fn": "Aaron Betts",
        "hasEmail": "mailto:betts.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "Data in GCA MS figures and tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526464/Data%20in%20GCA%20MS%20figures%20and%20tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for the paper: Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments. Published in the journal Environmental Pollution in 2021",
      "description": "Dataset for the paper: Surface-air mercury fluxes and a watershed mass balance in forested and harvested catchments. Published in the journal Environmental Pollution in 2021. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526545",
      "keyword": [
        "Atmospheric mercury",
        "Mercury Cycle",
        "Atmospherically Deposited Mercury",
        "Forestry Activity"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Eckley et al 2021 Environmental Pollution Data for Science Hub_nlb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526545/Eckley%20et%20al%202021%20Environmental%20Pollution%20Data%20for%20Science%20Hub_nlb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-17",
      "references": [
        "https://dx.doi.org/10.1016/j.envpol.2021.116869"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for initial journal submission Figures 1-4 Tables 1-3_Jan2021",
      "description": "The Figure files contain GIS files used to derive the maps of Michigan. The Tables files are .dbf files that provide values reflecting changes over time and differences in approach for grouped census tracts.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520754",
      "keyword": [
        "lead",
        "Pb",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Valerie Zartarian Morrison",
        "hasEmail": "mailto:zartarian.valerie@epa.gov"
      },
      "distribution": [
        {
          "title": "Xue et al EHP 2022 data files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520754/Xue%20et%20al%20EHP%202022%20data%20files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2022-06-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "StEWI v1.0.5 Data Products",
      "description": "Data products generated from StEWI v1.0.5. The source code and release notes can be found at https://github.com/USEPA/standardizedinventories/releases/tag/v1.0.5\n\nDatasets include Flow-By-Facility, Flow-By-Process, Facility, and Flow data files for the EPA inventory sources and years listed in Table 7 of the associated publication. The dataset link directs to a page with a table with direct links to each dataset. These are the same datasets returned from the basic 'get...' functions using StEWI. Dataset are in Apache parquet format. \n\nThis dataset is associated with the following publication:\nYoung, B., W.W. Ingwersen, M. Bergmann , J.D. Hernandez-Betancur , T. Ghosh, E. Bell, and S. Cashman. A System for Standardizing and Combining U.S. Environmental Protection Agency Emissions and Waste Inventory Data.   Applied Sciences. MDPI AG, Basel,  SWITZERLAND,  3447, (2022).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1526441",
      "keyword": [
        "toxic releases",
        "RCRA Hazardous Waste",
        "Chemical releases",
        "Environmental Releases",
        "electricity generation",
        "Mandatory Greenhouse Gas Reporting",
        "criteria air pollutant emissions",
        "hazardous air pollutants",
        "Python",
        "tool ecosystem",
        "eGRID",
        "greenhouse gas reporting program",
        "substance registry service",
        "facility registry service",
        "Toxic Release Inventory",
        "NPDES",
        "TRI",
        "national emissions inventory",
        "DMR",
        "SRS",
        "EPA data",
        "NEI",
        "Discharge Monitoring Report"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/standardizedinventories/wiki/DataProductLinks#v1.0.5",
          "accessURL": "https://github.com/USEPA/standardizedinventories/wiki/DataProductLinks#v1.0.5",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-02",
      "references": [
        "https://doi.org/10.3390/app12073447"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/standardizedinventories/tree/v1.0.5/format%20specs"
      },
      "accessRights": "public"
    },
    {
      "title": "Ponderosa pine tree-ring data for Metolius, Oregon",
      "description": "Annual radial stem ringwidth (mm) for ponderosa pine. \n\nThis dataset is associated with the following publication:\nMerschel, A.G., P.A. Beedlow, D.C. Shaw, D.R. Woodruff, E.H. Lee, S. Cline, R.L. Comeleo, K.R. Hagmann, and M.J. Reilly. An Ecological Perspective on Living with Fire in Ponderosa Pine Forests of Oregon and Washington: Resistance, Gone but not Forgotten.   Trees, Forests and People. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 100074, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1519377",
      "keyword": [
        "ponderosa pine",
        "dendrochronology"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "metpp_sciencehub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519377/metpp_sciencehub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2016-07-06",
      "references": [
        "https://doi.org/10.1016/j.tfp.2021.100074"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ISA Literature screening dataset v.1",
      "description": "This dataset contains one instance of the information used in searching and screening peer-reviewed literature to identify references to be used in EPA's Integrated Science Assessments (ISAs). It is comprised of six subsets, three for each of two ISAs for Ozone (2013 and 2020). The subsets are reference metadata, which contains all metadata for references found through searches and references cited in the respective ISA, Citation context, which contains the text of paragraph of the ISA where each reference was cited, and the semantic map, which provides the outline of the ISA in a hierarchical table of chapters, sections and subsections. See the Supporting documents for a more detailed description.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527631",
      "keyword": [
        "data management",
        "Information Science",
        "machine learning",
        "Methods development",
        "Science Assessment"
      ],
      "contactPoint": {
        "fn": "Jean-Jacques Dubois",
        "hasEmail": "mailto:dubois.jeanjacques@epa.gov"
      },
      "distribution": [
        {
          "title": "reference_metadata_2013.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/reference_metadata_2013.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "citation_context_2013.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/citation_context_2013.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "semantic_map_2013.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/semantic_map_2013.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "citation_context_2020.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/citation_context_2020.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "semantic_map_2020.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/semantic_map_2020.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "reference_metadata_2020.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/reference_metadata_2020.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data_dictionary.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527631/data_dictionary.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-26",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1527631/documents/Hou%20et%20al.%20CIKM%202023.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chamber incubation data 2016-17 version 1",
      "description": "These data were collected to compare nitrogen and oxygen exchange at the sediment-water interface in two adjacent habitat types common in estuaries.  These are submerged aquatic vegetation (SAV) and bare sediment.  The data collection involved application of a unique in-site chamber deployment and also included collection of sediment genomic data to examine potential drivers of nitrogen exchange.  The associated dataset includes replicate exchange rate estimates for three species of nitrogen and oxygen, as well as genomic similarity data used ot compare habitats. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1504273",
      "keyword": [
        "estuary",
        "nitrogen",
        "ecosystem services",
        "habitat",
        "seagrass"
      ],
      "contactPoint": {
        "fn": "Richard Fulford",
        "hasEmail": "mailto:fulford.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Fulford Seagrass SciHub 082919.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504273/Fulford%20Seagrass%20SciHub%20082919.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-08-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes",
      "description": "Reference and sensor data from grassland prescribed burn experiments in 2017 and chamber burn experiments in 2018 used in the paper \"Summary of Evaluation of Commercially Available Air Sensor Performance in Biomass Burning Plumes\" by Whitehill et al. \n\nThis dataset is associated with the following publication:\nWhitehill, A., R. Long, S. Urbanski, M. Colon, A. Habel, and M. Landis. Evaluation of carpool and aeroqual air sensors in biomass burning plumes.   ATMOSPHERE. MDPI, Basel,  SWITZERLAND, 13(6): 877, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524774",
      "keyword": [
        "air sensor",
        "Wildland Fire"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "tallgrass_2017_11_15.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/tallgrass_2017_11_15.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tallgrass_2017_11_13.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/tallgrass_2017_11_13.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "missoula.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/missoula.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "konza_2017_11_10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/konza_2017_11_10.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "konza_2017_03_20.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/konza_2017_03_20.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "konza_2017_03_17.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/konza_2017_03_17.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "konza_2017_03_16.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/konza_2017_03_16.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "konza_2017_03_15.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524774/konza_2017_03_15.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-17",
      "references": [
        "https://www.mdpi.com/2073-4433/13/6/877"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Disinfection against MHV dataset",
      "description": "Disinfectant efficacy data against MHV. \n\nThis dataset is associated with the following publication:\nHardison, R., S. Nelson, D. Barriga, F. Ruiz, J. Ghere, G. Fenton, D. Lindstrom, R. James, M. Stewart, S. Lee, M. Calfee, S. Ryan, and M. Howard. Evaluation of surface disinfection methods to inactivate the beta coronavirus Murine Hepatitis Virus.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA,  1-14, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523093",
      "keyword": [
        "disinfection",
        "homeland security",
        "emergency response",
        "COVID-19"
      ],
      "contactPoint": {
        "fn": "Shawn Ryan",
        "hasEmail": "mailto:ryan.shawn@epa.gov"
      },
      "distribution": [
        {
          "title": "MHV Disinfectant Manuscript Data File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523093/MHV%20Disinfectant%20Manuscript%20Data%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-05",
      "references": [
        "https://doi.org/10.1080/15459624.2022.2088768"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Set",
      "description": "The file contains the raw data used to generate the figures in the journal article Eckley, C.S., Luxton, T.P., Knightes, C.D. and Shah, V. (2021) Methylmercury Production and Degradation under Light and Dark Conditions in the Water Column of the Hells Canyon Reservoirs, USA. Environ. Toxicol. Chem. 40, 1829-1839. \n\nThis dataset is associated with the following publication:\nEckley, C.S., T.P. Luxton, C.D. Knightes, and V. Shah. Methylmercury Production and Degradation under Light and Dark Conditions in the Water Column of the Hells Canyon Reservoirs, USA.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(7): 1827-1837, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526413",
      "keyword": [
        "climate change",
        "water pollution",
        "photodemethylation",
        "methylmercury",
        "methylation"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Data-Sci Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526413/Manuscript%20Data-Sci%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-06",
      "references": [
        "https://doi.org/10.1002/etc.5041"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acute Toxicity of Major Ions to Fathead Minnows (Pimephales promelas)",
      "description": "This dataset provides concentration-response data and associated general chemistry conditions for 32 experiments consisting of 177 toxicity tests regarding the acute toxicity of individual major ion salts and binary mixtures of major ions to Ceriodaphnia dubia; it also provides LC50 estimates and the estimated chemistries at the LC50 for each toxicity test. \n\nThis dataset is associated with the following publication:\nErickson, R., D. Mount, T. Highland, J. Hockett, D. Hoff, C. Jenson, T. Norberg-King, and B. Forsman. Acute Toxicity of Major Geochemical Ions to Fathead Minnows (Pimephales promelas).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA,  n/a - n/a, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522942",
      "keyword": [
        "Major Ion Toxicity",
        "Mixture Toxicity",
        "Test Water Chemistry Effects",
        "fathead minnow",
        "Freshwater Toxicology"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "GLTEDIonToxPaper5_DataSet_SingleChem.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522942/GLTEDIonToxPaper5_DataSet_SingleChem.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GLTEDIonToxPaper5_Dataset_BinaryMix.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522942/GLTEDIonToxPaper5_Dataset_BinaryMix.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-06",
      "references": [
        "https://doi.org/10.1002/etc.5390"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sex ratio of Western Bluebirds (Sialia mexicana) is mediated by phenology and clutch size (dataset)",
      "description": "Mothers may produce more of one sex to maximize their fitness if there are differences in the cost of producing each sex or there are differences in their relative reproductive value. We tested if breeding date, clutch size and drought conditions influenced offspring sex ratios in Western Bluebirds (Sialia mexicana) from 1997 to 2017. We found that hatch dates late in the breeding season were associated with the production of more females. When clutch size was taken into account, small clutches yielded significantly more females late in the breeding season compared to the early and middle parts of the breeding season that produced significantly more males. Large clutches early in the season tended to produce more females, although this was not significant. Drought severity was not correlated with sex ratio adjustment. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527700",
      "keyword": [
        "breeding date",
        "long-term study",
        "parental investment",
        "Sex Allocation"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.xwdbrv1ck",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.xwdbrv1ck",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-15",
      "references": [
        "https://dx.doi.org/10.1111/ibi.12935"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acrolein inhalation acutely affects the regulation of mitochondrial metabolism in rat lung",
      "description": "Exposure of the airways to cigarette smoke (CS) is the primary risk factor for developing several lung diseases such as Chronic Obstructive Pulmonary Disease (COPD). CS consists of a complex mixture of over 6000 chemicals including the highly reactive α,β-unsaturated aldehyde acrolein. Acrolein is thought to be responsible for a large proportion of the non-cancer disease risk associated with smoking. Emerging evidence suggest a key role for CS-induced abnormalities in mitochondrial morphology and function in airway epithelial cells in COPD pathogenesis. Although in vitro studies suggest acrolein-induced mitochondrial dysfunction in airway epithelial cells, it is unknown if in vivo inhalation of acrolein affects mitochondrial content or the pathways controlling this. In this study, rats were acutely exposed to acrolein by inhalation (nose-only; 0-4 ppm), 4 hours/day for 1 or 2 consecutive days (n=6/group). Subsequently, the activity and abundance of key constituents of mitochondrial metabolic pathways as well as expression of critical proteins and genes controlling mitochondrial biogenesis and mitophagy were investigated in lung homogenates. A transient decreasing response in protein and transcript abundance of subunits of the electron transport chain complexes was observed following acrolein inhalation. Moreover, acrolein inhalation caused a decreased abundance of key regulators associated with mitochondrial biogenesis, respectively a differential response on day 1 versus day 2. Abundance of components of the mitophagy machinery was in general unaltered in response to acrolein exposure in rat lung. Collectively, this study demonstrates that acrolein inhalation acutely and dose-dependently disrupts the molecular regulation of mitochondrial metabolism in rat lung. Hence, understanding the effect of acrolein on mitochondrial function will provide a scientifically supported reasoning to shortlist aldehydes regulation in tobacco smoke. This dataset is not publicly accessible because: EPA does not own the data and therefore EPA does not have right to publish the data. It can be accessed through the following means: Data can be obtained from corresponding author of the paper. Format: The data in this paper are collected from lung tissue that were isolated from air or acrolein-exposed Wistar Kyoto rats. All data are derived from lung tissue assessment of many biological markers associated with mitochondrial homeostasis. For these data n=8 animals were used for each group of samples. \n\nThis dataset is associated with the following publication:\nTulen, C., S. Snow , P. Leermakers, U. Kodavanti, F. van Schooten, A. Opperhuizen, and A. Remels. Acrolein inhalation acutely affects the regulation of mitochondrial metabolism in rat lung.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 469(153129): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524735",
      "keyword": [
        "molecular mechanism",
        "pulmonary toxicity",
        "acrolein",
        "Mitochondria"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [],
      "modified": "2017-01-26",
      "references": [
        "https://doi.org/10.1016/j.tox.2022.153129"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"A Generic Scenario Analysis of End-of-Life Plastic Management: Chemical Additives\"",
      "description": "This repository contains the data supporting the manuscript \"A Generic Scenario Analysis of End-of-Life Plastic Management: Chemical Additives\" (to be) submitted to the Energy and Environmental Science Journal https://pubs.rsc.org/en/journals/journalissues/ee#!recentarticles&adv\nThis repository contains Excel spreadsheets used to calculate material flow throughout the plastics life cycle, with a strong emphasis on chemical additives in the end-of-life stages. Three major scenarios were presented in the manuscript: 1) mechanical recycling (existing recycling infrastructure), 2) implementing chemical recycling to the existing plastics recycling, and 3) extracting chemical additives before the manufacturing stage.\nUsers would primarily modify values on the yellow tab \"US 2018 Facts - Sensitivity\". Values highlighted in yellow may be changed for sensitivity analysis purposes. Please note that the values shown for MSW generated, recycled, incinerated, landfilled, composted, imported, exported, re-exported, and other categories in this tab were based on 2018 data. Analysis for other years can be made possible with a replicate version of this spreadsheet and the necessary data to replace those of 2018.\nMost of the tabs, especially those that contain \"Stream # - Description\", do not require user interaction. They are intermediate calculations that change according to the user inputs. It is available for the user to see so that the calculation/method is transparent. The major results of these individual stream tabs are ultimately compiled into one summary tab. All streams throughout the plastics life cycle, for each respective scenario (1, 2, and 3), are shown in the \"US Mat Flow Analysis 2018\" tab. For each stream, we accounted the approximate mass of plastics found in MSW, additives that may be present, and non-plastics. Each spreadsheet contains a representative diagram that matches the stream label. This illustration is placed to aid the user with understanding the connection between each stage in the plastics' life cycle.\nFor example, the Scenario 1 spreadsheet uniquely contains Material Flow Analysis Summary, in addition to the LCI. In the \"Material Flow Analysis Summary\" tab, we represented the input, output, releases, exposures, and greenhouse gas emissions based on the amount of materials inputted into a specific stage in the plastics life cycle.\nThe \"Life Cycle Inventory\" tab contributes additional calculations to estimate land, air, and water releases.\nFigures and Data - A gs analysis on eol plastic management\nThis word document contains the raw data used to create all the figures in the main manuscript. The major references used to obtain the data are also included where appropriate.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527627",
      "keyword": [
        "End-of-life",
        "Sustainable materials management",
        "Chemical additives",
        "climate change",
        "plastics",
        "recycling"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/GS_End-of-Life_Plastic_Additives",
          "accessURL": "https://github.com/USEPA/GS_End-of-Life_Plastic_Additives",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone reacts with carbon black to produce a fulvic acid-like substance and increase an inflammatory effect",
      "description": "Figure 2.  Cell non-heme iron concentrations following 4 (A) and 24 (B) hr exposures of BEAS-2B cells to media, carbon black treated with air (CB-Air), carbon black treated with ozone (CB-O3), and Suwanee River fulvic acid (SRFA).  Incubations were without and with 200 μM FAC.  Exposures to CB-Air, CB-O3, and SRFA did not impact cell non-heme iron relative to media at either time point.  Exposure to FAC increased cell non-heme iron but co-exposure with CB-O3 was associated with significantly increased non-heme iron concentrations at both 4 (A) and 24 (B) hr.  Exposures of BEAS-2B cells to FAC increased cell ferritin levels after 24 hr relative to media alone (C).  However, co-exposure of CB-O3, and SRFA with FAC was associated with significantly elevated cell ferritin concentrations (C).  Two-way ANOVA indicated that both addition of FAC and exposure group significantly impacted cell non-heme iron.  \n\nFigure 3.  Release of IL-8 and IL-6 after 24 hr exposure of BEAS-2B cells to media, carbon black treated with air (CB-Air), carbon black treated with ozone (CB-O3), and Suwanee River fulvic acid (SRFA).  Exposure to CB-O3 and SRFA significantly increased the release of IL-8 and IL-6. FAC treatment significantly diminished this response. \n\nThis dataset is associated with the following publication:\nGhio, A., D.H. Gonzalez, S.E.P. Paulson, J. Soukup, L. Dailey, M. Madden, B. Mahler, S.A. Elmore, M.C. Schladweiler, and U. Kodavanti. Ozone reacts with carbon black to produce a fulvic acid-like substance and increase an inflammatory effect.   TOXICOLOGIC PATHOLOGY. Society of Toxicology, RESTON, VA,  48(7): 887-898, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519298",
      "keyword": [
        "Ozone",
        "fulvic acid",
        "air pollution",
        "iron",
        "lung diseases",
        "carbon black",
        "fulvic acid-like substance",
        "inflammation",
        "Rats"
      ],
      "contactPoint": {
        "fn": "Andrew Ghio",
        "hasEmail": "mailto:ghio.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "ozone and hulis figure 3B sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519298/ozone%20and%20hulis%20figure%203B%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ozone and hulis figure 3A sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519298/ozone%20and%20hulis%20figure%203A%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ozone and hulis figure 2c sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519298/ozone%20and%20hulis%20figure%202c%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ozone and hulis figure 2b sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519298/ozone%20and%20hulis%20figure%202b%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ozone and hulis figure 2A sci hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519298/ozone%20and%20hulis%20figure%202A%20sci%20hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-01",
      "references": [
        "https://doi.org/10.1177/0192623320961017",
        "https://pasteur.epa.gov/uploads/10.23719/1519298/documents/ozone%20and%20hulis%20figure%203B%20sci%20hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1519298/documents/ozone%20and%20hulis%20figure%203A%20sci%20hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1519298/documents/ozone%20and%20hulis%20figure%202c%20sci%20hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1519298/documents/ozone%20and%20hulis%20figure%202b%20sci%20hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1519298/documents/ozone%20and%20hulis%20figure%202A%20sci%20hub.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "meteorological data for Salmon River basin",
      "description": "There are soil moisture, ET, and meteorological data which I developed for the Salmon River Basin. \n\nThis dataset is associated with the following publication:\nTonina, D., J.A. McKean, D. Isaak, R. Benjankar, C. Tang, and C. Qiuwen. Climate Change Shrinks and Fragments Habitats for Salmon in a Snow-Dependent Region.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 49(12): e2022GL098552, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522953",
      "keyword": [
        "Meterological data",
        "soil moisture",
        "Potential evapotranspiration"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [
        {
          "title": "MET_IDAHO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522953/MET_IDAHO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-28",
      "references": [
        "https://doi.org/10.1029/2022gl098552"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Inversion emissions using Crl NH_3 measurements with bi and uni-directional  flux schemes outside data",
      "description": "The datasets in the links consist of European surface  NH3  measurements,  NHx  wet  deposition  measurements, (at  https://ebas.wp2.nilu.no/data-access/,    https://uk-air.defra.gov.uk/,    https://zenodo.org/record/4513855#.YRt41edBphE,  https://data.rivm.nl/data/luchtmeetnet/  [Dataset],  https://man.rivm.nl/,   https://www.bafu.admin.ch/bafu/en/home/topics/air/publications-studies/studies.html ,   and https://ebas.wp2.nilu.no/data-access/ ) and  satellite based CrIS CPFR Version 1.5 ammonia retrievals (https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/snpp/nh3/). \n\nThis dataset is associated with the following publication:\nCao, H., D. Henze, L. Zhu, M. Shephard, K. Cady-Pereira, E. Dammers, M. Sitewell, N. Heath, C. Lonsdale, J. Bash, K. Miyazaki, C. Flechard, Y. Fauvel, R. Wichink-Kruit, S. Feigenspan, C. Brümmer, F. Schrader, M. Twigg, S. Leeson, Y. Tang, A. Stephens, C. Braban, K. Vincent, M. Meier, E. Seitler, C. Geels, T. Ellermann, A. Sanocka, and S. Capps. 4D-Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS-Chem Adjoint With Bi-Directional and Uni-Directional Flux Schemes.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 127(9): e2021JD035687, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526338",
      "keyword": [
        "air quality",
        "data assimilation",
        "Nitrogen and Co-pollutants",
        "Ammonia Deposition",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ebas.wp2.nilu.no/data-access/",
          "accessURL": "https://ebas.wp2.nilu.no/data-access/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://uk-air.defra.gov.uk/",
          "accessURL": "https://uk-air.defra.gov.uk/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/record/4513855#.YRt41edBphE",
          "accessURL": "https://zenodo.org/record/4513855#.YRt41edBphE",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://data.rivm.nl/data/luchtmeetnet/",
          "accessURL": "https://data.rivm.nl/data/luchtmeetnet/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.bafu.admin.ch/bafu/en/home/topics/air/publications-studies/studies.html",
          "accessURL": "https://www.bafu.admin.ch/bafu/en/home/topics/air/publications-studies/studies.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://ebas.wp2.nilu.no/data-access/",
          "accessURL": "https://ebas.wp2.nilu.no/data-access/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/snpp/nh3/",
          "accessURL": "https://hpfx.collab.science.gc.ca/~mas001/satellite_ext/cris/snpp/nh3/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-20",
      "references": [
        "https://doi.org/10.1029/2021jd035687"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Role of Hepatic Vagal Tone in Ozone-induced Metabolic Dysfunction in the Liver",
      "description": "Air pollution has been associated with metabolic diseases and hepatic steatosis-like changes. We have shown that ozone alters liver gene expression for metabolic processes through neuroendocrine activation. This study aimed to further characterize ozone-induced changes and to determine the impact of hepatic vagotomy (HV) which reduces parasympathetic influence. Twelve-week-old male Wistar-Kyoto rats underwent HV or sham surgery five-six days prior to air or ozone exposure (0 or 1 ppm; 4 h/d for one or two days). Ozone-induced lung injury, hyperglycemia, glucose intolerance, circulating lipids and liver global mRNA expression were assessed. mRNA sequencing data are already made publicly available. \n\nThis dataset is associated with the following publication:\nColonna, C., A. Henriquez, J. House, A. Motsinger-Reif, D. Alewel, A. Fisher, H. Ren, S. Snow, M.C. Schladweiler, D. Miller, C. Miller, P.R. Kodavanti, and U. Kodavanti. The Role of Hepatic Vagal Tone in Ozone-induced Metabolic Dysfunction in the Liver.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  181(2): 229-245, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521265",
      "keyword": [
        "Stress Response",
        "hepatic vagotomy",
        "glucose metabolism",
        "fatty acid metabolism",
        "Ozone",
        "cell cycle",
        "liver mRNA sequencing"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "sciencehub data 3-20-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521265/sciencehub%20data%203-20-20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-22",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evans_2022_PFAS_in-vitro_manuscript_ScienceHub_2022-6-24",
      "description": "Dataset of medium throughput (96 well plate) in vitro nuclear receptor activation assays for peroxisome proliferator activated receptor alpha (PPARa), PPAR gamma (PPARg), and estrogen receptor (ER) across a panel of per- and polyfluoroalkyl substances (PFAS), fatty acids, and pharmaceuticals. \n\nThis dataset is associated with the following publication:\nEvans, N., J. Conley, M. Cardon, P. Hartig, E. Medlock Kakaley, and L. Gray. In vitro activity of a panel of per- and polyfluoroalkyl substances (PFAS), fatty acids, and pharmaceuticals in peroxisome proliferator-activated receptor (PPAR) alpha, PPAR gamma, and estrogen receptor.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 449(116136): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526555",
      "keyword": [
        "PFAS",
        "screening",
        "bioactivity",
        "in vitro",
        "Children's Environmental Health",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "Evans_PFAS_in_vitro_manuscript_ScienceHub_dataset_2022-6-24.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526555/Evans_PFAS_in_vitro_manuscript_ScienceHub_dataset_2022-6-24.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-24",
      "references": [
        "https://doi.org/10.1016/j.taap.2022.116136"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526555/documents/Evans_PFAS_in_vitro_manuscript_ScienceHub_dataset_dictionary_2022-6-24.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chicago TW II Manuscript Data",
      "description": "A single excel file describes data from the manuscript entitled In vitro effects-based method and water quality screening model for use in pre- and post-distribution treated waters. The file is separated by figure, or figure panels, using tabbed sheet pages. Metadata, such as column headings with experimental details such as specific units of measure, sampling sites and treatments are included for each data set. A glossary of terms is provided to define the many abbreviations and acronyms used throughout the data file. Finally, narrative information has been added in data margins to describe data analysis. \n\nThis dataset is associated with the following publication:\nMedlock Kakaley, E., M. Cardon, N. Evans, L. Iwanowicz, J. Allen, E. Wagner, H. Hur, K. Bokenkamp, S. Richardson, M. Plewa, P. Bradley, K. Romanok, D. Kolpin, J. Conley, E. Gray, P. Hartig, and V. Wilson. In vitro effects-based method and water quality screening model for use in pre- and post-distribution treated waters.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 768(144750): 1, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1518534",
      "keyword": [
        "Chicago",
        "In vitro bioassay",
        "in vitro bioassays",
        "tapwater",
        "estrogen",
        "androgen"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Chicago TW II Manuscript Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518534/Chicago%20TW%20II%20Manuscript%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2020.144750"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in analyses for \"A comparison of pollen and syrup exposure routes in Bombus impatiens microcolonies: implications for pesticide risk assessment\"",
      "description": "Data used in \"A comparison of pollen and syrup exposure routes in Bombus impatiens microcolonies: implications for pesticide risk assessment\". \n\nThis dataset is associated with the following publication:\nWeitekamp, C., R. Koethe, and D. Lehmann. A comparison of pollen and syrup exposure routes in Bombus impatiens (hymenoptera: apidae) microcolonies: implications for pesticide risk assessment.   ENVIRONMENTAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 51(3): 613-620, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523109",
      "keyword": [
        "bumble bee",
        "pesticides",
        "microcolony"
      ],
      "contactPoint": {
        "fn": "Chelsea Weitekamp",
        "hasEmail": "mailto:weitekamp.chelsea@epa.gov"
      },
      "distribution": [
        {
          "title": "20220623_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523109/20220623_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-13",
      "references": [
        "https://doi.org/10.1093/ee/nvac026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental Fate of Cl-PFPECAs: Predicting the Formation of PFAS Transformation Products in New Jersey Soils",
      "description": "This file contains data from estimated chloro perfluoro polyether carboxylate (Cl-PFPECA) transformation products in soil samples collected in New Jersey by New Jersey state government personnel. Samples were originally processed and extracted in Athens, GA EPA/ORD/NERL/EMMD laboratory by Tom Jenkins and John Washington. Samples were analyzed for transformation products on the Waters LC-MS/MS instruments in Athens, GA EPA/ORD/CEMM/EPD laboratory by Marina Evich and John Washington. Instrument output was reviewed and optimized by Marina Evich and John Washington. \n\nThis dataset is associated with the following publication:\nEvich, M., M. Davis, E. Weber, C. Stevens, B. Acrey, W. Henderson, S. Goodrow, E. Bergman, and J. Washington. Environmental Fate of Cl-PFPECAs: Predicting the Formation of PFAS Transformation Products in New Jersey Soils.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(12): 7779–7788, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523042",
      "keyword": [
        "polyfluorinated alkyl substances",
        "PFAS alternatives",
        "Chemical Transformation Simulator",
        "high-resolution mass spectrometry",
        "next-generation chemicals",
        "environmental transformation"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "220518 Data supporting Evich et al 2022 ES&T.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523042/220518%20Data%20supporting%20Evich%20et%20al%202022%20ES%26T.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-18",
      "references": [
        "https://doi.org/10.1021/acs.est.1c06126"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for changes in ozone chemical regime over CONUS inferred by the inversion of NOx and VOCn",
      "description": "The dataset was created by University of Houston. For details, please contact Jia Jung at helloiamjia@gmail.com. \n\nThis dataset is associated with the following publication:\nJung, J., Y. Choi, S. Mousavinezhad, D. Kang, J. Park, A. Pouyaei, M. Ghahremanloo, M. Momeni, and H. Kim. Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation.   Atmospheric Research. Elsevier Science BV, Amsterdam,  NETHERLANDS, 270: 106076, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524677",
      "keyword": [
        "Satellite NO2 Columns",
        "air quality",
        "background ozone",
        "Chemistry Regime"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.5590569",
          "accessURL": "https://doi.org/10.5281/zenodo.5590569",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-10-21",
      "references": [
        "https://doi.org/10.1016/j.atmosres.2022.106076"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FFPE_DNA_MS_v12_20210211",
      "description": "The primary goal of this study was to investigate the effects of whether organocatalyst (ORGΔ) treatment improves DNA-sequencing data by overcoming formalin-induced artifacts from clinical formalin-fixed paraffin-embedded (FFPE) samples.  We isolated RNA and DNA ± ORGΔ from paired FFPE and frozen human renal and ovarian carcinoma specimens collected as part of the National Cancer Institute Biospecimen Pre-analytical Variables program. Tumor types were microscopically confirmed from adjacent tissue sections. Following extraction, DNA was fragmented and sequence differences were compared between frozen and FFPE sample pairs. Treatment with ORGΔ improved concurrent SNP calls in FFPE DNA compared to non-ORGΔ FFPE samples and enhanced confidence in SNP calls for all FFPE DNA samples, beyond that of matched frozen samples. In general, the concordant SNPs identified in paired frozen and FFPE DNA samples agreed for both genotype and homozygosity vs. heterozygosity of calls regardless of ORGΔ treatment. The increased confidence in ORGΔ FFPE DNA variant calls relative to the matched frozen DNA suggests a novel application of this method. With further optimization, this method may improve quality of DNA-sequencing data in frozen as well as FFPE tissue samples. These findings could have important implications for studies using FFPE samples, especially if adequate matched controls are not available. \n\nThis dataset is associated with the following publication:\nWehmas, L., C. Wood, P. Guan, M. Gosink, and S. Hester. Organocatalyst treatment improves variant calling and mutant detection in archival clinical samples.   Scientific Data. Springer Nature, New York, NY,  12: 6509, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522621",
      "keyword": [
        "archival",
        "Single Nucleotide Polymorphism (SNP)",
        "human tumors",
        "DNA-seq",
        "Exome"
      ],
      "contactPoint": {
        "fn": "Leah Wehmas",
        "hasEmail": "mailto:wehmas.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "DNA - SNP Quality by Group Fig2A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/DNA%20-%20SNP%20Quality%20by%20Group%20Fig2A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FFPE_DNA_ms_Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/FFPE_DNA_ms_Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SNP_Count_Totals.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/SNP_Count_Totals.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SNP_Analyses_GQ_tissue_comp.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/SNP_Analyses_GQ_tissue_comp.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SNP Types Fig3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/SNP%20Types%20Fig3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RNA - SNP Quality by Group Fig2B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522621/RNA%20-%20SNP%20Quality%20by%20Group%20Fig2B.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-17",
      "references": [
        "https://doi.org/10.1038/s41598-022-10301-0",
        "https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001304.v1.p1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Targeted RNA-sequencing of aged FFPE liver tissue data",
      "description": "Gene expression data on >20 year-old, paired frozen and archival FFPE liver samples generated using targeted resequencing (TempO-Seq) and whole-genome RNA-sequencing methods. Samples were originally collected from male mice exposed to a reference chemical (dichloroacetic acid, DCA) at 0, 198, 313 and 427 mg/kg-day, (n=6/dose) by drinking water for 6 days. Portions of this dataset are inaccessible because: Including all of these files on ScienceHub would exceed the 1 Gb limit. They can be accessed through the following means: The data is stored on the L: Drive. Information on all of the files and file paths are indicated in the 20210923_Readme.xlsx file uploaded with the data. Format: Excel files, tab delimited files, csv files, and sequencing FASTQ files. \n\nThis dataset is associated with the following publication:\nCannizzo, M., C. Wood, S. Hester, and L. Wehmas. Case study: Targeted RNA-sequencing of aged formalin-fixed paraffin-embedded samples for understanding chemical mode of action.   Toxicology Reports. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 883-894, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523143",
      "keyword": [
        "Formalin-fixed paraffin-embedded (FFPE)",
        "RNA-sequencing",
        "dichloroacetic acid",
        "benchmark dose analysis"
      ],
      "contactPoint": {
        "fn": "Leah Wehmas",
        "hasEmail": "mailto:wehmas.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78962",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE78962",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20210923_Readme.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523143/20210923_Readme.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20210908_DCA9402_Additional_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523143/20210908_DCA9402_Additional_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20210908_DCA9402_MS_tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523143/20210908_DCA9402_MS_tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-23",
      "references": [
        "https://doi.org/10.1212/nxi.0000000000001078"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biochar Pb Bioaccessibility",
      "description": "Data describes the impact of biochar amendments on soil lead bioaccessibility. It contains the raw soil bioaccessibility information. \n\nThis dataset is associated with the following publication:\nPlunkett, S., C. Eckley, T. Luxton, and M. Johnson. The effects of biochar and redox conditions on soil Pb bioaccessibility to people and waterfowl.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 294: 133675, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522927",
      "keyword": [
        "heavy metals",
        "biochar",
        "remediation",
        "Bioaccessibility",
        "soil"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Plunkett Biochar Pb Bioaccessibility.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522927/Plunkett%20Biochar%20Pb%20Bioaccessibility.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-28",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2022.133675"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diabetes control is associated with environmental quality in the U.S. ",
      "description": "Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined as the propor-tion of people within a county who had previously been diagnosed with diabetes (high fasting plasma glu-cose 126 mg/dL, hemoglobin A1c (HbA1c) of 6.5%, or diabetes diagnosis) but do not currently have high fasting plasma glucose or HbA1c for the period 2004-2012. DC prevalence estimates were calculated using a two-stage approach. The first stage used National Health and Nutrition Examination Survey (NHANES) data to predict high fasting plasma glucose (FPG) levels (≥126 mg/dL) and/or HbA1C levels (≥6.5% [48 mmol/mol]) based on self-reported demographic and behavioral characteristics (16). This model was then applied to Behavioral Risk Factor Surveillance System (BRFSS) data to impute high FPG and/or HbA1C status for each BRFSS respondent (16). The second stage used the imputed BRFSS data to fit a series of small area models, which were used to predict county-level prevalence of diabetes-related outcomes, including DC (16).\nThe EQI was constructed for 2006-2010 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015).\nResults are reported as prevalence rate differences (PRD) with 95% confidence intervals (CIs) comparing the highest quintile/worst environmental quality to the lowest quintile/best environmental quality expo-sure metrics. PRDs are representative of the entire period of interest, 2004-2012. Due to availability of DC data and covariate data, not all counties were captured, however, the majority, 3134 of 3142 were utilized in the analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. \n\nThis dataset is associated with the following publication:\nJagai, J., A. Krajewski, K. Price, D. Lobdell, and R. Sargis. Diabetes control is associated with environmental quality in the USA.   Endocrine Connections. BioScientifica Ltd., Bristol,  UK, 10(9): 1018-1026, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519255",
      "keyword": [
        "environmental quality",
        "air quality",
        "water quality",
        "built environment",
        "sociodemographic quality",
        "land quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2020-07-31",
      "references": [
        "https://doi.org/10.1530/ec-21-0132"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "High-resolution coastal acidification monitoring data collected in seven estuaries along the US East Coast, US West Coast and Gulf of Mexico from 2015-04-23 to 2020-07-29",
      "description": "This dataset includes high-frequency (hourly to sub-hourly) coastal acidification time-series data collected during nine deployments in the aforementioned seven estuaries along the US East Coast, US West Coast and Gulf of Mexico from 2015-04-23 to 2020-07-29. These data include water temperature, salinity, partial pressure of carbon dioxide (pCO2) in water, dissolved oxygen (DO) in water, and pH on the total scale. The instruments used to collected these data include Sunburst SAMI-CO2, Pro-Oceanus CO2-Pro CV and a LiCOr LI-820 CO2 gas analyzers for autonomous pCO2 measurements, Sea-Bird SeapHOx and SeaFET instruments for pH measurements, Sea-Bird SeapHOx and Aanderaa Oxygen Optode instruments for DO measurements, and YSI water sensing instrument packages for measurements of conductivity (salinity), temperature and depth. Beginning in 2015, the U.S. Environmental Protection Agency’s (EPA) National Estuary Program (NEP) started a collaboration with partners in seven estuaries along the East Coast (Barnegat Bay; Casco Bay), West Coast (Santa Monica Bay; San Francisco Bay; Tillamook Bay), and the Gulf of Mexico (GOM) Coast (Tampa Bay; Mission-Aransas Estuary) of the United States to expand the use of autonomous monitoring partial pressure of carbon dioxide (pCO2) and pH sensors to evaluate carbonate chemistry in the estuarine environment. \n\nThis dataset is associated with the following publication:\nRosenau, N., H. Galavotti, K. Yates, C. Bohlen, C. Hunt, M. Liebman, C.A. Brown, S. Pacella, J. Largier, K. Nelson, X. Hu, M. McCutcheon, J. Vasslides, M. Poach, T. Ford, K. Johnston, and A. Steele. Integrating high-resolution coastal acidification monitoring data across seven United States estuaries.   Frontiers in Marine Science. Frontiers, Lausanne,  SWITZERLAND, 19: 679913, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527739",
      "keyword": [
        "national estuary program",
        "Nitrogen and Co-pollutants",
        "climate change",
        "coastal acidification",
        "monitoring"
      ],
      "contactPoint": {
        "fn": "Stephen Pacella",
        "hasEmail": "mailto:pacella.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0225225",
          "accessURL": "https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0225225",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-27",
      "references": [
        "https://doi.org/10.3389/fmars.2021.679913"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data release for tempest1d: Recursive Estimation of Vertical Groundwater/Surface-Water Exchange using Heat Tracing",
      "description": "This data release provides a recursive-estimation framework to infer groundwater/surface-water exchange based on temperature time series collected at different vertical depths below the sediment/water interface. \n\nThis dataset is associated with the following publication:\nMcAliley, W.A., F.D. Day-Lewis, D. Rey, M.A. Briggs, A.M. Shapiro, and D. Werkema. Application of Recursive Estimation to Heat Tracing for Groundwater/Surface-Water Exchange.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 58(6): e2021WR030443, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526554",
      "keyword": [
        "temperature",
        "heat",
        "groundwater",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/60a55c71d34ea221ce48b9e7",
          "accessURL": "https://www.sciencebase.gov/catalog/item/60a55c71d34ea221ce48b9e7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-24",
      "references": [
        "https://doi.org/10.1029/2021wr030443"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata of tables and figures",
      "description": "Metadata. \n\nThis dataset is associated with the following publication:\nJesus Eulisis, C., M.d.C. Gonzalez-Chavez, R. Carrillo-Gonzalez, J.L. Garcia-Cue, D. Fernandez-Reynoso, M. Noerpel, and K. Scheckel. Bioaccessibility of potentially toxic elements in mine residue particles.   Environmental Science:  Processes & Impacts. RSC Publishing, Cambridge,  UK, 23(2): 367-380, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527694",
      "keyword": [
        "Speciation",
        "Dust",
        "bioavailability",
        "Mining contamination"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta Data for ORD 000256.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527694/Meta%20Data%20for%20ORD%20000256.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-07",
      "references": [
        "https://doi.org/10.1039/d0em00447b"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata of tables and figures",
      "description": "Metadata. \n\nThis dataset is associated with the following publication:\nXing, W., H. Yang, J. Ippolito, Y. Zhang, K. Scheckel, and L. Li. Lead source and bioaccessibility in windowsill dusts within a Pb smelting-affected area.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 266(2): 115110, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527692",
      "keyword": [
        "lead",
        "mining",
        "urban contamination",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta Data for ORD 000257.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527692/Meta%20Data%20for%20ORD%20000257.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-11-01",
      "references": [
        "https://doi.org/10.1016/j.envpol.2020.115110"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata of tables and figures",
      "description": "Metadata. \n\nThis dataset is associated with the following publication:\nFu, C., C. Tu, H. Zhang, Y. Li, L. Li, Q. Zhou, K. Scheckel, and Y. Luo. Soil accumulation and chemical fractions of Cu in a large and long-term coastal apple orchard, North China.   Journal of Soils and Sediments. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 20: 3712-3721, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527695",
      "keyword": [
        "plant uptake",
        "soil contamination",
        "Copper",
        "extractable metals"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta Data for ORD 000259.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527695/Meta%20Data%20for%20ORD%20000259.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-01",
      "references": [
        "https://doi.org/10.1007/s11368-020-02676-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata of tables and figures",
      "description": "Metadata. \n\nThis dataset is associated with the following publication:\nJesus Eulisis, C., M.d.C. Gonzalez-Chavez, R. Carrillo-Gonzalez, K. Scheckel, D. Tapia Maruri, and J. Garcia Cue. Metal(loid) bioaccessibility of atmospheric particulate matter from mine tailings at Zimapan, Mexico.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 28: 19458-19472, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527693",
      "keyword": [
        "particulate matter",
        "metals",
        "bioavailability",
        "Mining contamination"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta Data for ORD 000258.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527693/Meta%20Data%20for%20ORD%20000258.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-04",
      "references": [
        "https://doi.org/10.1007/s11356-020-11887-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary data for Joint species distribution models reveal geographical variation in taxon-specific sensitivities and tolerances to potential anthropogenic alteration",
      "description": "This is coefficient estimates and model performance metrics from the EPA National Rivers and Streams Assessment data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527632",
      "keyword": [
        "benthic macroinvertebrates",
        "National Rivers and Streams Assessment Program",
        "Tolerances and Preferences",
        "Taxon-Environment Relationships"
      ],
      "contactPoint": {
        "fn": "John Stoddard",
        "hasEmail": "mailto:stoddard.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Kopp_Taxon Relationships_DataS1_Optima_final.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527632/Kopp_Taxon%20Relationships_DataS1_Optima_final.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kopp_Taxon Relationships_DataS2_ModelFit_final.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527632/Kopp_Taxon%20Relationships_DataS2_ModelFit_final.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kopp_Taxon Relationships_DataS3_FixedEffects_final.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527632/Kopp_Taxon%20Relationships_DataS3_FixedEffects_final.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527632/documents/Kopp_Taxon%20Relationships_Supplementary.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "NEEAR/SCCWRP/UCB recreational water studies",
      "description": "Deidentified datasets and water quality data from EPA, SCCWRP and UC Berkeley recreational water epidemiology studies. \n\nThis dataset is associated with the following publication:\nWade, T., B. Arnold, K. Schiff, J. Colford, S. Weisberg, J. Griffith, and A. Dufour. Health risks to children from exposure to fecally-contaminated recreational water.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, issue}: 17, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526511",
      "keyword": [
        "fecal indicator bacteria",
        "diarrhea",
        "recreational water",
        "water quality",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://osf.io/i3742/",
          "accessURL": "https://osf.io/i3742/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-07",
      "references": [
        "https://doi.org/10.1371/journal.pone.0266749"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "moon et al 2021 - underlying dataset (selected NLA 2007 and 2012 data)",
      "description": "Underlying dataset for the publication \nStoichiometric imbalances complicate prediction of phytoplankton biomass in U.S. lakes: Implications for nutrient criteria. David L. Moon , J. Thad Scott, Tom R. Johnson. Limnology and Oceanography.  66, 2021, 2967–2978.  doi: 10.1002/lno.11851. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527742",
      "keyword": [
        "lentic",
        "eutrophication",
        "nitrogen",
        "phosphorus",
        "limiting factor",
        "stoichiometry",
        "probabilistic",
        "NLA",
        "nutrient criteria"
      ],
      "contactPoint": {
        "fn": "David Moon",
        "hasEmail": "mailto:moon.dave@epa.gov"
      },
      "distribution": [
        {
          "title": "moon et al 2021 - underlying dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527742/moon%20et%20al%202021%20-%20underlying%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-19",
      "references": [
        "https://dx.doi.org/10.1002/lno.11851"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527742/documents/Moon%20et%20al%202021%20variable%20List.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Data for New Aerosol Dry Deposition Model",
      "description": "Fig1-needleleaf forest.txt contains all the observation data with each reference given for figure 1.  The deposition velocity vd and diameter dp are shown in ordered arrays.  vd_err and dp_err define the deposition velocity and diameter error bars.\n\nFig 2-needleleaf.txt contains same observation data as Fig1-needleleaf forest.txt\n\nFig3-Broadleaf forest.txt contains all the observation data with each reference given for broadleaf forests in Fig 3.  Data format same as Fig1\n\nFig4-Grasst.txt contains all the observation data with each reference given for grass in Fig 4.  Data format same as Fig1\n\nFig5.txt contains data from Zhang et al. 2014 for three different U* values\n\nFig6-Watert.txt contains all the observation data with each reference given for water in Fig 6.  Data format same as Fig1\n\nDataFig7,TXT is a tab-deliminated text file containing the data in tabular for for Figure 7\n\nDataFig8,TXT is a tab-deliminated text file containing the data in tabular for for Figure 8\n\nFig14a-133_P6p3_add_newadd_PM25_TOT_126719_boxplot_hourly_data.csv is a CSV file containing data for the hourly average median and 1st and 3rd quartiles of observation and two 1.33 km model runs that are represented by boxes in figure 14a.\n\nFig14b-12US1_P6p3_add_PM25_TOT_211556_boxplot_hourly_data.csvis a CSV file containing data for the hourly average median and 1st and 3rd quartiles of observation and two 12 km model runs that are represented by boxes in Figure 14b.\n\nFig15-133_P6p3_add_newadd_PM25_TOT_728997_spatialplot_diff.csv is a CSV file containing all the data for the bias and error for NEW and BASE 1.33 km model runs and the differences in bias and error between the models at AQS sites\n\nFig16-12US1_P6p3_add_PM25_TOT_971641_spatialplot_diff.csv  is a CSV file containing all the data for the bias and error for NEW and BASE 12 km model runs and the differences in bias and error between the models at AQS sites\n\nFig17-12US1_P6p3_add_PM25_TOT_104554_spatialplot_diff.csv is a CSV file containing all the data for the bias and error for NEW and BASE 12 km model runs and the differences in bias and error between the models at IMPROVE sites. Portions of this dataset are inaccessible because: Figs 9-13 are all plots directly from CMAQ output files which are far too large. They can be accessed through the following means: Can contact primary author, Jon Pleim, to access the data. Format: CMAQ netcdf output files",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524715",
      "keyword": [
        "atmospheric deposition",
        "aerosols",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Jonathan Pleim",
        "hasEmail": "mailto:pleim.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig16-12US1_P6p3_add_PM25_TOT_971641_spatialplot_diff.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524715/Fig16-12US1_P6p3_add_PM25_TOT_971641_spatialplot_diff.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Fig8.TXT",
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          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "DataFig7.TXT",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524715/DataFig7.TXT",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig17-12US1_P6p3_add_PM25_TOT_104554_spatialplot_diff.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524715/Fig17-12US1_P6p3_add_PM25_TOT_104554_spatialplot_diff.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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    {
      "title": "Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use",
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          "title": "https://github.com/HumanExposure/Dawson_et_al._2022_1-4Dioxane_exposure_workflow",
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        "https://doi.org/10.1021/acs.est.1c06996",
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    {
      "title": "Diagnostic Fragmentation Pathways for Identification of Phthalate Metabolites in Nontargeted Analysis Studies",
      "description": "Prioritized candidate molecular ions in the pooled urine spiking Level-0 (Table S1) prioritized candidate molecular ions in the pooled urine spiking Level-I (Table S2), prioritized candidate molecular ions in the pooled urine spiking Level-II (Table S3), and TIC and EICs of m/z 121.0295 from the DIA data of the pooled urine sample spiked with 100 ppb of 24 metabolite standards at a collision energy of 0, 10, 20, and 40 V, respectively (Figure S1)",
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        "exposome and exposomics",
        "Phthalate metabolites",
        "non-targeted analysis",
        "environmental health"
      ],
      "contactPoint": {
        "fn": "Alex Chao",
        "hasEmail": "mailto:chao.alex@epa.gov"
      },
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          "title": "Table 1 - summary of common fragments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527686/Table%201%20-%20summary%20of%20common%20fragments.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Supplementary Tables - Diagnostic Fragmentation Pathways_revised-clean.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527686/Supplementary%20Tables%20-%20Diagnostic%20Fragmentation%20Pathways_revised-clean.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527686/js2c00052_si_001.pdf",
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      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
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    {
      "title": "Dataset for the study investigating respiratory and cardiovascular benefits of fish oil or olive oil supplementation against acute exposure to ozone in young healthy adults",
      "description": "This study is a randomized trial to investigate whether dietary supplementation with fish oil or olive oil modulate respiratory and cardiovascular effects of acute exposure to ozone in a controlled exposure chamber in young healthy adults. The dataset contains all the data for the outcome variables. \n\nThis dataset is associated with the following publication:\nChen, H., H. Tong, W. Shen, T. Montilla, M. Case, M. Almond , H. Wells, N. Alexis , D. Peden , A. Rappold, D. Diazsanchez, R. Devlin, P. Bromberg , and J. Samet. Fish oil blunts lung function decrements induced by acute exposure to ozone in young healthy adults: A randomized trial.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 167(107407): 1, (2022).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523483",
      "keyword": [
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        "omega-3 fatty acid",
        "controlled human exposure",
        "olive oil",
        "fish oil",
        "lung function",
        "cardiovascular effects"
      ],
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        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "OMEGOZ data combined-RAPID.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523483/OMEGOZ%20data%20combined-RAPID.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LMOS 2017 Data Archive",
      "description": "Publicly accessible data archive containing EPA and non-EPA generated data for the 2017 Lake Michigan Ozone Study. Portions of this dataset are inaccessible because: Data is already publicly available on the LMOS data archive and also contains non-EPA data. They can be accessed through the following means: Via the MOS study data archive at: https://asdc.larc.nasa.gov/project/LMOS. Format: Data is housed on the NASA LMOS archive in ICARTT format. \n\nThis dataset is associated with the following publications:\nLong, R., and L. Valin. Characterization of ground-based atmospheric pollution and meteorology sampling stations during the Lake Michigan Ozone Study 2017.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(7): 866-889, (2021).\nLong, R., and L. Valin. Impacts of lake breeze meteorology on ozone gradient observations along Lake Michigan shorelines in Wisconsin.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 269: 0, (2022).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527762",
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        "Lake Michigan",
        "Nitrogen and Co-pollutants",
        "Meteorology",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://doi.org/10.1080/10962247.2021.1900000",
        "https://doi.org/10.1016/j.atmosenv.2021.118834"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Variability across Rat Acute Oral Systemic Toxicity Studies",
      "description": "Dataset for Karmaus et al. journal article 'Evaluation of Variability across Rat Acute Oral Systemic Toxicity Studies', published in Toxicological Sciences in July 2022 ( https://doi.org/10.1093/toxsci/kfac042). The Excel data file is from the following link in the article: \nThe compiled data allowed for comprehensive characterization of the variability and performance for the rat acute oral toxicity study. The data set is available for download via the National Toxicology Program’s Integrated Chemical Environment (https://ice.ntp.niehs.nih.gov/). \n\nThis dataset is associated with the following publication:\nKarmaus, A., K. Mansouri, K. To, B. Blake, J. Fitzpatrick, J. Strickland, G. Patlewicz, D. Allen, W. Casey, and N. Kleinstreuer. Evaluation of Variability Across Rat Acute Oral Systemic Toxicity Studies.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  188(1): 34-47, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527708",
      "keyword": [
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        "in vivo variability",
        "LD50",
        "establishing confidence"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "Acute_Oral_Toxicity.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527708/Acute_Oral_Toxicity.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "references": [
        "https://doi.org/10.1093/toxsci/kfac042"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Designing QSARs for parameters of high throughput toxicokinetic models using open-source descriptors",
      "description": "The MS Excel file (Dawson et al S2 Supporting information.xlsx) contains multiple sheets containing the training sets, test sets, and predictions for intrinsic metabolic clearance (Clint), fraction unbound in plasma (fup), and bioactivity-exposure ratios (BER), for ToxCast and pharmaceutical-like chemicals.  The Word file (Dawson et al S1 Supporting Information.docx) provides additional supporting information on assembly of the training and test sets for Clint, fup, and BER.  The data dictionary describes the terms used in the supporting information, S1 and S2. \n\nThis dataset is associated with the following publication:\nDawson, D., B. Ingle, K. Phillips, J. Nichols, J. Wambaugh, and R. Tornero-Velez. Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 55(9): 6505-6517, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502430",
      "keyword": [
        "Environmental toxicology",
        "plasma protein binding",
        "metabolic clearance",
        "machine learning",
        "domain of applicability",
        "quantitative structure activity relationship (QSAR"
      ],
      "contactPoint": {
        "fn": "Rogelio Tornero-Velez",
        "hasEmail": "mailto:tornero-velez.rogelio@epa.gov"
      },
      "distribution": [
        {
          "title": "Dawson et al S2 Supporting information (1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502430/Dawson%20et%20al%20S2%20Supporting%20information%20%281%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-29",
      "references": [
        "https://doi.org/10.1021/acs.est.0c06117",
        "https://pasteur.epa.gov/uploads/10.23719/1502430/documents/Dawson%20et%20al%20S1%20Supporting%20Information.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1502430/documents/Data%20Dictionary%20and%20Guide%20to%20Supporting%20Information.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Locations and numbers of past producing metal and coal mining projects",
      "description": "Locations and numbers of past producing metal and coal mining projects in NW US and Canada. \n\nThis dataset is associated with the following publication:\nSergeant, C., E. Sexton, J. Moore, A. Westwood, S. Nagorski, J. Ebersole, D.M. Chambers, S.L. O'Neal, R.L. Malison, R. Hauer, D.C. Whited, J. Weitz, J. Caldwell, M. Capito, M. Connor, C.A. Frissell, G. Knox, E.D. Lowery, R. Macnair, V. Marlatt, J. McIntyre, M.V. McPhee, and N. Skuce. Risks of mining to salmonid-bearing watersheds.   Science Advances. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 8(26): eabn0929, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527744",
      "keyword": [
        "fish",
        "Impact assessment",
        "mining",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.science.org/doi/suppl/10.1126/sciadv.abn0929/suppl_file/sciadv.abn0929_sm.pdf",
          "accessURL": "https://www.science.org/doi/suppl/10.1126/sciadv.abn0929/suppl_file/sciadv.abn0929_sm.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-07-01",
      "references": [
        "https://doi.org/10.1126/sciadv.abn0929"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory",
      "description": "This dataset is the result of a joint EPA-CPSC effort to catalogue flame retardant (and more specifically organohalogen flame retardant chemicals). Full details of how the data were collected, curated, and annotated as well as potential uses of this dataset are detailed in the Scientific Data publication: Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory (https://doi.org/10.1038/s41597-022-01351-0). \n\nThis dataset is associated with the following publication:\nBevington, C., A. Williams, C. Guider, N. Baker, B. Meyer, M. Babich, S. Robinson, A. Jones, and K. Phillips. Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory.   Scientific Data. Springer Nature, New York, NY,  9: 295, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527743",
      "keyword": [
        "Flame Retardant",
        "Organohalide Substances",
        "Chemical Use",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "cpsc_epa_fr_ofr_chemical_inventory_03312022_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527743/cpsc_epa_fr_ofr_chemical_inventory_03312022_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://epa.figshare.com/articles/dataset/The_US_CPSC_EPA_Flame_Retardant_and_Organohalogen_Flame_Retardant_Inventory/16744162",
          "accessURL": "https://epa.figshare.com/articles/dataset/The_US_CPSC_EPA_Flame_Retardant_and_Organohalogen_Flame_Retardant_Inventory/16744162",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2022-03-31",
      "references": [
        "https://doi.org/10.1038/s41597-022-01351-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Assessment of Stream and River Physical Habitat Condition",
      "description": "The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. \n\nThis dataset is associated with the following publication:\nKaufmann, P., R.M. Hughes, S. Paulsen, D. Peck, C. Seeliger, T. Kincaid, and R. Mitchell. Physical Habitat in the Conterminous U.S. Streams and Rivers, Part 2: A Quantitative Assessment of Habitat Condition..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 141: 109047, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527764",
      "keyword": [
        "riparian disturbance",
        "Ecological assessment",
        "stream habitat complexity",
        "physical habitat",
        "NARS (National Aquatic Resource Survey)",
        "Riparian Vegetation",
        "streambed stability"
      ],
      "contactPoint": {
        "fn": "Philip Kaufmann",
        "hasEmail": "mailto:kaufmann.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1407622",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-01",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.109047"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zinc transport and partitioning of a mine-impacted watershed: An evaluation of remediation efforts",
      "description": "The suspended sediment, total zinc, dissolved zinc concentrations, as well as the flow rate for the Spring River Watershed. Meteorological data was extracted from the PRISM database. Additionally, are the output values for MINTEQ simulations that were performed for part of the dataset that included pH and alkalinity measurements of the water samples. \n\nThis dataset is associated with the following publication:\nO'Connor, K.F., S.R. Al-Abed, P.X. Pinto, and P.M. Potter. Zinc transport and partitioning of a mine-impacted watershed: An evaluation of water and sediment quality.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 142: 105333, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527793",
      "keyword": [
        "Sediment Transport",
        "remediation",
        "Speciation",
        "zinc"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Minteq Simulations.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527793/Minteq%20Simulations.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Compiled SSC and Zinc Spreadsheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527793/Compiled%20SSC%20and%20Zinc%20Spreadsheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Compiled Meteorology.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527793/Compiled%20Meteorology.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-09",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2022.105333"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PISCES-miRNA data-version 2.17.2022",
      "description": "This dataset contains data of blood miRNA, cardiovascular biomarkers (i.e. inflammation, coagulation, and blood lipids), omega-3 index levels, as well as ambient PM2.5, O3 and NO2 concentrations from the panel study \"PISCES\". \n\nThis dataset is associated with the following publication:\nChen, H., S. Zhang, B. Yu, Y. Xu, A. Rappold, D. Diaz-Sanchez, J. Samet, and H. Tong. Circulating microRNAs as putative mediators in the association between short-term exposure to ambient air pollution and cardiovascular biomarkers.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 239(113604): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526082",
      "keyword": [
        "air pollution",
        "Nitrogen and Co-pollutants",
        "cardiovascular effects",
        "Mediation analysis",
        "omega-3 fatty acids",
        "microrna"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "PISCES-miRNA project data-2.17.2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526082/PISCES-miRNA%20project%20data-2.17.2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-06",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2022.113604"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A harmonized chemical monitoring database for support of exposure assessments",
      "description": "Datasets for \"A harmonized chemical monitoring database for support of exposure assessments\". \n\nThis dataset is associated with the following publication:\nIsaacs, K., J. Wall, A. Williams, K. Hobbie, J. Sobus, E. Ulrich, D. Lyons, K. Dionisio, A. Williams, C. Grulke, C. Foster, J. McCoy, and C. Bevington. A harmonized chemical monitoring database for support of exposure assessments.   Scientific Data. Springer Nature, New York, NY,  9: 314, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527740",
      "keyword": [
        "biomonitoring",
        "exposure assessments",
        "ExpoCast",
        "chemical environmental monitoring",
        "climate change",
        "Environmental Justice",
        "Nitrogen and Co-pollutants",
        "database",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "Table S7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table S1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527740/Table%20S1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.17065024.v1",
          "accessURL": "https://doi.org/10.23645/epacomptox.17065024.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-16",
      "references": [
        "https://doi.org/10.1038/s41597-022-01365-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ORD-040056: Development and Validation of the TGx-HDACi Transcriptomic Biomarker to Detect Histone Deacetylase Inhibitors in Human TK6 Cells",
      "description": "Dataset used to determine the predictive accuracy of the HDACi biomarker. \n\nThis dataset is associated with the following publication:\nCho, E., A. Rowan-Carroll, A. Williams, C. Corton, H. Li, A. Fornace, C. Hobbs, and C. Yauk. Development and Validation of the TGx-HDACi Transcriptomic Biomarker to Detect Histone Deacetylase Inhibitors in Human TK6 Cells.   Archives of Toxicology. Springer, New York, NY, USA, 95(5): 1631-1645, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520596",
      "keyword": [
        "histone deacetylase inhibitor",
        "HTTr",
        "transcript profiling",
        "epigenetics"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submission for A-ngfs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520596/Data%20submission%20for%20A-ngfs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-01",
      "references": [
        "https://doi.org/10.1007/s00204-021-03014-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research",
      "description": "Datafiles in TXT file formats listing PFAS chemicals and a list of all PFAS Chemical Lists publicly available on the CompTox Chemicals Dashboard. \n\nThis dataset is associated with the following publication:\nWilliams, A., L. Gaines, C. Grulke, C. Lowe, G. Sinclair, V. Samano, I. Thillainadarajah, B. Meyer, G. Patlewicz, and A. Richard. Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 10: 850019, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527684",
      "keyword": [
        "PFASSTRUCT",
        "CompTox Chemicals Dashboard",
        "PFAS chemicals",
        "DSSTox database"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "SI_TSCA2021.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/SI_TSCA2021.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI_PFASSTRUCTV4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/SI_PFASSTRUCTV4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI_PFAS_Harvesting_1217_2021.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/SI_PFAS_Harvesting_1217_2021.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI_Perhalocarbons.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/SI_Perhalocarbons.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI_OECD2021_contains_CF2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/SI_OECD2021_contains_CF2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS_List_Manuscript_SI_Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/PFAS_List_Manuscript_SI_Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "List_of_PFAS_chemical_lists_2021-12-29.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527684/List_of_PFAS_chemical_lists_2021-12-29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-10",
      "references": [
        "https://doi.org/10.3389/fenvs.2022.850019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vitro Metabolism of Imidacloprid and Acetamiprid in Rainbow Trout and Rat - Kolanczyk_A-dv4j_SDMP_20190918",
      "description": "The current study constitutes the first report of the metabolism of imidacloprid and acetamiprid in rainbow trout. Formation of respective metabolites 5-hydroxy-imidacloprid and N-desmethyl-acetamiprid was validated by analytical methods and demonstrated to be conserved across orders of biological organization in both microsomal and liver slice assays. Michaelis-Menten kinetics were determined for the microsomal conversion of imidacloprid to 5-hydroxy-imidacloprid in rainbow trout (Km=79.2 µM; Vmax=0.75 pmole/min/mg) and rat (Km=158.7 µM; Vmax=38.4 pmole/min/mg). Kinetics for the microsomal demethylation of acetamiprid to N-desmethyl-acetamiprid were determined in the rat (Km=70.9 µM; Vmax=4.10 pmoles/min/mg). N-desmethyl-acetamiprid was found in detectable but below quantifiable levels across the range of test concentrations which precluded a calculation of kinetic rate constants in rainbow trout (RBT). Ultimately, the formation of the metabolites 5-hydroxy-imidacloprid and N-desmethyl-acetamiprid was conserved across  RBT and rat species. \n\nThis dataset is associated with the following publication:\nKolanczyk, R., M. Tapper, B. Sheedy, and J. Serrano. In vitro metabolism of imidacloprid and acetamiprid in rainbow trout and rat.   XENOBIOTICA. Taylor & Francis, Inc., Philadelphia, PA, USA, 50(7): 805-814, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1504449",
      "keyword": [
        "Metabolism",
        "acetamiprid",
        "imidacloprid",
        "rainbow trout",
        "Rat",
        "liver slice",
        "microsomes",
        "in vitro",
        "neonicotinoid"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Imidacloprid acetamiprid trout vs rat data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504449/Imidacloprid%20acetamiprid%20trout%20vs%20rat%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-05-15",
      "references": [
        "https://doi.org/10.1080/00498254.2019.1694197"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropogenic factors associated with contaminants of emerging concern detected in inland Minnesota lakes (Phase II)",
      "description": "Data associated with this publication can be found at the University of Minnesota's Data Repository for U of M (DRUM). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527810",
      "keyword": [
        "pollution",
        "Indigenous People",
        "Anthropogenic Activity",
        "human development",
        "contaminant transport",
        "Impervious Surface",
        "LASSO models",
        "contaminants of emerging concern (CEC)"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hdl.handle.net/11299/229866",
          "accessURL": "https://hdl.handle.net/11299/229866",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-23",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2021.146188"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models",
      "description": "The data are ground penetrating radar, electrical resistivity, and interpretation data. This dataset is not publicly accessible because: Secondary data, not EPA data. It can be accessed through the following means: Contact first author, Dan Glaser. Format: Data generated and stored by USACE and Rutgers University - Newark. \n\nThis dataset is associated with the following publication:\nGlaser, D., R. Henderson, D. Werkema, T. Johnson, and R. Versteeg. Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models.   JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 248: 104027, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527828",
      "keyword": [
        "groundwater",
        "geophysics",
        "biofuels",
        "monitoring"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [],
      "modified": "2022-08-10",
      "references": [
        "https://doi.org/10.1016/j.jconhyd.2022.104027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA SPod Fenceline Monitoring Rubbertown Dataset",
      "description": "This is the dataset for the paper \"Demonstration of VOC Fenceline Sensors and Canister Grab Sampling near Chemical Facilities in Louisville, Kentucky\",  MacDonald et al.  This dataset contains the EPA SPod fenceline sensor and canister grab sample data presented in the paper along with a data dictionary describing the entries. \n\nThis dataset is associated with the following publication:\nMcDonald, M., E. Thoma, I. George, and R. Duvall. Demonstration of VOC Fenceline Sensors and Canister Grab Sampling near Chemical Facilities in Louisville, Kentucky.   Sensors. MDPI, Basel,  SWITZERLAND, 22(9): 3480, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527833",
      "keyword": [
        "SPod",
        "Fenceline Monitoring",
        "1-3 butadiene",
        "air sensor",
        "air qaulity"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "SPod_MacDonald_et_al_Dataset_Dictionary_SMDP.FY22.129_08102022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527833/SPod_MacDonald_et_al_Dataset_Dictionary_SMDP.FY22.129_08102022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-10",
      "references": [
        "https://doi.org/10.3390/s22093480"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity",
      "description": "This dataset consists of data from in vitro developmental neurotoxicity new approach methodologies (DNT-NAMs). Assays include evaluations of proliferation, apoptosis, viability, neurite outgrowth, synaptogenesis and network formation. A variety of cell models are utilized depending on the assay, and each assay may have multiple endpoints. Data have been collected and evaluated using the ToxCast PipeLine (tcpl). \n\nThis dataset is associated with the following publication:\nCarstens, K., A. Carpenter, M. Martin, J. Harrill, T. Shafer, and K. Friedman. Integrating Data From In Vitro New Approach Methodologies for Developmental Neurotoxicity.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  187(1): 62-79, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526375",
      "keyword": [
        "developmental neurotoxicity",
        "computational toxicology",
        "high-throughput",
        "New Approach Methods (Alternatives to Animal Testi",
        "ToxCast"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b?space=6112f2bee4b01a90a3fa7689#folderId=61b1235de4b0d5d4d1e33049&page=0",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b?space=6112f2bee4b01a90a3fa7689#folderId=61b1235de4b0d5d4d1e33049&page=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-Evaluation-DNTNAMs",
          "accessURL": "https://github.com/USEPA/CompTox-Evaluation-DNTNAMs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia",
      "description": "Data for \"Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia\". Portions of this dataset are inaccessible because: In excess of 1 GB. They can be accessed through the following means: https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=62fbba81e4b055edffc45a37&page=0. Format: Hundreds of documents, including Excel, PPT, PNG, and other formats. \n\nThis dataset is associated with the following publication:\nChao, A., J. Grossman, C. Carberry, Y. Lai, A. Williams, J. Minucci, S. Purucker, J. Szilagyi, K. Lu, K. Boggess, R. Fry, J. Sobus, and J. Rager. Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 167: 107385, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527845",
      "keyword": [
        "Placenta",
        "exposomics",
        "non-targeted analysis",
        "multi-omics",
        "preeclampsia"
      ],
      "contactPoint": {
        "fn": "Alex Chao",
        "hasEmail": "mailto:chao.alex@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0160412022003129-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527845/1-s2.0-S0160412022003129-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0160412022003129-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527845/1-s2.0-S0160412022003129-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-30",
      "references": [
        "https://doi.org/10.1016/j.envint.2022.107385"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PROPERTY VALUES AND CYANOBACTERIA",
      "description": "EPA generated data included satellite detections of cyanobacteria frequency that was previously published in  https://www.sciencedirect.com/science/article/pii/S1470160X21004878. All other data and analysis was through co-authors at University of Wisconsin-Madison. \n\nThis dataset is associated with the following publication:\nZhang, J., D.J. Phaneuf, and B. Schaeffer. Property values and cyanobacterial algal blooms: Evidence from satellite monitoring of Inland Lakes.   ECOLOGICAL ECONOMICS. Elsevier Science Ltd, New York, NY, USA, 199: 107481, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523367",
      "keyword": [
        "housing price",
        "economics",
        "cyanobacteria",
        "satellite",
        "water quality",
        "hedonic model"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1520731",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1520731",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-18",
      "references": [
        "https://doi.org/10.1016/j.ecolecon.2022.107481"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of RT-qPCR and ATOPlex sequencing for the sensitive detection of SARS-CoV-2 RNA for wastewater surveillance",
      "description": "Process limit of detection data for four SARS-CoV-2 RT-qPCR assays and ATOPLex sequencing platform. This dataset is not publicly accessible because: EPA does not own this data. It can be accessed through the following means: For inquiries regarding the data, please contact:\r\nDr. Warish Ahmed\r\nAffiliation: Commonwealth Scientific and Industrial Research Organisation\r\nAddress: CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia\r\nEmail: Warish.Ahmed@csiro.au. Format: Process limit of detection data for four SARS-CoV-2 RT-qPCR assays and ATOPLex sequencing platform. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Bivins, S. Metcalfe, W.J.M. Smith, R. Ziels, A. Korajkic, B. McMinn, T. Graber, and S. Simpson. RT-qPCR and ATOPlex sequencing for the sensitive detection of SARS-CoV-2 RNA for wastewater surveillance.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 220: 118621, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524803",
      "keyword": [
        "SARS-CoV-2",
        "wastewater",
        "ATOPLex",
        "rt-qpcr",
        "surveillance"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2021-12-17",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.118621"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake and landscape dataset used for analyses in Natural and anthropogenic controls on lake water-level decline and evaporation-to-inflow ratio in the conterminous US study-Fergus Limnology and Oceanography 2022",
      "description": "Lake and landscape data were compiled from the US Environmental Protection Agency National Lakes Assessment 2007 and 2012 surveys and LakeCat geospatial dataset. Additional climate variables were summarized from national PRISM and NOAA data layers following the same geoprocessing steps used in the LakeCat creation. The compiled dataset includes a derived metric that characterizes the degree of human-related water management presence on a lake that has the potential to significantly alter lake hydrology. The HydrAP metric (anthropogenic hydrological-alteration potential) uses information from the National Inventory of Dams and National Land Cover Database and is described in detail in Fergus et al. 2021. \n\nThe compiled dataset includes all lake sites in the NLA 2007 survey and only new lake sites in NLA 2012 (i.e., not resampled lake sites during the two survey periods). We retained VISIT_NO = 1 observations for the analyses for a total of 1716 observations for unique lake sites distributed across the conterminous US.  \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526381",
      "keyword": [
        "evaporation",
        "lakes",
        "Water level",
        "NARS (National Aquatic Resource Survey)",
        "hydrology"
      ],
      "contactPoint": {
        "fn": "Carol Fergus",
        "hasEmail": "mailto:fergus.emiko@epa.gov"
      },
      "distribution": [
        {
          "title": "Fergus_LO_2022_SEM_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526381/Fergus_LO_2022_SEM_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Population Trends in Hazard Zones",
      "description": "Detailed tables (and some maps) at the county level of aggregation supporting figures and tables from Titus, James. G. \"Population in floodplains or close to sea level increased in US but declined in some counties—especially among Black residents\".  Environmental Research Letters.  https://doi.org/10.1088/1748-9326/acadf5\nThe block-level results, intermediate 30-meter resolution data sets (500 GB), more county results, and associated elevation maps are available from the Climate Science and Impacts Branch. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527848",
      "keyword": [
        "sea level rise",
        "Floodplain",
        "redline",
        "climate change",
        "managed retreat",
        "Climate Change Effects",
        "Racial Disparity"
      ],
      "contactPoint": {
        "fn": "James Titus",
        "hasEmail": "mailto:titus.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Population_trends_in_hazard_zones_aggregated_results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/Population_trends_in_hazard_zones_aggregated_results.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "state_results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/state_results.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "county_results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/county_results.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "map-black-and-Hispanic-disproportional-exposure-to-sea-level-rise.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/map-black-and-Hispanic-disproportional-exposure-to-sea-level-rise.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "thematic-maps-sea-level-rise-flood-Black-Hispanic.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/thematic-maps-sea-level-rise-flood-Black-Hispanic.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental_tables_landscape.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/Supplemental_tables_landscape.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental_Tables_portrait.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/Supplemental_Tables_portrait.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Contents_of_this_Site.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527848/Contents_of_this_Site.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-11",
      "references": [
        "https://dx.doi.org/10.1088/1748-9326/acadf5"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Inadvertently Generated PCBs in Consumer Products: Concentrations, Fate and Transport, and Preliminary Exposure Assessment",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains PCB concentrations detected in consumer products and their emissions and migration concentrations on settled dust and analysis of their potential exposure. \n\nThis dataset is associated with the following publication:\nLiu, X., M. Mullin, P. Egeghy, K. Woodward, K. Compton, B. Nickel, M. Aguilar, and G. Folk. Inadvertently Generated PCBs in Consumer Products: Concentrations, Fate and Transport, and Preliminary Exposure Assessment.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524772",
      "keyword": [
        "consumer products",
        "Inadvertent PCBs",
        "Exposure Assessment",
        "emissions",
        "Dust Migration",
        "Source Characterization"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_iPCB Paper_Data Tables&Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524772/XiaoyuLiu_iPCB%20Paper_Data%20Tables%26Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-16",
      "references": [
        "https://pubs.acs.org/doi/10.1021/acs.est.2c02517"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production",
      "description": "1. All OTUs (operational taxonomic units) raw sequences\n2. Bacterial taxonomic structures at class and phylum level\n3. Analytical data generated by multiple bioinformatics analyses. This dataset is not publicly accessible because: All the data were generated by THL in Finland. There is no EPA generated data. It can be accessed through the following means: Contact Dr. Tarja Pitkanen in Finnish Institute for Health and Welfare to request all the data used for the manuscript. Here is her contact information.\n\nPhone: +358 29 524 6315\nEmail: tarja.pitkanen@thl.fi. Format: Not available. \n\nThis dataset is associated with the following publication:\nTiwari, A., A. Hokajärvi, J. SantoDomingo, M. Elk, B. Jayaprakash, H. Ryu, S. Siponen, A. Vepsäläinen, A. Kauppinen, O. Puurunen, A. Artimo, N. Perkola, T. Huttula, I.T. Miettinen, and T. Pitkänen. Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production.   Environmental Microbiome. BioMed Central Ltd, London,  UK, 16(11): 17, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517656",
      "keyword": [
        "Bacterial Communities",
        "Sewage Effluent",
        "surface water",
        "Seasonal Effects",
        "Predicted Biological Function",
        "16S rRNA Amplicon Sequencing"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [],
      "modified": "2019-12-16",
      "references": [
        "https://doi.org/10.1186/s40793-021-00379-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sun Valley SciHUB 2-2-22",
      "description": "The data is described by the Excel sheet tab names.  For example, the first Sheet covers  the Medicare and Medicaid data, which is Tabulated on the 2nd Sheet called \"Table 1\".  The mold analysis data are on Sheets 4 and 5 and the Tabulation is the next Sheet labeled  \"Table 2\". Finally the PM data is covered in the last Sheet, which is labeled \"Figure 1\". ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526503",
      "keyword": [
        "asthma",
        "mold",
        "Medicaid",
        "Medicare",
        "particulate",
        "Sun Valley"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Sun Valley SciHUB 2-2-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526503/Sun%20Valley%20SciHUB%202-2-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sun Valley SciHUB 6-10-22 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526503/Sun%20Valley%20SciHUB%206-10-22%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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      "modified": "2022-03-06",
      "references": null,
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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    {
      "title": "Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis",
      "description": "The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”.\n\nPaDEL descriptors were generated for each candidate and amenability predictions were calculated using both ESI+ and ESI- downsampled models.  The resulting dataset is available in the supplemental file “Supplemental_Application.xlsx”.\nIt should be noted that the dataset used in this demonstration is biased toward environmentally relevant chemicals, many of which appear in a large number of chemical lists on the Dashboard (see the DATA_SOURCES column in “Supplemental_Application.xlsx” for both ESI+ and ESI-).  \n\nTraining and test datasets were constructed using the PaDEL descriptors and the ESI+ and ESI- endpoint values discussed previously. These training and test sets are provided in the supplemental file “Supplemental_train_test.xlsx”.\n\nA list of descriptors is provided in the supplemental file “Supplemental_Descriptors.xlsx”.\n\nA similar plot (Figure S1) of variable importance for the ESI+ upsampled model, and a similar plot (Figure S2) of variable importance for the ESI- upsampled model can be found in “Supplemental_Figures.docx”. \n\nThis dataset is associated with the following publication:\nLowe, C., K. Isaacs, A. McEachran, C. Grulke, J. Sobus, E. Ulrich, A. Richard, A. Chao, J. Wambaugh, and A. Williams. Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 413(30): 7495-7508, (2021).",
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      "identifier": "https://doi.org/10.23719/1524095",
      "keyword": [
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        "Suspect Screening Analysis",
        "mass spectrometry",
        "machine learning",
        "random forest",
        "Predictive Modeling"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
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          "title": "Supplemental_train_test.xlsx",
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          "title": "Supplemental_ToxCast_PhaseII.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524095/Supplemental_ToxCast_PhaseII.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Supplemental_Descriptors.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524095/Supplemental_Descriptors.xlsx",
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          "title": "Supplemental_Application.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524095/Supplemental_Application.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Supplemental_Figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524095/Supplemental_Figures.docx",
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      "references": [
        "https://doi.org/10.1007/s00216-021-03713-w"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "Uncertainty Estimation Strategies for Quantitative Non-Targeted Analysis",
      "description": "N/A. \n\nThis dataset is associated with the following publication:\nGroff, L., J. Grossman, A. Kruve, J. Minucci, C. Lowe, J. McCord, D. Kapraun, K. Phillips, S. Purucker, A. Chao, C. Ring, A. Williams, and J. Sobus. Uncertainty estimation strategies for quantitative non-targeted analysis.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414(17): 4919-4933, (2022).",
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1526407",
      "keyword": [
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        "exposure estimation",
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      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
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          "title": "Figure4.pdf",
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          "mediaType": "application/pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        "https://doi.org/10.1007/s00216-022-04118-z"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
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      "accessRights": "public"
    },
    {
      "title": "Full results and analysis code for valuation of long-term coastal wetland changes in the U.S. ",
      "description": "Data produced by this study include 1) database of accretion rates, 2) interpolation and valuation Matlab code, 3) county-level wetland area changes, and 4) county-level economic impacts. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527899",
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        "Coastal Wetlands",
        "marsh migration",
        "sea level rise"
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      "contactPoint": {
        "fn": "Lauren Gentile",
        "hasEmail": "mailto:gentile.lauren@epa.gov"
      },
      "distribution": [
        {
          "title": "Fant et al. 2022 - Marsh Migration - Code and data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527899/Fant%20et%20al.%202022%20-%20Marsh%20Migration%20-%20Code%20and%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2022-08-18",
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        "https://dx.doi.org/10.1016/j.ocecoaman.2022.106248"
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        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
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      "accessRights": "public"
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    {
      "title": "Full results and analysis code for physical and economic impact of high tide flooding on US road networks",
      "description": "Data produced by this study include 1) shape file of the processed road segments within the floodplain for all coastal counties, 2) python code for processing the raw HPMS data into processed segments and identifying the segments within the flood plain, 3) delays and costs by county, year, sea level rise scenario, and adaptation scenario, and 4) Matlab code for road data statistics, distillation of the processed road segment dataset, and estimation of delays and costs for all scenarios. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
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      "identifier": "https://doi.org/10.23719/1527901",
      "keyword": [
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        "high tide flooding",
        "Economic Impact",
        "Ground Transportation"
      ],
      "contactPoint": {
        "fn": "Lauren Gentile",
        "hasEmail": "mailto:gentile.lauren@epa.gov"
      },
      "distribution": [
        {
          "title": "supplemental_materials_is.1943-555x.0000652_fant.zip",
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        "name": "U.S. Environmental Protection Agency",
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      "accessRights": "public"
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    {
      "title": "Evaluation of the Immobilization of Heavy Metals Data Set",
      "description": "Data is for 9 figures that include raw analyses of heavy metal experiment results including, screening batch tests, FTIR, XRD, pH effects Kinetic batch tests, Isotherm modeling, (Langmuir, Freundlich, Redlich-Peterson), and Column tests. \n\nThis dataset is associated with the following publication:\nWallace, A., C. Su, M. Sexton, and W. Sun. Evaluation of the Immobilization of Co-Existing Heavy Metal Ions of Pb2+, Cd2+, and Zn2+ from Water by Dairy Manure-Derived Biochar: Performance and Reusability.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(6): 04022021, (2022).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "keyword": [
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        "heavy metals",
        "sorption",
        "competition",
        "Reusability"
      ],
      "contactPoint": {
        "fn": "Chunming Su",
        "hasEmail": "mailto:su.chunming@epa.gov"
      },
      "distribution": [
        {
          "title": "Table 2 Data Kinetic Modeling.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Table%202%20Data%20Kinetic%20Modeling.xlsx",
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        {
          "title": "Figure 9 Data Column Cycle 2 and 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%209%20Data%20Column%20Cycle%202%20and%203.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%209%20Data%20Column%20Cycle%201.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Figure 6 and 7 Data Isotherm Modeling.xlsx",
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          "title": "Figure 5 Data Kinetics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%205%20Data%20Kinetics.xlsx",
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          "title": "Figure 4 Data pH Effects.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%204%20Data%20pH%20Effects.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 Data XRD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%203%20Data%20XRD.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2 Data FTIR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%202%20Data%20FTIR.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Figure 1 Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523061/Figure%201%20Data.xlsx",
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      "references": [
        "https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29EE.1943-7870.0002000"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating Manual Sampling Locations for Regulatory and Emergency Response Data Set 20200727",
      "description": "This dataset includes the modeling and simulation results from an analysis of two drinking water distribution system models. The analysis included identifying optimal grab sample locations for both regulatory and emergency response scenarios. The locations were then evaluated against the scenarios for which they were not designed. The dataset includes the node IDs for the sampling locations and the fraction of contamination scenarios detected by the locations. \n\nThis dataset is associated with the following publication:\nHaxton, T., K. Klise, D. Laky, R. Murray, C. Laird, and J. Burkhardt. Evaluating Manual Sampling Locations for Regulatory and Emergency Response.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 147(12): 04021081 1-11, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1519133",
      "keyword": [
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        "drinking water distribution system modeling",
        "grab samples",
        "modeling and optimization",
        "emergency response"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Eval_Opt_REG_Sample_ER_Haxton_20200727.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519133/Eval_Opt_REG_Sample_ER_Haxton_20200727.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Optimal sampling locations contamination extent WDS figure dataset 08242018",
      "description": "The dataset was created from simulating contamination incidents in a water distribution system and selecting optimal sampling locations to identify the contamination incident. This data includes the number of contamination scenarios still credible after each sampling cycle; the number of nodes correctly identified as being contaminated after each sampling cycle; and the number of nodes identify as likely contaminated, likely not contaminated, and uncertain after each sampling cycle. \n\nThis dataset is associated with the following publication:\nRodriguez, S., M. Bynum, C. Laird, D. Hart, K. Klise, J. Burkhardt, and T. Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems.   Journal of Infrastructure Systems. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 27(3): 1-31, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1502586",
      "keyword": [
        "Drinking water distribution system",
        "grab samples",
        "drinking water distribution system modeling",
        "modeling and optimization",
        "Source identification",
        "model uncertainty"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Opt_Sampling_Paper_Figure_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502586/Opt_Sampling_Paper_Figure_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-24",
      "references": [
        "https://doi.org/10.1061/(asce)is.1943-555x.0000628"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT Model Data Illinois River Watershed Wavelet",
      "description": "Data used in the manuscript submission that describes the use of support vector machine and wavelet decomposition for calibration of a SWAT model of the Illinois River Watershed",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527817",
      "keyword": [
        "SWAT",
        "Streamflow modeling",
        "Illinois River Basin",
        "Support Vector Machine",
        "Wavelet transform"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Data submitted to EPA.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527817/Data%20submitted%20to%20EPA.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 Manuscript_Antimicrobial Coatings_Complete Data",
      "description": "Effectiveness data of antimicrobial coatings against SARS-CoV-2. \n\nThis dataset is associated with the following publication:\nHardison, R., S. Ryan, R. Limmer, M. Crouse, S. Nelson, D. Barriga, J. Ghere, M. Stewart, S. Lee, B.M. Taylor, R. James, M. Calfee, and M. Howard. Residual Antimicrobial Coating Efficacy against SARS-CoV-2.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 132(4): 3375-3386, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522859",
      "keyword": [
        "SARS-CoV-2",
        "antimicrobial activity",
        "Antimicrobial coatings"
      ],
      "contactPoint": {
        "fn": "Shawn Ryan",
        "hasEmail": "mailto:ryan.shawn@epa.gov"
      },
      "distribution": [
        {
          "title": "Lorax Manuscript_Antimicrobial Coatings_Complete Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522859/Lorax%20Manuscript_Antimicrobial%20Coatings_Complete%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-07",
      "references": [
        "https://doi.org/10.1111/jam.15437"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase I)",
      "description": "Supporting data for \"A chemical prioritization process: Applications to contaminants of emerging concern in freshwater ecosystems (Phase 1)\". These data describe contaminants of emerging concern (CECs) detected in subsistence fish species and freshwater ecosystems on the Grand Portage Indian Reservation and adjacent 1854 Ceded Territory in Northeastern Minnesota, USA. They also contain chemical-specific information, including acute toxicity, endocrine activity, physicochemical properties, and frequency of occurrence data used to prioritize detected CECs based on their potential environmental hazard. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527932",
      "keyword": [
        "Aquatic toxicity profiles",
        "chemicals of emerging concern",
        "Pollutants",
        "indigenous peoples",
        "hazard identification",
        "hazard ranking"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.13020/cpjf-vg41",
          "accessURL": "https://doi.org/10.13020/cpjf-vg41",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-06-01",
      "references": [
        "https://dx.doi.org/10.1016/j.scitotenv.2021.146030"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Compiled data for simulating economy-wide effects of a carbon adder in New York state.",
      "description": "The dataset is produced by combining information from the Wisconsin National Data Consortium (WiNDC -- open source state level input output tables) and the State Energy Data System (Department of Energy). Programs for compiling the data from source data are available upon request. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527940",
      "keyword": [
        "Cap-and-trade programs",
        "emision taxes",
        "energy standards",
        "computable general equilibrium models",
        "applied economic analysis"
      ],
      "contactPoint": {
        "fn": "Andrew Schreiber",
        "hasEmail": "mailto:schreiber.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "carbon_adder_dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527940/carbon_adder_dataset.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-05",
      "references": [
        "https://dx.doi.org/10.1080/14693062.2021.1891018"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527940/documents/data_dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Stream features chloride v3",
      "description": "spreadsheet of data on salinity and other ancillary variables from Minebank Run stream, Baltimore, MD. \n\nThis dataset is associated with the following publication:\nKaushal, S.S., J.E. Reimer, P. Mayer, R.R. Shatkay, C.M. Mass, W. Nguyen, W.L. Boger, A.M. Yaculak, T.R. Doody, M. Pennino, N.W. Bailey, J.G. Galella, A. Weingrad, D.C. Collison, K.L. Wood, S. Haq, T. Newcomer-Johnson, S. Duan, and K.T. Belt. Freshwater salinization syndrome alters retention and release of chemical cocktails along flowpaths: From stormwater management to urban streams.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  41(3): 420-441, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527733",
      "keyword": [
        "groundwater",
        "Urban Watersheds",
        "streams",
        "sensor",
        "Nitrogen and Co-pollutants",
        "Co-Pollutants",
        "Green Infrastructure"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "stream features chloride v3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527733/stream%20features%20chloride%20v3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-12",
      "references": [
        "https://doi.org/10.1086/721469"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System",
      "description": "Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database.\nRaw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets. Portions of this dataset are inaccessible because: The transcriptomics full data file is too large to be uploaded alone onto ScienceHub, impeding ease of access. They can be accessed through the following means: Raw and processed transcriptomics data is available through Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) under accession GSE199794. Format: The full transcriptomics data set for all chemical conditions tested. \n\nThis dataset is associated with the following publication:\nSpeen, A., J. Murray, T. Krantz, D. Davies, P. Evansky, J. Harrill, L. Everett, J. Bundy, L. Dailey, W. Zander, E. Carlsten, M. Monsees, J. Hill, J. Zavala, and M. Higuchi. Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  188(1): 88-107, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524251",
      "keyword": [
        "Volatile organic compound (VOC)",
        "airway epithelial cells",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Mark Higuchi",
        "hasEmail": "mailto:higuchi.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "1-Bromopropane Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/1-Bromopropane%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1,3-butadiene Sample ID and exposure conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/1%2C3-butadiene%20Sample%20ID%20and%20exposure%20conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Acetaldehyde Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Acetaldehyde%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Acrolein Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Acrolein%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formaldehyde Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Formaldehyde%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Carbon Tetrachloride Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Carbon%20Tetrachloride%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Trichloroethylene Sample ID and Exposure Conditions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Trichloroethylene%20Sample%20ID%20and%20Exposure%20Conditions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dichloromethane Sample ID and Exposure Conditions1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524251/Dichloromethane%20Sample%20ID%20and%20Exposure%20Conditions1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-16",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: ADAM: A Web Platform for Graph-Based Modeling and Optimization of Supply Chains",
      "description": "# ADAM-Data-Repository\nThis repository contains all the data needed to run the case studies for the ADAM manuscript.\n\n## Biogas production\nThe directory \"biogas\" contains all data for the biogas production case studies (Figs 13 and 14). Specifically, \"biogas/biogas_x\" contains the data files for the scenario where \"x\" is the corresponding Renewable Energy Certificates (RECs) value. \n\n## Plastic waste recycling\nThe directory \"plastic_waste\" contains all data for the plastic waste recycling case studies (Figs 15 and 16). Different scenarios share the same supply, technology site, and technology candidate data, as specified by the \"csv\" files under \"plastic_waste\". Each scenario has a different demand data file, which is contained in \"plastic_waste/Elec_price\" and \"plastic_waste/PET_price\".\n\n## How to run the case studies\nIn order to run the case studies, one can create a new model in ADAM and upload appropriate CSV file at each step (e.g. upload `biogas/biogas_0/supplydata197.csv` in step 2 where supply data are specified). \n\nThis dataset is associated with the following publication:\nHu, Y., W. Zhang, P. Tominac, M. Shen, D. Göreke, E. Martín-Hernández, M. Martín, G.J. Ruiz-Mercado, and V.M. Zavala. ADAM: A web platform for graph-based modeling and optimization of supply chains.   COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 165: 107911, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524736",
      "keyword": [
        "organic waste",
        "nutrient pollution",
        "water pollution",
        "supply chain"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/ADAM-Data-Repository",
          "accessURL": "https://github.com/gruizmer/ADAM-Data-Repository",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-02-28",
      "references": [
        "https://doi.org/10.1016/j.compchemeng.2022.107911"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SSDn insecticide dataset",
      "description": "This is a dataset of acute toxicity values for organophosphate and carbamate insecticides. the dataset is used to develop and validate the species sensitivity distribution (SSDn) method (see manuscript for details)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527935",
      "keyword": [
        "Insecticide",
        "New Approach Methods (Alternatives to Animal Testi",
        "aquatic",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "Dhond_and_Barron_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527935/Dhond_and_Barron_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Corresponding Author Contact Information for Data in How Reactive is the Bromine in Bromochloramine (NHBrCl)? V1",
      "description": "Corresponding author information to request data. \n\nThis dataset is associated with the following publication:\nBrodfuehrer, S., J. Goodman, D. Wahman, G. Speitel, and L. Katz. Apparent Reactivity of Bromine in Bromochloramine Depends on Synthesis Method: Implicating Bromine Chloride and Molecular Bromine as Important Bromine Species.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(12): 06022006, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524465",
      "keyword": [
        "drinking water",
        "kinetics",
        "bromamines",
        "bromochloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Data Contact Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524465/Manuscript%20Data%20Contact%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-01-11",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0002070"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for LeDuc et al.. Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change",
      "description": "This dataset is for the publication of Nitrogen and sulfur deposition reductions projected to partially restore forest soil conditions in the US Northeast, while understory composition continues to shift with future climate change. Manuscript is intended for the the journal of Water, Air, & Soil Pollution. \n\nThis dataset is associated with the following publication:\nLeduc, S., C. Clark, J. Phelan, S. Belyazid, M. Bennett, K. Boaggio, J. Buckley, J. Cajka, and P. Jones. Nitrogen and Sulfur Deposition Reductions Projected to Partially Restore Forest Soil Conditions in the US Northeast, While Understory Composition Continues to Shift with Future Climate Change.   WATER, AIR, & SOIL POLLUTION. Springer, New York, NY, USA, 233(376): 1-26, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526549",
      "keyword": [
        "climate change",
        "Forests",
        "biodiversity",
        "acid deposition",
        "Atmospheric Nitrogen"
      ],
      "contactPoint": {
        "fn": "Stephen Leduc",
        "hasEmail": "mailto:leduc.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Soils data per year by scenario.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/Soils%20data%20per%20year%20by%20scenario.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Site CZI in 2100.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/Site%20CZI%20in%202100.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Relative abundance per year by scenario.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/Relative%20abundance%20per%20year%20by%20scenario.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FIA site deposition.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/FIA%20site%20deposition.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Overview for LeDuc et al_202206.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/Data%20Overview%20for%20LeDuc%20et%20al_202206.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CZI per year by scenario.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526549/CZI%20per%20year%20by%20scenario.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-22",
      "references": [
        "https://doi.org/10.1007/s11270-022-05793-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-4xh9_dataset_20210126.xlsx",
      "description": "Data corresponding to graphs in paper. \n\nThis dataset is associated with the following publication:\nHepler, K., M. Kaminski, E. VanderZee, C. VanGroningen, and M. Magnuson. Logistics Simulation of a Remediation Effort for a Hypothetical Radiological Contamination Scenario.   JOURNAL OF ENVIRONMENTAL RADIOACTIVITY. Elsevier Science Ltd, New York, NY, USA, 255: 107017, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520757",
      "keyword": [
        "radiological",
        "dirty bomb",
        "IWATERS",
        "waste water",
        "Decontamination",
        "cesium"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-xppt_dataset_20210127_Figure 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520757/MagnusonMatthew_A-xppt_dataset_20210127_Figure%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MagnusonMatthew_A-xppt_dataset_20210127_Figure 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520757/MagnusonMatthew_A-xppt_dataset_20210127_Figure%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-16",
      "references": [
        "https://doi.org/10.1016/j.jenvrad.2022.107017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Virginia Site A Database.xlsx",
      "description": "The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527770",
      "keyword": [
        "subslab soil gas",
        "vapor intrusion",
        "volatile organic compounds",
        "Passive Sampling",
        "probe construction"
      ],
      "contactPoint": {
        "fn": "Alan Williams",
        "hasEmail": "mailto:williams.alan@epa.gov"
      },
      "distribution": [
        {
          "title": "Virginia Site A Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527770/Virginia%20Site%20A%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Bitter Creek Analysis Pedigree Data",
      "description": "These data sets contain raw and processed data used in for analyses, figures, and tables in the Region 8 Memo: Characterization of chloride and conductivity levels in the Bitter Creek Watershed, WY. However, these data may be used for other analyses alone or in combination with other or new data. These data were used to assess whether chloride levels are naturally high in streams in the Bitter Creek, WY watershed and how chloride concentrations expected to protect 95 percent of aquatic genera in these streams compare to Wyoming’s chloride criteria applicable to the Bitter Creek watershed. Owing to the arid conditions, background conductivity and chloride levels were characterized for surface flow and ground water flow conditions. Natural chloride levels were found to be less than current water quality criteria for Wyoming.  Although the report was prepared for USEPA Region 8 and OST, Office of Water, the report will be of interest to the WDEQ, Sweetwater County Conservation District, and the regulated community.\nNo formal metadata standard was used.\nPedigree.xlsx contains:\n1.\tNOTES:\tDescription of work and other worksheets.\n2.\tPedigree_Summary: Source files used to create figures and tables.\t\n3.\tDataFiles: Data files used in the R code for creating the figures and tables\n4.\tR_Script: Summary of the R scripts. \n5.\tDataDictionary:\tData file titles in all data files\t\nFolders:\n_Datasets\tData file uploaded to Environmental Dataset Gateway\n\t\"A list of subfolders:\n_R:\tClean R scripts used to generate document figures and tables\n_Tables_Figures:\tFiles generated from R script and used in the Region 6 memo\nR Code and Data:\tAll additional files used for this project, including original files, \n\tintermediate files, extra output files, and extra functions\n\tthe \"\"_R\"\" folder stores R scripts for input and output files and an R project file..\nUsers can open the R project and run R scripts directly from the \"\"_R\"\" folder or the XC95 folder by installing R, RStudio, and associated R packages.\"\n\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527953",
      "keyword": [
        "surface water",
        "Energy Extraction",
        "background estimate",
        "Bitter Creek",
        "chloride",
        "conductivity",
        "groundwater"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "60 FINAL Bitter Creek Analysis Pedigree 20220729.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527953/60%20FINAL%20Bitter%20Creek%20Analysis%20Pedigree%2020220729.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1527953/documents/12%20FINAL%20Bitter%20Creek%20Report%20%2020220803.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1527953/documents/14%20FINAL%20Bitter%20Creek%20Report%20appendices20220727.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Elevated temperature landfill gas characteristics",
      "description": "Data from landfill gas wells at different elevated temperature landfills, collected and reported by owners/operators to their relevant state agencies. Secondary data. Analyzed but not collected by EPA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527938",
      "keyword": [
        "landfill gas"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "ETLF Gas SciHub Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527938/ETLF%20Gas%20SciHub%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0",
      "description": "Supporting data for CRACMMv1, including the SPECIATE database mapped to CRACMM, input to the Speciation Tool, profile files output from Speciation Tool for input to SMOKE, python code for mapping species to CRACMM, chemical mechanism, and mechanism metadata is available at https://github.com/USEPA/CRACMM. Specific analyses and scripts used in the manuscript \"Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0\" such as the 2017 U.S. species-level inventory and code for figures is available here.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527956",
      "keyword": [
        "CMAQ",
        "CRACMM",
        "hazardous air pollutants (HAPs)",
        "Ozone",
        "Nitrogen and Co-pollutants",
        "air quality",
        "secondary organic aerosol (SOA)"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CRACMM",
          "accessURL": "https://github.com/USEPA/CRACMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CRACMMdev-2022_pye_acpd.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/CRACMMdev-2022_pye_acpd.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableD4_20220912_haplist491.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/TableD4_20220912_haplist491.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableD3_20220912_cracmmhaps.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/TableD3_20220912_cracmmhaps.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableD2_20220912_speciate.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/TableD2_20220912_speciate.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableD1_20220913_cracmm1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/TableD1_20220913_cracmm1.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527956/readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation output results for fate and transformation of nano copper oxide in Lake Waccamaw, NC",
      "description": "This work simulated the release of nano copper oxide from boats in Lake Waccamaw, NC for 101 years. Throughout the duration of this study, steady state was not reached, suggesting that concentrations continue to increase during this time. Simulations showed that nano copper oxide and ionic copper accumulated to the highest concentrations in the surface sediments, followed by the deeper sediments. The simulations were sensitive to the heteroaggregation attachment efficiency, which is a function of lake water chemistry and thus site specific. Simulations with lower attachment efficiencies resulted in lower concentrations of nano copper oxide in surface water and sediments, while higher attachment efficiencies showed higher concentrations of nano copper oxide. These results suggest the importance of water chemistry on the potential ecological impact of nano copper oxide. Additionally, a modeling scenario was performed where the use of nano copper oxide on boats ceased after 50 years. Simulated results showed a phase where concentrations of nano copper oxide and ionic copper dropped, followed by a slower reduction in simulated concentrations. In the water column, ionic copper reaches a higher concentration, yet recovery concentrations decrease faster, while nano copper oxide concentrations are lower in the accumulation phase and end up higher in the recovery phase. These results have implications on the potential long-term effects of the use of nano copper oxide. \n\nThis dataset is associated with the following publication:\nRoss, B., and C. Knightes. Simulation of the Environmental Fate and Transformation of Nano Copper Oxide in a Freshwater Environment.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(9): 1532–1543, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527867",
      "keyword": [
        "water quality",
        "modeling",
        "nanomaterials",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "220816_WaccamawNanoData_FigS5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_FigS5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_FigS4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_FigS4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_FigS3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_FigS3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_FigS1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_FigS1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_Fig5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_Fig5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_Fig4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_Fig4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_Fig3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_Fig3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "220816_WaccamawNanoData_Fig2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527867/220816_WaccamawNanoData_Fig2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-17",
      "references": [
        "https://doi.org/10.1021/acsestwater.2c00157",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Swiss needle cast foliage retention metrics ",
      "description": "Swiss needle cast foliar retention metrics. \n\nThis dataset is associated with the following publication:\nLan, Y., D.C. Shaw, E. Lee, and P. Beedlow. Distribution of a foliage disease fungus within canopies of mature Douglas-fir in western Oregon.   Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 5: 743039, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528050",
      "keyword": [
        "nophophaeocryptopus gaeunannii",
        "foliar pathogen",
        "Douglas-fir",
        "fungal disease",
        "tree morphology"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Swiss Needle Cast Foliage Retention Metrics for Coastal Oregon.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528050/Copy%20of%20Swiss%20Needle%20Cast%20Foliage%20Retention%20Metrics%20for%20Coastal%20Oregon.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-15",
      "references": [
        "https://doi.org/10.3389/ffgc.2022.743039"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for AMORE-Isoprene v1.0: A new reduced mechanism for gas-phase isoprene oxidation",
      "description": "Data zip file contains the exact CMAQ code used by Wiser et al. in the development of CRACMM1AMORE. In addition, CMAQ predictions and AQS observations of formaldehyde and ozone appearing in Figure 8 are included as csv files. For information on CMAQ file conventions as well as site compare output for model/observation evaluation, see the linked github repository for CMAQ. Linked dois include the standard CMAQv5.3.3 code and AMORE supplementary files.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527975",
      "keyword": [
        "Formaldehyde",
        "isoprene",
        "Ozone",
        "air quality",
        "CMAQ",
        "CRACMM"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.5213949",
          "accessURL": "https://doi.org/10.5281/zenodo.5213949",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7106505",
          "accessURL": "https://doi.org/10.5281/zenodo.7106505",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20220916_CMAQ_AMORE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527975/20220916_CMAQ_AMORE.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List - Supporting Analysis",
      "description": "As described in the associated manuscript, two tests were run to evaluate interoperability in life cycle assessment (LCA) elementary flow (EF) lists. The first looks at various LCA sources and analyzed how interoperable the original source EF lists are by comparing unique name-to-name matches across sources. The second analysis compares sources that are mapped to the Federal Elementary Flow List (FEDEFL) as a common source list and measures the improvement in interoperability in the increase of flows that are mapped between sources. These analysis were performed in this dataset. \n\nThis dataset is associated with the following publication:\nEdelen, A.N., S. Cashman, B. Young, and W.W. Ingwersen. Life Cycle Data Interoperability Improvements through Implementation of the Federal LCA Commons Elementary Flow List.   Applied Sciences. MDPI, Basel,  SWITZERLAND, 12(19): 9687, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527971",
      "keyword": [
        "elementary flows",
        "openLCA",
        "GaBi",
        "SimaPro",
        "USEEIO",
        "ecoinvent",
        "ImpactWorld+",
        "TRACI"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "LifeCycleDataInteroperability-SupportingAnalysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527971/LifeCycleDataInteroperability-SupportingAnalysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-28",
      "references": [
        "https://doi.org/10.3390/app12199687"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GP_betasdam Final data and code",
      "description": "GP_betasdam Final data and code. \n\nThis dataset is associated with the following publication:\nEddy, M., S. Gross, K. Fritz, B. Topping, T. Nadeau, R. Edgerton, and J. Kelso. Data Supplement to Development and Evaluation of the Beta Streamflow Duration Assessment Method (SDAM) for the Great Plains (GP). U.S. Environmental Protection Agency, Washington, DC, USA, 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527943",
      "keyword": [
        "ephemeral",
        "permanence",
        "rapid assessment",
        "classification",
        "temporary",
        "drying",
        "perennial",
        "intermittent",
        "hydrology",
        "indicators",
        "intermittency"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "GP_betasdam Final data and code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527943/GP_betasdam%20Final%20data%20and%20code.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-22",
      "references": [
        "https://www.epa.gov/system/files/documents/2022-09/devel-eval-of-the-beta-sdam-for-the-gp.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527943/documents/gp_data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "ESCO Manuscript data",
      "description": "Landsat geo-referenced data and maps. This dataset is not publicly accessible because: File is too large to upload, it has been forwarded to ScienceHub poc for upload. It can be accessed through the following means: Contact PIPO - Blake Schaeffer. Format: Landsat geo-referenced data and maps. \n\nThis dataset is associated with the following publication:\nLebrasse, M., B. Schaeffer, M. Coffer, P. Whitman, R. Zimmerman, V. Hill, K. Aminul Islam, J. Li, and C.L. Osburn. Temporal Stability of Seagrass Extent, Leaf Area, and Carbon Storage in St. Joseph Bay, Florida: a Semi-automated Remote Sensing Analysis.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 45: 2082–2101, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520552",
      "keyword": [
        "Landsat",
        "satellite",
        "submerged aquatic vegatation",
        "seagrass",
        "water quality",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2020-10-30",
      "references": [
        "https://doi.org/10.1007/s12237-022-01050-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bailey_BW_OTUs.xls",
      "description": "OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. \n\nThis dataset is associated with the following publication:\nBailey, S.A., T. Brydges, O. Casas-Monroy, J. Kydd, R.D. Linley, R.M. Rozon, and J. Darling. First evaluation of ballast water management systems on operational ships for minimizing introductions of nonindigenous zooplankton.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 182: 113947, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526068",
      "keyword": [
        "non-indigenouos species",
        "metabarcoding",
        "ballast water management system",
        "zooplankton",
        "ballast water",
        "biodiversity",
        "parasite"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Bailey_BW_OTUs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526068/Bailey_BW_OTUs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-31",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2022.113947"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaccessibility of Arsenic from Contaminated Soils and Alteration of the Gut Microbiome in an In Vitro Gastrointestinal Model",
      "description": "Microbiome analyses. \n\nThis dataset is associated with the following publication:\nGriggs, J., L. Chi, N. Hanley, M. Kohan, K. Herbin-Davis, D. Thomas, K. Lu, R. Fry, and K. Bradham. Bioaccessibility of Arsenic from Contaminated Soils and Alteration of the Gut Microbiome in an In Vitro Gastrointestinal Model.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 309: 119753, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524696",
      "keyword": [
        "in vivo mouse assays",
        "arsenic",
        "microbiome",
        "Bioaccessibility",
        "Soils"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [
        {
          "title": "Bioaccessibility of Arsenic from Contaminated Soils and Alteration of the Gut Microbiome in an In Vitro Gastrointestinal Model.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524696/Bioaccessibility%20of%20Arsenic%20from%20Contaminated%20Soils%20and%20Alteration%20of%20the%20Gut%20Microbiome%20in%20an%20In%20Vitro%20Gastrointestinal%20Model.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1016/j.envpol.2022.119753"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFECA Isomers QQQ Method Dev_Data",
      "description": "Raw data (peak area and height, retention time) for each mass transition for each sample. \n\nThis dataset is associated with the following publication:\nMiller, K., and M. Strynar. Improved Tandem Mass Spectrometry Detection and Resolution of Low Molecular Weight Perfluoroalkyl Ether Carboxylic Acid Isomers.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 9(9): 747-751, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524787",
      "keyword": [
        "method development",
        "Perfluoroalkyl Ether Carboxylic Acid (PFECA)",
        "Isomers",
        "Per- and polyfluoroalkyl substances (PFAS)",
        "Liquid Chromatography-Tandem Mass Spectrometry (LC"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "PFECA Isomers QQQ Method Dev_Data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524787/PFECA%20Isomers%20QQQ%20Method%20Dev_Data.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-22",
      "references": [
        "https://doi.org/10.1021/acs.estlett.2c00509"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bacterial and Viral Fecal Indicator Predictive Modeling Using Gradient Boosting at Three Great Lakes Recreational Beach Sites",
      "description": "Water quality measurements at 3 beach sites in the Great Lakes from the summer of 2015: Edgewater Beach, OH; Grant Park, WI; Washington Park, MI. Data include associated environmental parameters (meteorological and hydrologic). Microbial data include cultured fecal indicator bacteria, coliphage, and molecular marker (qPCR) measurements. Detailed description of data collection activities can be found in Wanjugi et al. 2018:\nhttps://www.sciencedirect.com/science/article/pii/S004313541830349X. Portions of this dataset are inaccessible because: It is included. They can be accessed through the following means: ScienceHub. Format: Excel File with a \"MetaData\" tab describing the data columns. \n\nThis dataset is associated with the following publication:\nCyterski, M., O. Shanks, P. Wanjugi, B. McMinn, A. Korajkic, K. Oshima, and R. Haugland. Bacterial and Viral Fecal Indicator Predictive Modeling Using Gradient Boosting at Three Great Lakes Recreational Beach Sites.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 223: 118970, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524662",
      "keyword": [
        "Great Lakes",
        "fecal indicators",
        "coliphage",
        "statistical modeling"
      ],
      "contactPoint": {
        "fn": "Michael Cyterski",
        "hasEmail": "mailto:cyterski.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524662/ScienceHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-15",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.118970"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Field_Bioretention_Manuscript_Data_UVM_DWTR",
      "description": "Data is organized using an excel spreadsheet. We included a METADATA sheet in the data file to document what is in each sheet. Data collected include phosphorus loads from bioretention cells, heavy metals, hydraulicdata collected include phosphorus load/concentration and heavy metals. \n\nThis dataset is associated with the following publication:\nAment, M.R., E.D. Roy, Y. Yuan, and S.E. Hurley. Phosphorus Removal, Metals Dynamics, and Hydraulics in Stormwater Bioretention Systems Amended with Drinking Water Treatment Residuals.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 8(3): 04022003, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522397",
      "keyword": [
        "Green stormwater",
        "bioretention",
        "drinking water treatment residuals",
        "phosphorus removal",
        "metals"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Field_Bioretention_Manuscript_Data_UVM_DWTR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522397/Field_Bioretention_Manuscript_Data_UVM_DWTR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-04",
      "references": [
        "https://doi.org/10.1061/jswbay.0000980"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from MeBr burn emissions",
      "description": "Data on emissions from small scale burns of MeBr-contaminated agricultural biomass. \n\nThis dataset is associated with the following publication:\nAurell, J., B. Gullett, D. Helder, and R. Elleman. Characterization of Emissions from Burning Methyl-Bromide-Treated Crop Biomass.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 72(6): 581-591, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521127",
      "keyword": [
        "Agricultural burns",
        "alfalfa",
        "methyl bromide",
        "emissions",
        "Contamination"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub 11-19-2019 Gullett MeBr.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521127/Data%20Table%20Science%20Hub%2011-19-2019%20Gullett%20MeBr.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-19",
      "references": [
        "https://doi.org/10.1080/10962247.2021.2013343"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Incorporating New Technologies in EEIO Models - Case Study Input Data",
      "description": "The dataset includes three input data file used in modeling woody-based biofuels in the USEEIO framework. The files are referenced in the model specification .yml file within that defines new technologies within useeior here https://github.com/USEPA/useeior/tree/19e0898f0a0c1b50a62a589017ea45924b85add5/inst/extdata/newTechspecs. \nThese technologies and the procedures for modeling the biofuels based on them within USEEIO is described in the associated manuscript. \n\nThis dataset is associated with the following publication:\nAzuero-Pedraza, C.G., V.M. Thomas, and W.W. Ingwersen. Incorporating New Technologies in EEIO Models.   Applied Sciences. MDPI, Basel,  SWITZERLAND, 12(14): 7016, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528056",
      "keyword": [
        "Gas fermentation",
        "Guerbet Reaction",
        "Fischer-tropsch",
        "biofuels"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.35090/GATECH/66391",
          "accessURL": "https://doi.org/10.35090/GATECH/66391",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-12",
      "references": [
        "https://doi.org/10.3390/app12147016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Riparian groundwater quality",
      "description": "Surface water and groundwater chemistry collected at 5 urban stream study sites. This dataset is not publicly accessible because: Checking with University of Maryland for data availability. It can be accessed through the following means: Checking with University of Maryland for data availability. Format: Checking with University of Maryland for data availability. \n\nThis dataset is associated with the following publication:\nWood, K., S. Kaushal, P. Vidon, P. Mayer, and J. Galella. Tree Trade-Offs in Stream Restoration: Impacts on Riparian Groundwater Quality.   Urban Ecosystems. Springer Science+Business Media B.V, Dordrecht,  NETHERLANDS, 25: 773-795, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520710",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "riparian buffer",
        "groundwater",
        "plant nutrients"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2021-04-06",
      "references": [
        "https://doi.org/10.1007/s11252-021-01182-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Background Specific Conductivity and Associated 5% Extirpation Estimates in Arkansas",
      "description": "This is a detailed pedigree of the data sets, figures, tables, and R-code for the technical support document: Background Specific Conductivity and Associated 5% Extirpation Estimates in Arkansas. EPA/600/R-22/215. The data set includes curated data for specific conductivity, major ions, estimated background SC from observed and modeled data, and estimated 5% extirpation values. \n\nThis dataset is associated with the following publication:\nCormier, S., C. Wharton, and Y. Wang. Background Specific Conductivity and  Associated 5% Extirpation Estimates in Arkansas. U.S. Environmental Protection Agency, Washington, DC, USA, ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527958",
      "keyword": [
        "Arkansas",
        "conductivity",
        "total dissolved solids",
        "water quality criteria",
        "field-based"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Arkansas Pedigree20220919.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527958/Arkansas%20Pedigree20220919.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chamber study 2021 measurement data",
      "description": "High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. \n\nThis dataset is associated with the following publication:\nUrbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS,  0000, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523158",
      "keyword": [
        "wildland fire smoke",
        "emission factors",
        "prescribed fire"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "AE_paper_10_sec_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523158/AE_paper_10_sec_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fuel_reports.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523158/Fuel_reports.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-23",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2022.100188"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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    },
    {
      "title": "Processing Difficult B. anthracis Sample Matrices 6-2022 Manuscript Submission Dataset",
      "description": "Dataset for bench-scale project evaluating methods to improve detection and sensitivity of Bacillus anthracis detection in 'difficult' sample matrices (i.e., soil, wet vacuum, stormwater runoff). \n\nThis dataset is associated with the following publication:\nNelson, S., K. Hofacre, S. Shah, E. Silvestri, V. Gallardo, A. Mikelonis, R. James, and M. Calfee. Evaluation of Sample Processing Methods to Improve Detection of Bacillus anthracis in Difficult Sample Matrices.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 194(10): 789, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526539",
      "keyword": [
        "sampling",
        "Bacillus anthracis",
        "spores",
        "detection",
        "anthrax",
        "analysis"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Data for Tables and Figures_06072022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526539/Manuscript%20Data%20for%20Tables%20and%20Figures_06072022.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-07",
      "references": [
        "https://doi.org/10.1007/s10661-022-10467-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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      },
      "accessRights": "public"
    },
    {
      "title": "Priority Pathogen Fate in Activated Sludge (09/2016 to 05/2019)",
      "description": "The main purpose of this study is to design and perform a series of experiments at the U.S. EPA T&E Facility in Cincinnati, Ohio, to determine the fate and transport of surrogate pathogens in bio-contaminated wastewater treated in an activated sludge pilot-scale treatment plant. \n\nThis dataset is associated with the following publication:\nSchupp, D., A. Burdsall, R. Silva, L. Heckman, R. Krishnan, J. Szabo, and M. Magnuson. Persistence of Surrogates for High Consequence Viral and Bacterial Pathogens in a Pilot-Scale Activated Sludge Treatment System.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(10): e0275482, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519434",
      "keyword": [
        "wastewater",
        "pathogens",
        "activated sludge",
        "wastewater treatment plant",
        "virus",
        "spores"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "AS System Phi-6 Test 2 - Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20Phi-6%20Test%202%20-%20Oct%202022.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AS System Phi-6 Test 1 - Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20Phi-6%20Test%201%20-%20Oct%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AS System MS2 Test 2-Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20MS2%20Test%202-Oct%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AS System MS2 Test 1-Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20MS2%20Test%201-Oct%202022.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AS System BG Test 2-Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20BG%20Test%202-Oct%202022.xlsx",
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        },
        {
          "title": "AS System BG Test 1-Oct 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519434/AS%20System%20BG%20Test%201-Oct%202022.xlsx",
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        }
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      "references": [
        "https://doi.org/10.1371/journal.pone.0275482",
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      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Developing multiple lines of evidence JA Dataset",
      "description": "This data set is thedata of new plant survey and soil/media analysis for journal article currently titled  \"Developing multiple lines of evidence to decrease drainage to surface area ratio for effective stormwater control using bioinfiltration\". \n\nThis dataset is associated with the following publication:\nOconnor, T. Using multiple metrics to show benefit of increasing watershed to surface area ratio for green infrastructure bioinfiltration design.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 9(1): 04022019, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524656",
      "keyword": [
        "plants",
        "Phosphorus and Nitrogen",
        "Nonpoint sources",
        "Green Infrastructure",
        "stormwater",
        "soil moisture"
      ],
      "contactPoint": {
        "fn": "Thomas Oconnor",
        "hasEmail": "mailto:oconnor.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Developing multiple lines of evidence JA Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524656/Developing%20multiple%20lines%20of%20evidence%20JA%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-05",
      "references": [
        "https://doi.org/10.1061/jswbay.0001005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "spmodel data",
      "description": "This data in publicly available environmental data that showcases the spmodel R package.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527968",
      "keyword": [
        "Geostatistical model",
        "Autoregressive model",
        "Spatial Linear Model",
        "Spatial Covariance",
        "prediction",
        "Big Data"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://CRAN.R-project.org/package=spmodel",
          "accessURL": "https://CRAN.R-project.org/package=spmodel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LSFO toxicity and chemistry",
      "description": "This is a dataset of aquatic toxicity and chemistry of three low sulfer fuel oils (LSFOs).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528097",
      "keyword": [
        "hydrocarbon chemistry",
        "toxicity",
        "low sulfer fuel oil",
        "Physical Property"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "Reporting chemistry and toxicity LAB_10.17.2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528097/Reporting%20chemistry%20and%20toxicity%20LAB_10.17.2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measured PFOS Concentrations in U.S. Ambient Surface Waters through 2020",
      "description": "These data were part of a critical review that looks at the occurrence of PFOS in ambient surface waters across the U.S. All data from this paper were obtained from publicly available literature, including peer-review journal articles, theses, and government and industry reports through 2020. These data include measured PFOS concentrations across the U.S., sample site location (i.e., state, waterbody, and GPS coordinates), and dates of sample collection and analysis, and analytical methods used. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522855",
      "keyword": [
        "Perfluoroalkyl Substance (PFAS)",
        "perfluorooctane sulfonate (PFOS)",
        "fate and transport",
        "occurrence",
        "surface waters"
      ],
      "contactPoint": {
        "fn": "Amanda Jarvis",
        "hasEmail": "mailto:jarvis.amanda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/etc.5147",
          "accessURL": "https://setac.onlinelibrary.wiley.com/doi/abs/10.1002/etc.5147",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "PFOS Occurrence in U.S. Surface Waters Manuscript_Revised Supplemental Data_Table S2_16June2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522855/PFOS%20Occurrence%20in%20U.S.%20Surface%20Waters%20Manuscript_Revised%20Supplemental%20Data_Table%20S2_16June2021.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "PFOS Occurrence in U.S. Surface Waters Manuscript_Revised Supplemental Data_Table S1_16June2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522855/PFOS%20Occurrence%20in%20U.S.%20Surface%20Waters%20Manuscript_Revised%20Supplemental%20Data_Table%20S1_16June2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-06-22",
      "references": [
        "https://dx.doi.org/10.1002/etc.5147",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327793"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ionic Fluorogel Targeted and NTA Data",
      "description": "Raw data (peak area and height, retention time) for each for each sample and 21 PFAS analytes. The targeted triplicate samples are MB_11A, MB_11B, and MB_11C at time points 0 min, 30 min, 2 hr, 4 hr, and 24 hr. Raw data (masses and peak areas) for non-targeted analysis of resin extracts. \n\nThis dataset is associated with the following publication:\nManning, I.M., N. Guan Pin Chew, H.P. Macdonald, K. Miller, M. Strynar, O. Coronell, and F.A. Leibfarth. Hydrolytically Stable Ionic Fluorogels for High-Performance Remediation of Per- and Polyfluoroalkyl Substances (PFAS) from Natural Water.   Angewandte Chemie. John Wiley & Sons, Inc., Hoboken, NJ, USA, 61(41): e202208150, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524804",
      "keyword": [
        "ion exchange",
        "Water Purification",
        "Per- and polyfluoroalkyl substances (PFAS)",
        "Polymer"
      ],
      "contactPoint": {
        "fn": "Mark Strynar",
        "hasEmail": "mailto:strynar.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Ionic Fluorogel Targeted and NTA Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524804/Ionic%20Fluorogel%20Targeted%20and%20NTA%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-22",
      "references": [
        "https://doi.org/10.1002/anie.202208150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human Mobility Data for NPS Visitation Estimation",
      "description": "This dataset is used for the analysis in the publication entitled \"Using data derived from cellular device locations to estimate visitation to natural areas: an application to the U.S. National Park system\". It includes cell data purchased from Airsage Inc. at the monthly resolution for years 2018 and 2019 for 38 park units in the U.S. National Park system, corresponding monthly visitation obtained from the NPS Stats (https://irma.nps.gov/STATS/), and park attributes that are considered to affect the relationships between Cell and NPS data in the analysis. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528093",
      "keyword": [
        "cell data",
        "mobile device data",
        "national park",
        "natural areas",
        "visitation"
      ],
      "contactPoint": {
        "fn": "Wei-Lun Tsai",
        "hasEmail": "mailto:tsai.wei-lun@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_CellNPSData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528093/SciHub_CellNPSData.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528093/documents/NPSDataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "MASKFIT dataset",
      "description": "This dataset contains filtration efficiency data for the MASKFIT study. \n\nThis dataset is associated with the following publication:\nChen, H., E. Pennington, M. Case, H. Tong, A. Rappold, J. Samet, and S. Prince. Improvement in Fitted Filtration Efficiency of N95 Respirators with Escalating Instruction of the Wearer.   AJPM Focus. Elsevier B.V., Amsterdam,  NETHERLANDS, 1(1): 1-5, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524658",
      "keyword": [
        "N95 respirator",
        "fitted filtration efficiency",
        "personal protection equipment (PPE)",
        "COVID-19",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Steven Prince",
        "hasEmail": "mailto:prince.steven@epa.gov"
      },
      "distribution": [
        {
          "title": "MASKFIT DATA-ScienceHub-1.27.2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524658/MASKFIT%20DATA-ScienceHub-1.27.2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-27",
      "references": [
        "https://doi.org/10.1016/j.focus.2022.100014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Planet agreement under NASA Commercial Smallsat Data Acquisition EULA",
      "description": "Planet agreement under NASA Commercial Smallsat Data Acquisition EULA\nhttps://cdn.earthdata.nasa.gov/conduit/upload/17170/Planet_Expanded_EULA_06-21.pdf. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Planet agreement under NASA Commercial Smallsat Data Acquisition EULA\r\nhttps://cdn.earthdata.nasa.gov/conduit/upload/17170/Planet_Expanded_EULA_06-21.pdf. Format: Planet agreement under NASA Commercial Smallsat Data Acquisition EULA\r\nhttps://cdn.earthdata.nasa.gov/conduit/upload/17170/Planet_Expanded_EULA_06-21.pdf. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., P. Whitman, R. Conmy, W. Salls, M. Coffer, D. Graybill, and M. Lebrasse. Potential for commercial PlanetScope satellites in oil response monitoring.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 183: 114077, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524689",
      "keyword": [
        "water quality",
        "satellite",
        "Petroleum",
        "oil spill",
        "glint"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2021-12-31",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2022.114077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Ozone, Temperature, and Epidemiologic Inputs for Fann et al. (2022) - The Role of Temperature in Modifying the Risk of Ozone-Attributable Mortality under Future Changes in Climate: A Proof-of-Concept Analysis",
      "description": "Dataset contains all of the input CSV files for the analysis. Ozone and Temperature data for the years examined for both the CESM and CM3 climate projections, and the effect estimates from Jhun et al. (2014) that were used to estimate health impacts. \n\nThis dataset is associated with the following publication:\nFann, N., E. Coffman, M. Jackson, I. Jhun, A. Lamichhane, C. Nolte, H. Roman, and J. Sacks. The Role of Temperature in Modifying the Risk of Ozone-Attributable Mortality under Future Changes in Climate: A Proof-of-Concept Analysis.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(2): 1202-1210, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528111",
      "keyword": [
        "Ozone",
        "air temperature",
        "health impact functions"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "Jhun_2014_Effect Estimates.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528111/Jhun_2014_Effect%20Estimates.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fann et al. (2022) - Input Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528111/Fann%20et%20al.%20%282022%29%20-%20Input%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-10-30",
      "references": [
        "https://doi.org/10.1021/acs.est.1c05975",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359214"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528111/documents/Data%20Dictionary%20Fann%20et%20al.%20%282022%29.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code for Boaggio et al. Beyond particulate matter mass: heightened levels of lead and other pollutants associated with destructive fire events in California",
      "description": "This dataset provides the description and code for the analyses done in Boaggio et al. Beyond particulate matter mass: heightened levels of lead and other pollutants associated with destructive fire events in California. \n\nThis dataset is associated with the following publication:\nBoaggio, K., S. Leduc, R. Rice, P. Duffney, K. Foley, A. Holder, S. McDow, and C. Weaver. Beyond Particulate Matter Mass: Heightened Levels of Lead and Other Pollutants Associated with Destructive Fire Events in California.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56: 14272–14283, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526404",
      "keyword": [
        "wildfire",
        "Wildfire smoke",
        "Metals Production",
        "lead"
      ],
      "contactPoint": {
        "fn": "Stephen Leduc",
        "hasEmail": "mailto:leduc.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Code files for Boaggio et al.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526404/Code%20files%20for%20Boaggio%20et%20al.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Description of data and files for Boaggio et al.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526404/Description%20of%20data%20and%20files%20for%20Boaggio%20et%20al.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-04",
      "references": [
        "https://doi.org/10.1021/acs.est.2c02099"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS and multimorbidity among a random sample of patients from the University of North Carolina Healthcare System",
      "description": "This dataset contains electronic health records used to study associations between PFAS occurrence and multimorbidity in a random sample of UNC Healthcare system patients. The dataset contains the medical record number to uniquely identify each individual as well as information on PFAS occurrence at the zip code level, the zip code of residence for each individual, chronic disease diagnoses, patient demographics, and neighborhood socioeconomic information from the 2010 US Census. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Because this data has PII from electronic health records the data can only be accessed with an approved IRB application. Project analytic code is available at L:/PRIV/EPHD_CRB/Cavin/CARES/Project Analytic Code/Cavin Ward/PFAS Chronic Disease and Multimorbidity. Format: This data is formatted as a R dataframe and associated comma-delimited flat text file. The data has the medical record number to uniquely identify each individual (which also serves as the primary key for the dataset), as well as information on the occurrence of PFAS contamination at the zip code level, socioeconomic data at the census tract level from the 2010 US Census, demographics, and the presence of chronic disease as well as multimorbidity (the presence of two or more chronic diseases). \n\nThis dataset is associated with the following publication:\nWard-Caviness, C., J. Moyer, A. Weaver, R. Devlin, and D. Diazsanchez. Associations between PFAS occurrence and multimorbidity as observed in an electronic health record cohort.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 6(4): p e217, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527801",
      "keyword": [
        "electronic health records",
        "per and polyfluoroalkyl substances (PFAS)",
        "multimorbidity",
        "chronic disease"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-30",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000217",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "UV_dataset",
      "description": "Additional dataset for\nBuse HY, Hall JS, Hunter GL, Goodrich JA. Differences in UV-C LED Inactivation of Legionella pneumophila Serogroups in Drinking Water. Microorganisms. 2022; 10(2):352. https://doi.org/10.3390/microorganisms10020352. \n\nThis dataset is associated with the following publication:\nBuse, H., J. Hall, G. Hunter, and J. Goodrich. Differences in UV-C LED Inactivation of Legionella pneumophila Serogroups in Drinking Water.   Microorganisms. MDPI, Basel,  SWITZERLAND, 10(2): 352, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526394",
      "keyword": [
        "UVC-LED disinfection",
        "Decontamination",
        "drinking water treatment",
        "microbial contaminants"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse_UV_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526394/Buse_UV_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-10",
      "references": [
        "https://doi.org/10.3390/microorganisms10020352",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877565"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Shoemaker_AOF_CIC_Data_Version_12_07_21_AnalyticalMethods",
      "description": "Data set to support journal article published in Analytical Methods that will further the science surrounding the use of AOF-CIC for detection of PFAS as total adsorbable fluorine and support the draft method delivered to OW in September 2021. This manuscript demonstrates that this AOF technique can be a useful PFAS analytical tool in the balancing act between selectivity, sensitivity, and inclusivity. \n\nThis dataset is associated with the following publication:\nJones, J., S. Burket, A. Hanley, and J. Shoemaker. Development of a standardized adsorbable organofluorine screening method for wastewaters with detection by combustion ion chromatography.   Analytical Methods. RSC Publishing, Cambridge,  UK, 14(36): 3501-3511, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528061",
      "keyword": [
        "per-and polyfluoroalkyl substances (PFAS)",
        "Combustion Ion Chromatography",
        "wastewater",
        "Adsorbable organofluorine"
      ],
      "contactPoint": {
        "fn": "Daniel Tettenhorst",
        "hasEmail": "mailto:tettenhorst.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "ShoemakerJody_AOF article_metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528061/ShoemakerJody_AOF%20article_metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-07",
      "references": [
        "https://doi.org/10.1039/d2ay01121b"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Investigation of chloramines, DBPs, and nitrification in chloraminated drinking water distribution systems",
      "description": "The data provided was used to develop the figures presented in the manuscript. \n\nThis dataset is associated with the following publication:\nAbulikemu, G., J. Mistry, D. Wahman, M. Alexander, A. Kennicutt, J. Bollman, and J. Pressman. Investigation of Chloramines, Disinfection Byproducts, and Nitrification in Chloraminated Drinking Water Distribution Systems.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(1): 04022081, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520714",
      "keyword": [
        "RARE",
        "chloramine",
        "disinfectant residual"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "RARE draft_Raw data spreadsheet V2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520714/RARE%20draft_Raw%20data%20spreadsheet%20V2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-19",
      "references": [
        "https://doi.org/10.1061/(asce)ee.1943-7870.0002062"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US-PROPS: Regional Application to Great Smoky Mountains National Park (McDonnell et al. 2022)",
      "description": "This dataset is the data and metadata associated with the application of the US-PROPS model to the Great Smoky Mountains National Park (GSMNP). It is a geodatabase of species and vegetation classes across the GSMNP and describes the distribution of species, critical loads of different vegetation classes, and the changes in the occurrence probabilities for different scenarios explored. Users should start with the \"Dataset_Descriptions.docx\" file, and read McDonnell et al. (2022) for context (https://www.sciencedirect.com/science/article/pii/S2666765722001065). \n\nMcDonnell, T.C., Clark, C.M., Reinds, G.J., Sullivan, T.J. and Knees, B., 2022. Modeled vegetation community trajectories: Effects from climate change, atmospheric nitrogen deposition, and soil acidification recovery. Environmental Advances, p.100271. \n\nThis dataset is associated with the following publication:\nMcDonnell, T., C. Clark, G. Reinds, T. Sullivan, and B. Knees. Modeled vegetation community trajectories: Effects from climate change, atmospheric nitrogen deposition, and soil acidification recovery.   Environmental Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 1-13, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527903",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "climate change",
        "NAAQS",
        "critical loads",
        "biodiversity",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_RegionalPROPS_gdb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527903/Data_RegionalPROPS_gdb.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_RegionalPROPS.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527903/Metadata_RegionalPROPS.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-14",
      "references": [
        "https://doi.org/10.1016/j.envadv.2022.100271"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research",
      "description": "The original contributions presented in the study are included in the article and online through the TAME Toolkit, available at: https://uncsrp.github.io/Data-Analysis-Training-Modules/, with underlying code and datasets available in the parent UNC-SRP GitHub website (https://github.com/UNCSRP). \n\nThis dataset is associated with the following publication:\nRoell, K., L. Koval, R. Boyles, G. Patlewicz, C. Ring, C. Rider, C. Ward-Caviness, D. Reif, I. Jaspers, R. Fry, and J. Rager. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 4: 893924, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527919",
      "keyword": [
        "public health",
        "data science",
        "Exposure Science",
        "Read-across",
        "cheminformatics"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://uncsrp.github.io/Data-Analysis-Training-Modules/",
          "accessURL": "https://uncsrp.github.io/Data-Analysis-Training-Modules/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/UNCSRP",
          "accessURL": "https://github.com/UNCSRP",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-22",
      "references": [
        "https://doi.org/10.3389/ftox.2022.893924",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257219"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America",
      "description": "USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). This dataset is not publicly accessible because: USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). It can be accessed through the following means: USGS-Generated Data that will be uploaded to and available in ScienceBase (https://www.sciencebase.gov/catalog/). Format: USGS-Generated Data that will be uploaded to and available in Science Base (https://www.sciencebase.gov/catalog/). \n\nThis dataset is associated with the following publication:\nTangen, B., S. Bansal, S. Jones, C.S. Dixon, A. Nahlik, E.S. DeKeyser, C.L.M. Hargiss, and D.M. Mushet. Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND,  10:889170, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527963",
      "keyword": [
        "Vegetation Multimetric D",
        "wetlands",
        "restoration",
        "Prairie Pothole"
      ],
      "contactPoint": {
        "fn": "Amanda Nahlik",
        "hasEmail": "mailto:nahlik.amanda@epa.gov"
      },
      "distribution": [],
      "modified": "2022-09-21",
      "references": [
        "https://doi.org/10.3389/fenvs.2022.889170",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533658"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data",
      "description": "- Spreadsheet summaries of identifier availability and correctness in Wikipedia\n- Tabular summaries of identifier availability and correctness in Wikipedia; summary statistics of drugboxes and chemboxes\n- Investigation of John W. Huffman cannabinoid dataset\n- Summary of Wikipedia pages linked to DSSTox records\n- Complete identifier data scraped from Wikipedia Chembox and Drugbox pages. \n\nThis dataset is associated with the following publication:\nSinclair, G., I. Thillainadarajah, B. Meyer, V. Samano, S. Sivasupramaniam, L. Adams, E. Willighagen, A. Richard, M. Walker, and A. Williams. Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 62(20): 4888-4905, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528136",
      "keyword": [
        "curation",
        "Wikipedia",
        "Open Data",
        "Cannabinoids",
        "cheminformatics",
        "chemistry",
        "CompTox Chemical Dashboard"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/MrMSDS/wikipedia-infoboxes",
          "accessURL": "https://github.com/MrMSDS/wikipedia-infoboxes",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ci2c00886_si_003.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528136/ci2c00886_si_003.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ci2c00886_si_002.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528136/ci2c00886_si_002.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ci2c00886_si_001.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528136/ci2c00886_si_001.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ci2c00886_si_005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528136/ci2c00886_si_005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "ci2c00886_si_004.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528136/ci2c00886_si_004.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "modified": "2022-10-10",
      "references": [
        "https://doi.org/10.1021/acs.jcim.2c00886",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597659"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Swedish Lakes Dataset",
      "description": "This dataset consists of water quality and phytoplankton community structure data collected at 85 Swedish Lakes. \n\nThis dataset is associated with the following publication:\nEason, T., A. Garmestani, and D. Angeler. Spatiotemporal variability in Swedish lake ecosystems.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(3): e0265571, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523135",
      "keyword": [
        "water quality",
        "phytoplankton",
        "sweden"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "https://miljodata.slu.se/mvm/",
          "accessURL": "https://miljodata.slu.se/mvm/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-09-14",
      "references": [
        "https://doi.org/10.1371/journal.pone.0265571",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8936495"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Sorption and migration of organophosphate flame retardants between sources and settled dust",
      "description": "The dataset contains OPFR sorption and migration concentrations on settled dust. It was generated by EPA and published in peer reviewed journal. \n\nThis dataset is associated with the following publication:\nLiu, X. Investigation on the direct transfer of SVOCs from source to settled dust: analytical model and key parameter determination.   ACS Agricultural Science & Technology. American Chemical Society, Washington, DC, USA, 56(9): 5489-5496, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524255",
      "keyword": [
        "OPFRs",
        "indoor dust",
        "source-dust mass transfer",
        "dust-air partition",
        "small chamber",
        "Dust/source partition"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.chemosphere.2021.130415",
          "accessURL": "https://doi.org/10.1016/j.chemosphere.2021.130415",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-01",
      "references": [
        "https://doi.org/10.1021/acs.est.1c08257",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229406",
        "https://pasteur.epa.gov/uploads/10.23719/1524255/documents/OPFR-Dust-Chemosphere-2021.pdf",
        "https://doi.org/10.1016/j.chemosphere.2021.130415"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016",
      "description": "We used data from EPA's AQS database and from the Ozone NAAQS review documentation. \n\nThis dataset is associated with the following publication:\nKoplitz, S., H. Simon, B. Henderson, J. Liljegren, G. Tonnesen, A. Whitehill, and B. Wells. Changes in ozone chemical sensitivity in the U.S. from 2007 to 2016.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 2(3): 206-222, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523047",
      "keyword": [
        "air quality",
        "Ozone",
        "NAAQS",
        "chemical sensitivity"
      ],
      "contactPoint": {
        "fn": "Andrew Whitehill",
        "hasEmail": "mailto:whitehill.andrew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/aqs",
          "accessURL": "https://www.epa.gov/aqs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/naaqs/ozone-o3-air-quality-standards",
          "accessURL": "https://www.epa.gov/naaqs/ozone-o3-air-quality-standards",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-25",
      "references": [
        "https://doi.org/10.1021/acsenvironau.1c00029",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable chemical substances from medical devices",
      "description": "Dataset for \"Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable chemical substances from medical devices\". \n\nThis dataset is associated with the following publication:\nPatlewicz, G., M. Nelms, and D. Rua. Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable substances from medical devices.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 24: 100246, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528141",
      "keyword": [
        "TTC",
        "Kroes workflow",
        "Toxtree",
        "Medical Devices"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/files/6333032ae4b04f6bb135ce8a?dataset=61147fefe4b0856fdc65639b&space=6112f2bee4b01a90a3fa7689&folder=63330317e4b04f6bb135ce87",
          "accessURL": "https://clowder.edap-cluster.com/files/6333032ae4b04f6bb135ce8a?dataset=61147fefe4b0856fdc65639b&space=6112f2bee4b01a90a3fa7689&folder=63330317e4b04f6bb135ce87",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-19",
      "references": [
        "https://doi.org/10.1016/j.comtox.2022.100246"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs",
      "description": "In this study, we developed a methodology for evaluating holistic sustainability of alternative riparian buffer zone (RBZ) designs or decision management objectives. We demonstrated the methodology separately in three 12-digit Hydrologic Unit Code watersheds in the southeastern USA. We adapted the RBZ - hydrologic and water quality system assessment data of dissolved oxygen, total phosphorus, total nitrogen, total suspended solids - sediment, and biochemical oxygen demand, recently published by U.S. EPA, as environmental indicators. We calculated 20-year net present value costs as economic indicators using the costs data published by the Natural Resources Conservation Service. The holistic sustainability assessments using data envelopment analysis revealed urban RBZ to be the most sustainable (with holistic sustainability score of 1.00) across all watersheds. \n\nThis dataset is associated with the following publication:\nGhimire, S., A. Nayak, J. Corona, R. Parmar, R. Srinivasan, K. Mendoza, and J. Johnston. Holistic Sustainability Assessment of Riparian Buffer Designs: Evaluation of Alternative Buffer Policy Scenarios Integrating Stream Water Quality and Costs.   Sustainability. MDPI, Basel,  SWITZERLAND, 14(19): 12278, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528144",
      "keyword": [
        "Riparian buffer zone",
        "data envelopment analysis",
        "sustainability",
        "net present value cost",
        "Watershed"
      ],
      "contactPoint": {
        "fn": "Rajbir Parmar",
        "hasEmail": "mailto:parmar.rajbir@epa.gov"
      },
      "distribution": [
        {
          "title": "RBZSustainabilityDataforScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528144/RBZSustainabilityDataforScienceHub.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-31",
      "references": [
        "https://doi.org/10.3390/su141912278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seasonal analysis data",
      "description": "This data set contains seasonal number for fecal coliform, E. coli, and enterococci. \n\nThis dataset is associated with the following publication:\nSelvakumar, A., and T. Oconnor. Seasonal Variation in Indicator Organisms Infiltrating from Permeable Pavement Parking Lots at the Edison Environmental Center, New Jersey.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 94(9): e10791, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528143",
      "keyword": [
        "permeable pavement",
        "indicator organisms",
        "Seasonal Effects",
        "infiltrate",
        "stormwater runoff",
        "recreational water quality criteria"
      ],
      "contactPoint": {
        "fn": "Ariamalar Selvakumar",
        "hasEmail": "mailto:selvakumar.ariamalar@epa.gov"
      },
      "distribution": [
        {
          "title": "Data-Seasonal paper-ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528143/Data-Seasonal%20paper-ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-31",
      "references": [
        "https://doi.org/10.1002/wer.10791",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620484"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Development of Volatility Distribution for Organic Matter in Biomass Burning Emissions",
      "description": "This dataset includes volatility information derived from various biomass burning samples. Emission factors, volatility distributions, mass fractions, and response factors are reported. A data dictionary is provided to define each variable in the dataset. \n\nThis dataset is associated with the following publication:\nSinha, A., I. George, A. Holder, W. Preston, M. Hays, and A. Grieshop. Development of Volatility Distribution for Organic Matter in Biomass Burning Emissions.   Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge,  UK,  0000, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527703",
      "keyword": [
        "Wildland Fire",
        "Woodstoves",
        "emissions",
        "Volatility distribution"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Biomass Burning VBS Data Tables and Dictionary V1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527703/Biomass%20Burning%20VBS%20Data%20Tables%20and%20Dictionary%20V1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-30",
      "references": [
        "https://doi.org/10.1039/d2ea00080f"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Complete Data for MS2 UVC Manuscript",
      "description": "The COVID-19 pandemic has raised interest in using devices that emit ultraviolet-C (UVC) radiation as an alternative approach to disinfecting surfaces, and an increasing number UVC devices are being marketed. Research to determine how effective these different UVC sources are against microorganisms and viruses is often conducted using different methods and laboratory conditions, which can make it difficult to compare results between studies and understand how effective UVC devices will be in real-world settings. In this research, we compare how some of these different experimental factors affect the efficacy of UVC light for disinfecting surfaces. We propose that microscopic differences between even smooth materials can potentially shield microorganisms and viruses from UVC light, making the surface an important factor in determining how effective the light can be, and that the UVC dose reported to achieve a 90% reduction cannot always be linearly extrapolated to predict the 99.9% reduction dose. Data included in this dataset are provided in support of this manuscript. \n\nThis dataset is associated with the following publication:\nRatliff, K., L. Oudejans, M. Calfee, A. Abdel-Hady, M. Monge, and L. Aslett. Evaluating the impact of ultraviolet C exposure conditions on coliphage MS2 inactivation on surfaces.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 75(4): 933-941, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522675",
      "keyword": [
        "UVC",
        "MS2",
        "disinfection",
        "Indoor outdoor decontamination"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "MS2 UVC Manuscript_Complete Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522675/MS2%20UVC%20Manuscript_Complete%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-28",
      "references": [
        "https://doi.org/10.1111/lam.13770"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wipe sampling effects on method performance for pesticide misuse chemicals on urban materials",
      "description": "Wipe sampling variables were evaluated to determine their effects on recovery results for commonly misused pesticides on surfaces. \n\nThis dataset is associated with the following publication:\nWillison, S., D. Stout, A. Mysz, J. Starr, D. Tabor, B. Wyrzykowska, J. Nardin, E. Morris, and E. Snyder. Evaluating Wipe Sampling Parameters to Assess Method Performance and Data Confidence during Remediation of Hazardous Pesticide Misuse Chemicals on Indoor Materials.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 856(1): 159053, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523147",
      "keyword": [
        "pesticides",
        "surface wipes"
      ],
      "contactPoint": {
        "fn": "Stuart Willison",
        "hasEmail": "mailto:willison.stuart@epa.gov"
      },
      "distribution": [
        {
          "title": "Master Data-Pesticide-v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523147/Master%20Data-Pesticide-v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.159053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DWH cast dataset",
      "description": "This dataset was generated from mined, secondary data collected during the Deepwater Horizon oil spill subsea dispersed oil monitoring. Teh secondary is publicly available from:\n\nBP Gulf Science Data (2019) Chemistry data associated with water column samples collected in the Gulf of Mexico from May 2010 through July 2012. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University-Corpus Christi. doi:10.7266/N747489X. \n\nThis dataset is associated with the following publication:\nConmy, R., A. Hall, D. Sundaravadivelu, B. Schaeffer, and A. Murray. Fluorescence-estimated oil concentration (Foil) in the Deepwater Horizon subsea oil plume.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 180: 113808, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523034",
      "keyword": [
        "Deepwater Horizon",
        "fluorescence",
        "Dispersant",
        "oil spills"
      ],
      "contactPoint": {
        "fn": "Robyn Conmy",
        "hasEmail": "mailto:conmy.robyn@epa.gov"
      },
      "distribution": [
        {
          "title": "DWH cast dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523034/DWH%20cast%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-31",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2022.113808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full Scale Viral Laundering Dataset",
      "description": "This dataset contains disinfection efficacy of  scrubs, face coverings, and denim contaminated by Phi6 and MS2 and cleaned using hot water laundering. \n\nThis dataset is associated with the following publication:\nMikelonis, A., J. Archer, B. Wyrzykowska, E. Morris, J. Sawyer, T. Chamberlain, A. Abdel-Hady, M. Monge, and A. Touati. Determining Viral Disinfection Efficacy of Hot Water Laundering.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA, 184: e64164, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528192",
      "keyword": [
        "disinfection",
        "PPE",
        "virus",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "FullScaleLaunderingDataSet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528192/FullScaleLaunderingDataSet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-09",
      "references": [
        "https://doi.org/10.3791/64164"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2016_Harsha_EPA_Dataset",
      "description": "(1) qPCR and RT-qPCR for cyanotoxin producing genes, and (2) some water quality parameters. \n\nThis dataset is associated with the following publication:\nDuan, X., C. Zhang, I. Struewing, X. Li, H. Allen, and J. Lu. Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 830: 154568, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524256",
      "keyword": [
        "cyanobacteria",
        "Microcystis",
        "microcystins",
        "qPCR/RT-qPCR",
        "Early warning system",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "2016_Harsha_EPA_Datasheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524256/2016_Harsha_EPA_Datasheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-31",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.154568"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PBPK Model Template Extension to VOCs",
      "description": "The data set includes source code that implements a PBPK model template that has been extended with features capable of implementing models for volatile organic compounds (VOCs).  It also includes data from the U.S. EPA IRIS assessments for DCM (2011) and methanol (2013) and data from Sasso et al. (2013), Ramsey and Andersen (1984), and Yoon et al. (2007) used to show the ability of the template to replicate published VOC PBPK models. The extension of the model template is described in a paper that will be submitted to the journal Toxicological Sciences.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      ],
      "identifier": "https://doi.org/10.23719/1527967",
      "keyword": [
        "dosimetry",
        "extrapolation",
        "pbpk",
        "quality assurance",
        "model template"
      ],
      "contactPoint": {
        "fn": "Paul Schlosser",
        "hasEmail": "mailto:schlosser.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "PBPK_Model_Template_VOC_Extension_Instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527967/PBPK_Model_Template_VOC_Extension_Instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PBPK_Model_Template_VOC_Extension_Code_revised.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527967/PBPK_Model_Template_VOC_Extension_Code_revised.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ERI and DPT-EC datasets",
      "description": "ERI dataset is location data (xyz) and resistivity data in excel format.  DPT-EC dataset is depth, resistivity, and rate of penetration in excel format. \n\nThis dataset is associated with the following publication:\nFields, J., T. Tandy, T. Halihan, R. Ross, D. Beak, R. Neill, and J. Groves. Electrical Resistivity Imaging of an Enhanced Aquifer Recharge Site.   Journal of Geophysics and Engineering. Oxford University Press, OXFORD,  UK, 19(5): 1095-1110, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528110",
      "keyword": [
        "Groundwater Flow",
        "Enhanced Aquifer Recharge",
        "climate change",
        "vadose zone",
        "Karst",
        "electrical resistivity imaging"
      ],
      "contactPoint": {
        "fn": "Jon Fields",
        "hasEmail": "mailto:fields.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "ReadMe.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528110/ReadMe.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EAR_ERI datasets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528110/EAR_ERI%20datasets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EAR_DPT-EC datasets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528110/EAR_DPT-EC%20datasets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Definitions.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528110/Definitions.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-30",
      "references": [
        "https://doi.org/10.1093/jge/gxac073"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for  Ammonium adduct chemical ionization to investigate anthropogenic oxygenated gas-phase organic compounds in urban air",
      "description": "Data includes the VCPy code repository and 3 data files:\nny_benzene.csv: New York County emissions of benzene from the 2017 NEI (units of lb)\nny_co.csv: New York County emissions of carbon monoxide (CO) from the 2017 NEI (units of short tons)\nny_vcpy_2019.csv: VCPy v2.0 emissions for New York County for 2019 (units of kg/yr)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526513",
      "keyword": [
        "volatile chemical products (VCPs)",
        "secondary organic aerosol (SOA)",
        "ozone (O3)",
        "Criteria Pollutant",
        "volatile organic compounds (vocs)"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/VCPy",
          "accessURL": "https://github.com/USEPA/VCPy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526513/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ny_vcpy_2019.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526513/ny_vcpy_2019.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ny_co.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526513/ny_co.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ny_benzene.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526513/ny_benzene.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Migration energetics simulation",
      "description": "Respository contains model code and output for simulation modeling of salmon migration bio-energetics. \n\nThis dataset is associated with the following publication:\nSnyder, M.N., N.H. Schumaker, J.B. Dunham, J.L. Ebersole, M.L. Keefer, J. Halama, R. Comeleo, P. Leinenbach, A. Brookes, B. Cope, J. Wu, and J. Palmer. Tough places and safe spaces: can refuges save salmon from a warming climate?..   Ecosphere. ESA Journals,    13(11): e4265, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518523",
      "keyword": [
        "cold water refuge",
        "Salmon",
        "trout",
        "migration"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/snydermn/migration_corridor_simulation_model",
          "accessURL": "https://github.com/snydermn/migration_corridor_simulation_model",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-02",
      "references": [
        "https://doi.org/10.1002/ecs2.4265"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "XCMS output from GC/MS-based profiling of amphibian livers exposed to pesticide, predation or both",
      "description": "Retention time and abundances from GC/MS analysis of amphibian livers exposed to pesticide, predation or combined stresses. \n\nThis dataset is associated with the following publication:\nHenderson, M., M.N. Snyder, D. Glinski, and T. Purucker. Differentiating metabolomic responses of amphibians to multiple stressors.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 838(3): 155666, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520602",
      "keyword": [
        "metabolomics",
        "amphibians",
        "pesticide exposure",
        "predation stress",
        "environmental stressors",
        "pesticides",
        "multiple stressors"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "HendersonWilliamM_A-mcw5_dataset_201211_multistressor.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520602/HendersonWilliamM_A-mcw5_dataset_201211_multistressor.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.155666"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520602/documents/HendersonWilliamM_A-mcw5_Data%20Dictionary_201211_multistressor.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data compilation  Carbon Limitation",
      "description": "Data used to generate statistical analysis in the manuscript \"Carbon limitation in response to nutrient loading in an eelgrass mesocosm: influence of water residence time on eutrophication expression\" by Kaldy, Brown and Pacella. \n\nThis dataset is associated with the following publication:\nKaldy, J., C. Brown, and S. Pacella. Carbon limitation in response to nutrient loading in an eelgrass mesocosm: influence of water residence time..   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 689: 1-17, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524629",
      "keyword": [
        "eutrophication",
        "carbon limitation",
        "basification",
        "seagrass",
        "Nutrient loading"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Data compiliation_STATS_Kaldy et al. Carbon limit_rev.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524629/Data%20compiliation_STATS_Kaldy%20et%20al.%20Carbon%20limit_rev.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data compilation_Figures_Kaldy et al. Carbon limitaiton_rev .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524629/Data%20compilation_Figures_Kaldy%20et%20al.%20Carbon%20limitaiton_rev%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-13",
      "references": [
        "https://doi.org/10.3354/meps14061",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9347230"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub_CoV_012422",
      "description": "Data describes percent losses of SARS-CoV-2 from wastewater.  Also details recovery of endogenous SARS-CoV-2 from wastewater using two volumetrically different methods. \n\nThis dataset is associated with the following publication:\nMcMinn, B., A. Korajkic, A. Pemberton, J. Kelleher, W. Ahmed, and E. Villegas. Assessment of two volumetrically different concentration approaches to improve sensitivities for SARS-CoV-2 detection during wastewater monitoring.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 311: 114645, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524687",
      "keyword": [
        "SARS-CoV-2",
        "wastewater",
        "infectious",
        "rt-qpcr",
        "hollow fiber ultra-filter"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_CoV_012422.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524687/SciHub_CoV_012422.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-02",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2022.114645",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9624105"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Carlisle et al. A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States",
      "description": "R code and data files used to identify diatom metrics that are robust to taxonomic inconsistency. The R code run a goodness of fit analysis to determine how much variation is explained by analyst in a diatom dataset that has been harmonized for taxonomic consistency compared to the original raw dataset. \n\nThis dataset is associated with the following publication:\nCarlisle, D., S. Spaulding, M. Tyree, N. Schulte, S. Lee, R. Mitchell, and A. Pollard. A web-based tool for assessing the condition of benthic diatom assemblages in streams and rivers of the conterminous United States manuscript.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 135: 1-13, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528127",
      "keyword": [
        "diatoms",
        "multi-metric index",
        "streams",
        "rivers",
        "biological condition"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/61d71ea5d34ed79294004fda",
          "accessURL": "https://www.sciencebase.gov/catalog/item/61d71ea5d34ed79294004fda",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Carlisle et al. analyst goodness of fit 20221025.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528127/Carlisle%20et%20al.%20analyst%20goodness%20of%20fit%2020221025.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-25",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2021.108513",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533916"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528127/documents/Carlisle%20et%20al.%202022%20web-based%20tool%20benthic%20diatom%20MMI%20data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Lake property datasets based on medium-resolution NHD for calculating lake recovery times.",
      "description": "Two csv files containing lake property information intended for the purpose of lake recovery time estimation as described in the associated manuscript. One file contains flow information based on NHD, and one based on SPARROW model results.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523355",
      "keyword": [
        "water quality",
        "lake eutrophication",
        "legacy nutrients",
        "phosphorus sediment feedback"
      ],
      "contactPoint": {
        "fn": "James Carleton",
        "hasEmail": "mailto:carleton.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "LakesCONUS_SPARROWflow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523355/LakesCONUS_SPARROWflow.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakesCONUS_NHDflow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523355/LakesCONUS_NHDflow.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523355/documents/metadata%20for%20LakesCONUS%20data%20files.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "The contribution of the neuroendocrine system to adaption after repeated daily ozone exposure in rats",
      "description": "we hypothesized that ozone-adaptation is linked to diminution of neuroendocrine stress-axes activation and glucocorticoid levels. Male Wistar-Kyoto-rats (12-week-old) were injected with vehicle or a therapeutically-relevant dexamethasone dose (0.01-mg/kg/day; intraperitoneal) for 1-month to determine if suppression of glucocorticoid signaling was linked to adaptation. Vehicle- and dexamethasone-treated rats were exposed to air or 0.8-ppm ozone, 4 hours/dayx2 or 4 days to assess the impacts of acute exposure and adaptation, respectively. \n\nThis dataset is associated with the following publication:\nHeinriquez, A., S. Snow, J. Dye, M.C. Schladweiler, D. Alewel, C. Miller, and U. Kodavanti. The contribution of the neuroendocrine system to adaption after repeated daily ozone exposure in rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 447(116085): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528281",
      "keyword": [
        "adaptation",
        "Ozone",
        "Stress hormones",
        "Nitrogen and Co-pollutants",
        "neuroendocrine"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Version To Urmila 06 06 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528281/Science%20Hub%20Version%20To%20Urmila%2006%2006%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-15",
      "references": [
        "https://doi.org/10.1016/j.taap.2022.116085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "N-recyle-dataset",
      "description": "The data contained in the worksheet provides the quantity data of Cyanobacterial 16S sequences, qPCR and water quality parameters. \n\nThis dataset is associated with the following publication:\nLi, H., T. Miller, J. Lu, and R. Goel. Nitrogen fixation contribution to nitrogen cycling during cyanobacterial blooms in Utah Lake.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 302: 134784, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523162",
      "keyword": [
        "cyanobacteria",
        "Ammonium nitrogen",
        "nutrient reduction",
        "Utah"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "N-recyle-dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523162/N-recyle-dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-09-27",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2022.134784"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2022 - Efficacy data for non-spore-forming biological agents in soil ",
      "description": "Lab-scale testing was used to generate efficacy data, for three non-spore-forming biologicals (VEE, YP, BP), in three different soil types, and three different decontaminants. \n\nThis dataset is associated with the following publication:\nRichter, W., M. Sunderman, M.L. Fulton, Z. Willenberg, S. Serre, L. Oudejans, J. Wood, and M. Calfee. Decontamination Efficacy of Common Liquid Disinfectants Against Non-Spore-Forming Biological Agents in Soil Matrices.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 133(6): 3659-3668, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526327",
      "keyword": [
        "Biological Agent Decontamination",
        "Indoor outdoor decontamination",
        "burkholderia pseudomallei",
        "Yersinia pestis",
        "soil decontamination"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for HS19-02.03-2157_soil decon.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526327/Dataset%20for%20HS19-02.03-2157_soil%20decon.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-01",
      "references": [
        "https://doi.org/10.1111/jam.15802"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sarajevo PM2.5 Data from Collocated FEM Monitors",
      "description": "The datasets related to the figures in the journal article and are derived from the two collocated Federal Equivalent Method (FEM) monitors that operated side-by-side in Sarajevo, Bosnia and Herzegovina for a 15-month timeframe. \n\nThis dataset is associated with the following publication:\nHagler, G., T. Hanley, B. Hassett-Sipple, R. Vanderpool, M. Smith, J. Wilbur, T. Wilbur, T. Oliver, D. Shand, V. Vidacek, C. Johnson, R. Allen, and C. D'Angelo. Evaluation of two collocated federal equivalent method PM2.5 instruments over a wide range of concentrations in Sarajevo, Bosnia and Herzegovina.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 13(4): 101374, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522400",
      "keyword": [
        "pm2.5",
        "Fine Particulate Matter",
        "air quality",
        "Bosnia",
        "Sarajevo"
      ],
      "contactPoint": {
        "fn": "Gayle Hagler",
        "hasEmail": "mailto:hagler.gayle@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig10-T640adj-comparison.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig10-T640adj-comparison.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig9-lr-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig9-lr-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig8-boxplot-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig8-boxplot-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig7-boxplot-data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig7-boxplot-data.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig6-boxplot-data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig6-boxplot-data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig5-daily-below50.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig5-daily-below50.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4-hourly.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig4-hourly.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4-daily.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522400/Fig4-daily.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-06",
      "references": [
        "https://doi.org/10.1016/j.apr.2022.101374"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating the Mouse Model for Estimation of Arsenic Bioavailability: Comparison of Estimates of Absolute Bioavailability of Inorganic Arsenic in Mouse, Humans, and Other Species ",
      "description": "Mouse assays. \n\nThis dataset is associated with the following publication:\nDiamond, G., K. Bradham, and D. Thomas. Evaluating the Mouse Model for Estimation of Arsenic Bioavailability: Comparison of Estimates of Absolute Bioavailability of Inorganic Arsenic in Mouse, Humans, and Other Species.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 85(19): 815-825, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526419",
      "keyword": [
        "human",
        "pharmacokinetics",
        "bioavailability",
        "arsenic",
        "mouse"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [
        {
          "title": "As ABA in vivo mouse data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526419/As%20ABA%20in%20vivo%20mouse%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1080/15287394.2022.2095314",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9431397"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Data for The pathway of aerosol direct effects impact on secondary inorganic aerosol formation",
      "description": "Our results show that ADEs through the photolysis pathway inhibit sulfate formation during winter in the JJJ region and promote sulfate formation in July. The differences are attributed to the alteration of effective actinic flux affected by single-scattering albedo (SSA). ADEs through the dynamics pathway act as an equally or even more important route compared with the photolysis pathway in affecting secondary aerosol concentration in both summer and winter. ADEs through dynamics traps formed sulfate within the planetary boundary layer (PBL) which increases sulfate concentration in winter. Meanwhile, the impact of ADEs through dynamics is mainly reflected in the increase of gaseous-precursor concentrations within the PBL which enhances secondary aerosol formation in summer. For nitrate, reduced upward transport of precursors restrains the formation at high altitude and eventually lowers the nitrate concentration within the PBL in winter, while such weakened vertical transport of precursors increases nitrate concentration within the PBL in summer, since nitrate is mainly formed near the surface ground. \n\nThis dataset is associated with the following publication:\nWang, J., J. Xing, S. Wang, R. Mathur, J. Wang, Y. Zhang, C. Liu, J. Pleim, D. Ding, X. Chang, J. Jiang, P. Zhao, S. Kumar Sahu, Y. Jin, C. Wong, and J. Hao. The pathway of impacts of aerosol direct effects on secondary inorganic aerosol formation.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 22(8): 5147–5156, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524663",
      "keyword": [
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Jonathan Pleim",
        "hasEmail": "mailto:pleim.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "https://acp.copernicus.org/articles/22/5147/2022/acp-22-5147-2022-supplement.pdf",
          "accessURL": "https://acp.copernicus.org/articles/22/5147/2022/acp-22-5147-2022-supplement.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-07-01",
      "references": [
        "https://doi.org/10.5194/acp-22-5147-2022",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413026"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NYC STEW-MAP Staten Island organizations' website hyperlink webscrape",
      "description": "The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017). There are two data sets: 1) the original scrape containing all hyperlinks within the websites and associated attribute values (see \"README\" file); 2) a cleaned and reduced dataset formatted for network analysis. \n\nFor dataset 1: Organizations were selected from from the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017), a publicly available, spatial data set about environmental stewardship organizations working in New York City, USA (N = 719). To create a smaller and more manageable sample to analyze,  all organizations that intersected (i.e., worked entirely within or overlapped) the NYC borough of Staten Island were selected for a geographically bounded sample. Only organizations with working websites and that the web scraper could access were retained for the study (n = 78). The websites were scraped between 09 and 17 June 2020 to a maximum search depth of ten using the snaWeb package (version 1.0.1, Stockton 2020) in the R computational language environment (R Core Team 2020).\n\nFor dataset 2: The complete scrape results were cleaned, reduced, and formatted as a standard edge-array (node1, node2, edge attribute) for network analysis. See \"READ ME\" file for further details. \n\nReferences:\nR Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Version 4.0.3.\n\nStockton, T. (2020). snaWeb Package: An R package for finding and building social networks for a website, version 1.0.1.\n\nUSDA Forest Service. (2017). Stewardship Mapping and Assessment Project (STEW-MAP). New York City Data Set. Available online at https://www.nrs.fs.fed.us/STEW-MAP/data/. \n\nThis dataset is associated with the following publication:\nSayles, J., R. Furey, and M. Ten Brink. How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations.   Applied Network Science. Springer Nature, New York, NY,  7: 36, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522542",
      "keyword": [
        "Social network analysis",
        "SNA",
        "hyperlink networks",
        "web-scraping",
        "environmental governance",
        "decision support tools",
        "environmental stewardship"
      ],
      "contactPoint": {
        "fn": "Jesse Sayles",
        "hasEmail": "mailto:sayles.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "NYC Staten Island STEW-MAP hyperlink webscrape_README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW-MAP%20hyperlink%20webscrape_README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "NYC Staten Island STEW_MAP hyperlink webscrape_all.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape_all.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "NYC Staten Island STEW_MAP hyperlnk webscrape reduced network dataset_Metadata.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlnk%20webscrape%20reduced%20network%20dataset_Metadata.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "NYC Staten Island STEW_MAP hyperlink webscrape reduced network dataset_revised.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape%20reduced%20network%20dataset_revised.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-05-26",
      "references": [
        "https://doi.org/10.1007/s41109-022-00472-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measuring and Modeling Diel Oxygen Dynamics in a Shallow Hypereutrophic Estuary: Implications of Low Oxygen Exposure on Aquatic Life",
      "description": "This dataset provides model output and post-processed analysis of model data used in the  manuscript: \"Measuring and Modeling Diel Oxygen Dynamics in a Shallow Hypereutrophic Estuary: Implications of Low Oxygen Exposure on Aquatic Life.\" Post-processed data are available for each figure or categorical analysis as described in the filename. All relevant metadata and descriptive headers are provided within each data file. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527761",
      "keyword": [
        "Hypoxia",
        "modeling",
        "Nitrogen and Co-pollutants",
        "diel-cycling"
      ],
      "contactPoint": {
        "fn": "Brandon Jarvis",
        "hasEmail": "mailto:jarvis.brandon@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig_9_DOexposure.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_9_DOexposure.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_8_CumulativeDOexposure.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_8_CumulativeDOexposure.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_7_CDF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_7_CDF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_6_Colormap.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_6_Colormap.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_2through5_Table1_timeseries_boxplots.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_2through5_Table1_timeseries_boxplots.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig_1_Shapefiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/Fig_1_Shapefiles.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527761/DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biological mapping and speciation analysis examines origin and fate of lead species in soil before and after remediation to promote plumbojarosite formation ",
      "description": "X-ray absorption spectroscopy raw data files. \n\nThis dataset is associated with the following publication:\nSowers, T., M. Blackmon, S. Bone, A. Kirby, M. Jerden, M. Noerpel, K. Scheckel, and K. Bradham. Successful Conversion of Pb-Contaminated Soils to Low-Bioaccessibility Plumbojarosite Using Potassium-Jarosite at Ambient Temperature.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(22): 15718-15727, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526064",
      "keyword": [
        "Speciation",
        "remediation",
        "soil",
        "lead",
        "XAS/XRF mapping",
        "plumbojarosite",
        "XAS",
        "spectra"
      ],
      "contactPoint": {
        "fn": "Tyler Sowers",
        "hasEmail": "mailto:sowers.tyler@epa.gov"
      },
      "distribution": [
        {
          "title": "2022_2021_Figures and Tables_Kjarosite_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526064/2022_2021_Figures%20and%20Tables_Kjarosite_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-04",
      "references": [
        "https://doi.org/10.1021/acs.est.2c05606"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA 2013-2014 ARG Dataset",
      "description": "ARG, intI1, fecal indicator bacteria PCR data. \n\nThis dataset is associated with the following publication:\nKeely, S., N. Brinkman, E. Wheaton, M. Jahne, S. Siefring, M. Varma, R. Hill, S. Leibowitz, R. Martin, J. Garland, and R. Haugland. Geospatial Patterns of Antimicrobial Resistance Genes in the US EPA National Rivers and Streams Assessment Survey.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(21): 14960–14971, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526416",
      "keyword": [
        "rivers",
        "streams",
        "NRSA",
        "antimicrobial resistance"
      ],
      "contactPoint": {
        "fn": "Scott Keely",
        "hasEmail": "mailto:keely.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "ARG_NRSA_stics_scott_keely.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526416/ARG_NRSA_stics_scott_keely.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-17",
      "references": [
        "https://doi.org/10.1021/acs.est.2c00813",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632466"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for glucose suppresses harmful Cyanobacteria blooms  ",
      "description": "Data includes quantification of microcystin by ELISA and quantification of gene copy number for Microcystis aeruginosa.  In addition the genomic sequences associated with glucose addition to lake water are shown. This dataset is not publicly accessible because: public link too long. It can be accessed through the following means: https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fsra%2FPRJNA786865&amp;data=04%7C01%7CLinz.David%40epa.gov%7Cf41cc9e7fe7449eb4b1308d9bbc99a0f%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C637747296829394696%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&amp;sdata=F%2FUVwqnPj4pzWRiccZKHXh2jcxZ9bWxx1MD1Ux%2B1TBM%3D&amp;reserved=0. Format: https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ncbi.nlm.nih.gov%2Fsra%2FPRJNA786865&amp;data=04%7C01%7CLinz.David%40epa.gov%7Cf41cc9e7fe7449eb4b1308d9bbc99a0f%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C637747296829394696%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&amp;sdata=F%2FUVwqnPj4pzWRiccZKHXh2jcxZ9bWxx1MD1Ux%2B1TBM%3D&amp;reserved=0. \n\nThis dataset is associated with the following publication:\nVesper, S., N. Sienkiewicz, I. Struewing, D. Linz, and J. Lu. Prophylactic Addition of Glucose Suppresses Cyanobacterial Abundance in Lake Water.   Life. MDPI AG, Basel,  SWITZERLAND, 12(3): 385, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524690",
      "keyword": [
        "genomic",
        "Proteobacteria",
        "microcystin",
        "cyanobacteria",
        "microcystis aeruginosa",
        "glucose",
        "prophylactic"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [],
      "modified": "2021-12-31",
      "references": [
        "https://doi.org/10.3390/life12030385",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949225"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Efficacy data for inactivation of Bacillus anthracis (anthrax) spores in soil using formaldehyde solutions",
      "description": "These are the efficacy data for each test conducted in study.  Data are presented for Bacillus atrophaeus and B. anthracis in colony forming units, for positive controls and for CFU recovered after decontamination. Log reduction calculations are also included, as well as data on temperature and relative humidity. \n\nThis dataset is associated with the following publication:\nRichter, W., M. Sunderman, Z. Willenberg, M. Calfee, S. Serre, and J. Wood. Effectiveness of Formaldehyde in Various Soil Types as a Wide Area Decontamination Approach for Bacillus anthracis Spores.   PLOS ONE. Public Library of Science, San Francisco, CA, USA,  e0277941, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527699",
      "keyword": [
        "anthrax",
        "homeland security",
        "Decontamination",
        "Formaldehyde",
        "soil"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Formaldehyde Test 1 Results 8.16.21 jjh.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Formaldehyde%20Test%201%20Results%208.16.21%20jjh.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Test 2 Results Sheet_WRR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Copy%20of%20Test%202%20Results%20Sheet_WRR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Results Sheet Test 3 WRR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Results%20Sheet%20Test%203%20WRR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Test 4 Results Sheet WRR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Copy%20of%20Test%204%20Results%20Sheet%20WRR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Test 5 Results Sheet CAC_WRR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Copy%20of%20Test%205%20Results%20Sheet%20CAC_WRR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of Test 6 Final Results_WRR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/Copy%20of%20Test%206%20Final%20Results_WRR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "results summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/results%20summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-30",
      "references": [
        "https://doi.org/10.1371/journal.pone.0277941",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674150"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527699/documents/data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Reported PFAS transformation products and rates",
      "description": "Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are used in many consumer applications due to their stain repellency, ability to form water-proof coatings and use in fire suppression.  The production, application, transport and disposal of PFAS and PFAS treated products has resulted in their wide-spread occurrence in environmental and biological systems.  Concern over exposure to PFAS has necessitated the development of tools to predict the transformation of PFAS in environmental systems and metabolism in biological systems.  We have developed reaction libraries for predicting transformation products and metabolites in a variety of environmental and biological reaction systems.  These reaction libraries are based on generalized reaction schemes that encode the process science of PFAS reported in the peer-reviewed literature.  The PFAS reaction libraries will be executed through the Chemical Transformation Simulator, a web-based tool that is available to the public. \n\nThis dataset is associated with the following publication:\nWeber, E., C. Stevens, J. Washington, and R. Gladstone. Development of a PFAS reaction library: identifying plausible transformation pathways in environmental and biological systems.   Environmental Science:  Processes & Impacts. RSC Publishing, Cambridge,  UK, 24(5): 689-753, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522917",
      "keyword": [
        "Chemical Transformation System",
        "Metabolism",
        "transformation",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Eric Weber",
        "hasEmail": "mailto:weber.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS_RxnLibData_ESPI2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522917/PFAS_RxnLibData_ESPI2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-22",
      "references": [
        "https://doi.org/10.1039/d1em00445j",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361427"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing resilience of NY drinking water system to normal and extreme scenarios Dataset 072621",
      "description": "This is dataset contains the results of the Water Network Tool for Resilience (WNTR) case study application on a New York drinking water system. The data includes the population impacted from the firefighting and pipe criticality analysis; the water service availability (WSA) and pressure for the loss of source water scenarios; and the modified resilience index and the combined performance index for an example pipe criticality simulation and the loss of source water scenarios. \n\nThis dataset is associated with the following publication:\nChu-Ketterer, L., R. Murray, P. Hassett, J. Kogan, K. Klise, and T. Haxton. Performance and Resilience Analysis of a New York Drinking Water System to Localized and System-Wide Emergencies.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(1): 05022015, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522944",
      "keyword": [
        "Drinking water distribution system",
        "resilience",
        "WNTR",
        "EPANET",
        "Disaster Resilience",
        "drinking water distribution system modeling"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "NY WDS WNTR Case Study Paper Data 072621.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522944/NY%20WDS%20WNTR%20Case%20Study%20Paper%20Data%20072621.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-26",
      "references": [
        "https://doi.org/10.1061/jwrmd5.wreng-5631"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coral Reef Benthic POC Model",
      "description": "The datafile contains the results from expert elicitation utilized to develop narrative decision rules to discriminate between six levels of change in the biological condition along a gradient of increasing anthropogenic stress.  The narrative rules for each of the Biological Condition Gradient (BCG) levels facilitated the evaluation of benthic communities in Caribbean coral reefs to provide specific narrative features experts proposed to detect changes in coral reef condition and biological integrity. These biological metrics and attributes for coral reef benthic organisms will allow evaluation of reef condition relative to undisturbed or minimally disturbed conditions. \n\nThis dataset is associated with the following publication:\nSantavy, D., S. Jackson, B. Jessep, J. Gerritsen, C. Rogers, B. Fisher, E. Weil, A. Szmant, D. Cuevas, B. Walker, C. Jeffrey, P. Bradley, D. Ballantine, L. Roberson, H. Ruiz Torres, B. Todd, T. Smith, R. Clark, E. Diaz, J. Bauza-Ortega, C. Horstmann, and S. Raimondo. A biological condition gradient for coral reefs in the US Caribbean Territories: Part I. Coral narrative rules.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 138: 108805, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1502626",
      "keyword": [
        "coral reef condition",
        "biocriteria",
        "biological integrity",
        "BCG",
        "Biological condition gradient",
        "biological criteria",
        "protection coral reefs",
        "Clean Water Act",
        "thresholds",
        "Narrative rules",
        "Applications"
      ],
      "contactPoint": {
        "fn": "Deborah Santavy",
        "hasEmail": "mailto:santavy.debbie@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub A-wq09 Benthic BCG Narrative Model MS1 Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502626/SciHub%20A-wq09%20Benthic%20BCG%20Narrative%20Model%20MS1%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-06",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.108805"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Methane yields and accompanying data of frozen and unfrozen synthetic feces",
      "description": "Results of biochemical methane potential (BMP) assay on frozen and unfrozen synthetic feces. Accompanying data, such as modeled energy demands are reported. \n\nThis dataset is associated with the following publication:\nKrause, M., N. Detwiler, A. Schwarber, and M. McCauley. An evaluation of solar thermal heating to support a freeze-thaw anaerobic digestion system for human waste treatment in subarctic environments.   Renewable Energy. Elsevier B.V., Amsterdam,  NETHERLANDS, 198: 618-625, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526440",
      "keyword": [
        "biochemical methane potential",
        "anaerobic",
        "Freeze Thaw Cycle",
        "Feces",
        "Alaska"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "https://nsrdb.nrel.gov/data-sets/tmy",
          "accessURL": "https://nsrdb.nrel.gov/data-sets/tmy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncdc.noaa.gov/cdo-web/search",
          "accessURL": "https://www.ncdc.noaa.gov/cdo-web/search",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Final Data for Manuscript Scihub entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526440/Final%20Data%20for%20Manuscript%20Scihub%20entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-17",
      "references": [
        "https://doi.org/10.1016/j.renene.2022.08.055"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Summary dataset for habitat modeling manuscript published in STOTEN 2022",
      "description": "Summary dataset for habitat modeling manuscript published in STOTEN 2022. \n\nThis dataset is associated with the following publication:\nMitchell, M.E., T. Newcomer-Johnson, J. Christensen, W. Crumpton, S. Richmond, B. Dyson, T.J. Canfield, M. Helmers, D. Lemke, M. Lechtenberg, D. Green, and K.J. Forshay. Potential of water quality wetlands to mitigate habitat losses from agricultural drainage modernization.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 838 part4: 156358, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528284",
      "keyword": [
        "ecosystem services",
        "habitat modeling"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Habitat Modeling ScienceHub Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528284/Habitat%20Modeling%20ScienceHub%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.156358"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Skeletal Growth Capacity as a Measure of Coral Species and Community Resilience ",
      "description": "These data reflect calculations for calcification and erosion rates of different stony coral species in the U.S. Virgin Islands. Field data were collected in 2007 and 2009 and calculations are dependent on demographic survey data that measure colony size and proportion of live tissue. \n\nThis dataset is associated with the following publication:\nFisher, W. Skeletal Growth Capacity as a Measure of Coral Species and Community Resilience.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 142: 109208, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526434",
      "keyword": [
        "stony coral growth",
        "stony coral erosion",
        "coral reef framework",
        "stony coral condition",
        "coral reef resilience"
      ],
      "contactPoint": {
        "fn": "William Fisher",
        "hasEmail": "mailto:fisher.william@epa.gov"
      },
      "distribution": [
        {
          "title": "USVI 2007-2009 Skeletal Growth Capacity_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526434/USVI%202007-2009%20Skeletal%20Growth%20Capacity_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-16",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.109208"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526434/documents/Data%20Dictionary%20Fisher.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Trash Taxonomy: California Data Management Subcommittee for Trash Monitoring Workgroup",
      "description": "This data set corresponds to the Trash Taxonomy Tool (TTT) web-based application with query features and open access at openanalysis.org/trashtaxonomy. The TTT can be applied to improve, create, and compare trash surveys, and provides practitioners with tools to integrate datasets and maximize comparability. The use of TTT will ultimately facilitate improvements in assessing trends across space and time, identifying targets for mitigation, evaluating the effectiveness of prevention measures, informing policymaking, and holding producers responsible. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526522",
      "keyword": [
        "plastic",
        "pollution",
        "waste",
        "Anthropogenic",
        "Survey",
        "harmonization",
        "characterization",
        "Trash",
        "Litter",
        "Typology",
        "Source tracking"
      ],
      "contactPoint": {
        "fn": "Margaret McCauley",
        "hasEmail": "mailto:mccauley.margaret@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/wincowgerDEV/TrashTaxonomy",
          "accessURL": "https://github.com/wincowgerDEV/TrashTaxonomy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-12-20",
      "references": [
        "https://dx.doi.org/10.1186/s43591-022-00035-1"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for DIY Air Cleaner Efficacy Testing",
      "description": "This dataset includes air cleaner performance data in the form of clean air delivery rates for Do-it-yourself (DIY) air cleaners of varying design. Data on the usability characteristics, such as the noise level, power consumption, and costs to purchase and operate are included. \n\nThis dataset is associated with the following publication:\nHolder, A., H. Halliday, and P. Virtaranta. Impact of do-it-yourself air cleaner design on the reduction of simulated wildfire smoke in a controlled chamber environment.   INDOOR AIR. Blackwell Publishing, Malden, MA, USA, 32(11): NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527973",
      "keyword": [
        "Wildfire smoke",
        "Fine Particulate Matter",
        "air purifier",
        "filter fan",
        "indoor air quality",
        "Environmental Justice",
        "air filtration"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "DIY Data Tables and Dictionary 20220926.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527973/DIY%20Data%20Tables%20and%20Dictionary%2020220926.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-26",
      "references": [
        "https://doi.org/10.1111/ina.13163"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets to develop and validate the genus-level, trait-based multimetric diatom indices for assessing the ecological condition of river and stream across the conterminous United States",
      "description": "Data is from National Aquatic Resource Surveys. \n\nThis dataset is associated with the following publication:\nRiato, L., R. Hill, A. Herlihy, D. Peck, P. Kaufmann, J. Stoddard, and S. Paulsen. Genus-level, trait-based multimetric diatom indices for assessing the ecological condition of river and stream across the conterminous United States..   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 141: 109131, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527731",
      "keyword": [
        "Taxonomic inconsistency",
        "Traits",
        "diatoms",
        "Genus Taxonomy",
        "Ecological assessment",
        "National Rivers and Streams Assessment."
      ],
      "contactPoint": {
        "fn": "Amanda Nahlik",
        "hasEmail": "mailto:nahlik.amanda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Site Info 2008_2014.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527731/Site%20Info%202008_2014.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA_2013_2014_Diatom_Dataset.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527731/NRSA_2013_2014_Diatom_Dataset.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA_2008_2009_Diatom_Dataset.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527731/NRSA_2008_2009_Diatom_Dataset.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-31",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.109131",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393879"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A high-throughput, automated technique for microplastic detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy",
      "description": "Raw LDIR exported data for microplastics including the surface water samples, air blanks, Super-Q blanks, and field blanks. The aspect ratios determined from the shape standards are included.  Additionally, the FTIR and LDIR spectra of polymers are included. \n\nThis dataset is associated with the following publication:\nWhiting, Q.T., K.F. O'Connor, P.M. Potter, and S.R. Al-Abed. A high-throughput, automated technique for microplastics detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414: 8353-8364, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527752",
      "keyword": [
        "microplastics",
        "surface waters",
        "laser direct infrared spectroscopy"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Shape Parameters.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527752/Shape%20Parameters.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDIR v FTIR Spectra.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527752/LDIR%20v%20FTIR%20Spectra.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDIR Microplastic Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527752/LDIR%20Microplastic%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-31",
      "references": [
        "https://doi.org/10.1007/s00216-022-04371-2"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrite Quantification V1",
      "description": "Contact information for data in manuscript is provided. This dataset is not publicly accessible because: The data is from the University of Arkansas. It can be accessed through the following means: Please contact the corresponding author regarding data for this manuscript:\r\nJulian L. Fairey, Ph.D., P.E.\r\nAssociate Professor, Department of Civil Engineering\r\nAddress: 4190 Bell Engineering Center, Fayetteville, AR 72701, USA\r\nPhone: (479) 575–4023\r\nEmail: julianf@uark.edu. Format: Please contact the corresponding author regarding data for this manuscript:\r\nJulian L. Fairey, Ph.D., P.E.\r\nAssociate Professor, Department of Civil Engineering\r\nAddress: 4190 Bell Engineering Center, Fayetteville, AR 72701, USA\r\nPhone: (479) 575–4023\r\nEmail: julianf@uark.edu. \n\nThis dataset is associated with the following publication:\nDo, T., A. Pifer, D. Wahman, R. Hickman, J. Chimka, and J. Fairey. Nitrite Quantification by Second Derivative Chemometric Models Mitigates Natural Organic Matter Interferences under Chloraminated Drinking Water Distribution System Conditions.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 229: 119430, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526532",
      "keyword": [
        "nitrite"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-15",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.119430"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area",
      "description": "All Pandora data used in this studycan be downloaded freely from the Pandonia Global Network website https://www.pandonia-global-network.org/ (last access: 4 June 2021). Our gridded satellite NO2 products and output from our model simulations can be obtained by contacting the corresponding author, Maria Tzortziou (mtzortziou@ccny.cuny.edu). \n\nThis dataset is associated with the following publication:\nTzortziou, M., C. Kwong, D. Goldberg, L. Schiferl, R. Commane, N. Abuhassan, J. Szykman, and L. Valin. Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 22(4): 2399-2417, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523124",
      "keyword": [
        "Non-attainment areas",
        "Air monitoring",
        "air quality",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.pandonia-global-network.org/",
          "accessURL": "https://www.pandonia-global-network.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-04",
      "references": [
        "https://doi.org/10.5194/acp-22-2399-2022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Grasslight_Data",
      "description": "Grasslight model simulations. \n\nThis dataset is associated with the following publication:\nLebrasse, M., B. Schaeffer, R. Zimmerman, V. Hill, M. Coffer, P. Whitman, W. Salls, D. Graybill, and C.L. Osburn. Simulated response of St. Joseph Bay, Florida, seagrass meadows and their belowground carbon to anthropogenic and climate impacts.   MARINE ENVIRONMENTAL RESEARCH. Elsevier Science Ltd, New York, NY, USA, 179: 105694, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524693",
      "keyword": [
        "submerged aquatic vegetation",
        "carbon",
        "seagrass",
        "estuary",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Grasslight_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524693/Grasslight_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-31",
      "references": [
        "https://doi.org/10.1016/j.marenvres.2022.105694"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations",
      "description": "Data files in this dataset contain the results presented in the manuscript \"Inferring and evaluating satellite-based constraints on NOx emissions estimates in air quality simulations\", under review at Atmospheric Chemistry and Physics.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526537",
      "keyword": [
        "air pollution",
        "air quality",
        "emissions",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "figure_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526537/figure_data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead Acetate & SRM 2710a Soil Modulates Cecal & Fecal Microbiome of Mice",
      "description": "The effect of dietary lead (Pb) on the murine intestinal microbiome was explored to determine if there was an association between microflora modulation and Pb source.  Mice were treated with 6.25-25 ppm Pb acetate (PbOAc) or 7.5-30 ppm Pb in reference soil SRM 2710a having 0.552% Pb among other heavy metals such as Cd.  Feces and ceca were collected following 9 days of treatment and the microbiome analyzed by 16S rRNA gene sequencing.  Treatment effects on the microbiome were observed in both feces and ceca of mice.  Changes in the cecal microbiomes of mice fed  Pb were similar except for a few exceptions regardless of source.   Akkermansia, a common gut bacterium, was highest ranked species in control microbiomes whereas Lactobacillus ranked highest in treated mice. Firmicutes/Bacteroidetes ratios in the ceca of PbOAc and SRM 2710a treated mice increased suggestive of changes in gut microbiome metabolism that promotes obesity. Bacilli/Clostridia  increased in the ceca of PbOAc treated mice and may be indicative of increased risk of host sepsis.  Family Deferribacteraceae also were modulated by PbOAc or SRM 2710a, respectively, possibly impacting iron metabolism.  Understanding the relationship between microbiome composition and Pb concentration, especially in soil, may ultimately provide new insights into the utility of various remediation methodologies that modulate the effects and assist in the selection of an optimal treatment for a specific contaminated site. \n\nThis dataset is associated with the following publication:\nGeorge, S., R. Devereux, J. James, Y. Wan, G. Diamond, K. Bradham, and D. Thomas. Dietary lead modulates the mouse intestinal microbiome:  Subacute exposure to lead acetate and lead contaminated soil. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 249: (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524722",
      "keyword": [
        "lead",
        "Intestinal Microbiome",
        "Mining Soil",
        "bioavailability",
        "Microflora Modulation"
      ],
      "contactPoint": {
        "fn": "Susan George",
        "hasEmail": "mailto:george.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Table OTU within treatment SIMPER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524722/Table%20OTU%20within%20treatment%20SIMPER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table Genus within treatment SIMPER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524722/Table%20Genus%20within%20treatment%20SIMPER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table Familiy within treatment SIMPER.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524722/Table%20Familiy%20within%20treatment%20SIMPER.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table Silva Taxonomy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524722/Table%20Silva%20Taxonomy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table OTU Counts of Ceca and Feces.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524722/Table%20OTU%20Counts%20of%20Ceca%20and%20Feces.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-23",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2022.114430"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SERC_BW_data",
      "description": "OTU tables with taxonomy for zooplankton samples drawn from ballast water tanks, including metadata on sampled vessels. \n\nThis dataset is associated with the following publication:\nPagenkopp Lohan, K.M., J. Darling, and G.M. Ruiz. International shipping as a potent vector for spreading marine parasites.   Diversity and Distributions. Blackwell Publishing Limited, Oxford,  UK, 28(9): 1922-1933, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524685",
      "keyword": [
        "ballast water",
        "metabarcoding",
        "biodiversity",
        "parasite"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SERC_BW_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524685/SERC_BW_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-05-19",
      "references": [
        "https://doi.org/10.1111/ddi.13592"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Resilience analysis WDS power outages in the USVI Dataset 080621",
      "description": "The dataset will include the simulation results from the WNTR analysis of power outages on the US Virgin Islands water distribution system networks. The results include the resilience metrics: modified resilience index, the water service availability, the difference in water, and the tank capacity. The results are provided for three different power outage scenarios (system-wide, source, and distribution) and are averaged over the entire network as well as three different regions. The values of the resilience metrics are provided over time. \n\nThis dataset is associated with the following publication:\nKlise, K., R. Moglen, J. Hogge, D. Eisenberg, and T. Haxton. Resilience analysis of potable water service after power outages in the U.S. Virgin Islands.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 148(12): 05022010, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522945",
      "keyword": [
        "Drinking water distribution system",
        "drinking water distribution system modeling",
        "Disaster Resilience",
        "WNTR",
        "EPANET"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Resilience analysis power outages USVI Dataset 080621.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522945/Resilience%20analysis%20power%20outages%20USVI%20Dataset%20080621.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-06",
      "references": [
        "https://doi.org/10.1061/(asce)wr.1943-5452.0001607"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "paper-1-tke-drydep",
      "description": "this data is in excel sheets. \n\nThis dataset is associated with the following publication:\nAlapaty, K., B. Cheng, J. Bash, J.W. Munger, J. Walker, and S. Arunachalam. Dry Deposition Methods Based on Turbulence Kinetic Energy: 1. Evaluation of Various Resistances and Sensitivity Studies Using a Single-Point Model.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 127(22): e2022JD036631, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524638",
      "keyword": [
        "Ozone",
        "dry depostion",
        "air quality",
        "aerosols",
        "single-point model"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.5874971",
          "accessURL": "https://doi.org/10.5281/zenodo.5874971",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-02",
      "references": [
        "https://doi.org/10.1029/2022jd036631"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations",
      "description": "The datasets include hydrological parameters such as streamflow, soil moisture and water temperature, and meteorological data such as precipitation, max and min temperature, evaporation from 2002 to 2017 for  Lake Erie. \n\nThis dataset is associated with the following publication:\nFeng Chang, C., V. Cover, C. Tang, P. Vlahos, D. Wanik, J. Yan, J. Bash, and M. Astitha. Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 47(6): 1656-1670, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524526",
      "keyword": [
        "streamflow",
        ": Precipitation",
        "air temperatire",
        "soil moisture",
        "water temperature"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [
        {
          "title": "VICdata-2002-2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524526/VICdata-2002-2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-08",
      "references": [
        "https://doi.org/10.1016/j.jglr.2021.09.011",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364922"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "paper-2-tke-drydep-aerosols",
      "description": "data for all the figures and tables can be found in excel sheets. Portions of this dataset are inaccessible because: it is hosted on a public site. They can be accessed through the following means: http://doi.org/10.5281/zenodo.5874973. Format: excel spreadsheet. \n\nThis dataset is associated with the following publication:\nCheng, B., K. Alapaty, Q. Shu, and S. Arunachalam. Dry Deposition Methods Based on Turbulence Kinetic Energy: 2. Extension to Particle Deposition Using a Single-Point Model.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 127(22): e2022JD037803, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524695",
      "keyword": [
        "pm2.5",
        "Dry Deposition"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.5874973",
          "accessURL": "https://doi.org/10.5281/zenodo.5874973",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "data-info.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524695/data-info.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-02-01",
      "references": [
        "https://doi.org/10.1029/2022jd037803"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial communities of fecal samples from a mouse model with ingestion of lead contaminated soils with four treatment amendments.  The data set includes relative abundance and taxonomy.  ",
      "description": "The data set involved mice consumed diets amended with a lead-contaminated soil in its native (untreated) state or after treatment with phosphoric acid or triple superphosphate alone or in combination with iron-waste material or biosolids compost. \n\nThis dataset is associated with the following publication:\nGeorge, S., J. James, R. Devereux, Y. Wan, G. Diamond, K. Bradham, K. Scheckel, and D. Thomas. Ingestion of Remediated Lead-Contaminated Soils Affects the Fecal Microbiome of Mice.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 837: 155797, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524374",
      "keyword": [
        "remediation",
        "lead",
        "bioavailability",
        "heavy metals"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [
        {
          "title": "TAXONOMY ALL joplin.new.tax.primer.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524374/TAXONOMY%20ALL%20joplin.new.tax.primer.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Joplin Relative Abundance Data NEW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524374/Joplin%20Relative%20Abundance%20Data%20NEW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.155797"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Preformed Monochloramine Reactivity with Processed Natural Organic Matter and Scaling Methodology Development for Concentrated Waters Data Set V1",
      "description": "Data is summarized that was used to create all figures in the manuscript and SI. \n\nThis dataset is associated with the following publication:\nKennicutt, A., P. Rossman, J. Bollman, T. Aho, G. Abulikemu, J. Pressman, and D. Wahman. Evaluation of Preformed Monochloramine Reactivity with Processed Natural Organic Matter and Scaling Methodology Development for Concentrated Waters.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(12): 2431-2440, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526325",
      "keyword": [
        "natural organic matter",
        "concentrated waters",
        "Reaction KInetics",
        "preformed monochloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript Figure Data V1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526325/Manuscript%20Figure%20Data%20V1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-13",
      "references": [
        "https://doi.org/10.1021/acsestwater.2c00292"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genetic Fecal Source Identification in Urban Streams Impacted by Municipal Separate Storm Sewer System Discharges",
      "description": "Data for Figures 3-6",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528293",
      "keyword": [
        "geographic information systems",
        "qPCR",
        "municipal stormwater",
        "Fecal Source Identification",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Diedrich etal 2022_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528293/Diedrich%20etal%202022_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A national survey of lead and other metal(loids) in residential drinking water in the United States",
      "description": "A national survey of lead and other metal(loids) in residential drinking water in the United States. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact bradham.karen@epa.gov. Format: The data set includes data that EPA generated for Pb concentrations from drinking water samples collected by HUD and HUD's contractor along with housing characteristics, general location information, and socioeconomic data provided by HUD. The journal article includes data that has been reviewed and approved by HUD for publication as they are co-authors. In order to protect sensitive information, the only data that will be publicly available is included in the journal article and supporting information. ",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524686",
      "keyword": [
        "Copper",
        "lead",
        "contaminant",
        "arsenic",
        "water",
        "sampling",
        "Survey"
      ],
      "contactPoint": {
        "fn": "Karen Bradham",
        "hasEmail": "mailto:bradham.karen@epa.gov"
      },
      "distribution": [],
      "modified": "2022-01-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "End of Pipe",
      "description": "Concentrations of viral/bacterial indicators and viral pathogens in wastewater. \n\nThis dataset is associated with the following publication:\nKorajkic, A., J. Kelleher, O. Shanks, M. Herrmann, and B. McMinn. Effectiveness of two wastewater disinfection strategies for the removal of fecal indicator bacteria, bacteriophage, and enteric viral pathogens concentrated using dead-end hollow fiber ultrafiltration (D-HFUF).   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 831: 154861, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522955",
      "keyword": [
        "viral indicators",
        "viral pathogens",
        "wastewater treatment",
        "removal"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "End of Pipe Data SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522955/End%20of%20Pipe%20Data%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-09",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.154861",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291237"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of Season Water Stratification on Methyl Mercury Production",
      "description": "The current data entry contains the raw data that was used to create the figures and tables in the publication. \n\nThis dataset is associated with the following publication:\nMillard, G., C.S. Eckley, T.P. Luxton, D. Krabbenhoft, J. Goetz, J. McKernan, and J. DeWild. Evaluating the influence of seasonal stratification on mercury methylation rates in the water column and sediment in a contaminated section of a western U.S.A. reservoir.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 316: 120485, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527766",
      "keyword": [
        "methylation",
        "surface water",
        "sediments",
        "mercury",
        "methylmercury"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci-Hub Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527766/Sci-Hub%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-25",
      "references": [
        "https://doi.org/10.1016/j.envpol.2022.120485"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Interlaboratory Performance and Quantitative PCR Performance Benchmarks for NIST SRM® 2917 Monitoring qPCR Assays",
      "description": "qPCR assay interlaboratory measurements using NIST SRM 2917. \n\nThis dataset is associated with the following publication:\nSivaganesan, M., J. Willis, M. Karim, A. Babatola, D. Catoe, A.B. Boehm, M. Wilder, H. Green, A. Lobos, V.J. Harwood, S. Hertel, R. Klepikow, M.F. Howard, P. Laksanalamai, A. Roundtree, M. Mattioli, S. Eytcheson, M. Molina, M. Lane, R. Rediske, A. Ronan, N. D'Souza, J.B. Rose, A. Shrestha, C. Hoar, A.I. Silverman, W. Faulkner, K. Wickman, J.G. Kralj, S. Servetas, M.E. Hunter, S.A. Jackson, and O. Shanks. Interlaboratory performance and quantitative PCR data acceptance metrics for NIST SRM® 2917.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 225: 119162, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526353",
      "keyword": [
        "qPCR",
        "Microbial Source Tracking",
        "standard control material",
        "rapid fecal indicator"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Sivaganesan etal_20xx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526353/Sivaganesan%20etal_20xx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-18",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.119162"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Great Lakes AOC Revitalization Survey of 46 Federal employees in 2020",
      "description": "The survey assessed the likelihood that BUI removal would positively impact a community revitalization response (attributes derived via Directed Content Analysis) with the statement: “Provide your opinion on the likelihood that removing this BUI will positively impact the following revitalization attributes.” Each statement was accompanied by a description of the BUI and a matrix of the 15 revitalization attributes established in the above process. Revitalization attribute definitions were provided via the hover feature. Responses were given on a 5-point Likert scale from “very unlikely” (1), “somewhat unlikely” (2), “neutral” (3), “somewhat likely” (4), to “very likely” (5). \n\nThis dataset is associated with the following publication:\nNorris, C., C. Nigrelli, T. Newcomer Johnson, D. White, G. Beaubien, A. Pelka, and M. Mills. Defining community revitalization in Great Lakes Areas of Concern and investigating how revitalization can be catalyzed through remediation and restoration.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(6): 1432-1443, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523369",
      "keyword": [
        "sustainability",
        "Beneficial Use Impairment",
        "social-ecological system",
        "riverfront",
        "R2R2R"
      ],
      "contactPoint": {
        "fn": "Tamara Newcomer Johnson",
        "hasEmail": "mailto:newcomer-johnson.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "Qualtrics  Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523369/Qualtrics%20%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-03",
      "references": [
        "https://doi.org/10.1016/j.jglr.2022.05.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523369/documents/Table%201.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental Cleanup Interview Codebook",
      "description": "This dataset is a codebook used to analyze interview data. It is a table containing a list of codes and description of codes. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact the PI l at maxwell dot keely at epa dot gov. Format: This dataset is a codebook used to analyze interview data. \n\nThis dataset is associated with the following publication:\nKiessling, B., K. Maxwell, and J. Buckley. The sedimented social histories of environmental cleanups: An ethnography of social and institutional dynamics.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 278(2): 111530, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1517596",
      "keyword": [
        "interviews",
        "Decontamination",
        "social science",
        "Superfund",
        "brownfields",
        "stakeholder",
        "community eng",
        "trust",
        "stigma"
      ],
      "contactPoint": {
        "fn": "Keely Maxwell",
        "hasEmail": "mailto:maxwell.keely@epa.gov"
      },
      "distribution": [],
      "modified": "2020-01-15",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.111530"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Temperate macroalgae BSi concentrations",
      "description": "This is a dataset for biogenic silica concentrations (%BSi by dry weight) from macroalgae from two temperate estuaries: Waquoit Bay (MA, USA) and Narragansett Bay (RI, USA). Additional data on %C, del13C, and collection information is also provided. \n\nThis dataset is associated with the following publication:\nYacano, M., S. Foster, N. Ray, A. Oczkowski, J. Raven, and R.W. Fulweiler. Marine macroalgae are an overlooked sink of silicon in coastal systems.   New Phytologist. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 233(6): 2330-2336, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528314",
      "keyword": [
        "Silica",
        "green macroalgae",
        "red macroalgae",
        "brown macroalgae"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.6084/m9.figshare.15113139.v1",
          "accessURL": "https://doi.org/10.6084/m9.figshare.15113139.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-05-08",
      "references": [
        "https://doi.org/10.1111/nph.17889",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971952"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ocean acidification but not nutrient enrichment reduces grazing and alters diet preference in Littorina littorea",
      "description": "Measurements of nutrient and carbonate chemistry conditions and organism condition in experimental flow-through marine aquariums. This dataset is not publicly accessible because: This is data from external colleagues who were associated with the University of Rhode Island at the time the data were collected. It can be accessed through the following means: Gordon T. Ober\r\ngober@endicott.edu\r\nSchool of Science and Technology, Endicott College,\r\nBeverly, MA 01915, USA. Format: The data are stored in tabular formats that are read into R statistical software and JMP statistical software prior to analysis. \n\nThis dataset is associated with the following publication:\nOber, G.T., C.S. Thornber, and J.S. Grear. Ocean acidification but not nutrient enrichment reduces grazing and alters diet preference in Littorina littorea.   MARINE BIOLOGY. Springer, New York, NY, USA, 169: Article 112, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528337",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "climate",
        "Respiration",
        "consumption",
        "nutrients",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Jason Grear",
        "hasEmail": "mailto:grear.jason@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-12",
      "references": [
        "https://doi.org/10.1007/s00227-022-04099-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "soil ice dataset",
      "description": "see attached excel sheet for meta data description of the soil invertebrate toxicity dataset. \n\nThis dataset is associated with the following publication:\nBarron, M., and F. Lambert. Potential for Interspecies Toxicity Estimation in Soil Invertebrates.   Toxics. MDPI, Basel,  SWITZERLAND, 9(10): 265, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522863",
      "keyword": [
        "toxicity",
        "contaminated soil",
        "soil invertebrate",
        "interspecies extrapolation"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "Soil ICE Manuscript Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522863/Soil%20ICE%20Manuscript%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-08",
      "references": [
        "https://doi.org/10.3390/toxics9100265",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541476"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Medaka Extended One-Generation Reproduction Test (MEOGRT) of 2-Ethylhexyl 4-Hydroxybenzoate",
      "description": "Evaluation of multigenerational effects of 2-ethylhexyl 4-hydroxybenzoate in Japanese medaka\nAbstract  \n\nThe Japanese medaka (Oryzias latipes) extended one-generation reproduction test (MEOGRT) (Test Guideline 890.2200) is a Tier II test within the Endocrine Disruptor Screening Program of the US Environmental Protection Agency (US EPA). A modified MEOGRT was used to evaluate multigenerational effects of 2-ethylhexyl 4-hydroxybenzoate (2-EHHB) under flow-through conditions starting with adults (parent generation, F0) through a 3-week reproductive phase of the second generation (F2). Fish were exposed to one of five 2-EHHB test concentrations or a dechlorinated tap water control. Fecundity was affected at the lowest exposure (5.32 µg/L) and greater sensitivity occurred in the F1 and F2 generations. Percent fertility was also diminished progressing from >101 µg/L in the F0 generation to 101 and 48.8 µg/L in the F1 and F2 generations, respectively. Growth indices were decreased for F0 adult females and F1 subadults and adults at 48.8 µg/L 2-EHHB. Histopathologic examination of gonads, liver, kidney, and thyroid yielded possible delayed reproductive tract development in F1 subadult males, masculinization of the renal phenotype in F1 adult females (renal tubular eosinophilia), and reduced hepatic energy storage (liver glycogen vacuoles) in F1 males at 11.3 µg/L and F1 and F2 generation females at 48.8 µg/L. Endocrine-related findings included a decrease in anal fin papillae in F2 adult males at 101 µg/L. Results of this study demonstrate effects on growth, development, and reproduction that may be mediated by endocrine (weak estrogenic) and non-endocrine mechanisms. Duration of the MEOGRT should not be routinely extended beyond the OCSPP 890 guideline study design. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528150",
      "keyword": [
        "Parabens",
        "endocrine disruption",
        "extended one-generation reproduction test",
        "estrogenic",
        "Histopathology",
        "fish",
        "EDSP",
        "MEOGRT"
      ],
      "contactPoint": {
        "fn": "Sharlene Matten",
        "hasEmail": "mailto:matten.sharlene@epa.gov"
      },
      "distribution": [
        {
          "title": "00_BATT01-00393_FINAL_20180712.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528150/00_BATT01-00393_FINAL_20180712.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-07-12",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Amphibian dermal contact dataset",
      "description": "Scripts and datasets used to merge available amphibian exposure into a collated data set with data analyses. \n\nThis dataset is associated with the following publication:\nPurucker, T., M. Snyder, D. Glinski, R. Van Meter, K. Garber, E. Chelsvig, M. Cyterski, S. Sinnathamby, E. Paulukonis, and M. Henderson. Estimating dermal contact soil exposure for amphibians.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(1): 9-16, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1435025",
      "keyword": [
        "amphibians",
        "pesticides",
        "exposure"
      ],
      "contactPoint": {
        "fn": "Steven Purucker",
        "hasEmail": "mailto:purucker.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/puruckertom/amphib_dermal_collation",
          "accessURL": "https://github.com/puruckertom/amphib_dermal_collation",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-06-04",
      "references": [
        "https://doi.org/10.1002/ieam.4619"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics",
      "description": "All data used for these analyses are publicly available, either through CPDat, ToxRefDB, or the CompTox Chemicals Dashboard. Script associated with these analyses are publicly available through the Ragerlab Github repository. Data that were combined and analyzed in generating results for this specific study are provided as supplemental material (Supplementary Tables 1–10, provided online through the Ragerlab-Dataverse repository). \n\nThis dataset is associated with the following publication:\nKoval, L., K. Dionisio, K. Friedman, K. Isaacs, and J. Rager. Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 32: 794-807, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527807",
      "keyword": [
        "Informatics",
        "Mixtures",
        "cancer",
        "Co-Expo",
        "ExpoCast",
        "environmental chemicals"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://epa.figshare.com/articles/dataset/The_Chemical_and_Products_Database_CPDat_MySQL_Data_File/5352997/2",
          "accessURL": "https://epa.figshare.com/articles/dataset/The_Chemical_and_Products_Database_CPDat_MySQL_Data_File/5352997/2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0890623819300863?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0890623819300863?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard/batch-search",
          "accessURL": "https://comptox.epa.gov/dashboard/batch-search",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/Ragerlab",
          "accessURL": "https://github.com/Ragerlab",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/UMPCKW",
          "accessURL": "https://doi.org/10.15139/S3/UMPCKW",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-16",
      "references": [
        "https://doi.org/10.1038/s41370-022-00451-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742149"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adams et al_Data Set",
      "description": "Data associated with the Adams et al. manuscript \"Elevated winter stream temperatures below wastewater treatment plants shift female reproductive development of Johnny Darter Etheostoma nigrum: a field and histologic approach.\" Data include in vitro estrogen receptor agonist activities of surface water samples and vitellogenin gene expression in Johnny Darter liver samples. \n\nThis dataset is associated with the following publication:\nAdams, C., D. Winkelman, P. Schaffer, R. Fitzpatrick, J. Cavallin, M. Ellman, K. Santana Rodriguez, and D. Villeneuve. Elevated winter stream temperatures below wastewater treatment plants shift reproductive development of Johnny Darter Etheostoma nigrum: a field and histologic approach.   Fishes. MDPI, Basel,  SWITZERLAND,  N/A, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528304",
      "keyword": [
        "climate change",
        "estrogen",
        "endocrine disruption",
        "temperature",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Jenna Cavallin",
        "hasEmail": "mailto:cavallin.jenna@epa.gov"
      },
      "distribution": [
        {
          "title": "Adams et al_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528304/Adams%20et%20al_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-28",
      "references": [
        "https://doi.org/10.3390/fishes7060361"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The chemical landscape of high-throughput new approach methodologies for exposure",
      "description": "Data for the publication Isaacs, K.K., Egeghy, P., Dionisio, K.L. et al. The chemical landscape of high-throughput new approach methodologies for exposure. J Expo Sci Environ Epidemiol (2022). https://doi.org/10.1038/s41370-022-00496-9. \n\nThis dataset is associated with the following publication:\nIsaacs, K., P. Egeghy, K. Dionisio, K. Phillips, A. Zidek, C. Ring, J. Sobus, E. Ulrich, B. Wetmore, A. Williams, and J. Wambaugh. The chemical landscape of high-throughput new approach methodologies for exposure.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 32: 820-832, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528309",
      "keyword": [
        "chemical exposure",
        "New Approach Methologies",
        "APCRA",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "Isaacsetal_JESEE_ExposureNAMLandscape_Datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528309/Isaacsetal_JESEE_ExposureNAMLandscape_Datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-26",
      "references": [
        "https://doi.org/10.1038/s41370-022-00496-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Two Methods for Detection of Viable Bacillus anthracis Simulant Spores in Maritime Environmental Samples",
      "description": "This is a manuscript for a peer-reviewed journal publication of some of the data of the project on “Evaluation of Analytical Methods for Detection of Bacillus anthracis Surrogate Spores: Compatibility with Real-World Maritime Environmental Samples Collected from the U.S. Coast Guard (USCG) Assets and Facilities”, executed under the Department of Homeland Security (DHS) funded Analysis for Coastal Operational Resiliency (AnCOR) program to help the USCG in their efforts to be better prepared to respond to bioterrorism incidents. The manuscript presents the data on the evaluation of performance of the traditional culture (TC) and the rapid viability-polymerase chain reaction (RV-PCR) methods for compatibility with detection of spores of Bacillus thuringiensis subspecies kurstaki (Btk), a surrogate for the anthrax causing Bacillus anthracis, in maritime environmental surface and grab samples. Employing the commonly used surface sampling tools such as Sponge-Sticks and vacuum filter cassettes, samples containing background materials were collected from the response boat-small, response boat-medium, navigation computer screens on these boats, pier concrete, and wood surfaces at the USCG base in Portsmouth, VA. Also collected were grab samples (e.g., grass, gravel, boat wash-water). These samples were spiked in the laboratory with the spores of Bacillus thuringiensis which is commonly used as a surrogate for Bacillus anthracis. The spiked samples were then processed to recover spores and analyzed by the two analytical methods. The performance of these methods was compared and is described in this manuscript. \n\nThis dataset is associated with the following publication:\nNelson, S., K. Hofacre, M. Calfee, S. Serre, E. Benard, C. Graham, L. Oudejans, R. Mickelsen, J. Tang, D. Bansleben, S. Taft, R. James, and S. Shah. Evaluation of Two Methods for Detection of Viable Bacillus anthracis Simulant Spores in Maritime Environmental Samples.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 195: 257, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527859",
      "keyword": [
        "Maritime environmental sample analysis",
        "Bacillus thuringiensis spores",
        "traditional culture method",
        "RV-PCR method"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "Evaluation Analytical Methods Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527859/Evaluation%20Analytical%20Methods%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-16",
      "references": [
        "https://doi.org/10.1007/s10661-022-10772-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry",
      "description": "Data and code for \"Mohammed Taha, H., Aalizadeh, R., Alygizakis, N. et al. The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry. Environ Sci Eur 34, 104 (2022). https://doi.org/10.1186/s12302-022-00680-6\". \n\nThis dataset is associated with the following publication:\nTaha, H.M., R. Aalizadeh, N. Aygizakis, J. Antignac, H.P. Arp, R. Bade, N.C. Baker, L. Belova, L. Bijlsma, E. Bolton, W. Brack, A. Celma, W. Chen, T. Cheng, P. Chirsir, L. Cirka, L. D'Agostino, Y. Djoumbou-Feunang, V. Dulio, S. Fischer, P. Gago-Ferrero, A. Galani, B. Geueke, N. Glowacka, J. Gluge, K. Groh, S. Grosse, P. Haglund, P. Hakkinen, S. Hale, F. Hernandez, E. Janssen, T. Jonkers, K. Kiefer, M. Kirchner, J. Koschorreck, M. Krauss, J. Krier, M. Lamoree, M. Letzel, T. Letzel, Q. Li, J. Little, Y. Liu, D. Lunderberg, J. Martin, A. McEachran, J. McLean, C. Meier, J. Meijer, F. Menger, C. Merino, J. Muncke, M. Muschket, M. Neumann, V. Neveu, K. Ng, H. Oberacher, J. O'Brien, P. Oswald, M. Owaldova, J. Picache, C. Postigo, N. Ramirez, T. Reemtsma, J. Renaud, P. Rostkowski, H. Ruedel, R. Salek, S. Samanipour, M. Scheringer, I. Schliebner, W. Schulz, T. Schulze, M. Sengl, B. Shoemaker, K. Sims, H. Singer, R. Singh, M. Sumarah, P. Thiessen, K. Thomas, S. Torres, X. Trier, A. Van Wezel, R. Vermeulen, J. Vlaanderen, P. Von Der Ohe, Z. Wang, A. Williams, E. Willighagen, D. Wishart, J. Zhang, N. Thomaidis, J. Hollender, J. Slobodnik, and E. Schymanski. The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry.   Environmental Sciences Europe. Springer Nature, New York, NY,  34: 104, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528379",
      "keyword": [
        "suspect screening",
        "high resolution mass spectrometry",
        "non-target screening",
        "open science",
        "FAIR",
        "data exchange",
        "cheminformatics",
        "exposomics",
        "environmental contaminants",
        "chemicals of emerging concern"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.norman-network.com/nds/SLE/",
          "accessURL": "https://www.norman-network.com/nds/SLE/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/communities/norman-sle",
          "accessURL": "https://zenodo.org/communities/norman-sle",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.norman-network.com/nds/susdat/",
          "accessURL": "https://www.norman-network.com/nds/susdat/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard/chemical-lists?search=NORMAN",
          "accessURL": "https://comptox.epa.gov/dashboard/chemical-lists?search=NORMAN",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.norman-network.com/nds/SLE/",
          "accessURL": "https://www.norman-network.com/nds/SLE/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubchem.ncbi.nlm.nih.gov/source/23819",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/source/23819",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubchem.ncbi.nlm.nih.gov/source/23819",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/source/23819",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://gitlab.lcsb.uni.lu/eci/NORMAN-SLE/",
          "accessURL": "https://gitlab.lcsb.uni.lu/eci/NORMAN-SLE/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://gitlab.lcsb.uni.lu/eci/pubchem",
          "accessURL": "https://gitlab.lcsb.uni.lu/eci/pubchem",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-24",
      "references": [
        "https://doi.org/10.1186/s12302-022-00680-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587084"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Curation of a list of chemicals in biosolids from EPA National Sewage Sludge Surveys & Biennial Review Reports",
      "description": "Data for \"Richman, T., Arnold, E. & Williams, A.J. Curation of a list of chemicals in biosolids from EPA National Sewage Sludge Surveys & Biennial Review Reports. Sci Data 9, 180 (2022). https://doi.org/10.1038/s41597-022-01267-9\". \n\nThis dataset is associated with the following publication:\nRichman, T., E. Arnold, and A. Williams. Curation of a list of chemicals in biosolids from EPA National Sewage Sludge Surveys & Biennial Review Reports.   Scientific Data. Springer Nature, New York, NY,  9: 180, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528380",
      "keyword": [
        "biosolids",
        "biennial review reports",
        "Sewage Sludge Surveys",
        "curation"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528380/Supplementary%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI Table 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528380/SI%20Table%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI Table 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528380/SI%20Table%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI Table 2.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528380/SI%20Table%202.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SI Table 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528380/SI%20Table%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-07",
      "references": [
        "https://doi.org/10.1038/s41597-022-01267-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018786"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of a CSRML version of the Analog Identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach",
      "description": "Dataset for \"Development of a CSRML version of the Analog Identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach.”. \n\nThis dataset is associated with the following publication:\nAdams, M., H. Hilde, D. Chang, A. Richard, A. Williams, I. Shah, and G. Patlewicz. Development of a CSRML version of the Analog identification Methodology (AIM) fragments and their evaluation within the Generalised Read-Across (GenRA) approach.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 25: 100256, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528336",
      "keyword": [
        "ClassyFire",
        "ToxPrints",
        "CSRML",
        "AIM",
        "acute toxicity LD50",
        "GenRA"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/files/6397501ae4b04f6bb149ea74?dataset=61147fefe4b0856fdc65639b&space=&folder=63974ee6e4b04f6bb149ea47",
          "accessURL": "https://clowder.edap-cluster.com/files/6397501ae4b04f6bb149ea74?dataset=61147fefe4b0856fdc65639b&space=&folder=63974ee6e4b04f6bb149ea47",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-02",
      "references": [
        "https://doi.org/10.1016/j.comtox.2022.100256"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA data 2000-2014 Deposition Largest N Source Lin et al.",
      "description": "NRSA is part of EPA’s National Aquatic Resource Surveys which samples different surface waters on a 5-year cycle during the growing season. For logistical reasons, each NRSA cycle occurs over 2 years. Since nonwadeable systems were not sampled during the initial 2000–04 survey, we restricted our analyses to systems that have watershed areas <1,000 km2 across all 3 studied surveys for consistency in the sampled stream population over time. All of the national surveys described in this paper are overseen by the USEPA’s Office of Water http://www.epa.gov/nheerl/arm/designpages/monitdesign/survey_overview.htm) with the goal of creating unbiased assessments of aquatic resources across the 48 conterminous states. \n\nData on stream TN, NO3, ammonium (NH4), and TON concentrations originated from these summer NRSA surveys when one water sample was taken at each survey site. About 10% of sites were sampled twice during each survey for quality assurance and validation purpose—for these sites, we used only the first sample in this analysis. NRSA field and lab protocols are described in USEPA documents (67, 68). The detection limits for TN, NO3, and NH4 concentrations are respectively 0.05, 0.05, and 0.005 mg N L−1. Concentrations lower than the detection limits were censored and substituted with the detection limits. NH4 concentrations were generally quite low and near or below detection limits, so we do not examine the NH4 trend. TON concentrations were not directly measured during the survey and hence were calculated as the difference between TN and inorganic N (NO3 plus NH4). Negative TON values were found at 40 sites and were treated as values below the detection limit. We also included DOC concentrations and stream DOC/TON ratios from the surveys in the analysis to further understand changes in stream organic matter over time. \n\nThis dataset is associated with the following publication:\nLin, J., J. Compton, R. Sabo, A. Herlihy, R. Hill, M. Weber, J.R. Brooks, S. Paulsen, and J. Stoddard. The changing nitrogen landscape of United States streams: Declining deposition and increasing organic nitrogen.   PNAS Nexus. Oxford University Press, OXFORD,  UK,  pgad362, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528185",
      "keyword": [
        "air pollution",
        "nitrogen",
        "rivers",
        "streams",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA_spsurvey_R.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528185/NRSA_spsurvey_R.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA_df new.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528185/NRSA_df%20new.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-21",
      "references": [
        "https://doi.org/10.1093/pnasnexus/pgad362",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10783649"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global_NonFloodplain_Wetlands",
      "description": "Here, we provide the first global geodatabase of non-floodplain wetlands. We incorporate the recent development of a high-resolution global floodplain mapping algorithm based on digital terrain models by Nardi et al. (2019). We couple these spatial floodplain data with higher-resolution modifications to the gridded global wetland and open water data layers developed by Tootchi et al. (2019) that incorporates the Pekel et al. (2016) satellite-based inundation product, modeled groundwater-driven wetland extent (Fan et al. 2013), and ancillary satellite landcover data from Herold et al. (2015). We test the applicability of our global database of non-floodplain wetlands in 21 large and spatial-data rich watersheds across the CONUS. This novel global product identifying non-floodplain wetlands provides for the quantification and estimation of the locations and extent of important aquatic systems with abundant hydrological, biogeochemical, and biological functions, filling a noted research gap while delivering useful data for informed natural resource decision-making and management (Creed et al. 2017, Lane et al. 2022). \n\nThis dataset is associated with the following publication:\nLane, C., E. D'Amico, J. Christensen, H. Golden, Q. Wu, and A. Rajib. Mapping global non-floodplain wetlands.   Earth System Science Data. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 15(7): 2927–2955, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528331",
      "keyword": [
        "Landscape",
        "Non-floodplain wetlands",
        "wetland management",
        "Watershed"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Global_NonFloodplain_Wetlands/",
          "accessURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Global_NonFloodplain_Wetlands/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-22",
      "references": [
        "https://doi.org/10.5194/essd-15-2927-2023",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from dC/dN paper: \"Wide variation in U.S. aboveground tree carbon responses to nitrogen deposition and a weakening response since the 1980s-90s.\"",
      "description": "This the dataset shows the plot-level contributions to dC/dN from Figure 2 in the paper.  The data is in file \"SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06\" and the metadata is in file \"SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06_column key.\" The data show, for all the FIA plots used in the analysis, the net dC/dN (the net change in aboveground live tree carbon with change in N deposition) based on both growth and/or survival equations multiplied by the TPH (trees per hectare). Various other identifying pieces of information are also provided (e.g., State, Ecoregion, etc.). ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528045",
      "keyword": [
        "Carbon Sequestration",
        "Forest Biomass",
        "nitrogen deposition",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06_column key.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528045/SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06_column%20key.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528045/SN_gs_dCdN01_state_means_expanded_limited_map_v1_plt_hist_2018MAR06_VIFN3_2021-10-06.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mountaintop Removal Coal Mining Impacts on Structural and Functional Indicators in Central Appalachian Streams",
      "description": "Mountaintop removal coal mining (MTR) has been a major source of landscape change in the Central Appalachians of the United States (US). Changes in stream hydrology, channel geomorphology and water quality caused by MTR coal mining can lead to severe impairment of stream ecological integrity. The objective of the Clean Water Act (CWA) is to restore and maintain the ecological integrity of the Nation’s waters. Sensitive, readily measured indicators of ecosystem structure and function are needed for the assessment of stream ecological integrity. Most such assessments rely on structural indicators; inclusion of functional indicators could make these assessments more holistic and effective. The goals of this study were: (1) test the efficacy of selected carbon (C) and nitrogen (N) cycling and microbial structural and functional indicators for assessing MTR coal mining impacts on streams; (2) determine whether indicators respond to impacts in a predictable manner and (3) determine if functional indicators are less likely to change than are structural indicators in response to stressors associated with MTR coal mining.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528387",
      "keyword": [
        "Ecological integrity",
        "mining",
        "streams",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Roger Burke",
        "hasEmail": "mailto:burke.roger@epa.gov"
      },
      "distribution": [
        {
          "title": "Presentation 1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528387/Presentation%201.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 1.XLSX",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528387/Table%201.XLSX",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chesapeake Bay Nitrogen Trend Predictor Dataset",
      "description": "Please review Zhang et al. (2021) for details on study design and datasets (https://doi.org/10.1016/j.watres.2022.118443). In summary, predictor and response variable data was acquired from the Chesapeake Bay Program and USGS. This data was subjected to a trend analysis to estimate the MK linear slope change for both predictor and response variables. After running a cluster analysis on the scaled TN loading time series (the response variable), the cluster assignment was paired with the slope estimates from the suite of predictor variables tied to the nutrient inventory and static geologic and land use variables. From there, an RF analysis was executed to link trends in anthropogenic driver and other contextual environmental factors to the identified trend cluster types. After calibrating the RF model, likelihood of improving, relatively static, or degrading catchments across the Chesapeake Bay were identified for the 2007 to 2018 period. Tabular data is available on the journal website and PUBMED, and the predictor/response variable data can be downloaded individually in the USGS and Chesapeake Bay Program links listed in the data access section. Portions of this dataset are inaccessible because: This data was generate by other federal entities and are housed in their respective data warehouse domains (e.g., USGS and Chesapeake Bay Program). Furthermore, the data can be accessed on the journal website as well as NCBI PUBMED (https://pubmed.ncbi.nlm.nih.gov/35461100/). They can be accessed through the following means: Combined dataset can be accessed on the journal website (https://www.sciencedirect.com/science/article/pii/S0043135422003979?via%3Dihub#ack0001) and will soon be available on NCBI (https://pubmed.ncbi.nlm.nih.gov/35461100/). \r\nThe predictor variable data can be accessed from the Chesapeake Bay Program (https://cast.chesapeakebay.net/) and USGS (https://pubs.er.usgs.gov/publication/ds948 and https://www.sciencebase.gov/catalog/item/5669a79ee4b08895842a1d47). Format: Please review Zhang et al. (2021) for details on study design and datasets (https://doi.org/10.1016/j.watres.2022.118443).\r\n\r\nIn summary, predictor and response variable data was acquired from the Chesapeake Bay Program and USGS. This data was subjected to a trend analysis to estimate the MK linear slope change for both predictor and response variables. After running a cluster analysis on the scaled TN loading time series (the response variable), the cluster assignment was paired with the slope estimates  from the suite of predictor variables tied to the nutrient inventory and static geologic and land use variables. From there, an RF analysis was executed to link trends in anthropogenic driver and other contextual environmental factors to the identified trend cluster types.\r\n\r\nAfter calibrating the RF model, likelihood of improving, relatively static,  or degrading catchments across the Chesapeake Bay were identified for the 2007 to 2018 period. Tabular data is available on the journal website and PUBMED, and the predictor/response variable data can be downloaded individually in the USGS and Chesapeake Bay Program links listed in the data access section. \n\nThis dataset is associated with the following publication:\nZhang, Q., J. Bostic, and R. Sabo. Regional patterns and drivers of total nitrogen trends in the Chesapeake Bay watershed: Insights from machine learning approaches and management implications.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 218: 1-15, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528287",
      "keyword": [
        "Atmospheric Nitrogen",
        "acid deposition",
        "nitrogen",
        "water quality",
        "machine learning",
        "forest",
        "Agriculture",
        "urban"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.usgs.gov/data/nitrogen-phosphorus-and-suspended-sediment-loads-and-trends-measured-chesapeake-bay-nontidal",
          "accessURL": "https://www.usgs.gov/data/nitrogen-phosphorus-and-suspended-sediment-loads-and-trends-measured-chesapeake-bay-nontidal",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://cast.chesapeakebay.net/",
          "accessURL": "https://cast.chesapeakebay.net/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0043135422003979?via%3Dihub#ack0001",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0043135422003979?via%3Dihub#ack0001",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.sciencebase.gov/catalog/item/5669a79ee4b08895842a1d47",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5669a79ee4b08895842a1d47",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubs.er.usgs.gov/publication/ds948",
          "accessURL": "https://pubs.er.usgs.gov/publication/ds948",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-09",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.118443",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743807"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Do Storage Conditions Affect Collected Cookstove Emission Samples?  Implications for Field Studies",
      "description": "This dataset includes measurements of particulate mass collected on filters by EPA.  Data are illustrated in Figure 2 in a scientific journal article entitled: Do Storage Conditions Affect Collected Cookstove Emission Samples? Implications for Field Studies. \n\nThis dataset is associated with the following publication:\nMutlu, E., T. Cristy, S. Waidyanatha, R. Chartier, J. Jetter, T. Krantz, G. Shen, W. Champion, B. Miller, J. Richey, B. Burbank, and C. Rider. Do Storage Conditions Affect Collected Cookstove Emission Samples? Implications for Field Studies.   ANALYTICAL LETTERS. Taylor & Francis, Inc., Philadelphia, PA, USA,  NA, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1520604",
      "keyword": [
        "cookstove",
        "stove",
        "emission",
        "efficiency"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2 data EPA.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520604/Figure%202%20data%20EPA.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-14",
      "references": [
        "https://www.tandfonline.com/doi/full/10.1080/00032719.2022.2150772"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Permeable Pavement Infiltration testing and Clogging Prediction Set 1 Date Ranges  12/11/209\tto 8/17/12 and4 /27/217 to 3/12/20",
      "description": "This is  a data set gather from a permeable pavement parking lot at Edison Environmental Center.. Data presented is surface infiltration rates for permeable interlocking concrete pavers. Data collected using ASTM C1701. \n\nThis dataset is associated with the following publication:\nOConnor, T., and M. Borst. Predicting Location and Evaluating Progression of Clogging in a Permeable Pavement Parking Lot.   Journal of Green Building. College Publishing, Glen Allen, VA, USA, 17(4): 3-18, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520736",
      "keyword": [
        "infiltration",
        "permeable pavement",
        "Permeable interlocking concrete pavers",
        "ASTM C1701",
        "Storm water control measure",
        "Green Infrastructure",
        "High-resolution survey",
        "Maintenance assessment"
      ],
      "contactPoint": {
        "fn": "Thomas Oconnor",
        "hasEmail": "mailto:oconnor.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHubdatainfiltrationTestingEdisonA-jsz8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520736/SciHubdatainfiltrationTestingEdisonA-jsz8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-04",
      "references": [
        "https://doi.org/10.3992/jgb.17.4.3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A sensitivity analysis of a human exposure model using the Sobol method",
      "description": "Data and code associated with \"Langstaff, J., Glen, G., Holder, C. et al. A sensitivity analysis of a human exposure model using the Sobol method. Stoch Environ Res Risk Assess 36, 3945–3960 (2022). https://doi.org/10.1007/s00477-022-02238-7\". \n\nThis dataset is associated with the following publication:\nLangstaff, J., G. Glen, C. Holder, S. Graham, and K. Isaacs. A sensitivity analysis of a human exposure model using the Sobol method.   Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 36: 3945-3960, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522858",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Environmental Justice",
        "climate change",
        "Children's Environmental Health",
        "Sobol method",
        "air pollution",
        "sensitivity analysis",
        "Exposure modeling"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/fera/download-trimexpo-inhalation-apex",
          "accessURL": "https://www.epa.gov/fera/download-trimexpo-inhalation-apex",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Files.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522858/Supplementary%20Files.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-04",
      "references": [
        "https://doi.org/10.1007/s00477-022-02238-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Large-Scale Evaluation of Microorganism Inactivation by Bipolar Ionization and Photocatalytic Devices: Complete Dataset",
      "description": "Complete dataset for manuscript titled: Large-Scale Evaluation of Microorganism Inactivation by Bipolar Ionization and Photocatalytic Devices. \n\nThis dataset is associated with the following publication:\nRatliff, K., L. Oudejans, J. Archer, W. Calfee, J. Gilberry, D.A. Hook, W. Schoppman, R. Yaga, L. Brooks, and S. Ryan. Large-Scale Evaluation of Microorganism Inactivation by Bipolar Ionization and Photocatalytic Devices.   BUILDING AND ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 227(1): 109804, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527704",
      "keyword": [
        "bioaerosol",
        "bipolar ionization",
        "COVID-19",
        "MS2",
        "aerosol treatment",
        "photocatalytic"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "BPI PCO aerosol treatment manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527704/BPI%20PCO%20aerosol%20treatment%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-01",
      "references": [
        "https://doi.org/10.1016/j.buildenv.2022.109804",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652099"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Promoting risk reduction among young adults with asthma during wildfire smoke",
      "description": "Poor air quality (AQ) from wildfire smoke is associated with increased asthma attacks and emergency department visits. Young adults are less likely to adhere to AQ alerts than older adults. \nThis study utilized data collected as part of a 2020 pilot study testing two smartphone application (app) interventions in young adults with asthma compared to a control group.\nNIH R21 1R21NR019071-01 (PI: Postma, Julie M) 4/1/2020-3/31/2022 Promoting Risk\nReduction Among Young Adults with Asthma During Wild\fre Smoke Events The goal of\nthis proposal was to assess the feasibility of the `Smoke Sense,' an EPA-developed smart\nphone air quality application (app), to positively impact health outcomes among young\nadults with asthma. This study is a clinical intervention. This dataset is not publicly accessible because: The data is associated with the manuscript whose corresponding author is Dr. Julie Postma\r\nAssistant Dean of Research, Associate Professor \r\nWashington State University College of Nursing. It can be accessed through the following means: Assistant Dean of Research, Associate Professor \r\nWashington State University College of Nursing \r\n \r\nEmail: jpostma@wsu.edu; Phone: 253-445-4612 \r\nWSU Puyallup Research and Extension Center 2606 W. Pioneer Ave, Puyallup, WA 98371-4998 www.nursing.edu. Format: Ascii flat files. \n\nThis dataset is associated with the following publication:\nPostma, J., A. Rappold, T. Odom Maryon, H. Haverkamp, S. Amiri, R. Bindler, J. Whicker, and V. Walden. Promoting risk reduction among young adults with asthma during wildfire smoke.   Public Health Nursing. John Wiley & Sons, Inc., Hoboken, NJ, USA, 39(2): 405-414, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528282",
      "keyword": [
        "Wildfire smoke",
        "health risk communication",
        "asthma",
        "smart phone applications"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-13",
      "references": [
        "https://doi.org/10.1111/phn.12986",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930445"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code for Quantifying coastal ecosystem condition and trophic state index",
      "description": "This data file contains the data used to produce the manuscript \"Quantifying coastal ecosystem condition and a trophic state index with a Bayesian analytical framework\"  The data were obtained from the National Coastal Condition Assessment (EPA) and from monitoring programs working near Boston, MA (Massachusetts Water Resource Authority - http://mwra.com).  The file also includes Rmd and JAGS code used to produce the manuscript. \n\nThis dataset is associated with the following publication:\nHagy III, J.D., B.J. Kreakie, M.C. Pelletier, F. Nojavan, J.A. Kiddon, and A.J. Oczkowski. Quantifying coastal ecosystem trophic state at a macroscale using a Bayesian analytical framework.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 142: 109267, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522938",
      "keyword": [
        "National Coastal Condition Assessment",
        "nutrients",
        "Boston Harbor"
      ],
      "contactPoint": {
        "fn": "James Hagy",
        "hasEmail": "mailto:hagy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/-cTSI",
          "accessURL": "https://github.com/USEPA/-cTSI",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hagy_et_al_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522938/Hagy_et_al_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-05",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.109267"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bayesian inference of chemical exposures from NHANES urine biomonitoring data",
      "description": "Data and files for \"Stanfield, Z., Setzer, R.W., Hull, V. et al. Bayesian inference of chemical exposures from NHANES urine biomonitoring data. J Expo Sci Environ Epidemiol 32, 833–846 (2022). https://doi.org/10.1038/s41370-022-00459-0\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528370",
      "keyword": [
        "Exposure modeling",
        "New Approach Methods",
        "biomonitoring",
        "Child Exposure / Health",
        "toxicokinetics"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://wwwn.cdc.gov/nchs/nhanes",
          "accessURL": "https://wwwn.cdc.gov/nchs/nhanes",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Tables.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528370/Supplementary%20Tables.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528370/Supplementary%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-HumanExposure-bayesmarker",
          "accessURL": "https://github.com/USEPA/CompTox-HumanExposure-bayesmarker",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods",
      "description": "Dataset for \"Nicolas Chantel I., Linakis Matthew W., Minto Melyssa S., Mansouri Kamel, Clewell Rebecca A., Yoon Miyoung, Wambaugh John F., Patlewicz Grace, McMullen Patrick D., Andersen Melvin E., Clewell III Harvey J, Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods, Frontiers in Pharmacology, 13, 2022, https://www.frontiersin.org/articles/10.3389/fphar.2022.980747,10.3389/fphar.2022.980747\" \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528376",
      "keyword": [
        "Threshold of Toxicological Concern (TTC)",
        "computational toxicology",
        "in silico",
        "high-throughput risk prioritization",
        "margin of exposure"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Material.ZIP",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528376/Supplemental%20Material.ZIP",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-10-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target",
      "description": "Data files for \"Eccles KM, Karmaus AL, Kleinstreuer NC, Parham F, Rider CV, Wambaugh JF, Messier KP. A geospatial modeling approach to quantifying the risk of exposure to environmental chemical mixtures via a common molecular target. Sci Total Environ. 2023 Jan 10;855:158905. doi: 10.1016/j.scitotenv.2022.158905. Epub 2022 Sep 21. PMID: 36152849\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528373",
      "keyword": [
        "ToxCast",
        "Environmental Justice",
        "httk",
        "geospatial",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528373/Supplemental%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary Files.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528373/Supplementary%20Files.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "World Trade Center Mutagenicity Data of the Organic Fraction of Collected Dust",
      "description": "Mutagenicity Data from the organic fraction of dust collected from the World Trade Center site. \n\nThis dataset is associated with the following publication:\nDemarini, D., S. Warren, and L. Brooks. Mutagenicity of the Organic Fraction of World Trade Center Dust.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 64(1): 16-25, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528068",
      "keyword": [
        "World Tra",
        "PAHs",
        "Mutagenicity",
        "particulate matter (PM)"
      ],
      "contactPoint": {
        "fn": "Lance Brooks",
        "hasEmail": "mailto:brooks.lance@epa.gov"
      },
      "distribution": [
        {
          "title": "World Trade Center Muatagenicity Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528068/World%20Trade%20Center%20Muatagenicity%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-27",
      "references": [
        "https://doi.org/10.1002/em.22519"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Targeted Per- and Polyfluoroalkyl Substances (PFAS) Assessments for High Throughput Screening: Analytical and Testing Considerations to Inform a PFAS Stock Quality Evaluation Framework",
      "description": "Data for \"Smeltz MG, Clifton MS, Henderson WM, McMillan L, Wetmore BA. Targeted Per- and Polyfluoroalkyl substances (PFAS) assessments for high throughput screening: Analytical and testing considerations to inform a PFAS stock quality evaluation framework. Toxicol Appl Pharmacol. 2023 Jan 15;459:116355. doi: 10.1016/j.taap.2022.116355. Epub 2022 Dec 16. PMID: 36535553\". \n\nThis dataset is associated with the following publication:\nSmeltz, M., M. Clifton, W. Henderson, L. McMillan, and B. Wetmore. Targeted Per- and Polyfluoroalkyl substances (PFAS) assessments for high throughput screening: Analytical and testing considerations to inform a PFAS stock quality evaluation framework.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 459: 116355, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528434",
      "keyword": [
        "In Vitro Toxicity Testing",
        "mass spectrometry",
        "high-throughput screening",
        "New Approach Methods",
        "Children's Environmental Health",
        "Chemical Quality",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Tables 20221123.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528434/Supplementary%20Tables%2020221123.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-16",
      "references": [
        "https://doi.org/10.1016/j.taap.2022.116355"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demographic analysis demonstrates systematic but independent spatial variation in abiotic and biotic stressors across 59 percent of a global species range",
      "description": "Five figures and four tables associated with:\n\n\"Katharine J. Ruskin, Matthew A. Etterson, Thomas P. Hodgman, Alyssa C. Borowske, Jonathan B. Cohen, Chris S. Elphick, Christopher R. Field, Rebecca A. Longenecker, Erin King, Alison R. Kocek, Adrienne I. Kovach, Kathleen M. O'Brien, Nancy Pau, W. Gregory Shriver, Jennifer Walsh, Brian J. Olsen, Demographic analysis demonstrates systematic but independent spatial variation in abiotic and biotic stressors across 59 percent of a global species range, The Auk, Volume 134, Issue 4, 1 October 2017, Pages 903–916, https://doi.org/10.1642/AUK-16-230.1\". Portions of this dataset are inaccessible because: The formats, pptx and jpeg, are incompatible. They can be accessed through the following means: Open access journal article. Format: PowerPoint of five figures, and four tables. \n\nThis dataset is associated with the following publication:\nRuskin, K., M. Etterson, T. Hodgman, A. Borowske, J. Cohen, C. Elphick, C. Field, R. Longenecker, E. King, A. Kocek, A. Kovach, K. O'Brien, N. Pau, G. Shriver, J. Walsh, and B. Olsen. Demographic analysis demonstrates systematic but independent spatial variation in abiotic and biotic stressors across 59 percent of a global species range..   The Auk. American Ornithologists' Union, Shipman, VA, USA, 134(4): 903-916, (2017).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528461",
      "keyword": [
        "ammodramus caudacutus",
        "latitudinal gradients",
        "abiotic and biotic stressors",
        "Fecundity"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://academic.oup.com/auk/article/134/4/903/5149134#",
          "accessURL": "https://academic.oup.com/auk/article/134/4/903/5149134#",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-10-09",
      "references": [
        "https://doi.org/10.1642/auk-16-230.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Towards reproducible structure-based chemical categories for PFAS to inform and evaluate toxicity and toxicokinetic testing",
      "description": "Data and code for \"Grace Patlewicz, Ann M. Richard, Antony J. Williams, Richard S. Judson, Russell S. Thomas, Towards reproducible structure-based chemical categories for PFAS to inform and evaluate toxicity and toxicokinetic testing, Computational Toxicology, Volume 24, 2022, 100250, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2022.100250.\". \n\nThis dataset is associated with the following publication:\nPatlewicz, G., A. Richard, A. Williams, R. Judson, and R. Thomas. Towards reproducible structure-based chemical categories for PFAS to inform and evaluate toxicity and toxicokinetic testing..   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 24: 100250, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528378",
      "keyword": [
        "PFAS",
        "New Approach Methods",
        "ToxCast",
        "Read-across",
        "Chemical categories",
        "ToxPrints"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/g-patlewicz/pfas_cats/",
          "accessURL": "https://github.com/g-patlewicz/pfas_cats/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.21430380",
          "accessURL": "https://doi.org/10.23645/epacomptox.21430380",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-24",
      "references": [
        "https://doi.org/10.1016/j.comtox.2022.100250"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Part 2_Stabilization and Containment Dataset",
      "description": "Data corresponding to graphs and some tables paper. \n\nThis dataset is associated with the following publication:\nMagnuson, M., T. Stilman, S. Serre, J. Archer, R. James, X. Xiaoyan, M. Lawrence, E. Tamargo, H. Raveh-Amit, and A. Sharon. Part 2: Stabilization/Containment of Radiological Particle Contamination to Enhance First Responder, Early Phase Worker, and Public Safety.   Applied Sciences. MDPI, Basel,  SWITZERLAND, 12(8): 3861, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528443",
      "keyword": [
        "Technology",
        "Indoor outdoor decontamination",
        "radiological",
        "mitigation"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Part 2_Stabilization and Containment Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528443/Part%202_Stabilization%20and%20Containment%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-21",
      "references": [
        "https://doi.org/10.3390/app12083861"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating toxicokinetic variability to identify susceptible and highly exposed populations",
      "description": "Data for \"Breen, M., Wambaugh, J.F., Bernstein, A. et al. Simulating toxicokinetic variability to identify susceptible and highly exposed populations. J Expo Sci Environ Epidemiol 32, 855–863 (2022). https://doi.org/10.1038/s41370-022-00491-0\". \n\nThis dataset is associated with the following publication:\nBreen, M., J. Wambaugh, A. Bernstein, M. Sfeir, and C. Ring. Simulating toxicokinetic variability to identify susceptible and highly exposed populations.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 32: 855-863, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528377",
      "keyword": [
        "Generic physiologically-based toxicokinetic (PBTK) models",
        "new approach methodologies",
        "modeling software tools",
        "Environmental Justice",
        "model variability and uncertainty",
        "population simulator"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528377/Supplementary%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/package=httk",
          "accessURL": "https://cran.r-project.org/package=httk",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-ExpoCast-httk/",
          "accessURL": "https://github.com/USEPA/CompTox-ExpoCast-httk/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-20",
      "references": [
        "https://doi.org/10.1038/s41370-022-00491-0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 and PMMoV concentration",
      "description": "Concentrations of PMMoV and SARS-CoV-2 from wastewater using two different methods. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Bivins, A. Korajkic, S. Metcalfe, W.J.M. Smith, and S.L. Simpson. Comparative analysis of Adsorption-Extraction (AE) and Nanotrap® Magnetic Virus Particles (NMVP) workflows for the recovery of endogenous enveloped and non-enveloped viruses in wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 895(1): 160072, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528112",
      "keyword": [
        "wastewater",
        "SARS-CoV-2",
        "Concentration",
        "PMMoV"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "SARS-CoV-2 and PMMoV concentration.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528112/SARS-CoV-2%20and%20PMMoV%20concentration.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.160072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Method Development for a Short-Term 7-Day Toxicity Test with Unionid Mussels",
      "description": "Data associated with \"Wang N, Kunz JL, Hardesty DK, Steevens JA, Norberg-King T, Hammer EJ, Bauer CR, Augspurger T, Dunn S, Martinez D, Barnhart MC, Murray J, Bowersox M, Roberts J, Bringolf RB, Ratajczak R, Ciparis S, Cope WG, Buczek SB, Farrar D, May L, Garton M, Gillis PL, Bennett J, Salerno J, Hester B, Lockwood R, Tarr C, McIntyre D, Wardell J. Method Development for a Short-Term 7-Day Toxicity Test with Unionid Mussels. Environ Toxicol Chem. 2021 Dec;40(12):3392-3409. doi: 10.1002/etc.5225. Epub 2021 Nov 10. PMID: 34592004.\". \n\nThis dataset is associated with the following publication:\nWang, N., J. Kunz, D. Hardesty, J. Steevens, T. Norberg-King, E. Hammer, C. Bauer, T. Augsberger, S. Dunn, D. Martinez, C. Barnhardt, J. Murray, M. Bowersox, J. Roberts, R. Bringolf,, R. Ratajczak, , S. Ciparis, W.G. Cope, S. Buczek, D. Farrar, L. May, M. Garton, P.L. Gillis, J. Bennett, J. Salerno, B. Hester, R. Lockwood, C. Tarr, D. McIntyre, and J. Wardell. Method Development for a Short-Term 7-d Toxicity Test with Unionid Mussels (RARE Project Development of Standard Methods for Two Freshwater Invertebrate Species, Mussels and Mayflies, for Whole Effluent Toxicity Testing and Receiving Waters).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 40(12): 3392-3409, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528488",
      "keyword": [
        "interlaboratory variability",
        "toxicity",
        "Whole Effluent Toxicity",
        "test methods",
        "NaCl"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://setac.onlinelibrary.wiley.com/doi/full/10.1002/etc.5225",
          "accessURL": "https://setac.onlinelibrary.wiley.com/doi/full/10.1002/etc.5225",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplemental Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528488/Supplemental%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-10",
      "references": [
        "https://doi.org/10.1002/etc.5225"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urinary Mutagenicity of Wildland Fireifghters",
      "description": "The data are the primary mutagenicity data (revertants/plate) for each dose (ml-equivalent/plate) of organic extract of urine from the firefighters. \n\nThis dataset is associated with the following publication:\nWu, C., S. Warren, D. DeMarini, C. Song, and O. Adetona. Urinary Mutagenicity and Oxidative Status of Wildland Firefighters Working at Prescribed burns in a Midwestern U.S. Forest.   OCCUPATIONAL AND ENVIRONMENTAL MEDICINE. BMJ / British Medical Journal Publishing Group, London,  UK, 78(5): 315-322, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518387",
      "keyword": [
        "urinary mutagenicity",
        "wildfire",
        "wildfire firefighters",
        "wildland fires",
        "oxidative stress"
      ],
      "contactPoint": {
        "fn": "David Demarini",
        "hasEmail": "mailto:demarini.david@epa.gov"
      },
      "distribution": [
        {
          "title": "OSU WF Urinary Mutagenicity 11-25-19_summarized.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518387/OSU%20WF%20Urinary%20Mutagenicity%2011-25-19_summarized.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-03-12",
      "references": [
        "https://doi.org/10.1136/oemed-2020-106612"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multiscale Framework King County and Puget Lowland data",
      "description": "This data has the benthic index of biotic integrity for King County, Washington and also includes the index of watershed integrity and index of catchment integrity. \n\nThis dataset is associated with the following publication:\nRiato, L., S. Leibowitz, M. Weber, and R. Hill. A multiscale landscape approach for prioritizing river and stream protection and restoration actions.   Ecosphere. ESA Journals,    14(1): e4350, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526318",
      "keyword": [
        "multiple spatial scales",
        "stream management",
        "ecological condition assessments",
        "catchment",
        "benthic Index of Biotic Integrity",
        "landscape information",
        "dispersal",
        "StreamCat",
        "Watershed"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Multiscale Framework King County and Puget Lowland data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526318/Multiscale%20Framework%20King%20County%20and%20Puget%20Lowland%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-30",
      "references": [
        "https://doi.org/10.1002/ecs2.4350"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Trace element concentration data",
      "description": "Selenium, Arsenic, Cadmium data daily concentration for USGS stream sites. \n\nThis dataset is associated with the following publication:\nBeyene, M., S. Leibowitz, C. Dunn, and K. Bladon. To Burn or Not to Burn: An Empirical Assessment of the Impacts of Wildfires and Prescribed Fires on Trace Element Concentrations in Western US Streams.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 863(10): 160731, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527719",
      "keyword": [
        "water quality",
        "Western US wildfires",
        "arsenic",
        "Cadmium",
        "Prescribed Fires",
        "Selenium"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Summary of Data Source and Attributes.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Summary%20of%20Data%20Source%20and%20Attributes.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Selenium_Flow_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Selenium_Flow_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Selenium_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Selenium_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Daily_Selenium_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Daily_Selenium_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Daily_Cadmium_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Daily_Cadmium_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Daily_Arsenic_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Daily_Arsenic_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Cadmium_Flow_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Cadmium_Flow_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Cadmium_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Cadmium_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Arsenic_Discharge_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Arsenic_Discharge_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sites_Arsenic_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/Sites_Arsenic_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-03",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.160731"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527719/documents/Definitions%20of%20acronyms%20and%20abbreviations%20.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "RBEROSTv1 Dataset for Upper Connecticut River Pilot Project",
      "description": "This database contains data required to run the River Basin Export Reduction Optimization Support Tool (RBEROST) v1 for the pilot study in the Upper Connecticut River Basin described in the Chamberlin et al. manuscript. \n\nThis dataset is associated with the following publication:\nChamberlin, C., M. Ten Brink, K. Munson, A. Le, and N. Detenbeck. River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(1): 178-196, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523145",
      "keyword": [
        "best management practices (BMPs)",
        "agricultural conservation practices",
        "riparian buffers",
        "wastewater treatment upgrades",
        "optimization",
        "Upper Connecticut River basin",
        "nutrient reduction"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/edm",
          "accessURL": "https://www.epa.gov/edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/RBEROST",
          "accessURL": "https://github.com/USEPA/RBEROST",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-27",
      "references": [
        "https://doi.org/10.1111/1752-1688.13070"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/RBEROST"
      },
      "accessRights": "public"
    },
    {
      "title": "Computational Estimates of Aggregate Exposure to PFOA/PFOS from 2011-2017 Using a Basic Intake and Pharmacokinetic Model",
      "description": "General aggregate PFOS and PFOA exposure estimates are based on reported summary statistics from concentration studies by media, i.e. into indoor air, outdoor air, food, water, dust and soil, and published contact rates. These values were entered into a first-order PK model to estimate PFOS and PFOA blood serum concentrations. which were then compared measured concentrations reported by the 2013-2014 National Health and Nutrition Examination Survey (NHANES) measured concentrations. These methods are an expansion of the process taken by two previous studies, which predicted body burden from aggregate route intakes for PFOA and for PFOS, respectively. \n\nThis dataset is associated with the following publication:\nEast, A., P. Egeghy, E. Hubal, R. Slover, and D. Vallero. Computational estimates of daily aggregate exposure to PFOA/PFOS from 2011 to 2017 using a basic intake model.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 33: 56-68, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520464",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "aggregate exposure estimation",
        "perfluoroctanoic acid (PFOA)",
        "pharmacokinetic (PK) model",
        "Data curation",
        "perfluorooctane sulfonate (PFOS)"
      ],
      "contactPoint": {
        "fn": "Daniel Vallero",
        "hasEmail": "mailto:vallero.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOA PFOS Intake Results 20201005 dav.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520464/PFOA%20PFOS%20Intake%20Results%2020201005%20dav.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Input 10052020 pfos_pfoa dav.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520464/Input%2010052020%20pfos_pfoa%20dav.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-16",
      "references": [
        "https://doi.org/10.1038/s41370-021-00374-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1520464/documents/Table%201%20PFOA%20PFOS%20AE%20DAV%20.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-Dataset for property values and water quality",
      "description": "We conduct a comprehensive literature review and meta-analysis of studies that examine the effects of water quality on waterfront and non-waterfront housing values. We identify 36 studies that yield 665 observations. The rows of the dataset include each observation from the hedonic studies and the columns include the variables we created from each study (e.g., year of publication, type of publication, water quality measure, location, waterbody type, elasticities). This dataset is associated with the following publication: Guignet, D., M. Heberling, M. Papenfus, and O. Griot. Property values, water quality, and benefit transfer: A nationwide meta-analysis.. Land Economics. University of Wisconsin Press, Madison, WI, USA, 98(2): 191-218, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528500",
      "keyword": [
        "water quality",
        "hedonic",
        "meta-analysis",
        "property value",
        "water pollution"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1518489",
          "accessURL": "https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=https://doi.org/10.23719/1518489",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PropRA-Supplementary Information ",
      "description": "Proportional response addition (Prop-RA), a model for predicting response from chemical mixture exposure, is demonstrated, and evaluated by statistically evaluating data on all possible binary combinations of the four regulated trihalomethanes. In the Prop-RA model, the contribution of each component to mixture toxicity is based on its proportion in the mixture as well as its response at the total mixture dose. To allow evaluation of Prop-RA, an experimental design was employed using a set of doses common to all components and mixtures, providing hepatotoxicity data on the four single trihalomethanes and the two combinations. The primary analysis conducted on these data consisted of 160 evaluations. Statistically significant departures from the outcome predicted under an assumption of Prop-RA additivity, were found for 7 evaluations, with 3 greater than and 4 less than the response predicted by the Prop-RA model. Interaction magnitudes (n-fold different response than the Prop-RA prediction) ranged from 1.3 to 1.4 for the greater than additive responses and 2.6 to 3.8 for the less than additive responses.  The successful prediction of trihalomethane mixture response by Prop-RA lends support to the idea that the method works best with chemicals where the effective dose ranges overlap. As Prop-RA does not have the mechanistic assumptions of either dose or response addition, it may be best applied to mixtures where the same component chemicals affect the same organ/system but where knowledge of whether the components act via the same, converging or independent pathways is not known. \n\nThis dataset is associated with the following publication:\nTeuschler , L., R. Hertzberg , T. McDonald, Y. Sey, and J. Simmons. Evaluation of a Proportional Response Addition Approach to Mixtures Risk Assessment and Predictive Toxicology Using Data on Four Trihalomethanes.   Toxics. MDPI, Basel,  SWITZERLAND, 12(4): 240, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528442",
      "keyword": [
        "mixtures risk assessment",
        "proportional response addition",
        "additivity",
        "toxicological interaction",
        "trihalomethanes",
        "trihalomethane mixtures",
        "disinfectant byproducts",
        "predictive computational toxicology"
      ],
      "contactPoint": {
        "fn": "Tony McDonald",
        "hasEmail": "mailto:mcdonald.tony@epa.gov"
      },
      "distribution": [
        {
          "title": "PropRA-Supplementary Information 2-09-2021.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528442/PropRA-Supplementary%20Information%202-09-2021.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-20",
      "references": [
        "https://doi.org/10.3390/toxics12040240"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Roof-harvested rainwater pathogen ddPCR data",
      "description": "Bayesian estimations of ddPCR molecules of virulence genes detected per ml of each sample and conversion of molecules to cells/cysts/oocysts per ml based on published estimates of gene copies per cell/cyst/oocyst. \n\nThis dataset is associated with the following publication:\nAlja'fari, J., S. Sharvelle, N. Brinkman, M. Jahne, S. Keely, E. Wheaton, J. Garland, C. Welty, M. Sukop, and T. Meixner. Characterization of Roof Runoff Microbial Quality in Four U.S. Cities with Varying Climate and Land Use Characteristics.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 225: 119123, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528430",
      "keyword": [
        "roof-harvested rainwater",
        "nonpotable reuse",
        "water reuse",
        "roof runoff"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "UWIN-Rainwater-ddPCR-SciHub-20230117.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528430/UWIN-Rainwater-ddPCR-SciHub-20230117.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-17",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.119123"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detection and toxicity modeling of anthraquinone dyes and chlorinated side products from a colored smoke pyrotechnic reaction",
      "description": "Data for \"Dilger JM, Martin TM, Wilkins BP, Bohrer BC, Thoreson KM, Fedick PW. Detection and toxicity modeling of anthraquinone dyes and chlorinated side products from a colored smoke pyrotechnic reaction. Chemosphere. 2022 Jan;287(Pt 1):131845. doi: 10.1016/j.chemosphere.2021.131845. Epub 2021 Aug 19. PMID: 34523441.\". \n\nThis dataset is associated with the following publication:\nDilger, J., T. Martin, B. Wilkins, B. Bohrer, K. Thoreson, and P. Fedick. Detection and toxicity modeling of anthraquinone dyes and chlorinated side products from a colored smoke pyrotechnic reaction.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 287(Part 1): 131845, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528505",
      "keyword": [
        "Pyrotechnic Smokes and Obscurants",
        "mass spectrometry",
        "Environmental chemistry",
        "gas chromatography",
        "Toxicity Modeling",
        "pyrolysis"
      ],
      "contactPoint": {
        "fn": "Todd Martin",
        "hasEmail": "mailto:martin.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528505/Supplementary%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-08-19",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2021.131845"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FluoroMatch 2.0-making automated and comprehensive non-targeted PFAS annotation a reality",
      "description": "Data for \"Koelmel JP, Stelben P, McDonough CA, Dukes DA, Aristizabal-Henao JJ, Nason SL, Li Y, Sternberg S, Lin E, Beckmann M, Williams AJ, Draper J, Finch JP, Munk JK, Deigl C, Rennie EE, Bowden JA, Godri Pollitt KJ. FluoroMatch 2.0-making automated and comprehensive non-targeted PFAS annotation a reality. Anal Bioanal Chem. 2022 Jan;414(3):1201-1215. doi: 10.1007/s00216-021-03392-7. Epub 2021 May 20. PMID: 34014358.\". Portions of this dataset are inaccessible because: The link provided by UCSD doesn't seem to be working. They can be accessed through the following means: Contact Jeremy Koelmel at Yale University, jeremykoelmel@innovativeomics.com. Format: The final annotated excel sheets with feature intensities, annotations, homologous series groupings, etc., are available as a supplemental excel file with the online version of this manuscript. The raw Agilent “.d” files can be downloaded at: ftp://massive.ucsd.edu/MSV000086811/updates/2021-02-05_jeremykoelmel_e5b21166/raw/McDonough_AFFF_3M_ddMS2_Neg.zip\r\n\r\n(Note use Google Chrome or Firefox, Microsoft Edge and certain other browsers are unable to download from an ftp link). \n\nThis dataset is associated with the following publication:\nKoelmel, J.P., P. Stelben, C.A. McDonough, D.A. Dukes, J.J. Aristizabal-Henao, S.L. Nason, Y. Li, S. Sternberg, E. Lin, M. Beckmann, A. Williams, J. Draper, J. Finch, J.K. Munk, C. Deigl, E. Rennie, J.A. Bowden, and K.J. Godri Pollitt. FluoroMatch 2.0—making automated and comprehensive non-targeted PFAS annotation a reality.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414(3): 1201-1215, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528504",
      "keyword": [
        "mass spectrometry",
        "non-targeted analysis",
        "Aqueous Film Forming Foam",
        "Liquid Chromatography",
        "software",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://innovativeomics.com/software/fluoromatch-flow-covers-entire-pfas-workflow/",
          "accessURL": "https://innovativeomics.com/software/fluoromatch-flow-covers-entire-pfas-workflow/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2020_01_08_AFFF_Manual.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528504/2020_01_08_AFFF_Manual.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2021_01_08_AFFF_FluoroMatch2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528504/2021_01_08_AFFF_FluoroMatch2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-05-20",
      "references": [
        "https://doi.org/10.1007/s00216-021-03392-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone responsive gene expression as a model for describing repeat exposure response trajectories and inter-individual toxicodynamic variability in vitro",
      "description": "Dataset for manuscript titled, \"Ozone responsive gene expression as a model for describing repeat exposure response trajectories and inter-individual toxicodynamic variability in vitro\" published in Toxicological Sciences (2022), 185(1): 38-49.  Metadata are in the Readme tab within the data file. \n\nThis dataset is associated with the following publication:\nBowers, E., E. Martin, A. Jarabek, D. Morgan, H. Smith, L. Dailey, E. Aungst, D. Diaz-Sanchez, and S. McCullough. Ozone responsive gene expression as a model for describing repeat exposure response trajectories and interindividual toxicodynamic variability in vitro.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  185(1): 38-49, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528502",
      "keyword": [
        "Ozone",
        "in vitro",
        "inhalation",
        "Acute Inhalation Study",
        "Repeated Exposure",
        "primary bronchial epithelial cell",
        "NAMs"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
      "distribution": [
        {
          "title": "In Vitro Single and Repeated Exposure Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528502/In%20Vitro%20Single%20and%20Repeated%20Exposure%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-01-03",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab128",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8714356"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PCB Data (excel file) and PFAS Data (excel file)",
      "description": "Analytical and field sampling data for each 2018-2019 NRSA Fish Tissue Study chemical contaminant are provided, along with a data dictionary that describes the contents of each data file.  All results for the fillet tissue concentrations are reported on a wet weight basis. All the fish fillet samples analyzed contained detectable levels of mercury and PCBs, and PFAS were detected in 95% of the fillet samples. \n\nThis dataset is associated with the following publication:\nStahl, L., B.D. Snyder, H.B. McCarty, T. Kincaid, A. Olsen, T.R. Cohen, and J. Healey. Contaminants in Fish from U.S. Rivers: Probability-Based National Assessments.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 861(25): 160557, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528508",
      "keyword": [
        "fish tissue",
        "Polychlorinated biphenyls (PCBs)",
        "Polyfluoroalkyl substances (PFAS)",
        "mercury",
        "contaminants",
        "perfluoroalkyl substances (PFAS)",
        "rivers"
      ],
      "contactPoint": {
        "fn": "Anthony Olsen",
        "hasEmail": "mailto:olsen.tony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/fish-tech/2018-2019-national-rivers-and-streams-assessment-fish-tissue-study#results",
          "accessURL": "https://www.epa.gov/fish-tech/2018-2019-national-rivers-and-streams-assessment-fish-tissue-study#results",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-11",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.160557"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS Water Quality Data",
      "description": "Several subsets of NARS data were used for illustrative purposes in creating this manuscript. \n\nThis dataset is associated with the following publication:\nDumelle, M., T. Kincaid, A. Olsen, and M. Weber. spsurvey: Spatial Sampling Design and Analysis in R.   Journal of Statistical Software. American Statistical Association, Alexandria, VA, USA, 105(3): 1-29, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528490",
      "keyword": [
        "Inclusion Probability",
        "Spatial Balance",
        "Generalized Random Tessellation Stratified Sample",
        "Design-Based Inference",
        "Parameter Estimation"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/spsurvey/tree/main/data",
          "accessURL": "https://github.com/USEPA/spsurvey/tree/main/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/spsurvey.manuscript/tree/main/data",
          "accessURL": "https://github.com/USEPA/spsurvey.manuscript/tree/main/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-13",
      "references": [
        "https://doi.org/10.18637/jss.v105.i03"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detroit 2022 Radionuclide transport stormwater data set",
      "description": "PCSWMM input file. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Via non-disclosure agreement with the Great Lakes Water Authority. Format: PSCWMM input file. \n\nThis dataset is associated with the following publication:\nMikelonis, A., J. Shireman, and K. Ratliff. Impact of model structure on radionuclide transport in urban stormwater.   ENVIRONMENTAL MODELLING AND SOFTWARE. Elsevier Science Ltd, New York, NY, USA, 160: 105602, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527887",
      "keyword": [
        "stormwater",
        "homeland security",
        "radiological disperal device"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2022-07-28",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2022.105602"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Premise Plumbing Water Age Study",
      "description": "Summary of simulated water age results associated with Monte Carlo simulations conducted on 3 real world homes. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., J. Minor, W. Platten, F. Shang, and R. Murray. Relative Water Age in Premise Plumbing Systems Using an Agent-Based Modeling Framework.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(4): 04023007, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526415",
      "keyword": [
        "Premise Plumbing",
        "modeling",
        "EPANET",
        "Water Age"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "House3 - PPS_output.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526415/House3%20-%20PPS_output.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "House 2 - PPS_output.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526415/House%202%20-%20PPS_output.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "House 1 - PPS_output.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526415/House%201%20-%20PPS_output.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureFile_Information.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526415/FigureFile_Information.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-01",
      "references": [
        "https://doi.org/10.1061/jwrmd5.wreng-5888"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for manuscript",
      "description": "The document contains metadata of the information presented in the manuscript. \n\nThis dataset is associated with the following publication:\nLucas, E., L. Mosesso, T. Roswall, Y. Yang, K. Scheckel, A. Shober, and G.S. Toor. X-ray absorption near edge structure spectroscopy reveals phosphate minerals at surface and agronomic sampling depths in agricultural Ultisols saturated with legacy phosphorus.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 308 part 2: 136288, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528431",
      "keyword": [
        "Phosphate Removal",
        "mineralogy",
        "XANES",
        "synchrotron speciation"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "Lucasetal_PhosphorusXASAgSoils Metadata.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528431/Lucasetal_PhosphorusXASAgSoils%20Metadata.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-12",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2022.136288",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9843306"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for ORD-047605",
      "description": "Attached document is metadata for the published manuscript. \n\nThis dataset is associated with the following publication:\nMayer, M.M., N.T. Basta, and K.G. Scheckel. Using phosphate amendments to reduce bioaccessible Pb in contaminated soils: A meta-analysis.   Frontiers in Soil Science. Frontiers, Lausanne,  SWITZERLAND, 2: 1028328, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528432",
      "keyword": [
        "phosphorus",
        "Bioaccessibility",
        "remediation",
        "lead"
      ],
      "contactPoint": {
        "fn": "Kirk Scheckel",
        "hasEmail": "mailto:scheckel.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "SDMP.FY22.176 Metadata Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528432/SDMP.FY22.176%20Metadata%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-12",
      "references": [
        "https://doi.org/10.3389/fsoil.2022.1028328",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890325"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All PCDDF, TOC, and Lipid Data",
      "description": "Sediment and Spider PCDDF Raw Data. \n\nThis dataset is associated with the following publication:\nBeaubien, G.B., D.P. Walters, D.M. White, R.R. Otter, K. Fritz, B. Crone, and M.A. Mills. Riparian Spiders: Sentinels of Polychlorinated Dibenzo-p-dioxin and Dibenzofuran-Contaminated Sediment.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 414-420, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527911",
      "keyword": [
        "Great Lakes Area of Concern",
        "remediation",
        "sentinel",
        "Dioxins and Furans"
      ],
      "contactPoint": {
        "fn": "Gale Beaubien",
        "hasEmail": "mailto:beaubien.gale@epa.gov"
      },
      "distribution": [
        {
          "title": "Sediment and Spider PCDDF Raw Data Supplement.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527911/Sediment%20and%20Spider%20PCDDF%20Raw%20Data%20Supplement.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-31",
      "references": [
        "https://doi.org/10.1002/etc.5531"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527911/documents/Data%20Dictionary%20ScienceHub.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for \"Limiting Wind-Induced Resuspension of Radioactively Contaminated Particles to Enhance First Responder, Early Phase Worker and Public Safety—Part 1\"",
      "description": "Data represented in the figures in the article. This dataset is not publicly accessible because: It is owned by non-EPA authors. It can be accessed through the following means: Contact non-EPA authors listed on publication. \r\n\r\nHadas Raveh-Amit, hadasa@nrcn.gov.il\r\nAvi Sharon, avish@nrcn.gov.il\r\nItzhak Katra, katra@bgu.ac.il. Format: Unknown. \n\nThis dataset is associated with the following publication:\nRaveh-Amit, H., A. Sharon, I. Katra, T. Stilman, S. Serre, J. Archer, and M. Magnuson. Limiting Wind-Induced Resuspension of Radioactively Contaminated Particles to Enhance First Responder, Early Phase Worker and Public Safety—Part 1.   Applied Sciences. MDPI, Basel,  SWITZERLAND, 12(5): 2463, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528530",
      "keyword": [
        "Radiological contamination",
        "Indoor outdoor decontamination",
        "containment/mitigation",
        "Contaminant persistence"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2022-02-26",
      "references": [
        "https://doi.org/10.3390/app12052463"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildfire and Public Drinking Water Datasets",
      "description": "These datasets contain the public drinking water contaminant violation, concentration data, wildfire data, and other supplementary datasets used to assess the impact of wildfire events on concentrations and violations.  There is data for nitrate, arsenic, volatile organic compounds (VOCs), and two disinfection byproducts (DBPs): total trihalomethanes (TTHM) and haloacetic acids (HAA5). \n\nThis dataset is associated with the following publication:\nPennino, M., S. Leibowitz, J. Compton, M. Beyene, and S. LeDuc. Wildfires can increase regulated nitrate, arsenic, and disinfection byproduct violations and concentrations in public drinking water supplies manuscript.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 804: 1-15, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522864",
      "keyword": [
        "drinking water",
        "Wildfires",
        "nitrate",
        "disinfection byproducts",
        "arsenic"
      ],
      "contactPoint": {
        "fn": "Michael Pennino",
        "hasEmail": "mailto:pennino.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ofmpub.epa.gov/apex/sfdw/f?p=108:1:0::NO::P1_REPORT:WS",
          "accessURL": "https://ofmpub.epa.gov/apex/sfdw/f?p=108:1:0::NO::P1_REPORT:WS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.mtbs.gov/",
          "accessURL": "https://www.mtbs.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.cdc.gov/nceh/tracking/",
          "accessURL": "https://www.cdc.gov/nceh/tracking/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-24",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.149890",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_CONC_BURN_HAA5_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_CONC_BURN_As_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_CONC_BURN_TTHM_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_CONC_BURN_NO3_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_CONC_BURN_NO3_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/Metadata_Pennino_Wildfire_DrinkingWater_2020.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_CDC_HAA5.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_CDC_As_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_CDC_NO3_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_CDC_NO3_SW.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_CDC_TTHM.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_As_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_HAA5.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_NO3_GW.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_NO3_SW.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_TTHM.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/noburn_cats_SDWIS_VOCs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_raw_data_concentration_all_Arsenic.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_As_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_HAA5_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_NO3_gw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_NO3_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_TTHM_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_VIOL_BURN_VOC_sw.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_raw_data_concentration_all_TTHM.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_raw_data_violations_MCL_ALL_Contaminants_Single_ActiveInactive_2019Q1.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/CDC_raw_data_concentration_all_HAA5.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/SDWIS_raw_data_violations_MCL_ALL_Contaminants_Average_ActiveInactive_2019Q1.csv"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522864/documents/Data_Dictionary_Pennino_Wildfire_DrinkingWater_2020.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "PCB Noncancer Effects Evidence Map",
      "description": "Supporting data for the peer reviewed manuscript \"A systematic evidence map for the evaluation of noncancer health effects and exposures to polychlorinated biphenyl mixtures\" and the accompanying government report \"A Systematic Evidence Map of Noncancer Health Endpoints and Exposures to Polychlorinated Biphenyl (PCB) Mixtures\". \n\nThis dataset is associated with the following publications:\nCarlson, L., K. Christensen, S. Sagiv, P. Rajan, C. Klocke, P. Lein, E. Coffman, R. Shaffer, E. Yost, X. Arzuaga Andino, P. Factor-Litvak, A. Sergeev, M. Toborek, M. Bloom, J. Trgovcich, T. Jusko, L. Robertson, J. Meeker, A. Keating, R. Blain, R. Silva, S. Snow, C. Lin, K. Shipkowski, B. Ingle, and G. Lehmann. A Systematic Evidence Map for The Evaluation of Noncancer Health Effects and Exposures to Polychlorinated Biphenyl Mixtures.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 220: 115148, (2023).\nCarlson, L., G. Lehmann, E. Yost, B. Ingle, E. Coffman, K. Christensen, R. Shaffer, J. Trgovcich, S. Sagiv, P. Rajan, C. Klocke, P. Lein, A. Sergeev, M. Bloom, M. Toborek, L. Robertson, T. Jusko, J. Meeker, A. Keating, C. Lin, K. Shipkowski, and R. Silva. Systematic Evidence of Noncancer Health Effects of PCB Mixtures. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526314",
      "keyword": [
        "systematic evidence map",
        "hazard identification",
        "Polychlorinated Biphenyl",
        "Mixture",
        "systematic review"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hawc.epa.gov/assessment/100500282/",
          "accessURL": "https://hawc.epa.gov/assessment/100500282/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0013935122024756#mmc1",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0013935122024756#mmc1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCB SEM supplemental word file.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526314/PCB%20SEM%20supplemental%20word%20file.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCB SEM Endnote files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526314/PCB%20SEM%20Endnote%20files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://iris.epa.gov/Document/&deid=357285",
          "accessURL": "https://iris.epa.gov/Document/&deid=357285",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCB Supplementary File 1_Environmental Research journal article.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526314/PCB%20Supplementary%20File%201_Environmental%20Research%20journal%20article.xlsx",
          "mediaType": "application/x-tika-ooxml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCB Supplementary File 1_EPA600R22201F.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526314/PCB%20Supplementary%20File%201_EPA600R22201F.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-15",
      "references": [
        "https://doi.org/10.1016/j.envres.2022.115148",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013199"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metal composition of particle emissions from 3D printing",
      "description": "Data used to generate Table 2 and 3 in the manuscript Metal compositions of particle emissions from material extrusion 3D\nprinting: Emission sources and indoor exposure modeling, https://doi.org/10.1016/j.scitotenv.2022.160512. \n\nThis dataset is associated with the following publication:\nZhang, Q., R.J. Weber, T.P. Luxton, D.M. Peloquin, E.J. Baumann, and M.S. Black. Metal compositions of particle emissions from material extrusion 3D printing: Emission sources and indoor exposure modeling.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 860: 160512, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528553",
      "keyword": [
        "Aerosol Emission",
        "3D printing",
        "indoor air quality",
        "Metal Exposure"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Metal Compostion of particle emissions from 3D printing Sci Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528553/Metal%20Compostion%20of%20particle%20emissions%20from%203D%20printing%20Sci%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.160512"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variability in the Inorganic composition of 3D printer filaments",
      "description": "The data provided in the spreadsheet was used to generate Figures 1, 2 and 3 in the manuscript Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing: https://doi.org/10.1007/s42452-022-05221-7. \n\nThis dataset is associated with the following publication:\nPeloquin, D.M., L.N. Rand, E.J. Baumann, A. Gitipour, J. Matheson, and T.P. Luxton. Variability in the inorganic composition of colored acrylonitrile–butadiene–styrene and polylactic acid filaments used in 3D printing.   Applied Sciences. MDPI, Basel,  SWITZERLAND, 5: 10, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528579",
      "keyword": [
        "Fused Filament Fabrication",
        "Metal Speciation",
        "Children's Environmental Health",
        "Inorganic Composition",
        "Digestion Methods"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Sccience Hub Data for Compostion of 3d filamnets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528579/Sccience%20Hub%20Data%20for%20Compostion%20of%203d%20filamnets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-05",
      "references": [
        "https://doi.org/10.1007/s42452-022-05221-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ion Exchange Column Model, Inorganic Anions Dataset (Sep 2022)",
      "description": "An ion exchange column model was developed and validated for inorganic ions to understand potential unintended consequences during PFAS treatment. \n\nThis dataset is associated with the following publication:\nSmith, S., D. Wahman, E. Kleiner, G. Abulikemu, E. Stebel, B. Gray, B. Datsov, B. Crone, R. Taylor, E. Womack, C. Gastaldo, G. Sorial, D. Lytle, J. Pressman, and L. Haupert. Anion Exchange Resin and Inorganic Anion Parameter Determination for Model Validation and Evaluation of Unintended Consequences during PFAS Treatment.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 3(2): 576-587, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527962",
      "keyword": [
        "anion exchange",
        "nitrate",
        "sulfate",
        "bicarbonate",
        "PFAS",
        "homogeneous surface diffusion model",
        "selectivity",
        "corrosion control"
      ],
      "contactPoint": {
        "fn": "Samantha Smith",
        "hasEmail": "mailto:smith.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "Smith_SciHub_AEX-Inorganics (Sep 2022).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527962/Smith_SciHub_AEX-Inorganics%20%28Sep%202022%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-21",
      "references": [
        "https://doi.org/10.1021/acsestwater.2c00572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WetlandConnectivity. v1.0",
      "description": "A CONUS-wide dataset containing this information is available. For each of 59 hydrologic sub-regions of the CONUS, the dataset consists of three components: (1) A raster that contains NHDPlusV2 streams, NLCD water pixels, and the flowpaths that connect wetlands and downstream waters. (2) A wetland raster that contains the WetId of each wetland, where each WetId corresponds to a single stand-alone wetland pixel or a group of adjoining wetland pixels. Note that WetIds are not globally unique, but are unique within each of the 59 sub-units of NHDPlusV2 Hydrologic Regions (i.e., Raster Processing Units – RPUs). Within these RPUs, each WetId contains only a single pour point. (3) A table of wetland characteristics indexed by WetId, including wetland area, and wetland hydrologic connectivity class.A CONUS-wide dataset containing this information is available. For each of 59 hydrologic sub-regions of the CONUS, the dataset consists of three components: (1) A raster that contains NHDPlusV2 streams, NLCD water pixels, and the flowpaths that connect wetlands and downstream waters. (2) A wetland raster that contains the WetId of each wetland, where each WetId corresponds to a single stand-alone wetland pixel or a group of adjoining wetland pixels. Note that WetIds are not globally unique, but are unique within each of the 59 sub-units of NHDPlusV2 Hydrologic Regions (i.e., Raster Processing Units – RPUs). Within these RPUs, each WetId contains only a single pour point. (3) A table of wetland characteristics indexed by WetId, including wetland area, and wetland hydrologic connectivity class.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528587",
      "keyword": [
        "CONUS",
        "stream water quality",
        "watershed management",
        "Wetland connectivity classification"
      ],
      "contactPoint": {
        "fn": "Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov"
      },
      "distribution": [
        {
          "title": "README.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/README.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ScienceHub-WetlandConnectivity-Data-Dictionary-2022.02.16.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/ScienceHub-WetlandConnectivity-Data-Dictionary-2022.02.16.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "topology-wetland-paths.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/topology-wetland-paths.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RPU.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/RPU.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WetConnectMetrics_nlcd2011_2022.02.16.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/WetConnectMetrics_nlcd2011_2022.02.16.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "nhd-streams-nlcd-water.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/nhd-streams-nlcd-water.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "unique-wetlands.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/unique-wetlands.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "wetland-paths.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528587/wetland-paths.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Harmonized cross-species assessment of endocrine and metabolic disruptors by Ecotox FACTORIAL assay",
      "description": "This high-throughput method will be useful in rapid evaluation of chemicals for nuclear receptor activity for multiple species of interest. The modular design of the assay also permits ready development of new versions of the assay targeting any species with a nuclear receptor having a known DNA sequence. Underlying data and supplemental information available from Attagene. This dataset is not publicly accessible because: The data were not collected by EPA and are hosted external to the agency. EPA role limited to interpreting and describing outcome of data generated. It can be accessed through the following means: Contact the corresponding author Sergei S. Makarov at Attagene, Inc., PO Box 12054, Research Triangle Park, NC 27709. Email smak@attagene.com. Format: Not available. \n\nThis dataset is associated with the following publication:\nMedvedev, A., L. Medvedeva, E. Martsen, M. Moeser, K. Gorman, B. Lin, B. Blackwell, D. Villeneuve, K. Houck, K. Crofton, and S. Makarov. Harmonized Cross-Species Assessment of Endocrine and Metabolic Disruptors by Ecotox FACTORIAL Assay.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(19): 12142-12153, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518707",
      "keyword": [
        "multispecies testing",
        "nuclear receptor",
        "high-throughput toxicity testing",
        "endocrine disruptor"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-26",
      "references": [
        "https://doi.org/10.1021/acs.est.0c03375"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate History Extensions",
      "description": "This feature class contains yearly (2000-2019) natural hazard exposure estimates (percent area) at the county-level for the entire US (including AK, HI, and PR). Secondary data sources were used to collect both tabular and spatial hazard exposure information related to hurricanes, tropical storms, tornadoes, landslides, wildfires, drought, coastal and inland flooding, and earthquakes. Data origin, as well as information regarding temporal and geographic coverage, and methods for calculating exposure estimates are discussed later in this document on a per-hazard basis. Candidate secondary data was reviewed for accessibility, temporal and spatial scale, and data formatting. Target data acceptance criteria: open access, per year basis, and vector or raster data presentation. When multiple data sources were available for the same natural hazard, data sets were compared for comparability and the source most likely to continue publishing data was selected. In cases where data did not fully meet acceptance criteria, the best available data was used for further analysis. \n\nThis dataset is associated with the following publication:\nSummers, J., A. Lamper, C. Mcmillion, and L. Harwell. Observed Changes in the Frequency, Intensity, and Spatial Patterns of Nine Natural Hazards in the United States from 2000 to 2019.   Sustainability. MDPI, Basel,  SWITZERLAND, 14(7): 4158, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527780",
      "keyword": [
        "climate change",
        "Wildfires",
        "natural hazards",
        "time series",
        "Hurricanes",
        "resilience"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "NatHazHistories_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527780/NatHazHistories_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NatHazHistories_Dataset.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527780/NatHazHistories_Dataset.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NatHazHistories_DataDictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527780/NatHazHistories_DataDictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-26",
      "references": [
        "https://doi.org/10.3390/su14074158",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA 2018-2019 National Rivers and Streams Assessment Diatom Diversity and Phosphorus Study",
      "description": "Raw data associated with EPA 2018-2019 National Rivers and Streams Assessment Diatom Diversity and Phosphorus Study. \n\nThis dataset is associated with the following publication:\nYuan, L., R. Mitchell, A. Pollard, C. Nietch, E. Pilgrim, and N. Smucker. Understanding the effects of phosphorus on diatom richness in rivers and streams using taxon–environment relationships.   FRESHWATER BIOLOGY. Blackwell Publishing, Malden, MA, USA, 68(3): 473-486, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528115",
      "keyword": [
        "nutrients",
        "diversity",
        "diatoms",
        "rivers",
        "bioassessment",
        "streams",
        "DNA metabarcoding"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Diatom_TP_cond_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528115/Diatom_TP_cond_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-07",
      "references": [
        "https://doi.org/10.1111/fwb.14040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LMR watershed temporal DNA metabarcoding 2016 study",
      "description": "LMR watershed temporal DNA metabarcoding 2016 study. \n\nThis dataset is associated with the following publication:\nSmucker, N., E. Pilgrim, H. Wu, C. Nietch, J. Darling, M. Molina, B. Johnson, and L. Yuan. Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 831: 154960, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524367",
      "keyword": [
        "biomonitoring",
        "bioassessment",
        "Bacteria",
        "Agriculture",
        "nutrients",
        "nitrogen",
        "indicators",
        "diatoms",
        "watersheds",
        "water quality",
        "phosphorus"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "LMR_rbcL_data_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524367/LMR_rbcL_data_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LMR_16S_data_final.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524367/LMR_16S_data_final.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-13",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.154960",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "River-cyanobacteria-datasets",
      "description": "Sequence data are used for cyanobacterial community and toxic species analysis. \n\nThis dataset is associated with the following publication:\nLinz, D., N. Sienkiewicz, I. Struewing, E.A. Stelzer, J.L. Graham, and J. Lu. Metagenomic mapping of cyanobacteria and potential cyanotoxin producing taxa in large rivers of the United States.   Scientific Reports. Nature Publishing Group, London,  UK, 13: 2806, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526061",
      "keyword": [
        "qPCR/RT-qPCR",
        "Microcystis",
        "cyanobacteria",
        "microcystin",
        "River"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "River-cyanobacteria-datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526061/River-cyanobacteria-datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-24",
      "references": [
        "https://doi.org/10.1038/s41598-023-29037-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935515"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combustion of C1 and C2 PFAS: Figures 1 and 2",
      "description": "This dataset includes values used to generate Figure 1, 2, and 3 in the manuscript. Figure 1 is a diagram of the incinerator with residence times and associated temperatures. Figure 2 is a temperature versus residence time plot for each of the firing rates. Figure 3 is FTIR data used to generate time series plots of concentrations. \n\nThis dataset is associated with the following publication:\nKrug, J., P. Lemieux, C. Lee, J. Ryan, P. Kariher, E. Shields, L. Wickersham, M. Denison, K. Davis, D. Swensen, R. Burnette, J. Wendt, and W. Linak. Combustion of C1 and C2 PFAS: Kinetic Modeling and Experiments, February 2022.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 72(3): 256-270, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522934",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "incineration",
        "surrogates"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures 1 and 2_scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522934/Figures%201%20and%202_scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3 Dataset 201210.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522934/Figure%203%20Dataset%20201210.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-08",
      "references": [
        "https://doi.org/10.1080/10962247.2021.2021317"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522934/documents/Data%20Dictionary_C1%20and%20C2%20Surrogates.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "An ontology for developmental processes and toxicities of neural tube closure",
      "description": "The systems map described in this manuscript for neurulation will set the stage for constructing mathematical models and computer simulation of neural tube closure for human-relevant AOPs and predictive toxicology of neural tube defects such as spina bifida. This dataset is not publicly accessible because: The data for the systems map has been obtained from comprehensive literature review. It can be accessed through the following means: Contact the corresponding author Harm J. Heusinkveld, Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), P.O.Box 1, 3720BA, Bilthoven, The Netherlands. Email: harm.heusinkveld@rivm.nl. Format: Not availabie. \n\nThis dataset is associated with the following publication:\nHeusinkveld, H., Y. Staal, N. Baker, G. Daston, T. Knudsen, and A. Piersma. An ontology for developmental processes and toxicities of neural tube closure.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 99: 160-167, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518767",
      "keyword": [
        "retinoic acid",
        "neural tube defects",
        "virtual embryo",
        "Predictive Toxicology",
        "developmental neurotoxicity",
        "systems biology"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-26",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2020.09.002"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Input-Output Data Sets Used in the Evaluation of the Two-Layer Soil Moisture and Flux Model  ",
      "description": "The Excel file contains the model input-out data sets that where used to evaluate the two-layer soil moisture and flux dynamics model. The model is original and was developed by Dr. Hantush by integrating the well-known Richards equation over the root layer and the lower vadose zone. The input-output data are used for: 1) the numerical scheme verification by comparison against HYDRUS model as a benchmark; 2) model validation by comparison against real site data; and 3) for the estimation of model predictive uncertainty and sources of modeling errors. \n\nThis dataset is associated with the following publication:\nHe, J., M.M. Hantush, L. Kalin, and S. Isik. Two-Layer numerical model of soil moisture dynamics: Model assessment and Bayesian uncertainty estimation.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 613 part A: 128327, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528541",
      "keyword": [
        "volumetric soil moisture content",
        "water flux",
        "precipitation",
        "temperature",
        "wind speed",
        "relative humedity",
        "Potential evapotranspiration",
        "bare soil evaporation",
        "Plant Transpiration",
        "Soil Hydraulic Connectivity",
        "soil porosity",
        "van Genuchten soil characteristic parameters",
        "HYDRUS (2D/3D)",
        "soil depth",
        "Solar Radiation",
        "Simulation",
        "measurement",
        "observation",
        "model"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_2LAYER_MODEL_ASSESSMENT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528541/ScienceHub_2LAYER_MODEL_ASSESSMENT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-07",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2022.128327"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "H stipulacea phytomyxid infection biomass density data",
      "description": "Halophila stipulacea biomass and density data relating to phytomyxid infection. \n\nThis dataset is associated with the following publication:\nKaldy, J., C. Sullivan, A. Dieppa, I. Cappielo Cosme, M. Orizondo Lugo, and M. Schiebout. First record of Phytomyxid infection of the non-native seagrass Halophila stipulacea in Puerto Rico.   BOTANICA MARINA. Walter de Gruyter GmbH, Berlin,  GERMANY,  bot-2022-0074, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528289",
      "keyword": [
        "seagrass",
        "Puerto Rico",
        "Phytomyxid",
        "Halophila stipulacea"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Kaldy etal_Hstip phytomyxid infection_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528289/Kaldy%20etal_Hstip%20phytomyxid%20infection_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-18",
      "references": [
        "https://doi.org/10.1515/bot-2022-0074"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "biofilter characterization data",
      "description": "water quality and media data from aerobic groundwater biofilters. \n\nThis dataset is associated with the following publication:\nKeithley, A., H. Ryu, V. Gomez-Alvarez, S. Harmon, C. Bennett-Stamper, D. Williams, and D. Lytle. Comprehensive characterization of aerobic groundwater biotreatment media.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 230: 119587, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527947",
      "keyword": [
        "manganese",
        "ammonia",
        "Biofilter",
        "biological treatment",
        "Drinking water (Groundwater)"
      ],
      "contactPoint": {
        "fn": "Daniel Williams",
        "hasEmail": "mailto:williams.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527947/SciHub%20entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-02",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.119587"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variability of Microcystin-LR Standards Available from Seven Commercial Vendors",
      "description": "Analytical chemistry and toxicological assessment of microcystin-LR toxin standards from seven vendors; a comparison of mass, purity and toxicity based on label mass. \n\nThis dataset is associated with the following publication:\nLang, J., D. Jenkins-Hill, N. Chernoff, J. Schmid, M. Strynar, J. McCord, C. Rosal, and T.L. Thanh. Variability of Microcystin-LR Standards Available from Seven Commercial Vendors.   Toxins. MDPI, Basel,  SWITZERLAND, 14(10): 705, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524402",
      "keyword": [
        "purity",
        "Microcystin-LR",
        "cyanotoxin standards",
        "Comparison"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "Vendor Study Metadata for Rapid.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524402/Vendor%20Study%20Metadata%20for%20Rapid.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-15",
      "references": [
        "https://doi.org/10.3390/toxins14100705",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611723"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cumulative maternal and neonatal effects of combined exposure to a mixture of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) during pregnancy in the Sprague-Dawley rat data set",
      "description": "Data set contains summary data (mean, standard error, sample size) for all measured endpoints from all experiments reported in the published manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, E. Medlock Kakaley, A. Dixon, D. Jenkins-Hill, J. McCord, M. Strynar, J. Ford, and L. Gray. Cumulative maternal and neonatal effects of combined exposure to a mixture of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) during pregnancy in the Sprague-Dawley rat.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, (107631): 1, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528311",
      "keyword": [
        "Children's Environmental Health",
        "in vivo",
        "PFAS",
        "health effects",
        "Drinking water contaminants",
        "Adverse Outcome Pathways (AOPs)",
        "chemical mixtures",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S016041202200558X-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S016041202200558X-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-16",
      "references": [
        "https://doi.org/10.1016/j.envint.2022.107631",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944680"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528311/documents/ConleyJustin_D-9w16_Dataset_Dictionary_2022-12-1.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "WH Modeling Input and output data  ",
      "description": "The data are comprised of input and output data from Machine Learning models that were developed to predict watershed health (WH) values in HUC-10 sub-watersheds within three major Midwest river basins. The input data included timeseries of hydro-meteorological and reconstructed WQ parameters (sediment, nitrogen, and phosphorus) as well as GIS shape files of watershed attributes (soil, landcover/land use, geomorphology, drainage classes, fertilizer sale data, etc. ). The output data is ensemble-model estimated annual WH values in HUC-10 sub-watersheds within the three river basins. The ensemble-model predicted WH values are derived from WH values obtained from three trained and validated machine learning models. \n\nThis dataset is associated with the following publication:\nMallya, G., M.M. Hantush, and R.S. Govindaraju. A Machine Learning Approach to Predict Watershed Health Indices for Sediments and Nutrients at Ungauged Basins.   WATER. MDPI, Basel,  SWITZERLAND, 15(3): 586, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528457",
      "keyword": [
        "suspended sediment",
        "Nitrogen and Co-pollutants",
        "Phosphorus and Nitrogen",
        "Watershed Health"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ezD4762735_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528457/ezD4762735_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-06-14",
      "references": [
        "https://doi.org/10.3390/w15030586"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The metagenome sequencing data have been deposited in the European Nucleotide Archive (ENA).",
      "description": "The raw sequencing data for this study have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under accession number PRJEB40814 with the following BioSample numbers: SAMEA7465213 (sample DWDS A1), SAMEA7465214 (DWDS A2), SAMEA7465217 (DWDS B1), SAMEA7465218 (DWDS B2), SAMEA7465220 (DWDS C1), SAMEA7465221 (DWDS C2), SAMEA7465222 (DWDS D1), SAMEA7465223 (DWDS D2), SAMEA7465226 (DWDS E1), and SAMEA7465227 (DWDS E2). \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., S. Siponen, A. Kauppinen, A. Hokajarvi , A. Tiwari, A. Sarekoski, I.T. Miettinen, E. Torvinen, and T. Pitkanen. A comparative analysis employing a gene- and genome-centric metagenomic approach reveals changes in composition, function, and activity in waterworks with different treatment processes and source water in Finland.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 229: 119495, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528522",
      "keyword": [
        "drinking water treatment process",
        "disinfection",
        "metagenomics",
        "Drinking water distribution system"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465213",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465213",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465214",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465214",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465217",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465217",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465218",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465218",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465220",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465220",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465221",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465221",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465222",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465222",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465223",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465223",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465226",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465227",
          "accessURL": "https://www.ebi.ac.uk/ena/browser/view/SAMEA7465227",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-20",
      "references": [
        "https://doi.org/10.1016/j.watres.2022.119495"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PRASA coral survey data",
      "description": "The data were collected by Puerto Rico Aquaduct and Sewer Authority between 1999-2013 and provide the percent coverage of coral taxa at survey sites described in the associated manuscript. Data were used to determine if any significant differences in coral coverage could be detected in sites based on proximity to waste water treatment plant outflow pipes. \n\nThis dataset is associated with the following publication:\nSantavy, D., C. Horstmann, E. Huertas, and S. Raimondo. Comparison of coral reef communities in proximity to ocean effluent pipes off the north coast of Puerto Rico.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 195: 162, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524674",
      "keyword": [
        "Coral Reef",
        "ecosystem condition",
        "Sewage Effluent",
        "Puerto Rico"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "PRASA dataset_final 02-08-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524674/PRASA%20dataset_final%2002-08-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-23",
      "references": [
        "https://doi.org/10.1007/s10661-022-10756-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for analysis of ambient fine particle concentrations in Jakarta, Indonesia",
      "description": "Data are publicly available and have been downloaded from the AirNow website. Data on AirNow website: \n\nhttps://www.airnow.gov/international/us-embassies-and-consulates/#Indonesia$Jakarta_South\nhttps://www.airnow.gov/international/us-embassies-and-consulates/#Indonesia$Jakarta_Central. \n\nThis dataset is associated with the following publication:\nSarwar, G., B. Henderson, R. Baldauf, and P. Gupta. Analysis of ambient fine particle concentrations in Jakarta, Indonesia.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  1-5, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524716",
      "keyword": [
        "fine particulate matter (PM2.5)"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.airnow.gov/international/us-embassies-and-consulates/",
          "accessURL": "https://www.airnow.gov/international/us-embassies-and-consulates/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-08-13",
      "references": [
        "https://airandwmapa.sharepoint.com/sites/AWMA_Website/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FAWMA%5FWebsite%2FShared%20Documents%2Fem%2Ddo%20not%20delete%2F2022%2FEM%20July%202022%2Fsarwar%2Epdf&parent=%2Fsites%2FAWMA%5FWebsit"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Survey Results",
      "description": "Survey results from University of Stirling. This dataset is not publicly accessible because: University of Stirling developed the survey and keeps the results. It can be accessed through the following means: Contact University of Stirling. Format: University of Stirling developed the survey and keeps the results.\r\nGroup on Earth Observation AquaWatch distributed the survey and aggregated results.\r\nSchool of Wine & Spirits Business, Burgundy School of Business - Université Bourgogne Franche-Comté conducted statistical analysis. \n\nThis dataset is associated with the following publication:\nAgnoli, L., E. Urquhart, N. Georgantzis, B. Schaeffer, R. Simmons, B. Hoque, M.B. Neely, C. Neil, J. Oliver, and A. Tyler. Perspectives on user engagement of satellite Earth observation for water quality management.   Technological Forecasting and Social Change. ELSEVIER, AMSTERDAM,  HOLLAND, 189: 122357, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524688",
      "keyword": [
        "technology transfer",
        "management",
        "water quality",
        "knowledge transfer",
        "satellite remote sensing",
        "Earth observation",
        "Tragedy of the Commons"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2022-01-20",
      "references": [
        "https://doi.org/10.1016/j.techfore.2023.122357"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mussel shell weight, Mussel survival rate",
      "description": "Mussel shell weight, Mussel survival rate. This dataset is not publicly accessible because: Data is the property of Dr. Sean Collins, Division of Plant & Soil Sciences, Davis College of Agriculture, Natural Resources and Design, West Virginia University. 304-293-3793. sean.collins@mail.wvu.edu. It can be accessed through the following means: Data is the property of Dr. Sean Collins, Division of Plant & Soil Sciences, Davis College of Agriculture, Natural Resources and Design, West Virginia University. 304-293-3793. sean.collins@mail.wvu.edu. Format: Data is the property of Dr. Sean Collins, Division of Plant & Soil Sciences, Davis College of Agriculture, Natural Resources and Design, West Virginia University. 304-293-3793. sean.collins@mail.wvu.edu. \n\nThis dataset is associated with the following publication:\nZare Shahraki, M., E. Ebrahimi Dorche, A. Bruder, J. Flotemersch, K. Blocksom, and D. Banaduc. Fish Species Composition, Distribution and Community Structure in Relation to Environmental Variation in a Semi-Arid Mountainous River Basin, Iran.   WATER. MDPI, Basel,  SWITZERLAND, 14(14): 2226, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526069",
      "keyword": [
        "Ecologic/conservation and economic important speci",
        "natural habitats vaiability",
        "fish",
        "human impact",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [],
      "modified": "2022-03-29",
      "references": [
        "https://doi.org/10.3390/w14142226",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9836396"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Improved mapping of coastal salt marsh habitat change at Barnegat Bay (NJ, USA) using object-based image analysis of high-resolution aerial imagery_data",
      "description": "Data for the classification of coastal land-cover of Barnegat Bay (Fig. 1) were downloaded from the USGS Earth Resources Observation and Science (EROS) Center via the USGS Earth Explorer website. Portions of this dataset are inaccessible because: N/A See above. They can be accessed through the following means: N/A See above. Format: N/A See above. \n\nThis dataset is associated with the following publication:\nKrause, J.R., A.J. Oczkowski, and E.B. Watson. Improved mapping of coastal salt marsh habitat change at Barnegat Bay (NJ, USA) using object-based image analysis of high-resolution aerial imagery.   Remote Sensing Applications: Society and Environment. Elsevier B.V., Amsterdam,  NETHERLANDS, 29(January 2023): 100910, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526481",
      "keyword": [
        "Salt marsh",
        "nitrogen",
        "loss",
        "estuary",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://earthexplorer.usgs.gov/",
          "accessURL": "https://earthexplorer.usgs.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-27",
      "references": [
        "https://doi.org/10.1016/j.rsase.2022.100910"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for APNEP Nitrogen Indicator Report",
      "description": "Publicly available data sets provided in the links were subsetted for the APNEP region and plotted for the report.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527691",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Air monitoring",
        "air quality",
        "Castnet",
        "CMAQ",
        "NADP"
      ],
      "contactPoint": {
        "fn": "Donna Schwede",
        "hasEmail": "mailto:schwede.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://nadp.slh.wisc.edu/data/ntn/",
          "accessURL": "https://nadp.slh.wisc.edu/data/ntn/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/networks/ammonia-monitoring-network/",
          "accessURL": "https://nadp.slh.wisc.edu/networks/ammonia-monitoring-network/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/castnet",
          "accessURL": "https://www.epa.gov/castnet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/committees/tdep/tdepmaps/",
          "accessURL": "https://nadp.slh.wisc.edu/committees/tdep/tdepmaps/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/cmaq/equates",
          "accessURL": "https://www.epa.gov/cmaq/equates",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emissions of Condensable Organic Aerosols Japan Data",
      "description": "Data is not provided for this entry as it was developed by a non-Federal institution outside the United States. It is available upon request from Dr. Yu Morino (morino.yu@nies.go.jp).\n\nData used to support analysis and conclusions in the manuscript include (1) surveys of stationary source emissions in Japan, (2) emission inventory data for all anthropogenic and biogenic sources relevant for POA emissions and SOA precursor emissions, and (3) CMAQ model output data for scenarios simulated for Japan for July 2 - August 10, 2019. Portions of this dataset are inaccessible because: This data is too large, and is maintained by the external lead author's laboratory. They can be accessed through the following means: Interested parties should contact Dr. Yu Morino at the National Institute for Environmental Studies in Japan (morino.yu@nies.go.jp). Please request the data supporting the article \"Emissions of Condensable Organic Aerosols from Stationary Combustion Sources over Japan\". Format: The data generated by this research study are in large binary file formats (> 100 GBs) and not appropriate for sharing via ScienceHub. They are available to interested parties via communication with the corresponding author. \n\nThis dataset is associated with the following publication:\nMorino, Y., S. Chatani, Y. Fujitani, K. Tanabe , B. Murphy, S. Jathar, K. Takahashi, K. Sato, K. Kumagai,, and S. Saito. Emissions of Condensable Organic Aerosols from Stationary Combustion Sources over Japan.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 289: 119319, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526393",
      "keyword": [
        "particulate",
        "air quality",
        "Condensable PM",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S1352231022003843",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S1352231022003843",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-08-05",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119319"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Southern toad population projections",
      "description": "Environmental and demographic information used in population projections. \n\nThis dataset is associated with the following publication:\nAwkerman, J., and C. Greenberg. Projected Climate and Hydroregime Variability Constrain Ephemeral Wetland-Dependent Amphibian Populations in Simulations of Southern Toads.   Ecologies. MDPI, Basel,  SWITZERLAND, 3(2): 235-248, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524776",
      "keyword": [
        "pesticide",
        "ephemeral wetland",
        "southern toad",
        "Population",
        "amphibian",
        "climate",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Jill Awkerman",
        "hasEmail": "mailto:awkerman.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.srs.fs.usda.gov/pubs/ja/2015/ja_2015_greenberg_001.pdf",
          "accessURL": "https://www.srs.fs.usda.gov/pubs/ja/2015/ja_2015_greenberg_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0147651317307960?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0147651317307960?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-15",
      "references": [
        "https://doi.org/10.3390/ecologies3020018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Landfill Gas Condensate Data",
      "description": "PFAS content of Landfill Gas Condensate. This dataset is not publicly accessible because: Data were generated at and owned by the University of Florida.  ORD was only involved in the analysis and writing of the manuscript. It can be accessed through the following means: contact the study's corresponding author Timothy Townsend at ttown@ufl.edu. Format: Data were generated at and owned by the University of Florida.  ORD was only involved in the analysis and writing of the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527735",
      "keyword": [
        "PFAS",
        "Gas Condensate",
        "Landfill",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [],
      "modified": "2022-07-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chapel Hill and Missoula Chamber Data sets for T640 Artifact Manuscript",
      "description": "Chapel Hill, NC and Missoula, MT chamber data used in generating the manuscript titled: Summary of PM2.5 Measurement Artifacts Associated with the Teledyne T640 PM Mass Analyzer Under Controlled Chamber Experimental Conditions Using Polydisperse Ammonium Sulfate Aerosols and Biomass Smoke. \n\nThis dataset is associated with the following publication:\nLong, R., S. Urbanski, E. Lincoln, M. Colon, S. Kaushik, J. Krug, R. Vanderpool, and M. Landis. Summary of PM2.5 Measurement Artifacts Associated with the Teledyne T640 PM Mass Monitor Under Controlled Chamber Experimental Conditions Using Polydisperse Ammonium Sulfate Aerosols and Biomass Smoke..   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  na, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527948",
      "keyword": [
        "particulate matter (PM)",
        "smoke",
        "Air monitoring",
        "Artifact"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "FSL_Chamber_Study_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527948/FSL_Chamber_Study_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chapel_Hill_Chamber_Study_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527948/Chapel_Hill_Chamber_Study_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-14",
      "references": [
        "https://doi.org/10.1080/10962247.2023.2171156"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildland Fire Smoke Alters the Composition, Diversity, and Potential Atmospheric Function of Microbial Life in the Aerobiome",
      "description": "Raw FASTQ data representing wildland fire smoke plume microbiome. \n\nThis dataset is associated with the following publication:\nKobziar, L., D. Vuono, R. Moore, B. Christner, T. Dean, D. Betancourt, A. Watts, J. Aurell, and B. Gullett. Wildland Fire Smoke Alters the Composition, Diversity, and Potential Atmospheric Function of Microbial Life in the Aerobiome.   International Society for Microbial Ecology. Nature Publishing Group, London,  UK,  na, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528386",
      "keyword": [
        "pyroaerobiology",
        "wildfire",
        "Smoke Emissions",
        "Microbial ecology"
      ],
      "contactPoint": {
        "fn": "Timothy Dean",
        "hasEmail": "mailto:dean.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA793272",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA793272",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-04",
      "references": [
        "https://www.sciencedirect.com/science/article/abs/pii/S1001074222002273?via%3Dihub"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VCPy data for \"Secondary Organic Aerosol Formation from 1 Volatile Chemical Product 2 Emissions: Parameters and Contributions to Anthropogenic Aerosol\"",
      "description": "VCPy predicts organic emission from volatile chemical products. Data here includes year 2017 emissions by sub product use category (sub PUC) and total for the United States. In addition, the VCPy model code is linked.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528469",
      "keyword": [
        "secondary organic aerosol (SOA)",
        "oxidation",
        "volatile chemical products (VCPs)",
        "VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/VCPy/blob/main/output/emissions_by_subpuc/2017/summary_by_subpuc_2017.csv",
          "accessURL": "https://github.com/USEPA/VCPy/blob/main/output/emissions_by_subpuc/2017/summary_by_subpuc_2017.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/VCPy/blob/main/output/emissions_by_subpuc/2017/TOTAL_summary_2017.csv",
          "accessURL": "https://github.com/USEPA/VCPy/blob/main/output/emissions_by_subpuc/2017/TOTAL_summary_2017.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/VCPy",
          "accessURL": "https://github.com/USEPA/VCPy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CRSI Data",
      "description": "Cumulative Resilience Screening Tool data. \n\nThis dataset is associated with the following publication:\nSummers, J., A. Lamper, C. Mcmillion, and L. Harwell. Observational Verification of the Cumulative Resilience Screening Index (CRSI) Using Hurricanes, Inland Floods, and Wildfires From 2016 to 2019.   GeoHealth. American Geophysical Union, Washington, DC, USA, 6(10): e2022GH000660, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528438",
      "keyword": [
        "ecology",
        "Indicators and indices",
        "modeling",
        "flooding"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "CRSI_Results_2019Oct_011823.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528438/CRSI_Results_2019Oct_011823.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-18",
      "references": [
        "https://doi.org/10.1029/2022gh000660",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578261"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mucus and Iron Figures",
      "description": "The data sets are for the figures in the manuscript. \n\nThis dataset is associated with the following publication:\nGhio, A., J. Soukup, L. Dailey, and V. Roggli. Mucus increases cell iron uptake to impact the release of pro-inflammatory mediators after particle exposure.   Scientific Reports. Nature Publishing Group, London,  UK, 13(1): 3925, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527808",
      "keyword": [
        "lung disease",
        "mucus",
        "Silica",
        "air pollution",
        "iron"
      ],
      "contactPoint": {
        "fn": "Joleen Soukup",
        "hasEmail": "mailto:soukup.joleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of mucus and iron figure 8B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%208B.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Copy of mucus and iron figure 8A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%208A.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Copy of mucus and iron figure 7B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%207B.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Copy of mucus and iron figure 7A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%207A.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Copy of mucus and iron figure 6E.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%206E.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Copy of mucus and iron figure 6D.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%206D.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%206C.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%204C.xlsx",
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          "title": "Copy of mucus and iron figure 4B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%204B.xlsx",
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        {
          "title": "Copy of mucus and iron figure 4A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%204A.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of mucus and iron figure 1B.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%201B.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of mucus and iron figure 1A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/Copy%20of%20mucus%20and%20iron%20figure%201A.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2022-08-04",
      "references": [
        "https://doi.org/10.1038/s41598-023-30335-2",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998431"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527808/documents/Dataset%20dictionary.docx",
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    },
    {
      "title": "stream-intermittency-visualization-dashboard-GP_P1-3",
      "description": "continuous streamflow duration, water temperature, and precipitation data collected for the development of the beta streamflow duration assessment method for the Great Plains. \n\nThis dataset is associated with the following publication:\nKelso, J., W. Saulnier, K. Fritz, T. Nadeau, and B. Topping. The stream intermittency visualization dashboard: A web application for high-frequency logger data and daily flow observations.   Hydrological Processes. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 37(2): e14809, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528498",
      "keyword": [
        "Great Plains",
        "water temperature",
        "flow duration",
        "precipitation"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "FINAL Data Viz Video fin.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528498/FINAL%20Data%20Viz%20Video%20fin.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-22",
      "references": [
        "https://doi.org/10.1002/hyp.14809"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MG1_dataset",
      "description": "Genome sequence, PCR clone sequences and qPCR data. \n\nThis dataset is associated with the following publication:\nLinz, D., K. McIntosh, I. Struewing, S. Klemm, B. McMinn, R. Haugland, E. Villegas, and J. Lu. Genomic Characterization and Wetland Occurrence of a Novel Campylobacter Isolate from Canada Geese.   Microorganisms. MDPI, Basel,  SWITZERLAND, 11(3): 648, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528148",
      "keyword": [
        "Microbial Source Tracking",
        "campylobacter canadensis",
        "canada goose",
        "fecal indicators",
        "genome sequence",
        "genome",
        "Clone"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "MG1_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528148/MG1_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-31",
      "references": [
        "https://doi.org/10.3390/microorganisms11030648"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset and Dictionary for WV Tanks Paper",
      "description": "The dataset contains the data found in the figures of the paper \"Methane Emissions from Oil and Gas Production Sites and Their Storage Tanks in West Virginia\", along with a data dictionary. \n\nThis dataset is associated with the following publication:\nJohnson, D., N. Clark, R. Heltzel, M. Darzi, T. Footer, S. Herndon, C. Murral, and E. Thoma. Methane Emissions from Oil and Gas Production Sites and Their Storage Tanks in West Virginia.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS,  na, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523134",
      "keyword": [
        "Tanks",
        "Methane",
        "Oil and Gas",
        "NGEM",
        "Optical Gas Imaging"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset and Dictionary for WV Tanks Paper_Final_122222.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523134/Dataset%20and%20Dictionary%20for%20WV%20Tanks%20Paper_Final_122222.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-29",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2022.100193"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA metadata entry requirement for the Journal article \"Contaminant Exposure and Transport from Three Potential Reuse Waters within a Single Watershed\". No EPA managed data. See manuscript. ",
      "description": "No EPA managed data. See manuscript. Contact USGS primary author for data inquiries.\nhttps://pubs.acs.org/doi/10.1021/acs.est.2c07372. This dataset is not publicly accessible because: Non-EPA Generated. It can be accessed through the following means: See manuscript\r\nhttps://pubs.acs.org/doi/10.1021/acs.est.2c07372. Format: Environ. Sci. Technol. 2023, 57, 3, 1353–1365\r\nPublication Date:January 10, 2023\r\nhttps://doi.org/10.1021/acs.est.2c07372. \n\nThis dataset is associated with the following publication:\nMasoner, J., D. Kolpin, I. Cozzarelli, P. Bradley, B. Arnall, K. Forshay, J. Gray, J. Groves, M. Hladik, L. Hubbard, L. Iwanowicz, J. Jaeschke, R. Lane, B. McCleskey, B. Polite, D. Roth, M. Pettijohn, and M. Wilson. Contaminant exposure and transport from three potential re-use waters within a single watershed.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(3): 1353-1365, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528525",
      "keyword": [
        "water quality",
        "Agriculture",
        "water reuse",
        "Effluent",
        "emergent contaminants"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-09",
      "references": [
        "https://doi.org/10.1021/acs.est.2c07372",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878729"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Footprints in Action: How UVA is Managing its Sustainability Stewardship",
      "description": "Data on the carbon, nitrogen, water and phosphorus footprints from the University of Virginia and information about different scenarios of environmental releases. \n\nThis dataset is associated with the following publication:\nDukes, E., S. Cheng, S. Mogen, J. Galloway, A. Leach, A. Trimble, A. Petit, J. Compton, and M. Pennino. Footprints in Action: How UVA is Managing its Sustainability Stewardship,.   Sustainability and Climate Change. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 16(1): 48-63, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520735",
      "keyword": [
        "nitrogen",
        "nutrients",
        "ecosystem services",
        "atmospheric deposition",
        "fertilizer",
        "point sources",
        "N-fixation"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "IEFT Scenario Inputs and Outputs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520735/IEFT%20Scenario%20Inputs%20and%20Outputs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "IEFT Reduction Scenario Calculations_2020.11.03.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520735/IEFT%20Reduction%20Scenario%20Calculations_2020.11.03.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "IEFT Footprint % Change.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520735/IEFT%20Footprint%20%25%20Change.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-01-27",
      "references": [
        "https://doi.org/10.1089/scc.2022.0067",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9994435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gulf of Mexico CRSI Applications",
      "description": "All data are taken from existing internet sources and combined to create the index and its applications. \n\nThis dataset is associated with the following publication:\nSummers, K., L. Harwell, A. Lamper, C. McMillion, K. Buck, and L. Smith. Gulf of Mexico Coastal County Resilience to Natural Hazards.   Gulf and Caribbean Research. University of Southern Mississippi, Ocean Springs, MI, USA, 32(1): 67-78, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1519290",
      "keyword": [
        "resilience",
        "Gulf of Mexico",
        "Risk",
        "governance"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.census.gov/data",
          "accessURL": "https://www.census.gov/data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-30",
      "references": [
        "https://doi.org/10.18785/gcr.3201.10",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8693985"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA H2O and VELMA model output for D'Olive Regions",
      "description": "Please review READ ME tab at the beginning of each file.  Data are model generated summary of surface water flow and sub-surface soil saturation for select regions within the D'Olive watershed in Baldwin county, AL. The second file contains an mode-based ecosystem services assessment of the same regions. Data were used for a temporal comparison of D'Olive watershed based on changes in land cover between 2001 and 2016. \n\nThis dataset is associated with the following publication:\nFulford, R., M. Russell, M. Myers, M. Malish, and A. Delmaine. Models help set ecosystem service baselines for restoration assessment.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 317: 11, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522562",
      "keyword": [
        "aquatic ecosystem services",
        "Estuaries",
        "restoration"
      ],
      "contactPoint": {
        "fn": "Richard Fulford",
        "hasEmail": "mailto:fulford.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "ZoneDailyData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522562/ZoneDailyData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "H2O_RegionComp071220.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522562/H2O_RegionComp071220.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-01",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2022.115411"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2016 U.S. Electricity Generation Air Emissions, Hazardous Waste and Steam Emission Factors by Subregion",
      "description": "This dataset contain records factors for emissions and releases of chemicals to air, water and ground, waste generation, from electricity generation,  All values are per megawatt-hour (MWh) of eletricity generated at power plants or other generating facilities.\n\nSubregion is an acronym of a U.S. EPA eGRID subregion.  See https://www.epa.gov/egrid\n\nFlowName, Context, and Unit are defined as they are in the Flow table format specification for the U.S. EPA Standardized Inventories (StEWI) tool. https://github.com/USEPA/standardizedinventories/blob/master/format%20specs/Flow.md\nFlowName is the name of the chemical, waste, input or product. \nChemical (context is air, water or ground) use the nomenclature of the Federal LCA Commons Elementary Flow List.\nWastes use the names for waste code descriptions from the 2017 RCRA Biennial Waste Report.\nThere are also \"Heat\" input and \"Steam\" co-product output factors. These names and data come from the eGRID 2016 database. \n\nThis dataset is associated with the following publication:\nGhosh, T., W.W. Ingwersen, M. Jamieson, T.R. Hawkins, S. Cashman, T. Hottle, A. Carpenter, and K. Richa. Derivation and assessment of regional electricity generation emission factors in the USA.   INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 28(2): 156-171, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528678",
      "keyword": [
        "RCRAInfo",
        "NEI",
        "eGRID",
        "TRI"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "egrid_generationmix_efs_ijlca_elci.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528678/egrid_generationmix_efs_ijlca_elci.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-03-16",
      "references": [
        "https://doi.org/10.1007/s11367-022-02113-1",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990895"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benthic macroinvertebrate community response to environmental changes over seven decades in an urbanized estuary in the northeastern United States_data",
      "description": "These are the data supporting the manuscript, \"Benthic macroinvertebrate community response to environmental changes over seven decades in an urbanized estuary in the northeastern United States\". \n\nThis dataset is associated with the following publication:\nPelletier, M., D. Cobb, K. Rocha, K. Ho, M. Cantwell, M. Perron, M.A. Charpentier, H.W. Buffum, S.S. Hale, and R. Burgess. Benthic macroinvertebrate community response to environmental changes over seven decades in an urbanized estuary in the northeastern United States.   MARINE ENVIRONMENTAL RESEARCH. Elsevier Science Ltd, New York, NY, USA, 169: 105323, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520128",
      "keyword": [
        "Benthos",
        "Estuaries",
        "Multivariate analysis",
        "trends",
        "temperature",
        "eutrophication"
      ],
      "contactPoint": {
        "fn": "Marguerite Pelletier",
        "hasEmail": "mailto:pelletier.peg@epa.gov"
      },
      "distribution": [
        {
          "title": "Trends_paper_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520128/Trends_paper_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-16",
      "references": [
        "https://doi.org/10.1016/j.marenvres.2021.105323",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292207"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air-Rail CO2 Data Final Miller 2023-03-19",
      "description": "Data presented in  Miller (2021) Savings in per-passenger CO2 emissions using rail rather than air travel in the northeastern U.S., JAWMA, 71:12, 1458-1471, DOI:10.1080/10962247.2020.1837996.\nData included:\n-CO2 emissions from air and rail travel between select city pairs in the NE U.S. in lb CO2 and lb CO2/passenger-mile\n-Flight and rail miles between cities\n-Emission factors for air travel by aircraft type (single-aisle, regional jet)\n-Emission factors for rail travel by motive power type (electric, diesel)\nData calculated using publicly available databases from the US Department of Energy, US Department of Commerce, the International Civil Aviation Organization, Amtrak, and the Rail Passengers Association.\nExternal data were collected in late 2019 through early 2020. \n\nThis dataset is associated with the following publication:\nMiller, A. Savings in per-passenger CO2 emissions using rail rather than air travel in the northeastern U.S.. 2020. C. Andrew Miller (ed.), JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  37, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528689",
      "keyword": [
        "CO2 emissions",
        "transportation",
        "Air travel",
        "Rail travel",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Charles Miller",
        "hasEmail": "mailto:miller.andy@epa.gov"
      },
      "distribution": [
        {
          "title": "Air-Rail CO2 Data Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528689/Air-Rail%20CO2%20Data%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-14",
      "references": [
        "https://doi.org/10.1080/10962247.2020.1837996"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Interactive effects of biochar amendment and lead toxicity on soil microbial community",
      "description": "Supplementary material for manuscript.\nGenBank Accession numbers to DNA sequences obtained and used.\nTaxonomy of OTUs - large txt file tab delimited\nNumber of sequences per OTU per Sample - large txt file tab delimited. \n\nThis dataset is associated with the following publication:\nWan, Y., R. Devereux, S. George, J. Chen, B. Gao, M. Noerpel, and K. Scheckel. Interactive effects of biochar amendment and lead toxicity on soil microbial community.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 425: 127921, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522941",
      "keyword": [
        "Biochar (BC)",
        "lead bioavailability",
        "Microbial Analysis",
        "16S rRNA Amplicon Sequencing"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [
        {
          "title": "Seqs per OTU per Sample.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522941/Seqs%20per%20OTU%20per%20Sample.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OTU taxonomy.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522941/OTU%20taxonomy.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GenBank Accession Numbers for Samples.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522941/GenBank%20Accession%20Numbers%20for%20Samples.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "biocahr_lead_supplementary_material - Copy.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522941/biocahr_lead_supplementary_material%20-%20Copy.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-05",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2021.127921",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815664"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522941/documents/Biochar%20Pb%20Soil%20Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Simulating Hypoxia in Narragansett Bay",
      "description": "Data provided here include WASP input files and simulation outputs (Dissolved Oxygen (mg/l) and Phytoplankton (ug chl a/L). Simulation Outputs for base case year as well as scenario testing for changes in nutrient loads. Observed Data are also provided for sites of interest including sonde (15 min) and grab samples (depth profile). \n\nThis dataset is associated with the following publication:\nKnightes, C. Simulating Hypoxia in a New England Estuary: WASP8 Advanced Eutrophication Module (Narragansett Bay, RI, USA).   WATER. MDPI, Basel,  SWITZERLAND, 15(6): 1204, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527873",
      "keyword": [
        "nutrients",
        "modelling",
        "Hypoxia",
        "eutrophication",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "WASP Simulation Output.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/WASP%20Simulation%20Output.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WASP Input Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/WASP%20Input%20Files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sonde Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/Sonde%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NBC Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/NBC%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Matlab Programs for Data Analysis.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/Matlab%20Programs%20for%20Data%20Analysis.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Load Scenarios Output.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/Load%20Scenarios%20Output.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Light Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527873/Light%20Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-17",
      "references": [
        "https://doi.org/10.3390/w15061204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "McCaffrey et al. 2022 Metafile for data repository",
      "description": "Metafile contains github links for R code and input datasets (including those generated in our analysis and those publicly available) for probabilistic and deterministic crop footprint generation and field-level simulation analysis. \n\nThis dataset is associated with the following publication:\nMcCaffrey, K., E. Paulukonis, S. Raimondo, S. Sinnathamby, S. Purucker, and L. Oliver. A multi-scale approach for identification of potential pesticide use sites impacting vernal pool critical habitat in California.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 857(1): 159274, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528697",
      "keyword": [
        "ecological risk assessment",
        "pesticide co-occurrence",
        "California vernal pool",
        "Crop Footprint"
      ],
      "contactPoint": {
        "fn": "Leah Oliver",
        "hasEmail": "mailto:oliver.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/epaulukonis/probabilistic_crop_McCaffrey",
          "accessURL": "https://github.com/epaulukonis/probabilistic_crop_McCaffrey",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UDL_latlon.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528697/UDL_latlon.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Prob_latlon.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528697/Prob_latlon.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.159274",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884490"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demonstrating the Use of Non-targeted Analysis for Identification of Unknown Chemicals in Rapid Response Scenarios",
      "description": "John T. Sloop, Alex Chao, Jennifer Gundersen, Allison L. Phillips, Jon R. Sobus, Elin M. Ulrich, Antony J. Williams, and Seth R. Newton, Environmental Science & Technology 2023 57 (8), 3075-3084, DOI: 10.1021/acs.est.2c06804. \n\nThis dataset is associated with the following publication:\nSloop, J., A. Chao, J. Gundersen, A. Flynn, J. Sobus, E. Ulrich, A. Williams, and S. Newton. Demonstrating the Use of Non-targeted Analysis for Identification of Unknown Chemicals in Rapid Response Scenarios.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(8): 3075-3084, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528693",
      "keyword": [
        "rapid response",
        "high-resolution mass spectrometry",
        "non-targeted analysis",
        "LC-MS",
        "hazard comparison"
      ],
      "contactPoint": {
        "fn": "John Sloop",
        "hasEmail": "mailto:sloop.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Supp Info 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528693/Supp%20Info%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supp Info 1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528693/Supp%20Info%201.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JTS_RRMockScenario_Datasets_07192022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528693/JTS_RRMockScenario_Datasets_07192022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-16",
      "references": [
        "https://doi.org/10.1021/acs.est.2c06804"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ARG Summarized Data2",
      "description": "ARG and environmental parameters data collected at Proctor Creek, Atlanta, GA from 2015-2017. \n\nThis dataset is associated with the following publication:\nSowah, R., M. Molina, O. Georgacopoulos, B. Snyder, and M. Cyterski. Sources and Drivers of ARGs in Urban Streams in Atlanta, Georgia, USA.   Microorganisms. MDPI, Basel,  SWITZERLAND, 10(9): 1804, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524805",
      "keyword": [
        "Proctor Creek",
        "urban streams",
        "ARG",
        "human-associated marker",
        "antibiotic resistance"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "ARG Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524805/ARG%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-18",
      "references": [
        "https://doi.org/10.3390/microorganisms10091804",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503305"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In vitro transcriptomic analyses reveal pathway perturbations, estrogenic activities, and potencies of data-poor BPA alternative chemicals ",
      "description": "GEOSite dataset for article 'In vitro transcriptomic analyses reveal pathway perturbations, estrogenic activities, and potencies of data-poor BPA alternative chemicals '. \n\nThis dataset is associated with the following publication:\nMatteo, G., K. Leingartner, A. Rowan-Carroll, M. Meier, A. Williams, M. Beal, M. Gagne, R. Farmahin, S. Wickramasuriya, A.J. Reardon, T. Barton-Maclaren, J. Corton, C. Yauk, and E. Atlas. In vitro transcriptomic analyses reveal pathway perturbations, estrogenic activities, and potencies of data-poor BPA alternative chemicals.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  191(2): 266-275, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528701",
      "keyword": [
        "Benchmark Concentration",
        "potency",
        "BPA",
        "biomarker",
        "TempO-Seq"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/geo/query/acc.cgi?acc=GSE211183",
          "accessURL": "https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/geo/query/acc.cgi?acc=GSE211183",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-08-18",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac127",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Per- and Polyfluoroalkyl Substances (PFAS) In Vitro Toxicity Testing for Developmental Neurotoxicity",
      "description": "R-language data files from \"Carstens KE, Freudenrich T, Wallace K, Choo S, Carpenter A, Smeltz M, Clifton MS, Henderson WM, Richard AM, Patlewicz G, Wetmore BA, Paul Friedman K, Shafer T. Evaluation of Per- and Polyfluoroalkyl Substances (PFAS) In Vitro Toxicity Testing for Developmental Neurotoxicity. Chem Res Toxicol. 2023 Mar 20;36(3):402-419. doi: 10.1021/acs.chemrestox.2c00344. Epub 2023 Feb 23. PMID: 36821828.\". \n\nThis dataset is associated with the following publication:\nCarstens, K., T. Freudenrich, K. Wallace, S. Choo, A. Carpenter, M. Smeltz, M. Clifton, M. Henderson, A. Richard, G. Patlewicz, B. Wetmore, K. Friedman, and T. Shafer. Evaluation of Per- and Polyfluoroalkyl Substances (PFAS) In Vitro Toxicity Testing for Developmental Neurotoxicity.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 402-419, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528702",
      "keyword": [
        "PFAS",
        "children's health",
        "New Approach Methods (Alternatives to Animal Testi",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Kelly Carstens",
        "hasEmail": "mailto:carstens.kelly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/files/6421b01fe4b08a6b393c29e2?dataset=61147fefe4b0856fdc65639b&space=&folder=6421b018e4b08a6b393c29de",
          "accessURL": "https://clowder.edap-cluster.com/files/6421b01fe4b08a6b393c29e2?dataset=61147fefe4b0856fdc65639b&space=&folder=6421b018e4b08a6b393c29de",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-02-23",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.2c00344"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Chemical Signatures of neurodevelopmental disorders",
      "description": "This dataset contains the data, code and associated files for the manuscript Authored by Marable et al. \n\nThis dataset is associated with the following publication:\nMarable, C., C. Frank, R. Seim, S. Hester, M. Henderson, B. Chorley, and T. Shafer. Integrated Omic Analyses Identify Pathways and Transcriptomic Regulators Associated with Chemical Alterations of in vitro Neural Network Formation.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  186(1): 118-133, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520859",
      "keyword": [
        "new approach methodologies",
        "Microelectrode array",
        "developmental neurotoxicity",
        "transcriptomics",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "Marable et al data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520859/Marable%20et%20al%20data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-17",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab151"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Predicting chemical end-of-life scenarios using structure-based classification models\"",
      "description": "As described in the README.md file, the GitHub repository github.com/USEPA/PRTR-QSTR-models/tree/data-driven are Python scripts written to run Quantitative Structure–Transfer Relationship (QSTR) models based on chemical structure-based machine learning (ML) models for supporting environmental regulatory decision-making. Using features associated with annual chemical transfer amounts, chemical generator industry sectors, environmental policy stringency, gross value added by industry sectors, chemical descriptors, and chemical unit prices, as in the GitHub repository PRTR_transfers, the QSTR models developed here can predict potential EoL activities for chemicals transferred to off-site locations for EoL management. Also, this contribution shows that QSTR models aid in estimating the mass fraction allocation of chemicals of concern transferred off-site for EoL activities.\nAlso, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script, and how to obtain all manuscript figures and results. \n\nThis dataset is associated with the following publication:\nHernandez-Betancur, J.D., G.J. Ruiz-Mercado, and M. Martín. Predicting Chemical End-of-Life Scenarios Using Structure-Based Classification Models.   ACS Sustainable Chemistry & Engineering. American Chemical Society, Washington, DC, USA, 11(9): 3594-3602, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527908",
      "keyword": [
        "life cycle inventory",
        "machine learning",
        "QSAR modeling",
        "Chemical Flow Analysis",
        "Data Modeling",
        "End-of-life",
        "Exposure Scenario"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/PRTR-QSTR-models/tree/data-driven",
          "accessURL": "https://github.com/USEPA/PRTR-QSTR-models/tree/data-driven",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://doi.org/10.1021/acssuschemeng.2c05662",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9993395"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data_Analysis_HighFlow_LoadExport.zip",
      "description": "Data_Analysis_HighFlow_LoadExport. \n\nThis dataset is associated with the following publication:\nKamrath, B., and Y. Yuan. Streamflow duration curve to explain nutrient export in Midwestern USA watersheds: Implication for water quality achievements.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 336: 117598, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528113",
      "keyword": [
        "effectiveness of agricultural conservation practic",
        "agricultural watersheds",
        "flow interval",
        "percentage of annual nutrient load",
        "nutrient export"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Analysis_Flow_Duration_Load.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528113/Data_Analysis_Flow_Duration_Load.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-23",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.117598"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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      },
      "accessRights": "public"
    },
    {
      "title": "National seagrass",
      "description": "Using WorldView-2 and WorldView-3 imagery to classify seagrass in coastal ecosystems. \n\nThis dataset is associated with the following publication:\nCoffer, M., D. Graybill, P. Whitman, B. Schaeffer, W. Salls, R. Zimmerman, V. Hill, M. Lebrasse, J. Li, D. Keith, J. Kaldy, P. Colarusso, G. Raulerson, D. Ward, and W.J. Kenworthy. Providing a framework for seagrass mapping in United States coastal ecosystems using high spatial resolution satellite imagery.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 337: 117669, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528146",
      "keyword": [
        "WorldView-2",
        "WorldView-3",
        "coastal monitoring",
        "satellite remote sensing",
        "image classification",
        "seagrass"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Coffer_et_al_seagrass.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528146/Coffer_et_al_seagrass.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-08-03",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.117669"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Variable Fecal Source Prioritization in Recreational Waters Routinely Monitored with Viral and Bacterial General Indicators",
      "description": "Data used to generate Figures 1-5 in manuscript. \n\nThis dataset is associated with the following publication:\nLi, X., C.A. Kelty, M. Sivaganesan, and O. Shanks. Variable Fecal Source Prioritization in Recreational Waters Routinely Monitored with Viral and Bacterial General Indicators.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 192: 116845, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519419",
      "keyword": [
        "recreational water quality",
        "coliphage",
        "Microbial Source Tracking",
        "qPRC"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Li etal 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519419/Li%20etal%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-15",
      "references": [
        "https://doi.org/10.1016/j.watres.2021.116845",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186395"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wanjugi et al 20xx Data Set (Version 1)",
      "description": "Water quality indicator, water quality parameters, and recreational parameter data set for study period. \n\nThis dataset is associated with the following publication:\nWanjugi, P., M. Sivaganesan, A. Korajkic, B. McMinn, C. Kelty, E. Rhodes, M. Cyterski, R. Zepp, K. Oshima, E. Stachler, J. Kinzelman, S. Kurdas, M. Citriglia, F. Hsu, B. Acrey, and O. Shanks. Incidence of Somatic and F+ Coliphage in Great Lake Basin Recreational Waters.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 140: 200-210, (2018).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1407645",
      "keyword": [
        "coliphage",
        "E. coli",
        "Enterococci",
        "recreational water"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Wanjugi et al 2018_Data Set_Updated.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407645/Wanjugi%20et%20al%202018_Data%20Set_Updated.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-09-21",
      "references": [
        "https://doi.org/10.1016/j.watres.2018.04.055",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366341"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Occurrence of aetokthonotoxin producer in natural samples – a PCR protocol for easy detection",
      "description": "No EPA data was generated for the current manuscript.  LC/MS and LC/MS-MS data were generated by collaborators in Germany.  Sequencing data from this study is available at the NCBI under accession numbers OQ325307, OQ325311–OQ325313 and\nOQ338813–OQ338815.  Additional data will be made available on request by the corresponding author. This dataset is not publicly accessible because: Data does not belong to EPA. It can be accessed through the following means: Sequencing data from this study is available at the NCBI under accession numbers OQ325307, OQ325311–OQ325313 and OQ338813–OQ338815. Format: Sequencing data. \n\nThis dataset is associated with the following publication:\nStenclova, L., S. Wilde, M. Schwark, J. Cullen, S. McWhorter, T. Niedermeyer, W. Henderson, and J. Mares. Occurrence of aetokthonotoxin producer in natural samples – A PCR protocol for easy detection.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 125: 102425, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528688",
      "keyword": [
        "cyanobacteria",
        "aquatic plants",
        "Aetokthonos",
        "hydrilla"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-28",
      "references": [
        "https://doi.org/10.1016/j.hal.2023.102425"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phtoplankton_qPCR_Dataset",
      "description": "The dataset including qPCR, phytoplankton counts and water quality parameters are used for the evaluation of phytoplankton identification and quantification and assessment of eutrophication. \n\nThis dataset is associated with the following publication:\nZhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 235: 119679, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528499",
      "keyword": [
        "spatiotemporal variations",
        "microscopy",
        "qPCR",
        "nutrients",
        "freshwater bodies",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "CyanoPhyto_qPCR_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528499/CyanoPhyto_qPCR_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.119679"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Untargeted MS-based Monitoring of Glucuronides in Fish",
      "description": "Prioritization of environmental contaminants can be aided by detecting glucuronidated biotransformation products in fish using untargeted mass spectrometry-based metabolomics. \n\nThis dataset is associated with the following publication:\nEvich, M., J. Mosley, I. Ntai, J. Cavallin, D. Villeneuve, G. Ankley, T. Collette, and D. Ekman. Untargeted MSn-Based Monitoring of Glucuronides in Fish: Screening Complex Mixtures for Contaminants with Biological Relevance..   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(12): 2481–2490, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1517653",
      "keyword": [
        "glucuronides",
        "phase II metabolites",
        "untargeted metabolomics",
        "high resolution mass spectrometry",
        "LC-MS",
        "environmental contaminants",
        "neutral loss-dependent MS3",
        "bile"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "WLSSD 21d FHM Bile Glucuronides Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517653/WLSSD%2021d%20FHM%20Bile%20Glucuronides%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-10-09",
      "references": [
        "https://doi.org/10.1021/acsestwater.2c00310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Polanyi Potential Theory PFAS Results",
      "description": "This dataset contains the results of a Polanyi Potential Theory approach for estimating Freundlich Isotherm capacity parameters for 428 per- and polyfluoroalkyl substances (PFAS) on granular activated carbon (GAC). This also includes the results of a Hamiltonian Markov Chain Monte Carlo analysis used to generate the parameter estimates. These values are associated with a manuscript, which describes the findings and associated limitations of this data. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., A. Cadwallader, J. Pressman, M. Magnuson, A. Williams, G. Sinclair, and T. Speth. Polanyi Adsorption Potential Theory for Estimating PFAS Treatment with Granular Activated Carbon.   Journal of Water Process Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 53: 103691, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528436",
      "keyword": [
        "granular activated carbon",
        "drinking water",
        "PFAS",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "SCIHUB - Burkhardt_Polanyi.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528436/SCIHUB%20-%20Burkhardt_Polanyi.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-18",
      "references": [
        "https://doi.org/10.1016/j.jwpe.2023.103691"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DriLube VOC Concentrations, Pressure & Vacuum Readings and Metadata",
      "description": "There are 3 main databases. #1 is the VOC concentrations of soil gas and indoor air samples collected over the site. #2 is the pressure readings used to monitor the pressure differential between subslab and indoor air. #3 is the vacuum reading used to monitor effectiveness, strength, and reach of vacuum created during the SVE operation. \n\nThis dataset is associated with the following publication:\nLutes, C., L. Stewart, R. Truesdale, J. De Loeora, J. Zimmerman, and B. Schumacher. Cost Comparison of Soil Vapor Extraction and Subslab Depressurization for Vapor Intrusion Mitigation.   GROUNDWATER MONITORING AND REMEDIATION. National Ground Water Association, Westerville, OH, USA, 42(4): 43-53, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523157",
      "keyword": [
        "soil vapor extraction",
        "subslab depressurization"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1503951",
          "accessURL": "https://doi.org/10.23719/1503951",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-04",
      "references": [
        "https://doi.org/10.1111/gwmr.12510",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "San_Juan_Bay-mangrove_stable_isotopes&accretion_rates2016",
      "description": "Datasets include nitrogen and carbon stable isotope ratios and sediment accretion rates in radiometrically dated mangrove cores collected from the San Juan Bay Estuary in 2016. \n\nThis dataset is associated with the following publication:\nWigand, C., M. Eagle, B. Branoff, S. Balogh, K. Miller, R. Martin, A. Hanson, A. Oczkowski, E. Huertas, J. Loffredo, and E. Watson. Recent Carbon Storage and Burial Exceed Historic Rates in the San Juan Bay Estuary Peri-Urban Mangrove Forests (Puerto Rico, United States).   Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 4: 676691, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1520723",
      "keyword": [
        "carbon storage",
        "San Juan Bay Estuary",
        "mangrove",
        "Puerto Rico"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "isotopedata_withyearinfo_1-21-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520723/isotopedata_withyearinfo_1-21-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PR_Cores2016_AR_DBD_%CN_mean_age1-21-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520723/PR_Cores2016_AR_DBD_%25CN_mean_age1-21-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-21",
      "references": [
        "https://doi.org/10.3389/ffgc.2021.676691",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809366"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata An analysis of degradation in low-cost particulate matter sensors",
      "description": "This file describes where to find the dataset used for this paper (PurpleAir and AQS) and the data fields used in the analysis. Contact the corresponding author for access to the code used to generate the dataset. \n\nThis dataset is associated with the following publication:\ndeSouza, P., K. Barkjohn, A. Clements, J. Lee, R. Kahn, and B. Crawford. An analysis of degradation in low-cost particulate matter sensors.   Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge,  UK,  NA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528083",
      "keyword": [
        "air sensor",
        "Performance",
        "pm2.5",
        "age",
        "degredation",
        "drift"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://api.purpleair.com/",
          "accessURL": "https://api.purpleair.com/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://aqs.epa.gov/aqsweb/documents/data_api.html",
          "accessURL": "https://aqs.epa.gov/aqsweb/documents/data_api.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "DeSouza_Metadata_10_12_22.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528083/DeSouza_Metadata_10_12_22.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-10-12",
      "references": [
        "https://doi.org/10.1039/d2ea00142j"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for West Virginia Pneumatic Controller Study",
      "description": "This dataset contains the data presented in the figures of \"Evaluating Natural Gas Emissions from Pneumatic Controllers from Upstream Oil and Gas Facilities in West Virginia\". \n\nThis dataset is associated with the following publication:\nFooter, T., E. Thoma, D. Johnson, N. Clark, S. Herndon, and C. Murral. Evaluating Natural Gas Emissions from Pneumatic Controllers from Upstream Oil and Gas Facilities in West Virginia.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 17: NA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523120",
      "keyword": [
        "Oil and Gas",
        "Methane",
        "Pneumatic Controller Emissions",
        "NGEM",
        "Optical Gas Imaging"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Thoma_SDMP.FY21_WV_PC Paper_122222.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523120/Thoma_SDMP.FY21_WV_PC%20Paper_122222.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-22",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2022.100199",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835970"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Recoveries of bacilllus atropheus spores pre- and post-  vehicle interior decontamination with low concentration hydrogen peroxide vapor",
      "description": "This dataset contains information on the experimental test conditions during the low concentration hydrogen peroxide vapor decontamination tests. For each test (five tests total), it shows the number of recovered B. atropheus spores before and after the decontamination at ten interior vehicle locations. The log10 values of the recovered number of spores (before and after decontamination) are reported in the journal article. The table includes the calculated efficacy (in expressed as log reduction) as the difference in log10 values of recovered spores before and after decontamination. \n\nThis dataset is associated with the following publication:\nOudejans, L., W. Richter, M. Sunderman, W. Calfee, L. Mickelsen, K. Hofacre, P. Keyes, and S. Lee. Passenger vehicle interior decontamination by low concentration hydrogen peroxide vapor following a wide area biological contamination incident.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 134(3): lxad039, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1519082",
      "keyword": [
        "inactivation",
        "bacterial spores",
        "hydrogen peroxide vapor",
        "Bacillus anthracis",
        "Decontamination",
        "Hydrogen Peroxide",
        "vehicle interior"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Oudejans Recoveries and efficacies 20200710.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519082/Oudejans%20Recoveries%20and%20efficacies%2020200710.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-23",
      "references": [
        "https://doi.org/10.1093/jambio/lxad039"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARSCoV2 Steam Inactivation Data",
      "description": "This dataset provides the numerical values for the data in Figures 1-6 in the journal publication and for Figures S1 and S2 in the supplemental data. \n\nThis dataset is associated with the following publication:\nRichter, W., M. Sunderman, D. Schaeufele, Z. Willenberg, K. Ratliff, M. Calfee, and L. Oudejans. Evaluation of steam heat as a decontamination approach for SARS-CoV-2 when applied to common transit-related materials.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 134(3): lxad053, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527898",
      "keyword": [
        "inactivation",
        "Decontamination",
        "SARS-CoV-2",
        "Steam"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Steam_SARSCoV2_Inactivation_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527898/Steam_SARSCoV2_Inactivation_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-29",
      "references": [
        "https://doi.org/10.1093/jambio/lxad053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Use of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries - DATA",
      "description": "Use of table isotope in surficial sediments and bivalves for assessing anthropogenic development in watersheds of lakes and estuaries. \n\nThis dataset is associated with the following publication:\nLake, J.L., J.R. Serbst, A. Kuhn, M. Charpentier, and N.J. Smucker. Evaluation of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries.   WATER. MDPI, Basel,  SWITZERLAND, 14(22): 3712, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528195",
      "keyword": [
        "carbon stable isotopes",
        "nitrogen stable isotopes",
        "bivalves",
        "sediment",
        "watersheds"
      ],
      "contactPoint": {
        "fn": "James Lake",
        "hasEmail": "mailto:lake.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental table 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528195/Supplemental%20table%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental table 3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528195/Supplemental%20table%203.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table 2 .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528195/Supplemental%20Table%202%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Copy of HUB Files.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528195/Copy%20of%20HUB%20Files.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-09",
      "references": [
        "https://doi.org/10.3390/w14223712",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Paper Assessment of Chemical Facility Ethylene Oxide Emissions Using Mobile and Multipoint Monitoring",
      "description": "This file contains the data presented in \"Assessment of Chemical Facility Ethylene Oxide Emissions Using Mobile and Multipoint Monitoring\".  It also contains a data dictionary. \n\nThis dataset is associated with the following publication:\nThoma, E., A. Gitipour, I. George, P. Kariher, M. MacDonald, G. Queiroz, P. Deshmukh, J. Childers, T. Rodak, and V. Schmid. Assessment of Chemical Facility Ethylene Oxide Emissions Using Mobile and Multipoint Monitoring.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 18: NA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528076",
      "keyword": [
        "Fenceline Monitoring",
        "GMAP",
        "NGEM",
        "EtO (Ethylene Oxide)",
        "Environmental Justice",
        "Fugitive Emissions"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "EtO_NGEM_Chem_Thoma et_al_Dataset_Dictionary_SMDP.FY23.1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528076/EtO_NGEM_Chem_Thoma%20et_al_Dataset_Dictionary_SMDP.FY23.1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-01",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2023.100214"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for In vitro-in vivo extrapolation of hepatic biotransformation data for fish. III. An in-depth case study with pyrene.",
      "description": "This dataset, presented as an Excel spreadsheet, contains all data presented as figures and tables in an article by Nichols et al, entitled \"In vitro-in vivo extrapolation of hepatic biotransformation data for fish. III. An in-depth case study with pyrene\" and published in Environmental Toxicology and Chemistry, 2023.  The dataset describes results from a paired set of experiments designed to evaluate the accuracy of in vitro to in vivo metabolism extrapolation procedures for fish.  Results showed that measured rates of in vitro intrinsic clearance, when extrapolated to the whole liver, underestimated apparent rates of in vivo activity by about a factor of 4 (assuming the liver is the only site of biotransformation).  These findings may have important implications for the use of IVIVE methods in bioaccumulation assessments for fish. \n\nThis dataset is associated with the following publication:\nNichols, J., P. Fitzsimmons, A. Hoffman, and K. Wong. In vitro-in vivo extrapolation of hepatic biotransformation data for fish. III. An in-depth case study with pyrene.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(7): 1501-1515, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528739",
      "keyword": [
        "polycyclic aromatic hydrocarbons",
        "in vitro-in vivo extrapolation",
        "biotransformation",
        "fish",
        "bioconcentration"
      ],
      "contactPoint": {
        "fn": "Patrick Fitzsimmons",
        "hasEmail": "mailto:fitzsimmons.patrick@epa.gov"
      },
      "distribution": [
        {
          "title": "PYR BCF ScienceHub_04282023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528739/PYR%20BCF%20ScienceHub_04282023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-04",
      "references": [
        "https://doi.org/10.1002/etc.5626"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Harvard Study Complete SciHUB 3-6-21",
      "description": "The data is described by the Excel sheet tab names.  For example, the first Sheet \"Treatment designation\" shows whether the sample came from a classroom that received the HEPA or Control treatment.  The second Sheet, Schools all\" shows the ERMI results for  each of the classrooms.  The third Sheet, \"Homes all\", shows the ERMI results for each of the homes.  Each tab name describes what is found on that sheet. \n\nThis dataset is associated with the following publication:\nVesper, S., L. Wymer, B.A. Coull, P. Koutrakis, A. Cunningham, C.R. Petty, N. Metwali, W.J. Sheehan, J.M. Gaffin, P. Permaul, P. Lai, L.M. Bartnikas, M. Hauptman, D.R. Gold, S.N. Baxi, and W. Phipatanakul. HEPA filtration intervention in classrooms may improve some students' asthma.   Journal of Asthma. Informa Healthcare, London,  UK, 60(3): 479-486, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522442",
      "keyword": [
        "student",
        "asthma",
        "spirometry",
        "mold",
        "Dust",
        "forced expiratory volume"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Harvard Study Complete SciHUB 3-6-21 Corrected 3-29-23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522442/Harvard%20Study%20Complete%20SciHUB%203-6-21%20Corrected%203-29-23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-06",
      "references": [
        "https://doi.org/10.1080/02770903.2022.2059672",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548522"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NESE_betasdam Final data and code",
      "description": "Reach-scale flow classifications (ephemeral , intermittent, and perennial) based on direct hydrologic data and field (biological and geomorphological) and geospatial (climate, geographical) indicators for northeastern and southeastern United States used to build random forest models to predict flow duration class. \n\nThis dataset is associated with the following publication:\nGross, S., M. Eddy, K. Fritz, B. Topping, T. Nadeau, R. Edgerton, R. Mazor, and K. Nicholas. Data Supplement to Development and Evaluation of the Beta Streamflow Duration Assessment Methods for the Northeast and Southeast. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528743",
      "keyword": [
        "intermittent",
        "intermittency",
        "permanence",
        "perennial",
        "ephemeral",
        "drying",
        "indicators",
        "hydrology",
        "classification",
        "temporary",
        "rapid assessment"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "NESE_betasdam Final data and code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528743/NESE_betasdam%20Final%20data%20and%20code.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-08",
      "references": [
        "https://www.epa.gov/system/files/documents/2023-04/Development-of-Beta-SDAM-NE-and-SE-April-2023.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supply Chain Greenhouse Gas Emission Factors v1.2 by NAICS-6",
      "description": "The datasets are comprised of greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data representing 2019. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv) provides kg carbon dioxide equivalents (CO2e) per USD for all GHGs combined using 100 yr global warming potentials from the 4th IPPC Assessment report to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors (SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv) provides kg of each unique GHG emitted per dollar per commodity without the CO2e calculation. The dollar (USD) in the denominator of all factors uses purchaser prices in 2021 USD.  See the supporting file 'Aboutthe2019v1.2SupplyChainGHGEmissionFactors.pdf' for complete documentation of this dataset.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528686",
      "keyword": [
        "USEEIO",
        "scope 3",
        "GHG emission factors",
        "carbon footprint"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528686/SupplyChainGHGEmissionFactors_v1.2_NAICS_CO2e_USD2021.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528686/SupplyChainGHGEmissionFactors_v1.2_NAICS_byGHG_USD2021.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-12",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1528686/documents/v1.2tov1.1.1comparisonimages.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1528686/documents/RelativeChangefromv1.1.1-2016to1.2-2019inSEFsbygas.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1528686/documents/Aboutthe2019v1.2SupplyChainGHGEmissionFactors.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/supply-chain-factors/blob/4b813e5a776fc14c7faffff98311e81ea7b69e6d/format-specs/README.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Benton Harbor Drinking Water Study",
      "description": "Data collected during the Benton Harbor Drinking Water Study. The majority of the study data is contained in the BH_Data_V13 Excel file and background water quality data collected during the sequential sampling portion of the study is located in BH_Data_WaterQuality_V4 Excel file. \n\nThis dataset is associated with the following publication:\nTully, J., S. Shilling, V. Bosscher, M. Schock, and D. Lytle. Benton Harbor Drinking Water Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528532",
      "keyword": [
        "drinking water",
        "particulate",
        "lead sources",
        "filtered water",
        "certified filters",
        "lead",
        "NSF/ANSI 53"
      ],
      "contactPoint": {
        "fn": "Jennifer Tully",
        "hasEmail": "mailto:tully.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "BH_Data_WaterQuality_V4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528532/BH_Data_WaterQuality_V4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BH_Data_V13.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528532/BH_Data_V13.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528532/documents/DataDictionary_BentonHarborStudy.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Mosquito and Pathogen Relationships for Network Analysis",
      "description": "This data contains the data file of mosquito-pathogen relationships and literature-based evidence for wild infection, lab infection, lab dissemination, lab transmission, or known vector, and the associated output from network analysis. \n\nThis dataset is associated with the following publication:\nYee, D., and S. Yee. Robust network stability of mosquitoes and human pathogens of medical importance.   Parasites & Vectors. BioMed Central Ltd, London,  UK,  9, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524241",
      "keyword": [
        "mosquito",
        "network",
        "Pathogen",
        "vector",
        "medical importance"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Network_Analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524241/Network_Analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mosquito_Pathogen_Pairs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524241/Mosquito_Pathogen_Pairs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-09",
      "references": [
        "https://doi.org/10.1186/s13071-022-05333-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9208160"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phage FIB protozoa source",
      "description": "Concentrations of somatic coliphage, F+ coliphage, E. coli and enterococci. \n\nThis dataset is associated with the following publication:\nKorajkic, A., B. McMinn, and V.J. Harwood. The Effect of Protozoa Indigenous to Lakewater and Wastewater on Decay of Fecal Indicator Bacteria and Coliphage.   PATHOGENS. MDPI, Basel,  SWITZERLAND, 12(3): 378, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526067",
      "keyword": [
        "wastewater",
        "Ambient Water",
        "Bacteriophage",
        "Predation",
        "fecal indicator bacteria"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "Phage FIB protozoa source_060822_AK.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526067/Phage%20FIB%20protozoa%20source_060822_AK.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-28",
      "references": [
        "https://doi.org/10.3390/pathogens12030378",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053992"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fate of arsenicals in mice carrying the human AS3MT gene exposed to environmentally relevant levels of arsenite in drinking water",
      "description": "Metadata for \"Douillet, C., Miller, M., Cable, P.H. et al. Fate of arsenicals in mice carrying the human AS3MT gene exposed to environmentally relevant levels of arsenite in drinking water. Sci Rep 13, 3660 (2023). https://doi.org/10.1038/s41598-023-30723-8\". Portions of this dataset are inaccessible because: Other data generated for this article is held at UNC Chapel Hill. They can be accessed through the following means: Dr. Miroslav Styblo (miroslav_styblo@med.unc.edu). Format: N/A. \n\nThis dataset is associated with the following publication:\nDouillet, C., M. Miller, P. Cable, Q. Shi, H. El-Masri, T. Matousek, B. Koller, D. Thomas, and M. Styblo. Fate of arsenicals in mice carrying the human AS3MT gene exposed to environmentally relevant levels of arsenite in drinking water.   Scientific Reports. Nature Publishing Group, London,  UK, 13(1): 3660, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528695",
      "keyword": [
        "inorganic",
        "urine",
        "methylated arsenicals",
        "Tissue"
      ],
      "contactPoint": {
        "fn": "Hisham El-Masri",
        "hasEmail": "mailto:el-masri.hisham@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528695/Supplementary%20Figures.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-03-04",
      "references": [
        "https://doi.org/10.1038/s41598-023-30723-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985638"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of a new method, Rapid Viability RT-PCR, for Detection of Live (Infectious) Coronavirus (SARS-CoV-2) that causes COVID-19 from swab.",
      "description": "There is a need for development of an analytical method for rapid detection of SARS-CoV-2 virus which is causing the COVID-19 pandemic.  Currently available traditional tissue/cell culture-based analytical method is too laborious and takes several days to get the results on the presence/absence of viable/infectious virus in a sample.  Such a delay in getting the sample analysis results can be a serious obstacle in rapidly determining the presence of infectious virus in environment which, in turn, can impact environmental epidemiological investigations and studies on surface transmission of this virus.  In this manuscript, development of a Rapid Viability Reverse Transcriptase Polymerase Chain Reaction (RV-RT-PCR) method that can significantly reduce the time-to-results for sample analysis from several days to less than a day is described.  The RV-RT-PCR method integrates cell-culture based enrichment of the virus with virus-specific RT-PCR analysis.  The RTPCR analysis is conducted before and after the cell-culture-virus (sample) incubation.  An optimum algorithm is established such that the resultant RT-PCR cycle threshold (CT) value difference between before and after cell-culture-virus incubation RT-PCR analyses determines the presence of viable/infectious virus in the sample.  The data set included here is from this research work. A manuscript has also been included here along with the Supplemental Tables for additional data. The Data-Metadata file includes all the data and a glossary to explain the scientific terms used. \n\nThis dataset is associated with the following publication:\nShah, S., S. Kane, M. Elsheikh, and T. Alfaro. Development of a Rapid Viability RT-PCR (RV-RT-PCR) Method to Detect Infectious SARS-CoV-2 from Swabs.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 297: 114251, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522571",
      "keyword": [
        "COVID-19",
        "SARS-CoV-2",
        "RV-RTPCR Method",
        "Methods development",
        "Indoor/outdoor Contamination Biological"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript_SARS-CoV-2 RV-RTPCR Method_SShah_20210921.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522571/Manuscript_SARS-CoV-2%20RV-RTPCR%20Method_SShah_20210921.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SUPPLE~1.PDF",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522571/SUPPLE~1.PDF",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEVELO~3.PDF",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522571/DEVELO~3.PDF",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SHE51B~1.DOC",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522571/SHE51B~1.DOC",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SUPPLE~4.DOC",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522571/SUPPLE~4.DOC",
          "mediaType": "application/msword",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-01",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2021.114251",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349479"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SH for Improving PM2.5 forecasts",
      "description": "-Aerosol Optical Depth (AOD) data sets are used from satellite instruments MODIS Terra and Aqua and VIIRS which included a combination of the Dark Tark and Deep Blue algorithms and AOD from the NASA AERONET Network.\n\n-Surface PM2.5 data sets are from the State and Local Monitoring Station and Interagency Monitoring of Protected Visual Environments Networks.\n\n-PM2.5 model based data sets are from 3 separate chemical transport models; GEOS-Chem, WRF-Chem, and WRF-CMAQ. The EPA WRF-CMAQ data set is publicly available via the U.S. EPA Remote Sensing Information Gateway application.  For CMAQ data access, users must first download and install the RSIG application at: https://www.epa.gov/hesc/remote-sensing-information-gateway. \n\nThis dataset is associated with the following publication:\nZhang, H., J. Wang, L. Castro Garcia, M. Zhou, C. Ge, T. Plessel, J. Szykman, R. Levy, B. Murphy, and T. Spero. Improving Surface PM2.5 Forecasts in the United States Using an Ensemble of Chemical Transport Model Outputs: 2. Bias Correction With Satellite Data for Rural Areas.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 127(1): e2021JD035563, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523478",
      "keyword": [
        "air quality",
        "PM2.5 air quality forecast",
        "Satellite Air Quality",
        "ensemble modeling"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://aqs.epa.gov/aqsweb/documents/data_mart_welcome.html",
          "accessURL": "https://aqs.epa.gov/aqsweb/documents/data_mart_welcome.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "accessURL": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://geos-chem.seas.harvard.edu",
          "accessURL": "https://geos-chem.seas.harvard.edu",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ruc.noaa.gov/wrf/wrf-chem",
          "accessURL": "https://ruc.noaa.gov/wrf/wrf-chem",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aeronet.gsfc.nasa.gov/new_web/data.html",
          "accessURL": "https://aeronet.gsfc.nasa.gov/new_web/data.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ladsweb.modaps.eosdis.nasa.gov/search/order/1",
          "accessURL": "https://ladsweb.modaps.eosdis.nasa.gov/search/order/1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://views.cira.colostate.edu/fed/",
          "accessURL": "https://views.cira.colostate.edu/fed/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-07",
      "references": [
        "https://doi.org/10.1029/2021jd035563"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Grinding Manuscript Raw Data",
      "description": "Raw data used to create figures and tables in the manuscript. \n\nThis dataset is associated with the following publication:\nAbulikemu, G., D. Wahman, G. Sorial, M. Nadagouda, E. Stebel, E. Womack, S. Smith, E. Kleiner, B. Gray, R. Taylor, C. Gastaldo, and J. Pressman. Role of Grinding Method on Granular Activated Carbon Characteristics.   Carbon Trends. Elsevier B.V., Amsterdam,  NETHERLANDS, 11: 100261, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527926",
      "keyword": [
        "Shock",
        "Surface properties",
        "adsorption",
        "granular activated carbon",
        "Grinding",
        "Shear"
      ],
      "contactPoint": {
        "fn": "Jonathan Pressman",
        "hasEmail": "mailto:pressman.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Grinding MS raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527926/Grinding%20MS%20raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-01",
      "references": [
        "https://doi.org/10.1016/j.cartre.2023.100261"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of 147 Perfluoroalkyl Substances for Immunosuppressive and other Activities Through Phenotypic Screening of Human Primary Cells",
      "description": "Dataset for journal article 'Evaluation of 147 Perfluoroalkyl Substances for Immunosuppressive and other Activities Through Phenotypic Screening of Human Primary Cells'. \nPer- and polyfluoroalkyl substances (PFAS) are a large class of chemicals in widespread use for diverse applications in commerce resulting in significant presence in the environment. Extensive studies of several of the highly produced members of the class have demonstrated potential for adverse health consequences to humans and the environment as well as highly pervasive and persistent exposures. Here we report testing results of 147 PFAS substances in a phenotypic screening platform of primary human cell co-culture systems, the BioMAP® Diversity PLUS panel, used to model complex tissue and disease biology of organs (vasculature, immune system, skin, lung) and general tissue biology. PFAS were tested at four concentrations ranging from approximately 0.06 to 60 micromolar in order to minimize influence from confounding effects of polypharmacology resulting from qualitatively different activities at higher concentrations. We also compared response profiles for all PFAS with an existing database of responses for the BioMAP assays to identify other potential mechanisms of activity for this diverse chemical family. \n\nThis dataset is associated with the following publication:\nHouck, K., K. Friedman, M. Feshuk, G. Patlewicz, M. Smeltz, M. Clifton, B. Wetmore, S. Velichko, A. Berenyi, and E. Berg. Evaluation of 147 perfluoroalkyl substances for immunotoxic and other (patho)physiological activities through phenotypic screening of human primary cells.   ALTEX. Society ALTEX Edition, Kuesnacht,  SWITZERLAND, 40(2): 248-270, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524717",
      "keyword": [
        "computational toxicology",
        "immunosuppression",
        "bioactivity screening",
        "PFAS",
        "primary cells",
        "chemical safety",
        "proteosome"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61ae8137e4b0eee4f6b365f2",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61ae8137e4b0eee4f6b365f2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-01",
      "references": [
        "https://doi.org/10.14573/altex.2203041"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS)",
      "description": "Data for Ann M. \"Richard, Ryan Lougee, Matthew Adams, Hannah Hidle, Chihae Yang, James Rathman, Tomasz Magdziarz, Bruno Bienfait, Antony J. Williams, and Grace Patlewicz, Chemical Research in Toxicology 2023 36 (3), 508-534, DOI: 10.1021/acs.chemrestox.2c00403\"\n\nTable S1 FP ToxPrint fingerprint matrix exported from the ChemoTyper for PFASSTRUCTV5 containing 14,735 rows indexed by DTXSID substance identifier and 729 columns indexed by ToxPrint names (alphabetized); \n\nTable S2 TxP_PFAS_v1.0.4 fingerprint matrix exported from the ChemoTyper for PFASSTRUCTV5 containing 14,735 rows indexed by DTXSID substance identifier and 129 columns indexed by TxP_PFAS_v1.0.4 chemotype names (alphabetized)\n\nTable S3 Chemotype count totals for TxP_PFAS_v1.0.4 mapped to PFASSTRUCTV5 compared to counts for PFASSTRUCTV4, as well as corresponding ToxPrint names where a close correspondence exists\n\nTable S4 Chemotype count totals for ToxPrints mapped to PFASSTRUCTV5 compared to counts for PFASSTRUCTV4, as well as indications of which ToxPrints have a closely corresponding TxP_PFAS chemotype\n\nTable S5 DSSTox chemical identifiers (DTXSID, SMILES, name, CASRN, formula) for PFASSTRUCTV5 list, indicator column for overlapping content in PFASSTRUCTV4 (10,586) and PFASOECD (3662) lists, indicator columns for the 7 TxP_PFAS chemotypes used in the OECD Category analysis of Section 5, indicator columns for chemicals containing one or more of the 20 TxP_PFAS fluorotelomer (FT) chemotypes or designated as an OECD FT, and assigned OECD Structure-Category Name for the 3662 overlapping OECD vs PFASSTRUCTV5 chemicals, with the last separated column listing the 106 unique OECD Structure Categories; PFASSTRUCTV5_20221101.sdf containing 14,735 structures, also described and available for viewing and download at: https://comptox.epa.gov/dashboard/chemical-lists/PFASSTRUCTV5; TxP_PFAS_v1.0.4.xml CSRML file containing coding for 129 TxP_PFAS chemotypes and their hierarchy index. \n\nThis dataset is associated with the following publication:\nRichard, A., R. Lougee, M. Adams, H. Hidle, C. Yang, J. Rathman, T. Magdziarz, A. Williams, G. Patlewicz, and B. Bienfait. A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS).   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 508-534, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528698",
      "keyword": [
        "Chemical Structure",
        "Functional Groups",
        "Molecules",
        "Alkyls",
        "Molecular Structure"
      ],
      "contactPoint": {
        "fn": "Ann Richard",
        "hasEmail": "mailto:richard.ann@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/files/641c7f66e4b08a6b393bd0bb?dataset=61147fefe4b0856fdc65639b&space=&folder=641c7e99e4b08a6b393bd0ae",
          "accessURL": "https://clowder.edap-cluster.com/files/641c7f66e4b08a6b393bd0bb?dataset=61147fefe4b0856fdc65639b&space=&folder=641c7e99e4b08a6b393bd0ae",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://comptox.epa.gov/dashboard/chemical-lists/PFASSTRUCTV5",
          "accessURL": "https://comptox.epa.gov/dashboard/chemical-lists/PFASSTRUCTV5",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TxP_PFAS_v1.0.4.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528698/TxP_PFAS_v1.0.4.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SuppInfo_TablesS1-S5_23Jan2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528698/SuppInfo_TablesS1-S5_23Jan2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-02",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.2c00403",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031568"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transparency in Modeling through Careful Application of OECD’s QSAR/QSPR Principles via a Curated Water Solubility Data Set",
      "description": "Figures, Tables, and QRMF for \"Charles N. Lowe, Nathaniel Charest, Christian Ramsland, Daniel T. Chang, Todd M. Martin, and Antony J. Williams\nChemical Research in Toxicology 2023 36 (3), 465-478\nDOI: 10.1021/acs.chemrestox.2c00379\". \n\nThis dataset is associated with the following publication:\nLowe, C., N. Charest, C. Ramsland, D. Chang, T. Martin, and A. Williams. Transparency in Modeling through Careful Application of OECD’s QSAR/QSPR Principles via a Curated Water Solubility Data Set.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 465-478, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528708",
      "keyword": [
        "qsar",
        "cheminformatics",
        "OECD validation principles",
        "water solubility",
        "databases"
      ],
      "contactPoint": {
        "fn": "Daniel Chang",
        "hasEmail": "mailto:chang.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables S1-S4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528708/Tables%20S1-S4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "QMRF for Water Solubility Model.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528708/QMRF%20for%20Water%20Solubility%20Model.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures S1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528708/Figures%20S1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-06",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.2c00379"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library",
      "description": "Code repository, data files, and supplementary information for \"Grace Patlewicz, Katie Paul-Friedman, Keith Houck, Li Zhang, Ruili Huang, Menghang Xia, Jason Brown, Steven O. Simmons, Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library, Computational Toxicology, Volume 26, 2023, 100271, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2023.100271.\". \n\nThis dataset is associated with the following publication:\nPatlewicz, G., K. Friedman, K. Houck, L. Zhang, R. Huang, M. Xia, J. Brown, and S. Simmons. Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 26: 100271, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528798",
      "keyword": [
        "In silico prediction models",
        "reaction mechanistic domains",
        "Tox21",
        "Reactivity assay"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/g-patlewicz/msti-tox21",
          "accessURL": "https://github.com/g-patlewicz/msti-tox21",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.22587706",
          "accessURL": "https://doi.org/10.23645/epacomptox.22587706",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528798/Supplementary%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-08",
      "references": [
        "https://doi.org/10.1016/j.comtox.2023.100271"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benign Zinc Oxide Betaine-Modified Biochar Nanocomposites for Phosphate Removal from Aqueous Water",
      "description": "XRD and TEM images. \n\nThis dataset is associated with the following publication:\nNakarmi, A., S. Bourdo, L. Ruhl, S.R. Kanel, M. Nadagouda, P. Kumar Alla, I. Pavel, and T. Viswanathan. Benign Zinc Oxide Betaine-Modified Biochar Nanocomposites for Phosphate Removal from Aqueous Water.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 272( ): 111048, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528807",
      "keyword": [
        "biochar",
        "Phosphate Removal",
        "wastewater",
        "Zinc Oxide",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0301479720309762?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0301479720309762?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XRD.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528807/XRD.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TEM images.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528807/TEM%20images.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-25",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2020.111048",
        "https://www.sciencedirect.com/science/article/pii/S0301479720309762?via%3Dihub"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Relationship between temperature and mortality in the United States: changes in city-level vulnerability and implications for future projections based on a geographically clustered meta-regression",
      "description": "This dataset supports the manuscript \"Relationship between temperature and mortality in the United States: changes in city level vulnerability and implications for future projections based on a geographically clustered meta-regression\", in press at Lancet Planetary Health. \n\nThe dataset includes a description of primary data sources, the code used to process the primary data, the intermediate data produced, and the code used to produce figures for the paper. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520971",
      "keyword": [
        "climate",
        "heat mortality",
        "adaptation"
      ],
      "contactPoint": {
        "fn": "Marcus Sarofim",
        "hasEmail": "mailto:sarofim.marcus@epa.gov"
      },
      "distribution": [
        {
          "title": "abt.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520971/abt.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species",
      "description": "Data and code for \"Dawson, D.E.; Lau, C.; Pradeep, P.; Sayre, R.R.; Judson, R.S.; Tornero-Velez, R.; Wambaugh, J.F. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics 2023, 11, 98. https://doi.org/10.3390/toxics11020098\"\n\nIncludes a link to R-markdown file allowing the application of the model to novel chemicals. \n\nThis dataset is associated with the following publication:\nDawson, D., C. Lau, P. Pradeep, R. Sayre, R. Judson, R. Tornero-Velez, and J. Wambaugh. A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species.   Toxics. MDPI, Basel,  SWITZERLAND, 11(2): 98, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528512",
      "keyword": [
        "PFAS",
        "machine learning model",
        "Half-Life",
        "toxicokinetics"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-PFASHalfLife",
          "accessURL": "https://github.com/USEPA/CompTox-PFASHalfLife",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1_Dawson et al._ML PFAS_HL_101322.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S1_Dawson%20et%20al._ML%20PFAS_HL_101322.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S3_Dawsonetal_PFAS_HL_101122.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S3_Dawsonetal_PFAS_HL_101122.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2_Dawson et al._ML PFAS_HL_101322.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528512/S2_Dawson%20et%20al._ML%20PFAS_HL_101322.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-18",
      "references": [
        "https://doi.org/10.3390/toxics11020098",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis",
      "description": "Data for \"Boyce Matthew, Favela Kristin A., Bonzo Jessica A., Chao Alex, Lizarraga Lucina E., Moody Laura R., Owens Elizabeth O., Patlewicz Grace, Shah Imran, Sobus Jon R., Thomas Russell S., Williams Antony J., Yau Alice, Wambaugh John F. Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis. Frontiers in Toxicology, 5, 2023 https://www.frontiersin.org/articles/10.3389/ftox.2023.1051483    10.3389/ftox.2023.1051483, 2673-3080. \n\nThis dataset is associated with the following publication:\nBoyce, M., K. Favela, J. Bonzo, A. Chao, L. Lizarraga, L. Moody, E. Owens, G. Patlewicz, I. Shah, J. Sobus, R. Thomas, A. Williams, A. Yau, and J. Wambaugh. Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1051483, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528517",
      "keyword": [
        "Xenobiotic",
        "LCMS",
        "in silico",
        "Metabolites"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-ExpoCast-SSAMetabolism",
          "accessURL": "https://github.com/USEPA/CompTox-ExpoCast-SSAMetabolism",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Material.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528517/Supplementary%20Material.zip",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-03",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1051483",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889941"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identification of differentially expressed genes and networks related to hepatic lipid dysfunction",
      "description": "Jaleh A. Abedini, Sakshi Handa, Stephen Edwards, Brian Chorley, Hisham El-Masri,\nIdentification of differentially expressed genes and networks related to hepatic lipid dysfunction, Toxicology and Applied Pharmacology, Volume 382, 2019, 114757, ISSN 0041-008X, https://doi.org/10.1016/j.taap.2019.114757. \n\nThis dataset is associated with the following publication:\nAbedini, J., S. Handa, S. Edwards, B. Chorley, and H. El-Masri. Identification of differentially expressed genes and networks related to hepatic lipid dysfunction.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 382: 114757, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528691",
      "keyword": [
        "steatosis",
        "pbpk",
        "bioinformatics",
        "ADME"
      ],
      "contactPoint": {
        "fn": "Hisham El-Masri",
        "hasEmail": "mailto:el-masri.hisham@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0041008X19303655-mmc3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc3.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0041008X19303655-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0041008X19303655-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0041008X19303655-mmc6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0041008X19303655-mmc5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0041008X19303655-mmc4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528691/1-s2.0-S0041008X19303655-mmc4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-11-01",
      "references": [
        "https://doi.org/10.1016/j.taap.2019.114757"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation results for water age analysis",
      "description": "Simulation results on water age analysis. Comparison of the results between EPAENT 2.2 and 2.0. \n\nThis dataset is associated with the following publication:\nBurkhart, B., and R. Janke. Understanding Water Age in Distribution Systems with EPANET.   Journal AWWA. American Water Works Association, Denver, CO, USA, 115(2): 24-34, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526551",
      "keyword": [
        "Water Age",
        "water quality",
        "Water Distribution System",
        "EPANET"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Organized Fig Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526551/SciHub%20Organized%20Fig%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-27",
      "references": [
        "https://doi.org/10.1002/awwa.2052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526551/documents/data.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for 'Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals'",
      "description": "First, we curated and selected experimental animal toxicity data and split them into two distinct data sets covering general noncancer effects and reproductive/developmental effects. Second, we collected POD values from regulatory data sources (PODreg) and compared these PODreg with the curated dose–response toxicity data to identify a statisti-cal approach for deriving surrogate oral PODs. Third, we systematically applied this approach to determine a surrogate POD for each substance in the two curated data sets. We then characterized the uncertainty around each of the surrogate PODs that was due to intrastudy and interstudy variability through a bootstrapping approach. Finally, using the surrogate PODs and their uncertainty, we derived both probabilistic RfDs and human population effect doses (I =10%) for use in health-based or comparative risk assessments and LCIA, respectively. \n\nThis dataset is associated with the following publication:\nAurisano, N., O. Jolliet, W. Chiu, R. Judson, S. Jang, A. Unnikrishnan, M. Kosnik, and P. Fantke. Probabilistic Points of Departure and Reference Doses for Characterizing Human Noncancer and Developmental/Reproductive Effects for 10,145 Chemicals.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 131(3): 037016, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528918",
      "keyword": [
        "point of departure",
        "CompTox Chemicals Dashboard",
        "ToxValDB",
        "in vivo"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Numeric data for Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528918/Numeric%20data%20for%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplemental Excel File_Data for tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528918/Supplemental%20Excel%20File_Data%20for%20tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2023-03-01",
      "references": [
        "https://doi.org/10.1289/ehp11524",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056221"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets associated with journal article 'Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example' by Nyffeler, J, et.al.",
      "description": "We evaluated the Templated Oligo with Sequencing Readout (TempO-Seq) assay for High-throughput transcriptomic screening of a small set of environmental chemicals. This assay yields sequencing reads of exactly 50 base pairs that can be rapidly aligned to generate gene counts, and is compatible with cell lysates prepared in multiwell format. The version of the TempO-Seq assay we evaluated provides nearly whole transcriptome coverage (>20,000 genes). This study encompasses 2 replicates of a 384-well plate design. The majority of wells contain U-2 OS cells exposed to 11 test chemicals at 7 different concentrations (two replicate per test chemical, concentration, and plate), and additional reference samples and controls. Controls include DMSO vehicle treatments (22 per plate). Reference samples include bulk lysate MCF7 samples (2 DMSO treated and 2 TSA treated samples per plate), reference chemical treatments (3 chemicals at single conc each, per plate), and vendor-provided reference RNA mixtures (UHRR and HBRR). \n\nThis dataset is associated with the following publication:\nNyffeler, J., C. Willis, D. Harris, L. Taylor, R. Judson, L. Everett, and J. Harrill. Combining phenotypic profiles and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: retinoic acid as an example..   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 444: 116032, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528482",
      "keyword": [
        "High Throughput Phenotypic Profiling",
        "computational toxicology",
        "New Approach Methods",
        "High-Throughput Transcriptomicss"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.16834519",
          "accessURL": "https://doi.org/10.23645/epacomptox.16834519",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE200845",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE200845",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-22",
      "references": [
        "https://doi.org/10.1016/j.taap.2022.116032"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measurements of SARS-CoV-2 and target concentrations in wastewater near Cincinnati, OH, from May to October 2020.",
      "description": "This dataset contains the raw droplet counts resulting from of ddPCR or RT-ddPCR of nucleic acid extracts from wastewater. The wastewater was collected from three different sewersheds in Southwest Ohio (Mill Creek WWTP, Taylor Creek WWTP, and a sub-sewershed, Lick Run). ddPCR counts (positive droplets and total droplets) are provided for the following targets: N1 and N2 (SARS-CoV-2 nucleocapsid genes), crAssphage, PMMoV, HF183 (all fecal indicators), and OC43 (an RNA spike-in from a cultured coronavirus). Other metadata (pH, flow, temperature, TSS, CBOD5) are provided where available. \n\nThis dataset is associated with the following publication:\nNagarkar, M., S. Keely, M. Jahne, E. Wheaton, C. Hart, B. Smith, J. Garland, E. Varughese, A. Braam, B. Wiechman, B. Morris, and N. Brinkman. SARS-CoV-2 Monitoring at three sewersheds of different scales and complexity demonstrates distinctive relationships between wastewater measurements and COVID-19 case data.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 816: 151534, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522921",
      "keyword": [
        "Centralized Wastewater Treatment System",
        "Coronavirus Disease 2019",
        "sewershed",
        "COVID-19 Surveillance",
        "ddPCR",
        "CrAssphage",
        "PMMoV",
        "hf183",
        "Ohio"
      ],
      "contactPoint": {
        "fn": "Maitreyi Nagarkar",
        "hasEmail": "mailto:nagarkar.maitreyi@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementaryTable3_072121.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522921/SupplementaryTable3_072121.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-21",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2021.151534",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590472"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for journal article 'The DevTox Germ Layer Reporter Platform: An Assay Adaptation of the Human Pluripotent Stem Cell Test'",
      "description": "The zip file enclosed contains README_Gamble_DevTox GLR_Sup Data_v1.docx, Gamble_DevTox GLR_Sup Fig_Submission_v1.docx, Gamble_DevTox GLR_Tables_Submission_v1.xlsx, Gamble_DevTox GLR_Sup Tables_Submission_v1.xlsx, ToxCast Pipeline plots for AEID 3093-3098. \n\nThis dataset is associated with the following publication:\nGamble, J., K. Hopperstad, and C. Deisenroth. The DevTox Germ Layer Reporter Platform: An Assay Adaptation of the Human Pluripotent Stem Cell Test.   Toxics. MDPI, Basel,  SWITZERLAND, 10(7): 392, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528921",
      "keyword": [
        "high-throughput screening",
        "pluripotent stem cells",
        "Developmental Toxicity",
        "endoderm differentiation"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "toxics-10-00392-s001.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528921/toxics-10-00392-s001.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-13",
      "references": [
        "https://doi.org/10.3390/toxics10070392",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321663"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-throughput AR dimerization assay identifies androgen disrupting chemicals and metabolites",
      "description": "Repository for supplemental files and code for paper titled \"High-throughput AR Dimerization Assay Identifies Androgen Disrupting Chemicals and Metabolites\", 2022. \n\nThis dataset is associated with the following publication:\nBrown, E., D. Hallinger, and S. Simmons. High-throughput AR Dimerization Assay Identifies Androgen Disrupting Chemicals and Metabolites.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1134783, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528946",
      "keyword": [
        "Androgen receptor",
        "high-throughput screening",
        "endocrine disruption",
        "CYP metabolism"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/SimmonsLabEPA/AR2-Assay-Method.git",
          "accessURL": "https://github.com/SimmonsLabEPA/AR2-Assay-Method.git",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-03",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1134783",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112521"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The use of gas chromatography – high resolution mass spectrometry for suspect screening and non-targeted analysis of per- and polyfluoroalkyl substances",
      "description": "Data for \"Jonathan S Casey, Stephen R Jackson, Jeff Ryan, Seth R Newton, The use of gas chromatography – high resolution mass spectrometry for suspect screening and non-targeted analysis of per- and polyfluoroalkyl substances, Journal of Chromatography A, Volume 1693, 2023, 463884, ISSN 0021-9673, https://doi.org/10.1016/j.chroma.2023.463884\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: Further data will be made available on request from Seth Newton (newton.seth@epa.gov). Format: N/A. \n\nThis dataset is associated with the following publication:\nCasey, J., S. Jackson, J. Ryan, and S. Newton. The use of gas chromatography – high resolution mass spectrometry for suspect screening and non-targeted analysis of per- and polyfluoroalkyl substances.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1693: 463884, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528935",
      "keyword": [
        "Products of Incomplete Combustion",
        "high-resolution mass spectrometry",
        "gas chromatography",
        "non-targeted analysis",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Seth Newton",
        "hasEmail": "mailto:newton.seth@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0021967323001127-mmc5.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528935/1-s2.0-S0021967323001127-mmc5.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0021967323001127-mmc4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528935/1-s2.0-S0021967323001127-mmc4.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0021967323001127-mmc3.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528935/1-s2.0-S0021967323001127-mmc3.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0021967323001127-mmc2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528935/1-s2.0-S0021967323001127-mmc2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0021967323001127-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528935/1-s2.0-S0021967323001127-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-17",
      "references": [
        "https://doi.org/10.1016/j.chroma.2023.463884"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Sensitivity of Northeast U.S. surface ozone predictions to the representation of atmospheric chemistry in CRACMMv1.0",
      "description": "Data include public CMAQv5.3-5.4 code, the exact CMAQ code used in the accompanying manuscript, chemistry box model (F0AM) inputs, and CMAQ predictions of ozone at AQS sites. Ozone units are ppb unless otherwise indicated.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528552",
      "keyword": [
        "Ozone",
        "NAAQS",
        "CMAQ",
        "monoterpenes",
        "LISTOS",
        "benzene",
        "CRACMM"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AQS_model_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528552/AQS_model_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528552/CMAQ_code.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "F0AM_files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528552/F0AM_files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for examining the impact of dimethyl sulfide emissions on atmospheric sulfate over the continental U.S.",
      "description": "CMAQ results without and with DMS emissions. \n\nThis dataset is associated with the following publication:\nSarwar, G., D. Kang, B. Henderson, C. Hogrefe, K. Appel, and R. Mathur. Examining the Impact of Dimethyl Sulfide Emissions on Atmospheric Sulfate over the Continental U.S..   ATMOSPHERE. MDPI, Basel,  SWITZERLAND, 14(4): 660, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528787",
      "keyword": [
        "CMAQ",
        "emissions",
        "seawater",
        "sulfate",
        "dimethylsulfide"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "COMBINE_ACONC_v54_cb6r5_ae7_aq_WR413_MYR_M3DRY_2018_12US1_NODMS_201807_sulfate_avg.nc.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528787/COMBINE_ACONC_v54_cb6r5_ae7_aq_WR413_MYR_M3DRY_2018_12US1_NODMS_201807_sulfate_avg.nc.tar",
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        },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528787/Figure_1_data.xlsx",
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      "references": [
        "https://doi.org/10.3390/atmos14040660"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
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      },
      "accessRights": "public"
    },
    {
      "title": "ARGs in Kewaunee County Riverbed Sediment and Surface Water: Data from Beattie et al. 2018",
      "description": "The relative abundance of antibiotic resistance genes measured from spatially and temporally distributed sampling in Kewaunee County, Wisconsin. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528692",
      "keyword": [
        "animal feeding operations",
        "sediments",
        "Antimicrobial Resistance AMR",
        "land application",
        "surface water",
        "antibiotic resistance"
      ],
      "contactPoint": {
        "fn": "Corinne Wiesner-Friedman",
        "hasEmail": "mailto:wiesnerfriedman.corinne@epa.gov"
      },
      "distribution": [
        {
          "title": "https://academic.oup.com/femsec/article/94/9/fiy131/5053804#supplementary-data",
          "accessURL": "https://academic.oup.com/femsec/article/94/9/fiy131/5053804#supplementary-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Load_Estimation_data_figs_2to5",
      "description": "the dataset includes daily flow and loads, and loads estimated from different estimation methods and sampling frequencies. This dataset is not publicly accessible because: it can be included. It can be accessed through the following means: through ScienceHub. Format: excel. \n\nThis dataset is associated with the following publication:\nKamrath, B., Y. Yuan, N. Manning, and L. Johnson. Influence of sampling frequency and estimation method on phosphorus load uncertainty in the Western Lake Erie Basin, Ohio, USA.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 617(B): 128906, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526425",
      "keyword": [
        "Lake Erie",
        "Uncertainty",
        "sampling frequency",
        "pollutant load estimate",
        "load estimation method",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [],
      "modified": "2023-04-14",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2022.128906",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054783",
        "https://pasteur.epa.gov/uploads/10.23719/1526425/documents/load_estimation_data_figs_2to5.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tuccillo et al. (2023) dataset",
      "description": "This dataset includes soils concentrations of selected metals (Al, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Ni, Pb, Si, Sr, Ti, V, and Zn). Concentrations are in mg/kg or parts per million. The dataset also includes Pb isotope ratios of soil samples (206Pb/204Pb; 207Pb/204Pb; 208Pb/204Pb). \n\nThis dataset is associated with the following publication:\nTuccillo, M.E., J. Blue, J. Koplos, J. Kelly, and R. Wilkin. Complexities in attributing lead contamination to specific sources in an industrial area of Philadelphia, PA.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 9(5): e15666, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528280",
      "keyword": [
        "lead isotopes",
        "soil",
        "Urban Lead",
        "lead"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Tuccillo et al. (2023) dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528280/Tuccillo%20et%20al.%20%282023%29%20dataset.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-15",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2023.e15666",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160504"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fish River Watershed Wetland Nutrient Modeling Data",
      "description": "The data are: 1) compilation of field observed nutrient and hydrometeorological data for the Upper Fish River Watershed (UFRW); 2) wetland and GIS data downloaded from national repositories for UFRW; 3) wetland nutrient data generated by the models for the UFRW; 4) output data (nutrient loads and removal rates) produced by the SWAT-WetQual (watershed-wetland) model framework for the UFRW; 5) global wetland nutrient function data obtained from literature; and 6) model data used in developing statistical regression relationships for nutrient removal rates and efficiencies.  \nNutrients: Nitrate and Orthophosphate. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528669",
      "keyword": [
        "Fish River Watershed",
        "SWAT",
        "WetQual",
        "nutrients",
        "nitrate",
        "phosphate",
        "wetlands",
        "loads"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_SWAT+WetQual_Manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528669/ScienceHub_SWAT%2BWetQual_Manuscript.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulation results and model files",
      "description": "Simulation results and the figures in the manuscript that are generated. \n\nThis dataset is associated with the following publication:\nShang, F., J. Burkhardt, and R. Murray. Random Walk Particle Tracking to Model Dispersion in Steady Laminar and Turbulent Pipe Flow.   JOURNAL OF HYDRAULIC ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(7): 04023022, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526402",
      "keyword": [
        "Dispersion",
        "modeling",
        "water quality",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "fig11.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig11.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig10.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig10.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig9.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig9.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig8.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig8.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig7.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig7.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig6.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig6.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig5.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig5.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig4.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig4.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig3.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig3.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/fig1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shang_data_for_python.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/Shang_data_for_python.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "sourceCodes.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/sourceCodes.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-31",
      "references": [
        "https://doi.org/10.1061/jhend8.hyeng-13405"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526402/documents/metadata.docx",
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      "accessRights": "public"
    },
    {
      "title": "Concentrations of human fecal indicators in wastewater in Kentucky sewersheds",
      "description": "This dataset reports concentrations of RNAse P, PMMoV, and CrAssphage, as measured by qPCR, in wastewater at 28 sites including water treatment plants as well as smaller sewersheds. All sites are in the Louisville, KY, USA metro area. This dataset is not publicly accessible because: The data was generated and is being stored with the first author, a non-EPA resesarcher. It can be accessed through the following means: This data can be accessed by emailing the first author, Rochelle Holm, at rochelle.holm@louisville.edu. Format: Excel spreadsheets with columns for the site, sample collection time and date, and concentration of RNase P, PMMoV, and CrAssphage (copies/ml of wastewater). \n\nThis dataset is associated with the following publication:\nHolm, R., M. Nagarkar, R. Yeager, D. Talley, A. Chaney, J. Rai, A. Mukherjee, S. Rai, A. Bhatnagar, and T. Smith. Surveillance of RNase P, PMMoV and CrAssphage in wastewater as indicators of human fecal density across urban sewer neighborhoods Kentucky.   FEMS Microbes. Oxford University Press, OXFORD,  UK, 3(1): 1-12, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528962",
      "keyword": [
        "human ribonuclease p",
        "cross-assembly phage",
        "fecal indicators",
        "Pepper Mild Mottle Virus",
        "Sanitation"
      ],
      "contactPoint": {
        "fn": "Maitreyi Nagarkar",
        "hasEmail": "mailto:nagarkar.maitreyi@epa.gov"
      },
      "distribution": [],
      "modified": "2022-01-29",
      "references": [
        "https://doi.org/10.1093/femsmc/xtac003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohio Wastewater Monitoring Network Interlaboratory Assessment: EPA/ORD lab data",
      "description": "An interlaboratory assessment of the 8 analytical laboratories participating in the Ohio Wastewater Monitoring Network was conducted. This assessment compared measured results of SARS-CoV-2 gene fragments, fecal indicator organism and matrix spike. The data provided here are the results generated by the EPA/ORD lab participating in the network. \n\nThis dataset is associated with the following publication:\nDavis, A., S. Keely, N. Brinkman, Z. Bohrer, Y. Ai, X. Mou, S. Chattopadhyay, O. Hershey, J. Senko, N. Hull , E. Lytmer, A. Quintero, and J. Lee. Evaluation of intra- and inter-lab variability in quantifying SARS-CoV-2 in a state-wide wastewater monitoring network.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9(4): 1053-1068, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528967",
      "keyword": [
        "method validation",
        "COVID-19",
        "wastewater surveillance",
        "crAss"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "Brinkman_CoV-lab-validation_20230505.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528967/Brinkman_CoV-lab-validation_20230505.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-05",
      "references": [
        "https://doi.org/10.1039/d2ew00737a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "State of Ohio and Cuyahoga River Watershed Nonpoint Source Section 319 Projects",
      "description": "The spatial data and metadata are in a Geopackage geodatabase accessible through the open-source geographic information system QGIS, and through R, the open-source statistical computing and graphics software. We studied the spatial distribution of best management practices (BMPs) from US EPA nonpoint source section (§)319 projects in Ohio as means to evaluate their effectiveness. We queried US EPA's Grants Reporting and Tracking System (GRTS) to obtain §319 projects, and their BMPs, completed by 2020-12-31 in the state of Ohio. The spatial layer ohio_bmp has 547 observations containing BMPs associated with specific §319 grant and project numbers, state project numbers, and huc12s. The spatial layer cuya_bmp_update2 has 78 BMP observations from the Cuyahoga River Basin. The fields from GRTS used in our study are described in the Data_Dictionary_of_319project_variables csv and Excel spreadsheet files. Our paper, Decreasing Trends in Total Suspended Solids and Cumulative Effects of Nonpoint Source Projects in the Cuyahoga River Watershed, OH, was published in the June 2023 issue of the Journal of Great Lakes Research. The abstract for that paper is here:\nUsing the US EPA’s Grants Reporting and Tracking System (GRTS), we test if completion of best management practices (BMPs) through the Clean Water Act Section (§)319 National Nonpoint Source Program was associated with a decreasing trend in total suspended solids (TSS) load (metric tons/year).  The study area chosen had 21 completed projects in the Cuyahoga River watershed in northeastern Ohio from 2000-2017.   The §319 projects ranged from dam removal, floodplain/wetland restoration to stormwater projects.  There was an overall decreasing trend in TSS loads.  We identified three phases of project implementation and completion, where Phase 1 had ongoing projects, but none completed (2000-2004).  The steepest decrease in loads, identified as Phase 2 (2005-2011), was associated with completion of low-head dam modification and removal projects on the mainstem of the Cuyahoga River.  A likely decreasing trend was associated with projects completed in the tributaries, such as natural channel design restoration and stormwater green infrastructure (Phase 3). Pairing sediment reduction estimates from projects with the river’s flow normalized TSS loading trend, we estimated that the §319 effort may account for a small fraction of the TSS load reduction.  Other stream restoration projects (non-§319) have also been done in the Cuyahoga watershed by other organizations.  However, trying to compile these other projects is challenging in larger watersheds having multiple municipalities, agencies, and nonprofits doing restoration without better coordinated record keeping and monitoring.  While a decreasing trend in a pollutant load is a desirable water quality outcome, determining what contributed to that trend remains difficult. \n\nThis dataset is associated with the following publication:\nMcManus, M., C. Nietch, M. Heberling, and L. Gains-Germain. Decreasing Trends in Total Suspended Solids and Cumulative Effects of Nonpoint Source Projects in the Cuyahoga River Watershed, OH.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 49(3): 608-620, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528700",
      "keyword": [
        "Load Reductions",
        "urban",
        "Cumulative Effects",
        "Diffuse Pollutants",
        "Grants Reporting and Tracking System (GRTS)"
      ],
      "contactPoint": {
        "fn": "Michael McManus",
        "hasEmail": "mailto:mcmanus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "State_of_Ohio_and_Cuyahoga_River_Watershed_NonPointSource_Section319_Projects.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528700/State_of_Ohio_and_Cuyahoga_River_Watershed_NonPointSource_Section319_Projects.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-24",
      "references": [
        "https://doi.org/10.1016/j.jglr.2023.03.011"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for a Spatial Causal Analysis of Wildland Fire-Contributed PM2.5 During Wildfire Seasons 2008 - 2012",
      "description": "Data during wildfire seasons (May 1 - October 31) over the years 2008 - 2012 in the contiguous U.S. used for spatial causal analysis of wildland fire-contributed PM2.5. The two sources of PM2.5 data are monitor data from the EPA’s Air Quality System (AQS) and simulated PM2.5 from the CMAQ model. \n\nThis dataset is associated with the following publication:\nLarsen, A., S. Yang, B. Reich, and A. Rappold. A spatial causal analysis of wildland fire-contributed PM2:5 using numerical model output.   Annals of Applied Statistics. Institute of Mathematical Statistics, Beachwood, OH, USA, 16(4): 2714-2731, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1503845",
      "keyword": [
        "Spacial Analysis",
        "Causal Inference",
        "CMAQ",
        "Wildfire smoke",
        "fine particulate matter (PM2.5)"
      ],
      "contactPoint": {
        "fn": "Alexandra Lee",
        "hasEmail": "mailto:larsen.alexandra@epa.gov"
      },
      "distribution": [
        {
          "title": "ftp://newftp.epa.gov/epadatacommons/ORD/LarsenAData",
          "accessURL": "ftp://newftp.epa.gov/epadatacommons/ORD/LarsenAData",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-09-25",
      "references": [
        "https://doi.org/10.1214/22-aoas1610",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181852",
        "https://www.epa.gov/aqs/aqs-data-dictionary",
        "https://www.epa.gov/cmaq/cmaq-data"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WQ_Lpculture",
      "description": "Contains Water quality data and Legionella pneumophila information by water sample. \n\nThis dataset is associated with the following publication:\nDonohue, M., M. Pham, S. Brown, K.  Easwaran, S. Vesper, and J. Mistry. Water Quality Influences Legionella pneumophila Determination.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 238: 119989, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527879",
      "keyword": [
        "water quality",
        "culture",
        "legionella",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_WQ_Lpculture.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527879/SciHub_WQ_Lpculture.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-19",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.119989"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Screening in an Estrogen Receptor Transactivation Assay with Metabolic Competence",
      "description": "This is an original dataset generated at the U.S. EPA. Data was analyzed with the ToxCast Pipeline and deposited for release in invitroDB accessible via the U.S. EPA CompTox Chemicals Dashboard.\nDataset is a zip file containing two Excel spreadsheets titled   AIME-ERTA_384_Tables_All_Submission_v2    and   README_AIME-ERTA_384_Manuscript_Sup_Data_v2. \n\nThis dataset is associated with the following publication:\nHopperstad, K., D. DeGroot, T. Zurlinden, C. Brinkman, R. Thomas, and C. Deisenroth. Chemical Screening in an Estrogen Receptor Transactivation Assay with Metabolic Competence.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  187(1): 112-126, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526313",
      "keyword": [
        "high-throughput screening",
        "xenobiotic metabolism",
        "estrogen receptor",
        "endocrine toxicology"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.s4mw6m97m",
          "accessURL": "https://doi.org/10.5061/dryad.s4mw6m97m",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-02",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac019"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolically active bacteria detected with click chemistry in low organic matter rainwater.",
      "description": "Measurement of total organic carbon, inorganic nutrients, pH, & specific conductance. Bacteria counts (total and active). \n\nThis dataset is associated with the following publication:\nGuillemette, R., M. Harwell, and C. Brown. Metabolically active bacteria detected with click chemistry in low organic matter rainwater.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(5): e0285816, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528349",
      "keyword": [
        "water reuse",
        "Rain bacteria",
        "microbiology",
        "active bacteria"
      ],
      "contactPoint": {
        "fn": "Ryan Guillemette",
        "hasEmail": "mailto:guillemette.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "Guillemette--Read me Data-.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528349/Guillemette--Read%20me%20Data-.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-13",
      "references": [
        "https://doi.org/10.1371/journal.pone.0285816",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194877"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Tracking end-of-life stage of chemicals: a scalable data-centric and chemical-centric approach\"",
      "description": "As described in the README.md file, the GitHub repository PRTR_transfers are Python scripts written to run a data-centric and chemical-centric framework for tracking EoL chemical flow transfers, identifying potential EoL exposure scenarios, and performing Chemical Flow Analysis (CFA). Also, the created Extract, Transform, and Load (ETL) pipeline leverages publicly-accessible Pollutant Release and Transfer Register (PRTR) systems belonging to Organization for Economic Cooperation and Development (OECD) member countries. The Life Cycle Inventory (LCI) data obtained by the ETL is stored in a Structured Query Language (SQL) database called PRTR_transfers that could be connected to Machine Learning Operations (MLOps) in production environments, making the framework scalable for real-world applications. The data ingestion pipeline can supply data at an annual rate, ensuring labeled data can be ingested into data-driven models if retraining is needed, especially to face problems like data and concept drift that could drastically affect the performance of data-driven models.\nAlso, it describes the Python libraries required for running the code, how to use it, the obtained outputs files after running the Python script, and how to obtain all manuscript figures (file Manuscript Figures-EDA.ipynb) and results. \n\nThis dataset is associated with the following publication:\nHernandez-Betancur, J.D., G.J. Ruiz-Mercado, and M. Martín. Tracking end-of-life stage of chemicals: A scalable data-centric and chemical-centric approach.   Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam,  NETHERLANDS, 196: 107031, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527757",
      "keyword": [
        "Environmental Releases",
        "TRI Chemicals",
        "Chemical-Centric",
        "End-of-life"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/PRTR_transfers",
          "accessURL": "https://github.com/USEPA/PRTR_transfers",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-27",
      "references": [
        "https://doi.org/10.1016/j.resconrec.2023.107031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecological characteristics impact PFAS concentrations in a U.S. North Atlantic food web- Dataset",
      "description": "PFAS concentration, stable isotope, and organism data are provided for archived samples of marine/estuarine organisms collected in Narragansett Bay, RI, and associated offshore waters from 2006-2014. Portions of this dataset are inaccessible because: Dataset will be provided as an Excel file upon publication in journal. They can be accessed through the following means: Dataset will be provided as an Excel file. Format: Dataset will be provided as an Excel file. \n\nThis dataset is associated with the following publication:\nHedgespeth, M.L., D.L. Taylor, S. Balint, M. Schwartz, and M.G. Cantwell. Ecological characteristics impact PFAS concentrations in a U.S. North Atlantic food web..   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 880(1 July 2023): 163302, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528286",
      "keyword": [
        "estuary",
        "bioaccumulation",
        "trophic magnification",
        "fluorochemical"
      ],
      "contactPoint": {
        "fn": "Melanie Hedgespeth",
        "hasEmail": "mailto:hedgespeth.melanie@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_SciHub_04182023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528286/Dataset_SciHub_04182023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.163302"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Marsh data",
      "description": "Soil and chemical data in first data file are for marshes in CA and NY. The soil data associated with the Ninigret marsh (RI) may be used by managers and restoration specialists assessing the vulnerability and condition of the similar salt marshes in RI. The data are site specific and may be of interest to the Prudence Island National Estuarine Research Reserve, Save the Bay, and the RI Coastal Resources Management Council. \n\nThis dataset is associated with the following publication:\nWatson, E., F.I. Rahman, A. Woolfolk, R. Meyer, N. Maher, C. Wigand, and A.B. Gray. High nutrient loads amplify carbon cycling across California and New York coastal wetlands but with ambiguous effects on marsh integrity and sustainability.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 17(9): e0273260, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526439",
      "keyword": [
        "eutrophication",
        "belowground production",
        "soil respiration",
        "Salt marsh",
        "marsh sustainability"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Ninigret_restoration_soil_strength_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526439/Ninigret_restoration_soil_strength_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ninigret_marsh_Soil_data_2015_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526439/Ninigret_marsh_Soil_data_2015_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526439/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-05",
      "references": [
        "https://doi.org/10.1371/journal.pone.0273260",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462672"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries",
      "description": "These are these are the data used in the paper:\nAssessing the relative importance of stressors to the benthic index, M-AMBI: an example from U.S. estuaries. \n\nThis dataset is associated with the following publication:\nPelletier, M., and M. Charpentier. Assessing the relative importance of stressors to the benthic index, M-AMBI: An example from U.S. estuaries.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 186: 114456, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527861",
      "keyword": [
        "Statistics",
        "Stressors",
        "benthic index",
        "M-AMBI",
        "random forest"
      ],
      "contactPoint": {
        "fn": "Marguerite Pelletier",
        "hasEmail": "mailto:pelletier.peg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://archive.epa.gov/emap/archive-emap/web/html/index.html",
          "accessURL": "https://archive.epa.gov/emap/archive-emap/web/html/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-16",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2022.114456",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Datasets for assessing lake and reservoir recreation suitability based on Landsat 8 water clarity",
      "description": "Water quality is a critical consideration in determining the beneficial uses of these waters. Water clarity has long been used by aquatic monitoring programs as a visual indicator of the condition of water quality. During field operations, water clarity is often monitored using an inexpensive Secchi disk. The Secchi disk is a 20-centimeter (8 inch) diameter metal or weighted plastic disk, normally black and white, which is attached to a measured line and lowered into a lake until it can be no longer seen. Therefore, Secchi depth becomes a visual measure of water clarity. \nThis dataset contains Secchi depths predicted from atmospherically corrected Landsat 8 spectral data collected from 2014 – 2018 for over 200 lakes and reservoirs in the continental United States and in situ Secchi data from eutrophic, mesotrophic, and oligotrophic lakes and reservoirs retrieved from the AquaSat database as well as the Water Quality Portal (WQP) and LAGOS-NE databases, which are paired (matched) with Landsat archived images collected within 1- 3 days of a sampling event.  The data are in tabular format in an EXCEL spreadsheet in *.xlsx format.\nThe data were collected to determine if Secchi depths could be accurately determined for inland lakes and reservoirs at continental scales from satellite derived inherent optical properties and light attenuation character of freshwater lakes and reservoirs. The predicted Secchi depth data were then used in an assessment framework to supplement social surveys which seek to assess the suitability of freshwater lakes and reservoirs for recreation based on public perception.\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528472",
      "keyword": [
        "Secchi Depth",
        "water clarity",
        "LANDSAT 8",
        "lakes and reservoirs"
      ],
      "contactPoint": {
        "fn": "Darryl Keith",
        "hasEmail": "mailto:keith.darryl@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/articles/dataset/AquaSat/8139383",
          "accessURL": "https://figshare.com/articles/dataset/AquaSat/8139383",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/cont-limno/LAGOS",
          "accessURL": "https://github.com/cont-limno/LAGOS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.waterqualitydata.us",
          "accessURL": "https://www.waterqualitydata.us",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supporting Datasets for assessing lake and reservoir recreation suitability based on Landsat 8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528472/Supporting%20Datasets%20for%20assessing%20lake%20and%20reservoir%20recreation%20suitability%20based%20on%20Landsat%208.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecosystem Services Benefits of Restoration BMPs in Chesapeake Bay",
      "description": "Data files provide the 1) baseline county values for each ecosystem service (County_Baseline_FEGS_Values.xlsx), 2) baseline county values for 2019 BMP implementation (County_BMP_2019.xlsx), 3) per acre values associated with BMP implementation for each ecosystem service (BMP_FEGS_Multipliers_PerAcre.xlsx), 4) descriptive connections between watershed outcomes and ecosystem services (FEGS_Outcomes_Connections.xlsx), and 5) descriptive connections between BMPs and ecosystem services or outcomes (BMP_FEGS_Outcome_Connections.xlsx). \n\nThis dataset is associated with the following publication:\nRossi, R., C. Bisland, B. Jenkins, V. Van Note, B. Williams, E. Trentacoste, and S. Yee. Chesapeake Bay RESES. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527805",
      "keyword": [
        "ecosystem services",
        "restoration",
        "Watershed",
        "best management practices",
        "Chesapeake Bay",
        "conservation"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "County_BMP_2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527805/County_BMP_2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "County_Baseline_FEGS_Values.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527805/County_Baseline_FEGS_Values.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BMP_FEGS_Multipliers_PerAcre.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527805/BMP_FEGS_Multipliers_PerAcre.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BMP_FEGS_Outcome_Connections.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527805/BMP_FEGS_Outcome_Connections.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-04",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1527805/documents/County_Shapefile.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MassBays Ecosystem Services Capacity",
      "description": "This data set contains multiple data sheets pertaining to the manuscript entitled: \"A Matrix Approach to Quantify Spatio-temporal Trends in Ecosystem Services Capacity for Massachusetts Bay National Estuary Embayments\". S1 includes seven excel sheets in total:  1) ecosystem service to habitat scoring matrix, 2)  literature review summary statistics for the matrix, 3) Raw Literature Values, 4) Literature Review Studies, 5) Services Classification Key, 6) Land Cover Classification Key, and 7) Aggregated Results for Mass Bays assessment areas.  S2 is a collection of maps and time series for each MassBays assessment area. \n\nThis dataset is associated with the following publication:\nBranoff, B., G. Cicchetti, S. Jackson, M. Pryor, L. Sharpe, E. Shumchenia, and S. Yee. Capturing twenty years of change in ecosystem services provided by coastal Massachusetts habitats.   Ecosystem Services. Elsevier Online, New York, NY, USA, 61: 101530, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528103",
      "keyword": [
        "Tidal Flat",
        "estuary",
        "Landscape",
        "Salt marsh",
        "seagrass",
        "connectivity",
        "Ecosystem Service"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "5.Supplementary S2 FinalPublished.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528103/5.Supplementary%20S2%20FinalPublished.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5. Supplementary (S1) FinalPublished.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528103/5.%20Supplementary%20%28S1%29%20FinalPublished.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-21",
      "references": [
        "https://doi.org/10.1016/j.ecoser.2023.101530",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208272",
        "https://pasteur.epa.gov/uploads/10.23719/1528103/documents/Code_and_InputFiles.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for a PFAS pestilcide pyrifluquinazon + dibutyl phthalate in utero mixture on male rat offspring reproductive development.  Dose Additive effects of dissimilarly acting toxicants ",
      "description": "data set has a description of the information in the excell file and all the data used in the study. \n\nThis dataset is associated with the following publication:\nGray, E., J. Conley, C. Lambright, and J. Furr. In utero exposure to a mixture of the perfluoroalkylisopropyl pesticide pyrifluquinazon with dibutyl phthalate\ncumulatively disrupts male rat reproductive development via different mechanisms of action.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  188(2): 234-247, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527806",
      "keyword": [
        "Reproductive Toxicity",
        "chemical mixtures",
        "Dose Additivity",
        "per and polyfluoroalkyl substances (PFAS)",
        "Dibutyl Phthalate"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "https://academic.oup.com/toxsci/article/188/2/234/6596614",
          "accessURL": "https://academic.oup.com/toxsci/article/188/2/234/6596614",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac059",
        "https://pasteur.epa.gov/uploads/10.23719/1527806/documents/supplemental%20file%20for%20DBP%20PLUS%20PFQ%20MIXTURE%20PAPER%20read%20only.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DINP VS T PROD AND INSL3 DOSE RESPONSE 2023",
      "description": "DATA USED IN PAPER. \n\nThis dataset is associated with the following publication:\nGray, L. Biologically relevant reductions in fetal testosterone and Insl3 induced by in utero exposure to high levels of di-isononyl phthalate (DINP) in male rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 465(116454): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528651",
      "keyword": [
        "Adverse Outcome Pathways (AOPs)",
        "chemical mixtures",
        "PFAS",
        "Cumulative Risk",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "DINP  2023 DATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528651/DINP%20%202023%20DATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-08",
      "references": [
        "https://doi.org/10.1016/j.taap.2023.116454"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantification of microplastics in sediments from Narragansett Bay, Rhode Island USA using a novel isolation and extraction method",
      "description": "These are the raw data associated with the manuscript, \"Quantification of microplastics in sediments from Narragansett Bay, Rhode Island USA using a novel isolation and extraction method\" All raw data also appears within supplementary materials of this publication. \n\nThis dataset is associated with the following publication:\nCashman, M., T. Langknecht, D. El Khatib, R. Burgess, T. Boving, S. Robinson, and K. Ho. Quantification of microplastics in sediments from Narragansett Bay, Rhode Island USA using a novel isolation and extraction method.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 174: 113254, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524368",
      "keyword": [
        "sediments",
        "cellulose acetate",
        "microplastics",
        "plastic",
        "Marine pollution"
      ],
      "contactPoint": {
        "fn": "Michaela Cashman",
        "hasEmail": "mailto:cashman.michaela@epa.gov"
      },
      "distribution": [
        {
          "title": "R1_data_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524368/R1_data_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-14",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2021.113254",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019827"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pressure Dependent Experimental Data",
      "description": "Fixture level pressure-flow data collected in a premise plumbing system rig. This data was used for model parameterization, and can be used by others for the same purpose, or for comparison to data collected in their systems. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., J. Minor, F. Shang, and W. Platten. Pressure Dependent Analysis in Premise Plumbing System Modeling.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 5(3): e1344, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526414",
      "keyword": [
        "modeling",
        "pressure dependence",
        "Premise Plumbing",
        "hydraulics"
      ],
      "contactPoint": {
        "fn": "Jonathan Burkhardt",
        "hasEmail": "mailto:burkhardt.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Skeleton_4home.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526414/Skeleton_4home.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Skeleton_1home.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526414/Skeleton_1home.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "F3_digitized.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526414/F3_digitized.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526414/figure_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FileInformation_PDA_paper.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526414/FileInformation_PDA_paper.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-05",
      "references": [
        "https://doi.org/10.1002/aws2.1344"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset from Seasonal Emission Factors from Rangeland Prescribed Burns in the Kansas Flint Hills Grasslands",
      "description": "Data from proposed journal publication, figures and tables, paper title: Seasonal Emission Factors from Rangeland Prescribed Burns in the Kansas Flint Hills Grasslands. \n\nThis dataset is associated with the following publication:\nAurell, J., B. Gullett, G. Grier, A. Holder, and I. George. Seasonal Emission Factors from Rangeland Prescribed Burns in the Kansas Flint Hills Grasslands.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 304: 119769, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527786",
      "keyword": [
        "season",
        "emissions",
        "prescribed burning",
        "agricultural burning",
        "Flint Hills"
      ],
      "contactPoint": {
        "fn": "Brian Gullett",
        "hasEmail": "mailto:gullett.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Kansas 07-28-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527786/Data%20Table%20Science%20Hub%20Kansas%2007-28-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2023.119769"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MODELING BIOLOGICAL INDICATORS ACROSS SPACE AND TIME AT A NATIONAL SCALE",
      "description": "Represents spatial predictions of biological condition at unsampled streams and lakes across the counterminous US. Also includes spatial predictions channel dimensions of unsamples streams. This dataset is not publicly accessible because: Demonstrated methodology for how they proposed to do the research. Produced prelimiary results, and used them to highlight limitations in current modeling. Data should not be accessed by the public, as it is still preliminary data. Another paper will be written at a later date that will include the final data. It can be accessed through the following means: It's not accessable at this time - preliminary data. Format: Tables with 1.1 million records for streams and 200,000 records for lakes - a combination of the StreamCat / LakeCat / NARS data that is already avaiable on epa external webpages. \n\nThis dataset is associated with the following publication:\nHill, R.A., C. Moore, J. Doyle, S. Leibowitz, P. Ringold, and B. Rashleigh. Estimating biotic integrity to capture existence value of freshwater ecosystems.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 120(8): e2120259119, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1519210",
      "keyword": [
        "streams",
        "catchments",
        "watersheds",
        "watershed metrics",
        "National Hydrography Dataset",
        "National Hydrography Dataset Plus (NHDPlus)",
        "spatial prediction",
        "aquatic condition",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1073/pnas.2120259119",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161049"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PbO2 Breakdown-driven Lead Release After Extended Low Water Use_Dataset",
      "description": "Water and corrosion scale sampling data associated with the paper: PbO2 Breakdown-Driven Lead Release from Extended Low Water Use.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524457",
      "keyword": [
        "lead",
        "Lead Service Line",
        "reduced water use",
        "Pb(IV)",
        "corrosion scales"
      ],
      "contactPoint": {
        "fn": "Michael Desantis",
        "hasEmail": "mailto:desantis.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "CI-1-Pb L4_XRD.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/CI-1-Pb%20L4_XRD.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CI-1-Pb L3_XRD.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/CI-1-Pb%20L3_XRD.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CI-1-Pb L2_XRD.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/CI-1-Pb%20L2_XRD.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CI-1-Pb L1_XRD.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/CI-1-Pb%20L1_XRD.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DeSantis_vacant house study_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/DeSantis_vacant%20house%20study_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1524457/documents/DeSantis_vacant%20house%20study_data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "AMR in urban karst groundwater systems",
      "description": "The data set includes relative abundances of antimicrobial resistance genes in urban karst groundwater systems in western Kentucky. This dataset is not publicly accessible because: This data was generated and is being stored with the first author, a non-EPA researcher. It can be accessed through the following means: This data can be accessed by emailing the first author, Rachel Kaiser at rakaiser42@tntech.edu. Format: Excel spreadsheets with columns for samples, sites, collection date and relative abundances. \n\nThis dataset is associated with the following publication:\nRachel , K., J. Polk, T. Datta, S. Keely, N. Brinkman, R. Parekh, and G. Agga. Occurrence and Prevalence of Antimicrobial Resistance in Urban Karst Groundwater Systems Based on Targeted Resistome Analysis.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 874: 162571, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529112",
      "keyword": [
        "urban resistome",
        "Antimicrobial Resistance AMR",
        "high-throughput qPCR",
        "urban karst ground"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.162571"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BMP Media Data_Sep 2022",
      "description": "Data used for figures in the Growth Media Efficacy in Biochemical Methane Potential Assays project. \n\nThis dataset is associated with the following publication:\nChickering, G., and T. Tolaymat. Growth Media Efficacy in Biochemical Methane Potential Assays.   Methane. MDPI, Basel,  SWITZERLAND, 2(2): 176-191, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528070",
      "keyword": [
        "bmp",
        "biogas",
        "biochemical methane potential",
        "methane generation"
      ],
      "contactPoint": {
        "fn": "Giles Chickering",
        "hasEmail": "mailto:chickering.giles@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_BMP Growth Media_Sep 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528070/SciHub_BMP%20Growth%20Media_Sep%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-06",
      "references": [
        "https://doi.org/10.3390/methane2020013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Organoid fusion videos",
      "description": "Videos show the progression of fusion in 3CT organoids in round bottom 96 well plate wells over the course of approximately 24hrs. Mesenchymal cells were stained with Cell Tracker Orange, Epithelial cells were stained with Cell Tracker Green, and Endothelial Cells (not shown) were stained with Cell Tracker Blue. All treatments shown are controls; 0.1% DMSO in Co Culture Media (CnT-PRIME CC CELLnTEC) and were imaged on a confocal (Nikon A/C 2) by taking an image at a constant position (X, Y, and Z) at set intervals (15min for video 1 and 10min for Videos 2-6). After capture, a scale bar was applied, and images were compiled into a video at 10 frames per second in NIS elements (Nikon). In FIJI (ImageJ), the videos were stabilized using the image stabilizer plug-in and manually timestamped. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529125",
      "keyword": [
        "video",
        "cells",
        "organoids",
        "fusion"
      ],
      "contactPoint": {
        "fn": "Rebecca Daniels",
        "hasEmail": "mailto:daniels.rebecca@epa.gov"
      },
      "distribution": [
        {
          "title": "Organiod Fusion Supplementary Materials.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529125/Organiod%20Fusion%20Supplementary%20Materials.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-EPA data for GoDeep Manuscript",
      "description": "GCAM-USA results in support of the manuscript. This dataset is not publicly accessible because: These data were generated by the lead author (Ou) and were not generated by PNNL. It can be accessed through the following means: The journal (Energy and Climate Change) requires availability of data, either by link or upon request. Format: Model results from GCAM-USA for the scenarios used in this manuscript. The files are XML format, stored in a BaseX database. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528992",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "air pollution",
        "climate change",
        "water demand",
        "energy",
        "mitigation"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [],
      "modified": "2023-03-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WNTR resilience analysis Pennsylvania drinking water system dataset",
      "description": "This is the dataset associated with the WNTR resilience analysis for a Pennsylvania drinking water utility. It contains the number of junctions and customers impacted following a pipe break scenario, the social-economic and environmental priority ranks for the pipe break scenarios, and the water service availability (WSA) for a tank outage, pump outage, and source water outage. The WSA is also provided for these outage scenarios and their respective emergency response actions. \n\nThis dataset is associated with the following publication:\nChu-Ketterer, J., W. Platten, S. Bolenbaugh, and T. Haxton. Resilience analysis and emergency response evaluation for drinking water systems.   Journal AWWA. American Water Works Association, Denver, CO, USA, 115(5): 32-42, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527876",
      "keyword": [
        "resilience",
        "EPANET",
        "emergency response",
        "Disaster planning",
        "WNTR",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527876/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-27",
      "references": [
        "https://doi.org/10.1002/awwa.2107"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for ‘Synoptic sketches’ of water quality along stream flowpaths: a watershed monitoring approach for heterogeneous landscapes",
      "description": "Water quality data collected from multiple streams in the Chesapeake Bay watershed. This dataset is not publicly accessible because: owned by University of Maryland co-authors. It can be accessed through the following means: email senior author, Dr. Sujay Kaushal skaushal@umd.edu. Format: Excel files. \n\nThis dataset is associated with the following publication:\nKaushal, S., C. Maas, P. Mayer, T. Newcomer Johnson, S. Grant, M. Rippy, R.R. Shatkay, J. Leathers, A. Gold, C. Smith, E.C. McMullen, S. Haq, R. Smith, S. Duan, J. Malin, A. Yuculak, J.E. Reimer, K. Delaney Newcomb, A. Sides Raley, D.C. Collinson, J.G. Gallella, M. Grese, G. Sivirichi, T.R. Doody, P. Vikesland, S.V. Bhide, L. Krauss, M. Daugherty, C. Stavrou, M. Etheredge, J. Ziegler, A. Kirschnick, W. England, and K.T. Belt. Longitudinal stream synoptic monitoring tracks chemicals along watershed continuums: a typology of trends.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 11: 1122485, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528636",
      "keyword": [
        "Ecological integrity",
        "Nonpoint sources",
        "Water monitoring",
        "chemical mixtures",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2023-03-01",
      "references": [
        "https://doi.org/10.3389/fenvs.2023.1122485"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sahle_SDMP_MICROPLASTICSEPA_kIM",
      "description": "Assessments of various sample prep methods for microplastic analysi. \n\nThis dataset is associated with the following publication:\nLee, H., S. Kim, A. Sin, G. Kim, S. Khan, M.N. Nadagouda, E. Sahle-Demessie, and C. Han. Pretreatment methods for monitoring microplastics in soil and freshwater sediment samples: A comprehensive review.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 871: 161718, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529101",
      "keyword": [
        "microplastics",
        "Pre-treatment",
        "soil sampling",
        "sediment",
        "sediments"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969723003339",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969723003339",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.161718",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245186"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529101/documents/Sahle_SDMP_MICROPLASTICSEPA_kIM.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA chemistry in sites <1000m2 with deposition as largest source Lassiter paper",
      "description": "Stream N and other water chemistry measurements originate from three national-scale, randomized, unequally weighted probability surveys of the U.S. EPA's National Rivers and Streams Assessment (NRSA) between 2000 and 2014, conducted as part of the National Aquatic Resource Surveys (NARS; https://www.epa.gov/national-aquaticresource-surveys/data-national-aquatic-resource-surveys). The NRSA sampling design assures a statistically valid assessment of the physical,\nchemical, and biological conditions of the population of U.S. streams and rivers.  The first of the NRSA surveys (2000–2004) also known as the Wadeable Streams Assessment (WSA) sampled wadeable (1st through 4th Strahler Order) streams in the 48 conterminous states. Additional surveys were conducted in 2008–2009 (survey 2) and 2013–2014 (survey 3), and included larger, non-wadeable sites. Each of the three surveys sampled roughly 2000 perennial stream/river sites, using a standardized probability-based sampling method that did not change over time.  Since large rivers and streams were not sampled during the 2000–2004 survey, we restricted our analyses to survey datasets with associated watershed areas <1000km2, sampled roughly 5 years apart. Analyses in this study were limited to watersheds where deposition was the largest source of anthropogenic N, determined using the fine-scaled National Nutrient Inventory (NNI) dataset that are based on downscaled HUC-8 level N inventory of the CONUS (improved based on (Sabo et al., 2019) and (Lin et al., 2021)).  \n\nSabo, R.D., Clark, C.M., Bash, J., Sobota, D., Cooter, E., Dobrowolski, J.P., Houlton, B.Z., Rea, A., Schwede, D., Morford, S.L. and Compton, J.E., 2019. Decadal shift in nitrogen inputs and fluxes across the contiguous United States: 2002–2012. Journal of Geophysical Research: Biogeosciences, 124(10), pp.3104-3124.\n\nLin, J., Compton, J.E., Hill, R.A., Herlihy, A.T., Sabo, R.D., Brooks, J.R., Weber, M., Pickard, B., Paulsen, S.G. and Stoddard, J.L., 2021. Context is everything: interacting inputs and landscape characteristics control stream nitrogen. Environmental science & technology, 55(12), pp.7890-7899. \n\nThis dataset is associated with the following publication:\nLassiter, M., J. Lin, J. Compton, J. Phelan, R. Sabo, J. Stoddard, S. McDow, and T. Greaver. Shifts in the Composition of Nitrogen Deposition in the Conterminous United States are Discernable in Stream Chemistry..   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 881: 163409, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529136",
      "keyword": [
        "streams",
        "trends",
        "nitrate",
        "Nitrogen and Co-pollutants",
        "nitrogen",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Deposition_largest_area1000_NARS_Lassiter.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529136/Deposition_largest_area1000_NARS_Lassiter.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.163409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dermal metafile for six studies for permeability estimation",
      "description": "Dermal absorption is an important route of exposure that includes pharmaceuticals, consumer products and occupational exposures. \"httk\" is being developed as a tool to predict internal dose after exposure. The dermal route will be added to this package in order to account for dermal exposure. \n\nThis dataset is associated with the following publication:\nEvans, M., T. Moxon, G. Lian, B. Deacon, T. Chen, L. Adams, A. Meade, and J. Wambaugh. A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 43(6): 940-950, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521084",
      "keyword": [
        "dermal permeability",
        "skin absorption"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "summary_paper_I.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521084/summary_paper_I.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-03-17",
      "references": [
        "https://doi.org/10.1002/jat.4435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Weitekamp et al. \"Triclosan-resistant host-associated microbiota perform xenobiotic biotransformations in larval zebrafish\"",
      "description": "This file contains data used to generate figures shown in Weitekamp et al. Triclosan-resistant host-associated microbiota perform xenobiotic biotransformations in larval zebrafish. \n\nThis dataset is associated with the following publication:\nWeitekamp, C., D. Phelps, A. Swank, J. McCord, J. Sobus, T. Catron, S. Keely, N. Brinkman, T. Zurlinden, E. Wheaton, M. Strynar, C. McQueen, C. Wood, and T. Tal. Triclosan-Selected Host-Associated Microbiota Perform Xenobiotic Biotransformations in Larval Zebrafish (2019).   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  172(1): 109-122, (2019).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1503415",
      "keyword": [
        "Non Targeted Analysis",
        "NTA",
        "Triclosan",
        "microbiome",
        "microbiota",
        "zebrafish",
        "antimicrobials",
        "toxicokinetics"
      ],
      "contactPoint": {
        "fn": "Tamara Tal",
        "hasEmail": "mailto:tal.tamara@epa.gov"
      },
      "distribution": [
        {
          "title": "MB4Dataset_20190327.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503415/MB4Dataset_20190327.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-27",
      "references": [
        "https://doi.org/10.1093/toxsci/kfz166"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and Figures for Testing PFAS Destruction with an Alumina-based Catalyst, Version 1, 2020-2022",
      "description": "This dataset contains the data used to create figures, and the figures, depicting the observation of fluorinated molecules emitted during the testing. \n\nThis dataset is associated with the following publication:\nShields, E., and M. Wallace. Low temperature destruction of gas-phase per- and polyfluoroalkyl substances using an alumina-based catalyst.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  0, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527784",
      "keyword": [
        "Pollution Control",
        "Alumina",
        "Catalyst",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "AluminaCatalystDataforFigures_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527784/AluminaCatalystDataforFigures_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://doi.org/10.1080/10962247.2023.2210103"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake Erie HABs Modeling Dataset",
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    {
      "title": "Dataset for 'Vinyl Chloride Enhances High Fat Diet-Induced Proteome Alterations in the Mouse Pancreas Related to Metabolic Dysfunction'",
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        "fn": "Yue Ge",
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    {
      "title": "Datasets for \"Early microRNA responses in rodent liver mediated by furan exposure establish dose thresholds for later adverse outcomes\" manuscript",
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          "title": "Fig. 1ABC filtered mRNA.xlsx",
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      "accessRights": "public"
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    {
      "title": "Rising temperatures of global freshwaters",
      "description": "Rising Temperatures of Global Freshwaters. \n\nThis dataset is associated with the following publication:\nKaushal, S., P. Mayer, G. Likens, J. Reimer, C. Maas, M.A. Rippy, S.B. Grant, I. Hart, R.M. Utz, R. Shatkay, B.M. Wessel, C.E. Maietta, M.L. Pace, S. Duan, W.L. Boger, A.M. Yaculak, J. Galella, K.L. Wood, C.J. Morel, W. Nguyen, S. Querubin, R. Sukert, A. Lowien, A. Wellman Houde, A. Roussel, A.J. Houston, A. Cacopardo, C. Ho, H. Talbot-Wendlandt, J.M. Widmer, J. Slagle, J.A. Bader, J. Hann Chong, J. Wollney, J. Kim, L. Shepherd, M.T. Wilfong, M. Houlihan, N. Sedghi, R. Butcher, S. Chaudhary, and W.D. Becker. Five State Factors Control Progressive Stages of Freshwater Salinization Syndrome.   Limnology and Oceanography Letters. John Wiley & Sons, Inc., Hoboken, NJ, USA, 8(1): 190-211, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
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        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528544",
      "keyword": [
        "ion exchange",
        "metals",
        "Urban growth",
        "Nitrogen and Co-pollutants",
        "groundwater",
        "chloride",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-042652 Final Supplementary Info.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528544/ORD-042652%20Final%20Supplementary%20Info.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "modified": "2023-02-01",
      "references": [
        "https://doi.org/10.1002/lol2.10248"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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      "accessRights": "public"
    },
    {
      "title": "Salt incubation data - Galella 2023 - Frontiers",
      "description": "Subset of data from an experimental salt incubation. \n\nThis dataset is associated with the following publication:\nGalella, J.G., S.S. Kaushal, P. Mayer, C.M. Maas, R.R. Shatkay, and R.A. Stutzke. Stormwater Best Management Practices: Experimental Evaluation of Chemical Cocktails Mobilized by Freshwater Salinization Syndrome.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 11: 1020914, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528789",
      "keyword": [
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        "chloride",
        "chemical mixtures",
        "Drinking water contaminants",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Salt incubation data - Galella 2023 - Frontiers.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528789/Salt%20incubation%20data%20-%20Galella%202023%20-%20Frontiers.xlsx",
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      "references": [
        "https://doi.org/10.3389/fenvs.2023.1020914",
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      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "CMAQ CONUS (12US2) Input data for 2015-12-22 to 2016-01-31",
      "description": "Input files for running the Community Multiscale Air Quality (CMAQ) modeling system.  Input files include emissions, meteorology, boundary and initial conditions, and other ancillary data needed for running a simulation over the contiguous United States (12US2 domain) for December 22, 2015 - January 31, 2016.  These input data can be used with two online tutorials described in Efstathiou et al. to set up and run a CMAQ simulation on Amazon Web Services and Microsoft Azure cloud computing resources. \n\nData are netcdf formatted files using I/O API data structures (https://www.cmascenter.org/ioapi/). Information on variables within the files (variable names and units) and the model projection and grid structure is contained in the header information of each netcdf file. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1529126",
      "keyword": [
        "air quality modeling",
        "Microsoft Azure",
        "cloud computing",
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        "CMAQ",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cmas-cmaq-conus2-benchmark.s3.amazonaws.com/index.html",
          "accessURL": "https://cmas-cmaq-conus2-benchmark.s3.amazonaws.com/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2022-06-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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    },
    {
      "title": "Plasma Protein Binding Evaluations of Per- and Polyfluoroalkyl Substances for Category-Based Toxicokinetic Assessment",
      "description": "Marci Smeltz, John F. Wambaugh, and Barbara A. Wetmore, Plasma Protein Binding Evaluations of Per- and Polyfluoroalkyl Substances for Category-Based Toxicokinetic Assessment, Chemical Research in Toxicology, 10.1021/acs.chemrestox.3c00003. \n\nThis dataset is associated with the following publication:\nSmeltz, M., J. Wambaugh, and B. Wetmore. Plasma Protein Binding Evaluations of Per- and Polyfluoroalkyl Substances for Category-Based Toxicokinetic Assessment.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(6): 870-871, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1529093",
      "keyword": [
        "plasma",
        "Assays",
        "Luminescence",
        "Alkyls",
        "Anions"
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      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Supp Files.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529093/Supp%20Files.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2023-05-15",
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        "https://doi.org/10.1021/acs.chemrestox.3c00003"
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                "name": "U.S. Government"
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          }
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    },
    {
      "title": "Dataset for 'From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow'",
      "description": "Data for Reardon AJF, et al., From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow. Front. Toxicol. 5:1194895. doi: 10.3389/ftox.2023.1194895. PMC10242042. \n\nThis dataset is associated with the following publication:\nReardon, A., R. Farmahin, A. Williams, M. Meier, G. Addicks, C. Yauk, G. Matteo, E. Atlas, J. Harrill, L. Everett, I. Shah, R. Judson, S. Ramaiahgari, S. Ferguson, and T. Barton-Maclaren. From vision toward best practices: Evaluating in vitro transcriptomic points of departure for application in risk assessment using a uniform workflow.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1194895, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
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      "identifier": "https://doi.org/10.23719/1529149",
      "keyword": [
        "New Approach Methods",
        "transcriptomics",
        "benchmark dose (BMD) modeling",
        "in vitro to in vivo extrapolation (IVIVE)",
        "chemical safety"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162855",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2023-03-21",
      "references": [
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      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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                "name": "U.S. Government"
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          }
        ]
      },
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    },
    {
      "title": "Dataset for 'Development of a bioprinter-based method for incorporating metabolic competence into high-throughput in vitro assays' ",
      "description": "Data for Hopperstad K and Deisenroth C (2023) Development of a bioprinter-based method for incorporating metabolic competence into high-throughput in vitro assays. Front. Toxicol. 5:1196245. doi: 10.3389/ftox.2023.1196245. PMC10192685. \n\nThis dataset is associated with the following publication:\nBreaux, K., and C. Deisenroth. Development of a Bioprinter-based Method for Incorporating Metabolic Competence into High-throughput In Vitro Assays.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1196245, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529102",
      "keyword": [
        "high-throughput screening",
        "xenobiotic metabolism",
        "New Approach Methods",
        "bioprinting",
        "endocrine toxicology"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "Breaux - AIME Bioprint - Supplementary Figures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529102/Breaux%20-%20AIME%20Bioprint%20-%20Supplementary%20Figures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Breaux - AIME Bioprint - Supplementary Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529102/Breaux%20-%20AIME%20Bioprint%20-%20Supplementary%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-25",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1196245",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192685"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Carbon and Nitrogen Stable Isotope Data for Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish",
      "description": "The data set contains the stable carbon and sulfur isotope ratios for fish tissue used in the manuscript.  The data is included in the file was used in Figures 3 and 6 of the manuscript and Figures S4 and S5 in the Supporting Documents. \n\nThis dataset is associated with the following publication:\nEckley, C.S., C. Eagles-Smith, T.P. Luxton, J. Hoffman, and S. Janssen. Using mercury stable isotope fractionation to identify the contribution of historical mercury mining sources present in downstream water, sediment and fish.   Frontiers in Environmental Chemistry. Frontiers, Lausanne,  SWITZERLAND, 4: 1096199, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529162",
      "keyword": [
        "mercury",
        "Source Attribution",
        "stable isotopes",
        "methylmercury",
        "mining"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Eckley et al_FrontEnvChem_2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529162/ScienceHub_Eckley%20et%20al_FrontEnvChem_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-01",
      "references": [
        "https://doi.org/10.3389/fenvc.2023.1096199",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10269370"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Acute Ozone-Induced Transcriptional Changes in Markers of Oxidative Stress and Glucocorticoid Signaling in the Rat Hippocampus and Hypothalamus are Sex-Specific",
      "description": "The dataset is comprised of multiple data-frames. Our focus is on sex and brain region specific responses to ozone in a rat model. The PCR data describes the gene expression from listed brain regions resulting from ozone exposure. Complex enzymes were also assayed due to their sensitivity to oxidative stress using biochemical colorimetric assays. And finally, we collected data for oxidative stress artifacts such as protein carbonyl productions, total antioxidants, and enzyme activity. \n\nThis dataset is associated with the following publication:\nValdez, M., D. Freeborn, P. Vulimiri, J. Valdez, U. Kodavanti, and P. Kodavanti. Acute Ozone-Induced Transcriptional Changes in Markers of Oxidative Stress and Glucocorticoid Signaling in the Rat Hippocampus and Hypothalamus are Sex-Specific..   International Journal of Molecular Sciences. MDPI, Basel,  SWITZERLAND, 24(7): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528538",
      "keyword": [
        "air pollution",
        "brain",
        "gender",
        "gene expression"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Gene Symbol Table.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/Gene%20Symbol%20Table.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "com2_dataframe.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/com2_dataframe.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "com1_dataframe.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/com1_dataframe.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "com4_dataframe.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/com4_dataframe.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "carbonylData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/carbonylData.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "rosData_2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/rosData_2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCRsummary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/PCRsummary.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-01",
      "references": [
        "https://doi.org/10.3390/ijms24076404",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094823"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528538/documents/datadictionary_MFO3.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Category-Based Toxicokinetic Evaluations of Data-Poor Per- and Polyfluoroalkyl Substances (PFAS) using Gas Chromatography Coupled with Mass Spectrometry",
      "description": "Supplementary material for \"Kreutz, A.; Clifton, M.S.; Henderson, W.M.; Smeltz, M.G.; Phillips, M.; Wambaugh, J.F.; Wetmore, B.A. Category-Based Toxicokinetic Evaluations of Data-Poor Per- and Polyfluoroalkyl Substances (PFAS) using Gas Chromatography Coupled with Mass Spectrometry. Toxics 2023, 11, 463. https://doi.org/10.3390/toxics11050463\". \n\nThis dataset is associated with the following publication:\nKreutz, A., M. Clifton, W. Henderson, M. Smeltz, M. Phillips, J. Wambaugh, and B. Wetmore. Category-Based Toxicokinetic Evaluations of Data-Poor Per- and Polyfluoroalkyl Substances (PFAS) using Gas Chromatography Coupled with Mass Spectrometry.   Toxics. MDPI, Basel,  SWITZERLAND, 11(5): 463, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529143",
      "keyword": [
        "New Approach Methods",
        "biotransformation",
        "plasma protein binding",
        "hepatic clearance",
        "toxicokinetics",
        "in vitro-in vivo extrapolation",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Materials.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529143/Supplementary%20Materials.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-08",
      "references": [
        "https://doi.org/10.3390/toxics11050463",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in \"Insights from adding transportation sector detail into an economy-wide model: The case of the ADAGE CGE model\"",
      "description": "In this project, we added transportation modes and representation of alternative fuel technologies to a computable general equilibrium (CGE) model (ADAGE), and illustrated the impact of these transportation sector details using AEO oil price scenarios. This dataset includes the model results supporting the publication, \"Insights from adding transportation sector detail into an economy-wide model: The case of the ADAGE CGE model.\"\n\nThe dataset includes 3 files. \"Adage_oilprice_main_results.xlsx\" shows the data presented in the results section of the paper. \"Adage_oilprice_fixed_factor.xlsx\" shows data from sensitivity scenarios presented in Appendix B of the paper. \"Adage_oilprice_alternative_nesting.xlsx\" shows data from sensitivity scenarios presented in Appendix C of the paper. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529164",
      "keyword": [
        "Alternative-Fuel Vehicle",
        "Economic Modeling",
        "ADAGE model"
      ],
      "contactPoint": {
        "fn": "Lauren Rafelski",
        "hasEmail": "mailto:rafelski.lauren@epa.gov"
      },
      "distribution": [
        {
          "title": "Adage_oilprice_alternative_nesting.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529164/Adage_oilprice_alternative_nesting.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Adage_oilprice_fixed_factor.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529164/Adage_oilprice_fixed_factor.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Adage_oilprice_main_results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529164/Adage_oilprice_main_results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-28",
      "references": [
        "https://dx.doi.org/10.1016/j.eneco.2023.106710",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394809"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Landfill Food Waste Diversion_April_12_2022",
      "description": "Dataset for Biodegradation Journal Manuscript \"Effects of Landfill Food Waste Diversion- a Focus on Microbial Populations and Methane Generation\" \n\nExcel file. \n\nThis dataset is associated with the following publication:\nChickering, G., M. Krause, and A. Schwarber. Effects of Landfill Food Waste Diversion: a Focus on Microbial Populations and Methane Generation.   BIODEGRADATION. Springer, New York, NY, USA,  1-12, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526323",
      "keyword": [
        "Landfill",
        "Methane",
        "food waste",
        "materials management"
      ],
      "contactPoint": {
        "fn": "Giles Chickering",
        "hasEmail": "mailto:chickering.giles@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_Figures_Food Waste Diversion_April 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526323/SciHub_Figures_Food%20Waste%20Diversion_April%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-12",
      "references": [
        "https://doi.org/10.1007/s10532-023-10034-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GHG Dataset",
      "description": "this is the landfill gas flow, methane flow and carbon dioxide flow. \n\nThis dataset is associated with the following publication:\nJain, P., J. Wally, T. Townsend, M. Krause, and T. Tolaymat. Greenhouse gas reporting data improves understanding of regional climate impact on landfill methane production and collection.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 16(2): e0246334, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518680",
      "keyword": [
        "landfills",
        "Greenhouse gas",
        "Methane",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "GHG Manuscript Supporting Information.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518680/GHG%20Manuscript%20Supporting%20Information.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/ghgreporting",
          "accessURL": "https://www.epa.gov/ghgreporting",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-11-25",
      "references": [
        "https://doi.org/10.1371/journal.pone.0246334",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset - A Computational Simulator for Incineration of Wastes Generated from Cleanup of Chemical and Biological Contamination Incidents",
      "description": "The figures in the paper are outputs from the model based on example run conditions.Figures 4 and 5 show comparisons between the model predictions and measured data from the EPA Lab Kiln module.  Figure 6 shows the difference between using the Z-Value and the Arrhenius approach to the kinetics of biological agent destruction.  Figures 7 and 8 are 3-D heat maps of the temperature and oxygen concentration, respectively, in the commercial rotary kiln module.  They are raster pictures so they are not the traditional x-y coordinate graphs.  Figure 9 shows streamlines within the primary combustion chamber of the commercial rotary kiln and predicted destruction of the GB nerve agent along those streamlines.  Figure 10 shows predicted gas temperature along a streamline in the commercial rotary kiln module.  Figure 11 shows example predictions of the mole fraction of 3 chemical warfare agents along streamlines in the commercial rotary kiln module. Figures 12 and 13 show predicted destruction and waste \"piece\" temperature of the biological agent Bacillus anthracis in bundles of carpet in the commercial rotary kiln. \n\nThis dataset is associated with the following publication:\nLemieux, P., T. Boe, A. Tschursin, M. Denison, K. Davis, and D. Swenson. Computational simulation of incineration of chemically and biologically contaminated wastes.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 71(4): 462-476, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1517666",
      "keyword": [
        "incineration",
        "computer simulation",
        "incomplete combustion",
        "chemical warfare agents",
        "biological agent"
      ],
      "contactPoint": {
        "fn": "Paul Lemieux",
        "hasEmail": "mailto:lemieux.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%206.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%2010.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 12.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%2012.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 11.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%2011.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 13.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%2013.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%209.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%207.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/Figure%208.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-12",
      "references": [
        "https://doi.org/10.1080/10962247.2020.1853627"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1517666/documents/Lemieux%20Data%20Dictionary%20for%20CFS%20Paper%20r2.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Per- and Polyfluoroalkyl Substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids",
      "description": "Data for \"Addicks GC, Rowan-Carroll A, Reardon A, Leingartner K, Williams A, Meier MJ, Moffat I, Carrier R, Lorusso L, Wetmore BA, Yauk C, Atlas E. Per- and Polyfluoroalkyl Substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids. Toxicol Sci. 2023 May 17:kfad044. doi: 10.1093/toxsci/kfad044. Epub ahead of print. PMID: 37195416.\". \n\nThis dataset is associated with the following publication:\nAddicks, G., A. Rowan-Carroll, A. Reardon, K. Leingartner, A. Williams, M. Meier, I. Moffat, R. Carrier, L. Lorusso, B. Wetmore, C. Yauk, and E. Atlas. Per- and polyfluoroalkyl substances (PFAS) in mixtures show additive effects on transcriptomic points of departure in human liver spheroids.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  194(1): 38-52, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529094",
      "keyword": [
        "PFAS",
        "Benchmark Concentration",
        "New Approach Methodology",
        "TempO-SeqTM",
        "Mixture Toxicity",
        "liver spheroids"
      ],
      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=6467aab7e4b08a6b394cd6ca&page=0",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=6467aab7e4b08a6b394cd6ca&page=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-17",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad044",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306399"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-rr5q_dataset_20200526.docx",
      "description": "All data is tabulated within the journal article. This dataset is not publicly accessible because: All data is tabulated within the journal article. It can be accessed through the following means: All data is tabulated within the journal article. Format: All data is tabulated within the journal article. \n\nThis dataset is associated with the following publication:\nKaminski, M., K. Sanders, K. Hepler, M. Magnuson, and J. Slagley. External Dose to Recovery Teams Following a Wide-Area Nuclear or Radiological Release Event.   HEALTH PHYSICS. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 120(6): 591-599, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1518719",
      "keyword": [
        "Decontamination",
        "dose",
        "personnel",
        "surface contamination",
        "cesium/caesium"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-26",
      "references": [
        "https://doi.org/10.1097/hp.0000000000001381"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS Lake and Stream Predictor Dataset, V1",
      "description": "This dataset allows the user to explore the potential impacts of various environmental and anthropogenic drivers on observed growing season total phosphorus concentrations in lakes and streams across the United States.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528186",
      "keyword": [
        "lakes",
        "rivers",
        "rivers/streams",
        "National Rivers and Streams Assessment Program",
        "National Lakes Assessment",
        "phosphorus",
        "total phosphorus",
        "legacy nutrients",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Predictor_Response_Variable_Dataset_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528186/Copy%20of%20Predictor_Response_Variable_Dataset_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chesapeake Bay Nutrient Inventory (1985-2019)",
      "description": "Leverage existing nutrient input/output data from the Chesapeake Bay Program's CAST database to develop nitrogen and phosphorus inventories. These inventories will highlight spatiotemporal variability in point and non-point source pollution throughout the watershed, and can be used to monitor progress in decreasing pollution sources as well as retrospective water quality analyses looking to explain past water quality trends. \n\nThis dataset is associated with the following publication:\nSabo, R., B. Sullivan, C. Wu, E. Trentacoste, Q. Zhang, G. Shenk, G. Bhatt, and L. Linker. Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 4: 1-19, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529159",
      "keyword": [
        "wastewater treatment",
        "Agriculture",
        "surface water",
        "Nitrogen and Co-pollutants",
        "air pollution",
        "Phosphorus and Nitrogen"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://iopscience.iop.org/article/10.1088/2515-7620/ac5db6",
          "accessURL": "https://iopscience.iop.org/article/10.1088/2515-7620/ac5db6",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://cast.chesapeakebay.net/",
          "accessURL": "https://cast.chesapeakebay.net/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-05-06",
      "references": [
        "https://doi.org/10.1088/2515-7620/ac5db6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116850"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IEUBK evaluation dataset",
      "description": "All data are provided within report tables available on the website with appropriate header information. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Publicly available data used for this evaluation are located at https://cfpub.epa.gov/ncea/risk/\r\nrecordisplay.cfm?deid=351563. Additional BHSS details are publicly available at\r\nhttps://cumulis.epa.gov/supercpad/cursites/csitinfo.cfm?id=1000195. Format: The data used for this evaluation were collected during routine BLL monitoring at the Bunker Hill Superfund (BHSS) site by the local Kellogg Idaho Panhandle Health District under the auspices of the Idaho Department of Environmental Quality (IDEQ). IDEQ contracts with Alta Science and Engineering, Inc. for technical, scientific, and engineering services at the BHSS, including maintaining the blood Pb and environmental databases. Alta maintains these data in a confidential (coded) format that prevents the identification of the participants and their home locations. With permission of IDEQ, Alta staff used paired BHSS BLL and environmental media concentration data to evaluate the IEUBK model v2.0. Transfer of individual or confidential data from Alta to SRC and EPA was expressly prohibited. \n\nThis dataset is associated with the following publication:\nBrown, J. Evaluation of IEUBK journal article.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  36123530, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528515",
      "keyword": [
        "lead",
        "IEUBK model",
        "human health risk assessment",
        "Bunker Hill"
      ],
      "contactPoint": {
        "fn": "James Brown",
        "hasEmail": "mailto:brown.james@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-07",
      "references": [
        "https://doi.org/10.1038/s41370-022-00473-2",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150374"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Biosolids PFAS data",
      "description": "Data were generated at the University of Florida. This dataset is not publicly accessible because: Data are not owned by EPA/ORD. It can be accessed through the following means: contact the study lead Dr. Timothy Townsend (ttown@ufl.edu). Format: Data were generated at the University of Florida. \n\nThis dataset is associated with the following publication:\nThompson, J., N. Robey, T. Tolaymat, J. Bowden, H.M. Solo-Gabriele, and T. Townsend. Underestimation of Per- and Polyfluoroalkyl Substances in Biosolids: Precursor Transformation During Conventional Treatment.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(9): 3825-3832, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527714",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "biosolids"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [],
      "modified": "2022-07-08",
      "references": [
        "https://doi.org/10.1021/acs.est.2c06189"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohio County WV oil and gas mobile study dataset and data dictionary",
      "description": "This is the dataset and data dictionary for the paper titled \"Quantification of natural gas and other hydrocarbons from production sites in northern West Virginia using tracer flux ratio methodology\". \n\nThis dataset is associated with the following publication:\nDaube, C., S. Herndon, J. Krechmer, D. Johnson, N. Clark, T. Footer, and E. Thoma. Quantification of natural gas and other hydrocarbons from production sites in northern West Virginia using tracer flux ratio methodology.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 19: na, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528084",
      "keyword": [
        "climate change",
        "Agriculture",
        "Air monitoring",
        "Oil and Gas",
        "emissions",
        "Methane",
        "NGEM",
        "OGI"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "Ohio County WV oil and gas mobile study dataset and data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528084/Ohio%20County%20WV%20oil%20and%20gas%20mobile%20study%20dataset%20and%20data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-17",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2023.100220"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pilot-scale simulators and metagenomic to understand the storage tank ecosystem (JAWWA)",
      "description": "An abundance matrix (Table - 16S rRNA taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads and percentage of all reads obtained for each individual sample.\n\nA table (Table - antibiotic resistance genes.xlsx) contains rows as antibiotic resistance genes (AMR), columns as AMR gene symbol, AMR gene name, AMR type, AMR subtype, AMR class, and AMR subclass at each tank.\n\nA table (Table - metabolic pathways relative abundance.xlsx) contains rows as metabolic pathways, columns as samples, and entries representing the relative abundance of each pathway.\n\nA table (Table - samples.xlsx) with description of storage tank and their locations.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529128",
      "keyword": [
        "storage tanks",
        "microbial communities",
        "drinking water distribution systems"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "Table - samples.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529128/Table%20-%20samples.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table - antibiotic resistance genes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529128/Table%20-%20antibiotic%20resistance%20genes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table - metabolic pathways relative abundance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529128/Table%20-%20metabolic%20pathways%20relative%20abundance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table - 16S rRNA taxonomy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529128/Table%20-%2016S%20rRNA%20taxonomy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from Newes et al. from the Biomass Scenario Model focusing on ethanol_v1",
      "description": "This dataset was developed by the DOE's National Renewable Energy Lab to use the Biomass Scenario Model (BSM) to better understand how the RFS Program and other factors influenced the growth of the U.S. ethanol industry from 2002-2019. It is being published in a peer-reviewed journal article (STICS ID: ORD-041410). It examines the effect of five factors on the growth of the industry, including price competition between oil and ethanol, match blending, the RFS Program as embodied in Renewable Identification Numbers (RINs), the Volumetric Excise Tax Credit (VEETC), and methyl tert-butyl ether (MTBE) as an octane enhancer. \n\nThis dataset is associated with the following publication:\nNewes, E., C. Clark, L. Vimmerstedt, S. Peterson, D. Burkholder, D. Korotney, and D. Inman. Ethanol production in the United States: The roles of policy, price, and demand.   Energy Policy. Elsevier BV, AMSTERDAM,  NETHERLANDS, 161: 1-10, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1521147",
      "keyword": [
        "biofuels",
        "Renewable Fuel Standard",
        "corn",
        "ethanol"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Newes et al BSM data_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521147/Newes%20et%20al%20BSM%20data_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-03-30",
      "references": [
        "https://doi.org/10.1016/j.enpol.2021.112713",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116853"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pinones VESPER SciHUB",
      "description": "The data is described by the Excel sheet tab names.  For example, the first Sheet \"Treatment designation\" shows whether the sample came from a classroom that received the HEPA or Control treatment.  The second Sheet, Schools all\" shows the ERMI results for  each of the classrooms.  The third Sheet, \"Homes all\", shows the ERMI results for each of the homes.  Each tab name describes what is found on that sheet. \n\nThis dataset is associated with the following publication:\nBolanos-Rosero, B., X. Hernandez-Gonzalez, ‪.E. Cavallín-Calanche, F. Godoy-Vitorino, and S. Vesper. Impact of Hurricane Maria on mold levels in the homes of Piñones, Puerto Rico.   Air Quality, Atmosphere & Health. Springer Netherlands,   NETHERLANDS, 16: 661-668, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522398",
      "keyword": [
        "Environmental Justice",
        "Puerto Rico",
        "mold",
        "hurricane",
        "Housing",
        "Construction materials"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Pinones VESPER SciHUB .xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522398/Pinones%20VESPER%20SciHUB%20.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-23",
      "references": [
        "https://doi.org/10.1007/s11869-022-01297-7",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259649"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Coughlin et al. (2023) on impacts from N and S deposition on tree species across the CONUS",
      "description": "This is the metadata for Coughlin et al. (2023) which estimates effects from atmospheric deposition of nitrogen (N) and sulfur (S) on tree species across the CONUS. The dataset is too large for sharing via Science Hub, so only the metadata are uploaded. Please contact Christopher Clark (clark.christopher@epa.gov) to access the underlying data files.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529199",
      "keyword": [
        "sulfur",
        "atmospheric deposition",
        "Nitrogen and Co-pollutants",
        "climate change",
        "NAAQS",
        "critical loads"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "geodatabase_metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529199/geodatabase_metadata.xlsx",
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        },
        {
          "title": "csv_metadata.xlsx",
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Accumulation of PFAS in vegetation and deep soils",
      "description": "This file contains data from accumulation of chloro perfluoro polyether carboxylate (Cl-PFPECA) and legacy perfluorocarboxylate PFAS in native vegetation and subsoil samples collected in New Jersey by New Jersey state government personnel. Samples were originally processed and extracted in Athens, GA EPA/ORD/NERL/EMMD laboratory by Tom Jenkins and John Washington. Samples were analyzed for PFAS on the Waters LC-MS/MS instruments in Athens, GA EPA/ORD/CEMM/EPD laboratory by Mary Davis, Marina Evich, and John Washington. Instrument output was reviewed and optimized by Mary Davis, Marina Evich, and John Washington. \n\nThis dataset is associated with the following publication:\nDavis, M., M. Evich, S. Goodrow, and J. Washington. Environmental Fate of Cl-PFPECAs: Accumulation of Novel and Legacy Perfluoroalkyl Compounds in Real-World Vegetation and Subsoils.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(24): 8994–9004, (2023).",
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      "bureauCode": [
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      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1528418",
      "keyword": [
        "environmental contaminants",
        "PFAS",
        "accumulation factors",
        "PFAS alternatives",
        "next-generation chemicals",
        "polyfluorinated alkyl substances"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_data supporting Davis et al.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528418/SciHub_data%20supporting%20Davis%20et%20al.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-12",
      "references": [
        "https://doi.org/10.1021/acs.est.3c00665"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
      "accessRights": "public"
    },
    {
      "title": "AnCOR Task 2.1 Modeling Data",
      "description": "Stormwater modeling results for spore transport. \n\nThis dataset is associated with the following publication:\nYuan, L., A. Mikelonis, and E. Yan. Using SWMM for Emergency Response Planning: A Case Study Evaluating Biological Agent Transport under Various Rainfall Scenarios and Urban Surfaces.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 458(15): 131747, (2023).",
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      ],
      "identifier": "https://doi.org/10.23719/1528466",
      "keyword": [
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        "fate and transport",
        "biological agent",
        "stormwater"
      ],
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        "fn": "Lifeng Yuan",
        "hasEmail": "mailto:yuan.lifeng@epa.gov"
      },
      "distribution": [
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          "title": "Readme.txt",
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          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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        "https://doi.org/10.1016/j.jhazmat.2023.131747"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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      "accessRights": "public"
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    {
      "title": "AnCOR2_1FieldPaperSciHubData",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528279",
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        "stormwater",
        "homeland security",
        "washoff",
        "fate and transport"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
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          "title": "AnCOR2_1FieldPaperSciHubData.xlsx",
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        "https://doi.org/10.1016/j.scitotenv.2023.165307"
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            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
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    },
    {
      "title": "A Multiple Linear Regression Approach to the Estimation of Carboxylic Acid Ester and Lactone Alkaline Hydrolysis Rate Constants",
      "description": "The dataset contains identifying information (name, SMILES string), measured hydrolysis rate constants, and calculated molecular descriptors for 223 carboxylic acid esters and 108 lactones. The descriptors include pKa values, charge (and electronegativity), charge density (by Hückel analysis), and steric parameters (both topological and geometrical). \n\nThis dataset is associated with the following publication:\nLazare, J., C. Stevens, and E. Weber. A multiple linear regression approach to the estimation of carboxylic acid ester and lactone alkaline hydrolysis rate constants.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 34(3): 183-210, (2023).",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528417",
      "keyword": [
        "cheminformatics",
        "qsar",
        "Predictive model",
        "hydrolysis",
        "rate constant"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "CAEandLactoneHydrolysisDataset_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528417/CAEandLactoneHydrolysisDataset_final.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2023-03-28",
      "references": [
        "https://doi.org/10.1080/1062936x.2023.2188608"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
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    },
    {
      "title": "Physical Chemical Parameters",
      "description": "data presented to show correlation between PFAS in leachate and physical chemical parameters. \n\nThis dataset is associated with the following publication:\nZhang, H., Y. Chen, Y. Liu, J. Bowden, T. Tolaymat, T. Townsend, and H. Solo-Gabriele. Relationships between Per- and Polyfluoroalkyl Substances (PFAS) and Physical-Chemical Parameters in Aqueous Landfill Samples.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 329: 138541, (2023).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527827",
      "keyword": [
        "waste",
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        "leachate",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Physical-chemical and PFAS data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527827/Physical-chemical%20and%20PFAS%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-10",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.138541"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset used in ORD-035008 - A Set of Six Gene Expression Biomarkers and Their Thresholds Identify Rat Liver Tumorigens in Short-Term Assays",
      "description": "The links provided include the DrugMatrix-Affymetrix study, the TG-GATES study, and the TempO-Seq S1500+ study. \n\nThis dataset is associated with the following publication:\nLewis, R., T. Hill III, and C. Corton. A set of six Gene expression biomarkers and their thresholds identify rat liver tumorigens in short-term assays.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 443: 152547, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1518526",
      "keyword": [
        "transcript profiling",
        "biomarker",
        "threshold"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57815",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57815",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "http://toxico.nibiohn.go.jp/english/",
          "accessURL": "http://toxico.nibiohn.go.jp/english/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE118956",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE118956",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-01-02",
      "references": [
        "https://doi.org/10.1016/j.tox.2020.152547"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Air Emissions from Fabric Coating",
      "description": "PTR and CIMS measurements of gas phase air emissions from fabric coating. \n\nThis dataset is associated with the following publication:\nWickersham, L., J. Mattila, J. Krug, S. Jackson, M. Wallace, E. Shields, H. Halliday, E. Li, H. Liberatore, S.(. Farrior, W. Preston, J. Ryan, C. Lee, and W. Linak. Characterization of PFAS Air Emissions from Simulated Thermal Fabric Application Processes.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  NA, (2023).",
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      ],
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      ],
      "identifier": "https://doi.org/10.23719/1527849",
      "keyword": [
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        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
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          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/README.txt",
          "mediaType": "text/plain",
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        },
        {
          "title": "Figure S6_PTR FTOH.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S5_PTRvCIMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/Figure%20S5_PTRvCIMS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S4_Water+Tergitol.xlsx",
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        {
          "title": "Figure S3_PTR FEP ramp.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/Figure%20S3_PTR%20FEP%20ramp.xlsx",
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          "title": "Figure 6_CIMS+PTR FEP ramp.xlsx",
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          "title": "Figure 5_CIMS FTOH ramp.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/Figure%205_CIMS%20FTOH%20ramp.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4_Temp Ramp data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/Figure%204_Temp%20Ramp%20data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Figure 3_CIMS FTOH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527849/Figure%203_CIMS%20FTOH.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 2_Water+Tergitol+FTOH.xlsx",
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      "references": [
        "https://doi.org/10.1080/10962247.2023.2192009"
      ],
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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    },
    {
      "title": "Stressor-Response: Weighted Averaging",
      "description": "The data consists of paired observations of relative abundances of benthic macroinvertebrates along with concurrent measurements of water chemistry variables and physical habitat variables. \n\nThis dataset is associated with the following publication:\nGriffith, M. Development of national stressor-specific genus sensitivity values.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 895: 165121, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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        "020:000"
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      "keyword": [
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        "stressor-response relationships",
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      ],
      "contactPoint": {
        "fn": "Michael Griffith",
        "hasEmail": "mailto:griffith.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "FinalCombined.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528605/FinalCombined.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-13",
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        "https://doi.org/10.1016/j.scitotenv.2023.165121"
      ],
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            "name": "U.S. Environmental Protection Agency",
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                "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "MS Datasets and Analyses for Shenandoah River FHM Metabolomics  ",
      "description": "MS Datasets and Analyses for Shenandoah River FHM Metabolomics",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "identifier": "https://doi.org/10.23719/1529242",
      "keyword": [
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        "Water monitoring",
        "chemical mixtures",
        "ecological risk",
        "Adverse Outcome Pathways (AOPs)",
        "bioactivity"
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      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "META analysis - PLS Regression.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529242/META%20analysis%20-%20PLS%20Regression.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "M_F FHM Integrated Int Metab.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529242/M_F%20FHM%20Integrated%20Int%20Metab.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dataset for Impacted Pathways-D21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529242/Dataset%20for%20Impacted%20Pathways-D21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MS Annotated Metabs_M_F d21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529242/MS%20Annotated%20Metabs_M_F%20d21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-06-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Destruction Profiles for the Mechanochemical Destruction of PFAS in AFFF and AFFF Contaminated Soil",
      "description": "This dataset gives time dependent concentrations of PFAS measured during the mechanochemical treatment of AFFF in sand and soil contaminated with AFFF. The data is also presented in two figures. \n\nThis dataset is associated with the following publication:\nGobindlal, K., E. Shields, A. Whitehill, C. Weber, and J. Sperry. Mechanochemical Destruction of Per- and Polyfluoroalkyl Substances in Aqueous Film-Forming Foams and Contaminated Soil.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  NA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528602",
      "keyword": [
        "PFAS",
        "mechanochemical destruction",
        "AFFF",
        "soil remediation"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "MechanochemicalDestructionAFFF_Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528602/MechanochemicalDestructionAFFF_Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-24",
      "references": [
        "https://doi.org/10.1039/d3va00099k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS data in combination with results data ",
      "description": "Source data from the National Aquatic Resource Survey's National Rivers and Streams Assessment containing benthic macroinvertebrate and fish taxa data and environmental predictor variables for stream sites.  Results data contains estimated of taxa richness for invertebrates and fish for both ecoregions and hydrologic units. \n\nThis dataset is associated with the following publication:\nHughes, R.M., A. Herlihy, R. Comeleo, D. Peck, R. Mitchell, and S. Paulsen. Patterns in and predictors of stream and river macroinvertebrate genera and fish species richness across the conterminous USA.   Knowledge and Management of Aquatic Ecosystems. EDP Sciences, LES ULIS,  FRANCE, 424: 2023014, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528298",
      "keyword": [
        "residual richness",
        "regional richness",
        "environmental predictors",
        "biodiversity"
      ],
      "contactPoint": {
        "fn": "David Peck",
        "hasEmail": "mailto:peck.david@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "alphabeta_hucboth.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528298/alphabeta_hucboth.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "alphabeta_ecoboth.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528298/alphabeta_ecoboth.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_document_for_results_data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528298/Metadata_document_for_results_data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-07",
      "references": [
        "https://doi.org/10.1051/kmae/2023014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Lakes Physical Habitat Data",
      "description": "National Lakes Assessment physical habitat data - 2007 and 2012 data. Portions of this dataset are inaccessible because: Authors have this data from the state of Maine. They can be accessed through the following means: Jeremy Deeds. Format: Secondary data for paper. \n\nThis dataset is associated with the following publication:\nDeeds, J., A. Amirbahman, K. Hugger, P. Kaufmann, L. Matthews, K. Merrell, and S. Norton. Assessment Indices of Littoral Habitat Condition for Lakes in Maine and New England, United States.   LAKE AND RESERVOIR MANAGEMENT. Taylor & Francis Group, London,  UK, 39(2): 141-155, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529346",
      "keyword": [
        "physical habitat",
        "littoral habitat assessments",
        "National Lake Assessment",
        "shoreline development",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Philip Kaufmann",
        "hasEmail": "mailto:kaufmann.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-21",
      "references": [
        "https://doi.org/10.1080/10402381.2023.2207490"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Nitrate Diffusion in Hydrogels (University of Arkansas)",
      "description": "Time series concentration data for nitrate in diffusion cell compartments. This dataset is not publicly accessible because: Data were not generated by EPA. The data are managed by University of Arkansas. It can be accessed through the following means: Data can be accessed by contacting the corresponding author of the manuscript, Julian L. Fairey, University of Arkansas, 4190 BELL, Fayetteville, AR 72701, USA, Email: julianf@uark.edu, Phone: +1 479 575 4023. Format: N/A. \n\nThis dataset is associated with the following publication:\nHodges, S., D. Wahman, L. Haupert, H. Pham, M. Bozarth, M. Howland, and J. Fairey. Non-Steady State Fickian Diffusion Model Decreases Uncertainty in Gel Layer Diffusion Coefficients for Diffusive Gradients in Thin-Films Passive Samplers.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57: 9793-9801, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528591",
      "keyword": [
        "drinking water",
        "diffusion",
        "Passive Sampling",
        "Hydrogels"
      ],
      "contactPoint": {
        "fn": "Levi Haupert",
        "hasEmail": "mailto:haupert.levi@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-21",
      "references": [
        "https://doi.org/10.1021/acs.est.3c01861",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset to support LEAF screening and scenario assessment for peer reviewed publications. ",
      "description": "The datasets provide LEAF data and calculations for predicting environmental release of inorganic constituents of potential concern (COPCs) through leaching to groundwater and surface water bodies.  Differences in environmental parameters such as pH and liquid solid ratio are included to help understand changes in the mobility of COPCs based on the environmental management conditions over time that will affect environmental release. \n\nThis dataset is associated with the following publications:\nGarrabrants, A., D. Kosson, K. Brown, D. Fagnant, G. Helms, and S. Thorneloe. Demonstration of the Use of Test Results from the Leaching Environmental Assessment Framework (LEAF) to Develop Screening-Level Leaching Assessments.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 121: 226-236, (2021).\nGarrabrants, A., D. Kosson, K. Brown, D. Fagnant, G. Helms, and S. Thorneloe. Methodology for Scenario-Based  Assessments and Demonstration of Treatment Effectiveness using the Leaching Environmental Assessment Framework (LEAF).   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 406: 124635, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519201",
      "keyword": [
        "Leaching",
        "inorganics",
        "metals",
        "waterborne pollutants",
        "beneficial use",
        "treatment effectiveness"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "LEAF-Thorneloe-A-zw4h- 20200814.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519201/LEAF-Thorneloe-A-zw4h-%2020200814.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-23",
      "references": [
        "https://doi.org/10.1016/j.wasman.2020.12.016",
        "https://doi.org/10.1016/j.jhazmat.2020.124635",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468778",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568485"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments",
      "description": "Dataset for Nyffeler et al., 'Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments', Toxicology & Applied Pharmacology, Vol 468, 116513, June 1, 2023, DOI https://doi.org/10.1016/j.taap.2023.116513. \n\nThis dataset is associated with the following publication:\nNyffeler, J., C. Willis, F. Harris, M. Foster, B. Chambers, M. Culbreth, R. Brockway, S. Davidson-Fritz, D. Dawson, I. Shah, K. Paul-Friedman, D. Chang, L. Everett, J. Wambaugh, G. Patlewicz, and J. Harrill. Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 468: 116513, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529360",
      "keyword": [
        "high-throughput phenotypic profiling",
        "cell painting",
        "concentration-response",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.21183481.v1",
          "accessURL": "https://doi.org/10.23645/epacomptox.21183481.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "U2OS_ToxCast Supplementary v14_for revision_clean.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529360/U2OS_ToxCast%20Supplementary%20v14_for%20revision_clean.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-31",
      "references": [
        "https://doi.org/10.1016/j.taap.2023.116513"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MagnusonMatthew_A-4xh9_dataset_20210126.xlsx",
      "description": "Data corresponding to graphs in paper. \n\nThis dataset is associated with the following publication:\nXing, Y., A. Burdsall, A. Owens, M. Magnuson, and W. Harper. The effect of mixing and free-floating carrier media on bioaerosol release from wastewater: a multiscale investigation with Bacillus globigii.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, (7): 1240-1249, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520758",
      "keyword": [
        "Bacillus globigii",
        "carrier media",
        "waste water",
        "bioaerosol",
        "Aerosol"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MagnusonMatthew_A-4xh9_dataset_20210126.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520758/MagnusonMatthew_A-4xh9_dataset_20210126.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-05",
      "references": [
        "https://doi.org/10.1039/d1ew00151e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Publicly Reported State Municipal Solid Waste Data Version 1",
      "description": "This dataset is a collection of publicly reported municipal solid waste (MSW) data in the United States retrieved via a web search as part of an analysis of waste estimation methods. The dataset covers MSW generation, recycling, and disposal, with a high degree a variability in data availability based on differences in state reporting practices. The target data for the data is 2018. \n\nThis dataset is associated with the following publication:\nVines, V., M. Pasquali, S. Ganguli, and D.E. Meyer. Understanding the trade-offs of national municipal solid waste estimation methods for circular economy policy.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 412: 137349, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527730",
      "keyword": [
        "Material Flow Analysis",
        "Municipal Solid Waste",
        "Regional Data Reporting"
      ],
      "contactPoint": {
        "fn": "David Meyer",
        "hasEmail": "mailto:meyer.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Compiled State Public Waste Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527730/Compiled%20State%20Public%20Waste%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-12",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2023.137349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub_PPEcompileddata.xlsx",
      "description": "Dataset for PPE Cleaning/Disinfection Coupon Study Journal Article. \n\nThis dataset is associated with the following publication:\nArcher, J., A. Mikelonis, B. Wyrzykowska, E. Morris, J. Sawyer, T. Chamberlain, A. Abdel-Hady, M. Monge, and A. Touati. Evaluation of Disinfection Methods for Personal Protective Equipment (PPE) Items for Reuse During a Pandemic.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(7): e0287664, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526469",
      "keyword": [
        "homeland security",
        "disinfection",
        "virus",
        "PPE",
        "Pandemic"
      ],
      "contactPoint": {
        "fn": "John Archer",
        "hasEmail": "mailto:archer.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_PPEcompileddata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526469/SciHub_PPEcompileddata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-25",
      "references": [
        "https://doi.org/10.1371/journal.pone.0287664",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374148"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system -- Full Dataset",
      "description": "Data for manuscript titled, \"Impacts of climate change on estuarine hydrodynamics and implications for hypoxia within a shallow subtropical system\". The data is organized by figure. \n\nAbstract: Vertical density stratification often plays an important role in the formation and expansion of coastal hypoxic zones through its effect on near-bed circulation. However, the impact of future climate change on estuarine circulation and hypoxia is widely unknown. Here, we developed and calibrated a three-dimensional hydrodynamic model for Pensacola Bay, a shallow subtropical estuary in the northeastern Gulf of Mexico. Hindcast simulations for 2013 – 2017 were applied to examine changes in salinity, temperature, and density distribution under future climate scenarios, including increased radiative forcing (IR), temperature (T), freshwater discharge (D), sea-level (SLR), and wind (W). Simulations showed that the impacts of climate change on modeled state variables varied over time with external forcing conditions. The model demonstrated the potential for sea-level rise (+0.48 m) and increased freshwater discharge (110%) to episodically increase vertical density gradients in the Bay. However, increased wind forcing (150%) destabilized vertical gradients, reducing the spatial extent and duration of strong stratification. For example, from March – June 2014 total area, wherein the bottom to surface density difference (Δσt) exceeded16 kg m-3, decreased by 33% (8.5 km^2) for the climate change (T+D+SLR+W) model. Wavelet coherence analysis revealed that the greatest differences in temperature and salinity between Base and T+D+SLR+W models occurred at hourly to daily timescales and primarily impacted the bottom layer. Results from this study suggest decreased density stratification and bottom temperature due to enhanced wind mixing and saltwater intrusion may mitigate future expansion of summertime hypoxia due to climate change. \n\nThis dataset is associated with the following publication:\nDuvall, M., B. Jarvis, and Y. Wan. Impacts of climate change on estuarine stratification and implications for hypoxia within a shallow subtropical system.   Estuarine Coastal and Shelf Science. Elsevier Science Ltd, New York, NY, USA, 279: 14, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524280",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "climate change",
        "surface water",
        "Hypoxia",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Melissa Duvall",
        "hasEmail": "mailto:duvall.melissa@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524280/Figure_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524280/DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-19",
      "references": [
        "https://doi.org/10.1016/j.ecss.2022.108146"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Concentrations in Leachate samples",
      "description": "The file contains raw data measurement conducted by EPA's contractor.  The data have the names of the samples and the concentration of 26 PFAS compounds that were analyzed. \n\nThis dataset is associated with the following publication:\nChen, Y., H. Zhang, Y. Liu, J. Bowden, T. Tolaymat, T. Townsend, and H. Solo-Gabriele. Concentrations of perfluoroalkyl and polyfluoroalkyl substances before and after full-scale landfill leachate treatment.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 153: 110-120, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524664",
      "keyword": [
        "PFAS",
        "Leachate Treatment",
        "landfills",
        "Municipal Solid Waste"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Leachate Treatment PFAS_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524664/Leachate%20Treatment%20PFAS_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-01",
      "references": [
        "https://doi.org/10.1016/j.wasman.2022.08.024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pensacola Bay Benthic Indices and Monitoring Dataset",
      "description": "Benthic macrofauna community data, measured water quality parameters, and benthic index calculations from Pensacola Bay, 2016-2017. \n\nThis dataset is associated with the following publication:\nPaul, J., J. Nestlerode, and B. Jarvis. Evaluating the effectiveness of M-AMBI with other biotic indexes in a temperate estuary.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 193: 10, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527866",
      "keyword": [
        "habitat quality",
        "Hypoxia",
        "macrofauna",
        "sediment",
        "Nitrogen and Co-pollutants",
        "benthic",
        "benthic condition",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Janet Nestlerode",
        "hasEmail": "mailto:nestlerode.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "Pensacola Bugs Master with Index Calculations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527866/Pensacola%20Bugs%20Master%20with%20Index%20Calculations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pensacola Bay Benthic Indices and Env Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527866/Pensacola%20Bay%20Benthic%20Indices%20and%20Env%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PBbugs_Community Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527866/PBbugs_Community%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-15",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2023.115194"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microelectrode evaluation of in situ oxidant reactivity and pH variability at new ductile iron and copper coupon surfaces data set",
      "description": "Data shown in the figures presented in the manuscript. \n\nThis dataset is associated with the following publication:\nLee, W.H., D. Wahman, D. Lytle, J. Pressman, and J. Chung. Microelectrode evaluation of in situ oxidant reactivity and pH variability at new ductile iron and copper coupon surfaces.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 243: 120352, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528468",
      "keyword": [
        "microelectrode",
        "Copper",
        "Ductile Iron",
        "corrosion"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_V1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528468/Data_V1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-26",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.120352"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary data Energy efficient vortex-enhanced water evaporation technology for concentrated brine management: Theory and process simulation evaluation",
      "description": "Data simulation for Desalination drinking water systems and industrial processes generating high salinity streams require practical brine management options for disposal and/or treatment.  Treatment most often involves large capacity brine concentrating processes, on the order of 2000 m3/day, that rely on water evaporation, vapor compression, and condensation.  Tornadic One-Pass™ (TOP™) technology adds an aerosol-generating “Pod” device to the evaporation step with the goal of energy efficient operation even at smaller scales.  The principles behind the tornadic flowfield that breaks up and aerosolizes water injected into the Pod are introduced.  Design of a 6.8 m3/day TOP™ demonstration system producing a NaCl slurry (55 wt% solids) from a 22 wt% NaCl influent is described.  Simulations of the system with three influent brine concentrations and three forms of final NaCl concentrate are presented and predicted energy usage is compared to estimates for conventional systems.  By varying simulation process parameters, the heat transfer performance of the evaporator/condenser is identified as having a large impact on overall efficiency.  TOP™The TOP™ system is anticipated to be most competitive, on an energy usage basis, with conventional concentrator/crystallizer systems when processing higher salinity brines and producing final concentrates containing precipitated NaCl. \n\nThis dataset is associated with the following publication:\nVane, L., K. Rock, and D. Jordan. Energy efficient vortex-enhanced water evaporation technology for concentrated brine management: Theory and process simulation evaluation.   DESALINATION. Elsevier Science Ltd, New York, NY, USA, 522: 115427, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529410",
      "keyword": [
        "Concentrate Management",
        "desalination",
        "brine",
        "zero liquid discharge"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary data for Energy efficient vortex enhanced water evaporation technology for concentrated brine management Theory and process simulation evaluation .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529410/Supplementary%20data%20for%20Energy%20efficient%20vortex%20enhanced%20water%20evaporation%20technology%20for%20concentrated%20brine%20management%20Theory%20and%20process%20simulation%20evaluation%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-10",
      "references": [
        "https://doi.org/10.1016/j.desal.2021.115427"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "gas condensate and aqueous liquids data",
      "description": "This is the PFAS concentrations in the various samples analyzed.  These concentrations were used to creat the various graphs and tables in the associated manuscript. \n\nThis dataset is associated with the following publication:\nChen, Y., H. Zhang, Y. Liu, J. Bowden, T. Tolaymat, T. Townsend, and H. Solo-Gabriele. Evaluation of Per- and Polyfluoroalkyl Substances (PFAS) in Leachate, Gas Condensate, Stormwater and Groundwater at Landfills.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 318: 137903, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527904",
      "keyword": [
        "landfills",
        "leachate",
        "PFAS",
        "waste"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Landfill Liquid PFAS_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527904/Landfill%20Liquid%20PFAS_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-30",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.137903"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using the Daphnia magna Transcriptome to Distinguish Water Source: Wetland and Stormwater Case Studies",
      "description": "A major challenge in ecotoxicology is accurately and sufficiently measuring chemical exposures and biological effects given the presence of complex and dynamic contaminant mixtures in surface waters. It is impractical to quantify all chemicals in such matrices over space and time, and even if it were practical, concomitant biological effects would not be elucidated. Our study examined the performance of the Daphnia magna transcriptome to detect distinct responses across three water sources in Minnesota: laboratory (well) waters, wetland waters, and storm waters. Pyriproxyfen was included as a gene expression and male neonate production positive control to examine whether gene expression resulting from exposure to this well-studied juvenoid hormone analog can be detected in complex matrices. Laboratory-reared (<24 h) D. magna were exposed to a water source and/or pyriproxyfen for 16 days to monitor phenotypic changes or 96 h to examine gene expression responses using Illumina HiSeq 2500 (10 million reads per library, 50-bp paired end [2 × 50]). The results indicated that a unique gene expression profile was produced for each water source. At 119 ng/L pyriproxyfen (~25% effect concentration) for male neonate production, as expected, the Doublesex1 gene was up-regulated. In descending order, gene expression patterns were most discernable with respect to pyriproxyfen exposure status, season of stormwater sample collection, and wetland quality, as indicated by the index of biological integrity. However, the biological implications of the affected genes were not broadly clear given limited genome resources for invertebrates. Our study provides support for the utility of short-term whole-organism transcriptomic testing in D. magna to discern sample type, but highlights the need for further work on invertebrate genomics. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529423",
      "keyword": [
        "biomonitoring",
        "ecotoxicogenomics",
        "effects-based monitoring",
        "Invertebrate toxicology",
        "Transcriptomics."
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.13020/4hq3-v890",
          "accessURL": "https://doi.org/10.13020/4hq3-v890",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-07-18",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sorption modeling data for benzene in polyethylene pipe",
      "description": "Benzene concentration time series data during uptake and release from polyethylene drinking water pipes. \n\nThis dataset is associated with the following publication:\nHaupert, L., L. Garcia-Bakarich, N. Sojda, D. Schupp, and M. Magnuson. Benzene Diffusion and Partitioning in Contaminated Drinking Water Pipes under Stagnant Conditions.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 3(8): 2247-2254, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528322",
      "keyword": [
        "Premise Plumbing",
        "drinking water",
        "water infrastructure",
        "Decontamination",
        "benzene"
      ],
      "contactPoint": {
        "fn": "Levi Haupert",
        "hasEmail": "mailto:haupert.levi@epa.gov"
      },
      "distribution": [
        {
          "title": "bz_pipe_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528322/bz_pipe_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-06",
      "references": [
        "https://doi.org/10.1021/acsestwater.3c00040"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differential gene expression reveals host factors for viral shedding variation in mallards (Anas platyrhynchos) infected with low-pathogenic avian influenza virus",
      "description": "Intraspecific variation in pathogen shedding impacts disease transmission dynamics; therefore, understanding the host factors associated with individual variation in pathogen shedding is key to controlling and preventing outbreaks. In this study, ileum and bursa of Fabricius tissues of wild-bred mallards (Anas platyrhynchos) infected with low-pathogenic avian influenza (LPAIV) were evaluated at various post-infection time points to determine genetic host factors associated with intraspecific variation in viral shedding. By analysing transcriptome sequencing data (RNA-seq), we found that LPAIV-infected wild-bred mallards do not exhibit differential gene expression compared to uninfected birds, but that gene expression was associated with cloacal viral shedding quantity early in the infection. In both tissues, immune gene expression was higher in high/moderate shedding birds compared to low shedding birds, and significant positive relationships with viral shedding were observed. In the ileum, expression for host genes involved in viral cell entry was lower in low shedders compared to moderate shedders at 1 day post-infection (DPI), and expression for host genes promoting viral replication was higher in high shedders compared to low shedders at 2 DPI. Our findings indicate that viral shedding is a key factor for gene expression differences in LPAIV-infected wild-bred mallards, and the genes identified in this study could be important for understanding the molecular mechanisms driving intraspecific variation in pathogen shedding. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529426",
      "keyword": [
        "Influenza",
        "shedding",
        "transcriptomics",
        "virus"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/8252440",
          "accessURL": "https://zenodo.org/record/8252440",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-30",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Host gene expression is associated with viral shedding magnitude in blue-winged teals (Spatula discors) infected with low-path avian influenza virus",
      "description": "Intraspecific variation in host infectiousness affects disease transmission dynamics in human, domestic animal, and many wildlife host-pathogen systems including avian influenza virus (AIV); therefore, identifying host factors related to host infectiousness is important for understanding, controlling, and preventing future outbreaks. Toward this goal, we used RNA-seq data collected from low pathogenicity avian influenza virus (LPAIV)-infected blue-winged teal (Spatula discors) to determine the association between host gene expression and intraspecific variation in cloacal viral shedding magnitude, the transmissible fraction of virus. We found that host genes were differentially expressed between LPAIV-infected and uninfected birds early in the infection, host genes were differentially expressed between shed level groups at one-, three-, and five-days post-infection, host gene expression was associated with LPAIV infection patterns over time, and genes of the innate immune system had a positive linear relationship with cloacal viral shedding. This study provides important insights into host gene expression patterns associated with intraspecific LPAIV shedding variation and can serve as a foundation for future studies focused on the identification of host factors that drive or permit the emergence of high viral shedding individuals. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529427",
      "keyword": [
        "Avian Influenza",
        "Blue-winged teal",
        "gene expression",
        "RNA-Seq",
        "Supershedders",
        "viral shedding"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/8252576",
          "accessURL": "https://zenodo.org/record/8252576",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-07",
      "references": [
        "https://zenodo.org/record/8252600"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Commercial Equipment Manuscript Dataset 2022",
      "description": "Dataset of subject matter expert input and response to questions regarding commercial and municipal equipment survey and evaluation for use in large-scale biological incident response operations. \n\nThis dataset is associated with the following publication:\nHayes, C., M. Calfee, and T. Boe. Demonstration and Evaluation of Commercial and Municipal Equipment for Urban Biological Decontamination.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 33(3): 249-261, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528091",
      "keyword": [
        "Decontamination",
        "remediation",
        "Bacillus anthracis",
        "biological incident"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Commercial Equipment Dataset 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528091/Commercial%20Equipment%20Dataset%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-11",
      "references": [
        "https://doi.org/10.1002/rem.21751"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bench-scale testing of zeolite membranes for ethanol dehydration",
      "description": "This Excel file contains the bench-scale testing conditions, fluxes, and calculated performance parameters for NaA, Chabazite, and T-type zeolite membranes in the removal of water from ethanol by pervaporation and vapor permeation. \n\nThis dataset is associated with the following publication:\nVane, L., F. Alvarez, V. Namboodiri, and M. Abar. Ethanol dehydration performance of three types of commercial-grade zeolite permselective membranes.   Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD,   UK, 97(8): 1966-1977, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524773",
      "keyword": [
        "Membrane Technology",
        "solvent reclamation",
        "materials management",
        "solvent dehydration"
      ],
      "contactPoint": {
        "fn": "Leland Vane",
        "hasEmail": "mailto:vane.leland@epa.gov"
      },
      "distribution": [
        {
          "title": "Zeolite Membrane Results-Values for Graphs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524773/Zeolite%20Membrane%20Results-Values%20for%20Graphs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-17",
      "references": [
        "https://doi.org/10.1002/jctb.7141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Speciation of inorganic arsenic with LC-EIS-MS",
      "description": "This is the manuscript and supplementary material for \"Speciation of Inorganic Arsenic with Mixed-Mode HPLC- Electrospray Ionization-Mass Spectrometry and Arsenite Oxidation\". \n\nThis dataset is associated with the following publication:\nLi, T. Speciation of inorganic arsenic with mixed mode HPLC-ESI-MS and Arsenite Oxidation.   TALANTA. Elsevier Science Ltd, New York, NY, USA, 259: 124487, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529430",
      "keyword": [
        "Drinking water (Groundwater)",
        "Community Water System",
        "Speciation",
        "Environmental Justice",
        "climate change",
        "groundwater",
        "arsenic"
      ],
      "contactPoint": {
        "fn": "Tao Li",
        "hasEmail": "mailto:li.tao@epa.gov"
      },
      "distribution": [
        {
          "title": "Speciation of iAs 22Mar23 clean copy.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529430/Speciation%20of%20iAs%2022Mar23%20clean%20copy.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-21",
      "references": [
        "https://doi.org/10.1016/j.talanta.2023.124487",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152742",
        "https://pasteur.epa.gov/uploads/10.23719/1529430/documents/Supplementary%20material%20for%20iAs%2022Mar23.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529430/documents/Data%20dictionary%20for%20iAs%20specition%2021Aug2023.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Method Development for Thermal Desorption-Gas Chromatography-Tandem Mass Spectrometry (TD-GC-MS/MS) Analysis of Trace Level Fluorotelomer Alcohols Emitted from Consumer Products",
      "description": "The data presented in this data file is a product of a journal publication. The dataset contains FTOH concentrations detected in standards and consumer products and their emissions concentrations from consumer products. \n\nThis dataset is associated with the following publication:\nRobbins, Z., X. Liu, B. Schumacher, M. Smeltz, and H. Liberatore. Method Development for Thermal Desorption-Gas Chromatography-Tandem Mass Spectrometry (TD-GC-MS/MS) Analysis of Trace Level Fluorotelomer Alcohols Emitted from Consumer Products.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1705: NA, (2923).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528682",
      "keyword": [
        "consumer products",
        "fluorotelomer alcohol",
        "PFAS",
        "Gas chromatography-mass spectrometry",
        "thermal desorption",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_PFAS Analytical Paper_Data Tables&Dictionary-03172023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528682/XiaoyuLiu_PFAS%20Analytical%20Paper_Data%20Tables%26Dictionary-03172023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-17",
      "references": [
        "https://doi.org/10.1016/j.chroma.2023.464204"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combined NRSA benthic macroinvertebrate indices and landscape data for Random Forest Analysis.",
      "description": "Combined benthic macroinvertebrate indices and landscape data used in random forest analysis. Data is from the 2008/2009 National Rivers and Streams Assessment. All data and meta data are also available on the US EPA NARS website. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529412",
      "keyword": [
        "Benthic Macroinvertebrate Index",
        "Landscape data",
        "Random Forest Analysis"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "CombinedNRSA0809.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529412/CombinedNRSA0809.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-08",
      "references": [
        "https://dx.doi.org/10.1007/s13253-021-00479-7",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442734"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Six-Year Review 3 Compliance Monitoring Data (2006-2011)",
      "description": "In December 2016, EPA announced the review results for the Agency’s third Six-Year Review (called Six-Year Review 3). EPA analyzed compliance monitoring data for the Six-Year Review 3 using data provided by states/primacy agencies through the Information Collection Request (ICR) for Six-Year Review 3 covering January 2006 through December 2011.\n\nEach zip file contains data for multiple contaminants and related information that can be unzipped into tab delimited text files. The number of records and associated systems in the data files and the size of the files range considerably from contaminant to contaminant, which may be attributed to many factors such as the applicability of monitoring requirements, the required sampling frequency and results from quality assurance/quality control (QA/QC) measures. \n \nA detailed description of the data fields and their definitions, notes about the data, and instructions for downloading and importing datasets into software applications such as Excel can be found in the User Guide. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529436",
      "keyword": [
        "water",
        "National Primary Drinking Water Regulation",
        "drinking water",
        "drinking water quality"
      ],
      "contactPoint": {
        "fn": "Richard Weisman",
        "hasEmail": "mailto:weisman.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/dwsixyearreview/six-year-review-3-compliance-monitoring-data-2006-2011",
          "accessURL": "https://www.epa.gov/dwsixyearreview/six-year-review-3-compliance-monitoring-data-2006-2011",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-09",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Criteria and Hazardous Air Pollutant Totals By Industry 2017 v2.0",
      "description": "This is an update of v1.1 of this dataset (https://doi.org/10.1038/s41597-022-01293-7). This dataset distinguishes air emissions with more context information (e.g. urban vs. rural; release height categories) using secondary context descriptions from the Federal LCA Commons Elementary Flow List, and building of a new point-source release dataset from StEWI (https://github.com/USEPA/standardizedinventories).  This dataset was generated with FLOWSA v2.0.0. using the flow-by-sector attribution model CAP_HAP_national_2017_m2. The link for that model specification file and more metadata can be found in the associated metadata.json file. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529153",
      "keyword": [
        "criteria air pollutant emissions",
        "hazardous air pollutant emissions",
        "FLOWSA"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CAP_HAP_national_2017_m2_v2.0.0_a52db57.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CAP_HAP_national_2017_m2_v2.0.0_a52db57.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-22",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CAP_HAP_national_2017_m2_v2.0.0_a52db57_metadata.json",
        "https://github.com/USEPA/flowsa/blob/a52db57a4f69feb1e4b7aa336a86a81eeae63c04/flowsa/methods/flowbysectormethods/CAP_HAP_national_2017_m2.yaml"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/f7fabfbf2cef3920780920d147ffbb089fbce9eb/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "DIO v2.0",
      "description": "DIO is the Defense Input-Output Model, v2.0.  It was built using useeior v1.2.1. This is an export of that model in Excel format.  The source code can be found in https://github.com/USEPA/DIO. All tabs correspond to the useeior Model format.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529152",
      "keyword": [
        "USEEIO",
        "input-output"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "DIOv2.0_w_metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529152/DIOv2.0_w_metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/blob/v1.2.1/format_specs/Model.md#model"
      },
      "accessRights": "public"
    },
    {
      "title": "Roll Hill SciHUB 1-30-23",
      "description": "“Honest Broker” accessed the Medicaid data for the Villages at Roll Hill at zip code 45225. A complete Ohio Medicaid data set was only available for the years 2013 through 2021. “Honest Broker” determined the diagnosis of asthma for 7-year-olds based on the International Classification of Diseases. Member cohort eligibility was based on continuous residence at zip code 45225 for 24 months, i.e., the cohort year and the previous year. \n\nThis dataset is associated with the following publication:\nBeck, A.F., L. Wymer, E. Pinzer, W. Friedman, P. Ashley, and S. Vesper. Reduced prevalence of childhood asthma after housing renovations in an under-resourced community.   Journal of Allergy and Clinical Immunology: Global. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(4): 100143, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528526",
      "keyword": [
        "black",
        "asthma",
        "infants",
        "green-building",
        "African American"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Roll Hill SciHUB 6-30-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528526/Roll%20Hill%20SciHUB%206-30-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-30",
      "references": [
        "https://doi.org/10.1016/j.jacig.2023.100143"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human alterations of the global floodplains 1965-2019",
      "description": "We developed the first publicly available spatially explicit estimates of the human alterations along the global floodplains during the recent 27 years (1992-2019) at 250-m resolution. To maximize the reuse of our datasets and advance the open science of human floodplain alteration, we developed three web-based programming tools: (1) Floodplain Mapping Tool, (2) Land Use Change Tool, and (3) Human Alteration Tool supported with tutorials and step-by-step audiovisual instructions. Our data reveal a significant loss of natural floodplains worldwide with 460,000 km2 of new agricultural and 140,000 km2 of new developed areas between 1992 and 2019. This dataset offers critical new insights into how floodplains are being destroyed, which will help decision-makers to reinforce strategies to conserve and restore floodplain functions and habitat. This dataset is not publicly accessible because: EPA scientists provided context and commentary but did not do any of the analyses or handle any of the data. It can be accessed through the following means: The entire data record can be downloaded as a single zip file from this web link: http://www.hydroshare.org/resource/cdb5fd97e0644a14b22e58d05299f69b.\r\n\r\nThe global floodplain alteration dataset is derived entirely through ArcGIS 10.5 and ENVI 5.1 geospatial analysis platforms. To assist in reuse and application of the dataset, we developed additional Python codes aggregated as three web-based tools:  \r\n\r\nFloodplain Mapping Tool: https://colab.research.google.com/drive/1xQlARZXKPexmDInYV-EMoJ-HZxmFL-eW?usp=sharing. \r\nLand Use Change Tool: https://colab.research.google.com/drive/1vmIaUCkL66CoTv4rNRIWpJXYXp4TlAKd?usp=sharing. \r\nHuman Alteration Tool: https://colab.research.google.com/drive/1r2zNJNpd3aWSuDV2Kc792qSEjvDbFtBy?usp=share_link   \r\n\r\nSee Usage Notes section in the journal article for details. Format: The global floodplain alteration dataset is available through the HydroShare open geospatial data platform. Our data record also includes all corresponding input data, intermediate calculations, and supporting information. \n\nThis dataset is associated with the following publication:\nRajib, A., Q. Zheng, C. Lane, H. Golden, J. Christensen, I. Isibor, and K. Johnson. Human alterations of the global floodplains 1992–2019.   Scientific Data. Springer Nature, New York, NY, USA, 10: 499, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528437",
      "keyword": [
        "ecosystem services",
        "Human Alteration Tool",
        "flooding",
        "floodplains",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-14",
      "references": [
        "https://doi.org/10.1038/s41597-023-02382-x",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382548"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sptotal R package data",
      "description": "The data are just illustrative tools to help users understand how the sptotal R package works. As a result, those interested in sptotal, which may include EPA and the general public, may be interested in the data. \n\nThis dataset is associated with the following publication:\nHigham, M., J. Ver Hoef, B. Frank, and M. Dumelle. sptotal: an R package for predicting totals and weighted sums from spatial data.   Journal of Open Source Software. Journal of Open Source Software,    8(85): 05363, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529130",
      "keyword": [
        "Statistics",
        "Spatial Model",
        "Finite Population Block Kriging",
        "prediction",
        "Correlation"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://CRAN.R-project.org/package=sptotal",
          "accessURL": "https://CRAN.R-project.org/package=sptotal",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-12-11",
      "references": [
        "https://doi.org/10.21105/joss.05363"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cognitive tests conducted in male and females offspring that were exposed to Manganese and/or stress during the perinatal period",
      "description": "Cognitive tests included in this assessment.\nNovel object recognition (NOR) test data: habituation trial, training trial and test trial.\nMorris water maze (MWM): Acquisition, reference probe, and reversal challenge \nDifferential reinforcement of low rates (DRL): Autoshaping and efficiency data from DRL\nCued and uncued choice reaction time (CRT): Accuracy, Anticipatory responding, decision and movement time. \n\nThis dataset is associated with the following publication:\nOshiro, W., K. McDaniel, T. Beasley, G. Moser, and D. Herr. Impacts of a perinatal exposure to manganese coupled with maternal stress in rats: Learning, memory and attentional function in exposed offspring..   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 91(May-June 2022): 107077, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523129",
      "keyword": [
        "perinatal stress",
        "manganese",
        "cognitive functions",
        "neurodevelopmental neurotoxicity",
        "Rats",
        "Combined Effects"
      ],
      "contactPoint": {
        "fn": "Wendy Oshiro",
        "hasEmail": "mailto:oshiro.wendy@epa.gov"
      },
      "distribution": [
        {
          "title": "MWM_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523129/MWM_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UnCued CRT_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523129/UnCued%20CRT_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cued CRT_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523129/Cued%20CRT_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AS_DRL_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523129/AS_DRL_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NOR_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523129/NOR_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-17",
      "references": [
        "https://doi.org/10.1016/j.ntt.2022.107077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017",
      "description": "These are economic models in Make and Use formats with variations of one and two-region versions where the one region is just a U.S. state of interest (SoI) and the two-region version include both the SoI and Rest of the U.S. (RoUS). Inudstry and Commodity output vectors are also provided. Models are available representing annual totals for each year for each state from 2012 to 2017. Variations for \"Domestic\" forms of models are available. See the associated publication, also available without fees in PubMed, for details. These models were created with stateior v0.1.0 (https://github.com/USEPA/stateior/releases/tag/0.1.0). and can be used in that R software.  See https://github.com/USEPA/stateior/tree/0.1.0 for usage details. The provided data link reveals many R Data Format (.RDS) files that can be read into R, along with metadata files in JSON format that provide information on provenance of the data. File names corresponded with the definitions in the associated data dictionary (for two-region files) and the associated supporting link (for one-region files). Other files are precursors to the one and two-region models with data that are used in the model building process and can be read into R.   All model files corresponding to the associated publication have the the text \"0.1.0\" in the filename, for example \"Census_StateExport_2013_0.1.0.rds\". Each file contains all states for the year in the file name with a year is included. \n\nThis dataset is associated with the following publication:\nLi, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America.   International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529442",
      "keyword": [
        "state economic model",
        "input-output",
        "state GDP",
        "state industry output",
        "interstate trade",
        "regional science"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html?prefix=stateio/",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html?prefix=stateio/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-16",
      "references": [
        "https://doi.org/10.1177/01600176221145874",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324549",
        "https://github.com/USEPA/stateior/blob/0.1.0/format_specs/OneRegionData.md"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/stateior/blob/0.1.0/format_specs/TwoRegionData.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization",
      "description": "The initial analysis set was downloaded from https://www.waterqualitydata.us/ using queries described in the file load_water_data.py, hosted at https://github.com/USEPA/EcoSEEM-Consensus-Model-for-Chemicals-in-Surface-Water/tree/master/observation_data. The representative concentration ranges and bioactivity:exposure ratio results are available at the same GitHub repo in the file all_chem_res.csv. \n\nThis dataset is associated with the following publication:\nSayre, R., R. Setzer, M. Serre, and J. Wambaugh. Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 33: 610-619, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528953",
      "keyword": [
        "chemicals",
        "exposure",
        "environmental statistics",
        "water",
        "ExpoCast"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.waterqualitydata.us/",
          "accessURL": "https://www.waterqualitydata.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/USEPA/EcoSEEM-Consensus-Model-for-Chemicals-in-Surface-Water/tree/master/observation_data",
          "accessURL": "https://github.com/USEPA/EcoSEEM-Consensus-Model-for-Chemicals-in-Surface-Water/tree/master/observation_data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-08",
      "references": [
        "https://doi.org/10.1038/s41370-022-00501-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Science Hub for Stoner et al. 2021_V1",
      "description": "This dataset details the types of pollen collected by honey bees located on the grounds of two ornamental plant nurseries in Connecticut. \n\nThis dataset is associated with the following publication:\nStoner, K., A. Nurse, R. Richardson, R. Koethe, and D. Lehmann. Where Does Honey Bee (Apis mellifera L.) Pollen Come from? A Study of Pollen Collected from Colonies at Ornamental Plant Nurseries.   Insects. MDPI, Basel,  SWITZERLAND, 13(8): 744, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523381",
      "keyword": [
        "pollinator",
        "honey bee",
        "Apis"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub file 7-17-2023_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523381/Science%20Hub%20file%207-17-2023_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-10",
      "references": [
        "https://doi.org/10.3390/insects13080744",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409349"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A proposed approach to defining per- and polyfluoroalkyl substances (PFAS) based on molecular structure and formula",
      "description": "Dataset for \"Gaines LGT, Sinclair G, Williams AJ. A proposed approach to defining per- and polyfluoroalkyl substances (PFAS) based on molecular structure and formula. Integr Environ Assess Manag. 2023 Jan 11. doi: 10.1002/ieam.4735. Epub ahead of print. PMID: 36628931\". \n\nThis dataset is associated with the following publication:\nGaines, L., G. Sinclair, and A. Williams. A proposed approach to defining per- and polyfluoroalkyl substances (PFAS) based on molecular structure and formula.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(5): 1333-1347, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528954",
      "keyword": [
        "Environmental chemistry",
        "cheminformatics",
        "PFAS",
        "Per- and Polyfluoroalkyl"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "https://comptox.epa.gov/dashboard/",
          "accessURL": "https://comptox.epa.gov/dashboard/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ieam4735-sup-0001-dashboard_refinement_paper_si.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528954/ieam4735-sup-0001-dashboard_refinement_paper_si.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-02",
      "references": [
        "https://doi.org/10.1002/ieam.4735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ZIP Code-level data on daily temperature, Medicare cardiovascular hospitalizations, and urban heat island intensity, contiguous United States, 2000-2017 ",
      "description": "These datasets are associated with the manuscript \"Urban Heat Island Impacts on Heat-Related Cardiovascular Morbidity: A Time Series Analysis of Older Adults in US Metropolitan Areas.\" The datasets include (1) ZIP code-level daily average temperature for 2000-2017, (2) ZIP code-level daily counts of Medicare hospitalizations for cardiovascular disease for 2000-2017, and (3) ZIP code-level population-weighted urban heat island intensity (UHII). There are 9,917 ZIP codes included in the datasets, which are located in the urban cores of 120 metropolitan statistical areas across the contiguous United States.\n\n(1) The ZIP code-level daily temperature data is publicly available at: https://doi.org/10.15139/S3/ZL4UF9. A data dictionary is also available at this link. \n\n(2) The ZIP code-level daily counts of Medicare hospitalizations cannot be uploaded to ScienceHub because of privacy requirements in the data use agreement with Medicare.\n\n(3) The ZIP code-level UHII data is attached, along with a data dictionary describing the dataset. Portions of this dataset are inaccessible because: The ZIP code-level daily counts of Medicare cardiovascular disease hospitalizations cannot be uploaded to ScienceHub due to privacy requirements in data use agreements with Medicare. They can be accessed through the following means: The Medicare data can only be accessed internally at EPA with the correct permissions. Format: The Medicare data includes counts of the number of cardiovascular disease hospitalizations in each ZIP code on each day between 2000-2017. \n\nThis dataset is associated with the following publication:\nCleland, S., W. Steinhardt, L. Neas, J. West, and A. Rappold. Urban Heat Island Impacts on Heat-Related Cardiovascular Morbidity: A Time Series Analysis of Older Adults in US Metropolitan Areas.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 178(108005): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528343",
      "keyword": [
        "temperature",
        "Urban heat island",
        "urban heat island intensity",
        "Medicare",
        "Inpatient Hospitalization",
        "ZIP codes",
        "Metropolitan Statistical Area",
        "contiguous United States"
      ],
      "contactPoint": {
        "fn": "Stephanie Cleland",
        "hasEmail": "mailto:cleland.stephanie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.15139/S3/ZL4UF9",
          "accessURL": "https://doi.org/10.15139/S3/ZL4UF9",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "zip_UHII.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528343/zip_UHII.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-13",
      "references": [
        "https://doi.org/10.1016/j.envint.2023.108005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528343/documents/Data_Dictionary_zip_UHII.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Adaptations of HAEC to ISOPOOH - METADATA v1 112522",
      "description": "This metadata excel file contains the primary data collected for this project. Each sheet represents the data that corresponds to each individual figure and supplemental data set. \n\nThis dataset is associated with the following publication:\nPennington, E., S. Masood, S. Simmons, L. Dailey, P. Bromberg, R. Rice, A. Gold, Z. Zhang, W. Wu, Y. Yang, and J. Samet. Real-Time Redox Adaptations in Human Airway Epithelial Cells Exposed to Isoprene Hydroxy Hydroperoxide.   Redox Biology. Elsevier B.V., Amsterdam,  NETHERLANDS, 61(102646): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528301",
      "keyword": [
        "air pollution",
        "oxidative stress",
        "live cell imaging"
      ],
      "contactPoint": {
        "fn": "Edward Pennington",
        "hasEmail": "mailto:pennington.edward@epa.gov"
      },
      "distribution": [
        {
          "title": "Adaptations of HAEC to ISOPOOH - METADATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528301/Adaptations%20of%20HAEC%20to%20ISOPOOH%20-%20METADATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-25",
      "references": [
        "https://doi.org/10.1016/j.redox.2023.102646",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011437"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis",
      "description": "Dataset from Foster, M.J., et al., Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis, Computational Toxicology, Vol 24, No. 100245, Nov 2022, DOI https://doi.org/10.1016/j.comtox.2022.100245\n\nThe work described herein was conducted in R software (version 4.0.2) and is available at GitHub (https://github.com/USEPA/CompTox-HTH295R-SAR) and the US EPA Clowder repository as well as in Supplemental File 1 as an html file including code and resultant output. \n\nThis dataset is associated with the following publication:\nFoster, M., G. Patlewicz, I. Shah, D. Haggard, R. Judson, and K. Friedman. Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 24: 100245, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529362",
      "keyword": [
        "steroidogenesis",
        "chemotypes",
        "structure-activity relationships",
        "Read-across",
        "in silico screening"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/62680e42e4b0e232136663ff",
          "accessURL": "https://clowder.edap-cluster.com/datasets/62680e42e4b0e232136663ff",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-HTH295R-SAR",
          "accessURL": "https://github.com/USEPA/CompTox-HTH295R-SAR",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-23",
      "references": [
        "https://doi.org/10.1016/j.comtox.2022.100245",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569244"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Improving the Characterization of several Natural Emissions in CMAQ",
      "description": "These datasets contains all the data used to make the figures in the associated paper. The excel files are self-explanatory and can be directly used. While the other files in netcdf format, need a visualization tool (such as VERDI) or statistical software (such as R) to make statistical summary or plots. Portions of this dataset are inaccessible because: data will be uploaded when paper will be accepted by journal. They can be accessed through the following means: For excel files, the data can be directly used to make summary or plots. For netcdf files, another visualization tool or statistical package (such as R) can be used. All the netcdf files can be visualized using VERDI. Format: Two types of data formats. One is the excel files which are self-explanatory. The other type is netcdf files which are used to make the spatial plots in the paper. \n\nThis dataset is associated with the following publication:\nKang, D., J. Willison, G. Sarwar, M. Madden, C. Hogrefe, R. Mathur, B. Gantt, and S. Alfonso. Improving the Characterization of the Natural Emissions in CMAQ.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, (10): 1-7, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522615",
      "keyword": [
        "Lightning NOx emissions",
        "natural emissions",
        "MEGAN",
        "BVOCs",
        "Halogen",
        "BEIS"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "Region_Mthly_PARMvsNLDN_LNO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/Region_Mthly_PARMvsNLDN_LNO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PARM_LNOx_Monthly_mean_2016_07.ncf.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/PARM_LNOx_Monthly_mean_2016_07.ncf.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NLDN_LNOx_Monthly_mean_2016_07.ncf.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/NLDN_LNOx_Monthly_mean_2016_07.ncf.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "megan_july_avg_no_and_isop.nc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/megan_july_avg_no_and_isop.nc.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_IMPACT_WINTER_AVG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/COMBINE_O3_IMPACT_WINTER_AVG.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_IMPACT_SUMMER_AVG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/COMBINE_O3_IMPACT_SUMMER_AVG.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_IMPACT_SPRING_AVG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/COMBINE_O3_IMPACT_SPRING_AVG.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMBINE_O3_IMPACT_FALL_AVG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/COMBINE_O3_IMPACT_FALL_AVG.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "beis_july_avg_no_and_isop.nc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/beis_july_avg_no_and_isop.nc.zip",
          "mediaType": "application/x-netcdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AQS_Daily_O3_v53_INTEL_12US1_2016_CON_MG3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/AQS_Daily_O3_v53_INTEL_12US1_2016_CON_MG3.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AQS_Daily_O3_v53_INTEL_12US1_2016_CON_BE3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522615/AQS_Daily_O3_v53_INTEL_12US1_2016_CON_BE3.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The benthic food web connects the estuarine habitat mosaic to adjacent ecosystems",
      "description": "Supplementary data for \"Ester Dias, Pedro Morais, Carlos Antunes, Joel C. Hoffman, The benthic food web connects the estuarine habitat mosaic to adjacent ecosystems, Food Webs, Volume 35, 2023, e00282, ISSN 2352-2496, https://doi.org/10.1016/j.fooweb.2023.e00282.\". \n\nThis dataset is associated with the following publication:\nDias, E., P. Morais, C. Antunes, and J. Hoffman. The benthic food web connects the estuarine habitat mosaic to adjacent ecosystems.   Food Webs. Elsevier B.V., Amsterdam,  NETHERLANDS, 35: e00282, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529443",
      "keyword": [
        "Detritus",
        "connectivity",
        "River discharge",
        "Food Chain",
        "stables isotopes"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529443/Supplementary%20data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-02",
      "references": [
        "https://doi.org/10.1016/j.fooweb.2023.e00282"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Matched Sentinel-2 spectral data and chlorophyll a concentrations 2015-2020",
      "description": "The dataset includes Sentinel-2 spectral data for all bands spatiotemporally matched with available chlorophyll a concentration data from several data sources including the Water Quality Portal.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529420",
      "keyword": [
        "Validation",
        "water quality",
        "eutrophication",
        "sentinel-2",
        "chlorophyll",
        "MultiSpectral Instrument (MSI)",
        "chlorophyll a",
        "spectra",
        "Algorithms",
        "matchups"
      ],
      "contactPoint": {
        "fn": "Wilson Salls",
        "hasEmail": "mailto:salls.wilson@epa.gov"
      },
      "distribution": [
        {
          "title": "S2_chla_matchups.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529420/S2_chla_matchups.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Legends, Methods and Supplementary data files.",
      "description": "The meta data for the tables and figures are described in the Legends, Methods and Supplementary data files. \n\nThis dataset is associated with the following publication:\nSurette, M., D.M. Mitrano, and K. Rogers. Extraction and Concentration of Nanoplastic Particles from Aqueous Suspensions using Functionalized Magnetic Nanoparticles and a Magnetic Flow Cell.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,   ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524806",
      "keyword": [
        "microplastics",
        "environmental method",
        "Separation",
        "nanoplastics"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "Nanoplastic_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524806/Nanoplastic_Data.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-01",
      "references": [
        "https://doi.org/10.1186/s43591-022-00051-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All additional data associated with this publication can be accessed in the supplemental file",
      "description": "EPA employee associated with this research has retired. Supplemental material for this article contains additional information about the data, but for additional information on the data please contact the first author. \n\nThis dataset is associated with the following publication:\nTedla, G., and K. Rogers. Characterization of 3D printing filaments containing metal additives and their particulate emissions.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 875: 162648, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528545",
      "keyword": [
        "metal fill filaments",
        "Fused Filament Fabrication",
        "Human Exposure",
        "partrticulate emissions",
        "3D printing",
        "Trace metals"
      ],
      "contactPoint": {
        "fn": "Kim Rogers",
        "hasEmail": "mailto:rogers.kim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.scitotenv.2023.162648",
          "accessURL": "https://doi.org/10.1016/j.scitotenv.2023.162648",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-15",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.162648"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS DATA WOOD STOCK IN NEOTROPICAL STREAMS: QUANTIFYING AND COMPARING IN-STREAM WOOD AMONG BIOMES AND REGIONS",
      "description": "National Rivers and Streams Assessment (NRSA) physical habitat and ancillary GIS data from NRSA 2008-2009, and 2013-2014. Portions of this dataset are inaccessible because: Data is available in the attached excel file. They can be accessed through the following means: Data is available in the attached excel file. Format: Data is available in the attached excel file. \n\nThis dataset is associated with the following publication:\nSaraiva, S.O., I. Rutherfurd, P. Kaufmann, C.G. Leal, D.R. Macedo, and P.S. Pompeu. WOOD STOCK IN NEOTROPICAL STREAMS: QUANTIFYING AND COMPARING INSTREAM WOOD AMONG BIOMES AND REGIONS.   PLOS ONE. Public Library of Science, San Francisco, CA, USA,  0275464, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528120",
      "keyword": [
        "Riparian Forest",
        "Cerrado streams",
        "wood assessment",
        "Amazon streams",
        "temperate streams",
        "NARS (USA National Aquatic Resource Surveys)",
        "physical habitat"
      ],
      "contactPoint": {
        "fn": "Philip Kaufmann",
        "hasEmail": "mailto:kaufmann.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "journal.pone.0275464.s001.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528120/journal.pone.0275464.s001.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "journal.pone.0275464.s005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528120/journal.pone.0275464.s005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-04-23",
      "references": [
        "https://doi.org/10.1371/journal.pone.0275464",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534444"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Relating Climate Change and Vibriosis in the United States: Projected Health and Economic Impacts for the 21st Century\"",
      "description": "This paper represents, to our knowledge, the first national-level (United States) estimate of the economic impacts of vibriosis cases as exacerbated by climate change. Vibriosis is an illness contracted through food- and waterborne exposures to various Vibrio species (e.g., non-V. cholerae O1 and O139 serotypes) found in estuarine and marine environments, including within aquatic life, such as shellfish and finfish.\n\nData include all variables included in the regression models (\"cleaned all\"), climate variables (\"cleaned climate vars\"), county in which exposure occurred (\"expcty\"), county that reported diagnosis (\"rptcty\"), and sea surface temperature projections (identified by \"SST\"). Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529453",
      "keyword": [
        "vibrio",
        "vibrio vulnificus",
        "climate change",
        "CIRA",
        "human health",
        "One Health",
        "public health",
        "vibrio parahaemolyticus"
      ],
      "contactPoint": {
        "fn": "Caitlin Gould",
        "hasEmail": "mailto:gould.caitlin@epa.gov"
      },
      "distribution": [
        {
          "title": "repcty.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/repcty.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "expcty.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/expcty.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_All combined for regression.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/Data_All%20combined%20for%20regression.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "climvarshist.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/climvarshist.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ProjectedSST_GCMrawSSTdelta_forHI_ONLY_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/ProjectedSST_GCMrawSSTdelta_forHI_ONLY_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ProjectedSST_Coastline_Alaska.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/ProjectedSST_Coastline_Alaska.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ProjectedSST_Coastline.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529453/ProjectedSST_Coastline.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-30",
      "references": [
        "https://dx.doi.org/10.1289/ehp9999a",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422303",
        "https://pasteur.epa.gov/uploads/10.23719/1529453/documents/_MASTER..txt",
        "https://pasteur.epa.gov/uploads/10.23719/1529453/documents/Historical_Analysis.txt",
        "https://pasteur.epa.gov/uploads/10.23719/1529453/documents/MergeAll.txt",
        "https://pasteur.epa.gov/uploads/10.23719/1529453/documents/Projections_Valuation.txt"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NaKnowBase Interoperability Tools",
      "description": "This dataset is associated with the manuscript \"Translating nanoEHS data using EPA NaKnowBase and the Resource Description Framework\"\nmortensen h, Williams A, Beach B, Slaughter W, Senn J and Boyes W\nsubmitted 8/3/2023 to F1000:Nanotoxicology.\nThe dataset includes and RDF mapping of EPA NaKnowBase (NKB), the OntoSearcher code used to produce the file NKB RDF, as well as training materials and example files for the user. Portions of this dataset are inaccessible because: this data includes partner data and old code that has been modified since 2021. They can be accessed through the following means:  OntoSearcher_Training_Materials.zip. Format: The file entitled \"OntoSearcher_Training_Materials.zip\" includes updated materials as of 07/11/23. These files include the Ontosearcher tool materials, sample NKB dataset and corresponding training documentation on how to run the tool with the sample dataset, and apply to the users own data. This directory also includes the current RDF mapping of the NKB (NKB_RDF_V3.ttl).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529457",
      "keyword": [
        "nanoEHS",
        "nanomaterials",
        "ontology",
        "database"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1523156",
          "accessURL": "https://doi.org/10.23719/1523156",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OntoSearcher_Training_Materials.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529457/OntoSearcher_Training_Materials.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-23",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1529457/documents/OntoSearcher_Training_Materials.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata",
      "description": "Supplementary, illustrative data to follow along with the publication.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529445",
      "keyword": [
        "Spatial Statistics"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/record/7636130",
          "accessURL": "https://zenodo.org/record/7636130",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Captain Jack Data",
      "description": "This article uses a data set of geochemical tracers collected from the Captain Jack Mill Superfund Site in Colorado. The journal article is the result of a collaboration between U.S. EPA and the USGS. The data and analysis describes water-rock interactions and examines implications about mine water remediation. Portions of this dataset are inaccessible because: The data is publicly accessible on the USGS website. They can be accessed through the following means: Please see the USGS link above for the data. \r\nhttps://www.usgs.gov/data/hydrologic-and-geochemical-data-and-models-supporting-integrated-evaluation-captain-jack. Format: The data is publicly accessible on the USGS website. \n\nThis dataset is associated with the following publication:\nNewman, C., K. Walton-Day, R. Runkel, and R. Wilkin. Mechanisms of water-rock interaction and implications for remediating flooded mine workings elucidated from environmental tracers, stable isotopes, and rare earth elements.   APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 157(October 2023): 105769, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529454",
      "keyword": [
        "acid mine drainage",
        "Rare Earth Elements",
        "stable isotopes",
        "Groundwater Contaminant"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.usgs.gov/data/hydrologic-and-geochemical-data-and-models-supporting-integrated-evaluation-captain-jack",
          "accessURL": "https://www.usgs.gov/data/hydrologic-and-geochemical-data-and-models-supporting-integrated-evaluation-captain-jack",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-31",
      "references": [
        "https://doi.org/10.1016/j.apgeochem.2023.105769"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mortality in US Hemodialysis Patients Following Exposure to Wildfire Smoke; Data description",
      "description": "Data contains daily counts of mortality across continental US. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Wade.tim@epa.gov. Format: Data is contains PII. \n\nThis dataset is associated with the following publication:\nXi, Y., L.A. Wyatt, A. Kshirsagar, T. Wade, D.B. Richardson, M.A. Brookhart, and A. Rappold. Mortality in US Hemodialysis Patients Following Exposure to Wildfire Smoke.   Journal of the American Society of Nephrology. American Society of Nephrology (ASN), Washington, DC, USA, 31(8): 1824-35, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1503883",
      "keyword": [
        "wildfire",
        "kidney disease",
        "mortality"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2019-05-22",
      "references": [
        "https://doi.org/10.1681/asn.2019101066",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460895"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Mediation Analysis Annual Mortality",
      "description": "Annual mortality rates for US counties, air pollution concentrations. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please contact corresponding author. Format: Data is saved in Ascii and netcdf format. \n\nThis dataset is associated with the following publication:\nPeterson, G., C. Hogrefe, L. Neas, A. Corrigan, R. Mathur, and A. Rappold. Impacts of Reductions in Emissions from Major Source Sectors on Fine Particulate Matter-Related Cardiovascular Mortality.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 128(1): 17005, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1502463",
      "keyword": [
        "air quality",
        "cardiovascular mortality"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2018-07-02",
      "references": [
        "https://doi.org/10.1289/ehp5692",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015538"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Headwater Invertebrate Stream Study invertebrate datasets",
      "description": "Aquatic and terrestrial invertebrate density and biomass datasets at genus and family taxonomic levels. \n\nThis dataset is associated with the following publication:\nFritz, K., R. Kashuba, G. Pond, J. Christensen, L. Alexander, B.J. Washington, B. Johnson, D. Walters, W. Thoeny, and P. Weaver. Identifying invertebrate indicators for streamflow duration assessments in forested headwater streams.   Freshwater Science. The Society for Freshwater Science, Springfield, IL,  42(3): 247-267, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527802",
      "keyword": [
        "flow classification",
        "perennial",
        "intermittent",
        "indicators"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Headwater Invertebrate Stream Study invertebrate datasets.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527802/Headwater%20Invertebrate%20Stream%20Study%20invertebrate%20datasets.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-25",
      "references": [
        "https://doi.org/10.1086/726081"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527802/documents/Data%20Dictionary%20for%20Headwater%20Invertebrate%20Stream%20Study%20invertebrate%20datasets.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "ESF2012_PairedSaltRecipesStudy_AllData_SciInv",
      "description": "Water chemistry, periphyton measures, periphytic algae taxonomy and cell counts, benthic macroinvertebrate taxaonomy and counts, invertebrate drift, insect emergence, and single-species toxicity test data. \n\nThis dataset is associated with the following publication:\nNietch, C., N. Smucker, L. Gains-Germain, C. Peck, S. Guglielmi, S. Decelles, J. Lazorchak, B. Johnson, and P. Weaver. Using Single-Species and Whole Community Stream Mesocosm Exposures for Identifying Major Ion Effects in Doses Mimicking Resource Extraction Wastewaters.   WATER. MDPI, Basel,  SWITZERLAND, 15(2): 249, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528518",
      "keyword": [
        "Specific Conductivity",
        "water quality",
        "total dissolved solides",
        "mountain top mining",
        "algal periphyton",
        "salinity",
        "stream invertebrates",
        "ionic strength",
        "Marcellus Shale",
        "mesocosms",
        "Stream Mesocosm",
        "Whole Community Data"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "ESF2012_PairedSaltRecipesStudy_AllData_SciInv.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528518/ESF2012_PairedSaltRecipesStudy_AllData_SciInv.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-01",
      "references": [
        "https://doi.org/10.3390/w15020249"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lightning NOx Emissions in CMAQ Data",
      "description": "Meta Data of the dataset for “Assessing the Impact of Lightning NOx Emissions in CMAQ Using Lightning Flash Data from WWLLN over the Contiguous United States”\n\nFigure 2: ThreeYear_NLDN2WWLLN_byNOAAcr_Region_anal.xlsx. The names of the variable are self-explanatory and the original figure is included.\nFigure 3: NLDN_flash_Monthly_mean_2016_07.ncf.gz,  WWLLN_flash_Monthly_mean_2016_07.ncf.gz, WWLLNs_flash_Monthly_mean_2016_07.ncf.gz. These netcdf files contain the monthly mean values of gridded lightning flash rate for all the cases and the figure can be created using any netcdf visualization tool (such as VERDI) or statistical package (such as R).\n\nFigures 4,5,6: CMAQ_*_.rds.gz files. These files contain the paired observation-model O3 concentrations from all the model cases for hourly, daily max-8hr, and other statistics. The rds datasets can be read into R as data frame to make these figures.\n\nFigure 7 & 8: CCTM_CONC*.nc.gz. The vertical profiles (CONC) contain model data to make Figures 7 and 8. While the observation data are available publicly.\n\nFigure 9: NADP_v532_intel18_0_2016_CONUS_*.csv. \nFigure 10: avg*_DEP_concentrations*.nc.gz. These files contain the monthly mean vet deposition of NO3.\nFigure 11: NADP_v532_intel18_0_2016_CONUS_*.csv. \nFigure 12: *DDEP_TNO3_*.nc.gz. These files contain hourly dry deposition of TNO3 over the CONUS domain\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527715",
      "keyword": [
        "Lightning NOx emissions",
        "CMAQ",
        "air quality",
        "Ozone",
        "NOx"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.google.com/",
          "accessURL": "https://www.google.com/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-06",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/avg_NLDN_DEP_concentrations_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/avg_WWLLLNs_DEP_concentrations_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/avgBASE_DEP_concentrations_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/avgWWLLN_DEP_concentrations_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/BASE_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160723.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160713.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_BASE_20160720.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLN_20160713.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160720.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160723.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CCTM_CONC_O3_WWLLNs_20160713.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_dstat_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_dstat_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLN_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLNs_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLNs_O3PM25_AQS_dstat_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_NLDN_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_dm8hr_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_BASE_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLN_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/CMAQ_WWLLNs_O3PM25_AQS_Alldata_2016-07-01_2016-07-31.rds.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NADP_v532_intel18_0_2016_CONUS_NLDN.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NADP_v532_intel18_0_2016_CONUS_WWLLN.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NADP_v532_intel18_0_2016_CONUS_WWLLNs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/ThreeYear_NLDN2WWWLLN_byNOAAcr_Region_anal.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/NLDN_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLN_flash_Monthly_mean_2016_07.ncf.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLNsf_flash_Monthly_mean_2016_07.ncf.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLNs_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/WWLLN_DDEP_TNO3_v532_intel18.0_2016_CONUS_201607.nc.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527715/documents/Description%20of%20the%20dataset.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Multi-scale techno-economic assessment of nitrogen recovery systems for livestock operations",
      "description": "The datasets contain data required to determine the recovery efficiency and nitrogen losses of each of the six studied technologies and nitrogen recovery cost, as well as an environmental cost-benefit analysis to compare the nitrogen recovery cost versus the economic losses derived from its uncontrolled release into the environment. Also, the Tower flooding capacity correlation considering the packing pressure drop (Figure 3), the relative flows of inorganic nitrogen in the studied processes (Figure 4), the processing and nitrogen recovery costs of the assessed nitrogen recovery technologies for different livestock facility sizes, including the cost of pretreatment and AD stages (Figure 5), the processing and nitrogen recovery costs of the assessed nitrogen recovery technologies for different livestock facility sizes, excluding the cost of anaerobic digestion stage (Figure 6), and the other datasets to obtain the supplemental information figures. \n\nThis dataset is associated with the following publication:\nMartin-Hernandez, E., C. Montero-Rueda, G.J. Ruiz-Mercado, C. Vaneeckhaute, and M. Martin. Multi-scale techno-economic assessment of nitrogen recovery systems for livestock operations.   Sustainable Production and Consumption. Elsevier B.V., Amsterdam,  NETHERLANDS, 41: 49-63, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528489",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Nitrogen Recovery",
        "Livestock Industry",
        "Techno-economic assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig 2S ScrewPressCost.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%202S%20ScrewPressCost.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig1S_a AD_size_cost.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig1S_a%20AD_size_cost.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 1S_b OM_Unit_cost_ratio.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%201S_b%20OM_Unit_cost_ratio.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Figs_5_6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Figs_5_6.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Figs 4S_5S.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Figs%204S_5S.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 ScrubbingAmmoniaEvaporation_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20ScrubbingAmmoniaEvaporation_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 ScrubbingAirStrippingPacked_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20ScrubbingAirStrippingPacked_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Fig 4 Scrubbing_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20Scrubbing_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Fig 4 ScrewPress_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20ScrewPress_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 MULTIFORM_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20MULTIFORM_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 mixer_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20mixer_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 Membrane_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20Membrane_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "Fig 4 MAPHEX_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20MAPHEX_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 CHP_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20CHP_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 Centrifuge_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20Centrifuge_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 BiogasConditioning_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20BiogasConditioning_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 AmmoniaEvaporation_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20AmmoniaEvaporation_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
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          "title": "Fig 4 AirStrippingPacked_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20AirStrippingPacked_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 4 AD_balances.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%204%20AD_balances.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig 3S.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig%203S.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Fig3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528489/Fig3.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-02-01",
      "references": [
        "https://doi.org/10.1016/j.spc.2023.07.028",
        "https://pasteur.epa.gov/uploads/10.23719/1528489/documents/Sup%20Info%20Manuscript%20Nitrogen_Revision%20for%20RAPID%2002-01-23.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Forshay et al. 2022 Biogeochemistry https://doi.org/10.23719/1520759",
      "description": "Soil properties, processing rates, and water chemistry data. \n\nThis dataset is associated with the following publication:\nForshay, K., J. Weitzman, J. Wilhelm, J. Hartranft, D. Merritts, M. Rahnis, R. Walter, and P. Mayer. Unearthing a stream-wetland floodplain system: increased denitrification and nitrate retention at a legacy sediment removal restoration site, Big Spring Run, PA, USA.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, (161): 171-191, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529460",
      "keyword": [
        "biogeochemistry",
        "nitrogen retention",
        "denitrification",
        "Chesapeake Bay",
        "nitrogen",
        "Floodplain",
        "legacy sediment",
        "stoichiometry",
        "restoration",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHubDataSetBSRBiogeochemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529460/ScienceHubDataSetBSRBiogeochemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-05",
      "references": [
        "https://doi.org/10.1007/s10533-022-00975-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating adaptive stress response gene signatures using transcriptomics- Data for Figures 1-4",
      "description": "The construction of SRP consensus signatures sets was completed in three steps. First, we constructed consensus signatures by merging and pruning relevant gene sets from the MSigDB v7.1. Second, we developed an independent gene expression validation set by identifying reference perturbagens from the literature and curating their transcriptomic profiles from publicly available sources. Third, we used gene set enrichment analysis (GSEA) to score matches between signatures and transcriptomic profiles. Lastly, we evaluated the performance of GSEA scores as classifiers of SRP activity within reference perturbagen transcriptomic profiles using ROC AUC analysis. \n\nThis dataset is associated with the following publication:\nChambers, B., and I. Shah. Evaluating adaptive stress response gene signatures using transcriptomics.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 20: 100179, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523149",
      "keyword": [
        "stress response pathways",
        "transcriptomics",
        "gene signatures",
        "receiver operating characteristic",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Imran Shah",
        "hasEmail": "mailto:shah.imran@epa.gov"
      },
      "distribution": [
        {
          "title": "supplemental-materials-tables-v4.21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523149/supplemental-materials-tables-v4.21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-22",
      "references": [
        "https://doi.org/10.1016/j.comtox.2021.100179"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Steubenville, OH phosphorus in event wet-only precipitation data from October 15, 2002 - March 7, 2008.",
      "description": "Steubenville, OH Phosphorous in event wet-only precipitation data from October 15, 2002 - March 7, 2008. \n\nThis dataset is associated with the following publication:\nLynam, M., L. Oriol, T. Mann, J.T. Dvonch, J. Barres, L. Gratz, E. White, M. Landis, N. Mahowald, C. Xi, and A. Steiner. Atmospheric Dry and Wet Deposition of Total Phosphorus to the Great Lakes.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 313: 0, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528981",
      "keyword": [
        "Great Lakes",
        "phosphorus",
        "wet deposition"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Steubenville_Phosphorus_Data_2023_05_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528981/Steubenville_Phosphorus_Data_2023_05_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set associated with benzyl alcohol paper 2022",
      "description": "Benzyl alcohol paper data set. \n\nThis dataset is associated with the following publication:\nJaoui, M., K. Docherty, M. Lewandowski, and T. Kleindienst. Yields and molecular composition of gas-phase and secondary organic aerosol from the photooxidation of the volatile consumer product benzyl alcohol: formation of highly oxygenated and hydroxy nitro-aromatic compounds.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 23(8): 4637–4661, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527893",
      "keyword": [
        "SOA",
        "yield",
        "consumer products",
        "Nitroaromatic compounds"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "BnOH_paper_STICS_8-23-22_MJaoui.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527893/BnOH_paper_STICS_8-23-22_MJaoui.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-24",
      "references": [
        "https://doi.org/10.5194/acp-23-4637-2023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with Dual Site Study Analytic Element Domain Boundary Conditions for Site-Scale Groundwater Flow Modeling Los Angeles Basin",
      "description": "The zip file contains the model files supporting the paper:\n\nKraemer, S.R. 2023. Analytic element domain boundary conditions for site-scale groundwater flow modeling Los Angeles basin, Groundwater, doi: 10.1111/gwat.13322. \n\nThis dataset is associated with the following publication:\nKraemer, S. Analytic Element Domain Boundary Conditions for Site-Scale Groundwater Flow Modeling Los Angeles Basin.   Groundwater. Wiley-Blackwell, Hoboken, NJ, USA, 61(5): 743-753, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528968",
      "keyword": [
        "groundwater modeling",
        "boundary conditions",
        "hydraulic containment",
        "analytic element method"
      ],
      "contactPoint": {
        "fn": "Stephen Kraemer",
        "hasEmail": "mailto:kraemer.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "DualSiteStudy_supporting_model_files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528968/DualSiteStudy_supporting_model_files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-01",
      "references": [
        "https://doi.org/10.1111/gwat.13322"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of Methylene Blue or Dimethyl Sulfoxide on Larval Zebrafish Development and Behavior",
      "description": "Data for Joan M. Hedge, et al., Influence of Methylene Blue or Dimethyl Sulfoxide on Larval Zebrafish Development and Behavior.\nZebrafish.   http://doi.org/10.1089/zeb.2023.0017. \n\nThis dataset is associated with the following publication:\nHedge, J., D. Hunter, E. Sanders, K. Jarema, J. Olin, K. Britton, M. Lowery, B. Knapp, S. Padilla, and B. Hill. Influence of Methylene Blue or Dimethyl Sulfoxide on Larval Zebrafish Development and Behavior.   Zebrafish. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 20(4): 132-145, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529355",
      "keyword": [
        "zebrafish",
        "behavior",
        "larvae",
        "methylene blue",
        "DMSO",
        "Developmental Toxicity"
      ],
      "contactPoint": {
        "fn": "Joan Hedge",
        "hasEmail": "mailto:hedge.joan@epa.gov"
      },
      "distribution": [
        {
          "title": "HedgeHillSupplementalData3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529355/HedgeHillSupplementalData3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HedgeHillSupplementalData2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529355/HedgeHillSupplementalData2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HedgeHillSupplementalData1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529355/HedgeHillSupplementalData1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-11",
      "references": [
        "https://doi.org/10.1089/zeb.2023.0017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effect of membrane performance variability with temperature and feed composition on pervaporation and vapor permeation system design for solvent drying",
      "description": "Dataset provides all of the values presented in figures in the associated manuscript \"Effect of membrane performance variability with temperature and feed composition on pervaporation and vapor permeation system design for solvent drying\". \n\nThis dataset is associated with the following publication:\nVane, L. Effect of membrane performance variability with temperature and feed composition on pervaporation and vapor permeation system design for solvent drying.   Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD,   UK, 97(10): 2706-2719, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526074",
      "keyword": [
        "Membrane Technology",
        "materials management",
        "solvent re",
        "solvent dehydration"
      ],
      "contactPoint": {
        "fn": "Leland Vane",
        "hasEmail": "mailto:vane.leland@epa.gov"
      },
      "distribution": [
        {
          "title": "Calculated Values for Variable Permeability Graphs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526074/Calculated%20Values%20for%20Variable%20Permeability%20Graphs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-04",
      "references": [
        "https://doi.org/10.1002/jctb.7161"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS flushing from home plumbing and impacts of stagnation",
      "description": "Per- and polyfluoroalkyl substances (PFAS) from aqueous film forming foam (AFFF) can be accidentally backflushed into drinking water systems during firefighting operations or at industrial facilities.  If this contaminated water enters household plumbing systems, homeowners may need to decontaminate their plumbing.  This study examines the persistence of PFAS from AFFF on home plumbing, along with the effects of flushing and stagnation.  Two sources of AFFF were investigated, representing older formulations (that contain longer chain PFAS) and newer formulations (that contain shorter chain PFAS). Experiments were conducted in copper, polyvinyl chloride (PVC), and cross-linked polyethylene (PEX) pipes with flushing after contamination followed by intermittent flow and periods of stagnation meant to mimic typical household use.  Flushing immediately reduced the PFAS concentration in water leaving the pipe by 99.95 to 99.99%. However, PFAS concentration increased after periods of stagnation, corresponding to slow release of adhered PFAS. \n\nThis dataset is associated with the following publication:\nSzabo, J., S. Witt, N. Sojda, D. Schupp, and M. Magnuson. Flushing Home Plumbing Pipes Contaminated with Aqueous Film-Forming Foam Containing Per- and Polyfluoroalkyl Substances.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(9): 05023007-(1-8), (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526359",
      "keyword": [
        "Premise Plumbing",
        "PFAS",
        "drinking water",
        "Decontamination"
      ],
      "contactPoint": {
        "fn": "Jeffrey Szabo",
        "hasEmail": "mailto:szabo.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS Flushing Data SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526359/PFAS%20Flushing%20Data%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-18",
      "references": [
        "https://doi.org/10.1061/joeedu.eeeng-7315"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessment of Ohio Landfill Moisture Contents",
      "description": "Data from the manuscript regarding the analysis of leachate volumes at Ohio landfills to assess sources of moisture. Data includes moisture contents, precipitation, evaportranspiration, and leachate volumes or masses. \n\nThis dataset is associated with the following publication:\nKrause, M., W. Eades, N. Detwiler, D. Marro, A. Schwarber, and T. Tolaymat. Assessing moisture contributions from precipitation, waste, and leachate for active municipal solid waste landfills.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 344: 118443, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526474",
      "keyword": [
        "leachate",
        "Landfill",
        "evapotranspiration",
        "Water Balance",
        "precipitation",
        "moisture content"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Water balance Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526474/Water%20balance%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-25",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.118443"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Culture-experiment dataset ",
      "description": "The dataset including qPCR and microcystin is used for assessment of treatment. \n\nThis dataset is associated with the following publication:\nStruewing, I., N. Sienkiewicz, C. Zhang, N. Dugan, and J. Lu. Effective Early Treatment of Microcystis Exponential Growth and Microcystin Production with Hydrogen Peroxide and Hydroxyapatite.   Toxins. MDPI, Basel,  SWITZERLAND, 15(1): 3, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529458",
      "keyword": [
        "microcystin",
        "oxidation",
        "absorption",
        "qPCR",
        "exponential growth",
        "mitigation",
        "microcystis aeruginosa"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Culture-experiment dataset .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529458/Culture-experiment%20dataset%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-01",
      "references": [
        "https://doi.org/10.3390/toxins15010003",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864239"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "River basin simulations reveal wide-ranging wetland-mediated nitrate load reductions",
      "description": "Supporting information for \"River basin simulations reveal wide-ranging wetland-mediated nitrate load reductions\". Supporting information includes the calibrated baseline model and the modified Soil and Water Assessment Tool (SWAT) source code and executable file. The supporting information also provides metadata -- and download links -- for the model input and output files for all model runs described in the manuscript. \n\nThis dataset is associated with the following publication:\nEvenson, G., H. Golden, J. Christensen, C. Lane, M. Kalcic, A. Rajib, Q. Wu, D.T. Mahoney, E. White, and E. D'Amico. River Basin Simulations Reveal Wide-Ranging Wetland-Mediated Nitrate Reductions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 27(26): 9822-9831, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529537",
      "keyword": [
        "nitrogen",
        "Harmful Algal Blooms",
        "Watershed",
        "water quality",
        "best management practices (BMPs)",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Grey Evenson",
        "hasEmail": "mailto:evenson.grey@epa.gov"
      },
      "distribution": [
        {
          "title": "Evenson_etal_ES&T_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529537/Evenson_etal_ES%26T_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-15",
      "references": [
        "https://doi.org/10.1021/acs.est.3c02161"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FengChang et al_ML Output.xlsx",
      "description": "Outputs from WRF, EPIC, VIC. Outputs and analysis from the ML-based model described in the paper. \n\nThis dataset is associated with the following publication:\nFeng Chang, C., M. Astitha, Y. Yuan, C. Tang, P. Vlahos, V. Garcia, and U. Khaira. A New Approach to Predict Tributary Phosphorus Loads Using Machine Learning– and Physics-Based Modeling Systems.    Artificial Intelligence for the Earth Systems. American Meteorological Society, Boston, MA, USA, 2(3): 1-43, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529548",
      "keyword": [
        "tributary phosphorus loads",
        "machine learning",
        "eutrophication",
        "numerical prediction models"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "FengChang et al_ML Outputs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529548/FengChang%20et%20al_ML%20Outputs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-06",
      "references": [
        "https://doi.org/10.1175/aies-d-22-0049.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in the manuscript \"An Analysis of CMAQ Gas Phase Dry Deposition over North America Through Grid-Scale and Land-Use Specific Diagnostics in the Context of AQMEII4\"",
      "description": "This dataset contains the data used to generate the figures in the manuscript \"An Analysis of CMAQ Gas Phase Dry Deposition over North America Through Grid-Scale and Land-Use Specific Diagnostics in the Context of AQMEII4\". It also contains the data used to generate teh figures in the supplemental material. \n\nThis dataset is associated with the following publication:\nHogrefe, C., J. Bash, J. Pleim, D. Schwede, R. Gilliam, K. Foley, K. Appel, and R. Mathur. An Analysis of CMAQ Gas Phase Dry Deposition over North America Through Grid-Scale and Land-Use Specific Diagnostics in the Context of AQMEII4.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 23(14): 8119–8147, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528362",
      "keyword": [
        "M3Dry",
        "Dry Deposition",
        "stage",
        "model evaluation",
        "CMAQ",
        "AQMEII"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "HogrefeEtAl_ACP2023_10_FigureData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528362/HogrefeEtAl_ACP2023_10_FigureData.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-15",
      "references": [
        "https://doi.org/10.5194/acp-23-8119-2023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528362/documents/DataDictionary_HogrefeEtAl.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality data",
      "description": "The ZTRAX data is a national database of property sales collected by Zillow.  The data is available to researchers who submit a research proposal to Zillow. Portions of this dataset are inaccessible because: Not publicly available. They can be accessed through the following means: Requires a data sharing agreement with Zillow. Format: National property sales database\r\n\r\nhttps://www.zillow.com/research/ztrax/. \n\nThis dataset is associated with the following publication:\nMamun, S., A. Castillo, K. Swedberg, J. Zhang, K.J. Boyle, D. Cardoso, C.L. King, C. Nolte, M. Papenfus, D. Phaneuf, and S. Polasky. Valuing water quality in the United States using a national dataset on property values.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 120(5): e2210417120, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526547",
      "keyword": [
        "water quality",
        "property values",
        "national study",
        "economics",
        "economic benefits",
        "spatial heterogeneity"
      ],
      "contactPoint": {
        "fn": "Michael Papenfus",
        "hasEmail": "mailto:papenfus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://lagoslakes.org/",
          "accessURL": "https://lagoslakes.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.waterqualitydata.us/",
          "accessURL": "https://www.waterqualitydata.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-24",
      "references": [
        "https://doi.org/10.1073/pnas.2210417120",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104588"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/WaterResourceEconomics/PNAS-NWH"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for AQMEII-4 Activity 2 Technical Note - version 1",
      "description": "The data set consists of measurements obtained during ozone flux studies. This dataset is not publicly accessible because: The data is not publicly available and is only available to activity participants via a password protected site. It can be accessed through the following means: Some data sets are available publicly as cited in the references.  Other data sets must be obtained directly from the principal investigator who conducted the experimental study. Format: The data files are in text format. \n\nThis dataset is associated with the following publication:\nClifton, O., D. Schwede, C. Hogrefe, J. Bash, S. Bland, P. Cheung, M. Coyle, L. Emberson, J. Fleming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C. Holmes, L. Horváth, V. Huijnen, Q. Li, P. Makar, I. Mammarella, G. Manca, W. Munger, J. Pérez-Camanyo, J. Pleim, L. Limei Ran, R. San Jose, S. Silva, R. Staebler, S. Sun, A. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, and L. Zhang. A single-point modeling approach for the intercomparison and evaluation of ozone dry deposition across chemical transport models (Activity 2 of AQMEII4).   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 23(17): 9911–9961, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523122",
      "keyword": [
        "atmospheric deposition",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Donna Schwede",
        "hasEmail": "mailto:schwede.donna@epa.gov"
      },
      "distribution": [],
      "modified": "2021-09-15",
      "references": [
        "https://doi.org/10.5194/acp-23-9911-2023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Lakes Assessment (NLA) 2007 Report: Archived Data",
      "description": "National Lakes Assessment 2007 Datafiles for Report “National Lakes Assessment: A Collaborative Survey of the Nation’s Lakes”: \n\nThe National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. The first NLA was conducted in 2007. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA report. Sampling was conducted in the summer of 2007 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, water isotopes, zooplankton, etc.  Users are encouraged to visit the NARS data webpage for potential updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys\n\nCitation for the NLA 2007 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2007 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-lakes-assessment-2007-report. DOI: 10.23719/1529550\n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation.  EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2007 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”\n\nAdditional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529550",
      "keyword": [
        "lakes",
        "reservoirs",
        "National Lakes Assessment",
        "NLA",
        "EPA",
        "states",
        "Tribes",
        "statistical survey",
        "condition",
        "NARS",
        "National Aquatic Resource Surveys (NARS)",
        "chemical",
        "physical habitat",
        "biological",
        "assessment"
      ],
      "contactPoint": {
        "fn": "Sarah Lehmann",
        "hasEmail": "mailto:lehmann.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/national-lakes-assessment-2007-report",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/national-lakes-assessment-2007-report",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-07-11",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for journal article 'Determinants of gene expression in the human liver: Impact of aging and sex on xenobiotic metabolism'",
      "description": "Gene array data files compared gene expression profiles in liver samples from young (21-45 years) and old (69+ years) men and women to determine changes in the expression of xenobiotic metabolism enzymes and transporters. We identified genes that were differentially expressed in males only, females only, or in all individuals between the young and old using microarray. \n\nThis dataset is associated with the following publication:\nCorton, J., J. Lee, J. Liu, H. Ren, B. Vallanat, and M. Devito. Determinants of Gene Expression in the Human Liver: Impact of Aging and Sex on Xenobiotic Metabolism.   Experimental Gerontology. Elsevier Science Ltd, New York, NY, USA, 169: 111976, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528717",
      "keyword": [
        "human liver",
        "transcript profiling",
        "age",
        "sex",
        "P450 enzyme activities",
        "Xenobiotic metabolizing genes"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE133815",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE133815",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-07-06",
      "references": [
        "https://doi.org/10.1016/j.exger.2022.111976"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differential expressed mRNA and microRNA from expression profiling by RNA and small RNA sequencing",
      "description": "data was from HepG2 cells treated with nano-silver particles using silver nitrate as negative controls.    Differentially expressed messenger RNA and microRNA were obtained by RNA sequencing and data analysis.  Differentially expressed RNA and microRNA lists were than uploaded to Ingenuity Pathway Analysis to find the pathways altered by the differentially expressed genes. \n\nThis dataset is associated with the following publication:\nThai, S., C. Jones, B. Robinette, H. Ren, B. Vallanat, A. Fisher, and K. Kitchin. Effects of Silver Nanoparticles and Silver Nitrate on mRNA and microRNA Expression in Human Hepatocellular Carcinoma Cells (HepG2).   Journal of Nanoscience and Nanotechnology. American Scientific Publishers, VALENCIA, CA, USA, 21(11): 5414-5428, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1520580",
      "keyword": [
        "nano silver",
        "silver nitrate",
        "transcriptomics",
        "microRNA expression",
        "Target Filter Analysis",
        "signaling pathways"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "DEG-0.05-result_AgNO3_1_8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgNO3_1_8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgNO3_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgNO3_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgNO3_0_25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgNO3_0_25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgNO3_0_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgNO3_0_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgS_40.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgS_40.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgS_20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgS_20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgS_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgS_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-result_AgS_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/DEG-0.05-result_AgS_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AgNO3 miR lists.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/AgNO3%20miR%20lists.csv",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AgS miRNA lists.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520580/AgS%20miRNA%20lists.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-01",
      "references": [
        "https://doi.org/10.1166/jnn.2021.19481"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AUV and a Remotely Operated Vehicle Gulper Chemistry Data",
      "description": "Data from underwater oil detection technologies are provided (1) A Remote Environmental Monitoring UnitS (REMUS-600) AUV equipped with fluorescence and backscatter SeaOWL UV-A (Oil-in-Water Locator; Sea-Bird Scientific WET Labs Inc.), holographic imager (HoloCam; SeaScan, Inc), hydrographic information, video camera, CTD and a water/oil sampler.  (2) A tethered ROV system (DTG2, Deep Trekker Inc.) equipped with video camera, UviLux (Chelsea Technologies Group, Inc) fluorometer, a CTD and water/oil sampler.  Calibration and validation tests of the sensor suite were conducted at the Coastal Response Research Center flume tank (NH, USA). Oil concentration estimates were verified by chemical analysis of hydrocarbons and particle size analysis (LISST 200X, Sequoia, Inc). Operational performance of the ROV platform and sensors was evaluated at the Ohmsett wave tank (NJ, USA). Field performance of the REMUS and sensor suite was evaluated at natural seeps near Santa Barbara, CA. \n\nThis dataset is associated with the following publication:\nGomez-Ibanez, D., A. Kukulya, A. Belani, R. Conmy, D. Sundaravadivelu, and L. DiPinto. Autonomous water sampler for oil spill response.   Journal of Marine Science and Engineering. MDPI, Basel,  SWITZERLAND, 10(4): 526, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529583",
      "keyword": [
        "environmental cleanup",
        "Oil and Gas",
        "chemicals",
        "emergency response"
      ],
      "contactPoint": {
        "fn": "Robyn Conmy",
        "hasEmail": "mailto:conmy.robyn@epa.gov"
      },
      "distribution": [
        {
          "title": "AUV Gulper Chemistry Data Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529583/AUV%20Gulper%20Chemistry%20Data%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-30",
      "references": [
        "https://doi.org/10.3390/jmse10040526"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Geographical and Seasonal Patterns in the Carbonate Chemistry of Narragansett Bay, RI",
      "description": "This data comprises geographical and seasonal patterns in water quality and carbonate chemistry parameters in Narragansett Bay, RI, USA. Direct measurements of salinity, temperature, dissolved oxygen concentration, dissolved oxygen percent saturation, pH on the NBS scale, dissolved inorganic carbon concentration, and total alkalinity concentration were performed during monthly sampling cruises carried out over three years. The information provided by carbonate chemistry analysis allowed for the characterization of acidification in this estuary. Portions of this dataset are inaccessible because: NA. They can be accessed through the following means: NA. Format: NA. \n\nThis dataset is associated with the following publication:\nPimenta, A.R., A. Oczkowski, R. McKinney, and J. Grear. Geographical and seasonal patterns in the carbonate chemistry of Narragansett Bay, RI.   Regional Studies in Marine Science. Elsevier B.V., Amsterdam,  NETHERLANDS, 62(September 2023): 102903, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523131",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "aragonite saturation",
        "carbonate chemistry",
        "coastal acidification"
      ],
      "contactPoint": {
        "fn": "Adam Pimenta",
        "hasEmail": "mailto:pimenta.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "Water Quality and Carbonate Chemistry Parameters In Narragansett Bay, RI, USA.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523131/Water%20Quality%20and%20Carbonate%20Chemistry%20Parameters%20In%20Narragansett%20Bay%2C%20RI%2C%20USA.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-13",
      "references": [
        "https://doi.org/10.1016/j.rsma.2023.102903"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
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        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1523131/documents/Water%20Quality%20and%20Carbonate%20Chemistry%20Parameters%20In%20Narragansett%20Bay%2C%20RI%2C%20USA%20-%20Data%20Dictionary.docx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Performance data for enhanced Innovative/Alternative (I/A) septic systems for nitrogen removal installed in a field demonstration in Barnstable, Massachusetts (2021 - 2025)",
      "description": "Performance data for enhanced I/A septic systems designed for nitrogen removal that were installed during a demonstration project in Barnstable, MA. Includes 1) field and laboratory measurements of water quality parameters in influent, effluent, and lysimeters below leach fields (where available) and 2) metered flow to each system. The initial release (Version 1) includes data collected from 2021-12-10 through 2023-05-03. The second release (Version 2) adds data through 2023-12-04. The third and final release adds (Version 3) adds data through 2025-07-21. The README file contains additional details, including notes on data limitations and a change log.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
      ],
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1529539",
      "keyword": [
        "wastewater monitoring",
        "Nitrogen and Co-pollutants",
        "septic systems",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Laura Erban",
        "hasEmail": "mailto:erban.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "V1 data release.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529539/V1%20data%20release.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "V2 data release.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529539/V2%20data%20release.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "V3 data release.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529539/V3%20data%20release.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SDR2022",
      "description": "Qualitative interviews related to experiences with the nutrients solutions-driven research pilot based out of EPA-ORD-ACESD. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Only people with CITI Training and associated with the project can access the raw data due to human subject research ethics requirements. Format: Word documents and NVivo file. \n\nThis dataset is associated with the following publication:\nCanfield, K.N., K. Mulvaney, and C.D. Chatelain. Using researcher and stakeholder perspectives to develop promising practices to improve stakeholder engagement in the solutions-driven research process.   Socio-Ecological Practice Research. Springer Nature, New York, NY,  4(3): 189-203, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529547",
      "keyword": [
        "nutrients",
        "applied social science",
        "stakeholder engagement"
      ],
      "contactPoint": {
        "fn": "Katherine Canfield",
        "hasEmail": "mailto:canfield.katherine@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-23",
      "references": [
        "https://doi.org/10.1007/s42532-022-00119-5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281378"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "FHM reference genome, annotation, and all associated DNA and RNA-sequencing data   ",
      "description": "The dataset contains the full fathead minnow (FHM) reference genome and annotation data as well all DNA sequencing data (PacBio long reads and Illumina paired-end reads) and RNA-seq data that were used to create the fathead minnow genome reference. \n\nThis dataset is associated with the following publication:\nMartinson, J., D. Bencic, G. Toth, R. Flick, M. Kostich, M.J. See, D. Lattier, A. Biales, and W. Huang. De Novo Assembly of the Nearly Complete Fathead Minnow Reference Genome Reveals a Repetitive but Compact Genome.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(2): 448-461, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1520933",
      "keyword": [
        "Clean Water Act",
        "complete genome",
        "Fathead minnows",
        "aquatic toxicity",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "Weichun Huang",
        "hasEmail": "mailto:huang.weichun@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/assembly/GCF_016745375.1/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/assembly/GCF_016745375.1/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA565199/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA565199/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN12875914/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN12875914/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-03-01",
      "references": [
        "https://doi.org/10.1002/etc.5266",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560796"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of metformin and its metabolite guanylurea on fathead minnow (Pimephales promelas) reproduction",
      "description": "Data associated with exposures of fathead minnows to varying concentrations of metformin and/or guanylurea. Includes three individual studies: ex vivo steroidogenesis assay, 96 h time course assay, 23 d reproduction assay. \n\nThis dataset is associated with the following publication:\nBlackwell, B., G. Ankley, A. Biales, J. Cavallin, A. Cole, T. Collette, D. Ekman, R. Hofer, W. Huang, K. Jensen, M. Kahl, A. Kittelson, S. Romano, M. See, Q. Teng, C. Tilton, and D. Villeneuve. Effects of Metformin and its Metabolite Guanylurea on Fathead Minnow (Pimephales promelas) Reproduction (FY22 Manuscript).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(11): 2708-2720, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526538",
      "keyword": [
        "reproduction",
        "aquatic toxicity",
        "pharmaceuticals",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_metformin effects_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526538/SciHub_metformin%20effects_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-01",
      "references": [
        "https://doi.org/10.1002/etc.5450"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke",
      "description": "This dataset provides the dataset used in the paper \"Correction and Accuracy of PurpleAir PM2.5 Measurements for Extreme Wildfire Smoke\".",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528138",
      "keyword": [
        "air sensor",
        "pm2.5",
        "air quality",
        "smoke"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_PurpleAirSmoke_Barkjohn_3_15_23.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528138/Dataset_PurpleAirSmoke_Barkjohn_3_15_23.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of a Multiplexed, Multispecies Nuclear Receptor Assay for Chemical Hazard Assessment",
      "description": "Table S1. All chemicals and AC50 from invitrodb v3 for human FACTORIAL-TRANS assay endpoints.\nTable S2. Agreement with OECD reference AR agonists.\nTable S3. Agreement with OECD reference ER agonists.\nTable S4. Agreement with OECD reference ER antagonists.\nTable S5. Summary results of 191 test chemicals AC50 agreements\nTable S6. Curve fitting parameters for all endpoints.\nWord File: Supplementary data. \n\nThis dataset is associated with the following publication:\nHouck, K., A. Simha, A. Bone, J. Doering, S. Vliet, C. LaLone, A. Medvedev, and S. Makarov. Evaluation of a Multiplexed, Multispecies Nuclear Receptor Assay for Chemical Hazard Assessment.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 72: 105016, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518765",
      "keyword": [
        "Endocrine Disruptors",
        "nuclear receptor",
        "multiplexed assay",
        "ecotoxicoloty",
        "reporter gene",
        "zebrafish",
        "ToxCast",
        "High throughput screening",
        "high throughput toxicology"
      ],
      "contactPoint": {
        "fn": "Keith Houck",
        "hasEmail": "mailto:houck.keith@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data, S1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/Supplemental%20Data%2C%20S1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TableS1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518765/TableS1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-21",
      "references": [
        "https://doi.org/10.1016/j.tiv.2020.105016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Thyroid Hormone Action Controls Multiple Components of Cell Junctions at the Ventricular Zone in the Newborn Rat Brain\"",
      "description": "Raw data accompanying \"Thyroid Hormone Action Controls Multiple Components of Cell Junctions at the Ventricular Zone in the Newborn Rat Brain\". \n\nThis dataset is associated with the following publication:\nO'Shaughnessy, K., B. McMichael, A. Sasser, K. Bell, C. Riutta, J. Ford, T. Stoker, R. Grindstaff, A. Pandiri, and M. Gilbert. Thyroid Hormone Action Controls Multiple Components of Cell Junctions at the Ventricular Zone in the Newborn Rat Brain.   Frontiers in Endocrinology. Frontiers, Lausanne,  SWITZERLAND, 14: 1090081, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527871",
      "keyword": [
        "in vivo",
        "RNA-Seq",
        "thyroid",
        "transcriptomics",
        "Children's Environmental Health",
        "children's health",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Katherine O'Shaughnessy",
        "hasEmail": "mailto:oshaughnessy.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "OShaughnessyetalScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527871/OShaughnessyetalScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-17",
      "references": [
        "https://doi.org/10.3389/fendo.2023.1090081",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950412"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Male Fathead Minnow Transcriptomes and Associated Chemical Analytes in Milwaukee Estuary System",
      "description": "This dataset presents the full hepatic transcriptomes of fathead minnows (Pimephales promelas) caged for four days at multiple sites within the Milwaukee Estuary area of concern and additional control sites. At these same sites over the same period of exposure, time integrated water samples were collected and assessed for the presence of over 170 relevant chemical analytes. Access to both full sequencing of fish samples as well as water contaminant data will allow others to explore the health of these ecosystems. \n\nThis dataset is associated with the following publication:\nGarcia-Reyero, N., M. Arick II, A. Woolard, M. Wilbanks, J. Mylroie, K. Jensen, M. Kahl, D. Feifarek, S. Poole, E. Randolph, J. Cavallin, B. Blackwell, D. Villeneuve, G. Ankley, and E. Perkins. Male fathead minnow transcriptomes and associated chemical analytes in the Milwaukee estuary system.   Scientific Data. Springer Nature, New York, NY, USA, 9: 476, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518645",
      "keyword": [
        "fathead minnow",
        "transcriptome",
        "adverse outcome pathway",
        "ecotoxicology",
        "endocrine disruption",
        "screening and prioritization",
        "aquatic ecosystems"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "GLTED Milwaukee 2017 Fish Collection Data (Woolard et al).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518645/GLTED%20Milwaukee%202017%20Fish%20Collection%20Data%20%28Woolard%20et%20al%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://zenodo.org/record/3608341#.XqsTrGhKjcs",
          "accessURL": "https://zenodo.org/record/3608341#.XqsTrGhKjcs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE144301",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE144301",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-30",
      "references": [
        "https://doi.org/10.1038/s41597-022-01553-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352792"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Results of CAMx photochemical air quality model simulations",
      "description": "The Western States Air Partnership and their consultant Ramboll Corporation perform photochemical air quality modeling simulations to evaluate emissions sources that contribute to regional haze at Class I areas.  Complete model input and output datasets (many terrabytes of data on hard drives) are available through the Intermountain West Data Warehouse.  A summary of the key modeling results used in the publications is included in a spreadsheet. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529609",
      "keyword": [
        "Regional Haze",
        "Anthropogenic Visibility Impairment",
        "source apportionment",
        "photochemical modeling"
      ],
      "contactPoint": {
        "fn": "Gail Tonnesen",
        "hasEmail": "mailto:tonnesen.gail@epa.gov"
      },
      "distribution": [
        {
          "title": "https://views.cira.colostate.edu/tssv2/Express/ModelingTools.aspx",
          "accessURL": "https://views.cira.colostate.edu/tssv2/Express/ModelingTools.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "12WUS2_barchart_worst_MID_extinction_v2_20200218_addDec31.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529609/12WUS2_barchart_worst_MID_extinction_v2_20200218_addDec31.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "references": [
        "https://dx.doi.org/10.1080/10962247.2022.2126556"
      ],
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        "name": "U.S. Environmental Protection Agency",
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            "name": "U.S. Government"
          }
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      "accessRights": "public"
    },
    {
      "title": "supporting data for publication",
      "description": "The xcel spreadsheet includes results of photochemical model simulations of regional haze that were used to develop the tables and figures included in the publication. Citation information for this dataset can be found in Data.gov's References section.",
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        "020:00"
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1529593",
      "keyword": [
        "Visibility",
        "Regional Haze",
        "IMPROVE",
        "particulates",
        "Western US wildfires"
      ],
      "contactPoint": {
        "fn": "Gail Tonnesen",
        "hasEmail": "mailto:tonnesen.gail@epa.gov"
      },
      "distribution": [
        {
          "title": "https://views.cira.colostate.edu/iwdw/RequestData/Default.aspx",
          "accessURL": "https://views.cira.colostate.edu/iwdw/RequestData/Default.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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        {
          "title": "12WUS2_barchart_worst_MID_extinction_v2_20200218_addDec31.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529593/12WUS2_barchart_worst_MID_extinction_v2_20200218_addDec31.xlsx",
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        "https://dx.doi.org/10.1080/10962247.2022.2131653"
      ],
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        "name": "U.S. Environmental Protection Agency",
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          }
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    },
    {
      "title": "ToxCast data and SeqAPASS results related to case study chemicals and targets referenced in Leveraging New Approach Methodologies to Complement Aquatic Life Criteria Derivation",
      "description": "Excel file containing ToxCast bioactivity data for carbaryl, celecoxib, chromium triacetate,  HgCl2, nonylphenol, pentachlorophenol, PFOA, PFOS, pioglitazone, sodium dichromate, TCDD.\nThe .zip file contains SeqAPASS results for multiple protein targets. \n\nThis dataset is associated with the following publication:\nSchaupp, C., C. Lalone, B. Blackwell, G. Ankley, and D. Villeneuve. Leveraging ToxCast data and protein sequence conservation to complement aquatic life criteria derivation.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(1): 224-238, (2023).",
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      "identifier": "https://doi.org/10.23719/1524425",
      "keyword": [
        "aquatic life criteria",
        "Adverse Outcome Pathways (AOPs)",
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        "New Approach Methods (Alternatives to Animal Testi",
        "new approach methodologies"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "OW NAMs_SeqAPASS Data for Science Hub.zip",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OW NAMs Case Study_ToxCast Data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524425/OW%20NAMs%20Case%20Study_ToxCast%20Data%20for%20Science%20Hub.xlsx",
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      ],
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      "references": [
        "https://doi.org/10.1002/ieam.4617"
      ],
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Biota-Sediment Accumulation Factors for PFAS, Version 1",
      "description": "The file is a compilation of reported Biota-Sediment Accumulation Factors (BSAFs) for PFAS for aquatic species.  The file has the BSAFs as reported in the source and then, adjusted to units of kg-OC/kg-ww.  File also contains location information (where the measurement was done), an evaluation of its study quality, citation, number of samples used in determining the BSAF, complete taxonomic information, kinetic information when available, and when available, concentrations in the sediment and organism used to determine the BSAF. \n\nThis dataset is associated with the following publication:\nBurkhard, L., and L. Votava. Biota-Sediment Accumulation Factors for Per- and Polyfluoroalkyl Substances.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 277-295, (2022).",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
      ],
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524668",
      "keyword": [
        "bioaccumulation",
        "PFAS",
        "BSAF",
        "bioconcentration"
      ],
      "contactPoint": {
        "fn": "Lawrence Burkhard",
        "hasEmail": "mailto:burkhard.lawrence@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS_BSAF_DATA_(2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524668/PFAS_BSAF_DATA_%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-21",
      "references": [
        "https://doi.org/10.1002/etc.5526"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of Filter Material and Holding Time on Spore Sampling Efficiency in Water",
      "description": "Complete dataset for \"Impact of Filter Material and Holding Time on Spore Sampling Efficiency in Water\". \n\nThis dataset is associated with the following publication:\nRatliff, K., A. Abdel-Hady, M. Monge, A. Mikelonis, and A. Touati. Impact of Filter Material and Holding Time on Spore Sampling Efficiency in Water.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 76(2): ovad005, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527803",
      "keyword": [
        "Bacillus anthracis",
        "eDNA",
        "filter sampling",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "filter sample manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527803/filter%20sample%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-03",
      "references": [
        "https://doi.org/10.1093/lambio/ovad005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFNA mouse body weight",
      "description": "Body weight of mice exposed to PFNA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529407",
      "keyword": [
        "Mouse Model",
        "PFNA",
        "Human Health Risk",
        "in vivo"
      ],
      "contactPoint": {
        "fn": "Christopher Lau",
        "hasEmail": "mailto:lau.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Wolf et al 2010 PFNA_PPARa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529407/Wolf%20et%20al%202010%20PFNA_PPARa.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rogers et al 2014_LTE- Postnatal BW Males Stats Ctrls combined.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529407/Rogers%20et%20al%202014_LTE-%20Postnatal%20BW%20Males%20Stats%20Ctrls%20combined.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rogers et al 2014_LTE- Postnatal BW Females Stats Ctrls combined.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529407/Rogers%20et%20al%202014_LTE-%20Postnatal%20BW%20Females%20Stats%20Ctrls%20combined.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Das et al 2015 Developmental PFNA data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529407/Das%20et%20al%202015%20Developmental%20PFNA%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
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    },
    {
      "title": "Data and code for Olson et al. Wildfires in the western United States are mobilizing PM2.5-associated nutrients and may be contributing to downwind cyanobacteria blooms",
      "description": "Data and code for Olson et al. Wildfires in the western United States are mobilizing PM2.5-associated nutrients and may be contributing to downwind cyanobacteria blooms. \n\nThis dataset is associated with the following publication:\nOlson, N., K. Boaggio, R. Rice, K. Foley, and S. Leduc. Wildfires in the western United States are mobilizing PM2.5-associated nutrients and may be contributing to downwind cyanobacteria blooms.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 25: 1049-1066, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1529004",
      "keyword": [
        "fire",
        "cyanobacteria",
        "water quality",
        "air quality",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Nicole Olson",
        "hasEmail": "mailto:olson.nicole@epa.gov"
      },
      "distribution": [
        {
          "title": "Description of data and files for Olson et al.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529004/Description%20of%20data%20and%20files%20for%20Olson%20et%20al.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Code files for Olson et al.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529004/Code%20files%20for%20Olson%20et%20al.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-24",
      "references": [
        "https://doi.org/10.1039/d3em00042g"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 Disinfection Manuscript Data - Task 4A",
      "description": "Testing data, efficacy evaluations (recovery, log10 reductions, tissue culture assay results, etc). Common disinfectants were evaluated for efficacy against SARS-CoV-2 on common surfaces. \n\nThis dataset is associated with the following publication:\nHardison, R.L., S.W. Nelson, R. Limmer, J. Marx, B.M. Taylor, R.R. James, M.J. Stewart, S. Lee, M. Calfee, S. Ryan, and M. Howard. Efficacy of Chemical Disinfectants Against SARS-CoV-2 on High-Touch Surface Materials.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 134(1): lxac020, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527804",
      "keyword": [
        "SARS-CoV-2",
        "virus",
        "COVID-19",
        "disinfection",
        "pathogens",
        "public health",
        "analytical method"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Summary Data for 4A SARS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527804/Summary%20Data%20for%204A%20SARS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-27",
      "references": [
        "https://doi.org/10.1093/jambio/lxac020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gestational Exposure to Perchlorate in the rat: Thyroid Hormones in Fetal Thyroid Gland, Serum, and Brain",
      "description": "This dataset contains results from rodent study. Thyroid hormones and brain endpoints are reported for pregnant rat dams and progeny on gestational day 20 following drinking water exposure to the dams. Several dose levels were examined. \n\nThis dataset is associated with the following publication:\nGilbert, M., I. Hassan, C. Wood, K. O'Shaughnessy, S. Spring, S. Thomas, and J. Ford. Gestational Exposure to Perchlorate in the rat: Thyroid Hormones in Fetal Thyroid Gland, Serum, and Brain.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  188(1): 117-130, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529598",
      "keyword": [
        "thyroid",
        "in vivo",
        "Children's Environmental Health",
        "developmental neurotoxicity",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "M0516 ScienceHub Files.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529598/M0516%20ScienceHub%20Files.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-14",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Lakes Assessment 2012 Datafiles for Report “National Lakes Assessment 2012: A collaborative survey of lakes in the United States\"",
      "description": "National Lakes Assessment 2012 Datafiles for Report “National Lakes Assessment 2012: A Collaborative Survey of lakes in the United States”: The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2012 report. Sampling was conducted in the summer of 2012 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys \n\nCitation for the NLA 2012 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2012 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-results-and-regional-highlights-national-lakes. DOI: 10.23719/1529584 \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2012 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” \n\nAdditional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529584",
      "keyword": [
        "EPA",
        "states",
        "Tribes",
        "Statistical Surveys",
        "National Lakes Assessment",
        "NLA",
        "NARS",
        "National Aquatic Resource Surveys",
        "lakes",
        "reservoirs",
        "chemical",
        "physical habitat",
        "biological",
        "assessment"
      ],
      "contactPoint": {
        "fn": "Lareina Guenzel",
        "hasEmail": "mailto:guenzel.lareina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/national-results-and-regional-highlights-national-lakes",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/national-results-and-regional-highlights-national-lakes",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2017-02-23",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Lakes Assessment 2017 Datafiles for Report “National Lakes Assessment 2017:  The third collaborative survey of lakes in the United States\"",
      "description": "The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2017 report. Sampling was conducted in the summer of 2017 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys \n\nCitation for the NLA 2017 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2017 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017. DOI: 10.23719/1529585 \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2017 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” \n\nAdditional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529585",
      "keyword": [
        "lakes",
        "reservoirs",
        "National Lakes Assessment",
        "NLA",
        "NARS",
        "National Aquatic Resource Surveys",
        "chemical",
        "physical habitat",
        "biological",
        "assessment",
        "statistical survey",
        "states",
        "Tribes",
        "EPA"
      ],
      "contactPoint": {
        "fn": "Lareina Guenzel",
        "hasEmail": "mailto:guenzel.lareina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Risk-Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries",
      "description": "Data from \"Baldwin AK, Corsi SR, Stefaniak OM, Loken LC, Villeneuve DL, Ankley GT, Blackwell BR, Lenaker PL, Nott MA, Mills MA. Risk-Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries. Environ Toxicol Chem. 2022 Apr;41(4):1016-1041. doi: 10.1002/etc.5286. Epub 2022 Feb 28. PMID: 35170813; PMCID: PMC9306483.\". \n\nThis dataset is associated with the following publication:\nBaldwin, A., S. Corsi, O. Stefaniak, L. Loken, D. Villeneuve, G. Ankley, B. Blackwell, P. Lenaker, M. Nott, and M. Mills. Risk-Based Prioritization of Organic Chemicals and Locations of Ecological Concern in Sediment From Great Lakes Tributaries.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(4): 1016-1041, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529752",
      "keyword": [
        "sediment",
        "prioritization",
        "Great Lakes Restoration Initiative",
        "chemical mixtures"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529752/Supporting%20Information%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supporting Information 2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529752/Supporting%20Information%202.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-12-31",
      "references": [
        "https://doi.org/10.1002/etc.5286",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306483"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting nonlinear relationships between external and internal concentrations with physiologically based pharmacokinetic modeling",
      "description": "Generic physiologically-based pharmacokinetic (PBPK) models were used to explore how saturable absorption or clearance can influence the shape of the internal to external concentration (IEC) relationship. The models were used for hypothetical chemicals to show how differences in kinetic parameters can impact the shape of an IEC relationship; and the models for styrene and caffeine were used to explore how exposure route, frequency, and duration impact the IEC relationships in rat and human exposures. We also analyzed available plasma concentration data for 2,4-dichlorophenoxyacetic acid (data from Saghir et al. 2013; https://doi.org/10.1093/toxsci/kft212) to demonstrate how a PBPK modeling approach can be an alternative to common statistical methods for analyzing dose proportionality. \n\nThese files contain the model code and utilized parameters for each of these case studies as well as a link to the publicly available dataset from Saghir et al. 2013 (https://doi.org/10.1093/toxsci/kft212). Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529607",
      "keyword": [
        "Physiologically based pharmacokinetic (PBPK)",
        "animal study design",
        "internal concentrations",
        "nonlinear pharmacokinetics",
        "saturation of absorption",
        "saturation of clearance"
      ],
      "contactPoint": {
        "fn": "Daniel Hoer",
        "hasEmail": "mailto:hoer.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/toxsci/136/2/10.1093_toxsci_kft212/4/kft212_Supplementary_Data.zip?Expires=1698755797&Signature=xThd-p7pMZ9vu6ZMkJ1zQmnpH8l9kkbA04m0BU0wjWqwvL4ozIB73GqDwSmhPW6i2bFUoN5EKUSUbNV5QDkk0Sonp4Ar-3cexfZfiFd3d~iYBqKAWWpe~Twu2C50wbSL7VJ3B6iwwsAvtzWy0jIDJxxEpbWMeEfUqcB9gHeC9gWnJBnbz6Pntf~C5qL8A449LeDrpJXwtzdPzYY9ZMWImUKCtgyB3RQl10-rOVO4htqtqQHuzpR5Wy9vcVb7d5POEWuIPtqW7NN~DeLCiJ~y8jTS0Hpir8TM~biTh1KzA-sXEiRcsrxLw5Hpy4umJb3sqA2lGYNp1nAqIRA0QUkeTw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA",
          "accessURL": "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/toxsci/136/2/10.1093_toxsci_kft212/4/kft212_Supplementary_Data.zip?Expires=1698755797&Signature=xThd-p7pMZ9vu6ZMkJ1zQmnpH8l9kkbA04m0BU0wjWqwvL4ozIB73GqDwSmhPW6i2bFUoN5EKUSUbNV5QDkk0Sonp4Ar-3cexfZfiFd3d~iYBqKAWWpe~Twu2C50wbSL7VJ3B6iwwsAvtzWy0jIDJxxEpbWMeEfUqcB9gHeC9gWnJBnbz6Pntf~C5qL8A449LeDrpJXwtzdPzYY9ZMWImUKCtgyB3RQl10-rOVO4htqtqQHuzpR5Wy9vcVb7d5POEWuIPtqW7NN~DeLCiJ~y8jTS0Hpir8TM~biTh1KzA-sXEiRcsrxLw5Hpy4umJb3sqA2lGYNp1nAqIRA0QUkeTw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental_materials_18Jan2022.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529607/Supplemental_materials_18Jan2022.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-26",
      "references": [
        "https://dx.doi.org/10.1016/j.taap.2022.115922",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519136"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sahle_SDMP_FRAGMENTATION Epoxy-with MWCNT",
      "description": "Data include changes in aging of weathered materials using optical macroscopy, Raman and FTIR spectroscopy, thermogravimetric analysis and Scanning electron microscopy. The release of fragments and particles were determined using imaging methods. The influence NPs interaction with the polymer matrix on their environmental release has not been well studied. The current paper focuses on some analytical techniques suitable for evaluating the effects of weathering on the detection and characterization of NPs, including Fourier transforms infrared spectroscopy (FT-IR), optical microscopy, contact angle measurements, gravimetric analysis, confocal microscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM) and Raman spectroscopy. The study also includes the toxicity of released particles and organic compounds. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., C. Han, E. Varughese, B. Acrey, and R. Zepp. Fragmentation and release of pristine and functionalized carbon nanotubes from epoxy-nanocomposites during accelerated weathering.   Environmental Science: Nano. Royal Society of Chemistry, Cambridge,  UK, 10(7): 1812-1827, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529756",
      "keyword": [
        "Epoxy nanocomposite",
        "Functionalized CNT",
        "weathering",
        "degradation",
        "Fragment Release",
        "Toxicity Assessment"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1039/D2EN01014C",
          "accessURL": "https://doi.org/10.1039/D2EN01014C",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Raw Base Sample TGA data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529756/Raw%20Base%20Sample%20TGA%20data.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Base Project aged TGA data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529756/Base%20Project%20aged%20TGA%20data.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-08",
      "references": [
        "https://doi.org/10.1039/d2en01014c",
        "https://pasteur.epa.gov/uploads/10.23719/1529756/documents/Composite_Fragmentation_Supplemental%20Information_Final.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biodesalination_Supplemental Information",
      "description": "Data include on the characterization of saline water composition, algal growth, salt sequestration  and changes in water conductivity. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: https://doi.org/10.1016/j.chemosphere.2022.136082. Format: Data collected by Al-Ain University. \n\nThis dataset is associated with the following publication:\nZafar, A.M., M.A. Javed , A.A. Hassan, E. Sahle-Demessie, and S. Harmon. Biodesalination using halophytic cyanobacterium Phormidium keutzingianum from brackish to the hypersaline water.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 307: 136082, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529759",
      "keyword": [
        "salinity",
        "Phormidium kuetzingianum",
        "water treatment",
        "Biosorption Bioaccumulation",
        "Biodesalination"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2022.136082"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "GLIMR_viewing",
      "description": "Code and viewing geometries for computing sun glint, wind speed, sun and satellite position, spatial resolution, signal-to-noise, and hours per day of observation. This dataset is not publicly accessible because: File is in excess of 8GB and is not able to be uploaded. It can be accessed through the following means: Contact the corresponding author Blake Schaeffer at schaeffer.blake@epa.gov. Format: GLIMR's proposed sampling design information. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., P. Whitman, R. Vandermeulen, C. Hu, A. Mannino, J. Salisbury, B. Efremova, R. Conmy, M. Coffer, W. Salls, H. Ferriby, and N. Reynolds. Assessing potential of the Geostationary Littoral Imaging and Monitoring Radiometer (GLIMR) for water quality monitoring across the coastal United States.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 196: 115558, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529553",
      "keyword": [
        "geostationary satellite remote sensing",
        "glint",
        "management",
        "water quality",
        "monitoring",
        "oil spill"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-31",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2023.115558"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RI Mo-DO-N study sampling locations",
      "description": "Dates and locations where sediment samples were collected and notes of any observations at the time. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Mapping Hypoxia Response to Estuarine Nitrogen Loading Using Molybdenum in Sediments.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 46(5): 1363–1374, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529766",
      "keyword": [
        "sediments",
        "Hypoxia",
        "Rhode Island",
        "Narragansett Bay"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "RI embayment sampling locations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529766/RI%20embayment%20sampling%20locations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-03",
      "references": [
        "https://doi.org/10.1007/s12237-023-01215-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Focus group data for factors in homeowners’ willingness to adopt IA systems",
      "description": "Dataset is a Microsoft Word file that contains the transcripts of five focus groups of adopters and prospective adopters of innovative/alternative septic systems. Focus group participants were asked a series of questions to better understand why they would or would not choose to adopt the alternative and innovative septic systems. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact Kate Mulvaney, mulvaney.kate@epa.gov. Format: This is EPA-owned data, but SDMP was generated post clearance due to pre-RAPID/SciHub integration.\r\n\r\nDataset is a Microsoft Word file that contains the transcripts of five focus groups of adopters and prospective adopters of innovative/alternative septic systems. Focus group participants were asked a series of questions to better understand why they would or would not choose to adopt the alternative and innovative septic systems. \n\nThis dataset is associated with the following publication:\nRudman, A., K. Mulvaney, N. Merrill, and K. Canfield. Factors in homeowners’ willingness to adopt nitrogen-reducing innovative/alternative septic systems.   Frontiers in Marine Science. Frontiers, Lausanne,  SWITZERLAND, 10: 1069599, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529608",
      "keyword": [
        "innovative septic systems",
        "innovation adoption"
      ],
      "contactPoint": {
        "fn": "Kate Mulvaney",
        "hasEmail": "mailto:mulvaney.kate@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-25",
      "references": [
        "https://doi.org/10.3389/fmars.2023.1069599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Modelling data for RI embayments",
      "description": "Nitrogen loading, estuarine volume and flushing data  derived from land use and hydrodynamic models and used in study. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Mapping Hypoxia Response to Estuarine Nitrogen Loading Using Molybdenum in Sediments.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 46(5): 1363–1374, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529767",
      "keyword": [
        "nitrogen loading",
        "Estuarine volume",
        "Greenwich Bay",
        "Allen Harbor",
        "Bristol Harbor",
        "Potter Cove",
        "Narragansett Bay",
        "Rhode Island"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "RI embayment model data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529767/RI%20embayment%20model%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-03",
      "references": [
        "https://doi.org/10.1007/s12237-023-01215-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RI Dock & mooring data",
      "description": "Compilation of mooring and dock numbers for RI embayments. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Mapping Hypoxia Response to Estuarine Nitrogen Loading Using Molybdenum in Sediments.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 46(5): 1363–1374, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529769",
      "keyword": [
        "Docks",
        "Slips",
        "Moorings",
        "density"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "RI Dock & mooring data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529769/RI%20Dock%20%26%20mooring%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-03",
      "references": [
        "https://doi.org/10.1007/s12237-023-01215-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "RI Mo-DO-N analyses",
      "description": "Mo and Al analytical data, statistical analysisof relation to hypoxia and nitrogen loading. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Mapping Hypoxia Response to Estuarine Nitrogen Loading Using Molybdenum in Sediments.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 46(5): 1363–1374, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529768",
      "keyword": [
        "Molybdenum",
        "Aluminum",
        "lithogenic",
        "authigenic"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "Ri Mo-DO-N analyses.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529768/Ri%20Mo-DO-N%20analyses.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-03",
      "references": [
        "https://doi.org/10.1007/s12237-023-01215-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Glassmeyer et al Geo Health Figure Data June 2023",
      "description": "This is the data underlying the figures in Glassmeyer et al published in GeoHealth.  Figures 2, 3, and 5 are the counts of papers from a given chemical class.  Figure 4 is concentration data pulled from the Supporting Information Tables, which are summaries of the literature.  This is only a secondary analysis of the literature. No novel concentration data was measured by the paper team.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529175",
      "keyword": [
        "modeling",
        "non-targeted analysis",
        "pharmaceuticals",
        "bioassays",
        "contaminants of emerging concern",
        "Antimicrobial Resistance AMR",
        "Drinking water contaminants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Glassmeyer et al Geo Health Figures .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529175/Glassmeyer%20et%20al%20Geo%20Health%20Figures%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Weathering Effects on Degradation of Low-Density Polyethylene-Nanosilica Composite with Added Pro-oxidant",
      "description": "Nanomaterials are increasingly used in polymer composites to enhance the properties of these materials.  Data are presented from a study of sunlight-induced weathering on potential release of nanosilica from a composite with low-density polyethylene (LDPE). Weathering of the composites was determined by quantifying changes in infrared spectroscopic properties (Fourier transform infrared spectroscopy / FTIR); mechanical properties, atomic force microscopy (AFM), scanning electron microscopy and other procedures. \n\nThis dataset is associated with the following publication:\nZepp, R., B. Acrey, M. Davis, A. Andrady, J. Locklin, R. Arnold, O. Okungbowa, and A. Commodore. Weathering Effects on Degradation of Low-Density Polyethylene-Nanosilica Composite with Added Pro-oxidant.   Journal of Polymers and the Environment. Springer Nature, New York, NY, USA, 31: 4184–4192, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1502554",
      "keyword": [
        "polyethylene",
        "nanosilica",
        "composites",
        "weathering",
        "model",
        "nanomaterials",
        "weathering rates",
        "low-density polyethylene",
        "sunlight"
      ],
      "contactPoint": {
        "fn": "Richard Zepp",
        "hasEmail": "mailto:zepp.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "AFM changes.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/AFM%20changes.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Description of Dataset files LDPE-nanoSi.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/Description%20of%20Dataset%20files%20LDPE-nanoSi.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Irradiance with cutoffs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/Irradiance%20with%20cutoffs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mechanical property changes.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/mechanical%20property%20changes.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "rate contants mechanical change.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/rate%20contants%20mechanical%20change.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Wavelength effects on FTIR carbonyl increase.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/Wavelength%20effects%20on%20FTIR%20carbonyl%20increase.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SCID_B-0zpk_FIGURE LEGENDS with supplemental figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1502554/SCID_B-0zpk_FIGURE%20LEGENDS%20with%20supplemental%20figures.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2018-08-13",
      "references": [
        "https://doi.org/10.1007/s10924-023-02864-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tapwater Exposures, Effects Potential, and Residential Risk Management in Northern Plains Nations Bioassay Summary Data",
      "description": "ABSTRACT: In the United States (US), private-supply tapwater (TW) is rarely monitored. This data gap undermines individual and community risk management decision making, leading to increased probability of unrecognized contaminant exposures in rural and remote locations that rely on private wells. We assessed point-of-use (POU) TW in three Northern Plains Tribal Nations, where ongoing TW arsenic (As) interventions include expansion of small community water systems and POU adsorptive-media treatment for remote homes   participating in the ongoing Strong Heart Water Study. TW samples from 34 private-well and 22 public-supply sites were analyzed for 3 field parameters, 476 organics, 34 inorganics, and 3 in vitro bioactivities. Health benchmark weighted cumulative Hazard Indices (HI) and ratios of organic contaminant in vitro exposure-activity cutoffs were assessed for detected contaminants. Sixty-three organics and 30 inorganics were detected in TW. Arsenic, uranium (U), and lead (Pb) were detected in 54%, 43%, and 20% of samples, respectively. Concentrations equivalent to public supply Maximum Contaminant Level(s) (MCL) were exceeded only in untreated private-well samples (As 47%, U 3%). Precautionary health based HI screening levels were exceeded frequently and attributed primarily to inorganics in private supplies and chlorine  -based disinfection byproducts (DBP) in public supplies. The results support ongoing interventions to reduce TW As exposures and indicate that simultaneous exposures to other co-occurring TW contaminants are common, warranting consideration of expanded source, point-of-entry (POE), or POU treatment(s). This study supports the need for increased monitoring of private-well TW employing a broad, environmentally informative analytical scope to reduce the risks of unrecognized contaminant exposures and to identify possible additional targets for simultaneous TW risk mitigation (e.g., U, Pb, DBP in this study). \n\nThis dataset is associated with the following publication:\nBradley, P.M., E. Medlock Kakaley, K.M. Romanok, K. Smalling, M. Focazio, R. Charboneau, C.M. George, A. Navas-Acien, M. O'Leary, R. Red Cloud, T. Zacher, S.E. Breitmeyer, M. Cardon, C. Cuny, G. Ducheneaux, K. Enright, N. Evans, J.L. Gray, D.O. Harvey, M.L. Hladik, K.A. Loftin, R.B. McClesky, S. Meppelink, J.F. Valder, C.P. Weiss, and L. White. Tapwater Exposures, Effects Potential, and Residential Risk Management in Northern Plains Nations.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 2(10): 1772-1788, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526429",
      "keyword": [
        "tapwater",
        "arsenic",
        "inorganics",
        "organics",
        "human health",
        "Domestic Well",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Strongheart Bioassay Summary Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526429/Strongheart%20Bioassay%20Summary%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-12",
      "references": [
        "https://doi.org/10.1021/acsestwater.2c00293",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578051"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sex-specific respiratory and systemic stress effects of acute acrolein and trichloroethylene inhalation",
      "description": "Employing acrolein, a potent airway irritant, and TCE, with low irritancy, authors hypothesized that airway injury and inflammation would be involved in eliciting neuroendocrine-mediated systemic alterations. Male and female Wistar-Kyoto rats were exposed nose-only to air, acrolein or trichloroethylene (TCE) in incremental concentrations over 30 min, followed by 3.5-hr exposure to the highest concentration (acrolein - 0.0, 0.1, 0.316, 1, 3.16 ppm; TCE - 0.0, 3.16, 10, 31.6, 100 ppm) while performing head-out plethysmography (HOP), and animals were necropsied immediately post-exposure to assess nasal and lung injury/inflammation, systemic neurohormones, circulating stress hormones and also metabolic hormones. \n\nThis dataset is associated with the following publication:\nAlewel, D., T. Jackson, S. Vance, M. Schladweiler, P. Evansky, A. Henriquez, R. Grindstaff, S. Gavett, and U. Kodavanti. Sex-specific respiratory and systemic endocrine effects of acute acrolein and trichloroethylene inhalation.   TOXICOLOGY LETTERS. Elsevier Science Ltd, New York, NY, USA, 382: 22-32, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528189",
      "keyword": [
        "air pollution",
        "ambient air",
        "sex difference",
        "trichloroethylene",
        "Nitrogen and Co-pollutants",
        "acrolein"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Alewel et al_Toxicology_Sciencehub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528189/Alewel%20et%20al_Toxicology_Sciencehub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-07",
      "references": [
        "https://doi.org/10.1016/j.toxlet.2023.05.005"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Head on Liner raw data",
      "description": "Data used for the manuscript collected form landfill reports. \n\nThis dataset is associated with the following publication:\nJain, P., K. Winslow, T. Townsend, M. Krause, and T. Tolaymat. Assessment of Municipal Solid-Waste Landfill Liner Performance.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(9): 04023055, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527722",
      "keyword": [
        "Landfill",
        "Solid Waste",
        "liner system",
        "leachate"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Leakage Rate data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527722/Leakage%20Rate%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-07",
      "references": [
        "https://doi.org/10.1061/joeedu.eeeng-7218"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model Results",
      "description": "The data is an output from SLOPE/W that looks at slope failure as a result of landfill pressures. \n\nThis dataset is associated with the following publication:\nJain, P., A. Kanneganti, T. Townsend, M. Krause, and T. Tolaymat. Isothermal Dual-Phase Flow Modeling to Assess the Impact of Gas Collection on Geotechnical and Hydraulic Performance of Landfills.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(8): 04023061, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526326",
      "keyword": [
        "materials management",
        "landfills",
        "food waste",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Raw data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526326/Raw%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-22",
      "references": [
        "https://doi.org/10.1061/jggefk.gteng-11260"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-Dataset for property values and water quality",
      "description": "We conduct a comprehensive literature review and meta-analysis of studies that examine the effects of water quality on waterfront and non-waterfront housing values. We identify 36 studies that yield 665 observations. The rows of the dataset include each observation from the hedonic studies and the columns include the variables we created from each study (e.g., year of publication, type of publication, water quality measure, location, waterbody type, elasticities).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529758",
      "keyword": [
        "lake",
        "meta-analysis",
        "property value",
        "benefit transfer",
        "hedonic",
        "water clarity"
      ],
      "contactPoint": {
        "fn": "Matthew Heberling",
        "hasEmail": "mailto:heberling.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "Meta-dataset_for_property_values_and_water_quality.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529758/Meta-dataset_for_property_values_and_water_quality.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_Dictionary_for_Meta-dataset_for_property_values_and_water_quality.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529758/Metadata_Dictionary_for_Meta-dataset_for_property_values_and_water_quality.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing variations in ambient PM2.5 concentrations at the U.S. Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system",
      "description": "Excel data files containing model and ambient PM2.5 concentrations at the U.S. Embassy in Dhaka. \n\nThis dataset is associated with the following publication:\nSarwar, G., C. Hogrefe, B. Henderson, K. Foley, R. Mathur, B. Murphy, and S. Ahmed. Characterizing variations in ambient PM2.5 concentrations at the U.S. Embassy in Dhaka, Bangladesh using observations and the CMAQ modeling system.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 296: N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528454",
      "keyword": [
        "Transboundary Pollution",
        "organic aerosol",
        "pm2.5",
        "Dhaka"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_5_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528454/Figure_5_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_4_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528454/Figure_4_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_3_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528454/Figure_3_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_2_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528454/Figure_2_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_1_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528454/Figure_1_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-23",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2023.119587"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Framework for Prioritizing Chemicals in Retrospective Ecological Assessments: Application to a Great Lakes Area of Concern",
      "description": "Anthropogenic activities including industrialization, urbanization, and agriculture have resulted in frequent detection of contaminants of emerging concern (CECs) across Great Lakes tributaries. Thus, there is a need to identify CECs of high and low ecotoxicological concern to help focus risk assessment and regulatory efforts. Here we present a weight-of-evidence framework developed to prioritize organic contaminants detected within the Milwaukee Estuary Area of Concern (AOC) (Milwaukee, WI). Chemical prioritization was carried out using experimental data (in vivo, in vitro, and analytical data) generated in 2017 -2018 Milwaukee AOC caged-fish studies, and chemical-specific data collated from US EPA databases (CompTox Chemicals Dashboard, ECOTOXicology Knowledgebase, ToxCast database) and/or estimated using quantitative structure-activity relationships. Overall prioritization was based on multiple lines of evidence: Detection Characteristics (spatial frequency, temporal frequency, environmental distribution), Environmental Fate (persistence, bioaccumulation, biomagnification), Ecotoxicological Potential (exceedence of water quality, in vivo, and in vitro toxicity benchmarks), and Effect Covariance (covariance with effects in caged fish studies). Results indicated within the Milwaukee Estuary AOC, 19/83 CECs were high priority, 13/83 were low priority, and 19/83 were data limited, requiring further investigation for prioritization efforts. Overall, this study presents an effect-based weight-of-evidence strategy that can be employed for CEC prioritization, and highlights several chemicals of ecotoxicological interest within the Milwaukee Estuary AOC. \n\nThis dataset is associated with the following publication:\nMaloney, E., D. Villeneuve, B. Blackwell, K. Vitense, S. Corsi, M. Pronschinske, K. Jensen, and G. Ankley. A framework for prioritizing contaminants in retrospective ecological assessments: Application in the Milwaukee Estuary (Milwaukee, WI).   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 19(5): 1276-96, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523386",
      "keyword": [
        "weight of evidence",
        "ecological risk assessment",
        "effects-based monitoring",
        "contaminants of emerging concern (CEC)",
        "freshwater ecotoxicology"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Milwaukee_Prioritization_Science_Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523386/Milwaukee_Prioritization_Science_Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-27",
      "references": [
        "https://doi.org/10.1002/ieam.4725"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rapid assessment of Dreissena population in Lake Erie using underwater videography",
      "description": "The data for \"Rapid assessment of Dreissena population in Lake Erie using underwater videography\" came from \"Density data for Lake Ontario benthic invertebrate assemblages from 1964 to 2018\". \n\nThis dataset is associated with the following publication:\nKaratayev, A., L.E. Burlakova, K. Mehler, E. Hinchey, M. Wick, M. Bakowska, and N. Mrozinska. Rapid assessment of Dreissena population in Lake Erie using underwater videography.   HYDROBIOLOGIA. Springer, New York, NY, USA, 848: 2421-2436, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526405",
      "keyword": [
        "Great Lakes",
        "Zebra mussels",
        "Dreissena",
        "underwater video",
        "Quagga mussels",
        "Lake Erie"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "Data on 2019 Lake Erie Dreissena and BIS data for Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526405/Data%20on%202019%20Lake%20Erie%20Dreissena%20and%20BIS%20data%20for%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-01",
      "references": [
        "https://doi.org/10.1007/s10750-020-04481-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MSX Nicotine modeling",
      "description": "Model input data in InputData.xls.\nTable and figure data in stored_results.xls. \n\nThis dataset is associated with the following publication:\nBurkhardt, J., B. Burkhart, and F. Shang. Modeling Nicotine-Induced Chlorine Loss in Drinking Water Using Updated EPANET-MSX.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 149(12): 04023086, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528598",
      "keyword": [
        "water quality",
        "Drinking water distribution system",
        "EPANET",
        "Dispersion"
      ],
      "contactPoint": {
        "fn": "Feng Shang",
        "hasEmail": "mailto:shang.feng@epa.gov"
      },
      "distribution": [
        {
          "title": "stored_results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528598/stored_results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "InputData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528598/InputData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-27",
      "references": [
        "https://doi.org/10.1061/joeedu.eeeng-7433"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of Co-disposal with Ash",
      "description": "Data used in the manuscript to creat the tables and figures. \n\nThis dataset is associated with the following publication:\nLiu, Y., P. Mendoza-Perilla, K. Clavier, T. Tolaymat, J. Bowden, H. Solo-Gabriele, and T. Townsend. Municipal solid waste incineration (MSWI) ash co-disposal: Influence on per- and polyfluoroalkyl substances (PFAS) concentration in landfill leachate.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 144(1): 49-56, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529747",
      "keyword": [
        "PFAS",
        "Bottom Ash",
        "Coal Refuse Disposal Pile"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Table and Figures data from Liu et al 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529747/Table%20and%20Figures%20data%20from%20Liu%20et%20al%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-10",
      "references": [
        "https://doi.org/10.1016/j.wasman.2022.03.009",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536760"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conterminous US modeled stream channel widths and depths",
      "description": "The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed with StreamCat data (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0) as predictor variables in random forest models. Models were then applied to perennial NHDPlus (version 2.1) stream segments to produce 1.1 million estimated values across the conterminous US. The data, upon publication of the companion journal article, will be also distributed as part of the StreamCat dataset. \n\nThis dataset is associated with the following publication:\nDoyle, J., R. Hill, S. Leibowitz, and J. Ebersole. Random forest models to estimate bankfull and low flow channel widths and depths across the conterminous United States.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(5): 1099-1114, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522926",
      "keyword": [
        "StreamCat",
        "National Rivers and Streams Assessment",
        "wetted width",
        "thalweg depth",
        "bankfull width",
        "bankfull depth",
        "random forest modeling",
        "National Hydrography Dataset Plus (NHDPlus)"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset-0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-16",
      "references": [
        "https://doi.org/10.1111/1752-1688.13116"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1522926/documents/Doyle-ChannelDimensions-ScienceHubDataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data to support Reactive organic carbon air emissions from mobile sources in the United States",
      "description": "This data were used to generate the figures in the peer-reviewed publication \"Reactive organic carbon air emissions from mobile sources in the United States\" published by Atmospheric Chemistry and Physics in 2023. \n\nThe data were produced by analyses of the Motor Vehicle Emissions Simulator (MOVES) and the Community Multiscale Air Quality (CMAQ) model, both developed by EPA (OTAQ and ORD respectively). The analysis focuses on the impact of adjustments to national-level mobile source emissions when considering artifacts from filter measurements and inclusion of intermediate volatility organic compounds which are potent precursors of particulate matter.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529789",
      "keyword": [
        "MOVES",
        "Nitrogen and Co-pollutants",
        "POA",
        "reactive organic carbon",
        "NMOG",
        "VOC",
        "PM",
        "EQUATES",
        "CMAQ",
        "SOA",
        "mobile emissions",
        "PM Filter Artifacts"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "mobile_soa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_soa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_poa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_poa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_oa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_oa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_lon.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_lon.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_lat.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_lat.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_fsoa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_fsoa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_fpoa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_fpoa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "mobile_foa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/mobile_foa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Murphy_MobileROC_ScienceHubData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/Murphy_MobileROC_ScienceHubData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529789/documents/data_dict.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Data Description for ORD-055921",
      "description": "This dataset contains data on epigenetic aging variables, medium and long-term air temperature exposure, and relevant confounders as described in the associated manuscript. This dataset is not publicly accessible because: This data is from a project in which the EPA participated in only an advisory role. The EPA does not own or possess this data. It can be accessed through the following means: The data can be accessed by making a request to Dr. Wenli Ni, the corresponding author for the manuscript. Format: The data is in text files stored in common formats (.csv, .txt). Observations are represented as rows with variables (including the outcome, exposure, and all confounders) represented as columns. \n\nThis dataset is associated with the following publication:\nNi, W., N. Nikolaou, C. Ward-Caviness, S.  Breitner, K. Wolf, S. Zhang, R. Wilson, M. Waldenberger, A. Peters, and A. Schneider. Associations between medium- and long-term exposure to air temperature and epigenetic age acceleration.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 178: 108109, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529792",
      "keyword": [
        "epigenetic aging",
        "air temperature",
        "heat",
        "Aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2023-07-20",
      "references": [
        "https://doi.org/10.1016/j.envint.2023.108109"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Massachusetts Eelgrass Blue Carbon Data",
      "description": "Sediment cores taken from 5 eelgrass meadows in Massachusetts.  Cores analyzed for carbon content. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529798",
      "keyword": [
        "Blue Carbon",
        "eelgrass"
      ],
      "contactPoint": {
        "fn": "Philip Colarusso",
        "hasEmail": "mailto:colarusso.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "Julie Simpson's sheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529798/Julie%20Simpson%27s%20sheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2015-12-07",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Toxicity by descent: a comparative approach for chemical hazard assessment",
      "description": "Data for \"John K. Colbourne, Joseph R. Shaw, Elena Sostare, Claudia Rivetti, Romain Derelle, Rosemary Barnett, Bruno Campos, Carlie LaLone, Mark R. Viant, Geoff Hodges, Toxicity by descent: A comparative approach for chemical hazard assessment, Environmental Advances, Volume 9, 2022, 100287, ISSN 2666-7657, https://doi.org/10.1016/j.envadv.2022.100287\". \n\nThis dataset is associated with the following publication:\nColbourne, J., J. Shaw, E. Sostare, C. Rivetti, R. Derelle, R. Barnett, B. Campos, C. Lalone, M. Viant, and G. Hodges. Toxicity by descent: a comparative approach for chemical hazard assessment.   Environmental Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 9: 100287, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529750",
      "keyword": [
        "non-animal approaches",
        "conservation",
        "homology",
        "disease"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529750/Supplemental%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Materials.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529750/Supplemental%20Materials.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-05",
      "references": [
        "https://doi.org/10.1016/j.envadv.2022.100287"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation",
      "description": "Data file for \"Vliet SMF, Hazemi M, Blatz D, Jensen M, Mayasich S, Transue TR, Simmons C, Wilkinson A, LaLone CA. Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation. J Vis Exp. 2023 Feb 10;(192). doi: 10.3791/63970. PMID: 36847398.\". \n\nThis dataset is associated with the following publication:\nVliet, S., M. Hazemi, D. Blatz, M. Jensen, S. Mayasich, T. Transue, C. Simmons, A. Wilkinson, and C. Lalone. Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation.   Journal of Visualized Experiments. JoVE, Somerville, MA, USA,  192, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529755",
      "keyword": [
        "transthyretin",
        "μ opioid receptor",
        "SeqAPASS",
        "Cross species extrapolation",
        "bioinformatics"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529755/Supplemental%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Dictionary.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529755/Data%20Dictionary.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-10",
      "references": [
        "https://doi.org/10.3791/63970"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers",
      "description": "Dataset for \"Loken LC, Corsi SR, Alvarez DA, Ankley GT, Baldwin AK, Blackwell BR, De Cicco LA, Nott MA, Oliver SK, Villeneuve DL. Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers. Environ Toxicol Chem. 2023 Feb;42(2):340-366. doi: 10.1002/etc.5491. Epub 2022 Dec 23. PMID: 36165576; PMCID: PMC10107608.\". \n\nThis dataset is associated with the following publication:\nLoken, L., S. Corsi, D. Alvarez, G. Ankley, A. Baldwin, B. Blackwell, L. DeCicco, M. Nott, S. Oliver, and D. Villeneuve. Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 340-366, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529772",
      "keyword": [
        "rivers",
        "Passive Samplers",
        "pesticides",
        "contaminants",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting File 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529772/Supporting%20File%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supporting File 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529772/Supporting%20File%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-22",
      "references": [
        "https://doi.org/10.1002/etc.5491",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human well-being and natural capital indicators for Great Lakes waterfront revitalization",
      "description": "Dataset for \"Ted R. Angradi, Jonathon J. Launspach, Molly J. Wick, Human well-being and natural capital indicators for Great Lakes waterfront revitalization, Journal of Great Lakes Research, Volume 48, Issue 4, 2022, Pages 1104-1120, ISSN 0380-1330, https://doi.org/10.1016/j.jglr.2022.04.016.\". \n\nThis dataset is associated with the following publication:\nAngradi, T., J. Launspach, and M. Wick. Human well-being and natural capital indicators for Great Lakes waterfront revitalization.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(4): 1104-1120, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529773",
      "keyword": [
        "Waterfront revitalization",
        "Equitability",
        "well-being",
        "Laurentian Great Lakes",
        "Natural capital",
        "indicators"
      ],
      "contactPoint": {
        "fn": "Molly Wick",
        "hasEmail": "mailto:wick.molly@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary_Data_AngradiEtAl_2022.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529773/Supplementary_Data_AngradiEtAl_2022.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2022-04-25",
      "references": [
        "https://doi.org/10.1016/j.jglr.2022.04.016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques",
      "description": "Dataset for \"Pronschinske, M.A., Corsi, S.R., DeCicco, L.A., Furlong, E.T., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Lenaker, P.L. and Nott, M.A. (2022), Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques. Environ Toxicol Chem, 41: 2221-2239. https://doi.org/10.1002/etc.5403\". \n\nThis dataset is associated with the following publication:\nPronschinske, M., S. Corsi, L. DeCicco, E. Furlong, G. Ankley, B. Blackwell, D. Villeneuve, P. Lenaker, and M. Nott. Prioritizing Pharmaceutical Contaminants in Great Lakes Tributaries Using Risk-Based Screening Techniques..   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(9): 2221-2239, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529774",
      "keyword": [
        "surface water",
        "Great Lakes Restoration Initiative",
        "aquatic toxicity",
        "pharmaceuticals",
        "screening and prioritization"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529774/Supporting%20Information%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supporting Information 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529774/Supporting%20Information%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-06",
      "references": [
        "https://doi.org/10.1002/etc.5403",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9542422"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes",
      "description": "Data files for \"Oliver, S.K., Corsi, S.R., Baldwin, A.K., Nott, M.A., Ankley, G.T., Blackwell, B.R., Villeneuve, D.L., Hladik, M.L., Kolpin, D.W., Loken, L., DeCicco, L.A., Meyer, M.T. and Loftin, K.A. (2023), Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes. Environ Toxicol Chem, 42: 367-384. https://doi.org/10.1002/etc.5522\". \n\nThis dataset is associated with the following publication:\nOliver, S., S. Corsi, A. Baldwin, M. Nott, G. Ankley, B. Blackwell, D. Villeneuve, M. Hladik, D. Kolpin, L. Loken, L. DeCicco, M. Meyer, and K. Loftin. Pesticide Prioritization by Potential Biological Effects in Tributaries of the Laurentian Great Lakes.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 367-384, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529775",
      "keyword": [
        "high-throughput screening",
        "pesticides",
        "Laurentian Great Lakes",
        "biological effects",
        "neonicotinoids"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529775/Supporting%20Information%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supporting Information 1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529775/Supporting%20Information%201.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-07",
      "references": [
        "https://doi.org/10.1002/etc.5522",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107260"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume",
      "description": "Glider data for \"Paul McKinney, Tom Hollenhorst, and Joel Hoffman \"Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume,\" Aquatic Ecosystem Health & Management 25(1), 102-113, (13 June 2022). https://doi.org/10.14321/aehm.025.01.102\". \n\nThis dataset is associated with the following publication:\nMcKinney, P., T. Hollenhorst, and J. Hoffman. Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume.   Aquatic Ecosystem Health and Management. Taylor & Francis, Inc., Philadelphia, PA, USA, 25(1): 102-113, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529748",
      "keyword": [
        "coastal",
        "conductance",
        "Great Lakes",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Thomas Hollenhorst",
        "hasEmail": "mailto:hollenhorst.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gliders.ioos.us/",
          "accessURL": "https://gliders.ioos.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-13",
      "references": [
        "https://doi.org/10.14321/aehm.025.01.102"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stable isotope data for Seasonal variation in triple oxygen isotope ratios of precipitation and rivers",
      "description": "Stable water isotopes of precipitation across the USA and from summer and winter.  Additionally isotopic data was included for river water within the Willamette River in Oregon.  The d18O and d2H were previously published data (references given in the table), while the d17O values were measured on those archived samples, and published in this paper.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529786",
      "keyword": [
        "precipitation",
        "water stable isotope",
        "Willamette River",
        "seasonal variation"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1029/2022PA004458",
          "accessURL": "https://doi.org/10.1029/2022PA004458",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-13",
      "references": [
        "https://doi.org/10.1029/2022PA004458"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reproducibility of organ-level effects in repeat dose animal studies",
      "description": "This work estimates benchmarks for new approach method (NAM) performance in predicting organ-level effects in repeat dose studies of adult animals based on variability in replicate animal studies. Data for Paul Friedman et al., ‘Reproducibility of organ-level effects in repeat dose animal studies’, Computational Toxicology, Vol 28, 100287, Nov 2023, https://doi.org/10.1016/j.comtox.2023.100287. \n\nThis dataset is associated with the following publication:\nFriedman, K., M. Foster, L.L. Pham, M. Feshuk, S. Watford, J. Wambaugh, R. Judson, R. Setzer, and R. Thomas. Reproducibility of organ-level effects in repeat dose animal studies.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 28: 100287, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529446",
      "keyword": [
        "variability",
        "Organ",
        "Repeat dose",
        "ToxRefDB"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-Reproducibility-Organ-Effects",
          "accessURL": "https://github.com/USEPA/CompTox-Reproducibility-Organ-Effects",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://clowder.edap-cluster.com/datasets/646d247fe4b08a6b394d2853",
          "accessURL": "https://clowder.edap-cluster.com/datasets/646d247fe4b08a6b394d2853",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-24",
      "references": [
        "https://doi.org/10.1016/j.comtox.2023.100287"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Novel Method for the Quantitative Assessment of Fitted Containment Efficiency of Face Coverings",
      "description": "Excel files containing data shown on graphs and tables that appear in the research article evaluating the efficacy of disposable face coverings in containing aerosols from the wearer. This dataset is not publicly accessible because: EPA does not own these data. It can be accessed through the following means: Contact corresponding author of the published article, William_Bennett@med.unc.edu. Format: Excel files. \n\nThis dataset is associated with the following publication:\nBennett, W., S. Prince, K. Zeman, H. Chen, and J. Samet. A Novel Method for the Quantitative Assessment of Fitted Containment Efficiency of Face Coverings.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY. Slack Incorporated,    13(1-4): 1481-1484, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528087",
      "keyword": [
        "COVID-19",
        "Respiratory protection",
        "respiratory masks",
        "Infection control"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [],
      "modified": "2022-08-25",
      "references": [
        "https://doi.org/10.1017/ice.2022.316",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507493"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scientific journal article",
      "description": "Files associated with the manuscript: Proteome profiling of rat brain cortical changes during early postnatal brain development. \n\nThis dataset is associated with the following publication:\nWinnik, W., W. Padgett, E. Pitzer, and D. Herr. Proteome profiling of rat brain cortical changes during early postnatal brain development.   Journal of Proteome Research. American Chemical Society, Washington, DC, USA, 22(7): 2460-2476, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528533",
      "keyword": [
        "Brain Cortex",
        "Children's Environmental Health",
        "Protein Analysis",
        "development"
      ],
      "contactPoint": {
        "fn": "Witold Winnik",
        "hasEmail": "mailto:winnik.witold@epa.gov"
      },
      "distribution": [
        {
          "title": "The original instrument data files used in this subproduct.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/The%20original%20instrument%20data%20files%20used%20in%20this%20subproduct.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Technical Review Form EPA-363 W. Winnik manuscript reviewer 2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Technical%20Review%20Form%20EPA-363%20W.%20Winnik%20manuscript%20reviewer%202.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Technical Review Form EPA-363 W. Winnik manuscript reviewer 1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Technical%20Review%20Form%20EPA-363%20W.%20Winnik%20manuscript%20reviewer%201.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Figures for the manuscript Witold Winnik 2_6_23.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Supplementary%20Figures%20for%20the%20manuscript%20Witold%20Winnik%202_6_23.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Subproduct_submitted_files_information W Winnik.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Subproduct_submitted_files_information%20W%20Winnik.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S-Table-Processing.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/S-Table-Processing.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S-Table-Consensus.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/S-Table-Consensus.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S-Data-Table-2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/S-Data-Table-2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S-Data-Table-1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/S-Data-Table-1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Rat Rostral Cortex sample processing worksheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Rat%20Rostral%20Cortex%20sample%20processing%20worksheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Proteome profiling of rat brain cortical changes during early PND_Witold Winnik J Proteom Res 2_9_23.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528533/Proteome%20profiling%20of%20rat%20brain%20cortical%20changes%20during%20early%20PND_Witold%20Winnik%20J%20Proteom%20Res%202_9_23.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-10",
      "references": [
        "https://doi.org/10.1021/acs.jproteome.3c00172"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ohio landfill leachate volumes and surface areas 1988-2020",
      "description": "Monthly landfill leachate volumes and annual 2-dimensional planar surface areas. \n\nThis dataset is associated with the following publication:\nKrause, M., N. Detwiler, W. Eades, D. Marro, A. Schwarber, and T. Tolaymat. Dataset of leachate volumes and surface areas for municipal solid waste (MSW) landfills in Ohio, USA from 1988-2020.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 47: 108961, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528156",
      "keyword": [
        "Municipal Solid Waste Landfill",
        "leachate",
        "Active Landfill"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.mendeley.com/datasets/rmn843c3bk/draft?a=2d6b81fe-d6f5-4cb2-93e0-4d60267b59d8",
          "accessURL": "https://data.mendeley.com/datasets/rmn843c3bk/draft?a=2d6b81fe-d6f5-4cb2-93e0-4d60267b59d8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-03",
      "references": [
        "https://doi.org/10.1016/j.dib.2023.108961",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969286"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Surface Washing Agent toxicity",
      "description": "This dataset consists of aquatic toxicity data for oil spill surface washing agents. \n\nThis dataset is associated with the following publication:\nAlloy, M., D. Sundaravadivelu, R. Conmy, P. Meyer, and M. Barron. Determination of Aquatic Hazard Concentrations for the Oil Spill Response Product Class of Surface Washing Agents using Species Sensitivity Distributions.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 193: 115063, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528294",
      "keyword": [
        "oil",
        "toxicity",
        "hazard",
        "Surface Washing Agent"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_Alloy et al. SWA toxicity.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528294/Dataset_Alloy%20et%20al.%20SWA%20toxicity.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-21",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2023.115063"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata",
      "description": "CMAQ predicted results containing ozone, oxides of nitrogen and other chemical species. This dataset is not publicly accessible because: EPA does not have the dataset as it was created by the Universidad Politécnica de Madrid, Spain. It can be accessed through the following means: The Universidad Politécnica de Madrid created the dataset. Please contact Rafael Borge for the dataset. Email - rafael.borge@upm.es. Format: Dataset includes CMAQ output files in netcdf format. \n\nThis dataset is associated with the following publication:\nPaz, D.d.l., R. Borge, J.M.d. Andr&eacute;s, L. Tovar, G. Sarwar, and S. Napelenok. Summertime tropospheric ozone source apportionment study in Madrid (Spain).   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY,  N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529595",
      "keyword": [
        "ISAM",
        "source apportionment",
        "Ozone",
        "CMAQ",
        "air quality modeling"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-07",
      "references": [
        "https://doi.org/10.5194/egusphere-2023-2056"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The ToxCast pipeline: updates to curve-fitting approaches and database structure",
      "description": "Supplemental files to accompany the manuscript: Feshuk et al., \"The ToxCast Pipeline: Updates to Curve-fitting Approaches and Database Structure\", DOI https://doi.org/10.3389/ftox.2023.1275980, PMC10552852. \n\nThis dataset is associated with the following publication:\nFeshuk, M., L. Kolaczkowski, K. Dunham, S. Davidson-Fritz, K. Carstens, J. Brown, R. Judson, and K. Friedman. The ToxCast Pipeline: Updates to Curve-fitting Approaches and Database Structure.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1275980, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529812",
      "keyword": [
        "InVitroDB",
        "bioactivity",
        "ToxCast",
        "CompTox blueprint"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/6451716ce4b08a6b3942fc66",
          "accessURL": "https://clowder.edap-cluster.com/datasets/6451716ce4b08a6b3942fc66",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-09-13",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1275980",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552852"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Advancing the estimation of future climate impacts within the United States",
      "description": "Data and code for Advancing the estimation of future climate impacts within the United States. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529813",
      "keyword": [
        "climate change",
        "impacts",
        "net present value"
      ],
      "contactPoint": {
        "fn": "Corinne Hartin",
        "hasEmail": "mailto:hartin.corinne@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/FrEDI_NPD",
          "accessURL": "https://github.com/USEPA/FrEDI_NPD",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-04",
      "references": [
        "https://dx.doi.org/10.5194/esd-14-1015-2023"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sentinel-1 and Sentinel-2 based frequency of open and vegetated water across the United States (2017-2021)",
      "description": "High-frequency observations of surface water at fine spatial scales are critical to effectively manage aquatic habitat, flood risk and water quality. We developed inundation algorithms for Sentinel-1 and Sentinel-2 across 12 sites within the conterminous United States (CONUS) covering >536,000 km2 and representing diverse hydrologic and vegetation landscapes. These algorithms were trained on data from 13,412 points spread throughout the 12 sites. Each scene in the 5-year (2017-2021) time series was classified into open water, vegetated water, and non-water at 20 m resolution using variables not only from Sentinel-1 and Sentinel-2, but also variables derived from topographic and weather datasets. The Sentinel-1 model was developed distinct from the Sentinel-2 model to enable the two time series to be integrated into a single high-frequency time series, while open water and vegetated water were both mapped to retain mixed pixel inundation. Results were validated against 7,200 visually inspected points derived from WorldView and PlanetScope imagery. Classification accuracy for open water was high across the 5-year period, with an omission and commission error of only 3.1% and 0.9% for Sentinel-1 and 3.1% and 0.5% for Sentinel-2, respectively. Vegetated water accuracy was lower, as expected given that the class represents mixed pixels. Sentinel-2 showed higher accuracy (10.7% omission and 7.9% commission error) relative to Sentinel-1 (28.4% omission and 16.0% commission error). Our results demonstrated that Sentinel-1 and Sentinel-2 time series can be integrated to improve the temporal resolution when mapping open and vegetated waters, although sensor-specific differences, such as sensitivity to vegetation structure versus pixel color, complicate the data integration for subpixel, vegetated water compared with open water. \n\nThis dataset is associated with the following publication:\nVanderhoof, M., L. Alexander, J. Christensen, K. Solvik, P. Nieuwlandt, and M. Sagehorn. High-frequency time series comparison of Sentinel-1 and Sentinel-2 satellites for mapping open and vegetated water across the United States (2017–2021).   REMOTE SENSING OF ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 288: 113498, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529092",
      "keyword": [
        "climate",
        "inundation frequency",
        "Google Earth Engine"
      ],
      "contactPoint": {
        "fn": "Laurie Alexander",
        "hasEmail": "mailto:alexander.laurie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/62c5c6ecd34eeb1417bafe09",
          "accessURL": "https://www.sciencebase.gov/catalog/item/62c5c6ecd34eeb1417bafe09",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-05-15",
      "references": [
        "https://doi.org/10.1016/j.rse.2023.113498",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10303792"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Martin et al Sleep x Eucalyptus Meta Data_Science Hub",
      "description": "Meta data for all figures and tables that appear in manuscript including Supplementary section. \n\nThis dataset is associated with the following publication:\nMartin, W.K., M. Schladweiler, W. Oshiro, J. Smoot, A. Fisher, W. Williams, M. Valdez, C. Miller, T. Jackson, D. Freeborn, Y.H. Kim, D. Davies, M. Gilmour, U. Kodavanti, P. Kodavanti, M. Hazari, and A. Farraj. Wildfire-related smoke inhalation worsens cardiovascular risk in sleep disrupted rats.   Frontiers in Environmental Health. Frontiers, Lausanne,  SWITZERLAND, 2: 1166918, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528119",
      "keyword": [
        "air pollution",
        "sleep disruption",
        "wildland fires",
        "cardiovascular",
        "eucalyptus smoke",
        "blood pressure",
        "modifiable risk factor"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Martin et al Sleep x Eucalyptus Meta Data_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528119/Martin%20et%20al%20Sleep%20x%20Eucalyptus%20Meta%20Data_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-24",
      "references": [
        "https://doi.org/10.3389/fenvh.2023.1166918"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters",
      "description": "Hydrology Graphs\nThis repository contains the code for the manuscript \"A Graph Formulation for Tracing Hydrological Pollutant Transport in Surface Waters.\" There are three main folders containing code and data, and these are outlined below. We call the framework for building a graph of these hydrological systems \"Hydrology Graphs\".\nSeveral of the datafiles for building this framework are large and cannot be stored on Github. To conserve space, the notebook get_and_unpack_data.ipynb or the script get_and_unpack_data.py can be used to download the data from the Watershed Boundary Dataset (WBD), the National Hydrography Dataset (NHDPlusV2), and the agricultural land dataset for the state of Wisconsin. The files WILakes.df and WIRivers.df metnioend in section 1 below are contained within the WI_lakes_rivers.zip folder, and the files 24k Hydro Waterbodies dataset are contained in a zip file under the directory DNR_data/Hydro_Waterbodies. These files can also be unpacked by running the corresponding cells in the notebook get_and_unpack_data.ipynb or get_and_unpack_data.py.\n1. graph_construction\nThis folder contains the data and code for building a graph of the watershed-river-waterbody hydrological system. It uses data from the Watershed Boundary Dataset (link here) and the National Hydrography Dataset (link here) as a basis and builds a list of directed edges. We use NetworkX to build and visualize the list as a graph.\n\n2. case_studies\nThis folder contains three .ipynb files for three separate case studies. These three case studies focus on how \"Hydrology Graphs\" can be used to analyze pollutant impacts in surface waters. Details of these case studies can be found in the manuscript above.\n\n3. DNR_data\nThis folder contains data from the Wisconsin Department of Natural Resources (DNR) on water quality in several Wisconsin lakes. The data was obtained from here using the file Web_scraping_script.py. The original downloaded reports are found in the folder original_lake_reports. These reports were then cleaned and reformatted using the script DNR_data_filter.ipynb. The resulting, cleaned reports are found in the Lakes folder. Each subfolder of the Lakes folder contains data for a single lake. The two .csvs lake_index_WBIC.csv contain an index for what lake each numbered subfolder corresponds. In addition, we added the corresponding COMID in lake_index_WBIC_COMID.csv by matching the NHDPlusV2 data to the Wisconsin DNR's 24k Hydro Waterbodies dataset which we downloaded from here. The DNR's reported data only matches lakes to a waterbody identification code (WBIC), so we use HYDROLakes (indexed by WBIC) to match to the COMID. This is done in the DNR_data_filter.ipynb script as well.\n\nPython Versions\nThe .py files in graph_construction/ were run using Python version 3.9.7. The scripts used the following packages and version numbers:\ngeopandas (0.10.2) \nshapely (1.8.1.post1) \ntqdm (4.63.0) \nnetworkx (2.7.1) \npandas (1.4.1)\nnumpy (1.21.2). \n\nThis dataset is associated with the following publication:\nCole, D.L., G.J. Ruiz-Mercado, and V.M. Zavala. A graph-based modeling framework for tracing hydrological pollutant transport in surface waters.   COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 179: 108457, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528420",
      "keyword": [
        "watersheds",
        "Graph Theory",
        "hydrology",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/zavalab/JuliaBox/tree/master/HydroGraphs",
          "accessURL": "https://github.com/zavalab/JuliaBox/tree/master/HydroGraphs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-06",
      "references": [
        "https://doi.org/10.1016/j.compchemeng.2023.108457"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Geospatial Data and Random Forest To Predict PFAS Contamination in Fish Tissue in the Columbia River Basin, United States",
      "description": "Publicly available data about potential PFAS sources and PFAS measurements in fish tissue. \n\nThis dataset is associated with the following publication:\nDeLuca, N., A. Mullikin, P. Brumm, A. Rappold, and E. Hubal. Using Geospatial Data and Random Forest To Predict PFAS Contamination in Fish Tissue in the Columbia River Basin, United States.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57: 14024-14035, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529825",
      "keyword": [
        "PFAS",
        "fish",
        "exposure",
        "Columbia River Basin"
      ],
      "contactPoint": {
        "fn": "Nicole Deluca",
        "hasEmail": "mailto:deluca.nikki@epa.gov"
      },
      "distribution": [
        {
          "title": "https://echo.epa.gov/trends/pfas-tools",
          "accessURL": "https://echo.epa.gov/trends/pfas-tools",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://ecology.wa.gov/Research-Data/Data-resources/Environmental-Information-Management-database",
          "accessURL": "https://ecology.wa.gov/Research-Data/Data-resources/Environmental-Information-Management-database",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-30",
      "references": [
        "https://doi.org/10.1021/acs.est.3c03670",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515492"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "INLA_CONUS_forecast",
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        "fn": "Blake Schaeffer",
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      },
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        "signaling pathways",
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      "title": "Complete Dataset for TEG (Grignard Pure) Manuscript",
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      "title": "Assessing residential activity in a home plumbing system simulator: monitoring the occurrence and relationship of major opportunistic pathogens and phagocytic amoebas (FM)",
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      "identifier": "https://doi.org/10.23719/1529129",
      "keyword": [
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        "Premise Plumbing",
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      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        },
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          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376250",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376254",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376255",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376255",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376256",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN34376256",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_water_quality_parameters.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_taxonomy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529129/Table_taxonomy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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                "name": "U.S. Government"
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    },
    {
      "title": "Potassium jarosite seeding of soils decreases Pb and As bioaccessibility: A path toward concomitant remediation.",
      "description": "X-ray absorption spectroscopy raw data files",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
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      "identifier": "https://doi.org/10.23719/1529831",
      "keyword": [
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        "XAS"
      ],
      "contactPoint": {
        "fn": "Tyler Sowers",
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      },
      "distribution": [
        {
          "title": "2023_2022_Figures and Tables_Kjarosite_MS2.xlsx",
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      "references": null,
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            "subOrganizationOf": [
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          }
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    {
      "title": "Phosphate VOC study PFAS breakthrough and modeling data",
      "description": "Time series breakthrough data for PFAS on pilot systems compared to model predictions. \n\nThis dataset is associated with the following publication:\nHaupert, L., A. Redding, M. Gray, J. Civardi, B. Datsov, T. Sanan, M. Mills, T. Speth, and J. Burkhardt. Impact of phosphate addition on PFAS treatment performance for drinking water.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 5(6): e1361, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529105",
      "keyword": [
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        "anion exchange",
        "GAC",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Levi Haupert",
        "hasEmail": "mailto:haupert.levi@epa.gov"
      },
      "distribution": [
        {
          "title": "Phos_VOC_SciHubDataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529105/Phos_VOC_SciHubDataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-08",
      "references": [
        "https://doi.org/10.1002/aws2.1361"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Machine learning to predict tributary phosphorus loads data",
      "description": "The water and climate data for Lake Erie, including:\nSoil moisture, streamflow, water temperature, evaporation, baseflow. NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527723",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "land surface model",
        "multi media modeling",
        "eutrophication",
        "Nutrient use"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-08",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Freshwater Salinization Syndrome Alters Nitrogen Transport in Urban Watersheds",
      "description": "A synthesis of data mined from USGS publicly available data. This dataset is not publicly accessible because: Data is owned by University of Maryland. It can be accessed through the following means: contact primary authors: josephgalella@gmail.com. Format: Excel spreadsheet. \n\nThis dataset is associated with the following publication:\nGalella, J., S. Kaushal, P. Mayer, C. Maas, R. Shatkay, S. Inamdar, and K. Belt. Freshwater Salinization Syndrome Alters Nitrogen Transport in Urban Watersheds.   WATER. MDPI, Basel,  SWITZERLAND, 15(22): 3956, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529837",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Urban Watersheds",
        "nitrogen",
        "Ion",
        "salinity"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-14",
      "references": [
        "https://doi.org/10.3390/w15223956"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Freshwater Salinization Syndrome limits management efforts to improve water quality",
      "description": "water chemistry collected across multiple streams in the Chesapeake Bay area. This dataset is not publicly accessible because: data maintained and owned by University of Maryland. It can be accessed through the following means: by contacting corresponding author. Format: excel spreadsheets. \n\nThis dataset is associated with the following publication:\nMaas, C., S. Kaushal, M. Rippy, P. Mayer, S. Grant, R. Shatkay, J. Malin, S.V. Bhide, P. Vikesland, L. Krauss, J.E. Reimer, and A.M. Yaculak. Freshwater Salinization Syndrome limits management efforts to improve water quality.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 11: 1106581, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529606",
      "keyword": [
        "Urban Watersheds",
        "chemical mixtures",
        "Water monitoring",
        "nitrate",
        "Green Infrastructure",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-01",
      "references": [
        "https://doi.org/10.3389/fenvs.2023.1106581",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568995"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Identifying candidate reference chemicals for in vitro testing of the retinoid pathway for predictive developmental toxicity",
      "description": "Dataset for Baker, et al., Identifying candidate reference chemicals for in vitro testing of the retinoid pathway for predictive developmental toxicity, published in journal Altex, https://doi.org/10.14573/altex.2202231\n\nThe two zip files are Excel Macro files, but could not be loaded into SciHub unless they were converted to zip files. \n\nThis tool was built using the EPA's LitDB, a database of MeSH terms from PubMed/Medline records downloaded from NLM.\n1. A set of MeSH terms for targets of interest was assembled.\n2.  The database was searched for occurrences of those terms with antagonist OR agonist subheading in PubMed citations.\n3.  Non-protein chemicals annotated as major topics in that set of articles was extracted. \n4.  The chemical MeSH term and the protein target MeSH term were output to Excel in a long format (Detail sheet) and pivot table format (Overview sheet). \n5. VBA code was added that allows navigation between the Overview sheet and the Detail sheet. \n\nThis dataset is associated with the following publication:\nBaker, N., J. Pierro, L. Taylor, and T. Knudsen. Identifying candidate reference chemicals for in vitro testing of the retinoid pathway for predictive developmental toxicity.   ALTEX. Society ALTEX Edition, Kuesnacht,  SWITZERLAND, 40(2): 217-236, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529822",
      "keyword": [
        "In vitro profiling",
        "Developmental Toxicity",
        "Retinoid signaling pathway",
        "Predictive Toxicology"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementalMaterial_altex.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529822/SupplementalMaterial_altex.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LitDB_RetinoidPathway_altex.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529822/LitDB_RetinoidPathway_altex.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AbstractSifter_retinoid.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529822/AbstractSifter_retinoid.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-08",
      "references": [
        "https://doi.org/10.14573/altex.2202231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerated contactors depth profiles",
      "description": "Water quality and microbial community data from pilot-scale biologically active aerated contactors and filters treating groundwater for drinking water. \n\nThis dataset is associated with the following publication:\nKeithley, A., V. Gomez-Alvarez, D. Williams, H. Ryu, and D. Lytle. Depth profiles of biological aerated contactors: Characterizing microbial activity treating reduced contaminants.   Journal of Water Process Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 56: 104360, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528785",
      "keyword": [
        "Biofilter",
        "aerated contactor",
        "nitrification",
        "Drinking water (Groundwater)"
      ],
      "contactPoint": {
        "fn": "Asher Keithley",
        "hasEmail": "mailto:keithley.asher@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Aerated Contactor Depth Profiles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528785/SciHub%20Aerated%20Contactor%20Depth%20Profiles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-18",
      "references": [
        "https://doi.org/10.1016/j.jwpe.2023.104360"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen-Sparging Assisted Anoxic Biological Drinking Water Treatment System",
      "description": "data comparing denitrification reactors operated in the lab. \n\nThis dataset is associated with the following publication:\nKeithley, A., P. Woodruff, D. Williams, N. Dugan, and D. Lytle. Nitrogen-Sparging Assisted Anoxic Biological  Drinking Water Treatment System.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 5(5): e1359, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528699",
      "keyword": [
        "nitrate",
        "Drinking water (Groundwater)",
        "denitrification",
        "biological treatment"
      ],
      "contactPoint": {
        "fn": "Asher Keithley",
        "hasEmail": "mailto:keithley.asher@epa.gov"
      },
      "distribution": [
        {
          "title": "NO3 Pilot SciHub 2023-05-23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528699/NO3%20Pilot%20SciHub%202023-05-23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-22",
      "references": [
        "https://doi.org/10.1002/aws2.1359"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for manuscript titled 'PM2.5-attributable mortality burden variability in the continental U.S.'",
      "description": "Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575.\n\nIncludes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529841",
      "keyword": [
        "Air quality and health",
        "Fine Particulate Matter",
        "Exposure modeling",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Elizabeth Chan",
        "hasEmail": "mailto:chan.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Zipped.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529841/Zipped.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_Command Line Script Instructions.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529841/README_Command%20Line%20Script%20Instructions.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Health Impact Functions.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529841/Health%20Impact%20Functions.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-13",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "removal of strontium by ion exchange and lime softening at eight drinking water treatment plants",
      "description": "Strontium concentrations and relevant water chemistry data from 8 ion exchange and lime softening treatment plants. \n\nThis dataset is associated with the following publication:\nLytle, D., A. Keithley, and D. Williams. Removal of Strontium by Ion Exchange and Lime Softening  at Eight Drinking Water Treatment Plants.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9(8): 2140-2151, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527629",
      "keyword": [
        "Strontium",
        "Drinking water contaminants",
        "Lime softening",
        "ion exchange"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub - Full Scale Sr Removal.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527629/SciHub%20-%20Full%20Scale%20Sr%20Removal.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-24",
      "references": [
        "https://doi.org/10.1039/d2ew00987k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands",
      "description": "Supplementary data for \"Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands\". \n\nThis dataset is associated with the following publication:\nBartz, K., M. Hannam, T. Wilson, R. Lepak, J. Ogorek, D. Young, C. Eagles-Smith, and D. Krabbenhoft. Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska’s parklands.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 330: 121678, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529601",
      "keyword": [
        "Bayesian model",
        "mercury",
        "Alaska",
        "fish"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/611e5b9fd34e40dd9c0196a3",
          "accessURL": "https://www.sciencebase.gov/catalog/item/611e5b9fd34e40dd9c0196a3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-19",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.121678"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conservation Prioritization Nov2023",
      "description": "This file contains data associated with the paper \"Our national nutrient reduction needs: Applying a conservation prioritization framework to US agricultural lands\" by  Kirk et al.  This analysis uses data summarized by 8-digit hydrologic unit code, or HUC8, to prioritize conservation activities based on needs and opportunities for in-field and edge-of-field conservation practices.  HUC8-level subwatersheds were prioritized across the conterminous US using national nutrient inventory and agricultural landscape metrics. By utilizing nutrient surplus and nutrient use efficiency, the paper identifies where conservation efforts can focus, but also which types of conservation practices, singularly or in combination, might mitigate the excess nutrients. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529848",
      "keyword": [
        "wetlands",
        "Phosphorus and Nitrogen",
        "Agriculture",
        "nitrogen surplus",
        "conservation",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Conservation_Prioritization_Nov2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529848/Conservation_Prioritization_Nov2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Flickr Photo Analysis, On site surveys, and Station Assessments for Tillamook Bay and Tampa Bay ",
      "description": "Data analysis results of Flickr photos from Tillamook Bay and Tampa Bay cross-walking photos with beneficiary classes and environmental end point classes from the National Ecosystem Services Plus classification system. Data of onsite user observations in Tillamook Bay and Tampa Bay capturing environmental conditions, counts of individuals observed, and information on any beneficiary classes (using the National Ecosystem Services Plus classification system) observed. Data from environmental station assessment in Tillamook Bay and Tampa Bay on potential people access or utilization of the space (e.g., access for boats, viewscapes). \n\nThis dataset is associated with the following publication:\nLittles, C.J., N.S. Lewis, T. Dewitt, and M. Harwell. Recreational Beneficiaries and their Landscape Dependencies across National Estuary Program Sites: Tillamook Bay (OR) and Tampa Bay (FL), USA.   Ecosystems and People. Taylor & Francis Group, London,  UK, 19(1): 2276756, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529843",
      "keyword": [
        "recreational benefits",
        "ecosystem services",
        "Tillamook (Oregon)",
        "national estuary program",
        "Tamppa (Florida)"
      ],
      "contactPoint": {
        "fn": "Matthew Harwell",
        "hasEmail": "mailto:harwell.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "LittlesEtAl_DATA_StationAssessments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529843/LittlesEtAl_DATA_StationAssessments.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LittlesEtAl_DATA_OnsiteSurveys.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529843/LittlesEtAl_DATA_OnsiteSurveys.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LittlesEtAl_DATA_FlickrPhotoAnalysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529843/LittlesEtAl_DATA_FlickrPhotoAnalysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-11-01",
      "references": [
        "https://doi.org/10.1080/26395916.2023.2276756"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Insect-Mediated Contaminant Flux model parameters and outputs",
      "description": "Insect-Mediated Contaminant Flux model parameters and outputs. \n\nThis dataset is associated with the following publication:\nOlson, C.I., G.B. Beaubien, R.R. Otter, D.M. Walters, and M.A. Mills. Ecotoxicological Studies Indicate That Sublethal and Lethal Processes Limit Insect-Mediated Contaminant Flux.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(9): 1982-1992, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529846",
      "keyword": [
        "invertebrates",
        "metals",
        "Flux",
        "bioaccumulation"
      ],
      "contactPoint": {
        "fn": "Gale Beaubien",
        "hasEmail": "mailto:beaubien.gale@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata for scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529846/Metadata%20for%20scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-01",
      "references": [
        "https://doi.org/10.1002/etc.5574"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529846/documents/Data%20dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Clean Air Status and Trends Network (CASTNET) hourly temperature and other meteorological data (1990 - present)",
      "description": "Hourly temperature data and other meteorological data (e.g., relative humidity, solar radiation, precipitation, wind direction) are provided at long-term rural air monitoring sites. There are more than 90 CASTNET sites reporting hourly temperature data throughout the United States. These data can be used to assess climate impacts on air quality and trends in temperature from long-term monitoring sites. Meteorological sensors are calibrated to NIST traceable standards. Site location information is included with this dataset. The QAPP and associated SOPs can be found on the CASTNET website: www.epa.gov/castnet/documents-reports. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529853",
      "keyword": [
        "Clean Air Status and Trends Network (CASTNET)",
        "air quality",
        "air temperature",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Melissa Puchalski",
        "hasEmail": "mailto:puchalski.melissa@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/castnet/CASTNET_Outgoing/data/metdata.zip",
          "accessURL": "https://gaftp.epa.gov/castnet/CASTNET_Outgoing/data/metdata.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-21",
      "references": [
        "https://gaftp.epa.gov/Castnet/CASTNET_Outgoing/data/site.zip"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropogenic salt cycle",
      "description": "synthesis of global salt quantities and fluxes. This dataset is not publicly accessible because: maintained and owned by University of Maryland. It can be accessed through the following means: by contacting senior author. Format: excel spreadsheets of global salt quantities and fluxes. \n\nThis dataset is associated with the following publication:\nKaushal, S., G. Likens, P. Mayer, R. Shatkay, S. Shelton, S. Grant, R. Utz, A. Yaculak, C. Maas, J. Reimer, S. Bhide, J. Malin, and M. Rippy. The Anthropogenic Salt Cycle.   NATURE. Nature Publishing Group, New York, NY, USA, 4: 770-784, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529605",
      "keyword": [
        "Freshwater",
        "salinization",
        "Ion mixtures",
        "salt",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-01",
      "references": [
        "https://doi.org/10.1038/s43017-023-00485-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure",
      "description": "Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure. new technique to observe photosynthesis to monitor the health or cyanobacteria and their reaction to hydrogen peroxide. This dataset is not publicly accessible because: The public would require specialized software in order to view and interpret files. It can be accessed through the following means: Email zucker.robert@epa.gov. Format: The data in the paper is acquired in proprietary format from the manufacturer of the equipment. This data presented in the paper can be read only by using the software from the manufacturer which is quite costly and not feasible to purchase unless the  scientist owns the equipment. \n\nThis dataset is associated with the following publication:\nBrentjens, E., E. Beall, and R. Zucker. Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure.   PLOS Water. Public Library of Science, San Francisco, CA, USA, 2(10): e0000177, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527900",
      "keyword": [
        "flow cytometry",
        "cyanobacteria",
        "fluorescence",
        "Hydrogen Peroxide",
        "Microbial Photosynthesis",
        "Light scatter",
        "Autofluoresence"
      ],
      "contactPoint": {
        "fn": "Robert Zucker",
        "hasEmail": "mailto:zucker.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2022-08-29",
      "references": [
        "https://doi.org/10.1371/journal.pwat.0000177"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial and Temporal Variability in Stream Thermal Regime Drivers for Three River Networks During the Summer Growing Season",
      "description": "Many aquatic organisms adapted to cold-water habitats are suffering habitat losses and population declines during warm seasons when water temperatures are increasing above thermal tolerances. Therefore, identifying the mechanisms driving local and regional stream temperature regimes are useful for implementing targeted restoration and management activities at appropriate scales to help mitigate cold-water habitat loss. Controls on stream temperature vary across landscapes but also temporally within basins during ecologically important growing seasons. We developed a modeling process that identified statistical relationships between potential drivers of stream temperature and incorporated management-related covariates that could be adjusted as part of restoration planning scenarios. We tested this model development process in three river networks of the Pacific Northwest with pre-existing temperature total maximum daily loads for protecting cold-water habitat during three months of the growing season (May [start], August [warmest], and September [end]). When averaged across months and the three river networks, the covariates in our models with the highest relative importance represented the physical landscape (elevation [1st], catchment area [3rd], main channel slope [5th]) and temporally-variable climate covariates (mean monthly air temperature [2nd], and mean monthly discharge [4th]). Management-related covariates such as ground water use (6th) and riparian shade (7th) were of lesser but still significant relative importance. However, variation in the importance of covariates through time and among the river networks indicates that local nuances are important and should be addressed when planning restoration activities. The modeling process we developed demonstrated its ability to identify regional (similar across study areas) and local (unique to each study area) relationships among multiple drivers of stream temperature across complex landscapes. The data included provides the necessary inputs, code, and metadata for reproducing the models and output from this study. \n\nThis dataset is associated with the following publication:\nFuller, M., N. Detenbeck, P. Leinenbach, R. Labiosa, and D. Isaak. Spatial and temporal variability in stream thermal regime drivers for three river networks during the summer growing season.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA,  1-22, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524755",
      "keyword": [
        "spatial stream network model",
        "Model Selection",
        "stream temperature",
        "Pacific Northwest",
        "information criterion",
        "covariate relative importance"
      ],
      "contactPoint": {
        "fn": "Matthew Fuller",
        "hasEmail": "mailto:fuller.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "JAWRAms_EPAImpactStatement_ScienceHubDOImetadatafields.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524755/JAWRAms_EPAImpactStatement_ScienceHubDOImetadatafields.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-11",
      "references": [
        "https://doi.org/10.1111/1752-1688.13158",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631548"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Coastal Condition Assessment 2015 Datafiles for Report “National Coastal Condition Assessment: A Collaborative Survey of the Nation's Estuaries and Nearshore Great Lakes”",
      "description": "National Coastal Condition Assessment 2015 Datafiles for Report “National Coastal Condition Assessment: A Collaborative Survey of the Nation's Estuaries and Nearshore Great Lakes”: The National Coastal Condition Assessment (NCCA) is a statistical survey of the condition of our nation's estuaries and nearshore Great Lake waters. It is designed to provide information on the extent of coastal waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact estuarine and Great Lake nearshore water quality, and provide insight into whether these resources nationwide are getting cleaner. These datasets are archived (zipped) files comprised of chemical, physical and biological files used in developing the NCCA 2015 report. There is a zipped file for estuaries and one for Great Lakes. \nSampling was conducted in the summer of 2015 at approximately 1000 sites in the conterminous United States. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic invertebrates, physical habitat, secchi/PAR data, sediment chemistry, sediment toxicity, contaminants in fish tissue, microcystins, etc. Users are encouraged to visit the NARS data webpage for updates to data files  and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys\n\nCitation for the NCCA 2015 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Coastal Condition Assessment 2015 Report. Great Lakes Archived Data OR Estuarine Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-coastal-condition-assessment-2015. DOI: 10.23719/1529844\n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Coastal Condition Assessment 2015 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”\n\nAdditional information: NCCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529844",
      "keyword": [
        "NARS",
        "National Aquatic Resource Surveys",
        "National Coastal Condition Assessment",
        "NCCA",
        "chemical",
        "physical",
        "biological",
        "statistical survey",
        "assessment",
        "states",
        "Tribes",
        "Estuaries",
        "Great Lakes",
        "nearshore",
        "EPA"
      ],
      "contactPoint": {
        "fn": "Hugh Sullivan",
        "hasEmail": "mailto:sullivan.hugh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ncca_2015_greatlakes_alldatafiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529844/ncca_2015_greatlakes_alldatafiles.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ncca_2015_estuarine_alldatafiles-1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529844/ncca_2015_estuarine_alldatafiles-1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-11-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for Spatial and Temporal Variations of Estuarine Stratification and Flushing Time across the Continental U.S.",
      "description": "These datasets provide the raw and preprocessed data required to calculate estuarine stratification indices and estimates of flushing time for estuaries across the United States, as well as time series of the indices themselves.  Data are available through the EPA's Estuary Data Mapper. \n\nThis dataset is associated with the following publication:\nShen, X., N. Detenbeck, and M. You. Spatial and temporal variations of estuarine stratification and flushing time across the continental U.S..   Estuarine Coastal and Shelf Science. Elsevier Science Ltd, New York, NY, USA, 279: 108147, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529836",
      "keyword": [
        "estuary",
        "Stratification",
        "classification",
        "Sensitivity",
        "flushing time",
        "Nitrogen and Co-pollutants",
        "variability"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/edm",
          "accessURL": "https://www.epa.gov/edm",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-25",
      "references": [
        "https://doi.org/10.1016/j.ecss.2022.108147",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762436"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Use of historical isoscapes to develop an estuarine nutrient baseline",
      "description": "Coastal eutrophication is a prevalent threat to the healthy functioning of ecosystems globally. While degraded water quality can be detected by monitoring oxygen, nutrient concentrations, and algal abundance, establishing regulatory guidelines is complicated by a lack of baseline data (e.g., pre-Anthropocene). We use historical carbon and nitrogen isoscapes from sediment cores to reconstruct spatial and temporal changes in nutrient dynamics for a central California estuary, where development and agriculture dramatically enhanced nutrient inputs over the past century. We found strong contrasts between current sediment stable isotopes and those from the recent past, demonstrating shifts exceeding those in previously studied eutrophic estuaries and substantial increases in nutrient inputs. Comparisons of contemporary with historical isoscapes also revealed that nitrogen sources shifted from a marine-terrestrial gradient to amplified denitrification at the head and mouth of the estuary. Geospatial analysis of historical data suggests that an increase in fertilizer application – rather than population growth or increases in the extent of cultivated land – is chiefly responsible for increasing nutrient loads during the 20th century. This study demonstrates the ability of isotopic and stoichiometric maps to provide important perspectives on long-term shifts and spatial patterns of nutrients that can be used to improve management of nutrient pollution. \n\nThis dataset is associated with the following publication:\nChamplin, L., A. Woolfolk, A. Oczkowski, A. Rittenhouse, A. Gray, K. Wasson, F. Rahman, P. Zelanko, N. Quintana Krupinski, R. Jeppesen, J. Haskins, and E. Watson. Use of historical isoscapes to develop an estuarine nutrient baseline.   Frontiers in Marine Science. Frontiers, Lausanne,  SWITZERLAND, 10: 1257015, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529782",
      "keyword": [
        "nitrogen stable isotopes",
        "Elkhorn",
        "carbon",
        "stable isotopes",
        "nitrogen",
        "nutrient",
        "estuary",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.3ffbg79q6",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.3ffbg79q6",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-16",
      "references": [
        "https://doi.org/10.3389/fmars.2023.1257015",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563801"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.3ffbg79q6"
      },
      "accessRights": "public"
    },
    {
      "title": "Persistence and decontamination efficacy data of select chemical warfare agent simulants",
      "description": "Persistence and decontamination efficacy data of three select chemical warfare agent simulants. \n\nThis dataset is associated with the following publication:\nOudejans, L., B. Wyrzykowska, E. Morris, S. Jackson, A. Touati, J. Sawyer, A. Mikelonis, and S. Serre. Evaluation of Malathion, DIMP, and Strawberry Furanone as CWA Simulants for Consideration in Field-Level Interior Building Remediation Exercises.   ACS Chemical Health & Safety. American Chemical Society, Washington, DC, USA, 30(5): 270-278, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528643",
      "keyword": [
        "simulant",
        "Persistence",
        "Decontamination",
        "Indoor outdoor decontamination",
        "Exercise"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "Simulant Selection Manuscript_Complete Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528643/Simulant%20Selection%20Manuscript_Complete%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-05",
      "references": [
        "https://doi.org/10.1021/acs.chas.3c00029"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting dataset for manuscript \"Spatial analysis of future climate risk to stormwater infrastructure\"",
      "description": "This dataset contains model simulation results described in the article \"Spatial analysis of future climate risk to stormwater infrastructure\". Simulations were  conducted for 2,509 weather stations located across the U.S. where NOAA Atlas 14 precipitation statistics are available. Simulations were not conducted in northwest States because the methodology requires NOAA Atlas 14 statistics which are not available in this region. Climate change scenarios are based on LOCA-downscaled CMIP5 GCM output for mid-century. Scenarios evaluated represent the 90th, median, and 10th percentile GCMs across the LOCA ensemble for each Atlas 14 location and recurrence interval, for event durations from 1 to 24 hours and recurrence intervals from 2 to 100 years. Future precipitation estimates are converted to runoff with EPA’s Storm Water Management Model version 5 (SWMM5) on a unit-area basis for a simple generic catchment.  We evaluate the effects of changes in specific duration-frequency events on wet detention and bioretention based stormwater BMPs. \n\nThis dataset is associated with the following publication:\nButcher, J., S. Sarkar, T. Johnson, and A. Shabani. Spatial Analysis of Future Climate Risk to Stormwater Infrastructure.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA,  1-14, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524746",
      "keyword": [
        "stormwater",
        "adaptation",
        "bmp",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "DetentionAnalysis_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524746/DetentionAnalysis_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BioretentionAnalysis_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524746/BioretentionAnalysis_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StationLocations_ScienceHub_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524746/StationLocations_ScienceHub_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-08",
      "references": [
        "https://doi.org/10.1111/1752-1688.13132"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pesticide Residues in Honey Bee (Apis mellifera) Pollen collected in Two Ornamental Plant Nurseries in Connecticut: Implications for Bee Health and Risk Assessment",
      "description": "These data were collected as part of RARE project with the Connecticut Agricultural Experiment Station. For this work, pollen was collected from honey bee colonies located at two ornamental plant nurseries in Connecticut. The pollen was analyzed for pesticide residues (type and quantity). Aggregate risk quotients for honey bee adults and larvae were calculated using these data. \n\nThis dataset is associated with the following publication:\nHester, K., K. Stoner, B. Eitzer, R. Koethe, and D. Lehmann. Pesticide Residues in Honey Bee (Apis mellifera) Pollen collected in Two Ornamental Plant Nurseries in Connecticut: Implications for Bee Health and Risk Assessment.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 333: 122037, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528641",
      "keyword": [
        "Risk Assessment",
        "honey bee",
        "pesticide",
        "ornamental plant nursery"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_DataEntry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528641/SciHub_DataEntry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-03",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.122037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
      "accessRights": "public"
    },
    {
      "title": "2016 EPA National Wetland Condition Assessment water quality data",
      "description": "EPA's 2016 National Wetland Condition Assessment sampled wetlands across the conterminous USA for vegetation, soils, water chemistry, and anthropogenic impacts.  Data for all of these elements of the 2016 NWCA survey are available from the EPA NARS website.  This particular publication uses the water chemistry data and the anthropogenic impacts data, as well as the general site data that describes sampling locations, wetland type classifications, etc. \n\nThis dataset is associated with the following publication:\nTrebitz, A., and A. Herlihy. Wetland water quality patterns and anthropogenic pressure associations across the continental USA.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA,  N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529864",
      "keyword": [
        "nutrients",
        "mining impacts",
        "salinization",
        "inland wetlands",
        "water quality",
        "anthropogenic pressure",
        "spatial scale",
        "connectivity"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2023-12-01",
      "references": [
        "https://doi.org/10.1007/s13157-023-01754-8"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dynamically Downscaled Projections of Phenological Changes across the Contiguous United States ",
      "description": "This study examines how phenological indicators, which track the life cycles of plants and animals, could change from 2025–2100 as simulated in a regional climate model over the contiguous U.S.  Chilling units quantify the presence of cooler weather that can benefit plants prior to their growing season.  They are projected to decrease in the southern U.S., possibly inhibiting agricultural production.  Spring onset is projected to occur earlier in the year, advancing by 1–4 days on average over each future decade.  Risk of false springs (damaging hard freezes after spring onset) increases in the western U.S.  Our findings highlight the need to understand effects of climate change during transitional seasons, which can impact agriculture and ecosystems. ",
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        "regional climate model",
        "dynamical downscaling",
        "Chilling Requirement"
      ],
      "contactPoint": {
        "fn": "Megan Mallard",
        "hasEmail": "mailto:mallard.megan@epa.gov"
      },
      "distribution": [
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          "title": "https://www2.mmm.ucar.edu/wrf/users/download/get_source.html",
          "accessURL": "https://www2.mmm.ucar.edu/wrf/users/download/get_source.html",
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          "accessURL": "https://github.com/usa-npn/gridded_models",
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          "accessURL": "https://prism.oregonstate.edu/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "tables.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/tables.tar",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/Fig6.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Fig4.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/Fig4.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Fig3.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/Fig3.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig2.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/Fig2.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "fig1.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528766/fig1.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Large Mid Columbia Spatial Stream Data",
      "description": "This is the Mid Columbia stream network used in the application section of the journal article. \n\nThis dataset is associated with the following publication:\nVer Hoef, J., M. Dumelle, M. Higham, E. Peterson, and D. Isaak. Indexing and Partitioning the Spatial Linear Model for Large Data Sets.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(11): e0291906, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529840",
      "keyword": [
        "statistical model",
        "Stream Network",
        "Big Data",
        "spatial data",
        "Correlation"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/jayverhoef/midColumbiaLSN",
          "accessURL": "https://github.com/jayverhoef/midColumbiaLSN",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-14",
      "references": [
        "https://doi.org/10.1371/journal.pone.0291906",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619847"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead and Arsenic X-ray absorption spectral models fit as linear combination of known standards",
      "description": "In this study, smelter contaminated soil was treated with various soil amendments (ferric sulphate [Fe2(SO4)3], triple superphosphate [TSP] and biochar) to determine their efficacy in immobilizing soil lead (Pb) and arsenic (As). \nXAS were collected on soils and mine waste materials at the Materials Research Collaborative Access Team 10-BM for As and 10-ID for Pb, Advanced Photon Source at Argonne National Laboratory. \nArsenic XAS data collection at 10-BM was measured at the As K edge (11867 eV) using a 4-element Vortex fluorescence detector. Four layers of aluminum foil to filter out background fluorescence from iron and other elements in the samples. Three to five step scans were collected in fluorescence by Vortex detector at 45° incident to sample and down beam transmission on energy calibration standard. Energy was calibrated to set at the 1st derivative inflection point zero of sodium arsenate standard to 11874 eV. Data were then background subtracted and converted to k space for EXAFS region analysis. Data processed for EXAFS analysis were k3-weighted and all e0 set to 11870 eV for uniform k range start energy. Spline range was 0.5-12 k. \nLead XAS data collection at 10-ID utilized a Si(111) mono to tune energy to the Pb L3-edge (13035 eV). Samples were measured in fluorescence using a Mirion-Canberra 7-element Ge detector at 45° incident to the sample. For each sample, three to five scans were collected in both transmission and fluorescence mode with a Pb foil for reference sample. Calibration was performed by assigning the first derivative inflection point of Pb foil scan to 13035 eV. \nAnalysis of Pb spectra utilized LCF of the 1st derivative norm(E) from -20 to 80 eV from e0, constraints of all weights between 0 and 1 and sum of weights normalized to 1. Standards were sequentially removed based on statistical improvement of fit. Components contributing less than ten percent were removed, followed by refitting with remaining components. The combination of standards resulting in the lowest R-factor results for each sample was reported. Arsenic spectra were analyzed LCF utilizing the EXAFS range of spectra. Preliminary data checking indicated As oxidation states of all samples contained only AsV as confirmed by matching edge position with the sodium arsenate pellet used for energy calibration. As EXAFS range were utilized for quantitative speciation from a k-range of 3-10 Å-1. \n\nThis dataset is associated with the following publication:\nAlankarage, D., A. Betts, K.G. Scheckel, C. Herde, M. Cavallaro, and A.L. Juhasz. Remediation options to reduce bioaccessible and bioavailable lead and arsenic at a smelter impacted site - consideration of treatment efficacy.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 341: 122881, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529350",
      "keyword": [
        "biochar",
        "Bioaccessibility",
        "arsenic",
        "lead",
        "relative bioavailability",
        "immobilization",
        "plumbojarosite",
        "TSP"
      ],
      "contactPoint": {
        "fn": "Aaron Betts",
        "hasEmail": "mailto:betts.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "Pb_Dileepa_XAS_LCF.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529350/Pb_Dileepa_XAS_LCF.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "As_Dileepa_XAS_LCF.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529350/As_Dileepa_XAS_LCF.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-24",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.122881"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Source Code for Evaluating Impact of Anatomical and Physiological Variability on Human Equivalent Doses Using PBPK Models",
      "description": "The dataset includes source code that was used to perform analyses described in the manuscript \"Evaluating Impact of Anatomical and Physiological Variability on Human Equivalent Doses Using PBPK Models\" by Schacht et al.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529827",
      "keyword": [
        "pbpk",
        "modeling",
        "Human Health Risk",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Dustin Kapraun",
        "hasEmail": "mailto:kapraun.dustin@epa.gov"
      },
      "distribution": [
        {
          "title": "Source_Code_PBPK_HED_Distributions_20231108.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529827/Source_Code_PBPK_HED_Distributions_20231108.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Instructions.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529827/Instructions.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code for Rice et al. “Wildfires increase concentrations of hazardous air pollutants in downwind communities.”",
      "description": "This dataset provides the data and code associated with the publication Rice et al. \"Wildfires increase concentrations of hazardous air pollutants in downwind communities\". \n\nThis dataset is associated with the following publication:\nRice, R., K. Boaggio, N. Olson, K. Foley, C. Weaver, J. Sacks, S. McDow, A. Holder, and S. Leduc. Wildfires increase concentrations of hazardous air pollutants in downwind communities.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  14, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529861",
      "keyword": [
        "Wildland Fire",
        "hazardous air pollutants",
        "smoke",
        "climate change",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Richard Rice",
        "hasEmail": "mailto:rice.byron@epa.gov"
      },
      "distribution": [
        {
          "title": "Data and code description for Rice et al 2023.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529861/Data%20and%20code%20description%20for%20Rice%20et%20al%202023.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529861/code.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529861/data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-29",
      "references": [
        "https://doi.org/10.1021/acs.est.3c04153"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Strong Base Anion Exchange Selectivity of Nine Perfluoroalkyl Chemicals Relevant to Drinking Water Figure Data (V1)",
      "description": "Data for figures associated with the manuscript entitled Strong Base Anion Exchange Selectivity of Nine Perfluoroalkyl Chemicals Relevant to Drinking Water. \n\nThis dataset is associated with the following publication:\nWahman, D., S. Smith, E. Kleiner, G. Abulikemu, E. Stebel, B. Gray, B. Crone, R. Taylor, E. Womack, C. Gastaldo, T. Sanan, J. Pressman, and L. Haupert. Strong Base Anion Exchange Selectivity of Nine Perfluoroalkyl Chemicals Relevant to Drinking Water.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 3(12): 3967−3979, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529095",
      "keyword": [
        "anion exchange",
        "law of mass action",
        "Inorganic Anions",
        "PFAS",
        "selectivity",
        "external mass transfer",
        "internal mass transfer",
        "homogeneous surface diffusion model"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "AEX_PFAS_figure_data_V1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529095/AEX_PFAS_figure_data_V1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-22",
      "references": [
        "https://doi.org/10.1021/acsestwater.3c00396",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model code and modeling results for the Inorganic Arsenic IRIS Assessment (External Review Draft)",
      "description": "These files contain the model code as well as modeling results for the draft inorganic arsenic assessment (external review draft)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529909",
      "keyword": [
        "inorganic arsenic",
        "toxicity values",
        "IRIS assessments",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Jeffrey Gift",
        "hasEmail": "mailto:gift.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/DRAFTiAsToxReview/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/DRAFTiAsToxReview/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Computational Fluid Dynamics Analysis of a Micro-scale Chamber for Measuring Organic Chemical Emission Parameters",
      "description": "The data presented in this data file is a product of journal publication. The dataset contains air velocity of testing chambers, and convective mass transfer coefficient, diffusion coefficient, and material / air partition coefficient of formaldehyde with different building materials. Portions of this dataset are inaccessible because: CFD data was generated and stored by North Carolina State University because the files are too big and need specific software to open. They can be accessed through the following means: Please contact Jack Edwards <jredward@ncsu.edu> at North Carolina State University. Format: CFD modeling data files. \n\nThis dataset is associated with the following publication:\nEdwards, J., C. Huang, and X. Liu. Computational Fluid Dynamics Analysis of a Micro-scale Chamber for Measuring Organic Chemical Emission Parameters.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA,  0, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529277",
      "keyword": [
        "CFD modeling",
        "micro-scale diffusion chamber",
        "Diffusion coefficient",
        "Mass Transfer Coefficient",
        "material / air partition coefficient",
        "Formaldehyde"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_CFD Paper_Data Tables&Dictionary-07192023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529277/XiaoyuLiu_CFD%20Paper_Data%20Tables%26Dictionary-07192023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-19",
      "references": [
        "https://www.sciencedirect.com/science/article/pii/S0304389423021167"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Draft ASTM Standard Test Method for Determination of Fluorotelomer Alcohols in Air by Thermal Desorption - Gas Chromatography Triple Quadrupole Tandem Mass Spectrometry",
      "description": "The data presented in this data file is a product of a draft ASTM standard. The dataset contains FTOH concentrations measured in thermal desorption tube stability evaluation. It is also published in J Chromatogr. A, 1705 (2023) 464204. \n\nThis dataset is associated with the following publication:\nLiu, X., and Z. Robbins. ASTM Standard Test Method for Determination of Fluorotelomer Alcohols in Air by Thermal Desorption - Gas Chromatography Triple Quadrupole Tandem Mass Spectrometry. U.S. EPA Office of Research and Development, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529534",
      "keyword": [
        "consumer products",
        "thermal desorption",
        "Gas chromatography-tandem mass spectrometry",
        "PFAS",
        "emissions",
        "fluorotelomer alcohol"
      ],
      "contactPoint": {
        "fn": "Xiaoyu Liu",
        "hasEmail": "mailto:liu.xiaoyu@epa.gov"
      },
      "distribution": [
        {
          "title": "XiaoyuLiu_ASTM Methodr_Data Tables&Dictionary-09042023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529534/XiaoyuLiu_ASTM%20Methodr_Data%20Tables%26Dictionary-09042023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LP Manuscript CFU Data final",
      "description": "Reported average CFU/lung based on bacterial enumeration of homogenized lungs.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529545",
      "keyword": [
        "RNASeq",
        "in vivo",
        "legionella",
        "Aerosol",
        "CFU",
        "excel",
        "lung"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "LP Manuscript CFU Data final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529545/LP%20Manuscript%20CFU%20Data%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar",
      "description": "Biochars with a high affinity for phosphorus (P) are promising soil amendments for reducing P in agricultural runoff. Poultry litter (PL) is an abundant biochar feedstock. However, PL-derived biochars are typically high in soluble P and therefore require chemical modification to become effective P sorbents. This study investigated the effect of magnesium (Mg) activation on extractable P (EP) and P sorption capacities of PL-derived biochars. Biochar was produced at 500–900 °C from PL activated with 0–1 M Mg. Three differentially aged PL feedstocks were evaluated (1-, 3–5-, and 7–9-year-old)\nhas context menu. \n\nThis dataset is associated with the following publication:\nPadilla, J.T., D. Watts, J. Novak, V. Cerven, J. Ippolito, A.A. Szogi, and M. Johnson. Magnesium activation affects the properties and phosphate sorption capacity of poultry litter biochar.   Biochar. Springer Nature, New York, NY, USA, 5: 64, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529911",
      "keyword": [
        "Pollution Reduction",
        "biochar",
        "sorption",
        "eutrophication",
        "phosphorous"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.pc866t1w7",
          "accessURL": "https://doi.org/10.5061/dryad.pc866t1w7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-10-07",
      "references": [
        "https://doi.org/10.1007/s42773-023-00263-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Formosa Mine Studies",
      "description": "Greenhouse screening of plants using a variety of combinations of amendments to provide information for a full-scale on-site revegetation study. \n\nThis dataset is associated with the following publication:\nJohnson, M., D. Olszyk, T. Shiroyama, M. Bollman, M. Nash, V. Manning, K. Trippe, D. Watts, and J. Novak. Designing Amendments to Improve Plant Performance for Mine Tailings Revegetation.   Agrosystems, Geosciences & Environment. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(3): e20409, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527929",
      "keyword": [
        "metals",
        "Lime",
        "pH",
        "Electrical conductivity",
        "superfund sites",
        "biosolids"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Formosa Tailings, Biosolids, Biochar Chemistry Data Final 082522.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Formosa%20Tailings%2C%20Biosolids%2C%20Biochar%20Chemistry%20Data%20Final%20082522.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa III Greenhouse Study Soil Mixture Moisture Data Sheet For Appendix C.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Formosa%20III%20Greenhouse%20Study%20Soil%20Mixture%20Moisture%20Data%20Sheet%20For%20Appendix%20C.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Greenhouse Study 1 For SH DF 083022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Formosa%20Greenhouse%20Study%201%20For%20SH%20DF%20083022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Greenhouse 2 Soil Chemistry Data Revised 042920.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Formosa%20Greenhouse%202%20Soil%20Chemistry%20Data%20Revised%20042920.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Greenhouse 2 Plant Data Revised 072522.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Formosa%20Greenhouse%202%20Plant%20Data%20Revised%20072522.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017-2018 Greenhouse Climate Data Final 080822.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/2017-2018%20Greenhouse%20Climate%20Data%20Final%20080822.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Liming study of Formosa Soil_results For Appendix A.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527929/Liming%20study%20of%20Formosa%20Soil_results%20For%20Appendix%20A.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-30",
      "references": [
        "https://doi.org/10.1002/agg2.20409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data on Mineral-Organic Interactions in PFAS Retention by AFFF Impacted Soil",
      "description": "Data were collected to develop a comprehensive, generalized approach to predict the retention of per- and polyfluoroalkyl substances (PFAS) from aqueous film forming foam (AFFF) by a soil matrix as a function of PFAS molecular and soil physiochemical properties was developed. An AFFF with 34 major PFAS (12 anions and 22 zwitterions) was added to uncontaminated soil in one-dimensional saturated column experiments and PFAS mass retained was measured. PFAS mass retention was described using an exhaustive statistical approach to generate a poly-parameter quantitative structure-property relationship (ppQSPR). This dataset is not publicly accessible because: The senior author generated the data and has the data.  At the time he was a graduate student at Oregon State University. It can be accessed through the following means: By contacting the senior author at: Thomas.Wanzek@Geosyntec.com. Format: Likely in excel spreadsheets. \n\nThis dataset is associated with the following publication:\nWanzek, T., J. Stults, M. Johnson, J. Field, and M. Kleber. Role of Mineral−Organic Interactions in PFAS Retention by AFFF-Impacted Soil.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(13): 5231-5242, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529832",
      "keyword": [
        "PFAS",
        "Soil Columns",
        "Kd",
        "poly-parameter modeling",
        "Source Zone",
        "ppQSPR",
        "AFFF"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-10",
      "references": [
        "https://doi.org/10.1021/acs.est.2c08806"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Equilibrium and kinetic sorption of heavy metals by poultry litter biochar: pH-dependency and modeling",
      "description": "[4:05 PM] Reed, Coral\nBiochars with high phosphate (P) contents are promising amendments to remediate metal-contaminated soils due to their ability to form stable metal-P precipitates. However, their performance is usually assessed at a single pH. This study investigated the sorption of Pb, Cu, Zn, Cd, and Ni by poultry litter (PL) biochar across a pH range using sorption edge, isotherm, and kinetics experiments. Metal sorption was strongly pH-dependent with increased sorption at higher pH. The affinity of the PL biochar for the metals decreased in the order of Pb>>Cu>Zn>Cd>Ni. In all cases, ≤21% of the sorbed metals were exchangeable, indicating that stable metal-biochar associations were formed. Sorption kinetics experiments demonstrated that reaction rates were slower at pH 4.5 than 6.5 for Pb, Cu, and Cd whereas those for Zn and Ni were unaffected by pH. The results suggested that metal-P precipitation was favored for Cu, Cd, and Zn at pH≥5.5, or Pb at any pH. This indicates that PL-derived biochars can be effective amendments for contaminated soils given that the soils are not too acidic. Experimental data were described using a pH-dependent Freundlich-type isotherm and its kinetic analog. Sorption edges and isotherms were reasonably described for Pb, Zn, Cd, and Ni (r2≥0.83). Kinetics data were best described using model parameters obtained from sorption edge experiments due to similarities between the input metal concentrations. This modeling approach has superior descriptive capabilities than traditional empirical approaches while maintaining relative simplicity. Moreover, pH-dependent equilibrium and kinetic sorption can be described using a single set of parameters. \n\nThis dataset is associated with the following publication:\nPadilla, J.T., D. Watts, A.A. Szogi, and M. Johnson. Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 347: 140688, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529912",
      "keyword": [
        "phosphorous",
        "biochar",
        "Metal sorption",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.4f4qrfjk8",
          "accessURL": "https://doi.org/10.5061/dryad.4f4qrfjk8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-15",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.140688"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Particulate Pb emission factors from wildland fires in the United States",
      "description": "Dataset used to generate the figures and tables in manuscript describing the particulate Pb emission factors from wildland fires in the United States. \n\nThis dataset is associated with the following publication:\nHolder, A., V. Rao, K. Kovalcik, and P. Virtaranta. Particulate Pb emission factors from wildland fires in the United States.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS,  0, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528599",
      "keyword": [
        "Fine Particulate Matter",
        "emissions",
        "wildland fire smoke",
        "Toxic metals"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Data set for Particulate Pb EFs Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528599/Data%20set%20for%20Particulate%20Pb%20EFs%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-12",
      "references": [
        "https://www.sciencedirect.com/science/article/pii/S2590162123000291?via%3Dihub"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Expanding Non-invasive Approaches for Fish-Health Monitoring",
      "description": "Summary of inter species differences captured using non-invasive sampling of epidermal mucus and mass spectrometry. \n\nThis dataset is associated with the following publication:\nEkman, D., M. Evich, J. Mosley, J. Doering, K. Fay, G. Ankley, and T. Collette. Expanding non-invasive approaches for fish-health monitoring: A survey of the epidermal mucous metabolomes of phylogenetically diverse freshwater fish species.   JOURNAL OF FISH BIOLOGY. Blackwell Publishing, Malden, MA, USA, 103(5): 1178-1189, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528415",
      "keyword": [
        "epidermal mucus",
        "metabolomics",
        "non-lethal monitoring",
        "fish"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "Ekman et al._SciHub Entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528415/Ekman%20et%20al._SciHub%20Entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-31",
      "references": [
        "https://doi.org/10.1111/jfb.15512"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "qPCR mastersheet-mod-no-CoV2",
      "description": "This data set contains information on the concentration of selected gastrointestinal viral and bacterial pathogens extracted from raw wastewater. \n\nThis dataset is associated with the following publication:\nWu, H., M.A. Juel, S. Eytcheson, T.G. Aw, M. Munir, and M. Molina. Temporal and spatial relationships of CrAssphage and enteric viral and bacterial pathogens in wastewater in North Carolina.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 239: 120008, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529823",
      "keyword": [
        "CrAssphage",
        "Viruses",
        "temporal variations",
        "Bacteria",
        "enteric pathogens correlations",
        "rt-qpcr",
        "qPCR",
        "spatial variations",
        "municipal untreated wastewater",
        "human adenovirus",
        "enterovirus",
        "norovirus",
        "Campylobacter",
        "Salmonella",
        "Stx2"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "qPCR_mastersheet_mod_no-CoV2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529823/qPCR_mastersheet_mod_no-CoV2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-06",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.120008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Niagara River Trib Sample Data FINAL.xlsx",
      "description": "Tables with data on the macroinvertebrate communities at multiple sites. Data list how many individuals of each of several taxa were retrieved from each site/ station. \n\nThis dataset is associated with the following publication:\nYeardley, R., B. Duffy, K. Kimbrough, J. Lazorchak, M. Mills, and E. Johnson. A Comparison of Two Macroinvertebrate Multi-Plate Sampling Methods to Inform Great Lakes Monitoring and Remediation Efforts.   Journal of Environmental Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 14(12): 933-953, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527705",
      "keyword": [
        "macroinvertebrate",
        "Hester-Dendy",
        "Great Lakes",
        "multi-plate",
        "methods",
        "remediation",
        "samplers",
        "monitoring"
      ],
      "contactPoint": {
        "fn": "Roger Yeardley",
        "hasEmail": "mailto:yeardley.roger@epa.gov"
      },
      "distribution": [
        {
          "title": "Niagara River Trib Sample Data FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527705/Niagara%20River%20Trib%20Sample%20Data%20FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-13",
      "references": [
        "https://doi.org/10.4236/jep.2023.1412052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates",
      "description": "Dataset for 'Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates' published in Toxicology December 2023, DOI https://doi.org/10.1016/j.tox.2023.153694. \n\nThis dataset is associated with the following publication:\nHarrill, J., L. Everett, D. Haggard, J. Bundy, C. Willis, I. Shah, K. Friedman, D. Basili, A. Middleton, and R. Judson. Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 501: 153694, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529903",
      "keyword": [
        "New Approach Methods (NAMs)",
        "point of departure",
        "in vitro",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249377",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249377",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64be8d55e4b08a6b5a432a34&page=0",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64be8d55e4b08a6b5a432a34&page=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-26",
      "references": [
        "https://doi.org/10.1016/j.tox.2023.153694"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2018 CSMI LAKE ONTARIO LOWER FOOD AQUATIC WEB ASSESSMENT - Total Phosphorous Data",
      "description": "Lake Ontario open lake and nearshore phosphorus data in support of developing a model and manuscript. \n\nThis dataset is associated with the following publication:\nPauer, J., W. Melendez, T. Hollenhorst, D. Woodruff, and T. Brown. A modeling study to determine the contribution of interbasin versus intrabasin phosphorus loads on the southwestern nearshore of Lake Ontario.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 48(2): 343-358, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520668",
      "keyword": [
        "Lake Ontario",
        "total phosphorus",
        "nearshore",
        "mathematical model"
      ],
      "contactPoint": {
        "fn": "James Pauer",
        "hasEmail": "mailto:pauer.james@epa.gov"
      },
      "distribution": [
        {
          "title": "CSMI_WQ2018GLTEDdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520668/CSMI_WQ2018GLTEDdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-01-12",
      "references": [
        "https://doi.org/10.1016/j.jglr.2021.09.014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Case study in 21st century ecotoxicology:  Using in vitro aromatase inhibition data to predict reproductive outcomes in fish, in vivo.",
      "description": "Data set includes empirical results from 60 h, 10 d, and 21 d exposures of female fathead minnows to the fungicide imazalil as well as simulations from predictive models anchored to an established adverse outcome pathway (https://aopwiki.org/aops/25). Contents are organized into multiple tabs:\n(1) Simulated effects on plasma 17b-estradiol and vitellogenin used to inform experimental design. (2) Model simulations based on nominal concentrations used in the 60 h, 10 d, and 21 d exposures. (3) Biological effects data from the 60 h experiment. (4) Analytical exposure verification from the 60 h experiment. (5) Biological effects data from the 10 d exposure. (6) Biological effects data from 21 d exposure. (7) Analytical exposure verification from the 10 d and 21 d exposures. (8) Reproduction data from the 10 d and 21 d exposures. (9) Simulated reproduction results based on nominal exposure concentrations used in the 10 d and 21 d exposures. (10) Histopathology evaluations for selected females from the 10 d and 21 d exposures. \n\nThis dataset is associated with the following publication:\nVilleneuve, D., B. Blackwell, C. Blanksma, J. Cavallin, W. Cheng, R. Conolly, K. Conrow, D. Feifarek, L. Heinis, K. Jensen, M. Kahl, R. Milsk, S. Poole, E. Randolph, T. Saari, K. Watanabe, and G. Ankley. Case Study in 21st-Century Ecotoxicology: Using In Vitro Aromatase Inhibition Data to Predict Reproductive Outcomes in Fish In Vivo.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(1): 100-116, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526378",
      "keyword": [
        "New Approach Methods (Alternatives to Animal Testi",
        "endocrine disruption",
        "Adverse Outcome Pathways (AOPs)",
        "reproduction",
        "aquatic"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Aromatase inhib QAOP MS Part 2 Science Hub_v4_2022-04-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526378/Aromatase%20inhib%20QAOP%20MS%20Part%202%20Science%20Hub_v4_2022-04-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-23",
      "references": [
        "https://doi.org/10.1002/etc.5504"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Complex Mixture Toxicity: An Effects-Driven Analysis in the Milwaukee Estuary (WI, USA) ",
      "description": "Anthropogenic activities introduce complex mixtures into aquatic environments, necessitating the evaluation of mixture toxicity during ecological risk assessments. There are many new approach methodologies (NAMs) that can be used to complement traditional approaches for conducting mixture assessments. This study aimed to demonstrate how traditional approaches and NAMs can be integrated and employed for mixture evaluation in a target watershed. Assessments were carried out over two years (2017 – 2018) across 8 – 11 study sites in the Milwaukee Estuary (WI, USA). Whole mixtures were evaluated on a site-specific basis by deploying caged fathead minnows (Pimephales promelas) alongside composite samplers for 96-h and characterizing chemical composition, in vitro bioactivity, and in vivo effects in collected water and tissue samples. Chemicals were grouped based on structure/mode of action, bioactivity, and pharmacological actions. Significant chemical/mixtures were identified by assessing contributions to cumulative toxicity units (maximum cumulative ratio analyses) and predictive relationships with measured effects (random Forest regression). Whole mixture assessments identified specific target sites for further evaluation in the Milwaukee Estuary, including four sites impacted by industrial chemical/fuel/polycyclic aromatic hydrocarbon mixtures, four sites impacted by pharmaceutical mixtures, two sites requiring further experimental evaluation, and one low impact site. Constituent-based and predictive analyses identified twelve mixtures and twelve chemicals which significantly contributed to and/or predicted cumulative effects, thus representing priority targets for further ecotoxicological evaluation, monitoring, or regulatory assessment. Overall, this study represents an important complement to single-chemical prioritizations, providing a more comprehensive evaluation of cumulative effects of chemicals detected in a target watershed. Furthermore, it demonstrates diverse tools and techniques that can be employed and adapted for future mixture risk assessments in aquatic environments. \n\nThis dataset is associated with the following publication:\nMaloney, E., D. Villeneuve, K. Jensen, B. Blackwell, M. Kahl, S. Poole, K. Vitense, D. Feifarek, G. Patlewicz, K. Dean, C. Tilton, E. Randolph, J. Cavallin, C. Lalone, D. Blatz, C. Schaupp, and G. Ankley. Evaluation of Complex Mixture Toxicity in the Milwaukee Estuary (WI, USA) Using Whole-Mixture and Component-Based Evaluation Methods.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(6): 1229-1256, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527630",
      "keyword": [
        "screening",
        "chemical mixtures",
        "restoration",
        "Great Lakes Restoration Initiative",
        "Ambient Water"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Milwaukee_Mixtures_Sci_Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527630/Milwaukee_Mixtures_Sci_Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-27",
      "references": [
        "https://doi.org/10.1002/etc.5571"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pilot testing and optimization of a larval fathead minnow high throughput transcriptomics assay",
      "description": "The present study describes pilot testing of a high throughput compatible transcriptomics assay with larval fathead minnows. One day post hatch fathead minnows were exposed to eleven different concentrations of three metals, three selective serotonin reuptake inhibitors, and four neonicotinoid-like compounds for 24 h and concentration response modeling was applied to whole body gene expression data. Transcriptomics-based points of departure (tPODs) were consistently lower than effect concentrations reported in apical endpoint studies in fish. However, larval fathead minnow-based tPODs were not always lower than concentrations reported to elicit apical toxicity in other aquatic organisms like crustaceans or insects. Random in silico subsampling of data from the pilot assays was used to evaluate various assay design and acceptance considerations such as transcriptome coverage, number of replicate individuals to sequence per treatment, and minimum number of differentially expressed genes to produce a reliable tPOD estimate. \n\nThis dataset is associated with the following publication:\nVilleneuve, D., M. Le, M. Hazemi, A. Biales, D. Bencic, K. Bush, R. Flick, J. Martinson, M. Morshead, K. Santana Rodriguez, K. Vitense, and K. Flynn. Pilot testing and optimization of a larval fathead minnow high throughput transcriptomics assay.   Current Research in Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 100099, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527818",
      "keyword": [
        "screening and prioritization",
        "aquatic ecosystems",
        "New Approach Methods (Alternatives to Animal Testi",
        "computational toxicology",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE207231",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE207231",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://clowder.edap-cluster.com/datasets/62e9145ae4b055edffc06b34",
          "accessURL": "https://clowder.edap-cluster.com/datasets/62e9145ae4b055edffc06b34",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-09",
      "references": [
        "https://doi.org/10.1016/j.crtox.2022.100099",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816907"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1527818/documents/ORD-049387%20Data%20dictionary%20and%20mapping_v5.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting amphibian thyroid model parameterization",
      "description": "This dataset was generated to support parameterization of a larval amphibian thyroid axis computational model. Specifically, plasma iodine levels were determined not only to inform a concentration value for model parameter specification in the model, but also to support the notion that aquatic and terrestrial species should be considered substantially different with regard to circulating iodide levels. Other computational model physical parameters were informed by evaluating Xenopus laevis thyroid gland histological images for morphological features including thyroid follicular cell numbers and areas. \n\nThis dataset is associated with the following publication:\nHaselman, J., J. Nichols, K. Mattingly, M. Hornung, and S. Degitz. A biologically based computational model for the hypothalamic-pituitary-thyroid (HPT) axis in Xenopus laevis larvae.   MATHEMATICAL BIOSCIENCES. Elsevier Science Ltd, New York, NY, USA, 362: 109021, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527937",
      "keyword": [
        "computational toxicology",
        "endocrine",
        "modeling",
        "thyroid"
      ],
      "contactPoint": {
        "fn": "Jonathan Haselman",
        "hasEmail": "mailto:haselman.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Haselman_et_al_2022_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527937/Haselman_et_al_2022_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-09",
      "references": [
        "https://doi.org/10.1016/j.mbs.2023.109021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "combined canonical pathways for nano Cu and CuCl2 from IPA. data for table 2, 3,4 ,5",
      "description": "canonical pathways for each concentration of nano Cu and CuCl2 after upload the DEG lists of each concentration to Ingenuity Pathway Analysis",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518401",
      "keyword": [
        "nano Cu",
        "transcriptomics",
        "microRNA expression",
        "HepG2 cells",
        "signaling pathways",
        "microRNA target filter analysis"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "combined canonical pathway for nano Cu.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518401/combined%20canonical%20pathway%20for%20nano%20Cu.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Review of per- and polyfluoroalkyl substances (PFAS) bioaccumulation in earthworms",
      "description": "Supplementary materials for \"Lawrence P. Burkhard, Lauren K. Votava, Review of per- and polyfluoroalkyl substances (PFAS) bioaccumulation in earthworms, Environmental Advances, Volume 11, 2023, 100335, ISSN 2666-7657, https://doi.org/10.1016/j.envadv.2022.100335.\". \n\nThis dataset is associated with the following publication:\nBurkhard, L., and L. Votava. Review of per- and polyfluoroalkyl substances (PFAS) bioaccumulation in earthworms.   Environmental Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 11: 100335, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529948",
      "keyword": [
        "PFAS",
        "oligochaetes",
        "bioaccumulation",
        "earthworms"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary materials 2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529948/Supplementary%20materials%202.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary materials 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529948/Supplementary%20materials%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-12-14",
      "references": [
        "https://doi.org/10.1016/j.envadv.2022.100335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The combined effects of temperature and fragment area on the demographic rates of an Afrotropical bird community over 34 years",
      "description": "Method to access data for \"Montague H.C. Neate-Clegg, Matthew A. Etterson, Morgan W. Tingley, William D. Newmark,\nThe combined effects of temperature and fragment area on the demographic rates of an Afrotropical bird community over 34 years, Biological Conservation, Volume 282, 2023, 110051, ISSN 0006-3207, https://doi.org/10.1016/j.biocon.2023.110051.\". This dataset is not publicly accessible because: N/A. It can be accessed through the following means: To request data, email monteneateclegg@gmail.com at UCLA. Format: N/A. \n\nThis dataset is associated with the following publication:\nNeate-Clegg, M., M. Etterson, M. Tingley, and W. Newmark. The combined effects of temperature and fragment area on the demographic rates of an Afrotropical bird community over 34 years.   BIOLOGICAL CONSERVATION. Elsevier Science Ltd, New York, NY, USA, 282: 110051, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529950",
      "keyword": [
        "Apparent survival",
        "climate change",
        "Habitat loss",
        "Population growth rate",
        "recruitment",
        "Tropical mountain"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2023-04-01",
      "references": [
        "https://doi.org/10.1016/j.biocon.2023.110051"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Models Used to Predict Chemical Bioaccumulation in Fish from in Vitro Biotransformation Rates Require Accurate Estimates of Blood–Water Partitioning and Chemical Volume of Distribution",
      "description": "Supporting information in \"Saunders, L.J. and Nichols, J.W. (2023), Models Used to Predict Chemical Bioaccumulation in Fish from in Vitro Biotransformation Rates Require Accurate Estimates of Blood–Water Partitioning and Chemical Volume of Distribution. Environ Toxicol Chem, 42: 33-45. https://doi.org/10.1002/etc.5503\". \n\nThis dataset is associated with the following publication:\nSaunders, L., and J. Nichols. Models Used to Predict Chemical Bioaccumulation in Fish from in Vitro Biotransformation Rates Require Accurate Estimates of Blood–Water Partitioning and Chemical Volume of Distribution.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(1): 33-45, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529949",
      "keyword": [
        "bioaccumulation",
        "biotransformation",
        "in vitro-in vivo extrapolation",
        "nonspecific binding",
        "partitioning",
        "volume of distribution"
      ],
      "contactPoint": {
        "fn": "Michael Hornung",
        "hasEmail": "mailto:hornung.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529949/Supporting%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529949/Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-10-15",
      "references": [
        "https://doi.org/10.1002/etc.5503"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds",
      "description": "- Text description of regulatory methods for estimating nectar and pollen concentrations from soil applications and seed treatments; \n- Table S1: Parameter set for imidacloprid used for simulations to assess the relative risk of neonicotinoid pesticides to hummingbirds.\n- Table S2: Full sensitivity results for ruby-throated hummingbird exposure to imidacloprid simulation\n- Table S3: Data used for estimating the Mineau scaling factor for imidacloprid. \n\nThis dataset is associated with the following publication:\nEtterson, M., E. Paulukonis, and S. Purucker. Using Pop-GUIDE to Assess the Applicability of MCnest for Relative Risk of Pesticides to Hummingbirds.   Ecologies. MDPI, Basel,  SWITZERLAND, 4(1): 171-194, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529953",
      "keyword": [
        "MCnest",
        "Hummingbird",
        "Pop GUIDE",
        "Trochilidae",
        "Avian Pollinator"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Materials.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529953/Supplementary%20Materials.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-22",
      "references": [
        "https://doi.org/10.3390/ecologies4010013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Weight of evidence for cross-species conservation of androgen receptor-based biological activity",
      "description": "Figures, tables, data for \"Sara M F Vliet, Kristan J Markey, Scott G Lynn, Anna Adetona, Dawn Fallacara, Patricia Ceger, Neepa Choksi, Agnes L Karmaus, AtLee Watson, Andrew Ewans, Amber B Daniel, Jonathan Hamm, Kelsey Vitense, Kaitlyn A Wolf, Amy Thomas, Carlie A LaLone, Weight of evidence for cross-species conservation of androgen receptor-based biological activity, Toxicological Sciences, Volume 193, Issue 2, June 2023, Pages 131–145, https://doi.org/10.1093/toxsci/kfad038\". \n\nThis dataset is associated with the following publication:\nVliet, S., K. Markey, S. Lynn, A. Adetona, D. Fallacara, P. Ceger, N. Choski, A. Karmaus, A. Watson, A. Ewans, A. Daniel, J. Hamm, K. Vitense, K. Wolf, A. Thomas, and C. Lalone. Weight of evidence for cross-species conservation of androgen receptor-based biological activity.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  193(2): 131-145, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529954",
      "keyword": [
        "Computational Analysis",
        "Cross species extrapolation",
        "endocrine disrupting chemicals",
        "Systematic Literature Review",
        "weight of evidence",
        "Androgen receptor"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529954/Supplemental%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529954/Supplemental%20Table.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.22272439.v1",
          "accessURL": "https://doi.org/10.23645/epacomptox.22272439.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-18",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad038"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate Change, Extreme Events, and Their Potential Effects on Aboveground Storage Tanks (AST) Data Set",
      "description": "Dataset for journal article \"Climate Change, Extreme Events, and Their Potential Effects on Aboveground Storage Tanks\" published in EM Magazine in September 2023.  The dataset describes calculations for predicted emissions based on AP-42, Chapter 7, and the TankESP software from Trinity Consultants.  The calculations are detailed for aboveground storage tanks at various temperatures, wind speeds, and maintenance conditions for an example tank storing gasoline in Greensboro, NC.  The dataset also describes the composition of the gasoline used in the example calculations.  A glossary of abbreviations is also provided.  The same dataset was used to produce a two-page summary report, Community Vulnerabilities at Aboveground Storage Tanks Due to Climate Change and Extreme Events. \n\nThis dataset is associated with the following publication:\nSmith, R.L., J. Terriquez, E. Thoma, M.A. Gonzalez, D. Johnson, H. Buenning, F. Kremer, J.D. Carpenter, and N.N. Clark. Climate Change, Extreme Events, and Their Potential Effects on Aboveground Storage Tanks.   EM:  AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, USA,  1-6, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529958",
      "keyword": [
        "emissions",
        "Extreme Events",
        "Aboveground Storage Tanks",
        "climate change",
        "gasoline"
      ],
      "contactPoint": {
        "fn": "Raymond Smith",
        "hasEmail": "mailto:smith.raymond@epa.gov"
      },
      "distribution": [
        {
          "title": "ClimateChangeExtremeEventsAndTheirPotentialEffectsOnAbovegroundStorageTanks_AST_DataSet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529958/ClimateChangeExtremeEventsAndTheirPotentialEffectsOnAbovegroundStorageTanks_AST_DataSet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-20",
      "references": [
        "https://www.awma.org/content.asp?admin=Y&contentid=836"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GLRI-Contaminants of emerging concern and biological effects database",
      "description": "This subproduct is a database of multiagency data, funded as part of the Great Lakes Restoration Initiative (GLRI), to monitor and assess potential exposure and effects of chemicals of emerging concern (CECs) on aquatic and other wildlife in the Great Lakes. This database includes environmental contaminant occurrence data and biological indicator data from Army Corps of Engineers, NOAA, US EPA, US FWS, and USGS.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527944",
      "keyword": [
        "Great Lakes",
        "database",
        "biological indicators",
        "environmental contaminants"
      ],
      "contactPoint": {
        "fn": "Brett Blackwell",
        "hasEmail": "mailto:blackwell.brett@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/spaces/6180851fe4b07e4aef62b089",
          "accessURL": "https://clowder.edap-cluster.com/spaces/6180851fe4b07e4aef62b089",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-02-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vapor Intrusion Potential of Select Per- and Polyfluoroalkyl Substances",
      "description": "Certain per- and polyfluoroalkyl substances (PFAS) have sufficient vapor pressures to be designated as vapor-forming chemicals and; thus, be a concern for vapor intrusion into the indoor air of residences and buildings overlying a contaminated soil or groundwater source. Multiple PFAS species, both neutral (e.g., fluorotelomer alcohols) and ionic (e.g., perfluoroalkyl carboxylic acids), were found in the groundwater, soil, soil gas, and subslab soil gas. With the presence of PFAS in these matrices, a vapor intrusion pathway has been established. This initial research effort provides regulators with scientific evidence that will help them decide whether VI should be evaluated at the hundreds of sites where PFAS are reasonably expected to have been released to the subsurface. \n\nThis dataset is associated with the following publications:\nSchumacher, B., J. Zimmerman, A. Williams, C. Lutes, C. Holton, E. Escobar, H. Hayes, and R. Warrier. Distribution of select per- and polyfluoroalkyl substances at a chemical manufacturing plant.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 464: 133025, (2024).\nSchumacher, B., J. Zimmerman, K. Bronstein, R. Warrier, C. Lutes, E. Escobar, and A. Williams. Subsurface Per- and Polyfluoroalkyl Substances (PFAS) Distribution at Two Contaminated Sites. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528416",
      "keyword": [
        "soil",
        "groundwater",
        "PFAS",
        "perfluorinated carboxylic acids",
        "soil gas",
        "fluorotelomer alcohols",
        "subslab gas",
        "vapor intrusion",
        "FTOH"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS_ORD_Chemours 2-2-2022 CL reformat and blanks filled in May 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528416/PFAS_ORD_Chemours%202-2-2022%20CL%20reformat%20and%20blanks%20filled%20in%20May%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-14",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2023.133025",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10734402"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dermal and oral exposure risks to heavy metals from 3D Printing metal-fill thermoplastics-Data Set",
      "description": "Data that was used to generate the figures in Wade, A.M., D.M. Peloquin, J.M. Matheson, and T.P. Luxton (2023) Dermal and oral exposure risks to heavy metals from 3D printing metal-fill thermoplastics. Science of The Total Environment. 903: p. 166538. \n\nThis dataset is associated with the following publication:\nWade, A.M., D.M. Peloquin, J.M. Matheson, and T.P. Luxton. Dermal and oral exposure risks to heavy metals from 3D printing metal-fill thermoplastics.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 903: 166538, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529110",
      "keyword": [
        "Children's Environmental Health",
        "plastics",
        "dermal exposure",
        "Fused Filament Fabrication",
        "metals",
        "metal speicaiton",
        "Hazardous Additives",
        "Additive Manufacturing"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "05_30_23_Metals_draft.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529110/05_30_23_Metals_draft.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.166538",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653099",
        "https://pasteur.epa.gov/uploads/10.23719/1529110/documents/Data%20for%20STOTEN2023_3Dprinting.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IPCC AR4, AR5, and AR6 20-, 100-, and 500-year GWPs",
      "description": "The International Panel for Climate Change (IPCC) produces regular Assessment Reports that provide global warming potentials (GWPs) for greenhouse gases (GHG) in the context of multiple time horizons including 20, 100, and 500 years. The GWPs (in kg CO2-equivalent per kg GHG) can be multiplied by kg GHGs emitted for use in estimating CO2-equivalent (CO2e) impacts of GHGs emitted. In the context of life cycle assessment (LCA) , the GWPs can be used as characterization factors in of the life cycle impact assessment. This dataset provides 20- (GWP-20), 100- (GWP-100) and 500-year (GWP-500) GWPs from the 4th (AR4), 6th (AR6) IPCC assessment reports, and 20- (GWP-20) and 100-year (GWP-100) GWPs from the 5th (AR5) report (AR5 provided no 500 yr GWPs). Datasets are provided in simple tables in Excel, in the openLCA JSON-LD format compliant with the U.S. Federal LCA Commons standards, and in Apache parquet format for the most efficient import into applications or scripts using languages like Python and R. The names for GHGs are from the Federal LCA Elementary Flow List (FEDEFL) v1.2, which are names preferred for this GHGs in the USEPA's Substance Registry Service. These datasets were created using the LCIA Formatter v1.1.1 (https://github.com/USEPA/LCIAformatter).  The GWP values are provided in these formats for convenient use; the values have not been altered from the values reported in the Assessment Reports. \nPython code used to produce the data is available in a github gist under the supporting data links along with dataset metadata from the LCIA formatter.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529821",
      "keyword": [
        "Global Warming Potential",
        "Greenhouse gas",
        "International Panel for Climate Change",
        "AR4",
        "AR5",
        "AR6",
        "FEDEFL",
        "openLCA"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ipcc/IPCC_v1.1.1_27ba917.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ipcc/IPCC_v1.1.1_27ba917.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IPCC_FEDEFL_JSON-LD_no_flows.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529821/IPCC_FEDEFL_JSON-LD_no_flows.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IPCC_AR4-AR6_GWPs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529821/IPCC_AR4-AR6_GWPs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-01",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/lciafmt/ipcc/IPCC_v1.1.1_27ba917_metadata.json",
        "https://gist.github.com/WesIngwersen/90fcb8be085c8554231913188577876e"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A compartment model to predict in vitro finite dose absorption of chemicals by human skin",
      "description": "Supplementary data for \"H.A. Fisher, M.V. Evans, A.L. Bunge, E.A. Cohen Hubal, D.A. Vallero, A compartment model to predict in vitro finite dose absorption of chemicals by human skin, Chemosphere, Volume 349, 2024, 140689, ISSN 0045-6535, https://doi.org/10.1016/j.chemosphere.2023.140689.\". \n\nThis dataset is associated with the following publication:\nFisher, H., M. Evans, A. Bunge, E. Cohen-Hubal, and D. Vallero. A compartment model to predict in vitro finite dose absorption of chemicals by human skin.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 349: 140689, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529955",
      "keyword": [
        "Fick's law of diffusion",
        "mass-balance model",
        "compartmental modeling",
        "dermal absorbtion",
        "human dermal permeability",
        "in vitro model"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "SI_submission.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529955/SI_submission.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-09",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.140689"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global change scenarios in coastal deltas",
      "description": "For this study we explored future scenarios for 49 deltas, including\nthe most populated and largest coastal deltas in the world, as well as a\nrange of smaller and less populated deltas representing different climates,\nbiomes, and socio-economic development states (Fig. 2). The set\nof deltas corresponds to only a fraction of the total number of deltas\nglobally (cf. 235 large deltas of Reader et al., 2022; and the thousands of\ndeltas of Nienhuis et al., 2020), but were chosen to represent a wide\nrange of geographies and align with previous work on delta risk (Dunn\net al., 2019; Tessler et al., 2015) and the availability of limited data on\nland subsidence (Nicholls et al., 2021). For our analysis we chose a set of\n13 variables that represent various socio-economic and geophysical\npressures on deltas and are indicators of the different components of\ndelta risk as defined by Tessler et al. (2015) (Table 1). \n\nThis dataset is associated with the following publication:\nScown, M., F. Dunn, S. Dekker, D. van Vuuren, S. Karabil, E. Sutanudjaja, M. Santos, P. Minderhoud, A. Garmestani, and H. Middelkoop. Global change scenarios in coastal deltas and their sustainable development implications.   Global Environmental Change. Elsevier B.V., Amsterdam,  NETHERLANDS,  14, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529592",
      "keyword": [
        "climate change",
        "coastal",
        "Scenario",
        "Deltas",
        "floodplains"
      ],
      "contactPoint": {
        "fn": "Ahjond Garmestani",
        "hasEmail": "mailto:garmestani.ahjond@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.gloenvcha.2023.102736",
          "accessURL": "https://doi.org/10.1016/j.gloenvcha.2023.102736",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-15",
      "references": [
        "https://doi.org/10.1016/j.gloenvcha.2023.102736",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483986"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds",
      "description": "Supplementary data for \"Ring C, Blanchette A, Klaren WD, Fitch S, Haws L, Wheeler MW, DeVito M, Walker N, Wikoff D. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regul Toxicol Pharmacol. 2023 Sep;143:105464. doi: 10.1016/j.yrtph.2023.105464. Epub 2023 Jul 27. PMID: 37516304.\". Portions of this dataset are inaccessible because: Available on request from Daniele Wikoff. They can be accessed through the following means: Available on request from dwikoff@toxstrategies.com. Format: N/A. \n\nThis dataset is associated with the following publication:\nRing, C., A. Blanchette, W. Klaren, S. Fitch, L. Haws, M. Wheeler, M. Devito, N. Walker, and D. Wikoff. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 143: 105464, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529962",
      "keyword": [
        "relative estimated potency",
        "toxic equivalency factors",
        "dioxin-like compounds",
        "Environmental Justice",
        "Children's Environmental Health",
        "bayesian approach"
      ],
      "contactPoint": {
        "fn": "Michael Devito",
        "hasEmail": "mailto:devito.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0273230023001320-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529962/1-s2.0-S0273230023001320-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0273230023001320-mmc3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529962/1-s2.0-S0273230023001320-mmc3.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0273230023001320-mmc2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529962/1-s2.0-S0273230023001320-mmc2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-25",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2023.105464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2012-2020 Greenhouse Gas National- and State-Level Emission Totals by Industry",
      "description": "These data represent annual greenhouse gas (GHG) emission totals by industry sectors and households for the total U.S. and by state, for years 2012 to 2020. Industry sectors are defined by North American Industry Classification System (NAICS) 2012 codes, with additional codes added for households and government.\nEmissions of 16 different GHGs, which are the same GHGs as reported in the U.S. GHG Inventory, are included. \nValues are given in total kilograms emitted for the given year, sector and location.\n\nData are provided in two alternative formats, as Excel files and as Apache parquet files.\nThe Excel files include:\n1) GHGs by 114 aggregate level sectors by state and year,\n2) GHGs by 114 aggregate level sectors by year for the U.S., and\n3) GHGs by 540 detailed sectors by year for the U.S. \nThe Excel files use a simplified version (not all fields included) of the Flow-by-Sector format (see link to format specification below). \nThe parquet files align with the Excel files except are also separated by year, and provide the complete flow by sector format, where files with \"state_m1\" correspond to the aggregate level state datasets, files with \"national_m1\" correspond to the aggregate level national dataset, and files with \"national_m2\" correspond to the aggregate level state datasets, \nStandard metadata files in JSON format, and log and validation files in text format (with .log extension) are provided for each parquet file. \n\nThe data are a product of updated sector attribution models that improve upon the National Greenhouse Gas Industry Attribution Model.  \n The models used to generate the national aggregate and the state datasets are sector attribution models coded in the FLOWSA v2.0.0 tool (https://github.com/USEPA/flowsa/tree/v2.0.0). The national detailed datasets are developed with FLOWSA v2.0.1 (https://github.com/USEPA/flowsa/tree/v2.0.1).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529805",
      "keyword": [
        "GHGs",
        "NAICS",
        "CO2 emissions",
        "Methane Emission",
        "nitrous oxide (N2O)",
        "CFCs",
        "HFCs",
        "national emissions",
        "sector attribution model",
        "FLOWSA",
        "environmental-economic accounts",
        "greenhouse gas emissions",
        "national totals by industry"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "GHGs_by_Sector_and_State_2012-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529805/GHGs_by_Sector_and_State_2012-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GHGs_by_Detailed_Sector_US_2012-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529805/GHGs_by_Detailed_Sector_US_2012-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GHGs_by_Aggregate_Sector_US_2012-2020.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529805/GHGs_by_Aggregate_Sector_US_2012-2020.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-11",
      "references": [
        "https://github.com/USEPA/flowsa/blob/v2.0.1/format%20specs/FlowBySector.md",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m2_v2.0.1_1d3a514.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m2_v2.0.1_1d3a514.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m2_v2.0.1_1d3a514_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m2_v2.0.1_1d3a514_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2012_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2012_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2012_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2012_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.0_a8c5929_validation.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.0_a8c5929.log",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.0_a8c5929.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.0_a8c5929_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.0_a8c5929_validation.log"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "3D Printers Emissions of Environmentally Persistent Free Radicals (EPFRs)",
      "description": "Polymers used in 3D printing are known to emit hazardous materials when heated. While the emissions from pristine polymers and some filaments have been studied, many filaments contain additives that may influence their hazardous emissions. This research used a variety of commercially-available 3D printer filaments to assess the possibly formation of environmentally persistent free radicals (EPFRs), a class of surface-bound free radicals that have much longer lifetimes compared to their gas-phase counterparts. Electron paramagnetic resonance (EPR) spectroscopy was used to successfully identify EPFRs in particulate matter collected during regular 3D printer use. These findings should influence future studies on 3D printer emissions to include consideration of EPFR formation. These methodologies may be used by EPA's Chemical Safety and Pollution Prevention (OCSPP), Consumer Protection and Safety Commission (CPSC), and National Institute of Occupational of Safety and Health (NIOSH). \n\nThis dataset is associated with the following publication:\nHasan, F., P.M. Potter, S.R. Al-Abed, J. Matheson, and S.M. Lomnicki. Investigating environmentally persistent free radicals (EPFRs) emissions of 3D printing process.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 480: 148158, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529613",
      "keyword": [
        "indoor air quality",
        "3D Prining",
        "Emerging Contaminant",
        "electron paramagnetic resonance spectroscopy"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "ABS-Blue_Raw Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529613/ABS-Blue_Raw%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ABS-Black_Raw Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529613/ABS-Black_Raw%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-29",
      "references": [
        "https://doi.org/10.1016/j.cej.2023.148158",
        "https://pasteur.epa.gov/uploads/10.23719/1529613/documents/Supporting%20Information_EPFR%20Manuscript.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hamilton et al. 2023 A voucher flora of diatoms from fens in the Tanana River floodplain, Alaska",
      "description": "Supporting information for Hamilton et al. 2023, File S1: taxonomic authority references; Table S1: species information. \n\nThis dataset is associated with the following publication:\nHamilton, V., S. Lee, A. Rober, P. Furey, K. Manoylov, and K. Wyatt. A voucher flora of diatoms from fens in the Tanana River floodplain, Alaska..   WATER. MDPI, Basel,  SWITZERLAND, 15: 2803, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529965",
      "keyword": [
        "voucher flora",
        "Alaska",
        "diatoms",
        "wetlands",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mdpi.com/article/10.3390/w15152803/s1",
          "accessURL": "https://www.mdpi.com/article/10.3390/w15152803/s1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-02",
      "references": [
        "https://doi.org/10.3390/w15152803",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10750759"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scenario Planning Management Actions to Restore Cold Water Stream Habitat Data",
      "description": "This data repository holds modeling inputs and output from a project that compared various restoration and management actions influence on stream temperature. Three study systems were used in this effort that include the Middle Fork John Day River, South Fork Nooksack River, and Wind River basins of Oregon and Washington states in the USA. The spatial stream network (SSN) models used in this project were previously developed and published in the Journal of American Water Resources Research (doi: 10.1111/1752-1688.13158). These models were used to make predictions in each study basin that reflected restoration and management goals within each system. The predictions for temperature changes were then compared individually as well as in a combined management activity scenario. This repository holds the input data for the SSN models as well as the prediction output from each modeling scenario for each basin. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529829",
      "keyword": [
        "stream temperature",
        "cold-water habitat",
        "spatial stream network model",
        "fish use thermal criteria",
        "scenario planning",
        "model averaging",
        "Environmental Restoration",
        "freshwater management",
        "Pacific Northwest"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "00ScienceHubREADME.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/00ScienceHubREADME.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/WR_900Sep_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WR_800Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/WR_800Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WR_500May_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/WR_500May_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SFNR_900Sep_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/SFNR_900Sep_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SFNR_800Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/SFNR_800Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_900Sep_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_900Sep_scenarios.zip",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_806Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_806Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_805Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_805Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_804Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_804Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_803Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_803Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_802Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_802Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_801Aug_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_801Aug_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MFJD_500May_scenarios.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/MFJD_500May_scenarios.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "00StudyBasin_README_and_metadata_directories.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529829/00StudyBasin_README_and_metadata_directories.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-05-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Upwind Barriers Mitigating the AQ Impact of Highway Em",
      "description": "Wind tunnel study of dispersion from roadway with a solid barrier upwind of the road. \n\nThis dataset is associated with the following publication:\nFrancisco, D., D. Heist, A. Venkatram, L. Brouwer, and S. Perry. Incorporating the Impact of Roadside Barrier Effects on Dispersion into AERMOD.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 74(1): Pages 39-51, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527771",
      "keyword": [
        "near-road",
        "wind tunnel",
        "Dispersion"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset D-prrq.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527771/Dataset%20D-prrq.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-19",
      "references": [
        "https://doi.org/10.1080/10962247.2023.2277754"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Composition of active bacterial communities and presence of opportunistic pathogens in Finland (S02)",
      "description": "The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529855",
      "keyword": [
        "Drinking water distribution system",
        "pathogens",
        "disinfection",
        "16S rRNA Amplicon Sequencing"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA509718",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA509718",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-12-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ecological Suitability ",
      "description": "Data represent an example calculation of ecological suitability for Pensacola and Perdido Bays.  Data used are publicly available and are presented as tables, figures and appendices in the published paper. https://doi.org/10.1016/j.ecolind.2023.110896. \n\nThis dataset is associated with the following publication:\nSmith, L., E. Reschke, J. Bousquin, L. Cheskiewicz, N. Ilias, J. Summers, and J. Harvey. Methods for a composite ecological suitability measure to inform cumulative restoration assessments in Gulf of Mexico estuaries.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 154: 1-15, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529974",
      "keyword": [
        "habitat suitability",
        "stakeholders",
        "food web relationships",
        "economic benefits",
        "ecosystem services",
        "restoration",
        "Gulf of Mexico estuaries"
      ],
      "contactPoint": {
        "fn": "Lisa Smith",
        "hasEmail": "mailto:smith.lisam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.ecolind.2023.110896.",
          "accessURL": "https://doi.org/10.1016/j.ecolind.2023.110896.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-14",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2023.110896"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Food Waste Flows Between Sectors, 2018 v1.3.2",
      "description": "These Flow-By-Sector (FBS) datasets capture food waste flows between waste-generating sectors and waste management pathways. The sectors are generally North American Industry Classification System (NAICS) 2012 codes. The first dataset, method 1 (m1), attributes food waste generation and disposition data from the USEPA Wasted Food Report to sectors. The second method, method 2 (m2), attributes wasted food data from the National Commercial Non-Hazardous Waste (CNHW) FBS dataset to sectors.\n\nThese food waste datasets were generated with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2). M1 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m1.yaml and m2 is generated with https://github.com/USEPA/flowsa/blob/v1.3.2/flowsa/methods/flowbysectormethods/Food_Waste_national_2018_m2.yaml. The metadata text files included as a supporting document records the FLOWSA tool version and input dataset bibliographic details. The CNHW data were generated in FLOWSA v1.3.0, with the method file https://github.com/USEPA/flowsa/blob/v1.3.0/flowsa/methods/flowbysectormethods/CNHW_national_2018.yaml.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529936",
      "keyword": [
        "sector attribution model",
        "NAICS",
        "FLOWSA",
        "Waste Management",
        "Wasted Food Report"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "Food_Waste_national_2018_m2_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529936/Food_Waste_national_2018_m2_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Food_Waste_national_2018_m1_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529936/Food_Waste_national_2018_m1_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-14",
      "references": [
        "https://figshare.com/articles/figure/_/24681378/0",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Food_Waste_national_2018_m1_v1.3.2_9b1bb41.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Food_Waste_national_2018_m1_v1.3.2_9b1bb41_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Food_Waste_national_2018_m2_v1.3.2_9b1bb41.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Food_Waste_national_2018_m2_v1.3.2_9b1bb41_metadata.json"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.2/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Concrete Waste Flows Between Sectors, 2018 v1.3.2",
      "description": "This dataset contains 2018 national concrete waste flows from waste-generating sectors to waste management pathways. The sectors are based on North American Industry Classification System (NAICS) 2012 codes. \n\nThese dataset was generated in FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) with https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/CDD_concrete_national_2018.yaml. The metadata text files included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529937",
      "keyword": [
        "sector attribution model",
        "NAICS",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "CDD_concrete_national_2018_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529937/CDD_concrete_national_2018_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-14",
      "references": [
        "https://figshare.com/articles/figure/_/24681357/0",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CDD_concrete_national_2018_v1.3.2_9b1bb41.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CDD_concrete_national_2018_v1.3.2_9b1bb41_metadata.json"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.2/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Total Waste Management by Sector and Material, 2018 v1.3.2",
      "description": "This Flow-By-Sector (FBS) dataset quantifies waste management for U.S. generated waste by waste management pathway and 13 waste materials. The waste management pathways are assigned sector codes based on North American Industry Classification System (NAICS) 2012 codes. \n\nThis FBS was generated in FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) using the method file https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/Waste_national_2018.yaml.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529938",
      "keyword": [
        "sector attribution model",
        "NAICS",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Waste_national_2018_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529938/Waste_national_2018_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-14",
      "references": [
        "https://figshare.com/articles/figure/_/24681297/0",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Waste_national_2018_v1.3.2_9b1bb41.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Waste_national_2018_v1.3.2_9b1bb41_metadata.json"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.2/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "U.S. Scaled WARM Waste Management by Sector and Material, 2018 v1.3.2",
      "description": "Scaled WARM is a direct impacts model of GHG emissions, Employment, Wages, and Taxes attributed to material-specific waste management pathways. The waste management pathways are based on North American Industry Classification System (NAICS) 2012 codes. \n\nThis dataset is generated by fusing material-specific factors from the USEPA Waste Reduction Model (WARM) with waste generation data from USEPA Facts and Figures, Wasted Food Report, and CDDPath. Scaled WARM is generated with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) and the method file https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/Mixed_WARM_national_2018.yaml.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529939",
      "keyword": [
        "sector attribution model",
        "NAICS",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Mixed_WARM_national_2018_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529939/Mixed_WARM_national_2018_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.2/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Employment Totals by Industry 2018 v2.0.0",
      "description": "This dataset contains 2018 national employment by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSA v2.0.0 (https://github.com/USEPA/flowsa/releases/tag/v2.0.0) and the method file https://github.com/USEPA/flowsa/blob/v2.0.0/flowsa/methods/flowbysectormethods/Employment_national_2018.yaml. The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529941",
      "keyword": [
        "sector attribution model",
        "NAICS",
        "FLOWSA"
      ],
      "contactPoint": {
        "fn": "Catherine Birney",
        "hasEmail": "mailto:birney.catherine@epa.gov"
      },
      "distribution": [
        {
          "title": "Employment_national_2018_v2.0.0_372aab5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529941/Employment_national_2018_v2.0.0_372aab5.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-17",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Employment_national_2018_v2.0.0_372aab5.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/Employment_national_2018_v2.0.0_372aab5_metadata.json"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v2.0.0/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Commercial Non-Hazardous Waste Totals by Industry 2018 v1.3.0",
      "description": "This dataset contains 2018 national Commercial Non-Hazardous Waste by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSA v1.3.0 (https://github.com/USEPA/flowsa/tree/v1.3.0) and the method file https://github.com/USEPA/flowsa/blob/v1.3.0/flowsa/methods/flowbysectormethods/CNHW_national_2018.yaml. The metadata text file included as a supporting document records the FLOWSA tool version and input dataset bibliographic details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529942",
      "keyword": [
        "sector attribution model",
        "FLOWSA",
        "NAICS"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "CNHW_national_2018_v1.3.0_4efcd5a.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529942/CNHW_national_2018_v1.3.0_4efcd5a.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-02",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CNHW_national_2018_v1.3.0_4efcd5a.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/CNHW_national_2018_v1.3.0_4efcd5a_metadata.json"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.0/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "National Recycling Economic Indicators 2012 v1.3.2",
      "description": "National economic indicators for recycling sectors, generally North American Industry Classification System (NAICS) 2012 codes, using USEPA Recycling Economic Information (REI) Report as the primary data source. This dataset was developed with FLOWSA v1.3.2 (https://github.com/USEPA/flowsa/tree/v1.3.2) and the method file https://github.com/USEPA/HIO/blob/v0.1.0/flowsa/flowbysectormethods/REI_primaryfactors_national_2012.yaml.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529943",
      "keyword": [
        "sector attribution model",
        "FLOWSA",
        "NAICS"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "REI_primaryfactors_national_2012_v1.3.2_9b1bb41.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529943/REI_primaryfactors_national_2012_v1.3.2_9b1bb41.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/flowsa/blob/v1.3.2/format%20specs/FlowBySector.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Case Study Data for Separating Measurement Error and Signal in Environmental Data: Use of Replicates to Address Uncertainty (DOI 10.1021/acs.est.3c02231)",
      "description": "The two case studies used publicly available environmental data excerpted from the National Human Exposure Assessment Survey (NHEXAS) (https://github.com/USEPA/HEDS). These U.S. Environmental Protection Agency (EPA) Region 5 data were samples collected in 1995 to 1997 from the first visit, which removed temporal between-visit correlation from sites across Ohio, Michigan, Illinois, Indiana, Wisconsin, and Minnesota. The NHEXAS tap water sampling design distinguished original samples from quality control replicates, and all samples were analyzed in the same laboratory following EPA standard method 200.8 (version 4.4). The case studies analyze subsets of NHEXAS arsenic and chromium data that were selected to meet distributional assumptions and cannot be interpreted as NHEXAS analyses. \n\nThis dataset is associated with the following publication:\nFurman, M., K. Thomas, and B. George. Separating Measurement Error and Signal in Environmental Data: Use of Replicates to Address Uncertainty.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(41): 15356-15365, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529910",
      "keyword": [
        "environmental measurements sampling design",
        "measurement error model",
        "random effects model",
        "variance components",
        "latent signal mean",
        "errors in variables",
        "signal confidence interval",
        "simulation study"
      ],
      "contactPoint": {
        "fn": "Barbara George",
        "hasEmail": "mailto:george.bj@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/full/10.1021/acs.est.3c02231",
          "accessURL": "https://pubs.acs.org/doi/full/10.1021/acs.est.3c02231",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "es3c02231_si_003.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529910/es3c02231_si_003.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-31",
      "references": [
        "https://doi.org/10.1021/acs.est.3c02231",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10733784",
        "https://pasteur.epa.gov/uploads/10.23719/1529910/documents/es3c02231_si_002.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A U.S. Lead Exposure Hotspots Analysis  ",
      "description": "This is the dataset used for the U.S. lead exposure risk hotspot analysis in Zartarian et al., 2024, ES&T. The data dictionary files explain the contents of the 2 included zipped data folders. The Figures 1&2 zipped folder contains the data for Figures 1 and 2, the Supplement A figures, and the data for all tables in the paper. The Supplement B zipped folder contains the Random Forest modeling methodology in Supplement B and corresponding data. This folder also includes the full national dataset version of Random Forest model version 1 and 2 used in the analysis (in .csv format). \n\nThis dataset is associated with the following publication:\nZartarian Morrison, V., J. Xue, A. Poulakos, R. Tornero-Velez, L. Stanek, E. Snyder, V. Helms Garrison, K. Egan, and J. Courtney. A U.S. Lead Exposure Hotspots Analysis.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 7(7): 3311-3321, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529907",
      "keyword": [
        "Mapping",
        "public health",
        "Exposure predictions",
        "hotspots",
        "geospatial",
        "children's health",
        "Indicators and indices",
        "lead"
      ],
      "contactPoint": {
        "fn": "Valerie Zartarian Morrison",
        "hasEmail": "mailto:zartarian.valerie@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures_1_2_02082024.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529907/Figures_1_2_02082024.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplement B.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529907/Supplement%20B.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zartarian_et_al_2024_Data_Dictionary_Figures_1_2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529907/Zartarian_et_al_2024_Data_Dictionary_Figures_1_2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zartarian_et_al_2024_Data_Dictionary_Supp_B.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529907/Zartarian_et_al_2024_Data_Dictionary_Supp_B.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-12",
      "references": [
        "https://doi.org/10.1021/acs.est.3c07881"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metals concentrations in seagrass plant tissues.",
      "description": "Metals concentrations in seagrass plant tissues. This dataset is not publicly accessible because: Secondary data collected by non EPA authors. It can be accessed through the following means: Contact primary author. Format: Primary authors have the data associated with this manuscript. \n\nThis dataset is associated with the following publication:\nXu, S., J. Kaldy, X. Zhang, S. Yue, Z. Suonan, and Y. Zhou. Comparison of metals in eelgrass (Zostera marina L.) and the environment across the North Pacific Ocean: Environmental processes drive source delivery.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 343: 123096, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529981",
      "keyword": [
        "bioconcentration",
        "seagrass",
        "Bioindicator",
        "heavy metals"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-30",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.123096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Organophosphate pesticide manuscript dataset",
      "description": "Dataset investigating concordance between short-term transcriptomic points-of-departure and chronic points-of departure for three organophosphate pesticides across mouse and fathead minnow. Portions of this dataset are inaccessible because: The data files are too large. They can be accessed through the following means: Raw FASTQ files and raw and normalized read count matrices for the mouse liver study were submitted to the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus database (accession GSE240853). Raw FASTQ files for the fathead minnow larva study were submitted to the NCBI Sequence Read Archive (submission: SUB13852035). Format: FASTQ files from RNA-sequencing. \n\nThis dataset is associated with the following publication:\nMartin, R., M. Hazemi, K. Flynn, D. Villeneuve, and L. Wehmas. Short-Term Transcriptomic Points of Departure Are Consistent with Chronic Points of Departure for Three Organophosphate Pesticides across Mouse and Fathead Minnow.   Toxics. MDPI, Basel,  SWITZERLAND, 11(10): 820, (2023).",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
      ],
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529449",
      "keyword": [
        "transcriptomics",
        "benchmark dose response",
        "organophosphate pesticides",
        "fathead minnow",
        "mouse",
        "fenthion",
        "methidathion",
        "parathion"
      ],
      "contactPoint": {
        "fn": "Leah Wehmas",
        "hasEmail": "mailto:wehmas.leah@epa.gov"
      },
      "distribution": [
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "FHM homologs conversion to HS MM and ZF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529449/FHM%20homologs%20conversion%20to%20HS%20MM%20and%20ZF.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529449/20230927_Supplemental_Fig_1.xlsx",
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          "title": "20230927_Fig_4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529449/20230927_Fig_4.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529449/20230927_Fig_3.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529449/20230927_Fig_2.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-06",
      "references": [
        "https://doi.org/10.3390/toxics11100820",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611195"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "E-Cigarette Liquids and Aldehyde Flavoring Agents Inhibit CYP2A6 Activity in Lung Epithelial Cells",
      "description": "Method to access data for Brett R. Winters et al., 'E-Cigarette Liquids and Aldehyde Flavoring Agents Inhibit CYP2A6 Activity in Lung Epithelial Cells' in ACS Omega, Vol 8, Issue 12, pg 11261-11266, 2023; DOI https://doi.org/10.1021/acsomega.2c08258, PMC10061538. This dataset is not publicly accessible because: Data was not shared by lead author. It can be accessed through the following means: To request data, contact lead author Brett Winters at brwinters@cytokinetics.com. Format: N/A. \n\nThis dataset is associated with the following publication:\nWinters, B., P. Clapp, S. Simmons, T. Kochar, I. Jaspers, and M. Madden. E-Cigarette Liquids and Aldehyde Flavoring Agents Inhibit CYP2A6 Activity in Lung Epithelial Cells.   ACS Omega. American Chemical Society, Washington, DC, USA, 8(12): 11261-11266, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529957",
      "keyword": [
        "e-cigarette",
        "lung epithelial cells",
        "CYP2A6",
        "aldehyde"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-29",
      "references": [
        "https://doi.org/10.1021/acsomega.2c08258",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061538"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Defining the Biologically Plausible Taxonomic Domain of Applicability of an Adverse Outcome Pathway: A Case Study Linking Nicotinic Acetylcholine Receptor Activation to Colony Death",
      "description": "Supporting Information for \"Jensen, M.A., Blatz, D.J. and LaLone, C.A. (2023), Defining the Biologically Plausible Taxonomic Domain of Applicability of an Adverse Outcome Pathway: A Case Study Linking Nicotinic Acetylcholine Receptor Activation to Colony Death. Environ Toxicol Chem, 42: 71-87. https://doi.org/10.1002/etc.5501\". \n\nThis dataset is associated with the following publication:\nJensen, M., D. Blatz, and C. Lalone. Defining the Biologically Plausible Taxonomic Domain of Applicability of an Adverse Outcome Pathway: A Case Study Linking Nicotinic Acetylcholine Receptor Activation to Colony Death.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(1): 71-87, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529946",
      "keyword": [
        "adverse outcome pathway",
        "ecotoxicology",
        "Species Extrapolation",
        "Predictive Toxicology",
        "SeqAPASS",
        "pollinator",
        "bioinformatics"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529946/Supplemental%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529946/Data%20Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529946/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-12",
      "references": [
        "https://doi.org/10.1002/etc.5501",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100214"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estrogenic Activity of Perfluoro Carboxylic and Sulfonic Acids in Rainbow Trout Estrogen Receptor Binding and Liver Slice Vtg mRNA Expression Assays",
      "description": "Data for \"Estrogenic Activity of Perfluoro Carboxylic and Sulfonic Acids in Rainbow Trout Estrogen Receptor Binding and Liver Slice Vtg mRNA Expression Assays. Mark A. Tapper, Jeffrey S. Denny, Barbara R. Sheedy, Ben Johnson, and Richard C. Kolanczyk. Applied In Vitro Toxicology 2023 9:1, 13-22\". \n\nThis dataset is associated with the following publication:\nTapper, M., J. Denny, B. Sheedy, B. Johnson, and R. Kolanczyk. Estrogenic Activity of Perfluoro Carboxylic and Sulfonic Acids in Rainbow Trout Estrogen Receptor Binding and Liver Slice Vtg mRNA Expression Assays.   Applied In Vitro Toxicology. Mary Ann Liebert, Inc., Larchmont, NY, USA, 9(1): 13-22, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529975",
      "keyword": [
        "estrogen receptor",
        "PFOS",
        "PFOA",
        "liver slice",
        "rainbow trout",
        "competitive binding",
        "vitellogenin"
      ],
      "contactPoint": {
        "fn": "Mark Tapper",
        "hasEmail": "mailto:tapper.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "Tapper et al PFAS manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529975/Tapper%20et%20al%20PFAS%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-06",
      "references": [
        "https://doi.org/10.1089/aivt.2022.0013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing utility of thyroid in vitro screening assays through comparisons to observed impacts in vivo",
      "description": "Supplementary data for \"Stephanie A. Eytcheson, Jennifer H. Olker, Katie Paul Friedman, Michael W. Hornung, Sigmund J. Degitz, Assessing utility of thyroid in vitro screening assays through comparisons to observed impacts in vivo, Regulatory Toxicology and Pharmacology, Volume 144, 2023, 105491, ISSN 0273-2300, https://doi.org/10.1016/j.yrtph.2023.105491.\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: N/A. Format: The data used in this analysis are from publicly available sources and are cited in the references and/or the supplemental files. \n\nThis dataset is associated with the following publication:\nEytcheson, S., J. Olker, K. Friedman, M. Hornung, and S. Degitz. Assessing utility of thyroid in vitro screening assays through comparisons to observed impacts in vivo.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 144: 105491, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529963",
      "keyword": [
        "endocrine disruption",
        "high-throughput screening",
        "thyroid",
        "in vitro",
        "in vivo"
      ],
      "contactPoint": {
        "fn": "Sigmund Degitz",
        "hasEmail": "mailto:degitz.sigmund@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0273230023001599-mmc4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529963/1-s2.0-S0273230023001599-mmc4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0273230023001599-mmc3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529963/1-s2.0-S0273230023001599-mmc3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0273230023001599-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529963/1-s2.0-S0273230023001599-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0273230023001599-mmc1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529963/1-s2.0-S0273230023001599-mmc1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-30",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2023.105491"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in the manuscript",
      "description": "90% of the data in the spreadsheet is from publicly accessible databases. However, that data was used by ORD to generate emission estimates. \n\nThis dataset is associated with the following publication:\nTolaymat, T., N. Robey, M. Krause, J. Larson, K. Weitz, S. Parvathikar, L. Phelps, W. Linak, S. Burden, T. Speth, and J.D. Krug. A Critical Review of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) Landfill Disposal in the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 905: 167185, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529098",
      "keyword": [
        "Disposal",
        "emissions",
        "landfills",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Spreadsheet of Tables and Figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529098/Spreadsheet%20of%20Tables%20and%20Figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-11",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167185"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gonadal Development in Smallmouth Bass (Micropterus Dolomieu) Reared in the Absence and Presence of 17-α-Ethinylestradiol",
      "description": "Supporting information for \"Kadlec, S.M., Blackwell, B.R., Blanksma, C.A., Johnson, R.D., Olker, J.H., Schoff, P.K. and Mount, D.R. (2022), Gonadal Development in Smallmouth Bass (Micropterus Dolomieu) Reared in the Absence and Presence of 17-α-Ethinylestradiol. Environ Toxicol Chem, 41: 1416-1428. https://doi.org/10.1002/etc.5320\". \n\nThis dataset is associated with the following publication:\nKadlec, S., B. Blackwell, C. Blanksma, R. Johnson, J. Olker, P. Schoff, and D. Mount. Gonadal Development in Smallmouth Bass (Micropterus Dolomieu) Reared in the Absence and Presence of 17-α-Ethinylestradiol.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(6): 1416-1428, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529978",
      "keyword": [
        "testicular oocytes",
        "gonadal development",
        "endocrine disruption",
        "smallmouth bass",
        "ethinyl estradiol"
      ],
      "contactPoint": {
        "fn": "David Mount",
        "hasEmail": "mailto:mount.dave@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529978/Supporting%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-02-24",
      "references": [
        "https://doi.org/10.1002/etc.5320"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Read-across application for emissions estimation",
      "description": "The emission data used is based on this publication. \n\nThis dataset is associated with the following publication:\nTakkellapati, S., and M.A. Gonzalez. Application of read-across methods as a framework for the estimation of emissions from chemical processes.   Clean Technologies and Recycling. AIMS Press, Springfield, MO, USA, 3(4): 283-300, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529986",
      "keyword": [
        "emissions",
        "Read-across",
        "Environmental Releases",
        "machine learning",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Sudhakar Takkellapati",
        "hasEmail": "mailto:takkellapati.sudhakar@epa.gov"
      },
      "distribution": [
        {
          "title": "Meyer_ImprovingReliabilityOfChemicalManufactLCI_2020.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529986/Meyer_ImprovingReliabilityOfChemicalManufactLCI_2020.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-11",
      "references": [
        "https://doi.org/10.3934/ctr.2023018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lab analytical data",
      "description": "chemical concentrations. \n\nThis dataset is associated with the following publication:\nFalzone, S., C. Schaefer, E. Siegenthaler, K. Keating, D. Werkema, and L. Slater. Geophysical Signatures of Soil AFFF Contamination from Spectral Induced Polarization and Low Field Nuclear Magnetic Resonance Methods.   JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 260: 104268, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528295",
      "keyword": [
        "perfluoroalkyl substances",
        "source zones",
        "sorption",
        "Aqueous Film Forming Foam"
      ],
      "contactPoint": {
        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [
        {
          "title": "V78124PFAS_Database_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528295/V78124PFAS_Database_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-02",
      "references": [
        "https://doi.org/10.1016/j.jconhyd.2023.104268"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Durden et al data for SciHub 2023",
      "description": "Data corresponding to figures in manuscript. \n\nThis dataset is associated with the following publication:\nDurden, L., K. Eckhoff, A. Burdsall, S. Youn, C. Andujar-Gonzalez, L. Abu-Niaaj, M. Magnuson, and W. Harper. Characterizing Bacillus globigii as a Bacillus anthracis surrogate for wastewater treatment studies and bioaerosol emissions.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9(12): 3458�3466, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529809",
      "keyword": [
        "water security",
        "Decontamination",
        "biological",
        "water infrastructure",
        "Bacillus anthracis"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Durden et al data for SciHub 2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529809/Durden%20et%20al%20data%20for%20SciHub%202023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-23",
      "references": [
        "https://doi.org/10.1039/d3ew00524k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Growth kinetics summary data.",
      "description": "Data Set S1 - Growth kinetics summary data. Tables S1 and S2 - Significantly upregulated V. alginolyticus endometabolites detected during iron supplementation and iron starvation experiments. \n\nThese data are available thru open access journal - https://doi.org/10.1128/spectrum.02680-23. Please contact the corresponding author directly for reuse. \n\nThis dataset is associated with the following publication:\nNorfolk, W., C. Shue, W. Henderson, D. Glinski, and E. Lipp. Vibrio alginolyticus growth kinetics and the metabolic effects of iron.   Microbiology Spectrum. American Society for Microbiology, Washington, DC, USA, 11(6): e0268023, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530046",
      "keyword": [
        "vibrio alginolyticus",
        "metabolomics",
        "Tolerance",
        "iron",
        "growth kinetics",
        "Physiology"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "spectrum.02680-23-s0003.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530046/spectrum.02680-23-s0003.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "spectrum.02680-23-s0001.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530046/spectrum.02680-23-s0001.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-26",
      "references": [
        "https://doi.org/10.1128/spectrum.02680-23",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10714744"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplementary material for Noble et al. 2023 Characterization of algal community composition and structure from the nearshore environment, Lake Tahoe, (United States)",
      "description": "Supplementary Data sheet 1.pdf is an image voucher flora of common soft-bodied algae from nearshore Lake Tahoe. \nSupplementary Data sheet 2.pdf is an image voucher flora of diatoms. \nSupplementary Data sheet 3.docx is a list of diatom voucher species references. \nSupplementary Table 1.xlsx is a translation table of diatom operational taxonomic units (OTUs), species names, and references.\nSupplementary Table 2.xlsx is a data matrix of diatom valve counts for seasonal and littoral zone comparison of assemblage composition.\nSupplementary Table 3.xlsx is soft-bodied algae translation table with biovolume information and species name references. \n\nThis dataset is associated with the following publication:\nNoble, P., C. Seitz, S. Lee, K. Manoylov, and S. Chandra. Characterization of algal community composition and structure from the nearshore environment, Lake Tahoe, (United States).   Frontiers in Ecology and Evolution. Frontiers, Lausanne,  SWITZERLAND, 10: 1053499, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529845",
      "keyword": [
        "Diatom",
        "voucher flora",
        "lake Tahoe",
        "periphyton",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.frontiersin.org/articles/10.3389/fevo.2022.1053499/full#supplementary-material",
          "accessURL": "https://www.frontiersin.org/articles/10.3389/fevo.2022.1053499/full#supplementary-material",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-20",
      "references": [
        "https://doi.org/10.3389/fevo.2022.1053499",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10750852"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
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      "accessRights": "public"
    },
    {
      "title": "Elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems",
      "description": "This research contains new data expanding the realm of nanoplastics that can be followed based on their metallic signatures to all kinds of plastics. Additionally, this study illustrates the importance of nanoplastics as a source of metals and metal-bearing nanoparticles in the environment. \n\nThis dataset is associated with the following publication:\nBaalousha, M., J. Wang, M.M. Nabi, M. Alam, M. Erfani, J. Gigault, F. Blancho, M. Davranche, P.M. Potter, and S.R. Al-Abed. The elemental fingerprint as a potential tool for tracking the fate of real-life model nanoplastics generated from plastic consumer products in environmental systems.   Environmental Science: Nano. Royal Society of Chemistry, Cambridge,  UK, 11(1): 373-388, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529444",
      "keyword": [
        "Polymers",
        "metals",
        "plastics",
        "Elemental Finger Print"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "icpTOF11.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF11.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF10.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF9.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF9.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF8.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF8.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF7.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF7.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF6.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF6.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF5.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF5.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF4.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF4.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF3.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF2 - Copy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF2%20-%20Copy.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "icpTOF1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/icpTOF1.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Density.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/Density.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Density - Copy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/Density%20-%20Copy.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Conversion.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/Conversion.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Conversion - Copy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/Conversion%20-%20Copy.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Nanoplastics total metal concentrations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/Nanoplastics%20total%20metal%20concentrations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA plastics total metal concentrations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529444/EPA%20plastics%20total%20metal%20concentrations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-22",
      "references": [
        "https://doi.org/10.1039/d3en00559c",
        "https://pasteur.epa.gov/uploads/10.23719/1529444/documents/EPA%20plastics%20total%20metal%20concentrations.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1529444/documents/Nanoplastics%20total%20metal%20concentrations.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FASEB J Ozone HFD",
      "description": "Data from Prenatal ozone exposure programs a sexually dimorphic susceptibility to high fat diet in adolescent Long-Evans rats. \n\nThis dataset is associated with the following publication:\nStewart, E., J. Dye, M. Schladweiler, P. Phillips, K. McDaniel, J. Richards, R. Grindstaff, W. Padgett, M. Moore, D. Jenkins-Hill, C. Gordon, U. Kodavanti, and C. Miller. Prenatal ozone exposure programs a sexually dimorphic susceptibility to high fat diet in adolescent Long-Evans rats..   FASEB JOURNAL. Federation of American Societies for Experimental Biology (FASEB), Bethesda, MD, USA, 36(12): e22664, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530056",
      "keyword": [
        "Susceptibility",
        "Prenatal Exposure",
        "Ozone",
        "Metabolic Disease",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "Offspring Data for SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530056/Offspring%20Data%20for%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-30",
      "references": [
        "https://doi.org/10.1096/fj.202201514r",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10010258"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Birth Defects Metadata 2021",
      "description": "This dataset describes birth outcomes (weight, gestational age, sex assigned at birth, presence of birth defects, etc.) and parental factors (age, address, health status, etc.) for people born in North Carolina between 2003 and 2015. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data come from the North Carolina Birth Defects Monitoring Program. These data are not publicly available, but more information can be obtained at https://schs.dph.ncdhhs.gov/units/bdmp/ (accessed 11/9/2021). Format: Data are stored as csv files and contain information on birth records in North Carolina from 2003 to 2015, including addresses of parents and medical information on parents and neonates. \n\nThis dataset is associated with the following publication:\nSlawsky, E., A. Weaver, T. Luben, and K. Rappazzo. A Cross-sectional Study of Brownfields and Birth Defects.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 114(5-6): 197-207, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524239",
      "keyword": [
        "Birth Defects",
        "birth records",
        "North Carolina"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2021-11-01",
      "references": [
        "https://doi.org/10.1002/bdr2.1992"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Combining in vitro and in silico New Approach Methods to investigate type 3 iodothyronine deiodinase chemical inhibition across species",
      "description": "Dataset for \"Combining in vitro and in silico New Approach Methods to investigate type 3 iodothyronine deiodinase chemical inhibition across species\". \n\nThis dataset is associated with the following publication:\nMayasich, S., M. Goldsmith, K. Mattingly, and C. Lalone. Combining In Vitro and In Silico New Approach Methods to Investigate Type 3 Iodothyronine Deiodinase Chemical Inhibition Across Species.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(5): 1032-1048, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528341",
      "keyword": [
        "Cross species extrapolation",
        "Androgen receptor",
        "weight of evidence",
        "Systematic Literature Review",
        "endocrine disrupting chemicals",
        "Computational Analysis"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "SupportingInfo_Molecular Model pdb files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528341/SupportingInfo_Molecular%20Model%20pdb%20files.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "hDIO3 SDM Full database SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528341/hDIO3%20SDM%20Full%20database%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Dictionary hDIO3 SDM.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528341/Data%20Dictionary%20hDIO3%20SDM.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-13",
      "references": [
        "https://doi.org/10.1002/etc.5591"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Saunders et al. Amended IVIVE model",
      "description": "This paper described development of an in vitro/in vivo model that accounts for first pass clearance effects.  The model details are contained in the supporting information for the paper. \n\nThis dataset is associated with the following publication:\nSaunders, L., J. Nichols, J.A. Arnot, J. Armitage, and F. Wania. An amended in vitro–in vivo extrapolation model that accounts for first pass clearance effects on chemical bioaccumulation in fish.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 25(4): 741-754, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528369",
      "keyword": [
        "biotransformation",
        "in vitro-in vivo extrapolation",
        "Intestinal metabolism",
        "First-pass clearance",
        "bioaccumulation",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "David Mount",
        "hasEmail": "mailto:mount.dave@epa.gov"
      },
      "distribution": [
        {
          "title": "Saunders et al. ScienceHub entry_amended IVIVE model.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528369/Saunders%20et%20al.%20ScienceHub%20entry_amended%20IVIVE%20model.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "modified": "2023-02-09",
      "references": [
        "https://doi.org/10.1039/d2em00522k",
        "https://pasteur.epa.gov/uploads/10.23719/1528369/documents/Saunders%20et%20al.%20ScienceHub%20entry_amended%20IVIVE%20model.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528369/documents/Saunders%20et%20al.%20ScienceHub%20entry_amended%20IVIVE%20model.xlsx",
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    },
    {
      "title": "Lightning Assimilation WRF Data",
      "description": "The immediate data, except the lightning flash data behind the figures,\nare available from https://doi.org/10.5281/zenodo.6493145 ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526408",
      "keyword": [
        "WRF",
        "air quality",
        "lightning assimilation"
      ],
      "contactPoint": {
        "fn": "Daiwen Kang",
        "hasEmail": "mailto:kang.daiwen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.6493145",
          "accessURL": "https://doi.org/10.5281/zenodo.6493145",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-07",
      "references": [
        "https://zenodo.org/record/6493145"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Increased endocrine activity of xenobiotic chemicals as mediated by metabolic activation - data set",
      "description": "Data set to support the manuscript \"Increased endocrine activity of xenobiotic chemicals as mediated by metabolic activation\". Contains analytical measurement of metabolites, binding potential to the estrogen receptor, and gene activation to vitellogenin induction in the rainbow trout assays. Chemicals of interest in this study were phenolphthalein, phenolphthalin, and 4,4’-methylenedianiline. \n\nThis dataset is associated with the following publication:\nKolanczyk, R., J. Denny, B. Sheedy, V. Olson, J. Serrano, and M. Tapper. Increased Endocrine Activity of Xenobiotic Chemicals as Mediated by Metabolic Activation..   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(12): 2747-2757, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529119",
      "keyword": [
        "Metabolism",
        "biotransformation",
        "phenolphthalein",
        "rainbow trout",
        "estrogen receptor",
        "phenolphthalin"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "ER Metabolism_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529119/ER%20Metabolism_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-06",
      "references": [
        "https://doi.org/10.1002/etc.5748"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset and code for cross species applicability of an AOP network for thyroid hormone system disruption",
      "description": "The data set consists of the following:\n1) AOP-Wiki xml downloads from March 2022 used in constructing and evaluating the AOP network.\n2) A literature database containing all literature that was cited in the main document. The database also contains additional references that were not explicitly cited in the associated manuscript.\n3) R code used for the analyses and visualizations\n4) Detailed results from the SeqAPASS tool. \n\nThis dataset is associated with the following publication:\nHaigis, A., L. Vergauwen, C. LaLone, D. Villeneuve, J. O'Brien, and D. Knapen. Cross-species applicability of an adverse outcome pathway network for thyroid hormone system disruption.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  195(1): 1-27, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529155",
      "keyword": [
        "endocrine disruption",
        "thyroid",
        "Adverse Outcome Pathways (AOPs)",
        "cross-species extrapolation"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/6495afabe4b08a6b394f8bf2?space=62e913afe4b055edffc06b16",
          "accessURL": "https://clowder.edap-cluster.com/datasets/6495afabe4b08a6b394f8bf2?space=62e913afe4b055edffc06b16",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "SeqAPASS-details.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529155/SeqAPASS-details.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "R-files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529155/R-files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "literature-database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529155/literature-database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-23",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad063"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cross-species comparison of chemical inhibition of human and Xenopus iodotyrosine deiodinase",
      "description": "Supplementary materials for \"Olker JH, Korte JJ, Haselman JT, Hornung MW, Degitz SJ. Cross-species comparison of chemical inhibition of human and Xenopus iodotyrosine deiodinase. Aquat Toxicol. 2022 Aug;249:106227. doi: 10.1016/j.aquatox.2022.106227. Epub 2022 Jun 15. PMID: 35767922; PMCID: PMC9887787.\"\n\nThe excel spreadsheet contains the resultant data from an assay for chemical inhibition of amphibian Iodotyrosine Deiodinase (IYD) enzyme activity. 154 chemicals from the EPA’s ToxCast chemical library were tested in concentration-response and these amphibian IYD assay results were compared to those from the human IYD inhibition assay reported in Olker et al. 2021 (doi:10.1016/j.tiv.2020.105073). The same set of 154 chemicals were tested in both assays and compared here. This data set the median, minimum, and maximum inhibition produced at each concentration for each tested chemical. A model inhibitor (3-Nitro-L-Tyrosine) was included on each plate as a positive control, with concentration response data for those curves also included in the data set. \n\nThis dataset is associated with the following publication:\nOlker, J., J. Korte, J. Haselman, M. Hornung, and S. Degitz. Xenopus laevis and Human iodotyrosine deiodinase enzyme cross-species sensitivity to inhibition by ToxCast chemicals..   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 249: N/A, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530078",
      "keyword": [
        "endocrine disruption",
        "amphibian",
        "iodotyrosine deiodinase",
        "Xenopus",
        "screening",
        "thyroid"
      ],
      "contactPoint": {
        "fn": "Jennifer Olker",
        "hasEmail": "mailto:olker.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix A - Supplementary Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530078/Appendix%20A%20-%20Supplementary%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Olker_et_al_IYD_in vitro Species Comp_210709.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530078/Olker_et_al_IYD_in%20vitro%20Species%20Comp_210709.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-14",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2022.106227",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887787"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Density declines, richness increases, and composition shifts in stream macroinvertebrates",
      "description": "All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Datasets and code for analyses and generation of figures are available via FigShare (doi: 10.6084/m9.figshare.22266046) and a public GitHub repository (https://github.com/rumschsl/MacroBiodivTrends). \n\nThis dataset is associated with the following publication:\nRumschlag, S., M. Mahon, D. Jones, W. Battaglin, J. Behrens, E. Bernhardt, P. Bradley, E. Brown, F. De Laender, R. Hill, S. Kunz, S. Lee, E. Rosi, R. Schafer, T. Schmidt, M. Simonin, K. Smalling, K. Voss, and J. Rohr. Density declines, richness increases, and composition shifts in stream macroinvertebrates.   Science Advances. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 9(18): eadf4896, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530081",
      "keyword": [
        "stream macroinvertebrates",
        "composition shifts",
        "biomonitoring",
        "biodiversity"
      ],
      "contactPoint": {
        "fn": "Samantha Rumschlag",
        "hasEmail": "mailto:rumschlag.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Materials.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530081/Supplementary%20Materials.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.22266046.v1",
          "accessURL": "https://doi.org/10.6084/m9.figshare.22266046.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/rumschsl/MacroBiodivTrends",
          "accessURL": "https://github.com/rumschsl/MacroBiodivTrends",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-03",
      "references": [
        "https://doi.org/10.1126/sciadv.adf4896",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156106"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Indicators for Assessing Community and Contaminated Site Vulnerability to Extreme Events",
      "description": "The indicators (non-EPA owned, yet described in the Handbook and Manuscript) represent: 1) potential exposures due to extreme events (heat, floods, drought, and wildfire), 2) specific sources of contaminant releases (the different types of sites/waste facilities), 3) contaminant fate and transport (through water and wind), and 4) population sensitivity characteristics (demographics, socioeconomic conditions, existing health conditions) that indicate which individuals in the community may be impacted more by extreme events. The geospatial indicator data layers are at the Block Group level (U.S. Census Bureau, 2022), and each Block Group is considered to be a “community”. This dataset is not publicly accessible because: The indicator data are from external co-authors collected solely from coauthor resources. The indicator data were all generated using publicly available data sources, as documented in the External Review Draft of Handbook (research product attached). It can be accessed through the following means: This data can be accessed by contacting the external lead author on the Handbook and Manuscript (Dr. Paramita Sinha, RTI), who can provide all of the indicator data layers and associated metadata documentation. Format: The indicator data are from external co-authors collected solely from co-author resources. The format of the indicator data are geospatial data layers (e.g., Shapefiles, NetCDFs) with daily/hourly temporal resolution and Census Block Group level spatial resolution. There are over 250 individual geospatial data files which would be too large to upload and store. The data are already available from public data sources, as documented in the External Review Draft of Handbook. \n\nThis dataset is associated with the following publications:\nSinha, P., R. Truesdale, M. Fry, and S. Julius. Handbook on Indicators of Community Vulnerability to Extreme Events: Considering Sites and Waste Management Facilities. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.\nSinha, P., S. Julius, M. Fry, R. Truesdale, J. Cajka, M. Eddy , P. Doraiswamya, and D. Womacka. Assessing community vulnerability to extreme events in the presence of contaminated sites and waste management facilities: An indicator approach.   Urban Climate. Elsevier Science, New York, NY,   53(101800): 1-30, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528291",
      "keyword": [
        "climate change",
        "Contaminated Sites",
        "Vulnerability",
        "Disadvantaged Community"
      ],
      "contactPoint": {
        "fn": "Meridith Fry",
        "hasEmail": "mailto:fry.meridith@epa.gov"
      },
      "distribution": [],
      "modified": "2021-07-27",
      "references": [
        "https://www.epa.gov/research",
        "https://doi.org/10.1016/j.uclim.2023.101800"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas",
      "description": "Supplementary files for \"Tucker AJ, Annis G, Elgin E, Chadderton WL, Hoffman J. Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas. Manag Biol Invasion. 2022 Feb 4;13(1):45-67. doi: 10.3391/mbi.2022.13.1.03. PMID: 35664708; PMCID: PMC9157784.\". \n\nThis dataset is associated with the following publication:\nTucker, A., G. Annis, E. Elgin, L. Chadderton, and J. Hoffman. Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas.   Management of Biological Invasions. Regional Euro-Asian Biological Invasions Centre, Helsinki,  FINLAND,  45-67, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530058",
      "keyword": [
        "aquatic macrophytes",
        "early detection",
        "monitoring",
        "rarefaction",
        "surveillance"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "MBI_2022_Tucker_etal_SupplementaryTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530058/MBI_2022_Tucker_etal_SupplementaryTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "MBI_2022_Tucker_etal_SupplementaryFigures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530058/MBI_2022_Tucker_etal_SupplementaryFigures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-02-04",
      "references": [
        "https://doi.org/10.3391/mbi.2022.13.1.03",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157784"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National-Scale Assessment of Total Gaseous Mercury Isotopes Across the United States",
      "description": "Data for \"Tate, M. T., Janssen, S. E., Lepak, R. F., Flucke, L., & Krabbenhoft, D. P. (2023). National-scale assessment of total gaseous mercury isotopes across the United States. Journal of Geophysical Research: Atmospheres, 128, e2022JD038276. https://doi.org/10.1029/2022JD038276\". \n\nThis dataset is associated with the following publication:\nTate, M., S. Janssen, R. Lepak, L. Fluke, and D. Krabbenhoft. Assessment and Application of an Active Total Gaseous Mercury Collector to Survey Mercury Sources Across the United States.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 128(8): N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530079",
      "keyword": [
        "mercury",
        "mercury isotopes",
        "United States",
        "Point source"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/5d51e54de4b01d82ce8e205f",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5d51e54de4b01d82ce8e205f",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-01",
      "references": [
        "https://doi.org/10.1029/2022jd038276",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10430761"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Biotransformation Pathways: A Species Comparison Study",
      "description": "Data for \"Kolanczyk RC, Saley MR, Serrano JA, Daley SM, Tapper MA. PFAS Biotransformation Pathways: A Species Comparison Study. Toxics. 2023 Jan 12;11(1):74. doi: 10.3390/toxics11010074. PMID: 36668800; PMCID: PMC9862377.\". \n\nThis dataset is associated with the following publication:\nKolanczyk, R., M. Saley, J. Serrano, S. Daley, and M. Tapper. PFAS Biotransformation Pathways: A Species Comparison Study.   Toxics. MDPI, Basel,  SWITZERLAND, 11(1): 74, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529952",
      "keyword": [
        "biotransformation",
        "Comparison",
        "PFAS",
        "pathway",
        "Biodegradation",
        "fish",
        "Metabolism",
        "MetaPath"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS OPEN LIT_2022_v.3.4.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529952/PFAS%20OPEN%20LIT_2022_v.3.4.0.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS OPEN LIT_2022_v.3.3.1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529952/PFAS%20OPEN%20LIT_2022_v.3.3.1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-07",
      "references": [
        "https://doi.org/10.3390/toxics11010074",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862377"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Can Preserved Museum Specimens Be Used to Reconstruct Fish Mercury Burden and Sources through Time?",
      "description": "Supporting information for \"Ryan F. Lepak, Sarah E. Janssen, Jacob M. Ogorek, Casey B. Dillman, Joel C. Hoffman, Michael T. Tate, and Peter B. McIntyre\nEnvironmental Science & Technology Letters 2023 10 (2), 165-171\nDOI: 10.1021/acs.estlett.3c00009\". \n\nThis dataset is associated with the following publication:\nLepak, R., S. Janssen, J. Ogorek, C. Dillman, J. Hoffman, M. Tate, and P. McIntyre. Can Preserved Museum Specimens Be Used to Reconstruct Fish Mercury Burden and Sources through Time?.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 10(2): 165-171, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530087",
      "keyword": [
        "minamata convention",
        "preserved fish",
        "mercury isotopes",
        "isotopes",
        "museums"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530087/Supporting%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-30",
      "references": [
        "https://doi.org/10.1021/acs.estlett.3c00009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS in vitro data set",
      "description": "Results of single concentration and concentration response testing of 165 PFAS samples from the USEPA ToxCast chemical library in nine (9) thyroid relevant assays. Chemicals were first screened in single concentration ('Single Concentration' tab) and then those chemicals with 50% or greater activity were further tested in concentration-response mode ('Concentration Response' tab). \n\nThis dataset is associated with the following publication:\nDegitz, S., J. Olker, J. Denny, P. Degoey, P. Hartig, M. Cardon, S. Eytcheson, J. Haselman, S. Mayasich, and M. Hornung. In vitro screening of per- and polyfluorinated substances (PFAS) for interference with seven thyroid hormone system targets across nine assays.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 95: 105762, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528672",
      "keyword": [
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Sigmund Degitz",
        "hasEmail": "mailto:degitz.sigmund@epa.gov"
      },
      "distribution": [
        {
          "title": "Degitz_Thyroid_PFAS screening_230203.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528672/Degitz_Thyroid_PFAS%20screening_230203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-03",
      "references": [
        "https://doi.org/10.1016/j.tiv.2023.105762"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA-generated bioassay data for NEIA 2018 Agricultural Study",
      "description": "Data file cotains EPA-generated bioassay data published as TABLE S6b. EPA BIOASSAY with manuscript. \n\nThis dataset is associated with the following publication:\nBradley, P., D. Kolpin, D. Thompson, K. Romanok, K. Smalling, S. Breitmeyer, D. Cwiertny, N. Evans, R.W. Field, M. Focazio, L. Freeman, C. Givens, J. Gray, G. Hager, M. Hladik, J. Hofmann, R. Jones, L. Kanagy, R. Lane, R.B. McCleskey, D. Medgyesi, E. Medlock Kakaley, S. Meppelink, M. Meyer, D. Stavreva, M. Ward, and M. Cardon. Juxtaposition of Intense Agriculture, Vulnerable Aquifers, and Mixed Chemical/Microbial Exposures in Private-Well Tapwater in Northeast Iowa.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 868: 161672, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530047",
      "keyword": [
        "tapwater",
        "bioassay",
        "estrogen",
        "androgen"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969723002875?via%3Dihub#s0080",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969723002875?via%3Dihub#s0080",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.161672",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976626"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA-generated bioassay data for 2020 bottled water study",
      "description": "EPA-generated bioassay data published with 2020 bottled water study manuscript. \n\nThis dataset is associated with the following publication:\nBradley, P., K. Romanok, K. Smalling, M. Focazio, N. Evans, S. Fitzpatrick, C. Givens, S. Gordon, J. Gray, E. Green, D. Griffin, M. Hladik, L. Kanagy, J. Lisle, K. Loftin, R.B. McCleskey, E. Medlock Kakaley, A. Navas-Acien, D. Roth, and C. Weis. Bottled Water Contaminant Exposures and Predicted Human Effects.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 171(107701): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530048",
      "keyword": [
        "drinking water",
        "estrogen",
        "bioassay"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0160412022006286#s0090",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0160412022006286#s0090",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-18",
      "references": [
        "https://doi.org/10.1016/j.envint.2022.107701",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123854"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tillamook Estuary, Oregon 2017/2018 Coastal Acidification Case Study",
      "description": "Synoptic survey and continuous monitoring data for coastal acidification in Tillamook Estuary, OR, USA",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529988",
      "keyword": [
        "coastal acidification",
        "water quality",
        "climate change",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Stephen Pacella",
        "hasEmail": "mailto:pacella.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Pacella_TILL23_SciHub_Dataset Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529988/Pacella_TILL23_SciHub_Dataset%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Deiodinase inhibition impairs the formation of the three posterior swim bladder tissue layers during early embryonic development in zebrafish",
      "description": "The data set includes:\n1) Swimbladder inflation at 120 hours post-fertilization (hpf)\n2) Swimbladder surface area at 120 hpf\n3) Larval body length at 120 hpf\n4) Swimming activity at 120 hpf\n5) Targeted whole body gene expression results for nine mRNA transcripts evaluated at 60 hpf (hb9; fgf10a; acta2; anxa5b; wnt5b; fzd2; shha; ihha; ptc1)\n6) Targeted whole body gene expression results for the same nine mRNA transcripts evaluated at 120 hpf.\n7) Whole body thyroid hormone concentrations measured at 48, 60, 96, and 120 hpf\n8) Whole body thyroid hormone concentrations in IOP exposed embryos/larvae at 48, 60, and 120 hpf\n9) Data for supplementary figures S6, S7A, S7B\n10) Ratio T3 of IOP exposed embryos over control T3 levels during embryonic-juvenile development (4 replicates, Figure S9). \n\nThis dataset is associated with the following publication:\nVan Dingenen, I., L. Vergauwen, A. Haigis, B. Blackwell, E. Stacy, D. Villeneuve, and D. Knapen. Deiodinase inhibition impairs the formation of the three posterior swim bladder tissue layers during early embryonic development in zebrafish.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 261: 106632, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529156",
      "keyword": [
        "zebrafish",
        "endocrine disruption",
        "fish",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Van Dingenen et al_AllData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529156/Van%20Dingenen%20et%20al_AllData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-23",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2023.106632"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental Information for Dietary uptake of highly hydrophobic chemicals by rainbow trout",
      "description": "Detailed data and analysis supporting manuscript Dietary uptake of highly hydrophobic chemicals by rainbow trout. \n\nThis dataset is associated with the following publication:\nBurkhard, L., T. Lahren, K. Hanson, A. Kasparek, and D. Mount. Dietary Uptake of Highly Hydrophobic Chemicals by Rainbow Trout (Oncorhynchus Mykiss).   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 85(4): 390-403, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529165",
      "keyword": [
        "hydrophobicity",
        "Kow",
        "bioaccumulation",
        "fish"
      ],
      "contactPoint": {
        "fn": "David Mount",
        "hasEmail": "mailto:mount.dave@epa.gov"
      },
      "distribution": [
        {
          "title": "SI-Tables DRM 2023-06-28.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529165/SI-Tables%20DRM%202023-06-28.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-28",
      "references": [
        "https://doi.org/10.1007/s00244-023-01038-6"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cross species extrapolation of the disruption of thyroid hormone synthesis by oxyfluorfen using in vitro data, physiologically based pharmacokinetic (PBPK), and thyroid hormone kinetics models",
      "description": "How to access data for \"Decrane R, Stoker T, Murr A, Ford J, El-Masri H. Cross species extrapolation of the disruption of thyroid hormone synthesis by oxyfluorfen using in vitro data, physiologically based pharmacokinetic (PBPK), and thyroid hormone kinetics models. Curr Res Toxicol. 2023 Nov 23;5:100138. doi: 10.1016/j.crtox.2023.100138. PMID: 38074188; PMCID: PMC10697989.\". This dataset is not publicly accessible because: N/A. It can be accessed through the following means: Data will be made available on request from Hisham El-Masri (el-masri.hisham@epa.gov). Format: N/A. \n\nThis dataset is associated with the following publication:\nDecrane, R., T. Stoker, A. Murr, J. Ford, and H. El-Masri. Cross species extrapolation of the disruption of thyroid hormone synthesis by oxyfluorfen using in vitro data, physiologically based pharmacokinetic (PBPK), and thyroid hormone kinetics models.   Current Research in Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 5: 100138, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530082",
      "keyword": [
        "Biological Modeling",
        "oxyfluorfen",
        "pbpk",
        "thyroid"
      ],
      "contactPoint": {
        "fn": "Hisham El-Masri",
        "hasEmail": "mailto:el-masri.hisham@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-14",
      "references": [
        "https://doi.org/10.1016/j.crtox.2023.100138",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697989"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mercury Isotope Values in Shoreline Spiders Reveal the Transfer of Aquatic Mercury Sources to Terrestrial Food Webs",
      "description": "Supporting information for \"Janssen SE, Kotalik CJ, Eagles-Smith CA, Beaubien GB, Hoffman JC, Peterson G, Mills MA, Walters DM. Mercury Isotope Values in Shoreline Spiders Reveal the Transfer of Aquatic Mercury Sources to Terrestrial Food Webs. Environ Sci Technol Lett. 2023 Sep 13;10(10):891-896. doi: 10.1021/acs.estlett.3c00450. PMID: 37840816; PMCID: PMC10569030.\". \n\nThis dataset is associated with the following publication:\nJanssen, S., C. Kotalik, C. Eagles-Smith, G. Beaubien, J. Hoffman, G. Peterson, M. Mills, and D. Walters. Mercury Isotope Values in Shoreline Spiders Reveal the Transfer of Aquatic Mercury Sources to Terrestrial Food Webs.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 10(10): 891-896, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530083",
      "keyword": [
        "spiders",
        "bioaccumulation",
        "mercury stable isotopes",
        "mercury",
        "Bioindicator"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530083/Supporting%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-21",
      "references": [
        "https://doi.org/10.1021/acs.estlett.3c00450",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569030"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America",
      "description": "Supplementary data for \"Vreedzaam A, Ouboter P, Hindori-Mohangoo AD, Lepak R, Rumschlag S, Janssen S, Landburg G, Shankar A, Zijlmans W, Lichtveld MY, Wickliffe JK. Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America. Environ Pollut. 2023 Nov 1;336:122447. doi: 10.1016/j.envpol.2023.122447. Epub 2023 Aug 28. PMID: 37648055; PMCID: PMC10756560.\". \n\nThis dataset is associated with the following publication:\nVreedzaam, A., P. Ouboter, A. Hindori-Mohangoo, R. Lepak, S. Rumschlag, S. Janssen, G. Landburg, A. Shankar, W. Zijlmans, M. Lichtveld, and J. Wickliffe. Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 336: 122447, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530085",
      "keyword": [
        "Hg isotopes",
        "fish",
        "Suriname",
        "Gold mining",
        "mercury"
      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530085/Supplementary%20Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-22",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.122447",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10756560"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata description for Higher daily air temperature is associated with shorter leukocyte telomere length: KORA F3 and KORA F4",
      "description": "The data consists of a series of tables containing individual identifiers; countrywide high-resolution (1 km × 1 km) minimum, mean, and maximum daily air temperature data estimated using hybrid spatiotemporal regression-based models; daily concentrations of relative humidity (RH), ozone (O3), nitrogen dioxide (NO2), particulate matter within Augsburg, Germany; leukocyte telomere length; age (year), sex (male, female), education (years), and body mass index (BMI [kg/m2]); lifestyle characteristics, including smoking status, alcohol consumption (g/day), and physical activity; medical history of the participants, including hypertension (no/yes), angina pectoris (no/yes), myocardial infarction (no/yes), and stroke (no/yes); and current medications, including antihypertensive (no/yes), lipid-lowering (no/yes), and antidiabetic medication (no/yes). The data also contains serum total cholesterol; high-density lipoprotein (HDL); low-density lipoprotein (LDL); and triglycerides. This dataset is not publicly accessible because: The data is owned by an institute other than the EPA (Helmholtz Institute). It can be accessed through the following means: The data can be accessed by contacting the corresponding author of the study Wenli Ni (wenli.ni@helmholtz-muenchen.de). Format: The data consists of a series of tables containing individual identifiers; countrywide high-resolution (1 km × 1 km) minimum, mean, and maximum daily air temperature data estimated using hybrid spatiotemporal regression-based models; daily concentrations of relative humidity (RH), ozone (O3), nitrogen dioxide (NO2), particulate matter within Augsburg, Germany; leukocyte telomere length; age (year), sex (male, female), education (years), and body mass index (BMI [kg/m2]); lifestyle characteristics, including smoking status, alcohol consumption (g/day), and physical activity; medical history of the participants, including hypertension (no/yes), angina pectoris (no/yes), myocardial infarction (no/yes), and stroke (no/yes); and current medications, including antihypertensive (no/yes), lipid-lowering (no/yes), and antidiabetic medication (no/yes). The data also contains serum total cholesterol; high-density lipoprotein (HDL); low-density lipoprotein (LDL); and triglycerides. \n\nThis dataset is associated with the following publication:\nNi, W., K. Wolf, S.  Breitner, S. Zhang, N. Nikolaou, C. Ward-Caviness, M. Waldenberger, C. Gieger, A. Peters, and A. Schneider. Higher daily air temperature is associated with shorter leukocyte telomere length: KORA F3 and KORA F4.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(24): 17815-17824, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530089",
      "keyword": [
        "air pollution",
        "temperature",
        "telomere length",
        "Aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-20",
      "references": [
        "https://doi.org/10.1021/acs.est.2c04486",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9775210"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Closing Dichloramine Decomposition Nitrogen and Oxygen Mass Balances: Relative Importance of End-Products from the Reactive Nitrogen Species Pathway",
      "description": "Data is for manuscript entitled \"Closing Dichloramine Decomposition Nitrogen and Oxygen Mass Balances: Relative Importance of End-Products from the Reactive Nitrogen Species Pathway\". This dataset is not publicly accessible because: The data was not generated by EPA.  It can be accessed by contacting the corresponding author. It can be accessed through the following means: Contact the manuscript corresponding author: Julian L. Fairey at julianf@uark.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nPham, H., D. Wahman, and J. Fairey. Closing Dichloramine Decomposition Nitrogen and Oxygen Mass Balances - Relative Importance of End-Products from the Reactive Nitrogen Species Pathway.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58( ): 2048-2057, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529535",
      "keyword": [
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-06",
      "references": [
        "https://doi.org/10.1021/acs.est.3c08088"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Intratracheal instillation of respirable particulate matter elicits neuroendocrine activation",
      "description": "Objective: Inhalation of ozone activates central sympathetic-adrenal-medullary and hypothalamic-pituitary-adrenal stress axes. While airway neural networks are known to communicate noxious stimuli to higher brain centers, it is not known to what extent responses generated from pulmonary airways contribute to neuroendocrine activation.\n\nMaterials and methods: Unlike inhalational exposures that involve the entire respiratory tract, we employed intratracheal (IT) instillations to expose only pulmonary airways to either soluble metal-rich residual oil fly ash (ROFA) or compressor-generated diesel exhaust particles (C-DEP). Male Wistar-Kyoto rats (12-13 weeks) were IT instilled with either saline, C-DEP or ROFA (5 mg/kg) and necropsied at 4 or 24 hr to assess temporal effects.\n\nResults: IT-instillation of particulate matter (PM) induced hyperglycemia as early as 30-min and glucose intolerance when measured at 2 hr post-exposure. We observed PM- and time-specific effects on markers of pulmonary injury/inflammation (ROFA>C-DEP; 24 hr>4hr) as corroborated by increases in lavage fluid injury markers, neutrophils (ROFA>C-DEP), and lymphocytes (ROFA). Increases in lavage fluid pro-inflammatory cytokines differed between C-DEP and ROFA in that C-DEP caused larger increases in TNF-α whereas ROFA caused larger increases in IL-6. No increases in circulating cytokines occurred. At 4 hr, PM impacts on neuroendocrine activation were observed through depletion of circulating leukocytes, increases in adrenaline (ROFA), and decreases in thyroid-stimulating-hormone, T3, prolactin, luteinizing-hormone, and testosterone. C-DEP and ROFA both increased lung expression of genes involved in acute stress and inflammatory processes. Moreover, small increases occurred in hypothalamic Fkbp5, a glucocorticoid-sensitive gene.\n\nConclusion: Respiratory alterations differed between C-DEP and ROFA, with ROFA inducing greater overall lung injury/inflammation; however, both PM induced a similar degree of neuroendocrine activation. These findings demonstrate neuroendocrine activation after pulmonary-only PM exposure, and suggest the involvement of pituitary- and adrenal-derived hormones. \n\nThis dataset is associated with the following publication:\nAlewel, D., A. Henriquez, M. Schladweiler, R. Grindstaff, A. Astriab Fisher, S. Snow , T. Jackson, and U. Kodavanti. Intratracheal instillation of respirable particulate matter elicits neuroendocrine activation.   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 35(3-4): 59-75, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530092",
      "keyword": [
        "neuroendocrine",
        "diesel exhaust particles",
        "gene expression",
        "hypothalamus",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Sciencehub - WKYROFAit - UK2020 (3-1-22).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530092/Sciencehub%20-%20WKYROFAit%20-%20UK2020%20%283-1-22%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-31",
      "references": [
        "https://doi.org/10.1080/08958378.2022.2100019",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590194"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO State Models v1.0 for 2020",
      "description": "These are Excel outputs of each of the USEEIO State Models v1.0 for year 2020. They were developed using useeior v1.4.0 (https://github.com/USEPA/useeior/releases/tag/v1.4.0). See the referenced USEPA report for a full description. See the Data Dictionary for interpretation of the sheets in each Excel file. \n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530076",
      "keyword": [
        "environmental-economic model",
        "subnational model",
        "U.S. states",
        "consumption-based GHG inventory"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "StateEEIOv1.0-s-20-TX.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-TX.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-TN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-TN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-SD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-SD.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-SC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-SC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-RI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-RI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-PA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-PA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-OR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-OR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-OK.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-OK.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-OH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-OH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NY.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NY.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NV.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NJ.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NJ.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NH.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "StateEEIOv1.0-s-20-NE.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NE.xlsx",
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        {
          "title": "StateEEIOv1.0-s-20-ND.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-ND.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-NC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-NC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-ME.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-ME.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MD.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-MA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-MA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-LA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-LA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-KY.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-KY.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-KS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-KS.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-IN.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-IN.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-IL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-IL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-ID.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-ID.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-IA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-IA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-HI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-HI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-GA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-GA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-FL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-FL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-DE.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-DE.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-CT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-CT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-CO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-CO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-CA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-CA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-AZ.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-AZ.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-AR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-AR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-AL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-AL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-AK.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-AK.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-WY.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-WY.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-WV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-WV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-WI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-WI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-WA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-WA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-VT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-VT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-VA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-VA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StateEEIOv1.0-s-20-UT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/StateEEIOv1.0-s-20-UT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530076/documents/StateEEIOv1.0-DataDictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Pavlovic et al. - Machine Learning Critical Loads",
      "description": "This is the metadata associated with Pavlovic et al. (2023) entitled \"Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning\" (https://www.sciencedirect.com/science/article/pii/S0048969722063513). It is not EPA data and the data and associated metadata is already publicly available on the journal website. \n\nThis dataset is associated with the following publication:\nPavlovic, N., S. Chang, J. Huang, K. Craig, C. Clark, K. Horn, and C. Driscoll. Empirical nitrogen and sulfur critical loads of U.S. tree species and their uncertainties with machine learning.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 857: 1-10, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530094",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "forest",
        "critical loads",
        "Tree",
        "NAAQS"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969722063513",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969722063513",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-10-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2022.159252",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241478"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "No dataset available.",
      "description": "The dataset to support the journal article was generated by a cooperative non-EPA research organization. Readers may inquire underlying dataset from the corresponding author as specified in the journal article. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: The corresponding author of the paper, as noted in the journal article, can provide datasets upon request. Format: The dataset to support the journal article was generated by a cooperative non-EPA research organization. No further information on dataset format and status is available. \n\nThis dataset is associated with the following publication:\nShao, Y., K. Li, T. Zhang, J. Yang, and S. Chu. Modeling of Truncated Normal Distribution for Estimating Hydraulic Parameters in Water Distribution Systems - Taking Nodal Water Demand as an Example.   Journal of Hydroinformatics. IWA Publishing, London,  UK, 25(5): 2053–2068, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529984",
      "keyword": [
        "Parameter Estimation",
        "Water Distribution System",
        "Bayesian framework",
        "Truncated Normal Distribution"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-10",
      "references": [
        "https://doi.org/10.2166/hydro.2023.250"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Hat Island and Mission Beach discrete and continuous time series data for carbonate chemistry and other physical/biogechemical parameters",
      "description": "High-resolution (15-minute frequency) monitoring data of pH, dissolved oxygen, salinity, temperature, depth, and chlorophyll from July 2015 – April 2016 in two seagrass systems of Puget Sound, WA, USA. Grab samples for instrument validation and carbonate chemistry analysis were periodically taken next to the in-situ instrumentation and are included.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1503725",
      "keyword": [
        "Ocean acidification",
        "coastal acidification",
        "seagrasses",
        "carbonate chemistry"
      ],
      "contactPoint": {
        "fn": "Stephen Pacella",
        "hasEmail": "mailto:pacella.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Pacella-JGR23-Resubmission Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503725/Pacella-JGR23-Resubmission%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "K means clustering the opportunity atlas 2023APR",
      "description": "All code and input files used in k-means clustering analysis of Opportunity Atlas data. \n\nThis dataset is associated with the following publication:\nZelasky, S., C. Martin, C. Weaver, L. Baxter, and K. Rappazzo. Identifying groups of children's social mobility opportunity for public health applications using k-means clustering.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 9(9): E20250, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530105",
      "keyword": [
        "opportunity",
        "social mobility",
        "k-means clustering",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530105/ScienceHub.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-28",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2023.e20250",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560027"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NEST preterm birth air pollution dietary factors 2023MAY",
      "description": "Data dictionary and code files associated with analysis of air pollution and dietary factor interactions with preterm birth. \n\nThis dataset is associated with the following publication:\nJardel, H., C. Martin, C. Hoyo, and K. Rappazzo. Interplay of gestational parent exposure to ambient air pollution and diet characteristics on preterm birth.   BMC PUBLIC HEALTH. BioMed Central Ltd, London,  UK, 23: 822, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530106",
      "keyword": [
        "Modification",
        "air pollution",
        "preterm birth",
        "diet",
        "epidemiology",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "Code NEST pollution diet 2023MAY.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530106/Code%20NEST%20pollution%20diet%202023MAY.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary NEST-Pollution-Diet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530106/Data%20dictionary%20NEST-Pollution-Diet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-30",
      "references": [
        "https://doi.org/10.1186/s12889-023-15676-x",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161541"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of a high-throughput H295R homogenous time resolved fluorescence assay for androgen and estrogen steroidogenesis screening",
      "description": "Dataset for 'Evaluation of a high-throughput H295R homogenous time resolved fluorescence assay for androgen and estrogen steroidogenesis screening', Garnovskaya, et al., Toxicology in Vitro, Vol 92, 105659, Oct 2023, https://doi.org/10.1016/j.tiv.2023.105659. Contains the ToxCast Pipeline datasets and curve fits that can be pulled up from InvitroDB on the CompTox Chemicals Dashboard. \n\nThis dataset is associated with the following publication:\nGarnovskaya, M., M. Feshuk, W. Stewart, K. Friedman, R. Thomas, and C. Deisenroth. Evaluation of a High-throughput H295R Homogenous Time Resolved Fluorescence Assay for Androgen and Estrogen Steroidogenesis Screening.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 92: 105659, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530103",
      "keyword": [
        "androgen",
        "estrogen",
        "New Approach Methods (Alternatives to Animal Testing)",
        "steroidogenesis",
        "High throughput screening",
        "endocrine toxicology"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "ccte_deisenroth_htrf_fsk_08AUG2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530103/ccte_deisenroth_htrf_fsk_08AUG2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ccte_deisenroth_htrf_fsk_08AUG2022.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530103/ccte_deisenroth_htrf_fsk_08AUG2022.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ccte_deisenroth_htrf_08AUG2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530103/ccte_deisenroth_htrf_08AUG2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ccte_deisenroth_htrf_08AUG2022.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530103/ccte_deisenroth_htrf_08AUG2022.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-08",
      "references": [
        "https://doi.org/10.1016/j.tiv.2023.105659"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HSRP Project Data",
      "description": "Percent recovery of somatic and F+ coliphage. \n\nThis dataset is associated with the following publication:\nHurst, B.N., A. Korajkic, A. Pemberton, and B. McMinn. Improved Virus Concentration Methods for Wash Waters from Decontamination of Permeable and Non-Permeable Surfaces.   JOURNAL OF VIROLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 322: 114826, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528647",
      "keyword": [
        "hollow fiber",
        "wash water",
        "percent recovery",
        "coliphage"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "HSRP_Project Data_030323.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528647/HSRP_Project%20Data_030323.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-03",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2023.114826",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10841435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An Interlaboratory Comparison of Extractable Organofluorine Measurements in Groundwater and Eel (Anguilla rostrata): Recommendations for Methods Standardization",
      "description": "Standardized methods for organofluorine analysis are currently unavailable including for extractable organofluorine (EOF) measured using combustion ion chromatography (CIC). Here we evaluate the reproducibility, precision, and accuracy of EOF based on an international interlaboratory comparison. Seven laboratories representing academia, government, and the private sector measured paired EOF and PFAS concentrations in groundwater and eel (Anguilla rostrata) from a site contaminated by aqueous film forming foam. \n\nThis dataset is associated with the following publication:\nRuyle, B.J., H.M. Pickard, L. Schultes, F. Fredriksson, A.L. Heffernan, D.R.U. Knappe, H.L. Lord, P. Meng, M.A. Mills, K. Ndungu, P. Roesch, J.T. Rundberget, D.R. Tettenhorst, J. Van Buren, C. Vogel, D.C. Westerman, L.W.Y. Yeung, and E.M. Sunderlanda. Interlaboratory Comparison of Extractable Organofluorine Measurements in Groundwater and Eel (Anguilla rostrata): Recommendations for Methods Standardization.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(48): 20159-20168, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529107",
      "keyword": [
        "PFAS",
        "analytical method",
        "organofluorine",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Jean Van Buren",
        "hasEmail": "mailto:vanburen.jean@epa.gov"
      },
      "distribution": [
        {
          "title": "EOF_Interlab_SI_20230525.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529107/EOF_Interlab_SI_20230525.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "EOF_Interlab_SI_Tables_20230525.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529107/EOF_Interlab_SI_Tables_20230525.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-05-30",
      "references": [
        "https://doi.org/10.1021/acs.est.3c04560",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10702518"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sorption of heavy metals by hydrochar",
      "description": "Heavy metal sorption data.   Material characterization using scanning electron microscopy (SEM, Hitachi SU8020, Japan) and energy spectrometry (EDS), Fourier transform infrared (FTIR, Nichlet IS 10, USA) spectroscopy, X-ray photoelectron spectroscopy (XPS, Thermo escalab 250Xi, USA) and X-ray diffraction (XRD, BRUCKER D8 ADVANCE, Germany). This dataset is not publicly accessible because: None-EPA data - owned by the University of Florida. It can be accessed through the following means: Contact Dr. Yue Zhang at the University of Florida at 352-871-2488 . Format: The data included in the manuscript: Heavy metal sorption data in Excel; Images of scanning electron microscopy (SEM, Hitachi SU8020, Japan) and energy spectrometry (EDS). Spectra of Fourier transform infrared (FTIR, Nichlet IS 10, USA) spectroscopy, X-ray photoelectron spectroscopy (XPS, Thermo escalab 250Xi, USA), and X-ray diffraction (XRD, BRUCKER D8 ADVANCE, Germany). \n\nThis dataset is associated with the following publication:\nZhang , Y., Y. Wan, Y.  Zheng , Y. Yang, J. Huang, H. Chen, and B. Gao. Potassium permanganate modification of hydrochar enhances sorption of Pb(II), Cu(II), and Cd(II).   Bioresource Technology. Elsevier Online, New York, NY, USA, 386: 129482, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530108",
      "keyword": [
        "heavy metals",
        "biochar",
        "Metal sorption"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [],
      "modified": "2023-05-29",
      "references": [
        "https://doi.org/10.1016/j.biortech.2023.129482",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558135"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Beneficiary and Ecosystem Services Profiles from MassBays Document Analysis",
      "description": "This data set contains the output from a keyword search document analysis of MassBays NEP Assessment Area communities.  S1 is the list of keyword search terms. S2 is the list of planning documents included in the search. S3 are graphs of beneficiary profiles and ecosystem services profiles for each assessment area.  S4 are graphs of ecosystem frequencies, beneficiary profiles, and ecosystem services for each cluster. S5 is the table of socio-economic and ecological variables for each assessment area. S6 are graphs of socio-economic and ecological variables for each cluster. S7 are post-hoc statistical analysis to relate socio-economic and ecological variables to ecosystem services priorities. S8 are the frequency at which ecosystems are mentioned in documents for each assessment area. S9 is the table of beneficiary profiles for each assessment area.  S10 are the relative importance of ecosystem services attributes to each beneficiary type for each assessment area. S11 are the final ecosystem services profiles for each assessment area. S12 is the full list of final ecosystem services (an ecosystem + a beneficiary + an ecosystem services attribute) from all search documents. \n\nThis dataset is associated with the following publication:\nYee, S., L. Sharpe, B. Branoff, C. Jackson, G. Cicchetti, S. Jackson, M. Pryor, and E. Shumchenia. Ecosystem Services Profiles for Communities Benefitting from Estuarine Habitats along the Massachusetts Coast, USA.   Ecological Informatics. Elsevier Science Ltd, New York, NY, USA, 77: 102182, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528467",
      "keyword": [
        "estuary",
        "Massachusetts Bay",
        "document analysis",
        "Salt marsh",
        "tidal flats",
        "seagrass",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "Susan Yee",
        "hasEmail": "mailto:yee.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "S3_Assessment_Area_Profiles.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S3_Assessment_Area_Profiles.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S2.Document_List.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S2.Document_List.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S1.Keyword_List_MassBays.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S1.Keyword_List_MassBays.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S10.EcoServices_Per_Beneficiary_for_EachAssessmentArea_EachHabitat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S10.EcoServices_Per_Beneficiary_for_EachAssessmentArea_EachHabitat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S9.Beneficiaries_for_EachAssessmentArea_EachHabitat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S9.Beneficiaries_for_EachAssessmentArea_EachHabitat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S8.Ecosystems_EachAssessmentArea.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S8.Ecosystems_EachAssessmentArea.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S7.PostHoc_Analyses.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S7.PostHoc_Analyses.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S6_Socioeconomic_Data_By_Cluster.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S6_Socioeconomic_Data_By_Cluster.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S5.SocioEcological_Data_EachAssessmentArea.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S5.SocioEcological_Data_EachAssessmentArea.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S4_Profiles_By_Cluster.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S4_Profiles_By_Cluster.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S12.Triplets_Each_Document.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S12.Triplets_Each_Document.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "S11.FinalEcoServices_for_EachAssessmentArea_EachHabitat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528467/S11.FinalEcoServices_for_EachAssessmentArea_EachHabitat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-26",
      "references": [
        "https://doi.org/10.1016/j.ecoinf.2023.102182",
        "https://pasteur.epa.gov/uploads/10.23719/1528467/documents/MB_Assessment_Areas.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Verification of in vivo estrogenic activity for four per- and polyfluoroalkyl substances (PFAS) identified as estrogen receptor agonists via new approach methodologies (v4)",
      "description": "The dataset includes data from six experiments in which adult male fathead minnows were exposed to five concentrations of a per- or polyfluorinated alkyl substance (PFAS) and a 17beta-estradiol positive control for 96 hours. Meta data on each fish exposed including treatment, replicate, sex, whole body wet weight, and gonad weights are included. Endpoints measured include nuptial tubercle scores, gonadosomatic index, and hepatic expression of four estrogen regulated mRNA transcripts:  vitellogenin, estrogen receptor alpha, apolipoprotein eb, and insulin-like growth factor 1. The data set also includes water quality data collected over the course of each exposure, and measured concentrations of the test chemicals in water and plasma. The PFAS tested include: Perfluorooctanoic acid; 1H,1H,8H,8H-Perfluorooctane-1,8-diol; 1H,1H,10H,10H-Perfluorodecane-1,10-diol; 1H,1H,8H,8H-Perfluoro-3,6-dioxaoctane-1,8-diol; and Perfluoro-2-methyl-3-oxahexanoic acid. \n\nThis dataset is associated with the following publication:\nVilleneuve, D., B. Blackwell, J. Cavallin, J. Collins, J. Hoang, R. Hofer, K. Houck, K. Jensen, M. Kahl, R. Kutsi, A. Opseth, K. Santana Rodriguez, C. Schaupp, E. Stacy, and G. Ankley. Verification of In Vivo Estrogenic Activity for Four Per- and Polyfluoroalkyl Substances (PFAS) Identified as Estrogen Receptor Agonists via New Approach Methodologies.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(9): 3794-3803, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528334",
      "keyword": [
        "PFAS",
        "endocrine",
        "ecological risk",
        "high throughput",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS ER Studies_Science Hub_v4a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528334/PFAS%20ER%20Studies_Science%20Hub_v4a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-09",
      "references": [
        "https://doi.org/10.1021/acs.est.2c09315"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dose Response, Dosimetric, and Metabolic Evaluations of Replacement PFAS Perfluoro-(2,5,8-trimethyl-3,6,9-trioxadodecanoic) Acid (HFPO-TeA)",
      "description": "The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/toxics11120951/s1. Text S1: Chemicals; Text S2: Thyroid Hormone Chemicals and Analysis; Text S3: In Vivo Statistics; Text S4: Plasma Dosimetry Chemicals, Materials, and Analysis; Text S5: Normalization of Dosimetry Data Calculations; Text S6: Liver Dosimetry Chemicals, Materials, and Analysis; Text S7: Liver-to-Plasma Partitioning Calculations; Text S8: Non-Targeted Analysis Method and Data Processing; Text S9: Hepatocyte Metabolic Stability Assay Materials, Chemicals, and Calculations; Text S10: Plasma Protein Binding Materials, Chemicals, Assay Design, and Calculations; Text S11: In Vitro–In Vivo Extrapolation (IVIVE) Calculations. Table S1: Data processing parameters used with Sciex OS 3.0; Table S2: Data processing parameters used with Sciex MarkerView 1.3.1; Table S3: Chemical identification, vendor, purity, and experiment usage for all analytes and internal standards; Table S4: Mobile phase gradient for targeted analysis of thyroid hormones in plasma on a Sciex 6500+ QTRAP. Both mobile phases contained 0.1% formic acid as an additive; Table S5: Various instrument conditions for plasma thyroid hormone quantitation on a Sciex 6500+ QTRAP; Table S6: Monitored transitions for analysis of thyroid hormones and 13C-labeled internal standards on a Sciex 6500+ QTRAP. All ions were acquired in positive ion mode; Table S7: Mobile phase gradient for targeted analysis of HFPO-TeA on a Sciex X500R QTOF/MS. Both mobile phases contained ammonium formate (4 mM) as an additive; Table S8: Various instrument conditions for sample analysis on a Sciex X500R QTOF/MS; Table S9: Monitored transitions for analysis of HFPO-TeA using PFHxDA as an internal standard on a Sciex X500R QTOF/MS. The ion of m/z 350.97 is the in-source fragment formed from the HFPO-TeA molecular ion of m/z 660.97. All ions were acquired in negative ion mode; Table S10: Mobile phase gradient for non-targeted analysis on a Sciex X500R QTOF/MS. Ammonium formate (4 mM) was present in both mobile phases as an additive; Table S11: Mobile phase gradient for targeted analysis of HFPO-TeA on a Waters Xevo-TQS. Both mobile phases contained the additive ammonium acetate (2.5 mM); Table S12: Various instrument conditions for hepatocyte clearance and protein plasma binding assays on a Waters Xevo-TQS; Table S13: Monitored transitions for analysis of the in vitro analytes using a Waters Xevo-TQS; Table S14: Individual body weights, absolute liver weights, and relative liver weights for all rats after 5 days of exposure; Table S15: Individual concentrations for plasma T3, rT3, and T4 in all rats after 5 days of exposure to HFPO-TeA. N/A = Calculation not completed due the majority of samples being below the LOQ; Table S16: Individual HFPO-TeA plasma and plasma extract concentrations for all rats after 2 h of exposure... \n\nThis dataset is associated with the following publication:\nRenyer, A., K. Ravindra, B. Wetmore, J. Ford, M. Devito, M. Hughes, L. Wehmas, and D. Macmillan. Dose Response, Dosimetric, and Metabolic Evaluations of Replacement PFAS Perfluoro-(2,5,8-trimethyl-3,6,9-trioxadodecanoic) Acid (HFPO-TeA).   Toxics. MDPI, Basel,  SWITZERLAND, 11(12): 951, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529959",
      "keyword": [
        "plasma protein binding",
        "PFAS",
        "thyroid disruption",
        "hepatic clearance",
        "dosimetry",
        "IVIVE",
        "PFECA",
        "non-targeted analysis"
      ],
      "contactPoint": {
        "fn": "Denise Macmillan",
        "hasEmail": "mailto:macmillan.denise@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables and Figures.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529959/Tables%20and%20Figures.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Calculations Sheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529959/Calculations%20Sheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-18",
      "references": [
        "https://doi.org/10.3390/toxics11120951",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10747602"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations",
      "description": "Supplemental data for \"LaLone CA, Blatz DJ, Jensen MA, Vliet SMF, Mayasich S, Mattingly KZ, Transue TR, Melendez W, Wilkinson A, Simmons CW, Ng C, Zhang C, Zhang Y. From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations. Environ Toxicol Chem. 2023 Feb;42(2):463-474. doi: 10.1002/etc.5537. Epub 2023 Jan 16. PMID: 36524855.\". \n\nThis dataset is associated with the following publication:\nLalone, C., D. Blatz, M. Jensen, S. Vliet, S. Mayasich, K. Mattingly, T. Transue, W. Melendez, A. Wilkinson, C. Simmons, C. Ng, C. Zhang, and Y. Zhang. From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 42(2): 463-474, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530080",
      "keyword": [
        "bioinformatics",
        "Protein Structure",
        "Species Extrapolation",
        "SeqAPASS",
        "Predictive Toxicology",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "etc5537-sup-0003-supplemental_data_s3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0003-supplemental_data_s3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "etc5537-sup-0002-supplemental_data_s2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0002-supplemental_data_s2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "etc5537-sup-0001-supplemental_data_s1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0001-supplemental_data_s1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "etc5537-sup-0006-additional_supporting_information.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0006-additional_supporting_information.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "etc5537-sup-0005-supplemental_data_s5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0005-supplemental_data_s5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "etc5537-sup-0004-supplemental_data_s4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530080/etc5537-sup-0004-supplemental_data_s4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-06",
      "references": [
        "https://doi.org/10.1002/etc.5537"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment",
      "description": "Supplementary data for \"Wikoff D, Ring C, DeVito M, Walker N, Birnbaum L, Haws L. Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment. Regul Toxicol Pharmacol. 2023 Dec;145:105500. doi: 10.1016/j.yrtph.2023.105500. Epub 2023 Oct 21. PMID: 37866700.\". \n\nThis dataset is associated with the following publication:\nWikoff, D., C. Ring, M. Devito, N. Walker, L. Birnbaum, and L. Haws. Development and application of a systematic and quantitative weighting framework to evaluate the quality and relevance of relative potency estimates for dioxin-like compounds (DLCs) for human health risk assessment.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 145: 105500, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530093",
      "keyword": [
        "Relative potency",
        "PCBs",
        "REPs",
        "Environmental Justice",
        "Children's Environmental Health",
        "TEFs",
        "dioxins",
        "Bayesian",
        "Quality",
        "Risk Assessment",
        "Integration"
      ],
      "contactPoint": {
        "fn": "Michael Devito",
        "hasEmail": "mailto:devito.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530093/Supplementary%20data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-09-28",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2023.105500"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes",
      "description": "Dataset for Rogers, et al., 'High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes', published in Environmental Science & Technology, doi https://doi.org/10.1021/acs.est.3c07525. Contains 7 files \nHTTr analysis of water extracts_SI_v3: Supplemental information with detailed descriptions of cell culture, exposure to water extracts, cell viability assays, HTTr assay, and HTTr data processing, and Figures S1–S4 detailing cell viability results, HTTr quality control results, signature-level potency magnitude comparisons, and gene/signature activity of laboratory blanks (PDF)\nTable S1: well-level cell viability metrics for water extracts (XLSX)\nTable S2: treatment-level cell viability metrics for water extracts (XLSX)\nTable S3: well-level HTTr quality control metrics for water extracts (XLSX)\nTable S4: signature collection used for HTTr signature concentration–response modeling (XLSX)\nTable S5: signature concentration-modeling profiling results for water extracts (XLSX)\nTable S6: gene concentration-modeling profiling results for water extracts (XLSX). \n\nThis dataset is associated with the following publication:\nRogers, J., F. Leusch, B. Chambers, K. Daniels, L. Everett, R. Judson, K. Maruya, A. Mehinto, P. Neale, K. Friedman, R. Thomas, S. Snyder, and J. Harrill. High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(4): 2027-2037, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530112",
      "keyword": [
        "differentially expressed genes",
        "high throughput transcriptomics",
        "MCF7",
        "Recycled Water",
        "water quality",
        "Water Cycle"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65c5075ae4b063812d6939f9",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65c5075ae4b063812d6939f9",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-27",
      "references": [
        "https://doi.org/10.1021/acs.est.3c07525"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species",
      "description": "Supplementary data for \"Peter Schumann, Claudia Rivetti, Jade Houghton, Bruno Campos, Geoff Hodges, Carlie LaLone, Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species, Science of The Total Environment, Volume 912, 2024, 168573, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.168573.\". \n\nThis dataset is associated with the following publication:\nSchumann, P., C. Rivetti, J. Houghton, B. Campos, G. Hodges, and C. LaLone. Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 912: 168573, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530084",
      "keyword": [
        "ecotoxicology",
        "Species conservation analysis",
        "Genes to pathways",
        "SeqAPASS",
        "new approach methodologies",
        "Biological pathways",
        "In silico methods"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0048969723072017-mmc4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0048969723072017-mmc3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0048969723072017-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0048969723072017-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.168573"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells",
      "description": "Dataset for 'Effects of multi-walled carbon nano tubes on human lung epithelial BEAS-2B cells' journal article by Sheau-Fung Thai, et al., to be published in Materials Express.\n\nFor the data set:\nDEG: differentially expressed genes\n33-MWCNT: parent MWCNT \n55-OH-MWCNT: MWCNT modified with -OH group\n66-COOH-MWCNT: MWCNT modified with -COOH group. \n\nThis dataset is associated with the following publication:\nThai, S., C. Jones, B. Robinette, G. Nelson, A. Tennant, H. Ren, B. Vallanat, A. Astriab Fisher, J. Ross, and K. Kitchin. Effects of multi-walled carbon nanotubes on message and Micro-RNA in human lung BEAS-2B cells.   Materials Express. American Scientific Publishers, VALENCIA, CA, USA, 14(2): 249-263, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529905",
      "keyword": [
        "Multi-walled carbon nanotubes",
        "signaling pathways",
        "microrna",
        "Target Filter Analysis"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "DEG-0.05-GRC337_resultsubset_55_low - .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC337_resultsubset_55_low%20-%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC337_resultsubset_55_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC337_resultsubset_55_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC337_resultsubset_55_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC337_resultsubset_55_3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC337_resultsubset_55_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC337_resultsubset_55_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_66_low .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_66_low%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_66_30 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_66_30%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "DEG-0.05-GRC336_resultsubset_66_10 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_66_10%20.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_66_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_66_3.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_66_1 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_66_1%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_55_30 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_55_30%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_33_low .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_33_low%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_33_30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_33_30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_33_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_33_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_33_3 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_33_3%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DEG-0.05-GRC336_resultsubset_33_1 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/DEG-0.05-GRC336_resultsubset_33_1%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "all signaling pathway IPA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529905/all%20signaling%20pathway%20IPA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-04",
      "references": [
        "https://doi.org/10.1166/mex.2024.2620"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Climate change will impact surface water extents across the central United States - underlying data",
      "description": "surface water data and projections produced for 32 sites in the central US. Surface water data consists of open and vegetated surface water 2 week averages from 2017-2021. \n\nThis dataset is associated with the following publication:\nVanderhoof, M., J. Christensen, L. Alexander, C. Lane, and H. Golden. Climate Change Will Impact Surface Water Extents and Dynamics Across the Central United States.   Earth�s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 12(2): e2023EF004106, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529434",
      "keyword": [
        "midwest",
        "southeast",
        "prarie pothole region",
        "lakes",
        "southwest",
        "drought",
        "floodplains",
        "inundation",
        "climate change",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9UOACNH",
          "accessURL": "https://doi.org/10.5066/P9UOACNH",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-17",
      "references": [
        "https://doi.org/10.1029/2023ef004106"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Establishing performance metrics for quantitative non-targeted analysis: a demonstration using per- and poly-fluoroalkyl substances",
      "description": "Non-targeted analysis (NTA) is an increasingly popular technique for characterizing undefined chemical analytes. Generating quantitative NTA (qNTA) concentration estimates requires the use of training data from calibration “surrogates”. The use of surrogate training data can yield diminished performance of concentration estimation approaches. In order to evaluate performance differences between targeted and qNTA approaches, we defined new metrics that convey predictive accuracy, uncertainty (using 95% inverse confidence intervals), and reliability (the extent to which confidence intervals contain true values). We calculated and examined these newly defined metrics across five quantitative approaches applied to a mixture of 29 per- and polyfluoroalkyl substances (PFAS). The quantitative approaches spanned a traditional targeted design using chemical-specific calibration curves to a generalizable qNTA design using bootstrap-sampled calibration values from chemical surrogates. \n\nThis dataset is associated with the following publication:\nPu, S., J. McCord, J. Bangma, and J. Sobus. Establishing performance metrics for quantitative non-targeted analysis: a demonstration using per- and polyfluoroalkyl substances.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 416: 1249-1267, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529977",
      "keyword": [
        "qNTA",
        "chemical analytes",
        "PFAS",
        "performance metrics"
      ],
      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "Pu_et_al_qNTA_metric_Supplementary_File_2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529977/Pu_et_al_qNTA_metric_Supplementary_File_2.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pu_et_al_2023_qNTA_metrics_Supplementary_File_5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529977/Pu_et_al_2023_qNTA_metrics_Supplementary_File_5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-04",
      "references": [
        "https://doi.org/10.1007/s00216-023-05117-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10850229"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mass spec data from AFFF headspace and combustion",
      "description": "This data represents processed data from chemical ionization time of flight mass spectrometry instrument used to generate each figure in the manuscript. A data dictionary is included in the dataset. \n\nThis dataset is associated with the following publication:\nMattila, J., J. Krug, W. Roberson, R. Burnette, S. McDonald, P. Virtaranta, J. Offenberg, and W. Linak. Characterizing volatile emissions and combustion by-products from aqueous film-forming foams using online chemical ionization mass spectrometry.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  0, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529810",
      "keyword": [
        "PFAS",
        "thermal treatment",
        "AFFF",
        "Chemical Ionization Mass Spectrometry"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "FigureS8.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS8.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS7.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS7.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS6.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS6.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS5.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS5.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureS1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/FigureS1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure4.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/Figure4.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure3.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/Figure3.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/Figure2.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure1.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/Figure1.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529810/Data%20dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-17",
      "references": [
        "https://doi.org/10.1021/acs.est.3c09255"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in the analysis documented in \"Revisiting Day-of-Week Ozone Patterns in an Era of Evolving U.S. Air Quality\"",
      "description": "This dataset hosted at https://zenodo.org/records/10222897 contains observed and CMAQ estimated gas species data and meteorological data that were used in the analysis documented in the manuscript \"Revisiting Day-of-Week Ozone Patterns in an Era of Evolving U.S. Air Quality\".  The files are packages as a set of .tar.gz files with a corresponding Data Dictionary that contains meta data for each data file. \n\nThis dataset is associated with the following publication:\nSimon, H., C. Hogrefe, A. Whitehill, K. Foley, J. Liljegren, N. Possiel, B. Wells, B. Henderson, L. Valin, G. Tonnesen, K. Appel, and S. Koplitz. Revisiting day-of-week ozone patterns in an era of evolving US air quality.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 24(3): 1855-1871, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529980",
      "keyword": [
        "Weekend",
        "Ozone",
        "Chemical Regime",
        "Weekday",
        "EQUATES"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/10222897",
          "accessURL": "https://zenodo.org/records/10222897",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-29",
      "references": [
        "https://doi.org/10.5194/acp-24-1855-2024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Building Resilience to Extreme Weather Events in Phoenix: Considering Contaminated Sites and Under-resourced Communities",
      "description": "The dataset includes tables of the 58 indicator datasets (dataset descriptions, data formats, links to publicly available data sources for producing GIS data layers). \n\nThis dataset is associated with the following publications:\nSinha, P., M. Fry, S. Julius, R. Truesdale, J. Cajka, M. Eddy, P. Doraiswamy, R. Albright, J. Riemenschneider, M. Potzler, B. Lim, J. Richkus, and M. O'Neal. Building Resilience to Extreme Weather Events in Phoenix: Considering Contaminated Sites and Under-resourced Communities.   Climate Risk Management. Elsevier B.V., Amsterdam,  NETHERLANDS, 43: 100586, (2024).\nSinha, P., R. Truesdale, M. Fry, and S. Julius. Handbook on Indicators of Community Vulnerability to Extreme Events: Considering Sites and Waste Management Facilities. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.\nSinha, P., S. Julius, M. Fry, R. Truesdale, J. Cajka, M. Eddy , P. Doraiswamya, and D. Womacka. Assessing community vulnerability to extreme events in the presence of contaminated sites and waste management facilities: An indicator approach.   Urban Climate. Elsevier Science, New York, NY,   53(101800): 1-30, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530277",
      "keyword": [
        "indicators",
        "Vulnerability"
      ],
      "contactPoint": {
        "fn": "Meridith Fry",
        "hasEmail": "mailto:fry.meridith@epa.gov"
      },
      "distribution": [
        {
          "title": "https://assessments.epa.gov/risk/document/&deid=358458",
          "accessURL": "https://assessments.epa.gov/risk/document/&deid=358458",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-01",
      "references": [
        "https://doi.org/10.1016/j.crm.2024.100586",
        "https://www.epa.gov/research",
        "https://doi.org/10.1016/j.uclim.2023.101800"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linked data for Wildfire Impact Modeling with Counterfactual Probabilistic Analysis",
      "description": "The datasets analyzed for this study can be found in the USDA Forest Service Research Data Archive. The \"date of last update\" was required in this entry but I could not find exact information on this in the Forest Service data repository website but metadata indicated April of 2022 upload. \n\nThis dataset is associated with the following publication:\nThompson, M.P., and J.F. Carriger. Avoided wildfire impact modeling with counterfactual probabilistic analysis.  Luciana Ghermandi  Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 6: 1266413, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529354",
      "keyword": [
        "computer simulation",
        "Risk",
        "event attribution",
        "climate",
        "fuels management",
        "mitigation",
        "effectiveness"
      ],
      "contactPoint": {
        "fn": "John Carriger",
        "hasEmail": "mailto:carriger.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.2737/RDS-2022-0026",
          "accessURL": "https://doi.org/10.2737/RDS-2022-0026",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-15",
      "references": [
        "https://doi.org/10.3389/ffgc.2023.1266413"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data on county-level forest tree carbon estimates from Reese et al. \"Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition\"",
      "description": "This is the data for Reese et al. in Environmental Research Letters  \"Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition.\" It includes the estimated forest aboveground carbon from 2010 to 2100 for each forested county in the contiguous U.S. across all 20 scenarios analyzed. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530107",
      "keyword": [
        "biodiversity",
        "carbon",
        "forest",
        "Tree",
        "climate change",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub data_Reese et al_Forest carbon by county by scenario 2010 to 2100.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530107/Science%20Hub%20data_Reese%20et%20al_Forest%20carbon%20by%20county%20by%20scenario%202010%20to%202100.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Facilities Status Dashboard",
      "description": "A portion of the data used is publicly available through John Hopkins Coronavirus Resource Center and CDC COVID Data Tracker. Another portion data is password protected through HHS Protect. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: https://covid.cdc.gov/covid-data-tracker/#county-view and https://coronavirus.jhu.edu/map.html. For the data through HHS Protect, interested parties must submit a request to HHS. Format: Much of the data is publicly available at https://coronavirus.jhu.edu/map.html and https://covid.cdc.gov/covid-data-tracker/#county-view. What is not publicly available is through HHS Protect which is password protected. \n\nThis dataset is associated with the following publication:\nBaxter, L., J. Baynes, A. Weaver, A. Neale, T. Wade, M. Mehaffey, D. Lobdell, K. Widener, and W. Cascio. Development of the United States Environmental Protection Agency’s Facilities Status Dashboard for the COVID-19 Pandemic: Approach and Challenges..   International Journal of Public Health. Springer Basel AG, Basel,  SWITZERLAND, 61(1604761): 9, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523054",
      "keyword": [
        "COVID-19",
        "public health",
        "Risk Communications",
        "epidemiology"
      ],
      "contactPoint": {
        "fn": "Lisa Baxter",
        "hasEmail": "mailto:baxter.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2021-08-25",
      "references": [
        "https://doi.org/10.3389/ijph.2022.1604761",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9172581"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists",
      "description": "\"Morshead ML, Jensen KM, Ankley GT, Vliet S, LaLone CA, Aller AV, Watanabe KH, Villeneuve DL. Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists. Aquat Toxicol. 2023 Aug;261:106607. doi: 10.1016/j.aquatox.2023.106607. Epub 2023 Jun 9. PMID: 37354817.\". \n\nThis dataset is associated with the following publication:\nMorshead, M., K. Jensen, G. Ankley, S. Vliet, C. LaLone, D. Villeneuve, A. Vidales Aller, and K. Watanabe. Putative adverse outcome pathway development based on physiological responses of female fathead minnows to model estrogen versus androgen receptor agonists.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 261: 106607, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530091",
      "keyword": [
        "Mixture",
        "adverse outcome pathway",
        "fish",
        "reproduction",
        "endocrine disruption"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary materials.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530091/Supplementary%20materials.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://clowder.edap-cluster.com/datasets/65be6cd9e4b063812d68d5bd",
          "accessURL": "https://clowder.edap-cluster.com/datasets/65be6cd9e4b063812d68d5bd",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CSS.4.6.2.1_ORD-053574_Morshead et al Data for Science Hub .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530091/CSS.4.6.2.1_ORD-053574_Morshead%20et%20al%20Data%20for%20Science%20Hub%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-07",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2023.106607"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells",
      "description": "Supplemental datafiles for journal article 'High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells'.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530097",
      "keyword": [
        "computational toxicology",
        "U-2 OS",
        "New Approach Methods",
        "bioinformatics",
        "high throughput transcriptomics"
      ],
      "contactPoint": {
        "fn": "Joseph Bundy",
        "hasEmail": "mailto:bundy.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65959df8e4b063812d5c7706",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65959df8e4b063812d5c7706",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset title: Postfire summer stream water temperature",
      "description": "Data Description: Water temperature, precipitation, and watershed attributes for burned and unburned watershed sites in the Pacific Northwest. \n\nThis dataset is associated with the following publication:\nBeyene, M., and S. Leibowitz. Heterogeneity in post-fire thermal responses across Pacific Northwest streams: A multi-site study.   Journal of Hydrology X. Elsevier B.V., Amsterdam,  NETHERLANDS, 23(1): 100173, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529168",
      "keyword": [
        "water quality",
        "wildfire",
        "Pacific Northwest",
        "summer stream temperature"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "Burned_watershed_Attributes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529168/Burned_watershed_Attributes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Burned_Sites_WT_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529168/Burned_Sites_WT_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Burned_Sites_PPT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529168/Burned_Sites_PPT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Burned_Sites_AirT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529168/Burned_Sites_AirT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-30",
      "references": [
        "https://doi.org/10.1016/j.hydroa.2024.100173"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hepatic Transcriptome Comparative In Silico Analysis Reveals Similar Pathways and Targets Altered by Legacy and Alternative Per- and Polyfluoroalkyl Substances in Mice",
      "description": "Dataset for Robarts et al., 'Hepatic Transcriptome Comparative In Silico Analysis Reveals Similar Pathways and Targets Altered by Legacy and Alternative Per- and Polyfluoroalkyl Substances in Mice' published in Toxics, DOI https://doi.org/10.3390/toxics11120963, PMCID 10748317. \n\nThis dataset is associated with the following publication:\nRobarts, D., J. Dai, C. Lau, U. Apte, and J. Corton. Hepatic Transcriptome Comparative In Silico Analysis Reveals Similar Pathways and Targets Altered by Legacy and Alternative Per- and Polyfluoroalkyl Substances in Mice.   Toxics. MDPI, Basel,  SWITZERLAND, 11(12): 963, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530278",
      "keyword": [
        "toxicogenomics",
        "PPARα",
        "STAT5b",
        "SREBP",
        "GenX"
      ],
      "contactPoint": {
        "fn": "Jon Corton",
        "hasEmail": "mailto:corton.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Table S1. Compound Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530278/Table%20S1.%20Compound%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Table S2. IPA Canonical Pathways.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530278/Table%20S2.%20IPA%20Canonical%20Pathways.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Table S3. BSCE.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530278/Table%20S3.%20BSCE.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Table S4. IPA Upstream Regulators.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530278/Table%20S4.%20IPA%20Upstream%20Regulators.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Table S5. Biomarkers.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530278/Table%20S5.%20Biomarkers.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-14",
      "references": [
        "https://doi.org/10.3390/toxics11120963",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10748317"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Applying Microelectrodes to Investigate Aged Ductile Iron and Copper Coupon Reactivity during Free Chlorine Application Data Set",
      "description": "Data set associated with manuscript Applying Microelectrodes to Investigate Aged Ductile Iron and Copper Coupon Reactivity during Free Chlorine Application. \n\nThis dataset is associated with the following publication:\nLiggett, J., B. Gonzalez, D. Lytle, J. Pressman, D.  Dionysiou, W.H. Lee, S. Harmon, and D. Wahman. Applying Microelectrodes to Investigate Aged Ductile Iron and Copper Coupon Reactivity during Free Chlorine Application.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 253: 121324, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529610",
      "keyword": [
        "Ductile Iron",
        "microelectrode",
        "Copper",
        "corrosion"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Applying_Microelectrodes_to_Investigate_Aged_Ductile_Iron_and_Copper_Coupon_Reactivity_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529610/Applying_Microelectrodes_to_Investigate_Aged_Ductile_Iron_and_Copper_Coupon_Reactivity_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-26",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.121324"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Edge-of-field agricultural conservation practice studies in the Corn Belt region",
      "description": "Summary dataset showing reviewed literature related to edge-of-field agricultural conservation practices in the Corn Belt region. \n\nThis dataset is associated with the following publication:\nMitchell, M., T. Newcomer Johnson, J. Christensen, W. Crumpton, B. Dyson, T. Canfield, M. Helmers, and K. Forshay. A review of ecosystem services from edge-of-field practices in tile-drained agricultural systems in the United States Corn Belt Region.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 348: 119220, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529113",
      "keyword": [
        "Land management",
        "climate change",
        "biodiversity",
        "Agriculture",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub Data_Supplemental Table 2_Reviewed Literature.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529113/ScienceHub%20Data_Supplemental%20Table%202_Reviewed%20Literature.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-02",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.119220"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Glucose Suppressed Cyanobacterial Abundance ",
      "description": "Data shows that prophylactic addition of glucose to Harsha Lake water samples could inhibit cyanobacteria growth based on metagenomic sequencing data used to examine differences in the composition of bacterial communities between Treated and Control containers. The sequencing data shows that the addition of glucose to a container receiving weekly additions of Lake water suppressed the cyanobacterial populations during the entire summer bloom season. \n\nThis dataset is associated with the following publication:\nLinz, D., I. Struewing, N. Sienkiewicz, A.D. Steinman, C.G. Partridge, K. McIntosh, J. Lu, and S. Vesper. Periodic Addition of Glucose Suppressed Cyanobacterial Abundance in Additive Lake Water Samples during the Entire Bloom Season.   Journal of Water Resource and Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 16: 140-15, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529157",
      "keyword": [
        "glucose",
        "sequencing",
        "16S amplicon",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA972685",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA972685",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-16",
      "references": [
        "https://doi.org/10.4236/jwarp.2024.162009"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sister Study - Neighborhood greenery, depressive symptoms, and redlining",
      "description": "This dataset contains health outcome (depressive symptoms defined by CES-D 10), neighborhood greenery (percent tree cover within 500m and 2000m from residences), historical HOLC grades, and sociodemographic factors (age, race/ethnicity, marital status, education, employment status, income, use of depression medication) for 3555 Sister Study participants. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please submit data request through https://sisterstudy.niehs.nih.gov/English/coll-data.htm. Format: The Sister Study data are released in SAS format. \n\nThis dataset is associated with the following publication:\nTsai, W., M. Nash, D. Rosenbaum, S. Prince, A. D'Aloisio, M. Mehaffey, D. Sandler, T. Buckley, and A. Neale. Association of Redlining and Natural Environment with Depressive Symptoms in Women in the Sister Study.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 131(10): 107009, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527959",
      "keyword": [
        "Depressive symptoms",
        "Neighborhood greenery",
        "redlining",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Wei-Lun Tsai",
        "hasEmail": "mailto:tsai.wei-lun@epa.gov"
      },
      "distribution": [],
      "modified": "2022-08-17",
      "references": [
        "https://doi.org/10.1289/ehp12212",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Dataset for Extracellular Vesicles altered by Per- and Polyfluoroalkyl Substance Mixtures: In Vitro Dose-Dependent Release, Chemical Content, and MicroRNA Signatures involved in Liver Health.",
      "description": "These data represent underlying data generated for the study titled 'Extracellular Vesicles altered by Per- and Polyfluoroalkyl Substance Mixtures: In Vitro Dose-Dependent Release, Chemical Content, and MicroRNA Signatures involved in Liver Health'. Data include extracellular vesicle particle count and size distribution from nanoparticle tracking analysis; microRNA expression data from mRNA sequencing in extracellular vesicles; PFAS signature data from mass spectrometry analysis of isolated HepG2 cell lysates and their secreted extracellular vesicles; in vitro cell viability data. \n\nThis dataset is associated with the following publication:\nCarberry, C., J. Bangma, L. Koval, D. Keshava, h. Hartwell, M. Sokolsky, R. Fry, and J. Rager. Extracellular vesicles altered by a per- and polyfluoroalkyl substance mixture: in vitro dose-dependent release, chemical content, and microRNA signatures involved in liver health.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  197(2): 155-169, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529913",
      "keyword": [
        "Mixtures",
        "PFAS",
        "liver toxicity",
        "extracellular vesicles"
      ],
      "contactPoint": {
        "fn": "Jacqueline Bangma",
        "hasEmail": "mailto:bangma.jacqueline@epa.gov"
      },
      "distribution": [
        {
          "title": "PFASEVs_Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529913/PFASEVs_Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-02-16",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad108",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10823775"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Post ingestion bioaccessibility of pesticides sorbed to soils and house dusts",
      "description": "post ingestion bioaccessibility data for pesticides. \n\nThis dataset is associated with the following publication:\nParker, B., E. Valentini, S. Graham, and J. Starr. In vitro modeling of the post-ingestion bioaccessibility of per- and polyfluoroalkyl substances sorbed to soil and house dust.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  197(1): 95-103, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527792",
      "keyword": [
        "House dust",
        "bioaccesibility",
        "soil",
        "ingestion",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS Bioaccessibility Data Set For clearance 071122.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527792/PFAS%20Bioaccessibility%20Data%20Set%20For%20clearance%20071122.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-29",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Baker et al. 2023 (\"Projecting I.S. forest management...https://doi.org/10.1016/j.forpol.2022.102898)",
      "description": "This is the data for Baker et al., contact Jeremy Martinich for additional information (martinich.jeremy@epa.gov). This dataset is not publicly accessible because: The data is owned by OAR, not ORD, and they host it. It can be accessed through the following means: Email Jeremy Martinich in EPA\"s Office of Atmospheric Programs (martinich.jeremy@epa.gov). Format: N/A. \n\nThis dataset is associated with the following publication:\nBaker, J., G. van Houtven, J. Phelan, G. Latta, C. Clark, K. Austin, O. Sodiya, S. Bushey Ohrel, J. Buckley, L. Gentile, and J. Martinich. Projecting U.S. forest management, market, and carbon sequestration responses to a high-impact climate scenario manuscript.   Forest Policy and Economics. Elsevier BV, AMSTERDAM,  NETHERLANDS, 147(February 2023): 1-17, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530322",
      "keyword": [
        "Forest Biomass",
        "Timber",
        "FASOM",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.forpol.2022.102898",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013705"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Liquid Application Dosing Alters Air-Liquid-Interface Bronchial Epithelial Culture Physiology and Toxicity Testing Relevant Endpoints",
      "description": "Data accompanying the manuscript titled, \"Liquid Application Dosing Alters Air-Liquid-Interface Bronchial Epithelial Culture Physiology and Toxicity Testing Relevant Endpoints\"\n\nAuthors: Nicholas M. Mallek, Elizabeth M. Martin, Lisa A. Dailey, and Shaun D. McCullough. \n\nThis dataset is associated with the following publication:\nMallek, N., E. Martin, L. Dailey, and S. McCullough. Liquid Application Dosing Alters the Physiology of Air-Liquid Interface (ALI) Primary Human Bronchial Epithelial Cell/Lung Fibroblast Co-Cultures and In Vitro Testing Relevant Endpoints.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 5: 1264331, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526421",
      "keyword": [
        "primary",
        "NAMs",
        "inhalation",
        "in vitro",
        "chlorothalonil",
        "bronchial",
        "ALI",
        "air-liquid inter"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
      "distribution": [
        {
          "title": "Mallek et al_Liquid Application_Data_Growth Factor ELISA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_Data_Growth%20Factor%20ELISA.xlsx",
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          "title": "Mallek et al_Liquid Application_Data_Analysis of Re-Sub Rep3-5 Export_RAW DATA.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_Data_Analysis%20of%20Re-Sub%20Rep3-5%20Export_RAW%20DATA.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mallek et al_Liquid Application_Data_Analysis of Re-Sub CBF_Processed Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_Data_Analysis%20of%20Re-Sub%20CBF_Processed%20Data.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application%20Data_PHBEC%2024h%20Gene%20Lists_Raw_Thresholded.xlsx",
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        },
        {
          "title": "Liquid Application Manuscript Prism File.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Liquid%20Application%20Manuscript%20Prism%20File.zip",
          "mediaType": "application/x-zip-compressed",
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        },
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          "title": "Mallek et al_Liquid Application_Western Blots.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_Western%20Blots.pdf",
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          "title": "Mallek et al_Liquid Application_p38 Densitometry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_p38%20Densitometry.xlsx",
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        },
        {
          "title": "Mallek et al_Liquid Application_HIF1a Densitometry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_HIF1a%20Densitometry.xlsx",
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        {
          "title": "Mallek et al_Liquid Application_ERK Densitometry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526421/Mallek%20et%20al_Liquid%20Application_ERK%20Densitometry.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "modified": "2022-05-09",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1264331"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
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      "accessRights": "public"
    },
    {
      "title": "Responses to Wildfire and Prescribed Fire Smoke: A Survey of a Medically Vulnerable Adult Population in the Wildland-Urban Interface, Mariposa County, California",
      "description": "Using a cross-sectional design, we surveyed participants in the program, Support and Aid for Everyone (SAFE) operated by Mariposa County Health and Human Services Agency (MC), which assists persons who self-identify as having special needs in an emergency, e.g., use wheelchairs or electrical medical equipment.  \nA questionnaire was distributed to SAFE participants on behalf of California Department of Public Health (CDPH) by MC staff allowed for anonymous participation. Following a modified Dillman method, the survey was mailed, with a phone interview option. Reminders were made by postcard and follow-up calls by MC staff. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data analysis files are available from the corresponding author upon reasonable request to Sumi Hoshiko sumi.hoshiko@cdph.ca.gov. Format: Raw data from this study will not be made publicly available to protect confidentiality. Data analysis files are available from the corresponding author upon reasonable request to Sumi Hoshiko sumi.hoshiko@cdph.ca.gov. \n\nThis dataset is associated with the following publication:\nRappold, A., S. Hoshiko, J. Buckman, C.G. Jones, K. Yeomans, A. Mello, R. Thilakaratne, E. Sergienko, MD, K. Allen, and L. Bello. Responses to wildfire and prescribed fire smoke: A survey of a medically vulnerable adult population in the wildland-urban interface, Mariposa County, California.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 20(2): 1, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530329",
      "keyword": [
        "wildfire",
        "prescribed fire",
        "smoke",
        "Adaptive Capacity",
        "vulnerable populations",
        "prescribed burns",
        "Wildland Fire",
        "managed fire",
        "wildland-urban-interface"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-23",
      "references": [
        "https://doi.org/10.3390/ijerph20021210",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858942"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Dataset_Urban_Lakes",
      "description": "The dataset including qPCR and sequences is used for cyanobacterial characterization and qPCR assay evaluation. \n\nThis dataset is associated with the following publication:\nJeon, Y., I. Struewing, K. McIntosh, M. Tidd, L. Webb, H. Ryu, H. Mash, and J. Lu. Spatial and Temporal Variability of Saxitoxin-Producing Cyanobacteria in U.S. Urban Lakes.   Toxins. MDPI, Basel,  SWITZERLAND, 16(2): 70, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529357",
      "keyword": [
        "saxitoxin",
        "sxtA gene",
        "cyanotoxin producer",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_Urban_Lakes.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529357/Dataset_Urban_Lakes.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-13",
      "references": [
        "https://doi.org/10.3390/toxins16020070",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10892283"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients",
      "description": "This dataset contains information on air pollution exposure, census block group socioeconomic status, hospital procedures, demographics, and disease diagnosis history for heart failure patients in North Carolina (seen at a UNCHCS hospital or clinic). This dataset is not publicly accessible because: This data is composed of electronic health records containing PII and thus cannot be included in ScienceHub or released to the public. It can be accessed through the following means: The data can be accessed with written request accompanied by an appropriate, approved IRB application. Format: The data contains details on the air pollution exposure, performed hospital procedures, census tract socioeconomic status, and diagnoses information (including dates of diagnoses) for heart failure patients seen at UNCHCS hospital or clinic. The data is in tabular (flatfile) format. \n\nThis dataset is associated with the following publication:\nCatalano, S., J. Moyer, A. Weaver, Q. Di, J. Schwartz, M. Caralano, and C. Ward-Caviness. Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients..   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(5): e0283759, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530328",
      "keyword": [
        "air pollution",
        "hospital procedures",
        "electronic health records"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2023-05-03",
      "references": [
        "https://doi.org/10.1371/journal.pone.0283759",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155991"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NOAA Data",
      "description": "Data owner is Sachidananda Mishra (sachi.mishra@noaa.gov) and Richard Stumpf at NOAA. This dataset is not publicly accessible because: Data is property of NOAA. It can be accessed through the following means: Data owner is Sachidananda Mishra (sachi.mishra@noaa.gov) and Richard Stumpf at NOAA. Format: Data is raster format and table format. \n\nThis dataset is associated with the following publication:\nMishra, S., R. Stumpf, B. Schaeffer, and P.J. Werdell. Recent changes in cyanobacteria algal bloom magnitude in large lakes across the contiguous United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 897: 165253, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530327",
      "keyword": [
        "satellite",
        "Harmful Algal Blooms",
        "water quality",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2023-04-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.165253",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10835736"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CyAN Predictor Ranks - Upper Midwest USA",
      "description": "This dataset ranks 88 predictors run in a random forest analysis for 369 freshwater lakes in the Upper Midwest USA. \n\nThis dataset is associated with the following publication:\nIiames, J., W. Salls, M. Mehaffey, M. Nash, J. Christensen, and B. Schaeffer. Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 57(10): e2020WR028946, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:096"
      ],
      "identifier": "https://doi.org/10.23719/1521321",
      "keyword": [
        "cyanobacteria index",
        "random forest"
      ],
      "contactPoint": {
        "fn": "John Iiames",
        "hasEmail": "mailto:iiames.john@epa.gov"
      },
      "distribution": [
        {
          "title": "var_ranks_SUMMARY_2021-04-05.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521321/var_ranks_SUMMARY_2021-04-05.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-06",
      "references": [
        "https://doi.org/10.1029/2020wr028946",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data support results reported in \"Modeling future land cover change scenarios in Minneapolis, MN, to support drinking water source protection decisions\"",
      "description": "Data supporting results presented in \"Modeling future land cover change scenarios in Minneapolis, MN, to support drinking water source protection decisions.\". \n\nThis dataset is associated with the following publication:\nWoznicki, S., G. Kraynick, J. Wickham, M. Nash, and T. Sohl. Modeling future land cover and water quality change in Minneapolis, MN, USA to support drinking water source protection decisions.   Global Environmental Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 59(4): 726-742, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1521325",
      "keyword": [
        "drinking water",
        "land cover change",
        "SWAT",
        "FORE-SCE",
        "source water protection"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_A-fbgt.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521325/SciHub_A-fbgt.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-12-15",
      "references": [
        "https://doi.org/10.1111/1752-1688.13109"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mangrove Database of CONUS 1980-2020",
      "description": "Readme.txt\nDirectory name: Final Mosaic. These datasets were prepare using Landsat Satellite Data.  \nFile path:L:\\Public\\Mangrove\\CONUS\\change analysis\\Mosaic\\Final Mosaic\nThis directory has the following files\n1980_mosaicf.img\n1985_mosaicf.img\n1990_mosaicf.img\n1995_mosaicf.img\n2005_mosaicf.img\n2015_mosaicf.img\n2020_mosaicf.img\nThe datas are in ERDAS Imagine format with the following details.\nData Type: unsigned 4bit\nType: Thematic\nSpatial Resolution=30m\nProjection=Geographic (lat/long)\nSpheroid: WGS84\nDatum: WGS84\nEPSG CODE:4326. This dataset is not publicly accessible because: the format is not supported by ScienceHub. It can be accessed through the following means: L:\\Public\\Mangrove\\CONUS\\change analysis\\Mosaic\\Final Mosaic. Format: The data are in ERDAS imagine format with an extension of .img. \n\nThis dataset is associated with the following publication:\nGiri, C., J. Long, and P. Poudel. Mangrove Forest Cover Change in the Conterminous United States from 1980–2020.   Remote Sensing. MDPI, Basel,  SWITZERLAND, 15(20): 5018, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529541",
      "keyword": [
        "climate change",
        "remote sensing",
        "Landsat",
        "Mangrove forest",
        "Change Analysis",
        "image processing"
      ],
      "contactPoint": {
        "fn": "Chandra Giri",
        "hasEmail": "mailto:giri.chandra@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-01",
      "references": [
        "https://doi.org/10.3390/rs15205018"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529541/documents/readme.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Methods for Thyroid Hormone Measurements in Neonatal Rat Brain",
      "description": "Serum and brain thyroid hormone measurements in rat brain. \n\nThis dataset is associated with the following publication:\nGilbert, M., J. Ford, C. Riutta, K. OShaughnessy, and P.A. Kosian. Reducing Uncertainties in Quantitative Adverse Outcome Pathways by Analysis of Thyroid Hormone in the Neonatal Rat Brain.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  193(2): 192-203, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530336",
      "keyword": [
        "developmental neurotoxicity",
        "Adverse Outcome Pathways (AOPs)",
        "endocrine disruption",
        "Children's Environmental Health",
        "thyroid hormone"
      ],
      "contactPoint": {
        "fn": "Jermaine Ford",
        "hasEmail": "mailto:ford.jermaine@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub M0918 Brain Hormone Methods Science .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530336/Science%20Hub%20M0918%20Brain%20Hormone%20Methods%20Science%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-01",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad040",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10732312"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Where forest may not return in the western United States",
      "description": "Data from the National Land Cover Database (NLCD) were used to examine where forest was lost in the western United States between 2001 and 2004 and had not returned to forest by 2016 (the latest date of land cover in NLCD at the time of the analysis).  Remotely sensed vegetation indices were used to guide interpretation of the land cover trends. \n\nThis dataset is associated with the following publication:\nWickham, J., A. Neale, K. Riitters, M. Nash, J. Dewitz, S. Jin, M. Van Fossen, and D. Rosenbaum. Where forest may not return in the western United States.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 146: 109756, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530333",
      "keyword": [
        "climate change",
        "drought",
        "forest disturbance regimes",
        "LANDFIRE",
        "NLCD",
        "MRLC"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://mrlc.gov",
          "accessURL": "https://mrlc.gov",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-12-07",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2022.109756"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Columbia River Scenario Temperatures and Shade",
      "description": "This dataset includes supporting data for the paper \"Riparian vegetation shade restoration and loss effects on recent and future stream temperatures\" by Fuller et al. 2022.  Data include temperature predictions for stream reaches in the MidColumbia and Oregon Coast NorWEST processing units for different vegetation (current vegetation, restored riparian vegetation, and riparian vegetation removal) and climate change scenarios (years 2000, 2040, and 2080).  Also included are percent shade estimates for the same scenarios and temperature and discharge associated with tributary outlets to the Columbia River. \n\nThis dataset is associated with the following publication:\nFuller, M.R., P. Leinenbach, N.E. Detenbeck, R. Labiosa, and D.J. Isaak. Riparian vegetation shade restoration and loss effects on recent and future stream temperatures.   RESTORATION ECOLOGY. Blackwell Publishing, Malden, MA, USA, 30(7): e13626, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529983",
      "keyword": [
        "climate change",
        "coldwater refuges",
        "Columbia River",
        "spatial stream network model",
        "ecological forecasting",
        "riparian shade restoration"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "MC_AUG_SSN_predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MC_AUG_SSN_predictions.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OC_AUG_SSN_predictions.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OC_AUG_SSN_predictions.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
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          "title": "Fuller_etal_2022_EcoRes_Data_README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/Fuller_etal_2022_EcoRes_Data_README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OCShade.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OCShade.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OC_trib_outflow_points.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OC_trib_outflow_points.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OC_pred_edges.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OC_pred_edges.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MCShade.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MCShade.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "MC_pred_edges.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MC_pred_edges.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OCShade.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OCShade.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "OC_trib_outflow_points.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OC_trib_outflow_points.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OC_pred_edges.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/OC_pred_edges.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MCShade.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MCShade.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "MC_trib_outflow_points.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MC_trib_outflow_points.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC_pred_edges.shp.xml",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529983/MC_pred_edges.shp.xml",
          "mediaType": "application/xml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-20",
      "references": [
        "https://doi.org/10.1111/rec.13626",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580334"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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      },
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        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Paired Sentinel-2 – water quality databases for estuaries and tidal freshwater rivers.",
      "description": "There are five datasets included in this collection.  One dataset (SiteInventoryunique.shp) provides metadata for sampling stations associated with estuarine water quality data focused on chlorophyll measurements from 1984 to 2021 and with ancillary data parameters added. Water quality data compiled by US EPA from multiple sources are provided in a separate .csv file (surfchl_withSiteInvID.csv) also downloadable from EPA's Estuary Data Mapper (EDM; www.epa.gov/edm). Chlorophyll data were collected as part of a project to refine algorithms for chlorophyll a and harmful algae using Sentinel 2 remote sensing data. Water quality data observations can be matched to the station file using the SiteInvID variable. \n\nA station inventory (Sentinel2matchedsets_surface_uniqstns_NAD83.shp) and two additional datasets (also in EDM) are available with matched chlorophyll - remote sensing Sentinel 2 Level 2A data (Sent2matchsurfchl_wStnIndex.csv) and with matched chlorophyll - Sentinel 2 Level 1C data (....csv).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530288",
      "keyword": [
        "chlorophyll",
        "remote sensing",
        "Sentinel 2",
        "estuary",
        "freshwater tidal river",
        "United States",
        "Estuaries"
      ],
      "contactPoint": {
        "fn": "Steven Rego",
        "hasEmail": "mailto:rego.steven@epa.gov"
      },
      "distribution": [
        {
          "title": "surfchl_withSiteInvID.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/surfchl_withSiteInvID.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SiteInventoryunique.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/SiteInventoryunique.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sentinel2matchedsets_surface_uniqstns_NAD83.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/Sentinel2matchedsets_surface_uniqstns_NAD83.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sentinel2matchedsets_surface_metadata Level 1C.csv.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/Sentinel2matchedsets_surface_metadata%20Level%201C.csv.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sentinel2matchedsets_surface_metadata Level 1C.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/Sentinel2matchedsets_surface_metadata%20Level%201C.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sent2matchsurfchl_wStnIndex.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/Sent2matchsurfchl_wStnIndex.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "L1chl_surface_filtered_comb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/L1chl_surface_filtered_comb.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530288/documents/Sentinel2matchedsets_surface_metadata%20Level%201C.csv",
        "mediaType": "text/csv"
      },
      "accessRights": "public"
    },
    {
      "title": "National Land Cover Data (NLCD) 2019 reference data for accuracy assessment",
      "description": "Using survey statistics, reference land cover data to compare to mapped land cover data for development of data quality and its evaluation. \n\nThis dataset is associated with the following publication:\nWickham, J., S. Stehman, D. Sorenson, L. Gass, and J. Dewitz. Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States.   GIScience and Remote Sensing. Taylor & Francis Group, London,  UK, 60(1): 2181143, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530414",
      "keyword": [
        "land cover",
        "NLCD",
        "MRLC",
        "essential climate variable"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [
        {
          "title": "NLCD2019_AA_RefData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530414/NLCD2019_AA_RefData.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-01",
      "references": [
        "https://doi.org/10.1080/15481603.2023.2181143"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530414/documents/NLCD2019ReferenceDataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Stable Isotope data for Vadose Zone Leaching Study, Corvallis Oregon",
      "description": "Nitrate concentration and stable isotope data from lysimeters in a vadose zone leaching study.  Lysimeters were installed at 0.8, 1.5 and 3 m depth within the soil.  In addition, stable water isotope data of lysimeter water and precipitation are included.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529554",
      "keyword": [
        "nitrogen stable isotopes",
        "water stable isotope",
        "lysimeters",
        "Nitrate Flux",
        "vadose zone"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "VCOR Isotope DataSet for SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529554/VCOR%20Isotope%20DataSet%20for%20SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of in silico, in vitro, and in vivo toxicity benchmarks suggests a role for ToxCast data in ecological hazard assessment",
      "description": "Supplemental data for \"Schaupp CM, Maloney EM, Mattingly K, Olker JH, Villeneuve DL. Comparison of in silico, in vitro, and in vivo toxicity benchmarks suggests a role for ToxCast data in ecological hazard assessment. Toxicol Sci. 2023 Jul 25:kfad072. doi: 10.1093/toxsci/kfad072. Epub ahead of print. PMID: 37490521.\". \n\nThis dataset is associated with the following publication:\nSchaupp, C., E. Maloney, K. Mattingly, J. Olker, and D. Villeneuve. Comparison of in silico, in vitro, and in vivo toxicity benchmarks suggests a role for ToxCast data in ecological hazard assessment..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  195(2): 145-154, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529448",
      "keyword": [
        "Alternative toxicity testing",
        "qsar",
        "new approach methodologies",
        "high-throughput screening",
        "ecological risk assessment"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "toxsci-23-0080-File003.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529448/toxsci-23-0080-File003.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "toxsci-23-0080-File005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529448/toxsci-23-0080-File005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "toxsci-23-0080-File004.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529448/toxsci-23-0080-File004.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-25",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad072"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-target chemical features found in: De facto water reuse - Investigating the fate and transport of chemicals of emerging concern from wastewater discharge through drinking water treatment using non-targeted analysis and suspect screening",
      "description": "A full list of non-target chemical features found in the study \"De facto water reuse - Investigating the fate and transport of chemicals of emerging concern from wastewater discharge through drinking water treatment using non-targeted analysis and suspect screening.\" This would include all identified and unidentified chemicals found in a watershed with wastewater, surface water, and drinking water, chemicals that were found to survive drinking water treatment. \n\nThis dataset is associated with the following publication:\nBrunelle, L., A. Batt, A. Chao, S. Glassmeyer, N. Quinete, D. Alvarez, D. Kolpin, E. Furlong, M. Mills, and D. Aga. De facto water reuse - Investigating the fate and transport of chemicals of emerging concern from wastewater discharge through drinking water treatment using non-targeted analysis and suspect screening.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(5): 2468-2478, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530331",
      "keyword": [
        "De Facto Water Reuse",
        "surface water",
        "Ambient Water",
        "chemicals"
      ],
      "contactPoint": {
        "fn": "Angela Batt",
        "hasEmail": "mailto:batt.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "DeFactoWaterReuse-metadata-Aug2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530331/DeFactoWaterReuse-metadata-Aug2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-31",
      "references": [
        "https://doi.org/10.1021/acs.est.3c07514"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Measurements in Fayetteville, NC water and serum of residents",
      "description": "Measures of PFAS concentration in blood of private wells in Fayetteville, NC as well as blood serum levels of well users. Some additional demographic/survey data. This dataset is not publicly accessible because: Data is property of NC State. It can be accessed through the following means: Contact the author. Format: Data is property of NC State. \n\nThis dataset is associated with the following publication:\nKotlarz, N., T. Guillette, C. Critchley, D. Collier, S. Lea, J. McCord, M. Strynar, M. Cuffney, Z. Hopkins, D. Knappe, and J. Hoppin. Per- and polyfluoroalkyl ether acids in well water and blood serum from private well users residing by a fluorochemical facility near Fayetteville, North Carolina.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 34: 97-107, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529359",
      "keyword": [
        "drinking water",
        "exposure",
        "biomonitoring",
        "private well",
        "serum",
        "per- and polyfluoroalkyl ether acid",
        "PFAS",
        "blood serum"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2023-07-26",
      "references": [
        "https://doi.org/10.1038/s41370-023-00626-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of UAS Rotor Wash on Air Quality Measurements Data Set",
      "description": ": Laboratory and field tests examined the potential for unmanned aircraft system (UAS) rotor wash effects on gas and particle measurements from a biomass combustion source. Tests compared simultaneous placement of two sets of CO and CO2 gas sensors and PM2.5 instruments on a UAS body and on a vertical or horizontal extension arm beyond the rotors. For 1 Hz temporal concentration comparisons, correlations of body versus arm placement for the PM2.5 particle sensors yielded R2 = 0.85, and for both gas sensor pairs, exceeded an R2 of 0.90. Increasing the timestep to 10 s average concentrations throughout the burns improved the R2 value for the PM2.5 to 0.95 from 0.85. Finally, comparison of the whole-test average concentrations further increased the correlations between body- and arm-mounted sensors, exceeding an R2 of 0.98 for both gases and particle measurements. Evaluation of PM2.5 emission factors with single-factor ANOVA analyses showed no significant differences between the values derived from the arm, either vertical or horizontal, and those from the body. These results suggest that rotor wash effects on body- and arm-mounted sensors are minimal in scenarios where short-duration, time-averaged concentrations are used to calculate emission factors and whole-area flux values. \n\nThis dataset is associated with the following publication:\nAurell, J., and B. Gullett. Effects of UAS Rotor Wash on Air Quality Measurements.   Drones. MDPI, Basel,  SWITZERLAND,  0, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530478",
      "keyword": [
        "rotor wash",
        "smoke plumes",
        "UAS",
        "Gas Sensors"
      ],
      "contactPoint": {
        "fn": "Johanna Aurell",
        "hasEmail": "mailto:aurell.johanna@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Aurell and Gullett Drones 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530478/Science%20Hub%20Aurell%20and%20Gullett%20Drones%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Niche changes of three fish species in Narragansett Bay",
      "description": "Non-EPA data are owned by Roger Williams University. \n\nThis dataset is associated with the following publication:\nTaylor, D., C. Pearson, L. Green-Gavrielidis, N. Hobbs, C. Thornber, G. Cicchetti, A. Gerber-Williams, and M.C. McManus. Habitat and trophic niche overlap among juvenile black sea bass, tautog, and cunner: interspecific interactions amid a species geographic range expansion.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 720: 133-159, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529940",
      "keyword": [
        "sediments",
        "ecology",
        "fish",
        "climate change",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "Giancarlo Cicchetti",
        "hasEmail": "mailto:cicchetti.giancarlo@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA Isotope Data ORD 058034 Cicchetti.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529940/EPA%20Isotope%20Data%20ORD%20058034%20Cicchetti.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-15",
      "references": [
        "https://doi.org/10.3354/meps14409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Marsh migration and hazardous and contaminated sites Rhode Island data",
      "description": "This dataset provides the data used to identify where potentially hazardous and contaminated sites could interact with future salt marsh migration corridors. The dataset collates data from: 1) the University of Rhode Island, 2) Rhode Island Department of Environmental Management, 3) U.S. Environmental Protection Agency, 4) U.S. Census Bureau , and 5) RIGIS. \n\nThis dataset is associated with the following publication:\nBurman, E., K. Mulvaney, N. Merrill, M. Bradley, and C. Wigand. Hazardous and contaminated sites within salt marsh migration corridors in Rhode Island, USA..   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 331(1 April 2023): 117218, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530479",
      "keyword": [
        "climate ad",
        "hazardous and contaminated sites",
        "Salt marsh",
        "marsh migration"
      ],
      "contactPoint": {
        "fn": "Kate Mulvaney",
        "hasEmail": "mailto:mulvaney.kate@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/7348410",
          "accessURL": "https://zenodo.org/records/7348410",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-15",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.117218",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10859864"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530479/documents/Marsh%20migration%20contaminated%20sites%20Data_dictionary_8_8_2022.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Virus and bacteria concentration from wastewater",
      "description": "Numerous studies have shown that adsorption-extraction (AE) method holds promise, yet several uncertainties remain regarding the optimal AE workflow. Several procedural components may influence the recovered concentrations of target nucleic acid, including membrane types, homogenization instruments, speed and duration, and lysis buffer. In this study, 42 different AE workflows that varied these components were compared to determine the optimal workflow by quantifying endogenous SARS-CoV-2, human adenovirus 40/41 (HAdV 40/41), and a bacterial marker gene of fecal contamination (Bacteroides HF183). Our findings suggest that the workflow chosen had a significant impact on SARS-CoV-2 concentrations, whereas it had minimal impact on HF183 and no effect on HAdV 40/41 concentrations. This dataset is not publicly accessible because: data are not owned by the EPA. It can be accessed through the following means: Contact the corresponding author, Warish Ahmed (Warish.Ahmed@csiro.au). Format: data are not owned by the EPA. \n\nThis dataset is associated with the following publication:\nAkter, J., W.J.M. Smith, Y. Liu, S.L. Simpson, P. Thai, A. Korajkic, and W. Ahmed. Comparison of adsorption-extraction (AE) workflows for improved measurements of viral and bacterial nucleic acid in untreated wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 908: 167966, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530413",
      "keyword": [
        "Centrifugation",
        "WBE",
        "hf183",
        "HAdV 40/41",
        "adsorption-extraction",
        "SARS-CoV-2"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2023-10-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167966",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10927021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phylogeographical structure and invasion history of the seagrass Zostera japonica in the North Pacific",
      "description": "Data are molecular markers for describing phylogeographical structure of Zostera japonica. This dataset is not publicly accessible because: EPA does not have access to the data. It can be accessed through the following means: Contact Xiaomei Zhang, lead author. Format: No EPA generated data.  All samples and analyses were conducted by co-authors. \n\nThis dataset is associated with the following publication:\nZhang, X., Y. Li, J. Kaldy, Z. Suonan, T. Komatsu, S. Xu, M. Xu, F. Wang, P. Liu, X. Liu, S. Yue, Y. Zhang, K. Lee, J. Liu, and Y. Zhou. Population genetic patterns across the native and invasive range of a widely distributed seagrass: Phylogeographic structure, invasive history and conservation implications.   Diversity and Distributions. Blackwell Publishing Limited, Oxford,  UK, 30(3): e13803, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529115",
      "keyword": [
        "phylogeographica structure",
        "Zostera japonica",
        "climate change",
        "genetic diversity"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-02",
      "references": [
        "https://doi.org/10.1111/ddi.13803"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Expanded ORD PFAS SEM",
      "description": "We used systematic evidence map methods to summarize the available epidemiological and animal bioassay evidence for an expanded set of ~345 PFAS that were prioritized in 2019 by the EPA’s Center for Computational Toxicology and Exposure (CCTE) for in vitro toxicity and toxicokinetic screening. This work builds upon our previously published evidence map for ~150 PFAS chemicals (Carlson et al. 2022, https://doi.org/10.1289/EHP10343). \n\nThis dataset is associated with the following publication:\nShirke, A., E. Radke-Farabaugh, C. Lin, R. Blain, N. Vetter, c. lemeris, p. hartman, H. Hubbard, M. Angrish, X. Arzuaga Andino, J. Congleton, J. Davis, L. Dishaw, R. Jones, R. Judson, J. Kaiser, A. Kraft, L. Lizarraga, P. Noyes, G. Patlewicz, M. Taylor, A. Williams, K. Chialton, and L. Carlson. Expanded Systematic Evidence Map for Hundreds of Per- and Polyfluoroalkyl Substances (PFAS) and Comprehensive PFAS Human Health Dashboard.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(2): CID: 026001, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528783",
      "keyword": [
        "PFAS",
        "systematic review",
        "Environmental Justice",
        "per and polyfluoroaklyl substance",
        "hazard identification"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hawc.epa.gov/assessment/100500256/",
          "accessURL": "https://hawc.epa.gov/assessment/100500256/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/2875",
          "accessURL": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/2875",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/2877",
          "accessURL": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/2877",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://public.tableau.com/app/profile/literature.inventory/viz/ComprehensivePFASEvidenceMapVisualizations/AnimalStudies",
          "accessURL": "https://public.tableau.com/app/profile/literature.inventory/viz/ComprehensivePFASEvidenceMapVisualizations/AnimalStudies",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://public.tableau.com/app/profile/literature.inventory/viz/ExpandedPFASEvidenceMapVisualizations/ReadMe",
          "accessURL": "https://public.tableau.com/app/profile/literature.inventory/viz/ExpandedPFASEvidenceMapVisualizations/ReadMe",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Expanded PFAS SEM_Supplemental Excel File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528783/Expanded%20PFAS%20SEM_Supplemental%20Excel%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Expanded PFAS SEM_Supplemental Material.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528783/Expanded%20PFAS%20SEM_Supplemental%20Material.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-18",
      "references": [
        "https://doi.org/10.1289/ehp13423",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10846678"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Community engagement and the importance of partnerships within the Great Lakes Areas of Concern program: A mixed-methods case study",
      "description": "Supplementary data for \"Alison Rentschler, Kathleen C. Williams, Community engagement and the importance of partnerships within the Great Lakes Areas of Concern program: A mixed-methods case study, Journal of Great Lakes Research, Volume 48, Issue 6, 2022, Pages 1473-1484, ISSN 0380-1330, https://doi.org/10.1016/j.jglr.2022.08.005.\". This dataset is not publicly accessible because: The supplementary data is covered by an IRB with the University of Michigan. It can be accessed through the following means: The supplementary data is available for download through the journal article published online. Format: A file with Figures and Tables is available for download as a docx. file through the journal article published online. \n\nThis dataset is associated with the following publication:\nRentschler, A., and K. Williams. Community engagement and the importance of partnerships within the Great Lakes Areas of Concern program: A mixed-methods case study.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA,  N/A, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530057",
      "keyword": [
        "Areas of Concern program",
        "community engagement",
        "partnerships"
      ],
      "contactPoint": {
        "fn": "Kathleen Williams",
        "hasEmail": "mailto:williams.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-14",
      "references": [
        "https://doi.org/10.1016/j.jglr.2022.08.005",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10807300"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Temperature-dependent composition of summertime PM2.5 in observations and model predictions  across the Eastern U.S",
      "description": "Total fine particle mass (pm25), organic carbon fine particle mass (oc), sulfate fine particle mass (so4), and sulfur dioxide gas (so2) observed EPA AQS sites (ob) and predicted by the CMAQ-CRACMM model v5.4 (mod) for summer 2019 in the United States used in the study of Vannucci et al. ACS ESC 2024. Additional data includes AQS site identifiers as well as ambient air temperature. Aerosol concentrations are in micrograms per cubic meter of air (ug/m3), temperature is in degrees Celsius (iC), and sulfur dioxide is in parts per billion by volume (ppb). Links are provided to obtain the CMAQ code and raw AQS observations.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529132",
      "keyword": [
        "CRACMM",
        "pm2.5",
        "sulfate",
        "heat",
        "temperature",
        "SOA",
        "CMAQ",
        "isoprene",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.github.com/USEPA/CMAQ",
          "accessURL": "https://www.github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/aqs",
          "accessURL": "https://www.epa.gov/aqs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "vannucci_obs_model_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529132/vannucci_obs_model_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations",
      "description": "Files contain values from Figures 1, 2, and 3 of the article by Pye et al., \"Leveraging scientific community knowledge for air quality model chemistry parameterizations,\" scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms. \n\nThis dataset is associated with the following publication:\nPye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  24-31, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529808",
      "keyword": [
        "Ozone",
        "Chemical Mechanism",
        "CRACMM",
        "HAP",
        "CMAQ",
        "secondary organic aerosol (SOA)",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.github.com/USEPA/CMAQ",
          "accessURL": "https://www.github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig2.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig3.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig3.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20231120_pye_em_figuredata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/20231120_pye_em_figuredata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-20",
      "references": [
        "https://www.awma.org/emcurrentissue"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Predictions of PFAS regional-scale atmospheric deposition and ambient air exposure\" published in Science of the Total Environment, Aug 2023",
      "description": "The dataset provided here documents the information used to generate figures for \"Predictions of PFAS regional-scale atmospheric deposition and ambient air exposure\" published in Science of the Total Environment. \n\nThis dataset is associated with the following publication:\nD'Ambro, E., B. Murphy, J. Bash, R. Gilliam, and H. Pye. Predictions of PFAS regional-scale atmospheric deposition and ambient air exposure.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 902: N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529815",
      "keyword": [
        "PFAS",
        "atmospheric deposition",
        "air pollution",
        "air quality",
        "CMAQ",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Emma D'Ambro",
        "hasEmail": "mailto:dambro.emma@epa.gov"
      },
      "distribution": [
        {
          "title": "DAmbroMurphy_CMAQPFAS_Chemours_STotEn2023_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529815/DAmbroMurphy_CMAQPFAS_Chemours_STotEn2023_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.166256",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10642304"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529815/documents/DAmbro_etal_2023_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States",
      "description": "Data for \"By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States\", published March 2024. The datasets show cases by state,\tfips code,\tcase status, sex, age (by 5-year increments), and frequency. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530485",
      "keyword": [
        "Lyme Disease",
        "Animal Tick Borne Diseases",
        "Animal Tick-Borne Diseases",
        "Animal Vector-Borne Diseases",
        "eastern US",
        "midwestern US",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Caitlin Gould",
        "hasEmail": "mailto:gould.caitlin@epa.gov"
      },
      "distribution": [
        {
          "title": "aggregate_withgeog_1992_2007_epa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530485/aggregate_withgeog_1992_2007_epa.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "aggregate_withgeog_2008_2019_epa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530485/aggregate_withgeog_2008_2019_epa.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-30",
      "references": [
        "https://dx.doi.org/10.1007/s10393-024-01676-9"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benton Harbor Water Study Data",
      "description": "This dataset represents all of the data collected by EPA during the Benton Harbor Drinking Water Study, which was published as an EPA report: Tully, J., S. Shilling, V. Bosscher, M. Schock, and D. Lytle. Benton Harbor Drinking Water Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.\nFor the journal article: An evaluation of properly operated NSF/ANSI-53 Pb certified drinking water filters in Benton Harbor, MI, published in 2024 (https://doi.org/10.2166/wh.2024.231). A subset of the filter study data, background water quality data, and particulate sample data was evaluated. \n\nThis dataset is associated with the following publication:\nTully, J., M. Schock, S. Shilling, V. Bosscher, D. Lytle, S. Harmon, and C. Bennett-Stamper. An evaluation of properly operated NSF/ANSI-53 Pb certified drinking water filters in Benton Harbor, MI.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 22(2): 296-308, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530330",
      "keyword": [
        "certified water filters",
        "NSF/ANSI-53",
        "lead in water",
        "community",
        "lead nanoparticulate"
      ],
      "contactPoint": {
        "fn": "Jennifer Tully",
        "hasEmail": "mailto:tully.jennifer@epa.gov"
      },
      "distribution": [
        {
          "title": "https://catalog.data.gov/dataset/benton-harbor-drinking-water-study",
          "accessURL": "https://catalog.data.gov/dataset/benton-harbor-drinking-water-study",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-17",
      "references": [
        "https://doi.org/10.2166/wh.2024.231"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NIH Data and Specimen Hub (DASH)",
      "description": "\"The NICHD Data and Specimen Hub (DASH) is a centralized resource that allows researchers to share and access de-identified data from studies funded by NICHD. DASH also serves as a portal for requesting biospecimens from selected DASH studies.\". \n\nThis dataset is associated with the following publication:\nDeluca, N., K. Thomas, A. Mullikin, R. Slover, L. Stanek, D. Pilant, and E. Hubal. Geographic and demographic variability in serum PFAS concentrations for pregnant women in the United States.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 33(1): 710-724, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530539",
      "keyword": [
        "PFAS",
        "exposure",
        "national children's study",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Nicole Deluca",
        "hasEmail": "mailto:deluca.nikki@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dash.nichd.nih.gov/",
          "accessURL": "https://dash.nichd.nih.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-02-09",
      "references": [
        "https://doi.org/10.1038/s41370-023-00520-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541323"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata",
      "description": "Dataset includes CMAQ predicted results. This dataset is not publicly accessible because: Shanghai Jiao Tong University created the dataset - EPA does not have the dataset. It can be accessed through the following means: Contact - Ping Liu, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China, email: ping_liu@sjtu.edu.cn. Format: Dataset includes CMAQ output files using netcdf format. \n\nThis dataset is associated with the following publication:\nChen, H., P. Liu, Q. Wang, R. Huang, and G. Sarwar. Impact and pathway of halogens on atmospheric oxidants in coastal city clusters in the Yangtze River Delta region in China.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 15(2): N/A, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529594",
      "keyword": [
        "atmospheric oxidants",
        "CMAQ",
        "Halogen chemistry",
        "process analysis",
        "atmospheric oxidation capacity"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-11",
      "references": [
        "https://doi.org/10.1016/j.apr.2023.101979"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demonstrating the reliability of in vivo metabolomics-based chemical grouping: Towards best practice",
      "description": "The experimental metabolomics data generated during the current study are available in the MetaboLights repository under the identifier MTBLS8274. Portions of this dataset are inaccessible because: L:\\Priv\\Metabolomics. They can be accessed through the following means: L:\\Priv\\Metabolomics. Format: L:\\Priv\\Metabolomics. \n\nThis dataset is associated with the following publication:\nViant, M., E. Amstalden, T. Athersuch, M. Bouhifd, S. Camuzeaux, D. Crizer, P. Driemert, T. Ebbels, D. Ekman, B. Flick, V. Giri, M. G?mez-Romero, V. Haake, M. Herold, A. Kende, F. Lai, P. Leonards, P. Lim, G. Lloyd, J. Mosley, C. Namini, J. Rice, S. Romano, C. Sands, M. Smith, T. Sobansky, A. Southam, L. Swindale, B. van Ravenzwaay, T. Walk, R. Weber, F. Zickgraf, and H. Kamp. Demonstrating the reliability of in vivo metabolomics based chemical grouping: towards best practice.   Archives of Toxicology. Springer, New York, NY, USA, 98: 1111-1123, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529781",
      "keyword": [
        "guidance",
        "Reproducibility",
        "OECD",
        "Standardization",
        "metabolomics",
        "Validation"
      ],
      "contactPoint": {
        "fn": "Jonathan Mosley",
        "hasEmail": "mailto:mosley.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ebi.ac.uk/metabolights/editor/MTBLS8274/descriptors",
          "accessURL": "https://www.ebi.ac.uk/metabolights/editor/MTBLS8274/descriptors",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-06",
      "references": [
        "https://doi.org/10.1007/s00204-024-03680-y",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10944399"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting draft article \"Geographic Analysis of the Vulnerability of U.S. Lakes to Cyanobacterial Blooms under Future Climate\"",
      "description": "This dataset supports the journal article \"Geographic Analysis of the Vulnerability of U.S. Lakes to Cyanobacterial Blooms under Future Climate\", by Butcher et al. Two Excel spreadsheets containing the data presented/discussed in this paper will be uploaded to Science HUB. Data summaries include (1) a list of lakes included in the analysis (from 2007 National Lakes Assessment), including latitude/longitude coordinates, key lake physical attributes, and the set of vulnerability and risk metric developed and used in this analysis, and (2) a list of relevant articles identified in the literature and used to develop risk hypotheses used in this analysis. \nAll Variable names and units are defined in column headings of each file uploaded to Science HUB. Details about the data and methodology used to develop risk metrics will be described in detail in a published journal article (draft paper will be submitted to the journal Earth Interactions, titled “Geographic Analysis of the Vulnerability of U.S. Lakes to Cyanobacterial Blooms under Future Climate”. \n\nThis dataset is associated with the following publication:\nButcher, J., M. Fernandez, T. Johnson, A. Shabani, and S. Lee. Geographic Analysis of the Vulnerability of U.S. Lakes to Cyanobacterial Blooms under Future Climate.   Earth Interactions. American Meteorological Society, Boston, MA, USA, 27(1): e230004, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528306",
      "keyword": [
        "climate change",
        "HAB",
        "Risk",
        "lakes"
      ],
      "contactPoint": {
        "fn": "Thomas Johnson",
        "hasEmail": "mailto:johnson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_Literature Review Results_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528306/Data_Literature%20Review%20Results_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Lake Chars and Metrics_ScienceHub.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528306/Data_Lake%20Chars%20and%20Metrics_ScienceHub.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-28",
      "references": [
        "https://doi.org/10.1175/ei-d-23-0004.1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Leachate Parameters from an Elevated Temperature Landfill ",
      "description": "Leachate volumes and composition data before and after a subsurface exothermic reaction. \n\nThis dataset is associated with the following publication:\nKrause, M., W. Eades, N. Detwiler, and T. Tolaymat. Leachate indicators of an elevated temperature landfill.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 171: 628-633, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530581",
      "keyword": [
        "exothermic",
        "elevated temperature landfill",
        "VOCs",
        "Municipal Solid Waste",
        "leachate"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for 2023 ETLF Leachate Indicators.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530581/Data%20for%202023%20ETLF%20Leachate%20Indicators.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-28",
      "references": [
        "https://doi.org/10.1016/j.wasman.2023.10.001"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Connecting Stakeholder Priorities and Desired Environmental Attributes for Wetland Restoration Using Ecosystem Services and a Heat Map Analysis for Communications",
      "description": "Compilation of data used to generate figures and tables in the manuscript. \n\nThis dataset is associated with the following publication:\nHernandez, C., L. Sharpe, C. Jackson, M. Harwell, and T. DeWitt. Connecting Stakeholder Priorities and Desired Environmental Attributes for Wetland Restoration Using Ecosystem Services and a Heat Map Analysis for Communications.   Frontiers in Ecology and Evolution. Frontiers, Lausanne,  SWITZERLAND, 12: 1290090, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529422",
      "keyword": [
        "ecosystem services",
        "stakeholders",
        "nature's benefits",
        "restoration",
        "tidal wetlands",
        "prioritization"
      ],
      "contactPoint": {
        "fn": "Matthew Harwell",
        "hasEmail": "mailto:harwell.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Hernandez-TillamookWetlands_Manuscript tables and figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529422/Hernandez-TillamookWetlands_Manuscript%20tables%20and%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-14",
      "references": [
        "https://doi.org/10.3389/fevo.2024.1290090"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sun Valley Asthma and AD SciHUB.xlsx ",
      "description": "Medicaid claims for AD and asthma for all 6 and 7-year-olds between 2016 to 2019 living in the Sun Valley community (zip code 80204). \n\nThis dataset is associated with the following publication:\nBernstein, J.A., L. Wymer, M. Nye, and S. Vesper. The relationship between childhood atopic dermatitis and asthma in an under resourced community.   Allergy and Asthma Proceedings. OceanSide Publications, Providence, RI, USA, 45(2): 108-111, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529197",
      "keyword": [
        "children",
        "Sun Valley",
        "asthma",
        "atopic dermatitis",
        "Medicaid",
        "Center for improving value in Health Care"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Sun Valley Asthma and AD SciHUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529197/Sun%20Valley%20Asthma%20and%20AD%20SciHUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-28",
      "references": [
        "https://doi.org/10.2500/aap.2024.45.230093"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Global Surface Water Extent Paper",
      "description": "Global Surface Water Extent Paper. This dataset is not publicly accessible because: Data is the property of Texas A&M University Kingsville. It can be accessed through the following means: Contact Texas A&M University Kingsville. Format: Texas A&M University Kingsville authors are the sole developers and analyzer of the dataset. EPA co-authors only provided scientific guidance and input - including help with writing the paper - and did not access or analyze any of the data used in it. \n\nThis dataset is associated with the following publication:\nRajib, A., A. Khare, H. Golden, B. Gupta, Q. Wu, C. Lane, J. Christensen, Q. Zheng, T. Dahl, J. Ryder, and B. McFall. A call for consistency and integration in global surface water estimates.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 19: 021002, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528114",
      "keyword": [
        "wetlands",
        "global spatial data",
        "surface water mapping",
        "lakes",
        "global surface water"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [],
      "modified": "2022-10-01",
      "references": [
        "https://doi.org/10.1088/1748-9326/ad1722"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wisconsin Dep. Of Natural Resources Shallow Groundwater PFAS",
      "description": "Feature layer displaying sample results from Wisconsin DNR’s Private Well PFAS Study\n\nSample results from Wisconsin DNR’s Private Well PFAS Study: “Prevalence and Source Tracing of PFAS in Shallow Groundwater Used for Drinking Water in Wisconsin”, Environmental Science & Technology.\n\nPer- and polyfluoroalkyl substances (PFAS) and other water quality parameter results from samples collected from 450 homes with shallow private wells throughout Wisconsin. The samples were analyzed for 44 PFAS, major ions, metals, total organic carbon, and indicators of human waste as well as agricultural influence. \n\nMore information about the study can be found at https://dnr.wisconsin.gov/topic/Groundwater/PFASStudy.html. \n\nThis dataset is associated with the following publication:\nSilver, M., W. Phelps, K. Masarik, K. Burke, C. Zhang, A. Schwartz, M. Wang, A.L. Nitka, J. Schutz, T. Trainor, J. Washington, and B. Rheineck. Prevalence and Source Tracing of PFAS in Shallow Groundwater Used for Drinking Water in Wisconsin, USA.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(45): 17415–17426, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528718",
      "keyword": [
        "Drinking water (Groundwater)",
        "Drinking water contaminants",
        "Wisconsin",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "John Washington",
        "hasEmail": "mailto:washington.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data-wi-dnr.opendata.arcgis.com/search?q=shallow%20well%20pfas",
          "accessURL": "https://data-wi-dnr.opendata.arcgis.com/search?q=shallow%20well%20pfas",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-07-12",
      "references": [
        "https://doi.org/10.1021/acs.est.3c02826",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10653221"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coastal Generalized Ecosystem Model (CGEM) 1.0: A Complex Biogeochemical Model for Simulating Lower Trophic Levels and Ecosystem Dynamics",
      "description": "These data describe CGEM functional form output for optional model formulations. These data also include post-processed simulation outputs applied to develop figures in the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530541",
      "keyword": [
        "modeling",
        "water quality",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Brandon Jarvis",
        "hasEmail": "mailto:jarvis.brandon@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig13_WeeksBay_LightAttenuation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig13_WeeksBay_LightAttenuation.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Fig12_irradiance_LAshelf.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig12_irradiance_LAshelf.xlsx",
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig11_Weeks_HourlyDO.xlsx",
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          "title": "Fig10_SedimentProcesses.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig10_SedimentProcesses.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Fig5_QuotaGrowth.xlsx",
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        {
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        },
        {
          "title": "Fig3_TempResponse.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig3_TempResponse.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig2_PAR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/Fig2_PAR.xlsx",
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        },
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530541/DataDictionary.docx",
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      "modified": "2024-03-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "subOrganizationOf": [
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                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Changes in forest tree species composition for 2010-2100",
      "description": "This data is from Clark et al. (2023), \"Future climate change effects on US forest composition may offset benefits of reduced atmospheric deposition of N and S.\" (https://onlinelibrary.wiley.com/doi/10.1111/gcb.16817). The dataset provides the decadal data (2010, 2020, etc., to 2100), for estimates of biomass and stem count, for each county (FIPS) in the lower 48 states, for the 94 tree species analyzed in Horn et al. (2018), separately for the 20 climate and atmospheric deposition scenarios examined in the Clark et al. manuscript. Summary tables and key supporting information are also provided. The data are too large to upload to Science Hub (>10 GB) and are instead available on the DataDryad here: https://datadryad.org/stash/dataset/doi:10.5061/dryad.tht76hf4f. \n\nThis dataset is associated with the following publication:\nClark, C., J. Phelan, J. Ash, J. Buckley, J. Cajka, K. Horn, R.Q. Thomas, and R.D. Sabo. Future climate change effects on U.S. forest composition may offset benefits of reduced atmospheric deposition of N and S.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 29(17): 4793-4810, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529091",
      "keyword": [
        "biodiversity",
        "atmospheric deposition",
        "forest composition",
        "critical loads",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.tht76hf4f",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.tht76hf4f",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-08",
      "references": [
        "https://doi.org/10.1111/gcb.16817"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimate of sediment accumulation rates and bottom core ages in northeast lakes",
      "description": "Supplementary data for the report in the format of an Excel spreadsheet (with data dictionary) and an Microsoft Access database file (downloaded as a zip file). The Access database file contains multiple data tables examined or generated during the project to investigate sediment accumulation rates (SAR) of northeast lakes.\n1. Baud_SARMAR: data downloaded from Baud et al. 2019 for northeast lake sediment accumulation rates.\n2. EPA_Extra_Chron_Data: additional lake sedimentation chronology data.\n3. Lake_Metadata_n701: coordinates, waterbody type, area, elevation, and slope information.\n4. Neotoma_Chron_Data: lake sediment core depth, age estimates, and age model info downloaded from Neotoma.\n5. RARE_Sample_Metadata: RARE project lakes' name, collection date, source.\n6. SAR_Calc_1850_n691: data for variables required by the Baud SAR equation.\n7. SAR_Comparison_Results: comparison of observed and predicted SAR.\n8. Stations_RARE_Neotoma_Crosswalk: data used to match RARE project lakes with lakes from Neotoma to confirm they are the same lakes.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530540",
      "keyword": [
        "paleolimnology",
        "diatoms",
        "sediment",
        "lake"
      ],
      "contactPoint": {
        "fn": "Sylvia Lee",
        "hasEmail": "mailto:lee.sylvia@epa.gov"
      },
      "distribution": [
        {
          "title": "NE_Sed_Chron_Data_20220930.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530540/NE_Sed_Chron_Data_20220930.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NE_SedimentDiatom_SAR_LakeCat_20230926 with metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530540/NE_SedimentDiatom_SAR_LakeCat_20230926%20with%20metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Screening for drinking water contaminants of concern using an automated exposure-focused workflow",
      "description": "Supplementary information and tables for \"Isaacs, K.K., Wall, J.T., Paul Friedman, K. et al. Screening for drinking water contaminants of concern using an automated exposure-focused workflow. J Expo Sci Environ Epidemiol (2023). https://doi.org/10.1038/s41370-023-00552-y\". \n\nThis dataset is associated with the following publication:\nIsaacs, K., T. Wall, K. Paul-Friedman, J. Franzosa, H. Goeden, A. Williams, K. Dionisio, J. Lambert, M. Linnenbrink, A. Singh, J. Wambaugh, A. Bogdan, and C. Greene. Screening for drinking water contaminants of concern using an automated exposure-focused workflow.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 34: 136-147, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529142",
      "keyword": [
        "new approach methodologies",
        "environmental monitoring",
        "Emerging Contaminants",
        "Exposure modeling"
      ],
      "contactPoint": {
        "fn": "Kristin Isaacs",
        "hasEmail": "mailto:isaacs.kristin@epa.gov"
      },
      "distribution": [
        {
          "title": "41370_2023_552_MOESM2_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM2_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "41370_2023_552_MOESM1_ESM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM1_ESM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "41370_2023_552_MOESM6_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM6_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "41370_2023_552_MOESM5_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM5_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "41370_2023_552_MOESM4_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM4_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "41370_2023_552_MOESM3_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529142/41370_2023_552_MOESM3_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-17",
      "references": [
        "https://doi.org/10.1038/s41370-023-00552-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and Supporting Information for \"Sublethal toxicity of 17 PFASs with diverse structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus\", manuscript submitted to Environmental Toxicology and Chemistry July 7., 2023",
      "description": "Data and supporting information for \"Sublethal toxicity of 17 PFASs with diverse structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus\", manuscript submitted to Environmental Toxicology and Chemistry, July 7, 2023. \n\nThis dataset is associated with the following publication:\nKadlec, S., W. Backe, R. Erickson, J.R. Hockett, S. Howe, I. Mundy, E. Piasecki, H. Sluka, L. Votava, and D. Mount. Sublethal Toxicity of 17 Per- and Polyfluoroalkyl Substances with Diverse Structures to Ceriodaphnia dubia, Hyalella azteca, and Chironomus dilutus.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(2): 359-373, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529172",
      "keyword": [
        "PFOS",
        "PFAS",
        "aquatic invertebrates",
        "PFOA",
        "sublethal toxicity"
      ],
      "contactPoint": {
        "fn": "Sarah Kadlec",
        "hasEmail": "mailto:kadlec.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "Kadlec et al. 17 PFASs 3 species_Supplemental information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529172/Kadlec%20et%20al.%2017%20PFASs%203%20species_Supplemental%20information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-07",
      "references": [
        "https://doi.org/10.1002/etc.5784"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS",
      "description": "Supporting information for \"Phillips KA, Chao A, Church RL, Favela K, Garantziotis S, Isaacs KK, Meyer B, Rice A, Sayre R, Wetmore BA, Yau A, Wambaugh JF. Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS. Environ Sci Technol. 2024 Jan 30;58(4):1802-1812. doi: 10.1021/acs.est.3c05092. Epub 2024 Jan 13. PMID: 38217501.\". \n\nThis dataset is associated with the following publication:\nPhillips, K., A. Chao, R. Church, K. Favela, S. Garantziotis, K. Isaacs, B. Meyer, A. Rice, R. Sayre, B. Wetmore, A. Yau, and J. Wambaugh. Suspect Screening Analysis of Pooled Human Serum Samples Using GC × GC/TOF-MS.   ACS ES&T Engineering. American Chemical Society, Washington, DC, USA, 58(4): 1802-1812, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530115",
      "keyword": [
        "gas chromatography",
        "chemical risk",
        "exposure forensics",
        "Suspect Screening Analysis",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "es3c05092_si_002.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530115/es3c05092_si_002.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "pooled_serum_supplemental_tables_v2_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530115/pooled_serum_supplemental_tables_v2_3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-12",
      "references": [
        "https://doi.org/10.1021/acs.est.3c05092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with the figures in the GLIMPSE 1.1 Users' Guide",
      "description": "The GLIMPSE Users' Guide includes many figures, including those that illustrate the tutorials and key results from the Reference Case scenario. This dataset includes the underlying data depicted in those figures. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530077",
      "keyword": [
        "mitigation",
        "energy",
        "Nitrogen and Co-pollutants",
        "climate change",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "graphics_for_GLIMPSEv1.1_UsersGuide_2024.01.03.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530077/graphics_for_GLIMPSEv1.1_UsersGuide_2024.01.03.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Tidal Flushing Rather Than Non-Point Source Nitrogen Pollution Drives Nutrient Dynamics in A Putatively Eutrophic Estuary",
      "description": "These are the data associated with the manuscript \"https://www.mdpi.com/2073-4441/15/1/15.\" They are available under \"Supplementary Materials\" on the left side of the webpage, under the Table of Contents. \n\nThis dataset is associated with the following publication:\nKrause, J.R., M.E. Gannon, A.J. Oczkowski, M.J. Schwartz, L.K. Champlin, D. Steinmann, M. Maxwell-Doyle, E. Pirl, V. Allen, and E.B. Watson. Tidal Flushing Rather Than Non-Point Source Nitrogen Pollution Drives Nutrient Dynamics in A Putatively Eutrophic Estuary.   WATER. MDPI, Basel,  SWITZERLAND, 15(1): 15, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530483",
      "keyword": [
        "nitrogen",
        "estuary",
        "Barnegat Bay",
        "stable isotope",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mdpi.com/2073-4441/15/1/15",
          "accessURL": "https://www.mdpi.com/2073-4441/15/1/15",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-21",
      "references": [
        "https://doi.org/10.3390/w15010015",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926401"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site",
      "description": "The data set includes environmental data as well as kelp and oyster data from an integrated multi-trophic aquaculture study where sugar kelp was planted on four established oyster farms in Rhode Island, USA over 2 growing seasons (Year 1 = 2017–2018; Year 2 = 2018-2019). At each site, we planted 60 m kelp lines (denoted as Line 1 and Line 2) approximately three weeks apart to determine optimal planting time. Kelp blade length and width were recorded at periodic intervals, and tissues were collected for carbon, nitrogen, δ15N, and δ13C analyses. Oyster growth data was collected from the same sites across the same timespans. Environmental data includes data collected on monthly farm visits with a YSI Sonde, as well as dissolved nutrients in the seawater. In addition, temperatures were logged on kelp lines every 15 minutes during each growing season. \n\nThis dataset is associated with the following publication:\nGreen-Gavrielidis, L., C. Thornber, and A. Oczkowski. Integrated multi-trophic aquaculture with sugar kelp and oysters in a shallow coastal salt pond and open estuary site.   Frontiers in Aquaculture. Frontiers, Lausanne,  SWITZERLAND, 2: 1147524, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530481",
      "keyword": [
        "nitrogen",
        "Oyster",
        "kelp",
        "aquaculture"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.hqbzkh1m3",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.hqbzkh1m3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-26",
      "references": [
        "https://doi.org/10.3389/faquc.2023.1147524",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581391"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Society for Women in Marine Science survey data",
      "description": "This project looks specifically at gender diversity within marine sciences, and the experiences of women and gender-diverse people in the field. Based on survey data collected from participants in symposia hosted by the Society for Women in Marine Science, we identify shared challenges, training opportunities, and logistic improvements to create more inclusive symposia in the future. Intersectional considerations of the multiple identities researchers possess are an important focus for diversifying marine science and fostering belonging. This dataset is not publicly accessible because: Data are owned by the Society for Women in Marine Science. It can be accessed through the following means: Data will be made available on request. Format: Survey data conducted by the Society for Women in Marine Science as part of their annual symposium 2018-2020. \n\nThis dataset is associated with the following publication:\nCanfield, K., A. Sterling, C. Hernandez, S. Chu, B. Edwards, D. Fontaine, J. Freese, M. Giroux, A. Jones, A. McCarty, H. Morrissette, H. Palevsky, C. Raker, A. Robuck, G. Serrato Marks, P. Thibodeau, and A. Windle. Building an inclusive wave in marine science: Sense of belonging and Society for Women in Marine Science symposia.   Progress in Oceanography. Elsevier B.V., Amsterdam,  NETHERLANDS, 218: 103110, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530486",
      "keyword": [
        "social science",
        "public engagement with science",
        "women in science",
        "marine science"
      ],
      "contactPoint": {
        "fn": "Katherine Canfield",
        "hasEmail": "mailto:canfield.katherine@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-28",
      "references": [
        "https://doi.org/10.1016/j.pocean.2023.103110",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10805246"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-EPA data for \"Runnels mitigate marsh drowning in microtidal salt marshes\"",
      "description": "We report on 5 years of vegetation and hydrologic monitoring of two locations where a total of 600-m of shallow (0.15–0.30-m in diameter and depth) runnels were installed in 2015 and 2016 to enhance drainage, in the Pettaquamscutt River Estuary, in southern Rhode Island, United States. Results from this Before-After Control-Impact (BACI) designed study found that runnel installation successfully promoted plant recolonization, although runnels did not consistently promote increases in high marsh species presence or diversity. This dataset is not publicly accessible because: EPA is not the owner of this data. It can be accessed through the following means: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. Format: All data is available as Supplementary Material in journal article. Inquiries can be directed to the corresponding author. \n\nThis dataset is associated with the following publication:\nWatson, E., W. Ferguson, L. Champlin, J. White, N. Ernst, H. Sylla, B. Wilburn, and C. Wigand. Runnels mitigate marsh drowning in microtidal salt marshes.   Frontiers in Environmental Science. Frontiers, Lausanne,  SWITZERLAND, 10: 987246, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530415",
      "keyword": [
        "restoration",
        "climate adaptation",
        "sea level rise",
        "Salt marsh",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2022-10-12",
      "references": [
        "https://doi.org/10.3389/fenvs.2022.987246",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728634"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Birnessite films are sensitive indicators of microbial manganese reduction in soil",
      "description": "Development of rapid and inexpensive assessment tools to evaluate the integrity of wetlands soils is important to managers and natural resource stewards. In this study researchers developed an effective, rapid, and low cost tool to assess the degree of oxygenation in wetland soils. Strips of white plastic were painted with the brown-colored birnessite, which indicates low oxidizing conditions in the soil when the brown color disappears from the strip. Use of these strips may assist in monitoring wetlands and prioritizing wetland areas for restoration efforts. This dataset is not publicly accessible because: EPA does not own the data. It can be accessed through the following means: Contact article's corresponding author. Format: Supplemental Figure S1. Curated spreadsheet containing raw and processed data from Mn indicator of reduction in soils (IRIS) film paint removal quantification and sand weighing data.\r\nSupplemental Figure S2. Two-way ANOVA analyses of Mn indicator of reduction in soils (IRIS) film paint removal data. \n\nThis dataset is associated with the following publication:\nHino, K.C., J. Romero, J.L. Loffredo, M. Stolt, J. Amador, S. Moseman-Valtierra, C. Wigand, and B. Pellock. Birnessite films are sensitive indicators of microbial manganese reduction in soil.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL. Soil Science Society of America, Madison, WI, USA, 87(1): 196-201, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530475",
      "keyword": [
        "bioremediation",
        "wetland integrity",
        "wetland soil",
        "wetland"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2022-07-20",
      "references": [
        "https://doi.org/10.1002/saj2.20468",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116846"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SDR StRAP 3 interviews",
      "description": "Interview data from EPA researchers and partners involved with solutions-driven research pilots on nutrient management and wildland fire smoke. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Restricted access may be granted to authorized persons by contacting the party listed. Format: Confidential interview data contains identifiable information of interviewees, including identifiable experiences at or with EPA, position with EPA, and role within the projects studied. \n\nThis dataset is associated with the following publication:\nCanfield, K.N., B. Hubbell, L. Rivers, B. Rodan, B. Hassett-Sipple, A. Rea, T. Gleason, A. Holder, C. Berg, C.D. Chatelain, S. Coefield, B. Schmidt, and B. McCaughey. Lessons learned and recommendations in conducting solutions-driven environmental and public health research.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 354(March 2024): 120270, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530588",
      "keyword": [
        "Wildland Fire",
        "Translational Research",
        "Nitrogen and Co-pollutants",
        "social science",
        "smoke",
        "Solutions based research",
        "solutions-driven research"
      ],
      "contactPoint": {
        "fn": "Katherine Canfield",
        "hasEmail": "mailto:canfield.katherine@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-07",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.120270",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10939729"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data Links for Monitoring Chemical Contaminants in the Gulf of Maine, using Sediments and Mussels: an evaluation ",
      "description": "The monitoring programs used to determine if sediments and mussels can be used interchangeably to assess environmental condition were: Mussel Watch (MW, National Status and Trends (NS&T), NOAA), Gulfwatch (GW, Gulf of Maine Council), National Coastal Assessment (NCA, US EPA), National Coastal Condition Assessment (NCCA, US EPA), and newly available sediment data from the EcoSystem Indicator Partnership (ESIP). Mussel Watch, Gulfwatch, NCA and NCCA are high profile, long-term, well organized national and regional mussel and/ or sediment monitoring programs. Sediment contaminant data generated by Eastern Charlotte Waterways (ECW) Inc, from funding by the Gulf of Maine Council on the Marine Environment’s EcoSystem Indicator Partnership, were used for sites in the Canadian portion of the GOM; sediments were collected by ECW and analyzed by RPC (http://www.rpc.ca/english/index.html). All the data source programs have quality assurance measures (details can be found at the URLs listed below).\n\nNOAA’s NS&T Mussel Watch (NOAA MW)\nhttps://en.wikipedia.org/wiki/Mussel_Watch_Program\nhttps://products.coastalscience.noaa.gov/nsandt_data/data.aspx\n\nGulf of Maine Council’s Gulfwatch (GOMC GW) \nhttp://www.gulfofmaine.org/2/gulfwatch-homepage/\nhttps://gulfofmaine.org/public/gulfwatch-contaminants-monitoring/data-reports/ \nThe Canadian portion of Gulfwatch also has published QA documentation (Sowles et al., 1997).\n\nEPA’s National Coastal Assessment (EPA NCA) & National Coastal Condition Assessment (NCCA)\nhttps://archive.epa.gov/emap/archive-emap/web/html/about.html\nhttps://www.epa.gov/national-aquatic-resource-surveys/ncca\nhttps://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-\nsurveys\n\nEcoSystem Indictor Partnership (ESiP)\nhttp://www.gulfofmaine.org/2/esip-homepage/ \nEastern Charlotte Waterways Inc. (D. Killorn, pers comm). Sediments were collected by ECW and analyzed through a subcontract to RPC. Data with accompanying QA data were obtained from Donald Killorn, ECW (pers comm). \n\nThis dataset is associated with the following publication:\nElskus, A., L. LeBlanc, J. Latimer, D. Page, G. Harding, and P. Wells. Monitoring chemical contaminants in the Gulf of Maine, using sediments and mussels (Mytilus edulis): An evaluation.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 153: 110956, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530585",
      "keyword": [
        "contaminants",
        "gulf of maine",
        "estuary",
        "monitoring"
      ],
      "contactPoint": {
        "fn": "James Latimer",
        "hasEmail": "mailto:latimer.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://products.coastalscience.noaa.gov/nsandt_data/data.aspx",
          "accessURL": "https://products.coastalscience.noaa.gov/nsandt_data/data.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://gulfofmaine.org/public/gulfwatch-contaminants-monitoring/data-reports/",
          "accessURL": "https://gulfofmaine.org/public/gulfwatch-contaminants-monitoring/data-reports/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-10-04",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2020.110956",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10775826"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting modeling components",
      "description": "This journal paper summarizes a Bayesian Network modeling approach for integrating climate change factors into ecological risk assessment. The BN modeling was not EPA generated. It was rather developed as a part of a special series generated under a SETAC Pellston Workgroup that was charged with developing strategies and approaches for considering climate change in ecological and chemical risk assessment.  Supporting BN modeling inputs and components are included as supplemental information with the published manuscript. EPA scientists (John Carriger, Pamela Noyes) participated on the Pellston workgroup. Pamela Noyes was a coauthor and John Carriger reviewed and provided technical guidance on the paper and modeling. \n\nThis dataset is associated with the following publication:\nMentzel, S., R. Nathan, P. Noyes, K.V. Brix, S.J. Moe, J.R. Rohr, J. Verheyen, P.J. Van den Brink, and J. Stauber. Evaluating the effects of climate change and chemical, physical, and biological stressors on nearshore coral reefs: A case study in the Great Barrier Reef, Australia.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(2): 401-418, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530601",
      "keyword": [
        "climate change",
        "cumulative risk assessment",
        "ecological risk assessment"
      ],
      "contactPoint": {
        "fn": "Pamela Noyes",
        "hasEmail": "mailto:noyes.pamela@epa.gov"
      },
      "distribution": [
        {
          "title": "https://setac.onlinelibrary.wiley.com/doi/full/10.1002/ieam.4871",
          "accessURL": "https://setac.onlinelibrary.wiley.com/doi/full/10.1002/ieam.4871",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-09-15",
      "references": [
        "https://doi.org/10.1002/ieam.4871"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CARES_COPD_casecrossover",
      "description": "Information on hospitalizations of COPD patients from electronic health records linked to air pollution concentrations for the study period. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Can be requested through NCTracts https://tracs.unc.edu/index.php/services/comparative-effectiveness-research/data-linkage. Format: Data used in this analysis include electronic health records from the UNC healthcare system. \n\nThis dataset is associated with the following publication:\nCowan, K., L. Wyatt, T. Luben, J. Sacks, C. Ward-Caviness, and K. Rappazzo. Effect measure modification of the association between short-term exposures to PM2.5 and hospitalizations by longs-term PM2.5 exposure among a cohort of people with Chronic Obstructive Pulmonary Disease (COPD) in North Carolina, 2002–2015.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 22: 49, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530582",
      "keyword": [
        "hospitalization",
        "COPD",
        "electronic health records",
        "particulate matter (PM)",
        "long and short term interaction"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-19",
      "references": [
        "https://doi.org/10.1186/s12940-023-00999-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10308617"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Sisk.food.desert.networks",
      "description": "Networks of public transit and food deserts. This dataset is not publicly accessible because: Data was never accessed by EPA authors. It can be accessed through the following means: Data is available on request from lead author, Dr. Anna Sisk at asisk9@alum.utk.edu. Format: spatial datasets. \n\nThis dataset is associated with the following publication:\nSisk, A., K. Rappazzo, T. Luben, and N. Fefferman. Connecting people to food: A network approach to alleviating food deserts.   Journal of Transport & Health. Elsevier B.V., Amsterdam,  NETHERLANDS, 31: 101627, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530586",
      "keyword": [
        "transportation",
        "food desert",
        "network analysis",
        "mathematical modeling",
        "geospatial analysis",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2023-07-10",
      "references": [
        "https://doi.org/10.1016/j.jth.2023.101627"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MMWR Metadata",
      "description": "Metadata for MMWR on Canadian Wildfire Smoke episodes and asthma ED visits. Portions of this dataset are inaccessible because: Jurisdictions own data with protections under their laws and regulations. NSSP (CDC) has access to data through data-use agreements that allow for reporting at the HHS regional aggregate level. They can be accessed through the following means: For the non-public data, all end users with access are credentialled and must gain access through PIV following CDC approved protocols. All team members with access are CDC employees. For the public data that is associated with the MMWR publication, results will be presented in a visual format showing graphs of ED visit counts and air quality levels in the publication. \r\n\r\nPublicly available Aggregated data will be available in CDCStacks library system. For non-public data. Format: Data will  be presented in aggregate form during dissemination phase through a publicly accessible MMWR. \n\nThis dataset is associated with the following publication:\nMcArdle, C., T. Dowling, K. Carey, J. DeVies, D. Johns, A. Gates, Z. Stein, K. van Santen, L. Radhakrishnan, A. Kite-Powell, K. Soetebier, J. Sacks, K. Sircar, K. Hartnett, and M. Mirabelli. Asthma-Associated Emergency Department Visits During the Canadian Wildfire Smoke Episodes — United States, April–August 2023.   MORBIDITY AND MORTALITY WEEKLY REPORT. U.S. Department of Health and Human Services, Washington, DC, USA, 72: 926-932, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529455",
      "keyword": [
        "public health",
        "Wildfire smoke",
        "asthma",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "https://stacks.cdc.gov/view/cdc/132183",
          "accessURL": "https://stacks.cdc.gov/view/cdc/132183",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-22",
      "references": [
        "https://doi.org/10.15585/mmwr.mm7234a5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468220"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "KFTI data",
      "description": "This study quantifying the sensitivity and tolerance of fish species to stressor gradients in the Karun River basin (Western Iran) and to used this information to develop a fish-based tolerance index, the Karun Fish Tolerance Index (KFTI), that can serve as a practical management tool. We also tested if native, endemic, and nonnative fish species differ in tolerance to the range of stressors that occur in the Karun River system. The KFTI complements a multimetric index (KFMMI) based on the same data developed in a companion study. The two complementary fish-based indices developed based on this dataset, that is, KFTI (this study) and KFMMI (Zare Shahraki et al., 2022b) are now available for use by stakeholders, managers, and scientists to evaluate the quality of freshwater ecosystems in Iran and elsewhere. This dataset is not publicly accessible because: Data is the property of Swiss Leading House South Asia and Iran (ZHAW) and Isfahan University of Technology. It can be accessed through the following means: The data that support the findings of this study are available from the corresponding author (Andreas Bruder) upon reasonable request. Format: Physical habitat, landscape data, and water chemistry. \n\nThis dataset is associated with the following publication:\nZare Shahraki, M., P. Fathi, E. Ebrahimi Dorche, J. Flotemersch, K. Blocksom, J. Stribling, and A. Bruder. Environmental impact assessment and conservation planning of a Middle-Eastern River basin using a fish-based tolerance index.   River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 40(3): 411-424, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530325",
      "keyword": [
        "biodiversity",
        "stressor gradient",
        "ecosystem management",
        "stressor sensitivity"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-20",
      "references": [
        "https://doi.org/10.1002/rra.4233"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Occurrence Systematic Evidence Mapping Data Extraction September 7 2022",
      "description": "Database file containing the data extractions for the first batch of eight PFAS (XLSX)\nDatabase file containing the data extractions for the second batch of 12 PFAS (XLSX)\nLiterature search strategy, filters used in SWIFT-Review, specific information fields extracted from each study that underwent full-text screening and data extraction, information on incidental extractions, and descriptions on information extracted from biomonitoring/cohort papers (PDF). \n\nThis dataset is associated with the following publication:\nHolder, C., N. DeLuca, J. Luh, P. Alexander, J. Minucci, D. Vallero, K. Thomas, and E. Cohen-Hubal. Systematic Evidence Mapping of Potential Exposure Pathways for Per- and Polyfluoroalkyl Substances Based on Measured Occurrence in Multiple Media.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(13): 5107-5116, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530691",
      "keyword": [
        "Exposure pathways",
        "PFAS",
        "systematic evi",
        "exposure data curation"
      ],
      "contactPoint": {
        "fn": "Elaine Cohen-Hubal",
        "hasEmail": "mailto:hubal.elaine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/10.1021/acs.est.2c07185?goto=supporting-info",
          "accessURL": "https://pubs.acs.org/doi/10.1021/acs.est.2c07185?goto=supporting-info",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-07",
      "references": [
        "https://doi.org/10.1021/acs.est.2c07185"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT_RockCreek_Baseline_Calibration_Validation; SWAT_RockCreek_ACP_Scenario_Comparison",
      "description": "The dataset supports findings in the study: \"Integrating Agricultural Conservation Planning Framework with the Soil and Water Assessment Tool to Reduce Phosphorus Loadings to Lake Erie: A Case Study\". Results of this study demonstrate the integration of the ACPF and SWAT in a small agricultural watershed within the Western Lake Erie Basin. Datasets include SWAT model calibration and validation as well as SWAT model ACP scenario results. \n\nThis dataset is associated with the following publication:\nYuan, Y., and S. Whisenant. Integrating ACPF and SWAT to Assess Potential Phosphorus Loading Reductions to Lake Erie: A Case Study.   APPLIED ENGINEERING IN AGRICULTURE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 39(6): 645-655, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528721",
      "keyword": [
        "ACPF",
        "water quality",
        "agricultural conservation practices",
        "Nutrient loadings",
        "effectiveness",
        "Lake Erie",
        "SWAT"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "SWAT_RockCreek_Baseline_Calibration_Validation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528721/SWAT_RockCreek_Baseline_Calibration_Validation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SWAT_RockCreek_ACP_Scenario_Comparison.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528721/SWAT_RockCreek_ACP_Scenario_Comparison.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-22",
      "references": [
        "https://doi.org/10.13031/aea.15644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NCS Pb summary statistics",
      "description": "NA. This dataset is not publicly accessible because: The data used in this manuscript were obtained under Data Use Agreements with the NCS Vanguard Data and Sample Archive and Access System and the NICHD Data and Specimen Hub (DASH). Because of the requirements of the DUA, we are unable to provide raw data; thus, the summary data are provided that are included in the manuscript. It can be accessed through the following means: The manuscript contains tables of the summary statistics. For the original data, users must have an approved DUA with NICHD DASH. Format: Word file of tables with summary statistics for maternal blood Pb, urine Pb, Pb surface wipe loading and Pb vacuum bag dust. \n\nThis dataset is associated with the following publication:\nStanek, L., N. Grokhowsky, B. George, and K. Thomas. Assessing lead exposure in U.S. pregnant women using biological and residential measurements.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, (905): 167135, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529133",
      "keyword": [
        "lead",
        "human health",
        "Children's Environmental Health",
        "House dust"
      ],
      "contactPoint": {
        "fn": "Lindsay Stanek",
        "hasEmail": "mailto:stanek.lindsay@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167135"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset_For _P_Management_Paper",
      "description": "The dataset contains coded data extracted from 24 publications with quantitative values on the effectiveness of nutrient management practices for DRP losses. Within the dataset has been split into two categories: 1) plot-scale studies where the maximum study area was 0.05 ha and 2) field-scale studies with study areas ranging from 0.5 to 20 ha. The dataset contains information regarding study areas, soil type, monitoring details, nutrient management details, and phosphorus losses from the study areas. \n\nThis dataset is associated with the following publication:\nPrasad, L.R., A.M. Thomason, F.J. Arriaga, L. Koropeckyj-Cox, and Y. Yuan. Effectiveness of Residue and Tillage Management on Runoff Pollutant Reduction from Agricultural Areas.   Journal of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 66(6): 1341-1354, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529914",
      "keyword": [
        "Agricultural Conservation Practice",
        "phosphorous fertilization rate",
        "agricultural areas",
        "nutrient managment",
        "effectiveness",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset_For_RTM_Paper_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529914/Dataset_For_RTM_Paper_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-02-03",
      "references": [
        "https://doi.org/10.13031/ja.15518"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data in support of the Pawcatuck River and Little Narragansett Bay Eutrophication Modeling Effort",
      "description": "This data repository has been created to support Cashel et al. 2024 publication titled “Using Monitoring and Mechanistic Modeling to Improve Understanding of Eutrophication in a Shallow New England Estuary”. This research served to explore the applicability of observed data and a dynamic, mechanistic fate and transport water quality model to assess eutrophication and hypoxia in the Pawcatuck River Estuary (New England, USA). Associated files include outputs from the Wood-Pawcatuck Watershed HSPF model, atmospheric forcing functions, continuous and discrete observed data in the Pawcatuck River Estuary, and additional information used to support this research. Refer to Section 6 of the Supplementary Materials associated with this research paper for a description of the contents of each file. \n\nContinuous (15-min intervals) sonde data and grab samples were collected across several years with locations designed to capture longitudinal, vertical, and lateral spatial variation within the system. Observed data include: salinity (SAL, ppt), water temperature (WT, °C), depth (DEP, m), dissolved oxygen (DO, mg/L), chlorophyll a (chl a, μg/L as chl a), ammonium (NH4, μg/L as N), nitrate (NO3, μg/L as N), dissolved inorganic phosphorus (DIP, μg/L as P), total nitrogen (TN, μg/L as N), total phosphorus (TP, μg/L as P), and total suspended solids (TSS, μg/L). \n\nThis dataset is associated with the following publication:\nCashel, F.S., C.D. Knightes, C. Lupo, T. Iott, K. Streich, C.J. Conville, T.W. Bridges, and I. Dombroski. Using monitoring and mechanistic modeling to improve understanding of eutrophication in a shallow New England estuary.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 355(March 2024): 120478, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529784",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "water quality",
        "modeling",
        "eutrophication"
      ],
      "contactPoint": {
        "fn": "Christopher Knightes",
        "hasEmail": "mailto:knightes.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.mendeley.com/datasets/vywyyks4r6/1",
          "accessURL": "https://data.mendeley.com/datasets/vywyyks4r6/1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-21",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.120478"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Performance of Vehicle Add-on Mobile Monitoring System PM2.5 measurements during wildland fire episodes",
      "description": "This file provides the data used to generate the tables and figures in the manuscript, including a definition of each parameter and units where applicable. \n\nThis dataset is associated with the following publication:\nBittner, A., A. Holder, A. Grieshop, G. Hagler, and W. Mitchell. Performance of Vehicle Add-on Mobile Monitoring System PM2.5 measurements during wildland fire episodes.   Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge,  UK, 4(3): 306-320, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530760",
      "keyword": [
        "Wildfire smoke",
        "mobile monitoring",
        "geospatial analysis",
        "Averaging Time"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "VAMMS Evaluation Data Tables and Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530760/VAMMS%20Evaluation%20Data%20Tables%20and%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-20",
      "references": [
        "https://doi.org/10.1039/d3ea00170a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Maternal exposure to nitrosamines in drinking water during pregnancy and birth outcomes in a Chinese cohort",
      "description": "Chinese Vital Records from 2015 to 2016. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It cannot due to PII and Non-EPA data being used. Format: Chinese vital records data. \n\nThis dataset is associated with the following publication:\nLuo, Q., C. Liu, E. Bei, Y. Deng, Y. Miao, Y. Qiu, W. Lu, J. Wright, c. chen, and Q. Zeng. Maternal exposure to nitrosamines in drinking water during pregnancy and birth outcomes in a Chinese cohort.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, (315): 137776, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530694",
      "keyword": [
        "Nitrosamines",
        "drinking water",
        "Low Birth Weight",
        "preterm birth"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-05",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.137776"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data supporting Modeling the Oxygen Isotope Anomaly of Reactive Nitrogen in the Community Multiscale Air Quality (CMAQ) Model",
      "description": "The data contains CMAQ fortran model code and shell scripts used for configuration in the work of Walters et al. Links are provided to base (unmodified) CMAQ release code (github and doi: 10.5281/zenodo.1079878), emissions and meteorology input data (doi: 10.15139/S3/F2KJSK), and output data from the work (doi: 10.5281/zenodo.10493756).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529801",
      "keyword": [
        "nitrate",
        "CMAQ",
        "Nitrogen and Co-pollutants",
        "Reactive Nitrogen",
        "air quality",
        "Nitric Acid",
        "pm2.5",
        "deposition",
        "nitrogen oxides",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.10493756",
          "accessURL": "https://doi.org/10.5281/zenodo.10493756",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20240416_walters_code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529801/20240416_walters_code.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/F2KJSK",
          "accessURL": "https://doi.org/10.15139/S3/F2KJSK",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Collocation Shelter Design Documents",
      "description": "This file contains design documents (pdf and dwg) that could be provided to a fabricator to build air sensor collocation shelters. \n\nThis dataset is associated with the following publication:\nKumar, M., K. Barkjohn, and A. Clements. Lessons Learned and Best Practices: Air Sensor Collocation Shelters. Presented at Summary Slides on the Air Sensor Toolbox, Virtual, NC, USA, 04/12/2024 - 04/12/2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530867",
      "keyword": [
        "collocation",
        "air sensor",
        "air quality",
        "Air monitoring",
        "Shelter",
        "design"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "CollocationShelterDesignDocuments_DWG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530867/CollocationShelterDesignDocuments_DWG.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-09-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset_For _P_Management_Paper",
      "description": "Dataset_For _P_Management_Paper. \n\nThis dataset is associated with the following publication:\nKamrath, B., and Y. Yuan. Effectiveness of Nutrient Management For Reducing Phosphorus Losses From Agricultural Areas..   Transactions of the ASABE. AMERICAN SOCIETY OF AGRICULTURAL AND BIOLOGICAL ENGINEERS, ST. JOSEPH, MI, USA, 1(2): 77-88, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529898",
      "keyword": [
        "agricultural conservation practices",
        "nutrient management",
        "phosphorous fertilization rate",
        "effectiveness",
        "agricultural areas"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Nutrient_Management_Supplemental_Materials.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529898/Nutrient_Management_Supplemental_Materials.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-03",
      "references": [
        "https://doi.org/10.13031/jnrae.15572"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the nucleic acid decay of human wastewater markers and enteric viruses in estuarine waters in Sydney, Australia",
      "description": "This study describes decay rates of microbial source tracking markers, viral surrogates and pathogens in estuarine waters under in situ conditions and in light vs dark conditions. This dataset is not publicly accessible because: Because it is not owned by EPA. It can be accessed through the following means: Data will be made available on request to corresponding author. Format: N/A- no primary/secondary data owned by EPA. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Korajkic, M. Gabrewold, S. Payyappat, M. Cassidy, N. Harrison, and C. Besley. Assessing the nucleic acid decay of human wastewater markers and enteric viruses in estuarine waters in Sydney, Australia.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 926: 171389, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530474",
      "keyword": [
        "Microbial Source Tracking",
        "decay",
        "wastewater pollution",
        "Marker Gene",
        "Human Health Risk",
        "estuarine waters"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-31",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.171389"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human biomonitoring health based guidance values Dashboard",
      "description": "a Dashboard containing current human biomonitoring health based guidance values. This dataset is not publicly accessible because: data not funded by EPA. It can be accessed through the following means: https://www.intlexposurescience.org/i-hbm/. Format: human biomonitoring health based guidance values in human specimen concentrations. \n\nThis dataset is associated with the following publication:\nMelnyk, L., S. Nakayama, A. St. Armand, and T. Pollock. Interpreting biomonitoring data: Introducing the international human biomonitoring (i-HBM) working group's health-based guidance value (HB2GV) dashboard.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 247(114046): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528919",
      "keyword": [
        "reference values",
        "guidance values",
        "biomonitoring equivalents",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-31",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2022.114046",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103580"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for A Comparison of In Vitro Points of Departure with Human Biomonitoring Levels for Per- and Polyfluoroalkyl Substances (PFAS)",
      "description": "Dataset for A Comparison of In Vitro Points of Departure with Human Biomonitoring Levels for Per- and Polyfluoroalkyl Substances (PFAS), to be published by Environmental Health Perspectives (EHP). \n\nThis dataset is associated with the following publication:\nJudson, R., D. Smith, M. Devito, J. Wambaugh, B. Wetmore, K. Friedman, G. Patlewicz, R. Thomas, R. Sayre, J. Olker, S. Degitz, S. Padilla, J. Harrill, T. Shafer, and K. Carstens. A Comparison of In Vitro Points of Departure with Human Blood Levels for Per- and Polyfluoroalkyl Substances (PFAS) (Toxics).   Toxics. MDPI, Basel,  SWITZERLAND, 12(4): 271, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529862",
      "keyword": [
        "biomonitoring",
        "in vitro points of departure",
        "CompTox Chemicals Dashboard",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Richard Judson",
        "hasEmail": "mailto:judson.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65650844e4b063812d55a86c",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=65650844e4b063812d55a86c",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-25",
      "references": [
        "https://doi.org/10.3390/toxics12040271",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11053643"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Survival, Growth, and Reproduction Responses in a Three-Generation Exposure of the Zebrafish (Danio rerio) to Perfluorooctane Sulfonate",
      "description": "Supporting Information for \"Gust KA, Mylroie JE, Kimble AN, Wilbanks MS, Steward CSC, Chapman KA, Jensen KM, Kennedy AJ, Krupa PM, Waisner SA, Pandelides Z, Garcia-Reyero N, Erickson RJ, Ankley GT, Conder J, Moore DW. Survival, Growth, and Reproduction Responses in a Three-Generation Exposure of the Zebrafish (Danio rerio) to Perfluorooctane Sulfonate. Environ Toxicol Chem. 2024 Jan;43(1):115-131. doi: 10.1002/etc.5770. Epub 2023 Nov 29. PMID: 38018867.\". \n\nThis dataset is associated with the following publication:\nGust, K., J. Mylroie, A. Kimble, M. Wilbanks, C. Steward, K. Chapman, K. Jensen, A. Kennedy, P. Krupa, S. Waisner, Z. Pandelides, N. Garcia-Reyero, R. Erickson, G. Ankley, J. Conder, and D. Moore. Survival, Growth, and Reproduction Responses in a Three-Generation Exposure of the Zebrafish (Danio rerio) to Perfluorooctane Sulfonate.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(1): 115-131, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530689",
      "keyword": [
        "growth",
        "Multigenerational exposure",
        "Perfluorooctane sulfonic acid",
        "reproduction",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOS ZF Multi Gen All Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530689/PFOS%20ZF%20Multi%20Gen%20All%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-29",
      "references": [
        "https://doi.org/10.1002/etc.5770"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data",
      "description": "Supplementary material for \"Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data\". \n\nThis dataset is associated with the following publication:\nStanfield, Z., W. Setzer, V. Hull, R. Sayre, K. Isaacs, and J. Wambaugh. Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(1): 017009, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530114",
      "keyword": [
        "Trend analysis",
        "biomonitoring data",
        "ExpoCast",
        "exposure",
        "Bayesian inference"
      ],
      "contactPoint": {
        "fn": "John Wambaugh",
        "hasEmail": "mailto:wambaugh.john@epa.gov"
      },
      "distribution": [
        {
          "title": "ehp12188.s001.acco.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530114/ehp12188.s001.acco.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EHP12188R1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530114/EHP12188R1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ehp12188.smcontents.508.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530114/ehp12188.smcontents.508.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-29",
      "references": [
        "https://doi.org/10.1289/ehp12188",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10824265"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparing the decay of human wastewater-associated markers and enteric viruses in laboratory microcosms simulating estuarine waters in a temperate climatic zone using qPCR/RT-qPCR assays",
      "description": "This study provides valuable insights into the decay rates of wastewater-associated markers and enteric viruses under different experimental conditions that mimicked temperate environmental conditions. The findings contribute to our understanding of the fate and persistence of these markers in the environment which is crucial for assessing and managing risks from contamination by untreated human wastewater. This dataset is not publicly accessible because: no primary/secondary data owned by EPA. It can be accessed through the following means: Data will be made available on request to the corresponding author, Dr Warish Ahmed. Format: N/A- no primary/secondary data owned by EPA. \n\nThis dataset is associated with the following publication:\nAhmed, W., A. Korajkic, W.J.M. Smith, S. Payyappat, M. Cassidy, N. Harrison, and C. Besley. Comparing the decay of human wastewater-associated markers and enteric viruses in laboratory microcosms simulating estuarine waters in a temperate climatic zone using qPCR/RT-qPCR assays.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 908: 167845, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530868",
      "keyword": [
        "decay",
        "microcosms",
        "human health risks",
        "Microbial Source Tracking",
        "Marker Gene",
        "wastewater pollution"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [],
      "modified": "2023-10-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167845"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simulated gastric leachate of 3D printer metal-fill filaments induces cytotoxic effects in rat and human intestinal models",
      "description": "Supplemental material for \"Hughes MF, Clapper HM, Tedla G, Sowers TD, Rogers KR. Simulated gastric leachate of 3D printer metal-fill filaments induces cytotoxic effects in rat and human intestinal models. Toxicol In Vitro. 2024 Mar 6;97:105805. doi: 10.1016/j.tiv.2024.105805. Epub ahead of print. PMID: 38458500.\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: Data will be made available on request from Michael Hughes (hughes.michaelf@epa.gov). Format: N/A. \n\nThis dataset is associated with the following publication:\nHughes, M., H. Clapper, G. Tedla, T. Sowers, and K. Rogers. Simulated gastric leachate of 3D printer metal-fill filaments induces cytotoxic effects in rat and human intestinal models.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 97: 105805, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530690",
      "keyword": [
        "3D printing",
        "cytotoxicity",
        "Gastrointestinal Tract",
        "in vitro",
        "metals"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530690/Supplemental%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-06",
      "references": [
        "https://doi.org/10.1016/j.tiv.2024.105805"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HD Vapor Profiles 091223",
      "description": "Measured sulfur mustard vapor concentrations in a 150 liter chamber in the presence of absorptive building materials. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529582",
      "keyword": [
        "fate and transport",
        "sulfur mustard",
        "chemical warfare agent",
        "CWA",
        "Air monitoring"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "HD Vapor Profiles 091223.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529582/HD%20Vapor%20Profiles%20091223.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for book chapter \"Current Progress in Sustainability Evaluation, Pollution Prevention, and Source Reduction using GREENSCOPE\"",
      "description": "https://github.com/gruizmer/GRNS_Book_chapter\n\nThis GitHub repository contains all the data needed to run the case studies for the CRC book chapter entitled \"Current Progress in Sustainability Evaluation, Pollution Prevention, and Source Reduction using GREENSCOPE.\"\n\nThe dataset files contain the steady-state and dynamic (time sets) chemical process simulation results (mass flows, temperature profiles), GREENSCOPE performance indicator results, and concentration profiles of different components for the production of acetic acid (with two separation schemes), a novel biorefinery process when operated at steady state, and the dynamic assessment for optimization and control of a coal/biomass co-gasification process (with and without a novel process control strategy). The datasets show all data values used to generate each of the figures. \n\nThis dataset is associated with the following publication:\nAgbleze, S., S. Li, E.T. Quintanar Orozco, G.J. Ruiz-Mercado, and F.V. Lima. Current Progress in Sustainability Evaluation, Pollution Prevention, and Source Reduction Using GREENSCOPE. 1st. Chapter 14, Eric C.D. Tan (ed.), Sustainability Engineering Challenges, Technologies, and Applications. CRC Press - Taylor & Francis Group, LLC, Boca Raton, FL, USA,  289-318, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524738",
      "keyword": [
        "life cycle inventory data",
        "Chemical releases",
        "emission control strategies",
        "End of Life"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/GRNS_Book_chapter",
          "accessURL": "https://github.com/gruizmer/GRNS_Book_chapter",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-03-01",
      "references": [
        "https://doi.org/10.1201/9781003167693"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "OMG-miRNA-Biomarker for STICS",
      "description": "Excel file of miRNA data. \n\nThis dataset is associated with the following publication:\nChen, H., S. Masood, A. Rappold, D. Diaz Sanchez, J. Samet, and H. Tong. The effects of controlled ozone exposure on circulating microRNAs and vascular and coagulation biomarkers: a mediation analysis.   Non-Coding RNA. MDPI, Basel,  SWITZERLAND, 9(4): 43, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530958",
      "keyword": [
        "inflammation"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "OMG-miRNA-Biomarkers-for STICS(2).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530958/OMG-miRNA-Biomarkers-for%20STICS%282%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-06",
      "references": [
        "https://doi.org/10.3390/ncrna9040043",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459325"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Multi-pollutant BenMAP Analysis Data",
      "description": "Air quality data for Georgia for the years 2011 and 2025 for the pollutants: CO, EC, NH4, NO2, NO3-, O3, OC, PM2.5, SO2, SO4, and Secondary PM2.5. In addition the beta coefficients for single and multipollutant models and the accompanying variance-covariance matrix from Winquist et al. (2014), which examined single and multipollutant exposures and pediatric asthma ED visits. \n\nThis dataset is associated with the following publication:\nCoffman, E., A.G. Rappold, R.C. Nethery, J. Anderton, M. Amend, M.A. Jackson, H. Roman, N. Fann, K.R. Baker, and J.D. Sacks. Quantifying Multipollutant Health Impacts Using the Environmental Benefits Mapping and Analysis Program–Community Edition (BenMAP-CE): A Case Study in Atlanta, Georgia.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(3): 037003, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530090",
      "keyword": [
        "asthma",
        "air pollution",
        "Multipollutant Approach"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "Winquist_vcov.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530090/Winquist_vcov.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Winquist_betas.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530090/Winquist_betas.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MP BenMAP - GA AQ Data 2011 and 2025.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530090/MP%20BenMAP%20-%20GA%20AQ%20Data%202011%20and%202025.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-10",
      "references": [
        "https://doi.org/10.1289/ehp12969",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530090/documents/MP%20BenMAP_Meta-data%20for%20Science%20Hub%20-%204192023.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS leachate concentrations in Puerto Rico Landfills",
      "description": "The data represents the information that was used to create the figures and the tables used in the manuscript. \n\nThis dataset is associated with the following publication:\nRobey, N., Y. Liu, M. Crespo-Medina, J. Bowden, H. Solo-Gabriele, T. Townsend, and T. Tolaymat. Characterization of Per- and Polyfluoroalkyl Substances (PFAS) and Other Constituents in MSW Landfill Leachate from Puerto Rico.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 358: 142131, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529916",
      "keyword": [
        "Contamination",
        "PFAS",
        "leachate",
        "landfills",
        "Puerto Rico"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables and Figures data from PR PFAS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529916/Tables%20and%20Figures%20data%20from%20PR%20PFAS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.142141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soybean microbiome response to CeO2 nanoparticles",
      "description": "16S amplicon sequencing data used to determine the changes in the soybean root-associated microbiome in response to cerium oxide nanoparticles (CeNPs) in a natural soil. Samples include low (1 ppm) and high (100 ppm) concentrations of CeNPs, as well as pristine and aged CeNP treatments. These treatments were designed to assess how environmentally relevant concentrations of CeNPs affect soybean growth, and whether aging CeNPs changes the biological response. The 60 total samples are comprised of 4 experimental replicates from each of the 5 treatments, with 3 spatial compartments (of varying proximity to the root surface). \n\nThis dataset is associated with the following publication:\nReichman, J., M.R. Slattery, M.G. Johnson, C. Andersen, and S.L. Harper. CeO2 nanoparticle dose and exposure modulate soybean development and plant-mediated responses in root-associated bacterial communities.   Scientific Reports. Nature Publishing Group, London,  UK, 14: 10231, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1504131",
      "keyword": [
        "ammonium nitrate",
        "intergenerational effects",
        "isotope",
        "isotopic discrimination",
        "nitrogen",
        "engineered nanomaterials (ENMs)"
      ],
      "contactPoint": {
        "fn": "Christian Andersen",
        "hasEmail": "mailto:andersen.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA549519",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/PRJNA549519",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-07",
      "references": [
        "https://doi.org/10.1038/s41598-024-60344-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11068890"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Age and Exposure Duration on the Sensitivity of Early Life Stage Fathead Minnow (Pimephales promelas) to Waterborne Propranolol Exposure",
      "description": "Given that larval fish stages provide opportunities for development of stressor-selective screening level tests, this work aimed to investigate the optimal age of fathead minnow larva and duration of exposure for the pharmaceutical, propranolol, found in the environment. Differentially expressed genes were studied as well as gene set enrichment analysis. \n\nThis dataset is associated with the following publication:\nBiales, A., D. Bencic, R. Flick, and G. Toth. Effects of Age and Exposure Duration on the Sensitivity of Early Life Stage Fathead Minnow (Pimephales promelas) to Waterborne Propranolol Exposure.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(4): 807-820, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530882",
      "keyword": [
        "fathead minnow",
        "development",
        "chemical risk",
        "gene expression",
        "propranolol"
      ],
      "contactPoint": {
        "fn": "Adam Biales",
        "hasEmail": "mailto:biales.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE197442",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE197442",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-10-03",
      "references": [
        "https://doi.org/10.1002/etc.5814"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Dynamically Downscaled Ensemble (EDDE), Version 1",
      "description": "The EPA Dynamically Downscaled Ensemble (EDDE) datasets were prepared by EPA/ORD staff and by contract staff who worked under the technical guidance of EPA/ORD staff. The dataset here represents a subset of data that were dynamically downscaled by EPA from the fifth Coupled Model Intercomparison Project (CMIP5) using the Weather Research and Forecasting (WRF) model using the EPA High-End Scientific Computing platforms. Scenarios were downscaled from the Community Earth System Model (CESM) and the Geophysical Fluid Dynamics Laboratory (GFDL) Coupled Model version 3 (CM3). Simulations followed the historical periods 1975-2005 (CESM only) and 1995-2005 (both CESM and CM3), and Representative Concentration Pathways (RCP) 4.5 for 2025-2100 (CESM only), RCP6.0 for 2025-2055 (CESM only), and RCP8.5 for 2025-2100 (both CESM and CM3). The original downscaling was conducted during 2013-2018. Subsets of the original dataset were prepared using postprocessing software developed by EPA/ORD staff. This dataset is not publicly accessible because: Dataset is too large to be hosted in ScienceHub. It is ~5 terabytes. It can be accessed through the following means: Ideally, this dataset will be publicly accessible from the Cloud. Negotiations are underway to support that hosting venue. Format: Data are in Network Common Data Form (netCDF; https://unidata.ucar.edu/software/netcdf) version 4, which is commonly used and consumed by practitioners in the atmospheric modeling community. The EDDE data in netCDF are further written to adhere to principles of Climate and Forecasting System (CF) Compliance, as outlined at https://cfconventions.org. The files to be hosted are self-describing with metadata included in the netCDF header.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530964",
      "keyword": [
        "climate change",
        "dynamical downscaling",
        "Extreme Weather",
        "regional climate",
        "WRF"
      ],
      "contactPoint": {
        "fn": "Tanya Spero",
        "hasEmail": "mailto:spero.tanya@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data",
      "description": "Supplementary data for \"Tia Tate, Grace Patlewicz, Imran Shah,\nA comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data, Computational Toxicology, Volume 29,  2024, 100301, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2024.100301.\". \n\nThis dataset is associated with the following publication:\nTate, T., G. Patlewicz, and I. Shah. A comparison of machine learning approaches for predicting hepatotoxicity potential using chemical structure and targeted transcriptomic data.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 29: 100301, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530883",
      "keyword": [
        "machine learning",
        "ToxRefDB",
        "HTTr",
        "GenRA"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S2468111324000033-mmc1.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530883/1-s2.0-S2468111324000033-mmc1.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-04",
      "references": [
        "https://doi.org/10.1016/j.comtox.2024.100301"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mussel test methods development",
      "description": "Additional data generated during the present study are available as a US Geological Survey data release at https://doi.org/XXXX (pending). \n\nThis dataset is associated with the following publication:\nWang, N., J. Kunz, D. Cleveland, R. Dorman, J. Steevens, S. Raimondo, T. Augsberger, and C. Barnhardt. Evaluation of Chronic Effects of Potassium Chloride and Nickel on Survival, Growth, and Reproduction of a Unionid Mussel (Lampsilis siliquoidea).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(5): 1097–1111, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529596",
      "keyword": [
        "freshwater mussels",
        "chronic toxicity",
        "Methods development",
        "aquatic toxicity"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9Z2M6QL.",
          "accessURL": "https://doi.org/10.5066/P9Z2M6QL.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-16",
      "references": [
        "https://doi.org/10.1002/etc.5843"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FKastury JHazMat XAS and SEM data",
      "description": "Includes all data collected by the US EPA; X-ray absorption spectroscopy (XAS) data on the Lead L3-edge and the Arsenic K-edge and Scanning Electron Microscopy with paired energy dispersive X-ray spectroscopy (EDS) at select spots. \n\nThis dataset is associated with the following publication:\nKastury, F., J. Basedin, A.R. Betts, R. Asamoah, C. Herde, P. Netherway, J. Tully, K.G. Scheckel, and A.L. Juhasz. Arsenic, cadmium, lead, antimony bioaccessibility and relative bioavailability in legacy gold mining waste.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 469: 133948, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530970",
      "keyword": [
        "Bioaccessibility",
        "bioavailability",
        "relative bioavailability",
        "arsenic speciation",
        "lead speciation",
        "synchrotron speciation",
        "Gold mining"
      ],
      "contactPoint": {
        "fn": "Aaron Betts",
        "hasEmail": "mailto:betts.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "FKastury JHazMat data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530970/FKastury%20JHazMat%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-01",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.133948"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for manuscript Neutralization of Ricin Toxin on Building Interior Surfaces Using Liquid Decontaminants",
      "description": "These are the raw data underlying the data presented in the manuscript. \n\nThis dataset is associated with the following publication:\nRichter, W., B. Weston, M. Sunderman, Z. Willenberg, K. Ratliff, and J. Wood. Neutralization of Ricin Toxin on Building Interior Surfaces using Liquid Decontaminants.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 19(5): e0302967, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529431",
      "keyword": [
        "Ricin",
        "Decontamination",
        "homeland security",
        "emergency response",
        "Contaminated Sites"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Repeated_H2O2_Minncare_30m_Results-ZJWedits.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Repeated_H2O2_Minncare_30m_Results-ZJWedits.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Repeat_3% H2O2_60_120m_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Repeat_3%25%20H2O2_60_120m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oxyclean_60_120m_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Oxyclean_60_120m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Minncare_15_60m_Results-ZJW comments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Minncare_15_60m_Results-ZJW%20comments.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Formula409_60_120m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Formula_409_30m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Clorox_Oxyclean_30m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Clorox_7500ppm_30m_Results.xlsx",
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        },
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          "title": "Clorox_20Kppm_30m_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Clorox_20Kppm_30m_Results.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Clorox 7500_60_120m_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Clorox%207500_60_120m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Clorox 1000ppm_60_120m_Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Clorox%201000ppm_60_120m_Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20K Clorox_60m_120m_Results-ZJW comments.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/20K%20Clorox_60m_120m_Results-ZJW%20comments.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Explanation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Data%20Explanation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Read me first data dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529431/Read%20me%20first%20data%20dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://doi.org/10.1371/journal.pone.0302967",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11081333"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Smoot et al_Burn pit developmental data",
      "description": "Raw data for Smoot et al Burn pit manuscript. \n\nThis dataset is associated with the following publication:\nSmoot, J., S. Padilla, Y.H. Kim, D. Hunter, A. Tennant, B. Hill, M. Lowery, B. Knapp, W. Oshiro, M. Hazari, M. Hays, W. Preston, i. Jaspers, M. Gilmour, and A. Farraj. Burn pit-related smoke causes developmental and behavioral toxicity in zebrafish: Influence of material type and emissions chemistry.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 10(8): e29675, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530967",
      "keyword": [
        "air pollution",
        "burn pit smoke",
        "wildland fires",
        "zebrafish",
        "particulate matter",
        "Developmental Toxicity",
        "behavior",
        "malformations"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Smoot et al_Supplementary File 2_Data_1-18-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530967/Smoot%20et%20al_Supplementary%20File%202_Data_1-18-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-18",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2024.e29675",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11053193"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Description for Risk of Dementia Due to Co-Exposure to Air Pollution and Neighborhood Disadvantage",
      "description": "This dataset contains information on air pollution exposure, social determinants of health, dementia outcomes, and related confounders from the National Health and Aging Trends Study. This dataset is not publicly accessible because: This data was not produced by the EPA and is not owned by the EPA. It can be accessed through the following means: The data can be accessed by contacting the corresponding author listed in the manuscript. Format: The data is in tabular format with rows corresponding to observations and columns corresponding to outcomes, confounders, and exposures. \n\nThis dataset is associated with the following publication:\nFrndak, S., Z. Deng, C. Ward-Caviness, I. Gorski-Steiner, R. Thorpe, and A. Dickerson. Risk of Dementia Due to Co-Exposure to Air Pollution and Neighborhood Disadvantage.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 251(Part 2): 118709, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530960",
      "keyword": [
        "Dementia",
        "air pollution",
        "Aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-15",
      "references": [
        "https://doi.org/10.1016/j.envres.2024.118709"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Historical Case Studies for Coatings",
      "description": "Data present in references cited are in graphs, tables, and/or text. This dataset is not publicly accessible because: Data are publicly available in the references cited. It can be accessed through the following means: Accessing the references. Format: Journal articles (references for the review article) contain data on which percent efficiencies (when presented in the manuscript) were calculated. \n\nThis dataset is associated with the following publication:\nButler, B.A., and L.E. Brase. Critical Review of Field Studies of Chemical Surface Coatings to Mitigate Leaching from Mining Wastes.   Mine Water and the Environment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 43: 03-15, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529127",
      "keyword": [
        "Passivation",
        "remediation",
        "source control",
        "microencapsulation"
      ],
      "contactPoint": {
        "fn": "Barbara Butler",
        "hasEmail": "mailto:butler.barbara@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-01",
      "references": [
        "https://doi.org/10.1007/s10230-024-00973-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "UEFW-ConstructedWetlands_MSDataFile_17Jul2023.xlsx",
      "description": "Watershed flow and nutrient species measured data for model calibration, Edge-of-field wetland demonstration project flow monitoring and water quality sampling data for assessing treatment performance; UEFW SWAT Model HRU subbasin output for ACPF sited NRWs; summary cost effectiveness results and parameters used in calculating cost effectiveness. \n\nThis dataset is associated with the following publication:\nNietch, C., B. Hawley, A. Safwat, J. Christensen, M. Heberling, J. McManus, R. McClatchey, H. Lubbers, N. Smucker, E. Onderak, and S. Macy. Implementing constructed wetlands for nutrient reduction at watershed scale: Opportunity to link models and real-world execution.   JOURNAL OF SOIL AND WATER CONSERVATION. Soil and Water Conservation Society,    79(3): 113-131, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529278",
      "keyword": [
        "constructed wetlands",
        "cost effectiveness",
        "agricultural conservation practices",
        "watershed modeling",
        "Implementation",
        "nutrient management",
        "Watershed Calibration Data",
        "edge-of-field wetland demonstration data",
        "parameters for cost effectiveness calculations"
      ],
      "contactPoint": {
        "fn": "Christopher Nietch",
        "hasEmail": "mailto:nietch.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "UEFW-ConstructedWetlands_MSDataFile_17Jul2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529278/UEFW-ConstructedWetlands_MSDataFile_17Jul2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-17",
      "references": [
        "https://doi.org/10.2489/jswc.2024.00077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Improving predictions of compound amenability for liquid chromatography-mass spectrometry to enhance non-targeted analysis",
      "description": "Twelve supplementary files from the manuscript \"Improving predictions of compound amenability for liquid chromatography-mass spectrometry to enhance non-targeted analysis\".",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530975",
      "keyword": [
        "mass spectrometry",
        "non-targeted analysis",
        "Predictive Modeling",
        "Suspect screening analysis."
      ],
      "contactPoint": {
        "fn": "Nathaniel Charest",
        "hasEmail": "mailto:charest.nathaniel@epa.gov"
      },
      "distribution": [
        {
          "title": "216_2024_5229_MOESM_ESM.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530975/216_2024_5229_MOESM_ESM.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A systematic analysis of read-across within REACH registration dossiers",
      "description": "G. Patlewicz, P. Karamertzanis, K. Paul Friedman, M. Sannicola, I. Shah, A systematic analysis of read-across within REACH registration dossiers, Computational Toxicology, Volume 30, 2024, 100304, ISSN 2468-1113, https://doi.org/10.1016/j.comtox.2024.100304",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530988",
      "keyword": [
        "ToxValDB",
        "GenRA",
        "ECHA",
        "Reach"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/patlewig/read-across/",
          "accessURL": "https://github.com/patlewig/read-across/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.25343383",
          "accessURL": "https://doi.org/10.23645/epacomptox.25343383",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S2468111324000069-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530988/1-s2.0-S2468111324000069-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systematic Approaches for the Encoding of Chemical Groups: A Case Study",
      "description": "The Supporting Information contains the following material: data set with ARN groups downloaded from https://echa.europa.eu/assessment-regulatory-needs in Feb 2023 (S1_2023_02_03_assessment-of-regulatory-needs--arn─export.xlsx)\n\nCurated data set with ARN groups with molecular structures and their quality scores, that was used for building the models (S2_ARN_groups.xlsx)\n\nDescriptive statistics for the 86 substance groups (S3_ARN_stats.xlsx). For each group, we provide the number of substances as in the ARN group, the number of substances matched in DSSTox, the DSSTox substance type and the number of substances with structural information and its quality; document with additional figures and explanations referred to in the manuscript (S4_SystematicGroupingSI.docx)\n\nPredicted groups, probabilities and domain assessment for all nonconfidential substances registered under REACH (S5_rf_application_1_results_redacted.xlsx); Cross-validation scoring results obtained in every iteration of outer and inner grid search for the random forest (RF) model (S6_outer_inner_grid_details_rf.xlsx)\n\nCross-validation scoring results obtained in every iteration of outer and inner grid search for the nearest neighbor (kNN) model (S7_outer_inner_grid_details_kn.xlsx)\n\nCross-validation scoring results obtained for the gradient boosting (GB) model. This data set is only provided for completeness because the GB model was evaluated but not used further. Due to the computational cost, we only performed the inner grid search using the optimal fingerprint parameters identified by the outer grid search with kNN and RF (radius 2, length 2,560) (S8_outer_inner_grid_details_gb.xlsx) (ZIP)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530990",
      "keyword": [
        "DSSTox",
        "categories",
        "TSCA",
        "ECHA",
        "Reach"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "Supporting Information.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530990/Supporting%20Information.zip",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/pkaramertzanis/regulatory_grouping",
          "accessURL": "https://github.com/pkaramertzanis/regulatory_grouping",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Virginia Site A Database",
      "description": "The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air. \n\nThis dataset is associated with the following publication:\nLutes, C., V. Boyd, G. Buckley, L. Levy, K. Bronstein, J. Zimmerman, A. Williams, and B. Schumacher. Impact of Hurricanes, Tropical Storms, and Coastal Extratropical Storms on Indoor Air VOC Concentrations.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(2): 101-117, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529536",
      "keyword": [
        "Temporal Variability",
        "volatile organic compounds",
        "TCE",
        "vapor intrusion",
        "radon"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1111/gwmr.12642",
          "accessURL": "https://doi.org/10.1111/gwmr.12642",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-12",
      "references": [
        "https://doi.org/10.1111/gwmr.12642",
        "https://pasteur.epa.gov/uploads/10.23719/1529536/documents/gwmr12642-sup-0001-supinfo.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529536/documents/Data%20dictionary%20can%20be%20found%20in%20supplemental%20data%20in%20supporting%20document%20section.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Occurrence of Recreational Water Quality Monitoring General Fecal Indicator Bacteria and Fecal Source Identification Genetic Markers in Gray Seal Scat",
      "description": "Data set consists of qPCR measurements for fecal indicator bacteria genetic markers reported in Figure 2. \n\nThis dataset is associated with the following publication:\nPaar, J., J. Willis, L. Sette, S.A. Wood, A. Bogomolni, M. Dulac, M. Sivaganesan, and O. Shanks. Occurrence of recreational water quality monitoring general fecal indicator bacteria and fecal source identification genetic markers in gray seal scat.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 934: 173220, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529743",
      "keyword": [
        "micorbial source tracking",
        "qPCR",
        "fecal indicator bacteria",
        "gray seal",
        "Microbial Source Tracking"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Paar etal 20xx_ Gray Seal FIB data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529743/Paar%20etal%2020xx_%20Gray%20Seal%20FIB%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-21",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.173220"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Phosphorus recovery in municipal wastewater and socioeconomic impacts in Canada and the United States",
      "description": "The datasets contain the computer code and data required to determine the cost and economic impacts of phosphorus recovery from municipal wastewater in Canada and the United States. The datasets supply data to (i) calculate the efficiency and cost of phosphorus recovery from the aqueous phase of digestate and sewage sludge for wastewater resource recovery facilities (WRRFs) as shown in Figure 1; (ii) estimate the average annual per capita phosphorus recovery cost and the household affordability index (HAI) across the second-level territory divisions (census divisions (Canada) and counties (United States)) when excluding and including the offset cost derived from avoiding potential environmental damage caused by phosphorus releases as shown in Figure 2; (iii) supply the distribution of population in urban and rural areas, the treatment level of the WRRFs, and the phosphorus recovery points as a function of the WRRF scale in the studied regions of Canada and the United States as shown in Figure 3; and (iv) describe the distribution of the average phosphorus recovery cost, annual per capita phosphorus recovery costs, and the HAI per studied regions as shown in Figure 4.  \n\nData describing the WRRFs’ location and characteristics across the studied regions of Canada and the United States are retrieved from the HydroWASTE database (https://www.hydrosheds.org/products/hydrowaste), including their spatial coordinates, treatment level, treatment design capacity, and population served. The HydroWASTE database reports the WRRF treatment level as primary, secondary, and advanced treatment. Since the U.S. Environmental Protection Agency does not define numeric nutrient water quality criteria for secondary wastewater treatment effluents, we consider that only the WRRFs with advanced treatments have specific processes for removing phosphorus from the liquid effluent.\n\nTo perform the analysis at the second-level divisions, data on total population, distribution of population in urban and rural areas, total income, and average annual income per capita are retrieved at the census division and county level for Canada and the United States, respectively. Data for the year 2020 is considered since it is the most recent information available for both countries. The first-level divisions level corresponds to census divisions of the United States, which provide territorial divisions similar in terms of development, demographic characteristics, and economic activities, being extensively used for collecting and analyzing data throughout the United States. A table of the states included in each United States census division can be found in the Supplementary Information file. The equivalent of the United States census divisions for Canada is the Canadian provinces and territories, although it must be noted that, unlike the case of the United States, their definition is guided by administrative and political considerations instead of statistical criteria.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530881",
      "keyword": [
        "nutrient pollution",
        "Phosphorus recovery",
        "Social impact",
        "Wastewater Resource Recovery Facilities"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/doi/10.5281/zenodo.10485771",
          "accessURL": "https://zenodo.org/doi/10.5281/zenodo.10485771",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-04-12",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1530881/documents/P_WWTP_Impact%20manuscript%20for%20RAPID%20SupMat.pdf",
        "https://www.hydrosheds.org/products/hydrowaste"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conley 2023 Dose additive effects mixture HFPO-DA, NBP2, PFOS Dataset",
      "description": "Dataset includes summary statistics (mean, standard error, sample size) for all endpoints measured and reported in the experiments described in the published manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, A. Farraj, J. Smoot, R. Grindstaff, D. Jenkins-Hill, J. McCord, E. Medlock Kakaley, A. Dixon, E. Hines, and L. Gray. Dose additive maternal and offspring effects of oral maternal exposure to a mixture of three PFAS (HFPO-DA, NBP2, PFOS) during pregnancy in the Sprague-Dawley rat.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 892: 164609, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530884",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "chemical mixtures",
        "Dose Additivity",
        "Developmental Toxicity",
        "liver toxicity"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0048969723032308-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0048969723032308-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.164609",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530884/documents/ConleyJustin_359421_Dataset_Dictionary_2023-6-10.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Colorado 2020 Input-Output Model with Extensions for Jobs, Greenhouse Gases and Value Added",
      "description": "This is a USEEIO State Model created for Colorado in 2020 that has a limited number of environmental and economic extensions for jobs, greenhouse gas emissions, and value added. The model was created in useeior using StateIO model components. A script to create the model can be found at https://github.com/USEPA/USEEIO-State/blob/4a89319002dd25810ac7fca26052e7e77017417b/Demo-Multipliers-CO.md. The useeior model specification file is at https://github.com/USEPA/USEEIO-State/blob/4a89319002dd25810ac7fca26052e7e77017417b/model_specs/COEEIOv1.0-s-JGV-20.yml. This model was created to demonstrate the use of StateIO models for the 2024 Department of Interior Economics training workshop.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531007",
      "keyword": [
        "economic impact analysis",
        "state economic models",
        "Input-Output Analysis",
        "USEEIO"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/USEEIO-State/COEEIOv1.0-s-JGV-20.xlsx",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/USEEIO-State/COEEIOv1.0-s-JGV-20.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/USEEIO-State/COEEIOv1.0-s-JGV-20.rds",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/USEEIO-State/COEEIOv1.0-s-JGV-20.rds",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/blob/v1.5.1/format_specs/Model.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid'",
      "description": "These spreadsheets contain the underlying data, calculations, and R code for the figures of the manuscript \"Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid\". The first tab of every spreadsheet contains descriptions of the data (metadata). For clarifying questions regarding the data, please contact Dr. Brian Chorley (EPA-ORD) at chorley.brian@epa.gov. If you require a review token for the sequencing datasets located in the GEO links (RNAseq and RRBS), please contact Dr. Chorley. \n\nThis dataset is associated with the following publication:\nCarswell, G., J. Chamberlin, B. Bennett, P. Bushel, and B. Chorley. Persistent gene expression and DNA methylation alterations linked to carcinogenic effects of dichloroacetic acid.   Frontiers in Oncology. Frontiers, Lausanne,  SWITZERLAND, 14: 1389634, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529544",
      "keyword": [
        "dichloroacetic acid",
        "liver cancer",
        "DNA methylation",
        "transcriptomics",
        "archival samples"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242661",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242661",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242664",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242664",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242665",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE242665",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figures 5C_7C_9C_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figures%205C_7C_9C_data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Figures 2_5_7_9A_B_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figures%202_5_7_9A_B_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figure%208_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 6_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figure%206_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 4_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figure%204_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3B_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figure%203B_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 3A_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529544/Figure%203A_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-08",
      "references": [
        "https://doi.org/10.3389/fonc.2024.1389634",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11099211"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nutrient Explorer Application Default Datasets from LAGOS-NE and National Nutrient Inventories",
      "description": "This dataset contains the default data provided with the Nutrient Explorer Downloadable application (SI: https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=CPHEA&dirEntryId=358039), which is used for testing out the features and capabilities of the app.  The dataset is based off of LAGOS-NE, lake total nitrogen and total phosphorus concentration data from lakes in the Northeast United States and is combined with a number of explanatory variables such as geology, land use, climate, nutrient inputs, and lake characteristics. Portions of this dataset are inaccessible because: The *.RData format is not allowed to be uploaded on ScienceHub (see above response). They can be accessed through the following means: The *.RData files can be accessed when the user downloaded the NutrientExplorer application zip files on the ScienceInventory link: https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=CPHEA&dirEntryId=358039.\r\nThe user need to have RStudio installed to open the application and be able to use the RData files. Format: Some of the data files associated with the Nutrient Explorer application are in the *.RData format, which can not be uploaded to ScienceHub.  These files include hydrologic unit (HU8) watershed shapefiles and some datasets similar to the *.csv files uploaded here containing variables used for testing out the application's features. \n\nThis dataset is associated with the following publication:\nPennino, M., M. Fry, R. Sabo, and J. Carleton. Nutrient Explorer: An analytical framework to visualize and investigate drivers of surface water quality.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   170: 105853, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529141",
      "keyword": [
        "Multilinear regression",
        "Lake water quality",
        "phosphorus",
        "random forest modeling",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Michael Pennino",
        "hasEmail": "mailto:pennino.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "LAGOS_Data_Reduced.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Data_Reduced.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_S1_LAGOS_Full_Variables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/Table_S1_LAGOS_Full_Variables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LAGOS_Full_Variables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Full_Variables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LAGOS_Data_5000Rows.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/LAGOS_Data_5000Rows.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HUC8_2007_7_Average_MaxDepth2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/HUC8_2007_7_Average_MaxDepth2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HUC8_2007_7_Average_MaxDepth.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/HUC8_2007_7_Average_MaxDepth.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-16",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2023.105853"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529141/documents/Table_S1_LAGOS_Full_Variables.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "National Wetland Condition Assessment 2016 Datafiles for Report “National Wetland Condition Assessment: The Second Collaborative Survey of Wetlands in the United States”",
      "description": "The National Wetland Condition Assessment (NWCA) is a statistical survey of the condition of wetlands in the conterminous United States. It is designed to provide information on the extent of wetlands that support healthy biological condition, estimate how widespread major stressors are that impact wetland quality, and provide insight into the ecological integrity of wetlands nationwide. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NWCA 2016 report. Sampling was conducted in the spring and summer of 2016 at approximately 1,000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include site information, vegetation characteristics, soil properties and chemistry, hydrology sources and disturbances, physical habitat, landscape metrics, algal toxins (microcystin), and water chemistry. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.\n\nCitation for the NWCA 2016 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Wetland Condition Assessment 2016 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2016. DOI: 10.23719/1531014 \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Wetland Condition Assessment 2016 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” \n\nAdditional information: NWCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531014",
      "keyword": [
        "wetlands",
        "National Wetland Condition Assessment",
        "NWCA",
        "EPA",
        "states",
        "Tribes",
        "statistical survey",
        "condition",
        "assessment",
        "biological",
        "chemical",
        "physical habitat",
        "soil",
        "floristic quality",
        "water quality",
        "National Aquatic Resource Surveys",
        "NARS"
      ],
      "contactPoint": {
        "fn": "Gregg Serenbetz",
        "hasEmail": "mailto:serenbetz.gregg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2016",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2016",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pregnancy gut metabolome",
      "description": "Data from, \"Gut metabolic changes during pregnancy reveal the importance of gastrointestinal region in sample collection.\". \n\nThis dataset is associated with the following publication:\nMoore, M., J. Ford, M. Schladweiler, J. Dye, T. Jackson, and C. Miller. Gut metabolic changes during pregnancy reveal the importance of gastrointestinal region in sample collection.   Metabolomics. Plenum Press, New York, NY, USA, 20(2): 40, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530871",
      "keyword": [
        "gut",
        "metabolomics",
        "pregnancy",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530871/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-16",
      "references": [
        "https://doi.org/10.1007/s11306-024-02099-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for emissions estimates from fires in the wildland urban interface",
      "description": "This data set includes the emission factors and emission estimates that are used to generate the figures and tables in the manuscript. \n\nThis dataset is associated with the following publication:\nHolder, A., A. Ahmed, J. Vukovich, and V. Rao. Hazardous air pollutants emission estimates from wildfires in the wildland urban interface.   PNAS Nexus. Oxford University Press, OXFORD,  UK, 2(6): pgad186, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528455",
      "keyword": [
        "smoke",
        "particulate matter (PM)",
        "Toxic emissions",
        "Structure fire"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset for emission estimates.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528455/Dataset%20for%20emission%20estimates.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-23",
      "references": [
        "https://doi.org/10.1093/pnasnexus/pgad186",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281377"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An improved multicellular human organoid model for the study of chemical effects on palatal fusion",
      "description": "Effects of chemicals on palate organoid fusion. Portions of this dataset are inaccessible because: Dataset upload. For questions, contact data lead. They can be accessed through the following means: Dataset is attached. Format: Various file formats. \n\nThis dataset is associated with the following publication:\nWolf, C., H. Ftizpatrick, C. Becker, J. Smith, and C. Wood. An improved multicellular human organoid model for the study of chemical effects on palatal fusion.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 115(16): 1513-1533, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530973",
      "keyword": [
        "tissue fusion",
        "cleft palate",
        "Teratogen",
        "organotypic"
      ],
      "contactPoint": {
        "fn": "Cynthia Wolf",
        "hasEmail": "mailto:wolf.cynthiaj@epa.gov"
      },
      "distribution": [
        {
          "title": "Spheroid-organoid 3CT model paper data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530973/Spheroid-organoid%203CT%20model%20paper%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-02",
      "references": [
        "https://doi.org/10.1002/bdr2.2229"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microbial Emission Factors: The Foundation for a Terrestrial-Atmospheric Modeling of Bacteria Aerosolized in Wildland Fires",
      "description": "The data includes PM2.5 emission factors from prescribed forest fires at Fishlake National Forest, Utah, USA. Portions of this dataset are inaccessible because: The non-generated data was not commissioned by EPA. They can be accessed through the following means: By contacting the creator lkobziar@uidaho.edu. Format: Data were created by Leda Kobizar and is publicly available upon request. \n\nThis dataset is associated with the following publication:\nKobziar, L., P. Lampman, A. Tohidi, A. Kochanski, A. Cervantes, A. Hudak, R. McCarley, B. Gullett, J. Aurell, R. Moore, D. Vuono, B. Christner, A. Watts, J. Cronan, and R. Ottmar. Bacterial Emission Factors: A Foundation for the Terrestrial-Atmospheric Modeling of Bacteria Aerosolized by Wildland Fires.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58: 2413-2422, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530968",
      "keyword": [
        "pyroaerobiology",
        "bioaerosol",
        "smoke",
        "Aerosol",
        "wildfire",
        "atmospheric transport model"
      ],
      "contactPoint": {
        "fn": "Johanna Aurell",
        "hasEmail": "mailto:aurell.johanna@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Micro EF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530968/Data%20Table%20Science%20Hub%20Micro%20EF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-09",
      "references": [
        "https://doi.org/10.1021/acs.est.3c05142",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10851933"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detection of anatoxins in human urine by liquid chromatography triple quadrupole mass spectrometry and ELISA ",
      "description": "Validated analytical chemistry methods for measuring anatoxin-a in urine. \n\nThis dataset is associated with the following publication:\nCunningham, B., S. Lagon, W. Bragg, D. Jenkins-Hill, R. Shaner, and E. Hamelin. Detection of anatoxins in human urine by liquid chromatography triple quadrupole mass spectrometry and ELISA.   Toxins. MDPI, Basel,  SWITZERLAND, 16(3): 129, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530966",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "anatoxin",
        "urine detection",
        "high resolution mass spectometry",
        "exposure",
        "Harmful Algal Blooms"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2F2072-6651%2F16%2F3%2F129&data=05%7C02%7CHill.Donna%40epa.gov%7C11b45092ecfb4e6dc8cd08dc6f9718d2%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C638507942011853631%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=9MY%2B48CaLvGhvp1qiZPXv%2Bs097Op9ElCQ3r6iPcPEzE%3D&reserved=0",
          "accessURL": "https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mdpi.com%2F2072-6651%2F16%2F3%2F129&data=05%7C02%7CHill.Donna%40epa.gov%7C11b45092ecfb4e6dc8cd08dc6f9718d2%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C638507942011853631%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=9MY%2B48CaLvGhvp1qiZPXv%2Bs097Op9ElCQ3r6iPcPEzE%3D&reserved=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-02-23",
      "references": [
        "https://doi.org/10.3390/toxins16030129",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10975466"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microphysical Characteristics of North Carolina Coastal Precipitation Measured using a Parsivel2 Disdrometer from October 2021 to April 2022",
      "description": "The data used for presenting the accumulated raw raindrops number distribution in the diameter-velocity domain and the normalized occurrence frequency of DSD samples in the Dm―log10Nw domain. These data are also used to generate numerous relationships. These relationships include rain intercept parameter (N0) vs. shape factor (μ), μ vs. slope factor (Λ), log10Nw vs. median volume diameter (D0), D0 vs. R, R vs. kinetic energy (KE), and the Z―R relationship. \n\nThis dataset is associated with the following publication:\nYuan, L., A. Mikelonis, and M. Pirhalla. Exploring the Statistical Characteristics of Coastal Winter Precipitation Measured using a Parsivel2 Disdrometer: A Case Study in North Carolina.   Atmospheric Research. Elsevier Science BV, Amsterdam,  NETHERLANDS, 307: 107487, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529804",
      "keyword": [
        "Raindrop size distribution",
        "Rainfall",
        "coastal precipitation",
        "DSD"
      ],
      "contactPoint": {
        "fn": "Lifeng Yuan",
        "hasEmail": "mailto:yuan.lifeng@epa.gov"
      },
      "distribution": [
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          "title": "figure12.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure12.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure11.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure11.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure10.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure9.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure8.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure8.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/figure3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529804/Figure2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-18",
      "references": [
        "https://doi.org/10.1016/j.atmosres.2024.107487"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Simultaneous time-resolved aqueous haloamine measurement empowers robust kinetic model analysis V1",
      "description": "Data is for manuscript entitled \"Simultaneous time-resolved aqueous haloamine measurement empowers robust kinetic model analysis\". This dataset is not publicly accessible because: The data was not generated by EPA.  It can be accessed by contacting the corresponding author. It can be accessed through the following means: Contact the manuscript corresponding author: Pawel K. Mistztal at misztal@utexas.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nBrodfuehrer, S., D. Blomdahl, D. Wahman, G. Speitel, Jr., P. Mistztal, and L. Katz. Simultaneous time-resolved aqueous haloamine measurement enable analysis of disinfectant degradation kinetics and by-product formation.   Nature Water. Nature Portfolio, Berlin,  GERMANY, 2: 434-442, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528543",
      "keyword": [
        "chloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2023-02-14",
      "references": [
        "https://doi.org/10.1038/s44221-024-00227-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimates of biomass reductions of ozone sensitive herbaceous plants in California",
      "description": "We estimated risk of biomass loss due to ozone for selected ozone-sensitive herbaceous plants in California.  We combined U.S. Environmental Protection Agency ozone monitoring data from the entirety of 2016 with published exposure-response relationships from controlled exposure experiments for twenty herbaceous plant species occurring in California.  Dataset includes previously published exposure response functions for the twenty plant species, ozone exposure metrics in AOT40 for each monitor in CA for the selected year, map of the interpolated ozone surface, RMSE of the interpolation, and maps of estimated biomass loss for the herbaceous plant species. \n\nThis dataset is associated with the following publication:\nKaylor, S.D., S.J. Snell Taylor, and J. Herrick. Estimates of biomass reductions of ozone sensitive herbaceous plants in California.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 878: 163134, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531008",
      "keyword": [
        "ecological risk assessment",
        "herbaceous plants",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Steven Kaylor",
        "hasEmail": "mailto:kaylor.doug@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969723017539",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969723017539",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.163134",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543089"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Figure 2: Peak areas of fluorinated features detected with nontargeted analysis of OTM-45 extracts",
      "description": "This dataset contains data from nontargeted analysis of the OTM-45 extracts obtained during the incineration of PFAS containing AFFF. The data was used to create Figure 2 in the associated manuscript. The Figure uses the sums of the peak areas to create a bar graph show relative peak areas of fluorinated features for each of the incineration conditions studied. The peak areas for the features identified as PFAS that are targeted for typical analyses were plotted along with the total areas to show how many of the features fall outside of typical PFAS analyses. \n\nThis dataset is associated with the following publication:\nShields, E., J. Krug, W. Roberson, S. Jackson, M. Smeltz, M. Allen, R.(. Burnette, J. Nash, L. Virtaranta, W. Preston, H. Liberatore, A. Wallace, J. Ryan, P. Kariher, P. Lemieux, and B. Linak. Pilot‐Scale Thermal Destruction of Per‐ and Polyfluoroalkyl Substances in a Legacy Aqueous Film Forming Foam.   ACS ES&T Engineering. American Chemical Society, Washington, DC, USA, 3(9): 1308–1317, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528511",
      "keyword": [
        "nontargeted analysis",
        "per and polyfluoroalkyl substances (PFAS)",
        "AFFF",
        "incineration"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure2-OTM45-NTA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528511/Figure2-OTM45-NTA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-07",
      "references": [
        "https://doi.org/10.1021/acsestengg.3c00098"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Convex Hulls for Species Richness and Individual Species",
      "description": "These are .tiff files, with bands for total distance to the convex hull (Distance), as well as individual distances for the 5 dimensions of pH (pH), precipitation (Precipitation), temperature (Temperature), nitrogen deposition (Nitrogen), and sulfur deposition (Sulfur). Note that for open and closed canopy convex hulls, sulfur was not included in the original analysis (Simkin et al. 2016) and thus are not included in the convex hulls. The units for all distances are in standard deviations (based on Mahalanobis distance). Distances are unitless and based on Mahalanobis distance. This dataset is not publicly accessible because: The files are too big for Science Hub (15.9 GB). It can be accessed through the following means: Email Christopher Clark (clark.christopher@epa.gov) for access to the data. Format: The data are .tif files for convex hulls for richness (2 convex hulls, open and closed canopy communities) and species (198 convex hulls). \n\nThis dataset is associated with the following publication:\nClark, C.M., G.D. Martin, J.N. Phelan, M.D. Bell, and J.A. Lynch. Developing spatially explicit critical loads for herbaceous species across the United States using convex hulls.   ECOLOGICAL APPLICATIONS. Ecological Society of America, Ithaca, NY, USA, 35(2): e70006, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531021",
      "keyword": [
        "biodiversity",
        "NAAQS",
        "convex hulls",
        "critical loads",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-15",
      "references": [
        "https://doi.org/10.1002/eap.70006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531021/documents/Metadata%20for%20Hulls_Final.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figures in Phelan et al. \"Climate change could negate U.S. forest ecosystem service benefits gained through reductions in nitrogen and sulfur deposition\"",
      "description": "This dataset has all the summary tables for the Figures and supplementary information in the Phelan et al. publication. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531022",
      "keyword": [
        "climate change",
        "Nitrogen and Co-pollutants",
        "forest",
        "ecosystem services",
        "nitrogen deposition",
        "biodiversity"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nature.com/articles/s41598-024-60652-z",
          "accessURL": "https://www.nature.com/articles/s41598-024-60652-z",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Phelan_2024_Scientific Reports_Atmos dep and CC effects on forest ecoservices_SI.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531022/Phelan_2024_Scientific%20Reports_Atmos%20dep%20and%20CC%20effects%20on%20forest%20ecoservices_SI.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-01-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Effects of point and nonpoint source controls on total phosphorus load trends across the Chesapeake Bay watershed, USA",
      "description": "These datasets allow users to acquire necessary input data to replication Zhang et al. (2023) and also review the model output results. \n\nThis dataset is associated with the following publication:\nZhang, Q., J. Bostic, and R. Sabo. Effects of point and nonpoint source controls on total phosphorus load trends across the Chesapeake Bay watershed, USA.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 19: 014012, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531010",
      "keyword": [
        "phosphorus",
        "water quality",
        "eutrophication",
        "rivers",
        "Phosphorus and Nitrogen"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://iopscience.iop.org/article/10.1088/1748-9326/ad0d3c",
          "accessURL": "https://iopscience.iop.org/article/10.1088/1748-9326/ad0d3c",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.sciencebase.gov/catalog/item/62bdc7a4d34e82c548cec1e7",
          "accessURL": "https://www.sciencebase.gov/catalog/item/62bdc7a4d34e82c548cec1e7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://cast.chesapeakebay.net/Documentation/ModelDocumentation",
          "accessURL": "https://cast.chesapeakebay.net/Documentation/ModelDocumentation",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-12-01",
      "references": [
        "https://doi.org/10.1088/1748-9326/ad0d3c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urine pH and Risk of Bladder Cancer in Northern New England",
      "description": "Primary data and study file for \"Fischer AH, Wong JY, Baris D, Koutros S, Karagas MR, Schwenn M, Johnson A, Alguacil J, Silverman DT, Rothman N. Urine pH and Risk of Bladder Cancer in Northern New England. Cancer Epidemiol Biomarkers Prev. 2023 Jun 23:EPI-22-0801. doi: 10.1158/1055-9965.EPI-22-0801. Epub ahead of print. PMID: 37351876.\". \n\nThis dataset is associated with the following publication:\nWong, J., A. Fischer, D. Baris, L. Beane-Freeman, M. Karagas, M. Schwenn, A. Johnson, P. Matthews, A. Swank, M. Hosain, S. Koutros, D. Silverman, D. DeMarini, and N. Rothman. Urinary mutagenicity and bladder cancer risk in northern New England.   ENVIRONMENTAL AND MOLECULAR MUTAGENESIS. John Wiley & Sons, Inc, Hoboken, NJ, USA, 65(1-2): 47-54, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529166",
      "keyword": [
        "cancer",
        "urinary",
        "Mutagenicity",
        "bladder"
      ],
      "contactPoint": {
        "fn": "Adam Swank",
        "hasEmail": "mailto:swank.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "Study File 2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529166/Study%20File%202.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Primary Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529166/Primary%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-23",
      "references": [
        "https://doi.org/10.1002/em.22588",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10977345"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "(Non)targeted Chemical Analysis and Risk Assessment of Organic Contaminants in Darkibor Kale Grown at Rural and Urban Farms",
      "description": "PDF - Pesticide mix and quantification, recovery test, photos of cultivated kale, by site, histogram of recovery values, scatter plot of RT versus recovery values, calibration curves for nDATA compounds, initial PCA before outlier removal, RT versus annotated molecular weight, screen plot, contribution of variables (all compounds), contribution of variables (top 40 compounds), limit of detection, limit of quantification, standard deviation of weighted residuals, hazard score, quality score, and completeness score\n\nExcel - List of compounds in the pesticide mix, compound Discoverer workflow, Monte Carlo simulation concentration input, two-day average consumption of kale, points of departure for compounds in Monte Carlo simulation, scores calculation conversion reference table, human health-relevant end points included in this, replicate injections and blind duplicates quality control summary, detected compounds and concentration in kale samples, Level 2 compounds identified using nontargeted chemical analysis, harmonized functions for Level 2 compounds, Monte Carlo simulation results, summary statistics for the Monte Carlo simulation, minimum margins of exposure by compound and life stage, and quality, completeness, and hazard scores for Level 2 compounds. \n\nThis dataset is associated with the following publication:\nBrueck, C., X. Xin, S. Lupolt, B. Kim, R. Santo, Q. Lyu, A. Williams, K. Nachman, and C. Prasse. (Non)targeted Chemical Analysis and Risk Assessment of Organic Contaminants in Darkibor Kale Grown at Rural and Urban Farms.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(8): 3690-3701, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530987",
      "keyword": [
        "Complex Mixtures",
        "pesticides",
        "Exposure Assessment",
        "high-resolution mass spectrometry",
        "QuEChERS"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "es3c09106_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530987/es3c09106_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "es3c09106_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530987/es3c09106_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-01-24",
      "references": [
        "https://doi.org/10.1021/acs.est.3c09106"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds",
      "description": "The following are the Supplementary data to this article:\n\n- Multimedia component 1\n- Multimedia component 2. \n\nThis dataset is associated with the following publication:\nFitch, S., A. Blanchette, L. Haws, K. Franke, C. Ring, M. Devito, M. Wheeler, N. Walker, L. Birnbaum, K. van Ede, E. Antunes Fernandes, and D. Wikoff. Systematic update to the mammalian relative potency estimate database and development of best estimate toxic equivalency factors for dioxin-like compounds.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 147: 105571, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531027",
      "keyword": [
        "bayesian meta-analysis",
        "Dioxin",
        "Relative potency",
        "toxic equivalency factors"
      ],
      "contactPoint": {
        "fn": "Michael Devito",
        "hasEmail": "mailto:devito.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0273230024000126-mmc2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531027/1-s2.0-S0273230024000126-mmc2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0273230024000126-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531027/1-s2.0-S0273230024000126-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-01-17",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2024.105571",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11059105"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VELMA version 2.0.8 model executable file, calibration parameters, data inputs, and model outputs for the KPBS simulations",
      "description": "Supplementary data for McKane et al. \"Estimation of Flint Hills Tallgrass Prairie Productivity and Fuel Loads: A Model-Based Synthesis and Extrapolation of Experimental Data  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530706",
      "keyword": [
        "Flint Hills",
        "air quality",
        "Fuel loads",
        "Konza Prairie",
        "prescribed burning",
        "VELMA",
        "BlueSky"
      ],
      "contactPoint": {
        "fn": "Robert McKane",
        "hasEmail": "mailto:mckane.bob@epa.gov"
      },
      "distribution": [
        {
          "title": "VELMA_Kansas_FlintHillsPaper.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530706/VELMA_Kansas_FlintHillsPaper.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NARS NRSA data",
      "description": "NARS data used in the paper. \n\nThis dataset is associated with the following publication:\nFergus, C., J. Brooks, P. Kaufmann, A. Herlihy, R. Hill, R. Mitchell, and P. Ringold. Disentangling natural and anthropogenic effects on benthic macroinvertebrate assemblages in western US streams.   Ecosphere. ESA Journals,    14(11): e4688, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530989",
      "keyword": [
        "structural equation models",
        "NARS (National Aquatic Resource Survey)",
        "macroinvertebrates",
        "riparian cover",
        "stream biological condition"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-09",
      "references": [
        "https://doi.org/10.1002/ecs2.4688"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Study of Legionella pneumophila treatment with copper in drinking water by single cell-ICP-MS: Metadata entry",
      "description": "The paper introduces a new method for quickly analyzing how copper interacts with waterborne pathogens. The technique uses a single-cell inductively coupled plasma mass spectrometer (ICP-MS) to measure L. hemophilia cell concentration and observe the absorption of copper. Portions of this dataset are inaccessible because: Data is included in the manuscript. They can be accessed through the following means: The manuscript includes a comprehensive presentation of information through well-structured tables and figures. Format: Data include ICP-MS analysis of single particles and single cell analysis. \n\nThis dataset is associated with the following publication:\nXu, L., A. Singler, A. Chernatynskaya, L. Rasmussen, J. Lu, E. Sahle-Demessie, D. Westenberg, H. Yang, and H. Shi. Study of Legionella pneumophila treatment with copper in drinking water by single cell-ICP-MS.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 416(2): 419-430, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531024",
      "keyword": [
        "single-cell-ICP-MS",
        "Legionella pneumophila",
        "Copper"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/37962610/",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/37962610/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-14",
      "references": [
        "https://doi.org/10.1007/s00216-023-05033-7",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11077561"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salivary antibody study in recreational water users in Racine, WI",
      "description": "This data set contains sociodemographic data on households and individuals who  participated in the study, behavioral data (recreational water contacts during the index beach visit and prior to it), and symptoms data from a follow-up survey as well as data on salivary antibody responses to selected waterborne pathogens. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The datasets generated and analyzed during the current study are not publicly available due Personally Identifiable Information (PII) on study participants but are available from the corresponding author on reasonable request. EPA cannot publicly release PII regarding living individuals according to the Privacy Act and the Freedom of Information Act (FOIA). Restricted access may be granted to authorized persons by contacting the party listed. Format: This study was conducted in one town. The study datasets includes personal identifiers of study participants, such as sex, age, and race, as well as behavioral (recreational water contacts) and gastrointestinal symptoms data, and data on antibody responses to waterborne pathogens. Demographic data can be used to identify study participants residing in the specific community. \n\nThis dataset is associated with the following publication:\nEgorov, A., R. Converse, S. Griffin, R. Bonasso, L. Wickersham, E. Klein, J. Kobylanski, R. Ritter, J. Styles, H. Ward, E. Sams, E. Hudgens, A. Dufour, and T. Wade. Recreational water exposure and waterborne infections in a prospective salivary antibody study at a Lake Michigan beach.   Scientific Reports. Nature Publishing Group, London,  UK, 11: 20540, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531040",
      "keyword": [
        "norovirus",
        "surface water",
        "salivary antibody assay",
        "Data Set Analysis",
        "Statistics",
        "health effects"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2021-09-22",
      "references": [
        "https://doi.org/10.1038/s41598-021-00059-2",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519948"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Burn pit smoke condensate-mediated toxicity in human airway epithelial cells",
      "description": "Data include assessment of transepithelial electrical resistance, lactate dehydrogenase, toxicity scores, pro-inflammatory cytokines, and modulation of gene expression in human airway epithelial cells exposed to burn pit smoke condensates. \n\nThis dataset is associated with the following publication:\nGhosh, A., A. Payton, S. Gallant, K. Rogers, T. Mascenik, E. Hickman, C. Love, K. Schichlein, T. Smyth, Y.H. Kim, J. Rager, M. Gilmour, S. Randell, and i. Jspers. Burn pit smoke condensate-mediated toxicity in human airway epithelial cells.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 37(5): 791-803, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531047",
      "keyword": [
        "burn pit",
        "Wildfire smoke",
        "Lung toxicity",
        "airway epithelial cells"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/UNC-CEMALB/Burn-pit-smoke-condensate-mediated-toxicity-in-human-airway-epithelial-cells-/tree/main#4-significant-biomarkers-visualization-figure-6",
          "accessURL": "https://github.com/UNC-CEMALB/Burn-pit-smoke-condensate-mediated-toxicity-in-human-airway-epithelial-cells-/tree/main#4-significant-biomarkers-visualization-figure-6",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-16",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.4c00064"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Renewable Energy Waste Management: Solar Panel Circular Economy-metadata entyr",
      "description": "The rapid proliferation of solar energy adoption presents a substantial environmental challenge concerning end-of-life solar panels. A primary issue involves the presence of hazardous materials like cadmium and lead in these panels [2]. Proper handling and disposal of these toxic materials are imperative to prevent environmental contamination and health risks. Furthermore, inadequate recycling infrastructure in various regions results in a significant portion of panels ending up in landfills, leading to the wastage of valuable materials and environmental harm. To surmount these challenges, the implementation of recycling technologies is crucial. This includes designing panels for easy material recovery and establishing comprehensive regulations and policies that incentivize recycling practices and ensure responsible disposal.\n\nEmbracing a circular economy approach proves beneficial in mitigating the escalating concerns surrounding solar panel waste. This strategy embodies a sustainable and environmentally friendly methodology for the entire life cycle of solar panels. When solar panels reach the end of their operational life, adopting this approach involves their collection and disassembly to retrieve valuable materials like silicon, glass, and metals. These reclaimed materials can then be utilized by manufacturers to produce new panels, thereby diminishing reliance on virgin resources and mitigating the environmental impact associated with mining and production. Figure AA illustrates the schematic diagram of the circular economy approach for managing end-of-life solar panels. By fostering efficient collection and recycling systems, this approach ensures that aging panels are not discarded as waste but rather transformed into valuable sources for new solar panel production. This reduction in the demand for virgin resources contributes to addressing the environmental challenges posed by the industry. This dataset is not publicly accessible because: example it's not owned by the EPA. It can be accessed through the following means: see journal article. Format: PI-update. example data is owned and managed by partners. If website to data source is available change option to data is publicly available and provide link. \n\nThis dataset is associated with the following publication:\nSahle-Demessie, E., and B. Mezgebe. Renewable Energy Waste Management: Solar Panel Circular Economy.   EM:  AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, USA,  08-12, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531081",
      "keyword": [
        "Solar Panel",
        "recycling",
        "circular economy",
        "End-of-life"
      ],
      "contactPoint": {
        "fn": "Endalkac Sahle-Demessie",
        "hasEmail": "mailto:sahle-demessie.endalkachew@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-19",
      "references": [
        "https://www.awma.org/emcurrentissue",
        "https://pasteur.epa.gov/uploads/10.23719/1531081/documents/PV_EoL_Model_03.09.2023.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531081/documents/EoL_PV_Panels_Report.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality and related data for western Long Island Sound",
      "description": "This dataset contains dissolved oxygen, salinity, water temperature and related calculated variables for water quality stations in western Long Island Sound.  Additionally, the data set include water level data from an associated NOAA tide gauge. \n\nThis dataset is associated with the following publication:\nDuvall, M.S., J.D. Hagy III, J.W. Ammerman, and M.A. Tedesco. High-frequency Dissolved Oxygen Dynamics in an Urban Estuary, the Long Island Sound.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 47: 415-430, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529419",
      "keyword": [
        "dissolved oxygen",
        "Long Island Sound",
        "Hypoxia",
        "Continuous Monitoring"
      ],
      "contactPoint": {
        "fn": "James Hagy",
        "hasEmail": "mailto:hagy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_Data__ESCO_D_23_00121.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529419/Figure_Data__ESCO_D_23_00121.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-12",
      "references": [
        "https://doi.org/10.1007/s12237-023-01278-8"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MetSim: Integrated Programmatic Access and Pathway Management for Xenobiotic Metabolism Simulators",
      "description": "With exception of metabolic simulations performed using TIMES (version 2.31.2.82), all work was performed using Python (version 3.10.4) run with IPython (version 8.4.0) in JupyterLab (version 3.3.2). The Toolbox API (OECD Toolbox version 4.5 with Service Pack 1 update, API version 6), and BioTransformer (Wishart Lab, version 3.0, executable Java Archive, June 15, 2022 release) were used for automated metabolic simulations. Efficient batch execution of metabolism simulations was handled via parallel processing multiple individual calls to either BioTransformer or the Toolbox API via the “multiprocess” package. The command line interface (CLI) calls needed to interact with BioTransformer were executed via the “subprocess” package, and the Toolbox API was queried via its Swagger user interface hosted on a locally running Windows Desktop instance of the Toolbox Server. The data generated from the MetSim hierarchical schema were translated into JavaScript Object Notation (JSON) format using Python. The resulting data were inserted into a Mongo Database (MongoDB) using the “pymongo” package for efficient storage and retrieval. The code repository including all Jupyter Notebooks documenting the analysis performed and the MetSim framework are available at https://github.com/patlewig/metsim. Data files needed to reproduce the analysis are provided at https://doi.org/10.23645/epacomptox.25463926 and as Supporting Information. \n\nThis dataset is associated with the following publication:\nGroff, L., A. Williams, I. Shah, and G. Patlewicz. MetSim: Integrated Programmatic Access and Pathway Management for Xenobiotic Metabolism Simulators.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 37(5): 685-697, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531086",
      "keyword": [
        "MetSim",
        "Xenobiotic Metabolism Simulators",
        "Integrated Programmatic Access",
        "Pathway Management"
      ],
      "contactPoint": {
        "fn": "Grace Patlewicz",
        "hasEmail": "mailto:patlewicz.grace@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/patlewig/metsim",
          "accessURL": "https://github.com/patlewig/metsim",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23645/epacomptox.25463926",
          "accessURL": "https://doi.org/10.23645/epacomptox.25463926",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tx3c00398_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531086/tx3c00398_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tx3c00398_si_001.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531086/tx3c00398_si_001.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tx3c00398_si_004.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531086/tx3c00398_si_004.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tx3c00398_si_003.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531086/tx3c00398_si_003.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-22",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.3c00398"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases",
      "description": "Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases. This dataset is not publicly accessible because: Publicly available data, included in the journal article. It can be accessed through the following means: Contact the primary author. Format: Publicly available data, included in the journal article. \n\nThis dataset is associated with the following publication:\nLuo, L., D.S. Cohan, R.B. Gurung, R.T. Venterea, L. Ran, V. Benson, and Y. Yuan. Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 359: 121043, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529543",
      "keyword": [
        "ammonia (NH3)",
        "monetized environmental impacts",
        "agricultural nitrogen emissions",
        "nitrous oxide (N2O)",
        "Nitric Oxide (NO)",
        "nitrification inhibitors"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-17",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.121043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparing lead speciation, bioaccessibility, and sources for contaminated house dust and soils collected from similar United States residences",
      "description": "X-ray absorption spectroscopy raw data files. \n\nThis dataset is associated with the following publication:\nSowers, T., M. Blackmon, R. Wilkin, M. Rovero, S. Bone, M. Jerden, C. Nelson, and K. Bradham. Lead Speciation, Bioaccessibility, and Sources for a Contaminated Subset of House Dust and Soils Collected from Similar United States Residences.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(21): 9339-9349, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529358",
      "keyword": [
        "United States",
        "Paint",
        "soil",
        "lead",
        "health",
        "House dust",
        "spectra",
        "XAS"
      ],
      "contactPoint": {
        "fn": "Tyler Sowers",
        "hasEmail": "mailto:sowers.tyler@epa.gov"
      },
      "distribution": [
        {
          "title": "DustSoilXAS_ms_pairedDust and Soil_data_clearance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529358/DustSoilXAS_ms_pairedDust%20and%20Soil_data_clearance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-28",
      "references": [
        "https://doi.org/10.1021/acs.est.4c01594"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Distribution System Water Quality During a Free Chlorine Conversion (V1)",
      "description": "Water quality data. \n\nThis dataset is associated with the following publication:\nAlexander, M., P. Woodruff, J. Mistry, H. Buse, C. Muhlen, D. Lytle, J. Pressman, and D. Wahman. Evaluation of Distribution System Water Quality During a Free Chlorine Conversion.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(3): e1377, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529433",
      "keyword": [
        "nitrification",
        "drinking water",
        "free chlorine conversion",
        "DBP"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Evaluation of Distribution System Water Quality During a Free Chlorine Conversion (V1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529433/Evaluation%20of%20Distribution%20System%20Water%20Quality%20During%20a%20Free%20Chlorine%20Conversion%20%28V1%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-22",
      "references": [
        "https://doi.org/10.1002/aws2.1377"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Microelectrode Investigation of Iron and Copper Surfaces Aged in Presence of Monochloramine Data Set",
      "description": "Data set for manuscript entitled Microelectrode Investigation of Iron and Copper Surfaces Aged in Presence of Monochloramine. \n\nThis dataset is associated with the following publication:\nGonzalez, B., J. Liggett, D. Lytle, W.H. Lee, S. Harmon, J. Pressman, and D. Wahman. Microelectrode Investigation of Iron and Copper Surfaces Aged in Presence of Monochloramine.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(3): e1375, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529985",
      "keyword": [
        "microelectrode",
        "Ductile Iron",
        "Copper",
        "monochloramine"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Microelectrode_Investigation_of_Iron_and_Copper_Surfaces_Aged in Presence of Monochloramine_V1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529985/Microelectrode_Investigation_of_Iron_and_Copper_Surfaces_Aged%20in%20Presence%20of%20Monochloramine_V1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-10",
      "references": [
        "https://doi.org/10.1002/aws2.1375"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prescribed Fires, Smoke Exposure, and Hospital Utilization Among Heart Failure Patients",
      "description": "This dataset contains data on hospital utilization, prescribed fire occurrence, and wildfire smoke exposure for heart failure patients contained within the EPA CARES resource. This dataset is not publicly accessible because: The dataset is comprised of electronic health records included protected health information such as medical history as well as personally identifiable information such as residential address location. Such information is protected by federal statute including the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and cannot be uploaded into ScienceHub. It can be accessed through the following means: The data can be accessed only after obtaining an approved Institutional Review Board Application covering the data and then accessing the data via secured network drives. Format: The data is tabular data containing information on inpatient and outpatient hospital visits, demographics, residential history, socioeconomic status, dates and locations of prescribed fires, and the estimated wildfire smoke occurrence at the zip code level. \n\nThis dataset is associated with the following publication:\nRaab, H., J. Moyer, S. Afrin, F. Garcia-Menendez, and C. Ward-Caviness. Prescribed Fires, Smoke Exposure, and Hospital Utilization Among Heart Failure Patients.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 22(1): 86, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531031",
      "keyword": [
        "smoke",
        "heart failure",
        "Prescribed Fires",
        "air quality",
        "readmissions"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2023-12-13",
      "references": [
        "https://doi.org/10.1186/s12940-023-01032-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10717133"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Differential transcriptomic alterations in nasal versus lung tissue of acrolein-exposed rats",
      "description": "Frontiers in Toxicology paper, Differential transcriptomic alterations in nasal versus lung tissue of acrolein-exposed rats, 2023 Alewel DI. \n\nThis dataset is associated with the following publication:\nAlewel, D., T. Jackson, K. Rentschler, M. Schladweiler, A. Astriab Fisher, S. Gavett, P. Evansky, and U. Kodavanti. Differential transcriptomic alterations in nasal versus lung tissue of acrolein-exposed rats.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 27(5): 1280230, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531133",
      "keyword": [
        "acrolein",
        "air pollution",
        "Nose",
        "lung",
        "glucocorticoids",
        "cytokines",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Frontiers in Tox_Alewel et al_Sciencehub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531133/Frontiers%20in%20Tox_Alewel%20et%20al_Sciencehub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-21",
      "references": [
        "https://doi.org/10.3389/ftox.2023.1280230",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10712669"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Information for Impact of Water Quality and Operational Factors on Microcystin Removal by PAC",
      "description": "This data set contains supporting information for an article titled: Impact of Water Quality and Operational Factors on Microcystin Removal by Powdered Activated Carbon.  This article was published in AWWA Water Science.\n\nThe article abstract is as follows:\nThe feasibility of using a 26-1 fractional factorial design to screen  the relative importance of six water quality and operational factors in the removal of microcystin-LR (MC-LR) by PAC was evaluated through jar testing.  The factors were: PAC type, PAC dose, TOC concentration, turbidity, alum dose, and timing of PAC versus coagulant application.  Follow-up tests were  performed to examine the interaction of PAC dose and TOC concentrations.  All  MC-LR analyses were performed by ELISA and LC/MS/MS.  The top three effect magnitudes were the same by ELISA and LC/MS/MS:  PAC dose > PAC type > PAC application time.  Correlation coefficients between removals estimated by ELISA and LC/MS/MS were > 0.9 (p << 0.05).  With both methods, the effects of PAC type and dose were found to be markedly larger than the other factors.  The follow-up tests indicated a greater impact of PAC dose at higher NOM concentrations. Factorial designs are not commonly used to plan drinking water jar test experiments.  The results generated in this study were plausible with respect to the existing body of adsorption knowledge, thus helping to demonstrate the feasibility of the factorial approach. \n\nThis dataset is associated with the following publication:\nAlexander, M., T. Waters, M. McNeely, T. Speth, and N. Dugan. Impact of water quality and operational factors on microcystin removal by powdered activated carbon.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(3): 1372, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530985",
      "keyword": [
        "activated carbon",
        "microcystin",
        "drinking water treatment",
        "Nitrogen and Co-pollutants",
        "Harmful Algal Blooms"
      ],
      "contactPoint": {
        "fn": "Nicholas Dugan",
        "hasEmail": "mailto:dugan.nicholas@epa.gov"
      },
      "distribution": [
        {
          "title": "Impact of Water Quality and Operational Factors on Microcystin Removal by PAC Glossary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530985/Impact%20of%20Water%20Quality%20and%20Operational%20Factors%20on%20Microcystin%20Removal%20by%20PAC%20Glossary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Impact of Water Quality and Operational Factors on Microcystin Removal by PAC Science Hub Information.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530985/Impact%20of%20Water%20Quality%20and%20Operational%20Factors%20on%20Microcystin%20Removal%20by%20PAC%20Science%20Hub%20Information.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-15",
      "references": [
        "https://doi.org/10.1002/aws2.1372"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Information for:  Analysis of Microcystins in Alum Water Treatment Sludges:  Holding Times, Temperatures, Linearity of Response, and Sensitivity to Pre-Coagulation Cell Titers",
      "description": "This data set contains supporting information for the article:  Analysis of Microcystins in Alum Water Treatment Sludges:  Holding Times, Temperatures, Linearity of Response, and Sensitivity to Pre-Coagulation Cell Titers.  This article has been published in Environmental Technology.  The spreadsheet contains the information used to generate all tables and graphs in the article.  The glossary document contains definitions of the terms and acronyms found in the spreadsheet. \n\nThis dataset is associated with the following publication:\nWoodruff, P., M. McNeely, T. Sanan, and N. Dugan. Analysis of microcystins in alum water treatment sludges: holding times, temperatures, linearity of response, and sensitivity to pre-coagulation cell titers.   ENVIRONMENTAL TECHNOLOGY. Selper LIMITED, London,  UK,  1-14, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530977",
      "keyword": [
        "microcystin",
        "ELISA",
        "coagulation",
        "Drinking water contaminants",
        "cyanobacteria",
        "drinking water treatment",
        "Nitrogen and Co-pollutants",
        "LC/MS/MS"
      ],
      "contactPoint": {
        "fn": "Nicholas Dugan",
        "hasEmail": "mailto:dugan.nicholas@epa.gov"
      },
      "distribution": [
        {
          "title": "Analysis of Microcystins in Alum Sludges Science Hub Supporting Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530977/Analysis%20of%20Microcystins%20in%20Alum%20Sludges%20Science%20Hub%20Supporting%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Analysis of Microcystins in Alum Sludges Glossary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530977/Analysis%20of%20Microcystins%20in%20Alum%20Sludges%20Glossary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-11",
      "references": [
        "https://doi.org/10.1080/09593330.2024.2349263"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Longitudinal Stream Synoptic (LSS) Monitoring to Evaluate Water Quality in Restored Streams",
      "description": "A suite of water quality data collected from urban streams in and around Baltimore MD and Washington DC. This dataset is not publicly accessible because: Data is owned by University of Maryland. It can be accessed through the following means: through the corresponding author. Format: Excel files. \n\nThis dataset is associated with the following publication:\nMalin, J., S. Kaushal, P. Mayer, C. Maas, S. Hohman, and M. Rippy. Longitudinal Stream Synoptic (LSS) Monitoring to Evaluate Water Quality in Restored Streams.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 196: 437, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530709",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "chemical mixtures",
        "Water monitoring",
        "Urban Watersheds",
        "streams"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-09",
      "references": [
        "https://doi.org/10.1007/s10661-024-12570-w",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11069387"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salt related water quality data for urban rivers",
      "description": "water quality data collected along flow paths from Willamette and Licking Rivers. \n\nThis dataset is associated with the following publication:\nShelton, S., S. Kaushal, P. Mayer, R. Shatkay, M. Rippy, S. Grant, and T. Newcomer Johnson. Salty chemical cocktails as water quality signatures: longitudinal trends and breakpoints along different U.S. streams.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 930: 172777, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530965",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Urban Watersheds",
        "Ion mixtures",
        "streams",
        "Water monitoring"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Shelton 2024 Salty cocktails.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530965/Shelton%202024%20Salty%20cocktails.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.172777"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Stable Isotope data from NARS (NRSA and NLA)",
      "description": "Water stable isotope data measured on water chemistry samples collected as part of the National Aquatic Resource Surveys (NARS).  One file is for the National Rivers and Streams Assessment (NRSA), and contains the data collected in 2008-2009, 2013-2014, and 2018-2019.  A separate file contains NRSA 2023-2024 water isotope data.  Another file is for the National Lakes Assessment (NLA) and contains the water isotope data, as well as evaporation to inflow and water residence time calculated from the water isotope data from samples collected in 2007, 2012, and 2017.  More data about these sites can be obtained from the EPA NARS website:\n https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys. \n\nThis dataset is associated with the following publication:\nPutman, A., P. Longley, M. McDonnell, J. Reddy, M. Katoski, O. Miller, and J. Brooks. Isotopic evaluation of the National Water Model reveals missing agricultural irrigation contributions to streamflow across the western United States.   HYDROLOGY AND EARTH SYSTEM SCIENCES. EGS,    28(13): 2895–2918, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531017",
      "keyword": [
        "NARS (National Aquatic Resource Survey)",
        "national rivers and streams assessment (NRSA)",
        "National Lakes Assessment",
        "water stable isotope"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "NLA22_Water_Isotope_data-ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531017/NLA22_Water_Isotope_data-ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NLA water isotope data-2007-2017.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531017/NLA%20water%20isotope%20data-2007-2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA Water Isotopes 2008-2019.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531017/NRSA%20Water%20Isotopes%202008-2019.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA Water Isotope Data 2023-2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531017/NRSA%20Water%20Isotope%20Data%202023-2024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": [
        "https://doi.org/10.5194/hess-28-2895-2024",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457154"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NaKnowBase_11202020",
      "description": "NaKnowBase 11202020 version submitted with Boyes et al., 2022. \n\nThis dataset is associated with the following publication:\nHarten, P., H. Helgen, W. Melendez, B. Beach, W. Boyes, I. Sotiropoulos, P. Karatzas, H. Sarimveis , and H. Mortensen. Mining, refining, and QSAR analysing the nanoinformatics in EPA NaKnowBase.   Environmental Science: Nano. Royal Society of Chemistry, Cambridge,  UK,  2262-2274, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531019",
      "keyword": [
        "nanomaterials",
        "Technology Development",
        "machine learning",
        "Nanoinformatic"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "accessURL": "https://gaftp.epa.gov/EPADataCommons/ORD/NaKnowBase/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-20",
      "references": [
        "https://doi.org/10.1039/d3en00619k"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of cross-scale measures on neighborhood resilience",
      "description": "Two tables are presented here. One includes the summary of all hazards present across the Pensacola study area at the Census Tract level. The other is a summary of the two BRIC indices. BRIC 1, and the components of this index, represent calculations of the modified BRIC index. BRIC 2, and the components of this index, represent calculation of the BRIC-Dream index. \n\nThis dataset is associated with the following publication:\nBuck, K., R. Dunn, M. Bennett, and J. Bousquin. Influence of cross-scale measures on neighborhood resilience.   Natural Hazards. Springer, Heidelburg,  GERMANY, 119(2): 1011–1040, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530870",
      "keyword": [
        "Community Resilience",
        "composite index",
        "cross-scale analysis"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "Tract_Hazard_Data_All.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530870/Tract_Hazard_Data_All.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tract_BRIC_Data_Both_Indices.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530870/Tract_BRIC_Data_Both_Indices.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-10-13",
      "references": [
        "https://doi.org/10.1007/s11069-022-05493-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530870/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "EMF37 Raw Data USAMXCAN",
      "description": "EMF 37 analyzed scenarios for economy-wide net zero carbon dioxide emissions in North America by midcentury.\nSixteen modeling teams explored technology evolutions, policies, and behavioral assumptions for energy supply and demand.\nResults focus on emissions projections, evolution of energy systems, and economic activity.\nBroad agreement in energy system trends towards deep decarbonization of the power sector, increased end-use electrification of buildings and transportation, and to a lesser extent, industry. \nAll models show a reliance on negative emissions technologies to achieve net zero carbon dioxide emissions.\nThis dataset include model outputs from the participating modeling groups. \n\nThis dataset is associated with the following publication:\nBrowning, M., J. McFarland, J. Bistline, G. Boyd, M. Muratori, M. Binstead , C. Harris, T. Mai, G. Blanford, J. Edmonds, A. Fawcett, P. Kaplanakman, and J. Weyant. Net-zero CO2 by 2050 scenarios for the United States in the Energy Modeling Forum 37 study.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 100104, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530701",
      "keyword": [
        "TIMES",
        "energy",
        "net zero",
        "energy modeling",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "OverviewPaper_raw-data_emf37_usacanmex.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530701/OverviewPaper_raw-data_emf37_usacanmex.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-23",
      "references": [
        "https://doi.org/10.1016/j.egycc.2023.100104",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395320"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Louisiana CRSI Data",
      "description": "Resilience, Justice 40 and Well-B eing Information for Louisiana Parishes in Capital Region Planning Commission. \n\nThis dataset is associated with the following publication:\nSummers, J., R. Sanderson, R. Trahan, K. Hendricks, M. Ruffian, A. Williams, A. Lamper, M. Lowery, and L. Harwell. Development of Community-Level Capacity of Resilience to Natural Hazards for Environmental- and Social-Justice-Challenged Communities: 1. Approach, Concepts, and Assessment of Existing Information.   Sustainability. MDPI, Basel,  SWITZERLAND, 16(3): 963, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530864",
      "keyword": [
        "resilience",
        "well-being",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "HWBI_LAParishes_20221101.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530864/HWBI_LAParishes_20221101.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "EJ_LAParishes_20221031.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530864/EJ_LAParishes_20221031.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "CEJST_LAParishes_20220816.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530864/CEJST_LAParishes_20220816.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "CRSI_LAParishes_20221031.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530864/CRSI_LAParishes_20221031.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-01-05",
      "references": [
        "https://doi.org/10.3390/su16030963",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11094659"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Turkey Creek dataset Feb2024",
      "description": "Nutrients, rainfall, E coli, water quality parameters. \n\nThis dataset is associated with the following publication:\nFriedman, S., E. Cooper, A. Blackwell, M.A. Elliott, M. Weinstein, J. Cara, and Y. Wan. A multi-tiered approach to assess fecal pollution in an urban watershed: Bacterial and viral indicators and sediment microbial communities.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 945: 174141, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530113",
      "keyword": [
        "fecal bacteria",
        "Ambient Water Quality"
      ],
      "contactPoint": {
        "fn": "Stephanie Friedman",
        "hasEmail": "mailto:friedman.stephanie@epa.gov"
      },
      "distribution": [
        {
          "title": "taxonomy.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530113/taxonomy.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "13Mar2024 Turkey_Creek_data file .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530113/13Mar2024%20Turkey_Creek_data%20file%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-09",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.174141"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for figures published in the Impact of particulate nitrate photolysis on air quality over the Northern Hemisphere",
      "description": "Dataset for figures published in Impact of particulate nitrate photolysis on air quality over the Northern Hemisphere. \n\nThis dataset is associated with the following publication:\nSarwar, G., C. Hogrefe, B. Henderson, R. Mathur, R. Gilliam, A. Callaghan, J. Lee, and L. Carpenter. Impact of particulate nitrate photolysis on air quality over the Northern Hemisphere.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 917: N/A, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531134",
      "keyword": [
        "particulate nitrate",
        "photolysis",
        "HONO",
        "NO2",
        "O3"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure12.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/Figure12.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure10.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/Figure10.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_8.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/Figure_8.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_2.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/Figure_2.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_1.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/Figure_1.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531134/README.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.170406",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10922608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Genitourinary Defects and Disinfection Byproducts",
      "description": "Vital Records Data from 1999-2004 from Massachusetts. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Via permission from Massachusetts Birth Registry. Format: Vital Records data. \n\nThis dataset is associated with the following publication:\nKaufman, J., M. Wright, A. Evans, Z. Rivera-Núñez, A. Meyer, D. Reckhow, and M. Narotsky. Risks of obstructive genitourinary birth defects in relation to trihalomethane and haloacetic acid exposures: expanding disinfection byproduct mixtures analyses using relative potency factors.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  #, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531091",
      "keyword": [
        "relative potency factor",
        "Mixtures",
        "Disinfection products",
        "Birth Defects"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-02",
      "references": [
        "https://doi.org/10.1038/s41370-023-00595-1",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10961607"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Relating Fish Populations to Scleractinian Reef Structure",
      "description": "These files contain field data from 3 coral reef surveys, 2 in Puerto Rico and one in Flower Garden Banks. Calculations are made to explore correlations between stony coral physical (size and shape) and biological (diversity and condition) with fish density, biomass and diversity. \n\nThis dataset is associated with the following publication:\nFisher, W. Relating fish populations to coral colony size and complexity.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 148: 110117, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526435",
      "keyword": [
        "fish habitat",
        "topographic complexity",
        "rugosity",
        "stony corals",
        "Coral Reef",
        "coral size"
      ],
      "contactPoint": {
        "fn": "William Fisher",
        "hasEmail": "mailto:fisher.william@epa.gov"
      },
      "distribution": [
        {
          "title": "Coral Structure_PR11_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526435/Coral%20Structure_PR11_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Coral Structure_PR10_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526435/Coral%20Structure_PR10_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Coral Structure_FGB_ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526435/Coral%20Structure_FGB_ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-16",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2023.110117"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526435/documents/Data%20Dictionary%20Fisher.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells ",
      "description": "Dataset for 'Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells' by Sheau-Fung Thai et al., accepted by Materials Express. \n\nFor the data set:\n\nDEG: differentially expressed genes\n33-MWCNT: parent MWCNT\n55-OH-MWCNT: MWCNT modified with -OH group\n66-COOH-MWCNT: MWCNT modified with -COOH group.\nMWCNT_66_30 means cells treated with 66-COOH-MWCNT at 30 microgram/ml. \n\nThis dataset is associated with the following publication:\nThai, S., C. Jones, B. Robinette, H. Ren, B. Vallanat, A. Astriab Fisher, and K. Kitchin. Effects of multi-walled carbon nanotubes on gene and microRNA expression in human hepatocarcinoma HepG2 cells.   Materials Express. American Scientific Publishers, VALENCIA, CA, USA, 14(3): 403-415, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529906",
      "keyword": [
        "Multi-wall carbon nanotubes",
        "HepG2 cells",
        "transcriptomics",
        "signaling pathways",
        "microrna",
        "Target Filter Analysis",
        "oxidative stress",
        "acute phase response signaling",
        "cholesterol biosynthesis pathways"
      ],
      "contactPoint": {
        "fn": "Sheau-Fung Thai",
        "hasEmail": "mailto:thai.sheau-fung@epa.gov"
      },
      "distribution": [
        {
          "title": "MWCNT 66_30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2066_30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 66_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2066_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 55_30-1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2055_30-1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 55_30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2055_30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 55_10-1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2055_10-1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 55_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2055_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 33_10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2033_10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 33_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2033_3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MWCNT 33_1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529906/MWCNT%2033_1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-06",
      "references": [
        "https://doi.org/10.1166/mex.2024.2641"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Fecal Source Characterization of Urban Municipal Storm Sewer System Outfall ‘Wet’ and ‘Dry’ Weather Discharges",
      "description": "Data for Figures 2-5. \n\nThis dataset is associated with the following publication:\nShanks, O., A. Diedrich, M. Sivaganesan, J. Willis, and A. Shrifi. Quantitative fecal source characterization of urban municipal storm sewer system outfall ‘wet’ and ‘dry’ weather discharges.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 259: 121857, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530476",
      "keyword": [
        "stormwater",
        "qPCR",
        "global information system",
        "Fecal Source Identification",
        "Censored data"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Shanks etal 20xx_MS4 MST Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530476/Shanks%20etal%2020xx_MS4%20MST%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-08",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.121857"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements",
      "description": "HF183/BacR287 qPCR standard control material and water sample measurements used to compare Bayesian and Traditional Fecal Score models. \n\nThis dataset is associated with the following publication:\nSivaganesan, M., J. Willis, A. Diedrich, and O. Shanks. A fecal score approximation model for analysis of real-time quantitative PCR fecal source identification measurements.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 255: 121482, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531009",
      "keyword": [
        "Fecal Source Identification",
        "Fecal Score Ratio",
        "Fecal Score",
        "qPCR",
        "Microbial Source Tracking"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Sivaganesan etal 2024_FS Approx Model Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531009/Sivaganesan%20etal%202024_FS%20Approx%20Model%20Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0023-09-29",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.121482"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Deep Learning for Water Quality",
      "description": "Streamflow data (Fig. 1a) from the Global Streamflow Indices and Metadata Archive (GSIM) were compiled from repositories at https://doi.org/10.1594/PANGAEA.887477 and https://doi.org/10.1594/PANGAEA.887470. Water-quality data (Fig. 1b) from the Global River Water Quality Archive (GRQA) were downloaded from https://doi.org/10.5281/zenodo.7056647. \n\nThis dataset is associated with the following publication:\nZhi, W., A. Appling, H. Golden, J. Podgorski, and L. Li. Deep Learning for Water Quality.   Nature Water. Nature Portfolio, Berlin,  GERMANY, 2: 228–241, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530707",
      "keyword": [
        "machine learning",
        "water quality",
        "modeling",
        "Deep learning"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1594/PANGAEA.887477",
          "accessURL": "https://doi.org/10.1594/PANGAEA.887477",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.1594/PANGAEA.887470",
          "accessURL": "https://doi.org/10.1594/PANGAEA.887470",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7056647",
          "accessURL": "https://doi.org/10.5281/zenodo.7056647",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-12",
      "references": [
        "https://doi.org/10.1038/s44221-024-00202-z",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151732"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Database of log kow solubility and toxicity values and QSAR models",
      "description": "The dataset description is within each data spreadsheet included in this record (first tab of each). \n\nThis dataset is associated with the following publication:\nLambert, F., D. Vivian, S. Raimondo, C. Stevens, and M. Barron. Relationships between aquatic toxicity, chemical hydrophobicity, and mode of action: log Kow revisited.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 83(4): 326-338, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519148",
      "keyword": [
        "aquatic toxicity",
        "log Kow",
        "mode of action",
        "narcosis"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "database kow sol tox MOA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519148/database%20kow%20sol%20tox%20MOA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "all ugL umol MOA QSAR models.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519148/all%20ugL%20umol%20MOA%20QSAR%20models.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-01",
      "references": [
        "https://doi.org/10.1007/s00244-022-00944-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Impervious cover change as an indicator of environmental equity",
      "description": "A comma separated values (csv) file of demographic attributes from EPA's EJSCREEN project (https://www.epa.gov/ejscreen) and impervious cover (IC) indicators from the National Land Cover Database (NLCD) (https://mrlc.gov). This dataset is associated with the following publication:\nCuller, M., J. Wickham, M. Nash, and M. Clement. Impervious cover change as an indicator of environmental equity. Remote Sensing Applications: Society and Environment. Elsevier B.V., Amsterdam,  NETHERLANDS, 35: 101247, (2024). NOTE: This dataset has been removed from public access due to revocation. Please refer inquiries regarding this dataset to the listed contact person.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531085",
      "keyword": [
        "land cover change",
        "NLCD",
        "Impervious cover",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-06",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Geographic Variability, Seasonality, and Increase in ASPCA Animal Poison Control Center Harmful Blue-green Algae Calls 2010-2022",
      "description": "USEPA collaborated on a project conducted by scientists at the North Carolina State College of Veterinary Medicine. Scientist used data to summarize: ASPCA Animal Poison Control Center Harmful Blue-green Algae Calls - United States and Canada during 2010 - 2022. This analysis resulted in the report: Geographic Variability, Seasonality, and Increase in ASPCA Animal Poison Control Center Harmful Blue-green Algae Calls - United States and Canada, 2010 - 2022. \nData characteristics include: day of animal poisoning report; state of call origination; and species.\n \nKey words include: blue-green algae; poisoning; animal. \n\nData are owned by the American Society for the Prevention of Cruelty to Animals Poison Control Center. Data are available from Nicole Martin at: Nicole.Martin@aspca.org. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data are owned by the American Society for the Prevention of Cruelty to Animals Poison Control Center. Data are available from Nicole Martin at: Nicole.Martin@aspca.org. Format: Names and addresses. \n\nThis dataset is associated with the following publication:\nBloch, R., E. Hilborn, G. Faulkner, T. Wismer, N. Martin, and S. Rhea. Geographic Variability, Seasonality, and Increase in ASPCA Animal Poison Control Center Harmful Blue-Green Algae Calls—United States and Canada, 2010–2022.   Toxins. MDPI, Basel,  SWITZERLAND, 15(8): 505, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529114",
      "keyword": [
        "Blue-Green Algae",
        "Poisoning",
        "animal."
      ],
      "contactPoint": {
        "fn": "Elizabeth Hilborn",
        "hasEmail": "mailto:hilborn.e@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-01",
      "references": [
        "https://doi.org/10.3390/toxins15080505",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10467101"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Global Ecology Coral reef Dataset (Sully et al. 2019)",
      "description": "The link provides access to a github repository for the Institute for Global Ecology which contains a publicly accessible dataset for variables that characterize the condition of multiple coral reefs throughout the globe.  Further details on the dataset can be found in:\nSully, S., Burkepile, D. E., Donovan, M. K., Hodgson, G., & Van Woesik, R. (2019). A global analysis of coral bleaching over the past two decades. Nature communications, 10(1), 1-5. \n\nThis dataset is associated with the following publication:\nEason, T., and A. Garmestani. Assessing spatiotemporal change in coral reef social-ecological systems.   Ecology and Society. Resilience Alliance Publications, Waterloo,  CANADA, 29(2): 21, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523099",
      "keyword": [
        "coral reef condition",
        "global ecology",
        "bleaching",
        "temperature",
        "multiple stressors"
      ],
      "contactPoint": {
        "fn": "Tarsha Eason",
        "hasEmail": "mailto:eason.tarsha@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/InstituteForGlobalEcology/Coral-bleaching-a-global-analysis-of-the-past-two-decades/blob/master/Reef_Check_with_cortad_variables_with_annual_rate_of_SST_change.csv",
          "accessURL": "https://github.com/InstituteForGlobalEcology/Coral-bleaching-a-global-analysis-of-the-past-two-decades/blob/master/Reef_Check_with_cortad_variables_with_annual_rate_of_SST_change.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-17",
      "references": [
        "https://doi.org/10.5751/es-15116-290221"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distribution of antibiotic resistance in a mixed-use watershed and the impact of wastewater treatment plants on antibiotic resistance in surface water",
      "description": "In this study, the abundance and distribution of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs), as well as the concentrations of antibiotics present in a mixed-use watershed in Athens, GA, USA were examined, in order to enhance understanding of the existing state of AR in the freshwater environment. The current study has shown that antibiotic-related contaminants are prevalent in the freshwater environment, including commensal and pathogenic bacteria that are resistant to antibiotics used for human and veterinary purposes, medically important antibiotics, as well as the genes associated with resistance to these antibiotics. This dataset is not publicly accessible because: Data belong to coauthor at USDA ARS. It can be accessed through the following means: The data presented in this study are available on request from the corresponding author, Jonathan Frye at USDA. Format: Statistical analysis of data from surface water samples, see the journal article's Supplementary Materials for additional information: https://www.mdpi.com/article/10.3390/antibiotics12111586/s1. \n\nThis dataset is associated with the following publication:\nCho, S., L. Hiott, Q. Read, J. Damashek, J. Westrich, M. Edwards, R. Seim, D. Glinski, J. Bateman McDonald, E. Ottesen, E. Lipp, M. Henderson, C. Jackson, and J. Frye. Distribution of Antibiotic Resistance in a Mixed-Use Watershed and the Impact of Wastewater Treatment Plants on Antibiotic Resistance in Surface Water.   The Journal of Antibiotics. Springer Nature, New York, NY, USA, 12(11): 1586, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530986",
      "keyword": [
        "wastewater",
        "Antibiotic resistance gene",
        "Freshwater",
        "antibiotic-resistant bacteria",
        "Antibiotic",
        "Environment"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-25",
      "references": [
        "https://doi.org/10.3390/antibiotics12111586",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668835"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dermal Swabs for Biomarker Profiling",
      "description": "Salamander liver and swab data, processed chromatograph data, and code used for figure generation are available from a GitHub repository at: https://github.com/amphibian-exeff/vanmeter_salamander_exposures/. Data, associated metadata, and calculation tools are also available from the corresponding author (rvanmeter2@washcoll.edu). \n\nThis dataset is associated with the following publication:\nVan Meter, R., D. Glinski, J. Wanat, S. Purucker, and M. Henderson. Validation of Salamander Dermal Mucus Swabs as a Novel, Nonlethal Approach for Amphibian Metabolomics and Glutathione Analysis Following Pesticide Exposure.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(5): 1126-1137, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529745",
      "keyword": [
        "biomarkers",
        "salamander",
        "pesticides",
        "dermal swab",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/amphibian-exeff/vanmeter_salamander_exposures/",
          "accessURL": "https://github.com/amphibian-exeff/vanmeter_salamander_exposures/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-26",
      "references": [
        "https://doi.org/10.1002/etc.5848"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Data for Potential hazards of PAHs in Great Lakes tributaries using water column and porewater passive samplers and sediment equilibrium partitioning",
      "description": "Data associated with Supplementary Figures S5-S9 from Potential hazards of PAHs in Great Lakes tributaries using water column and porewater passive samplers and sediment equilibrium partitioning\n \nAustin K. Baldwin,a Steven R. Corsi,b David A. Alvarez,c Daniel L. Villeneuve,d Gerald T. Ankley,d Brett R. Blackwell,d Marc A. Mills,e Peter L. Lenaker,b Michelle A. Nottb \n \na U.S. Geological Survey, Boise, Idaho, USA  \nb U.S. Geological Survey, Middleton, Wisconsin, USA \nc U.S. Geological Survey, Columbia, Missouri, USA\nd U.S. Environmental Protection Agency, Duluth, Minnesota, USA \ne U.S. Environmental Protection Agency, Cincinnati, Ohio, USA. \n\nThis dataset is associated with the following publication:\nBaldwin, A., S. Corsi, D. Alvarez, D. Villeneuve, G. Ankley, B. Blackwell, M. Mills, P. Lenaker, and M. Nott. Potential Hazards of Polycyclic Aromatic Hydrocarbons in Great Lakes Tributaries Using Water Column and Porewater Passive Samplers and Sediment Equilibrium Partitioning.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(7): 1509-1523, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529158",
      "keyword": [
        "sediments",
        "PAHs",
        "bioavailability",
        "Great Lakes Restoration Initiative"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Baldwin et al PAH_PEDS EPA data for ScienceHub_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529158/Baldwin%20et%20al%20PAH_PEDS%20EPA%20data%20for%20ScienceHub_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-26",
      "references": [
        "https://doi.org/10.1002/etc.5896"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SHEDS-Pb, 2017 Code with Sensitivity Analyses",
      "description": "Output files for SHEDS-Pb 2022 analysis (2017 SHEDS-IEUBK scenario files and files for the updated sensitivity analyses). \n\nThis dataset is associated with the following publication:\nZartarian, V., J. Xue, E. Gibb-Snyder, J. Frank, R. Tornero-Velez, and L. Stanek. Children's lead exposure in the U.S.: Application of a national-scale, probabilistic aggregate model with a focus on residential soil and dust lead (Pb) scenarios.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 905: 167132, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529100",
      "keyword": [
        "modeling",
        "soil",
        "Dust",
        "lead",
        "Children's Environmental Health",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Valerie Zartarian Morrison",
        "hasEmail": "mailto:zartarian.valerie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://gaftp.epa.gov/CPHEA/SHEDS%20Pb/",
          "accessURL": "https://gaftp.epa.gov/CPHEA/SHEDS%20Pb/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167132"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Water Treatments on Surfaces to Inhibit Bacterial Spore Resuspension_A-v9sz",
      "description": "Excel dataset including reduced data for Evaluation of Water Treatments on Surfaces to Inhibit Bacterial Spore Resuspension manuscript. \n\nThis dataset is associated with the following publication:\nHook, D.A., J. Gilberry, C. Johnson, R. Yaga, and J. Archer. Evaluation of Water Treatments on Surfaces to Inhibit Bacterial Spore Resuspension.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 34(3): e21779, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:060"
      ],
      "identifier": "https://doi.org/10.23719/1504296",
      "keyword": [
        "Bacillus anthracis",
        "resuspension",
        "water treatment",
        "spore",
        "Decontamination",
        "Indoor outdoor decontamination",
        "biological",
        "containment/mitigation"
      ],
      "contactPoint": {
        "fn": "John Archer",
        "hasEmail": "mailto:archer.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Evaluation of Water Treatments on Surfaces to Inhibit Bacterial Spore Resuspension_A-v9sz.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1504296/Evaluation%20of%20Water%20Treatments%20on%20Surfaces%20to%20Inhibit%20Bacterial%20Spore%20Resuspension_A-v9sz.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-10",
      "references": [
        "https://doi.org/10.1002/rem.21779"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PRASA 301(h) WWTP databases",
      "description": "These data were used to investigate  long-term effects of advanced primary treated effluent discharge on coral reefs adjacent to Puerto Rico Aqueducts and Sewer Authority (PRASA) WWTPs outfalls on the north and northwest coasts of Puerto Rico. Our data were derived from secondary data sources of datasets for biological and water quality metrics collected from the PRASA monitoring program and to identify potential changes in coral reef condition from 1999 – 2018.  our database includes 1) biological endpoints consisting of percent coverage of biological and abiotic endpoints along transects near each WWTP, 2) water quality and physical data for metrics typically associated with point source WWTP effluent (e.g., coliform bacteria, ammonia, temperature, salinity, dissolved oxygen, etc.), and 3) contaminants data representing a suite of standard chemical analytes that may arise from potential point and non-point sources (e.g., pesticides, heavy metals, herbicides, etc.). \n\nThis dataset is associated with the following publication:\nSantavy, D., C. Horstmann, E. Huertas, I. Wojtenko, and S. Raimondo. Derivation of biocriteria to protect coral reefs in Puerto Rico using a biological condition gradient framework and 301(h) water quality and coral monitoring data (PR-CRBGC), Phase 2. U.S. Environmental Protection Agency, Washington, DC, USA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520432",
      "keyword": [
        "PRASA",
        "Puerto Rico",
        "Wastewater Treatment effects",
        "Coral Reef Communities"
      ],
      "contactPoint": {
        "fn": "Deborah Santavy",
        "hasEmail": "mailto:santavy.debbie@epa.gov"
      },
      "distribution": [
        {
          "title": "PRASA project data final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520432/PRASA%20project%20data%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FTIR QA and Emission Data Example ",
      "description": "Processed FTIR spectral data that demonstrates performance of quality assurance procedures used for data validation.  This data is presented in \"QA Summary of Surrogate Injections\" Excel spreadsheet and contains data dictionary of parameters measured.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531087",
      "keyword": [
        "Air monitoring",
        "Combustion Source",
        "FTIR",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "William Roberson",
        "hasEmail": "mailto:roberson.william@epa.gov"
      },
      "distribution": [
        {
          "title": "QA Summary of Surrogate Injections.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531087/QA%20Summary%20of%20Surrogate%20Injections.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioenergy Scenario Model (BSM) data from Miller et al",
      "description": "This dataset shows all the scenario outputs from the Bioemergy Scenarion Model (BSM) in estimating the effect of various factors on the production od soybean biodiesel and renewable diesel in the U.S. from 2002-2020 (Miller et al., 2024, Energy Policy).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531137",
      "keyword": [
        "RFS Program",
        "biodiesel",
        "biofuels",
        "soybean"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "BSM Data_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531137/BSM%20Data_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Incorporating weather in counts and trends of migrating Common Nighthawks",
      "description": "Guide to how to access NRRI data with an email request to the author. This dataset is not publicly accessible because: The data are private, but available on request. It can be accessed through the following means: Email request to Stephen Kolbe - kolbe023@d.umn.edu. Format: Novel data collected by the lead author, which are kept and curated by National Resources Research Institute (NRRI). \n\nThis dataset is associated with the following publication:\nKolbe, S., G. Niemi, A. Bracey, M. Etterson, and A. Grinde. Incorporating weather in counts and trends of migrating Common Nighthawks.   Avian Conservation and Ecology. Society of Canadian Ornithologists and Bird Studies Canada,   CANADA, 19(1): 9, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530976",
      "keyword": [
        "Aerial insectivore",
        "migration",
        "monitoring",
        "population trends",
        "Weather"
      ],
      "contactPoint": {
        "fn": "Matthew Etterson",
        "hasEmail": "mailto:etterson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-01",
      "references": [
        "https://doi.org/10.5751/ace-02621-190109"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cross-species molecular docking method to support predictions of species susceptibility to chemical effects",
      "description": "The advancement of protein structural prediction tools, exemplified by AlphaFold and Iterative Threading ASSEmbly Refinement, has enabled the prediction of protein structures across species based on available protein sequence and structural data. In this study, we introduce an innovative molecular docking method that capitalizes on this wealth of structural data to enhance predictions of chemical susceptibility across species. We demonstrated this method using the androgen receptor as a pertinent modulator of endocrine function. By using protein structures, this method contextualizes species susceptibility within a functional framework and helps to integrate molecular docking into the repertoire of New Approach Methodologies (NAMs) that support the Next-Generation Risk Assessment (NGRA) paradigm through the novel integration of various open-source tools. \n\nThis dataset is associated with the following publication:\nSchumann, P., D. Chang, S. Mayasich, S. Vliet, T. Brown, and C. LaLone. Cross-species molecular docking method to support predictions of species susceptibility to chemical effects.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 30(4): 100319, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531089",
      "keyword": [
        "Androgen receptor",
        "Species Extrapolation",
        "SeqAPASS",
        "endocrine",
        "Next Generation Risk Assessment",
        "bioinformatics",
        "New Approach Methods",
        "case studies",
        "regulation",
        "molecular modelling",
        "Molecular Docking"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/pschumann4/cross_species_docking.git",
          "accessURL": "https://github.com/pschumann4/cross_species_docking.git",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S2468111324000215-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531089/1-s2.0-S2468111324000215-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S2468111324000215-mmc3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531089/1-s2.0-S2468111324000215-mmc3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S2468111324000215-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531089/1-s2.0-S2468111324000215-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-26",
      "references": [
        "https://doi.org/10.1016/j.comtox.2024.100319"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supply Chain Greenhouse Gas Emission Factors v1.3 by NAICS-6",
      "description": "The datasets comprise greenhouse gas (GHG) emission factors (Factors) for 1,016 U.S. commodities as defined by the 2017 version of the North American Industry Classification System (NAICS). The Factors are based on GHG data for 2022. Factors are given for all NAICS-defined commodities at the 6-digit level except for electricity, government, and households. Each record consists of three factor types as in the previous releases: Supply Chain Emissions without Margins (SEF), Margins of Supply Chain Emissions (MEF), and Supply Chain Emissions with Margins (SEF+MEF). One set of Factors provides kg carbon dioxide equivalents (CO2e) per 2022 U.S. dollar (USD) for all GHGs combined using 100-yr global warming potentials from IPCC 5th report (AR5) to calculate the equivalents. In this dataset there is one SEF, MEF and SEF+MEF per commodity. The other dataset of Factors provides kg of each unique GHG emitted per 2022 dollar per commodity without the CO2e calculation. The dollar in the denominator of all factors uses purchaser prices. See the supporting file 'Aboutv1.3SupplyChainGHGEmissionFactors.docx' for complete documentation of this dataset. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531143",
      "keyword": [
        "climate change",
        "USEEIO",
        "scope 3",
        "industry ghgs",
        "GHG reporting"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplyChainGHGEmissionFactors_v1.3.0_NAICS_CO2e_USD2022.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531143/SupplyChainGHGEmissionFactors_v1.3.0_NAICS_CO2e_USD2022.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SupplyChainGHGEmissionFactors_v1.3.0_NAICS_byGHG_USD2022.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531143/SupplyChainGHGEmissionFactors_v1.3.0_NAICS_byGHG_USD2022.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-05",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1531143/documents/RelativeChangefromv1.2tov1.3.0inSEFsinCO2e.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531143/documents/RelativeChangefromv1.2tov1.3.0inSEFsbyGHG.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531143/documents/Aboutv1.3SupplyChainGHGEmissionFactors.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/supply-chain-factors/blob/5df4328f9b06e69f7b6d21af0baf391de669974e/format-specs/README.md"
      },
      "accessRights": "public"
    },
    {
      "title": "2012-2022 National-Level Greenhouse Gas Emission Totals by Industry",
      "description": "These data are an update to 2012-2020 Greenhouse Gas National- and State-Level Emission Totals by Industry (https://doi.org/10.23719/1529805). Data for 2021 and 2022 are added. The primary emissions source was updated to use the U.S. GHG Inventory 2024 report.  The industry classifications were updated to use 2017 North American Industry Classification Codes. Totals by industry and state are not included. The code used to generate the datasets is available in the FLOWSA v2.0.3 tool (https://github.com/USEPA/flowsa/tree/v2.0.3). Values are given in total kilograms emitted for the given year, sector and location. Please see the related publication for more background information. \n\nThis dataset is associated with the following publication:\nYoung, B., C. Birney, and W.W. Ingwersen. Dataset of 2012-2020 U.S. National- and State-Level Greenhouse Gas Emissions by Sector.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 53: 110173, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531141",
      "keyword": [
        "GHGs",
        "FLOWSA",
        "sector attribution model",
        "greenhouse gas emissions",
        "environmental-economic accounts",
        "national totals by industry",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "GHGs_by_Detailed_Sector_US_2012-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531141/GHGs_by_Detailed_Sector_US_2012-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GHGs_by_Aggregate_Sector_US_2012-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531141/GHGs_by_Aggregate_Sector_US_2012-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-05",
      "references": [
        "https://doi.org/10.1016/j.dib.2024.110173",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10885542",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2012_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2013_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2014_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2015_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2016_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2017_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2018_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2019_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2020_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2021_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2021_m2_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2022_m1_v2.0.3_1cb504c.parquet",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_national_2022_m2_v2.0.3_1cb504c.parquet",
        "https://doi.org/10.23719/1529805",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2012_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2012_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2013_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2014_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2015_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2013_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2014_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2016_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2015_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2016_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2017_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2017_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2018_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2018_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2019_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2019_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2020_2024rel_flow_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/GHG_2020_2024rel_sector_comparison.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531141/documents/release_notes_2024.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data dictionary for CATHGEN study",
      "description": "These data contain health and demographic information from cardiac catheterization patients at Duke University, as well as estimated PM2.5 exposure from Harvard University and data from the US Census Bureau. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: These data can be requested from the CATHGEN steering committee at Duke University. Format: Data are stored as SAS files on secured EPA drives. \n\nThis dataset is associated with the following publications:\nWeaver, A., L. McGuinn, L. Neas, R. Devlin, R. Dhingra, C. Ward-Caviness, W. Cascio, W. Kraus, E. Hauser, and D. Diaz-Sanchez. Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients.   American Heart Journal. Mosby Year Book Incorporated, Orlando, FL, USA, 243: 201-209, (2022).\nSlawsky, E., A. Weaver, C. Ward-Caviness, L. Neas, R. Devlin, W. Cascio, A. Russell, R. Huang, W. Kraus, E. Hauser, and D. Diaz-Sanchez. Evaluation of PM2.5 Air Pollution Sources and Cardiovascular Health.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 2020: 1, (2020).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1518715",
      "keyword": [
        "socioeconomic status",
        "American Indian",
        "cardiovascular disease",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2020-05-26",
      "references": [
        "https://doi.org/10.1016/j.ahj.2021.09.013",
        "https://doi.org/10.1289/isee.2020.virtual.p-0895",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633144"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "EnviroAtlas Potential Wetland Areas CONUS 2024",
      "description": "Wetland habitats provide critical ecosystem services to the surrounding landscape, including nutrient and pollutant retention, flood mitigation, and carbon storage. This EnviroAtlas dataset uses data about existing wetlands to predict areas across the conterminous United States with landscape characteristics that are likely to support wetland habitats, or potential wetland area (PWA). These data along with data on existing wetland locations can be useful for identifying sites for restoration or construction of wetlands. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531228",
      "keyword": [
        "ecosystem services",
        "restoration",
        "wetlands",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Jeremy Baynes",
        "hasEmail": "mailto:baynes.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://enviroatlas.epa.gov/download/EnviroAtlas_Potential_Wetland_Areas_CONUS_2024.zip",
          "accessURL": "https://enviroatlas.epa.gov/download/EnviroAtlas_Potential_Wetland_Areas_CONUS_2024.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EnviroAtlas_Potential_Wetland_Areas_CONUS_2024_Normalized Variable Importance.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531228/EnviroAtlas_Potential_Wetland_Areas_CONUS_2024_Normalized%20Variable%20Importance.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimates of lake nitrogen, phosphorus, and chlorophyll-a concentrations to characterize harmful algal bloom risk across the United States",
      "description": "The objective of this research was to predict nutrient, chlorophyll-a, and associated harmful algal bloom, hypoxia, and eutrophication effects in US lakes. This research used nutrient and chlorophyll-a concentration data from the National Lakes Assessment (NLA), soil, landcover, and landscape characteristic data from LakeCat, landscape nutrient data from the National Nutrient Inventory (NNI), nutrient deposition data from the National Atmospheric Deposition Program (NADP), climate data from PRISM, landscape ecosystem data from the Earth Observatory Network (EON), and lake depth data from LAGOS and the National Hydrography Dataset (NHD). Prediction data of total nitrogen, total phosphorus, and chlorophyll-a concentrations were summarized at the catchment and lake watershed scales.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529835",
      "keyword": [
        "water quality",
        "harmful algal bloom",
        "drinking water",
        "chlorophyll",
        "Nitrogen and Co-pollutants",
        "phosphorus",
        "nitrogen",
        "lakes",
        "Agriculture",
        "Phosphorus and Nitrogen"
      ],
      "contactPoint": {
        "fn": "Meredith Brehob",
        "hasEmail": "mailto:brehob.meredith@epa.gov"
      },
      "distribution": [
        {
          "title": "RF_Inputs_Normalized.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529835/RF_Inputs_Normalized.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Metadata_Brehob_ChlaRF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529835/Metadata_Brehob_ChlaRF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_Dictionary_Brehob_ChlaRF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529835/Data_Dictionary_Brehob_ChlaRF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CatchmentPredictions.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529835/CatchmentPredictions.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WatershedPredictions.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529835/WatershedPredictions.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from Wang et al_BEPAM assessment of soy induced land use change",
      "description": "This is the data frrom Wang et al. (https://doi.org/10.1088/2515-7620/acd1d7) which used the BEPAM model to estimate changes in land use from soybean biodiesel in the U.S. \n\nThis dataset is associated with the following publication:\nWang, W., and M. Khanna. Land use effects of biofuel production in the US.   Environmental Research Communications. IOP Publishing, PHILADELPHIA, PA, USA, 5: 055007, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531082",
      "keyword": [
        "biofuels",
        "biodiesel",
        "climate change",
        "Conservation Reserve Program",
        "soybean"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_biodiesel_paper_results 6 10 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531082/EPA_biodiesel_paper_results%206%2010%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-10",
      "references": [
        "https://doi.org/10.1088/2515-7620/acd1d7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 decay",
      "description": "Decay rates of infectious SARS-CoV-2 and viral RNA. \n\nThis dataset is associated with the following publication:\nKorajkic, A., B. McMinn, A. Pemberton, J. Kelleher, and W. Ahmed. The comparison of decay rates of infectious SARS-CoV-2 and viral RNA in environmental waters and wastewater.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 946(10 October 2024): 174379, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529440",
      "keyword": [
        "viral RNA",
        "wastewater",
        "SARS-CoV-2",
        "temperature",
        "decay",
        "infectious",
        "Ambient Water"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "SARS-CoV-2 decay.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529440/SARS-CoV-2%20decay.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.174379"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action",
      "description": "Data for \"Flynn, K., Le, M., Hazemi, M. et al. Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action. Arch Environ Contam Toxicol 86, 346–362 (2024). https://doi.org/10.1007/s00244-024-01064-y\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: All sequence data reported in this manuscript are accessible via the Gene Expression Omnibus (BioProject PRJNA104613). Format: N/A. \n\nThis dataset is associated with the following publication:\nFlynn, K., M. Le, M. Hazemi, A. Biales, D. Bencic, B. Blackwell, K. Bush, R. Flick, J. Hoang, J. Martinson, M. Morshead, K. Santana Rodriguez, E. Stacy, and D. Villeneuve. Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 86(4): 346-362, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531142",
      "keyword": [
        "transcriptomics",
        "points of departure",
        "New Approach Methods (Alternatives to Animal Testing)",
        "aquatic toxicology"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "244_2024_1064_MOESM1_ESM.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531142/244_2024_1064_MOESM1_ESM.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-04",
      "references": [
        "https://doi.org/10.1007/s00244-024-01064-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combining Nontargeted Analysis with Computer-Based Hazard Comparison Approaches to Support Prioritization of Unregulated Organic Contaminants in Biosolids",
      "description": "Dataset for \"Matthew N. Newmeyer, Qinfan Lyu, Jon R. Sobus, Antony J. Williams, Keeve E. Nachman, and Carsten Prasse. Environmental Science & Technology 2024 58 (27), 12135-12146, DOI: 10.1021/acs.est.4c02934\". \n\nThis dataset is associated with the following publication:\nNewmeyer, M., Q. Lyu, J. Sobus, A. Williams, K. Nachman, and C. Prasse. Combining Nontargeted Analysis with Computer-Based Hazard Comparison Approaches to Support Prioritization of Unregulated Organic Contaminants in Biosolids.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(27): 12135-12146, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531462",
      "keyword": [
        "environmental pollution",
        "Extraction",
        "Impurities",
        "pharmaceuticals",
        "toxicity"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "es4c02934_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531462/es4c02934_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "es4c02934_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531462/es4c02934_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-04",
      "references": [
        "https://doi.org/10.1021/acs.est.4c02934"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure data for Urinary MicroRNA Biomarkers of Nephrotoxicity in Macaca fascicularis",
      "description": "For this study, EPA analyzed the miRNA PCR data that were used for Figures 4 and 5 of the data. The raw PCR data itself, which were not generated by EPA, are included as zipped RDML files. These data include amplification data for all miRNA targets and samples measured. Version 2 of these datasets have been updated to include new analyses (Mann Whitney U Test to include a non-parametric stat in response to reviews).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529904",
      "keyword": [
        "biomarkers",
        "urine",
        "kidney toxicity",
        "microrna"
      ],
      "contactPoint": {
        "fn": "Brian Chorley",
        "hasEmail": "mailto:chorley.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Fig5 input RDMLs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529904/Fig5%20input%20RDMLs.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4 input RDMLs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529904/Fig4%20input%20RDMLs.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig5 data v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529904/Fig5%20data%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig4 data v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529904/Fig4%20data%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Ambient air sampling for collection and quantification of viable Bacillus anthracis simulant spores during a large outdoor decontamination field exercise",
      "description": "The data include the Dry Filter Unit flow rate data and the microbiological data in terms of colony forming units collected on the DFU filters.  The data are for each DFU, for each day of sampling. \n\nThis dataset is associated with the following publication:\nWood, J., E. Silvestri-Niemer, M. Pirhalla, S. Serre, M.W. Calfee, K. McConkey, T. Boe, M. Monge, D. Aslett, and A. Abdel-Hady. Fate and transport of viable Bacillus anthracis simulant spores in ambient air during a large outdoor decontamination field exercise.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 74(7): 464-477, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529833",
      "keyword": [
        "Decontamination",
        "dry filter units",
        "Bacillus anthracis",
        "anthrax spores",
        "air sampling",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "Master DFU sample results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529833/Master%20DFU%20sample%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DFU sample form Data 6.2.22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529833/DFU%20sample%20form%20Data%206.2.22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "data dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529833/data%20dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-07",
      "references": [
        "https://doi.org/10.1080/10962247.2024.2359122"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"The Effect of Sewage Source on HF183 Risk-Based Threshold Estimation for Recreational Water Quality Management\"",
      "description": "This is the metadata for the publication; please contact the corresponding author (Kyle Curtis - kcurtis@hrsd) to request data files. This dataset is not publicly accessible because: Externally-owned. It can be accessed through the following means: Contact the corresponding author of manuscript (Kyle Curtis - kcurtis@hrsd.com). Format: Excel spreadsheets and/or CSV files. \n\nThis dataset is associated with the following publication:\nCurtis, K., M. Jahne, D. Keeling, and R. Gonzalez. The Effect of Sewage Source on HF183 Risk-Based Threshold Estimation for Recreational Water Quality Management.   Microbial Risk Analysis. Elsevier B.V., Amsterdam,  NETHERLANDS, 27-28: e100315, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529807",
      "keyword": [
        "recreational water",
        "wastewater",
        "hf183",
        "Microbial Source Tracking"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2023-10-16",
      "references": [
        "https://doi.org/10.1016/j.mran.2024.100315"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Rivers and Streams Assessment (NRSA) and StreamCat",
      "description": "NRSA siteinfo, water chemistry, and physical habitat datasets from 2008-9, 2013-14, and 2018-19, StreamCat for wetland variables for each site. \n\nThis dataset is associated with the following publication:\nFlotemersch, J., K. Blocksom, A. Herlihy, P. Kaufmann, R. Mitchell, and D. Peck. Distribution and Characteristics of Blackwater Rivers and Streams of the Contiguous United States.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 60(2): e2023WR035529, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528583",
      "keyword": [
        "humic acid",
        "National Aquatic Resource Surveys (NARS)",
        "swamp water",
        "Lignite",
        "national rivers and streams assessment (NRSA)",
        "fulvic acid",
        "flatwoods",
        "brownwater"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-02-13",
      "references": [
        "https://doi.org/10.1029/2023wr035529"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pervasive environmental chemicals impair oligodendrocyte development",
      "description": "Data for EPA collaboration with Case Western Reserve Univ, Erin Cohn, et al. 'Pervasive environmental chemicals impair oligodendrocyte development', DOI https://doi.org/10.1038/s41593-024-01599-2. \nPrimary screening results are available in Supplementary Table 1 and will be included in a future public release of the EPA ToxCast database. RNA-seq datasets generated in this study have been deposited in Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo) under accession code GSE244500. \n\nThis dataset is associated with the following publication:\nCohn, E., B. Clayton, M. Madhavan, K. Lee, S. Yacoub, Y. Fedorov  , M. Scavuzzo, K. Paul-Friedman, T. Shafer, and P. Tesar. Pervasive environmental chemicals impair oligodendrocyte development.   Nature Neuroscience. Nature Portfolio, Berlin,  GERMANY, 27(5): 836-845, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530984",
      "keyword": [
        "neurotoxicity",
        "screening",
        "oligodendrocytes",
        "cytotoxicity"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE244500",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE244500",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary Table 3- Gene set enrichment analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530984/Supplementary%20Table%203-%20Gene%20set%20enrichment%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary Table 2- ToxPrint enrichment analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530984/Supplementary%20Table%202-%20ToxPrint%20enrichment%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary Table 1- Primary screening results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530984/Supplementary%20Table%201-%20Primary%20screening%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-01-23",
      "references": [
        "https://doi.org/10.1038/s41593-024-01599-2",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11088982"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata entry for ORD-058109, Diver-Operated Ski ",
      "description": "Data consist of Excel spreadsheets recording parameters, results, and analyses of diver transects using the Diver-Operated Ski. This dataset is not publicly accessible because: Data are owned by the University of Rhode Island. It can be accessed through the following means: Contact Carol Thornber from the University of Rhode Island at thornber@uri.edu. Format: Data are in excel spreadsheets, \n\nThis dataset is associated with the following publication:\nThornber, C.S., G. Cicchetti, L. Green-Gavrielidis, N.S. Hobbs, G. Pantoni, and D.L. Taylor. Development and use of a novel diver-operated ski for surveying nearshore rocky reef habitats.   Limnology and Oceanography: Methods. American Society of Limnology and Oceanography, Lawrence, KS, USA, 22(7): 495-506, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529960",
      "keyword": [
        "Methods development",
        "biodiversity",
        "ecology",
        "imaging"
      ],
      "contactPoint": {
        "fn": "Giancarlo Cicchetti",
        "hasEmail": "mailto:cicchetti.giancarlo@epa.gov"
      },
      "distribution": [],
      "modified": "2023-12-26",
      "references": [
        "https://doi.org/10.1002/lom3.10617"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of the diphenyl herbicide, oxyfluorfen, on thyroid hormones in the juvenile rat following 4- and 8-day exposure..",
      "description": "Data on hormone and chemical analysis is included for the effects of oxyfluorfen on thyroid hormones in the 4- and 8-day exposed juvenile rats. \n\nThis dataset is associated with the following publication:\nStoker, T., G. DeVane, A. Buckalew, J. Bailey, J. Ford, and A. Murr. Evaluation of the diphenyl herbicide, Oxyfluorfen, for effects on thyroid hormones in the juvenile rat..   Current Research in Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100146, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531662",
      "keyword": [
        "Adverse Outcome Pathways (AOPs)",
        "children's health",
        "human health",
        "chemicals"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "DataOxyPaperFigures7.25.24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531662/DataOxyPaperFigures7.25.24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-28",
      "references": [
        "https://doi.org/10.1016/j.crtox.2023.100146",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10787258"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Targeted Fetal Rat Testis Genomic and Endocrine Alterations to Predict the Effects of a Phthalate Mixture on the Male Reproductive Tract.",
      "description": "METADATA\t\t\t\t\n\t\t\t\t\nOUTLINE\t\t\t\t\n\t\t\t\t\nSHEET 1\t\t\tSTUDY INFORMATION\t\n\t\t\t\t\nSHEET 2\t\t\tRANDOM ASSISNMENT OF PREGNANT RATS TO TREATMENT GROUPS\t\n\t\t\t\t\nSHEER 3\t\t\tMATERNAL WEIGHT AND WEIGHT GAIN DURING DOSING and fetal DATA\t\n\t\t\t\tRAW DATA\n\t\t\t\tRESULTS\n\t\t\t\tPREDICTIONS OF DOSE ADDITIVITY\n\t\t\t\t\nSHEET 4\t\t\tTESTOSTERONE (T PROD) DATA\t\n\t\t\t\tRAW DATA\n\t\t\t\tSAS INPUT FILES\n\t\t\t\tTREATMENT EFFECTS\n\t\t\t\t\nSHEET 5\t\t\tCUSTOM GENE (mRNA) SAS INPUT FILE WITH SAS STATEMENTS AND RQW DATA\t\n\t\t\t\t\nSHEET 6\t\t\tRESULTS FROM STATISTICAL ANALYSIS OF CUSTOM ARRAY mRNA DATA\t\n\t\t\tCUSTOM ARRAY: LIST OF GENES AND GENE DESCRIPTIONS\t\n\t\t\t\t\nSHEET 7\t\t\tPREDICTION MODELS OF TESTOSTERONE PRODUCTION REDUCTIONS AND REPRODUCTIVE EFFECTS OF IN UTERO PHTHALATE EXPOSURE\t\n\t\t\t\t\nSHEET 8\t\t\tTREATMENT EFFECTS PREDICTED FROM THE TESTOSTERONE PREDICTION MODELS\t\n\t\t\tCOMPARISON OF THE PREDICTED EFFECTS OF THE DBP+DINP MIXTURE WITH OBSERVED EFFECTS OF THE REFERENCE CHEMICAL (DBP) AT EQUIVALENT DOSES, ASSUMING DOSE ADDITIVITY. \n\nThis dataset is associated with the following publication:\nGray, L., C. Lambright, N. Evans, J. Ford, and J. Conley. Using Targeted Fetal Rat Testis Genomic and Endocrine Alterations to Predict the Effects of a Phthalate Mixture on the Male Reproductive Tract..   Current Research in Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 7: 100180, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530554",
      "keyword": [
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Leon Gray",
        "hasEmail": "mailto:gray.earl@epa.gov"
      },
      "distribution": [
        {
          "title": "DBP DINP MIX paper METADATA FOR PUBLICATION.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530554/DBP%20DINP%20MIX%20paper%20METADATA%20FOR%20PUBLICATION.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-27",
      "references": [
        "https://doi.org/10.1016/j.crtox.2024.100180",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11239482"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LAMARCK DNAmAge and Ozone Dataset",
      "description": "This dataset contains data from the LAMARCK controlled exposure study including DNA methylation assessments done before and 24 hours after each exposure, subclinical health outcomes measures, exposure details, and demographic information on the individual participants in the study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The dataset can be accessed by contacting Dr. Cavin Ward-Caviness (ward-caviness.cavin@epa.gov). Format: The data is tabular data containing information on DNA methylation assessment, lung function, inflammation, controlled exposure conditions, and demographics of the LAMARCK participants. DNA methylation age has also been calculated based on the DNA methylation assessment data. \n\nThis dataset is associated with the following publication:\nWeston, W., M. Bind, W. Cascio, R. Devlin, D. Diaz Sanchez, and C. Ward-Caviness. Accelerated aging and altered sub-clinical response to ozone exposure in young, healthy adults.   Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 10(1): dvae007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531144",
      "keyword": [
        "Ozone",
        "Aging",
        "controlled exposure study",
        "epigenetic aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-07",
      "references": [
        "https://doi.org/10.1093/eep/dvae007",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11155485"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data represents key inputs and modeled outputs in Willwerth et al. (2023). The effects of climate change on outdoor recreation participation in the U.S.: Projections for the 21st century.",
      "description": "Data represents key inputs and modeled outputs of the published journal article. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531671",
      "keyword": [
        "climate change",
        "Outdoor Recreation",
        "future projections"
      ],
      "contactPoint": {
        "fn": "Lauren Gentile",
        "hasEmail": "mailto:gentile.lauren@epa.gov"
      },
      "distribution": [
        {
          "title": "Willwerth et al. (2023)_Data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531671/Willwerth%20et%20al.%20%282023%29_Data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-31",
      "references": [
        "https://doi.org/10.1175/wcas-d-22-0060.1",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324584"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating potential developmental toxicity of perfluoroalkyl and polyfluoroalkyl substances in Xenopus laevis embryos and larvae",
      "description": "Dataset for \"Degitz SJ, Degoey PP, Haselman JT, Olker JH, Stacy EH, Blanksma C, Meyer S, Mattingly KZ, Blackwell B, Opseth AS, Hornung MW. Evaluating potential developmental toxicity of perfluoroalkyl and polyfluoroalkyl substances in Xenopus laevis embryos and larvae. J Appl Toxicol. 2024 Mar 26. doi: 10.1002/jat.4599. Epub ahead of print. PMID: 38531109.\". \n\nThis dataset is associated with the following publication:\nDegitz, S., P. Degoey, J. Haselman, J. Olker, E. Stacy, C. Blanksma, S. Meyer, K. Mattingly, B. Blackwell, A. Opseth, and M. Hornung. Evaluating potential developmental toxicity of perfluoroalkyl and polyfluoroalkyl substances in Xenopus laevis embryos and larvae.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 44(7): 1040-1049, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531461",
      "keyword": [
        "PFAS",
        "amphibian",
        "Developmental Toxicity",
        "endocrine"
      ],
      "contactPoint": {
        "fn": "Sigmund Degitz",
        "hasEmail": "mailto:degitz.sigmund@epa.gov"
      },
      "distribution": [
        {
          "title": "Science hub PFAS Xlaevis _Degitz et al .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531461/Science%20hub%20PFAS%20Xlaevis%20_Degitz%20et%20al%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-26",
      "references": [
        "https://doi.org/10.1002/jat.4599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Comparative Study of Phase I and II Hepatic Microsomal Biotransformation of Phenol in Three Species of Salmonidae: Hydroquinone, Catechol, and Phenylglucuronide Formation",
      "description": "Dataset for \"Kolanczyk, R.C.; Solem, L.E.; Schmieder, P.K.; McKim, J.M., III. A Comparative Study of Phase I and II Hepatic Microsomal Biotransformation of Phenol in Three Species of Salmonidae: Hydroquinone, Catechol, and Phenylglucuronide Formation. Fishes 2024, 9, 284. https://doi.org/10.3390/fishes9070284\". \n\nThis dataset is associated with the following publication:\nKolanczyk, R., L. Solem, P. Schmieder, and J. McKim. A Comparative Study of Phase I and II Hepatic Microsomal Biotransformation of Phenol in Three Species of Salmonidae: Hydroquinone, Catechol, and Phenylglucuronide Formation..   Fishes. MDPI, Basel,  SWITZERLAND, 9(7): 284, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531658",
      "keyword": [
        "Metabolic Activation",
        "Vmax",
        "metabolic deactivation",
        "fish",
        "phenol",
        "lake trout",
        "microsomes",
        "Km",
        "rainbow trout",
        "brook trout"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of DATA_3 Species.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531658/Copy%20of%20DATA_3%20Species.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-12",
      "references": [
        "https://doi.org/10.3390/fishes9070284"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Occurrence and potential ecological risks of PFAS in Pampulha Lake, Brazil, a UNESCO world heritage site",
      "description": "Dataset for \"Maria Clara V.M. Starling, Daniel A.S. Rodrigues, Gisele A. Miranda, Suna Jo, Camila C. Amorim, Gerald T. Ankley, Matt Simcik, Occurrence and potential ecological risks of PFAS in Pampulha Lake, Brazil, a UNESCO world heritage site, Science of The Total Environment, Volume 948, 2024, 174586, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2024.174586.\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: Data will be made available on request from Maria Clara Starling (mariaclara@desa.ufmg.br). Format: N/A. \n\nThis dataset is associated with the following publication:\nClara Starling, M., D. Rodrigues, G. Miranda, S. Jo, C. Costa Amorim, G. Ankley, and M. Simcik. Occurrence and potential ecological risks of PFAS in Pampulha Lake, Brazil, a UNESCO world heritage site.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 948: 174586, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531657",
      "keyword": [
        "PFAS",
        "Brazil",
        "monitoring",
        "ecological risk"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0048969724047351-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531657/1-s2.0-S0048969724047351-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0048969724047351-mmc3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531657/1-s2.0-S0048969724047351-mmc3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0048969724047351-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531657/1-s2.0-S0048969724047351-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-05",
      "references": [
        "https://doi.org/10.2139/ssrn.4829918"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conley 2024 Maternal and neonatal effects of PFMOAA Dataset",
      "description": "Dataset includes summary statistics (mean, standard error, sample size) for all endpoints measured and reported from the the experiments described in the published manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, J. Bangma, J. Ford, D. Jenkins-Hill, E. Medlock Kakaley, and L. Gray. Maternal and neonatal effects of maternal oral exposure to perfluoro-2-methoxyacetic acid (PFMOAA) during pregnancy and early lactation in the Sprague-Dawley rat.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(2): 1064-1075, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530885",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "developmental toxicology",
        "liver toxicity"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.3c08559/suppl_file/es3c08559_si_002.xlsx",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.3c08559/suppl_file/es3c08559_si_002.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-06",
      "references": [
        "https://doi.org/10.1021/acs.est.3c08559",
        "https://pasteur.epa.gov/uploads/10.23719/1530885/documents/es3c08559_si_002.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530885/documents/ConleyJustin_D-2jmf_Dataset_Dictionary_2024-3-6.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data set for collaborative research with Univ of Toledo on BAF full-scale study",
      "description": "The dataset includes the results of DNA concentrations, barcode 16S information for DNA sequencing, and data analysis. \n\nThis dataset is associated with the following publication:\nJeon, Y., l. li, M. Bhatia, H. Ryu, J. SantoDomingo, J. Brown, J. Goetz, and y. seo. Impacts of severe harmful algal blooms on bacterial communities in full-scale biological filtration systems for drinking water treatment.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 927: e171301, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522908",
      "keyword": [
        "biologically-active filters",
        "bacterial community structure",
        "drinking water treatment process",
        "harmful algal bloom"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Data analysis_Toledo_Feb 2018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522908/Data%20analysis_Toledo_Feb%202018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "barcode 16s_2018 Feb Toledo.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522908/barcode%2016s_2018%20Feb%20Toledo.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "0220 Extracted DNA concentrations_022018.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522908/0220%20Extracted%20DNA%20concentrations_022018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-21",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.171301"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supporting Data for Fei et al. 2023, Future climate change impacts on U.S. agricultural yields, production, and market",
      "description": "The supporting data is stored in a zip file composed of 36 individual files supporting tables and sensitivity analyses from the paper. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531674",
      "keyword": [
        "climate",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Marcus Sarofim",
        "hasEmail": "mailto:sarofim.marcus@epa.gov"
      },
      "distribution": [
        {
          "title": "climatechange-ag.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531674/climatechange-ag.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-27",
      "references": [
        "https://dx.doi.org/10.1016/j.ancene.2023.100386"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Report on Evaluation of the Interaction-based Hazard Index Formula with Data on Trihalomethanes",
      "description": "The endpoints selected for evaluation of the HIINT formula were percent relative liver weight of mice (PcLiv) and the logarithm of ALT [Log(ALT)], where the log transformation was used to help stabilize the increases in variance with dose found in the ALT dataset.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531675",
      "keyword": [
        "Mixture Effective Dose Estimation",
        "chemical mixtures",
        "chemical Mixtures Risk Assessment",
        "Hazard Index",
        "dose addition",
        "Dose Additivity",
        "Binary Interaction Weight-of-Evidence",
        "interactions"
      ],
      "contactPoint": {
        "fn": "Tony McDonald",
        "hasEmail": "mailto:mcdonald.tony@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix A-9_Interact-HI-THMs_2021-01-31.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531675/Appendix%20A-9_Interact-HI-THMs_2021-01-31.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Zebrafish to Screen Developmental Toxicity of Per- and Polyfluoroalkyl Substances (PFAS)",
      "description": "Figure S1: BMC curves. \nTable S1: Fish assessments. \nTable S2: Data to make visualization of toxicity (Figure 3). \nTable S3: Data to make BMC curves. \n\nThis dataset is associated with the following publication:\nBritton, K., R. Judson, B. Hill, K. Jarema, J. Olin, B. Knapp, M. Lowery, M. Feshuk, J. Brown, and S. Padilla. Using Zebrafish to Screen Developmental Toxicity of Per- and Polyfluoroalkyl Substances (PFAS).   Toxics. MDPI, Basel,  SWITZERLAND, 12(7): 501, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531229",
      "keyword": [
        "PFAS",
        "larval zebrafish",
        "in vivo",
        "Benchmark Concentration",
        "potency",
        "high-throughput screening"
      ],
      "contactPoint": {
        "fn": "Stephanie Padilla",
        "hasEmail": "mailto:padilla.stephanie@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Table S1 Fish Assessments 2-26-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531229/Supplemental%20Table%20S1%20Fish%20Assessments%202-26-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table S2 Data to make Network PFAS ZF summary data 3-6-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531229/Supplemental%20Table%20S2%20Data%20to%20make%20Network%20PFAS%20ZF%20summary%20data%203-6-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Table S3 Data to make BMC Curves 2-26-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531229/Supplemental%20Table%20S3%20Data%20to%20make%20BMC%20Curves%202-26-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Figure S1 BMC Curves 12-05-2023.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531229/Supplemental%20Figure%20S1%20BMC%20Curves%2012-05-2023.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-06",
      "references": [
        "https://doi.org/10.3390/toxics12070501",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11281043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EpiSensA metadata",
      "description": "Metadata for peer-reviewed publication on the validation of the EpiSensA skin sensitization test. No EPA data. This dataset is not publicly accessible because: Non-EPA generated data collected by an external group. Data were not processed or analyzed by EPA staff. No EPA funding was used to collect the data. Only metadata required. It can be accessed through the following means: The manuscript will include a statement that data can be accessed upon request (by contacting the corresponding author, Hideyuki Mizumachi (mizumachi.hideyuki@kao.com)). Format: No EPA data. Only meta-data required. Data are organized in Exell files containing study data. \n\nThis dataset is associated with the following publication:\nMizumachi, H., M. Watanabe, M. Ikezumi, M.  Kajiwara, M. Yasuda, M. Mizuno, N.  Imai, M. Sakuma, M. Shibata, S. Watanabe, J. Motoyama, D. Basketter, C. Eskes, S. Hoffmann, D. Lehmann, T. Ashikaga, T. Sozu, M. Takeyoshi, S. Suzuki, M. Miyazawa, and H. Kojima. The inter-laboratory validation study of EpiSensA for predicting skin sensitization potential.   JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA,  510-525, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528731",
      "keyword": [
        "reconstructed human epidermis",
        "Non-animal test method",
        "validation study",
        "skin sensitization"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [],
      "modified": "2023-04-03",
      "references": [
        "https://doi.org/10.1002/jat.4559"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528731/documents/EpiSensA_SciHub_DataEntry.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial critical loads and other information from Coughlin et al. 2023. ",
      "description": "Data provided in this repository are compiled Forest Inventory and Analysis program data that are reflective of the data used in the Coughlin et al. (2024) publication. These data include compiled growth and survival probability data used to model these relationships against N deposition. A metadata file is also included. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531677",
      "keyword": [
        "critical loads",
        "NAAQS",
        "air pollution",
        "Nitrogen and Co-pollutants",
        "Trees"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/projects/Characterizing_localized_nitrogen_sensitivity_of_tree_species_and_the_associated_influences_of_mediating_factors/165652",
          "accessURL": "https://figshare.com/projects/Characterizing_localized_nitrogen_sensitivity_of_tree_species_and_the_associated_influences_of_mediating_factors/165652",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Social Cost of Ozone-Related Mortality Impacts From Methane Emissions - Associated Model Data and Code",
      "description": "Model data and code for The Social Cost of Ozone-Related Mortality Impacts From Methane Emissions. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531679",
      "keyword": [
        "social cost of methane",
        "methane ozone mortality"
      ],
      "contactPoint": {
        "fn": "Erin McDuffie",
        "hasEmail": "mailto:mcduffie.erin.e@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.8276748",
          "accessURL": "https://doi.org/10.5281/zenodo.8276748",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7930887",
          "accessURL": "https://doi.org/10.5281/zenodo.7930887",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-11",
      "references": [
        "https://dx.doi.org/10.1029/2023ef003853",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631284"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata spreadsheet for selection of weightings used in Eco-wellbeing network tool",
      "description": "The associated spreadsheet and report summarize details on assignment of link weights for the generic eco-wellbeing network.  Additional detail can be found in published reports and peer review papers cited in the associated article. \n\nThis dataset is associated with the following publication:\nFulford, R., and E. Paulukonis. Eco-decisional well-being networks as a tool for community decision support.   Frontiers in Ecology and Evolution. Frontiers, Lausanne,  SWITZERLAND, 12: 1210154, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531457",
      "keyword": [
        "decisiion support",
        "eco-wellbeing network",
        "human well-being",
        "network-based tools"
      ],
      "contactPoint": {
        "fn": "Richard Fulford",
        "hasEmail": "mailto:fulford.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Vero Beach Community Workshop Report_10-08-15.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531457/Vero%20Beach%20Community%20Workshop%20Report_10-08-15.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub_Ecodes_nodes and weights template.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531457/SciHub_Ecodes_nodes%20and%20weights%20template.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-16",
      "references": [
        "https://doi.org/10.3389/fevo.2024.1210154"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pseudo-Probabilistic Framework Demonstration Datasets 2024",
      "description": "Raw data sources and link to supplementary demonstration results data. \n\nThis dataset is associated with the following publication:\nHarwell, L., C. McMillion, A. Lamper, and J.K. Summers. Development of a generalized pseudo-probabilistic approach for characterizing ecological conditions in estuaries using secondary data.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 196(8): 753, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531663",
      "keyword": [
        "assessment",
        "estuary",
        "probabilistic",
        "NCCA",
        "Secondary data"
      ],
      "contactPoint": {
        "fn": "Linda Harwell",
        "hasEmail": "mailto:harwell.linda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/ncca",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/ncca",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://floridadep.gov/dear/watershed-services-program/content/winstoret",
          "accessURL": "https://floridadep.gov/dear/watershed-services-program/content/winstoret",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1007/s10661-024-12877-8",
          "accessURL": "https://doi.org/10.1007/s10661-024-12877-8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-12",
      "references": [
        "https://doi.org/10.1007/s10661-024-12877-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11271375"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stability and Reactivity of Per- and Polyfluoroalkyl Substances in Solvents Relevant to Environmental and Toxicological Analysis",
      "description": "Data belongs to Detlef Knappe's research group at North Carolina State University, as this study was that of PhD students and postdoctoral researches from his laboratory. This dataset is not publicly accessible because: Non-EPA generated data. It can be accessed through the following means: Non-EPA generated data. Format: Non-EPA generated data. \n\nThis dataset is associated with the following publication:\nLiberatore, H., A. McElroy, C. Zhang, N.L. Alexander, and D. Knappe. Stability of Per- and Polyfluoroalkyl Substances in Solvents Relevant to Environmental and Toxicological Analysis.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA,  na, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522857",
      "keyword": [
        "Per- and polyfluoroalkyl substances (PFAS)"
      ],
      "contactPoint": {
        "fn": "Hannah Liberatore",
        "hasEmail": "mailto:liberatore.hannah@epa.gov"
      },
      "distribution": [],
      "modified": "2021-04-21",
      "references": [
        "https://doi.org/10.1021/acs.est.1c03979",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065217"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Changes in CpG Methylation of the Vitellogenin 1 Promoter in Adult Male Zebrafish after Exposure to 17α-Ethynylestradiol",
      "description": "The instructions for analysis are described in Kolli et al. (2019) along with a sample Illumina sequence file available with a ready-to-run VirtualMachine that can also be accessed at http://toxicology.uga.edu/resources/dna_methylation_analysis/. Supporting data for sequencing and qPCR raw data are available at https://doi.org/10.5281/zenodo.8313356, sharing qPCR raw data files for the endpoint for male and female fish from CFX Manger (Ver. 3.0), qPCR quantification data, TGBS raw sequences, and a TGBS metadata file with sample information. \n\nThis dataset is associated with the following publication:\nKolli, R., T. Glenn, R. Bringolf,, W. Henderson, B. Cummings, and J. Kenneke. Changes in CpG Methylation of the Vitellogenin 1 Promoter in Adult Male Zebrafish after Exposure to 17α-Ethynylestradiol.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 43(7): 1547-1556, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531458",
      "keyword": [
        "DNA methylation",
        "ecotoxicology",
        "endocrine-disrupting compounds",
        "estrogenic compounds",
        "vitellogenin",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "John Kenneke",
        "hasEmail": "mailto:kenneke.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.8313356",
          "accessURL": "https://doi.org/10.5281/zenodo.8313356",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://toxicology.uga.edu/resources/dna_methylation_analysis/",
          "accessURL": "https://toxicology.uga.edu/resources/dna_methylation_analysis/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplementary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531458/Supplementary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-28",
      "references": [
        "https://doi.org/10.1002/etc.5879"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Investigation of peroxisome proliferator-activated receptor delta (ppard)-dependent visual startle response hyperactivity in larval zebrafish exposed to structurally similar Per- and Polyfluoroalkyl Substances (PFAS)",
      "description": "PFHxS, PFOS, and Heptachlor RNA sequencing data. Portions of this dataset are inaccessible because: The files are too large. They can be accessed through the following means: The data can be accessed through the hyperlinks.\r\nhttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE190490\r\nhttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE190009. Format: Raw RNA-sequencing output files (fastq files) for PFOS exposure located https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE190490. Metadata is included with the GEO submission.\r\nRaw RNA-sequencing output files (fastq files) for PFHxS exposure located https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE190009. Metadata is included with the GEO submission. \n\nThis dataset is associated with the following publication:\nGutsfeld, S., L. Wehmas, I. Omoyeni, N. Schweiger, D. Leuthold, P. Michaelis, X.M. Howey, S. Gaballah, N. Herold, C. Vogs, C. Wood, L. Becker-Bertotto, G. Wu, N. Kluver, W. Busch, S. Scholz, J. Schor, and T. Tal. Investigation of Peroxisome Proliferator-Activated Receptor Genes as Requirements for Visual Startle Response Hyperactivity in Larval Zebrafish Exposed to Structurally Similar Per- and Polyfluoroalkyl Substances (PFAS).   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(7): 77007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529111",
      "keyword": [
        "CRISPR",
        "AOP",
        "PFAS",
        "transcriptomics",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "Leah Wehmas",
        "hasEmail": "mailto:wehmas.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "supp_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529111/supp_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "readme_infosheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529111/readme_infosheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-01",
      "references": [
        "https://doi.org/10.1289/ehp13667",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11268134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model",
      "description": "These data are fully described in the associated EPA report. \nThe Import Shares (ISs) are provided in a single Excel file covering all years. \nThe Import Emission Factors (IEFs) are provided in csv files by year and by level of commodity classification, with names starting with \"US_detail_import_factors\" for detail-level commodity classification and \"US_summary_import_factors\"  for summary-level commodity classification. \nUSEEIO models (v2.3) with these IEFs were built using useeior v1.6.0 and written out to Excel files.  Import emission factors are incorporated into these USEEIO models where they are further transformed into producer price and found in the M_n sheet of the model Excel files. Table 6 in the report shows year and level of commodity classification for each model along with which IEF file is used. \nThe files with model names ending in *.yml are the model specification files for each of the published models.\nCorrespondence files are provided that are used to (1) map EXIOBASE commodities to USEEIO commodities, (2) map BEA service category data to USEEIO sectors, and (3) map EXIOBASE Country/Region to BEA Service, Census Goods and TiVA trade regions.\n\nData dictionaries for file types:\n\n1. USEEIO models (Excel) - https://github.com/USEPA/useeior/blob/v1.6.0/format_specs/Model.md\n2. Model spec files  https://github.com/USEPA/useeior/blob/v1.6.0/format_specs/ModelSpecification.md\n3. Import shares  - Data dictionary found in file\n4. Import Emission Factors (csv) - https://github.com/USEPA/USEEIO/blob/6cdd903fe5be58941c833f4cf585313f7e40d2a7/import_factors_exio/README.md\n5. Correspondence files - https://github.com/USEPA/USEEIO/blob/fe48b5bc79ca994624838ce3b8171b9c65b691e2/import_factors_exio/concordances/README.md\n\n\n\n\n\n\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531676",
      "keyword": [
        "climate change",
        "U.S. imports",
        "embodied carbon",
        "USEEIO",
        "international trade"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2017_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2017_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2018_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2018_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2019_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2019_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2020_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2020_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2021_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2021_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2022_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_exio_2022_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2017_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2017_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2018_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2018_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2019_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2019_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2020_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2020_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2021_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2021_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2022_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_exio_2022_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ImportShares_2017-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/ImportShares_2017-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-s-GHG-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-s-GHG-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-21.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-19.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-18.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.3-GHG-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531676/USEEIOv2.3-GHG-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-01",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-17.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-18.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-19.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-20.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-21.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-GHG-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-17.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-18.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-19.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-20.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-21.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.3-s-GHG-22.yml",
        "https://raw.githubusercontent.com/USEPA/USEEIO/fe48b5bc79ca994624838ce3b8171b9c65b691e2/import_factors_exio/concordances/BEA_service_to_useeio2_sector_concordance.csv",
        "https://raw.githubusercontent.com/USEPA/USEEIO/fe48b5bc79ca994624838ce3b8171b9c65b691e2/import_factors_exio/concordances/exio_to_useeio2_commodity_concordance.csv",
        "https://raw.githubusercontent.com/USEPA/USEEIO/fe48b5bc79ca994624838ce3b8171b9c65b691e2/import_factors_exio/concordances/exio_country_concordance.csv"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions - Associated Data and Code",
      "description": "Data and code for A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531680",
      "keyword": [
        "Greenhouse gas",
        "UNFCCC",
        "Agriculture",
        "Petroleum",
        "natural gas",
        "coal",
        "waste"
      ],
      "contactPoint": {
        "fn": "Erin McDuffie",
        "hasEmail": "mailto:mcduffie.erin.e@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.8367082",
          "accessURL": "https://doi.org/10.5281/zenodo.8367082",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/GEPA/releases/tag/v1.0",
          "accessURL": "https://github.com/USEPA/GEPA/releases/tag/v1.0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-10-19",
      "references": [
        "https://dx.doi.org/10.1021/acs.est.3c05138",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620993"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development Optimization of a Systematic Approach to Identifying Lead Service Lines - One Community’s Success: Metadata entry",
      "description": "Lead service lines (LSLs), when present, are the largest source of lead in drinking water, and their removal is necessary to reduce public exposure to lead from drinking water. Unfortunately, the composition of many service lines (SLs) is uncertain. The town of Bennington, Vermont, for example, has unreliable SL records, making it challenging to build an inventory and conduct an LSL replacement program. In 2017, Bennington commenced a project to identify SL materials and replace all LSLs. 159 control homes, consisting of 99 LSL and 60 non-LSL sites, were chosen for record reviews, visual SL observations, fully flushed (FF) and sequential profile water sampling, and test excavations to evaluate method accuracies. Of the 159 control homes, records for 90 % of the 99 known LSL homes were accurate. Whereas 3 % of the 60 non-lead SL homes’ records accurately identified SL material. Fully flushed and sequential profile samples (SPSs) were 73 % and 95 % accurate for identifying LSLs and 95 % and 83 % accurate for identifying non-LSLs, respectively. Results were 100 % accurate when visual observations, FF samples, and test excavation were used in a stepwise approach. A stepwise approach consisting of visual SL observations, FF samples, and SPSs achieved a 98 % accuracy at identifying LSLs and a 67 % cost reduction compared to performing test excavations at each home. Findings from this control group study are critical for state, tribal, and local officials to inform their decisions about the selected approach to identify unknown SLs. This dataset is not publicly accessible because: EPA was not the lead in this work. The data is owned and maintained by the lead author Patrick Smart and their organization MSK Engineers. It can be accessed through the following means: Data will be made available on request. Contact the corresponding author from MSK Engineers, PE, MSK Engineers 150 Depot Street, Bennington, VT, United States, Patrick Smart (psmart@mskeng.com). Format: Data consists of the records review from 159 control homes, consisting of 99 lead service lines  and 60 non-LSL sites.  Data summary from visual service line observations, fully flushed and sequential profile water sampling, and test excavations to evaluate method accuracies were compiled. \n\nThis dataset is associated with the following publication:\nSmart, P., L. MacRae, C. Formal, and D. Lytle. Development Optimization of a Systematic Approach to Identifying Lead Service Lines - One Community’s Success.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 246: 120725, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531023",
      "keyword": [
        "water sampling",
        "lead",
        "service line",
        "drinking water",
        "Sequential profile samples",
        "Fully flushed samples",
        "Stepwise service line identification"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2023.120725",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11107698"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rifle and Pistol",
      "description": "Emissions data from firing an M4 carbine rifle and a M9  pistol. \n\nThis dataset is associated with the following publication:\nAurell, J., A. Holder, B. Gullett, T. Sowers, J. Weinstein, P. Kariher, k. mcnesby, Y. Kim, and M. Gilmour. Gas and Particle Emissions from Rifle and Pistol Firing.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 476: 135196, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531686",
      "keyword": [
        "range ventilation",
        "carbon monoxide",
        "metals",
        "exposure",
        "particulate matter (PM)",
        "pistol",
        "emissions",
        "rifle"
      ],
      "contactPoint": {
        "fn": "Johanna Aurell",
        "hasEmail": "mailto:aurell.johanna@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Set Rifle and Pistol 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531686/Data%20Set%20Rifle%20and%20Pistol%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-09",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.135196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead X-ray absorption near edge spectroscopy (XANES) linear combination fit modelling",
      "description": "Dataset is Lead speciation analysis by X-ray absorption spectroscopy and linear combination fitting modelling with known lead standards. Samples were from a potted incubation experiment where lead paint chip contaminated soil was amended with 3 different sources of phosphorus: triple super phosphate, potassium phosphate, and bone meal. Phosphorus was amended at 3 different phosphorus rates. Soil was allowed to incubate at room conditions for 159 days with rewatering to maintain moisture. Subsamples were measured from each incubation pot after 30 and 159 days (T1 and T2). Paint chip contamination source contained a mixture of anglesite (lead sulfate), massicot (lead oxide) and cerussite (lead carbonate). Lead species in soil contained a mixture of lead adsorbed to iron oxides, lead oxide, and lead sulfate. No lead phosphate species were identified in any samples indicating that methods used in this study did not transform soil lead to desired form for remediation of lead. \n\nThis dataset is associated with the following publication:\nMadsen, J., Z. Dascalos, K. Ramsey, F. Mayer, C. Wong, Z. Raposo, R. Hunter, M. Reinhart, A. Carlson, A. Catlin, T. Mihelic, Z. Pfahler, A. Carroll, K. Angelich, C. Stubler, D. Sun, A. Betts, and C. Appel. Impacts of phosphorus amendments on legacy soil contamination from lead-based paint on a California, USA university campus.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 362: 142645, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531690",
      "keyword": [
        "immobilization",
        "lead",
        "bioaccessible",
        "remediation",
        "soil contamination",
        "phosphorus",
        "XANES",
        "lead speciation"
      ],
      "contactPoint": {
        "fn": "Aaron Betts",
        "hasEmail": "mailto:betts.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "LCF_XANES_Table_Normalization_and_Analysis_Parameters.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531690/LCF_XANES_Table_Normalization_and_Analysis_Parameters.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Madsen et al 2024 Lead LCF model data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531690/Madsen%20et%20al%202024%20Lead%20LCF%20model%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0022-06-21",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.142645"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model linkage to assess forest disturbance impacts on water quality: a wildfire case study using LANDIS(II)-VELMA",
      "description": "These files contain the inputs, outputs, and metadata files for VELMA and LANDIS-II calibration. Output and analysis files from the LANDIS-VELMA linkage are also provided. There is an additional zip file that contains the data used for creating the figures for the manuscript and appendices. \n\nThis dataset is associated with the following publication:\nVenable, K., J. Johnston, S. Leduc, and L. Prieto. Model linkage to assess forest disturbance impacts on water quality: A wildfire case study using LANDIS(II)-VELMA.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   180: 106134, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528060",
      "keyword": [
        "remote sensing",
        "land use",
        "nutrient dynamics",
        "biomass",
        "evapotranspiration",
        "precipitation",
        "Forest Management",
        "Hayman Fire",
        "water treatment",
        "LANDIS-II",
        "VELMA"
      ],
      "contactPoint": {
        "fn": "Kar'Retta Venable",
        "hasEmail": "mailto:venable.karretta@epa.gov"
      },
      "distribution": [
        {
          "title": "07192024MSFigureFiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528060/07192024MSFigureFiles.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "07192024MSData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528060/07192024MSData.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-02",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2024.106134"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data - Anthropogenic secondary organic aerosol and ozone production from asphalt-related emissions",
      "description": "This data was used to generate the figures and perform the analysis in the aforementioned manuscript. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531683",
      "keyword": [
        "emissions",
        "Ambient air quality",
        "Asphalt"
      ],
      "contactPoint": {
        "fn": "Karl Seltzer",
        "hasEmail": "mailto:seltzer.karl@epa.gov"
      },
      "distribution": [
        {
          "title": "AP_State_Inventory_TimeSeries.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531683/AP_State_Inventory_TimeSeries.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AP_2018_State_County_Inventory.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531683/AP_2018_State_County_Inventory.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "stats_asphalt.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531683/stats_asphalt.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "maintext_figs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531683/maintext_figs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-26",
      "references": [
        "https://dx.doi.org/10.1039/d3ea00066d"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Meta-analysis of SGA and DBPs",
      "description": "Meta-analysis of published studies of disinfection byproduct exposures and small for gestational age births using odds ratios. \n\nThis dataset is associated with the following publication:\nSummerhayes, R., B. Rahman, G. Morgan, G. Beresin, C. Moreno, and M. Wright. Meta-Analysis of Small for Gestational Age Births and Disinfection Byproduct Exposures.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, (196): 110280, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531688",
      "keyword": [
        "small for gestational age",
        "Haloacetic Acids",
        "disinfection byproducts",
        "trihalomethanes"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubmed.ncbi.nlm.nih.gov/33035558/",
          "accessURL": "https://pubmed.ncbi.nlm.nih.gov/33035558/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-10-06",
      "references": [
        "https://doi.org/10.1016/j.envres.2020.110280"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "OSF|ETC_2022_ Gardiner_DATA release_Field",
      "description": "Numerous per- and polyfluoroalkyl substances (PFAS) are of growing concern worldwide, due to their ubiquitous presence, bioaccumulation and adverse effects. Surface waters in the United States have displayed elevated concentrations of PFAS, but so far discrete water sampling has been the commonly applied sampling approach. Here we field-tested a novel integrative passive sampler, a microporous polyethylene (PE) tube, and derived sampling rates (Rs) for 9 PFAS in surface waters. Three sampling campaigns were conducted, deploying PE tube passive samplers in the effluent of two wastewater treatment plant (WWTP) effluent sites plants (WWTPs) and across Narragansett Bay (RI, US) for one month each in 2017/2018. Passive samplers exhibited linear uptake of PFAS in the WWTP effluents over 16-29 days, with in-situ Rs for nine PFASs ranging from 10 mL day-1 (PFPeA) to 29 mL day-1 (PFOS). Similar sampling rates of 19 ± 4.8 mL day-1 were observed in estuarine field deployments. Applying these Rs values in a different WWTP effluent predicted dissolved PFAS concentrations mostly within 50% of their observations in daily composite water samples, except for PFBA (where predictions from passive samplers were 3x greater than measured values), PFNA (1.9), PFDA (1.7) and PFPeS (0.1). These results highlight the potential use of passive samplers as measurement and assessment tools of PFAS in dynamic aquatic environments. \n\nThis dataset is associated with the following publication:\nGardiner, C., A. Robuck, J. Becanova, M. Cantwell, S. Kaserzon, D. Katz, J. Mueller, and R. Lohmann. Field validation of a novel passive sampler for dissolved PFAS in surface waters.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(10): 2375-2385, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530553",
      "keyword": [
        "PFAS",
        "wastewater",
        "estuary",
        "Passive Samplers"
      ],
      "contactPoint": {
        "fn": "Anna Robuck",
        "hasEmail": "mailto:robuck.anna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://osf.io/wzsm9/",
          "accessURL": "https://osf.io/wzsm9/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-07-12",
      "references": [
        "https://doi.org/10.1002/etc.5431",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558079"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental information for: Three centuries of biogeochemical change in a temperate embayment as revealed by sediment cores stable isotopes and historical ecology",
      "description": "This repository contains data for the manuscript “Three centuries of biogeochemical change in a temperate embayment as revealed by sediment cores stable isotopes and historical ecology”, by Sawyer J. Balint, Morgan Schwartz, Andrew Gray, Tim Cranston, Robinson W. Fulweiler, Melissa Hagy, Rick McKinney, and Autumn Oczkowski",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530962",
      "keyword": [
        "stable isotopes",
        "estuary",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/11127932",
          "accessURL": "https://zenodo.org/records/11127932",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Experimental assessment of EAIRMS normalization methodologies for environmental stable isotopes",
      "description": "Supplementary and data for: Experimental assessment of EAIRMS normalization methodologies for environmental stable isotopes. \n\nThis dataset is associated with the following publication:\nBalint, S., M. Schwartz, D.N. Fowler, S. Linnekogel, S. Cromratie Clemons, and L.K. Burkemper. Experimental assessment of elemental analyzer isotope ratio mass spectrometry normalization methodologies for environmental stable isotopes.   Rapid Communications in Mass Spectrometry. Wiley InterScience, Silver Spring, MD, USA, 38(17): e9837, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531656",
      "keyword": [
        "normalization",
        "stable isotopes",
        "nitrogen",
        "carbon"
      ],
      "contactPoint": {
        "fn": "Morgan Schwartz",
        "hasEmail": "mailto:schwartz.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/11270042",
          "accessURL": "https://zenodo.org/records/11270042",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-27",
      "references": [
        "https://doi.org/10.1002/rcm.9837",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11284645",
        "https://zenodo.org/records/11270042"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iterative engagement  in nutrient management 2020/2022",
      "description": "Interview transcripts. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Individual requests to the authors will be addressed and accommodated as is possible while preserving participant identities. Format: Data includes reflections from a small population that would be identifiable even with removal of personal information such as name and employer. \n\nThis dataset is associated with the following publication:\nCanfield, K., and C. Chatelain. Using science communication research to practice iterative engagement in collaborative nutrient management.   JCOM: Journal of Science Communication. SISSA Medialab, Trieste,  ITALY, 23(3): N01, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531672",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "evaluation",
        "Science communication",
        "social science"
      ],
      "contactPoint": {
        "fn": "Katherine Canfield",
        "hasEmail": "mailto:canfield.katherine@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-25",
      "references": [
        "https://doi.org/10.22323/2.23030801",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11235194"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Burn Pit Inhalation Study 20220914",
      "description": "This dataset includes all data used to derive final figures and tables for paper to be submitted to the journal Inhalation Toxicology. Each tab is labeled with the name of the figure or table. \n\nThis dataset is associated with the following publication:\nVance, S., Y.H. Kim, I. George, J. Dye, W. Williams, M. Schladweiler, M. Gilmour, I. Jaspers, and S. Gavett. Contributions of Particulate and Gas Phases of Simulated Burn Pit Smoke Exposures to Impairment of Respiratory Function in Mice.   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 35(5-6): 129-138, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527945",
      "keyword": [
        "real-time plethysmography",
        "particulate matter (PM)",
        "volatile organic compounds",
        "inhalation exposure",
        "burn pit",
        "particle filtration"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Burnpit paper data 20220915.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527945/Burnpit%20paper%20data%2020220915.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-14",
      "references": [
        "https://doi.org/10.1080/08958378.2023.2169416",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392891"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A database of chemical absorption in human skin with mechanistic modeling applications",
      "description": "Data Records\n\nThe database is deposited on the Dryad Digital Repository as a series of Microsoft Excel files prepared to be used in coding. It is presented as individual files for each layer (epidermis, stratum corneum, dermis) and chemical type (fragrance related, non-volatile, hydrocortisone). Additional spreadsheets containing all information, the chemical descriptors, and time course data are also included along with a notated and color-coded file which is condensed and not recommended for coding.\n\nData Validation\n\nThe collection of experimental data was collected from its corresponding publication and the additional features were collected from the EPA CompTox Chemicals Dashboard (version 2.2.0), Padel-descriptor, as well as additional literature. The database was curated by a team of two and reviewed by an additional team member in order to ensure that the data were accurately reported with correct units. The dermal absorption coefficients were collected from peer-reviewed publications and included in the database, taking into account any additional supplementary materials and corrections. \n\nThis dataset is associated with the following publication:\nStevens, J., A. Prockter, H. Fisher, H. Tran, and M. Evans. A database of chemical absorption in human skin with mechanistic modeling applications.   Scientific Data. Springer Nature, New York, NY, USA, 11: 755, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531682",
      "keyword": [
        "mechanistic modeling",
        "human skin",
        "machine learning",
        "chemical absorption"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.dfn2z3581",
          "accessURL": "https://doi.org/10.5061/dryad.dfn2z3581",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://pubchem.ncbi.nlm.nih.gov/",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-01",
      "references": [
        "https://doi.org/10.1038/s41597-024-03588-3",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11237069"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Virginia Site A Database",
      "description": "The dataset is comprised of VOC concentrations of soil gas, outdoor and indoor air samples collected at the site for the duration of this study. \n\nThis dataset is associated with the following publication:\nZimmerman, J., A. Williams, B. Schumacher, C. Lutes, L. Levy, G. Buckley, V. Boyd, C. Holton, T. McAlary, and R. Truesdale. The Representativeness of Subslab Soil Gas Collection as Effected by Probe Construction and Sampling Methods.   Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(3): 106-121, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528501",
      "keyword": [
        "volatile organic compounds",
        "vapor intrusion",
        "probe construction",
        "Passive Sampling",
        "subslab soil gas"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "Virginia Site A Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528501/Virginia%20Site%20A%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-12",
      "references": [
        "https://doi.org/10.1111/gwmr.12663"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for evaluating timescales of Benthic Macrofaunal Response to Diel and Episodic Low Oxygen in a Subtropical Estuary",
      "description": "This dataset is a collection of three spreadsheets with data that went in to the manuscript associated with this record.  \"Pensacola Mid Bay WQM Master_11.2023.xlsx\" are data collected from Pensacola Bay, FL in 2017 and include continuous Water Quality Monitoring data from two sites in the mid-bay region of the estuary and dates when benthic surveys occurred. \"Pensacola Mid Bay Environmental Data_11.2023.xlsx\" are discrete water quality and sediment quality data collected from Pensacola Bay in 2016-2017.  \"Pensacola Mid Bay Bugs Master_11.2023.xlsx\" are macrobenthic (\"bugs\") community data collected from Pensacola Bay in 2016-2017 and the condition index calculations and scores. Metadata are provided as separate tabs in the spreadsheets. \n\nThis dataset is associated with the following publication:\nPaul, J., J. Nestlerode, and B. Jarvis. Timescales of Benthic Macrofaunal Response to Diel and Episodic Low Oxygen in a Subtropical Estuary.   Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 47(6): 1376-1387, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529830",
      "keyword": [
        "benthic index",
        "Water monitoring",
        "M-AMBI",
        "Hypoxia",
        "Gulf of Mexico",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Janet Nestlerode",
        "hasEmail": "mailto:nestlerode.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "Pensacola Mid Bay WQM Master_11.2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529830/Pensacola%20Mid%20Bay%20WQM%20Master_11.2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pensacola Mid Bay Environmental Data_11.2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529830/Pensacola%20Mid%20Bay%20Environmental%20Data_11.2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pensacola Mid Bay Bugs Master_11.2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529830/Pensacola%20Mid%20Bay%20Bugs%20Master_11.2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-09",
      "references": [
        "https://doi.org/10.1007/s12237-024-01401-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development and validation of CYP26A1 inhibition assay for high-throughput screening",
      "description": "Dataset for Sakamuru, S., Ma, D., Pierro, J. D., Baker, N. C., Kleinstreuer, N., Cali, J. J., Knudsen, T. B., & Xia, M. (2024). Development and validation of CYP26A1 inhibition assay for high-throughput screening. Biotechnology Journal, 19, e2300659. https://doi.org/10.1002/biot.202300659. This dataset is not publicly accessible because: Non-EPA generated data, cross partner project with the National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD (NCATS) and National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods, National Institute of Environmental Health Sciences, National Institutes of Health, RTP NC. The data were generated by NCATS. It can be accessed through the following means: Data will be made available upon request from Menghang Xia (NCATS, National Institutes of Health) email mxia@mail.nih.gov. Format: Not available. \n\nThis dataset is associated with the following publication:\nSakamuru, S., D. Ma, J. Pierro, N. Baker, N. Kleinstreuer, J. Cali, T. Knudsen, and M. Xia. Development and Validation of CYP26A1 Inhibition Assay for High-Throughput Screening.   Biotechnology Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 19(6): 2300659, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531659",
      "keyword": [
        "high-throughput screening",
        "bioactivity",
        "retinoic acid receptor (RAR)",
        "all-trans retinoic acid (atRA)",
        "cytochrome P450 (CYP)",
        "CYP26"
      ],
      "contactPoint": {
        "fn": "Thomas Knudsen",
        "hasEmail": "mailto:knudsen.thomas@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-22",
      "references": [
        "https://doi.org/10.1002/biot.202300659",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11338008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluvial-aeolian sediment availability models: Colorado River, Grand Canyon",
      "description": "These data were compiled to model the area of exposed, bare sand along 168 km of the Colorado River between Glen Canyon Dam and Bright Angel Creek, Arizona. Objective(s) of our study were to develop and validate four models of exposed sand area for the study reach, respectively based on 1) single-day maxiumum river discharge, 2) multiple-day river discharge patterning, 3) field-observed wind velocities, and 4) remote-sensing measured trends in vegetation areas. These data represent biophysical patterns and processes in the study reach; included here are a) daily records of maximum discharge of the Colorado River at Lees Ferry, Arizona, b) river discharge and exposed sand area throughout the study reach, c) scaling factors for bare sand areas by year based on observed vegetation extents present in the study reach, and d) scaling factors for bare sand areas by day based on our models throughout the study reach. These data were collected along the Colorado River in Grand Canyon, extending from Glen Canyon Dam downstream to Bright Angel Creek, Arizona. Data collection spanned 2002-2022. These data were collected by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center via field observation (e.g., micrometeorological stations and terrestrial lidar), and remote sensing methods (e.g., classification of aerial photographs). These data can be used to conduct bare exposed sand area modeling for the study reach presented here, and may also serve as a basis for developing models of exposed bare sand area for other river systems where similar data are available. \n\nThis dataset is associated with the following publication:\nKasprak, A., J. Sankey, and J. Caster. Landscape-Scale Modeling to Forecast Fluvial-Aeolian Sediment Connectivity in River Valleys.   GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, 51(16): e2024GL110106, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531701",
      "keyword": [
        "Environmental Justice",
        "hydrology",
        "water management",
        "surface water"
      ],
      "contactPoint": {
        "fn": "Alan Kasprak",
        "hasEmail": "mailto:kasprak.alan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/66607e2ed34e16b8573d12ac",
          "accessURL": "https://www.sciencebase.gov/catalog/item/66607e2ed34e16b8573d12ac",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-08-05",
      "references": [
        "https://doi.org/10.1029/2024gl110106"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of Mild Chronic Stress and Social Isolation on Acute Ozone-Induced Alterations in Stress Biomarkers and Brain-Region-Specific Gene Expression in Male Wistar–Kyoto Rats",
      "description": "Individuals with psychosocial stress often experience an exaggerated response to air pollutants. Ozone (O3) exposure has been associated with the activation of the neuroendocrine stress-response system. We hypothesized that preexistent mild chronic stress plus social isolation (CS), or social isolation (SI) alone, would exacerbate the acute effects of O3 exposure on the circulating adrenal-derived stress hormones, and the expression of the genes regulating glucocorticoid stress signaling via an altered stress adaptation in a brain-region-specific manner. Male Wistar–Kyoto rats (5 weeks old) were socially isolated, plus were subjected to either CS (noise, confinement, fear, uncomfortable living, hectic activity, and single housing), SI (single housing only, restricted handling and no enrichment) or no stress (NS; double housing, frequent handling and enrichment provided) for 8 weeks. The rats were then exposed to either air or O3 (0.8 ppm for 4 h), and the samples were collected immediately after. The indicators of sympathetic and hypothalamic–pituitary axis (HPA) activation (i.e., epinephrine, corticosterone, and lymphopenia) increased with O3 exposure, but there were no effects from CS or SI, except for the depletion of serum BDNF. CS and SI revealed small changes in brain-region-specific glucocorticoid-signaling-associated markers of gene expression in the air-exposed rats (hypothalamic Nr3c1, Nr3c2 Hsp90aa1, Hspa4 and Cnr1 inhibition in SI; hippocampal HSP90aa1 increase in SI; and inhibition of the bed nucleus of the stria terminalis (BNST) Cnr1 in CS). Gene expression across all brain regions was altered by O3, reflective of glucocorticoid signaling effects, such as Fkbp5 in NS, CS and SI. The SI effects on Fkbp5 were greatest for SI in BNST. O3 increased Cnr2 expression in the hypothalamus and olfactory bulbs of the NS and SI groups. O3, in all stress conditions, generally inhibited the expression of Nr3c1 in all brain regions, Nr3c2 in the hippocampus and hypothalamus and Bdnf in the hippocampus. SI, in general, showed slightly greater O3-induced changes when compared to NS and CS. Serum metabolomics revealed increased sphingomyelins in the air-exposed SI and O3-exposed NS, with underlying SI dampening some of the O3-induced changes. These results suggest a potential link between preexistent SI and acute O3-induced increases in the circulating adrenal-derived stress hormones and brain-region-specific gene expression changes in glucocorticoid signaling, which may partly underlie the stress dynamic in those with long-term SI. \n\nThis dataset is associated with the following publication:\nValdez, M., D. Freeborn, A. Henriquez, S. Snow , J.M. Valdez, T. Jackson, P. Kodavanti, and U. Kodavanti. Influence of Mild Chronic Stress and Social Isolation on Acute Ozone-Induced Alterations in Stress Biomarkers and Brain-Region-Specific Gene Expression in Male Wistar–Kyoto Rats.   Antioxidants. MDPI, Basel,  SWITZERLAND, 12(11): 1964, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531695",
      "keyword": [
        "glucocorticoids",
        "air pollution",
        "Catecholamines",
        "neuroendocrine",
        "stress",
        "brain",
        "climate change",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Prasada Kodavanti",
        "hasEmail": "mailto:kodavanti.prasada@epa.gov"
      },
      "distribution": [
        {
          "title": "Metabolomics.Scihub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531695/Metabolomics.Scihub.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-25",
      "references": [
        "https://doi.org/10.3390/antiox12111964",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669107"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "FieldAnalyzers",
      "description": "Compilation of datasets containing paired lead-in-water measurements by laboratory analysis and by field analyzers. \n\nThis dataset is associated with the following publication:\nTriantafyllidou, S., L. Wasserstrom, J. Nelson, D. Webb, C. Formal, E. Dore, and D. Lytle. Lead in synthetic and municipal drinking water varies by field versus laboratory analysis.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 891: e163873, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526396",
      "keyword": [
        "anodic stripping voltammetry",
        "fluorescence",
        "False Negative",
        "lead recovery"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "FieldAnalyzersSciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526396/FieldAnalyzersSciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-02",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.163873"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"SSN2: The next generation of spatial stream network modeling in R\"",
      "description": "Data for the Middle Fork Stream Network in 2004. \n\nThis dataset is associated with the following publication:\nDumelle, M., E. Peterson, J. Ver Hoef, A. Pearse, and D. Isaak. SSN2: The next generation of spatial stream network modeling in R.   Journal of Open Source Software. Journal of Open Source Software,    9(99): 6389, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531696",
      "keyword": [
        "Spatial Covariance",
        "Stream Network",
        "statistical model",
        "Spatial Statistics"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/12770259",
          "accessURL": "https://zenodo.org/records/12770259",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-18",
      "references": [
        "https://doi.org/10.21105/joss.06389",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11346377"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air pollution and kidney function using electronic health records",
      "description": "These data include electronic health records of a random sample of patients at the University of North Carolina healthcare system. In addition, we linked these data to results of hybrid air pollution models generated by a team at Harvard University. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Enquiries regarding access to electronic health records data can be submitted at https://tracs.unc.edu/. Format: These data include electronic medical records, which include sensitive information that cannot be released. In addition, we included results of propietary air pollution models generated by our colleagues at Harvard University. \n\nThis dataset is associated with the following publication:\nDillon, D., C. Ward-Caviness, A. Kshirsagar, J. Moyer, J. Schwartz, Q. Di, and A. Weaver. Associations between long-term exposure to air pollution and kidney function utilizing electronic healthcare records: a cross-sectional study.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 23(43): 1322, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531699",
      "keyword": [
        "air pollution",
        "particulate matter (PM)",
        "nitrogen dioxide",
        "chronic kidney disease",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2024-08-20",
      "references": [
        "https://doi.org/10.1186/s12940-024-01080-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11036746"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Pb_brownfields_birth_outcomes_NC",
      "description": "Data is NC birth registry data linked to brownfield sites. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth registry data can be requested through the NCDHHS. Information on brownfields can be accessed through EPA and Clean Up In My Community (CIMC) websites. Format: Datasets are in csv, R, and SAS formats. \n\nThis dataset is associated with the following publication:\nSlawsky, E., A. Weaver, T. Luben, and K. Rappazzo. Lead brownfields and birth defects in North Carolina 2003–2015: A cross-sectional case–control study.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 116(8): E2367, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531668",
      "keyword": [
        "brownfields",
        "lead",
        "residential exposures",
        "Birth Defects",
        "epidemiology",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-13",
      "references": [
        "https://doi.org/10.1002/bdr2.2367",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11328954"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Is gastroschisis associated with county-level socio-environmental quality during pregnancy?",
      "description": "In this study, we used the U.S. Environmental Protection Agency (EPA)’s Environmental Quality Index (EQI) to investigate whether the environmental quality of the county of residence during early pregnancy is associated with gastroschisis in the National Birth Defects Prevention Study (NBDPS). The EQI is an aggregate environmental index incorporating a wide spectrum of environmental data that can be used to generate geographic-based estimates of cumulative environmental exposures across five domains: air, water, land, sociodemographic, and built environment. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Environmental Quality Index is available for download at: https://www.epa.gov/healthresearch/environmental-quality-index-eqi  \r\n\r\nData from the National Birth Defects Prevention Study (NBDPS) and the Birth Defects Study To Evaluate Pregnancy exposureS (BD-STEPS) are not released to the public.Qualified researchers can be granted access to NBDPS and/or BD-STEPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention (CBDRP). Information for access is available at https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: The National Birth Defects Prevention Study (NBDPS) is a population-based, multi-center case–control study designed to investigate environmental and genetic risk factors for major structural birth defects in the U.S. (Reefhuis et al., 2015). Cases of gastroschisis and other eligible birth defects diagnosed among infants, stillbirths, and terminations with dates of delivery on or after October 1, 1997 and estimated dates of delivery on or before December 31, 2011 were identified by active, population-based birth defects surveillance programs in Arkansas (1998–2011; statewide), California (1997–2011; selected counties), Georgia (1997–2011; selected counties), Iowa (1997–2011; statewide), Massachusetts (1997–2011; selected counties), New Jersey (1998–2002; statewide), New York (1997–2002 & 2004–2011; selected counties), North Carolina (2003–2011; selected counties), Texas (1997–2011; selected counties), and Utah (2003– 2011; statewide). \r\nReefhuis, J., Gilboa, S. M., Anderka, M., Browne, M. L., Feldkamp, M. L., Hobbs, C. A., Jenkins, M. M., Langlois, P. H., Newsome, K. B., Olshan, A. F., Romitti, P. A., Shapira, S. K., Shaw, G. M., Tinker, S. C., Honein, M. A., & the National Birth Defects Prevention Study. (2015). The National Birth Defects\r\nPrevention Study: A review of the methods. Birth Defects Research. Part A, Clinical and Molecular Teratology, 103(8), 656–669. https://doi.org/10.1002/bdra.23384 \r\n\r\nEnvironmental Quality Index is available for download at: https://www.epa.gov/healthresearch/environmental-quality-index-eqi. \n\nThis dataset is associated with the following publication:\nKrajewski, A., A. Patel, C. Gray, L. Messer, C. Keeler, P. Langlois, J. Reefhuis, S. Gilboa, M. Werler, G. Shaw, S. Carmichael, W. Nembhard, T. Insaf, M. Feldkamp, K. Conway, D. Lobdell, and T. Desrosiers. Is gastroschisis associated with county-level socio-environmental quality during pregnancy?.   Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Inc., Hoboken, NJ, USA, 115(18): 1758-1769, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531090",
      "keyword": [
        "gastroschisis",
        "environmental quality index",
        "EQI",
        "sociodemographic",
        "environmental quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [],
      "modified": "2023-05-31",
      "references": [
        "https://doi.org/10.1002/bdr2.2250",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10878499"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Monte Carlo draws for diazinon & chlorpyrifos for annual, seasonal, wet, and dry scenarios",
      "description": "Results from Monte Carlo draws of chlorpyrifos and diazinon exposure concentrations for 4 scenarios as described in manuscript. \n\nThis dataset is associated with the following publication:\nOliver, L., S. Sinnathamby, S. Purucker, and S. Raimondo. A probabilistic approach to chronic effects assessments for listed species in a vernal pool case study.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(5): 1654-1666, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530708",
      "keyword": [
        "probabilistic risk assessment",
        "Acute to Chronic Effects ratios",
        "listed species",
        "pesticides"
      ],
      "contactPoint": {
        "fn": "Leah Oliver",
        "hasEmail": "mailto:oliver.leah@epa.gov"
      },
      "distribution": [
        {
          "title": "MC.draws.diaz.wet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.diaz.wet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.diaz.seasonal.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.diaz.seasonal.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.diaz.dry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.diaz.dry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.diaz.annual.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.diaz.annual.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.chlor.wet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.chlor.wet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.chlor.seasonal.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.chlor.seasonal.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.chlor.dry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.chlor.dry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MC.draws.chlor.annual.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/MC.draws.chlor.annual.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-12",
      "references": [
        "https://doi.org/10.1002/ieam.4932"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1530708/documents/Data%20Dictonary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Web-ICE v4.0 models, data, and validation",
      "description": "Web-ICE v4.0 models, data, and validation results that were used in analyses for associated manuscript. Additional data are supplied in Supplemental information that will be published online with the manuscript. \n\nThis dataset is associated with the following publication:\nRaimondo, S., C. Lilavois, and S. Nelson. Uncertainty analysis and updated user guidance for interspecies correlation estimation models and low toxicity compounds.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(5): 1554-1565, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529586",
      "keyword": [
        "Acute Toxicity",
        "interspecies correlation estimation",
        "uncertainty assessment",
        "ecological risk assessment"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub_Raimondo ICE.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529586/Science%20Hub_Raimondo%20ICE.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-11",
      "references": [
        "https://doi.org/10.1002/ieam.4884"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 Surface Cleaning Dataset",
      "description": "Cleaning efficacy study, for surfaces contaminated with SARS-Co-2. \n\nThis dataset is associated with the following publication:\nNelson, S., R. Hardison, R. Limmer, J. Marx, B.M. Taylor, R. James, M. Stewart, S. Lee, W. Calfee, S. Ryan, and M. Howard. Efficacy of Detergent-Based Cleaning and Wiping against SARS-CoV-2 on High Touch Surfaces.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 76(3): ovad033, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527855",
      "keyword": [
        "SARS-CoV-2",
        "surface cleaning agents",
        "Virucide",
        "COVID-19",
        "antimicrobial"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Task 4B SARS overall Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527855/Task%204B%20SARS%20overall%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-15",
      "references": [
        "https://doi.org/10.1093/lambio/ovad033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SSDn metal dataset",
      "description": "The dataset is an excel file that contains meta data, aquatic toxicity data, and summary tables. \n\nThis dataset is associated with the following publication:\nLambert, F., S. Raimondo, and M. Barron. Assessment of a New Approach Method for Grouped Chemical Hazard Estimation: The Toxicity-Normalized Species Sensitivity Distribution (SSDn).   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(12): 8278-8289, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522898",
      "keyword": [
        "aquatic toxicity",
        "extrapolation",
        "new approach methodologies",
        "Aquatic Organism"
      ],
      "contactPoint": {
        "fn": "Mace Barron",
        "hasEmail": "mailto:barron.mace@epa.gov"
      },
      "distribution": [
        {
          "title": "Data File for SSDn Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522898/Data%20File%20for%20SSDn%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-20",
      "references": [
        "https://doi.org/10.1021/acs.est.1c05632"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Cleaning and Disinfection Protocols for Commercial Farm Equipment Following a Foreign Animal Disease Outbreak",
      "description": "Aims: Evaluate the microbiocidal efficacy of a cleaning and disinfection (C&D) treatment using stainless steel coupons applied to three common types of animal mortality transport vehicles when exposed to agricultural conditions.\n\nMethods: Metal test coupons, inoculated with bacteriophage MS2, were affixed to the undercarriage of three types of animal mortality transport vehicles at various locations. Coupons were grimed by maneuvering the test vehicles down a series of wet dirt roads. Coupons were attached and extracted at various points to evaluate C&D performance with and without grime. C&D efficacy using a water-supplied pressure washing system and a dilute sodium hypochlorite (NaOCl) solution was determined by comparing the difference in recovered viable virus between positive control coupons and test coupons. \n\nThis dataset is associated with the following publication:\nBoe, T., W. Calfee, P. Lemieux, S. Serre, A. Abdel-Hady, M. Monge, D. Aslett, B. Akers, and J. Howard. Evaluation of Cleaning and Disinfection Protocols for Commercial Farm Equipment Following a Foreign Animal Disease Outbreak.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 33(4): 379-387, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527712",
      "keyword": [
        "disinfection",
        "Foreign Animal Disease",
        "Farm",
        "Agriculture",
        "decon"
      ],
      "contactPoint": {
        "fn": "Timothy Boe",
        "hasEmail": "mailto:boe.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "MS2 Ag Cleaning Manuscript Data File - clean.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527712/MS2%20Ag%20Cleaning%20Manuscript%20Data%20File%20-%20clean.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-02",
      "references": [
        "https://doi.org/10.1002/rem.21762"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ASPIRE-Health: Results of Field Studies in California Communities - Air Quality",
      "description": "This dataset is the basis for all figures and tables used in the manuscript. A data dictionary is included describing each parameter and the units for those parameters. \n\nThis dataset is associated with the following publication:\nPrathibha, P., M. Turner, L. Wei, A. Davis, K. Vinsonhaler, A. Batchelder, B. McCaughey, J. Carlstad, A. Chelminski, A. Rappold, B. Hassett-Sipple, and A. Holder. Usage and Impact of a Do-It-Yourself Air Cleaner on Residential PM2.5 in a Smoke-Impacted Community.    ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 333: NA, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528715",
      "keyword": [
        "Air purifiers",
        "Wood stove smoke",
        "Wildfire smoke",
        "Infiltration ratio",
        "indoor air quality",
        "Portable air cleaners",
        "Low-cost sensors"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "ASPIRE-Health_Tables_v5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528715/ASPIRE-Health_Tables_v5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-29",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120650"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Storm surge model projections, statistical analysis, and summary data set",
      "description": "All data associated with this data entry are the simulations related storm surge in  three case study locations. These simulated water height, wind and other physical parameters are used for analysis to construct all the figures presented herein. \n\nThis dataset is associated with the following publication:\nLiang, M., Z. Dong, S. Julius, J. Neal, and J. Yang. Storm Surge Projection for Objective-based Risk Management for Climate Change Adaptation along the US Atlantic Coast.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 150(6): e04024014-1, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1518521",
      "keyword": [
        "storm surge",
        "hurricane",
        "inundation",
        "modeling uncertainty",
        "coastal adaptation",
        "Risk Assessment",
        "oceanic climate process"
      ],
      "contactPoint": {
        "fn": "Marissa Liang",
        "hasEmail": "mailto:liang.marissa@epa.gov"
      },
      "distribution": [
        {
          "title": "!T02 Modeling parameters.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21T02%20Modeling%20parameters.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "T01 primary variables and sources.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/T01%20primary%20variables%20and%20sources.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F01 SS schematics.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F01%20SS%20schematics.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F02 SS model and adaptation.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F02%20SS%20model%20and%20adaptation.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F04 Validation results.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F04%20Validation%20results.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F08 Shpk bay MOMs and WS variation.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F08%20Shpk%20bay%20MOMs%20and%20WS%20variation.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F06 Bridgeport MOMs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F06%20Bridgeport%20MOMs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F05 Chesap MOMs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F05%20Chesap%20MOMs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F9 Wind and H dir plot.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F9%20Wind%20and%20H%20dir%20plot.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F07 Matt variables and envelop.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F07%20Matt%20variables%20and%20envelop.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F03 Coastal area and study sites_map.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F03%20Coastal%20area%20and%20study%20sites_map.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "!F10 Matt results and impacts.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/%21F10%20Matt%20results%20and%20impacts.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SLOSH_report_Mattapoisett_Bay.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518521/SLOSH_report_Mattapoisett_Bay.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-04-13",
      "references": [
        "https://doi.org/10.1061/jwrmd5.wreng-5483"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Herder toxicity data",
      "description": "Aquatic toxicity of chemical herding agents to multiple species. \n\nThis dataset is associated with the following publication:\nAlloy, M., D. Sundaravadivelu, B. Moso, P. Meyer, and M. Barron. Comparative Toxicity of Oil Spill Herding Agents to Aquatic Species.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 41(5): 1311-1318, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523017",
      "keyword": [
        "oil",
        "ecotoxicity",
        "emergency response",
        "Ambient Surface Water"
      ],
      "contactPoint": {
        "fn": "Robyn Conmy",
        "hasEmail": "mailto:conmy.robyn@epa.gov"
      },
      "distribution": [
        {
          "title": "HerderPaperDataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523017/HerderPaperDataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-17",
      "references": [
        "https://doi.org/10.1002/etc.5310"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "cmejias18/LaParguera_POC: R Code for the analysis of POC in La Parguera, Puerto Rico",
      "description": "This dataset contains data collected by Carla Mejias Rivera as part of her dissertation research conducted in La Parguera, Puerto Rico. \n\nThis dataset is associated with the following publication:\nMejias-Rivera, C., R.A. Armstrong, S. Balint, E. García-Troche, R.A. McKinney, J.M. Morell, A. Oczkowski, and T.A. Courtney. Localized inshore warming, acidification, and elevated particulate organic matter across a coupled mangrove, seagrass, and coral reef ecosystem in La Parguera, Puerto Rico.   CORAL REEFS. Springer, New York, NY, USA, 42: 1313-1327, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530874",
      "keyword": [
        "nitrogen",
        "coral",
        "stable isotope",
        "climate change",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/8364926",
          "accessURL": "https://zenodo.org/records/8364926",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-20",
      "references": [
        "https://doi.org/10.1007/s00338-023-02435-y"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wood Predictors in Neotropical Streams: Assessing the Effects of Regional and Local Controls in Amazon and Cerrado Catchments.",
      "description": "Field and GIS data for Brazilian streams use for journal article:\nWood Predictors in Neotropical Streams: Assessing the Effects of Regional and Local Controls in Amazon and Cerrado Catchments. \n\nThis dataset is associated with the following publication:\nSaraiva, S.O., P. Kaufmann, I. Rutherfurd, C.G. Leal, R.P. Leitao, D.R. Macedo, and P.S. Pompeu. Wood Predictors in Neotropical Streams: Assessing the Effects of Regional and Local Controls in Amazon and Cerrado Catchments..   Earth Surface Processes and Landforms. John Wiley & Sons Incorporated, New York, NY, USA, 48(3): 613-630, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531713",
      "keyword": [
        "contemporay wood regime",
        "channel features",
        "landscape scale",
        "wood buget"
      ],
      "contactPoint": {
        "fn": "Philip Kaufmann",
        "hasEmail": "mailto:kaufmann.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "ORD-047540 final tables.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531713/ORD-047540%20final%20tables.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ORD-047540 final supplemental.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531713/ORD-047540%20final%20supplemental.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-11",
      "references": [
        "https://doi.org/10.1002/esp.5506"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iodide_CIMS_in_Edison_NJ_2023",
      "description": "Data file: (CIMSdata.txt) 36.942 MB txt file \nData dictionary: (data dictionary.txt) 3 kB txt file\nData for construction of Diel plot in manuscript (DielPlotData.txt) 5 kB txt file\nMeteorological data (Met Data.txt) from nearby PAMS site @ Rutgers Gardens, NJ (metData.txt) 1.042 kB txt file. \n\nThis dataset is associated with the following publication:\nMattila, J., and J. Offenberg. Measuring short-chain per- and polyfluoroalkyl substances in Central New Jersey air using chemical ionization mass spectrometry.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 74(8): 531-539, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530551",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "air pollutant",
        "CIMS",
        "Air Deposition"
      ],
      "contactPoint": {
        "fn": "John Offenberg",
        "hasEmail": "mailto:offenberg.john@epa.gov"
      },
      "distribution": [
        {
          "title": "MetData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530551/MetData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DielPlotData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530551/DielPlotData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530551/Data%20dictionary.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CIMSData.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530551/CIMSData.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-13",
      "references": [
        "https://doi.org/10.1080/10962247.2024.2366491"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: An Updated Modeling Framework to Simulate Los Angeles Air Quality. Part 1: Model Development, Evaluation, and Source Apportionment",
      "description": "Links are provided to the US EPA CMAQ code, the US EPA VCPy emission model, and the exact CMAQ model code and scripts used in this work. \n\nThis dataset is associated with the following publication:\nPennington, E., Y. Wang, B. Schulze, K. Seltzer, J. Yang, B. Zhao, Z. Jiang, H. Shi, M. Venecek, D. Chau, B. Murphy, C. Kenseth, R. Ward, H. Pye, and J. Seinfeld. An Updated Modeling Framework to Simulate Los Angeles Air Quality. Part 1: Model Development, Evaluation, and Source Apportionment.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 24: 2345-2363, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528780",
      "keyword": [
        "COVID-19",
        "CMAQ",
        "nitrogen oxides",
        "Ozone",
        "Los Angeles"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/VCPy",
          "accessURL": "https://github.com/USEPA/VCPy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.25740/qc346hv0119",
          "accessURL": "https://doi.org/10.25740/qc346hv0119",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-30",
      "references": [
        "https://doi.org/10.5194/acp-24-2345-2024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Anthropogenic Secondary Organic Aerosol and Ozone Production from Asphalt-Related Emissions (v1.0)",
      "description": "Data includes links to CMAQv5.4 code and a data archive with data used in figure generation. \n\nThis dataset is associated with the following publication:\nSeltzer, K., V. Rao, H. Pye, B. Murphy, B. Place, P. Khare, D. Gentner, C. Allen, D. Cooley, R. Mason, and M. Houyoux. Anthropogenic Secondary Organic Aerosol and Ozone Production from Asphalt-Related Emissions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 3(8): 1221-1230, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528770",
      "keyword": [
        "secondary organic aerosol (SOA)",
        "reactive organic carbon (ROC)",
        "Asphalt",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1531683",
          "accessURL": "https://doi.org/10.23719/1531683",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-30",
      "references": [
        "https://doi.org/10.1039/d3ea00066d",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11353539"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Characterizing spatial information loss for wastewater-based surveillance using crAssphage: effect of decay, temperature, and population mobility",
      "description": "Two .xlsx files \"crAssphage_main_v1.xlsx\" and \"ShedData_v1.xlsx\".  Each contains metadata defining the fields in a separate tabs.  crAssphage_main_v1 contains data pertaining to the responses and the Find, Inform, and Test (FIT) framework.  ShedDate_v1 contains data pertaining to the census block groups which feeds into the model. \n\nThis dataset is associated with the following publication:\nWiesner-Friedman, C., N. Brinkman, E. Wheaton, M. Nagarkar, C. Hart, S. Keely, E. Varughese, J. Garland, P. Klaver, C. Turner, J. Barton, M. Serre, and M. Jahne. Characterizing Spatial Information Loss for Wastewater Surveillance Using crAssphage: Effect of Decay, Temperature, and Population Mobility.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(49): 20453-20974, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528054",
      "keyword": [
        "wastewater",
        "SWMM",
        "CrAssphage",
        "land use regression",
        "Microbial Source Tracking"
      ],
      "contactPoint": {
        "fn": "Corinne Wiesner-Friedman",
        "hasEmail": "mailto:wiesnerfriedman.corinne@epa.gov"
      },
      "distribution": [
        {
          "title": "ShedData_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528054/ShedData_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "crAssphage_main_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528054/crAssphage_main_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-27",
      "references": [
        "https://doi.org/10.1021/acs.est.3c05587"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection\"",
      "description": "Dataset for \"Water reuse treatment requirements based on infection vs. health burden can diverge for enteric pathogens with dose-dependent probability of illness given infection\".  Includes fit-for-purpose pathogen log-reduction targets (LRTs) for onsite non-potable use of different source waters based on selected dose-response and health benchmark assumptions. \n\nThis dataset is associated with the following publication:\nSchoen, M., J. Garland, J. Soller, S. Thimons, and M. Jahne. Onsite Nonpotable Water Systems Pathogen Treatment Targets: A Comparison of Infection and Disability-Adjusted Life Years (DALYs)Risk Benchmark Approaches.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(26): 9427-9894, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528464",
      "keyword": [
        "non-potable",
        "dose-response",
        "reuse",
        "norovirus",
        "daly"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528464/Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0023-01-25",
      "references": [
        "https://doi.org/10.1021/acs.est.3c09794"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ALPACA-overview-paper-metadata",
      "description": "This is metadata for the figures from an overview paper for the ALPACA Fairbanks winter air quality study. The paper includes only (non-EPA funded/generated) data to support some early analysis and drivers of the field study, but it is expected that the bulk of the data from the study will be analyzed and published by individual PIs in the (near) future. Note that final data from the study will be available to the scientific community through the ALPACA data portal hosted by Arcticdata.io (https://arcticdata.io/catalog/portals/ALPACA). This dataset is not publicly accessible because: The ALPACA overview paper includes (non-EPA funded/generated) data to support some early analysis and drivers of the field study, but it is expected that the bulk of the data from the study will be analyzed and published by individual PIs in the (near) future. It can be accessed through the following means: Final data from the field study will be available to the scientific community through the ALPACA data portal hosted by Arcticdata.io (https://arcticdata.io/catalog/portals/ALPACA). Format: Here we include metadata for overview paper figures (including data definitions and units). \n\nThis dataset is associated with the following publication:\nSimpson, W., J. Mao, G. Fochesatto, K. Law, P. DeCarlo, J. Schmale, K. Pratt, S. Arnold, J. Stutz, J. Dibb, J. Creamean, R. Weber, B. Williams, B. Alexander, L. Hu, R. Yokelson, M. Shiraiwa, S. Decesari, C. Anastasio, B. D'Anna, R. Gilliam, A. Nenes, J. St. Clair, B. Trost, J. Flynn, J. Savarino, L. Conner, N. Kettle, K. Heeringa, S. Albertin, A. Baccarini, B. Barret, M. Battaglia, S. Bekki, T. Brado, N. Brett, D. Brus, J. Campbell, M. Cesler-Maloney, S. Cooperdock, K. Cysneiros de Carvalho, H. Delbarre, P. DeMott, C. Dennehy, E. Dieudonné, K. Dingilian, A. Donateo, K. Doulgeris, K. Edwards, K. Fahey, T. Fang, F. Guo, L. Heinlein, A. Holen, D. Huff, A. Ijaz, S. Johnson, S. Kapur, D. Ketcherside, E. Levin, E. Lill, A. Moon, T. Onishi, G. Pappaccogli, R. Perkins, R. Pohorsky, J. Raut, F. Ravetta, T. Roberts, E. Robinson, F. Scoto, V. Selimovic, M. Sunday, B. Temime-Roussel, X. Tian, J. Wu, and Y. Yang. OVERVIEW OF THE ALASKAN LAYERED POLLUTION AND CHEMICAL ANALYSIS (ALPACA) FIELD EXPERIMENT.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 1(3): 200-222, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529839",
      "keyword": [
        "atmospheric chemistry",
        "Arctic",
        "Alaska",
        "air pollution",
        "Aerosol Particles",
        "Nitrogen and Co-pollutants",
        "climate change",
        "cold climate"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-16",
      "references": [
        "https://doi.org/10.1021/acsestair.3c00076",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10928659"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1529839/documents/data-alpaca-overview-paper.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Unit Process LRV Database",
      "description": "Database of pathogen log reduction values (LRV) and credits (LRC) reported in the literature for water reuse unit processes as a function of study design and operational characteristics. \n\nThis dataset is associated with the following publication:\nArden, S., K. McGaughy , J. Philips, L. Hills, E. Chiang, S. Dumler, X. Ma, M. Jahne, and J. Garland. A unit process log reduction database for water reuse practitioners.   Water Research X. Elsevier B.V., Amsterdam,  NETHERLANDS, 23: 100226, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529754",
      "keyword": [
        "wastewater treatment",
        "water reuse",
        "log reduction",
        "Pathogen"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Arden_LRVLRC Database_SI_051424_corrected.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529754/Arden_LRVLRC%20Database_SI_051424_corrected.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-29",
      "references": [
        "https://doi.org/10.1016/j.wroa.2024.100226",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101967"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2004-2017 Geospatial Dataset of Wild and Prescribed Fire Activity Over the Conterminous United States",
      "description": "Wildland fire event polygons for 2004-2017 reconciled in SmartFire 2 for the EPA Air Quality Times Series (EQUATES) modeling project (https://doi.org/10.1016/j.dib.2023.109022). These event polygons represent a combination of properties from a collection of remotely sensed and ground-based fire activity datasets.\n\nThe primary underlying fire activity datasets for the fire event polygons are the Hazard Mapping System (HMS) remote sense fire product (https://www.ospo.noaa.gov/Products/land/hms.html), SIT-ICS/209 Incident Reports (https://www.wildfire.gov/application/sit209), GeoMAC Fire Event polygons (https://data-nifc.opendata.arcgis.com/datasets/nifc::historic-perimeters-combined-2000-2018-geomac/about), and the Monitoring Trends in Burn Severity (MTBS) burn scar event perimeters (https://www.mtbs.gov/direct-download).\n\nThis dataset includes events identified as over wildland and does not contain biomass burning events over agricultural areas, such as crop residue field burns. Additionally, certain grass fires, such as the annual prescribed fires in the Flint Hills region, have been removed for inclusion in a separate processing stream.\n\nSome minor updates have been made to the dataset since the publishing of the EQUATES emission inventories including removal of known errors related to issues in the underlying activity. \n\nThis dataset is associated with the following publication:\nBeidler, J., G. Pouliot, and K. Foley. 2004-2017 Geospatial Dataset of Wild and Prescribed Fire Activity Over the Conterminous United States.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 56: 110856, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531717",
      "keyword": [
        "Land management",
        "air quality",
        "Wildland Fire",
        "Prescribed Fires"
      ],
      "contactPoint": {
        "fn": "James Beidler",
        "hasEmail": "mailto:beidler.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.15139/S3/PCXTMU",
          "accessURL": "https://doi.org/10.15139/S3/PCXTMU",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-12",
      "references": [
        "https://doi.org/10.1016/j.dib.2024.110856"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Generic Exposure Assessment of End-of-Life Material Management in Additive Manufacturing",
      "description": "As described in the README.md file, the GitHub repository https://github.com/gruizmer/Generic_Exposure_Assessment_EoL_AdditiveManufacturing contains the data supporting the generic exposure assessment associated with the management of end-of-life (EoL) materials following additive manufacturing. This repository contains an Excel spreadsheet used to calculate material flow of materials exiting additive manufacturing. Parameters and assumptions are listed in the “EoL Material Flow Analysis” Tab. All references leading to the necessary parameters and assumptions are listed in the “Reference ID” tab. The identity of EoL materials is available as Table S1 in the word information document titled “Chea et al - GS AM EoL Analysis_SupportingInfo”. \n\nThis dataset is associated with the following publication:\nChea, J.D., G.J. Ruiz-Mercado, R.L. Smith, D.E. Meyer, M.A. Gonzalez, and W.M. Barrett. Material Flow Analysis and Occupational Exposure Assessment in Additive Manufacturing End-of-Life Material Management.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(20): 8607-9012, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529746",
      "keyword": [
        "End-of-life",
        "Environmental Releases",
        "Additive Manufacturing",
        "Generic Exposure Assessment"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/gruizmer/Generic_Exposure_Assessment_EoL_AdditiveManufacturing",
          "accessURL": "https://github.com/gruizmer/Generic_Exposure_Assessment_EoL_AdditiveManufacturing",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-28",
      "references": [
        "https://doi.org/10.1021/acs.est.4c01562",
        "https://pasteur.epa.gov/uploads/10.23719/1529746/documents/Chea%20et%20al%20-%20GS%20AM%20EoL%20Analysis_SupportingInfo.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1529746/documents/AM%20EoL%20-%20Material%20Flow%20Analysis%20for%20Exposure%20Assessment_9-27-23.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data entry for PCB concentrations in riparian spiders (Tetragnathidae) consistently reflect concentrations in water and aquatic macroinvertebrates, but not sediment: Analysis of a seven-year field study",
      "description": "Five years of data over a seven-year investigation at a PCB contaminated-sediment site to investigate if concentrations in spiders were consistently correlated with concentrations in sediment, water, and aquatic macroinvertebrates. \n\nThis dataset is associated with the following publication:\nOtter, R.R., M.A. Mills, K.M. Fritz, J.M. Lazorchak, D.P. White, G.B. Beaubien, and D.M. Walters. PCB concentrations in riparian spiders (Tetragnathidae) consistently reflect concentrations in water and aquatic macroinvertebrates, but not sediment: Analysis of a seven-year field study.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 912: 169230, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531025",
      "keyword": [
        "remediation assessment",
        "Remedy effectiveness",
        "Great Lakes Area of Concern",
        "PCBs",
        "Spider",
        "bioaccumulation",
        "food web"
      ],
      "contactPoint": {
        "fn": "Marc Mills",
        "hasEmail": "mailto:mills.marc@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/6570e8aed34e952b2273f0a0",
          "accessURL": "https://www.sciencebase.gov/catalog/item/6570e8aed34e952b2273f0a0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.169230"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for deposition of reactive nitrogen pollutants in UK",
      "description": "This paper reviews the state of science with respect to measurements and modeling of atmospheric deposition in complex terrain with a focus on the UK.  No EPA data were included in this paper. This dataset is not publicly accessible because: The data creation occurred outside EPA, it belongs to Dr. Nicholas Cowan. It can be accessed through the following means: The data can be accessed by contacting the lead author of the paper, Dr. Nicholas Cowan at nicwan11@ceh.ac.uk. Format: Data can be accessed by contacting the lead author, Dr. Nicholas Cowan at nicwan11@ceh.ac.uk. \n\nThis dataset is associated with the following publication:\nCowan, N., E. Nemitz, J. Walker, D. Fowler, J. Finnigan, H. Webster, P. Levy, M. Twigg, Y. Tang, N. Bachiller-Jareno, P. Trembath, R. Kinnersley, and C. Braban. Review of methods for assessing deposition of reactive nitrogen pollutants across complex terrain with focus on the UK.   Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge,  UK, (5): 829-851, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524704",
      "keyword": [
        "wet deposition",
        "complex terrain",
        "atmospheric deposition",
        "Nitrogen and Co-pollutants",
        "Dry Deposition"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [],
      "modified": "2022-08-08",
      "references": [
        "https://doi.org/10.1039/d2ea00012a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diatom and Environmental Data",
      "description": "Raw data associated with this research. \n\nThis dataset is associated with the following publication:\nYuan, L., R. Mitchell, E. Pilgrim, and N. Smucker. Inferences based on diatom compositions improve estimates of nutrient concentrations in streams.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 952: 176032, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531006",
      "keyword": [
        "bioassessment",
        "diatoms",
        "DNA metabarcoding",
        "indicators",
        "nitrogen",
        "nutrients",
        "phosphorus",
        "rivers",
        "streams"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Diatom inference manuscript Environmental Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531006/Diatom%20inference%20manuscript%20Environmental%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Diatom inference manuscript Diatom ASV Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531006/Diatom%20inference%20manuscript%20Diatom%20ASV%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-17",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176032"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GLIMPSE-to-COBRA bridge spreadsheet",
      "description": "Spreadsheet that translates EPA GLIMPSE/GCAM emission outputs into base and control scenario information for use in EPA desktop COBRA 5.0/5.1. Spreadsheet includes Readme, Instructions, customizable Crosswalk, 2023 emissions data from COBRA, and pivot tables and other calculations necessary to create the COBRA inputs. This updated version (v2024.11.14) includes several modifications to the crosswalk to correctly match several industrial categories. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531712",
      "keyword": [
        "climate change",
        "Nitrogen and Co-pollutants",
        "air pollution",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "GLIMPSE-to-COBRA-bridge.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531712/GLIMPSE-to-COBRA-bridge.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEPA National Aquatic Resource National Rivers and Streams Assessment 2008–2009 (data and metadata Survey files); USEPA National Aquatic Resource National Rivers and Streams Assessment 2013–2014 (data and metadata Survey files).",
      "description": "USEPA National Aquatic Resource Surveys 2008-9 and 2013-14 Physical Habitat and Landscape data for Rivers and Streams (NRSA).\nDaily flow and peak flow from the National Water Information System (https://waterdata.usgs.gov/nwis). \n\nThis dataset is associated with the following publication:\nKaufmann, P., D. Carlisle, J. Faustini, M. Weber, A. Herlihy, R. Hill, A. Kasprak, and S. Paulsen. Quantifying form resistance is essential for estimating summer low and bankfull flow from stream survey channel morphology.   Geomorphology. Elsevier BV, AMSTERDAM,  NETHERLANDS, 466: 109360, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531714",
      "keyword": [
        "streamflow",
        "surface water",
        "modeling",
        "hydrology",
        "NARS (National Aquatic Resource Survey)"
      ],
      "contactPoint": {
        "fn": "Philip Kaufmann",
        "hasEmail": "mailto:kaufmann.phil@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis",
          "accessURL": "https://waterdata.usgs.gov/nwis",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-01",
      "references": [
        "https://doi.org/10.1016/j.geomorph.2024.109360"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrologic and Water Quality System HUC2 regions data",
      "description": "The study results and data used and produced in this study along with developed R-programming based parallel processing calibration approach are available through Texas Data Repository at https://doi.org/10.18738/T8/A9X5ET (Srinivasan et al., 2023). The data also includes the necessary information to reproduce the figures and tables presented in the study.\nThe calibrated parameter values are also available through the HAWQS (Hydrologic and Water Quality System; https://hawqs.tamu.edu/#/). Although this manuscript covers only phase I (HUC2-02 Mid-Atlantic Region) results of the study, calibration data for all 18 HUC2 regions across CONUS will be available through the Texas Data Repository and HAWQS as this national scale calibration project progresses. Calibration parameter sets and watershed calibrations statistics for HUC2 regions 01 to 12 are available through the TDR and HAWQS. For additional information, please contact the corresponding author. \n\nThis dataset is associated with the following publication:\nBawa, A., K. Mendoza, R. Srinivasan, R. Parmar, D. Smith, K. Wolfe, J. Johnston, and J. Corona. Calibration using R-programming and parallel processing at the HUC12 subbasin scale in the Mid-Atlantic region: Development of national SWAT hydrologic calibration.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   176: 106019, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531132",
      "keyword": [
        "HAWQS",
        "SWAT-CUP",
        "modeling",
        "calibration",
        "hydrology"
      ],
      "contactPoint": {
        "fn": "Rajbir Parmar",
        "hasEmail": "mailto:parmar.rajbir@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hawqs.tamu.edu/#/",
          "accessURL": "https://hawqs.tamu.edu/#/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gaftp.epa.gov/exposure/HAWQS_Calibration/Region02_Calibrations_Using_SWAT-CUP_Method/",
          "accessURL": "https://gaftp.epa.gov/exposure/HAWQS_Calibration/Region02_Calibrations_Using_SWAT-CUP_Method/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-12",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2024.106019",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11234919"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zinc x-ray absorption spectroscopy (XAS) data and speciation modelling by linear combination fitting (LCF) with standard spectra",
      "description": "Soil samples were collected from the remediated site according to methods included in the manuscript. Soil samples were prepared by grinding in mortar and pestle and pressing into a 7-mm diameter pellet for X-ray absorption measurement. Sample pellets were measured at Argonne National Laboratory's Advanced Photon Source (APS) in Chicago, IL. X-ray fluorescence was collected while scanning x-ray energy belowe and above the Zinc (Zn) K-edge (9659 eV). Spectra were energy calibrated, background subtracted and spectra modelled in the Athena module of the Demeter software package. Linear combination of standard spectra of Zn species were used to model sample spectra. Model data is in this attached dataset. \n\nThis dataset is associated with the following publication:\nIppolito, J.A., L. Li, T. Banet, J.E. Brummer, C. Buchanan, A.R. Betts, K. Scheckel, N. Basta, and S.L. Brown. Soil health as a proxy for long-term reclamation success of metal-contaminated mine tailings using lime and biosolids.   Soil & Environmental Health. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(3): 100096, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531727",
      "keyword": [
        "zinc",
        "X-ray Absorption Spectroscopy",
        "X-Ray Absorption Near Edge Structure Spectroscopy",
        "contaminated soil",
        "reclamation",
        "Soil Management Assessment Framework",
        "Soil Health",
        "plant health",
        "alluvial mine tailings",
        "Animal Health"
      ],
      "contactPoint": {
        "fn": "Aaron Betts",
        "hasEmail": "mailto:betts.aaron@epa.gov"
      },
      "distribution": [
        {
          "title": "Zn_XAS_data_LCF_models.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531727/Zn_XAS_data_LCF_models.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCF_EXAFS_Table_and_Analysis_Parameters_Zn paper.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531727/LCF_EXAFS_Table_and_Analysis_Parameters_Zn%20paper.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-17",
      "references": [
        "https://doi.org/10.1016/j.seh.2024.100096"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A biochar selection method for remediating heavy metal contaminated mine tailings",
      "description": "Soil chemistry, soil extracts, biochar challenge data. This dataset is not publicly accessible because: First author organization owns the data. It can be accessed through the following means: Contact first author. Format: Excel Spreadsheet. \n\nThis dataset is associated with the following publication:\nIppolito, J., T. Ducey, K.A. Spokas, K. Trippe, and M. Johnson. A biochar selection method for remediating heavy metal contaminated mine tailings.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY,  05621-9, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531716",
      "keyword": [
        "Superfund",
        "SPLP",
        "metal contamination",
        "remediation",
        "Soils",
        "biochar"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-15",
      "references": [
        "https://doi.org/10.1007/s13762-024-05621-9"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Simulated Glyphosate Drift to Native Prairie Plants and Canola-Compatible Brassicaceae Species of North Dakota, United States",
      "description": "Greenhouse, chemistry, and glyphosphate data from the study. \n\nThis dataset is associated with the following publication:\nOlszyk, D., T. Pfleeger, M. Nash, and M. Plocher. Effects of Simulated Glyphosate Drift to Native Prairie Plants and Canola-Compatible Brassicaceae Species of North Dakota, United States.   Crop Protection. Elsevier B.V., Amsterdam,  NETHERLANDS, 182: 106692, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529947",
      "keyword": [
        "glyphosate",
        "dicamba",
        "Herbicide",
        "ecotoxicology",
        "Non-target plants"
      ],
      "contactPoint": {
        "fn": "David Olszyk",
        "hasEmail": "mailto:olszyk.david@epa.gov"
      },
      "distribution": [
        {
          "title": "ND_Plants_Treatment_Chemistry_120122.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529947/ND_Plants_Treatment_Chemistry_120122.xls",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Greenhouse Climate Dates 12 05 22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529947/Greenhouse%20Climate%20Dates%2012%2005%2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ND_GLyphosate_All_Final_12_18_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529947/ND_GLyphosate_All_Final_12_18_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-13",
      "references": [
        "https://doi.org/10.1016/j.cropro.2024.106692"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Diatom and environmental data",
      "description": "These raw data associated with this research were collected as part of the United States Environmental Protection Agency's 2018-2019 National Rivers and Streams Assessment (NRSA). The worksheet \"Water chemistry data\" includes environmental variables examined in this study including total phosphorus (TP), total nitrogen (TN), conductivity, pH, and ecoregion. The worksheet \"Diatom ASVs\" includes relative abundances of gene sequence reads for each amplicon sequence variant (ASV), which are referred to as taxa. \n\nThis dataset is associated with the following publication:\nSmucker, N., E. Pilgrim, C. Nietch, L. Gains-Germain, C. Carpenter, J. Darling, L. Yuan, R. Mitchell, and A. Pollard. Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 939: 173502, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530323",
      "keyword": [
        "indicators",
        "rivers",
        "pH",
        "diatoms",
        "streams",
        "DNA metabarcoding",
        "phosphorus",
        "Algae",
        "bioassessment",
        "biomonitoring",
        "nitrogen",
        "nutrients",
        "conductivity"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA1819_water_chemistry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530323/NRSA1819_water_chemistry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA1819_Diatom_rbcL_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530323/NRSA1819_Diatom_rbcL_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-16",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.173502",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11247516"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Housing, wildfire smoke, and allostatic load in mice_complete data",
      "description": "Raw data used to calculate means and perform statistical analysis for the figures presented in Fiamingo et al. manuscript - Presents cardiopulmonary, biological and other related data. \n\nThis dataset is associated with the following publications:\nFiamingo, M., A. Bailey, S. Toler, K. Lee, W. Oshiro, B. Yoo, Q. Krantz, P. Evansky, D. Davies, M. Gilmour, A. Farraj, i. Jaspers, and M. Hazari. Enriched housing differentially alters allostatic load and cardiopulmonary responses to wildfire-related smoke in male and female mice..   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 187(14): 561-578, (2024).\nHarmon, M., M. Fiamimigo, S. Toler, K. Lee, Y. Kim, B. Martin, I. Gilmour, A. Farraj, and M. Hazari. The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice..   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 36(6): 355-366, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529982",
      "keyword": [
        "wildfire",
        "smoke",
        "mouse",
        "Housing",
        "cardiovascular",
        "allostatic load",
        "Environmental Justice",
        "Children's Environmental Health",
        "climate change",
        "eucalyptus wildfire smoke",
        "Nitrogen and Co-pollutants",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "ST_21_1_complete data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529982/ST_21_1_complete%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-28",
      "references": [
        "https://doi.org/10.1080/15287394.2024.2346582",
        "https://doi.org/10.1080/08958378.2024.2352748",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11167957"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The effect of enriched versus inadequate housing conditions on eucalyptus smoke-induced cardiovascular dysfunction in mice_Complete dataset",
      "description": "This dataset represents the results of a study investigating the cardiopulmonary effects of enriched versus depleted housing in mice and the response to eucalyptus wildfire smoke. \n\nThis dataset is associated with the following publication:\nHarmon, M., M. Fiamimigo, S. Toler, K. Lee, Y. Kim, B. Martin, I. Gilmour, A. Farraj, and M. Hazari. The effect of enriched versus depleted housing on eucalyptus smoke-induced cardiovascular dysfunction in mice..   INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 36(6): 355-366, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528483",
      "keyword": [
        "Housing",
        "wildfire",
        "eucalyptus smoke",
        "cardiovascular disease",
        "enrichment"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "MH_18_1 complete data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528483/MH_18_1%20complete%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-30",
      "references": [
        "https://doi.org/10.1080/08958378.2024.2352748"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Craniometric Determinants of FFE_Ver1_2023",
      "description": "This data was collected and used to generate the tables and figures for the associated research product. This dataset includes the craniometrics measurements and fitted filtration efficiencies for all 100 subjects. Fitted filtration efficiencies are reported as overall means and standard deviations for each of the nine mask testing conditions outlined in the associated publication. \n\nThis dataset is associated with the following publication:\nGriffin, J., E. Mcinroe, E. Pennington, W. Steinhardt, H. Chen, S. Prince, and J. Samet. Craniometric Determinants of the Fitted Filtration Efficiency of Disposable Masks.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 12: 1444411, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531708",
      "keyword": [
        "craniofacial morphology",
        "fitted filtration efficiency",
        "disposable respiratory protection",
        "air quality emergencies"
      ],
      "contactPoint": {
        "fn": "Jacob Griffin",
        "hasEmail": "mailto:griffin.jacob@epa.gov"
      },
      "distribution": [
        {
          "title": "science_hub_total_table_Craniometrics.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531708/science_hub_total_table_Craniometrics.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-30",
      "references": [
        "https://doi.org/10.3389/fpubh.2024.1444411",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11368739"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Saavedra et al.",
      "description": "Data in each figure of the publication are provided in different tabs of the excel spreadsheet. There were multiple concentrations tested, which are listed in the rows of the sheet. Each column is a different replicate. \n\nThis dataset is associated with the following publication:\nSaavedra, L., K. Wallace, T. Freudenrich, M. Mall, W. Mundy, J. Davila, T. Shafer, M. Wernig, and D. Haag. Comparison of Acute Effects of Neurotoxic Compounds on Network Activity in Human and Rodent Neural Cultures.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  180(2): 295-312, (2021).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:095"
      ],
      "identifier": "https://doi.org/10.23719/1518437",
      "keyword": [
        "screening",
        "Microelectrode array",
        "neurotoxicity",
        "human"
      ],
      "contactPoint": {
        "fn": "Timothy Shafer",
        "hasEmail": "mailto:shafer.tim@epa.gov"
      },
      "distribution": [
        {
          "title": "MEA data_figures_normalized.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518437/MEA%20data_figures_normalized.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-03-18",
      "references": [
        "https://doi.org/10.1093/toxsci/kfab008"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set associated with 2018 Missoula study",
      "description": "Data is associated with figures shown in Missoula 2018 study. Portions of this dataset are inaccessible because: Data file uploaded. They can be accessed through the following means: Data file uploaded. Format: Data file uploaded. \n\nThis dataset is associated with the following publication:\nJaoui, M., S. Urbanski, R. Long, and M. Landis. Molecular composition and the impact of fuel moisture content on fresh primary organic aerosol emissions during laboratory combustion of ponderosa pine needles.   ENVIRONMENTAL CHEMISTRY. CSIRO Publishing, Collingwood Victoria,  AUSTRALIA, 20(8): 319-338, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527910",
      "keyword": [
        "oxygenated organic compounds",
        "Wildfires",
        "organic aerosol",
        "PM2.5.",
        "ponderosa pine needles",
        "silylation",
        "Sugars",
        "wildland fire smoke"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "Missoula 2018_paper_STICS_1-12-24_MJaoui.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527910/Missoula%202018_paper_STICS_1-12-24_MJaoui.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-25",
      "references": [
        "https://doi.org/10.1071/en23013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Legionella pneumophila inactivation results using germicidal UV-LEDs",
      "description": "These data include all the raw data in three Excel files. The first Excel file entitled \"UV-LED Data\" contains several datasheets was prepared separately for each test run with three different strains of Legionella pneumophila. The second and third files \"Linear Regression Data\" and \"ANCOVA Data\" were prepared for each strain of L. pneumophila to calculate statistics such as regression analysis and analysis of covariance, respectively. \n\nThis dataset is associated with the following publication:\nOh, Y., J. Sangsanont, H. Woo, L. Boczek, K. Linden, and H. Ryu. Inactivation efficacy and mechanisms of wavelength-specific UV sources for various strains of Legionella pneumophila serogroup 1.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 907: 167781, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531736",
      "keyword": [
        "multiple wavelength UV-LEDs",
        "electrical energy efficiency",
        "inactivation mechanisms",
        "opportunistic premise plumbing pathogens",
        "inactivation kinetics"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "UV-LED Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531736/UV-LED%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Linear Regression Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531736/Linear%20Regression%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANCOVA Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531736/ANCOVA%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-18",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167781"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Direct inactivation of aerosolized viral indicators on the electrically heatable face masksces",
      "description": "This excel file includes raw data obtained from all virus inactivation experiments. Recorded individual experiment in a separate datasheet. There are two summary spreadsheets as well. Portions of this dataset are inaccessible because: Non-microbial experiments for this study were performed in University of Cincinnati. Professor Ryan Chae in Univ of Cincinnati has managed the project and owns those data. They can be accessed through the following means: Directly contact Professor Ryan Chae. Format: Scanning electron microscope (SEM) images and IR images of electrically heatable masks. \n\nThis dataset is associated with the following publication:\nKim , H., Y. Fang, Y. Oh, V. Shanov, H. Ryu, and S. Chae. Engineered Electrically Heatable Face Masks for Direct Inactivation of Aerosolized Viruses on the Mask Surfaces.   ACS ES&T Engineering. American Chemical Society, Washington, DC, USA, 4(2): 401–408, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531738",
      "keyword": [
        "Joule heating",
        "electrically heatable carbon veil layer",
        "reusable face mask"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "20220714_NSF_Heatable_Mask_MS2_YO.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531738/20220714_NSF_Heatable_Mask_MS2_YO.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-18",
      "references": [
        "https://doi.org/10.1021/acsestengg.3c00365"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Structural Malformations in Brain Accompany Developmental Perchlorate Exposure in Rodents",
      "description": "Structural defects in the rat brain associated with maternal exposure to ammonium perchlorate accompanied reductions in circulating levels of thyroid hormone in the dam and the fetus. The magnitude of the effect was small relative to other thyroid hormone disruptors, but his was due to the lack of sufficient bioavailability of perchlorate to the nursing neonate. When pups were administered perchlorate directly for the first 6 days of life or if perchlorate was administered under conditions of maternal dietary iodine deficiency, very large brain malformations were induced. \n\nThis dataset is associated with the following publication:\nGilbert, M., K. O'Shaughnessy, K. Bell, and J. Ford. Structural Malformations in the Neonatal Rat Brain Accompany Developmental Exposure to Ammonium Perchlorate.   Toxics. MDPI, Basel,  SWITZERLAND, 11(12): 1027, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531741",
      "keyword": [
        "developmental neurotoxicity",
        "endocrine disrupting chemicals",
        "Adverse Outcome Pathways (AOPs)",
        "thyroid",
        "in vivo",
        "Environmental Justice",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub Dev DirectDose IDPer PVH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531741/ScienceHub%20Dev%20DirectDose%20IDPer%20PVH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-19",
      "references": [
        "https://doi.org/10.3390/toxics11121027",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10747616"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reef structure of the Florida Reef Tract for the period 2005-2020",
      "description": "This study was performed to document changes in reef structure over time (2005-2020) and space (Ft. Lauderdale to Dry Tortugas) using demographic, or colony-based, measures of colony size and shape collected by the Florida Reef Resilience Program.  The total number and combined size of colonies across the entire region were calculated from this robust dataset as were estimates of services provided for fish habitat and carbonate storage.  Data from 2005 to 2020 were analyzed to describe the abundance, size, and morphological complexity of stony coral colonies forming the biogenic reef. Colony height, footprint, surface area, and volume summed for 6016 transects were used to describe reef structure and averages were used to characterize the components that contributed to the structure. Nearly 150,000 colonies representing 49 species were reported during this period. \n\nThis dataset is associated with the following publication:\nFisher, W. Reef structure of the Florida Reef Tract for the period 2005-2020.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 195(10): 1242, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531728",
      "keyword": [
        "Florida Reef Tract",
        "demographics",
        "coral size",
        "Florida Reef Resilience Program",
        "coral"
      ],
      "contactPoint": {
        "fn": "William Fisher",
        "hasEmail": "mailto:fisher.william@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1007/s10661-023-11819-0",
          "accessURL": "https://doi.org/10.1007/s10661-023-11819-0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://ocean.floridamarine.org/FRRP/",
          "accessURL": "https://ocean.floridamarine.org/FRRP/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-13",
      "references": [
        "https://doi.org/10.1007/s10661-023-11819-0",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516784"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analysis of volatile and semi-volatile perfluoroalkyl substances (PFAS) in industrially contaminated soils",
      "description": "In the current study, soils obtained from a collaboration with a fluorotelomer-based polymer manufacturing facility in New Jersey, USA were subjected to both targeted and non-targeted analysis of PFCA precursors.  Surface soil samples were screened for twenty-two volatile PFAS precursors using GC-positive chemical ionization (PCI)-MS (targeted) including eight nFTOHs, four secondary FTOHs (sFTOHs), six FT-acrylates (FT-Acrs) and four FT-acetates (Table S1) as well as the concentrations of their terminal transformation products (i.e., PFCAs, n=16) determined by LC-MS/MS.  Targeted analysis confirmed the presence of these series, specifically the nFTOHs, and non-targeted analysis highlighted additional known and novel industrial manufacturing by-products likely unintentionally produced during the FT-polymerization process. \n\nThis dataset is associated with the following publication:\nHenderson, W., M. Evich, J. Washington, T. Ward, B. Schumacher, J. Zimmerman, Y. Kim, E. Weber, A. Williams, M. Smeltz, and D. Glinski. Analysis of Legacy and Novel Neutral Per- and Polyfluoroalkyl Substances in Soils from an Industrial Manufacturing Facility.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(24): 10729–10739, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529806",
      "keyword": [
        "fluorotelomer alcohols",
        "contaminated soils",
        "PFAS precursors",
        "volatile PFAS"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "D-15f0_Henderson_Volatile PFAS for Scihub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529806/D-15f0_Henderson_Volatile%20PFAS%20for%20Scihub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-22",
      "references": [
        "https://doi.org/10.1021/acs.est.3c10268",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304343"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Narragansett Bay hypoxia history core locations",
      "description": "Table providing the date, time and locations of sediment cores used in this study. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Modern history of hypoxia in Narragansett Bay: The geochemical record.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 953: 176007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530098",
      "keyword": [
        "Narragansett Bay",
        "sediments",
        "Greenwich Bay",
        "Providence River",
        "sediment cores",
        "Latitude",
        "longitude"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "NarrBaySignPrjctSedCoreLocations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530098/NarrBaySignPrjctSedCoreLocations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Narragansett  Bay hypoxia history core Pb210 dating",
      "description": "Prep and counting data and calculations used for radiochemical dating of sediment core samples. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Modern history of hypoxia in Narragansett Bay: The geochemical record.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 953: 176007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530099",
      "keyword": [
        "Narragansett Bay",
        "Greenwich Bay",
        "Providence River",
        "Pb-210",
        "radiochemical",
        "dating",
        "CIC",
        "CRS"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "NarrBay 2012 Pb210 CRS calcns.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530099/NarrBay%202012%20Pb210%20CRS%20calcns.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Narragansett  Bay hypoxia history core metals data",
      "description": "Data and calculations for analyses of metals in sediment cores. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Modern history of hypoxia in Narragansett Bay: The geochemical record.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 953: 176007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530100",
      "keyword": [
        "Narragansett Bay",
        "Greenwich Bay",
        "Providence River",
        "Al",
        "Fe",
        "Mn",
        "Cu",
        "Zn",
        "CR",
        "Ni",
        "Mo"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "HistTrendsMetals.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530100/HistTrendsMetals.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Narragansett  Bay hypoxia history core C & N data",
      "description": "Carbon and nitrogen concentrations and isotopic fractionation in sediment cores. \n\nThis dataset is associated with the following publication:\nBoothman, W.S., and L. Coiro. Modern history of hypoxia in Narragansett Bay: The geochemical record.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 953: 176007, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530101",
      "keyword": [
        "Narragansett Bay",
        "Greenwich Bay",
        "Providence River",
        "carbon",
        "nitrogen",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "Warren Boothman",
        "hasEmail": "mailto:boothman.warren@epa.gov"
      },
      "distribution": [
        {
          "title": "2012 sed core CN & isotope data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530101/2012%20sed%20core%20CN%20%26%20isotope%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Food Waste Management Life Cycle Inventory Tool v1.0.0",
      "description": "This Excel-based life cycle inventory (LCI) model develops LCI data for management of wasted food via anaerobic digestion (AD), windrow and aerated static pile (ASP) composting, landfilling and incineration. The inventory model is run for the following scenario options:\n     >AD biogas fate: flare, combined heat and power (CHP) and renewable natural gas (RNG)\n     >Landfill gas fate: flare, electric engine, and RNG\n     >Compost method: windrow and ASP\n     >Incineration technology: Grate furnace - mass burn\n     >Digestate management: compost + land application, land application of whole digestate and digestate\n     landfilling\n     >Land application modeling is limited to avoided fertilizer credits and carbon sequestration benefit. \n       Estimating emissions associated with land application is beyond the scope of this model. Implicitly, \n       emissions associated with compost and digestate are assumed to be equivalent to those from avoided \n       synthetic fertilizer, leading to a net zero change in impact when changing nutrient sources.\n\nThe output is stored in the 'LCI' tab which can be exported into a csv or other text-based file. Definitions for the field names in the LCI sheet is included in the 'LCI Key' tab.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531740",
      "keyword": [
        "Composting",
        "incineration",
        "Anaerobic digestion",
        "Landfilling"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "Food Waste LCI Tool v1.0.0.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531740/Food%20Waste%20LCI%20Tool%20v1.0.0.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Optimized Approach for Measuring Ethylene Oxide in Mobile Source Exhaust Dataset",
      "description": "This dataset includes ethylene oxide measurements from diesel vehicle exhaust using an optimized canister-based measurement approach. \n\nThis dataset is associated with the following publication:\nGeorge, I., H. Vreeland, J. Faircloth, P. Kariher, and W. Preston. Optimized Approach for Measuring Ethylene Oxide in Mobile Source Exhaust.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 11(6): 560-565, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531718",
      "keyword": [
        "EtO (Ethylene Oxide)",
        "air pollution",
        "emissions",
        "Methods development"
      ],
      "contactPoint": {
        "fn": "Ingrid George",
        "hasEmail": "mailto:george.ingrid@epa.gov"
      },
      "distribution": [
        {
          "title": "EtO_mobile_data_table_dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531718/EtO_mobile_data_table_dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-04",
      "references": [
        "https://doi.org/10.1021/acs.estlett.4c00205"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "River-Chla-qPCR dataset",
      "description": "This dataset is the evaluation of eutrophication in rivers based on quantitative polymerase chain reactions (qPCRs) of phytoplankton. The qPCR data of 2017, 2018, and 2019 are included in the current dataset. The 2917, 2018, and 2019 physicochemical and biological data generated by the USGS are also included in the current file. \n\nThis dataset is associated with the following publication:\nZhang, C., K. McIntosh, N. Sienkiewicz, E.A. Stelzer, J.L. Graham, and J. Lu. qPCR-based phytoplankton abundance and chlorophyll a: A multi-year study in twelve large freshwater rivers across the United States.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 954: 175067, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529749",
      "keyword": [
        "nutrients",
        "qPCR",
        "chlorophyll a",
        "cyanobacteria",
        "spatiotemporal variations",
        "freshwater bodies"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "River-Chla-qPCR dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529749/River-Chla-qPCR%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-28",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.175067"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using an Ecosystem Service Model to Inform Restoration Goals: A Spatially Explicit Oyster Filtration Model for Pensacola Bay, Florida",
      "description": "These data include publicly available datasets as well as three-dimensional model simulation data. This dataset is not publicly accessible because: These data are primarily non-EPA generated, and include datasets generated by the University of Edinburgh and The Nature Conservancy. This is a non-EPA led project. It can be accessed through the following means: Data may be available following publication via correspondence with the lead author. Format: Data are multi-faceted and include publicly available datasets as well as model simulation data generated outside EPA. \n\nThis dataset is associated with the following publication:\nZu Ermgazzen, P., J. Gair, B. Jarvis, L. Geselbracht, A. Birch, W. Scheffel, K. Smith, and B. DeAngelis. Using an ecosystem service model to inform restoration planning: A spatially explicit oyster filtration model for Pensacola Bay, Florida.   Conservation Science and Practice. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(2): e13061, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528323",
      "keyword": [
        "modeling",
        "Nitrogen and Co-pollutants",
        "water quality",
        "oyster filtration",
        "oyster restoration"
      ],
      "contactPoint": {
        "fn": "Brandon Jarvis",
        "hasEmail": "mailto:jarvis.brandon@epa.gov"
      },
      "distribution": [],
      "modified": "2022-11-30",
      "references": [
        "https://doi.org/10.1111/csp2.13061"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Fecal Pollution Assessment with Bacterial, Viral, and Molecular Methods in Small Stream Tributaries",
      "description": "This dataset includes concentrations of culture-based fecal indicator concentrations, microbial source tracking marker concentrations, results from Bayesian statistical analysis. \n\nThis dataset is associated with the following publication:\nMcMinn, B., A. Korajkic, J. Kelleher, A. Diedrich, A. Pemberton, J. Willis, M. Sivaganesan, B. Shireman, A. Doyle, and O. Shanks. Quantitative fecal pollution assessment with bacterial, viral, and molecular methods in small stream tributaries.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 951: 175740, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530873",
      "keyword": [
        "coliphage",
        "fecal contamination",
        "Microbial Source Tracking",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Brian McMinn",
        "hasEmail": "mailto:mcminn.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_092424.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530873/SciHub_092424.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.175740"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Duke Forest Ammonia Flux Dataset_Forest_Grass_2017",
      "description": "This dataset includes measurements of ammonia air surface exchange in two adjacent ecosystems measured by open-path quantum cascade laser using the eddy covariance technique.  Analysis includes assessment of the physical and biogeochemical drivers that lead to differences in atmosphere-biosphere exchange of ammonia between these two natural ecosystems. \n\nThis dataset is associated with the following publication:\nGuo, X., D. Pan, R. Daly, X. Chen, J. Walker, L. Tao, J. McSpiritt, and M. Zondlo. Spatial heterogeneity of ammonia fluxes in a deciduous forest and adjacent grassland.   AGRICULTURAL AND FOREST METEOROLOGY. Elsevier Science Ltd, New York, NY, USA, 326: 109128, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524745",
      "keyword": [
        "eddy covariance",
        "atmospheric deposition",
        "ammonia",
        "Nitrogen and Co-pollutants",
        "emissions"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_Guo_Ammonia_2022_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524745/ScienceHub_Guo_Ammonia_2022_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-08",
      "references": [
        "https://doi.org/10.1016/j.agrformet.2022.109128"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "United States Environmental Protection Agency Emissions Data on the HTAP_v3 grid for the years 2002-2017",
      "description": "This dataset contains the EPA submission to the HTAP_v3 emission mosaic for the years 2002-2017 on the HTAP_v3 grid (0.1 degree by 0.1 degree). These data were based  on the same inventories used in EPA's Air Quality Time Series (EQUATES) (https://www.epa.gov/cmaq/equates).  Data for the years 2000,2001, and 2018 were not provided directly but were extrapolated by the HTAP_v3 mosaic team outside of EPA.  For PM2.5 and PM10, EC and OC, separate files for fugitive dust are also provided since the base inventory was adjusted for meteorology or land use.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531752",
      "keyword": [
        "emissions",
        "EQUATES",
        "air quality modeling",
        "Mosaic",
        "global"
      ],
      "contactPoint": {
        "fn": "George Pouliot",
        "hasEmail": "mailto:pouliot.george@epa.gov"
      },
      "distribution": [
        {
          "title": "2002-2017 PM10 dust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2002-2017%20PM10%20dust.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2002-2017 PM2.5 dust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2002-2017%20PM2.5%20dust.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2002-2017 OC dust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2002-2017%20OC%20dust.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2002-2017 EC dust.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2002-2017%20EC%20dust.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2017.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2017.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2016.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2015.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2015.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2014.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2014.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2013.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2013.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2012.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2012.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2011.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2011.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2010.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2010.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2009.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2009.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2008.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2008.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2007.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2007.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2006.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2006.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2005.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2005.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2004.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2004.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2003.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2003.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2002.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/2002.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531752/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Sensitivity of Air Quality to Vehicle Ammonia Emissions in the United States",
      "description": "These data are described in the associated publication and consist of a 2017 model simulation of EPA’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 with updated mobile NH3 emission factors for diesel and gasoline vehicles. CMAQ model results are evaluated against AMoN and AQS monitoring networks and CrIS satellite retrievals. \n\nThis dataset is associated with the following publication:\nToro Vergara, C., D. Sonntag`, J. Bash, G. Burke, B. Murphy, K. Seltzer, H. Simon, M. Shephard, and K. Cady-Pereira. Sensitivity of Air Quality to Vehicle Ammonia Emissions in the United States.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 327: 120484, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529783",
      "keyword": [
        "ammonia",
        "Nitrogen and Co-pollutants",
        "national emissions inventory",
        "particulate matter (PM)",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/cmaq/equates#how_to_download_equates_data",
          "accessURL": "https://www.epa.gov/cmaq/equates#how_to_download_equates_data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-16",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120484",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151733",
        "https://digitalcommons.du.edu/feat/",
        "https://www.epa.gov/cmaq/download-data"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2002-2017 Anthropogenic Emissions Data for AQ Model US",
      "description": "The US EPA developed a set of modeled meteorology, emissions, air quality and pollutant deposition spanning the years 2002 through 2019.  Modeled datasets cover the Conterminous US (CONUS) at a 12km horizontal grid spacing (12US1) and the Northern Hemisphere at a 108km (108NHEMI) using WRFv4.1.1 for meteorology and CMAQv5.3.2 for air quality modeling. New hemispheric and North American emissions inventories were developed using, to the extent possible, consistent input data and methods across all years, including emissions from mobile, fire, and oil and gas sources. Collectively these model outputs represent 100s of TB of data.  We have selected a subset of the model input and output datasets that we hope will be most useful to the air quality research community.  These datasets include:\n- Emissions inventory files for the CONUS for 2002-2019 suitable for input into the Sparse Matrix Operator Kernel Emissions (SMOKE) emission processor\n- Emissions trends data with annual total emissions, summed by pollutant and emissions source category\n- CMAQ-ready emissions, initial conditions and boundary condition input files for the 12US1 domain for 2002-2019\n- CMAQ-ready meteorology files for the 12US1 domain for 2002-2019. \n- Matched meteorology model output with surface observations for 2002-2019\n- Daily average CMAQ output for the 12US1 domain for 2002-2019 for 14 pollutants\n- Daily average 3D CMAQ output for 44 layers for the 108NHEMI domain for 2002–2019\n- Annual total wet and dry deposition for the 12US1 domain for 2002-2019\n- Hourly surface and 3D modeled meteorology, deposition and air concentrations for the 12US1 and 108NHEMI domains for 2002-2019. \n\nThis dataset is associated with the following publication:\nFoley, K., G. Pouliot, A. Eyth, M. Aldridge, C. Allen, K. Appel, J. Bash, M. Beardsley, J. Beidler, J. Choi, C. Farkas, R. Gilliam, J. Godfrey, B. Henderson, C. Hogrefe, S. Koplitz, R. Mason, R. Mathur, C. Misenis, N. Possiel, H. Pye, L. Reynolds, M. Roark, S. Roberts, D. Schwede, K. Seltzer, D. Sonntag, K. Talgo, C. Toro, J. Vukovich, J. Xing, and E. Adams. 2002-2017 Anthropogenic Emissions Data for Air Quality Modeling over the United States.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 47: N/A, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526392",
      "keyword": [
        "CMAQ",
        "deposition",
        "air emissions",
        "MOVES",
        "NEI",
        "O3",
        "pm2.5",
        "Air Trends",
        "WRF"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://drive.google.com/drive/folders/1G2_LBLy7_n91Ur0ulsLZ9zwGs3luTzn2",
          "accessURL": "https://drive.google.com/drive/folders/1G2_LBLy7_n91Ur0ulsLZ9zwGs3luTzn2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/cmaq/data-download-step-2#equates_datasets_rsig",
          "accessURL": "https://www.epa.gov/cmaq/data-download-step-2#equates_datasets_rsig",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aws.amazon.com/marketplace/pp/prodview-3uwf3nafznft6?sr=0-1&ref_=beagle&applicationId=AWSMPContessa#overview",
          "accessURL": "https://aws.amazon.com/marketplace/pp/prodview-3uwf3nafznft6?sr=0-1&ref_=beagle&applicationId=AWSMPContessa#overview",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cmas-equates.s3.amazonaws.com/index.html",
          "accessURL": "https://cmas-equates.s3.amazonaws.com/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-12",
      "references": [
        "https://doi.org/10.1016/j.dib.2023.109022",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10023994",
        "https://pasteur.epa.gov/uploads/10.23719/1526392/documents/KFoley_EQUATES_CMAS_2020%5B1%5D.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1526392/documents/KFoley_EQUATES_CMAS_2021%5B1%5D.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://drive.google.com/drive/folders/1G2_LBLy7_n91Ur0ulsLZ9zwGs3luTzn2"
      },
      "accessRights": "public"
    },
    {
      "title": "Temp_air_preterm_NC_JUN2024",
      "description": "Dataset is birth registry data from NC for 2006 - 2015, linked to air pollution and temperature exposures. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Health data can be requested through the North Carolina Department of Human Health Services. Air pollution data can be accessed through the EPA RSIG portal. Temperature data can be requested from the CDC. Format: SAS, R, and csv files. \n\nThis dataset is associated with the following publication:\nKrajewski, A., B. Alman, A. Vaidyanathan, T. Luben, and K. Rappazzo. Effect of extreme heat exposure on the associations between weekly gestational exposure to fine particulate matter and preterm birth in a North Carolina birth cohort. Presented at Society of Epidemiologic Research (SER) and Society of Pediatric and Perinatal Epidemiologic Research (SPER), Austin, TX, USA, 06/16/2024 - 06/21/2024.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530704",
      "keyword": [
        "particulate matter (PM)",
        "air pollution",
        "birth outcomes",
        "climate",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Alison Krajewski",
        "hasEmail": "mailto:krajewski.alison@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "PBPK Model Template Timing Source Code",
      "description": "The data set includes source code for a \"PBPK model template\" that can be used to implement physiologically based pharmacokinetic (PBPK) models with various different structural designs and features. The data set also includes source code scripts that can be used to conduct timing experiments described in an associated manuscript by Bernstein et al. The manuscript will be submitted to a peer-reviewed scientific journal.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531739",
      "keyword": [
        "PBPK modeling",
        "Risk Assessment",
        "Computational time",
        "model template"
      ],
      "contactPoint": {
        "fn": "Dustin Kapraun",
        "hasEmail": "mailto:kapraun.dustin@epa.gov"
      },
      "distribution": [
        {
          "title": "Bernstein_PBPK_Template_Timing_Code.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531739/Bernstein_PBPK_Template_Timing_Code.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pesticide in Water Calculator amphibian exposures",
      "description": "Data sources for Pesticide in Water Calculator scenario simulations. \n\nThis dataset is associated with the following publication:\nAwkerman, J., T. Purucker, S. Raimondo, and L. Oliver. Long-term, landscape-level assessment of aquatic pesticide exposure to identify amphibian ontological traits affecting vulnerability.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(5): 1667-1676, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527923",
      "keyword": [
        "amphibian",
        "pesticide exposure",
        "pesticide in water calculator",
        "ephemeral wetland"
      ],
      "contactPoint": {
        "fn": "Jill Awkerman",
        "hasEmail": "mailto:awkerman.jill@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/models-pesticide-risk-assessment#PWC",
          "accessURL": "https://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/models-pesticide-risk-assessment#PWC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/ceam/meteorological-data",
          "accessURL": "https://www.epa.gov/ceam/meteorological-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-29",
      "references": [
        "https://doi.org/10.1002/ieam.4924"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "REFIT Data for ScienceHub-12.16.2021",
      "description": "This dataset contains data for a manuscript describing facemask's fitted filtration efficiency and material performance after repeated washing and wearing. \n\nThis dataset is associated with the following publication:\nChen, H., J. Samet, H. Tong, A. Abzhanova, A. Rappold, and S. Prince. Can Disposable Masks Be Worn More Than Once?.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 242: 113908, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524375",
      "keyword": [
        "disposable facemask",
        "plastic waste",
        "durability",
        "Reusability",
        "filtration efficiency",
        "COVID-19",
        "personal protection equipment (PPE)"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "REFIT Data for ScienceHub-12.16.2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524375/REFIT%20Data%20for%20ScienceHub-12.16.2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-16",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2022.113908",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301359"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Publication PFAS Modulate Osmotic Signaling Independent of Gravimetric Changes in the Rat Uterus",
      "description": "Uterotrophic assay data analysis from gene arrays and uterine weights. \n\nThis dataset is associated with the following publication:\nDixon, A., E. Rowan, A. Yackley, and E. Hines. PFAS Modulate Osmotic Signaling Independent of Gravimetric Changes in the Rat Uterus.   Toxics. MDPI, Basel,  SWITZERLAND, 12(3): 170, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531737",
      "keyword": [
        "uterotrophic assay",
        "PFAS",
        "Children's Environmental Health",
        "Translational Research",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Erin Hines",
        "hasEmail": "mailto:hines.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Rapid Uterotrophic Assay UTA Data Supplemental File 2024 PFAS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531737/Rapid%20Uterotrophic%20Assay%20UTA%20Data%20Supplemental%20File%202024%20PFAS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-24",
      "references": [
        "https://doi.org/10.3390/toxics12030170",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10975357"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ammonium Perchlorate - Serum dosimetry, neurotoxicity and resilience of the neonatal rat thyroid system",
      "description": "Perchlorate is an environmental contaminant that interferes with iodine uptake via the NIS transporter into the thyroid gland, reducing thyroid hormone (TH) synthesis. As adequate supplies of TH are essential for brain development, exposures to perchlorate during pregnancy have raised concern for the developing brain. This paper describes the effects of exposure of pregnant rat dams to a classic chemical NIS inhibitor, perchlorate, on serum, thyroid gland and brain in the dam and pup. declines were observed in the newborn pup. TH were also reduced in the newborn pup brain, but both serum and brain hormones quickly recovered by PN2 despite continued maternal exposure.  Gene expression changes in the gland revealed dramatic increases in expression of Nis, serum perchlorate concentrations fell, and large increases in serum TSH were evident. Combined, these events contributed to rapid recovery of serum markers in the early postnatal period. Despite full recovery of serum and brain hormones, significant reductions in a number of molecular markers of TH-action remained in the cortex and hippocampus of the PN14 pup brain. The findings provide for the first-time quantitative information collected in the same study for thyroid hormones in the thyroid gland, serum, and brain. They provide essential quantitative data to reduce uncertainties in development of Physiologically Based Pharmacokinetic (PBPK), Biologically Based Dose Response (BBDR), and Quantitative Adverse Outcome (qAOP) models of thyroid disruption and neurodevelopment. They demonstrate the remarkable resilience of the neonatal thyroid gland to NIS inhibition and support the use of Comparative Thyroid Assay (CTA) for identifying thyroid system disrupting chemicals. They indicate that the postnatal rat may be much less sensitive to the neurological effects of TH insufficiency relative to humans based on species differences in the timing of brain development. \n\nThis dataset is associated with the following publication:\nGilbert, M., I. Hassan, K. O'Shaughnessy, C. Wood, T. Stoker, C. Riutta, and J. Ford. Ammonium Perchlorate: Serum Dosimetry, Neurotoxicity and Resilience of the Neonatal Rat Thyroid System.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  198(1): 113-127, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531742",
      "keyword": [
        "Environmental Justice",
        "in vivo",
        "Drinking water contaminants",
        "Adverse Outcome Pathways (AOPs)",
        "developmental neurotoxicity",
        "children's health",
        "human health",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "Developmental Perchlorate Tox Sci  2023 Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531742/Developmental%20Perchlorate%20Tox%20Sci%20%202023%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-19",
      "references": [
        "https://doi.org/10.1093/toxsci/kfad133"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildfire Transcriptomic Similarity Scoring Data",
      "description": "This dataset was generated to support the differential expression analysis, transcriptomic similarity scoring analysis, exposure chemistry profiles, mouse pulmonary toxicity measures and associated figures contained within the manuscript. \n\nThis dataset is associated with the following publication:\nKoval, L., C. Carberry, Y.H. Kim, E. McDermott, H. Hartwell, I. Jaspers, M. Gilmour, and J. Rager. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring.   International Journal of Environmental Science and Technology. Springer, Heidelburg,  GERMANY, 56(23): 17131-17142, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531715",
      "keyword": [
        "toxicology",
        "wildfire",
        "air pollution",
        "biofuels",
        "bioinformatics"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/Ragerlab/Script_for_Wildfire-Variable-Toxicity--Identifying-Biomass-Smoke-Exposure-Groupings-through-Transcri",
          "accessURL": "https://github.com/Ragerlab/Script_for_Wildfire-Variable-Toxicity--Identifying-Biomass-Smoke-Exposure-Groupings-through-Transcri",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://dataverse.unc.edu/dataverse/ragerlab",
          "accessURL": "https://dataverse.unc.edu/dataverse/ragerlab",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-01",
      "references": [
        "https://doi.org/10.1021/acs.est.2c06043",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10777820"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dry Surface Layer_2020",
      "description": "Summary of lab experiments relating soil dry surface layer to soil moisture and other soil properties. This dataset is not publicly accessible because: This project was not funded by EPA nor were the data collected by EPA. It can be accessed through the following means: These data were generated by a student and professor at NC State University.  The data will be available by request from Professor Josh Heitman and may become publicly available if required by the scientific journal where the paper is published. Format: Not applicable. \n\nThis dataset is associated with the following publication:\nMathers, C., W. Robarge, J. Walker, C. Sayde, and J. Heitman. Laboratory observations for examining estimates of soil dry surface layer thickness with parsimonious models.   Hydrological Sciences Journal. IAHS LIMITED, Oxford,  UK, 69(10): 1411-1416, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520444",
      "keyword": [
        "nitrogen",
        "deposition",
        "bidirectional flux",
        "sulfur",
        "micrometeorology"
      ],
      "contactPoint": {
        "fn": "John Walker",
        "hasEmail": "mailto:walker.johnt@epa.gov"
      },
      "distribution": [],
      "modified": "2020-11-02",
      "references": [
        "https://doi.org/10.1080/02626667.2024.2373249"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating water-quality trends in agricultural watersheds prioritized for management-practice implementation",
      "description": "Water-quality and streamflow data are available at https://doi.org/10.5066/F7P55KJN. Calculated nutrient and sediment loads are available at https://doi.org/10.5066/P96H2BDO. Inputs to the Chesapeake Bay Program's watershed model are available at https://doi.org/10.5066/P93SVYQG. Estimated nutrient and sediment management-practice load reductions are available at https://doi.org/10.5066/P95WG7G0. Expected physical effects of agricultural conservation practices are available at https://doi.org/10.5066/P9VY95KT. \n\nThis dataset is associated with the following publication:\nWebber, J., j. Chanat, J. Clune, O. Devereux, N. Hall, R. Sabo, and Q. Zhang. Evaluating water-quality trends in agricultural watersheds prioritized for management-practice implementation.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA,  305-330, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531764",
      "keyword": [
        "Nonpoint sources",
        "Nitrogen and Co-pollutants",
        "Phosphorus and Nitrogen",
        "Chesapeake Bay",
        "nitrogen",
        "Agriculture",
        "sediment",
        "Management Practices",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/F7P55KJN",
          "accessURL": "https://doi.org/10.5066/F7P55KJN",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5066/P96H2BDO",
          "accessURL": "https://doi.org/10.5066/P96H2BDO",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5066/P93SVYQG",
          "accessURL": "https://doi.org/10.5066/P93SVYQG",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5066/P95WG7G0",
          "accessURL": "https://doi.org/10.5066/P95WG7G0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5066/P95WG7G0",
          "accessURL": "https://doi.org/10.5066/P95WG7G0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.5066/P9VY95KT",
          "accessURL": "https://doi.org/10.5066/P9VY95KT",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-24",
      "references": [
        "https://doi.org/10.1111/1752-1688.13197"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data underlying JGLR 2024 journal article concerning aquatic invertebrate composition at APIS 2017 and ISRO 2012within Lake Superior. ",
      "description": "The two excel files provide zooplankton and benthic macroinvertebrate data, respectively, underlying the publication.  The data consist of sample by taxa matrices for Isle Royale in 2012, Apostle Islands in 2017, Lake Superior CSMI in 2016, and Lake Superior NCCA in 2015. \n\nThis dataset is associated with the following publication:\nTrebitz, A., G. Shepard, C. Meredith, G. Peterson, and J. Hoffman. Aquatic invertebrate diversity in Apostle Islands and Isle Royale waters: Comparison among habitats and sampling gears and to open Lake Superior.   JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 50(5): 102406, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531664",
      "keyword": [
        "benthic/littoral invertebrates",
        "biodiversity",
        "zooplankton",
        "National parks",
        "multi-gear surveys"
      ],
      "contactPoint": {
        "fn": "Anett Trebitz",
        "hasEmail": "mailto:trebitz.anett@epa.gov"
      },
      "distribution": [
        {
          "title": "ZooplanktonData_ISRO12_APIS17_CSMI16.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531664/ZooplanktonData_ISRO12_APIS17_CSMI16.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BenthosData_ISRO12_APIS17_CSMI16_NCCA15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531664/BenthosData_ISRO12_APIS17_CSMI16_NCCA15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-26",
      "references": [
        "https://doi.org/10.1016/j.jglr.2024.102406"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Developmental toxicity of PFO4DA and PFO5DoA assessed using hepatic transcriptomics and serum metabolomics",
      "description": "Production of per- and polyfluoroalkyl substances (PFAS) has shifted from long-chain perfluoroalkyl acids to short-chain compounds and those with ether bonds in the carbon chain. Next-generation perfluoroalkylether PFAS include HFPO-DA (“GenX chemicals”), Nafion Byproducts, and the PFOx homologous series that includes perfluoro-3,5,7,9-butaoxadecanoic acid (PFO4DA) and perfluoro-3,5,7,9,11-pentaoxadodecanoic acid (PFO5DoA). PFO4DA and PFO5DoA have been detected in serum and/or tissues from humans and wildlife proximal to contamination point sources. However, toxicity data are extremely limited, with no animal developmental toxicology data. To address these data gaps, pregnant Sprague-Dawley rats were exposed via oral gavage to vehicle, PFO4DA, or PFO5DoA across a series of doses (0.1 to 62.5 mg/kg/day) from gestation day (GD) 18–22. Hepatic transcriptomics were assayed in dams and fetuses, and serum metabolomics in dams. These data were overlaid with serum PFO4DA and PFO5DoA concentrations to perform dose-response modeling. Both dams and fetuses exhibited dose-responsive disruption of hepatic gene expression in response to PFO4DA or PFO5DoA, with fetal expression disrupted at lower doses than dams. Several differentially expressed genes were upregulated by every dose of PFO5DoA in both maternal and fetal samples, including genes encoding enzymes that hydrolyze acyl-coA to free fatty acids. Maternal serum metabolomics revealed PFO4DA exposure did not induce significant changes at any tested dose, whereas PFO5DoA exposure resulted in dose-dependent differential metabolite abundance for 149 unique metabolites. Multi-omics pathway analyses of integrated maternal liver transcriptomics and serum metabolomics revealed significant convergent changes as low as 3 mg/kg/d PFO4DA and 0.3 mg/kg/d PFO5DoA exposure. Overall, transcriptomic and metabolomic effects of PFO4DA and PFO5DoA appear consistent with other carboxylic acid PFAS, with primary changes related to lipid metabolism, bile acids, cholesterol, and cellular stress. Importantly, PFO5DoA exposure more potently induced changes in maternal and fetal hepatic gene expression and maternal circulating metabolites, despite high structural similarity. Further, we report in vitro PPARα and PPARγ receptor activation for both compounds as putative molecular mechanisms. This work demonstrates the potential developmental toxicity of alternative moiety perfluoroethers and highlights the developing liver as particularly vulnerable to transcriptomic disruption. \n\nThis dataset is associated with the following publication:\nJackson, T., C. Lambright, N. Evans, L. Wehmas, D. Macmillan, J. Bangma, L. Gray, and J. Conley. Exploring maternal and developmental toxicity of perfluoroalkyl ether acids PFO4DA and PFO5DoA using hepatic transcriptomics and serum metabolomics.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 953(2): 175978, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531726",
      "keyword": [
        "children's health",
        "human health",
        "PFAS",
        "Children's Environmental Health",
        "in vivo",
        "Drinking water contaminants",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Thomas Jackson",
        "hasEmail": "mailto:jackson.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266378",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE266378",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531726/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0048969724061345-mmc3.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0048969724061345-mmc3.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-13",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.175978",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11466241"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures",
      "description": "This data supports the journal publication \"Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures\" which identifies and extracts published congener profiles across 29 commercial and simulated environmental PCB mixtures, including various Aroclors, Phenoclors, Clophens, and Kanechlors, among others. This work represents the most extensive effort to date to compile and make publicly available the PCB congener profiles for mixtures with toxicological data, providing a foundation for understanding toxicological potency of PCB mixtures in the environment. \n\nThis dataset is associated with the following publication:\nSchulz, B., L. Carlson, K. Christensen, C. Weitekamp, R. Marek, A. Martinez, K. Hornbuckle, and G. Lehmann. Comprehensive compilation of congener profiles to support health assessment of environmental exposures to polychlorinated biphenyl mixtures.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 263(Part 1): 120081, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529824",
      "keyword": [
        "PCBs",
        "Aroclor",
        "chemical mixtures",
        "Congener"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://public.tableau.com/app/profile/literature.inventory/viz/PCB_Profiles/CommercialPCBMixtures",
          "accessURL": "https://public.tableau.com/app/profile/literature.inventory/viz/PCB_Profiles/CommercialPCBMixtures",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplemental_Material_1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529824/Supplemental_Material_1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Supplemental Data 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529824/Supplemental%20Data%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "PCB-Mix-Profiles_Tableau.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529824/PCB-Mix-Profiles_Tableau.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-10",
      "references": [
        "https://doi.org/10.1016/j.envres.2024.120081"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Formosa Mine Studies",
      "description": "Doug-fir, mine tailing, and site data for Formosa mine case study site. \n\nThis dataset is associated with the following publication:\nJohnson, M., D. Olszyk, M. Bollman, M. Storm, R. Coulombe, M. Nash, V. Manning, K. Trippe, D. Watts, and J. Novak. Amendments promote Douglas-fir survival on Formosa Mine tailings.   JOURNAL OF ENVIRONMENTAL QUALITY. American Society of Agronomy, MADISON, WI, USA, 53(5): 553-561, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527930",
      "keyword": [
        "superfund sites",
        "metals",
        "Electrical conductivity",
        "biosolids",
        "Lime",
        "pH",
        "remediation",
        "biochar"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [
        {
          "title": "Formosa_gradientplot_SoilMoisture_Temp_daily_data_All_Final_050820.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa_gradientplot_SoilMoisture_Temp_daily_data_All_Final_050820.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Tailings, Biosolids, Biochar Chemistry Data Final 082522.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa%20Tailings%2C%20Biosolids%2C%20Biochar%20Chemistry%20Data%20Final%20082522.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Douglas-fir Data Final 082522.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa%20Douglas-fir%20Data%20Final%20082522.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tree Harvest All 08624.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Tree%20Harvest%20All%2008624.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Douglas-fir Data Master 071725.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa%20Douglas-fir%20Data%20Master%20071725.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa Douglas-fir Data Master 042225.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa%20Douglas-fir%20Data%20Master%20042225.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Formosa complete - 7 17 2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Formosa%20complete%20-%207%2017%202025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Extra Tree Data Summary All Years 040325.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/Extra%20Tree%20Data%20Summary%20All%20Years%20040325.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023 Root Escapement 011325.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527930/2023%20Root%20Escapement%20011325.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-10",
      "references": [
        "https://doi.org/10.1002/jeq2.20587",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665576"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Herbicide Drift and Native Plant Reproduction",
      "description": "The main date set indicates the flowering response of native plant species treated with herbicides dicamba and glyphosate in field plots.  It includes the notes taken in the field, conversion of notes to a quantitative measure of flowering, and comments for 9 species at two farms on 13 observation times, for 8 replicate plots per species, farm and observation time.  The data sets also include information concerning QA for herbicide treatments and repeated measures of flowering. \n\nThis dataset is associated with the following publication:\nOlszyk, D., T. Pfleeger, T. Shiroyama, M. Blakeley-Smith, E. Lee, M. Nash, and M. Plocher. Simulated Herbicide Drift Alters Native Plant Flowering Phenology.   Ecotoxicology. Springer, New York, NY, USA,  024-02795-3, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527980",
      "keyword": [
        "dicamba",
        "glyphosate",
        "Non-target plants",
        "ecotoxicology",
        "Herbicide"
      ],
      "contactPoint": {
        "fn": "David Olszyk",
        "hasEmail": "mailto:olszyk.david@epa.gov"
      },
      "distribution": [
        {
          "title": "POGR Flower Count QA 080818 reevaluated 091322.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527980/POGR%20Flower%20Count%20QA%20080818%20reevaluated%20091322.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chemical Analysis Summary for 2011 091322.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527980/Chemical%20Analysis%20Summary%20for%202011%20091322.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "All Species 2011 Flowering for SH 08 07 24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527980/All%20Species%202011%20Flowering%20for%20SH%2008%2007%2024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-13",
      "references": [
        "https://doi.org/10.1007/s10646-024-02795-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation\"",
      "description": "These data contain several publicly-available data sets that are used to elucidate the methods in the paper, including data on seal counts in Alaska, county-aggregated demographic data, and heavy metal data in Alaska. \n\nThis dataset is associated with the following publication:\nVer Hoef, J., E. Blagg, M. Dumelle, P. Dixon, D. Zimmerman, and P. Conn. Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation.   ENVIRONMETRICS. John Wiley & Sons Incorporated, New York, NY, USA, 35(7): e2872, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531697",
      "keyword": [
        "Correlation",
        "Generalized Linear Model",
        "Mixed Model",
        "Statistsics",
        "Spatial Model"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/mhglmm.laplace",
          "accessURL": "https://github.com/USEPA/mhglmm.laplace",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-05-16",
      "references": [
        "https://doi.org/10.1002/env.2872"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Aquatic Resource Surveys National Lakes Assessment Data (2007, 2012, 2017) and LakeCat Watershed Data",
      "description": "The National Aquatic Resource Surveys National Lakes Assessment data contain lake conductivity information at lakes in the contiguous United States. The LakeCat data contain watershed metrics for lakes in the contiguous United States. \n\nThis dataset is associated with the following publication:\nDumelle, M., J. Ver Hoef, A. Handler, R. Hill, M. Higham, and A. Olsen. Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data.   Spatial Statistics. Elsevier Ltd, Oxford,  UK, 59: 100808, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530049",
      "keyword": [
        "Correlation",
        "prediction",
        "climate change",
        "National Lakes Assessment",
        "salinization"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-30",
      "references": [
        "https://doi.org/10.1016/j.spasta.2023.100808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "How vertical drainage positions of extensive green roofs affect the runoff control performance",
      "description": "The capacity of extensive green roofs (EGRs) in runoff reduction and pollutants control significantly decreased with increasing rainfall intensity. This is attributed to most of EGRs are the lower-drainage method and use a thinner substrate layer because of the structural load-bearing limits of buildings. Existing solutions depend on increasing the rainwater storage by thickening the substrate layer of EGRs, or replacing the substrate materials. We propose to enhance the water retention capacity of EGRs by adjusting vertical drainage positions and moving the lower-drainage at the bottom to upper-drainage over the substrate layer. To test the runoff control performance of EGRs with the upper-drainage method, we designed three EGR models with two different (upper- and lower-) drainage methods based on the common EGR’s structure in practice and carried out total 48 experiments under different rainfall intensities with an artificial rainfall simulator. The experimental design also included adjusting structural factors of the EGR to further explore the influences of roof slope, status of vegetation growth (height and canopy cover ratio), and model size. The average runoff retention rate for the upper-drainage EGR was 61.82 %, which was much higher than the 23.94 % for the lower-drainage EGR. The concentrations of TN and TP in runoff with the upper-drainage were 2.83 and 0.18 mg/L, which were much lower than the 8.47 and 2.10 mg/L for the lower-drainage EGR. EGRs with upper-drainage overall performed better in runoff control than EGRs with lower-drainage. Vegetation height and model size did not significantly affect the rainwater control performance for different drainage methods, while the change of slope affected the rainwater interception of the EGRs with upper-drainage method. This dataset is not publicly accessible because: non-EPA generated data. It can be accessed through the following means: Contact Dr. Xin Fu (fuxinuc@outlook.com). Format: non-EPA generated data. \n\nThis dataset is associated with the following publication:\nCui, E., X. Fu, X. Yang, Q. Zhang, D. Duan, and M. Hopton. How vertical drainage positions of extensive green roofs affect the runoff control performance.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 642: 131855, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531777",
      "keyword": [
        "Green Roofs",
        "Runoff Quality",
        "rainfall simulator"
      ],
      "contactPoint": {
        "fn": "Matthew Hopton",
        "hasEmail": "mailto:hopton.matt@epa.gov"
      },
      "distribution": [],
      "modified": "2024-08-01",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2024.131855"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Microbial community storm dynamics",
      "description": "Microbial DNA data and water stable isotope data used in the following paper:\n\nURycki, D. R., Good, S. P., Crump, B. C., Ceperley, N., & Brooks, J. R. (2024). Microbial community storm dynamics signal sources of “old” stream water. Plos One, 19(9), e0306896. https://doi.org/10.1371/journal.pone.0306896. \n\nThis dataset is associated with the following publication:\nURycki, D., S. Good, B. Crump, N. Ceperley, and J.R. Brooks. Microbial community storm dynamics signal sources of “old” stream water.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 19(9): e0306896, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531762",
      "keyword": [
        "hydrologic tracers",
        "eDNA",
        "Pacific Northwest",
        "river flow",
        "stable isotope ratios",
        "small storm hydrology"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/12659203",
          "accessURL": "https://zenodo.org/records/12659203",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-04",
      "references": [
        "https://doi.org/10.1371/journal.pone.0306896",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11421800"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LPMA Hot Water",
      "description": "This dataset contains the molecular occurrence and concentration of Legionella pneumophila, M. avium, M. intracellulare and M. abscessus by structure type. Portions of this dataset are inaccessible because: This data set will have a second paper that is not written yet. Please hold off publishing the data set until the second paper is published. They can be accessed through the following means: This data will be accessible via Science Hub at a later date. Format: Molecular Data. \n\nThis dataset is associated with the following publication:\nDonohue, M., J. Mistry, N. Tucker, and S. Vesper. Hot Water in Residences and Office Buildings Have Distinctive Legionella pneumophila Contamination Risk. . (ed.), INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 245: 114023, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524321",
      "keyword": [
        "Legionella . Opportunistic pathogen . Tapwater . Shower water . qPCR"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_LPMA_Hotwater.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1524321/SciHub_LPMA_Hotwater.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-13",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2022.114023",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848435"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fantastic wetlands and why to monitor them: Demonstrating the social and financial benefit potential of methane abatement through salt marsh restoration",
      "description": "Datasets, tables and spreadsheets used in the production of this paper. This includes salinity measurements from partners, our calculations of greenhouse gas mitigation from changes in salinity based on the logic presented in the paper. Portions of this dataset are inaccessible because: Already with the supplementary information of the paper. They can be accessed through the following means: https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000317#sec020. Format: XLSX, DOCX. \n\nThis dataset is associated with the following publication:\nReilly, A.V., N.H. Merrill, K.K. Mulvaney, P. Colarusso, and E. Burman. Fantastic wetlands and why to monitor them: Demonstrating the social and financial benefit potential of methane abatement through salt marsh restoration.   PLOS Climate. Public Library of Science, San Francisco, CA, USA, 3(7): e0000317, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531779",
      "keyword": [
        "Marsh",
        "salinity",
        "Greenhouse Gas Mitigation"
      ],
      "contactPoint": {
        "fn": "Nathaniel Merrill",
        "hasEmail": "mailto:merrill.nathaniel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000317#sec020",
          "accessURL": "https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000317#sec020",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-05",
      "references": [
        "https://doi.org/10.1371/journal.pclm.0000317",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457170"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA",
      "description": "Datasets referenced in \"This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA\". This dataset is not publicly accessible because: Parcel data is commercially available as referenced in the paper and the SLAAM models are available at the referenced location in the manuscript. It can be accessed through the following means: Request to author and purchased through provider. Format: XLSX and GEOTIFF. \n\nThis dataset is associated with the following publication:\nBurman, E., N. Merrill, K. Mulvaney, M. Bradley, and C. Wigand. This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 351(February 2024): 119657, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531780",
      "keyword": [
        "Coastal Marsh",
        "Future Sea Level Rise",
        "parcels"
      ],
      "contactPoint": {
        "fn": "Nathaniel Merrill",
        "hasEmail": "mailto:merrill.nathaniel@epa.gov"
      },
      "distribution": [],
      "modified": "2024-02-01",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2023.119657"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data, code, and documents supporting the manuscript entitled, \"Comparing fluorometric methods ( in vivo vs extracted) for cyanoHAB monitoring in six Rhode Island ponds\"",
      "description": "This GitHub repository contains the data and code used in a study to compare the accuracy and precision of  several handheld and benchtop fluorometers at meausuring chlorophyll and phycocyanin.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531757",
      "keyword": [
        "cyanobacteria",
        "Cell Counts",
        "chlorophyll",
        "phycocyanin",
        "fluorometry"
      ],
      "contactPoint": {
        "fn": "Stephen Shivers",
        "hasEmail": "mailto:shivers.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/usepa/fluoroproj",
          "accessURL": "https://github.com/usepa/fluoroproj",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Upland vegetation removal as a potential tool for facilitating landward salt marsh migration",
      "description": "Raw upland and marsh plant species data for different habitats and zones on Prudence Island. The ecotone elevation tab contains the year of observation, habitat, treatment, transect, and elevation measures. The plant tabs contain the plant data and associated habitat and zone. This dataset is not publicly accessible because: Non-EPA data and owned by RI National Estuarine Research Reserve. Research data are maintained and held at the RI National Estuarine Research Reserve. Point of contact: \r\nKenneth B. Raposa, Ph.D.\r\nResearch Coordinator\r\nNarragansett Bay NERR\r\nPO Box 151, Prudence Island RI 02872\r\n401.683.7849\r\nkenneth.raposa@dem.ri.gov\r\nDistribution of the data is at the discretion of the lead author and lead analyst who is an external partner, Kenny Raposa (RINERR). It can be accessed through the following means: Contact Dr. Raposa for access to non EPA data:\r\n  \r\nKenneth B. Raposa, Ph.D.\r\nResearch Coordinator\r\nNarragansett Bay NERR\r\nPO Box 151, Prudence Island RI 02872\r\n401.683.7849\r\nkenneth.raposa@dem.ri.gov\r\nDistribution of the data is at the discretion of the lead author and lead analyst who is an external partner, Kenny Raposa (RINERR). Format: Dataset title: Plant&Elevation_for_Sheep_Pen_marsh.xls (208 KB)\r\nRaw upland and marsh plant species data for different habitats and zones. The ecotone elevation tab contains the year of observation, habitat, treatment, transect, and elevation measures. The plant tabs contain the plant data and associated habitat and zone.\r\n\r\nMeta data tab within the EXCEL file.\r\n \r\nAbbreviations used in the plant tabs\r\nJunger- Juncus gerardii\r\nDisspi- Distichlis spicata\r\nIvafru- Iva frutescens\r\nPhraus- Phragmites australis\r\nSpapat- Spartina patens\r\nSpaalt- Spartina alterniflora\r\nBacham-Baccharis halimifolia\r\nSpapec-Spartina pectinata\r\nSchame- Schoenoplectus americanus\r\nSal spp.- Salicornia species\r\nSchpun- Schoenoplectus pungens\r\nSolsem- Solidago sempervirens\r\n\r\nKeywords: marsh plants, marsh migration, elevation\r\nElevation is in units of m NAVD88\r\n\r\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531722",
      "keyword": [
        "marsh plants",
        "marsh migration",
        "elevation"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2024-09-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stable isotope data for Ammonium loss microbiologically mediated by Fe(III) and Mn(IV) reduction along a coastal lagoon system",
      "description": "These data are carbon and nitrogen content and stable isotope measurements of sediments from a lagoon in the Baja California Peninsula. The %N column gives the percent nitrogen, the delta-15-NAir column gives the stable isotope value of the nitrogen (using per mil units), the %CTotal column gives the total carbon content of the sediment while the %C Organic gives the amount of organic carbon in the sediment. The delta-13C Organic column gives the stable isotope value of the organic carbon in the sediment. \n\nThis dataset is associated with the following publication:\nSamperio-Ramos, G., O. Hernandez-Sanchez, V.F. Camacho-Ibar, S. Pajares, A. Gutierrez, J.M. Sandoval-Gil, M. Reyes, S. De Gyves, S. Balint, A. Oczkowski, S.J. Ponce-Jahen, and F.J. Cervantes. Ammonium loss microbiologically mediated by Fe(III) and Mn(IV) reduction along a coastal lagoon system.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 349: 140933, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531719",
      "keyword": [
        "nitrogen",
        "carbon",
        "stable isotope",
        "Ammonium"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "Isotope Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531719/Isotope%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-07",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.140933"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531719/documents/Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "H20 disinfection_Science Hub_2022",
      "description": "Dataset used to generate tables/figures demonstrating the effects of water disinfection on allergic hypersensitivity and dermal irritation. \n\nThis dataset is associated with the following publication:\nLehmann, D., M. Armstrong, W. Williams, C. Postigo, and J. Simmons. Assessing the skin irritation and sensitizing potential of concentrates of water chlorinated in the presence of iodinated X-ray contrast media.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 480: 153335, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526530",
      "keyword": [
        "water",
        "chlorination",
        "iodinated X-ray contrast media",
        "skin sensitization",
        "local lymph node assay",
        "allergic hypersensitivity",
        "dermal irritation"
      ],
      "contactPoint": {
        "fn": "David Lehmann",
        "hasEmail": "mailto:lehmann.david@epa.gov"
      },
      "distribution": [
        {
          "title": "H2O disinfection_Science Hub_ Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526530/H2O%20disinfection_Science%20Hub_%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-14",
      "references": [
        "https://doi.org/10.1016/j.tox.2022.153335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Considering Monitoring Well Bias in the Delineation of Benzene Plume Lengths (Repository)",
      "description": "This is a link to the GitHub repository, which houses code to generate the analyses described in \"Considering Monitoring Well Bias in the Delineation of Benzene Plume Lengths\", published in the journal of environmental engineering (2024). The journal article can be found at: https://ascelibrary.org/doi/full/10.1061/JOEEDU.EEENG-7589",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531783",
      "keyword": [
        "benzene",
        "Leaking Underground Storage Tanks",
        "Groundwater Contamination"
      ],
      "contactPoint": {
        "fn": "Andrew Murray",
        "hasEmail": "mailto:murray.andrewr@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/ORD_Plume_Paper",
          "accessURL": "https://github.com/USEPA/ORD_Plume_Paper",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-10-04",
      "references": null,
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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              {
                "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "Datasets to evaluate whether habitat complexity can buffer the impacts of human land-use on stream biodiversity ",
      "description": "Testing whether high, medium or low habitat complexity can effectively buffer freshwater biodiversity against human land-use impacts using the National Rivers and Stream Assessment 2008-2009 and 2013-2014 fish and macroinvertebrate datasets. \n\nThis dataset is associated with the following publication:\nMoi, D., P. Kaufmann, L. Riato, G.Q. Romero, P. Kratina, F. Teixeira de Mello, and R.M. Hughes. Habitat Diversity Mitigates the Impacts of Human Pressure on Stream Biodiversity.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 30(10): e17534, (2024).",
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      "identifier": "https://doi.org/10.23719/1529591",
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        "richness",
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      ],
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        "fn": "Luisa Riato",
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        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
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    },
    {
      "title": "Manuscript Data published 10.1016/j.wroa.2023.100181",
      "description": "The published manuscript with figures. \n\nThis dataset is associated with the following publication:\nGao, Y., B. Croze, Q. Birch, M. Nadagouda, and S. Mahendra. Sorghum-grown fungal biocatalysts for synthetic dye degradation.   Water Research X. Elsevier B.V., Amsterdam,  NETHERLANDS, 19: 100181, (2023).",
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      ],
      "identifier": "https://doi.org/10.23719/1531771",
      "keyword": [
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        "Synthetic Dye Degradation",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S2589914723000178",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S2589914723000178",
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    {
      "title": "Data For: Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks, Alaska, the N. Hemisphere, and the Contiguous United States",
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        "NAAQS",
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        "Aerosol"
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        "fn": "Sara Farrell",
        "hasEmail": "mailto:farrell.sara@epa.gov"
      },
      "distribution": [
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          "title": "https://ebas.nilu.no/",
          "accessURL": "https://ebas.nilu.no/",
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    {
      "title": "Source code for Base_Het and sensitivity model runs",
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      "identifier": "https://doi.org/10.23719/1531784",
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        "fine particulate matter (PM2.5)",
        "Air Quality Model"
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        "fn": "Sara Farrell",
        "hasEmail": "mailto:farrell.sara@epa.gov"
      },
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      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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    {
      "title": "Seigenthaler et al PFAS sources zone J.HazMaterials data",
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      "accessLevel": "public",
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        "geophysics"
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        "fn": "Douglas Werkema",
        "hasEmail": "mailto:werkema.d@epa.gov"
      },
      "distribution": [
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          "title": "Seigenthaler et al PFAS Source Zone J of Haz Materials meta data.docx",
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      ],
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    {
      "title": "Data describing reactive organic carbon and its potential health risk in wildfire smoke v1.0",
      "description": "This data archive supports the publication by Pye et al. 2024 applying the CMAQ model to FIREX-AQ field campaign. Links are provided for the standard CMAQ model, CRACMM chemical mechanism, and FIREX-AQ data archive. The zip file contents are described in the README.txt and include the exact CMAQ code used in this work, post processing code in python, code for creating plots, and some intermediate data files. ",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
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      ],
      "identifier": "https://doi.org/10.23719/1531092",
      "keyword": [
        "reactive organic carbon (ROC)",
        "wildfire",
        "CMAQ",
        "CRACMM",
        "Risk",
        "smoke",
        "hazardous air pollutants (HAPs)",
        "cancer"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/firexaq",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/firexaq",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://zenodo.org/doi/10.5281/zenodo.1079878",
          "accessURL": "https://zenodo.org/doi/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CRACMM",
          "accessURL": "https://github.com/USEPA/CRACMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "20241025pye.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531092/20241025pye.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531092/README.txt",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Ngo et al. (2024), \"Bridging Existing Energy and Chemical Transport Models to Enhance Air Quality Policy Assessment\"",
      "description": "This file describes the dataset used in the following article:\nNgo, S., B.N. Murphy, C.G. Nolte, K.E. Brown (2024), Bridging existing energy and chemical transport models to enhance air quality policy\nassessment. Environmental Modelling and Software, in press, available at https://doi.org/10.1016/j.envsoft.2024.106218.\nThe Community Multiscale Air Quality (CMAQ) model version 5.3.1 was used to simulate air pollutant concentrations over the continental United States using grid cells with 12km x 12km horizontal spacing, with the height of the lowest model layer around 38 m. \nThe model is open source and freely available on GitHub at https://github.com/USEPA/CMAQ.\n\nFiles included in this dataset:\nOutputs from The Integrated MARKAL-EFOM System (TIMES) model for each scenario. \nScenario-specific Emission Control files for the Community Multiscale Air Quality (CMAQ) model, as well as the R script used to create the Emission Control files from the TIMES outputs. \nAnnual mean concentrations of particulate matter smaller than 2.5 microns in diameter (PM2.5) and summer means of the daily 8-h average ozone level for each modeled scenario. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531756",
      "keyword": [
        "model integration",
        "air quality",
        "scenario planning",
        "grow-in-place"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
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          "title": "Ngo_etal.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531756/Ngo_etal.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
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      "modified": "2024-09-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EMF37_EPAUS9rTIMES scenario results",
      "description": "Dataset represents the final results of the EPAUS9r TIMES model scenario runs for the Energy Modeling Forum EMF 37. \n\nThis dataset is associated with the following publication:\nMelania, M., C. Lenox, M. Browning, D.L. McCollum, O. Bahn, and S. Ou. Modeling Hydrogen Markets: Energy System Model Development Status and Decarbonization Scenario Results.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 5: 100153, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531807",
      "keyword": [
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        "Hydrogen",
        "energy",
        "modeling",
        "net-zero",
        "climate change",
        "Carbon Management",
        "CO2",
        "Decarbonization",
        "energy systems",
        "transportation"
      ],
      "contactPoint": {
        "fn": "Carol Lenox",
        "hasEmail": "mailto:lenox.carol@epa.gov"
      },
      "distribution": [
        {
          "title": "EMF37_data_template_R2_v2_EPAUS9rT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531807/EMF37_data_template_R2_v2_EPAUS9rT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-22",
      "references": [
        "https://doi.org/10.1016/j.egycc.2024.100153"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531807/documents/EMF37_data_template_R2_v2.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Raw sequence data",
      "description": "Raw sequence data from wildland fire smoke plumes. \n\nThis dataset is associated with the following publication:\nBonfantine, K., D. Vuono, B. Christner, R. Moore, S. Fox, T. Dean, D. Betancourt, A. Watts, and L. Kobziar. Evidence for Wildland Fire Smoke Transport of Microbes From Terrestrial Sources to the Atmosphere and Back.   Journal of Geophysical Research: Biogeosciences. American Geophysical Union, Washington, DC, USA, 120(9): e2024JG008236, (2024).",
      "accessLevel": "public",
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      ],
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      ],
      "identifier": "https://doi.org/10.23719/1531803",
      "keyword": [
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        "climate change",
        "Air monitoring",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Timothy Dean",
        "hasEmail": "mailto:dean.timothy@epa.gov"
      },
      "distribution": [
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          "title": "zr4894.rawdata.211015.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531803/zr4894.rawdata.211015.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-03",
      "references": [
        "https://doi.org/10.1029/2024jg008236"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pipe scale analysis",
      "description": "A calcium phosphate solid formed as an unintended consequence of a novel high-pH orthophosphate lead corrosion control strategy in Providence, RI, causing some consumer complaints and clogged plumbing. The calcium phosphate initially precipitated at orthophosphate doses above about 2 mg/L as PO4 during field testing, and the extent of precipitation increased with water age and higher temperature. Lab scale tests confirmed that doses above about 2 mg/L were required to form the precipitate in the absence of pre-existing calcium phosphate solids, and that the solid formed quickly at 60 °C (upper range for hot water heaters) and tended to dissolve at lower pH. Solubility modeling and other techniques suggest the solids are a mixture of compounds. For water systems currently practicing a high pH/low alkalinity corrosion control strategy, orthophosphate dosing can enhance plumbosolvency control without risky pH reduction, but calcium hardness puts a constraint on the maximum orthophosphate level that can be applied and tolerated. \n\nThis dataset is associated with the following publication:\nDevine, C., K. Mello, M. Desantis, M. Schock, J. Tully, and M. Edwards. Calcium Phosphate Precipitation as an Unintended Consequence of Phosphate Dosing to High-pH Water.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 41(5): 171-215, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528531",
      "keyword": [
        "high pH",
        "Calcium",
        "solids analysis",
        "Orthophosphate"
      ],
      "contactPoint": {
        "fn": "Christina Devine",
        "hasEmail": "mailto:devine.christina@epa.gov"
      },
      "distribution": [
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "XRD data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528531/XRD%20data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-09-06",
      "references": [
        "https://doi.org/10.1089/ees.2023.0190"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mass balanced sediment elemental summary",
      "description": "Physical and compositional characteristics of drinking water storage tank sediment. \n\nThis dataset is associated with the following publication:\nLytle, D., C. Muhlen, S. Lippitt, E. Crockett, and R. Achtemeier. Physical and compositional characteristics of drinking water storage tank sediment.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 6(3): e1371, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531815",
      "keyword": [
        "Physical and compositional characteristics of drinking water storage tank sediment",
        "Drinking Water Sediment",
        "storage tank sediment"
      ],
      "contactPoint": {
        "fn": "Christy Muhlen",
        "hasEmail": "mailto:muhlen.christy@epa.gov"
      },
      "distribution": [
        {
          "title": "Sediment Color Summary photos.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/Sediment%20Color%20Summary%20photos.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Elemental Ave Figure State Density Porosity Sigma Plot data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/Elemental%20Ave%20Figure%20State%20Density%20Porosity%20Sigma%20Plot%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Total Carbon Results.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/Total%20Carbon%20Results.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mass Balanced Sediment Paper Elemental_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/Mass%20Balanced%20Sediment%20Paper%20Elemental_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure Tabulated Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/Figure%20Tabulated%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-29",
      "references": [
        "https://doi.org/10.1002/aws2.1371"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531815/documents/Elemental%20Ave%20Figure%20State%20Density%20Porosity%20Sigma%20Plot%20data%20set.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Northeastern U.S. State Consumption-Based Emission Inventories 2012-2020 - Supporting Files",
      "description": "These datasets include USEEIO State models for Connecticut (CT), Massachusetts (MA), Maine (ME), New Hampshire (NH), New Jersey (NJ), New York (NY), Rhode Island (RI), and Vermont (VT) for each year from 2012-2020 that were used to calculate the consumption-based emissions inventories (CBEI) for those states that are described in the associated publication. The models are provided in Excel format and 9 models for each year 2012-2020 are contained in  a ZIP archive for each state, where each zip file starts with the standard two-digit abbreviation for the state. Models for other states use the EPA disaggregated state inventory for that state. Models for ME, NY, and VT have \"GHGc\" in the file names because they were based on a custom state-provided Greenhouse Gas Inventory (GHGI). For each model in an Excel file, the tabs and fields are defined by the useeior Model specification format (see link below). The models can also be accessed in R data (.rds) format through the related link provided below. The file \"CBE_Totals_By_CommodityandRegion_NEstates_2012-2022.xlsx\" contains detailed results of the CBEI with total consumption-based emissions (CBE) in million metric tons by commodity and region of origin for each state for each year of the analysis. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531799",
      "keyword": [
        "embodied emissions",
        "Maine",
        "greenhouse gas emissions",
        "USEEIO",
        "Connecticut",
        "Massachusetts",
        "Rhode Island",
        "Vermont",
        "New Jersey",
        "New York",
        "New Hampshire",
        "CBEI"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "VTEEIOv1.1-GHGc-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/VTEEIOv1.1-GHGc-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NYEEIOv1.1-GHGc-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/NYEEIOv1.1-GHGc-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEEEIOv1.1-GHGc-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/MEEEIOv1.1-GHGc-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RIEEIOv1.1-GHG-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/RIEEIOv1.1-GHG-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NJEEIOv1.1-GHG-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/NJEEIOv1.1-GHG-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NHEEIOv1.1-GHG-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/NHEEIOv1.1-GHG-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MAEEIOv1.1-GHG-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/MAEEIOv1.1-GHG-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CTEEIOv1.1-GHG-2012-2020.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/CTEEIOv1.1-GHG-2012-2020.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CBE_Totals_By_CommodityandRegion_NEstates_2012-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531799/CBE_Totals_By_CommodityandRegion_NEstates_2012-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html#USEEIO-State/",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html#USEEIO-State/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/blob/13d78eb905997a2757049e95d489b22b3749e5c1/format_specs/Model.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Short-term PM2.5 exposure and early-readmission risk in Heart Failure Patients",
      "description": "In this manuscript EPA researchers used high resolution (1x1 km) modeled air quality data from a model built by Harvard collaborators to estimate the association between short-term exposure to air pollution and the occurrence of 30-day readmissions in a heart failure population. The heart failure population was taken from patients presenting to a University of North Carolina Healthcare System (UNCHCS) affiliated hospital or clinic that reported electronic health records to the Carolina Data Warehouse for Health (CDW-H). A description of the variables used in this analysis are available in the data dictionary (L:/PRIV/EPHD_CRB/Cavin/CARES/Data Dictonaries/HF short term PM25 and readmissions data dictionary.xlsx) associated with this manuscript. Analysis code is available in L:/PRIV/EPHD_CRB/Cavin/CARES/Project Analytic Code/Lauren Wyatt/DailyPM_HF_readmission. This dataset is not publicly accessible because: Dataset is PII in the form of electronic health records. It can be accessed through the following means: Data can be accessed with an approved IRB. Format: In this manuscript EPA researchers used high resolution (1x1 km) modeled air quality data from a model built by Harvard collaborators to estimate the association between short-term exposure to air pollution and the occurrence of 30-day readmissions in a heart failure population. The heart failure population was taken from patients presenting to a University of North Carolina Healthcare System (UNCHCS) affiliated hospital or clinic that reported electronic health records to the Carolina Data Warehouse for Health (CDW-H). A description of the variables used in this analysis are available in the data dictionary (L:/PRIV/EPHD_CRB/Cavin/CARES/Data Dictonaries/HF short term PM25 and readmissions data dictionary.xlsx) associated with this manuscript. Analysis code is available in L:/PRIV/EPHD_CRB/Cavin/CARES/Project Analytic Code/Lauren Wyatt/DailyPM_HF_readmission. \n\nThis dataset is associated with the following publication:\nWyatt, L., A. Weaver, J. Moyer, J. Schwartz, Q. Di, D. Diazsanchez, W. Cascio, and C. Ward-Caviness. Short-term PM2.5 exposure and early-readmission risk: A retrospective cohort study in North Carolina Heart Failure Patients.   American Heart Journal. Mosby Year Book Incorporated, Orlando, FL, USA, 248: 130-138, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524767",
      "keyword": [
        "electronic health records",
        "heart failure",
        "pm2.5",
        "readmissions"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-02-02",
      "references": [
        "https://doi.org/10.1016/j.ahj.2022.02.015",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064928"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients",
      "description": "This dataset was utilized to evaluate associations between accelerated epigenetic and transcriptomic age and NMR-measured metabolic and inflammatory biomarkers. It contains information on biological and chronological age, confounders, and NMR-measured 'omic profiles. This dataset is not publicly accessible because: The data is derived from medical records which cannot be disclosed per federal law (HIPPA) and existing data use agreements. It can be accessed through the following means: The data can be accessed via sending a request to the CATHGEN Executive Committee (https://dmpi.duke.edu/studies/cathgen). An approved IRB application may be required by the committee. Format: The data is tabular data containing columns specifying the epigenetic and transcriptomic age of the individuals along with NMR-measured metabolic biomarkers. Social and demographic confounders are are included within the dataset. \n\nThis dataset is associated with the following publication:\nRaab, H., E. Hauser, L. Kwee, S. Shah, W. Kraus, and C. Ward-Caviness. Associations among NMR-measured inflammatory and metabolic biomarkers and accelerated aging in cardiac catheterization patients.   Aging. Impact Journals, LLC, Orchard Park, NY, USA, 16(8): 6652-6672, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531042",
      "keyword": [
        "NMR",
        "inflammation",
        "metabolic dysfunction",
        "Aging",
        "transcriptomic aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-23",
      "references": [
        "https://doi.org/10.18632/aging.205758",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11087135"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used for Kang J Hydrology 2024",
      "description": "USGS flow data used in the following paper: \n\nKang, H., Cole, R.P., Miralha, L., Compton, J.E. and Bladon, K.D., 2024. Hydrologic responses to wildfires in western Oregon, USA. Journal of Hydrology, 639, p.131612. \n\nThis dataset is associated with the following publication:\nKang, H., R. Cole, L. Miralha, J. Compton, and K. Bladon. Hydrologic responses to wildfires in western Oregon, USA.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 639: 131612, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531801",
      "keyword": [
        "hydrology",
        "Watershed",
        "Wildland Fire",
        "forest",
        "runoff",
        "evapotranspiration"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://waterdata.usgs.gov/nwis/uv/?referred_module=sw",
          "accessURL": "https://waterdata.usgs.gov/nwis/uv/?referred_module=sw",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-29",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2024.131612"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531801/documents/KangEtAl_Manuscript_JoH_2024-05-28.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "PISCES lung dataset",
      "description": "This dataset contains ambient air pollution data during the study period and lung function and biomarkers data. \n\nThis dataset is associated with the following publication:\nTong, H., S. Zhang, W. Shen, H. Chen, C. Salazar, A. Schneider, A. Rappold, D. Diaz-Sanchez, R. Devlin, and J. Samet. Lung Function and Short-Term Ambient Air Pollution Exposure: Differential Impacts of Omega-3 and Omega-6 Fatty Acids.   Annals of the American Thoracic Society. American Thoracic Society, New York, NY, USA, 19(4): 583-593, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1521326",
      "keyword": [
        "lung function",
        "O3",
        "pm2.5",
        "omega-3 fatty acid",
        "omega-6 fatty acid",
        "inflammation",
        "oxidative stress"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "PISCES-lung-sciHub data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1521326/PISCES-lung-sciHub%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-04-08",
      "references": [
        "https://doi.org/10.1513/annalsats.202107-767oc"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata Entry for \"A critical evaluation of parametric models for predicting faecal indicator bacteria concentrations in greywater\"",
      "description": "Metadata for \"A critical evaluation of parametric models for predicting faecal indicator bacteria concentrations in greywater\". \nPlease contact the corresponding author Émile Sylvestre at emilesylvestre33@gmail.com to request the data. This dataset is not publicly accessible because: Non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Émile Sylvestre at emilesylvestre33@gmail.com. Format: XLSX and/or CSV files. \n\nThis dataset is associated with the following publication:\nSylvestre, E., M. Jahne, E. Reynaert, E. Morgenroth, and T. Julian. A critical evaluation of parametric models for predicting faecal indicator bacteria concentrations in greywater.   Microbial Risk Analysis. Elsevier B.V., Amsterdam,  NETHERLANDS, 26: 100297, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529979",
      "keyword": [
        "water treatment",
        "QMRA",
        "health risks",
        "greywater reuse",
        "Escherichia coli",
        "poisson lognormal distribution"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-04",
      "references": [
        "https://doi.org/10.1016/j.mran.2024.100297"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sampling and Recovery of Infectious SARS-CoV-2 from High-Touch Surfaces with Stick Sponges and Macrofoam Swabs",
      "description": "excel spreadsheet. \n\nThis dataset is associated with the following publication:\nHardison, R.L., S. Lee, R. Limmer, J. Marx, B.M. Taylor, D. Barriga, S.W. Nelson, N. Feliciano-Ruiz , M.J. Stewart, W. Calfee, R.R. James, S. Ryan, and M.W. Howard. Sampling and Recovery of Infectious SARS-CoV-2 from High-Touch Surfaces with Sponge Stick and Macrofoam Swab.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 20(11): 506-519, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526548",
      "keyword": [
        "Macrofoam s",
        "sampling and analysis",
        "SARS-CoV-2",
        "stick sponge"
      ],
      "contactPoint": {
        "fn": "Sangdon Lee",
        "hasEmail": "mailto:lee.sangdon@epa.gov"
      },
      "distribution": [
        {
          "title": "2021-1~1.XLS",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526548/2021-1~1.XLS",
          "mediaType": "application/vnd.ms-excel",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-05-18",
      "references": [
        "https://doi.org/10.1080/15459624.2023.2231516"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data Tables",
      "description": "Data tables are in two excel file worksheets. The first sheet, labeled 'Fitted Filtration Efficiency' has columns with subject, mask & condition (baseline or with clip), Chamber Relative Humidity (%) and Temperature (degrees Celsius), the Overall Fitted Filtration Efficiency mean (across four exercises) and standard deviation. The second sheet, labeled 'Sex' has columns with the subject number and their biological sex (F = Female, M = Male). \n\nThis dataset is associated with the following publication:\nPennington, E., J. Griffin, E. McInroe, W. Steinhardt, H. Chen, J. Samet, and S. Prince. Variation in the Fitted Filtration Efficiency of Disposable Face Masks by Sex.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  s41370-024-00697-4, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531694",
      "keyword": [
        "Face masks",
        "fitted filtration efficiency",
        "Ear loop clip",
        "air pollution",
        "Face filtering piece",
        "Wildfire smoke"
      ],
      "contactPoint": {
        "fn": "Steven Prince",
        "hasEmail": "mailto:prince.steven@epa.gov"
      },
      "distribution": [
        {
          "title": "science_hub_total_table.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531694/science_hub_total_table.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-14",
      "references": [
        "https://doi.org/10.1038/s41370-024-00697-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Michigan SciHUB Table 1 final",
      "description": "The metadata for Table 1 is the raw data and averages for each of the physical and chemical measurements made. Each tab in the Excel file is labeled with the analyte covered. \n\nThe 16S rRNA sequence data is the assembled sequences for each of the samples used to create the Figures  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531016",
      "keyword": [
        "glucose",
        "cyanobacteria",
        "Hydrogen Peroxide",
        "mesocosm",
        "Freshwater"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Michigan SciHUB Table 1 final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531016/Michigan%20SciHUB%20Table%201%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw data presented in manuscript \"The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain\" by O'Shaughnessy et al. 2024.",
      "description": "Raw data to accompanying manuscript \"The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain\". \n\nThis dataset is associated with the following publication:\nO'Shaughnessy, K., K. Bell, A. Sasser, M. Gilbert, C. Riutta, J. Ford, J. McCord, and C. Wood. The Pollutant Perfluorohexane Sulfonate (PFHxS) Reduces Serum Thyroxine but Does Not Alter Thyroid Hormone Action in the Postnatal Rat Brain.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 190: 108838, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530334",
      "keyword": [
        "PFAS",
        "developmental neurotoxicity",
        "Adverse Outcome Pathways (AOPs)",
        "RNA-Seq",
        "thyroid",
        "toxicokinetics",
        "Children's Environmental Health",
        "PFHxS"
      ],
      "contactPoint": {
        "fn": "Katherine O'Shaughnessy",
        "hasEmail": "mailto:oshaughnessy.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "OShaughnessy et al Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530334/OShaughnessy%20et%20al%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-31",
      "references": [
        "https://doi.org/10.1016/j.envint.2024.108838"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Manuscript dataset for ORD-061487",
      "description": "Dataset associated with manuscript titled, \"Impact of residential hot water heater type and water stagnation on drinking water quality within a full-scale premise plumbing system\" \n\nSTICS ORD-061487. \n\nThis dataset is associated with the following publication:\nBuse, H., J. Steenbock, S. Okum, N. Sojda, S. Kidney, J. Brossart, D. Elstun, E. Weaver, and S. Witt. Impact of residential hot water heater type and water stagnation on drinking water quality within a full-scale premise plumbing system.   Environmental Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 18: 100599, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531135",
      "keyword": [
        "contaminants",
        "disinfection byproducts",
        "faucet",
        "monitoring",
        "public health",
        "Sensors"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse 2024_SciHub_HS.404.1.2.1 dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531135/Buse%202024_SciHub_HS.404.1.2.1%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-25",
      "references": [
        "https://doi.org/10.1016/j.envadv.2024.100599"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Surface Sampling for Non-Spore-Forming Bacteria Manuscript Dataset 2023",
      "description": "Recovery Data for non-spore-forming bacteria, used as surrogates for select agents in surface sampling laboratory tests. Three surface sampling devices (3M sponge stick, LabPlas Sani-stick, and Solar Cult sponge, were used to attempt collection of E. coli, Y. ruckerii, and S. marcescens on Glass, ABS Plastic, and Stainless Steel. These data are useful for selection of surface sampling methods following a contamination incident. \n\nThis dataset is associated with the following publication:\nAslett, L., M. Calfee, M. Monge, A. Abdel-Hady, T. Chamberlain, R. Baartmans, and A. Touati. Evaluation of Sponge Wipe Surface Sampling for Collection of Potential Surrogates for Non-spore-forming Bioterrorism Agents.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 135(5): lxae097, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529860",
      "keyword": [
        "sampling",
        "Cleanup",
        "biological",
        "surrogate",
        "select agent"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "Non-Spore Sampling Manuscript Data Summary for SciHub 11-27-23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529860/Non-Spore%20Sampling%20Manuscript%20Data%20Summary%20for%20SciHub%2011-27-23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-27",
      "references": [
        "https://doi.org/10.1093/jambio/lxae097"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Estimating National Sludge Generation and Disposal from US Drinking Water and Wastewater Treatment Plants ",
      "description": "Quantities of sewage sludge from external sources, formatted and normalized for use in modeling or quantification analyses. \n\nThis dataset is associated with the following publication:\nKrause, M., and K. Bronstein. Estimating National Sludge Generation and Disposal from US Drinking Water and Wastewater Treatment Plants.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 453: 142121, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529429",
      "keyword": [
        "Sewage Sludge",
        "biosolids",
        "Municipal Wastewater Treatment Plant",
        "Landfill",
        "land application"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Scihub Sludge Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529429/Scihub%20Sludge%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-21",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2024.142121"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Degradation of immediate precursors figures",
      "description": "Data corresponding to figures in manuscript. \n\nThis dataset is associated with the following publication:\nVenkatapathy, R., R. Kauchak, J. Botkins, and M. Magnuson. Degradation of Immediate Precursors of Fentanyl and Fentalogs.   Forensic Chemistry. Elsevier B.V., Amsterdam,  NETHERLANDS, 39: 100573, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530552",
      "keyword": [
        "homeland security",
        "water treatment",
        "Disposal",
        "water security"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Degradation of immediate precursors figures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530552/Degradation%20of%20immediate%20precursors%20figures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-23",
      "references": [
        "https://doi.org/10.1016/j.forc.2024.100573"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata Entry for \"Non-targeted Analysis and Toxicity Prediction for Evaluation of Photocatalytic Membrane Distillation Removing Organic Contaminants from Hypersaline Oil and Gas Field-Produced Water\"",
      "description": "Metadata entry for \"Non-targeted Analysis and Toxicity Prediction for Evaluation of Photocatalytic Membrane Distillation Removing Organic Contaminants from Hypersaline Oil and Gas Field-Produced Water\".  Please contact the corresponding author Pei Xu at pxu@nmsu.edu to request the data. This dataset is not publicly accessible because: The data is non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Pei Xu at pxu@nmsu.edu to request the data. Format: XLSX and/or CSV files. \n\nThis dataset is associated with the following publication:\nM.K. Delanka-Pedige, H., R. B. Young, M. T. Abutokaikah, L. Chen, H. Wang, K. A.B.I. Imihamillage, S. Thimons, M. A. Jahne, A. J. Williams, Y. Zhang, and P. Xu. Non-targeted Analysis and Toxicity Prediction for Evaluation of Photocatalytic Membrane Distillation Removing Organic Contaminants from Hypersaline Oil and Gas Field-Produced Water.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 471: 134436, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530279",
      "keyword": [
        "vacuum membrane distillation",
        "toxicity prediction",
        "produced water treatment",
        "photocatalytic membrane distillation",
        "non-targeted screening"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2024-02-14",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.134436"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LPMA Hot Water",
      "description": "QPCR results of M. avium, M. intracellulare, and M. abscessus in hot water from homes and building. \n\nThis dataset is associated with the following publication:\nDonohue, M., and J. Mistry. Building size and disinfectant type influence the detection and concentration of Mycobacterium spp. in hot water plumbing.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 927: 172112, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529612",
      "keyword": [
        "Premise Plumbing",
        "pathogens",
        "hot water"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_LPMA_Hotwater.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529612/SciHub_LPMA_Hotwater.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.172112"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Microbial Treatment Targets for Potable and Non-Potable Water Reuse – A Comprehensive Update and Harmonization\"",
      "description": "An Excel file containing spreadsheets that align with each of the tables in the paper. \n\nThis dataset is associated with the following publication:\nA. Jahne, M., M. E. Schoen, J. L. Garland, S. P. Nappier, and J. A. Soller. Microbial Treatment Targets for Potable and Non-Potable Water Reuse – A Comprehensive Update and Harmonization.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 11(11): 1136-1259, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531005",
      "keyword": [
        "log reduction",
        "pathogens",
        "QMRA",
        "Risk Assessment",
        "water reuse"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531005/Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-17",
      "references": [
        "https://doi.org/10.1021/acs.estlett.4c00512"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Membrane Malathion Paper Dataset",
      "description": "% Rejection of Salt and Malathion and Flux of Salt and Malathion data for a reverse osmosis and a nanofiltration membrane. \n\nThis dataset is associated with the following publication:\nMikelonis, A., C. Orme, A. Nilkar, J. Szabo, and S. Reese. Rejection of malathion by nanofiltration and reverse osmosis membranes exposed to foulant and two clean-in-place procedures.   Water Supply. IWA Publishing, London,  UK, 24(4): 1196-1206, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529271",
      "keyword": [
        "membrane treatment",
        "homeland security",
        "water treatment",
        "malathion"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHubData7_18_23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529271/SciHubData7_18_23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-18",
      "references": [
        "https://doi.org/10.2166/ws.2024.043"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spore-Bioretention Cell Stormwater Data",
      "description": "These data contain results of a field study evaluating the capture and release of Bacillus globigii spores from two different media filled bioretention cells located in Ohio. Simulated storm events were used to evaluate spore retention in the stormwater control measures. \n\nThis dataset is associated with the following publication:\nBoening-Ulman, K., A. Mikelonis, J. Heckman, M. Calfee, K. Ratliff, S. Youn, J. Smith, C. Mitchell, W. Hunt, and R. Winston. The potential to manage releases of Bacillus anthracis using bioretention and a high flow media filter: Results of simulated runoff testing with tracer spores Bacillus globigii.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 354: 120286, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528917",
      "keyword": [
        "emergency response",
        "Bacillus anthracis",
        "Urban Watersheds",
        "stormwater"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "BG_Soil_Stormwater Tracer Field Study_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528917/BG_Soil_Stormwater%20Tracer%20Field%20Study_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bg Study for R Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528917/Bg%20Study%20for%20R%20Results.xlsx",
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      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "gun fire meta data",
      "description": "excell of chemistry and toxicology data. Portions of this dataset are inaccessible because: it is. They can be accessed through the following means: click and open. Format: excel. \n\nThis dataset is associated with the following publication:\nKim, Y.H., S. Vance, J. Aurell, A. Holder, J. Pancras, B. Gullett, S. Gavett, K. McNesby, and M. Gilmour. Comparative Chemistry and Lung Toxicity of Particulate Matter Emitted from Small Firearms: Handgun vs. Rifle.   Scientific Reports. Nature Publishing Group, London,  UK, 12: 20722, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527732",
      "keyword": [
        "gunfire smoke toxicology"
      ],
      "contactPoint": {
        "fn": "Matthew Gilmour",
        "hasEmail": "mailto:gilmour.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Research Data_SDMP_gun fire study.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527732/Research%20Data_SDMP_gun%20fire%20study.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-07-13",
      "references": [
        "https://doi.org/10.1038/s41598-022-24856-5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715551"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "burnpit computational data",
      "description": "meta data. \n\nThis dataset is associated with the following publication:\nKim, Y.H., J. Rager, I. jaspers, and M. Gilmour. Computational Approach to Link Chemicals in Anthropogenic Smoke Particulate Matter with Toxicity.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 35(12): 2210-2213, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527851",
      "keyword": [
        "burn pit",
        "toxicology",
        "lung",
        "bioinformatics"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "SDMP_computational analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527851/SDMP_computational%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-11",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.2c00270",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10959450"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vitamin D status in relation to inflammatory risk and albuminuria associated with polycyclic aromatic hydrocarbon exposure in the US population",
      "description": "The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. NHANES is a major program of the National Center for Health Statistics (NCHS). NCHS is part of the Centers for Disease Control and Prevention (CDC) and has the responsibility for producing vital and health statistics for the Nation. \n\nThis dataset is associated with the following publication:\nKadry, A., Y. Lin, J. Caffrey, M. Faramawi, and B. Sonawane. Vitamin D status in relation to inflammatory risk and albuminuria associated with polycyclic aromatic hydrocarbon exposure in the US population.   Human and Ecological Risk Assessment: An International Journal. Taylor & Francis Group, London,  UK, 78(2): 88-97, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531863",
      "keyword": [
        "polycyclic aromatic hydrocarbons",
        "INFLAMMATORY",
        "PAH",
        "Vitamin D"
      ],
      "contactPoint": {
        "fn": "Yu-Sheng Lin",
        "hasEmail": "mailto:lin.yu-sheng@epa.gov"
      },
      "distribution": [
        {
          "title": "https://wwwn.cdc.gov/nchs/nhanes/default.aspx",
          "accessURL": "https://wwwn.cdc.gov/nchs/nhanes/default.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-06-29",
      "references": [
        "https://doi.org/10.1080/19338244.2022.2090890",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11044198"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TEMMS Groundwater and Surface Water Monitoring Data: October 2022-March 2023",
      "description": "The data compiled in this file were collected at the Theis-Nash Environmental Monitoring and Modeling Site managed by the University of Cincinnati.  The monitoring network consisted of ten shallow piezometers installed in a compound bar within the Great Miami River.  A stilling well was also installed within the river channel to monitor surface water stage.  These locations were instrumented with logging pressure transducers and STIC loggers to collect a continuous record of water elevation, temperature, and specific conductance.  Pressure data were converted to absolute elevation based on manual depth to water measurements from surveyed reference locations at the top of piezometer casings and stilling well support post.  STIC relative conductivity readings were converted to specific conductance using calibration relationships developed for each logger prior to deployment and subsequent benchmarking to manual measurements of specific conductance within the piezometers and the river conducted during the deployment period.  Data from the transducers and STIC sensors were acquired during the period from October 2022 to March 2023; manual measurements were conducted during periods of low stage when the compound bar was exposed within the river channel. \n\nThis dataset is associated with the following publication:\nMcGarr, J.T., P. Li, R.G. Ford, T. Kleman, C. Fields, J. Hobbs, L. Lupton, E. Poston, T. Marsh, L. Trutschel, K.M. Fritz, A. Rowe, C.D. Wallace, D. Ward, D.M. Sturmer, C. Dietsch, M. Naber, B.K. Lien, and M.R. Soltanian. Uncovering the hidden world of riverbed sediments: The role of sediment heterogeneity and cross-bar channel fills in the hydrogeochemical dynamics of the hyporheic zone.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 644: 132062, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531767",
      "keyword": [
        "groundwater elevation",
        "surface water elevation",
        "water temperature",
        "water conductivity",
        "Hydraulic Gradient"
      ],
      "contactPoint": {
        "fn": "Robert Ford",
        "hasEmail": "mailto:ford.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "TEMMS_GW-SW_Monitoring_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531767/TEMMS_GW-SW_Monitoring_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-07",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2024.132062"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "IBWC_Monitoring_Data",
      "description": "Twenty four months of daily water quality results (Daily sediment loads, concentrations of Fecal Indicator Bacteria)  will be made available electronically and shared with public via the IBWC GIS-based website (https://usibwc.maps.arcgis.com/apps/webappviewer/index.html?id=7be2cf73494c4847ab44718492c48315). \n\nThis dataset is associated with the following publication:\nMladenov, N., T. Biggs, K. Ford, S. Garcia, Y. Yuan, A. Grant, E. Piazza, E. Rivera, F. Pinongcos, S. Keely, C. Summerlin, J. Crooks, and D. Liden. Evaluation of real-time fluorescence sensors and benchtop fluorescence for tracking and predicting sewage contamination in the Tijuana River Estuary at the US-Mexico border.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 950(November): 175137, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531797",
      "keyword": [
        "wastewater",
        "Tryptophan",
        "fluorescence",
        "telemetry",
        "coastal",
        "pollution",
        "fecal indicator bacteria",
        "tryptophan monitor"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Mladenov_et_al_Fig2data_Region_9_ROAR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531797/Mladenov_et_al_Fig2data_Region_9_ROAR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mladenov_et_al_data_Region_9_ROAR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531797/Mladenov_et_al_data_Region_9_ROAR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-19",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.175137"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ES&T Letters on Isoprene Alkane Triols",
      "description": "Supporting Information for ES&T Letters publication on formation of Isoprene Triols. \n\nThis dataset is associated with the following publication:\nFrauenheim, M., J. Offenberg, Z. Zhang, J. Surratt, and A. Gold. The C5–Alkene Triol Conundrum: Structural Characterization and Quantitation of Isoprene-Derived C5H10O3 Reactive Uptake Products.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 9(10): 829-836, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531753",
      "keyword": [
        "SOA",
        "partitioning",
        "isoprene",
        "fine particulate matter (PM2.5)"
      ],
      "contactPoint": {
        "fn": "John Offenberg",
        "hasEmail": "mailto:offenberg.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/10.1021/acs.estlett.2c00548",
          "accessURL": "https://pubs.acs.org/doi/10.1021/acs.estlett.2c00548",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-09-28",
      "references": [
        "https://doi.org/10.1021/acs.estlett.2c00548"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pubs.acs.org/doi/10.1021/acs.estlett.2c00548"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for A rapid assessment bioaccumulation screening (RABS) study design for emerging per-and polyfluoroalkyl substances in mice exposed to industrially impacted surface water",
      "description": "All data tables are available in the publication and uploaded onto ScienceHub. \n\nThis dataset is associated with the following publication:\nBangma, J., T.C. Guillette, M. Strynar, A. Lindstrom, J. McCord, D. Jenkins-Hill, C. Lau, N. Chernoff, and J. Lang. A rapid assessment bioaccumulation screening (RABS) study design for emerging per-and polyfluoroalkyl substances in mice exposed to industrially impacted surface water.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 308(1): 136159, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527942",
      "keyword": [
        "bioaccumulation",
        "HFPO-DA",
        "Environmental Justice",
        "PFAS",
        "GenX"
      ],
      "contactPoint": {
        "fn": "Jacqueline Bangma",
        "hasEmail": "mailto:bangma.jacqueline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.chemosphere.2022.136159",
          "accessURL": "https://doi.org/10.1016/j.chemosphere.2022.136159",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ditch Study- RABS Data Tables for SciHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527942/Ditch%20Study-%20RABS%20Data%20Tables%20for%20SciHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-03",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2022.136159"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets supporting bimetallic catalyst system for degradading PCBs in sediment",
      "description": "Analytical and environmental measurement data generated to support the identification of a bimetallic catalyst system for the degradation of PCBs in sediment. This dataset is not publicly accessible because: There are numerous data files, and they are large. It can be accessed through the following means: Data can be shared approriately upon request. Format: All the project data and records are currently stored in electronic files. The electronically recorded data generated by the instruments is stored in each instrument's computer and the data files are recorded in the ORD network drive. C:\\Users\\SALABED\\OneDrive - Environmental Protection Agency (EPA)\\Profile\\Documents\\Alabed\\Manuscripts\\LSU RAC\\Version 4. \n\nThis dataset is associated with the following publication:\nSubramanian , B., D. Lay, S.R. Al-Abed, J.L. McKernan, and S. Lomnicki. Bimetallic catalyst system for the degradation of PCBs in sediments.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 365: 143341, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531871",
      "keyword": [
        "nano-bimetallic catalyst",
        "2-Chlorobiphenyl",
        "aquatic",
        "remediation",
        "sediment",
        "PCB degradation",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-09",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.143341"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cardiopulmonary effects of isoprene- versus toluene-generated smog",
      "description": "This dataset includes cardiovascular and pulmonary endpoints from rats exposed to either filtered air, isoprene-smog or toluene-smog. \n\nThis dataset is associated with the following publication:\nSnow , S., J. Krug, J. Turlington, J. Richards, M. Schladweiler, A. Ledbetter, Q. Krantz, C. King, M. Gilmour, S. Gavett, U. Kodavanti, A. Farraj, and M. Hazari. Differential Cardiopulmonary Effects of Isoprene- versus Toluene-generated Photochemically-Aged Smog in Rats.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 295: 119525, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527882",
      "keyword": [
        "simulated smog atmospheres",
        "isoprene",
        "toluene",
        "Rats",
        "cardiopulmonary",
        "Acute Inhalation Study"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub_MRCData_MR065_MR067_MR072.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527882/ScienceHub_MRCData_MR065_MR067_MR072.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Science hub toluene isoprene 6-14-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527882/Science%20hub%20toluene%20isoprene%206-14-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MSH_16_1 isoprene vs MSH_16_3 toluene_Hazari.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527882/MSH_16_1%20isoprene%20vs%20MSH_16_3%20toluene_Hazari.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-15",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119525"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "United States Estimated Water Sources - 2020 Census Blocks",
      "description": "This dataset contains the results of EPAs estimates for domestic water supply in The United States for 2020 census blocks. The file is a comma-delimited text file, which contains records for 2020 census blocks. This data can be used to estimate the number of housing units and populations that are estimated to be using either private water supplies such as domestic wells or connected to a community water system. These results are estimates and should not be used to convey exact counts of well or public water users. For a full description of the data, please refer to the GitHub page: https://github.com/USEPA/ORD_Water_Source_2020/tree/main/outputs.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531806",
      "keyword": [
        "drinking water",
        "Drinking water (Groundwater)",
        "Domestic Well",
        "Public Water Use",
        "public water systems (PWSs)",
        "community water systems",
        "GIS"
      ],
      "contactPoint": {
        "fn": "Andrew Murray",
        "hasEmail": "mailto:murray.andrewr@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/ORD_Water_Source_2020/tree/main/outputs",
          "accessURL": "https://github.com/USEPA/ORD_Water_Source_2020/tree/main/outputs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-11-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Residential greenness, asthma, and lung function among children at high risk of allergic sensitization: a prospective cohort study",
      "description": "Personal identifying information include residential addresses and clinical data from longitudinal follow-up evaluations in a prospective cohort from the Cincinnati Childhood Allergy and Air Pollution Study.  The greenness exposure data was based on the Normalized Difference Vegetation Index (NDVI) estimated from satellite measurements. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author upon reasonable request. \r\nContact Information: Kim.Hartley@cchmc.org. Format: Personal identifying information include residential addresses and clinical data from longitudinal follow-up evaluations in a prospective cohort from the Cincinnati Childhood Allergy and Air Pollution Study.  The greenness exposure data was based on the Normalized Difference Vegetation Index (NDVI) estimated from satellite measurements.  Data size and format is unknown given non-EPA generated data. \n\nThis dataset is associated with the following publication:\nHartley, K., G. Rice, P. Ryan, G. Gillespie, G. Donovan, R. Gernes, G. Khurana Hershey, G. Lemasters, M. Wright, and C. Brokamp. Residential greenness, asthma, and lung function among children at high risk of allergic sensitization: a prospective cohort study.   ENVIRONMENTAL HEALTH. Academic Press Incorporated, Orlando, FL, USA, 21(1): 52, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531858",
      "keyword": [
        "respiratory",
        "asthma",
        "lung function",
        "Greenspace"
      ],
      "contactPoint": {
        "fn": "John Wright",
        "hasEmail": "mailto:wright.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2022-05-12",
      "references": [
        "https://doi.org/10.1186/s12940-022-00864-w",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097404"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Regional variation for tree critical loads across the U.S.",
      "description": "This dataset encompasses a re-analysis of data from Horn et al. (2018) to determine regional tree growth and survival response to nitrogen and sulfur deposition across the United States. Tree responses are matched with additional climate (temperature, precipitation), edaphic (soil pH), deposition (N and S deposition), and biotic covariates (tree deciduousness and mycorrhizal association). A full list of datasets and R code are available in Appendix S3 in the forthcoming peer-reviewed publication.\n\nHorn, Kevin J., et al. \"Growth and survival relationships of 71 tree species with nitrogen and sulfur deposition across the conterminous US.\" PloS one 13.10 (2018): e0205296.\n\nFor more information about the each file included, see \"README_TreeCLA1_FFGC.pdf\" in the supporting documents tab. A data dictionary is included with the each file as additional \"README\" or \"meta\" tabs in .xlsx documents and a forthcoming peer reviewed publication describes the methodologies. \n\nThis dataset is associated with the following publication:\nDalton, R.M., J.N. Miller, T. Greaver, R.D. Sabo, K.G. Austin, J.N. Phelan, R.Q. Thomas, and C.M. Clark. Regional variation in growth and survival responses to atmospheric nitrogen and sulfur deposition for 140 tree species across the United States.   Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 7: 1426644, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529764",
      "keyword": [
        "biodiversity",
        "sulfur",
        "ecology",
        "atmospheric deposition",
        "climate",
        "critical loads",
        "Nitrogen and Co-pollutants",
        "Trees"
      ],
      "contactPoint": {
        "fn": "Rebecca Dalton",
        "hasEmail": "mailto:dalton.rebecca@epa.gov"
      },
      "distribution": [
        {
          "title": "data_Rcode_regionaltree_FFGC.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529764/data_Rcode_regionaltree_FFGC.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-11",
      "references": [
        "https://doi.org/10.3389/ffgc.2024.1426644"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ESAT: Environmental Source Apportionment Toolkit Python package",
      "description": "The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting environmental datasets. Source apportionment in environment science is the process of mathematically estimating the profiles and contributions of multiple sources in some dataset, and in the case of ESAT, while considering data uncertainty. There are many potential use cases for source apportionment in environmental science research, such as in the fields of air quality, water quality and potentially many others.\n\nThe ESAT toolkit is written in Python and Rust, and uses common packages such as numpy, scipy and pandas for data processing. The source apportionment algorithms provided in ESAT include two variants of non-negative matrix factorization (NMF), both of which have been written in Rust and contained within the python package. A collection of data processing and visualization features are included for data and model analytics. The ESAT package includes a synthetic data generator and comparison tools to evaluate ESAT model outputs.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531870",
      "keyword": [
        "Positive matrix factorization (PMF)",
        "PMF",
        "source apportionment",
        "Python",
        "Open Source",
        "Matrix Factorization"
      ],
      "contactPoint": {
        "fn": "Deron Smith",
        "hasEmail": "mailto:smith.deron@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/quanted/esat",
          "accessURL": "https://github.com/quanted/esat",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/quanted/esat/archive/refs/tags/v2024.0.3-alpha.zip",
          "accessURL": "https://github.com/quanted/esat/archive/refs/tags/v2024.0.3-alpha.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531870/documents/LICENSE.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Lewandowski et al alkene oxidation mutagenicity data 10-28-24",
      "description": "Below are the raw mutagenicity data for two categories of experiments:  (1) a VOC + UV and NOx (Figure 1) and (2) a VOC + ozone (Figure 3).  The data are the number of mutant colonies (called revertants or rev) per petri plate of strain TA100 of Salmonella using the Salmonella (Ames) mutagenicity assay as described below.\nGeneration of Simulated Atmospheres.  The details of how the atmospheres were generated have been described previously.  Briefly, the precursor hydrocarbon, along with NO and low concentration ammonium sulfate seed aerosol, were injected continuously into a 14.5-m3 smog chamber until concentrations of ~10 ppmC hydrocarbon and ~500 ppbv NO were achieved.  Relative humidity within the chamber was held at 30%. The mixture was then irradiated and allowed to come to steady state before exposing the Salmonella cells at the air-agar interface to the resulting atmosphere to assess mutagenic potential.  Input and sampling flows were such that the average chamber residence time was ~4.5 h.    \nMutagenicity Assays.  The Salmonella plate-incorporation assay using the base-substitution strain TA100 was used as described previously. When the smog-chamber reactions reached steady state, we delivered a continuous and constant concentration of the atmosphere into the MICs.  We exposed the cells for 5 or more time periods spanning 10 min to 16 h, depending on the mutagenic potency and cytotoxicity of the atmosphere.  After exposures, we incubated the plates at 37C for 3 days and then counted the resulting mutant colonies, revertants (rev), on an automatic colony counter (ProtoCOL 3, Microbiology International, Frederick, MD). We conducted two independent mutagenicity experiments with two plates per time point with each atmosphere, resulting in a total of four plates per time point.  We combined the mutagenicity data (rev plate-1) from two replicate experiments to construct exposure time-response curves from which we calculated linear regressions; the slopes were the mutagenic potencies of the atmospheres expressed as rev h-1.  These rev h-1 values were normalized to the estimated mass concentration of non-precursor gas-phase carbon during the exposure to give mutagenic potencies expressed as rev m3 mgC-1 h-1 ± SE.  A positive mutagenic response was considered to be a reproducible, time-related increase in rev plate-1 that approached or exceeded a twofold increase relative to the unexposed spontaneous control and whose slopes were significantly (p < 0.05) greater than zero based on a trend test.  Linear regressions (slopes), p-values, and r2-values were calculated using Prism (GraphPad, San Diego, CA).  Pair-wise comparisons of mutagenic potencies were made by two-tailed Student’s t-tests using Prism. \n\nThis dataset is associated with the following publication:\nLewandowski, M., T. Riedel, J. Krug, T. Kleindienst, M. Meier, A. Long, S. Warren, and D. DeMarini. Molecular Compositions, Mutagenicity, and Mutation Spectra of Atmospheric Oxidation Products of Alkenes and Dienes Initiated by NOx + UV or Ozone: A Structure-Activity Analysis.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(12): 18846−18855, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531800",
      "keyword": [
        "Smog chamber",
        "dienes",
        "photooxidation products",
        "CIMS",
        "VOCs",
        "Salmonella"
      ],
      "contactPoint": {
        "fn": "Michael Lewandowski",
        "hasEmail": "mailto:lewandowski.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Alkene oxidation mutagenicity data 10-28-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531800/Alkene%20oxidation%20mutagenicity%20data%2010-28-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-28",
      "references": [
        "https://doi.org/10.1021/acs.est.4c04603",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11588028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA-generated data associated with the manuscript \"Health and air pollutant emission impacts of Net Zero CO2 by 2050 scenarios from the Energy Modeling Forum 37 study\"",
      "description": "Data associated with EPA-generated figures in the manuscript \"Health and air pollutant emission impacts of Net Zero CO2 by 2050 scenarios from the Energy Modeling Forum 37 study.\". Portions of this dataset are inaccessible because: The Energy Modeling Forum embargos these data for a period after the completion of the exercise. Future public release is expected. They can be accessed through the following means: Modeling outputs generated by the EMF37 modeling teams are included in the EMF37 Scenario Explorer. The data are submitted to the International Institute of Applied Systems Analyses (IIASA) and will eventually be accessible via the EMF37 Scenario Explorer on the IIASA website. (https://data.ece.iiasa.ac.at/). Format: Database of full model results and data underlying non-EPA generated graphics. \n\nThis dataset is associated with the following publication:\nLoughlin, D., A. Barron, C. Chettri, A. O'Meara, L. Sarmiento, D. Dong, D.L. McCollum, S. Showalter, R. Beach, J. Bistline, G. Kim, C. Nolte, J. Emmerling, and P. Kaplanakman. Health and air pollutant emission impacts of Net Zero CO2 by 2050 scenarios from the Energy Modeling Forum 37 study.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 5: 100165, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530289",
      "keyword": [
        "modeling",
        "energy",
        "Nitrogen and Co-pollutants",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "EMF37-AncillaryImpacts-XCut-EPA-generated-data-24.11.26.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530289/EMF37-AncillaryImpacts-XCut-EPA-generated-data-24.11.26.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-20",
      "references": [
        "https://doi.org/10.1016/j.egycc.2024.100165",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998919"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset supporting \"Comparison of ozone formation attribution techniques in the northeastern United States\"",
      "description": "The Integrated Source Apportionment Method (ISAM) has been revised in the Community Multiscale Air Quality (CMAQ) model. This work updates ISAM to maximize its flexibility, particularly for ozone (O3) modeling, by providing multiple attribution options, including products inheriting attribution fully from nitrogen oxide reactants, fully from volatile organic compound (VOC) reactants, equally\nfrom all reactants, or dynamically from NOx or VOC reactants based on the indicator gross production ratio of hydrogen\nperoxide (H2O2) to nitric acid (HNO3). The updated ISAM has been incorporated into the most recent publicly accessible\nversions of CMAQ (v5.3.2 and beyond). This study’s primary objective is to document these ISAM updates and\ndemonstrate their impacts on source apportionment results for O3 and its precursors. Additionally, the ISAM results are\ncompared with the Ozone Source Apportionment Technology (OSAT) in the Comprehensive Air-quality Model with\nExtensions (CAMx) and the brute-force method (BF). \n\nThis dataset is associated with the following publication:\nShu, Q., S. Napelenok, W. Hutzell, K. Baker, B. Henderson, B. Murphy, and C. Hogrefe. Comparison of ozone formation attribution techniques in the northeastern United States.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16(8): 2303–2322, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531882",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "air pollution",
        "Ozone",
        "source apportionment",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Sergey Napelenok",
        "hasEmail": "mailto:napelenok.sergey@epa.gov"
      },
      "distribution": [
        {
          "title": "gmd-16-2303-2023.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531882/gmd-16-2303-2023.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Shu_etal_2023GMD_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531882/Shu_etal_2023GMD_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-03-01",
      "references": [
        "https://doi.org/10.5194/gmd-16-2303-2023",
        "https://www.epa.gov/aqs",
        "https://www.epa.gov/cmaq/forms/download-cmaq-data"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub OrthoPhosphate Lead NanoParticles",
      "description": "Particle size, surface charge, mineralogy, and solubility of lead orthophosphate nanoparticles. \n\nThis dataset is associated with the following publication:\nFormal, C., D. Lytle, S. Harmon, D. Wahman, M. DeSantis, and M. Tang. Impact of orthophosphate on the solubility and properties of lead orthophosphate nanoparticles.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 10(7): 1623-1636, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531862",
      "keyword": [
        "Hydroxypyromorphite",
        "lead",
        "solubility",
        "Particles"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub OrthoPhosphate Lead NanoParticles.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531862/SciHub%20OrthoPhosphate%20Lead%20NanoParticles.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-15",
      "references": [
        "https://doi.org/10.1039/d4ew00152d",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11492965"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MPAS_CMAQ-paper-dataset",
      "description": "the dataset that was used to create all the graphs in the paper. \n\nThis dataset is associated with the following publication:\nWong, D., J. Willison, J. Pleim, G. Sarwar, J. Beidler, R. Bullock, J. Herwehe, R. Gilliam, D. Kang, C. Hogrefe, G. Pouliot, and H. Foroutan. Development of the MPAS-CMAQ Coupled System (V1.0) for Multiscale Global Air Quality Modeling.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 7855–7866, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531878",
      "keyword": [
        "MPAS",
        "Coupled Model",
        "air quality",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/10994244",
          "accessURL": "https://zenodo.org/records/10994244",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-06",
      "references": [
        "https://doi.org/10.5194/gmd-17-7855-2024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MTBS/Landsat/LCMS",
      "description": "Monitoring Trends in Burn Severity of individual fires; Landsat remote sensing of land cover; Landscape Change Monitoring System maps of annual forest cover. \n\nThis dataset is associated with the following publication:\nZuspan, E.A., M. Reilly, and E. Lee. Long-Term Patterns of Post-Fire Harvest Diverge Among Ownerships in the Pacific West, U.S.A..   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, 19(12): 124075, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531693",
      "keyword": [
        "Burn severity",
        "change detection",
        "Landsat",
        "Post-fire management",
        "Regional trends",
        "Salvage logging",
        "time series analysis"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/aazuspan/post-fire-harvest-2024",
          "accessURL": "https://github.com/aazuspan/post-fire-harvest-2024",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-08-12",
      "references": [
        "https://doi.org/10.1088/1748-9326/ad8e75",
        "https://github.com/aazuspan/post-fire-harvest-2024",
        "https://landsat.gsfc.nasa.gov/data",
        "https://data.fs.usda.gov/geodata/rastergateway/LCMS/",
        "https://mtbs.gov/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://mtbs.gov/product-descriptions"
      },
      "accessRights": "public"
    },
    {
      "title": "Condensable PM on Atmospheric organic aerosols and PM2.5 in China data",
      "description": "Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ. \n\nThis dataset is associated with the following publication:\nLi, M., S. Yu, X. Chen, Z.  Li, Y.  Zhang, Z. Song, W. Liu, P. Li, X.  Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 22(17): 11845–11866, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526316",
      "keyword": [
        "emissions",
        "modeling",
        "air pollution",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "Kirankumar Alapaty",
        "hasEmail": "mailto:alapaty.kiran@epa.gov"
      },
      "distribution": [],
      "modified": "2022-01-31",
      "references": [
        "https://doi.org/10.5194/acp-22-11845-2022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Statistical Measures of Inequality in Low-Income and Communities of Color from Underground Storage Tanks",
      "description": "Documentation, code, and supplementary materials related to 'Statistical Measures of Inequality in Low-Income and Communities of Color from Underground Storage Tanks', published in the Journal of Environmental Justice (2023). \n\nThis dataset is associated with the following publication:\nMurray, A., A. Hall, F. Kremer, and D. Riveros-Iregui. Statistical Measures of Income and Demographic Inequality from Underground Storage Tanks.   ENVIRONMENTAL JUSTICE. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 17(4): 231-304, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531866",
      "keyword": [
        "Environmental Justice",
        "Underground Storage Tanks",
        "exposure inequality"
      ],
      "contactPoint": {
        "fn": "Andrew Murray",
        "hasEmail": "mailto:murray.andrewr@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/ORD_EJ_USTs",
          "accessURL": "https://github.com/USEPA/ORD_EJ_USTs",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-04-11",
      "references": [
        "https://doi.org/10.1089/env.2023.0006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption",
      "description": "Datasets for Benjamin Deacon, et al. 'Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption', Pharmaceutical Research, Vol 41, pg 1979-1990, 2024, DOI https://doi.org/10.1007/s11095-024-03779-y, PMC11530481. \nData generated in this study is available with the evaporation model in the GitHub repository.\nThe full results and input values are included in the supplementary information. \n\nThis dataset is associated with the following publication:\nDeacon, B., S. Silva, G. Lian, M. Evans, and T. Chen. Computational Modelling of the Impact of Evaporation on In-Vitro Dermal Absorption.   PHARMACEUTICAL RESEARCH. Springer, New York, NY, USA, 41: 1979-1990, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531856",
      "keyword": [
        "Dermal Absorption",
        "evaporation",
        "In silico modelling",
        "pharmaceuticals"
      ],
      "contactPoint": {
        "fn": "Marina Evans",
        "hasEmail": "mailto:evans.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/bendeacon/Evaporation",
          "accessURL": "https://github.com/bendeacon/Evaporation",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "11095_2024_3779_Supp File 3_ESM.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531856/11095_2024_3779_Supp%20File%203_ESM.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "11095_2024_3779_Supp File 2_ESM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531856/11095_2024_3779_Supp%20File%202_ESM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "11095_2024_3779_Supp File 1_ESM.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531856/11095_2024_3779_Supp%20File%201_ESM.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-15",
      "references": [
        "https://doi.org/10.1007/s11095-024-03779-y",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11530481"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Nitrogen and Sulfur Deposition US 2002-2017",
      "description": "This dataset is associated with the following publication: Benish, S. E., Bash, J. O., Foley, K. M., Appel, K. W., Hogrefe, C., Gilliam, R., and Pouliot, G.: Long-term Regional Trends of Nitrogen and Sulfur Deposition in the United States from 2002 to 2017, Atmos. Chem. Phys. https://doi.org/10.5194/acp-2022-201, 2022. \n\nThis dataset is associated with the following publication:\nBenish, S., J. Bash, K. Foley, K. Appel, C. Hogrefe, R. Gilliam, and G. Pouliot. Long-term Regional Trends of Nitrogen and Sulfur Deposition in the United States from 2002 to 2017.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 22: 12749–12767, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1524737",
      "keyword": [
        "CMAQ",
        "data fusion",
        "Nitrogen and Co-pollutants",
        "nitrogen deposition",
        "EQUATES"
      ],
      "contactPoint": {
        "fn": "Jesse Bash",
        "hasEmail": "mailto:bash.jesse@epa.gov"
      },
      "distribution": [
        {
          "title": "https://drive.google.com/drive/folders/1KpWMSEa_rUXvizJARFYUKJe8yHn3-uZL",
          "accessURL": "https://drive.google.com/drive/folders/1KpWMSEa_rUXvizJARFYUKJe8yHn3-uZL",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-21",
      "references": [
        "https://doi.org/10.5194/acp-22-12749-2022"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://drive.google.com/file/d/1TVTsrH94zDyOyMJEHNEi9_obwG2ZcPaa/view"
      },
      "accessRights": "public"
    },
    {
      "title": "Biomonitoring of emerging fluoroethers in wildlife and pets in North Carolina",
      "description": "Data files and code used to process data for the study all wrapped into a single HTML file. \n\nThis dataset is associated with the following publication:\nBangma, J., S. Pu, A. Robuck, J. Boettger, T. Guillette, J. McCord, K. Rock, J. Sobus, T. Jackson, and S. Belcher. Combined screening and retroactive data mining for emerging perfluoroethers in wildlife and pets in the Cape Fear region of North Carolina.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 363: 142898, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531781",
      "keyword": [
        "bioaccumulation",
        "North Carolina",
        "PFAS",
        "wildlife",
        "emerging"
      ],
      "contactPoint": {
        "fn": "Jacqueline Bangma",
        "hasEmail": "mailto:bangma.jacqueline@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOxDA-Study_All-Scripts_Pub.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531781/PFOxDA-Study_All-Scripts_Pub.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-05",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.142898",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11335432"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hintz_Cu Ag Lp_dataset for Science Hub",
      "description": "EPA generated data for Hintz et al. publication in Appl Environ Microbiol titled, \"Cu- and Ag-mediated inactivation of L. pneumophila in benchand pilot-scale drinking water systems\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531898",
      "keyword": [
        "Premise Plumbing",
        "opportunistic pathogens",
        "drinking water",
        "water treatment technologies"
      ],
      "contactPoint": {
        "fn": "Chelsea Hintz",
        "hasEmail": "mailto:hintz.chelsea@epa.gov"
      },
      "distribution": [
        {
          "title": "Cu Ag Lp_dataset for Science Hub_2024-12-10.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531898/Cu%20Ag%20Lp_dataset%20for%20Science%20Hub_2024-12-10.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset used in journal article \"Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ.\" by Skipper et al. (2024), https://doi.org/10.5194/gmd-17-8373-2024",
      "description": "This archive contains paired observed and simulated ozone concentrations\nused in Skipper et al. 2024 GMD article \"Source-specific bias correction\nof US background and anthropogenic ozone modeled in CMAQ.\". \n\nThis dataset is associated with the following publication:\nSkipper, N., C. Hogrefe, B. Henderson, R. Mathur, K. Foley, and A. Russell. Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 17: 8373–8397, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531884",
      "keyword": [
        "CMAQ",
        "EQUATES",
        "model bias",
        "background pollution",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "skipper_2024_GMD_background_ozone.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531884/skipper_2024_GMD_background_ozone.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531884/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-27",
      "references": [
        "https://doi.org/10.5194/gmd-17-8373-2024"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Raw (unspeciated) MEGAN version 3.2 output from MPAS-CMAQ version 1.0. A full year on 120 km uniform mesh.",
      "description": "This file contains a full year of unspeciated MEGAN version 3.2 emissions on an unstructured 120 km uniform MPAS mesh. \n\nThis dataset is associated with the following publication:\nIsaacman-VanWertz, G., G. Frazier, J. Willison, and C. Faiola. Missing measurements of sesquiterpene ozonolysis rates and composition limit understanding of atmospheric reactivity.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(18): 7937–7946, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531893",
      "keyword": [
        "sesquiterpene",
        "biogenic emissions"
      ],
      "contactPoint": {
        "fn": "Jeffrey Willison",
        "hasEmail": "mailto:willison.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "raw_megan_from_mpas_cmaq.nc.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531893/raw_megan_from_mpas_cmaq.nc.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-13",
      "references": [
        "https://doi.org/10.1021/acs.est.3c10348",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11080055"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Emissions for Fairbanks AK and ALPACA products",
      "description": "January-February 2022 Fairbanks Emissions for the US EPA 1.33 km WRF-CMAQ domain. Portions of this dataset are inaccessible because: Raw emissions files in NetCDF IOAPI format are too large. Below are the size of directories in this archive of ALPACA emissions that is around 75 Gb total.\r\n\r\n63G     ./premerged\r\n11G     ./onroad_ADEC_surrogates\r\n121M    ./ptegu_zehnder\r\n121M    ./ptegu_uaf\r\n121M    ./ptegu_north_pole\r\n121M    ./ptegu_ft_wainwright\r\n121M    ./ptegu_doyon\r\n121M    ./ptegu_aurora_chena\r\n2.0M    ./smk_merge_dates_202202.txt\r\n2.0M    ./smk_merge_dates_202201.txt. They can be accessed through the following means: See data dictionary on archived location on US EPA computer system for specifics, but all emissions are archived on tape drives connected to the Atmos computer system here:\r\n\r\n/asm/MOD3DEV/kfa/Fairbanks/ALPACA/emis. Format: See provided data dictionary document for full details: Data_dictionary_Emissions.docx\r\n\r\ni.e.;\r\nThis dataset includes emissions inputs for the Community Multiscale Air Quality (CMAQ) modeling system for the 1.33 km resolution Fairbanks domain (Figure 1, inner box) during the ALPACA period (January 17-February 25, 2022). The following sections describe the data as well as their location on the archival file system, /asm, for EPA’s atmos high-performance computing platform.        ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531883",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Environmental Justice",
        "Meteorology",
        "Stack Emission Transp",
        "air pollution",
        "Alaska",
        "Arctic",
        "NAAQS"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_dictionary_Emissions.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531883/Data_dictionary_Emissions.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531883/documents/Data_dictionary_Emissions.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "VOC and NOx photooxidation mutagenicity data",
      "description": "The raw mutagenicity data for experiments initiated with VOC + UV and NOx (Figure 1).  The data are the number of mutant colonies (called revertants or rev) per petri plate of strain TA100 of Salmonella using the Salmonella (Ames) mutagenicity assay.  \nRev hr-1 figures were normalized to to non-precursor VOC concentrations by determining the difference between initial and final precursor concentrations (e.g., the delta Hydrocarbon for each precursor), in micrograms carbon m-3 (see Table 1).  This SOC yield was then used to subtract off product concentrations lost to the particle phase.  The remaining concentration was then considered to be the Estimated Gas-Phase Product Concentration.  Mutagenic potencies, in rev hr-1, were divided by the Estimated Gas-Phase Product Concentration, to give normalized mutagenicic potencies in rev m3 hr-1 mgC-1. \n\nThis dataset is associated with the following publication:\nKrug, J., T. Riedel, M. Lewandowski, W. Lonneman, J. Turlington, J. Zavala, S. Warren, T. Kleindienst, and D. DeMarini. Mutagenic Atmospheres Generated from the Photooxidation of NOx with Selected VOCs and a Complex Mixture: Apportionment of Aromatic Mutagenicity for Reacted Gasoline Vapor.   ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA,  na, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531861",
      "keyword": [
        "VOCs",
        "photooxidation products",
        "Mutagenicity",
        "Smog chamber"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Aromatic mutagenicity data 11-15-24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531861/Aromatic%20mutagenicity%20data%2011-15-24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-15",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120668",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11457086"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparing U.S. cropland expansion estimates from the LCMAP with three other sources",
      "description": "This dataset contains tabular data and scripts used to analyze and produce figures for the manuscript Martin et al. entitled \"Tracking cropland transitions: a comparative analysis of U.S. land cover change data.\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531734",
      "keyword": [
        "RFS Program",
        "cropland expansion",
        "corn ethanol",
        "land use change",
        "biofuels"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/13909562",
          "accessURL": "https://zenodo.org/records/13909562",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Farraj et al_All Data_Asthma-Cardiovascular_June-28-2022",
      "description": "Individual values for all tables and figures 2 thru 9. \n\nThis dataset is associated with the following publication:\nFarraj, A., B.L. Martin, M. Schladweiler, C. Miller, J. Smoot, W. Williams, A. Astriab Fisher, W. Oshiro, A. Tennant, W.K. Martin, A. Henriquez, R. Grindstaff, S. Gavett, M. Gilmour, U. Kodavanti, M. Hazari, and J. Dye. Mild allergic airways responses to an environmental mixture increase cardiovascular risk in rats.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  191(1): 106-122, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527683",
      "keyword": [
        "Allergic airways disease",
        "cardiovascular risk",
        "environmental allergens",
        "asthma",
        "allergic rhinitis",
        "blood pressure",
        "cardiac output",
        "aspergillus fumigatus",
        "house dust mite",
        "ragweed"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Farraj et al_All Data_Asthma-Cardiovascular_June-28-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527683/Farraj%20et%20al_All%20Data_Asthma-Cardiovascular_June-28-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-28",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac112",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887678"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-Target Chemical Features for: De facto water reuse: Investigating the chemical space coverage of multiple chromatographic and ionization methods using non-targeted analysis on surface water and drinking water collected using passive sampling",
      "description": "The associated manuscript reports the results of a repeated sampling of a watershed, including surface water and drinking water, that were analyzed with multiple non-targeted analysis (NTA) methods. About 130 chemicals were tentatively identified in the environmental samples, with no concentrations being reported with the non-targeted analysis. The results of this manuscript provide users of NTA with important information on which types of chromatography and ionization methods can be used to detect different classes of environmental contaminants, including PFAS, pesticides, surfactants, and pharmaceuticals. The metadata published here includes a list of all unidentified chemical features detected by each non-target method tested. \n\nThis dataset is associated with the following publication:\nBatt, A., L. Brunelle, N. Quinete, E. Stebel, B. Ng, P. Gardinali, A. Chao, A. Huba, S. Glassmeyer, D. Alvarez, D. Kolpin, E. Furlong, and M. Mills. Investigating the chemical space coverage of multiple chromatographic and ionization methods using non-targeted analysis on surface and drinking water collected using passive sampling.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 955: 176922, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531660",
      "keyword": [
        "chemicals of emerging concern",
        "Drinking water contaminants",
        "mass spectrometry",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Angela Batt",
        "hasEmail": "mailto:batt.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "DeFactoWaterReusePaper2-metadata-July2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531660/DeFactoWaterReusePaper2-metadata-July2024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176922"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS in leachate and wastewater_All Results",
      "description": "All PFAS results from leachate and wastewater influent -- MSD study. \n\nThis dataset is associated with the following publication:\nCollins, A., M.J. Krause, S.M. Bessler, A. Brougham, T. McKnight, T. Strock, and M. Ateia. City-scale impacts of PFAS from normal and elevated temperature landfill leachates on wastewater treatment plant influent.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 480: 136270, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531794",
      "keyword": [
        "WWTP",
        "leachate",
        "ETLF",
        "Landfill",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0304389424028498?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0304389424028498?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-01",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.136270",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11645521"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "F3/AFFF & Zebrafish-Based Platform",
      "description": "F3/AFFF & Zebrafish-Based Platform. \n\nThis dataset is associated with the following publication:\nNiaz , K., D. McAtee, P. Adhikari, P. Rollefson, M. Ateia , and A. Abdelmoneim. Assessing the effects of fluorine-free and PFAS-containing firefighting foams on development and behavioral responses using a zebrafish-based platform.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 365: 143361, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531804",
      "keyword": [
        "toxicity",
        "zebra fish",
        "F3",
        "AFFF"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0045653524022598",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0045653524022598",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-17",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.143361",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650217"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS in Landfill Organics",
      "description": "PFAS in Landfill Organics. \n\nThis dataset is associated with the following publication:\nSaha, B., M. Ateia, T. Tolaymat, S. Fernando, J.R. Varghese, D. Golui, A.N. Bezbaruah, J. Xu, N. Aich, J. Briest, and S.M. Iskander. The unique distribution pattern of PFAS in landfill organics.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 479: 135678, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531813",
      "keyword": [
        "PFAS",
        "organics",
        "Landfill",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S030438942402257X",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S030438942402257X",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-08-31",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.135678",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11483333"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "F3 Earthworms study",
      "description": "Results for avoidance, acute, and chronic tests with F3/AFFF. \n\nThis dataset is associated with the following publication:\nYeardley, R., M. Penrose, P.R. Montoyo, and M. Ateia. Acute, chronic, and behavioral toxicity of fluorine-free foams to earthworm species Eisenia fetida and Dendrobaena veneta.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 369: 143860, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531885",
      "keyword": [
        "fluorine-free foams",
        "PFAS",
        "AFFF",
        "earthworms"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "F3 Earthworms_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531885/F3%20Earthworms_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-30",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2024.143860"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stream nitrate concentrations and discharge, stream nitrate uptake, and results of stream network nitrate model to determine lateral nitrate load from land to stream in Oak Creek, Arizona, USA",
      "description": "Data package associated with Handler et al. (2024) \"Nitrate loads from land to stream are balanced by in-stream nitrate uptake across season in a dryland stream\". The study describes the nitrate dynamics in Oak Creek watershed. Data include measurements from four seasonal synoptic sampling campaigns, nine seasonal stream nitrate uptake experiments on the main stem and tributaries, and the results of a network model that estimates the lateral load of nitrate from surrounding landscape to the stream network as well as network-level stream nitrate uptake and retention. \n\nThis dataset is associated with the following publication:\nHandler, A., A. Helton, and N. Grimm. Nitrate loads from land to stream are balanced by in-stream nitrate uptake across seasons in a dryland stream network..   Journal of Geophysical Research: Biogeosciences. American Geophysical Union, Washington, DC, USA, 129(11): e2024JG008117, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531891",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "land cover",
        "nitrate",
        "streams",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Amalia Handler",
        "hasEmail": "mailto:handler.amalia@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.6073/pasta/68273eab165af073371b126d6d8c05f8",
          "accessURL": "https://doi.org/10.6073/pasta/68273eab165af073371b126d6d8c05f8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-25",
      "references": [
        "https://doi.org/10.1029/2024jg008117"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Technical evaluation and standardization of the human thyroid microtissue assay",
      "description": "Dataset for Foley et al. 'Technical evaluation and standardization of the human thyroid microtissue assay'; Toxicological Sciences, Vol 199, Issue 1, pg 89-107, kfae014   May 2024. DOI https://doi.org/10.1093/toxsci/kfae014. \n\nThis dataset is associated with the following publication:\nFoley, B., K. Breaux, J. Gamble, S. Lynn, R. Thomas, and C. Deisenroth. Technical Evaluation and Standardization of the Human Thyroid Microtissue Assay.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  199(1): 89-107, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531907",
      "keyword": [
        "thyroid",
        "New Approach Methods (Alternatives to Animal Testing)",
        "thyroid disrupting chemicals",
        "endocrine toxicology",
        "organoids",
        "Microtissues"
      ],
      "contactPoint": {
        "fn": "Chad Deisenroth",
        "hasEmail": "mailto:deisenroth.chad@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5061/dryad.j9kd51cjv",
          "accessURL": "https://doi.org/10.5061/dryad.j9kd51cjv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://zenodo.org/records/10070162",
          "accessURL": "https://zenodo.org/records/10070162",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-12",
      "references": [
        "https://doi.org/10.1093/toxsci/kfae014"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model",
      "description": "The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the CEDA model  (Watershed Technology, Inc.) along with example USEEIO models built with them for year 2022 and supporting information . The dataset accompanies the addendum \"Import Greenhouse Gas Emission Factors Derived from CEDA 2024\" to EPA report \"Estimating embodied environmental flows in international imports for the USEEIO Model\" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). This dataset is analogous to the \"USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model\" dataset (https://doi.org/10.23719/1531676), but its uses CEDA instead of EXIOBASE as the coupled model. See the aforementioned addendum for more information.\n\nThe factors are provided at the BEA summary and detail levels of sector resolution as reflected in file names. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models.  US_summary_import_factors_ceda_2022_17sch.csv is the summary level IEFs file and USEEIOv2.4-oriole-22.xlsx is the USEEIO model created with them. US_detail_import_factors_ceda_2022_17sch.csv is the detail level IEFs file and USEEIOv2.4-catbird-22.xlsx is the USEEIO model created with them. Various supporting links and files are provided. Concordance files are provided here that are used to map CEDA commodities and countries to those used in USEEIO (and also available online) to create the import emission factors. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. Model specification files for the detail USEEIO model (USEEIOv2.4-catbird-22.yml) and for the summary model (USEEIOv2.4-oriole-22.yml) that are used to create the USEEIO models in useeior are provided. See the model specification and model data formats on the  useeior github site (link in references) for more details. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531906",
      "keyword": [
        "climate change",
        "U.S. imports",
        "embodied carbon",
        "USEEIO",
        "international trade"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_ceda_2022_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_detail_import_factors_ceda_2022_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_ceda_2022_17sch.csv",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/US_summary_import_factors_ceda_2022_17sch.csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.4-oriole-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531906/USEEIOv2.4-oriole-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.4-catbird-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531906/USEEIOv2.4-catbird-22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-17",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.4-oriole-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.4-catbird-22.yml",
        "https://github.com/USEPA/USEEIO/tree/USEEIOv2.4/",
        "https://pasteur.epa.gov/uploads/10.23719/1531906/documents/ceda_country_concordance.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531906/documents/ceda_to_useeio_commodity_concordance.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531906/documents/ceda_country_names.csv",
        "https://github.com/USEPA/useeior/blob/v1.6.1/format_specs/ModelSpecification.md",
        "https://github.com/USEPA/useeior/blob/v1.6.1/format_specs/Model.md"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Oregon Crest-to-Coast tree mortality",
      "description": "Tree mortality survey data for Coast-Crest field sites.  Instrumental records of air temperature, precipitation, relative humidity, vapor pressure deficit, solar radiation, photosynthetically active radiation, wind speed and direction, as well as soil moisture and soil temperature at network of monitored field sites in western Oregon.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531909",
      "keyword": [
        "drought",
        "climate change",
        "soil moisture",
        "forest disturbances",
        "Tree Mortality"
      ],
      "contactPoint": {
        "fn": "E. Lee",
        "hasEmail": "mailto:lee.ehenry@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00760",
          "accessURL": "https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00760",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2019-03-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "O'Shaughnessy Gilbert Serum Hormones RIA vs LCMS",
      "description": "Thyroid hormones (THs) control normal brain development and function in humans, and identifying environmental thyroid disrupting chemicals has significant public health implications. As such, some developmental and reproductive toxicology studies now require or suggest serum total thyroxine (T4) measurements in pregnant, lactating, and developing rats. However, serum T4 concentrations are normally low in the fetus and pup which makes accurate quantification difficult. These challenges can be circumvented by technologies like mass spectrometry, but these approaches are expensive and not always widely available. To demonstrate the feasibility of measuring serum T4 using a commercially available kit we compare T4 concentrations in pregnant, fetal, and neonatal rats, as measured by both liquid chromatography mass spectrometry (LC/MS/MS) and radioimmunoassay (RIA). The sera samples analyzed were obtained from rats on gestational day 20 (dams and fetuses) or postnatal day 5 (pups), following a maternal exposure to the goitrogen propylthiouracil (0-3 ppm) to incrementally decrease T4. We show that with optimization, it is possible to measure serum T4 using low sample volumes (25-50μL) by RIA and the relative control values obtained are comparable to LC/MS/MS. This work demonstrates that low concentrationT4 quantification is feasible for toxicological studies, but attention to technical detail is pertinent. \n\nThis dataset is associated with the following publication:\nO'Shaughnessy, K., M. Hotchkiss, A. Buckalew, A. Murr, M. Gilbert, and T. Stoker. An optimized radioimmunoassay for quantification of total serum thyroxine (T4) in fetal, neonatal, and pregnant rats.   NEUROTOXICOLOGY AND TERATOLOGY. Elsevier Science Ltd, New York, NY, USA, 100: 107303, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522943",
      "keyword": [
        "thyroid hormone",
        "RIA",
        "developmental hypothyroidism"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "OShaughnessy et al ScienceHub An Optimized RIA_mg.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1522943/OShaughnessy%20et%20al%20ScienceHub%20An%20Optimized%20RIA_mg.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-08-03",
      "references": [
        "https://doi.org/10.1016/j.ntt.2023.107303"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of effects from climate change on tree species in the U.S. (from \"Winners and losers from climate change: An analysis of climate thresholds for tree growth and survival for roughly 150 species across the contiguous United States\")",
      "description": "This data is from the Global Change Biology publication by Clark et al., entitled \"Winners and losers from climate change: An analysis of tree growth and survival responses to temperature and precipitation for roughly 150 species across the contiguous U.S.\" The dataset has all the inputs and outputs for the assessment of tree species responses to temperature and precipitation. There is a Readme file on Dryad that describes the 12 tabular data files associated with this manuscript. \n\nThis dataset is associated with the following publication:\nClark, C.M., J.G. Coughlin, J. Phelan, G. Martin, K. Austin, M. Salem, R.D. Sabo, K. Horn, R.Q. Thomas, and R.M. Dalton. Winners and Losers From Climate Change: An Analysis of Climate Thresholds for Tree Growth and Survival for Roughly 150 Species Across the Contiguous United States.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 30(12): e17597, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531744",
      "keyword": [
        "biodiversity",
        "forest",
        "climate change",
        "Tree species",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.7h44j103z",
          "accessURL": "https://datadryad.org/stash/dataset/doi:10.5061/dryad.7h44j103z",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-29",
      "references": [
        "https://doi.org/10.1111/gcb.17597"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"An End-of-Life Plastic and Additive Flow Tracker Tool for Scenario Forecasting\"",
      "description": "EoLPAFT\nThis code was written for the tool shared in the peer-reviewed manuscript \"An End-ofLife Plastic and Additive Flow Tracker Tool for Scenario Forecasting.\"\n\nAlso, the supplementary file \"Chea et al - EoLPAFT-Supplementary-Final.docx\" describes the tool Requirements, the EoLPAFT.py Script, User Specifications and Calculations, Material Flow Results, The model_dev.py Script, The pipe_test_GUI.py Script, and The “MySQL Database” Folder\n\nRequirements\nThis code was written using Python 3.x. The following Python libraries are required for running the code:\ntkinter (https://docs.python.org/3/library/tkinter.html\nnumpy (https://pypi.org/project/numpy/)\nPIL (https://pypi.org/project/pillow/)\nplotly (https://pypi.org/project/plotly/)\npandas (https://pypi.org/project/pandas/)\ndatetime (https://pypi.org/project/DateTime/)\nio (https://docs.python.org/3/library/io.html)\nhtml2image (https://pypi.org/project/html2image/)\ntktooltip (https://pypi.org/project/tkinter-tooltip/)\nmatplotlib (https://pypi.org/project/matplotlib/)\nxlsxwriter (https://pypi.org/project/XlsxWriter/)\n\nHow to use\nThe Python Script requires no additional documents. To run the Python script, you need to navigate to the directory containing main.py. Then, you execute the following command either on Windows CMD or Unix terminal:\n\npython main.py\nThe GUI will open and allow use of the tool. The data can then be input by the user.\n\nOutputs\nAfter running the Python script you will obtain the following files:\n\nFile name\tDescription\ntemp-plot.html\tSankey Diagram Showing Normalized Flows\nSankey_Diagram.png\tPNG version of Sankey Diagram above\nOptional documents that can also be generated:\n\nFile name\tDescription\nStream Summary Calculations.xlsx\tShows MSW stream flows for scenario, current data marked by sheet date/time\n\nDisclaimer\nThe views expressed in this article's dataset are those of the authors and do not necessarily represent the views or policies of the EPA. Any mention of trade names, products, or services does not imply an endorsement by ORAU/ORISE, the US Government, or the EPA. The EPA does not endorse any commercial products, services, or enterprises.\n\nAcknowledgement\nThis research was supported in part by an appointment to the US Environmental Protection Agency (EPA) Research Participation Program administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the US Department of Energy (DOE) and the US EPA. ORISE is managed by ORAU under DOE contract number DE-SC0014664. Partial support for undergraduate student at Rowan University was provided by the US EPA Bipartisan Infrastructure Law (BIL) P2 grant 4U96236522.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531894",
      "keyword": [
        "circular economy",
        "Chemical additives",
        "Environmental Releases",
        "End-of-Life Plastic Management",
        "Flow Tracker Tool"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/jdchea95/EoLPAFT",
          "accessURL": "https://github.com/jdchea95/EoLPAFT",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chea et al - EoLPAFT-Supplementary-Final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531894/Chea%20et%20al%20-%20EoLPAFT-Supplementary-Final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Safe Drinking Water Information System (SDWIS) Federal Reporting Services (Jan. 1, 2010 to Dec. 31, 2017)",
      "description": "This dataset is made up of seven separate reports from the U.S. Environmental Protection Agency's (USEPA) Safe Drinking Water Information System (SDWIS). Site visits were queried using SDWIS to produce the seven summary reports, one for each year of data from January 1, 2010 to December 31, 2017. This date range was chosen to account for the effects of the Long Term 2 Enhanced Surface Water Treatment Rule (LT2ESWTR) and the Stage 2 Disinfectants and Disinfection Byproducts Rule (DBPR), both of which first became effective in 2009. \n\nThe information is stored in .csv tables with a record (row) for each sanitary survey, with columns containing water system identifiers (e.g., water system ID, name, state), survey dates, findings arranged by survey element, and a comment field. Each record contains survey findings in separate fields for each survey element, and more than 95% of the fields are populated. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531733",
      "keyword": [
        "water",
        "drinking water",
        "sdwis",
        "drinking water quality",
        "Sanitary Survey"
      ],
      "contactPoint": {
        "fn": "Austin Heinrich",
        "hasEmail": "mailto:heinrich.austin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://sdwis.epa.gov/ords/sfdw_pub/r/sfdw/sdwis_fed_reports_public/200",
          "accessURL": "https://sdwis.epa.gov/ords/sfdw_pub/r/sfdw/sdwis_fed_reports_public/200",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2017-12.31.2017.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2017-12.31.2017.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2015-12.31.2016.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2015-12.31.2016.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2014-12.31.2014.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2014-12.31.2014.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2013-12.31.2013.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2013-12.31.2013.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2012-12.31.2012.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2012-12.31.2012.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2011-12.31.2011.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2011-12.31.2011.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "water_system_site_visit_01.01.2010_12.31.2010.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/water_system_site_visit_01.01.2010_12.31.2010.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-01",
      "references": [
        "https://doi.org/10.1002/awwa.1920",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360428"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531733/documents/SDWA%20Data%20Download%20Summary%20and%20Data%20Element%20Dictionary%20_%20ECHO%20_%20US%20EPA.html",
        "mediaType": "text/html"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping'",
      "description": "Dataset for Harrill, J.A. et al., 'Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping' published in Toxicological Sciences, https://doi.org/10.1093/toxsci/kfae108\n\nThis dataset contains gene expression profiles and gene signature concentration-response modeling results for 1751 unique chemicals. The chemicals were tested in MCF7 cells using an exposure duration of six hours.  The datasets also contains the results of molecular target enrichment and chemotype enrichment analyses performed downstream of the gene signature concentration-response modeling.\n\nDescriptions of each data file can be found in the supplementary material of the published article that is hosted by the journal. \n\nThis dataset is associated with the following publication:\nHarrill, J., L. Everett, D. Haggard, L. Word, J. Bundy, B. Chambers, D. Harris, C. Willis, R. Thomas, I. Shah, and R. Judson. Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  202(1): 103-122, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531711",
      "keyword": [
        "high throughput transcriptomics",
        "Mechanism of Action",
        "computational toxicology",
        "ToxCast"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64ef8bc8e4b00be554658bbb&page=0",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=64ef8bc8e4b00be554658bbb&page=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-09",
      "references": [
        "https://doi.org/10.1093/toxsci/kfae108"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Performance data for enhanced Innovative/Alternative (I/A) septic systems for nitrogen removal installed in a field demonstration in Barnstable, Massachusetts (2021 - 2023). Version 2.",
      "description": "Performance data for enhanced I/A septic systems designed for nitrogen removal that were installed during a demonstration project in Barnstable, MA. Includes 1) field and laboratory measurements of water quality parameters in influent, effluent, and lysimeters below leach fields (where available) and 2) metered flow to each system. The initial release (Version 1) includes data collected from 2021-12-10 through 2023-05-03. The second release (Version 2) adds data through 2023-12-04. The README file contains additional details, including notes on data limitations and a change log. \n\nThis dataset is associated with the following publication:\nErban, L.E., S.K. Wigginton, B. Baumgaertel, B. Horsley, T.D. McCobb, Z. Crocker, S. Horsley, and T.R. Gleason. Reducing wastewater nitrogen loading by >90% with carbon-amended septic systems: a field demonstration in Barnstable (Cape Cod), Massachusetts.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 370: 122737, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531860",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "I/A septic systems",
        "OWTS",
        "woodchip bioreactor",
        "groundwater",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Laura Erban",
        "hasEmail": "mailto:erban.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1529539",
          "accessURL": "https://doi.org/10.23719/1529539",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-21",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.122737",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11568896"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropogenic extremely low volatility organics (ELVOCs) Govern the Growth of Molecular Clusters over the Southern Great Plains during the Springtime",
      "description": "Data is not provided for this entry as it was developed by an external institution. It is available from Dr. Manish Shrivastava upon request (ManishKumar.Shrivastava@pnnl.gov).\n\nData used to support the analysis and conclusions in the study include (1) output from the WRF-CHEM regional-scale chemical transport model and (2) measurements from the Department of Energy Atmospheric Radiation Measurement (ARM) facility in Southern Great Plains, Oklahoma. Portions of this dataset are inaccessible because: This data is too large, and is maintained by the external lead author's laboratory. They can be accessed through the following means: Interested parties should contact Dr. Manish Shrivastava at the Pacific Northwest National Laboratory in Washington (ManishKumar.Shrivastava@pnnl.gov). Please request the data supporting the article \"Anthropogenic extremely low volatility organics (ELVOCs) Govern the Growth of Molecular Clusters over the Southern Great Plains during the Springtime\". Format: The data generated by this research study are in large binary file formats (> 100 GBs) and not appropriate for sharing via ScienceHub. They are available to interested parties via communication with the corresponding author. \n\nThis dataset is associated with the following publication:\nShrivastava, M., J. Zhang, R. Zaveri, B. Zhao, J. Pierce, S. O'Donnell, J. Fast, B. Gaudet, J. Shilling, A. Zelenyuk, B. Murphy, H. Pye, Q. Zhang, J. Trousdell, R. Zhang, Y. Li, and Q. Chen. Anthropogenic extremely low volatility organics (ELVOCs) Govern the Growth of Molecular Clusters over the Southern Great Plains during the Springtime.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 129(21): e2024JD041212, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531887",
      "keyword": [
        "ultrafine particles",
        "amines",
        "air quality modeling",
        "New Particle Formation"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.arm.gov/research/campaigns/sgp2016hiscale",
          "accessURL": "https://www.arm.gov/research/campaigns/sgp2016hiscale",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www2.mmm.ucar.edu/wrf/users/download/get_source.html",
          "accessURL": "https://www2.mmm.ucar.edu/wrf/users/download/get_source.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2024JD041212&file=2024JD041212-T-sup-0001-Supporting+Information+SI-S01.docx",
          "accessURL": "https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2024JD041212&file=2024JD041212-T-sup-0001-Supporting+Information+SI-S01.docx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-01",
      "references": [
        "https://doi.org/10.1029/2024jd041212"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for paper: Merrill N, Mazzotta M, Mulvaney K, et al. The value of water quality for coastal recreation in New England, USA",
      "description": "Estimating economic values for improvements in water quality demonstrates the scale of benefits when compared against the more tangible costs of policy. We used revealed preference, travel cost methods to show the value of water quality improving efforts in the coastal waters of New England. Despite the challenges combining social and environmental data, we demonstrate promising methods for large scale benefits analysis.\n\nThe data and code that support the findings of this study will be openly available in Zenodo at https://doi.org/10.5281/zenodo.6390881 . \n\nThis dataset is associated with the following publication:\nMerrill, N., M. Mazzotta, K. Mulvaney, J. Sawyer, J. Twichell, S. Atkinson, D. Keith, and L. Erban. The value of water quality for coastal recreation in New England, USA.   Agricultural and Resource Economics Review. Northeastern Agricultural and Resource Economics Association (NAREA), NEWARK, DE, USA,  1-23, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531920",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Discrete choice modeling",
        "economics",
        "Recreation",
        "water quality",
        "Survey",
        "remote sensing",
        "non-market valuation",
        "revealed preference"
      ],
      "contactPoint": {
        "fn": "Nathaniel Merrill",
        "hasEmail": "mailto:merrill.nathaniel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.5786310",
          "accessURL": "https://doi.org/10.5281/zenodo.5786310",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-09",
      "references": [
        "https://doi.org/10.1017/age.2024.12"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata Entry for \"Assessing Human-Source Microbial Contamination of Stormwater in the U.S.\"",
      "description": "Metadata Entry for \"Assessing Human-Source Microbial Contamination of Stormwater in the U.S\".  Please contact the corresponding author Jumana Alja'fari (Jumana.Aljafari@colostate.edu) to request the associated data. This dataset is not publicly accessible because: The data is non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Jumana Alja'fari at Jumana.Aljafari@colostate.edu to request the data. Format: XLSX and/or CSV files. \n\nThis dataset is associated with the following publication:\nAlja'fari, J., S. Sharvelle, A. Branch, B. Pecson, M. Jahne, A. Olivieri, M. Arabi, J. Garland, and R. Gonzalez. Assessing Human-Source Microbial Contamination of Stormwater in the U.S.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 268: 122640, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529951",
      "keyword": [
        "microbial risk",
        "wastewater",
        "stormwater",
        "pathogens"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2023-12-19",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.122640"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Revealing the Unidentified Product of Chloramine Decomposition: Chloronitramide Anion Data Set",
      "description": "Data is for manuscript entitled \"Revealing the Unidentified Product of Chloramine Decomposition: Chloronitramide Anion\". This dataset is not publicly accessible because: The data was not generated by EPA.  It can be accessed by contacting the corresponding author. It can be accessed through the following means: Contact the manuscript corresponding author: Julian L. Fairey at julianf@uark.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nFairey, J., J. Laszakovits, H. Pham, T. Do, S. Hodges, K. McNeill, and D. Wahman. Chloronitramide anion is a decomposition product of inorganic chloramines.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 386(6724): 882-887, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529742",
      "keyword": [
        "unidentified product",
        "Chloronitramide anion",
        "Disinfection Byproduct",
        "chloramine decomposition"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-28",
      "references": [
        "https://doi.org/10.1126/science.adk6749"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In-situ measurement of dissolved organic carbon and total organic carbon in fresh surface waters: Lab validation of a portable field meter",
      "description": "Data represent field and laboratory measures of dissolved organic carbon. This dataset is not publicly accessible because: Data is owned by external co-authors. It can be accessed through the following means: Upon request of the first author. Format: .xls from Excel. \n\nThis dataset is associated with the following publication:\nCollins, S.E., M. Moulton, and J. Flotemersch. In-situ measurement of dissolved organic carbon and total organic carbon in fresh surface waters: Lab validation of a portable field meter.   River Research and Applications. John Wiley & Sons Incorporated, New York, NY, USA, 40(10): 1801-1807, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531899",
      "keyword": [
        "Freshwater",
        "management",
        "West Virginia",
        "condition assessment",
        "blackwater"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-26",
      "references": [
        "https://doi.org/10.1002/rra.4337"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Consumption-Based Emissions Inventory Summaries for Selected U.S. States, 2012-2019",
      "description": "Summaries of Consumption-Based Emission Inventory (CBEI) results for states outside the Northeast, in other words states not covered in EPA's report on CBEIs the Northeastern States (https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=363340&Lab=CESER). CBE results for Northeastern states are available as a dataset (https://doi.org/10.23719/1531799). Each summary is in a standalone HTML file, named by the state two-letter acronym, and is viewable in any web browser. The time period covers 2012-2019 with the results on an annual basis for each state. These summaries are based on the same methods described in the aforementioned report. They are produced with USEEIO State Models with state-level GHG extensions.  The code used to produce this reports is the StateCBE R markdown (StateCBE.Rmd) available which draws on other code in that repository and uses the useeior package. The specific tag (snapshot) of code used is https://github.com/USEPA/USEEIO-State/blob/v0.1.0/examples/StateCBE.Rmd. We cannot control for the ordering so please search thoroughly for the state of interest (it may be out of alphabetical order). \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., and B. Young. Consumption-Based Greenhouse Gas Inventories for Northeastern States. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531923",
      "keyword": [
        "embodied emissions",
        "USEEIO",
        "greenhouse gas emissions",
        "Alaska",
        "Arkansas",
        "Alabama",
        "Arizona",
        "California",
        "Colorado",
        "Delaware",
        "Florida",
        "Georgia",
        "Hawaii",
        "Idaho",
        "illinois",
        "Indiana",
        "Kansas",
        "kentucky",
        "Louisiana",
        "Maryland",
        "Minnesota",
        "Mississippi",
        "Montana",
        "Nebraska",
        "Nevada",
        "New Mexico",
        "North Carolina",
        "North Dakota",
        "Ohio",
        "Oklahoma",
        "Oregon",
        "Pennsylvania",
        "south carolina",
        "South Dakota",
        "Tennessee",
        "Texas",
        "Utah",
        "Virginia",
        "Washington",
        "West Virginia",
        "Wisconsin",
        "Wyoming"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "AL.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/AL.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AK.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/AK.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AR.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/AR.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AZ.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/AZ.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/CA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CO.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/CO.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DE.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/DE.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/GA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FL.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/FL.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HI.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/HI.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ID.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/ID.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IL.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/IL.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "IN.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/IN.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "KS.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/KS.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "KY.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/KY.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/LA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MD.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MD.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MI.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MI.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MN.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MN.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MO.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MO.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MS.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MS.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MT.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/MT.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NC.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/NC.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ND.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/ND.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NE.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/NE.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NM.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/NM.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NV.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/NV.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OH.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/OH.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OK.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/OK.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/PA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SC.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/SC.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SD.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/SD.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TN.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/TN.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TX.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/TX.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UT.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/UT.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "VA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/VA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WA.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/WA.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WI.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/WI.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WV.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/WV.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WY.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/WY.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OR.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531923/OR.html",
          "mediaType": "text/html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-08",
      "references": [
        "https://doi.org/10.23719/1531799",
        "https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=363340&Lab=CESER"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Modeled Spatiotemporal Distributions of Airborne Allergenic Pollen CONUS",
      "description": "This dataset consists of a file describing the U.S. EPA data used in Ren et al. (2022), Modeling Past and Future Spatiotemporal Distributions of Airborne Allergenic Pollen across the Contiguous United States. This dataset is not publicly accessible because: The size of this meteorological input dataset (nearly 300 gigabytes) is too large for\r\nthe ScienceHub portal. It can be accessed through the following means: Data are archived on the EPA High-Performance Environmental Supercomputing Center (HESC) Archival Storage Management (ASM) system under the directory /asm/cnolte/project/xren2022. Format: Data are in the Unidata Network Common Data Form (NetCDF). The names of each NetCDF variable and its associated units are provided within the dataset itself. Further information about the NetCDF format is available from Unidata at www.unidata.ucar.edu/netcdf. \n\nThis dataset is associated with the following publication:\nRen, X., T. Cai, Z. Mi, L. Bielory, C. Nolte, and P. Georgopoulos. Modeling Past and Future Spatiotemporal Distributions of Airborne Allergenic Pollen across the Contiguous United States.   Frontiers in Allergy. Frontiers, Lausanne,  SWITZERLAND, 3: 959594, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527698",
      "keyword": [
        "CMAQ",
        "climate change",
        "Mesoscale meteorology"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [],
      "modified": "2022-10-02",
      "references": [
        "https://doi.org/10.3389/falgy.2022.959594",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640548"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sex-Linked Changes in Biotransformation of Phenol in Brook Trout (Salvelinus fontinalis) over an Annual Reproductive Cycle",
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      "identifier": "https://doi.org/10.23719/1531792",
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        "kinetics",
        "phenol",
        "Metabolism",
        "Km",
        "Vmax",
        "fish"
      ],
      "contactPoint": {
        "fn": "Richard Kolanczyk",
        "hasEmail": "mailto:kolanczyk.rick@epa.gov"
      },
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    {
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      "identifier": "https://doi.org/10.23719/1531139",
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        "fate and transport",
        "Dispersion",
        "modeling",
        "wind tunnel",
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      "contactPoint": {
        "fn": "Michael Pirhalla",
        "hasEmail": "mailto:pirhalla.michael@epa.gov"
      },
      "distribution": [
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        "fn": "Joseph Ebersole",
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      },
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      },
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    {
      "title": "National Wetland Condition Assessment 2011 Datafiles for Report “National Wetland Condition Assessment 2011: A Collaborative Survey of the Nation’s Wetlands\"",
      "description": "The National Wetland Condition Assessment (NWCA) is a statistical survey of the condition of wetlands in the conterminous United States. It is designed to provide information on the extent of wetlands that support healthy biological condition, estimate how widespread major stressors are that impact wetland quality, and provide insight into the ecological integrity of wetlands nationwide. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NWCA 2011 report. Sampling was conducted in the spring and summer of 2011 at approximately 1,000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include site information, vegetation characteristics, soil properties and chemistry, hydrology sources and disturbances, physical habitat, landscape metrics, algal toxins (microcystin), and water chemistry. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.\n\nCitation for the NWCA 2011 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Wetland Condition Assessment 2011 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-wetland-condition-assessment-2011-results. DOI: 10.23719/1531015 \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Wetland Condition Assessment 2011 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” \n\nAdditional information: NWCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
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      "identifier": "https://doi.org/10.23719/1531015",
      "keyword": [
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        "NWCA",
        "EPA",
        "states",
        "Tribes",
        "statistical survey",
        "condition",
        "assessment",
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        "chemical",
        "physical habitat",
        "soil",
        "floristic quality",
        "water quality",
        "National Aquatic Resource Surveys",
        "NARS"
      ],
      "contactPoint": {
        "fn": "Gregg Serenbetz",
        "hasEmail": "mailto:serenbetz.gregg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/national-wetland-condition-assessment-2011-results",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/national-wetland-condition-assessment-2011-results",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chowan River",
      "description": "Weekly composite satellite data for the Chowan River, North Carolina. \n\nThis dataset is associated with the following publication:\nPierce, E., M. Valera, M. Vander Borgh, D. Wiltsie, E. Fensin, C. Godwin, J. Paxson, G. Putnam, C. Karl, B. Schaeffer, and A. Schnetzer. Unprecedented toxic blooms of Microcystis spp. in 2019 in the Chowan River, North Carolina.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 140: 102747, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531026",
      "keyword": [
        "Congener Composition",
        "Cyanobacteria Composition",
        "Dissolved and Particulate Microcystin",
        "North Carolina",
        "satellite",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://oceancolor.gsfc.nasa.gov/about/projects/cyan/",
          "accessURL": "https://oceancolor.gsfc.nasa.gov/about/projects/cyan/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-10",
      "references": [
        "https://doi.org/10.1016/j.hal.2024.102747",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11647567"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Wetland Condition Assessment 2021 Datafiles for Report “National Wetland Condition Assessment: The Third Collaborative Survey of Wetlands in the United States”",
      "description": "The National Wetland Condition Assessment (NWCA) is a statistical survey of the condition of wetlands in the conterminous United States. It is designed to provide information on the extent of wetlands that support healthy biological condition, estimate how widespread major stressors are that impact wetland quality, and provide insight into the ecological integrity of wetlands nationwide. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NWCA 2021 report. Sampling was conducted in the spring and summer of 2021 at approximately 1,000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include site information, vegetation characteristics, hydrology sources and disturbances, physical habitat, landscape metrics, algal toxins (microcystin), and water chemistry. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.\n\nCitation for the NWCA 2021 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Wetland Condition Assessment 2021 Report. Archived Data. Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2021. DOI: 10.23719/1531930\n\nEPA encourages users who are publishing subsets of the data (e.g., as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Wetland Condition Assessment 2021 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” \n\nAdditional information: NWCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.",
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        "020:00"
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      "identifier": "https://doi.org/10.23719/1531930",
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        "Tribes",
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        "chemical",
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      ],
      "contactPoint": {
        "fn": "Gregg Serenbetz",
        "hasEmail": "mailto:serenbetz.gregg@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2021",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2021",
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          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ciprofloxacin and azithromycin resistant bacteria data",
      "description": "Data set includes total aerobic bacterial counts of Raw, Digested, and Treated sewage sludge materials from a single wastewater treatment plant.  Data set contains results from multiple sample events from the same wastewater treatment plant.  Total aerobic bacterial counts for the same 3 categories that are resistant to Ciprofloxacin, and Azithromycin and different levels of antibiotics. \n\nThis dataset is associated with the following publication:\nNiang, M., J. Reichard, A. Maier, G. Talaska, J. Ying, J. Santo Domingo, E. Varughese, L. Boczek, E. Huff, and T. Reponen. Ciprofloxacin and azithromycin resistant bacteria in a wastewater treatment plant.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 20(5-6): 219-225, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531892",
      "keyword": [
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        "antimicrobial activity"
      ],
      "contactPoint": {
        "fn": "Laura Boczek",
        "hasEmail": "mailto:boczek.laura@epa.gov"
      },
      "distribution": [
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          "title": "biosolids AMR reduction results.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531892/biosolids%20AMR%20reduction%20results.pdf",
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      ],
      "modified": "2024-12-04",
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    },
    {
      "title": "National Rivers and Streams Assessment 2013/2014 Data files for Report \"National Rivers and Streams Assessment 2013-2014: A Collaborative Survey\"",
      "description": "The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner.\n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2013/2014) report. Sampling was conducted over two summer index periods (June through September 2013 and 2014) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys\nCitation for the NRSA 2013/2014 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2013-2014. \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2013/2014 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”\n\nAdditional information: NRSA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531933",
      "keyword": [
        "rivers",
        "streams",
        "nutrients",
        "water chemistry",
        "benthic macroinvertebrates",
        "physical habitat",
        "Fish Assemblage"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2013-2014",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2013-2014",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA201314_AllDataFiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531933/NRSA201314_AllDataFiles.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-14",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Rivers and Streams Assessment 2018-2019 Date files for report \"National Rivers and Streams Assessment: The Third Collaborative Survey\"",
      "description": "The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner.\n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2018/2019) report. Sampling was conducted over two summer index periods (June through September 2018 and 2019) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.\n\nCitation for the NRSA 2018/2019 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2018-19. \n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2018/2019 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.\n\nAdditional information: NRSA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531934",
      "keyword": [
        "rivers",
        "streams",
        "nutrients",
        "water chemistry",
        "benthic macroinvertebrates",
        "Fish Assemblage",
        "physical habitat"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2018-19",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2018-19",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA 2018-19 Data Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531934/NRSA%202018-19%20Data%20Files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-14",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Rivers and Streams Assessment 2008/2009 Data file for Report \"National Rivers and Streams Assessment 2008-2009: A Collaborative Survey",
      "description": "The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner.\n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2008/2009) report. Sampling was conducted over two summers (2008/2009) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys.\n\nCitation for the NRSA 2008/2009 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results.\n \nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2008/2009 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531939",
      "keyword": [
        "rivers",
        "streams",
        "nutrients",
        "water chemistry",
        "benthic macroinvertebrates",
        "Fish Assemblage",
        "physical habitat"
      ],
      "contactPoint": {
        "fn": "Richard Mitchell",
        "hasEmail": "mailto:mitchell.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA 0809 All Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531939/NRSA%200809%20All%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-14",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Lakes Assessment 2022 Datafiles for Report \" National Lakes Assessment: The Fourth Collaborative Survey of Lakes in the United States”",
      "description": "The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lake quality is improving or getting worse. \n\nThis dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2022 report. Sampling was conducted in the summer of 2022 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, secchi depth, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys \n\nCitation for the NLA 2022 archived data: U.S. Environmental Protection Agency. 2024. National Lakes Assessment: The fourth collaborative survey of lakes in the United States. EPA 841-R-24-006. U.S. Environmental Protection Agency, Office of Water and Office of Research and Development. https://nationallakesassessment.epa.gov/webreport\n\nEPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2022 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.”. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531936",
      "keyword": [
        "NARS (National Aquatic Resource Survey)",
        "Freshwater Lakes",
        "Inland lakes",
        "zooplankton",
        "physical habitat",
        "Secchi Depth",
        "chlorophyll a",
        "cyanotoxins",
        "Enterococci",
        "dissolved oxygen concentration",
        "NLA",
        "total nitrogen",
        "total phosphorus",
        "Statistical Surveys",
        "benthic macroinvertebrate"
      ],
      "contactPoint": {
        "fn": "Lareina Guenzel",
        "hasEmail": "mailto:guenzel.lareina@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2022",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2022",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-26",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioaccumulation in fish (Cyprinodon variegatus) during rejuvenations of a thin active cap over field-aged PCB contaminated sediment: The effect of clean versus contaminated ongoing influx",
      "description": "Please contact first author (e.g., P Gidley). This dataset is not publicly accessible because: Non-U.S. EPA data. It can be accessed through the following means: Please contact first author (e.g., P Gidley). Format: Please contact first author (e.g., P Gidley). \n\nThis dataset is associated with the following publication:\nGidley, P.T., G.R. Lotufo, A.J. Kennedy, L.A. Fernandez, C.H. Laber, N.L. Melby, A.H. Wooley, and R.M. Burgess. Bioaccumulation in fish (Cyprinodon variegatus) during rejuvenations of a thin active cap over field-aged PCB contaminated sediment: The effect of clean versus contaminated ongoing influx.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 955: 176986, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531929",
      "keyword": [
        "PCBs",
        "fish",
        "bioaccumulation",
        "sediments",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Robert Burgess",
        "hasEmail": "mailto:burgess.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2024-10-14",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176986",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11727888"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Journal publication ",
      "description": "Molecular insights into the bonding mechanisms between selenium and dissolved organic matter related data and publication. This dataset is not publicly accessible because: Projects and data are not funded by the EPA and are owned by the collaborating partners involved. It can be accessed through the following means:  To obtain the raw data, please contact Professor Kevin at osheak@fiu.edu. Format: The raw data plotted as graphs is included in the journal manuscript. \n\nThis dataset is associated with the following publication:\nZhang, Z., L. M. Miller, H. He, M. Nadagouda, T.  Borch, K. O'Shea, and D.  Dionysiou. Molecular insights into the bonding mechanisms between selenium and dissolved organic matter.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 915: 169429, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531937",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Selenium",
        "Molecular insights",
        "Mechanism",
        "NOM"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-15",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.169429"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Development of tungsten-modified iron oxides to decompose an over-the-counter painkiller, Acetaminophen by activating peroxymonosulfate",
      "description": "Development of tungsten-modified iron oxides to decompose an over-the-counter painkiller, Acetaminophen by activating peroxymonosulfate. This dataset is not publicly accessible because: Projects and data are not funded by the EPA and are owned by the collaborating partners involved. It can be accessed through the following means:  To obtain the raw data, please contact Professor Han at hanck@inha.ac.kr. Format: The raw data plotted as graphs is included in the journal manuscript. \n\nThis dataset is associated with the following publication:\nSin, A., L. Machala, M. Kim\t, Z. Badura\t, M. Petr, M. Polaskova, P. Novak, M. Nadagouda, D.  Dionysiou, and C. Han. Development of tungsten-modified iron oxides to decompose an over-the-counter painkiller, Acetaminophen by activating peroxymonosulfate.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 951: 175472, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531938",
      "keyword": [
        "Catalyst",
        "Acetaminophen",
        "Nitrogen and Co-pollutants",
        "wastewater monitoring"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-15",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.175472"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set for Analysis of PM2.5, black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS)",
      "description": "This dataset provides all the data used to generate the Tables and Figures in the journal article titled 'Analysis of PM2.5, black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study (KC-TRAQS)'. \n\nThis dataset is associated with the following publication:\nDuvall, R., S. Kimbrough, S. Krabbe, P. Deshmukh, R. Baldauf, L. Brouwer, T. MacArthur, C. Croghan, J. Varga, M. Brown, and M. Davis. Analysis of PM2.5, black carbon, and trace metals measurements from the Kansas City Transportation and Local-Scale Air Quality Study.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA,  na, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529794",
      "keyword": [
        "particulate matter (PM)",
        "air pollution",
        "near source",
        "railyard",
        "Black Carbon",
        "Trace metals"
      ],
      "contactPoint": {
        "fn": "Rachelle Duvall",
        "hasEmail": "mailto:duvall.rachelle@epa.gov"
      },
      "distribution": [
        {
          "title": "KC-TRAQS Manuscript_Data for Tables and Figures_ScienceHub_12-3-2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529794/KC-TRAQS%20Manuscript_Data%20for%20Tables%20and%20Figures_ScienceHub_12-3-2024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-03",
      "references": [
        "https://doi.org/10.1080/10962247.2024.2365708",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11361304"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Laboratory Development and Validation of Vapor Phase PFAS",
      "description": "This research effort represents our initial method development research for soil gas, sewer gas, and indoor air samples for PFAS analyses as related to vapor intrusion. The product and associated subsequent products will be consistently updated leading to a constantly expanding database incorporating additional experiments. \n\nThis dataset is associated with the following publication:\nHayes, H., C. Lutes, N. Watson, D. Benton, D. Hanigan, S. McCoy, C. Holton, K. Bronstein, B. Schumacher, J. Zimmerman, and A. Williams. Laboratory development and validation of vapor phase PFAS methods for soil gas, sewer gas, and indoor air.   Environmental Science: Atmospheres. Royal Society of Chemistry, Cambridge,  UK, 5: 94-109, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531879",
      "keyword": [
        "Sewer Gas",
        "Vapor Phase",
        "soil gas",
        "PFAS",
        "PFOA",
        "indoor air"
      ],
      "contactPoint": {
        "fn": "Brian Schumacher",
        "hasEmail": "mailto:schumacher.brian@epa.gov"
      },
      "distribution": [
        {
          "title": "Storage Stability.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531879/Storage%20Stability.zip",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFOA Stability.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531879/PFOA%20Stability.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Instrument Validation.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531879/Instrument%20Validation.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-05",
      "references": [
        "https://doi.org/10.1039/d4ea00084f"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Molecular dataset on Denitrifying Anaerobic Methane Oxidation (DAMO) Enrichment",
      "description": "Raw sequencing data from Denitrifying Anaerobic Methane Oxidation (DAMO) experiments and the relevant statistical data generated by various bioinformatics tools. This dataset is not publicly accessible because: All the experiments for this study were not performed in EPA but in co-authors' institution which has managed the project and prepared a manuscript for peer-reviewed journal submission. It can be accessed through the following means: The raw data will be made available by the authors on request (Dr. Yaohuan Gao, gaoyaohuan@xjtu.edu.cn). Format: Not available because the raw data was not generated in EPA. \n\nThis dataset is associated with the following publication:\nXia, L., Y. Wang, P. Yao, H. Ryu, Z. Dong, C. Tan, S. Deng, H. Liao, and Y. Gao. The effects of model insoluble copper compounds in anoxic sedimentary environment on denitrifying anaerobic methane oxidation (DAMO) activity.   Microorganisms. MDPI, Basel,  SWITZERLAND, 12(11): 2259, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531940",
      "keyword": [
        "Candidatus Methanoperedens sp.",
        "DAMO",
        "Candidatus Methylomirabilis sp"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-16",
      "references": [
        "https://doi.org/10.3390/microorganisms12112259",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11596795"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ferrate microbial disinfection raw data",
      "description": "Two excel files include 1) raw data of ferrate microbial disinfection experiments and 2) CT calculations and figures used in the journal article published. \n\nThis dataset is associated with the following publication:\nBoczek, L., M. Ware, M. Rodgers, and H. Ryu. Potassium ferrate's disinfecting ability: a study on human adenovirus, Giardia duodenalis, and microbial indicators under varying pH and water temperature conditions.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 22(6): 1102-1110, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531942",
      "keyword": [
        "microbial inactivation",
        "Potassium ferrate",
        "waterborne pathogens",
        "CT table"
      ],
      "contactPoint": {
        "fn": "Hodon Ryu",
        "hasEmail": "mailto:ryu.hodon@epa.gov"
      },
      "distribution": [
        {
          "title": "Master_all results figures-rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531942/Master_all%20results%20figures-rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ferrate_ct1.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531942/ferrate_ct1.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-16",
      "references": [
        "https://doi.org/10.2166/wh.2024.087",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11618379"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Well log of private well at Eagle Industries Superfund site",
      "description": "This file shows well log information of an off-site well, to include: natural gamma, electrical resistivity, and electrical conductivity.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531946",
      "keyword": [
        "Well Logging"
      ],
      "contactPoint": {
        "fn": "Jon Fields",
        "hasEmail": "mailto:fields.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "WALKERPROPERTY_07-25-24_11-27_9510A_.10_0.60_175.50_ORIGv2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531946/WALKERPROPERTY_07-25-24_11-27_9510A_.10_0.60_175.50_ORIGv2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Expediated Modeling of Burn Events Results (EMBER) Data Files Creators",
      "description": "This dataset includes photochemical air quality modeling files for simulations of fire impacts on ground-level ozone cocnentrations in the U.S. during the summer of 2023. A data dictionary describes what is included in the each of the files. Detailed information on the model simulations and the file contents is included in a journal article documenting the dataset: Simon, H., Beidler, J., Baker, K.R., Henderson, B.H., Fox, L., Misenis, C., Campbell, P., Vukovich, J. Possiel, N., Eyth, E. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US, Data in Brief, https://doi.org/10.1016/j.dib.2024.111208\n\nA web-based tool for browsing this dataset is also available at: https://www.epa.gov/air-quality-analysis/expedited-modeling-burn-events-results-ember. \n\nThis dataset is associated with the following publication:\nSimon, H., J. Beidler, K. Baker, B. Henderson, L. Fox, C. Misenis, P. Campbell, J. Vukovich, N. Possiel, and A. Eyth. Expediated Modeling of Burn Events Results (EMBER): A Screening-Level Dataset of 2023 Ozone Fire Impacts in the US.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 58: 111208, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531914",
      "keyword": [
        "air pollution",
        "photochemical modeling",
        "Source Attribution",
        "Wildland Fire"
      ],
      "contactPoint": {
        "fn": "James Beidler",
        "hasEmail": "mailto:beidler.james@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/13737754",
          "accessURL": "https://zenodo.org/records/13737754",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-09",
      "references": [
        "https://doi.org/10.1016/j.dib.2024.111208",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11728960"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rare Earth Element data from Acid Mine Drainage and Refuse Piles in Shamokin, Pennsylvania",
      "description": "These datasets include characterization results for acid mine drainage (AMD) and coal refuse samples collected around Shamokin, Pennsylvania in May 2024. These datasets report concentrations of Critical Minerals/Rare Earth Elements (CM/REE) in fourteen water samples and fourteen sediment/solid samples. Water samples were collected unfiltered and field-filtered (0.45-micron pore size) in order to evaluate the potential partitioning of CM/REE to suspended solids in AMD waters. The concentration data were determined using High Resolution-Inductively Coupled Plasma-Mass spectrometry following EPA/ORD-K-GCRD-SOP-1158-1 (EPA/600/X-24/012). This sampling and analytical effort builds upon past sampling events in the area by the U.S. Geological Survey (USGS) and the Pennsylvania Department of Environmental Protection (PADEP). These datasets are of interest to CM/REE researchers as well as neighboring communities for understanding and evaluating the presence and abundance of CM/REEs in both acid mine drainage media and coal mine wastes.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531948",
      "keyword": [
        "acid mine drainage",
        "Rare Earth Elements",
        "Critical Minerals",
        "coal"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA MA140h SS8044 Shamokin ROAR R3 Soilds REEs HR-ICP-MS MW digestion.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531948/EPA%20MA140h%20SS8044%20Shamokin%20ROAR%20R3%20Soilds%20REEs%20HR-ICP-MS%20MW%20digestion.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA MA140d SS8044 Shamokin ROAR R3 Total REEs HR-ICP-MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531948/EPA%20MA140d%20SS8044%20Shamokin%20ROAR%20R3%20Total%20REEs%20HR-ICP-MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA MA140c SS8044 Shamokin ROAR R3 Dissolved REEs HR-ICP-MS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531948/EPA%20MA140c%20SS8044%20Shamokin%20ROAR%20R3%20Dissolved%20REEs%20HR-ICP-MS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Dynamically Downscaled Ensemble (EDDE) Version 2",
      "description": "The EPA Dynamically Downscaled Ensemble (EDDE) Version 2 is a collection of physics-based projections of future conditions, as well as historical simulations, dynamically downscaled from global climate models within the Sixth Coupled Model Intercomparison Project (CMIP6) using the Weather Research and Forecasting (WRF) model.  EDDE V2 contains simulations over the historical period 1985-2014 and projections of a future period 2025-2100 under multiple Shared Socioeconomic Pathways (SSPs) downscaled on a 12-km domain over the contiguous U.S.  EDDE datasets are subset from WRF's output and then prepared by EPA/ORD staff and by contract staff who worked under the technical guidance of EPA/ORD staff.  Data are in Network Common Data Form (netCDF) version 4, which is used in atmospheric modeling. The EDDE data in netCDF are further written to adhere to principles of Climate and Forecasting System (CF) Compliance, as outlined at https://cfconventions.org. The files are self-describing with metadata included in the netCDF header.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531941",
      "keyword": [
        "Extreme Weather",
        "dynamical downscaling",
        "WRF",
        "atmospheric modeling",
        "climate change",
        "regional climate"
      ],
      "contactPoint": {
        "fn": "Megan Mallard",
        "hasEmail": "mailto:mallard.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://epa-edde-v2.s3.amazonaws.com/index.html",
          "accessURL": "https://epa-edde-v2.s3.amazonaws.com/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aws.amazon.com/marketplace/pp/prodview-dopntz6hxihde?sr=0-4&ref_=beagle&applicationId=AWSMPContessa#resources",
          "accessURL": "https://aws.amazon.com/marketplace/pp/prodview-dopntz6hxihde?sr=0-4&ref_=beagle&applicationId=AWSMPContessa#resources",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Aerosol Mass Spectrometry Data",
      "description": "Data was provided by EPA from an air quality model (the Community Multiscale Air Quality or \"CMAQ\" model) that predicts surface level atmospheric concentrations of air pollutants. These data were provided in the form of shape files and are available from the corresponding author upon request. Specific data include predictions of total primary organic aerosol concentrations, as well as individual fractions of primary organic aerosol from key sources like onroad vehicles and cooking sources. \n\nThis dataset is associated with the following publication:\nSaha, P., A. Presto, S. Hankey, B. Murphy, C. Allen, W. Zhang, J. Marshall, and A. Robinson. National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(20): 14284-14295, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526482",
      "keyword": [
        "air pollution",
        "organic aerosol",
        "ambient air",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Benjamin Murphy",
        "hasEmail": "mailto:murphy.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "POA_Shapefiles.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526482/POA_Shapefiles.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-01",
      "references": [
        "https://doi.org/10.1021/acs.est.2c03398"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1526482/documents/Saha%2C%20data%20dictionary.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "Non-Wovens Paper Dataset",
      "description": "Data from non-woven glove box experiments with Bacillus atrophaeus and ClO2. \n\nThis dataset is associated with the following publication:\nLemieux, P., A. Touati, J. Sawyer, D. Aslett, S. Serre, B. Pourdeyhimi, P. Grondin, T. MacArthur, A. Abdel-Hady, and M. Monge. Use of Semi-Permeable Bag Materials to Facilitate On-Site Treatment of Biological Agent-Contaminated Waste.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 178: 292-300, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531868",
      "keyword": [
        "Waste Management",
        "remediation",
        "emergency response",
        "resilience"
      ],
      "contactPoint": {
        "fn": "Paul Lemieux",
        "hasEmail": "mailto:lemieux.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "Lemieux Data Dictionary - Nonwoven Paper.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531868/Lemieux%20Data%20Dictionary%20-%20Nonwoven%20Paper.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Glossary for manuscript.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531868/Glossary%20for%20manuscript.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Environmental parameters_3000ppm_3hour_Test1 pml 032123.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531868/Environmental%20parameters_3000ppm_3hour_Test1%20pml%20032123.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-21",
      "references": [
        "https://doi.org/10.1016/j.wasman.2024.02.006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Full dataset for \"Potential Use of Filter Sampling for Environmental Water with Fecal Indicator Bacteria and Bioterrorism Surrogates\"",
      "description": "Full dataset for manuscript titled \"Potential Use of Filter Sampling for Environmental Water with Fecal Indicator Bacteria and Bioterrorism Surrogates\". \n\nThis dataset is associated with the following publication:\nAbdel-Hady, A., M. Monge, D. Aslett, A. Mikelonis, A. Touati, and K. Ratliff. Comparison of liquid and filter sampling techniques for recovery of Bacillus spores and Escherichia coli from environmental water.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 370: 122711, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528788",
      "keyword": [
        "filter sampling",
        "Escherichia coli",
        "eDNA",
        "Bacillus anthracis"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "filter sample manuscript data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528788/filter%20sample%20manuscript%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-12",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.122711"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Treatment Wetlands LRV Database",
      "description": "Database of reported pathogen log reduction values (LRVs) reported in the literature for wetland treatment systems as a function of study and wetland characteristics. \n\nThis dataset is associated with the following publication:\nArden, S., M. Anderson, J. Blue, X. Ma, M. Jahne, and J. Garland. Towards the Definition of Treatment Wetland Pathogen Log Reduction Credits.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 957: 177613, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529753",
      "keyword": [
        "treatment wetland",
        "water reuse",
        "log reduction",
        "Pathogen"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Treatment Wetlands LRV Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529753/Treatment%20Wetlands%20LRV%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.177613"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pesticide Residue Concentration in Honey Bee Hive Matrices",
      "description": "Pesticide concentrations determined in honey bee hive matrices from GC/qToF-MS analysis.  Including neonicotinoid concentrations determined by LC-MS/MS as published in Lin et al., 2021. \n\nThis dataset is associated with the following publication:\nGlinski, D., S. Purucker, J. Minucci, R. Richardson, C. Lin, R. Johnson, and W. Henderson. Analysis of contaminant residues in honey bee hive matrices.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 954: 176329, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523343",
      "keyword": [
        "honey bee",
        "pesticides",
        "multiple stressors",
        "ecological risk"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "HendersonWMatthew_Concentrationsof Pesticides in Honey Bees_final_230112.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523343/HendersonWMatthew_Concentrationsof%20Pesticides%20in%20Honey%20Bees_final_230112.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HendersonWilliamM_Data Dictionary_230112_Honey Bee Pesticides.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523343/HendersonWilliamM_Data%20Dictionary_230112_Honey%20Bee%20Pesticides.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-05",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.176329"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metabolomic Investigations of the Temporal Effects of Exposure to Pharmaceuticals and 4 Personal Care Products and their Mixture in the Eastern Oyster (Crassostrea virginica)",
      "description": "The eastern oyster (Crassostrea virginica) supports a large aquaculture industry and is a keystone species along the Atlantic seaboard. Native oysters are routinely exposed to a complex mixture of contaminants that increasingly includes pharmaceuticals and personal care products (PPCPs). Unfortunately, the biological effects of chemical mixtures on oysters are poorly understood. Untargeted GC-MS metabolomics was utilized to quantify the response of oysters exposed to fluoxetine, N,N-diethyl-meta-toluamide (DEET), 17α-ethynylestradiol (EE2), diphenhydramine and their mixture. Oysters were exposed to 1 µg/L of each chemical or mixture for ten days, followed by an eight-day depuration period. Adductor muscle (n = 14/treatment) was sampled at days 0, 1, 5, 10 and 18. Trajectory analysis illustrated that metabolic effects and class separation of the treatments varied at each time point, and that overall, the oysters were only able to partially recover from these exposures post-depuration. Altered metabolites were associated with cellular energetics (i.e. Krebs cycle intermediates), as well as amino acid metabolism and the urea cycle. Exposure to these PPCPs also affected metabolic pathways associated with anaerobic metabolism, osmotic stress and oxidative stress, in addition to the physiological effects from each chemical’s postulated mechanism of action. Following depuration, there were fewer metabolites altered, but none of the treatments returned to their initial control values, indicating that metabolic disruptions were long-lasting. Interestingly, the mixture did not directly cluster with individual treatments in the scores plot from partial least squares discriminant analysis and many of its affected metabolic pathways were not well-predicted from the individual treatments. This research highlights the utility of untargeted metabolomics in developing exposure biomarkers for compounds with differing modes of action in bivalves. \n\nThis dataset is associated with the following publication:\nBrew, D., M. Black, M. Santos, J. Rodgers, and W. Henderson. Metabolomic Investigations of the Temporal Effects of Exposure to Pharmaceuticals and Personal Care Products and Their Mixture in the Eastern Oyster (Crassostrea virginica).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(2): 419-436, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1522871",
      "keyword": [
        "aquatic invertebrates",
        "aquatic toxicology",
        "metabolomics",
        "mixture toxicology",
        "effects-based monitoring",
        "contaminants of emerging concern"
      ],
      "contactPoint": {
        "fn": "William Henderson",
        "hasEmail": "mailto:henderson.matt@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.6084/m9.figshare.11353085.v1",
          "accessURL": "https://doi.org/10.6084/m9.figshare.11353085.v1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2019-12-12",
      "references": [
        "https://doi.org/10.1002/etc.4627"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Vertical stratification of the water microbiome in an electric water heater tank",
      "description": "The raw sequence reads have been submitted to the NCBI Sequence Read Archive (SRA) under the BioProject PRJNA961987 with the following BioSample numbers: SAMN39596420, SAMN39596421, SAMN39596422, SAMN39596423, SAMN39596424, SAMN39596425, SAMN39596426, SAMN39596427, SAMN39596428, SAMN39596429, SAMN39596430, SAMN39596431, SAMN39596432, SAMN39596433, SAMN39596434, SAMN39596435, SAMN39596436, SAMN39596437, and SAMN39596438.\n\nA table (Table_diversity_indices.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), diversity indices (Chao and Shannon), and water temperature (°C) for each Set of samples.\n\nA table (Table_Legiolert.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), abundance of cultured Legionella pneumophila (MPN/100mL), and water temperature (°C) for each Set of samples.\n\nA table (Table_qPCR_L_pneumophila.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of L. pneumophila (GCN/100mL), and water temperature (°C) for each Set of samples.\n\nA table (Table_qPCR_Legionella.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Legionella spp. (GCN/100mL), and water temperature (°C) for each Set of samples.\n\nA table (Table_qPCR_Mycobacterium.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Mycobacterium spp. (GCN/100mL), and water temperature (°C) for each Set of samples.\n\nA table (Table_qPCR_V_vermiformis.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of V. vermiformis (GCN/100mL), and water temperature (°C) for each Set of samples.\n\nAn abundance matrix (Table_taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads obtained for each Set of samples.\n\nA table (Table_water_temperature.xlsx) contains rows as water samples with ID, columns as temperature (°C and °F) measured from the top, bottom and drain of the water tank for each Set of samples. \n\nThis dataset is associated with the following publication:\nGomez-Alvarez, V., H. Ryu, M. McNeely, C. Muhlen, D. Williams, D. Lytle, and L. Boczek. Vertical Stratification of the Water Microbiome in an Electric Water Heater Tank: implications for premise plumbing opportunistic pathogens.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 22(12): 2346–2357, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530693",
      "keyword": [
        "Legionella pneumophila",
        "Premise Plumbing",
        "microbial communities",
        "opportunistic pathogens",
        "hot water tank"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596420",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596420",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596421",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596421",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596422",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596422",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596423",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596423",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596424",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596424",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596425",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596425",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596426",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596426",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596427",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596427",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596428",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596428",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596429",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596429",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596430",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596430",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596431",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596431",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596432",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596432",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596433",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596433",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596434",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596434",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596435",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596435",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596436",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596436",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596437",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596437",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596438",
          "accessURL": "https://www.ncbi.nlm.nih.gov/biosample/SAMN39596438",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_taxonomy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_taxonomy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_water_temperature.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_water_temperature.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_qPCR_V_vermiformis .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_qPCR_V_vermiformis%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_qPCR_Mycobacterium.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_qPCR_Mycobacterium.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_qPCR_Legionella.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_qPCR_Legionella.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_qPCR_L_pneumophila.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_qPCR_L_pneumophila.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_Legiolert.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_Legiolert.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table_diversity_indices.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530693/Table_diversity_indices.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-16",
      "references": [
        "https://doi.org/10.2166/wh.2024.265"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Bi-Directional Lung Brain-Axis of Amyloid β Pathology: Ozone Dysregulates the Peri- Plaque Microenvironment",
      "description": "These data pertains to research results from studies examining ozone effects on the mechanism of amyloid plaque formation in mouse brain. This dataset is not publicly accessible because: I don't have access to these data. It can be accessed through the following means: Contacting the senior author to access the data. Format: spreadsheets, pathology pictures and immunoblots. \n\nThis dataset is associated with the following publication:\nGreve, H., A. Dunbar, C. Lombo, C. Ahmed, M. Thang, E. Messenger, C. Mumaw, J. Johnson, U. Kodavanti, A. Oblock, and M. Block. The Bi-Directional Lung Brain-Axis of Amyloid β Pathology: Ozone Dysregulates the Peri- Plaque Microenvironment.   Brain. Oxford University Press, OXFORD,  UK, 146(3): 991-1005, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531949",
      "keyword": [
        "climate change",
        "Amyloid plaque",
        "Nitrogen and Co-pollutants",
        "Mouse model of human gene mutations",
        "Alzheimer's disease",
        "brain pathology"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [],
      "modified": "2022-03-28",
      "references": [
        "https://doi.org/10.1093/brain/awac113",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10169526"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of Regional Prescribed Fire Encounters",
      "description": "Data sets used in the analysis presented in the manuscript “Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS”.  This data was derived from geospatial data of USDA US Forest Service prescribed fire activity and wildfire activity. The data supporting each of the Figures in the manuscript were provided in a file specific for that Figure. Some figures may have more than one associated file based on the number of panels. Each file is in comma-separated value (csv) format and contains the data used to generate that Figure. \n\nThis dataset is associated with the following publication:\nBeidler, J., K. Baker, G. Pouliot, and J. Sacks. Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 1(12): 1687-1695, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531951",
      "keyword": [
        "air quality",
        "Prescribed Fires"
      ],
      "contactPoint": {
        "fn": "James Beidler",
        "hasEmail": "mailto:beidler.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Prescribed_Encounters_Figure_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531951/Prescribed_Encounters_Figure_Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-21",
      "references": [
        "https://doi.org/10.1021/acsestair.4c00228",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650585"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531951/documents/Beidler_Data_Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Application of systematic evidence mapping to identify available data on the potential human health hazards of selected market-relevant azo dyes",
      "description": "Background: Azo dyes are used in textiles and leather clothing. Human exposure can occur from wearing textiles containing azo dyes. Since the body’s enzymes and microbiome can cleave azo dyes, potentially resulting in mutagenic or carcinogenic metabolites, there is also an indirect health concern on the parent compounds. While several hazardous azo dyes are banned, many more are still in use that have not been evaluated systematically for potential health concerns. This systematic evidence map (SEM) aims to compile and categorize the available toxicological evidence on the potential human health risks of a set of 30 market-relevant azo dyes. Methods: Peer-reviewed and gray literature was searched and over 20,000 studies were identified. These were filtered using Sciome Workbench for Interactive computer-Facilitated Text-mining (SWIFT) Review software with evidence stream tags (human, animal, in vitro) yielding 12,800 unique records. SWIFT Active (a machine-learning software) further facilitated title/abstract screening. DistillerSR software was used for additional title/ abstract, full-text screening, and data extraction. Results: 187 studies were identified that met populations, exposures, comparators, and outcomes (PECO) criteria. From this pool, 54 human, 78 animal, and 61 genotoxicity studies were extracted into a literature inventory. Toxicological evidence was abundant for three azo dyes (also used as food additives) and sparse for five of the remaining 27 compounds. Complementary search in ECHA’s REACH database for summaries of unpublished study reports revealed evidence for all 30 dyes. The question arose of how this information can be fed into an SEM process. Proper identification of prioritized dyes from various databases (including U.S. EPA’s CompTox Chemicals Dashboard) turned out to be a challenge. Evidence compiled by this SEM project can be evaluated for subsequent use in problem formulation efforts to inform potential regulatory needs and prepare for a more efficient and targeted evaluation in the future for human health assessments. \n\nThis dataset is associated with the following publication:\nKeshava, C., S. Nicolai, S. Vulimiri, F.A. Cruzb, N. Ghoreishi, S. Knueppel, A. Lenzner, P. Tarnow, J. Vanselow, B. Schulz, A. Persad, N. Baker, K. Chialton, A. Williams, and R. Pirow. Application of systematic evidence mapping to identify available data on the potential human health hazards of selected market-relevant azo dyes.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 176: 107952, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531731",
      "keyword": [
        "Children's Environmental Health",
        "Risk Assessment",
        "azo dyes",
        "systematic review",
        "evidence map",
        "hazard characterization"
      ],
      "contactPoint": {
        "fn": "Channa Keshava",
        "hasEmail": "mailto:keshava.channa@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0160412023002258?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0160412023002258?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-04-30",
      "references": [
        "https://doi.org/10.1016/j.envint.2023.107952"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "literature review -- no dataset",
      "description": "This is a literature review, so contains no original data. This dataset is not publicly accessible because: This is a literature review.  There are no data. It can be accessed through the following means: This is a literature review.  There are no data. Format: This is a literature review.  There are no data. \n\nThis dataset is associated with the following publication:\nKaminski, M., N. Daiyega, and M. Magnuson. A Review of the Resuspension of Radioactively Contaminated Particles by Vehicle and Pedestrian Traffic – Current Theory, Practice, Gaps, and Needs.   HEALTH PHYSICS. Lippincott Williams & Wilkins, Philadelphia, PA, USA, 126(4): 216-240, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531932",
      "keyword": [
        "Indoor outdoor decontamination",
        "mitigation",
        "resuspension",
        "radiological"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-14",
      "references": [
        "https://doi.org/10.1097/hp.0000000000001797"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All_figures",
      "description": "Data corresponding to graphs in paper. \n\nThis dataset is associated with the following publication:\nHepler, K., M. Kaminski, N. Escamallia, and M. Magnuson. Effects of aging of radioactive fallout on timely decontamination of concrete using low and mild pressure washing.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 10(14): e34447, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531931",
      "keyword": [
        "radiological recovery",
        "Indoor outdoor decontamination",
        "RDD",
        "Decontamination",
        "water security",
        "cesium"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Figs 3 to 5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531931/Figs%203%20to%205.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531931/Fig%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fig 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531931/Fig%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-14",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2024.e34447",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11315177"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Buse_R6 RARE_dataset_ORD-055124",
      "description": "Dataset accompanying published journal article: at Microbial and physicochemical water quality changes within distribution and premise plumbing systems during a chlorine conversion | PLOS Water. \n\nThis dataset is associated with the following publication:\nBuse, H., and J. Mistry. Microbial and physicochemical water quality changes within distribution and premise plumbing systems during a chlorine conversion.   PLOS Water. Public Library of Science, San Francisco, CA, USA, 3(2): e0000181, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531855",
      "keyword": [
        "chlorine burn",
        "opportunistic pathogens",
        "Premise Plumbing",
        "potable water",
        "phylogenetic analysis",
        "nosocomial pathogens",
        "genetic diversity",
        "environmental monitoring"
      ],
      "contactPoint": {
        "fn": "Helen Buse",
        "hasEmail": "mailto:buse.helen@epa.gov"
      },
      "distribution": [
        {
          "title": "Buse_R6 RARE_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531855/Buse_R6%20RARE_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-21",
      "references": [
        "https://doi.org/10.1371/journal.pwat.0000181"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WNTR Landslides Dataset 080423",
      "description": "This dataset includes the WNTR simulation results of the impacts associated with landslide potential areas in a Pennsylvania drinking water utility. The analysis also includes the potential impacts associated with pipes that if broken might be difficult to repair. In addition, the results also include social vulnerability index data to associated with the population impacted data. \n\nThis dataset is associated with the following publication:\nHogge, J., K. Klise, D. Hart, and T. Haxton. Geospatial capabilities to couple hazard and social vulnerability data in water distribution criticality analysis.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 151(2): 05024016-1-11, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529409",
      "keyword": [
        "WNTR",
        "resilience",
        "Social Vulnerability Index",
        "emergency response",
        "EPANET",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Terranna Haxton",
        "hasEmail": "mailto:haxton.terra@epa.gov"
      },
      "distribution": [
        {
          "title": "WNTR-landslide-manuscript-figures-datasets_080423.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529409/WNTR-landslide-manuscript-figures-datasets_080423.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-04",
      "references": [
        "https://doi.org/10.1061/jwrmd5.wreng-6582"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF outputs for ALPACA 2022",
      "description": "Standard WRF output in NetCDF format. This dataset is not publicly accessible because: The dataset consist of 59 WRF output files totaling a size of about 90 Gb. It can be accessed through the following means: US EPA Atmos tape drive archive:\r\n/asm/MOD3DEV/met/ALPACA/wrf_outputs/ALL_OBS_TWEAKS_FDDA9. Format: Raw WRF outputs in NetCDF format. \n\nThis dataset is associated with the following publication:\nBrett, N., K. Law, S. Arnold, J.G. Fochesatto, J. Raut, T. Onishi, R. Gilliam, K. Fahey, D. Huff, G. Pouliot, B. Barret, E. Dieudonné, R. Pohorsky, J. Schmale, A. Baccarini, S. Bekki, G. Pappaccogli, F. Scoto, S. Decesari, A. Donateo, M. Cesler-Maloney, W. Simpson, P. Medina, B. D'Anna, B. Temime-Roussel, J. Savarino, S. Albertin, J. Mao, B. Alexander, A.  Moon, P. DeCarlo, V. Selimovic, R. Yokelson, and E.S. Robinson. Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska during ALPACA-2022.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(2): 1063–1104, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531873",
      "keyword": [
        "WRF",
        "NetCDF",
        "ALPACA",
        "Fairbanks"
      ],
      "contactPoint": {
        "fn": "Robert Gilliam",
        "hasEmail": "mailto:gilliam.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2022-11-30",
      "references": [
        "https://doi.org/10.5194/acp-25-1063-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531873/documents/WRF_Output_Description.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ and chlorine emission inventory",
      "description": "CMAQ and chlorine emission inventory. \n\nThis dataset is associated with the following publication:\nYi, X., S. Yin, G. Sarwar, Q. Li, L. Huang, Y. Wang, D. Wong, T. Wang, L. Xue, H. Chen, J. Chen, A. Saiz-Lopez, and L. Li. Potential environmental impact of the chlorine-containing disinfectants usage during the COVID-19.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 335: 120734, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531876",
      "keyword": [
        "Reactive chlorine",
        "particulate matter",
        "atmospheric oxidation capacity",
        "Ozone",
        "COVID-19"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.8241381",
          "accessURL": "https://doi.org/10.5281/zenodo.8241381",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-01",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120734"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ data used in Gaston et al. 2024 (https://doi.org/10.5194/acp-24-8049-2024)",
      "description": "This Dataset includes 2002-2011 daily average air quality concentrations of multiple species (fine and coarse mode aerosol sulfate, nitrate, calcium, potassium, and sodium; benzene; CO; H2O2; OH; SO2) for Barbados estimated from the Community Multiscale Air Quality (CMAQ) model as part of the EPA's Air Quality Time Series (EQUATES) Project. CMAQ estimates were from simulations of the Northern Hemisphere with horizontal grid spacing of 108 km x 108 km.  Model estimates were extracted from the lowest CMAQ model layer (∼ 10 m in thickness) for a source area over the Atlantic Ocean to the east of the island from 14.3989 to 11.45667° N latitude and 59.5627 to 56.54487° W longitude (equivalent to 16 model grid cells with 1 cell over Ragged Point and the others to the east of the site).  Modeled meteorological estimates (surface temperature, relative humidity, wind direction, wind speed) for the same set of grid cells was also extracted from simulations of the Weather and Research Forecasting (WRF) meteorological model used in the EQUATES project. Data for each model variable are provided as text files (one file for each variable and year) including date, grid cell center longitude and latitude, grid cell elevation and the the daily average model concentrations.  Text files are compressed into .zip files for each variable. \n\nThis dataset is associated with the following publication:\nGaston, C., J. Prospero, K. Foley, H. Pye, L. Custals, E. Blades, P. Sealy, and J. Christie. Diverging trends in aerosol sulfate and nitrate measured in the remote North Atlantic on Barbados are attributed to clean air policies, African smoke, and anthropogenic emissions.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 24(13): 8049–8066, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531913",
      "keyword": [
        "CMAQ",
        "EQUATES",
        "Aerosol",
        "sulfate",
        "nitrate",
        "hysplit"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/hesc/rsig-related-downloadable-data-files#dcffr",
          "accessURL": "https://www.epa.gov/hesc/rsig-related-downloadable-data-files#dcffr",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_WSPD10_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_WSPD10_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_WDIR10_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_WDIR10_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_SO2_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_SO2_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_SFC_TMP_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_SFC_TMP_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_RH_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_RH_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMF_SO4_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMF_SO4_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMF_NO3_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMF_NO3_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMF_K_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMF_K_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMF_CA_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMF_CA_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMC_SO4_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMC_SO4_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMC_NO3_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMC_NO3_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMC_NA_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMC_NA_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_PMC_K_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_PMC_K_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_OH_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_OH_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_NA_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_NA_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_H2O2_2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_H2O2_2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_CO_2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_CO_2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EQUATES_ACONC_BENZENE_2002-2011_Barbados.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/EQUATES_ACONC_BENZENE_2002-2011_Barbados.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-02",
      "references": [
        "https://doi.org/10.5194/acp-24-8049-2024",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11534066"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531913/documents/Gaston_2024_EQUATES_Data_Dictionary.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for ASPIRE-Health: Results of Field Studies in California Communities - Health",
      "description": "This dataset contains participant responses to health symptoms, pre-existing health conditions, home characteristics, and perspectives on the use of portable air cleaners. Portions of this dataset are inaccessible because: The meta-data is included in ScienceHub. The individual-level data contain personally identifiable information. They can be accessed through the following means: The individual-level data can be accessed by contacting the corresponding author, Dr. Ann Chelminski. Format: Individual-level data will not be posted publicly due to containing personally identifiable information. Posted data are meta-data from the manuscript. \n\nThis dataset is associated with the following publication:\nTurner, M., P. Prathibha, A. Holder, A. Rappold, B. Hassett-Sipple, B. McCaughey, L. Wei, A. Davis, K. Vinsonhaler, A. Batchelder, J. Carlstad, and A. Chelminski. Self-reported health impacts of do-it-yourself air cleaner use in a smoke-impacted community.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 10(4): e25225, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528924",
      "keyword": [
        "health symptoms",
        "Wood stove smoke",
        "Portable air cleaners",
        "indoor air quality",
        "human health",
        "Wildfire smoke"
      ],
      "contactPoint": {
        "fn": "Mallory Turner",
        "hasEmail": "mailto:turner.mallory@epa.gov"
      },
      "distribution": [
        {
          "title": "Data tables and dictionary_ASPIRE-Health-Hoopa.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528924/Data%20tables%20and%20dictionary_ASPIRE-Health-Hoopa.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-01",
      "references": [
        "https://doi.org/10.1016/j.heliyon.2024.e25225",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10875335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Liver weight changes in rats and mice database",
      "description": "This dataset was prepared from the US Environmental Protection Agency's (EPA) Toxicity Reference Database (ToxRefDB) that contains information for 1,142 chemicals and 5,960 studies. Curations include information regarding the study design, chemical identity, dosing, treatment group parameters, treatment-related (significantly different from control) and critical (adverse) effects for all dose treatment groups, as well as endpoint testing status according to guideline specifications. \nToxRefDB data was examined for all subchronic (SUB) studies with complete curations, which included registrant-submitted toxicity studies from the US EPA’s Office of Pesticide Programs (OPP) and guideline studies sourced from the National Toxicology Program (NTP). \n\nStatistically significant differences between treatment and control group data at p<0.05 within the source documents was extracted and denoted with a “treatment-related” Boolean indicator “true”. Across the studies with absolute liver weights and relative-to-body (RLW) liver weights, the treatment-related mean effect values at the lowest effect (LE) dose levels as well as mean control liver weights were determined for all chemical-study-sex-species-exposure route groupings. The LE-ALW and LE-RLW changes were quantified as effect size differences from control using the following equation:\nEffect_size = 100 x (LE Effect_value – Control Effect_Value) / Control Effect_Value\n\nAny microscopic liver pathology effects occurring at the corresponding LE dose level of weight change were also identified and listed in the dataset. Histopathology terms were presented as they appeared in ToxRefDB without harmonizing different hierarchical levels and aggregating multiple terms used to depict the same lesions.\nThe final dataset that includes chemical stressor information, study source identifiers, study type, sex, species, strain, administration route, administration method, dose level, mg/kg/day value, qualitative and quantitative effect information, effect size from control, and pathology effects if present. The dataset includes data from 389 subchronic studies on 273 chemicals. \n\nThis dataset is associated with the following publication:\nMezencev, R., M. Feshuk, L. Kolaczkowski, G. Peterson, Q. Zhao, S. Watford, and J. Weaver. The association between histopathologic effects and liver weight changes induced in mice and rats by chemical exposures: an analysis of the data from Toxicity Reference Database (ToxRefDB).   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  200(2): 404-413, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529139",
      "keyword": [
        "liver weight",
        "hepatotoxicity",
        "liver histopathology",
        "BMD",
        "BMR",
        "benchmark dose response modeling",
        "Benchmark Response"
      ],
      "contactPoint": {
        "fn": "Roman Mezencev",
        "hasEmail": "mailto:mezencev.roman@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=62c5cfebe4b01d27e3b2d851&page=0",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=62c5cfebe4b01d27e3b2d851&page=0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub_Metadata_Supplemental data_MF.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529139/SciHub_Metadata_Supplemental%20data_MF.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SciHub_Liver_weight_dataset_mice_rats_toxerfdb.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529139/SciHub_Liver_weight_dataset_mice_rats_toxerfdb.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-06-15",
      "references": [
        "https://doi.org/10.1093/toxsci/kfae056"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characteristics of precipitation, streamflow, and sediment transport of the Hangman Creek in the Pacific Northwest USA: implication for agricultural conservation practice implementation",
      "description": "Data collected from various sources as summarized in Table 2 in the paper. Portions of this dataset are inaccessible because: Excel sheets used to produce tables and figures presented in the paper. They can be accessed through the following means: see above links for the data. Format: Excel sheets used to produce tables and figures presented in the paper. \n\nThis dataset is associated with the following publication:\nYuan, Y., and S. Kanyuk. Characteristics of Precipitation, Streamflow, and Sediment Transport of the Hangman Creek in the Pacific Northwest, USA: Implication for Agricultural Conservation Practice Implementation.   Hydrology. MDPI, Basel,  SWITZERLAND,  3, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531817",
      "keyword": [
        "streamflow/precipitation ratio",
        "Sediment Transport",
        "streamflow",
        "high flow season",
        "agricultural conservation practices",
        "flow duration curve",
        "precipitation"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nrcs.usda.gov/resources/data-and-reports/gridded-soil-survey-geographic-gssurgo-database",
          "accessURL": "https://www.nrcs.usda.gov/resources/data-and-reports/gridded-soil-survey-geographic-gssurgo-database",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.mrlc.gov/data?f%5B0%5D=year%3A2021",
          "accessURL": "https://www.mrlc.gov/data?f%5B0%5D=year%3A2021",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ncei.noaa.gov/cdo-web/search?datasetid=GHCND",
          "accessURL": "https://www.ncei.noaa.gov/cdo-web/search?datasetid=GHCND",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.weather.gov/wrh/climate?wfo=otx",
          "accessURL": "https://www.weather.gov/wrh/climate?wfo=otx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.weather.gov/wrh/climate?wfo=otx",
          "accessURL": "https://www.weather.gov/wrh/climate?wfo=otx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ncei.noaa.gov/cdo-web/search?datasetid=GHCND",
          "accessURL": "https://www.ncei.noaa.gov/cdo-web/search?datasetid=GHCND",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.weather.gov/wrh/climate?wfo=otx",
          "accessURL": "https://www.weather.gov/wrh/climate?wfo=otx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.usgs.gov/national-hydrography/access-national-hydrography-products",
          "accessURL": "https://www.usgs.gov/national-hydrography/access-national-hydrography-products",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/inventory?site_no=12424000&agency_cd=USGS",
          "accessURL": "https://waterdata.usgs.gov/nwis/inventory?site_no=12424000&agency_cd=USGS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/inventory?site_no=12424000&agency_cd=USGS",
          "accessURL": "https://waterdata.usgs.gov/nwis/inventory?site_no=12424000&agency_cd=USGS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://waterdata.usgs.gov/nwis/in",
          "accessURL": "https://waterdata.usgs.gov/nwis/in",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Dataset_HCW_ORD_063935.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531817/Dataset_HCW_ORD_063935.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-31",
      "references": [
        "https://doi.org/10.3390/hydrology12010003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biomarkers.dataset",
      "description": "The publicly available data from other published papers is in the published manuscript (DOI provided). \n\nThis dataset is associated with the following publication:\nKopylev, L., M. Dzierlenga, Y. Lin, B. Nachman, E. Radke-Farabaugh, H. Ru, and D. Segal. Which prenatal biomarker is most appropriate for methylmercury dose-response for neurodevelopmental effects?.   RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA,  1-10, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531954",
      "keyword": [
        "cord blood",
        "biomarker",
        "maternal hair",
        "mercury"
      ],
      "contactPoint": {
        "fn": "Leonid Kopylev",
        "hasEmail": "mailto:kopylev.leonid@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1080/10937404.2024.2444650",
          "accessURL": "https://doi.org/10.1080/10937404.2024.2444650",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-22",
      "references": [
        "https://doi.org/10.1080/10937404.2024.2444650"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Post ingestion bioaccessibility of pesticides sorbed to soils and house dusts",
      "description": "post ingestion bioaccessibility data for pesticides. \n\nThis dataset is associated with the following publication:\nStarr, J., E. Valentini, B. Parker, S. Graham, and F. Waldron. In vitro modeling of the post-ingestion mobilization and bioaccessibility of pesticides sorbed to soil and house dust.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 344: 123295, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527763",
      "keyword": [
        "pesticides",
        "soil",
        "ingestion",
        "Bioaccessibility",
        "House dust"
      ],
      "contactPoint": {
        "fn": "James Starr",
        "hasEmail": "mailto:starr.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Pest Bioaccessibility Data Set For clearance 071122.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527763/Pest%20Bioaccessibility%20Data%20Set%20For%20clearance%20071122.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-29",
      "references": [
        "https://doi.org/10.1016/j.envpol.2024.123295"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "UV/Chlorine treatment of microcystin concentration and LC-MS results",
      "description": "Supplemental information for UV-Chlorine treatment manuscript. \n\nThis dataset is associated with the following publication:\nKong , M., E. Passa, T. Sanan, A. Mohammed, A. Forster, P. Justen, A. Delacruz, J. Westrick, K. O'Shea, B. Ren, M. Nadagouda, J. Yadav, X. Duan, S. Richardson, and D. Dionysiou. Guarding drinking water safety against harmful algal blooms: Could UV/Cl2 treatment be the answer?.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(2): 1421-1433, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529849",
      "keyword": [
        "Targeted LC-MS/MS data",
        "microcystins",
        "UV-Chlorine"
      ],
      "contactPoint": {
        "fn": "Toby Sanan",
        "hasEmail": "mailto:sanan.toby@epa.gov"
      },
      "distribution": [
        {
          "title": "LCMS Data for toxin degradation.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529849/LCMS%20Data%20for%20toxin%20degradation.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "UVchlorine MCs_SI Minghao Oct 10 23.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529849/UVchlorine%20MCs_SI%20Minghao%20Oct%2010%2023.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LCMS-Raw-Data-2021-08-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529849/LCMS-Raw-Data-2021-08-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-21",
      "references": [
        "https://doi.org/10.1021/acs.est.4c04255"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Reconstructing population exposures to acrylamide from human monitoring data using a pharmacokinetic framework dataset",
      "description": "Publicly available dataset containing chemical exposure data. \n\nThis dataset is associated with the following publication:\nLin, Y., V. Morozov, A. Kadry, J. Caffrey , and W. Chou. Reconstructing population exposures to acrylamide from human monitoring data using a pharmacokinetic framework.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 331: 138798, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531965",
      "keyword": [
        "Exposure predictions",
        "biomarker",
        "smoke",
        "acrylamide"
      ],
      "contactPoint": {
        "fn": "Yu-Sheng Lin",
        "hasEmail": "mailto:lin.yu-sheng@epa.gov"
      },
      "distribution": [
        {
          "title": "https://wwwn.cdc.gov/nchs/nhanes/",
          "accessURL": "https://wwwn.cdc.gov/nchs/nhanes/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-08-01",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2023.138798"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lake_chlorophyll-a_upstream nutrients_CONUS",
      "description": "Publicly available data used to generate manuscript figures. \n\nThis dataset is associated with the following publication:\nDietrich, M., H. Golden, J. Christensen, C. Lane, and M. Dumelle. Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  1406–1412, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531088",
      "keyword": [
        "Algae",
        "Chlorophyll-a",
        "lakes",
        "nitrogen",
        "phosphorus",
        "streams"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Dietrich_SciHub_NPChla_ES&TLetters_061824.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531088/Dietrich_SciHub_NPChla_ES%26TLetters_061824.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-18",
      "references": [
        "https://doi.org/10.1021/acs.estlett.4c00938"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hospital Wastewater AMR Batch Reactor Study (Feb 2020)",
      "description": "Two sets of triplicate SBRs were operated for ~three months in three-liter glass beakers with an active volume of two liters in a temperature controlled room, as described in Maile-Moskowitz et al.37 The SBRs were operated on a 12-hour cycle with a two-day hydraulic retention time and five-day solids retention time. Each cycle consisted of a 10.78 h aeration period, including a 60-minute feed, followed by 8 minutes of solids wasting (decanting of AS), 53 minutes of solids settling, and a 12-minute effluent decant. During the aeration/react period the SBRs were aerated using Top Fin® Aquarium Air Pumps and mixed using stir plates. SBRs were fed and decanted using three- or four-roller peristaltic Masterflex® EasyLoad pump heads controlled by Masterflex® pump drives (Model 7553-80). Influent feed was obtained from a small, local Virginia WWTP (average flow of 3 million gallons per day), while hospital sewage was obtained from an urban medical centre in Chicago, Illinois. Untreated hospital sewage was collected from manholes over a 24-hour period and shipped to the Virginia Tech lab on ice. Upon arrival, hospital sewage was stored at 4 °C for 56 days prior to commencing the experiment. We were unable to obtain fresh hospital sewage prior to the commencement of the dosing as the experiment occurred in February 2020, just before global COVID-19 stay-at-home orders were emplaced. After reaching steady-state, SBRs were maintained for 17 days post-hospital sewage addition. \n\nThis dataset is associated with the following publication:\nL. Brown, C., A. Maile-Moskowitz, A. J. Lopatkin, K. Xia, L. K. Logan, B. C. Davis, L. Zhang, P. J. Vikesland, and A. Pruden. Author Correction: Selection and horizontal gene transfer underlie microdiversity-level heterogeneity in resistance gene fate during wastewater treatment.   Nature Communications. Nature Portfolio, Berlin,  GERMANY, 15(1): 6166, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531953",
      "keyword": [
        "wastewater treatment",
        "Antimicrobial Resistance AMR",
        "Microbial ecology",
        "metagenomics"
      ],
      "contactPoint": {
        "fn": "Benjamin Davis",
        "hasEmail": "mailto:davis.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-024-49742-8/MediaObjects/41467_2024_49742_MOESM17_ESM.xlsx",
          "accessURL": "https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-024-49742-8/MediaObjects/41467_2024_49742_MOESM17_ESM.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-22",
      "references": [
        "https://doi.org/10.1038/s41467-024-50577-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11263542",
        "https://github.com/clb21565/metagenomics/tree/main/HospitalEffluentProject",
        "https://github.com/clb21565/kairos"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TSCA-ICE uncertainty analysis data",
      "description": "The associated data are measured and ICE predicted acute toxicity for five TSCA-regulated case study compounds used in the uncertainty analysis described in the associated manuscript. \n\nThis dataset is associated with the following publication:\nRaimondo, S., C. Lilavois, S. Nelson, K. Koehrn, K. Fay, K. Eisenreich, E. Nolan, C. Green, and J. Bressette. Evaluation of interspecies correlation estimation models to increase taxonomic diversity while reducing reliance on animal testing for chemicals evaluated under the Toxic Substances Control Act.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 21(1): 184–194, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529964",
      "keyword": [
        "industrial chemicals",
        "Acute Toxicity",
        "interspecies extrapolation",
        "Model Uncertainty Analysis"
      ],
      "contactPoint": {
        "fn": "Sandra Raimondo",
        "hasEmail": "mailto:raimondo.sandy@epa.gov"
      },
      "distribution": [
        {
          "title": "TSCA-ICE_Supplemental Information B_12-28-23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529964/TSCA-ICE_Supplemental%20Information%20B_12-28-23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TSCA-ICE_Supplemental Information A_12-28-23.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529964/TSCA-ICE_Supplemental%20Information%20A_12-28-23.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-28",
      "references": [
        "https://doi.org/10.1093/inteam/vjae006"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Perfluoroalkyl Chemical Adsorption by Granular Activated Carbon: Assessment of Particle Size Impact on Equilibrium Parameters and Associated Rapid Small-Scale Column Test Scaling Assumptions Data Set",
      "description": "Data set associated with the manuscript Perfluoroalkyl Chemical Adsorption by Granular Activated Carbon: Assessment of Particle Size Impact on Equilibrium Parameters and Associated Rapid Small-Scale Column Test Scaling Assumptions. \n\nThis dataset is associated with the following publication:\nAbulikemu, G., J. Pressman, G. Sorial, T. Sanan, L. Haupert, J. Burkhardt, S. Smith, E. Kleiner, E. Stebel, B. Gray, C. Gastaldo, E. Hughes, S. Pedigo, and D. Wahman. Perfluoroalkyl chemical adsorption by granular activated carbon: Assessment of particle size impact on equilibrium parameters and associated rapid small-scale column test scaling assumptions.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 271: 122977, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531709",
      "keyword": [
        "adsorption",
        "isotherm",
        "PFAS",
        "RSSCT"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Perfluoroalkyl Chemical Adsorption by Granular Activated Carbon (V1).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531709/Perfluoroalkyl%20Chemical%20Adsorption%20by%20Granular%20Activated%20Carbon%20%28V1%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-26",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.122977"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for figures included in Investigation of U.S. landfill GHG reporting program methane emission models",
      "description": "Data regarding landfill methane emissions for the manuscript \"Investigation of US landfill GHG reporting program methane emission models\". \n\nThis dataset is associated with the following publication:\nStark, B., K. Tian, and M. Krause. Investigation of U.S. landfill GHG reporting program methane emission models.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 186: 86-93, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529424",
      "keyword": [
        "modeling",
        "Greenhouse gas",
        "Methane",
        "Landfill",
        "Municipal Solid Waste"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Scihub 2024_Investigation of US landfill GHG models.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529424/Scihub%202024_Investigation%20of%20US%20landfill%20GHG%20models.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-16",
      "references": [
        "https://doi.org/10.1016/j.wasman.2024.05.037"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EAF Slag ",
      "description": "The Excel® spreadsheets below are submitted in support of data published in the manuscript,  \n\nYu, S., Garrabrants, A.C., DeLapp, R.C., Hubner, T., Thorneloe, S.A., and Kosson, D.S., From leaching data to release estimates: Screening and scenario assessments of electric arc furnace (EAF) slag under unencapsulated use. Journal of Hazardous Materials 479, 135522, 2024. \n\nThe following spreadsheets document the final preparation of data for publication in manuscript figures and supplemental materials. \n\nLXS-Pueblo EAF Slag_Screening (1-Dec-2023) \n\nLXS-Pueblo EAF Slag_Scenario (2-Dec-2023) (update 6-Mar-2024) \n\nLXS-Pueblo EAF Slag_Scenario Wet-Dry (2-Dec-2023) \n\nLXS-Pueblo EAF Slag_Depth (2-Dec-2023). \n\nThis dataset is associated with the following publication:\nYu, S., A.C. Garrabrants, R.C. DeLapp, T. Hubner, S.A. Thorneloe, and D.S. Kosson. From Leaching Data to Release Estimates: Screening and Scenario Assessments of Electric Arc Furnace (EAF) Slag Under Unencapsulated Use.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 479: 135522, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531970",
      "keyword": [
        "EAF Slag",
        "beneficial use",
        "aggregate",
        "chromium"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "OneDrive_1_1-31-2025.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531970/OneDrive_1_1-31-2025.zip",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-31",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2024.135522"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531970/documents/1-s2.0-S0304389424021010-main.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "EAF Slag Characterization",
      "description": "The Excel® spreadsheets below are submitted in support of data published in the manuscript, \nYu, S., Garrabrants, A.C., DeLapp, R.C., Hubner, T., Thorneloe, S.A., and Kosson, D.S., Evaluation of testing approaches for constituent leaching from electric arc furnace (EAF) slags. Journal of Environmental Management 373, 123892, 2025.\nThe following spreadsheets document the final preparation of data for publication in manuscript figures and supplemental materials.\n•\tLXS-ANCCap_Pueblo_EAF Titration_Final\n•\tLXS-GM_Pueblo_Single Batch (12-Oct-2023) FINAL for MANUSCRIPT\n•\tLXS-GM_Pueblo_EAF Slag Fraction Analysis (27-Sp-2023). \n\nThis dataset is associated with the following publication:\nYu, S., A.C. Garrabrants, R.C. DeLapp, T. Hubner, S.A. Thorneloe-Howard, and D.S. Kosson. Evaluation and Testing Approaches for Constituent Leaching from Electric Arc Furnace (EAF) Slags.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 373: 123892, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531971",
      "keyword": [
        "EAF Slag",
        "EAF",
        "chromium",
        "Beneficial Use of Materials"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "OneDrive_1_1-31-2025 (1).zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531971/OneDrive_1_1-31-2025%20%281%29.zip",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-31",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2024.123892"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531971/documents/1-s2.0-S0301479724038799-main.pdf",
        "mediaType": "application/pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "ERB case studies meta data",
      "description": "The data are qualitative data consisting of notes recorded during meetings, workshops, and other interactions with case study participants. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The data cannot be accessed by anyone outside of the research team because of the potential to identify human participants. Format: The data are qualitative data contained in Microsoft Word documents. \n\nThis dataset is associated with the following publication:\nEisenhauer, E., K. Maxwell, B. Kiessling, S. Henson, M. Matsler, R. Nee, M. Shacklette, M. Fry, and S. Julius. Inclusive engagement for equitable resilience: community case study insights.   Environmental Research Communications. IOP Publishing, BRISTOL,  UK, 6: 125012, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531796",
      "keyword": [
        "Environmental Justice",
        "Vulnerability",
        "equity",
        "resilience",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Emily Eisenhauer",
        "hasEmail": "mailto:eisenhauer.emily@epa.gov"
      },
      "distribution": [],
      "modified": "2024-10-25",
      "references": [
        "https://doi.org/10.1088/2515-7620/ad9242"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Dataset for Science 2024 Publication",
      "description": "The database represents emissions rates quantified by Carbon Mapper across landfills observed and reported in Cusworth et al. (2024). Carbon Mapper leverages hyperspectral imaging spectroscopy to detect, locate, and quantify localized methane emissions. The database contains three sheets: (1) Unique plume detections: this dataset includes individual emission detections (latitude, longitude, emission rate, emission rate uncertainty, datetime) as well as the corresponding landfill’s GHGRP ID. (2) Daily-Average Landfill Emission: daily averaged landfill emissions derived by spatial aggregation and averaging of individual landfill emissions following the methods described in Cusworth et al. (2021). (3) Time-averaged Source List: Average emission rates across all dates of observation. \n\nThis dataset is associated with the following publication:\nCusworth, D.H., R.M. Duren, A.K. Ayasse, R. Jiorle, K. Howell, A. Aubrey, R.O. Green, M.L. Eastwood, J.W. Chapman, A.K. Thorpe, J. Heckler, G.P. Asner, M.L. Smith, E. Thoma, M. Krause, D. Heins, and S. Thorneloe-Howard. Quantifying methane emissions from United States landfills.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 383(6690): 1499-1504, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531980",
      "keyword": [
        "Landfill Air emissions",
        "Untreated Landfill Gas",
        "Landfill Methane"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "science.adi7735_data_s1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531980/science.adi7735_data_s1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-22",
      "references": [
        "https://doi.org/10.1126/science.adi7735"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://www.science.org/doi/epdf/10.1126/science.adi7735"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Impact of living conditions on cardiovascular function in atherosclerosis-prone mice and smoke exposure",
      "description": "Raw data for all figures and tables in manuscript for study analyzing the impact of living conditions on cardiovascular function in ApoE -/- mice. \n\nThis dataset is associated with the following publication:\nFiamingo, M., S. Toler, K. Lee, W. Oshiro, Q. Krantz, P. Evansky, D. Davies, M. Gilmour, A. Farraj, and M. Hazari. Depleted housing elicits cardiopulmonary dysfunction after a single flaming eucalyptus wildfire smoke exposure in a sex-specific manner in ApoE knockout mice..   Cardiovascular Toxicology. Humana Press Incorporated, Totowa, NJ, USA, 24: 852-869, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530584",
      "keyword": [
        "Housing",
        "Biomass smoke",
        "ApoE-/- Transgenics Mouse",
        "cardiovascular disease"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub CardioTox 2.22.24.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530584/SciHub%20CardioTox%202.22.24.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-04",
      "references": [
        "https://doi.org/10.1007/s12012-024-09897-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11042425"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets posted as supplementary files for \"Improved thermal preferences and a stressor index derived from modeled stream temperatures and regional taxonomic standards for freshwater macroinvertebrates of the Pacific Northwest, USA\"",
      "description": "There are 20 supplemental data files associated with this article. These files describe the process of assigning macroinvertebrate taxa to thermal preference categories and analyses associated with them. There are spreadsheets of macroinvertebrate taxa used in the publication and the resulting calculations for thermal preferences, including taxonomic relationships and variability associated with the taxonomic relationships (parent-child). Also included are the R scripts for calculating the Macroinvertebrate Thermal Tolerance Index (MTTI) and thermal preference metrics using the macroinvertebrate data. \nAdditional macroinvertebrate data included in the files are: \n•\tScatterplot of total number of individuals vs total number of taxa\n•\tFull list of BMI data sources\n•\tMap of BMI sampling sites, color-coded by data source\n•\tList of taxa that were in the tolerance analysis dataset but occurred in fewer than 30 samples \nFor the plots showing probability of occurrence of a taxa, there is also a guide to assist with interpretation of the plots. \nAdditional information for the MTTI includes:\n●\tCalibration (CAL) and Validation (VAL) datasets\n○\tSummary Statistics\n○\tBoxplots of natural and disturbance variables\n○\tPCA biplots\n●\tModeling techniques\n○\tDeshrinking and tolerance downweighting \n●\tComparisons between field temperature and modeled temperatures (MWMT, MTTI)\n●\tCorrelations with other stressors\nThermal metric plots for each MWMT class are also included. \n\nThis dataset is associated with the following publication:\nHubler, S., J. Stamp, S.P. Sullivan, M. Fernandez, C. Larson, K. Macneale, R.W. Wisseman, R. Plotnikoff, and B. Bierwagen. Improved thermal preferences and a stressor index derived from modeled stream temperatures and regional taxonomic standards for freshwater macroinvertebrates of the Pacific Northwest, USA.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 160: 111869, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531960",
      "keyword": [
        "thermal preference modeling",
        "stressor index",
        "freshwater macroinvertebrates",
        "Pacific Northwest",
        "streams",
        "Aquatic Ecosystem",
        "taxonomy"
      ],
      "contactPoint": {
        "fn": "Britta Bierwagen",
        "hasEmail": "mailto:bierwagen.britta@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S1470160X24003261#s0140",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S1470160X24003261#s0140",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2024-03-11",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2024.111869",
        "https://www.sciencedirect.com/science/article/pii/S1470160X24003261#s0140"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
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    },
    {
      "title": "Chemical Composition of Secondary Organic Aerosol Formed from the Oxidation of Semivolatile Isoprene Epoxydiol Isomerization Products",
      "description": "Indoor chamber and filter extraction experimental details, E-AIM II model results, RPLC(−) and HILIC/(−)ESI-HR-QTOF instrument conditions and oxidation product spectra, SOA yield comparison at varying acidity, HR-TOF-CIMS instrument conditions and oxidation product spectra, proposed MS fragmentation of selected oxidation tracers, SOA yield calculations. \n\nThis dataset is associated with the following publication:\nFruenheim, M., J. Offenberg, Z. Zhang, J.D. Surratt, and A. Gold. Chemical Composition of Secondary Organic Aerosol Formed from the Oxidation of Semivolatile Isoprene Epoxydiol Isomerization Products.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(51): 22571-22582, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531922",
      "keyword": [
        "SOA",
        "biogenic hydrocarbon",
        "isoprene",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "John Offenberg",
        "hasEmail": "mailto:offenberg.john@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/10.1021/acs.est.4c06850?goto=supporting-info&articleRef=test",
          "accessURL": "https://pubs.acs.org/doi/10.1021/acs.est.4c06850?goto=supporting-info&articleRef=test",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-12",
      "references": [
        "https://doi.org/10.1021/acs.est.4c06850"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone exposure observed and predicted biomass at Aspen FACE",
      "description": "Data for the tables and figures for Herrick et al. 2024. \n\nThis dataset is associated with the following publication:\nHerrick, J.D., S.D. Kaylor, and J.B. Dubois. Predicting the Effects of Ozone on Long-Term Growth of Aspen Trees Using Response Functions Developed From Seedlings Grown in Field Chambers.   GLOBAL CHANGE BIOLOGY. Blackwell Publishing, Malden, MA, USA, 30(12): e70003, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531776",
      "keyword": [
        "Aspen FACE OTC"
      ],
      "contactPoint": {
        "fn": "Jeffrey Herrick",
        "hasEmail": "mailto:herrick.jeffrey@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/Data%20Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "predicted relative yield loss at Aspen FACE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/predicted%20relative%20yield%20loss%20at%20Aspen%20FACE.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Observed biomass at Aspen FACE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/Observed%20biomass%20at%20Aspen%20FACE.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "O3 exposure at Aspen FACE.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/O3%20exposure%20at%20Aspen%20FACE.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Individual tree FACE biomass.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/Individual%20tree%20FACE%20biomass.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "12 hr O3 at FACE 1996 to 2009.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531776/12%20hr%20O3%20at%20FACE%201996%20to%202009.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-01",
      "references": [
        "https://doi.org/10.1111/gcb.70003"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Upper Animas Rare Earth Element and Water Isotope Dataset - USGS data release",
      "description": "The study results include concentrations of Rare Earth Elements and stable isotope compositions of water from an acid mine drainage-affected watershed in southwest Colorado, the Upper Animas River watershed. This dataset is not publicly accessible because: The data will be released by another Federal Agency, USGS. It can be accessed through the following means: The data has been released to the U.S. Geological Survey's ScienceBase Catalog and may be accessed by the following link:\r\nhttps://doi.org/10.5066/P9OOHY1Q. Format: The data will be released through the U.S. Geological Survey's ScienceBase Catalog [https://www.sciencebase.gov/catalog/]\r\nThe primary USGS author, Conor Newman, is developing the data release using the USGS procedures for documenting scientific data. \n\nThis dataset is associated with the following publication:\nNewman, C., R. Cowie, R. Wilkin, and A. Navarre-Sitchler. Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes.   Geochemistry: Exploration, Environment, Analysis. Geological Society of London, London,  UK, 25(1): 2024-23, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531286",
      "keyword": [
        "Mine workings",
        "acid mine drainage",
        "stable isotopes",
        "Rare Earth Elements"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-13",
      "references": [
        "https://doi.org/10.1144/geochem2024-023"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets to evaluate the effects of reducing the standard count size on multimetric diatom indices of ecological condition for U.S. rivers and streams ",
      "description": "The National Rivers and Stream Assessment 2008-2009 and 2013-2014 diatom datasets and associated site information. \n\nThis dataset is associated with the following publication:\nRiato, L., J. Stoddard, A. Herlihy, and K. Blocksom. Reduced count size can provide a robust and more efficient diatom assessment of environmental conditions.   Journal of Applied Ecology. Blackwell Publishing, Malden, MA, USA, 61(9): 2308-2320, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529542",
      "keyword": [
        "Diatom valve counting",
        "Traits",
        "Reduction in counted valves",
        "Genus Taxonomy",
        "National Rivers and Streams Assessment",
        "Methodology Optimization",
        "Ecological assessment"
      ],
      "contactPoint": {
        "fn": "Luisa Riato",
        "hasEmail": "mailto:riato.luisa@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA_2013_2014_Diatom_Dataset.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529542/NRSA_2013_2014_Diatom_Dataset.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NRSA_2008_2009_Diatom_Dataset.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529542/NRSA_2008_2009_Diatom_Dataset.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Site Info 2008_2014.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529542/Site%20Info%202008_2014.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-11-22",
      "references": [
        "https://doi.org/10.1111/1365-2664.14715"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
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          }
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      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Modeling the Air Quality Impacts of Future Energy Scenarios\", by Shankar et al.",
      "description": "This file describes the dataset used in the following manuscript: \nShankar, U., B. N. Murphy, M. A. Weber, Y. Ou, S. J. Smith, D. H. Loughlin, C. G. Nolte, \"Modeling the Air Quality Impacts of Future Energy Scenarios\".\nThis manuscript describes the linkage between a human-Earth system model and a chemical transport model to simulate the air quality impacts of potential large-scale changes in the U.S. energy system.\n\nThis dataset includes emissions outputs from simulations conducted using the Global Change Analysis Model (GCAM) with state-level representation of the U.S. energy system (GCAM-USA). It also includes a script that is used to generate an emissions control file for the Community Multiscale Air Quality (CMAQ) model, along with the CMAQ source code used in this study. \n\nFinally, the dataset includes Excel workbooks that contain data for some of the figures used in the manuscript, as well as postprocessed CMAQ outputs and scripts used to create other figures that appear in the manuscript.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531983",
      "keyword": [
        "air quality",
        "human-Earth system models",
        "emissions projection",
        "Greenhouse Gas Mitigation",
        "co-benefits"
      ],
      "contactPoint": {
        "fn": "Christopher Nolte",
        "hasEmail": "mailto:nolte.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Shankar_et_al.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531983/Shankar_et_al.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ONWS-phage-surrogate-data-set_20230328",
      "description": "The excel sheet contains the ddPCR data used to estimate phage concentrations in samples. The sequence data is housed in the SRA database at NCBI. \n\nThis dataset is associated with the following publication:\nNagarkar, M., S. Keely, E. Wheaton, V. Rao, M. Jahne, J. Garland, and N. Brinkman. Evaluating endogenous viral targets as potential treatment monitoring surrogates for onsite non-potable water reuse.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, (4): 971-981, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531988",
      "keyword": [
        "Onsite Non-Potable Water Reuse",
        "Bacteriophage"
      ],
      "contactPoint": {
        "fn": "Nichole Brinkman",
        "hasEmail": "mailto:brinkman.nichole@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/sra/PRJNA1061117",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra/PRJNA1061117",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Phage-surrogate-ddPCR-data-log_20230328.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531988/Phage-surrogate-ddPCR-data-log_20230328.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-05",
      "references": [
        "https://doi.org/10.1039/d3ew00714f",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11770558"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data associated with Wallis et al. 2024",
      "description": "Metadata supporting Wallis et al. 2024 in Environment International. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data from the National Children's Study must be accessed through the National Institutes of Health, National Institute of Child Health and Human Development's Data and Specimen Hub (DASH) at https://dash.nichd.nih.gov/. Format: Participant demographic, lifestyle, residence, occupational, and other types of data from questionnaire and observational survey instruments are in .csv and .xlsx files. PFAS measurements in serum and house dust in .csv files. \n\nThis dataset is associated with the following publication:\nWallis, D., K. Miller, N. Deluca, K. Thomas, C. Fuller, J. McCord, E. Cohen-Hubal, and J. Minucci. Understanding prenatal household exposures to per- and polyfluorylalkyl substances using paired Biological and dust measurements with sociodemographic and housing variables.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 194(December): 109157, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531919",
      "keyword": [
        "House dust",
        "Polyfluorinated Alkyl Substances (PFAS)",
        "Prenatal Exposure",
        "serum",
        "Sociodemographic Characteristics"
      ],
      "contactPoint": {
        "fn": "Jeffrey Minucci",
        "hasEmail": "mailto:minucci.jeffrey@epa.gov"
      },
      "distribution": [],
      "modified": "2022-05-16",
      "references": [
        "https://doi.org/10.1016/j.envint.2024.109157"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data for decontamination of soil using steam",
      "description": "The data are for the four phases of soil column testing, and include the colony forming unit (CFU) results and the steam and temperature data.  Refer to the data dictionary for more details. \n\nThis dataset is associated with the following publication:\nWood, J., T. Chamberlain, A. Touati, D. Aslett, A. Abdel-Hady, M. Monge, W. Calfee, A. Mikelonis, E. Silvestri, S. Serre, and C. Hintz. Decontamination of soil contaminated at the surface with Bacillus anthracis (anthrax) surrogate spores using steam vapor.   ENVIRONMENTAL ENGINEERING SCIENCE. Mary Ann Liebert, Inc., Larchmont, NY, USA, 42(2): 92-102, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531853",
      "keyword": [
        "Bacillus anthracis",
        "Decontamination",
        "Steam",
        "soil",
        "anthrax",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "2023-06-28 unsealed clay steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-28%20unsealed%20clay%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-28 unsealed clay CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-28%20unsealed%20clay%20CFU%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-21 unsealed sandy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-21%20unsealed%20sandy%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-21 unsealed sandy CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-21%20unsealed%20sandy%20CFU%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-13 unsealed loamy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-13%20unsealed%20loamy%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-13 unsealed loamy CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-06-13%20unsealed%20loamy%20CFU%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-01-03 soil pouches on top Sandy CFU data JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2024-01-03%20soil%20pouches%20on%20top%20Sandy%20CFU%20data%20JPW.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-12-05 soil pouches on top Clay steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-12-05%20soil%20pouches%20on%20top%20Clay%20steam%20data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-12-05 soil pouches on top clay CFU replate data JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-12-05%20soil%20pouches%20on%20top%20clay%20CFU%20replate%20data%20JPW.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-11-28 soil pouches on top Loamy steam data.xlsx",
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        {
          "title": "2023-11-28 soil pouches on top Loamy CFU data JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-11-28%20soil%20pouches%20on%20top%20Loamy%20CFU%20data%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-01-03 soil pouches on top Sandy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-01-03%20soil%20pouches%20on%20top%20Sandy%20steam%20data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-29_Sealed Clay CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-29_Sealed%20Clay%20CFU%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-29 sealed clay steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-29%20sealed%20clay%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-24 Sealed Sandy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-24%20Sealed%20Sandy%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-24 Sealed sandy CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-24%20Sealed%20sandy%20CFU%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-22 sealed loamy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-22%20sealed%20loamy%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-08-22 Sealed Loamy CFU data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-22%20Sealed%20Loamy%20CFU%20data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "2023-08-07 Moistened Clay soil steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-08-07%20Moistened%20Clay%20soil%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-07-31 Moistened Loamy steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-07-31%20Moistened%20Loamy%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-07-21 Moistened Sandy soil steam data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/2023-07-21%20Moistened%20Sandy%20soil%20steam%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-12",
      "references": [
        "https://doi.org/10.1089/ees.2024.0195"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531853/documents/data%20dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Jampel PM2.5 Infant Mortality Environmental Epidemiology Manuscript Data Sets",
      "description": "We conducted an unmatched case-control study of 5,992 infant mortality cases and 60,000 randomly selected controls from a North Carolina Birth Cohort (2003-2015). PM2.5 during critical exposure periods (trimesters, pregnancy, first month alive) were estimated using residential address and a national spatiotemporal model at census block centroid.  Here we describe data sources for outcome (i.e., infant mortality) and exposure (i.e., PM2.5) data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. \r\n\r\nAir pollutant concentrations for PM2.5 from the national spatiotemporal model are available upon request and may require a processing fee. Air monitoring data questions can be directed to Ms. Amanda Gassett at the University of Washington. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. \r\n\r\nA national spatiotemporal model provided data on predicted PM2.5 concentrations over critical prenatal and postnatal time periods. The prediction model used data from research and regulatory monitors as well as a large (>200) array of geographic covariates to create fine scale spatial and temporal predictions. The model has a cross-validated R2 of 0.89 for PM2.5. Concentrations were predicted for every 2 weeks in the study period at the centroid of each 2010 census block in NC. \n\nThis dataset is associated with the following publication:\nJampel, S., J. Kaufman, D. Enquobahrie, A. Wilkie, A. Gassett, and T. Luben. Association between fine particulate matter (PM2.5) and infant mortality in a North Carolina Birth Cohort (2003-2015).   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 8(6): e350, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531991",
      "keyword": [
        "Infant Mortality",
        "Children's Environmental Health",
        "NAAQS",
        "air pollution",
        "particulate matter"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-07",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000350",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512634"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "PFAS correlates of dietary exposure",
      "description": "counts of articles that include data on dietary exposures to PFAS through foods or food contact materials/products. This dataset is not publicly accessible because: Data are not EPA. It can be accessed through the following means: go to the literature and look up the articles. Format: Data are associated with a literature review.  Data are counts of articles that met inclusion criteria. \n\nThis dataset is associated with the following publication:\nHolder, C., E. Cohen-Hubal, J. Luh, M. Lee, L. Melnyk, and K. Thomas. Systematic evidence mapping of potential correlates of exposure for per- and poly-fluoroalkyl substances (PFAS) based on measured occurrence in biomatrices and surveys of dietary habits and product use.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 259(June): 114384, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532002",
      "keyword": [
        "PFAS",
        "correlates database",
        "Product Use",
        "dietary intake",
        "Human Exposure",
        "Evidence mapping"
      ],
      "contactPoint": {
        "fn": "Elaine Cohen Hubal",
        "hasEmail": "mailto:cohenhubal.elaine@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-11",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2024.114384"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Per- and polyfluoroalkyl substances (PFAS) in paired tap water and house dust from United States homes",
      "description": "Per- and polyfluoroalkyl substances (PFAS) in paired tap water and house dust from United States homes.\nSummary statistics for PFAS measured in paired tap water and house dust samples from the subset of AHHS II homes. Statistics were calculated using PFAS with >50% detection frequencies in each medium. GM: geometric mean; GSD: geometric standard deviation.  Associated methodological parameters. \n\nThis dataset is associated with the following publication:\nDeluca, N., J. Boettger, K. Miller, C. Fuller, J. Minucci, P. Ashley, D. Cox, G. Dewalt, W. Friedman, E. Pinzer, K. Bradham, J. McCord, and E. Cohen-Hubal. Per- and polyfluoroalkyl substances (PFAS) in paired house dust and tap water from United States homes.   Indoor Environments. Elsevier B.V., Amsterdam,  NETHERLANDS, 1(3): 100033, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532000",
      "keyword": [
        "PFAS",
        "Dust",
        "tap water",
        "residential"
      ],
      "contactPoint": {
        "fn": "Nicole Deluca",
        "hasEmail": "mailto:deluca.nikki@epa.gov"
      },
      "distribution": [
        {
          "title": "https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fars.els-cdn.com%2Fcontent%2Fimage%2F1-s2.0-S2950362024000304-mmc1.docx&wdOrigin=BROWSELINK",
          "accessURL": "https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fars.els-cdn.com%2Fcontent%2Fimage%2F1-s2.0-S2950362024000304-mmc1.docx&wdOrigin=BROWSELINK",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-19",
      "references": [
        "https://doi.org/10.1016/j.indenv.2024.100033"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Mauna Loa Observatory Daily Gaseous Elemental Mercury (GEM) data 2002-2010 ",
      "description": "EPA/NOAA Mauna Loa Observatory Daily Gaseous Elemental Mercury (GEM) data 2002-2010. \n\nThis dataset is associated with the following publication:\nFeinberg, A., N. Selin, C. Braban, K. Chang, D. Cust�dio, D. Jaffe, K. Kyll�nen, M. Landis, S. Leeson, K. Molepo, M. Murovec, M. Nerentorp Mastromonaco, K. Aspmo Pfaffhuber, J. R�diger, G. Sheu, and V. St.Louis. Increasing anthropogenic emissions inconsistent with declining atmospheric mercury concentrations.   PNAS  (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA,  0, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530116",
      "keyword": [
        "chemistry-transport mode",
        "box model",
        "anthropogenic emissions",
        "mercury trends",
        "minamata convention"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "MLO_GEM_2002-2010_daily.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530116/MLO_GEM_2002-2010_daily.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-02-13",
      "references": [
        "https://doi.org/10.1073/pnas.2401950121",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11494326"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Employment status and exposure to DBPs",
      "description": "We used data from CDC's National Birth Defect Prevention Study, the largest case-control study of birth defects ever conducted.  Data were collected for cases and controls via a computer-assisted telephone information, and included information related to demographics, pre-existing health conditions, medication use, employment/occupation, personal hobbies, diet, and water use. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. \n\nThis dataset is associated with the following publication:\nZaganjor, I., A. Keil, T. Luben, T. Desrosiers, L. Engel, J. Reefhuis, A. Michalski, P. Langlois, A. Olshan, and N.B.D.P.S. [Corporate Author]. Is maternal employment site a source of exposure misclassification in studies of environmental exposures and birth outcomes? A simulation-based bias analysis of haloacetic acids in tap water and hypospadias..   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 6(2): e207, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526341",
      "keyword": [
        "Exposure Misclassification",
        "Bias Analysis",
        "Birth Defects",
        "Disinfection by-products",
        "Haloacetic Acids",
        "hypospadias"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2022-02-18",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000207",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005252"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Code for EPA HAWC ecological evidence extraction form",
      "description": "This is code for the ecological evidence extraction form for EPA HAWC. \n\nThis dataset is associated with the following publication:\nRidley, C.E., C. Hansen, P. Byrley, T. Greaver, S.D. Kaylor, R.B. Rice, K.A. Schofield, and A. Shapiro. Web-based ecological evidence entry form enables consistent, accessible extraction and visualization for synthesis applications.   Conservation Science and Practice. John Wiley & Sons, Inc., Hoboken, NJ, USA, 7(2): e13278, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529814",
      "keyword": [
        "assessment",
        "web-based content management",
        "systematic review",
        "synthesis",
        "Evidence",
        "Environmental Management",
        "ecology",
        "data visualization",
        "controlled vocabulary",
        "conservation"
      ],
      "contactPoint": {
        "fn": "Caroline Ridley",
        "hasEmail": "mailto:ridley.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/usepa/hawc",
          "accessURL": "https://github.com/usepa/hawc",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-07",
      "references": [
        "https://doi.org/10.1111/csp2.13278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset Long term performance of six air sensors across the United States",
      "description": "From July 2019 until January 2021, six models of air sensors were operated at seven air quality monitoring sites across the U.S. in Phoenix, Arizona, Denver, Colorado, Wilmington, Delaware, Decatur, Georgia, Research Triangle Park, North Carolina, Oklahoma City, Oklahoma, and Milwaukee, Wisconsin. Sensors testing included the Aeroqual AQY, Clarity Node, Clarity Node-S, Applied Particle Technology Maxima, PurpleAir PA-II-SD, Sensit RAPM, and Aerodyne Arisense. This dataset includes the processed data from the paper \"Long term performance of six PM2.5 sensors across the United States\" loaded here in sciencehub and also the raw datasets from the sensors loaded into Zenodo. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531918",
      "keyword": [
        "air sensor",
        "evaluation",
        "Data",
        "pm2.5",
        "quality assurance",
        "Air monitoring",
        "air quality",
        "ozone (O3)",
        "NO2"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://10.5281/zenodo.14852865",
          "accessURL": "https://10.5281/zenodo.14852865",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureProcessedData.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531918/FigureProcessedData.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coal-fired power plants and preterm birth in North Carolina (2003-2015)",
      "description": "This provides an archive of the US EPA AMPD data used for exposure assignment as well as code written for analyses related to the peer-reviewed published manuscript:\nWilkie, Adrien A; Richardson, David B; Luben, Thomas J; Serre, Marc L; Woods, Courtney G; Daniels, Julie L. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents. Environmental Epidemiology 7(2):p e241, April 2023. | DOI: 10.1097/EE9.0000000000000241 \n\nExposure data is publicly available from the United States (US) Environmental Protection Agency (EPA) Air Markets Program Data (AMPD), which has been updated to the Clean Air Markets Program Data (CAMPD) available at https://campd.epa.gov/. \n\nBirths data has identifiable information so is not available unless formally requested from Birth Defects Monitoring Program within the State Center for Health Statistics of the North Carolina Department of Health and Human Services. Portions of this dataset are inaccessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. They can be accessed through the following means: These data can be requested from the North Carolina State Center for Vital Statistics, Birth Defects Monitoring Program by experienced researchers with an approved IRB.\r\n\r\n\r\n\r\nInput data for unit and facility level data for coal-fired power plants in North Carolina from 2002-2015 were downloaded from US EPA AMPD (see attached data files). After data files were downloaded, this publicly available database/dashboard was updated to US EPA CAMPD (Clean Air Markets Program Data), which is also publicly available for download at https://campd.epa.gov/. Format: We received birth certificate records linked with birth defects monitoring program data from the NC State Center for Vital Statistics for all births in North Carolina between 2003 and 2015.  These data include identifying information, including birth date and residential address, which was used to assign exposure to polluted sites. \n\nThis dataset is associated with the following publication:\nWilkie, A., D. Richardson, T. Luben, M. Serre, C. Woods, and J. Daniels. Sulfur dioxide reduction at coal-fired power plants in North Carolina and associations with preterm birth among surrounding residents.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 7(2): e241, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528745",
      "keyword": [
        "preterm birth",
        "pregnancy",
        "air quality",
        "sulfur dioxide"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "unit_emission_10-24-2019_142302276.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/unit_emission_10-24-2019_142302276.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "unit_datadefinition_10-24-2019_142613550.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/unit_datadefinition_10-24-2019_142613550.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "unit_data_caveats_10-24-2019_142303648.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/unit_data_caveats_10-24-2019_142303648.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "facility_emission_10-24-2019_195339664.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/facility_emission_10-24-2019_195339664.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "facility_datadefinition_10-24-2019_195344995.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/facility_datadefinition_10-24-2019_195344995.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "facility_data_caveats_10-24-2019_195339912.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528745/facility_data_caveats_10-24-2019_195339912.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-12-28",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000241",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097570",
        "https://pasteur.epa.gov/uploads/10.23719/1528745/documents/A2_SAS_code_analysis.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fema/CRSI Risk Index",
      "description": "Comparison of FEMA and CRSI Risk assessment indices and how to convert from one to the other. Portions of this dataset are inaccessible because: Part of FEMA and not EPA. They can be accessed through the following means: https://www.fema.gov/flood-maps/products-tools/national-risk-index. Format: FEMA RISK DATABASE. \n\nThis dataset is associated with the following publications:\nWilliams, A., K. Summers, and L. Harwell. Using Existing Indicators to Bridge the Exposure Data Gap: A Novel Natural Hazard Assessment.   Sustainability. MDPI, Basel,  SWITZERLAND, 16(23): 10778, (2024).\nSummers, J., A. Lamper, C. Mcmillion, and L. Harwell. Observed Changes in the Frequency, Intensity, and Spatial Patterns of Nine Natural Hazards in the United States from 2000 to 2019.   Sustainability. MDPI, Basel,  SWITZERLAND, 14(7): 4158, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531998",
      "keyword": [
        "Risk Natural Hazards Communities FEMA CRSI"
      ],
      "contactPoint": {
        "fn": "James Summers",
        "hasEmail": "mailto:summers.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.fema.gov/flood-maps/products-tools/national-risk-index",
          "accessURL": "https://www.fema.gov/flood-maps/products-tools/national-risk-index",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NationalRiskIndex_Metadata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531998/NationalRiskIndex_Metadata.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-01",
      "references": [
        "https://doi.org/10.3390/su162310778",
        "https://doi.org/10.3390/su14074158",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461684"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code for \"Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States\"",
      "description": "Analytical dataset and code used to develop the tables and figures in the manuscript entitled \"Wildland fire smoke adds to disproportionate PM2.5 exposure in the United States\". \n\nThis dataset is associated with the following publication:\nRice, R.B., J.D. Sacks, K.R. Baker, S.D. LeDuc, and J.J. West. Wildland Fire Smoke Adds to Disproportionate PM2.5 Exposure in the United States.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(2): 215-225, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531732",
      "keyword": [
        "climate change",
        "Environmental Justice",
        "Wildland Fire",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Richard Rice",
        "hasEmail": "mailto:rice.byron@epa.gov"
      },
      "distribution": [
        {
          "title": "Sciencehub data and code - Rice et al. 2025.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531732/Sciencehub%20data%20and%20code%20-%20Rice%20et%20al.%202025.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-16",
      "references": [
        "https://doi.org/10.1021/acsestair.4c00173"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Transcriptomic data (GSE199233) and CEBs data (from Blake et al. 2020) for maternal and fetal endpoints following gestational exposure to PFOA or GenX",
      "description": "Maternal and fetal liver gene expression and pathway changes following exposure to perfluorooctanoic acid (PFOA) or hexafluoropropylene oxide-dimer acid (HFPO-DA) during gestation. \n\nThis dataset is associated with the following publication:\nBlake, B., C. Miller, H. Nguyen, V. Chappell, T. Phan, D. Phadke, M. Balik-Meisner, D. Mav, R. Shah, and S. Fenton. Transcriptional pathways linked to fetal and maternal hepatic dysfunction caused by gestational exposure to perfluorooctanoic acid (PFOA) or hexafluoropropylene oxide-dimer acid (HFPO-DA or GenX) in CD-1 mice.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 248: 114314, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531698",
      "keyword": [
        "Children's Environmental Health",
        "Drinking water contaminants",
        "Adverse Outcome Pathways (AOPs)",
        "children's health",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Bevin Blake",
        "hasEmail": "mailto:blake.bevin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE199233",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE199233",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://cebs.niehs.nih.gov/cebs/paper/14946",
          "accessURL": "https://cebs.niehs.nih.gov/cebs/paper/14946",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2022-11-17",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2022.114314",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742811"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SO2 and PTB in NC Birth Cohort",
      "description": "We assembled a retrospective, administrative cohort of singleton births in North Carolina from 2003-2015. We used US EPA EQUATES data to assign long-term SO2 gestational exposures to eligible births for the entire pregnancy and by trimester. We used multivariable generalized linear regression to estimate risk differences (RD (95%CI)) per 1-ppb increase in SO2, adjusted for gestational parent education, Medicaid status, marital status, and season of conception. Multi-pollutant models were additionally adjusted for other criteria air co-pollutants  (O3, PM2.5, NO2). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. \r\n\r\nData from EPA's CMAQ EQUATES model are publicly available. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. \r\n\r\nEPA's publicly available CMAQ EQUATES model provided data on predicted SO2 concentrations over critical windows of gestation.  The model predicts daily 1-hour maximum SO2 concentrations for 12 km x 12 km grid cells across the study area. \n\nThis dataset is associated with the following publication:\nWilkie, A., T. Luben, K. Rappazzo, K. Foley, C. Woods, M. Serre, D. Richardson, and J. Daniels. Long-term ambient sulfur dioxide exposure during gestation and preterm birth in North Carolina, 2003-2015.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 333(September 15): 120669, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532013",
      "keyword": [
        "air pollution",
        "Sulfur  Dioxide",
        "Children's Environmental Health",
        "Coal Fired Power Plant",
        "preterm birth"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2024-06-24",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120669",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360850"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "NBDPS Comparison of THM Exposure Metrics",
      "description": "We used exposure data collected for a previous study of DBPs to evaluate how different sources of information impact trihalomethane (THM) exposure estimates, Specifically, we compared gestational exposure estimates to THMs based on water utility monitoring data alone, statistical imputation of daily concentrations to incorporate temporal variability, and personal water consumption and use (bathing and showering). We used Spearman correlation coefficients and ranked kappa statistics to compare exposure classifications. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. \n\nThis dataset is associated with the following publication:\nLuben, T., R. Shaffer, E. Kenyon, W. Nembhard, K. Weber, J. Nuckols, and J. Wright. Comparison of trihalomethane exposure assessment metrics in epidemiologic analyses of reproductive and developmental outcomes.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 34: 115-125, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532015",
      "keyword": [
        "Disinfection by-products",
        "Developmental Outcomes",
        "Exposure Misclassification",
        "Exposure Assessment"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2023-05-12",
      "references": [
        "https://doi.org/10.1038/s41370-023-00559-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Diatom DNA sequence data",
      "description": "The raw data consisted of demultiplexed fastq files\npairs (R1.fastq and R2.fastq) per sample accessible on the NCBI Sequences\nRead Archive (SRA) under the BioProject accession numbers PRJNA1187555\nfor experiments E1 and E3 and PRJNA1187576 for E2 and E4. \n\nThis dataset is associated with the following publication:\nValentin, V., S. Rivera, E. Acs, S. Almeida, K. Andree, L. Apothéloz-Perret-Gentil, B. Bailet, A. Baričević, K. Beentjes, J. Bettig, A. Bouchez, C. Camilla, C. Chardon, M. Duleba, T. Elersek, C. Genthon, M. Jablonska, L. Jacas, M. Kahlert, M. Kelly, J. Macher, F. Mauri, M. Moletta-Denat, A. Mortágua, J. Pawlowski, J. Pérez-Burillo, M. Pfannkuchen, E. Pilgrim, P. Panayiota, F. Rimet, K. Stanic, K. Tapolczai, S. Theroux, R. Trobajo, B. Van der Hoorn, M. Vasquez, M. Vidal, D. Wanless, J. Warren, J. Zimmermann, and B. Paix. Proficiency testing and cross-laboratory method comparison to support standardisation of diatom DNA metabarcoding for freshwater biomonitoring.   Metabarcoding and Metagenomics. Pensoft Publishers, Sofia,  BULGARIA,  e133264, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531982",
      "keyword": [
        "DNA extraction",
        "Standardization",
        "DNA metabarcoding",
        "Freshwater quality assessment",
        "Intercalibration",
        "Cross-laboratory experiment",
        "diatoms",
        "PCR"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1187555",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1187555",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1187576",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1187576",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-01",
      "references": [
        "https://doi.org/10.3897/mbmg.9.133264"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NBDPS DBPS and Congenital Heart Defects",
      "description": "Utilizing the National Birth Defects Prevention Study, we linked geocoded residential addresses of mothers whose offspring were delivered in 2000-2005 to public water supply (PWS) measurement data for DBPs in eight states. Self-reported water consumption habits and filtration methods at home and work were used to estimate ingestion of DBPs during the prenatal period. We estimated adjusted odds ratios (aORs) and 95% confidence intervals using logistic regression controlling for maternal age, education, body mass index, race/ethnicity, and study site to examine associations between CHDs and estimated DBP concentrations in household tap water, and between CHDs and estimated levels of maternal ingestion of DBPs. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. \n\nThis dataset is associated with the following publication:\nMichalski, A., T. Luben, I. Zaganjor, A. Rhoads, P. Romitti, K. Conway, P. Langlois, M. Feldkamp, W. Nembhard, J. Reefhuis, M. Yazdy, A. Lin, T. Desrosiers, A. Hoyt, M. Browne, and T.N.B.D.P.S. [Corporate Author]. Maternal Exposure to Tap Water Disinfection By-Products and Risk of Selected Congenital Heart Defects.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 116(September): e2391, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532016",
      "keyword": [
        "ingestion",
        "Congenital Heart Defects",
        "Disinfection By Products",
        "pregnancy",
        "Children's Environmental Health",
        "tap water"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2024-02-08",
      "references": [
        "https://doi.org/10.1002/bdr2.2391",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440226"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Disaster Waste and Debris Decision-making Phase I Focus Group Interview Dataset",
      "description": "Transcript of focus groups and interviews about disaster waste and debris management. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Contact CESER@epa.gov. Format: The dataset consists of transcripts from focus groups and interviews. \n\nThis dataset is associated with the following publication:\nMatsler, A., and K. Maxwell. Disaster waste and debris clean-up decisions of government actors in the United States: social process and socio-material systems.   Environmental Hazards. Taylor & Francis Group, London,  UK, 24(1): 1-22, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528458",
      "keyword": [
        "social science",
        "Disaster",
        "wide-area decontamination",
        "Waste Management"
      ],
      "contactPoint": {
        "fn": "Keely Maxwell",
        "hasEmail": "mailto:maxwell.keely@epa.gov"
      },
      "distribution": [],
      "modified": "2023-01-11",
      "references": [
        "https://doi.org/10.1080/17477891.2024.2336997"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Lithium removal from drinking water",
      "description": "Lithium and co-occurring constituents from pilot- and full-scale drinking water treatment plants. \n\nThis dataset is associated with the following publication:\nKeithley, A., P. Jordan, C. Muhlen, M. Pinelli, and D. Lytle. Lithium removal from drinking water.   AWWA Water Science. John Wiley & Sons, Inc., Hoboken, NJ, USA, 7(1): e70016, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531759",
      "keyword": [
        "drinking water",
        "lithium",
        "Drinking water contaminants",
        "treatment"
      ],
      "contactPoint": {
        "fn": "Asher Keithley",
        "hasEmail": "mailto:keithley.asher@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_LiRemoval.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531759/SciHub_LiRemoval.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-01",
      "references": [
        "https://doi.org/10.1002/aws2.70016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "MetaCompare 2.0: Data used for pipeline benchmarking and source code",
      "description": "Dataset includes the SRA accessions of the sequencing data used to benchmark the MetaCompare 2.0 pipeline as well as tables of bacterial taxa and antibiotic resistance genes used to perform the risk assessments. A link to the GitHub page where the pipeline source code can be found is also provided. \n\nThis dataset is associated with the following publication:\nRumi, M., M. Oh, B. Davis, C. Brown, J. Adeesh, P. Vikesland, A. Pruden, and L. Zhang. MetaCompare 2.0: Differential ranking of ecological and human health resistome risks.   FEMS Microbiology Ecology. Oxford University Press, OXFORD,  UK, 100(12): fiae155, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532026",
      "keyword": [
        "antibiotic resistance",
        "metagenomics",
        "ecological risk assessment",
        "human health risk assessment"
      ],
      "contactPoint": {
        "fn": "Benjamin Davis",
        "hasEmail": "mailto:davis.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/femsec/100/12/10.1093_femsec_fiae155/3/fiae155_supplemental_files.zip?Expires=1743016817&Signature=x0~cZ002QykwwlxGfIf17nVYDhR2P3UyNhcDYvIIYYqKFFDQgHurR68yvzvW4y1kl28rolNk0XF4RWIxkuU8Gy6JDtRtkVy61UjujA9sBdmIhIYPNhB0SdM-4wmDf~MA28MUyPpQ7SDKHgGllemeQPxHErwmq0GcwmVYb6~EcOhHtCXkVMGSkpu-~Ao-s5IjTOXMpMQtiNL~BHm8f8r9UL6pArY2LECseCVbYxbpLUZkA4A71NTZedgpbARGmRXAdSq~HisFmwgECTq6u8DqrFMgciN3meLIX8IWK8FdAcgPMyRF2GysWaYbMCvh9RtID9~fdkH6F2l~kDID5pVglQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA",
          "accessURL": "https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/femsec/100/12/10.1093_femsec_fiae155/3/fiae155_supplemental_files.zip?Expires=1743016817&Signature=x0~cZ002QykwwlxGfIf17nVYDhR2P3UyNhcDYvIIYYqKFFDQgHurR68yvzvW4y1kl28rolNk0XF4RWIxkuU8Gy6JDtRtkVy61UjujA9sBdmIhIYPNhB0SdM-4wmDf~MA28MUyPpQ7SDKHgGllemeQPxHErwmq0GcwmVYb6~EcOhHtCXkVMGSkpu-~Ao-s5IjTOXMpMQtiNL~BHm8f8r9UL6pArY2LECseCVbYxbpLUZkA4A71NTZedgpbARGmRXAdSq~HisFmwgECTq6u8DqrFMgciN3meLIX8IWK8FdAcgPMyRF2GysWaYbMCvh9RtID9~fdkH6F2l~kDID5pVglQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/mrumi/MetaCompare2.0",
          "accessURL": "https://github.com/mrumi/MetaCompare2.0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-05",
      "references": [
        "https://doi.org/10.1093/femsec/fiae155"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Living near polluted sites and birth outcomes",
      "description": "Input data for polluted sites was downloaded from publicly available facility registries at the following links.  These links contain geocoded locations for polluted sites.\nToxic Release Inventory (TRI) sites: https://www.epa.gov/toxics-release-inventory-tri-program/tri-basic-data-files-calendar-years-1987-present \nSuperfund sites: https://www.epa.gov/enviro/sems-search \nLandfill sites: https://deq.nc.gov/about/divisions/waste-management/solid-waste-section/solid-waste-facility-lists-presentations-and-annual-reports/solid-waste-facility-lists \nAuxiliary data from the Agency for Toxic Substances and Disease Registry (ATSDR) on specific contaminants: \nSubstance Priority List (SPL) (downloaded file for all past lists): https://www.atsdr.cdc.gov/spl/resources/index.html. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: These data can be requested from the North Carolina State Center for Vital Statistics, Birth Defects Monitoring Program by experienced researchers with an approved IRB.\r\n\r\nInput data for polluted sites was downloaded from publicly available facility registries at the following links.  \r\nToxic Release Inventory (TRI) sites: https://www.epa.gov/toxics-release-inventory-tri-program/tri-basic-data-files-calendar-years-1987-present \r\nSuperfund sites: https://www.epa.gov/enviro/sems-search \r\nLandfill sites: https://deq.nc.gov/about/divisions/waste-management/solid-waste-section/solid-waste-facility-lists-presentations-and-annual-reports/solid-waste-facility-lists \r\nAuxiliary data from the Agency for Toxic Substances and Disease Registry (ATSDR) on specific contaminants: \r\nSubstance Priority List (SPL) (downloaded file for all past lists): https://www.atsdr.cdc.gov/spl/resources/index.html. Format: We received birth certificate records linked with birth defects monitoring program data from the NC State Center for Vital Statistics for all births in North Carolina between 2003 and 2015.  These data include identifying information, including birth date and residential address, which was used to assign exposure to polluted sites. \n\nThis dataset is associated with the following publication:\nKeeler, C., T. Luben, N. Forestieri, A. Olshan, and T. Desrosiers. Is residential proximity to polluted sites during pregnancy associated with preterm birth or low birth weight? Results from an integrated exposure database in North Carolina (2003-2015).   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 33: 229-236, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526339",
      "keyword": [
        "Superfund",
        "preterm birth",
        "Low Birth Weight",
        "brownfields"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2022-03-10",
      "references": [
        "https://doi.org/10.1038/s41370-022-00475-0",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008762"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "NBDPS DBPS and Neural Tube Defects",
      "description": "Utilizing the National Birth Defects Prevention Study, we linked geocoded residential addresses of mothers whose offspring were delivered in 2000-2005 to public water supply (PWS) measurement data for DBPs in eight states. Self-reported water consumption habits and filtration methods at home and work were used to estimate ingestion of DBPs during the prenatal period. We estimated adjusted odds ratios (aORs) and 95% confidence intervals using logistic regression controlling for maternal age, education, body mass index, race/ethnicity, and study site to examine associations between CHDs and estimated DBP concentrations in household tap water, and between CHDs and estimated levels of maternal ingestion of DBPs. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. \n\nThis dataset is associated with the following publication:\nKancherla, V., A. Rhoads, K. Conway, J. Suhl, P. Langlois, A. Hoyt, G. Shaw, S. Pruitt Evans, C. Moore, T. Luben, A. Michalski, M. Feldkamp, P. Romitti, and [.A. The National Birth Defects Prevention Study. Maternal Periconceptional Exposure to Drinking Water Disinfection By-Products and Neural Tube Defects in Offspring.   Birth Defects Research. John Wiley & Sons, Inc., Hoboken, NJ, USA, 116(6): e2370, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532029",
      "keyword": [
        "tap water",
        "Spina Bifida",
        "Birth Defects",
        "Disinfection By Products",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-10",
      "references": [
        "https://doi.org/10.1002/bdr2.2370",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11295258"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "NBDPS Greenspace and Birth Defects",
      "description": "Utilizing the National Birth Defects Prevention Study, we linked geocoded residential addresses of mothers whose offspring were delivered in 2000-2005 and assigned residential greenspace measurements to each residential address in the perinatal period. We estimated adjusted odds ratios (aORs) and 95% confidence intervals using logistic regression controlling for maternal age, education, body mass index, race/ethnicity, and study site to examine associations between birth defects and residential greenspace. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity.  Because NBDPS data contain PII, NBDPS data are not released publicly.  Instead, they are available via a special use agreement.  Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention.  The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS).  These data include birth data and geocoded residential addresses before and during pregnancy. \n\nThis dataset is associated with the following publication:\nWeber, K., W. Yang, S. Carmichael, R.T. Collins, T. Luben, T. Desrosiers, T. Insaf, M. Le, S. Pruitt Evans, P. Romitti, M. Yazdy, W. Nembhard, G. Shaw, and [.A. The National Birth Defects Prevention Study. Assessing associations between residential proximity to greenspace and birth defects in the National Birth Defects Prevention Study.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 216(Part 3): 114760, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532030",
      "keyword": [
        "Children's Environmental Health",
        "Greenspace",
        "Birth Defects",
        "neighborhood",
        "NDVI"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-23",
      "references": [
        "https://doi.org/10.1016/j.envres.2022.114760",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353702"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Effect of Pipe Material and Disinfectant on Active Bacterial Communities in Drinking Water and Biofilms in Finland (S01)",
      "description": "The bacteria sequence data generated in this study is available in the Short Read Archive (SRA) of NCBI (https://www.ncbi.nlm.nih.gov/) under BioProject PRJNA509718. \n\nThis dataset is associated with the following publication:\nSiponen, S., J. Ikonen, V. Gomez-Alvarez, A. Hokajärvi, M. Ruokolainen, B. Jayaprakash, M. Kolehmainen, I.T. Miettinen, T. Pitkänen, and E. Torvinen. Effect of Pipe Material and Disinfectant on Active Bacterial Communities in Drinking Water and Biofilms.   JOURNAL OF APPLIED MICROBIOLOGY. Blackwell Publishing, Malden, MA, USA, 136(1): lxaf004, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531684",
      "keyword": [
        "chloramine",
        "Chlorine",
        "opportunistic pathogens",
        "Premise Plumbing"
      ],
      "contactPoint": {
        "fn": "Vicente Gomez-Alvarez",
        "hasEmail": "mailto:gomez-alvarez.vicente@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA509718",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA509718",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-12-13",
      "references": [
        "https://doi.org/10.1093/jambio/lxaf004"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub file for multi-tissue transcriptomic and metabolomic response to inhaled ozone",
      "description": "These data are published in a manuscript entitled Multi-tissue transcriptomic and serum metabolomic assessment reveals systemic implications of acute ozone-induced stress response in male Wistar Kyoto rats in the journal Metabolomics. This analyses explored systemic transcriptomic and circulating metabolomic effects of inhaled ozone exposure in rats. \n\nThis dataset is associated with the following publication:\nJackson, T., J. House, A. Henriquez, M. Schladweiler, K.M. Jackson, A. Astriab Fisher, S. Snow , D. Alewel, A. Motsinger-Reif, and U. Kodavanti. Multi-tissue transcriptomic and serum metabolomic assessment reveals systemic implications of acute ozone-induced stress response in male Wistar Kyoto rats.   Metabolomics. Plenum Press, New York, NY, USA, 19: 81, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532047",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "genomics",
        "metabolomics",
        "air pollution",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE234042",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE234042",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532047/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-10",
      "references": [
        "https://doi.org/10.1007/s11306-023-02043-5"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tolt Report Animations",
      "description": "Animation for Tolt North Fork Snow, Soil Moisture, Streamflow (mp4) \nAnimation for Tolt River Floodplain Irradiance",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531972",
      "keyword": [
        "VELMA",
        "Puget Sound",
        "Floodplain",
        "forest harvest",
        "stream flow",
        "Penumbra",
        "Salmon",
        "stream temperature",
        "Snowpack",
        "low flow",
        "riparian",
        "Clearcutting"
      ],
      "contactPoint": {
        "fn": "Robert McKane",
        "hasEmail": "mailto:mckane.bob@epa.gov"
      },
      "distribution": [
        {
          "title": "Animations_Tolt North Fork_Snow_SoilMoisture_Streamflow_and_PenumbraFloodplainIrradiance.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531972/Animations_Tolt%20North%20Fork_Snow_SoilMoisture_Streamflow_and_PenumbraFloodplainIrradiance.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HABS-BLOCKS©, a floating, slow-release glucose source, promoted the growth of non-toxic heterotrophic bacteria relative to toxic cyanobacteria in lake water mesocosms ",
      "description": "The datasets include the measurements of glucose levels in the experiment determining the glucose release rates from the HABS BLOCKS and the weekly glucose measurements in each of the mesocosms. In addition, the quantities of the cyanobacteria are given for each week of the experiment and the comparisons of the differences between the treated and control mesocosms. \n\nThis dataset is associated with the following publication:\nVesper, S., D. Linz, I. Struewing, and J. Lu. HABS-BLOCKS©, a floating, slow-release glucose source, promoted the growth of non-toxic heterotrophic bacteria relative to toxic cyanobacteria in lake water mesocosms.   Journal of Water Resource and Protection. Scientific Research Publishing, Inc., Irvine, CA, USA, 16(12): 780, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531700",
      "keyword": [
        "cyanobacteria",
        "glucose",
        "HABS-BLOCKS",
        "microbial community",
        "Proteobacteria",
        "16S amplicon sequencing"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "HABS BLOCKS SciHUB final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531700/HABS%20BLOCKS%20SciHUB%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-22",
      "references": [
        "https://doi.org/10.4236/jwarp.2024.1612044"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasheet-Detroit Lake-OR",
      "description": "The data include the abundance and community compositions characterized using qPCR and metagenomic sequences. \n\nThis dataset is associated with the following publication:\nJeon, Y., I. Struewing, K. Clauson, N. Reetz, N. Fairchild, L. Goeres-Priest, T. Dreher, R. Labiosa, K. Carpenter, B. Rosen, E. Villegas, and J. Lu. Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA).   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 142: 102802, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531687",
      "keyword": [
        "mcy gene",
        "microcystin",
        "qPCR",
        "cyanotoxin producer"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Datasheet-Detroit Lake-OR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531687/Datasheet-Detroit%20Lake-OR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-14",
      "references": [
        "https://doi.org/10.1016/j.hal.2025.102802",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864590"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Anderson Lake Metatranscriptomics-datasets",
      "description": "Water RNA sequences, qPCR and water quality data. \n\nThis dataset is associated with the following publication:\nLinz, D., I. Struewing, N. Sienkiewicz, R. Labiosa, and J. Lu. Metatranscriptomics reveals gene expression dynamics during an anatoxin-a producing Dolichospermum bloom in a western coastal lake.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 372: 144124, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531655",
      "keyword": [
        "Anatoxin producers",
        "anderson lake",
        "dolichospermum",
        "transcriptome"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "AndersonLakeMetatranscriptomics-datasets.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531655/AndersonLakeMetatranscriptomics-datasets.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-07-19",
      "references": [
        "https://doi.org/10.1016/j.chemosphere.2025.144124",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864164"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TWP Field Samples PyGCMS Data Set 20240410",
      "description": "The dataset contains chromatographic retention times, CAS numbers and name of chemical compounds identified/tentatively identified in pyrolysates of tire road wear samples. Also attached are pyrolysis-GC-MS chromatograms or pyrograms obtained for the samples. \n\nThis dataset is associated with the following publication:\nPaterson, K., B. Beckingham, G. Momplaisir, and K. Varner. Adapting Methods for Isolation and Enumeration of Microplastics to Quantify Tire Road Wear Particles with Confirmation by Pyrolysis GC–MS.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA,  1769–1779, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530702",
      "keyword": [
        "heat resistant",
        "chemical digestion",
        "pyrograms",
        "micro-rubber",
        "Pyrolysis-GC-MS",
        "tire wear particles"
      ],
      "contactPoint": {
        "fn": "Georges-Mari Momplaisir",
        "hasEmail": "mailto:momplaisir.georges-marie@epa.gov"
      },
      "distribution": [
        {
          "title": "Momplaisir Data TWP PyGCMS 20240402.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530702/Momplaisir%20Data%20TWP%20PyGCMS%2020240402.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-03",
      "references": [
        "https://doi.org/10.1021/acs.est.4c05092"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Neutral PFAS concentrations in multiple indoor media.  October 2024",
      "description": "Concentrations and detection frequencies (DFs) of neutral PFAS with DF >50%, with the PFAS concentrations in heating and air conditioning (HAC) \nfilters, particle-phase samples, and gas-phase samples expressed in different units for better comparison.\nAssociated study parameters and analytical QC results. \n\nThis dataset is associated with the following publication:\nEichler, C., N. Chang, D. Amparo, E. Cohen-Hubal, J. Surratt, G. Morrison, and B. Turpin. Partitioning of neutral PFAS in homes and release to the outdoor environment: Results from the IPA Campaign.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(42): 18870–18880, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532003",
      "keyword": [
        "PFAS",
        "Indoor Environment",
        "Indoor chemistry",
        "Dust"
      ],
      "contactPoint": {
        "fn": "Elaine Cohen Hubal",
        "hasEmail": "mailto:cohenhubal.elaine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c05286/suppl_file/es4c05286_si_001.pdf",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c05286/suppl_file/es4c05286_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-01",
      "references": [
        "https://doi.org/10.1021/acs.est.4c05286"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Saylor_2025_SciHub",
      "description": "The dataset contains leaf area density, MARGA NH3 air concentrations, and denuder profile data. \n\nThis dataset is associated with the following publication:\nSaylor, R., J. Walker, Z. Wu, X. Chen, D. Schwede, A.C. Oishi, and N. Lichiheb. Dynamic Ammonia Exchange within a Mixed Deciduous Forest Canopy in the Southern Appalachians.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS,  111007, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532059",
      "keyword": [
        "Leaf Area",
        "MARGA",
        "Denuder"
      ],
      "contactPoint": {
        "fn": "Carol Lenox",
        "hasEmail": "mailto:lenox.carol@epa.gov"
      },
      "distribution": [
        {
          "title": "Saylor_2025_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532059/Saylor_2025_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-07",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2024.111007"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LAMARCK DNA methylation age comparison",
      "description": "This dataset contains data from the LAMARCK controlled exposure study including DNA methylation assessments done before and 24 hours after each exposure, subclinical health outcomes measures, exposure details, and demographic information on the individual participants in the study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The dataset can be accessed by contacting Dr. Cavin Ward-Caviness (ward-caviness.cavin@epa.gov). Format: The data is tabular data containing information on DNA methylation assessment, controlled exposure conditions, and demographics of the LAMARCK participants. DNA methylation age has also been calculated based on the DNA methylation assessment data. \n\nThis dataset is associated with the following publication:\nNwanaji-Enwerem, J., A. Bozack, C. Ward-Caviness, D. Diazsanchez, R. Devlin, M. Bind, and A. Cardenas. Bronchial Cell Epigenetic Aging in a Human Experimental Study of Short-term Diesel and Ozone Exposures.   Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 10(1): dvae017, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532044",
      "keyword": [
        "Ozone",
        "Aging",
        "controlled exposure study",
        "accelerated epigenetic aging"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-09-23",
      "references": [
        "https://doi.org/10.1093/eep/dvae017",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482248"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sustainable and Resilient Solid Waste Infrastructure: Onondaga County, New York Case Study",
      "description": "EPA Report on Sustainable and Resilient Solid Waste Infrastructure: Onondaga County, New York Case Study. \n\nThis dataset is associated with the following publication:\nKaplanakman, P., K. Weitz, and S. Thorneloe-Howard. Sustainable and Resilient Solid Waste Infrastructure: Onondaga County, New York Case Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532040",
      "keyword": [
        "LCA",
        "resilience",
        "Waste Management",
        "MSW"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=547610&Lab=CEMM",
          "accessURL": "https://cfpub.epa.gov/si/si_public_file_download.cfm?p_download_id=547610&Lab=CEMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-02-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of simulated smoke condensate generated from combustion of selected military burn pit contents on human airway epithelial cells",
      "description": "Data include assessment of pro-inflammatory cytokines, epithelial integrity, bulk RNA sequencing, and gene expression changes in human airway epithelial cells exposed to burn pit smoke condensates. \n\nThis dataset is associated with the following publication:\nGhosh, A., K. Rogers, S. Gallant, Y.H. Kim, J. Rager, I. Gilmour, S. Randell, and i. Jaspers. Effects of simulated smoke condensate generated from combustion of selected military burn pit contents on human airway epithelial cells.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 21: 41, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532018",
      "keyword": [
        "RNA sequencing",
        "burn pit",
        "human airway epithelial cells",
        "differential expression of genes"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/W2ALPW",
          "accessURL": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/W2ALPW",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/UNC-CEMALB/Effects_of_simulated_military_burn_pit_condensate_exposure_in_human_airway_epithelial_cells-",
          "accessURL": "https://github.com/UNC-CEMALB/Effects_of_simulated_military_burn_pit_condensate_exposure_in_human_airway_epithelial_cells-",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-09",
      "references": [
        "https://doi.org/10.1186/s12989-024-00604-7",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11460082"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Iodine Deficiency Exacerbates Thyroidal and Neurological Effects of Developmental Perchlorate Exposure in the Neonatal and Adult Rat",
      "description": "Thyroid hormones status, brain molecular and structural changes, and neurobehavioral impairments following maternal exposure to perchlorate in a rodent pregnancy model. \n\nThis dataset is associated with the following publication:\nGilbert, M., M. Hawks, K. Bell, W. Oshiro, C. Wood, B. George, R. Thomas, and J. Ford. Iodine Deficiency Exacerbates Thyroidal and Neurological Effects Of Developmental Perchlorate Exposure in the Neonatal and Adult Rat.   Toxics. MDPI, Basel,  SWITZERLAND, 12(12): 842, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532014",
      "keyword": [
        "Drinking water contaminants",
        "in vivo",
        "Behavioral sciences",
        "Adverse Outcome Pathways (AOPs)",
        "children's health",
        "developmental neurotoxicity",
        "human health",
        "Environmental Justice",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Mary Gilbert",
        "hasEmail": "mailto:gilbert.mary@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub M0918 Genes and Behav Toxics 2024 .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532014/Science%20Hub%20M0918%20Genes%20and%20Behav%20Toxics%202024%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-13",
      "references": [
        "https://doi.org/10.3390/toxics12120842",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11679215"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Congenital Heart Defects and Air Pollution; Racial Disparities",
      "description": "We conducted an unmatched case-control study of 1,225,285 infants from a North Carolina Birth Cohort (2003-2015). Ozone and PM2.5 during critical exposure periods (gestational weeks 3-8) were estimated using residential address and a national spatiotemporal model at census tract centroid.  Here we describe data sources for outcome (i.e., congenital heart defects) and exposure (i.e., ozone and PM2.5) data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The North Carolina Birth Cohort data are not publicly available as it contains personal identifiable information. Data may be requested through the NCDHHS, Division of Public Health with proper approvals. \r\n\r\nAir pollutant concentrations for ozone and PM2.5 from the national spatiotemporal model are publicly available from EPA's website. Format: Birth certificate data from the State Center for Health Statistics of the NC Department of Health and Human Services linked with data from the Birth Defects Monitoring Program (NC BDMP) to create a birth cohort of all infants born in NC between 2003-2015. The NC BDMP is an active surveillance system that follows NC births to obtain birth defect diagnoses up to 1 year after the date of birth as well as identify infant deaths during the first year of life and include relevant information from the death certificate. \r\n\r\nA national spatiotemporal model provided data on predicted ozone PM2.5 concentrations over critical prenatal and time periods. The prediction model used data from research and regulatory monitors as well as a large (>200) array of geographic covariates to create fine scale spatial and temporal predictions. The model has a cross-validated R2 of 0.89 for PM2.5. Concentrations were predicted for daily throughout the study period at the centroid of each 2010 census tract in NC. \n\nThis dataset is associated with the following publication:\nArogbokun, O., T. Luben, J. Stingone, L. Engel, C. Martin, and A. Olshan. Racial disparities in maternal exposure to ambient air pollution during pregnancy and prevalence of congenital heart defects.   AMERICAN JOURNAL OF EPIDEMIOLOGY. Johns Hopkins Bloomberg School of Public Health,    194(3): 709-721, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532012",
      "keyword": [
        "air pollution",
        "Birth Defects",
        "Ozone",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2024-06-27",
      "references": [
        "https://doi.org/10.1093/aje/kwae253"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "HAWC export and condensed data for analysis, with glossaries of fields",
      "description": "Two datasets are included: 1) A collection of datasets (“APROBA HAWC Export 8May2024.xlsx” with accompanying glossary) obtained from study reports available on the National Toxicology Program’s (NTP’s) website (https://ntp.niehs.nih.gov/publications/reports/tr?type=Technical%20Report); and 2) the NTP dataset and datasets collected from EPA’s Toxicity Reference Database (https://github.com/USEPA/CompTox-ToxRefDB), condensed for analysis (“data-ap-ow-tr-mdl-accepted.csv” with accompanying glossary). ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531945",
      "keyword": [
        "AROBA",
        "HAWC",
        "ToxRefDB",
        "Uncertainty",
        "dose-response",
        "Benchmark Dose",
        "hdmi"
      ],
      "contactPoint": {
        "fn": "Todd Blessinger",
        "hasEmail": "mailto:blessinger.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Glossary of fields for data-ap-ow-tr-mdl-accepted.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531945/Glossary%20of%20fields%20for%20data-ap-ow-tr-mdl-accepted.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "data-ap-ow-tr-mdl-accepted.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531945/data-ap-ow-tr-mdl-accepted.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "APROBA HAWC Export-Glossary of fields.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531945/APROBA%20HAWC%20Export-Glossary%20of%20fields.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "APROBA HAWC Export 8May2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531945/APROBA%20HAWC%20Export%208May2024.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-01-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Comparison of associations between proximity to major roads and all-cause mortality in individuals with varying severity of cardiovascular disease",
      "description": "The dataset is tabular data containing electronic health records from individuals with heart failure, a prior myocardial infarction, or represent a random sample of the UNC population. The data contains demographic data, dates of diagnoses, comorbidities, all-cause mortality dates, and proximity to major roadways (as a proxy for exposure to traffic related air pollution). This dataset is not publicly accessible because: This data contains PII in the form of electronic health records and cannot be uploaded to ScienceHub. It can be accessed through the following means: The data requires an approved IRB application to be accessed. With an approved IRB application it can be accessed by emailing ward-caviness.cavin@epa.gov. Format: The dataset is tabular data containing electronic health records from individuals with heart failure, a prior myocardial infarction, or represent a random sample of the UNC population. The data contains demographic data, dates of diagnoses, comorbidities, all-cause mortality dates, and proximity to major roadways. \n\nThis dataset is associated with the following publication:\nRaab, H., M. Breen, A. Weaver, J. Moyer, W. Cascio, D. Diazsanchez, and C. Ward-Caviness. Comparison of associations between proximity to major roads and all-cause mortality across a spectrum of cardiovascular diseases.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 8(6): e351, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532050",
      "keyword": [
        "mortality",
        "cardiovascular disease",
        "traffic",
        "environmental sensitivity"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-07",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000351",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548901"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Landfill Workface ES&T Publication",
      "description": "Datasets from Carbon Mapper portal finding \n there is a need for wider availability of site specific\ngeospatial and time-resolved information (e.g., locations\nof gas collection wells and time-series of well downtime) to\nidentify the methodological changes needed to better account\nfor work face emissions in current emissions models. \n\nThis dataset is associated with the following publication:\nScarpelli, T.R., D.H. Cusworth, R.M. Duren, J. Kim, J. Heckler, G.P. Asner, E. Thoma, M.J. Krause, D. Heins, and S. Thorneloe. Investigating major sources of methane emissions at US landfills.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(49): 21545–21556, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532060",
      "keyword": [
        "Landfill"
      ],
      "contactPoint": {
        "fn": "Susan Thorneloe-Howard",
        "hasEmail": "mailto:thorneloe.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "es4c07572_si_002.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532060/es4c07572_si_002.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "es4c07572_si_001.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532060/es4c07572_si_001.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
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      "modified": "2024-11-01",
      "references": [
        "https://doi.org/10.1021/acs.est.4c07572",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11636198"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Ecological condition of mountain lakes in the conterminous US and vulnerability to human development\"",
      "description": "Tabular data associated with the article \"Ecological condition of mountain lakes in the conterminous United States and vulnerability to human development\". All tabular data for lake, catchment, and watershed characteristics and population condition estimates are included. \n\nThis dataset is associated with the following publication:\nHandler, A., M. Weber, M. Dumelle, L. Jansen, J. Carleton, B. Schaeffer, S. Paulsen, T. Barnum, A. Rea, A. Neale, and J. Compton. Ecological condition of mountain lakes in the conterminous United States and vulnerability to human development.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 173: 113402, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532058",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Mountain",
        "condition",
        "framework",
        "lake"
      ],
      "contactPoint": {
        "fn": "Amalia Handler",
        "hasEmail": "mailto:handler.amalia@epa.gov"
      },
      "distribution": [
        {
          "title": "MtnLakes_SampledLakesData.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_SampledLakesData.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_PopEst_PercentTest.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_PopEst_PercentTest.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_PopEst_5PctMtn.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_PopEst_5PctMtn.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_ExampleMtnLakesMetadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_ExampleMtnLakesMetadata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_ExampleMtnLakes.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_ExampleMtnLakes.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/MountainLakes",
          "accessURL": "https://github.com/USEPA/MountainLakes",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_SampledLakesMetadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_SampledLakesMetadata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MtnLakes_PopEst_Metadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532058/MtnLakes_PopEst_Metadata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-06",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2025.113402"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air Sensor Network Analysis Tool: R-Shiny Application Code",
      "description": "This includes the ASNAT R code as of December 2025. Later versions may be updated in the public EPA github or zenodo.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532055",
      "keyword": [
        "air sensor",
        "Open Source",
        "network",
        "analysis",
        "tool"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/14967636",
          "accessURL": "https://zenodo.org/records/14967636",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "2024-12-17_ASNAT_User_Manual.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532055/2024-12-17_ASNAT_User_Manual.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mineralogical controls on PFAS and anthropogenic anions in subsurface soils and aquifers",
      "description": "The following dataset is for the manuscript \"Mineralogical controls on PFAS and anthropogenic anions in subsurface soils and aquifers.\" This file contains data from soil and water samples collected from South Carolina by EPA Region 4 and ORD personnel. Samples were processed and analyzed in Athens, GA EPA/ORD/CEMM/EPD/CPSB, EPA/R4/LSASD, and UGA collaborators.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532057",
      "keyword": [
        "Superfund",
        "PFAS",
        "fate and transport",
        "Agriculture",
        "biosolids"
      ],
      "contactPoint": {
        "fn": "Marina Evich",
        "hasEmail": "mailto:evich.marina@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub Dataset for Evich et al 2025 Nature Communications.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532057/ScienceHub%20Dataset%20for%20Evich%20et%20al%202025%20Nature%20Communications.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Census tract hotspot results of childhood blood lead levels in Ohio",
      "description": "The data provided at the census tract scale are include in Tables 1, 2, 3, and 4 of the manuscript. Supplemental information also contains tables with summary data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: PII associated with individual-level blood Pb data included in this analysis were obtained from Ohio Department of Health through an approved Data Use Agreement. Format: Data were imported into SAS for analysis. \n\nThis dataset is associated with the following publication:\nStanek, L., J. Xue, V. Zartarian Morrison, A. Poulakos, R. Tornero-Velez, E. Snyder, C. Walts, and K. Triantafillou. Identification of high lead exposure locations in Ohio at the census tract scale using a generalizable geospatial hotspot approach.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 34: 718-726, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529367",
      "keyword": [
        "Environmental Justice",
        "housing age"
      ],
      "contactPoint": {
        "fn": "Lindsay Stanek",
        "hasEmail": "mailto:stanek.lindsay@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-04",
      "references": [
        "https://doi.org/10.1038/s41370-024-00666-x",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11303242"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "EHP Glucose Stress Science Hub File",
      "description": "This Science Hub file provides access to raw data published in Environmental Health Perspectives from the publication entitled Stress Drivers of Glucose Dynamics during Ozone Exposure Measured Using Radiotelemetry in Rats. This study used implantable telemetry in rats to assess real-time changes in circulating glucose during and after exposure to ozone and mechanistically linked responses to neuroendocrine stress hormones. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow , T. Jackson, J. House, A. Motsinger-Reif, C. Ward-Caviness, M.C. Schladweiler, D. Aelwel, C. Miller, A. Farraj, M. Hazari, R. Grindstaff, D. Diaz-Sanchez, A. Ghio, and U. Kodavanti. Stress Drivers of Glucose Dynamics during Ozone Exposure Measured Using Radiotelemetry in Rats.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 130(2): 127006, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532046",
      "keyword": [
        "air pollution",
        "Ozone",
        "Nitrogen and Co-pollutants",
        "Stress Response",
        "neuroendocrine hormones",
        "real-time glucose"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub Glucose Real Time Paper_TJ1.10.22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532046/Sci%20Hub%20Glucose%20Real%20Time%20Paper_TJ1.10.22.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-21",
      "references": [
        "https://doi.org/10.1289/ehp11088",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9770052"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub_LiverAdrex",
      "description": "This ScienceHub file shows the physiological data associated with the manuscript Adrenal Stress Hormone Regulation of Hepatic Homeostatic Function After an Acute Ozone Exposure in Wistar-Kyoto Male Rats published in Toxicological Sciences in 2022. These data examine how adrenalectomy modifies the response to ozone, with a specific focus on hepatic response. \n\nThis dataset is associated with the following publication:\nJackson, T., A. Henriquez, S. Snow , M. Schladweiler, A. Astriab Fisher, D. Alewel, J. House, and U. Kodavanti. Adrenal stress hormone regulation of hepatic homeostatic function after an acute ozone exposure in Wistar-Kyoto Male Rats.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  189(1): 73-90, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532045",
      "keyword": [
        "metabolic response",
        "liver",
        "glucocorticoids",
        "air pollution",
        "Stress Response",
        "Ozone",
        "microrna",
        "adrenalectomy",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196818",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196818",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-23",
      "references": [
        "https://doi.org/10.1093/toxsci/kfac065",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609881"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between source-apportioned PM2.5 and 30-day readmissions in heart failure patients",
      "description": "The dataset contains electronic health records from heart failure patients within information on hospital readmissions, residential location, air pollution exposure, area-level sociodemographic information, and individual-level demographics. This dataset is not publicly accessible because: The data contains electronic health records which are protected under federal law and cannot be uploaded to ScienceHub. It can be accessed through the following means: Electronic Health Records are available from UNC TRaCS and require and approved IRB application to access. Source apportioned air pollution data is available from Dr. Armistead Russell. Dr. Cavin Ward-Caviness can be reached for data access questions. Format: The data consists of tabular data from electronic health records. It contains information on readmissions, residential location, air quality exposure, area-level sociodemographic, and individual-level demographics (age, race, sex, vital status). \n\nThis dataset is associated with the following publication:\nWalsh, A., A. Russell, A. Weaver, J. Moyer, L. Wyatt, and C. Ward-Caviness. Associations between source-apportioned PM2.5 and 30-day readmissions in heart failure patients.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 228: 115839, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532071",
      "keyword": [
        "traffic",
        "secondary organic carbon",
        "source-specific air pollution",
        "heart failure",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2023-07-01",
      "references": [
        "https://doi.org/10.1016/j.envres.2023.115839",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273144"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Objectively measured external building quality, Census housing vacancies and age, and serum metals in an adult cohort in Detroit, Michigan",
      "description": "The data is tabular data containing information on residential history, neighborhood built environment, individual-level economic and demographic information, and measured serum metals. This dataset is not publicly accessible because: The data is not owned by the EPA and contains protected information in the form of residential history and thus cannot be uploaded into ScienceHub. It can be accessed through the following means: The data can be accessed by contacting Dr. Chantel Martin. Format: Data is tabular data containing information on residential history, neighborhood built environment, individual-level economic and demographic information, and measured serum metals concentrations. \n\nThis dataset is associated with the following publication:\nLodge, E., C. Martin, R.C. Fry, A. White, C. Ward-Caviness, S. Martin, and A. Aiello. Objectively measured external building quality, Census housing vacancies and age, and serum metals in an adult cohort in Detroit, Michigan.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  177-186, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532075",
      "keyword": [
        "built environment",
        "neighborhood environment",
        "heavy metals",
        "building conditions"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-05-16",
      "references": [
        "https://doi.org/10.1038/s41370-022-00447-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666563"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Coral and water samples for microplastic concentration determination from USVI and Florida",
      "description": "The data provided information on site collection such as GPS coordinates and depth for coral and water samples collected in the field. Data also provides measurement of coral tissue surface area of corals sampled for the field needed to standardize data. \n\nThis dataset is associated with the following publication:\nHankins, C., D. Lasseigne, S. Davis, K. Edwards, and J. Paul. Coral reef attributes associated with microplastic exposure.   CORAL REEFS. Springer, New York, NY, USA, 44(1): 193-207, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529399",
      "keyword": [
        "USVI",
        "coral",
        "microplastics",
        "Biological condition gradient",
        "Caribbean",
        "Atlantic",
        "BCG"
      ],
      "contactPoint": {
        "fn": "Cheryl Hankins",
        "hasEmail": "mailto:hankins.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "TSA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529399/TSA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MP water coral USVI FLK.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529399/MP%20water%20coral%20USVI%20FLK.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-08-07",
      "references": [
        "https://doi.org/10.1007/s00338-024-02596-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Boise_SLM_ambeint_data_2019_08_files",
      "description": "Boise Saint Luke's Meridian site EPA ORD ambient 1-minute CO, CO2, O3, NO, NO2, NOx, and NH3 data from August 1 -30, 2019 utilized in the manuscript is included along with their respective quality assurance flags. Boise Saint Luke's Meridian site Drexel University CIMS instrument formic acid, acetic acid, propionic acid, pentanoic acid, pyruvic acid, and hydrogen cyanide; and EPA ORD CO, CO2, O3, NO, NO2, NOx, and NH3 15-minute integrated data from August 14 - 30, 2019 utilized for Positive Matric Factorization (PMF) model analysis is included. Metadata tabs are provided in both data spreadsheet files describing the instruments used to generate the data and the reporting units. \n\nThis dataset is associated with the following publication:\nLindsay, A., B. Weesner, K. Banecker, L. Feinman, R. Long, M. Landis, and E. Wood. Noncombustion Emissions of Organic Acids at a Site near Boise, Idaho.   ACS ES&T Air. American Chemical Society, Washington, DC, USA,  1507-1705, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531083",
      "keyword": [
        "chemical ionization mass spectroscopy",
        "organic acids",
        "photochemistry",
        "positive matrix factorization",
        "Agricultural emissions"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Science_Hub_PMF_15_min_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531083/Science_Hub_PMF_15_min_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ScienceHub_Boise_ORD_August_2019_1_min_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531083/ScienceHub_Boise_ORD_August_2019_1_min_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-14",
      "references": [
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650544"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "High-Throughput Screening of ToxCast PFAS Chemical Library for Potential Inhibitors of the Human Sodium Iodide Symporter",
      "description": "Abbreviations and data for manuscript Figures in the main text and supplemental. \n\nThis dataset is associated with the following publication:\nStoker, T., J. Want, A. Murr, J. Bailey, and A.R. Buckalew. High-Throughput Screening of ToxCast PFAS Chemical Library for Potential Inhibitors of the Human Sodium Iodide Symporter.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 36(3): 380-389, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532048",
      "keyword": [
        "thyroid",
        "PFAS",
        "HTP"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS-hNIS-tx2c00339_si Science Hub-2023final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532048/PFAS-hNIS-tx2c00339_si%20Science%20Hub-2023final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-22",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.2c00339"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Total F Comparison Data_SciHub",
      "description": "Total F Comparison Data_SciHub. \n\nThis dataset is associated with the following publication:\nDixit  , F., E.H. Antell, K.A. Faber  , C. Zhang  , M.W. Pannu  , M.H. Plumlee  , J. Van Buren, A. Doroshow  , W.C.K. Pomerantz  , W.A. Arnold  , C.P. Higgins  , G.F. Peaslee  , L.A. Cohen  , D.L. Sedlak  , and M. Ibrahim. Closing PFAS analytical gaps: Inter-method evaluation of total organofluorine techniques for AFFF-impacted water.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 5: 100122, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532066",
      "keyword": [
        "analysis",
        "organofluorine",
        "AFFF",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "Total F Comparison Data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532066/Total%20F%20Comparison%20Data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-08-01",
      "references": [
        "https://doi.org/10.1016/j.hazl.2024.100122"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wetland Accretion Rates",
      "description": "Wetland accretion rates in Oregon salt marshes. \n\nThis dataset is associated with the following publication:\nBrand, M., H. Diefenderfer, C. Cornu, M. McKeon, C. Janousek, A. Borde, T. Souza, M. Keough, C. Brown, and S. Bridgham. Can Restoring Tidal Wetlands Reduce Estuarine Nuisance Flooding of Coasts Under Future Sea-Level Rise?.   Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 13(3): e2023EF004149, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532036",
      "keyword": [
        "modeling",
        "flooding",
        "restoration",
        "climate change",
        "wetlands",
        "sea level rise"
      ],
      "contactPoint": {
        "fn": "Cheryl Brown",
        "hasEmail": "mailto:brown.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.25573/serc.25024448",
          "accessURL": "https://doi.org/10.25573/serc.25024448",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-20",
      "references": [
        "https://doi.org/10.1029/2023ef004149"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ model data provided by EPA/ORD researchers for Makar et al. (2025) paper. Model data at monitoring stations, gridded annual deposition fields, and gridded monthly median diurnal deposition diagnostics.",
      "description": "This dataset contains the CMAQ model data provided by EPA/ORD researchers for the Makar et al. (2025) paper. It includes CMAQ model data extracted at monitoring stations, CMAQ gridded annual deposition fields, and CMAQ gridded monthly median diurnal deposition diagnostics. The extracted data at monitoring stations is provided in csv text format while the gridded data is provided in netcdf files. \n\nThis dataset is associated with the following publication:\nMakar, P., P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. Bash, M. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, J. Lynch, K. Momoh, J.L. Perez Camanyo, J. Pleim, Y. Ryu, R. San Jose, D. Schwede, T. Scheuschner, M. Shephard, R. Sokhi, and S. Galmarini. Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(5): 3049–3107, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531989",
      "keyword": [
        "aqmeii4",
        "Ensemble Analysis",
        "model evaluation",
        "CMAQ",
        "Total Deposition",
        "critical load exceedances"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://nadp.slh.wisc.edu/clad-national-critical-load-database/",
          "accessURL": "https://nadp.slh.wisc.edu/clad-national-critical-load-database/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://nadp.slh.wisc.edu/filelib/claddb/DB_Version/Documentation/NCLD_Documentation_v321.pdf",
          "accessURL": "https://nadp.slh.wisc.edu/filelib/claddb/DB_Version/Documentation/NCLD_Documentation_v321.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aqs.epa.gov/aqsweb/airdata/download_files.html",
          "accessURL": "https://aqs.epa.gov/aqsweb/airdata/download_files.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aqs.epa.gov/aqsweb/airdata/hourly_42401_2016.zip",
          "accessURL": "https://aqs.epa.gov/aqsweb/airdata/hourly_42401_2016.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aqs.epa.gov/aqsweb/airdata/daily_SPEC_2016.zip",
          "accessURL": "https://aqs.epa.gov/aqsweb/airdata/daily_SPEC_2016.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_Data_MakarEtAl_Receptors_GriddedAnnual_GriddedMonthly.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531989/CMAQ_Data_MakarEtAl_Receptors_GriddedAnnual_GriddedMonthly.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-07",
      "references": [
        "https://doi.org/10.5194/acp-25-3049-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531989/documents/DataDictionary_ReceptorExtractions_Gridded_Annual_and_Monthly_Median.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ M3DRY 2016 hourly gridded NH3 mixing ratios provided by EPA/ORD researchers for Makar et al. (2025) paper. ",
      "description": "This dataset contains the CMAQ M3Dry hourly gridded NH3 model data provided by EPA/ORD researchers for the Makar et al. (2025) paper. The gridded data is provided in a netcdf file. \n\nThis dataset is associated with the following publication:\nMakar, P., P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. Bash, M. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, J. Lynch, K. Momoh, J.L. Perez Camanyo, J. Pleim, Y. Ryu, R. San Jose, D. Schwede, T. Scheuschner, M. Shephard, R. Sokhi, and S. Galmarini. Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(5): 3049–3107, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531990",
      "keyword": [
        "aqmeii4",
        "Ensemble Analysis",
        "model evaluation",
        "CMAQ",
        "Total Deposition",
        "critical load exceedances"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_M3DRY_Gridded_NH3_2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531990/CMAQ_M3DRY_Gridded_NH3_2016.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-07",
      "references": [
        "https://doi.org/10.5194/acp-25-3049-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531990/documents/DataDictionary_Gridded_Hourly_NH3_CMAQ_M3DRY.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ STAGE 2016 hourly gridded NH3 mixing ratios provided by EPA/ORD researchers for Makar et al. (2025) paper. ",
      "description": "This dataset contains the CMAQ STAGE hourly gridded NH3 model data provided by EPA/ORD researchers for the Makar et al. (2025) paper. The gridded data is provided in a netcdf file. \n\nThis dataset is associated with the following publication:\nMakar, P., P. Cheung, C. Hogrefe, A. Akingunola, U. Alyuz, J. Bash, M. Bell, R. Bellasio, R. Bianconi, T. Butler, H. Cathcart, O. Clifton, A. Hodzic, I. Kioutsioukis, R. Kranenburg, A. Lupascu, J. Lynch, K. Momoh, J.L. Perez Camanyo, J. Pleim, Y. Ryu, R. San Jose, D. Schwede, T. Scheuschner, M. Shephard, R. Sokhi, and S. Galmarini. Critical load exceedances for North America and Europe using an ensemble of models and an investigation of causes of environmental impact estimate variability: an AQMEII4 study.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(5): 3049–3107, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531992",
      "keyword": [
        "aqmeii4",
        "Ensemble Analysis",
        "model evaluation",
        "CMAQ",
        "Total Deposition",
        "critical load exceedances"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_STAGE_Gridded_NH3_2016.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531992/CMAQ_STAGE_Gridded_NH3_2016.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-07",
      "references": [
        "https://doi.org/10.5194/acp-25-3049-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531992/documents/DataDictionary_Gridded_Hourly_NH3_CMAQ_STAGE.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "NIHMS1933008-supplement-Supplementary_data_1 (1)",
      "description": "This ScienceHub entry provides Associated Data (Supplementary data 1) from the published manuscript Comput Toxicol. 2023 Jan 25;25:100261. doi: 10.1016/j.comtox.2023.100261. Further availability of data, as stated in the manuscript, will be made available on request. \n\nThis dataset is associated with the following publication:\nRomano, J., L. Mei, J. Senn, J. Moore, and H. Mortensen. Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 25: 100261, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532078",
      "keyword": [
        "liver cancer",
        "genetic programming",
        "Graph data science",
        "adverse outcome pathway"
      ],
      "contactPoint": {
        "fn": "Holly Mortensen",
        "hasEmail": "mailto:mortensen.holly@epa.gov"
      },
      "distribution": [
        {
          "title": "NIHMS1933008-supplement-Supplementary_data_1 (1).docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532078/NIHMS1933008-supplement-Supplementary_data_1%20%281%29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-01-25",
      "references": [
        "https://doi.org/10.1016/j.comtox.2023.100261",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569310",
        "https://pmc.ncbi.nlm.nih.gov/articles/instance/10569310/bin/NIHMS1933008-supplement-Supplementary_data_1.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA H2O model database for watershed containing Crisfield, MD USA",
      "description": "This file contains a spatial database compatible with the EPA H2O ecosystem services tool for the HUC8 watershed surrounding the town of Crisfield, MD USA. The file is publicly available on the EPA H2O model website and can be opened in the EPA H2O tool with instructions in the associated READ ME file.  The database can be used in the EPA H2O tool to estimate production of ecosystem services for an user-selected Area of Interest within the watershed.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532096",
      "keyword": [
        "Clean Water",
        "flood protection",
        "carbon storage",
        "ecosystem services",
        "decision support",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Richard Fulford",
        "hasEmail": "mailto:fulford.richard@epa.gov"
      },
      "distribution": [
        {
          "title": "Crisfield H2O.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532096/Crisfield%20H2O.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vitro Hepatic Clearance Evaluations of Per- and Polyfluoroalkyl Substances (PFAS) across Multiple Structural Categories",
      "description": "Dataset for \"Crizer, D.M.; Rice, J.R.; Smeltz, M.G.; Lavrich, K.S.; Ravindra, K.; Wambaugh, J.F.; DeVito, M.; Wetmore, B.A. In Vitro Hepatic Clearance Evaluations of Per- and Polyfluoroalkyl Substances (PFAS) across Multiple Structural Categories. Toxics 2024, 12, 672. https://doi.org/10.3390/toxics12090672\". \n\nThis dataset is associated with the following publication:\nCrizer, D., J. Rice, M. Smeltz, K. Lavrich, K. Ravindra, J. Wambaugh, M. Devito, and B. Wetmore. In Vitro Hepatic Clearance Evaluations of Per- and Polyfluoroalkyl Substances (PFAS) Across Multiple Structural Categories.   Toxics. MDPI, Basel,  SWITZERLAND, 12(9): 672, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531795",
      "keyword": [
        "toxicokinetics",
        "biotransformation",
        "in vitro-in vivo",
        "hepatic clearance",
        "New Approach Methods",
        "Metabolism",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "toxics-3180049-supplementary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531795/toxics-3180049-supplementary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-10",
      "references": [
        "https://doi.org/10.3390/toxics12090672",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11435625"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Pervasive nitrous oxide undersaturation in U.S. lakes and reservoirs",
      "description": "Dissolved nitrous oxide concentrations in 984 U.S. lakes. This dataset is not publicly accessible because: It is too large to be uploaded. It can be accessed through the following means: https://github.com/USEPA/DissolvedGasNla. Format: Data files in in .csv and .rda format. Metadata are captured in script (.Rmd) files.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532079",
      "keyword": [
        "nitrate",
        "GRTS",
        "bayesian hierarchical",
        "National Lakes Assessment"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Quality data CP",
      "description": "The Water Quality Dataset contains field and laboratory data that were collected at a field-scale permeable reactive barrier. Environmental samples were collected from groundwater monitoring wells and surface water. \n\nThis dataset is associated with the following publication:\nLawrinenko, M., L. Rhea, K. Forshay, T. Lee, M. White, and R. Wilkin. Long-term field study of nitrate and ammonium remediation using a permeable reactive barrier at a livestock feeding operation.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 380: 124962, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531692",
      "keyword": [
        "denitrification",
        "groundwater",
        "nitrate",
        "Permeable Reactive Barrier",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Water Quality Data CP.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531692/Water%20Quality%20Data%20CP.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-14",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2025.124962"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil fauna data",
      "description": "This is data set of meso-fauna from rain gardens, other stormwater controls and background sites. Data also include loss on ignition, bulk density and penetrometer. \n\nThis dataset is associated with the following publication:\nOconnor, T. Measuring soil fauna in stormwater green infrastructure. In Proceedings, International Low Impact Development Conference 2023, Cincinnati, OH, USA, 08/03/2023 - 08/03/2023. American Society of Civil Engineers (ASCE), New York, NY, USA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529956",
      "keyword": [
        "infiltration",
        "Compaction",
        "Green Infrastructure",
        "Meso-fauna",
        "stormwater"
      ],
      "contactPoint": {
        "fn": "Thomas Oconnor",
        "hasEmail": "mailto:oconnor.thomas@epa.gov"
      },
      "distribution": [
        {
          "title": "MesofaunaJADatasetScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529956/MesofaunaJADatasetScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-21",
      "references": [
        "https://doi.org/10.1061/9780784485002.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Disaster waste decision making qualitative data Phase 1",
      "description": "Interview transcripts. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It is stored on the O drive- PRIV -IRBData - MaxwellDWDM. Format: IRB human subjects research data. \n\nThis dataset is associated with the following publication:\nMatsler, A.M., K. Maxwell, and S. Henson. ‘Discarding well’ after disasters? Examination of disaster waste and debris management in the United States.   Human Organization. Society for Applied Anthropology, Oklahoma City, OK, USA, 4(2): 133-144, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530972",
      "keyword": [
        "social science",
        "Waste Management",
        "Disaster",
        "Debris"
      ],
      "contactPoint": {
        "fn": "Keely Maxwell",
        "hasEmail": "mailto:maxwell.keely@epa.gov"
      },
      "distribution": [],
      "modified": "2024-05-01",
      "references": [
        "https://doi.org/10.1080/00187259.2024.2436549"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "ScienceHub: A model-based assessment of anthropogenic disturbance on lotic macroinvertebrate assemblages ",
      "description": "Benthic macroinvertebrate occurrence data and physiochemical variables were retrieved from the 2018-2019 National Rivers and Stream Assessment (https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys) Benthic macroinvertebrate data can be downloaded as .csv file from NRSA 1819 Benthic Macroinvertebrate Count - Data (CSV) (csv).  Physiochemical data can be downloaded as .csv files from NRSA 1819 Water Chemistry_CHLA - Data (CSV) (csv) and NRSA 1819 Physical Habitat Larger Set of Metrics - Data (CSV) (csv)  Landscape variables were retrieved from https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions  and PRISM Climate Group  https://prism.oregonstate.edu/ ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532104",
      "keyword": [
        "National Rivers and Streams Assessment",
        "richness",
        "Reference Sites",
        "macroinvertebrates",
        "Joint species distribution modeling"
      ],
      "contactPoint": {
        "fn": "Darin Kopp",
        "hasEmail": "mailto:kopp.darin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://prism.oregonstate.edu/",
          "accessURL": "https://prism.oregonstate.edu/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: Spill Treating Agents and Oil Biodegradation, Lech 2025",
      "description": "EPA generated data for Lech et al. publication in Appl Environ Microbiol titled, \"Oil Spill Surface Washing Agents and Chemical Herders Drive Microbial Community Structure Impacting Biodegradation\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532068",
      "keyword": [
        "Spill Treating Agents",
        "NCP Product Schedule",
        "Biodegradation",
        "oil spill"
      ],
      "contactPoint": {
        "fn": "Kiara Lech",
        "hasEmail": "mailto:lech.kiara@epa.gov"
      },
      "distribution": [
        {
          "title": "STA_microbiological_data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532068/STA_microbiological_data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STA_CO2_Hydrocarbons_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532068/STA_CO2_Hydrocarbons_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata Entry for \"A population ecology- quantitative microbial risk assessment (QMRA) model for antibiotic-susceptible and antibiotic-resistant E. coli health risk in recreational water\"",
      "description": "Metadata Entry for \"A population ecology- quantitative microbial risk assessment (QMRA) model for antibiotic-susceptible and antibiotic-resistant E. coli health risk in recreational water\".  Please contact the corresponding author to request the associated data. This dataset is not publicly accessible because: The data is non-EPA generated. It can be accessed through the following means: Please contact the corresponding author Kerry Hamilton at kerry.hamilton@asu.edu to request the data. Format: XLSX and/or CSV files. \n\nThis dataset is associated with the following publication:\nHeida, A., M. Hamilton, J. Gambino, K. Sanderson, M. Schoen, M. Jahne, J. Garland, L. Ramirez, H. Quon, A. Lopatkin, and K. Hamilton. Population Ecology-Quantitative Microbial Risk Assessment (QMRA)Model for Antibiotic-Resistant and Susceptible E. coli in Recreational Water.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(9): 4266-4281, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528989",
      "keyword": [
        "conjugation",
        "QMRA",
        "antibiotic resistance",
        "urinary tract infection",
        "recreational water",
        "sewage"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2023-05-09",
      "references": [
        "https://doi.org/10.1021/acs.est.4c07248"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Designing Cost-Effective Supply Chains for Plastics at the End-of-Life\"",
      "description": "The file \"Read-ME data & P-graph instructions 03-12-24 .docx\" describes the step-by-step process to collect Information (for new models), prepare functional units/operations (for new models), modify existing model, use the P-Graph software, verify process units and flow values, extract supply chain structural solutions, and perform cost assessments to each structural solution.\nThe file \"File_plastics_2901_JP.zip\" contains the P-Graph software file \"File_plastics_2901_JP.pgsx\" to generate all feasible plastic end-of-life supply chain structural solutions for the case study as shown in Figure 6. Figure 7 depicts selected cost-effective pathways derived from the P-graph model with the (a) lowest (647,303 EUR/y) and (b) highest (698,440 EUR/y) annualized costs.\nThe file \"Cost Calculation- Operational Capacity -1801.xlsx\" has all cost parameters, equipment specifications, and location information needed to run the P-Graph plastic end-of-life supply chain case study.\nThe file \"Figure 8 - Datapoints_results_of_File_plastics_2901_JP_pgsx.xlsx\" contains all total recycling costs for the most cost-effective 100 solutions generated by the P-graph model shown in Figure 8.\nFigures 1 and 5 can be obtained from the cited public domain repositories. \n\nThis dataset is associated with the following publication:\nKumar, B., J. Pimentel, N.A. Cano-Londono, G.J. Ruiz-Mercado, C.T. Deak, and H. Cabezas. Designing cost-effective supply chains for plastics at the end-of-life.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 501: 145227, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530482",
      "keyword": [
        "P-graph supply chain design",
        "End-of-life",
        "Sustainable materials management",
        "Recycling economics",
        "Plastic Recycling"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "File_plastics_2901_JP.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530482/File_plastics_2901_JP.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Read-ME data & P-graph instructions 03-12-24 .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530482/Read-ME%20data%20%26%20P-graph%20instructions%2003-12-24%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure 8 - Datapoints_results_of_File_plastics_2901_JP_pgsx.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530482/Figure%208%20-%20Datapoints_results_of_File_plastics_2901_JP_pgsx.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cost Calculation- Operational Capacity -1801.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530482/Cost%20Calculation-%20Operational%20Capacity%20-1801.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-12",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2025.145227",
        "https://pasteur.epa.gov/uploads/10.23719/1530482/documents/CLEAN%20Supplementary%20Material_03122024.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Mobilization of porewater Pb and Zn in response to seasonal flooding within contaminated wetlands v.1.0",
      "description": "The dataset contains the data that was used to generate the tables and figures in the publication of the same name. \n\nThis dataset is associated with the following publication:\nWade, A.M., C.S. Eckley, M. Noerpel, J. Goetz, D. Leptich, K. Prestbo, D. Van de Riet, S. Sluka, R. Wilkin, and T.P. Luxton. Mobilization of porewater Pb and Zn in response to seasonal wetting and drying within contaminated floodplains.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 958: 178053, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531816",
      "keyword": [
        "pore water",
        "sediments",
        "lead",
        "redox",
        "zinc"
      ],
      "contactPoint": {
        "fn": "Todd Luxton",
        "hasEmail": "mailto:luxton.todd@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Bunker Hill 2021 porewater paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531816/Data%20for%20Bunker%20Hill%202021%20porewater%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-06",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.178053"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lung Cell Toxicological Effects of 3D Printer Aerosolized Filament Byproducts",
      "description": "Results from toxicity assays using emission data during 3D prining process. \n\nThis dataset is associated with the following publication:\nBeard, J.M., B.M. Royer, J.M. Hesita, P. Byrley, A. Lewis, J. Hadynski, J. Matheson, S.R. Al-Abed, and C.M. Sayes. Lung cell toxicological effects of 3D printer aerosolized filament byproducts.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY, 32: 5078-5090, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531750",
      "keyword": [
        "particulate matter",
        "ABS",
        "glutathione",
        "cytotoxicity",
        "volatile organic compounds"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata for Manuscript_Lung Tox_Sept 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531750/Metadata%20for%20Manuscript_Lung%20Tox_Sept%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-13",
      "references": [
        "https://doi.org/10.1007/s11356-025-36006-1",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11868196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531750/documents/Metadata%20for%20Manuscript_Lung%20Tox_Sept%202024.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "NCbirth.air.pollution.NDI",
      "description": "Dataset contains information on births in NC during the study period, linked with air pollutant concentrations during pregnancy periods, and index of neighborhood deprivation developed from US census 2000 and 2010 variables. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth data can be requested through the North Carolina Department of Health and Human Services website. Air pollution data is available through the EPA's RSIG gateway. Census data is available through the US Census website. Code will be provided on request to authors. Format: csv, SAS, and R files. \n\nThis dataset is associated with the following publication:\nCowan, K., A. Krajewski, M. Jimenez, T. Luben, L. Messer, and K. Rappazzo. Examining modification of the associations between air pollution and birth outcomes by neighborhood deprivation in a North Carolina birth cohort, 2011-2015.   Frontiers in Reproductive Health. Frontiers, Lausanne,  SWITZERLAND, 6(July): 1304749, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530587",
      "keyword": [
        "particulate matter (PM)",
        "neighborhood deprivation",
        "epidemiology",
        "birth outcomes",
        "Children's Environmental Health",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-28",
      "references": [
        "https://doi.org/10.3389/frph.2024.1304749",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11269152"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Wetland accretion rates",
      "description": "National Aquatic Resource Surveys wetland data and accretion rates and carbon stocks in Oregon tidal marshes. \n\nThis dataset is associated with the following publication:\nJanousek, C., J. Krause, J. Drexler, K. Buffington, K. Poppe, E. Peck, F. Adame, E. Watson, J. Holmquist, S. Bridgham, S. Jones, M. Ward, C. Brown, L. Schile-Beers, M. Costa, H. Diefenderfer, A. Borde, L. Sheehan, J. Rybczyk, C. Prentice, A. Gray, A. Hinojosa-Corona, A.C. Ruiz-Fernandez, J.A. Sanchez-Cabeza, K. Kohfeld, P. Ezcurra, J. Ochoa-Gomez, K. Thorne, M. Pellatt, A. Ricart, A. Nahlik, L. Brophy, R. Ambrose, M. Lutz, C. Cornu, S. Crooks, L. Windham-Myers, M. Hessing-Lewis, F. Short, S. Chastain, T. Williams, T. Douglas, E. Fard, L. Brown, and M. Goman. Blue Carbon Stocks Along the Pacific Coast of North America Are Mainly Driven by Local Rather Than Regional Factors.   Global Biogeochemical Cycles. American Geophysical Union, Washington, DC, USA, 39(3): e2024GB008239, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532035",
      "keyword": [
        "wetlands",
        "tidal swamp",
        "Marsh",
        "carbon",
        "mangrove",
        "Blue Carbon",
        "seagrass",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Cheryl Brown",
        "hasEmail": "mailto:brown.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.25573/serc.25024448",
          "accessURL": "https://doi.org/10.25573/serc.25024448",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-01",
      "references": [
        "https://doi.org/10.1029/2024gb008239"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "US 9-Region TIMES Model (EPAUS9rT_v20.4) and Results Data for the MHDV Electrification Study ",
      "description": "This dataset includes TIMES model files associated with generating scenarios for the paper (https://iopscience.iop.org/article/10.1088/2753-3751/ad958b). The study utilized US EPA's TIMES database version: EPAUS9rT_v20.4. The other file includes underlying data used for figures in the manuscript (FigureData_formatted.xlsx). \n\nThis dataset is associated with the following publication:\nZalesak, A., N. Kittner, D. Loughlin, and P. Kaplanakman. Evaluation of energy, carbon dioxide, and air emission implications of medium- and heavy-duty truck electrification in the United States using EPA’s regional TIMES energy systems model.   Environmental Research: Energy. IOP Publishing, BRISTOL,  UK, 1: 045018, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528539",
      "keyword": [
        "energy",
        "climate change",
        "transportation",
        "air pollution",
        "net zero"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "EPAUS9rT_v20.4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528539/EPAUS9rT_v20.4.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FigureData_formatted.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528539/FigureData_formatted.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-07",
      "references": [
        "https://doi.org/10.1088/2753-3751/ad958b"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set associated with 1,3-butadiene/RH paper",
      "description": "These data set is generated from a wide range of instruments and modeling work. Please contact Dr. Mohammed Jaoui if additional information is needed about this data set. \n\nThis dataset is associated with the following publication:\nJaoui, M., K. Nestorowicz, K. Rudzinski, M. Lewandowski, T. Kleindienst, J. Torres, E. Pulska, W. Danikiewicz, and R. Szmigielski. Atmospheric oxidation of 1,3-butadiene: influence of seed aerosol acidity and relative humidity on SOA composition and the production of air toxic compounds.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY,  1401–1432, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532108",
      "keyword": [
        "air quality",
        "ambient air",
        "Nitrogen and Co-pollutants",
        "hazardous air pollutants (HAPs)"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "STICs_13BD_Figures S13 though S43.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figures%20S13%20though%20S43.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figures S7 though S12.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figures%20S7%20though%20S12.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figures 5, 6, 7, 8, 9, 10, 14, 18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figures%205%2C%206%2C%207%2C%208%2C%209%2C%2010%2C%2014%2C%2018.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%2017.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 16.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%2016.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%2015.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 13.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%2013.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 12.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%2012.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%204.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%203.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "STICs_13BD_Figure 1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532108/STICs_13BD_Figure%201.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-26",
      "references": [
        "https://doi.org/10.5194/acp-25-1401-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "marsh_sediment_placement_raw_data_for_marsh_resiliency_technique",
      "description": "Vegetation, soil, and greenhouse gas data collected between 2019 - 2022 from control and restored southern RI coastal marshes",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532017",
      "keyword": [
        "Salt marsh",
        "restoration",
        "sea level rise"
      ],
      "contactPoint": {
        "fn": "Cathleen Wigand",
        "hasEmail": "mailto:wigand.cathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Perry-Wigand-Sediment Placement Paper _Compiled Raw Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532017/Perry-Wigand-Sediment%20Placement%20Paper%20_Compiled%20Raw%20Data.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Weather conditions and Legionellosis: A nationwide case-crossover study among Medicare recipients ",
      "description": "Data consist of CMS Medicare data files which are restricted access and cannot be released publicly. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: CMS Medicare data are available from:  https://www.cms.gov/data-research/files-for-order/data-disclosures-and-data-use-agreements-duas/limited-data-set-lds with the requirement of a signed Data Use Agreement.  . Weather data are available at https://prism.oregonstate.edu/. Format: The data that support the findings of this study are available from the Centers for Medicare and Medicaid Services (CMS).  Restrictions apply to the availability of these data, which were provided under a Data Use Agreement specific to this study. Data are available from:  https://www.cms.gov/data-research/files-for-order/data-disclosures-and-data-use-agreements-duas/limited-data-set-lds with the requirement of a signed Data Use Agreement. Data do not contain personally identifiable information but contain are classified as Limited Data Set files and their distribution require an agreement and between CMS and the requester and approval by CMS. Weather data are available at https://prism.oregonstate.edu/. Because the data do not contain identifiable private information and were not obtained through interaction or intervention with individuals, the Institutional Review Board for the University of North Carolina and the US Environmental Protection Agency Human Research Protocol Officer determined that use of this data does not constitute human subjects research. \n\nThis dataset is associated with the following publication:\nWade, T., and C. Herbert. Weather conditions and legionellosis: a nationwide case-crossover study among Medicare recipients.   EPIDEMIOLOGY AND INFECTION. Cambridge University Press, Cambridge,  UK, 152: E125, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy; EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531812",
      "keyword": [
        "legionella",
        "Weather",
        "spatial case-crossover"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-30",
      "references": [
        "https://doi.org/10.1017/s0950268824000979",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502464"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Metadata for: Serum metabolite signatures of subclinical cardiovascular disease in individuals from a population-based cohort",
      "description": "Data is tabular data containing metabolite concentrations, cardiovascular disease biomarkers, individual-level demographics, medication usage, and behavioral confounders (physical activity, smoking, alcohol usage). This dataset is not publicly accessible because: This data is not owned by the EPA. It can be accessed through the following means: The data can be accessed by contacting the lead study author - Susanne Rospleszcz. Format: Data is tabular data containing metabolite concentrations, cardiovascular disease biomarkers, individual-level demographics, medication usage, and behavioral confounders (physical activity, smoking, alcohol usage). \n\nThis dataset is associated with the following publication:\nMaushagen, J., N. Addine, C. Schuppert, C. Ward-Caviness, J. Nattenmueller, J. Adamski, A. Peters, F. Bamberg, C. Schlett, R. Wang-Sattler, and S. Rospleszcz. Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort.   Biomarker Research. BioMed Central Ltd, London,  UK, 12(31): s40364-024-00578-w, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532109",
      "keyword": [
        "fatty acids",
        "metabolomics",
        "cardiovascular disease",
        "MRI"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-05",
      "references": [
        "https://doi.org/10.1186/s40364-024-00578-w",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10916302"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Serum lead, mercury, manganese, and copper and DNA methylation age among adults in Detroit, Michigan",
      "description": "Data is tabular data containing information on 'omics (DNA methylation), residential history, serum metals, and individual-level economic and demographic information. This dataset is not publicly accessible because: The data is not owned by the EPA and contains protected information (PII) such as residential history. It can be accessed through the following means: The data can be accessed by contacting Dr. Chantel Martin. Format: Data is tabular data containing information on 'omics (DNA methylation), residential history, serum metals, and individual-level economic and demographic information. \n\nThis dataset is associated with the following publication:\nLodge, E., R. Dhingra, C. Martin, R.C. Fry, A. White, C. Ward-Caviness, A.H. Wani, M. Uddin, D.E. Wildman, S. Galea, and A. Aiello. Serum lead, mercury, manganese, and copper and DNA methylation age among adults in Detroit, Michigan.   Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 8(1): dvac018, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532076",
      "keyword": [
        "Mixtures",
        "Aging",
        "DNA methylation",
        "heavy metals"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-09-21",
      "references": [
        "https://doi.org/10.1093/eep/dvac018",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620967"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata: Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population",
      "description": "The dataset is tabular data on DNA methylation assessment, residential history, individual-level socioeconomic status, and neighborhood built environment for participants in the Detroit Neighborhood Health Study. This dataset is not publicly accessible because: The data was not generated by the EPA, is not owned by the EPA, and contains protected information such as residential history. It can be accessed through the following means: The data can be accessed by contacting the data manager - Dr. Chantel Martin. Format: The data is tabular data containing information on DNA methylation, residential history, disease diagnoses, built environment, and individual-level socioeconomic data. \n\nThis dataset is associated with the following publication:\nWard-Caviness, C., S. Pu, C. Martin, S. Galea, M. Uddin, D. Wildman, K. Koenen, and A. Aiello. Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population.   Clinical Epigenetics. BioMed Central Ltd, London,  UK, 12(44): 1, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532098",
      "keyword": [
        "neighborhood",
        "Green space",
        "DNA methylation",
        "mortality"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2020-03-11",
      "references": [
        "https://doi.org/10.1186/s13148-020-00830-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065313"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Benthic cyanobacterial accumulations and associated cyanotoxins in coastal urban stormwater pond networks -2021, v1",
      "description": "Benthic cyanobacterial accumulations and associated cyanotoxins in coastal urban stormwater pond networks-2021. \n\nThis dataset is associated with the following publication:\nTatters, A., C. Clevenger, W. Strangman, S. Oehrle, R. Kudela, J. Aukamp, and Y. Wan. Benthic cyanobacterial accumulations and associated cyanotoxins in coastal urban stormwater pond networks.   Harmful Algae. Elsevier B.V., Amsterdam,  NETHERLANDS, 144: 102833, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532064",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "cyanobacteria",
        "Urban Watersheds",
        "stormwater",
        "cyanotoxins"
      ],
      "contactPoint": {
        "fn": "Avery Tatters",
        "hasEmail": "mailto:tatters.avery@epa.gov"
      },
      "distribution": [
        {
          "title": "UNCW cyanopeptides.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/UNCW%20cyanopeptides.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tatters_BH_SPATT_ToxinResults.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/Tatters_BH_SPATT_ToxinResults.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Samples EPA ATaters 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/Samples%20EPA%20ATaters%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "P5 21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/P5%2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BHconditionsFall2021.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/BHconditionsFall2021.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA_DEVEREUX_102021_FINAL.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532064/EPA_DEVEREUX_102021_FINAL.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-10",
      "references": [
        "https://doi.org/10.1016/j.hal.2025.102833"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Sources, Quality, and Associated Health Outcomes in Appalachian Virginia: A Risk Characterization Study in Two Counties",
      "description": "data contain PII which cannot be released publicly. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: contact Tim Wade (wade.tim@epa.gov). Format: Data contain sensitive personally identifiable information obtained regarding medical conditions obtained from tribal nation residents. \n\nThis dataset is associated with the following publication:\nWade, T., J. Mistry, S. Augustine, S. Griffin, J. Kobylanski, J. Styles, E. Sams, E. Hudgens, M. Kowalcyk, W. Cochran, H. Ward, and A. Egorov. Salivary antibody responses to waterborne and environmental infections among Two Tribal Nations in the Southwest United States.   JOURNAL OF INFECTIOUS DISEASES. The Journal of Infectious Diseases,    14: 1619 -1632, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532010",
      "keyword": [
        "drinking water",
        "epidemiology",
        "pathogens",
        "biomarkers",
        "saliva",
        "Antibody response"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-01",
      "references": [
        "https://doi.org/10.1007/s44197-024-00315-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652455"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Data for Figures",
      "description": "Data corresponding to figures located in manuscript and appendix files. \n\nThis dataset is associated with the following publication:\nBurdsall, A., M. Magnuson, J. Szabo, and J. Heckman. Assessment of Traditional Biosolids Disposal Methods for Biosolids Contaminated with Bacillus globigii Spores.   Next Research. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(2): 100212, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532022",
      "keyword": [
        "homeland security",
        "Indoor outdoor decontamination",
        "Waste Management",
        "Waste Treatment"
      ],
      "contactPoint": {
        "fn": "Adam Burdsall",
        "hasEmail": "mailto:burdsall.adam@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Appendix Figures_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532022/Data%20for%20Appendix%20Figures_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data for Figures_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532022/Data%20for%20Figures_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-18",
      "references": [
        "https://doi.org/10.1016/j.nexres.2025.100212"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone-Lung-Path",
      "description": "Data related to Dye et al pub on ozone and lung pathology. \n\nThis dataset is associated with the following publication:\nDye, J., H. Nguyen, E. Stewart, M. Schladweiler, and C. Miller. Sex differences in impacts of early gestational and peri-adolescent ozone exposure on lung development in rats: Implications for later life disease in humans.   AMERICAN JOURNAL OF PATHOLOGY. American Association of Pathologist,    194(9): 1636-1663, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532111",
      "keyword": [
        "Ozone",
        "lung",
        "pathology"
      ],
      "contactPoint": {
        "fn": "Janice Dye",
        "hasEmail": "mailto:dye.janice@epa.gov"
      },
      "distribution": [
        {
          "title": "Ozone-Lung-Path_Final-Fig-DataSet_10-15-2025.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532111/Ozone-Lung-Path_Final-Fig-DataSet_10-15-2025.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-26",
      "references": [
        "https://doi.org/10.1016/j.ajpath.2024.05.013"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cultured and molecular measures of fecal indicator microbes in Gulf of Mexico recreational waters",
      "description": "Concentrations of somatic and F+ coliphage, and enterococci measured by culture and qPCR. \n\nThis dataset is associated with the following publication:\nKelleher, J., M. Cyterski, B. McMinn, S. Dean, A. Pemberton, J. Willis, A. Diedrich, S. McWhorter, R. Haugland, O. Shanks, and A. Korajkic. Cultured and molecular measures of fecal indicator microbes in Gulf of Mexico recreational waters.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 966: 178741, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531773",
      "keyword": [
        "qPCR",
        "Gulf of Mexico",
        "coliphage",
        "beach action value",
        "fecal indicators",
        "correlations"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "Gulf Coast Coliphage_02112025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531773/Gulf%20Coast%20Coliphage_02112025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-09",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.178741"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Tribal focused participatory research",
      "description": "There are no data to access.  This manuscript describes tribal participatory research. This dataset is not publicly accessible because: there are no data. It can be accessed through the following means: There are no data. Format: no data included in manuscript. \n\nThis dataset is associated with the following publication:\nStover, M., D. Kusnierz, L. Melnyk, J. Lazorchak, G. Perlman, and J. Lin. Tribal-Focused Participatory Research That Accentuates Environmental Justice and Food Security Burdens Impacting the Penobscot Nation Tribal Community.   ENVIRONMENTAL JUSTICE. Mary Ann Liebert, Inc., New Rochelle, NY, USA,  1-11, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532008",
      "keyword": [
        "tribal-focused participatory research",
        "environmental contaminants",
        "fish consumption",
        "tribal food security",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-11",
      "references": [
        "https://doi.org/10.1089/env.2024.0034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Intra-annual and ecoregional differences in physico-chemical data between blackwater and non-blackwater streams in the Coastal Plains of South Carolina",
      "description": "South Carolina Department of Environmental Services’ (SCDES) Ambient Water Quality Monitoring Program water chemistry data from 1999-2023. \n\nThis dataset is associated with the following publication:\nBlocksom, K., J. Flotemersch, H. Ferriby, B. Rabon, and D. Chestnut. Intra-annual and ecoregional differences in physico-chemical data between blackwater and non-blackwater streams in the coastal plains of South Carolina.   Frontiers in Water. Frontiers, Lausanne,  SWITZERLAND, 7: 1540456, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531818",
      "keyword": [
        "blackwater",
        "nutrients",
        "monthly",
        "seasonal",
        "patterns",
        "water quality",
        "south carolina"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.waterqualitydata.us/",
          "accessURL": "https://www.waterqualitydata.us/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-11-01",
      "references": [
        "https://doi.org/10.3389/frwa.2025.1540456"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Measuring the Effect of Brownfield Remediation and Redevelopment on Housing Price in Fulton County, GA",
      "description": "This dataset provides information on home sale prices, parcel characteristics, distance of parcels to contaminated sites, distance of parcels to parks, block-group etc. Portions of this dataset are inaccessible because: Files are forthcoming. They can be accessed through the following means: Files are forthcoming. Format: Files are forthcoming",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531746",
      "keyword": [
        "housing price",
        "restoration",
        "brownfields",
        "Economy",
        "remediation",
        "brownfield remediation",
        "Revitalization",
        "parcels",
        "home sales"
      ],
      "contactPoint": {
        "fn": "Bayou Demeke",
        "hasEmail": "mailto:demeke.bayou@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_with_descriptions_clean_updated_oct15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531746/Data_with_descriptions_clean_updated_oct15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0024-09-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Rainwater QMRA high-pressure vehicle washing",
      "description": "Data supporting publication figures. \n\nThis dataset is associated with the following publication:\nJohnston, J., and M. Jahne. Quantitative microbial risk assessment of pathogen exposure from rainwater used in high-pressure vehicle washing.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 23(3): 428-438, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532117",
      "keyword": [
        "quantitative microbial risk assessment (QMRA)",
        "rainwater",
        "citizen science",
        "non-potable stormwater use"
      ],
      "contactPoint": {
        "fn": "John Johnston",
        "hasEmail": "mailto:johnston.johnm@epa.gov"
      },
      "distribution": [
        {
          "title": "Rainwater QMRA Dataset Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532117/Rainwater%20QMRA%20Dataset%20Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-13",
      "references": [
        "https://doi.org/10.2166/wh.2025.365"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air Sensor Data Unifier Code",
      "description": "An R-Shiny application has been developed that allows users to import text-based air sensor data, define the format of that data, do basic quality control, and export the data to standard formats. Format information can be saved for re-use to speed up processing of additional sensors of the same type.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532069",
      "keyword": [
        "Data",
        "Quality Control",
        "R",
        "air sensors",
        "format"
      ],
      "contactPoint": {
        "fn": "Karoline Barkjohn",
        "hasEmail": "mailto:barkjohn.karoline@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/14982568",
          "accessURL": "https://zenodo.org/records/14982568",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fairbanks Large Building VI Data Set ",
      "description": "Passive and active VOC measurements were collected weekly for 15 months between December 2020 and April 2022 at the Fairbanks, AZ site. Various indicators and tracers (I&T), including indoor radon, differential pressure, temperature, and other environmental factors, were also collected. Results from this study help clarify the factors that influence temporal trends in VOC concentrations across multiple sampling zones in commercial buildings in a subarctic climate zone and thus inform vapor intrusion sampling strategies. \n\nThis dataset is associated with the following publication:\nZimmerman, J., A. Williams, B. Schumacher, C. Lutes, R. Warrier, B. Cosky, B. Thompson, C. Holton, and K. Bronstein. Impact of Multiple HVAC Systems on Indoor Air VOC and Radon Concentrations from Vapor Intrusion During Seasonal Usage.   ATMOSPHERE. MDPI, Basel,  SWITZERLAND, 16(4): 378, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529842",
      "keyword": [
        "vapor intrusion",
        "Reasonable Maximum Exposure",
        "Passive Sampling",
        "subslab soil gas",
        "volatile organic compounds",
        "indicators and tracers"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "Fairbanks_Large_Buildings_VI_Dataset_2023_12_15.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529842/Fairbanks_Large_Buildings_VI_Dataset_2023_12_15.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-18",
      "references": [
        "https://doi.org/10.3390/atmos16040378"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SciHub Data for Novel Adsorbents Batch Testing",
      "description": "Datasets for adsorption and desorption PFAS experiments run to compare novel adsorbents. Water quality of retentates and scrubber waters are also included. \n\nThis dataset is associated with the following publication:\nButzlaff, A.H., B. Mezgebe, A. Collins, Z. Lin, D. Lassalle-Vega, I.M. Harmody , O. Coronell, F.A. Leibfarth, W.R. Dichtel, M. Nadagouda, and M.  Ateia. Comparative evaluation of PFAS-selective adsorbents in hard-to-treat residual waste streams.   Chemical Engineering Journal. Elsevier BV, AMSTERDAM,  NETHERLANDS, 511: 161983, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531765",
      "keyword": [
        "PFAS",
        "Novel Adsorbents",
        "Retentate",
        "Scrubber water",
        "sorption",
        "Sorbent",
        "wastewater"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "Project Summary_SciHub_ASB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531765/Project%20Summary_SciHub_ASB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Project Summary_QAQC_SciHub_ASB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531765/Project%20Summary_QAQC_SciHub_ASB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-04",
      "references": [
        "https://doi.org/10.1016/j.cej.2025.161983"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Continuous Water Quality Monitoring Dataset from Tillamook Bay, OR; 2017-2023",
      "description": "Tillamook Estuary, OR continuous water quality monitoring dataset: 2017-2023\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532032",
      "keyword": [
        "water quality",
        "monitoring",
        "estuary",
        "national estuary program"
      ],
      "contactPoint": {
        "fn": "Stephen Pacella",
        "hasEmail": "mailto:pacella.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Garibaldi_EPA_Monitoring_2017_2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532032/Garibaldi_EPA_Monitoring_2017_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fenceline VOC measurements using mobile platforms_SDMP.FY25.74.0",
      "description": "This dataset contains final data for the manuscript titled \"Comparing short-term volatile organic compound measurements in fenceline environments using multiple mobile air monitoring platforms and methods\", Coughlin et al. This dataset and manuscript describes a two-week field campaign where a team cross-compared air monitoring instrumentation in a mobile monitoring format. The scripts included in the data repository process raw data, generate visualizations, and compare measurements from various instruments including a PTR-ToF-MS, UV-DOAS, GC-MS, and SIFT-MS. Different sampling resolutions are handled within the scripts using rolling averages The Methods and Materials within the article describes the monitoring instrumentation that was used and the sampling methodology.  \nA description of the variables in each column of the data files is contained in the file \"metadata.xlsx\"\n                                                                                                                                                                \nAuto GC Clean_final.xlsx: Cleaned Automated GC data for analysis from the MDNR site.\nCanister-PTRMS Comparison_final.xlsx: Data for comparing Canister and PTR-ToF-MS measurements.                    \nCanister_final.xlsx: Summary data from canister measurements analyzed by an offline GC-MS.       \nDUVAS_BEN_reprocessed_final.xlsx: Reprocessed UV-DOAS data for comparison.                                   \nLocation_summary.xlsx: Summary of PTR-ToF-MS concentrations during canister collections.          \nmonoterpene_final.xlsx: Monoterpene concentration data for interference analysis.                   \nPTRMS-GMAP Comparison_final.xlsx: PTRMS and GMAP comparison data from different facilities.                   \nPTRMS_canister_stats_summary.csv: Processed summary of PTRMS Canister data.                                  \nPTRMS_canister_stats_summary_final.csv: Final processed statistics for PTRMS Canister data.                         \nPTRMS_concentration_gps_final.xlsx: Joined PTRMS concentration and GPS data.                                    \nPTRMS_GPS_final.xlsx: Finalized GPS data for PTRMS analysis.                                      \nsiftms_mz_45_comparison_final.xlsx: Data for comparing SIFT-MS at for potential acetaldehyde/EtO interference. \n\nThis dataset is associated with the following publication:\nCoughlin, J., A. Tasoglou, K. Haile, L. Silva, S. Hamilton, M. Fuoco, S. Porter, A. Liangou, and E. Thoma. Comparing short-term volatile organic compound measurements in fenceline environments using multiple mobile air monitoring methods.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(3): 295–308, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531999",
      "keyword": [
        "SIFT-MS",
        "air pollution",
        "Fenceline",
        "Air monitoring",
        "HAPs",
        "Environmental Justice",
        "VOCs",
        "PTR-ToF-MS",
        "GMAP",
        "Mobile sensors",
        "NGEM"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "siftms_mz_45_comparison_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/siftms_mz_45_comparison_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shredder_Canister_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Shredder_Canister_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PTRMS-GMAP Comparison_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/PTRMS-GMAP%20Comparison_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PTRMS_GPS_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/PTRMS_GPS_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PTRMS_concentration_gps_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/PTRMS_concentration_gps_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PTRMS_canister_stats_summary_final.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/PTRMS_canister_stats_summary_final.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PTRMS_canister_stats_summary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/PTRMS_canister_stats_summary.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "monoterpene_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/monoterpene_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Location_summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Location_summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DUVAS_BEN_reprocessed_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/DUVAS_BEN_reprocessed_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "daily_VOCS_2021.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/daily_VOCS_2021.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chemical_Canister_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Chemical_Canister_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Canister-PTRMS Comparison_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Canister-PTRMS%20Comparison_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Canister_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Canister_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Auto GC Clean_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Auto%20GC%20Clean_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/Data%20Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-11",
      "references": [
        "https://doi.org/10.1021/acsestair.4c00169"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531999/documents/Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for systematic review of improved cookstove technology trials",
      "description": "This dataset contains the rubric for data extraction for all papers considered for a systematic review of health impacts of improved cookstove technology trials in sub-Saharan Africa. \n\nThis dataset is associated with the following publication:\nDillon, D., S. Reigh, K. Rappazzo, T. Luben, and A. Weaver. A Systematic Review and Meta-Analysis Assessing the Impact of Improved Cookstove Technology Trials (ICTs) on Household Air Pollution and Human Health in Sub-Saharan Africa.   Current Environmental Health Reports. Springer International Publishing AG, Cham (ZG),  SWITZERLAND, 12: 8, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532056",
      "keyword": [
        "air pollution",
        "improved cookstove trial",
        "biomass fuels",
        "systematic review",
        "sub-Saharan Africa"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532056/ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-03-06",
      "references": [
        "https://doi.org/10.1007/s40572-025-00476-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11775074"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Degradation of aesthetics systematic review 2021",
      "description": "Data extracted from included studies in systematic review of degradation of aesthetics and human health. \n\nThis dataset is associated with the following publication:\nSlawsky, E., J. Hoffman, K. Cowan, and K. Rappazzo. Beneficial Use Impairments, Degradation of Aesthetics, and Human Health: A Review.   International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel,  SWITZERLAND, 19(10): 6090, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532006",
      "keyword": [
        "degradation of aesthetics",
        "Great Lakes",
        "bluespace",
        "Greenspace",
        "Beneficial Use Impairment",
        "human health"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.mdpi.com/1660-4601/19/10/6090",
          "accessURL": "https://www.mdpi.com/1660-4601/19/10/6090",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-29",
      "references": [
        "https://doi.org/10.3390/ijerph19106090",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9142078"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA_Bioassay Results",
      "description": "Mammalian In vitro bioassay results for associated manuscript-Exposures and potential health implications of contaminant mixtures in linked source water, pre-distribution, and service-area tapwater from public-supply drinking water systems in Minneapolis/St Paul area, USA. \n\nThis dataset is associated with the following publication:\nSmalling, K., P. Bradley, K. Romanok, S. Elliot, J. de Lambert, M. Focazio, S. Gordon, J. Gray, L. Kanagy, M. Hladik, K. Loftin, R.B. McCleskey, E. Medlock Kakaley, M. Cardon, N. Evans, and C. Weis. Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 9: 1813-1828, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532120",
      "keyword": [
        "tapwater",
        "bioassay",
        "estrogen",
        "androgen"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "MN Dept of Health Tapwater_Bioassay Data Summary_Sci Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532120/MN%20Dept%20of%20Health%20Tapwater_Bioassay%20Data%20Summary_Sci%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-11",
      "references": [
        "https://doi.org/10.1039/d3ew00066d"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Time to first hospitalization and/or death.",
      "description": "The data includes individual level information about the time of the first cardiovascular hospitalization and/or death. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please reach out to rappold.ana@epa.gov. Format: This data includes individual level information on time to the first hospitalization or death. \n\nThis dataset is associated with the following publication:\nFann, N., A. Zanobetti, D. Mork, W. Steinhardt, and A. Rappold. Applying a multistate survival model to explore the role of fine particles in promoting frailty in the Medicare cohort.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 8(1): e285, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532135",
      "keyword": [
        "Children's Environmental Health",
        "air quality",
        "air pollution",
        "human health",
        "health effects"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-04",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000285",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10852368"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Indicators of health vulnerability to wildfire smoke exposure.",
      "description": "Data contains various indicators of vulnerability to wildfire smoke exposure and health effects. \n\nThis dataset is associated with the following publication:\nJung, J., J.L. Wilkins, C.L. Schollaert, Y.J. Masudae, J.C. Flunkerd, R.E. Connolly, S.M.  D’Evelynd, E. Bonilliab, A. Rappold, R.D. Haugo, M.E. Marlierf, and J.T. Spector. Advancing the Community Health Vulnerability Index for Wildland Fire Smoke Exposure.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 906: 167834, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532136",
      "keyword": [
        "climate change",
        "wildfire",
        "air pollution",
        "Air monitoring",
        "vulnerability index"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969723064616?via%3Dihub#da0005",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969723064616?via%3Dihub#da0005",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-04",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.167834"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AHHS Dust PFAS NTA Negative Mode 3-28-25",
      "description": "This information comes from the dataset README covering the NTA data and associated metadata for this dataset.\nDust samples were collected from home vacuum bags and sieved (<150 µm). \nInternal standard (MPFAC-MXA, Wellington Labs) was spiked , dependent on dust mass, to a concentration of 10 ng/g.\nNative standards (PFAC-MXA in methanol, Wellington Labs) were dosed into each calibration and QC standard.\nThe next day, 5 ml methanol was added to each sample.\nSamples were sonicated, centrifuged, and cleaned up.\nSamples were then blown down using a dry nitrogen gas stream not to dryness; samples were reconstituted to 0.5 ml with methanol as needed.\nA 100 µl aliquot of sample extract was combined with 300 µl mobile phase A (see below).\n\nSample extracts were analyzed by UHPLC-MS/MS on a Thermo Scientific (Waltham, MA) system consisting of a TriPlus RSH autosampler/injector, Vanquish Horizon UPLC/pump system, and Thermo Orbitrap Fusion tribrid mass spectrometer.\nChromatographic separation was performed using a Restek (Bellefonte, PA) Raptor C18 column at 55 °C.\nA 15-minute reverse-phase gradient was applied consisting of mobile phases A (95:5 v/v deionized water:methanol containing 2.5 mM ammonium acetate) and B (5:95 v/v deionized water:methanol containing 2.5 mM ammonium acetate).\nNegative-polarity electrospray ionization [ESI (-)] was applied first, with positive-polarity applied afterwards.\nMass spectra were collected using a resolving power of 50,000, with preferred-ion data-dependent acquisition (DDA) applied to select molecular features for MS2 fragmentation.\n\nSamples were analyzed in a single batch.\nThe full batch was repeated twice with randomized sample order.\nSeparate batches were run for ESI(+) and ESI(-) analysis, for a total of six sample batches.\nTargeted methanolic calibration standards at concentrations of 1-1000 ng/g Wellington PFAC-MXA PFAS mixture were run at the start and end of the first batch.\nMethod blanks, QC standards, pooled samples, and solvent-only blanks were run every ten samples across all batches.\n\nAfter data collection, chromatograms were processed and peak areas integrated in Thermo Scientific Xcalibur Quan Browser 4.3 for targeted quantitation.\nFor nontargeted identification, chromatograms and associated mass spectra were processed in Thermo Scientific Compound Discoverer 3.3.\nFeatures were prioritized for expert identification based on a combination of high maximum abundance, strong match to library spectra, negative mass defect (for PFAS), presence as a member of a likely hologous series (for PFAS and surfactants); and/or presence of diagnostic PFAS-related fragments in their MS2 spectra.\nOverall, 742 features of interest at confidence 1-3 were identified, as well as 7 confidence-5 features meriting inclusion in the final dataset, and excluding hundreds of features representing false positives/adducts/etc. tentatively identified by Compound Discoverer.\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532119",
      "keyword": [
        "House dust",
        "Exposure predictions",
        "NTA",
        "PFAS",
        "tap water"
      ],
      "contactPoint": {
        "fn": "Jason Boettger",
        "hasEmail": "mailto:boettger.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "Clearance_NEG.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532119/Clearance_NEG.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AHHS Dust PFAS NTA",
      "description": "This information comes from the dataset README covering the NTA data and associated metadata for this dataset.\nDust samples were collected from home vacuum bags and sieved (<150 µm). \nInternal standard (MPFAC-MXA, Wellington Labs) was spiked , dependent on dust mass, to a concentration of 10 ng/g.\nNative standards (PFAC-MXA in methanol, Wellington Labs) were dosed into each calibration and QC standard.\nThe next day, 5 ml methanol was added to each sample.\nSamples were sonicated, centrifuged, and cleaned up.\nSamples were then blown down using a dry nitrogen gas stream not to dryness; samples were reconstituted to 0.5 ml with methanol as needed.\nA 100 µl aliquot of sample extract was combined with 300 µl mobile phase A (see below).\n\nSample extracts were analyzed by UHPLC-MS/MS on a Thermo Scientific (Waltham, MA) system consisting of a TriPlus RSH autosampler/injector, Vanquish Horizon UPLC/pump system, and Thermo Orbitrap Fusion tribrid mass spectrometer.\nChromatographic separation was performed using a Restek (Bellefonte, PA) Raptor C18 column at 55 °C.\nA 15-minute reverse-phase gradient was applied consisting of mobile phases A (95:5 v/v deionized water:methanol containing 2.5 mM ammonium acetate) and B (5:95 v/v deionized water:methanol containing 2.5 mM ammonium acetate).\nNegative-polarity electrospray ionization [ESI (-)] was applied first, with positive-polarity applied afterwards.\nMass spectra were collected using a resolving power of 50,000, with preferred-ion data-dependent acquisition (DDA) applied to select molecular features for MS2 fragmentation.\n\nSamples were analyzed in a single batch.\nThe full batch was repeated twice with randomized sample order.\nSeparate batches were run for ESI(+) and ESI(-) analysis, for a total of six sample batches.\nTargeted methanolic calibration standards at concentrations of 1-1000 ng/g Wellington PFAC-MXA PFAS mixture were run at the start and end of the first batch.\nMethod blanks, QC standards, pooled samples, and solvent-only blanks were run every ten samples across all batches.\n\nAfter data collection, chromatograms were processed and peak areas integrated in Thermo Scientific Xcalibur Quan Browser 4.3 for targeted quantitation.\nFor nontargeted identification, chromatograms and associated mass spectra were processed in Thermo Scientific Compound Discoverer 3.3.\nFeatures were prioritized for expert identification based on a combination of high maximum abundance, strong match to library spectra, negative mass defect (for PFAS), presence as a member of a likely hologous series (for PFAS and surfactants); and/or presence of diagnostic PFAS-related fragments in their MS2 spectra.\nOverall, 742 features of interest at confidence 1-3 were identified, as well as 7 confidence-5 features meriting inclusion in the final dataset, and excluding hundreds of features representing false positives/adducts/etc. tentatively identified by Compound Discoverer.\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532118",
      "keyword": [
        "House dust",
        "Exposure predictions",
        "NTA",
        "PFAS",
        "tap water"
      ],
      "contactPoint": {
        "fn": "Jason Boettger",
        "hasEmail": "mailto:boettger.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "Clearance_POSAndMeta.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532118/Clearance_POSAndMeta.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-27",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparing the health burden associated with wildfire and prescribed fire smoke in the past to the future burden estimated under a projected prescribed fire management scenario in California",
      "description": "Health and exposure data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: For access to the data please reach out to the corresponding author. Format: The data is owned by the California Department of Public Health. \n\nThis dataset is associated with the following publication:\nRosenberg, A., S. Hoshiko, J.R. Buckman, K.R. Yeomans, T. Hayashi,, S.J. Kramer, S. Huang, N.H.F. French, and A. Rappold. Health Impacts of Future Prescribed Fire Smoke: Considerations From an Exposure Scenario in California.   Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 12(2): e2023EF003778, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy; EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532134",
      "keyword": [
        "Wildfire smoke",
        "Prescribed Fires",
        "climate change",
        "Fire Management"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-04",
      "references": [
        "https://doi.org/10.1029/2023ef003778"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "PISCES Seahorse database ",
      "description": "This dataset contains saturated fatty acid, ambient PM2.5 and RBC mitochondria data. \n\nThis dataset is associated with the following publication:\nShen, W., H. Chen, C. Shih , J. Samet, and H. Tong. Modulatory Effects of Dietary Saturated Fatty Acids on Platelet Mitochondrial Function Following Short-Term Exposure to Ambient Particulate Matter (PM2.5).   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 187(5): 215-226, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531802",
      "keyword": [
        "PISCES",
        "Seahorse"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "Seahorse PISCES data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531802/Seahorse%20PISCES%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-29",
      "references": [
        "https://doi.org/10.1080/15287394.2023.2292709"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata: Social Cohesion as a Modifer of Joint Air Pollution Exposure and Incident Dementia",
      "description": "The data consists of tables extracted from the National Health and Aging Trends Study (NHATS). The data contains residential history, environmental exposures, disease diagnoses, demographics, and income. This dataset is not publicly accessible because: This data is not owned by the EPA and cannot be posted publicly as it contains PII. It can be accessed through the following means: The data can be accessed by contacting the corresponding author for the study (Dr. Aisha Dickerson). Format: The data consists of tables extracted from the National Health and Aging Trends Study (NHATS). The data contains residential history, environmental exposures, disease diagnoses, demographics, and income. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532146",
      "keyword": [
        "air pollution",
        "Dementia",
        "social cohesion"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata GAPDH inhibition mediated by thiol oxidation in human airway epithelial cells exposed to an environmental peroxide",
      "description": "Metadata for GAPDH inhibition mediated by thiol oxidation in human airway epithelial cells exposed to an environmental peroxide",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532139",
      "keyword": [
        "sulfenylation click chemistry"
      ],
      "contactPoint": {
        "fn": "James Samet",
        "hasEmail": "mailto:samet.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Scihub Metadata Sulfenylation Paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532139/Scihub%20Metadata%20Sulfenylation%20Paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Stable Isotope data from the Willamette Basin, Oregon",
      "description": "Water stable isotope ratios (<delta>2H and <delta>18O) from the Willamette River Basin in Oregon, USA.  Isotope values in the Willamette River are from both Portland and Corvallis Oregon, and were collected once or twice a month for 13 years (2011 - 2013).  Isotope data are provided for small spatially distributed watersheds across the basin and samples were collected once a year during summer lowflow, and used to test the temporal stability of the Willamette River Basin Isoscape developed in the following paper: Brooks, J. R., Wigington, P. J., Phillips, D. L., Comeleo, R., & Coulombe, R. (2012). Willamette River Basin surface water isoscape (d18O and d2H): temporal changes of source water within the river. Ecosphere, 3(5), 39. doi: http://dx.doi.org/10.1890/ES11-00338.1  In addition, precipitation isotopes from Corvallis and Newport were collected weekly. \n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531963",
      "keyword": [
        "hydrology",
        "Snow",
        "river flow",
        "water quantity",
        "stable isotopes",
        "precipitation"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "Willamette Water Isotopes 2011-2023 data-SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531963/Willamette%20Water%20Isotopes%202011-2023%20data-SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Oregon Precipitation Isotope data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531963/Oregon%20Precipitation%20Isotope%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Calculating the Fitted Filtration Efficiency of Face Coverings",
      "description": "This code is used to calculate fitted filtration efficiency of disposable respiratory protection as measured by the difference between particulate counts in ambient vs. \"behind mask\" air sampled using condensation particulate counters. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532144",
      "keyword": [
        "disposable respiratory protection",
        "public health"
      ],
      "contactPoint": {
        "fn": "Jacob Griffin",
        "hasEmail": "mailto:griffin.jacob@epa.gov"
      },
      "distribution": [
        {
          "title": "FF2PythonScript.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532144/FF2PythonScript.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropometric Database for Disposable Respirator and Mask Performance",
      "description": "This dataset comprises craniometric and anthropometric dimensions from over 300 participants collected as part of the FACEFIT and FACEFIT2.0 projects. This data was collected and compiled according to ISO #7250-1 and 15535 using a 3D camera and standard calipers. ",
      "accessLevel": "public",
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        "020:00"
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      "programCode": [
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      "identifier": "https://doi.org/10.23719/1532138",
      "keyword": [
        "Anthropometrics",
        "disposable respiratory protection"
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        "fn": "Jacob Griffin",
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      },
      "distribution": [
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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      },
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    },
    {
      "title": "Masking Behavior and Face Size Assessment in the General Public",
      "description": "This dataset contains information regarding disposable mask usage and behaviors in theoretical scenarios where an individual is exposed to air pollution and air quality emergencies. It also contains information on self-assessed craniofacial size, an important determinant of mask efficiency. ",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532145",
      "keyword": [
        "craniometrics",
        "disposable respiratory protection",
        "public health"
      ],
      "contactPoint": {
        "fn": "Jacob Griffin",
        "hasEmail": "mailto:griffin.jacob@epa.gov"
      },
      "distribution": [
        {
          "title": "Masking Behavior Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532145/Masking%20Behavior%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fitted Filtration Efficiency of Commonly Worn Disposable Respirators and Ear-loop Masks",
      "description": "The fitted filtration efficiency of the most commonly worn disposable respirators and ear loop masks as measured using condensation particle counters. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532143",
      "keyword": [
        "disposable respiratory protection",
        "Clinical Research",
        "Air quality and health"
      ],
      "contactPoint": {
        "fn": "Jacob Griffin",
        "hasEmail": "mailto:griffin.jacob@epa.gov"
      },
      "distribution": [
        {
          "title": "FFE Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532143/FFE%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532143/documents/FFE%20Database%20Key.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Sivaganesan etal 20xx_Data Set",
      "description": "Data set includes measurements used to generate Figures 1, 2, 3, and 4.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532112",
      "keyword": [
        "enterococcus qPCR",
        "whole cell DNA standard",
        "fecal indicator bacteria",
        "recreational water"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Sivaganesan etal 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532112/Sivaganesan%20etal%2020xx_Data%20Set.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salinity Trends in Chesapeake Bay Program Stations",
      "description": "Salinity data synthesized and summarized from both EPA and USGS publicly available data. \n\nThis dataset is associated with the following publication:\nKaushal, S., S. Shelton, P. Mayer, B. Kellmayer, R. Utz, J. Reimer, J. Baljunas, S. Bhide, A. Mon, B. Rodriguez-Cardona, S. Grant, T. Newcomer Johnson, J. Malin, R. Shatkay, D. Collison, K. Papageorgiou, J. Escobar, M. Rippy, G. Likens, R. Najjar, A. Mejia, A. Lassiter, M. Li, and R. Chant. Freshwater Faces a Warmer and Saltier Future from Headwaters to Coasts:  Climate Risks, Saltwater Intrusion, and Biogeochemical Chain Reactions.   BIOGEOCHEMISTRY. Springer, New York, NY, USA, 168: 31, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532133",
      "keyword": [
        "salinity",
        "Freshwater",
        "Chesapeake Bay",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Paul Mayer",
        "hasEmail": "mailto:mayer.paul@epa.gov"
      },
      "distribution": [
        {
          "title": "https://static-content.springer.com/esm/art%3A10.1007%2Fs10533-025-01219-6/MediaObjects/10533_2025_1219_MOESM2_ESM.xlsx",
          "accessURL": "https://static-content.springer.com/esm/art%3A10.1007%2Fs10533-025-01219-6/MediaObjects/10533_2025_1219_MOESM2_ESM.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-03",
      "references": [
        "https://doi.org/10.1007/s10533-025-01219-6",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11893707"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ozone Sperm",
      "description": "Data from \"Episodic ozone exposure in Long-Evans rats has limited effects on cauda sperm motility and non-coding RNA populations\". \n\nThis dataset is associated with the following publication:\nChorley, B., G. Klinefelter, G. Nelson, L. Strader, H. Nguyen, M. Schladweiler, G. Palmer, M. Moore, R. Grindstaff, W. Padgett, G. Carswell, A. Astriab Fisher, U. Kodavanti, J. Dye, and C. Miller. Episodic ozone exposure in Long-Evans rats has limited effects on cauda sperm motility and non-coding RNA populations..   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 128: 108631, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531976",
      "keyword": [
        "Ozone",
        "NAAQS",
        "air pollution",
        "Reproductive Toxicity"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "O3Sperm SciHub File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531976/O3Sperm%20SciHub%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-03",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2024.108631"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Polychlorinated Biphenyls Mixtures Similarity Tool (MiST)",
      "description": "The PCB Mixtures Similarity Tool (MiST) is an Excel-based tool that automates the process for determining whether two PCB mixtures are \"sufficiently similar\". Humans are exposed to complex mixtures of PCBs in the environment; however, only a small subset of PCB mixtures has been tested for toxicity. MiST was developed as a tool for risk assessors to evaluate how dose-response information for tested PCB mixtures may serve as a surrogate when assessing untested mixtures found in the environment.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532148",
      "keyword": [
        "Mixture Similarity",
        "Children's Environmental Health",
        "Benchmark Dose",
        "chemical mixtures",
        "PCB congeners",
        "PCBs"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_Talk 1_EPA Mixtures Practices_Rice_FINAL_508.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/EPA_Talk%201_EPA%20Mixtures%20Practices_Rice_FINAL_508.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ICF_Talk 4_MiST Slides_3-16-22_Final_508.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/ICF_Talk%204_MiST%20Slides_3-16-22_Final_508.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA_Talk3_Potency_Patlewicz_FINAL_508.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/EPA_Talk3_Potency_Patlewicz_FINAL_508.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EPA _Talk 2_Mixtures Approaches_Gift and Carlson_FINAL_508.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/EPA%20_Talk%202_Mixtures%20Approaches_Gift%20and%20Carlson_FINAL_508.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MiST User Guide_final.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/MiST%20User%20Guide_final.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mixtures Similarity Tool_Version 1.1_03_24_22.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532148/Mixtures%20Similarity%20Tool_Version%201.1_03_24_22.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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    },
    {
      "title": "High-Resolution (1 Meter) Land Cover for 98 counties in West Virginia (2020), Virginia (2021), and Pennsylvania (2022); providing complete coverage for EPA Region 3 when combined with 2021 - 2022 Chesapeake Bay Program Land Use / Land Cover data.",
      "description": "This map shows high-resolution (1 meter) land cover in the EPA Region 3, covering the parts of West Virginia, Virginia, and Pennsylvania outside of the Chesapeake Bay Watershed. It contains the following classes: Water, Tree Canopy, Scrub\\Shrub, Low Vegetation, Barren, Impervious Structures, Other Impervious, Impervious Roads, Tree Canopy Over Impervious Structures, Tree Canopy Over Other Impervious, and Tree Canopy Over Impervious Roads. Using object-based image analysis mapping techniques, it was mapped from a combination of remote-sensing imagery and GIS datasets, including LiDAR, multispectral imagery, and thematic layers (e.g., roads, building footprints). Draft output was then manually reviewed and edited to eliminate obvious errors of omission and commission. The classification scheme closely follows a similar mapping effort for the Chesapeake Bay Watershed; together, maps from the two projects cover the entirety of the EPA Region 3 states. One difference between the projects, however, is that tidal wetlands were mapped in the Chesapeake Bay effort, included as the class Emergent Wetlands, but not in the EPA Region 3 zones outside of the watershed. The map is considered current as of 2020 for West Virginia, 2021 for Virginia, and 2022 for Pennsylvania.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532161",
      "keyword": [
        "Agriculture",
        "Urban Watersheds",
        "ecology",
        "land cover"
      ],
      "contactPoint": {
        "fn": "Jeremy Baynes",
        "hasEmail": "mailto:baynes.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://enviroatlas.epa.gov/download/EnviroAtlas_PA_WV_VA_98_Counties_HighRes_LandCover_w_metadata.zip",
          "accessURL": "https://enviroatlas.epa.gov/download/EnviroAtlas_PA_WV_VA_98_Counties_HighRes_LandCover_w_metadata.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for the manuscript \"The Evaluation of a New ELISA-Based Kit for Total Microcystins as an Early Detection Tool for Microcystin Blooms in Source Waters and Its Application State-Wide to Oregon Source and Finished Drinking Waters\"",
      "description": "Data used to create the tables and figures in manuscript PMC11861646. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532160",
      "keyword": [
        "Harmful Algal Bloom (HAB)",
        "ELISA",
        "EPA Method 546"
      ],
      "contactPoint": {
        "fn": "Barry Pepich",
        "hasEmail": "mailto:pepich.barry@epa.gov"
      },
      "distribution": [
        {
          "title": "Data-for-Tables 1-5, and Fig 1 and 2, Lab2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532160/Data-for-Tables%201-5%2C%20and%20Fig%201%20and%202%2C%20Lab2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data-for-Tables 1-4, Lab1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532160/Data-for-Tables%201-4%2C%20Lab1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-03",
      "references": [
        "https://doi.org/10.3390/toxins17020053",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11861646"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532160/documents/Data%20and%20Acronym%20Definitions.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Willis etal 20xx_Data Set",
      "description": "Data set includes measurements used in Figure 2.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532125",
      "keyword": [
        "Bacteriophage",
        "wastewater",
        "Fecal Source Identification",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Willis etal 20xx_Data Set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532125/Willis%20etal%2020xx_Data%20Set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effectiveness of ballast water management systems in the Great Lakes based on a paired uptake-discharge sample design",
      "description": "ASV counts across samples with taxonomic identification of ASVs",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531924",
      "keyword": [
        "ballast water",
        "ballast water treatment systems",
        "invasive species",
        "biodiversity",
        "COI",
        "metabarcoding"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "DFO_biofouling_2024.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531924/DFO_biofouling_2024.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DFO-S019-read-abundance-OTU-table.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531924/DFO-S019-read-abundance-OTU-table.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ballast Water Oversampling",
      "description": "Amplicon sequence variants from ballast water samples generated with primer sets targeting 18S and COI loci\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532165",
      "keyword": [
        "ballast water",
        "biodiversity",
        "DNA monitoring",
        "Non-native Species",
        "18S",
        "COI",
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    {
      "title": "github vdeq=stream-condition-predictions-main ",
      "description": "Stream condition index and water quality data from Virgina Department of Environmental Quality\nand landscape metrics from EPA's Stream Catchment dataset.",
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      "identifier": "https://doi.org/10.23719/1532157",
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      "title": "Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment",
      "description": "Data processing was conducted using the Anaconda distribution of Python 3.9 and associated libraries. Jupyter notebooks are available at https://github.com/patlewig/nts_pfas. \n\nDatasets supporting the manuscript are accessible at https://doi.org/10.23645/epacomptox.26524327. \n\nThis dataset is associated with the following publication:\nPatlewicz, G., R. Judson, A. Williams, T. Butler, S. Barone, K. Carstens, J. Cowden, J. Dawson, S. Degitz, K. Fay, A. Lowit, S. Padilla, K. Friedman, M. Phillips, D. Turk, J. Wambaugh, B. Wetmore, and R. Thomas. Development of chemical categories for per- and polyfluoroalkyl substances (PFAS) and the proof-of-concept approach to the identification of potential candidates for tiered toxicological testing and human health assessment.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 31: 100327, (2024).",
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        {
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      "title": "A Dataset of Water Quality and Related Variables in U.S. Reservoirs",
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        "fn": "Jake Beaulieu",
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    {
      "title": "PFAS-GAC Matrix Impact Adsorption Data",
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        "fn": "Jonathan Burkhardt",
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      "identifier": "https://doi.org/10.23719/1532152",
      "keyword": [
        "PICs",
        "thermal treatment",
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        "perfluoroctanoic acid (PFOA)"
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      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
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          "title": "OTM-50 Rainbow PFBA PFOA results.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "CIMS PFOA HR data.csv",
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          "mediaType": "text/csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "CEMS Summary PFOA Injection 34kW.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532152/FTIR%20raw%20files.zip",
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    {
      "title": "Phoenix-as-a-Testbed for Air Quality Sensors (P-TAQS) Dataset used in exploring the Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors",
      "description": "Maricopa County partnered with EPA Office of Research and Development to evaluate the utility of sensors to capture wood burning episodes.  For this study, PM2.5 sensors were collocated at three air quality monitoring stations within this targeted geographic area. Namely, Durango Complex, West Phoenix, and South Phoenix (designated as DC, WP and SP) for a period of 2 years to better understand sensor performance, comparability with regulatory grade monitors, and to explore drift and changes in performance over time. Approximately 6 months later, phase II began a year+ field study using sensors in a distributed network with FRM/FEM monitors to measure PM2.5 to characterize the impact of local air pollution sources—targeting the wintertime heating season in which wood combustion is the principal air pollutant source of interest; other sensors to be deployed during Phase II include black carbon sensors.\n\nThe Zenodo link provides raw PM2.5 data collected as part of the P-TAQS study from these PurpleAir sensors and reference instruments deployed at fixed sites at 1-minute time resolution ordered by site and date/time.\n\nThis ScienceHub entry contains the processed data files used to create the Figures in the manuscript titled \"Seasonal Effects in the Application of the MOMA Remote Calibration Tool to Outdoor PM2.5 Air Sensors\"",
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        "fn": "Andrea Clements",
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      "distribution": [
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532147/Figure3b_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532147/Figure3a_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532147/Figure2b_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532147/Figure2a_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532147/Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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    {
      "title": "Metadata Dictionary Describing Data to Model a Chemical's Conditions of Use",
      "description": "This data dictionary describes relevant fields from secondary data sources that can assist with modeling the conditions of use for a chemical when performing a chemical assessment. Information on how to access the secondary data sources are included. \n\nThis dataset is associated with the following publication:\nChea, J.D., D.E. Meyer, R.L. Smith, S. Takkellapati, and G.J. Ruiz-Mercado. Exploring automated tracking of chemicals through their conditions of use to support life cycle chemical assessment.   JOURNAL OF INDUSTRIAL ECOLOGY. Berkeley Electronic Press, Berkeley, CA, USA, 29(2): 413-616, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531760",
      "keyword": [
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      "contactPoint": {
        "fn": "David Meyer",
        "hasEmail": "mailto:meyer.david@epa.gov"
      },
      "distribution": [
        {
          "title": "CoU - Metadata File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531760/CoU%20-%20Metadata%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-01",
      "references": [
        "https://doi.org/10.1111/jiec.13626"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Moorhead_etal2025_ES&TWater",
      "description": "Input csvs containing P and N inventories by HUC8, kgPN from fire retardants per HUC8 x year\nR code for compiling and matching inputs\nOutput csvs for comparing fire retardant P to P deposition and fire retardant N to N deposition. \n\nThis dataset is associated with the following publication:\nMoorhead, L.C., M.J. Pennino, R.D. Sabo, and S.D. LeDuc. Fire Retardants Are an Overlooked Source of Phosphorus to Western US Ecosystems.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 5(4): 1620-1627, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531995",
      "keyword": [
        "Ambient Water",
        "drinking water",
        "nutrients",
        "wildfire"
      ],
      "contactPoint": {
        "fn": "Leigh Moorhead",
        "hasEmail": "mailto:moorhead.leigh@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_Upload.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531995/SciHub_Upload.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-20",
      "references": [
        "https://doi.org/10.1021/acsestwater.4c00966"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531995/documents/Moorhead_etal2025_SciHub_MetaData.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Full dataset for Far-UVC HEPA infectious aerosols manuscript",
      "description": "Full dataset for \"Factors affecting reduction of infectious aerosols by far-UVC and portable HEPA air cleaners\". \n\nThis dataset is associated with the following publication:\nRatliff, K.M., L. Oudejans, M.W. Calfee, J. Archer, J.U. Gilberry, D.A. Hook, W.E. Schoppman, and R.W. Yaga. Factors affecting reduction of infectious aerosols by far-UVC and portable HEPA air cleaners.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 2(3): 368-377, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531028",
      "keyword": [
        "Air Cleaning",
        "airborne pathogen",
        "bioaerosol",
        "HEPA",
        "MS2",
        "Ultraviolet"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "Far-UVC HEPA manuscript data_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531028/Far-UVC%20HEPA%20manuscript%20data_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-04",
      "references": [
        "https://doi.org/10.1021/acsestair.4c00247"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Drinking Water Sources, Quality, and Associated Health Outcomes in Appalachian Virginia: A Risk Characterization Study in Two Counties",
      "description": "Data set contains sensitive PII and cannot be released publicly. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: contact Tim Wade (wade.tim@epa.gov). Format: Data include personally identifiable information collected from living individuals. \n\nThis dataset is associated with the following publication:\nWade, T., A. Cohen, M. Raseduzzaman, B. O'Connell, T. Brown, T. Mami, L. Krometis, A. Hubbard, P. Scheuerman, M. Edwards, A. Darling, B. Pennala, S. Price, B. Lytton, E. Whettstone, S. Pholwat, S. Griffin, J. Kobylanski, and A. Egorov. Drinking Water Sources, Quality, and Associated Health Outcomes in Appalachian Virginia: A Risk Characterization Study in Two Counties.   ENVIRONMENTAL HEALTH. BioMed Central Ltd, London,  UK, 260: 114390, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532009",
      "keyword": [
        "infection",
        "drinking water",
        "saliva",
        "diarrhea",
        "Appalachia"
      ],
      "contactPoint": {
        "fn": "Timothy Wade",
        "hasEmail": "mailto:wade.tim@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "R MCSimMod Package",
      "description": "MCSimMod is a flexible and efficient R package that can be used for implementation and application of physiologically based pharmacokinetic (PBPK) and other ordinary differential equation (ODE) models.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532185",
      "keyword": [
        "PBPK modeling",
        "mathematical model",
        "software package"
      ],
      "contactPoint": {
        "fn": "Dustin Kapraun",
        "hasEmail": "mailto:kapraun.dustin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/MCSimMod",
          "accessURL": "https://github.com/USEPA/MCSimMod",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "California aquatic environmental DNA",
      "description": "This data set represents environmental DNA (eDNA) data obtained from water samples collected in the Sacramento River watershed and in the Central Valley, CA, USA. Specifically, Metabarcoding and quantitative polymerase chain reaction (qPCR) data targeting the piscine assemblage in the Sacramento River and the and brachiopod species in Vernal pools.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532153",
      "keyword": [
        "metabarcoding",
        "quantitative polymerase chain reaction (qPCR)",
        "environmental DNA (eDNA)",
        "fish",
        "vernal pools"
      ],
      "contactPoint": {
        "fn": "Eric Waits",
        "hasEmail": "mailto:waits.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "California Environmental DNA Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532153/California%20Environmental%20DNA%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Freshwater mussel environmental DNA (eDNA)",
      "description": "These data represent environmental DNA detections of freshwater mussels in the Green River, KY, USA; West Virginia long-term water quality monitoring sites, USA; and the Chesapeake Bay and Potomac basin, Maryland, USA. \n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532155",
      "keyword": [
        "freshwater mussels",
        "environmental DNA (eDNA)",
        "metabarcoding",
        "quantitative polymerase chain reaction (qPCR)"
      ],
      "contactPoint": {
        "fn": "Eric Waits",
        "hasEmail": "mailto:waits.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Freshwater mussel data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532155/Freshwater%20mussel%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salamander Environmental DNA (eDNA)",
      "description": "These data describe detections of environmental DNA (eDNA) of eight species of salamanders including Eurycea cirrigera, Gyrinophilus porphyriticus, Desmognathus fuscus, Desmognathus monticola, Desmognathus welteri, Plethodon richmondi, Eurycea longicauda, and Cryptobranchus alleganiensis in water samples collected from sites in the Buckhorn Creek watershed in eastern Kentucky, USA.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532156",
      "keyword": [
        "salamander",
        "environmental DNA (eDNA)",
        "quantitative polymerase chain reaction (qPCR)",
        "species occupancy"
      ],
      "contactPoint": {
        "fn": "Eric Waits",
        "hasEmail": "mailto:waits.eric@epa.gov"
      },
      "distribution": [
        {
          "title": "Salamander Environmental DNA data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532156/Salamander%20Environmental%20DNA%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "San Juan Watershed Lead Isotope Data",
      "description": "The U.S. Environmental Protection Agency characterized sediments and seeps/springs in the San Juan watershed located in southwestern Colorado and the four corners region of Colorado, New Mexico, Arizona, and Utah (western United States). The Datasets contain field and laboratory data that resulted from that sampling. Samples for this project were collected from 2018 to 2021. Results of new Pb isotope ratio measurements are provided for sediments (n = 96) collected from across the watershed and seeps/springs (n = 73) from the mineralized headwaters region of the watershed. The Microsoft Excel spreadsheets contain sample data and Quality Control data, including results of primary standards, second source standards, and sample duplicate analyses.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532172",
      "keyword": [
        "Animas River",
        "San Juan watershed",
        "Source Attribution",
        "lead",
        "lead isotopes"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Pb Isotopes San Juan combined events.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532172/Pb%20Isotopes%20San%20Juan%20combined%20events.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pb Isotope Ratio Bonita Peak.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532172/Pb%20Isotope%20Ratio%20Bonita%20Peak.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532172/documents/San%20Juan%20Pb%20Isotope%20data_Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Predicting lake chlorophyll from stream phosphorus concentrations (2024): Data and Scripts",
      "description": "Monitoring data from Minnesota and from national surveys of lakes and streams that were used in the analysis for the paper: Predicting lake chlorophyll from stream phosphorus concentrations. \n\nmod.mn.R.txt: R script for fitting TP-Chl model using Minnesota data\nmod.nat.R.txt: R script for fitting TP-Chl model using national data\ndat.nat.1.csv: National stream TP data\ndat.nat.2.csv: National lake Chl data\ndat.mn.1.csv: Minnesota lake Chl data\ndat.mn.2.csv: Minnesota stream TP data. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532140",
      "keyword": [
        "total phosphorus",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Lester Yuan",
        "hasEmail": "mailto:yuan.lester@epa.gov"
      },
      "distribution": [
        {
          "title": "dat.nat.1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532140/dat.nat.1.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dat.nat.2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532140/dat.nat.2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dat.mn.1.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532140/dat.mn.1.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "dat.mn.2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532140/dat.mn.2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-07",
      "references": [
        "https://doi.org/10.1111/1752-1688.13243",
        "https://pasteur.epa.gov/uploads/10.23719/1532140/documents/mod.mn.R.txt",
        "https://pasteur.epa.gov/uploads/10.23719/1532140/documents/mod.nat.R.txt"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A dataset of benthic DNA metabarcoding data from rivers and streams",
      "description": "These are auxiliary data that complement the dataset associated with subproduct SSWR.401.1.2.24 and can be used to further explore and expand approaches and applications developed therein. (SSWR.401.1.2.24: Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States)",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532105",
      "keyword": [
        "16S",
        "streams",
        "rbcL",
        "DNA",
        "metabarcoding",
        "rivers"
      ],
      "contactPoint": {
        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
      },
      "distribution": [
        {
          "title": "Periphyton_DNA_dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532105/Periphyton_DNA_dataset.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Study of prescription claims data and smoke exposure in children",
      "description": "Data used in this study has PII and cannot be made public. Please contact the corresponding author of the manuscript. \nDhingra R, Keeler C, Staley BS, Jardel HV, Ward-Caviness C, Rebuli ME, Xi Y, Rappazzo K, Hernandez M, Chelminski AN, Jaspers I, Rappold AG. Wildfire smoke exposure and early childhood respiratory health: a study of prescription claims data. Environ Health. 2023 Jun 27;22(1):48. doi: 10.1186/s12940-023-00998-5. PMID: 37370168; PMCID: PMC10294519. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please reach out to the corresponding author. Format: Data includes HIPAA protected information. \n\nThis dataset is associated with the following publication:\nDhingra, R., C. Keeler, B. Staley, H. Jardel, C. Ward-Caviness, M. Rebuli, Y. Xi, K. Rappazzo, M. Hernandez, A. Chelminski, i. Jaspers, and A. Rappold. Wildfire smoke exposure and early childhood respiratory health: a study of prescription claims data.   ENVIRONMENTAL HEALTH. BioMed Central Ltd, London,  UK, 22(1): 48, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532074",
      "keyword": [
        "Children's Environmental Health",
        "climate change",
        "Nitrogen and Co-pollutants",
        "Smoke Exposure",
        "children's health",
        "respiratory health",
        "Wildfire smoke"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2025-03-12",
      "references": [
        "https://doi.org/10.1186/s12940-023-00998-5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294519"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "GP NO3 Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into SOA ",
      "description": "Data set generated in collaboration with Dr Andy Lamb from Aerodyne Inc. Portions of this dataset are inaccessible because: Non-EPA-owned by Aerodyne Inc. They can be accessed through the following means: Contact Dr Andy Lamb from Aerodyne Inc. at: lambe@aerodyne.com/. Format: Data format, size, \r\nif special instruments\r\n/software is needed to read the data. \n\nThis dataset is associated with the following publication:\nLambe, A., C. Glenn, A. Avery, T. Xu, J.C. Ditto, M. Canagaratna, D. Gentner, K. Docherty, M. Jaoui, J.  Zaks, A.K.  Bertram, N.L. Ng, and P. Liu. Gas-Phase Nitrate Radical Production Using Irradiated Ceric Ammonium Nitrate: Insights into Secondary Organic Aerosol Formation from Biogenic and Biomass Burning Precursors.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(3): 545-559, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532206",
      "keyword": [
        "air pollution",
        "air quality",
        "Aerosol Mass spetrometry",
        "Secondary Organic Aerosol",
        "Nitrates radicals",
        "Oxidation Flow Reactor"
      ],
      "contactPoint": {
        "fn": "Mohammed Jaoui",
        "hasEmail": "mailto:jaoui.mohammed@epa.gov"
      },
      "distribution": [
        {
          "title": "ER582_aPinene_N2O5_AMS_SciHub_Data.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532206/ER582_aPinene_N2O5_AMS_SciHub_Data.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ER581_bCaryophyllene_N2O5_AMS_SciHub_Data.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532206/ER581_bCaryophyllene_N2O5_AMS_SciHub_Data.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ER580_Isoprene_N2O5_AMS_SciHub_Data.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532206/ER580_Isoprene_N2O5_AMS_SciHub_Data.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-18",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.4c00293"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Demonstration of LoA Method For Hydrologic Model Evaluation",
      "description": "These are hydrometeorological datasets obtained from US national data repositories as inputs to a hydrologic model and model simulations over the St. Joseph River Watershed (SJRW) for both gauged and hypothetical ungauged scenarios. The datasets purpose is to demonstrate the applicability of the machine learning-based Limits of Acceptability (LoA) method and hydrologic signatures to evaluate the Sacramento Soil Moisture Accounting (SAC-SMA). \n\nThis dataset is associated with the following publication:\nGupta, A., M.M. Hantush, and R.S. Govindaraju. Evaluation of hydrological models at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 641: 131774, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531956",
      "keyword": [
        "hydrologic model",
        "machine learning",
        "Limits of Acceptability",
        "Uncertainty Estimation",
        "Sacramento Soil Moisture Accounting",
        "Saint Joseph River Watershed"
      ],
      "contactPoint": {
        "fn": "Mohamed Hantush",
        "hasEmail": "mailto:hantush.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/10483643",
          "accessURL": "https://zenodo.org/records/10483643",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10483702",
          "accessURL": "https://zenodo.org/records/10483702",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10483938",
          "accessURL": "https://zenodo.org/records/10483938",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10483964",
          "accessURL": "https://zenodo.org/records/10483964",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10530454",
          "accessURL": "https://zenodo.org/records/10530454",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10515777",
          "accessURL": "https://zenodo.org/records/10515777",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/records/10515763",
          "accessURL": "https://zenodo.org/records/10515763",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "ScienceHub_data_Model Uncertainty_LoA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531956/ScienceHub_data_Model%20Uncertainty_LoA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-03",
      "references": [
        "https://doi.org/10.1016/j.jhydrol.2024.131774"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TracMyAir Pilot Studies 1 and 2",
      "description": "data for manuscript titled \"Smartphone Application (TracMyAir) for Modeling Exposures to PM2.5 and Ozone – Integration with Air Quality Networks and Location-Activity Sensors\" by M. Breen, V. Isakov, et al. \n\nThis dataset is associated with the following publication:\nBreen, M., V. Isakov, C. Seppanen, S. Arunachalam, M. Breen, S. Prince, T. Long, D. Heist, P. Deshmukh, K. Appel, C. Hogrefe, B. Murphy, C. Nolte, R. Owen, G. Pouliot, H. Pye, and J. Rosati Rowe. TracMyAir smartphone application for modeling exposures to PM2.5 and ozone – Integration with air quality networks and location-activity sensors.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 959: 178200, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530865",
      "keyword": [
        "air pollution",
        "Exposure modeling",
        "particulate matter",
        "microenvironment",
        "time-activity"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [
        {
          "title": "TracMyAir_FigureS2_PM25_PS2PurpleAir.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_FigureS2_PM25_PS2PurpleAir.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_FigureS2_O3_PS2AirNow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_FigureS2_O3_PS2AirNow.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_FigureS1_PS1AirNow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_FigureS1_PS1AirNow.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7c_PM25PurpleAir_PS2dose_HeartRate.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7c_PM25PurpleAir_PS2dose_HeartRate.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7c_O3AirNow_PS2dose_HeartRate.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7c_O3AirNow_PS2dose_HeartRate.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7b_PM25PurpleAir_PS2dose_StepsWatch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7b_PM25PurpleAir_PS2dose_StepsWatch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7b_O3AirNow_PS2dose_StepsWatch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7b_O3AirNow_PS2dose_StepsWatch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7a_PM25PurpleAir_PS2dose_StepsPhone.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7a_PM25PurpleAir_PS2dose_StepsPhone.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure7a_O3AirNow_PS2dose_StepsPhone.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure7a_O3AirNow_PS2dose_StepsPhone.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure6_PM25indoor_PS2PurpleAir.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure6_PM25indoor_PS2PurpleAir.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure5_PM25_PS2PurpleAir.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure5_PM25_PS2PurpleAir.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure5_O3_PS2AirNow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure5_O3_PS2AirNow.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure4_PS1AirNow.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure4_PS1AirNow.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TracMyAir_Figure3_TimeSpent_in_ME.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530865/TracMyAir_Figure3_TimeSpent_in_ME.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.178200"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO v2.5 Models",
      "description": "This dataset consists of various USEEIO v2.5 models.\nAll models are built using the coupled model approach described in the EPA 2024 report \"Estimating embodied environmental flows in international imports for the U.S. Environmentally-Extended Input-Output (USEEIO) Model\" and using the v1.7.0 release of useeior.\nModels are named using an alias that corresponds with a unique set of model attributes, and the final two digits represent the last two digits of the year intended to be represented. Model alias attributes are defined at https://github.com/USEPA/USEEIO/blob/master/models.md#aliases.\nCatbird and oriole are detailed and summary-level models, respectively, coupled with CEDA 2024 for representing GHGs in imports.\nKinglet and kingbird are detailed and summary-level models, respectively, coupled with EXIOBASE v3.8.2 for representing GHGs in imports.\nWaxwing and yellowthroat are detailed and summary-level models, respectively, coupled with the GLORIA v59a model for representing GHGs and material flows in imports.\nThe summary level models are available for 2017-2022 for EXIOBASE- and GLORIA-coupled models and 2022 for the CEDA-coupled model. The detailed CEDA, EXIOBASE and GLORIA coupled models are only available for 2022 (note underlying U.S. IO data represents 2017 for detailed models). \n\n\"v2.5-kingbird-\" models replace \"v2.3-s-GHG-\" models, published under \"USEEIO Models with Import Emission Factors for Greenhouse Gases for 2017-2022 from EXIOBASE coupled model\".\n\"v2.5-oriole-22\" replaces \"v2.4-oriole-22\" , published under \"USEEIO Models with Import Emission Factors for Greenhouse Gases for 2022 from CEDA coupled model\". \n\nThe model objects are in unique tabs/worksheets of each file and defined in https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md.\nLinks to the model specification files are provided below. \n\nMore information can be found on these models in two additions to the original EPA report \"Estimating embodied environmental flows in international imports for the USEEIO Model\" https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470. The \"Corrigendum: Updated Results for Consumption-based GHG Emissions\" describes updates related to the EXIOBASE and CEDA coupled models. Addendum 2 describes the GLORIA coupled models. \n\nPlease cite this dataset as \"Young, Ben, and Wesley Ingwersen. 2025. USEEIO v2.5 Models. Data.gov. https://doi.org/10.23719/1532178.\". \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532178",
      "keyword": [
        "USEEIO",
        "EEIO",
        "GHGs"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv2.5-yellowthroat-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-yellowthroat-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-21.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-yellowthroat-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-20.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-yellowthroat-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-19.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-yellowthroat-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-18.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-yellowthroat-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-yellowthroat-17.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-waxwing-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-waxwing-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-oriole-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-oriole-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kinglet-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kinglet-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-21.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-21.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-20.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-19.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-19.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-18.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-18.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-kingbird-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-kingbird-17.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "USEEIOv2.5-catbird-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532178/USEEIOv2.5-catbird-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-16",
      "references": [
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-catbird-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-17.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-18.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-19.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-20.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-21.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kingbird-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-kinglet-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-oriole-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-waxwing-22.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-17.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-18.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-19.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-20.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-21.yml",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5-yellowthroat-22.yml"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/blob/v1.7.0/format_specs/Model.md"
      },
      "accessRights": "public"
    },
    {
      "title": "SUDDEN_modifiers",
      "description": "Dataset is linked information on sudden death in Wake County NC with air pollution concentrations from central site monitor. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: SUDDEN data can be requested through the UNC PI, Dr. Ross Simpson. Air pollution data can be accessed through the AQS data mart. Greenspace metrics can be acquired through the National Land Cover Land Use database. Format: Datasets are in csv and SAS formats. \n\nThis dataset is associated with the following publication:\nRappazzo, K., N. Egerstrom, J. Wu, A. Capone, G. Joodi, S. Keen, W. Cascio, and R. Simpson, Jr. Fine particulate matter-sudden death association modified by ventricular hypertrophy and inflammation: a case-crossover study.   Frontiers in Public Health. Frontiers, Lausanne,  SWITZERLAND, 12: 1367416, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531669",
      "keyword": [
        "effect measure modification",
        "air pollution",
        "non-chemical stressors",
        "Greenspace",
        "sudden death"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2023-08-21",
      "references": [
        "https://doi.org/10.3389/fpubh.2024.1367416",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148389"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Ozone formation Characterization Factors (CFs)",
      "description": "This includes the ozone formation characterization factors that were developed for TRACI 3. The base model was built with a more comprehensive set of substances found in the SAPRC model.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532158",
      "keyword": [
        "life cycle impact assessment methods"
      ],
      "contactPoint": {
        "fn": "Jane Bare",
        "hasEmail": "mailto:bare.jane@epa.gov"
      },
      "distribution": [
        {
          "title": "TRACI Ozone v01a.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532158/TRACI%20Ozone%20v01a.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023",
      "description": "These data represent an update to the dataset, \"State IO Two-Region Economic Input-Output Models for 50 U.S. States 2012-2017\" based on the methods described by Li et al. (2022).  They are an update to that dataset published with an expanded time series.\nThese models were produced with the stateior R package, v0.4.0. \nExcel files (50 in total) are provided for two region (State of Interest and Rest of U.S.) Make and Use tables for each U.S. State IO model for years 2012-2023.\nAdditional data files supporting this release including all intermediate and final products in native R format (.RDS) and can be opened directly in R software or through the stateior package. See the stateior github page for more details. https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/\nAll values are in current dollar years (e.g \"Make 2012\" is the Make table in 2012 USD in a given model).\nFor a description of the methods used and survey of results see the Addendum 1 on the EPA Science Inventory page for the original publication. \n\nPlease cite this dataset as: \nYoung, Ben, Julie Chen, Jorge Vendries, and Wesley Ingwersen. 2025. “StateIO v0.4.0 Two-Region Economic Input-Output Models for 50 U.S. States: 2012-2023.” Data.gov. https://doi.org/10.23719/1532211. \n\nThis dataset is associated with the following publication:\nLi, M., J. Ferreira, C.D. Court, D. Meyer, M. Li, and W.W. Ingwersen. StateIO - Open Source Economic Input-Output Models for the 50 States of the United States of America.   International Regional Science Review. SAGE Publications, THOUSAND OAKS, CA, USA, 46(4): 428-481, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532211",
      "keyword": [
        "state economic model",
        "input-output",
        "state GDP",
        "state industry output",
        "interstate trade",
        "regional science"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "WV-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/WV-RoUS_2R_Make_Use_2012-2023.xlsx",
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        },
        {
          "title": "WI-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/WI-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WA-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/WA-RoUS_2R_Make_Use_2012-2023.xlsx",
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        {
          "title": "VT-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/VT-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "title": "UT-RoUS_2R_Make_Use_2012-2023.xlsx",
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        {
          "title": "TX-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/TX-RoUS_2R_Make_Use_2012-2023.xlsx",
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        {
          "title": "SD-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/SD-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/SC-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "title": "RI-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/RI-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/PA-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "title": "OR-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/OR-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "title": "NY-RoUS_2R_Make_Use_2012-2023.xlsx",
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        {
          "title": "NJ-RoUS_Make_Use_2012-2023.xlsx",
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          "title": "NH-RoUS_Make_Use_2012-2023.xlsx",
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        },
        {
          "title": "NE-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/NE-RoUS_2R_Make_Use_2012-2023.xlsx",
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        },
        {
          "title": "ND-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/ND-RoUS_2R_Make_Use_2012-2023.xlsx",
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          "title": "MD-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/MD-RoUS_2R_Make_Use_2012-2023.xlsx",
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        {
          "title": "AR-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/AR-RoUS_2R_Make_Use_2012-2023.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AL-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/AL-RoUS_2R_Make_Use_2012-2023.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AK-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/AK-RoUS_2R_Make_Use_2012-2023.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WY-RoUS_2R_Make_Use_2012-2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532211/WY-RoUS_2R_Make_Use_2012-2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/index.html#stateio/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-21",
      "references": [
        "https://doi.org/10.1177/01600176221145874",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324549",
        "https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=CESER&dirEntryId=357990",
        "https://github.com/usepa/stateior"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/stateior/blob/0.4.0/format_specs/TwoRegionData.md"
      },
      "accessRights": "public"
    },
    {
      "title": "NC_birth_air_pollution_analysis",
      "description": "Dataset contains information on births in North Carolina during the study period, linked to air pollution concentrations during pregnancy. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Code files and data dictionaries can be requested from authors (rappazzo.kristen@epa.gov). \r\nBirth records can be requested through the North Carolina Department of Health and Human Services. Format: Data include csv, SAS, and R files containing information about births in North Carolina. \n\nThis dataset is associated with the following publication:\nKrajewski, A., T. Luben, J. Warren, and K. Rappazzo. Associations between weekly gestational exposure of fine particulate matter, ozone, and nitrogen dioxide and preterm birth in a North Carolina Birth Cohort, 2003-2015.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 7(6): e278, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530583",
      "keyword": [
        "preterm birth",
        "air pollution",
        "Children's Environmental Health",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2023-11-24",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000278",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11189686"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Wildfire smoke and respiratory Rx prolonged use in children ",
      "description": "Linked respiratory prescriptions for children, along with information on birth and MSA of birth, and smoke days  assigned through pregnancy. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Access to underlying health data may be purchased through MarketScan. Smoke data (Hazard Mapping System) is available through NOAA. Format: Data is in csv and R dataset formats. \n\nThis dataset is associated with the following publication:\nJardel, H., K. Rappazzo, T. Luben, C. Keeler, B. Staley, C. Ward-Caviness, C. O'Lenick, M. Rebuli, Y. Xi, M. Hernandez, A. Chelminski, i. jaspers, A. Rappold, and R. Dhingra. Gestational and postnatal exposure to wildfire smoke and prolonged use of respiratory medications in early life.   Environmental Research: Health. IOP Publishing, BRISTOL,  UK, 2: 045004, (2024).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531666",
      "keyword": [
        "Children's Environmental Health",
        "climate change",
        "claims data",
        "Wildfire smoke",
        "epidemiology",
        "repiratory medication use"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-12",
      "references": [
        "https://doi.org/10.1088/2752-5309/ad748c",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11389793"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "R6_Cl2_Burn_All_Dataset",
      "description": "Data for opportunistic pathogen detections and physicochemical parameters in drinking water. \n\nThis dataset is associated with the following publication:\nZhang, C., N. Sienkiewicz, I. Struewing, J. Mistry, H. Buse, Z. Hu, and J. Lu. Reconsider the burn: The transient effect of a chlorine burn on controlling opportunistic pathogens in a full-scale chloraminated engineered water system.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 933: 172690, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529279",
      "keyword": [
        "disinfectant residuals",
        "free chlorine",
        "chloramine",
        "nitrification",
        "legionella",
        "Mycobacterium"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "R6_Cl2_Burn_All_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529279/R6_Cl2_Burn_All_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-22",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2024.172690"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Data for Municipal Impact",
      "description": "PFAS Data for Municipal Impact from residential pump stations and septage. \n\nThis dataset is associated with the following publication:\nPenrose, M., J. Deighton, S.T. Glassmeyer, A. Brougham, S.M. Bessler, T. McKnight, and M. Ateia. Elevated PFAS Precursors in Septage and Residential Pump Stations.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 12(4): 454-460, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531912",
      "keyword": [
        "pump stations",
        "Precursors",
        "wastewater",
        "Septage",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS Data for Municipal Impact_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531912/PFAS%20Data%20for%20Municipal%20Impact_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-01",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c00246"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Description of DNA metabarcoding dataset for study of microbial community response to human and environmental factors in the San Juan Bay Estuary (SJBE), Puerto Rico, USA.",
      "description": "Amplicon sequence variants from enrichment cultures and non-enriched water samples generated with primer sets targeting the V4 region of the 16SrRNA\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532173",
      "keyword": [
        "estuarine environment",
        "waterborne pathogens",
        "fecal indicators",
        "tropical waters",
        "ASVs",
        "16S"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "SJBE_metabarcoding_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532173/SJBE_metabarcoding_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data description SJBE dataset_Molina.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532173/Data%20description%20SJBE%20dataset_Molina.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "DNA metabarcoding dataset for bacteria in Gulf coast recreational beaches",
      "description": "Amplicon sequence variants from enrichment cultures and non-enriched water samples generated with primer sets targeting the V4 region of the 16SrRNA.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532174",
      "keyword": [
        "subtropical beaches",
        "waterborne pathogens",
        "fecal indicators",
        "recreational beaches",
        "ASVs",
        "16S"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "Gulf_data_table_updated.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532174/Gulf_data_table_updated.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Gulf enriched metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532174/Gulf%20enriched%20metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data description Gulf study_Molina.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532174/Data%20description%20Gulf%20study_Molina.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combined river, stream, and lake sampling for optimizing fish eDNA collection",
      "description": "DNA metabarcoding data as raw DNA sequences from the DNA sequencing instrument along with spreadsheets of data generated from bioinformatic analyses of the raw data.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532175",
      "keyword": [
        "fish",
        "DNA metabarcoding",
        "eDNA",
        "biomonitoring"
      ],
      "contactPoint": {
        "fn": "Erik Pilgrim",
        "hasEmail": "mailto:pilgrim.erik@epa.gov"
      },
      "distribution": [
        {
          "title": "Data description_Pilgrim_combined_fish_eDNA2021-2025.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532175/Data%20description_Pilgrim_combined_fish_eDNA2021-2025.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2025eDNA-Fish-combined.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532175/2025eDNA-Fish-combined.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: Screening Causal Assessment of Brook Trout Occurrence and Road Runoff 20250218",
      "description": "Pedigree of all data and processing included in the manuscript.  Open zip file then access pedigree folder for file describing all other folders, links, and data dictionary\nItems:\nNOTES: Description of work and other worksheets.\nPedigree: Summary\tsource files used to create figures and tables.\nDataFiles: \tData files used in the R code for creating the figures and tables.\nDataDictionary: \tData file titles in all data files\nData:\tData file uploaded to Science Hub\nOutput:\tFiles generated from R scripts\nPlot:\t        Plots generated from R scripts and other software\nR_Scripts:\tClean R scripts used to analyze the data, generate figures and tables\nResult:\tTables generated from R scripts\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532028",
      "keyword": [
        "road density",
        "traffic",
        "brook trout",
        "Road Runoff",
        "Brown Trout",
        "Occurrence Model",
        "Freshwater Explorer",
        "StreamCat"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Pedigree 20250420 troutGAM.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532028/Pedigree%2020250420%20troutGAM.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Targeted and Nontargeted Measurements for PFAS in AHHS II Sampled Residential Media (2)",
      "description": "In this dataset, we present data on PFAS measured using nontargeted methods in American Healthy Homes Study (AHHS) II residential tap water. Residential drinking water samples were collected as part of the American Healthy Homes Survey (AHHS) II effort by HUD for surveillance of chemicals of concern. Previous analysis was conducted on the collected media to account for lead, but the stability of PFAS enables follow-up analysis even after lead processing. PFAS were analyzed in ~800 water samples using non-targeted analysis by mass spectrometry. Because the methods are nontargeted and thus performed without prior knowledge of the identity of the PFAS in the sample, values are reported as instrument response integrated areas. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data presented in this manuscript is available upon reasonable request by contacting the authors, but locations may be censored to protect confidentiality of study participants. Format: EPA’s Office of Research and Development (ORD) was not directly engaged in the collection of information from human subjects. HUD’s contractor, QuanTech, conducted the field study and collected tap water and house dust samples. QuanTech received IRB Approval CR00077983 for HUD OHHLHC - AHHS II, American Healthy Homes Survey (AHHS) II (Pro00019737). According to the requirements of EPA Order 1000.17 A (Policy and Procedures on Protection of Human Research Subjects) and EPA Regulation 40 CFR 26 (Protection of Human Subjects), it was determined that the EPA investigators were not engaged in human subjects research (HSR-001225). \n\nThis dataset is associated with the following publication:\nBoettger, J., N. Deluca, M. Zurek-Ost, K. Miller, C. Fuller, K. Bradham, P. Ashley, W. Friedman, E. Pinzer, D. Cox, G. Dewalt, K. Isaacs, E. Cohen-Hubal, and J. McCord. Emerging Per- and Polyfluoroalkyl Substances in Tap Water from the American Healthy Homes Survey II.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(5): 2686–2698, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532208",
      "keyword": [
        "PFAS",
        "NTA",
        "exposure",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "James McCord",
        "hasEmail": "mailto:mccord.james@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-19",
      "references": [
        "https://doi.org/10.1021/acs.est.4c08037",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823458"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Enterococcus Digital PCR Dataset",
      "description": "Dataset includes repeated measures of the National Institute of Standards and Technology Standard Reference Material 2917 (SRM 2917) using an Enterococcus digital PCR (dPCR) assay.  \n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532186",
      "keyword": [
        "digital PCR",
        "enterococcus",
        "Standard Reference Material",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Shanks_dPCR Dataset_FINAL_04152025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532186/Shanks_dPCR%20Dataset_FINAL_04152025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shanks_dPCR Dataset Description_FINAL_04142025.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532186/Shanks_dPCR%20Dataset%20Description_FINAL_04142025.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Longitudinal Microbial Source Tracking Dataset",
      "description": "Dataset describes measurements of host-associated qPCR genetic markers along with other water quality parameters and precipitation from samples collected at marine, estuary, and freshwater recreational sites.  Additional details provided in attached Dataset Description document.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532207",
      "keyword": [
        "recreational water",
        "Microbial Source Tracking",
        "qPCR",
        "Fecal Pollution"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Shanks_Longitudinal MST_FINAL_04142025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532207/Shanks_Longitudinal%20MST_FINAL_04142025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shanks_Longitudinal MST Data Description_FINAL_04152025.do.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532207/Shanks_Longitudinal%20MST%20Data%20Description_FINAL_04152025.do.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Urban Stormwater Microbial Source Tracking and Antibiotic Resistance Gene Dataset",
      "description": "Dataset includes water quality measurements from an urban stream and three municipal separate storm sewer system outfalls.  Additional details provided in attached Dataset Description document.\n\n“This research dataset has been reviewed in accordance with U.S. Environmental Protection Agency (U.S. EPA), Office of Research and Development, and approved for release. Mention of brand names or vendors does not constitute an endorsement of products or services by the U.S. EPA.”",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532181",
      "keyword": [
        "Antibiotic resistance gene",
        "qPCR",
        "human fecal pollution",
        "Microbial Source Tracking"
      ],
      "contactPoint": {
        "fn": "Orin Shanks",
        "hasEmail": "mailto:shanks.orin@epa.gov"
      },
      "distribution": [
        {
          "title": "Shanks_MST ARG DataSet_FINAL_04152025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532181/Shanks_MST%20ARG%20DataSet_FINAL_04152025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shanks_Data Description_FINAL_04152025.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532181/Shanks_Data%20Description_FINAL_04152025.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of species- and sex-specific PFAS pharmacokinetics in mice, rats, and non-human primates using a Bayesian hierarchical methodology dataset",
      "description": "This dataset is a collection of .csv's for extracted data from the literature, processing code, and final analysis for manuscript. This dataset is not publicly accessible because: This data is subject to change following peer review. It can be accessed through the following means: This data will be publicly accessible on github once the manuscript is accepted for publication. Format: This is the extracted data, code, and documentation for this manuscript. \n\nThis dataset is associated with the following publication:\nZurlinden, T., M. Dzierlenga, D. Kapraun, C. Ring, A. Bernstein, P. Schlosser, and V. Morozov. Estimation of species- and sex-specific PFAS pharmacokinetics in mice, rats, and non-human primates using a Bayesian hierarchical methodology.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 499: 117336, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531959",
      "keyword": [
        "toxicokinetics",
        "Bayesian",
        "modeling",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Todd Zurlinden",
        "hasEmail": "mailto:zurlinden.todd@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-28",
      "references": [
        "https://doi.org/10.1016/j.taap.2025.117336"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimated Emissions During Polymer Extrusion Processes for Modeling Research",
      "description": "This dataset is a collection of emissions data during extrusion processes used to support regression modeling research. The data were collected from various academic publications and patents. Since the case study involving the data was for demonstrative purposes, the dataset involves some approximations to complete all data fields. Users are encouraged to visit the associated journal article and individual sources to better understand if any parts or all of the data are fit for purpose. \n\nThis dataset is associated with the following publication:\nMeyer, D.E., R.L. Smith, E. Lanphear, S. Takkellapati, J.D. Chea, G.J. Ruiz-Mercado, M.A. Gonzalez, and W.M. Barrett. Regression tools for chemical release modeling: An additive manufacturing case study.   JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE. Taylor & Francis, Inc., Philadelphia, PA, USA, 22(5): 375-385, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529744",
      "keyword": [
        "emissions",
        "Additive Manufacturing"
      ],
      "contactPoint": {
        "fn": "David Meyer",
        "hasEmail": "mailto:meyer.david@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_EmissionsData_AMCaseStudy.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529744/EPA_EmissionsData_AMCaseStudy.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-09-28",
      "references": [
        "https://doi.org/10.1080/15459624.2024.2447320"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Social isolation exacerbates acute ozone inhalation induced pulmonary and systemic health outcomes",
      "description": "Excel file with individual sample data. \n\nThis dataset is associated with the following publication:\nHenriquez, A., S. Snow , T. Jackson, J. House, D. Alewel, M. Schladweiler, M. Valdez, D. Freeborn, C. Miller, R. Grindstaff, P. Kodavanti, and U. Kodavanti. Social isolation exacerbates acute ozone inhalation induced pulmonary and systemic health outcomes.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 457: 116295, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532114",
      "keyword": [
        "psychosocial stress",
        "stress",
        "air pollution",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub Henriquez Stress 2022-07-15- AH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532114/Science%20Hub%20Henriquez%20Stress%202022-07-15-%20AH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-12-15",
      "references": [
        "https://doi.org/10.1016/j.taap.2022.116295",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722630"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Adrenergic receptor subtypes differentially influence acrolein-induced ventilatory, vascular leakage, and inflammatory responses",
      "description": "Individual sample data for each figure in exscel file. \n\nThis dataset is associated with the following publication:\nAlewel, D., S. Gavett, K. Rentschler, M. Schladweiler, C. Miller, P. Evansky, T. Jackson, W. Williams, and U. Kodavanti. Adrenergic receptor subtypes differentially influence acrolein-induced ventilatory, vascular leakage, and inflammatory responses.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 498: 117303, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532115",
      "keyword": [
        "adrenergic receptors",
        "respiratory",
        "Catecholamines",
        "acrolein"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "WKYAR-DA2023_ScienceHub_1 7 25 DA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532115/WKYAR-DA2023_ScienceHub_1%207%2025%20DA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-07",
      "references": [
        "https://doi.org/10.1016/j.taap.2025.117303",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12011196"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estrogen and glucocorticoid receptors co-regulate acrolein-induced respiratory and systemic homeostatic stress responses",
      "description": "Excel file containing individual data points for all figures and tables in the manuscript.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532226",
      "keyword": [
        "estrogen",
        "Nitrogen and Co-pollutants",
        "glucocorticoids",
        "air pollution",
        "acrolein",
        "sex differences"
      ],
      "contactPoint": {
        "fn": "Urmila Kodavanti",
        "hasEmail": "mailto:kodavanti.urmila@epa.gov"
      },
      "distribution": [
        {
          "title": "WKYGR-DA2023_ScienceHub 3-27-25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532226/WKYGR-DA2023_ScienceHub%203-27-25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Kaldy-underlying data for application of NPI to tropical seagrasses",
      "description": "Seagrass biomass, percent N, percent phosphorus, isotope ratios, and NPI calculations, sediment nutrient data, water column nutrient data.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531725",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Puerto Rico",
        "Halophila stipulacea",
        "seagrass",
        "Halodule wrightii",
        "indicators",
        "Thalassia testudinum",
        "eutrophication",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Kaldy_NPI msc_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531725/Kaldy_NPI%20msc_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "N/A",
      "description": "NA. This dataset is not publicly accessible because: The data is not generated by EPA and the single figure contains the data. It can be accessed through the following means: Viewing the manuscript or reaching out to corresponding author. Format: The data is not generated by EPA.  Only one figure includes data and the data is clearly shown in a timeline format for illustrative purposes.. \n\nThis dataset is associated with the following publications:\nAchtemeier, R., K. Adeem, S. Kutzing, D. Lytle, B. Farrelly, and B. Kearney. Understanding the Success behind Newark, New Jersey’s Lead Service Line Removal Program. U.S. Environmental Protection Agency, Washington, DC, USA.\nTriantafyllidou, S., L. Wasserstrom, J. Nelson, D. Webb, C. Formal, E. Dore, and D. Lytle. Lead in synthetic and municipal drinking water varies by field versus laboratory analysis.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 891: e163873, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529614",
      "keyword": [
        "Water Utility",
        "Lead Service Line Removal Program",
        "City Government",
        "Public Health Emergency"
      ],
      "contactPoint": {
        "fn": "Darren Lytle",
        "hasEmail": "mailto:lytle.darren@epa.gov"
      },
      "distribution": [],
      "modified": "2023-09-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.163873",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11477562"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Halophila stipulacea data from Puerto Rico",
      "description": "Biomass, density, leaf area index and plant morphology characteristics as well as tissue C:N:P.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532176",
      "keyword": [
        "Invasive seagrass",
        "Puerto Rico",
        "ecosystem services",
        "Halophila stipulacea"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Finalized_data_Hstip PR msc.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532176/Finalized_data_Hstip%20PR%20msc.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2012-2022 State-Level Greenhouse Gas Emission Totals by Industry",
      "description": "These data are an update to 2012-2020 Greenhouse Gas National- and State-Level Emission Totals by Industry (https://doi.org/10.23719/1529805). Data for 2021 and 2022 are added and are aligned with the 2012-2022 National-Level Greenhouse Gas Emission Totals by Industry (https://doi.org/10.23719/1531141). The Excel file contains a sheet with these totals by state and sector and year for each year in the time series along with metadata. Links are provided to the datasets in parquet format as generated by FLOWSA. Supporting metadata for each dataset is provided in the links. \n\nThe primary emissions source was updated to use the EPA \"Inventory of U.S. Greenhouse Gas Emissions and Sinks by State\" 2024 report. The industry classifications were updated to use 2017 North American Industry Classification Codes. The code used to generate the datasets is available in the FLOWSA v2.0.5 tool (https://github.com/USEPA/flowsa/tree/v2.0.5). Values are given in total kilograms emitted for the given year, sector and location. Please see the related publication for more background information. https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=360507&Lab=CESER\n\nValidation:\nA supporting zip archive (GHG_by_Sector_and_State_2012-2022_validation.zip) is provided with results of various validation checks.\nFiles with the pattern 'GHG_XXXX_rel_state_flow_comparison.csv' where 'XXXX' is the data year show totals by gas in a given year summed across states from this dataset ('state' field) compared to previously published national totals by gas produced from the national totals by industry ('national' field) for the same year. 'comp' is a ratio of 'state':'national'. All other fields are the same as those found in the FLOWSA flow-by-sector data format.\nFiles with the pattern 'GHG_XXXX_rel_state_sector_comparison.csv' where 'XXXX' is the data year show the totals by gas by industry in a given year summed across states by gas and by industry compared to national totals by gas by industry by year. Fields have the same meaning as described above.\nAdditional validation and log files of the associated FLOWSA model runs can be found on the EPA Data Commons (https://dmap-data-commons-ord.s3.amazonaws.com/index.html#flowsa/FlowBySector/) where the parquet and metadata files reside and have the same file names but end in .log and _validation.log. Please read more in the FLOWSA documentation to understand these files. \n\nPreferred Citation:\nPlease cite this dataset as Young, Ben, Ingwersen, Wesley. 2025. 2012-2022 State-Level Greenhouse Gas Emission Totals by Industry. Data.gov. https://doi.org/10.23719/1532224. \n\nThis dataset is associated with the following publication:\nYoung, B., C. Birney, and W.W. Ingwersen. Dataset of 2012-2020 U.S. National- and State-Level Greenhouse Gas Emissions by Sector.   Data in Brief. Elsevier B.V., Amsterdam,  NETHERLANDS, 53: 110173, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532224",
      "keyword": [
        "GHGs",
        "FLOWSA",
        "sector attribution model",
        "greenhouse gas emissions",
        "environmental-economic accounts",
        "national totals by industry"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
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          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.5_5baf11c.parquet",
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        },
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          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2021_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2021_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2022_m1_v2.0.5_5baf11c.parquet",
          "accessURL": "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2022_m1_v2.0.5_5baf11c.parquet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GHGs_by_Sector_and_State_2012-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532224/GHGs_by_Sector_and_State_2012-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": [
        "https://doi.org/10.1016/j.dib.2024.110173",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10885542",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2012_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2013_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2014_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2015_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2016_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2017_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2018_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2019_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2020_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2021_m1_v2.0.5_5baf11c_metadata.json",
        "https://dmap-data-commons-ord.s3.amazonaws.com/flowsa/FlowBySector/GHG_state_2022_m1_v2.0.5_5baf11c_metadata.json",
        "https://doi.org/10.23719/1529805",
        "https://pasteur.epa.gov/uploads/10.23719/1532224/documents/GHG_by_Sector_and_State_2012-2022_validation.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Source Code - Characterizing Variability and Uncertainty for Parameter Subset Selection in PBPK Models",
      "description": " Source Code for the manuscript \"Characterizing Variability and Uncertainty for Parameter Subset Selection in PBPK Models\" -- This R code generates the results presented in this manuscript; the zip folder contains PBPK model files (for chloroform and DCM) and corresponding scripts to compile the models, generate human equivalent doses, and run sensitivity analysis.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532227",
      "keyword": [
        "modeling",
        "pbpk",
        "human health",
        "uncertainty quantification"
      ],
      "contactPoint": {
        "fn": "Celia Schacht",
        "hasEmail": "mailto:schacht.celia@epa.gov"
      },
      "distribution": [
        {
          "title": "sourceCode04212025_complete.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532227/sourceCode04212025_complete.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Embodied material flow and GHG emission factors for U.S. imports derived from the GLORIA model: 2017-2022",
      "description": "The dataset provides a set of Import Emission Factors (IEF) for USEEIO models developed using the GLORIA v059a model. The dataset accompanies Addendum 2 \"Import Greenhouse Gas Emission and Material Factors Derived from GLORIA\" to EPA report \"Estimating embodied environmental flows in international imports for the USEEIO Model\" (https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470). \n\nThe import factors (IFs) are provided for 15 material categories and 18 GHG categories at the BEA summary and detail levels of sector resolution as reflected in file names. They represents an average for U.S imports that is derived as a weighted average of the import factors from all world regions/countries, weighted by quantity of imports. The sector codes for the import factor use the BEA 2017 NAICS based schema used in input-output tables which is the schema used by the associated USEEIO models.  For example, US_summary_import_factors_gloria_2022_17sch.csv is a summary level IFs file. US_detail_import_factors_gloria_2022_17sch.csv is the detail level IEFs file. Concordance files are provided here that are used to map GLORIA commodities and countries to those used in USEEIO. The models are named according to an updated USEEIO naming scheme. See the supporting code on the USEEIO github site (link in references) for more details. \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532183",
      "keyword": [
        "embodied carbon",
        "USEEIO",
        "international trade",
        "Imports",
        "material flows"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "US_summary_import_factors_gloria_2022_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2022_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_summary_import_factors_gloria_2021_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2021_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_summary_import_factors_gloria_2020_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2020_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_summary_import_factors_gloria_2019_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2019_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_summary_import_factors_gloria_2018_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2018_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_summary_import_factors_gloria_2017_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_summary_import_factors_gloria_2017_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2022_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2022_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2021_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2021_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2020_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2020_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2019_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2019_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2018_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2018_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "US_detail_import_factors_gloria_2017_17sch.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532183/US_detail_import_factors_gloria_2017_17sch.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532183/documents/GLORIA_country_concordance.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532183/documents/GLORIA_to_useeio2_commodity_concordance.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532183/documents/gloria_mapping.csv"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/USEEIO/tree/USEEIOv2.5/import_emission_factors"
      },
      "accessRights": "public"
    },
    {
      "title": "2011 National Wetland Condition Assessment Diatom Dataset",
      "description": "2011 National Wetland Condition Assessment diatom species data and corresponding site information.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532177",
      "keyword": [
        "Taxonomic inconsistency",
        "Traits",
        "Cost-Effectiveness",
        "Ecological assessment",
        "Genus Taxonomy",
        "multimetric index"
      ],
      "contactPoint": {
        "fn": "Luisa Riato",
        "hasEmail": "mailto:riato.luisa@epa.gov"
      },
      "distribution": [
        {
          "title": "NWCA2011_estuarine_diatoms_longformat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532177/NWCA2011_estuarine_diatoms_longformat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NWCA2011_inland_diatoms_longformat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532177/NWCA2011_inland_diatoms_longformat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of Wildfire Exposures on Extracellular Vesicle Proteomics",
      "description": "This dataset provides information on the viability of organotypic approaches in evaluating extracellular vesicles (EVs) to investigate exposure-induced biomarkers and underlying mechanisms. Data include assessments of cell viability, cell permeability, EV imaging, EV count, EV size, and EV proteomics in the H441/IMR90 co culture model exposed to wildfire smoke condensates. All the column headings and other relevant definitions and information are included in the data sets, and match the relevant data in the study that will be published. \n\nThis dataset is associated with the following publication:\nVitucci, E., C. Carberry, A. Payton, L. Herring, A. Mordant, Y.H. Kim, M. Gilmour, S. McCullough, and J. Rager. Wildfire-relevant woodsmoke and extracellular vesicles (EVs): Alterations in EV proteomic signatures involved in extracellular matrix degradation\nand tissue injury in airway organotypic models.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 264(2): 120395, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532200",
      "keyword": [
        "wildfire",
        "extracellular vesicle",
        "organotypic model",
        "proteomic",
        "human alveolar epithelial cells"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/UVPE0L",
          "accessURL": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/UVPE0L",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-07",
      "references": [
        "https://doi.org/10.1016/j.envres.2024.120395",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694228"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Macrophage responses to ambient PM in a particle seasonality-specific manner",
      "description": "This dataset provides information on the season of particle collection, the polarization state of a given macrophage, the impacts on macrophage functions. \n\nThis dataset is associated with the following publication:\nSmyth, T., S. Brocke, Y.H. Kim, C. Christianson, K. Kovalcik, J. Pancras, M. Hays, W. Wu, Z. An, and i. Jaspers. Human Monocyte-Derived Macrophages Demonstrate Distinct Responses to Ambient Particulate Matter in a Polarization State- and Particle Seasonality-Specific Manner.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 38(1): 4c00291, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532201",
      "keyword": [
        "particulate matter (PM)",
        "inflammatory response",
        "in vitro",
        "phagocytosis"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/PYZJWV",
          "accessURL": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/PYZJWV",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/UNC-CEMALB/hMDMs-Demonstrate-Polarization-State-and-Particle-Seasonality-Specific-Responses-to-Ambient-PM",
          "accessURL": "https://github.com/UNC-CEMALB/hMDMs-Demonstrate-Polarization-State-and-Particle-Seasonality-Specific-Responses-to-Ambient-PM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-12",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.4c00291"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimating biotic integrity to capture existence value of freshwater ecosystems",
      "description": "Estimating the value of changes in water quality requires the definition of biophysical features that link changes in ecosystems to changes in social systems. Those linking features must be interpretable to people and serve as effective ecological indicators. This work defines a linking feature that is appropriate for capturing existence values in a forthcoming national stated preference survey of Clean Water Act regulations. Further, we modeled and spatially predicted this feature to account for the dependence of survey respondents’ preference on baseline aquatic conditions near them. We outline steps to provide insights on the mechanisms that will aid in forecasting changes in the linking feature in responses to candidate policy options.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532239",
      "keyword": [
        "streams",
        "Economic valuation",
        "biological condition",
        "RIVPACS",
        "random forest modeling",
        "lakes",
        "observed-to-expected taxonomic composition"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "streams_readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532239/streams_readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "lakes_readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532239/lakes_readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "lakes_predicted_oe_scores_hill_etal_2023_pnas.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532239/lakes_predicted_oe_scores_hill_etal_2023_pnas.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "streams_predicted_oe_scores_hill_etal_2023_pnas.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532239/streams_predicted_oe_scores_hill_etal_2023_pnas.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-12-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Kickapoo River Watershed LCA LCCA SnapPlus SWAT data",
      "description": "Kickapoo River Watershed LCA LCCA SnapPlus SWAT dataset",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532214",
      "keyword": [
        "Nutrient Compliance",
        "Water Quality Trading (WQT)",
        "Small Wastewater Treatment Systems",
        "Nonpoint Source Runoff",
        "LCA",
        "LCC",
        "nature-based solution"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "Kickapoo Appendix C - SWAT.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532214/Kickapoo%20Appendix%20C%20-%20SWAT.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kickapoo Appendix B - SnapPlus.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532214/Kickapoo%20Appendix%20B%20-%20SnapPlus.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Kickapoo Appendix A - General, LCA, LCCA.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532214/Kickapoo%20Appendix%20A%20-%20General%2C%20LCA%2C%20LCCA.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Database of congener-specific half-lives of polychlorinated biphenyls",
      "description": "Polychlorinated biphenyls (PCBs) are a group of 209 chemicals with varying chlorine substitutions that influence their absorption, distribution, metabolism, and excretion (ADME). These differences affect how PCBs behave in the body, including their lipophilicity, tissue distribution, and biological half-life. Humans and animals can absorb PCBs through inhalation, ingestion, or skin contact, with the compounds accumulating in fatty tissues and eliminating at variable rates—some over decades.\n\nPharmacokinetic (PK) models help estimate internal doses and assess health risks by accounting for species-specific ADME properties. However, modeling PCBs is challenging due to their persistence, bioaccumulation, and structural diversity. While PK models can support risk assessment and interspecies extrapolation, they require accurate data—particularly biological half-lives, which are unavailable for many congeners.\n\nThis study aims to compile half-life data for individual PCB congeners from the literature in support of future explorations of the use of Quantitative Structure Activity Relationship (QSAR) models to predict half-lives of unstudied congeners using structural features like chlorine substitution patterns, building on prior work.\n\nDatabase curation: The HERO PCBs project page (https://hero.epa.gov/hero/index.cfm/project/page/project_id/384) was searched using terms related to half-life or elimination. Studies retrieved by the literature search were screened to identify studies containing PCB congener half-life data. Select details from each relevant study were entered into the database (e.g., citation information, congener name and number, exposure context, population descriptors, biological matrix, and reported half-life).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532238",
      "keyword": [
        "elimination kinetics",
        "pbpk",
        "PCBs",
        "Half-Life"
      ],
      "contactPoint": {
        "fn": "Geniece Lehmann",
        "hasEmail": "mailto:lehmann.geniece@epa.gov"
      },
      "distribution": [
        {
          "title": "PCB Half-Lives Database.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532238/PCB%20Half-Lives%20Database.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associations between short-term exposure to PM2.5 and cardiomyocyte injury in myocardial infarction survivors in North Carolina",
      "description": "The data consists of a series of tables containing individual identifiers; countrywide high-resolution (1 km × 1 km) modeled PM2.5 from a model built by Harvard collaborators; daily concentrations of relative humidity (RH) and temperature; and troponin I measurements. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Data can be accessed with an approved IRB. Format: The data consists of a series of tables containing individual identifiers; countrywide high-resolution (1 km × 1 km) modeled PM2.5 from a model built by Harvard collaborators; daily concentrations of relative humidity (RH) and temperature; and troponin I measurements. \n\nThis dataset is associated with the following publication:\nWyatt, L., G. Kamat, J. Moyer, A. Weaver, D. Diazsanchez, R. Devlin, Q. Di, J. Schwartz, W. Cascio, and C. Ward-Caviness. Associations between short-term exposure to PM2.5 and cardiomyocyte injury in myocardial infarction survivors in North Carolina.   Open Heart. BMJ Publishing Group Ltd, London,  UK, 9: e001891, (2022).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532233",
      "keyword": [
        "particulate matter (PM)",
        "public health",
        "air pollution",
        "human health"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2022-06-23",
      "references": [
        "https://doi.org/10.1136/openhrt-2021-001891",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9234784"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Field emission image of wood smoke",
      "description": "Electron microscope image of wood smoke. \n\nThis dataset is associated with the following publication:\nAbzhanova, A., J. Berntsen, E. Pennington, L. Dailey, S. Masood, I. George, N. Warren, J. Martin, M. Hays, A. Ghio, J. Weinstein, Y.H. Kim, E. Puckett, and J. Samet. Monitoring Redox Stress in Human Airway Epithelial Cells Exposed to Woodsmoke at an Air-Liquid Interface.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 21: 14, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532039",
      "keyword": [
        "Scanning Electron Microscopy"
      ],
      "contactPoint": {
        "fn": "Jason Weinstein",
        "hasEmail": "mailto:weinstein.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "https://link.springer.com/article/10.1186/s12989-024-00575-9",
          "accessURL": "https://link.springer.com/article/10.1186/s12989-024-00575-9",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "12989_2024_575_MOESM1_ESM.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532039/12989_2024_575_MOESM1_ESM.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-02",
      "references": [
        "https://doi.org/10.1186/s12989-024-00575-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10921608"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "cleaned_emf_data_us",
      "description": "The database contains scenarios that were submitted for EMF 37 Deep Decarbonization Study. The data is presented for U.S. scenarios that reach net-zero emissions across the economy by midcentury. The tables and figures in the manuscript utilizes this dataset. \n\nThis dataset is associated with the following publication:\nKaplanakman, O., G. Boyd, M. Browning, K. Perl, S. Supekar, N. Victor, and E. Worrell. Is the Industrial Sector Hard to Decarbonize or Hard to Model? A comparative analysis of Industrial Modeling and Net Zero Carbon Dioxide Pathways.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100190, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531685",
      "keyword": [
        "Decarbonization",
        "carbon dioxide",
        "net zero",
        "climate change",
        "industrial emissions"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "cleaned_emf_data_usa.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531685/cleaned_emf_data_usa.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-29",
      "references": [
        "https://doi.org/10.1016/j.egycc.2025.100190"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CherryResearchStationFertilizationNH3Flux_20240715-20240718_3",
      "description": "This data set represents quantified emissions of NH3 following application of urea-based fertilizer to bare agricultural soil in the Coastal Plain region of North Carolina (NC Department of Agriculture, Cherry Research Station).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532179",
      "keyword": [
        "Ammonia Air-Surface Exchange",
        "Nitrogenous Fertilizer",
        "Agricultural Emission",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Steven Fulgham",
        "hasEmail": "mailto:fulgham.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "GoldsboroFertilizationFlux_20240715-20240718_3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532179/GoldsboroFertilizationFlux_20240715-20240718_3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salivary biomarkers of immune and neuroendocrine functions, demographic and behavioral data",
      "description": "This SAS dataset contains data on salivary concentrations of selected immune and neuroendocrine biomarkers, as well as socioeconomic and demographic data, self-reported health data, and behavioral data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This dataset is available upon request. Eligible researchers can contact study investigators Andrey Egorov (egorov.andrey@epa.gov) or Michael Nye (nye.michale@epa.gov). Format: This dataset contains demographic, socioeconomic, behavioral and stress data on residents of two communities in Denver, CO, as well as data on biomarker levels in saliva. \n\nThis dataset is associated with the following publication:\nEgorov, A., W. Xue, J. Kobylanski, M. Fuzawa, S. Griffin, T. Wade, and M. Nye. Pilot application of an inflammation and physiological dysregulation index based on noninvasive salivary biomarkers.   BMC Research Notes. BioMed Central Ltd, London,  UK, 18: 53, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532197",
      "keyword": [
        "Cumulative Risk",
        "health effects",
        "human health"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-16",
      "references": [
        "https://doi.org/10.1186/s13104-024-07056-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11796071"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters",
      "description": "The study results and data used and produced in this study are available through the Texas Data Repository at https://doi.org/10.18738/T8/A9X5ET (Srinivasan et al., 2023). The data also includes the necessary information to reproduce the figures and tables presented in the study. \n\nThis dataset is associated with the following publication:\nBawa, A., K. Mendoza, R. Srinivasan, F. O'Donncha, D. Smith, K. Wolfe, R. Parmar, J. Johnston, and J. Corona. Enhancing Hydrological Modeling of Ungauged Watersheds through Machine Learning and Physical Similarity-based Regionalization of Calibration Parameters.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   186: 106335, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531961",
      "keyword": [
        "SWAT",
        "calibration",
        "HAWQS",
        "streamflow",
        "PUB",
        "AI"
      ],
      "contactPoint": {
        "fn": "Rajbir Parmar",
        "hasEmail": "mailto:parmar.rajbir@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.18738/T8/A9X5ET",
          "accessURL": "https://doi.org/10.18738/T8/A9X5ET",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-01-05",
      "references": [
        "https://doi.org/10.1016/j.envsoft.2025.106335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset associated with Sustainable and Resilient Solid Waste Infrastructure Study conducted for Davenport, Iowa",
      "description": "This dataset includes outputs from MSW DST model to generate alternative waste management scenarios for Davenport IA. \n\nThis dataset is associated with the following publication:\nKaplanakman, P., K. Weitz, and S. Thorneloe-Howard. Sustainable and Resilient Solid Waste Infrastructure: Davenport, Iowa Case Study. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532247",
      "keyword": [
        "food waste",
        "resilience",
        "Waste Management",
        "air pollution",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "Davenport_Summary of Results_3Apr2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532247/Davenport_Summary%20of%20Results_3Apr2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Davenport_EPA600R22263.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532247/Davenport_EPA600R22263.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-09-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GLISSNet2021",
      "description": "Amplicon sequence variants from benthic and zooplankton samples generated using COI primers",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532171",
      "keyword": [
        "Great Lakes",
        "Non-native Species",
        "biodiversity",
        "DNA monitoring",
        "sentinel sites",
        "surveillance",
        "COI",
        "amplicon sequence variant"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Readme.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532171/Readme.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GL2021-metadata.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532171/GL2021-metadata.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532171/Data%20description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "AndersonLake_datasets",
      "description": "The data include sequences, qPCR, RT-qPCR, water nutrients and cyanotoxins.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532248",
      "keyword": [
        "dolichospermum",
        "Early warning system",
        "cyanobacteria",
        "anatoxin",
        "qPCR/RT-qPCR",
        "microcystin",
        "Microcystis"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Data description AndersonLake_datasets_Lu.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532248/Data%20description%20AndersonLake_datasets_Lu.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AndersonLake_datasets_vENV.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532248/AndersonLake_datasets_vENV.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Virulence and infectious assessment of a Campylobacter jejuni strain isolated from California gull ",
      "description": "Genome sequence, PCR clone sequences and qPCR data, culture data",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530324",
      "keyword": [
        "Campylobacter jejuni 63A",
        "infectivity",
        "host specificity",
        "virulence",
        "Waterfowl",
        "genome",
        "Clone",
        "culture"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "63A dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530324/63A%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "0022-09-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Molecular detection of Coccidioides sp. spores in arid soils and UAS-enabled bioaerosol collection in the San Joaquin Valley, 2024",
      "description": "The goal of this study is to determine if there is an association between aerosolized particulate matter (PM) density, wind speed, temperature, humidity, soil-specific parameters, or other site-specific conditions and Coccidioides detection to better understand fungal spore dispersal within the San Joaquin Valley, CA. Soil and filter samples were concurrently collected using an uncrewed aircraft system (UAS) equipped with bioaerosol samplers flown synchronously at multiple heights. Samples were assessed for the presence of Coccidioides spores per the cocciENV assay (Bowers et al, 2019). Collection sites included Bakersfield, CA and surrounding Kern County (39 total), with 767 samples collected using an interrupted radial transect design.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532240",
      "keyword": [
        "disease",
        "valley fever",
        "climate change",
        "Coccidioides"
      ],
      "contactPoint": {
        "fn": "James Markwiese",
        "hasEmail": "mailto:markwiese.james@epa.gov"
      },
      "distribution": [
        {
          "title": "Markwiese_qPCR_coccidioides.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532240/Markwiese_qPCR_coccidioides.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Markwiese_qPCR_coccidioides_readme.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532240/Markwiese_qPCR_coccidioides_readme.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-16",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Growth metrics and bleaching indicators of coral and sediment-influenced water quality parameters - Data set",
      "description": "This data set includes metrics of growth pertaining to Atlantic corals (Montastraea cavernosa and Stephanocoenia intersepta) exposed to fine-grained, sediment. Data also include bleaching indicators and measurements of sediment-influenced water quality. \n\nThis dataset is associated with the following publication:\nHankins, C., D. White, K. Bahr, Y. Jones, A. Glahn, W. Lehmann, and B. Fisher. Effects of Dredging Induced Resuspension of Fine-Grain Sediment on Two Scleractinian Corals, Montastraea cavernosa and Stephanocoenia intersepta.   Journal of Coastal Zone Management. Walsh Medical Media, London,  UK, 27(6): 1000650, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530705",
      "keyword": [
        "turbidity",
        "Dredging",
        "photosysthetically active radiation",
        "suspended solids"
      ],
      "contactPoint": {
        "fn": "Cheryl Hankins",
        "hasEmail": "mailto:hankins.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "Tissue surface area.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/Tissue%20surface%20area.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Total Alkalinity.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/Total%20Alkalinity.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Water_Quality.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/Water_Quality.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PAR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/PAR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PAR NTU TSS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/PAR%20NTU%20TSS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NTU.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/NTU.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bleaching Indicators.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530705/Bleaching%20Indicators.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data",
      "description": "Datasets used to generate figures and sample runs in the SENTINEL application in the journal article \"SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data\". \n\nThis dataset is associated with the following publication:\nMacDonald, M., W. Champion, and E. Thoma. SENTINEL: A Shiny App for Processing and Analysis of Fenceline Sensor Data.   ENVIRONMENTAL MODELLING & SOFTWARE. Elsevier Science, New York, NY,   189: 0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531867",
      "keyword": [
        "shiny app",
        "air quality",
        "air pollution",
        "Air monitoring",
        "Data Set Analysis",
        "sensor"
      ],
      "contactPoint": {
        "fn": "Megan MacDonald",
        "hasEmail": "mailto:macdonald.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "SENTINEL_MacDonaldEtAl_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531867/SENTINEL_MacDonaldEtAl_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-31",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National and Sub-national US Climate Assessment Metadata V1 (through October 2023)",
      "description": "This spreadsheet contains data about climate assessments published in the United States, including the Fifth National Climate Assessment and sub-national reports published by states, territories, and the District of Columbia. It includes the results of a search for the most recent version of assessment reports published (up until Nov. 2023), content categories applied to assessment chapters, and whether chapters contain theory methods or data from the social sciences, author expertise, and a typology of producing organizations. \n\nThis dataset is associated with the following publication:\nMaxwell, K., M. Shacklette, E. Eisenhauer, A. Scheetz, E. Marino, and A. Zycherman. The social sciences in climate assessments in the United States.   CLIMATIC CHANGE. Springer, New York, NY, USA, 178(91): 1-20, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531030",
      "keyword": [
        "climate change",
        "climate assessment",
        "social sciences"
      ],
      "contactPoint": {
        "fn": "Keely Maxwell",
        "hasEmail": "mailto:maxwell.keely@epa.gov"
      },
      "distribution": [
        {
          "title": "National and Sub-national US Climate Assessment Social Science Incorporation. .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531030/National%20and%20Sub-national%20US%20Climate%20Assessment%20Social%20Science%20Incorporation.%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-04",
      "references": [
        "https://doi.org/10.1007/s10584-025-03906-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Repurposing Stormwater Models to Inform Radiological Protective Actions Dataset",
      "description": "Data associated with this publication includes stormwater model .inp and report files as well as GIS files for visualizing the results. The files are not allowed to be released due to a non-disclosure agreement with the stormwater utility. This dataset is not publicly accessible because: EPA cannot release CBI, or data protected by copyright, patent, or otherwise subject to trade secret restrictions. Request for access to CBI data may be directed to the dataset owner by an authorized person by contacting the party listed. It can be accessed through the following means: Please contact Anne Mikelonis at mikelonis.anne@epa.gov to determine the best path to gaining access to data. Format: This dataset includes pipe information protected by a non-disclosure agreement with the stormwater utility that is protected by a non-disclosure agreement outside of EPA. \n\nThis dataset is associated with the following publication:\nMikelonis, A., J. Shireman, C. Buahin, and K. Ratliff. Repurposing Stormwater Models to Inform Radiological Protective Actions: A Case Study Comparing Radiological Dispersal Device Events Across Two Combined Sewer Systems.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 492(138107): 1-11, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Confidential Business Information, NARA Category: Proprietary-Manufacturer"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531854",
      "keyword": [
        "radiological dispersal device",
        "SWMM",
        "stormwater",
        "Protective Action Guidelines",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-08",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2025.138107"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Long-term exposure to ambient O3 and PM2.5 is associated with reduced cognitive performance in young adults: A retrospective longitudinal repeated measures study in adults aged 18–90 years",
      "description": "The data consists of a series of tables containing individual identifiers; date and time of gameplay; game score; exposure data from publicly available air pollution data (PM2.5 and O3) from the EPA Data Mart; meteorological conditions (temperature and relative humidity) the National Centers for Environmental Information's Global Historical Climatology Network (NOAA); and 2010 US Census tract population data. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Please reach out to the corresponding author. Format: The data consists of a series of tables containing individual identifiers; date and time of gameplay; game score; exposure data from publicly available air pollution data (PM2.5 and O3) from the EPA Data Mart; meteorological conditions (temperature and relative humidity) the National Centers for Environmental Information's Global Historical Climatology Network (NOAA); and 2010 US Census tract population data. \n\nThis dataset is associated with the following publication:\nWyatt, L., S. Cleland, L. Wei, P. Naman, A. Patil, C. Ward-Caviness, S. Henderson, and A. Rappold. Long-term exposure to ambient O3 and PM2.5 is associated with reduced cognitive performance in young adults: A retrospective longitudinal repeated measures study in adults aged 18–90 years.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 320: 121085, (2023).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532243",
      "keyword": [
        "Ozone",
        "particulate matter (PM)",
        "air pollution",
        "human health"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [],
      "modified": "2023-03-01",
      "references": [
        "https://doi.org/10.1016/j.envpol.2023.121085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "NOAA ZCTA-level daily NC weather data (2009-2021)",
      "description": "This data contains daily, ZCTA-level records of five meteorological variables: mean temperature, maximum temperature, minimum temperature, relative humidity, and dewpoint. The geographic extent of the data is the state of North Carolina, and the data can be used in spatial analyses if it is joined with 2010-2019 ZCTA boundaries from the U.S. Census. The associated codebook describes each variable including its format, units, and range of values. \n\nThis dataset is associated with manuscript: \"Effects of Extreme Humidity and Heat on Ventricular Arrhythmia Risk in Patients With Cardiac Devices\" (DOI: 10.1016/j.jacadv.2024.101463). \n\nThis dataset is associated with the following publication:\nKeeler, C., S. Cleland, K. Hill, A. Mazzella, W. Cascio, A. Rappold, and L. Rosman. Effects of Extreme Humidity and Heat on Ventricular Arrhythmia Risk in Patients With Cardiac Devices.   JACC: Advances. Elsevier B.V., Amsterdam,  NETHERLANDS, 4(1): 101463, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532116",
      "keyword": [
        "Weather",
        "heat",
        "Humidity",
        "ZCTA"
      ],
      "contactPoint": {
        "fn": "Corinna Keeler",
        "hasEmail": "mailto:keeler.corinna@epa.gov"
      },
      "distribution": [
        {
          "title": "NOAA_DailyWeatherData_2009-2021.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532116/NOAA_DailyWeatherData_2009-2021.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "weather_data_codebook.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532116/weather_data_codebook.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-03-15",
      "references": [
        "https://doi.org/10.1016/j.jacadv.2024.101463",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699352"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and Code Availability for \"Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models\"",
      "description": "Data and code availability\n•The full proteomics mass spectrometry data were uploaded into the PRoteomics IDEntifications Database (PRIDE) and are publicly available as of the date of publication. (65) EV isolation methods and study logistics have been uploaded to the EV-Track knowledgebase (EV-TRACK ID: EV230971). (66) Cell viability, cell permeability, NTA, and proteomics data were also uploaded to the UNC Center for Environmental Medicine, Asthma and Lung Biology (UNC-CEMALB)-Dataverse. (67) The PRIDE project accession number, EV-TRACK ID, and accession link to UNC-CEMALB-Dataverse are listed in the key resources table.\n•Script used to analyze NTA and proteomics data were organized via the UNC-CEMALB Github website and is publicly available as of the date of publication. (68)\n•Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request. \n\nThis dataset is associated with the following publication:\nVitucci, E., C. Carberry, A. Payton, L. Herring, A. Mordant, S. McCullough, and J. Rager. Characterizing the Extracellular Vesicle Proteomic Landscape of the Human Airway using In vitro Organotypic Multi-Cellular Models.   iScience. Elsevier B.V., Amsterdam,  NETHERLANDS, 26(11): 108162, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532162",
      "keyword": [
        "inhalation",
        "in vitro",
        "respiratory",
        "NAMs",
        "extracellular vesicles",
        "alveolar"
      ],
      "contactPoint": {
        "fn": "Shaun McCullough",
        "hasEmail": "mailto:mccullough.shaun@epa.gov"
      },
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    {
      "title": "Data - Gallagher et al, Geologic history explains freshwater fish species richness across the conterminous USA",
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        {
          "title": "https://usepa.github.io/finsyncR/",
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          "accessURL": "https://github.com/USEPA/elevatr",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://booksite.elsevier.com/9780444534477/digital_maps.php",
          "accessURL": "https://booksite.elsevier.com/9780444534477/digital_maps.php",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://nas.er.usgs.gov/SEINED/",
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    {
      "title": "Burn pit smoke condensate-mediated toxicity in human nasal epithelial cells",
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    {
      "title": "GAC Regeneration using scCO2",
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        "fn": "Mohamed Ibrahim",
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          "title": "Data GAC 2025 Chemosphere.xlsx",
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    {
      "title": "MASKON Exposure System Particulate Matter Testing Summaries",
      "description": "These documents highlight the efficiency of the controlled exposure system developed for the MASKON study. These tests show the systems incredibly high capabilities for filtering particulate matter. ",
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      "title": "Exposure System Acceptance Test",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532219/MASKON%20Acceptance%20Test.pdf",
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    {
      "title": "MASKON Exposure System Volatile Organic Compound Testing",
      "description": "This series of documents describes the characterization of filtered wood smoke for volatile and semi-volatile organic compounds after passing through the MASKON CAPR filtration system. ",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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      "title": "Dataset for representing particulate nitrate photolysis over seawater improves CMAQ ozone predictions over the contiguous United States",
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    {
      "title": "U.S. 2017 emissions supporting non-allergic rhinitis publication by Yu et al. (version 1.0)",
      "description": "Emissions to air of select volatile organic compounds (VOCs) for the U.S. in 2017 by major source groups. Methods follow those from Pye et al. 2023 (https://doi.org/10.5194/acp-23-5043-2023). Species include: 1,3-butadiene, Acrolein (or 2-propenal), Acrylamide, Acrylonitrile, Ethylene oxide, Perchloroethylene (or Tetrachloroethylene), Propylene oxide, Styrene, Toluene, Vinyl chloride, and Xylenes (multiple isomers). Sources include: gasoline vehicles (on-road and non-road), chemical products, other area sources, fires (wildland, prescribed, agricultural, and others), other point sources, EGUs (Electric Generating Units), oil and gas, diesel vehicles (on-road and non-road), and residential wood combustion.\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531857",
      "keyword": [
        "Aromatic Hydrocarbons",
        "Xylenes",
        "VOCs",
        "emission sources"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "Pye_c20241028_vocemissionsbysource_2017US.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531857/Pye_c20241028_vocemissionsbysource_2017US.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Long-term Air Pollution, Infant Mortality Systematic Review",
      "description": "We conducted a systematic review/meta-analysis for epidemiologic evidence of the association between long-term criteria air pollution (nitrogen dioxide (NO2), sulfur dioxide (SO2), coarse particulate matter (PM10), fine particulate matter (PM2.5), ozone (O3), carbon monoxide (CO)) exposure and all-cause, respiratory, and sudden infant death syndrome (SIDS) infant mortality. \n\nThis dataset is associated with the following publications:\nWilkie, A., A. Krajewski, F. Njie, K. Park, S. Zelasky, K. Rappazzo, and T. Luben. Long-term exposure to criteria air pollutants and infant mortality: a systematic review and meta-analysis.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 267: 114587, (2025).\nLuben, T., A. Wilkie, A. Krajewski, F. Njie, K. Park, S. Zelasky, and K. Rappazzo. Systematic Review of Short-term Air Pollution Exposure and Infant Mortality. Presented at International Society for Environmental Epidemiology (ISEE) - North American Chapter, Corvallis, OR, USA, 06/19/2023 - 06/22/2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532270",
      "keyword": [
        "Children's Environmental Health",
        "Infant Mortality",
        "Long-Term Exposure",
        "air pollution",
        "meta-analysis",
        "systematic review",
        "SIDS"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hawc.epa.gov/assessment/100500254/",
          "accessURL": "https://hawc.epa.gov/assessment/100500254/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-03",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2025.114587",
        "https://pasteur.epa.gov/uploads/10.23719/1532270/documents/03_LT_AP_IM_SR_supp_material_initl_sub.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "OTM-50 Data from Air Pollution Controls at a Fluoropolymer Manufacturer, 2024",
      "description": "Other Test Method (OTM)-50 data for fluorinated volatile compounds in the emissions from air pollution controls at a fluoropolymer manufacturer. \n\nThis dataset is associated with the following publication:\nShields, E., W. Roberson, J. Ryan, and S. Jackson. The Use of Air Pollution Controls to Reduce the Gas-phase Emissions of Per- and Polyfluoroalkyl Substances from a Fluoropolymer Manufacturing Facility.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA,  0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531897",
      "keyword": [
        "HFPO-DA",
        "Pollution Control",
        "PFAS",
        "Thermal Oxidizer",
        "Carbon Adsorption"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.deq.nc.gov/news/key-issues/genx-investigation/air-quality-sampling",
          "accessURL": "https://www.deq.nc.gov/news/key-issues/genx-investigation/air-quality-sampling",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FW_VES_OTM-50data_2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531897/FW_VES_OTM-50data_2024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FW_VEN_OTM-50data_2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531897/FW_VEN_OTM-50data_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FW_TO_OTM-50data_2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531897/FW_TO_OTM-50data_2023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-10",
      "references": [
        "https://pubs.acs.org/doi/10.1021/acs.estlett.5c00402."
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARSCoV2 UVC Manuscript Data May 2025",
      "description": "Motivated by the COVID-19 pandemic, research was conducted to evaluate UVC radiation emitting devices that are potentially capable of inactivating SARS-CoV-2 on surfaces found in the built environment to augment chemical-based surface disinfection approaches. In this study, we evaluated the efficacy of a board-spectrum pulsed xenon light, a continuous UVC light-emitting diode (LED), and a Far UV light source against SARS-CoV-2. Experiments were conducted with the SARS-CoV-2 virus inoculated in either tissue culture media or simulated saliva onto porous and nonporous surfaces (three materials total). The dataset contains the log10 recoveries of SARS-CoV-2 (TCID50/sample) and calculated Log10 reductions for all tests.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532275",
      "keyword": [
        "ultraviolet applications",
        "disinfection",
        "Indoor outdoor decontamination",
        "COVID-19",
        "biological",
        "UVC"
      ],
      "contactPoint": {
        "fn": "Lukas Oudejans",
        "hasEmail": "mailto:oudejans.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "SARSCoV2 UVC Manuscript_Complete Data_May2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532275/SARSCoV2%20UVC%20Manuscript_Complete%20Data_May2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for rainfall washoff of malathion",
      "description": "This is a dataset of malathion washoff data from experiments performed using a rainfall simulator. Two types of malathion - a technical (off-the shelf insecticide) and an analytical grade - were used in this study. They were applied to either concrete or asphalt coupons and allowed to dwell on the surface for 1, 6, or 24 hours. Artificial rainfall was then applied at an intensity of 1 or 2.5 in/hour and rainfall runoff samples collected an analyzed for malathion over the course of an hour. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532274",
      "keyword": [
        "pesticides",
        "stormwater",
        "washoff",
        "malathion"
      ],
      "contactPoint": {
        "fn": "Anne Mikelonis",
        "hasEmail": "mailto:mikelonis.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Malathion Washoff Final Dataset_May12_2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532274/Malathion%20Washoff%20Final%20Dataset_May12_2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting the journal article, \"High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble\"",
      "description": "This dataset contains links to data supporting the journal article, \"High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble\". Note that all the data and code is also linked to from the journal article itself. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532280",
      "keyword": [
        "Projection and prediction",
        "Climate and Earth system modelling"
      ],
      "contactPoint": {
        "fn": "Marcus Sarofim",
        "hasEmail": "mailto:sarofim.marcus@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/chrisroadmap/rff-fair2.1",
          "accessURL": "https://github.com/chrisroadmap/rff-fair2.1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://github.com/erysimumcap/RCM_RCP8.5_Probability",
          "accessURL": "https://github.com/erysimumcap/RCM_RCP8.5_Probability",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://zenodo.org/record/7838148",
          "accessURL": "https://zenodo.org/record/7838148",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-18",
      "references": [
        "https://doi.org/10.1038/s41467-024-52437-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11411062"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Delatte Metals Permeable Reactive Barrier Data",
      "description": "The U.S. Environmental Protection Agency installed a permeable reactive barrier (PRB) at the Delatte Metals Superfund Site to treat groundwater contaminated with lead and other heavy metals at a former battery recycler in Ponchatoula, Louisiana. The Dataset contains field and laboratory data that resulted from that sampling. Samples for this project were collected from 2004 to 2018. \n\nThis dataset is associated with the following publication:\nLawrinenko, M., L. Rhea, J. Fields, and R. Wilkin. Long-term Field Study of a Permeable Reactive Barrier for Groundwater Clean-up at an Acid Battery Recycling Site.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 497: 139579, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532266",
      "keyword": [
        "Drinking water (Groundwater)",
        "lead",
        "arsenic",
        "Secondary Contaminants",
        "Montana Standard Reference Material 2710",
        "Permeable Reactive Barrier"
      ],
      "contactPoint": {
        "fn": "Richard Wilkin",
        "hasEmail": "mailto:wilkin.rick@epa.gov"
      },
      "distribution": [
        {
          "title": "Delatte Complete Data Set v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532266/Delatte%20Complete%20Data%20Set%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-08",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2025.139579"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.4697 30.2649, -90.2055 30.2649, -90.2055 30.4727, -90.4697 30.4727, -90.4697 30.2649))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532266/documents/Delatte%20Metals_Data%20Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "StreamCat - National Nutrient Inventory (StreamCatNNI)",
      "description": "Publication of EPA’s Nutrient Inventory is a critical step towards thorough mapping and accounting of sources of N and P to US landscapes. However, summaries of nutrients within accumulative watersheds are needed to develop accurate watershed-level nutrient budgets and relate landscape inputs to instream nutrient concentrations. This subproduct will accumulate the Nutrient Inventory across available years for all streams and lakes within the medium resolution National Hydrography Dataset Plus version 2 (NHDPlus), i.e., 2.6 million stream segments and nearly 400,000 lakes across the conterminous US. These data will allow OW to easily and rapidly identify the dominant sources of N or P for any stream segment or lake in the US. Further, these data will be made accessible through the EPA’s StreamCat and LakeCat datasets and a soon-to-be released online database and an application programming interface (API). This database and API will make nutrient watershed accumulations readily accessible and easily integrated by a variety of OW programs and tools. Finally, the accumulated nutrient data will serve as the basis for a multiple proposed StRAP subproducts and models in SSWR.401, SSWR.404, and SSWR.405. These data will contribute directly to OW, region, and state efforts to identify and reduce non-point nutrient sources.  Having spatially explicit data about nutrient sources and loads can help target and inform restoration and conservation efforts, as well as more formal TMDLs, nutrient reduction plans, and groundwater management approaches. This subproduct will produce a database of accumulated nutrient values for at least 2.6 million stream segments and 400,000 lakes of the medium resolution National Hydrography Dataset Plus version 2 (NHDPlus). These data will be made accessible through the StreamCat and LakeCat datasets. They will also be made available as an online database with application programming interface (API) that will facilitate data acquisition and use by OW and state partners. This database will provide a state-of-the science accounting of nutrient sources that drain to all streams and lakes in the conterminous US. It will allow EPA and state partners to identify dominant sources of N and P to individual waterbodies and will greatly facilitate nutrient reduction strategies and planning.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532282",
      "keyword": [
        "StreamCat",
        "Phosphorus and Nitrogen",
        "watersheds"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532282/documents/StreamCatNNI_readme.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "HABS-BLOCKS© inhibited cyanobacterial bloom development and reduced microcystin concentrations in a lake water mesocosm study",
      "description": "The datasets include:\n1. the measurements of glucose concentrations in each mesocosm,  \n2. the sonde measurements in each of the mesocosms at the beginning and end of the experiment, \n3.the quantities of the cyanobacteria measured by FlowCam at each week of the experiment,\n4. the microcystin concentrations in each mesocosm for the first 4 weeks of the experiment,\n5. the concentration of total nitrogen and phosphorous in the mesocosms at the beginning and end of the experiment. \n\nThis dataset is associated with the following publication:\nGastaldo, C., and S. Vesper. HABS-BLOCKS© Inhibited Microcystis and Planktothrix and Reduced Microcystin Concentrations in a Lake Water Mesocosm Study.   Microorganisms. MDPI, Basel,  SWITZERLAND, 13(5): 1074, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531994",
      "keyword": [
        "FlowCAM",
        "cyanobacteria",
        "HABS-BLOCKS",
        "glucose",
        "microcystin"
      ],
      "contactPoint": {
        "fn": "Stephen Vesper",
        "hasEmail": "mailto:vesper.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "HABS BLOCKS II SciHUB.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531994/HABS%20BLOCKS%20II%20SciHUB.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-22",
      "references": [
        "https://doi.org/10.3390/microorganisms13051074"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset from Bunker Hill sediments microcosm study",
      "description": "A laboratory-based microcosm study was conducted from September 2023 to July 2024 by the Office of Research (ORD) Cincinnati Lab (ORD-CESER-LRTD-CAISB).  QA Category B data was generated following established methodologies and quality-assurance procedures.  ORD clearance policy requirements for internal technical review, quality assurance review and supervisor reviewer/approval were met.  This data is to be published on ScienceHub following satisfaction of EPA ORD policies. No interpretation of the data is provided. The results of this study will be described in detail in a publication subjected to external, expert peer review. \n\nSediments, collected from the Lower Coeur d’Alene Basin (CDA) in the Bunker Hill Mining and Metallurgical Complex Superfund Site (Bunker Hill), were used in microcosms set up and monitored by ORD Cincinnati staff.  The study was designed to evaluate the impact of repeated wetting and drying cycles on sediment porewater metal concentrations in the Lower CDA.  Sediments were subjected to three wetting-drying cycles, and porewater was sampled throughout the duration of the experiment.  Two sediment types were subjected to two different treatments (Permanently wet vs wet/dry) with 3 replicates of each, yielding 12 total microcosms.  Each wetting-drying cycle lasted 30 days and was followed by 30 days of drying (Figure 1).  This data package summarizes sediment, sediment porewater and surface water results including total metal concentrations in sediment and sediment porewater, dissolved organic carbon (DOC) concentrations, dissolved iron and sulfide, UV absorbance at 254 nm, YSI measurements of porewater, sulfate concentrations, times series data of redox potential (Eh), and lead (Pb) speciation analysis of select samples.  See attached QA Memo detailing QA/QC procedures used for each parameter and a schematic of the microcosms.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532220",
      "keyword": [
        "lead",
        "Superfund",
        "heavy metals",
        "hydrology",
        "Floodplain",
        "Microcosm"
      ],
      "contactPoint": {
        "fn": "Anna Wade",
        "hasEmail": "mailto:wade.anna@epa.gov"
      },
      "distribution": [
        {
          "title": "Micrcosm study dataset 2023-2024.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532220/Micrcosm%20study%20dataset%202023-2024.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
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              {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure8b_dchp_rank_ipa_biofxn_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532124/Figure8b_dchp_rank_ipa_biofxn_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure8c_dchp_rank_ipa_upstream_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532124/Figure8c_dchp_rank_ipa_upstream_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure8a_dchp_rank_ipa_pathway_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532124/Figure8a_dchp_rank_ipa_pathway_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessment of Emerging Pathogens and Antibiotic Resistance Genes in the Biofilm of Microplastics Incubated Under a Wastewater Discharge Simulation",
      "description": "Selected bacterial, and antibiotic resistance genes sul and INTI1 concentrations by qPCR assays, and ASV tables of bacterial communities growing in biofilms incubated in river -and wastewater treatment plant effluent amended -river water. \n\nThis dataset is associated with the following publication:\nEytcheson, S., S. Brown, H. Wu, C. Nietch, P. Weaver, J. Darling, E. Pilgrim, T. Purucker, and M. Molina. Assessment of Emerging Pathogens and Antibiotic Resistance Genes in the Biofilm of Microplastics Incubated Under a Wastewater Discharge Simulation.   Environmental Microbiology. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 27(5): e70103, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531788",
      "keyword": [
        "pathogens",
        "microplastics",
        "wastewater treatment plants",
        "Antibiotic Resistance Genes",
        "ASV",
        "sul1",
        "IntI1"
      ],
      "contactPoint": {
        "fn": "Marirosa Molina",
        "hasEmail": "mailto:molina.marirosa@epa.gov"
      },
      "distribution": [
        {
          "title": "Microplastics_16s_asv_taxonomy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531788/Microplastics_16s_asv_taxonomy.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Microplastics_16S_metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531788/Microplastics_16S_metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "qPCRdata_replaced_logLOQ_values.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531788/qPCRdata_replaced_logLOQ_values.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-30",
      "references": [
        "https://pubmed.ncbi.nlm.nih.gov/40345167/"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"Updated in-cloud secondary aerosol production in the Northern Hemisphere predicted by the Community Multiscale Air Quality modeling system\"",
      "description": "Data and CMAQ code associated with manuscript, \"Updated in-cloud secondary aerosol production in the\nNorthern Hemisphere predicted by the Community Multiscale Air Quality modeling system \". \n\nThis dataset is associated with the following publication:\nFahey, K., N. Sareen, A.M. Carlton, and B. Hutzell. Updated in-cloud secondary aerosol production in the Northern Hemisphere predicted by the Community Multiscale Air Quality modeling system.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(5): 1043–1059, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532132",
      "keyword": [
        "sulfate",
        "CMAQ",
        "aqueous chemistry",
        "particulate matter (PM)",
        "clouds",
        "oxalate"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "KMT2_FIGURE_DATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532132/KMT2_FIGURE_DATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "FIGS_1_4_5.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532132/FIGS_1_4_5.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary-032025.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532132/Data%20dictionary-032025.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BLD_KMT2.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532132/BLD_KMT2.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BLD_AQCHEM.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532132/BLD_AQCHEM.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-03",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.4c00370"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ShahSanjivkumar_HS.402.1.1.14 _Data-Metadata_Development of HTM_Manuscript-20250402",
      "description": "Since the national validation of the sponge-stick based method for detection of Bacillus anthracis spores in environmental samples, there have not been focused efforts to address the low throughput nature of the method, which processes only one sample at one time.  Sample processing remains a serious bottleneck for rapidly analyzing large numbers of samples expected from a biological warfare attack. Therefore, we developed a high-throughput method to simultaneously process multiple sponge-stick samples to be better prepared for rapid response and recovery after wide area anthrax incidents.  In this method, sponges are placed in 50 mL tubes containing 25 mL buffer and shaken to release spores, after which the buffer is recovered for analysis.  We determined that an additional rinse step, conducted in the same tubes with 10 mL buffer, further increased spore recovery from sponge-stick by approximately 10%. We determined that orbital shaking and multi-tube vortexing were both more effective than reciprocating shaking for recovering spores. We conducted simultaneous processing of up to 12 sponge-stick samples and demonstrated comparable spore recovery efficiencies to the traditional low-throughput stomacher-based method (approximately 60% recovery at 102-spore level and 75% recovery at 104-spore level for both methods in three replicate experiments, P > 0.05 for two-tailed T-tests for each experiment and spore level).  We also demonstrated that our high-throughput method could be integrated with Rapid Viability-Polymerase Chain Reaction (RV-PCR) analysis and could detect levels as low as 40 spores per sponge even when challenged by a PCR particulate contaminant. \n\nThis dataset is associated with the following publication:\nBrisson, V., S. Kane, and S. Shah. Development of a high-throughput method for processing sponge-stick samples to detect viable Bacillus anthracis spores.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 235: 107149, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532127",
      "keyword": [
        "emergency response",
        "Sample Processing",
        "anthrax",
        "high throughput",
        "Methods development"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript_Devlopment of HT Method for Processing-B anthracis Spores-20250401.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532127/Manuscript_Devlopment%20of%20HT%20Method%20for%20Processing-B%20anthracis%20Spores-20250401.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ShahSanjivkumar_HS.402.1.1.14 _Data-Metadata_Development of HTM_Manuscript-20250402.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532127/ShahSanjivkumar_HS.402.1.1.14%20_Data-Metadata_Development%20of%20HTM_Manuscript-20250402.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": [
        "https://doi.org/10.1016/j.mimet.2025.107149"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Narragansett Bay Fixed Site Monitoring Network data 2005-2019",
      "description": "These are the data hosted by Rhode Island Department of Environmental Management and are from a network of monitoring buoys in Narragansett Bay.  The dataset inlcudes high frequency measurements of pH, dissolved oxygen, temperature, salinity, and chlorophyll a. \n\nThis dataset is associated with the following publication:\nWang, H., D.L. Codiga, H. Stoffel, C. Oviatt, K. Huizenga, and J. Grear. Effect of nutrient reductions on dissolved oxygen and pH: a case study of Narragansett Bay.   Frontiers in Marine Science. Frontiers, Lausanne,  SWITZERLAND, 11: 1374873, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532023",
      "keyword": [
        "pH",
        "dissolved oxygen",
        "Hypoxia",
        "acidification",
        "restoration",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Jason Grear",
        "hasEmail": "mailto:grear.jason@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dem.ri.gov/environmental-protection-bureau/water-resources/research-monitoring/narraganset-bay-assessment-data",
          "accessURL": "https://dem.ri.gov/environmental-protection-bureau/water-resources/research-monitoring/narraganset-bay-assessment-data",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2020-12-31",
      "references": [
        "https://doi.org/10.3389/fmars.2024.1374873",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11960733"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality data for the manuscript Water column biogeochemistry in a tropical estuary ",
      "description": "Here we provide data from water samples that were collected twice monthly, from April 26, 2021 and April 25, 2024, from sixteen stations throughout the San Juan Bay Estuary, Puerto Rico. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532149",
      "keyword": [
        "estuary",
        "stable isotopes",
        "Nitrogen and Co-pollutants",
        "turbidity",
        "fecal indicator bacteria"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/15181650",
          "accessURL": "https://zenodo.org/records/15181650",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental information for: Three centuries of biogeochemical change in a temperate embayment as revealed by sediment core stable isotopes, radiometric dating, and historical ecology",
      "description": "This repository contains data for the manuscript “Three centuries of biogeochemical change in a temperate embayment as revealed by sediment core stable isotopes, radiometric dating, and historical ecology”, by Sawyer J. Balint, Morgan Schwartz, Andrew Gray, Tim Cranston, Robinson W. Fulweiler, Melissa Hagy, Rick McKinney, and Autumn Oczkowski. \n\nThis dataset is associated with the following publication:\nBalint, S.J., M. Schwartz, A. Gray, T. Cranston, R.W. Fulweiler, M. Ederington-Hagy, R. McKinney, and A. Oczkowski. Three centuries of biogeochemical change in a temperate embayment as revealed by sediment core stable isotopes, radiometric dating, and historical ecology.   MARINE ECOLOGY PROGRESS SERIES. Inter-Research, Luhe,  GERMANY, 757: 37-52, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532150",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Phosphorus and Nitrogen",
        "stable isotopes",
        "sediment",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/14577613",
          "accessURL": "https://zenodo.org/records/14577613",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-30",
      "references": [
        "https://doi.org/10.3354/meps14807"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 5. Upper Soldier Creek, KS predicted daily total phosphorus loads normalized for year of average precipitation adjusted for climate change (2021 – 2050) based on GISS-E2-H change scenario for RCP4.5 with optimized management solutions for 2014",
      "description": "Data underlying Figure 5. Upper Soldier Creek, KS predicted daily total phosphorus loads normalized for year of average precipitation adjusted for climate change (2021 – 2050) based on GISS-E2-H change scenario for RCP4.5 and implementation of least-cost optimized management solutions for 2014.  Target load of 1039.6 lb P/day is shown with dashed line to highlight projected exceedances.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532301",
      "keyword": [
        "best management practices",
        "optimization",
        "Decision support tool",
        "Kansas",
        "stormwater",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure4_forScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532301/Figure4_forScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figure 4. Upper Soldier Creek Climate Scenario Summary. RCP4.5 scenarios for total phosphorus loads for 2021-2050 time frame as compared to 2014 baseline.",
      "description": "Figure 4 data set. Upper Soldier Creek Climate Scenario Summary. RCP4.5 scenarios for 2021-2050 time frame as compared to 2014 baseline.  Simulations were run with an initial groundwater concentration of zero ppm TP except as indicated by * (0.04 ppm TP).  Annual total TP loads (lbs TP/year) and number of exceedances of annual daily load target (> 1039.6 lb TP/day) at mouth of Upper Soldier Creek are shown for each climate simulation.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532302",
      "keyword": [
        "best management practices",
        "optimization",
        "Decision support tool",
        "Kansas",
        "stormwater",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure3_forScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532302/Figure3_forScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Table 2. SWAT Model Calibration for Soldier Creek, Subbasins 1-7.  ",
      "description": "Table 2. SWAT Model Calibration for Soldier Creek, KS. Subbasins 1-7.  Variable_n refers to calibration results for subbasin n, from 1 (headwaters of Upper Soldier Creek) to 3 (mouth of Upper Soldier Creek) to 7 (Soldier Creek outlet).  NS = Nash-Sutcliffe coefficient, MSE = mean squared error, PBIAS = % bias, KGE = Kling-Gupta Efficiency.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532303",
      "keyword": [
        "best management practices",
        "optimization",
        "Decision support tool",
        "Kansas",
        "stormwater",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "Table2_forScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532303/Table2_forScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Mapping the value of commercial fishing and potential costs of offshore wind energy on the U.S. West Coast: Towards an assessment of resource use tradeoffs",
      "description": "Data for \"Mapping the value of commercial fishing and potential costs of offshore wind energy on the U.S. West Coast: Towards an assessment of resource use tradeoffs\". \n\nThis dataset is associated with the following publication:\nFeist, B.E., R. Griffin, J.F. Samhouri, L. Riekkola, A.O. Shelton, Y.A. Chen, K. Somers, K. Andrews, O.R. Liu, and J. Ise. Mapping the value of commercial fishing and potential costs of offshore wind energy on the U.S. West Coast: Towards an assessment of resource use tradeoffs.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 20(3): e0315319, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532251",
      "keyword": [
        "energy",
        "fish",
        "economics",
        "infrastructure"
      ],
      "contactPoint": {
        "fn": "Robert Griffin",
        "hasEmail": "mailto:griffin.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1371/journal.pone.0315319",
          "accessURL": "https://doi.org/10.1371/journal.pone.0315319",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-05-01",
      "references": [
        "https://doi.org/10.1371/journal.pone.0315319",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11884673"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "USEEIO v2.5.1 waxwing model",
      "description": "This dataset includes the USEEIO model \"USEEIO v2.5.1-waxwing-22\" in Excel format. This model replaces USEEIOv2.5-waxwing-22 from the USEEIO v2.5 models dataset, in which a bug was discovered rendering the greenhouse gas data incorrect. Therefore USEEIOv2.5-waxwing-22 is deprecated. The bug does not apply to any other USEEIO v2.5 models and therefore this release only includes a replacement for the one faulty model. This model was generated with useeior v1.7.1, using the model specification file \"USEEIOv2.5.1-waxwing-22.yml\" that is linked below. For more information on this model see the associated USEEIO v2.5 models dataset page and the associated EPA report. Links to these resources are provided below. \n\nPlease cite this dataset as \"Young, Ben, and Wesley Ingwersen. 2025.  USEEIO v2.5.1 waxwing model. Data.gov. https://doi.org/10.23719/1532304.\". \n\nThis dataset is associated with the following publication:\nIngwersen, W.W., J. Namovich, B. Young, and J. Vendries. Estimating embodied environmental flows in international imports for the USEEIO Model. U.S. Environmental Protection Agency, Washington, DC, USA, 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532304",
      "keyword": [
        "embodied carbon",
        "USEEIO",
        "international trade",
        "GLORIA"
      ],
      "contactPoint": {
        "fn": "Wesley Ingwersen",
        "hasEmail": "mailto:ingwersen.wesley@epa.gov"
      },
      "distribution": [
        {
          "title": "USEEIOv2.5.1-waxwing-22.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532304/USEEIOv2.5.1-waxwing-22.xlsx",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-23",
      "references": [
        "https://catalog.data.gov/dataset/useeio-v2-5-models",
        "https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=362470",
        "https://dmap-data-commons-ord.s3.amazonaws.com/useeior/USEEIOv2.5.1-waxwing-22.yml"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://github.com/USEPA/useeior/blob/v1.7.1/format_specs/Model.md"
      },
      "accessRights": "public"
    },
    {
      "title": "Powder Generated On-Demand PAA CSO Disinfection",
      "description": "The project entailed deployment of an on-site on-demand peracetic acid (PAA) disinfectant pilot system at a combined sewer storage facility in Akron, OH (Akron Rack 40).  The pilot system was constructed and wet tested in Cincinnati, OH at EPA facilities and transported via trailer to the Akron site.  The system produced a dilute peracetic acid disinfection solution via reaction of two industrial detergent powders (TAED - Tetraacetylethylenediamine and SPC - Sodium percarbonate) in a water matrix.  The disinfectant was injected into a simulated combined sewer overflow (CSO) stream via mixing Little Cuyahoga River water with raw sewage drawn from the Akron sewer system.  Samples were drawn after 5-minute, 10-minute and 15-minute contact time to determine efficacy of the system at reducing pathogens as primarily determined through E. coli inactivation.  Sample sets from two trials were also analyzed for inactivation of Heterotrophic bacteria and Bacteriophage MS2 as surrogate for viral inactivation.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532293",
      "keyword": [
        "chemical risk",
        "Technology Development",
        "Urban Watersheds",
        "fecal indicator bacteria",
        "surface water",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Bruce Smith",
        "hasEmail": "mailto:smith.bruce@epa.gov"
      },
      "distribution": [
        {
          "title": "Akron Rack 40 On - Demand PAA Pilot July 2024 Public.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532293/Akron%20Rack%2040%20On%20-%20Demand%20PAA%20Pilot%20July%202024%20Public.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-19",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from \"Estimating power plant contributions to surface pollution in a wintertime Arctic environment\" ",
      "description": "This dataset is non-EPA-owned. Some of the analyses are based on previous use of CMAQ emissions and meteorological files for the ALPACA period.  The links to those ScienceHub entries are attached. Portions of this dataset are inaccessible because: Non-EPA-owned data by the first author. They can be accessed through the following means: Contact Natalie Brett (natalie.brett@latmos.ipsl.fr) or Steve Arnold (S.Arnold@leeds.ac.uk). Format: Analyses in this paper are based on model simulations (described in a previous paper) that used EPA data (netCDF files containing CMAQ emissions and meteorological inputs). See the associated links above which will be published upon publication of the associated manuscripts. \n\nThis dataset is associated with the following publication:\nBrett, N., S. Arnold, K. Law, J. Raut, T. Onishi, B. Barret, E. Dieudonné, M. Cesler-Maloney, W. Simpson, S. Bekki, J. Savarino, S. Albertin, R. Gilliam, K. Fahey, G. Pouliot, D. Huff, and B. D'Anna. Estimating Power Plant Contributions to Surface Pollution in a Wintertime Arctic Environment.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(5): 943-956, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531900",
      "keyword": [
        "ALPACA.",
        "power plant emissions",
        "Fairbanks",
        "winter pollution"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1531883",
          "accessURL": "https://doi.org/10.23719/1531883",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1531873",
          "accessURL": "https://doi.org/10.23719/1531873",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WRF_Output_Description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531900/WRF_Output_Description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data_dictionary_Emissions.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531900/Data_dictionary_Emissions.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-11",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00030",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12070414"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Land Cover Data: Lake Powell Backwaters, 2009-2021",
      "description": "This dataset contains spatial and tabular data documenting land cover and surface exposure ages along the Colorado and San Juan Rivers within the backwaters of Lake Powell Reservoir. Data were derived from aerial imagery collected as part of the USDA NAIP Program between 2009-2021, along with topobathymetric elevation data collected from Lake Powell Reservoir. For more information on the data contained here, please see \"0-README.txt\" within the attached .zip folder.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532312",
      "keyword": [
        "water resources",
        "colorado river",
        "dams and reservoirs",
        "drought"
      ],
      "contactPoint": {
        "fn": "Alan Kasprak",
        "hasEmail": "mailto:kasprak.alan@epa.gov"
      },
      "distribution": [
        {
          "title": "LakePowell-LandCoverData-2025.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532312/LakePowell-LandCoverData-2025.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ESR_Manuscript_Data",
      "description": "Development of band ratio from Sentinel-2 and SCHISM model input and output files. Portions of this dataset are inaccessible because: The file is 42GB and too large to be uploaded to ScienceHub or hosted in EDG. They can be accessed through the following means: Contact the Principal Investigator, Blake Schaeffer at schaeffer.blake@epa.gov. Format: Development of band ratio from Sentinel-2 and SCHISM model input and output files. \n\nThis dataset is associated with the following publication:\nLebrasse, M., B. Schaeffer, D.R. Bohnenstiehl, C.L. Osburn, M. Coffer, R. He, P. Whitman, W. Salls, and D. Graybill. Winter-Spring dynamics of dissolved organic carbon fluxes driven by precipitation in a North Carolina tidal marsh.   ESTUARINE, COASTAL AND SHELF SCIENCE. Elsevier Science Ltd, New York, NY, USA, 322: 109361, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526080",
      "keyword": [
        "numerical modeling",
        "dissolved organic carbon",
        "Blue Carbon",
        "tidal marshes",
        "sentinel-2"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "ESR Manuscript Data_v2_reducedsize.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1526080/ESR%20Manuscript%20Data_v2_reducedsize.zip",
          "mediaType": "application/x-zip-compressed",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-03-25",
      "references": [
        "https://doi.org/10.1016/j.ecss.2025.109361"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.5 CRACMM2 Predictions for Select Locations during 2023 in the U.S.: Northeast U.S. (v2.0)",
      "description": "2023 CMAQ Simulation output for select sites in the Northeast US\n- CMAQ simulations performed by Havala Pye ORD/CEMM/AESMD \n- simulation labels: cmaq55plus (base) and cmaq55plus_nofire (wildfire, agricultural fire, and prescribed fire emissions in US and outside US set to zero)\n- Description: CMAQv5.5+ public version downloaded 2/13/2025. (SHA: 783dc11668a83b9ec243c2cf7d20471ecd34dfae). Last Merge on 5.5 plus: Jan 31. Chemical mechanism: CRACMM2. Dry deposition: STAGE with Emerson et al. 2020 aerosol parameters. Vertical diffusion: acm. Windblown dust emissions: on. Sea spray emissions: on. Lightning NOx: on. Land surface model: PX. Bidirectional ammonia exchange: on. Fertilizer NH3 emissions: computed in-line. HONO production on ground surfaces: on. Gravitational settling of aerosols: on. Scale free trop O3 to potential vorticity: off. Biogenic emissions: BEIS in-line. Aerosol optics: approx of Mie Theory for internally homogeneous particle. WRF v4.6.0. BCON: GEOSCF mapped to cracmm2. Solver: EBI. Compiler: Intel 23.2. OMI file set to use 2019 data. Entire month of December 2022 (using representative days) discarded as spinup. HAP emissions are from explicit emission factors rather than VOC speciation.  Species definitions file for post processing concentrations updated 2/27/2025. Simulations and post-processing performed by Havala Pye.\n- Original file locations: /work/MOD3DEV/has/2023cracmm_ages/runs/\n\nFiles were created by the write site program distributed with CMAQ (https://github.com/USEPA/CMAQ/blob/main/POST/writesite/README.md). Species included are defined in terms of raw models species in SpecDef_Conc_cracmm2_v2.txt. The description of raw model species is at https://github.com/USEPA/CRACMM/blob/main/metadata/cracmm2/cracmm2_metadata.csv. Log files for the write site program are included as writesite*.txt. A jupyter notebook in ipynb and html format shows some of the data.\n\nPlease cite the following for CMAQ with CRACMM2:\nSkipper, T. N., D'Ambro, E. L., Wiser, F. C., McNeill, V. F., Schwantes, R. H., Henderson, B. H., Piletic, I. R., Baublitz, C. B., Bash, J. O., Whitehill, A. R., Valin, L. C., Mouat, A. P., Kaiser, J., Wolfe, G. M., St. Clair, J. M., Hanisco, T. F., Fried, A., Place, B. K., and Pye, H. O. T.: Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM), Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, 2024.\n\nDISCLAIMER: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532313",
      "keyword": [
        "pm2.5",
        "air quality",
        "CMAQ",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.13883210",
          "accessURL": "https://doi.org/10.5281/zenodo.13883210",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532313/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pye_c20250529_NE_cmaq55plus_cracmm2_2023_12US4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532313/Pye_c20250529_NE_cmaq55plus_cracmm2_2023_12US4.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Quantitative Metagenomics Benchmarking Experiment Data Set",
      "description": "To assess the variability of low-abundance oligonucleotide detection across sample matrices, we spiked DNA reference standards (meta sequins) into replicate wastewater DNA extracts at logarithmically decreasing mass-to-mass percentages (m/m%) and deeply sequenced them on the Illumina platform. This dataset summarizes the experimental conditions and results of the detection frequencies of those oligonucleotides as well as detailed descriptions of the DNA reference standards used. \n\nThis dataset is associated with the following publication:\nDavis, B., P. Vikesland, and A. Pruden. Evaluating Quantitative Metagenomics for Environmental Monitoring of Antibiotic Resistance and Establishing Detection Limits.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(12): 6192-6202, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532315",
      "keyword": [
        "metagenomics",
        "Quantitative Accuracy",
        "Antimicrobial Resistance AMR",
        "ddPCR",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Benjamin Davis",
        "hasEmail": "mailto:davis.benjamin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c08284/suppl_file/es4c08284_si_001.pdf",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c08284/suppl_file/es4c08284_si_001.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c08284/suppl_file/es4c08284_si_002.xlsx",
          "accessURL": "https://pubs.acs.org/doi/suppl/10.1021/acs.est.4c08284/suppl_file/es4c08284_si_002.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-16",
      "references": [
        "https://doi.org/10.1021/acs.est.4c08284",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966778"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioactivity of the ubiquitous tire preservative 6PPD and degradant, 6PPD-quinone in fish and mammalian-based assays",
      "description": "The data set contains data for the following assays performed using 6PPD-quinone and/or 6PPD.  1) Larval fathead minnow transcriptomics; 2) larval fathead minnow EcoToxChips [6PPD-quinone only]; 3) zebrafish developmental and behavioral toxicity; 4) cell painting and cytotoxicity in the rainbow trout gill cell line, RTgill-W1; 5) acute and developmental neurotoxicity (DNT) assays in mammalian cells; 6) Attagene FACTORIAL assays with human hepatoma cells [6PPD-quinone only]; and 7) analytical assessment of 6PPD and 6PPD-quinone stability in RTgill-W1 and DNT assay media. \n\nThis dataset is associated with the following publication:\nJankowski, M., A. Carpenter, J. Harrill, D. Harris, B. Hill, R. Labiosa, S. Makarov, D. Martinovic-Weigelt, J. Nyffeler, S. Padilla, T. Shafer, M. Smeltz, and D. Villeneuve. Bioactivity of the ubiquitous tire preservative 6PPD and degradant, 6PPD-quinone in fish- and mammalian-based assays.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  204(2): 198-217, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531917",
      "keyword": [
        "Ambient Water",
        "chemicals",
        "New Approach Methods (Alternatives to Animal Testing)",
        "bioactivity",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/677ab279e4b0a7c65d3994d3",
          "accessURL": "https://clowder.edap-cluster.com/datasets/677ab279e4b0a7c65d3994d3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-10",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaf008",
        "https://pasteur.epa.gov/uploads/10.23719/1531917/documents/Jankowski%20et%20al_Data%20availability%20summary.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT input/output data files for Upper Rogue River, OR, 1998-2018 ",
      "description": "Input and output data files are included for a SWAT model developed for the Upper Rogue River, OR, USA.  The model was first developed using EPA HAWQSv1, then routing corrected for incorrect reservoirs, water inputs and withdrawals and reservoir outflows added, and finally calibrated for flow using SWAT-CUP.  The model files are archived in CUAHSI's HydroShare site which will (in the future) allow model instances to be run online if desired.  See link for more details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532309",
      "keyword": [
        "spatial stream network",
        "temperature model",
        "Rogue River",
        "SWAT model"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.hydroshare.org/resource/dbbde12cb19f4941a90cb511e91fb7e2/data/contents/SWATforUpperRogue1998_2018",
          "accessURL": "https://www.hydroshare.org/resource/dbbde12cb19f4941a90cb511e91fb7e2/data/contents/SWATforUpperRogue1998_2018",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://swat.tamu.edu/media/69296/swat-io-documentation-2012.pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "QUALITY ASSURANCE/QUALITY CONTROL MEASURES REPORTED IN PUBLICATIONS",
      "description": "As part of the Glassmeyer et al., (2023) review for the journal GeoHealth, the data from 84 journal articles was summarized.  One of the metrics captured in the summary was the different types of quality assurance/ quality control parameters mentioned in each paper (see Data Template tab).  The types of QA/QC parameters were: field blank, laboratory reagent blank, laboratory fortified blank (LFB- aka laboratory spike), laboratory fortified matrix sample (LFM- aka matrix spike) and duplicate sample.  Also logged was if no QA/QC was mentioned, and if it was a review paper that summarized multiple studies (and therefore had no independent QA/QC). This dataset is that QA/QC summary.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532325",
      "keyword": [
        "review",
        "duplicate",
        "Field Blank",
        "QA/QC"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "QAQC summary dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532325/QAQC%20summary%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salmon utilization of estuarine habitats in Oregon's Yaquina and Alsea Rivers.",
      "description": "The dataset Salmon Utilization of Estuarine Habitat contains tables holding information on a\ntelemetry study of salmonid smolt migration done in Oregon’s Yaquina and Alsea estuaries from\n2004 to 2007. A portion of this research has been published as Johnson et al. (2010).\nThe data are contained in an Access relational database, and it is recommended that the user view\nthe relationships in the database to understand its structure.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532322",
      "keyword": [
        "Salmon",
        "ecology",
        "ecosystem services",
        "streams",
        "mortality"
      ],
      "contactPoint": {
        "fn": "James Power",
        "hasEmail": "mailto:power.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Salmon telemetry.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532322/Salmon%20telemetry.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Information about the database Salmon Utilization of Estuarine Habitat.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532322/Information%20about%20the%20database%20Salmon%20Utilization%20of%20Estuarine%20Habitat.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NRSA2324 Nitrate Stable Isotope Ratios",
      "description": "Stable Isotope Ratios of Nitrate from the National Aquatic Resource Survey 2023 and 2024.  We analyzed 163 samples with nitrate concentrations above 2 mg-N/L for oxygen and nitrogen isotopes of nitrate.  We also include the water stable isotope values for those same samples. Metadata and QA data are provided in the spreadsheet. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532320",
      "keyword": [
        "NARS (National Aquatic Resource Survey)",
        "national rivers and streams assessment (NRSA)",
        "nitrogen stable isotopes"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "NRSA2324 Nitrate Isotopes-ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532320/NRSA2324%20Nitrate%20Isotopes-ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Dataset for selecting surrogates of emerging biothreat pathogens in laboratory research",
      "description": "Microsoft Excel-based, user-friendly dataset that allows researchers to quickly identify surrogate microorganisms to use in place of pathogenic microorganisms, in just-in-time research. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532283",
      "keyword": [
        "pathogens",
        "SARS-CoV-2",
        "biological agent",
        "just in time research",
        "tool"
      ],
      "contactPoint": {
        "fn": "Michael Calfee",
        "hasEmail": "mailto:calfee.worth@epa.gov"
      },
      "distribution": [
        {
          "title": "BSA Dataset_3-26-26.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532283/BSA%20Dataset_3-26-26.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-03-23",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532283/documents/B-SAFE%20Tool%20version%205-0.xlsx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532283/documents/JITT%20Surrogate%20Selection%20Data%20Dictionary_4-1-26.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "LIGHT MODULATES MORPHOLOGY MORE THAN TROPHIC AND PHYSIOLOGICAL DYNAMICS OF SIX CARIBBEAN CORALS",
      "description": "Supplementary and data for: Light modulates morphology more than trophic and physiological dynamics of six Caribbean corals\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532257",
      "keyword": [
        "nitrogen",
        "stable isotopes",
        "coral",
        "Energetic strategy",
        "trophic"
      ],
      "contactPoint": {
        "fn": "Morgan Schwartz",
        "hasEmail": "mailto:schwartz.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/taylor-lindsay/Pub-Light-Gradient-Energetics",
          "accessURL": "https://github.com/taylor-lindsay/Pub-Light-Gradient-Energetics",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TempO-seq and RNA-seq gene expression levels are highly correlated for most genes: A comparison using 39 human cell lines",
      "description": "Journal article published in PLOS One, Vol 20, Issue 5, e0320862, 2025; DOI: https://doi.org/10.1371/journal.pone.0320862; PMC12064016.\nThe datasets generated and analyzed during the current study are provided in Supplemental S1 File. The RNA-seq data is Protein Atlas Version 23 from the Human Protein Atlas website (https://www.proteinatlas.org/about/download, “RNA HPA cell line gene data” released 2023.06.19). All FASTQ files and aligned counts for the U.S. EPA TempO-seq data have been deposited into NCBI Gene Expression Omnibus under the accession number GSE288929 and are publicly available at: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE288929. The R code is available through FigShare at: https://doi.org/10.23645/epacomptox.27341970.v1. \n\nThis dataset is associated with the following publication:\nWord, L., C. Willis, R. Judson, L. Everett, S. Davidson-Fritz, D. Haggard, B. Chambers, J. Rogers, J. Bundy, I. Shah, N. Sipes, and J. Harrill. TempO-seq and RNA-seq Gene Expression Levels are Highly Correlated for Most Genes: A Comparison Using 39 Human Cell Lines.   PLOS ONE. Public Library of Science, San Francisco, CA, USA, 20(5): e0320862, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532288",
      "keyword": [
        "RNA-Seq",
        "in vitro",
        "TempO-Seq",
        "gene expression"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=67225e95e4b0a7c65d3383bc",
          "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=67225e95e4b0a7c65d3383bc",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-30",
      "references": [
        "https://doi.org/10.1371/journal.pone.0320862",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12064016"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air quality data",
      "description": "AQS data is a publicly available dataset, which is part of this study. This data can be found on EPA website https://aqs.epa.gov/aqsweb/airdata/download_files.html (accessed on 1 April 2023). PA data is a 3rd party data and restrictions apply to the availability of these data. Data was obtained from Purple Air and are available from PurpleAir API https://community.purpleair.com/t/making-api-calls-with-the-purpleair-api/180 (accessed on 1 April 2023) with the permission of Purple Air. HMS smoke plume data is publicly available and can be downloaded at Office of Satellite and Product Operations website https://www.ospo.noaa.gov (accessed on 1 April 2023). The codes to download and analyze data in this paper is available at this GitHub repo https://github.com/hyang199723/PAFusion (uploaded on 30 June 2023). \n\nThis dataset is associated with the following publication:\nYang, H., S. Ruiz-Suarez, B. Reich, Y. Guan, and A. Rappold. A data fusion approach to assessing the contribution of wildland fire smoke to fine particulate matter in California.   Remote Sensing. MDPI, Basel,  SWITZERLAND, 15(17): 1, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532327",
      "keyword": [
        "climate change",
        "ambient air",
        "air pollution",
        "analytical method"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://aqs.epa.gov/aqsweb/airdata/download_files.html",
          "accessURL": "https://aqs.epa.gov/aqsweb/airdata/download_files.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://community.purpleair.com/t/making-api-calls-with-the-purpleair-api/180",
          "accessURL": "https://community.purpleair.com/t/making-api-calls-with-the-purpleair-api/180",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ospo.noaa.gov/",
          "accessURL": "https://www.ospo.noaa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-04",
      "references": [
        "https://doi.org/10.3390/rs15174246",
        "https://github.com/hyang199723/PAFusion"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.5 CRACMM2 Predictions for Select Locations during 2023 in the U.S.: Atlanta (v1)",
      "description": "2023 CMAQ Simulation output for South DeKalb \n- CMAQ simulations performed by Havala Pye ORD/CEMM/AESMD \n- simulation labels: cmaq55plus (base) and cmaq55plus_nofire (wildfire, agricultural fire, and prescribed fire emissions in US and outside US set to zero)\n- Description: CMAQv5.5+ public version downloaded 2/13/2025. (SHA: 783dc11668a83b9ec243c2cf7d20471ecd34dfae). Last Merge on 5.5 plus: Jan 31. Chemical mechanism: CRACMM2. Dry deposition: STAGE with Emerson et al. 2020 aerosol parameters. Vertical diffusion: acm. Windblown dust emissions: on. Sea spray emissions: on. Lightning NOx: on. Land surface model: PX. Bidirectional ammonia exchange: on. Fertilizer NH3 emissions: computed in-line. HONO production on ground surfaces: on. Gravitational settling of aerosols: on. Scale free trop O3 to potential vorticity: off. Biogenic emissions: BEIS in-line. Aerosol optics: approx of Mie Theory for internally homogeneous particle. WRF v4.6.0. BCON: GEOSCF mapped to cracmm2. Solver: EBI. Compiler: Intel 23.2. OMI file set to use 2019 data. Entire month of December 2022 (using representative days) discarded as spinup. HAP emissions are from explicit emission factors rather than VOC speciation.  Species definitions file for post processing concentrations updated 2/27/2025. Simulations and post-processing performed by Havala Pye.\n- Original file locations: /work/MOD3DEV/has/2023cracmm_ages/runs/\n\nFiles were created by the write site program distributed with CMAQ (https://github.com/USEPA/CMAQ/blob/main/POST/writesite/README.md). Species included are defined in terms of raw models species in SpecDef_Conc_cracmm2_v2.txt. The description of raw model species is at https://github.com/USEPA/CRACMM/blob/main/metadata/cracmm2/cracmm2_metadata.csv. Log files for the write site program are included as writesite*.txt. A jupyter notebook in ipynb and html format shows some of the data.\n\nPlease cite the following for CMAQ with CRACMM2:\nSkipper, T. N., D'Ambro, E. L., Wiser, F. C., McNeill, V. F., Schwantes, R. H., Henderson, B. H., Piletic, I. R., Baublitz, C. B., Bash, J. O., Whitehill, A. R., Valin, L. C., Mouat, A. P., Kaiser, J., Wolfe, G. M., St. Clair, J. M., Hanisco, T. F., Fried, A., Place, B. K., and Pye, H. O. T.: Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM), Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, 2024.\n\nDISCLAIMER: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532328",
      "keyword": [
        "Ozone",
        "CMAQ",
        "pm2.5",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.13883210",
          "accessURL": "https://doi.org/10.5281/zenodo.13883210",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532328/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pye_c20250605_GA_cmaq55plus_cracmm2_2023_12US4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532328/Pye_c20250605_GA_cmaq55plus_cracmm2_2023_12US4.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQv5.5 CRACMM2 Predictions for Select Locations during 2023 in the U.S.: Louisiana (v3)",
      "description": "2023 CMAQ Simulation output for select sites in Louisiana\n- Description: CMAQv5.5+ public version downloaded 2/13/2025. (SHA: 783dc11668a83b9ec243c2cf7d20471ecd34dfae). Last Merge on 5.5 plus: Jan 31. Chemical mechanism: CRACMM2. Dry deposition: STAGE with Emerson et al. 2020 aerosol parameters. Vertical diffusion: acm. Windblown dust emissions: on. Sea spray emissions: on. Lightning NOx: on. Land surface model: PX. Bidirectional ammonia exchange: on. Fertilizer NH3 emissions: computed in-line. HONO production on ground surfaces: on. Gravitational settling of aerosols: on. Scale free trop O3 to potential vorticity: off. Biogenic emissions: BEIS in-line. Aerosol optics: approx of Mie Theory for internally homogeneous particle. WRF v4.6.0. BCON: GEOSCF mapped to cracmm2. Solver: EBI. Compiler: Intel 23.2. OMI file set to use 2019 data. Entire month of December 2022 (using representative days) discarded as spinup. HAP emissions are from explicit emission factors rather than VOC speciation.  Species definitions file for post processing concentrations updated 2/27/2025. Simulations and post-processing performed by Havala Pye.\n- Original file locations: /work/MOD3DEV/has/2023cracmm_ages/runs/\n\nSpecies output in ppb included\n SPECIES_1 'ACETALDEHYDE'  \n SPECIES_2 'ACROLEIN'\n SPECIES_3 'BUTADIENE13' # 1,3-butadiene\n SPECIES_4 'BENZENE'  \n SPECIES_5 'FORMALDEHYDE'\n SPECIES_6 'TOLUENE'\n SPECIES_7 'ETHB'   # Ethylbenzene\n SPECIES_8 'STYRENE'\n SPECIES_9 'CO'     # carbon monoxide\n SPECIES_10 'MOH'   # methanol\n SPECIES_11 'MVK'   # methyl vinyl ketone\n SPECIES_12 'MACR'  # methacrolein\n SPECIES_13 'ISOP'  # isoprene\n\nFiles were created by the write site program distributed with CMAQ (https://github.com/USEPA/CMAQ/blob/main/POST/writesite/README.md). Species included are defined above. Log files for the write site program are included as writesite*.txt. A jupyter notebook in ipynb and html format shows some of the data.\n\nPlease cite the following for CMAQ with CRACMM2:\nSkipper, T. N., D'Ambro, E. L., Wiser, F. C., McNeill, V. F., Schwantes, R. H., Henderson, B. H., Piletic, I. R., Baublitz, C. B., Bash, J. O., Whitehill, A. R., Valin, L. C., Mouat, A. P., Kaiser, J., Wolfe, G. M., St. Clair, J. M., Hanisco, T. F., Fried, A., Place, B. K., and Pye, H. O. T.: Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM), Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, 2024.\n\nDISCLAIMER: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532316",
      "keyword": [
        "Ozone",
        "CMAQ",
        "pm2.5",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.13883210",
          "accessURL": "https://doi.org/10.5281/zenodo.13883210",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532316/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Pye_c20250602_LA_cmaq55plus_cracmm2_2023_12SU4.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532316/Pye_c20250602_LA_cmaq55plus_cracmm2_2023_12SU4.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Index of Watershed integrity (IWI) as an instrument of environmental governance of a microwatershed in the Central Mexican Plateau",
      "description": "Contains raw data and four calculated indexes (Index of Watershed Integrity, Index of Catchment Integrity, Environmental Water Quality Index, and Hydrogeomorphological Index) for the six subunits of the La Laborcilla Microwatershed in the Central Mexican Plateau. This dataset is not publicly accessible because: PI doesn't have access to the most up-to-date data; the Universidad Autonoma de Queretaro is the data steward. Interested parties should contact the author. It can be accessed through the following means: PI doesn't have access to the most up-to-date data, so interested parties should contact the author. Format: Data are stored in Excel spreadsheets. PI doesn't have access to the most up-to-date data, so interested parties should contact the author. \n\nThis dataset is associated with the following publication:\nSarmiento-Martinez, M., S. Leibowitz, M.L. Otte, R. Pineda-Lopez, D.P. Garcia-Tello, H. Luna-Soria, L.I. Medina Pacheco, E. Hernandez Perez, and V.H. Cambron-Sandoval. Index of Watershed Integrity (IWI) of a Central Mexican Plateau Microwatershed: An Instrument of Environmental Governance.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 61(3): e70028, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529961",
      "keyword": [
        "sustainability",
        "watershed management",
        "watershed integrity",
        "Index of Watershed Integrity",
        "Index of Catchment Integrity",
        "Environmental Water Quality Index",
        "Hydrogeomorphological Index",
        "La Laborcilla Microwatershed",
        "Mexico"
      ],
      "contactPoint": {
        "fn": "Scott Leibowitz",
        "hasEmail": "mailto:leibowitz.scott@epa.gov"
      },
      "distribution": [],
      "modified": "2023-12-18",
      "references": [
        "https://doi.org/10.1111/1752-1688.70028"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SWAT model input/output files for Upper Rogue R, OR 2040s predictions",
      "description": "This collection includes input and output data files from a SWAT model calibrated for the Upper Rogue River, OR, USA with predictions generated for the 2040s.  Files are archived in a model instance folder in CUAHSI's HydroShare site.  See link for more details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532310",
      "keyword": [
        "riparian zone management",
        "spatial stream network",
        "temperature model",
        "Rogue River",
        "SWAT model"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.hydroshare.org/resource/dbbde12cb19f4941a90cb511e91fb7e2/data/contents/SWATforUpperRogue2040s",
          "accessURL": "https://www.hydroshare.org/resource/dbbde12cb19f4941a90cb511e91fb7e2/data/contents/SWATforUpperRogue2040s",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://swat.tamu.edu/media/69296/swat-io-documentation-2012.pdf"
      },
      "accessRights": "public"
    },
    {
      "title": "Data from ex vivo Kainic acid proteomic studies: Hippocampus and Cortex proteomic results",
      "description": "Dataset includes whole proteome results following acute kainic acid exposure in adult Long Evans rats. Samples are ex vivo brain tissues, specifically the hippocampus, cortex, and cerebellum regions, collected at 3 or 24h after exposure following perfusion (samples stored at -80oC until proteomic analyses were performed). Using a modified SPEED protocol, proteomic results are assessed via LC-MS/MS and processed using Proteome Discoverer (performed to as previously described: Winnik, et al., 2023, J Proteome Res., doi: 10.1021/acs.jproteome.3c00172). Data are reported as dose response relationships (comparison of vehicle control to 3, 4.2, or 6 mg/mL kainic acid), time course effects (3h vs. 24h by dose group), as well as assessment of vehicle control compared to cage control groups, all for both regions examined. Data for hippocampus and cortex regions are presented as two separate analyses (1 & 2), with details noted in sample-filename files. Analysis 1 includes n=6/group for vehicle controls, cage control and 6 mg/mL Kainic acid; Analysis 2 includes n=4/group for vehicle controls, cage control and 6 mg/mL Kainic acid, n=10/group for 3 and 4.2 mg/mL kainic acid. The data for the cerebellar region is contained as a single analysis (n=10/group). ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532347",
      "keyword": [
        "proteomics",
        "Kainic acid",
        "neurotoxicity",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Emily Pitzer",
        "hasEmail": "mailto:pitzer.emily@epa.gov"
      },
      "distribution": [
        {
          "title": "KA2_Proteomics_ExVivo.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532347/KA2_Proteomics_ExVivo.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Triethyl Tin Data: Nerve Excitability, Body Weight, Functional Observational Battery, Histology, and raw Lipidomics data after single exposure to 0, 3, 4.4 or 6.5 mg/kg triethyl tin. ",
      "description": "Nerve Excitability, Body Weight, Functional Observational Battery, Histology, and raw Lipidomics data after single exposure to 0, 3, 4.4 or 6.5 mg/kg triethyl tin. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532318",
      "keyword": [
        "triethyl tin",
        "nerve excitability",
        "neurotoxicity",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/683de366e4b096bca883d533",
          "accessURL": "https://clowder.edap-cluster.com/datasets/683de366e4b096bca883d533",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532318/documents/Files_Directories_TET_Datasets.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532318/documents/Nerve_Excitability_Variable_Definitions.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "2020/2021 Narragansett Bay field survey",
      "description": "Unlike many estuaries, Narragansett Bay nutrient inputs are dominated by point sources. After a large fish kill in 2003, large management actions have been implemented to reduce nitrogen loads to 5 mg/l by implementing fixed film activated sludge treatment (on-line 2013 and 2014) and preventing combined sewage overflow by creating large interceptor tunnels (2008 = phase 1, 2014 = phase 2). These data were collected to assess conditions after these major management upgrades had been implemented.  With previously published data, it may be possible to assess change before, during and after sewage treatment upgrades. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532343",
      "keyword": [
        "Benthos",
        "invertebrates",
        "estuary",
        "sediments"
      ],
      "contactPoint": {
        "fn": "Marguerite Pelletier",
        "hasEmail": "mailto:pelletier.peg@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub_2020&21_Narr Bay field survey.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532343/Science%20Hub_2020%2621_Narr%20Bay%20field%20survey.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Salinity and Nutrient Submerged Aquatic Vegetation (SAV) Experiments",
      "description": "Healthy seagrass beds were once found throughout the shallow areas of Narragansett Bay, R.I. but have largely disappeared due to infilling, nutrient pollution, and disease. In Greenwich Bay, a highly developed embayment within Narragansett Bay, the widgeon grass, Ruppia maritima, has colonized an area on the northern shore once dominated by the eelgrass, Zostera marina. This area is sandy, which may allow groundwater seepage. This observation is consistent with our  understanding of Ruppia ecology. This genus is extremely salinity tolerant and may be more nutrient tolerant than Zostera. To experimentally explore this phenomena, two, 6-week microcosm experiments were conducted. For both experiments, shoots of sub-aquatic vegetation (SAV; Ruppia or Zostera) were planted in sediment in 10 cm plastic tubes. These tubes were placed in large flow-through water tanks outside on a dock to keep temperature consistent. experiments, shoots of SAV were planted in sediment in 10 cm plastic tubes. These tubes were placed in large flow-through water tanks outside on a dock to keep temperature consistent. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532342",
      "keyword": [
        "experiment",
        "seagrass",
        "salinity",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Marguerite Pelletier",
        "hasEmail": "mailto:pelletier.peg@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub_SAV Nuts&sal.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532342/Science%20Hub_SAV%20Nuts%26sal.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Develop relationship between the index of catchment integrity and NCCA estuarine response in low gradient coastal catchments. Relating coastal indices of catchment integrity to estuarine condition",
      "description": "This research spatially relates and evaluates indices of catchment integrity (ICI) and watershed integrity (IWI) with estuarine condition response data using National Coastal Condition Assessment (NCCA) data in low gradient coastal areas of the Virginian Province, which includes the coastal region of the Northeast United States from Cape Cod south to the mouth of Chesapeake Bay. Indices of watershed integrity (IWI) and ICI were previously derived using landscape stressor data from StreamCat (https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset) (Hill et al., 2016) and mapped for 2.6 million stream segments across the conterminous U.S. (Thornbrugh et al., 2018) The IWI characterizes the integrity of watersheds based on key watershed functions and the relative presence of landscape stressors that affect them (Flotemersch et al., 2016). The ICI uses landscape stressors in local drainages of individual stream segments to characterize the local influence and integrity of the catchment. Using GIS, the ICI and IWI were spatially related to the nearest NCCA sampling stations using rasters to obtain the best approximation of “across water” distance for each sample location (Figure 1). This research developing and analyzing spatially explicit stressor-response relationships with NCCA and ICI, IWI datasets extends the use of NARS data to support EPA regulatory program needs. This sub-product, SSWR 1.2.2.3, research is associated with the product, SSWR.1.2.2: Interpolation and stressor-response analyses that extend the use of NARS data to support regulatory program needs. This research is associated with the SSWR Watersheds Topic, and Research Area: Assessment, Monitoring, and Management of Aquatic Resources. Specifically, this research supports the SSWR Output 2: Extended Applications of NARS Data and Approaches to Support Priority Setting and Management Actions. \n\nThis dataset is associated with the following publication:\nKuhn-Hines, A., M. Charpentier, J. Copeland, and J. Hollister. Develop relationship between the index of catchment integrity and NCCA estuarine response in low gradient coastal catchments. Presented at Develop relationship between the index of catchment integrity and NCCA estuarine response in low gradient coastal catchments, NA, RI, USA, 09/08/2022 - 09/08/2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532298",
      "keyword": [
        "NARS",
        "NCCA",
        "Indices of watershed (IWI) and catchment integrity (ICI)",
        "estuarine condition",
        "Co-Pollutants",
        "Land management",
        "Ecological integrity",
        "Indicators and indices",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Anne Kuhn-Hines",
        "hasEmail": "mailto:kuhn.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "https://storymaps.arcgis.com/collections/c9596f62e10743319fadf8a70c2584bb",
          "accessURL": "https://storymaps.arcgis.com/collections/c9596f62e10743319fadf8a70c2584bb",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "lowgradient_ici_iwi_results.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/lowgradient_ici_iwi_results.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NCCA_ici_iwi_correlations.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/NCCA_ici_iwi_correlations.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NCCA_ici_iwi_correlations.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/NCCA_ici_iwi_correlations.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NCCA_ICI_IWI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/NCCA_ICI_IWI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ncca_ici_iwi.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/ncca_ici_iwi.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SSWR1.2.2.3_NCCA_ICI_IWI.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/SSWR1.2.2.3_NCCA_ICI_IWI.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Abstract_SSWR 1.2.2.3_NCAA_ICI_IWI_finalV3.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/Abstract_SSWR%201.2.2.3_NCAA_ICI_IWI_finalV3.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "variabledescription.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532298/variabledescription.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-08-29",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532298/documents/Abstract_SSWR%201.2.2.3_NCAA_ICI_IWI_finalV3.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1532298/documents/ORD%20Clearance%20Form_049366.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1532298/documents/ORD%20FY22%20SubProduct%20Template_SSWR1.2.2.3.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1532298/documents/SSWR1.2.2.3_NCCA_ICI_IWI.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hypersalinity Dispersion Effectiveness Dataset",
      "description": "Dispersion effectiveness data for petroleum oils in low and hypersaline waters. Chemical dispersant formulations typically provide maximum oil dispersion in waters between 30-40 ppt (parts per thousand) salt content, which encompasses typical 35 ppt ocean salinity. Ocean salinity can vary locally, from very low values due to freshwater river inflows or ice melt, to extremely high values during freeze up periods or within natural brine pools. In this study, the influence of salinity (0.2-125 ppt) on dispersion effectiveness (DE) was evaluated for three oils and four dispersants using the baffled flask test (BFT) and oil droplet size distribution (DSD) measures. Tank-scale dispersions support the laboratory-scale results of DSD. Light and medium crude oils were effectively dispersed over a wide salinity range using the BFT. However, dispersions exhibiting similar DE values possessed a wide range in DSD metrics, suggesting that the latter offers useful information for spill planning and understanding the transport and fate of spilled oil. \n\nThis dataset is associated with the following publication:\nConmy, R., D. Sundaravadivelu, B. Schaeffer, B. Robinson, T. King, and R. Grosser. Dispersion Effectiveness of Petroleum Oils in Low and Hypersaline Waters.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 215: 117913, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532137",
      "keyword": [
        "Petroleum Oil",
        "Dispersant"
      ],
      "contactPoint": {
        "fn": "Kiara Lech",
        "hasEmail": "mailto:lech.kiara@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub Dataset Conmy et al 2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532137/Sci%20Hub%20Dataset%20Conmy%20et%20al%202025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-04",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2025.117913"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The role of dorsal third ventricle α2 adrenergic antagonism or glucocorticoid antagonism in modulating the neuroendocrine stress response to acute ozone exposure ",
      "description": "Dorsal third ventricle infusions of the alpha 2 adrenergic receptor antagonist, mianserin- which increases brain concentrations of dopamine, serotonin, and acetylcholine, or the glucocorticoid receptor antagonist, mifepristone, were performed in male WKY rats prior to acute ozone exposure at 0.8 ppm for 4 hours. This experiment was designed to target hippocampal and hypothalamic neuromodulation to determine the role of indoleamines, monoamines, and glucocorticoids in mediating the systemic and pulmonary effects to ozone exposure.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532349",
      "keyword": [
        "Ozone",
        "air pollution",
        "glucocorticoids",
        "monoamines",
        "Catecholamines",
        "neuroendocrine stress axes",
        "pulmonary injury"
      ],
      "contactPoint": {
        "fn": "Katherine Rentschler",
        "hasEmail": "mailto:rentschler.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "WKYICV-KR2024 Science Hub Mianserin and Mife Manuscript Updated 6.9.25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532349/WKYICV-KR2024%20Science%20Hub%20Mianserin%20and%20Mife%20Manuscript%20Updated%206.9.25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "VMT reduction ratios from INRIX",
      "description": "daily time series of VMT reduction ratios from the INRIX Analytics big data assessment platform (https://inrix.com/covid-19-transportation-trends). This dataset is not publicly accessible because: Please contact Dr. Saravanan Arunachalam from UNC IE for more information. It can be accessed through the following means: Please contact Dr. Saravanan Arunachalam from UNC IE for more information. Format: Please contact Dr. Saravanan Arunachalam from UNC IE for more information. \n\nThis dataset is associated with the following publication:\nArter, C., J. Buonocore, V. Isakov, G. Pandey, and S. Arunachalam. Air pollution benefits from reduced on-road activity due to COVID-19 in the U.S..   PNAS Nexus. Oxford University Press, OXFORD,  UK, 3(1): pgae017, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527753",
      "keyword": [
        "air quality",
        "emissions",
        "transportation",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Vladilen Isakov",
        "hasEmail": "mailto:isakov.vlad@epa.gov"
      },
      "distribution": [],
      "modified": "2022-07-20",
      "references": [
        "https://doi.org/10.1093/pnasnexus/pgae017",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10825624"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Isotopic and streamflow data link to the HJ Andrews Experimental Forest. ",
      "description": "A link to Water stable isotopes for streams and precipitation samples in the HJ Andrews Experimental Forest, 2014-2023\n https://doi.org/10.6073/pasta/f7bfbab3132ac23002d5df6e837a9d0e\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532358",
      "keyword": [
        "water stable isotope",
        "streamflow",
        "seasonality",
        "connectivity"
      ],
      "contactPoint": {
        "fn": "Jacqueline Brooks",
        "hasEmail": "mailto:brooks.reneej@epa.gov"
      },
      "distribution": [
        {
          "title": "https://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=HF028",
          "accessURL": "https://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=HF028",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Oregon's Yaquina estuary offshore dredge disposal infauna",
      "description": "The accompanying database contains the data associated with an EPA funded study of the effects\nof offshore dredge spoil disposal. Sites offshore of Oregon’s Yaquina Bay were sampled using\nbenthic box-core samplers. Species present in the samples were identified and enumerated.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532333",
      "keyword": [
        "Indicators and indices",
        "Dredging",
        "sediments",
        "biodiversity",
        "Statistics"
      ],
      "contactPoint": {
        "fn": "James Power",
        "hasEmail": "mailto:power.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Yaquina dredging infauna.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532333/Yaquina%20dredging%20infauna.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Yaquina dredging infauna Information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532333/Yaquina%20dredging%20infauna%20Information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estuarine tide channel utilization by fish in Oregon's Yaquina estuary",
      "description": "The database Estuarine Habitat Project contains tables holding information on fyke net and trawl\nsampling done in the Yaquina, Oregon estuary during 2008 to 2011.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532334",
      "keyword": [
        "Marsh",
        "fish",
        "habitat",
        "estuary"
      ],
      "contactPoint": {
        "fn": "James Power",
        "hasEmail": "mailto:power.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Yaquina Estuarine Habitat Project.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532334/Yaquina%20Estuarine%20Habitat%20Project.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Estuarine fish habitat data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532334/Estuarine%20fish%20habitat%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Profiling the Tox21 Compound Library for Their Inhibitory Effects on Cytochrome P450 Enzymes",
      "description": "Dataset for S. Sakamuru, et al., 'Profiling the Tox21 Compound Library for Their Inhibitory Effects on Cytochrome P450 Enzymes' published in Int'l Journal of Molecular Sciences, DOI https://doi.org/10.3390/ijms26114976\nThe screening data are available at https://tripod.nih.gov/pubdata/\nand in PubChem at https://pubchem.ncbi.nlm.nih.gov/ \n(PubChem Assay IDs for CYP assays are 1671199, 1671198, 1671197, 1671196, and 1671201\nand for Luciferase assay is 1224835).\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532363",
      "keyword": [
        "cytochrome P450",
        "quantitative high-throughput screening",
        "CYP inhibitors",
        "CYP1A2"
      ],
      "contactPoint": {
        "fn": "Steven Simmons",
        "hasEmail": "mailto:simmons.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubchem.ncbi.nlm.nih.gov/",
          "accessURL": "https://pubchem.ncbi.nlm.nih.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of the potential effects of three chemicals on the hypothalamic-pituitary-thyroid (HPT) and hypothalamic-pituitary-gonadal (HPG) axes using the Larval Amphibian Growth and Development Assay (LAGDA) ",
      "description": "Three chemicals, 2-ethylhexyl 4-hydroxybenzoate (2-EHHB), 5-chloro-2-(2,4-dichlorophenoxy) phenol (triclosan), and 4-nonylphenol, branched (4-NP) were evaluated using the Larval Amphibian Growth and Development Assay (LAGDA) to investigate endocrine-mediated effects. A delay in development to NF stage 62 was observed for the three chemicals, however, histopathological evaluation revealed that the effects were likely not thyroid related. 4-NP caused increased stage scores in male and female gonadal duct development. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532344",
      "keyword": [
        "LAGDA",
        "Xenopus",
        "endocrine disruption",
        "2-Ethylhexyl 4-Hydroxybenzoate",
        "Triclosan",
        "amphibian",
        "4-nonylphenol"
      ],
      "contactPoint": {
        "fn": "Alaa Kamel",
        "hasEmail": "mailto:kamel.alaa@epa.gov"
      },
      "distribution": [
        {
          "title": "Larval Amphibian Growth and Development Assay (LAGDA) of Triclosan.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532344/Larval%20Amphibian%20Growth%20and%20Development%20Assay%20%28LAGDA%29%20of%20Triclosan.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Larval Amphibian Growth and Development Assay (LAGDA) of 4-nonylphenol.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532344/Larval%20Amphibian%20Growth%20and%20Development%20Assay%20%28LAGDA%29%20of%204-nonylphenol.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Larval Amphibian Growth and Development Assay (LAGDA) of 2-Ethylhexyl 4-Hydroxybenzoate .docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532344/Larval%20Amphibian%20Growth%20and%20Development%20Assay%20%28LAGDA%29%20of%202-Ethylhexyl%204-Hydroxybenzoate%20.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-09",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532344/documents/Supplemental%20Spreadsheet%20S1%20a-c.xlsx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phenotypic Profiling of 6PPD, 6PPD-Quinone, and Structurally Diverse Antiozonants in RTgill-W1 Cells Using the Cell Painting Assay",
      "description": "Methods S1–S2 detailing laboratory and data analysis methods; tables describing materials used (Table S1), assay wells excluded from analyses (Table S2), sourcing information for test chemicals (Table S3), cell culture media (Table S4) and assay reagents (Table S5), and descriptions and metadata for data files S1–S9 (PDF)\nFile S1 containing the 2D chemical structures for all antiozonant compounds tested in this study (PDF)\nFile S2 containing the list of features used for profile correlation analysis (XLSX)\nFile S3 containing graphs of each cell viability and Cell Painting concentration–response curve for all tested chemicals in the study (PDF)\nFile S4 containing the curve-fitting results for the cell viability assay (XLSX)\nFile S5 containing the curve-fitting results for the Cell Painting assay (XLSX)\nFile S6 containing a list of all features collected during Cell Painting and their metadata (XLSX)\nFile S7 containing the normalized well-level values for the Cell Painting assay (XLSX)\nFile S8 containing global Mahalanobis distance values for the Cell Painting assay, 1 per well (XLSX)\nFile S9 containing category Mahalanobis distance values for the Cell Painting assay, 49 per well (XLSX). \n\nThis dataset is associated with the following publication:\nHarris, F., M. Jankowski, D. Villeneuve, and J. Harrill. Phenotypic Profiling of 6PPD, 6PPD-quinone and Structurally Diverse Antiozonants in RTgill-W1 Cells Using the Cell Painting Assay.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 12(6): 695-701, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532365",
      "keyword": [
        "phenotypic profiling",
        "6PPD-quinone",
        "cell painting",
        "ecotoxicology",
        "in vitro toxicology",
        "rainbow trout"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "ez5c00327_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_002.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_002.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_003.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_003.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_004.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_004.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_006.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_006.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_007.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_007.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_008.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_008.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_009.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_009.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ez5c00327_si_010.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532365/ez5c00327_si_010.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-05",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c00327"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Landfilled Waste Composition Dataset version 1",
      "description": "The purpose of this dataset was to compile, in a single location, the landfilled solid waste quantity data from various state government reports, repositories, or databases. The development of the dataset has several motivating factors,  including to understand the amounts and types of wastes that are disposed in non-hazardous waste landfills and to understand the availability of these types of data across our United States.\nThis dataset only contains tonnages (i.e., weights or masses in U.S. tons) of disposed materials/wastes in as much detail as the State provides. It does not include amounts of wastes recycled, composted, incinerated, transferred, or generated. For instance, a landfill may receive ash that comes from the incineration of municipal solid waste (MSW; e.g., waste-to-energy ash). The amount of incinerated ash that is landfilled would be reported here but not the amount of waste the incinerator received. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532324",
      "keyword": [
        "Municipal Solid Waste",
        "Landfill",
        "construction and demolition debris",
        "Quantities"
      ],
      "contactPoint": {
        "fn": "Max Krause",
        "hasEmail": "mailto:krause.max@epa.gov"
      },
      "distribution": [
        {
          "title": "Landfilled Waste Composition Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532324/Landfilled%20Waste%20Composition%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532324/documents/Landfilled%20Waste%20Composition%20Readme.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in Figures 1-3 and Table 2",
      "description": "Data used to generate Figures 1-3 and Table 2 in the journal article entitled \"Evaluating the Laboratory Performance of Pellet-Fueled Semigasifier Cookstoves\"\nhttps://doi.org/10.1021/acs.est.4c10008\n\nFigure 1. Box and whisker plots (with jittered points by ISO test phase) of emission factors based on energy delivered (EFd) for particle pollutants (a) fine particulate matter (PM2.5), (b) ultrafine particles (UFP), (c) organic carbon (OC), and (d) elemental carbon (EC).\n\nFigure 2. Box and whisker plots (with jittered points by the ISO test phase) of emission factors based on energy delivered (EFd) for gaseous pollutants: (a) carbon monoxide (CO), (b) total hydrocarbons (THC), (c) methane (CH4), and (d) nitrogen oxides (NOx).\n\nFigure 3. Emission factors (based on energy delivered) of fine particulate matter (PM2.5) and carbon monoxide (CO) plotted against ISO Tiers for distinct test phases (i.e., power levels) and overall (i.e., mean of phase-averaged) results for all three stoves (a−c). Error bars represent the 90% confidence intervals in the mean. Mean values are also plotted from the literature (d) for lab (L), test kitchen (K), and field (F) studies, as\nsummarized in Tables S16 and S17.\n\nTable 1. Summary of Power Level Mean (i.e., Mean of All Stove/Fuel Combinations at a Given Power Level) and Standard Deviations (SD, Here Defined as Standard Deviations of All Stove/Fuel Combination Means at a Given Power Level) of Emission Factors Based on Energy Delivered (EFd) for All Pollutants Excluding Carbon Dioxide (CO2). \n\nThis dataset is associated with the following publication:\nChampion, W., G. Shen, C. Williams, L. Virtaranta, M. Barnes, C. Christianson, M. Hays, and J. Jetter. Evaluating the Laboratory Performance of Pellet-fueled Semi-gasifier Cookstoves.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 59(4): 0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531987",
      "keyword": [
        "air pollution",
        "biomass",
        "ISO 19867",
        "cookstove",
        "climate change",
        "Pellet Fuel",
        "household energy"
      ],
      "contactPoint": {
        "fn": "James Jetter",
        "hasEmail": "mailto:jetter.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Champion et al 2025 - Pellet Cookstoves - ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531987/Champion%20et%20al%202025%20-%20Pellet%20Cookstoves%20-%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-07",
      "references": [
        "https://doi.org/10.1021/acs.est.4c10008",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973569"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Non-EPA data associated with SUN Yisheng ES&T manuscript",
      "description": "Non-EPA data associated with Air Quality, Health, and Equity Benefits of Carbon Neutrality andClean Air Pathways in China. This dataset is not publicly accessible because: Data owned by Tsinghua University. It can be accessed through the following means: Contact Shuxiao Wang of Tsinghua University (shxwang@mail.tsinghua.edu.cn). Format: GCAM database, tables, and files associated with air quality simulations. \n\nThis dataset is associated with the following publication:\nSun, Y., Y. Jiang, J. Xing, Y. Ou, S. Wang, D. Loughlin, S. Yu, L. Ren, S. Li, Z. Dong, H. Zheng, B. Zhao, D. Ding, F. Zhang, H. Zhang, Q. Song, K. Liu, Z. Klimont, J. Woo, X. Lu, S. Li, and J. Hao. Air Quality, Health, and Equity Benefits of Carbon Neutrality and Clean Air Pathways in China.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(34): 15027-15037, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531758",
      "keyword": [
        "climate change",
        "China",
        "Nitrogen and Co-pollutants",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [],
      "modified": "2024-09-30",
      "references": [
        "https://doi.org/10.1021/acs.est.3c10076",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11814289"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CONTAMINANTS OF EMERGING CONCERN IN SAMPLES COLLECTED AT HOUSEHOLD ONSITE SEPTIC SYSTEMS DATASET",
      "description": "This dataset summarizes the concentrations of chemicals in the influent and effluent of six ndividual onsite septic systems as well as two decentralized systems.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532355",
      "keyword": [
        "PFAS",
        "wastewater treatment",
        "groundwater",
        "onsite septic systems"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "CECs in Household Septic Systems Dataset_rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532355/CECs%20in%20Household%20Septic%20Systems%20Dataset_rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CONTAMINANTS OF EMERGING CONCERN IN SAMPLES COLLECTED AT THE MASSACHUSETTS ALTERNATIVE SEPTIC SYSTEM TECHNOLOGY CENTER - Dataset",
      "description": "The dataset summarizes the results of sampling campaigns at the Massachusetts Alternative Septic System Technology Center. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532360",
      "keyword": [
        "wastewater treatment",
        "onsite septic system",
        "Pharmaceutical",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "CECs in MASSTC Septic Systems Dataset_rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532360/CECs%20in%20MASSTC%20Septic%20Systems%20Dataset_rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Generative COMET v0.0.0",
      "description": "The United States Environmental Protection Agency (US EPA) conducts extensive research to enhance the scientific foundation for national environmental decision-making. In this context, US EPA has developed COMET (City-based Optimization Model for Energy Technologies) to capture the whole energy system at the city level over a user-defined analyses timeline, from the extraction of primary resources to conversion into useful energy to meet end-use service demands. COMET accounts for the investment and operation costs, as well as greenhouse gas (GHG) emissions and other air pollutants, of alternative technology pathways meeting long-term energy demands in the buildings, transportation, and waste sectors. In this way, COMET enables users to explore, compare, and optimize energy technology solutions over the coming decades, especially for medium- and large-sized cities working to achieve energy optimization objectives and emissions reduction targets. Model results reveal how the energy system can be balanced under different scenarios and assumptions, as well as how system costs and emissions change with respect to those scenarios. With this information, city officials and their stakeholders working to pursue energy planning within their borders are positioned to make more informed policy and program decisions.\n\nAn open-source version of COMET designed for use by local planning, energy, or environmental agencies in any city is developed – will be called “Generative COMET”. The Generative COMET model incorporates innovative features that streamline the calibration process to align with official energy or GHG inventories, based on the level of detail available in city-level data. It provides cities with a versatile framework for analyzing energy and GHG emission scenarios, with different levels of data granularity and city-specific conditions. Its modular and adaptable structure enables cities of all sizes to explore customized strategies for meeting energy demands and achieving GHG reduction targets effectively. \n\nThis dataset is associated with the following publication:\nKaplan, O., K. Vaillancourt, M. Pied, R. Chaffanjon, F. Pedroli, D. Cooley, and N. Dietsch. Generative City-based Optimization Model for Energy Technologies: COMET Documentation and User Guide. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532263",
      "keyword": [
        "TIMES",
        "COMET",
        "energy",
        "energy systems model",
        "air pollution",
        "subnational model"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "COMET_Generative.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532263/COMET_Generative.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMET_Documentation_UserGuide_v1.4_508C.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532263/COMET_Documentation_UserGuide_v1.4_508C.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil health alterations with compost additions to natural and remediated heavy metal-contaminated mineland soils",
      "description": "Soil health data. This dataset is not publicly accessible because: Owned by primary author. It can be accessed through the following means: Contact primary author. Format: Data is excel spreadsheets. \n\nThis dataset is associated with the following publication:\nUmeobi, E., T. Ducey, M. Johnson, and J. Ippolito. Soil health alterations with compost additions to natural and remediated heavy metal-contaminated mineland soils.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg,  GERMANY,  s11356-025-36602-1, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532097",
      "keyword": [
        "Soil Health",
        "soil amendments",
        "Compost",
        "remediation"
      ],
      "contactPoint": {
        "fn": "Mark Johnson",
        "hasEmail": "mailto:johnson.markg@epa.gov"
      },
      "distribution": [],
      "modified": "2025-03-06",
      "references": [
        "https://doi.org/10.1007/s11356-025-36602-1"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating Transcriptomic and Targeted New Approach Methodologies into a Tiered Framework for Chemical Bioactivity Screening",
      "description": "Dataset for Jesse Rogers et al., 'Integrating Transcriptomic and Targeted New Approach Methodologies into a Tiered Framework for Chemical Bioactivity Screening' published in Environmental Health Perspectives, Vol 133, Issue 6, 067013, June 2025. DOI: https://doi.org/10.1289/EHP16024, PMC12165737\n\nR scripts for reproducing all analyses are available on Github (https://github.com/USEPA/CompTox-HTTr-RCAS). All sequencing data are available via the Gene Expression Omnibus repository (accessionnumbers GSE274318 for U-2 OS and GSE284321 for HepaRG). High-throughput screening assay data are available from InvitroDB via download 29 or the USEPA CompTox Chemicals Dashboard(https://comptox.epa.gov/dashboard/). \n\nThis dataset is associated with the following publication:\nRogers, J., J. Bundy, J. Harrill, R. Judson, K. Friedman, and L. Everett. Integrating Transcriptomic and Targeted New Approach Methodologies into a Tiered Framework for Chemical Bioactivity Screening.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 133(6): 067013, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532377",
      "keyword": [
        "new approach methodologies",
        "high-throughput transcriptomics",
        "Hazard Assessment",
        "chemical prioritization"
      ],
      "contactPoint": {
        "fn": "Logan Everett",
        "hasEmail": "mailto:everett.logan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CompTox-HTTr-RCAS",
          "accessURL": "https://github.com/USEPA/CompTox-HTTr-RCAS",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE274318",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE274318",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE284321",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE284321",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-25",
      "references": [
        "https://doi.org/10.1289/ehp16024",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165737"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fate of Contaminants of Emerging Concern and Potential for Human Exposure Resulting from De Facto Water Reuse Dataset",
      "description": "Dataset summarizes the results of a study to examine de facto reuse of contaminants of emerging concern",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532361",
      "keyword": [
        "drinking water",
        "Pharmaceutical",
        "DBP",
        "wastewater",
        "contaminants of emerging concern"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "CECs and De Facto Reuse dataset_rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532361/CECs%20and%20De%20Facto%20Reuse%20dataset_rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data_Analysis_Crop_Yield_N_Loss_FMS",
      "description": "the dataset includes: 1. EPIC_outputs are EPIC yearly output files from Rainfed/Irrigated corn grain simulations using 2006/2011 fertilizer management scenario for the simulation periods of 2002 to 2009 and 2010 to 2017 (e.g. CornGrainIrrig-2006FMS_yrs2002-09.csv: yearly output from 2002 to 2009 for Irrigated Corn grain using 2006 fertilizer management scenario; CornGrainRainfed-2011FMS_yrs2010-2017.csv: yearly output from 2010 to 2017 for Rainfed Corn grain using 2011 fertilizer management scenario); 2. \\EPIC_outputsAggregated are saved average annual EPIC output aggregated over entire CONUS or GRIDCELL used for GIS maps including Figures 4, 5 and 9 (e.g.  CONUS_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over CONUS  \nCONUS_GRIDCELL_2006FMS_AvgOf2003-2009.csv: average annual EPIC output using 2006 fertilizer management scenario for period from 2003 to 2009 and aggregated over  each CONUS GRIDCELL); 3.\\SummaryData_FromEPIC_for_Tables_Figs are saved summarized data for all the tables and Figs in Excel sheets. \n\nThis dataset is associated with the following publication:\nWang, X., Y. Yuan, V. Benson, and L. Ran. An Integrated Multi-Media Modeling System for Regional- to National-Scale Nitrogen and Crop Productivity Assessments.   Agriculture. MDPI, Basel,  SWITZERLAND, 15(10): 1017, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527820",
      "keyword": [
        "regional-to-national assessment",
        "integrated multi-media modeling system",
        "nitrogen loss",
        "crop yield",
        "fertilizer management scenario"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nass.usda.gov/AgCensus",
          "accessURL": "https://www.nass.usda.gov/AgCensus",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-06-03",
      "references": [
        "https://doi.org/10.3390/agriculture15101017"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Indoor Air Concentrations of Quartz Fiber Filter-Collected Ionic PFAS June 2024",
      "description": "Summary statistics of indoor and outdoor collected ionic PFAS where values have been mean\nfield blank subtracted. n.d. indicates non-detect and values with a “<” in front indicate that that PFAS was\ndetected but at concentrations below the MDL. Concentrations below the MDL were not adjusted. \n\nThis dataset is associated with the following publication:\nChang, N., C. Eichler, D. Amparo, J. Zhou, K. Baumann, E. Cohen-Hubal, J. Surratt, G. Morrison, and B. Turpin. Indoor air concentrations of PM2.5 quartz fiber filter-collected ionic PFAS and emissions to outdoor air: findings from the IPA campaign.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 27(6): 1603-1618, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532004",
      "keyword": [
        "PFAS",
        "indoor air",
        "Indoor chemistry",
        "Indoor Environment"
      ],
      "contactPoint": {
        "fn": "Elaine Cohen Hubal",
        "hasEmail": "mailto:cohenhubal.elaine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/d4/em/d4em00359d/d4em00359d1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/d4/em/d4em00359d/d4em00359d1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-06-03",
      "references": [
        "https://doi.org/10.1039/d4em00359d",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965442"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "COMET NYC v15.0.9 and v16.0.1 + background data",
      "description": "The City-based Optimization Model for Energy Technologies (COMET-NYC) is an energy system modeling tool developed by the U.S. Environmental Protection Agency. COMET is applied to New York City to support long-term, metropolitan-scale air, climate, and energy planning. Built on the internationally recognized TIMES modeling framework, COMET-NYC identifies the least-cost mix of technologies and fuels required to meet projected energy demands from 2010 to 2055 across NYC’s buildings, transportation, and electricity sectors.\nCOMET-NYC uses a scenario-based optimization approach to simulate the deployment of energy technologies under various assumptions, policies, and constraints. It incorporates local data sources to estimate and calibrate energy consumption and emissions at the borough level. It tracks both greenhouse gases (GHGs) and criteria air pollutants, supporting city-level climate and air quality policy evaluation.\nThe model includes detailed modules for the residential, commercial, industrial, and transportation sectors, accounting for current and future technology costs, fuel types, and efficiency parameters. It uses linear programming to minimize system-wide costs while meeting energy service demands and emissions targets. COMET-NYC supports both retrospective analysis (e.g., calibration to 2010, 2015, and 2020) and future scenario exploration, such as electrification strategies.\nTwo versions of the model are included in this dataset: v15.0.9, which underpinned emissions reduction planning during the 2023–2024 NYC budgeting cycle, and v16.0.1, which includes updated buildings data and improved calibration.\nThe documentation included various appendices for background data to build COMET-NYC. Appendix A through F are included in this dataset. Appendix A provides time slice documentation; Appendix B provides PLUTO 2010 data; Appendix C provides original 2014 building end-use demand splits for NYC; Appendix D provides EIA 2023 building technology data; APPENDIX E provides 2015 NYMTC SEDS population and employment forecasts; and APPENDIX F provides Documentation of Transportation Sector Emission Factors Updates and related input datasets for MOVES model. \n\nThis dataset is associated with the following publication:\nKaplan, O., Z. Carroll, M. Pied, R. Chaffanjon, and K. Vaillancourt. Documentation for application of City-based Optimization Model for Energy Technologies (COMET) to New York City to support metropolitan-scale air, climate, and energy planning. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532264",
      "keyword": [
        "modeling",
        "COMET",
        "air pollution",
        "energy",
        "City Planning"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix F - MOVES Input Files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20F%20-%20MOVES%20Input%20Files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix F - MOVES emission factors.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20F%20-%20MOVES%20emission%20factors.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix E - 2055 SED Forecasts for Population and Employment.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20E%20-%202055%20SED%20Forecasts%20for%20Population%20and%20Employment.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix D - EIA 2023 Building Tech Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20D%20-%20EIA%202023%20Building%20Tech%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix C - Original 2014 building end-use and fuel data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20C%20-%20Original%202014%20building%20end-use%20and%20fuel%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix B - PLUTO2010.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20B%20-%20PLUTO2010.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix A -Time Slice Memo.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20A%20-Time%20Slice%20Memo.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix A - time slices and end-use load shapes v16.1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20A%20-%20time%20slices%20and%20end-use%20load%20shapes%20v16.1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix A - time slices and end-use load shapes v15.0.9.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/Appendix%20A%20-%20time%20slices%20and%20end-use%20load%20shapes%20v15.0.9.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMET_NYC_v16.0.1_cleaned.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/COMET_NYC_v16.0.1_cleaned.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMET_NYC_v15.0.9_clean.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/COMET_NYC_v15.0.9_clean.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "COMET-NYC Documentation 20250506 v1.0_508 Compliant.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532264/COMET-NYC%20Documentation%2020250506%20v1.0_508%20Compliant.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EQUATES CMAQv5.3.2 CB6r5 High Resolution Deposition Data",
      "description": "These files contain gridded annual dry deposition estimates from 2002 to 2019 from the Environmental Protection Agency’s Community Multiscale Air Quality (CMAQ) model version 5.3.2 (see https://github.com/USEPA/CMAQ/tree/5.3.2) with the revised Surface Tiled Aerosol and Gaseous Exchange (STAGE) model (Appel et al., 2021) created for the EPA’s Air QUAlity TimE Series (EQUATES, https://www.epa.gov/cmaq/equates) project. These deposition fields have been downscaled from the native 12 km resolution to 300 m by mapping STAGE land use specific deposition to Moderate Resolution Imaging Spectrometer (MODIS) 17 category International Geosphere-Biosphere Programme (IGBP) classification scheme. For details on model inputs, please refer to the EPA’s EQUATES (https://www.epa.gov/cmaq/equates) project and Benish et al., 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532370",
      "keyword": [
        "nitrogen deposition",
        "Ozone Depletion",
        "sulfur deposition",
        "CMAQ",
        "EQUATES"
      ],
      "contactPoint": {
        "fn": "Kristen Foley",
        "hasEmail": "mailto:foley.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://land-use-specific-deposition.s3.amazonaws.com/index.html",
          "accessURL": "https://land-use-specific-deposition.s3.amazonaws.com/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-12",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532370/documents/EQUATES%20CMAQv5.3.2%20CB6r5%20High%20Resolution%20Deposition%20Data%20--%201_1_2002%20-%2012_31_2019%20300%20m%20CONUS%20-%20CMAS%20Data%20Warehouse.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Social Dimensions of EPA’s Environmental Cleanup Work: “Community Engagement Survey Dataset”",
      "description": "This dataset is comprised of survey responses from EPA staff regarding environmental cleanup activities. The survey asked participants about strategies EPA cleanup personnel use to get to know communities, build trust, and build stakeholder relationships. It also contains questions related to the respondent’s employment status and history with the EPA, their current role in environmental cleanup, and the type of cleanup, cleanup site, and contaminants with which they most commonly work. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532383",
      "keyword": [
        "community engagement",
        "Superfund",
        "Environmental remediation",
        "Cleanup",
        "trust",
        "CERCLA",
        "brownfields",
        "RCRA",
        "emergency response"
      ],
      "contactPoint": {
        "fn": "Brittany Kiessling",
        "hasEmail": "mailto:kiessling.brittany@epa.gov"
      },
      "distribution": [
        {
          "title": "CE Survey Dataset ScienceHub.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532383/CE%20Survey%20Dataset%20ScienceHub.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CE Survey Dataset Cover Letter edited ScienceHub.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532383/CE%20Survey%20Dataset%20Cover%20Letter%20edited%20ScienceHub.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lower Yaquina multiparameter water quality datasonde data set: January 2009 to April 2025",
      "description": "A Yellow Springs Inc. (YSI) multiparameter water quality datasonde (model numbers 6600 EDS, 6600 V2-4 or EXO2) was deployed off the Oregon State University (OSU) pump house dock or OSU Ship Ops dock at the following UTM, Zone 10 North coordinates: 4941737.6 North, 417258.8 East; 4941885.9 North, 417087.8 East, respectively. Temperature, salinity, depth, pH, dissolved oxygen, fluorescence, and turbidity data were collected from 22 January 2009 to 2 April 2025. The YSI sondes were replaced approximately monthly with newly calibrated instruments (calibrated following standard operating procedures) and were deployed at a fixed depth off the bottom. Upon retrieval, the sondes were returned to the laboratory where their performance was checked. A series of custom R scripts were used to post-process all data files. On the “ReadMe” tab is information which includes sonde model used through the deployment period, deployment depth (sonde height off the bottom), and comments related to specific deployment issues.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532337",
      "keyword": [
        "estuary",
        "dataset",
        "Oregon",
        "water quality"
      ],
      "contactPoint": {
        "fn": "T Chris Mochon Collura",
        "hasEmail": "mailto:mochoncollura.tchris@epa.gov"
      },
      "distribution": [
        {
          "title": "Mochon Collura-YSI Yaquina 2009_2025-dataset final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532337/Mochon%20Collura-YSI%20Yaquina%202009_2025-dataset%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS measured in multiple indoor media.  September 2024",
      "description": "Summary statistics for PFAS measured in tap water, glass slab wipes, and house dust.  Associated method and QC information. \n\nThis dataset is associated with the following publication:\nChang, N., C. Eichler, E. Cohen-Hubal, J.D.S. Jason D. Surratt, G. Morrison, and B. Turpin. Exposure to Per- and Polyfluoroalkyl Substances (PFAS) in North Carolina Homes: Results from the Indoor PFAS Assessment (IPA) Campaign.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 27(6): 1654-1670, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532005",
      "keyword": [
        "PFAS",
        "Indoor Environment",
        "Indoor chemistry",
        "Dust",
        "tapwater"
      ],
      "contactPoint": {
        "fn": "Elaine Cohen Hubal",
        "hasEmail": "mailto:cohenhubal.elaine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.rsc.org/suppdata/d4/em/d4em00525b/d4em00525b1.pdf",
          "accessURL": "https://www.rsc.org/suppdata/d4/em/d4em00525b/d4em00525b1.pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-04",
      "references": [
        "https://doi.org/10.1039/d4em00525b",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12065928"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: Predictions of Cyanobacteria and Microcystin in Lakes across the Conterminous United States",
      "description": "With increasing concerns about freshwater cyanobacteria blooms, there is a need to identify which waterbodies are at risk for developing these blooms, especially those that produce cyanotoxins. To address this concern, we developed spatial statistical models using the US National Lakes Assessment, a survey with over 3,000 spring and summer observations of cyanobacteria abundance and microcystin concentration in lakes across the conterminous US. We combined these observations with other nationally available data to model which lake and watershed factors best explain the presence of harmful cyanobacterial blooms. We then used these models to estimate the cyanobacteria abundance and probability of microcystin detection in 124,500 lakes across the CONUS. This dataset includes the compiled data used to generate the models and the dataset used to generate prediction for a much larger population of lakes. The data package includes two tabular data files, two tabular metadata files, and one methods document.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532353",
      "keyword": [
        "cyanobacteria",
        "lakes",
        "cyanotoxins",
        "Harmful Algae Blooms"
      ],
      "contactPoint": {
        "fn": "Amalia Handler",
        "hasEmail": "mailto:handler.amalia@epa.gov"
      },
      "distribution": [
        {
          "title": "HABsDrivers_Pred_Metadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532353/HABsDrivers_Pred_Metadata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsDrivers_Pred_Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532353/HABsDrivers_Pred_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsDrivers_Model_Metadata.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532353/HABsDrivers_Model_Metadata.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HABsDrivers_Model_Data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532353/HABsDrivers_Model_Data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Big Spring Run sediment restoration data",
      "description": "Excess sediments and anthropogenic nutrients, especially nitrogen (N) and phosphorous (P), are leading cause of water quality impairment in streams and wetlands throughout the Mid-Atlantic Region of the US. Legacy sediments, deposited as a function of historic mill dam construction, may contribute significantly to the sediment and nutrient load of streams and waterways. In addition, the accumulation of legacy sediments in valley bottoms has buried extensive Holocene wetlands, and substantially altered the hydrology of entire watersheds. This data contains water quality measurements collected before and after sediment restoration at Big Spring Run in Pennsylvania.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532356",
      "keyword": [
        "data management",
        "chemicals",
        "restoration",
        "water quality",
        "sediment"
      ],
      "contactPoint": {
        "fn": "James Power",
        "hasEmail": "mailto:power.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Information about the dataset for Big Spring Run.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532356/Information%20about%20the%20dataset%20for%20Big%20Spring%20Run.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Big Spring Run data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532356/Big%20Spring%20Run%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-30",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532356/documents/Information%20about%20the%20dataset%20for%20Big%20Spring%20Run.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gidley 2022 US Army Corps of Engineers",
      "description": "Data is available from Philip T. Gidley (philip.t.gidley@erdc.dren.mil), Environmental Laboratory, ERDC, US Army Corps of Engineers, Vicksburg, MS, USA. This dataset is not publicly accessible because: Non-EPA-owned by U.S. Army Corps of Engineers (Environmental Laboratory, ERDC, Vicksburg, MS). It can be accessed through the following means: Contact Philip T. Gidley (philip.t.gidley@erdc.dren.mil), Environmental Laboratory, ERDC, US Army Corps of Engineers, Vicksburg, MS, USA. Format: Excel spreadsheets. \n\nThis dataset is associated with the following publication:\nGidley, P.T., G.R. Lotufo, A.J. Kennedy, N.L. Melby, A.H. Wooley, C.H. Laber, R.M. Burgess, C.E. Ruiz, and T.S. Bridges. Effect of Activated Carbon in Thin Sand Caps Challenged with Ongoing PCB Inputs from Sediment Deposition: PCB Uptake in Clams (Mercenaria mercenaria) and Passive Samplers.   ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 82: 95-104, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528305",
      "keyword": [
        "remediation",
        "bioavailability",
        "Contaminated Sediments",
        "bioaccumulation"
      ],
      "contactPoint": {
        "fn": "Robert Burgess",
        "hasEmail": "mailto:burgess.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2021-10-20",
      "references": [
        "https://doi.org/10.1007/s00244-021-00894-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9093667"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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      "accessRights": "public"
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    {
      "title": "Soil Health Dataset from Kansas Farms 2023-2024",
      "description": "A workbook of all the soils data collected near Holton, Kansas, in agricultural fields. Laboratory analysis of soil properties was completed by Ward Labs in Kearny Nebraska. Isotope analysis of soils was completed in Integrated Stable Isotope Research Facility operated by US Environmental Protection Agency. The goal of this project was to evaluate if Soil Health Principles can reduce the risk of nitrate leaching from agricultural fields. This effort was a collaborative project between EPA Region 7, EPA Office of Research and Development, and Kansas Department of Health and Environment (KDHE). \n\nDiscussion of the project generating these data is available on the KDHE website:\nhttps://storymaps.arcgis.com/stories/1efcfe1924fc4daf85a7958c0a41fa5a\n\nIt can also be found on the KDHE Watershed Management Section at the end of the What we Do section.     \nhttps://www.kdhe.ks.gov/974/Watershed-Management-Section\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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      "identifier": "https://doi.org/10.23719/1532376",
      "keyword": [
        "Agriculture",
        "nitrogen",
        "Soil Health",
        "nitrate",
        "fertilizer",
        "soil organic matter",
        "cover crops"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "Kansas_Soil_Health_Data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532376/Kansas_Soil_Health_Data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
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      },
      "accessRights": "public"
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    {
      "title": "Modeling Wetland Resources for Spring Migratory Waterbirds Under Different Agricultural Management Scenarios: Data are contained within the manuscript and supplementary files as open access hosted by the publishing journal.",
      "description": "Mitchell, M.E., Anteau, M.J., Pearse, A.T. et al. Modeling Wetland Resources for Spring Migratory Waterbirds Under Different Agricultural Management Scenarios in the Iowa Portion of the Prairie Pothole Region, USA. Wetlands 45, 48 (2025). https://doi.org/10.1007/s13157-025-01930-y. \n\nThis dataset is associated with the following publication:\nMitchell, M., M. Anteau, A. Pearse, T. Newcomer-Johnson, J. Christensen, W. Crumpton, B. Dyson, T. Canfield, M. Helmers, D. Green, and K. Forshay. Modeling Wetland Resources for Spring Migratory Waterbirds Under Different Agricultural Management Scenarios in the Iowa Portion of the Prairie Pothole Region, USA.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 45: article number 48, (2025).",
      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
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      ],
      "identifier": "https://doi.org/10.23719/1532390",
      "keyword": [
        "drainage modernization",
        "constructed wetlands",
        "Tile Drainage",
        "ducks",
        "Agriculture",
        "Nitrogen and Co-pollutants",
        "shorebirds"
      ],
      "contactPoint": {
        "fn": "Kenneth Forshay",
        "hasEmail": "mailto:forshay.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "https://static-content.springer.com/esm/art%3A10.1007%2Fs13157-025-01930-y/MediaObjects/13157_2025_1930_MOESM1_ESM.docx",
          "accessURL": "https://static-content.springer.com/esm/art%3A10.1007%2Fs13157-025-01930-y/MediaObjects/13157_2025_1930_MOESM1_ESM.docx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://static-content.springer.com/esm/art%3A10.1007%2Fs13157-025-01930-y/MediaObjects/13157_2025_1930_MOESM2_ESM.docx",
          "accessURL": "https://static-content.springer.com/esm/art%3A10.1007%2Fs13157-025-01930-y/MediaObjects/13157_2025_1930_MOESM2_ESM.docx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1007/s13157-025-01930-y",
          "accessURL": "https://doi.org/10.1007/s13157-025-01930-y",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2025-04-30",
      "references": [
        "https://doi.org/10.1007/s13157-025-01930-y"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada (v1.0)",
      "description": "CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada\n\nData contact: Havala Pye, ORCID: 0000-0002-2014-2140\n\nThis dataset provides daily predictions of ozone and fine particle (PM2.5) species across the contiguous U.S. and a large fraction of Canada at 12km horizontal resolution for 2023. Values are predicted by CMAQv5.5 with CRACMM chemistry.\n\nPlease see Pye, H. O. T. (2025). CMAQ v5.5 Annual 2023 Gridded Predictions Across the US and Canada (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15732714 for the full archive.\n\nPlease cite the following for CMAQ with CRACMM2:\nSkipper, T. N., D'Ambro, E. L., Wiser, F. C., McNeill, V. F., Schwantes, R. H., Henderson, B. H., Piletic, I. R., Baublitz, C. B., Bash, J. O., Whitehill, A. R., Valin, L. C., Mouat, A. P., Kaiser, J., Wolfe, G. M., St. Clair, J. M., Hanisco, T. F., Fried, A., Place, B. K., and Pye, H. O. T.: Role of chemical production and depositional losses on formaldehyde in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM), Atmos. Chem. Phys., 24, 12903–12924, https://doi.org/10.5194/acp-24-12903-2024, 2024.\n\nDISCLAIMER: This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532366",
      "keyword": [
        "pm2.5",
        "sulfate",
        "Ammonium",
        "organic carbon",
        "Ozone",
        "elemental carbon",
        "nitrate"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.13883210",
          "accessURL": "https://doi.org/10.5281/zenodo.13883210",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.15732714",
          "accessURL": "https://doi.org/10.5281/zenodo.15732714",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532366/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of long-term forest monitoring in the Oregon Cascades and Coast Ranges",
      "description": "This dataset contains long term dendrometer, meteorological, and soil measurements collected in Oregon's Cascades and Coast ranges.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
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      ],
      "identifier": "https://doi.org/10.23719/1532368",
      "keyword": [
        "growth",
        "meteor",
        "forest",
        "soil"
      ],
      "contactPoint": {
        "fn": "James Power",
        "hasEmail": "mailto:power.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Information about the datasets for Crest to Coast forest monitoring.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532368/Information%20about%20the%20datasets%20for%20Crest%20to%20Coast%20forest%20monitoring.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Example CH14 Surface and soil data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532368/Example%20CH14%20Surface%20and%20soil%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Crest to Coast dendrometer measurement.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532368/Crest%20to%20Coast%20dendrometer%20measurement.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Crest to Coast meterorological data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532368/Crest%20to%20Coast%20meterorological%20data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating the impacts of metal exposure concentration and duration on juvenile fish transcriptomes",
      "description": "Our research used a combination of laboratory-based acute aqueous metals exposures and RNA-sequencing technologies to identify a gene-based means to extrapolate metals toxicity across a range of fish taxa. For Phase 1 of our project, we compared transcriptome changes in caudal fin, gill and liver of juvenile Rainbow trout (Oncorhynchus mykiss) exposed to cadmium (Cd), copper (Cu), or zinc (Zn) at 17, or 50% of LC50 concentrations for 24 and 96 hours to controls. These experiments allowed us to test for conserved responses to the metal exposures, and to test which metal produced the most coherent gene expression profile indicative of a defined mode of action. During Phase 2, we exposed  juvenile Chinook salmon (Oncorhynchus tshawytscha) to the selected metal (Zn) to begin to ascertain the extent to which the mode of action identified was conserved among salmonids.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532379",
      "keyword": [
        "transcriptome",
        "Chinook salmon",
        "rainbow trout",
        "RNA-Seq",
        "fish",
        "metals toxicity"
      ],
      "contactPoint": {
        "fn": "Jay Reichman",
        "hasEmail": "mailto:reichman.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "RARE 2093 SRA Metadata Revised.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532379/RARE%202093%20SRA%20Metadata%20Revised.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1273109",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1273109",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fire Whirl data set",
      "description": "Emission factors from large scale fire whirls burning crude oil. Portions of this dataset are inaccessible because: Data created by external organizations. They can be accessed through the following means: Contact the creator of the data, Michael Gollner. Format: Movie data. Velocity data. \n\nThis dataset is associated with the following publication:\nCui, W., J. Dowling, M. Hajilou, M. Huffman, B. Pawar, J. Aurell, Q. Wang, E. Oran, K. Stone, and M. Gollner. Large-Scale Field Experiments on Enhancing In-Situ Burning with Fire Whirls.   FUEL. Elsevier Science BV, Amsterdam,  NETHERLANDS,  0, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532285",
      "keyword": [
        "fire whirl",
        "particulate matter (PM)",
        "in-situ burning",
        "emissions",
        "heat flux"
      ],
      "contactPoint": {
        "fn": "Johanna Aurell",
        "hasEmail": "mailto:aurell.johanna@epa.gov"
      },
      "distribution": [
        {
          "title": "Data Table Science Hub Fire Whirl.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532285/Data%20Table%20Science%20Hub%20Fire%20Whirl.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-12",
      "references": [
        "https://doi.org/10.1016/j.fuel.2025.136093"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scenario and sensitivity analysis of U.S. soybean oil biodiesel production within the GLOBIOM model",
      "description": "This dataset provides the scenario output data assessed in the following publication:\n\nUnderstanding Uncertainty in Market-Mediated Responses to US Oilseed Biodiesel Demand: Sensitivity of ILUC Emission Estimates to GLOBIOM Parametric Uncertainty\nNeus Escobar, Hugo Valin, Stefan Frank, Diana Galperin, Christopher M. Wade, Leopold Ringwald, Daniel Tanner, Niklas Hinkel, Petr Havlík, Justin S. Baker, Sharyn Lie, and Christopher Ramig\nEnvironmental Science & Technology 2025 59 (1), 302-314\nDOI: 10.1021/acs.est.3c09944\n\nData included consist of \n1. outputs for a central baseline scenario and policy shock which mandates an additional 1 billion gallons of soybean oil biodiesel consumption within the USA\n2. calculated scenario differences for each trial under a one-at-a-time sensitivity analysis\n3. calculated scenario differences for each trial under a Monte-carlo sensitivity analysis\n4. calculated results from a Bayesian Additive Regression Trees (BART) analysis. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532395",
      "keyword": [
        "biofuels",
        "Economic Model",
        "international trade",
        "LCA",
        "biodiesel",
        "land use change"
      ],
      "contactPoint": {
        "fn": "Daniel Tanner",
        "hasEmail": "mailto:tanner.daniel@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_PubMed_Submission.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532395/Data_PubMed_Submission.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-02",
      "references": [
        "https://doi.org/10.1021/acs.est.3c09944",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11741104"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Health and air quality impact factors developed for GCAM-USA using COBRA",
      "description": "Human health and air quality impact factors can be used to endogenize impacts into a human-Earth systems model such as the state-level Global Change Analysis Model (GCAM-USA). The resulting model can then be used to evaluate the monetized health or air quality benefits associated with a technology or policy. Endogenized air pollution impacts can also be constrained, allowing GCAM-USA to identify cost-effective strategies for achieving targeted goals. This package includes R code for developing health impact values ($/ton) and a spreadsheet for translating those factors into damage factors ($/unit activity). Resulting comma-separated-value files that include health damage factors for ozone and particulate matter are also included. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532371",
      "keyword": [
        "health",
        "emissions",
        "energy",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Damage_Factor_DataCodeCalcs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532371/Damage_Factor_DataCodeCalcs.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-11",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532371/documents/glimpseXMLHeaders_ImpactFactors.txt"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Duvall and Hagy - Modeling climate-driven changes in streamflow to Long Island Sound from 2003-2016 vs. 2030-2050",
      "description": "This data set includes data quantifying streamflow at gauging stations in the Long Island Sound watershed and nearby watersheds for 2003 to 2016, characteristics of the watersheds draining to the gauging stations, and simulation results from global climate models.  The data also includes Matlab and R code used to generate predicted changes in stream flow as described in the paper. \n\nThis dataset is associated with the following publication:\nDuvall, M., and J. Hagy. Climate-induced changes in streamflow and nitrogen loading to Long Island Sound.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 992: 179957, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531754",
      "keyword": [
        "stream flow",
        "Long Island Sound",
        "Global Climate Change",
        "hydrologic modeling"
      ],
      "contactPoint": {
        "fn": "James Hagy",
        "hasEmail": "mailto:hagy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531754/Figure_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-20",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.179957"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NO2 observations from NOAA-20 OMPS Data",
      "description": "EPA, in collaboration with NASA, collected upward-viewing UV/visible solar radiance measurements at air quality stations in the New York City region. From these radiances, NO2 vertical column densities (molecules cm-2) are retrieved for comparison to retrieved NO2 column from a downward viewing, satellite-based UV/visible instrument, the NOAA Ozone Mapping and Profiler Suite (OMPS) . \n\nThis dataset is associated with the following publication:\nHuang, X., K. Yang, S. Kondragunta, Z. Weir, L. Valin, J. Szykman, and M. Goldberg. NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 290: 119367, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527724",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "Ozone Mapping and Profiler Suite",
        "COVID-19",
        "Pandora spectrometer",
        "Ozone Monitoring Instrument"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.ovh.pandonia-global-network.org/",
          "accessURL": "https://data.ovh.pandonia-global-network.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2022-04-01",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119367",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441478"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systematic Evidence Map for the Per- and Polyfluoroalkyl Substances (PFAS) Universe",
      "description": "We used systematic evidence map methods to summarize the available epidemiological and animal bioassay evidence for an expanded set of ~15,000 PFAS that were identified as PFAS by EPA's Center for Computational Toxicology and Exposure (CCTE). This work is a continuation of our previous 2022 and 2024 SEMs that inventoried evidence on a separate set of ~500 PFAS (Carlson et al, 2022, https://doi.org/10.1289/EHP10343; Radke et al, 2022, https://doi.org/10.1289/EHP11185; Carlson et al., 2024; https://doi.org/10.1289/EHP14191) and a 2023 evidence map on an additional 345 PFAS (Shirke et al. 2024, https://doi.org/10.1289/EHP13423 ). The comprehensive PFAS dashboard includes evidence identified from our past SEMs and completed US EPA assessments. \n\nThis dataset is associated with the following publication:\nShirke, A., E. Radke, R. Jones, B. Allen, C. Lin, A. Ross, N. Vetter, C. Lemeris, p. hartman, S. Eftim, A. Varghese, R. Blain, H. Hubbard, A. Williams, K. Thayer, and L. Carlson. Systematic Evidence Map for the Per- and Polyfluoroalkyl Substances (PFAS) Universe.   ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 0(0): 1-45, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531798",
      "keyword": [
        "Risk Assessment",
        "PFAS",
        "hazard identification",
        "evidence map"
      ],
      "contactPoint": {
        "fn": "Laura Carlson",
        "hasEmail": "mailto:carlson.laura@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hawc.epa.gov/assessment/100500347/",
          "accessURL": "https://hawc.epa.gov/assessment/100500347/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/4214",
          "accessURL": "https://heronet.epa.gov/heronet/index.cfm/project/page/project_id/4214",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://public.tableau.com/app/profile/literature.inventory/viz/ComprehensivePFASEvidenceMapVisualizations/ReadMe",
          "accessURL": "https://public.tableau.com/app/profile/literature.inventory/viz/ComprehensivePFASEvidenceMapVisualizations/ReadMe",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://public.tableau.com/app/profile/literature.inventory/viz/PFASUniverseEvidenceMapVisualizations_17249628281260/ReadMe",
          "accessURL": "https://public.tableau.com/app/profile/literature.inventory/viz/PFASUniverseEvidenceMapVisualizations_17249628281260/ReadMe",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS Universe Supplemental B Prioritization Datasets final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531798/PFAS%20Universe%20Supplemental%20B%20Prioritization%20Datasets%20final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PFAS Universe Supplemental A Data_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531798/PFAS%20Universe%20Supplemental%20A%20Data_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-28",
      "references": [
        "https://doi.org/10.1289/ehp16952"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS in Primary and Secondary Leachate",
      "description": "the data include results of PFAS concentration in primary and secondary landfill leachate. Each figure in the manuscript has a specific sheet associated with it. \n\nThis dataset is associated with the following publication:\nRobey, N., Y. Liu, T. Tolaymat, J. Bowden, H. Solo-Gabriele, and T. Townsend. Per- and Polyfluoroalkyl Substances (PFAS) Profiles in Primary and Secondary Landfill Leachates: Indications of Transformation, Liner Interactions, and other PFAS Sources.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 494: 138705, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531908",
      "keyword": [
        "PFAS",
        "Landfill",
        "leachate",
        "Liner"
      ],
      "contactPoint": {
        "fn": "Thabet Tolaymat",
        "hasEmail": "mailto:tolaymat.thabet@epa.gov"
      },
      "distribution": [
        {
          "title": "Copy of Primary Secondary Leachate Data Figures and Tables_01072025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531908/Copy%20of%20Primary%20Secondary%20Leachate%20Data%20Figures%20and%20Tables_01072025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-01",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2025.138705"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531908/documents/Primary%20Secondary%20Leachate%20Data%20Figures%20and%20Tables.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Intracerebroventricular kynurenic acid modulation differentially regulates the immune and neuroendocrine stress response to acute ozone exposure ",
      "description": "This dataset includes data for the manuscript in progress, Intracerebroventricular kynurenic acid modulation differentially regulates the immune and neuroendocrine stress response to acute ozone exposure. This study employed the use of kynurenic acid or the kynurenic acid synthesis inhibitor, PF-04859989 infused into the dorsal third ventricle of the brain in male WKY rats, prior to acute ozone exposure at 0.8 ppm, to evaluate the role of kynurenic acid in modulating the neuroendocrine stress response to ozone. Our results indicate that kynurenic acid may have a protective role in the brain, in attenuating the pulmonary and systemic effects of ozone exposure, perhaps through multiple mechanisms. \n\nThis dataset is associated with the following publication:\nRentschler, K., M.C. Schladweiler, R. Grindstaff, W. Williams, P.R. Kodavanti, D. Freeborn, L. Klein, G. Jung, D. Herr, P. Evansky, J. McKee, S. Gavett, and U. Kodavanti. Differential Effects of Intracerebroventricular Kynurenic Acid Regulation on the Inflammatory and Neuroendocrine Response to Acute Ozone Exposure. Presented at Society of Toxicology, Orlando, FL, USA, 03/16/2025 - 03/20/2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532348",
      "keyword": [
        "Ozone",
        "air pollution",
        "stress",
        "neuroendocrine stress axes",
        "kynurenic acid",
        "dorsal third ventricle",
        "hippocampus",
        "hypothalamus",
        "pulmonary"
      ],
      "contactPoint": {
        "fn": "Katherine Rentschler",
        "hasEmail": "mailto:rentschler.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "WKYICV-KR2024 PF and KYNA Science Hub Data KR edited 6.4.25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532348/WKYICV-KR2024%20PF%20and%20KYNA%20Science%20Hub%20Data%20KR%20edited%206.4.25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EB5_Evoked_Potentials_Dataset_v1",
      "description": "Brainstem Auditory Evoked Potential, Peripheral Nerve Action Potentials/NCV, Somatosensory Evoked Potentials (Cortex, Cerebellum) from adult male Long-Evans rats developmentally exposed to emamectin.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532417",
      "keyword": [
        "emamectin",
        "Development neurotoxicity",
        "neurophysiology"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "EB5_Evoked_Potentials_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532417/EB5_Evoked_Potentials_Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ model data and code associated with the manuscript \"Modeling attainment in Fairbanks, Alaska for wintertime PM2.5 24-hour non-attainment area using the CMAQ (Community Multi-Scale Air Quality) model\"",
      "description": "This dataset includes CMAQ model code and a description/location of meteorological files. Portions of this dataset are inaccessible because: Non-EPA-owned by Alaska Department of Environmental Conservation. They can be accessed through the following means: Contact Deanna Huff from AK DEC at deanna.huff@alaska.gov (907-465-5116). Format: Netcdf files containing CMAQ inputs (emissions, initial/boundary conditions) and outputs (> 600 GB), excel spreadsheets with emissions information and post-processing calculations. \n\nThis dataset is associated with the following publication:\nHuff, D., T. Carlson, L.P. Vennam, C. Chien, K. Fahey, R. Gilliam, and N. Czarnecki. Modeling attainment in Fairbanks, Alaska for the wintertime PM2.5 24-hour non-attainment area using the CMAQ (community multi-scale air quality) model.   Faraday Discuss. Royal Society of Chemistry, Cambridge,  UK, 258: 234-264, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531852",
      "keyword": [
        "CMAQ",
        "particulate matter",
        "Fairbanks",
        "Heterogeneous chemistry",
        "sulfate"
      ],
      "contactPoint": {
        "fn": "Kathleen Fahey",
        "hasEmail": "mailto:fahey.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "Data_dictionary_Faraday.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531852/Data_dictionary_Faraday.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EmissCtrl_Fbks_example.nml.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531852/EmissCtrl_Fbks_example.nml.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_BLD_AK_v2.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531852/CMAQ_BLD_AK_v2.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ_BLD_AK_v1.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531852/CMAQ_BLD_AK_v1.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-08",
      "references": [
        "https://doi.org/10.1039/d4fd00158c"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of roadside conifers vegetation growth on air pollution mitigation",
      "description": "Data describes the influence of vegetation growth on the barrier’s physical dispersion mechanisms, spatial decay of pollutant concentration at various growth stages, the influence of vegetation growth on the reduction of particles and tracer gas at extreme wind speeds, the Impact of vegetation growth on average concentration for various wind speeds and particle sizes, and the Influence of LAI, vegetation species, and LAD profile on pollutant reduction. This dataset is not publicly accessible because: Data belongs to Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA. It can be accessed through the following means: Contact K. Max Zhang at kz33@cornell.edu. Format: Medium sized format; no special equipment needed. \n\nThis dataset is associated with the following publication:\nHashad, K., B. Yang, J. Gallagher, R. Baldauf, P. Deshmukh, and M. Zhang. Impact of roadside conifers vegetation growth on air pollution mitigation.   LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 229: 0, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532307",
      "keyword": [
        "vegetation",
        "traffic",
        "near-road",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Kathleen Azzam",
        "hasEmail": "mailto:azzam.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2025-05-27",
      "references": [
        "https://doi.org/10.1016/j.landurbplan.2022.104594"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2015 Light-Duty Truck Towing Data",
      "description": "This dataset includes vehicle emission rates and test run data used to generate the figures and tables used in the manuscript. A data dictionary describes each parameter and provides their units. On-road tailpipe emission measurements were collected by EPA in 2015 to examine differing emission rates from light-duty trucks under towing and non-towing conditions, and to compare measured emission rates to MOVES modeled estimates. \n\nThis dataset is associated with the following publication:\nKim, B., R. Jaikumar, R. Souza, M. Xu, J. Johnson, C. Fulper, J. Faircloth, M. Venugopal, C. Gu, T. Ramani, M. Aldridge, R. Baldauf, A. Fernandez, T. Long, R. Snow, C. Williams, R. Logan, and H. Vreeland. Emission Rates for Light-Duty Trucks Based on Towing Operations in Real-World Conditions.   ATMOSPHERE. MDPI, Basel,  SWITZERLAND,  0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532385",
      "keyword": [
        "towing",
        "PEMS",
        "light-duty trucks",
        "MOVES",
        "tailpipe emissions"
      ],
      "contactPoint": {
        "fn": "Heidi Vreeland",
        "hasEmail": "mailto:vreeland.heidi@epa.gov"
      },
      "distribution": [
        {
          "title": "Light-Duty Truck Towing Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532385/Light-Duty%20Truck%20Towing%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-28",
      "references": [
        "https://doi.org/10.3390/atmos16060749"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Integrating Satellite and Sensor Measurements to Understand Urban Air Quality: A Case Study of PM2.5 in Asunción, Paraguay",
      "description": "Data describes Satellite-derived monthly averaged PM2.5 concentrations for South America and Asunción during February 2020, Box-and-whisker plots showing the distributions of monthly mean PM2.5 values and 24-hr PM2.5 mean values for each ground-level sensor, Line graph showing hourly PM2.5 averages for each grou, nd-level sensor, Sensor-measured daily PM2.5 means for ItaEnramada and Villamora during August 2020 (fire season) and March 2021 (rainy season). This dataset is not publicly accessible because: Owned by Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology. It can be accessed through the following means: Contact John Kerekes at kerekes@cis.rit.edu. Format: Medium sized files; not too big.  No special equipment needed. \n\nThis dataset is associated with the following publication:\nBaldauf, R., L. Prox, J. Kerekes, Y. Zhou, G. Pallarolas , and M. Lang. Integrating satellite and sensor measurements to understand urban air quality: case study of PM2.5 in Asunción, Paraguay.   EM:  AIR AND WASTE MANAGEMENT ASSOCIATION'S MAGAZINE FOR ENVIRONMENTAL MANAGERS. Air & Waste Management Association, Pittsburgh, PA, USA,  NA, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532308",
      "keyword": [
        "measurements",
        "Asuncion",
        "air quality",
        "Fine Particulate Matter"
      ],
      "contactPoint": {
        "fn": "Kathleen Azzam",
        "hasEmail": "mailto:azzam.kathleen@epa.gov"
      },
      "distribution": [],
      "modified": "2025-05-27",
      "references": [
        "https://www.awma.org/em"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Indianapolis Research Duplex Total Database SCID: B-3r2f",
      "description": "The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528744",
      "keyword": [
        "vapor intrusion",
        "TCE",
        "indoor air",
        "Passive Sampling",
        "PCE",
        "Chloroform"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "TO-013_Database_March_2014.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528744/TO-013_Database_March_2014.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Main text figure data",
      "description": "Raw underlying data for visualizations in the main body of the manuscript. \n\nThis dataset is associated with the following publication:\nChampion, W., M. MacDonald, B. Thomas, S. Bantupalli, and E. Thoma. Methane sensor characterization using colocated ambient comparisons and simulated emission challenges.   ACS ES&T Air. American Chemical Society, Washington, DC, USA,  0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532405",
      "keyword": [
        "Data Set Analysis",
        "emissions",
        "climate change",
        "Oil and Gas",
        "Methods development",
        "air quality",
        "low cost sensors",
        "sensor",
        "Air monitoring"
      ],
      "contactPoint": {
        "fn": "Wyatt Champion",
        "hasEmail": "mailto:champion.wyatt@epa.gov"
      },
      "distribution": [
        {
          "title": "Champion et al 2025 - Methane Paper - ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532405/Champion%20et%20al%202025%20-%20Methane%20Paper%20-%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00110"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using fecal DNA metabarcoding to test if diet of migratory birds is correlated with Pb exposure level at a contaminated site in north Idaho: CO1 dataset",
      "description": "Fecal samples from migratory birds were collected from contaminated wetlands in the Bunker Hill Lower Basin Coeur ’d Alene River Watershed and from a Hepton Lake reference area St. Joe River Watershed during 2022-2024. Mitochondrial CO1 metabarcoding was used to confirm bird taxa from which samples were collected.\n\nCO1 primers with Illumina adaptors:\nCO1-F\tTCGTCGGCAGCGTCAGATGTGTATAAGAGACAGAACATTCAGCCATCTTACCCGTG\nCO1-R\tGTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGACAGGGAGTGATAGRAGKAGTAGG\n\nAlso, chloroplast rbcL metabarcoding was used to identify plant taxa recently consumed by the birds, which can be found at DOI: 10.23719/1532393",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532394",
      "keyword": [
        "Amplicon-sequencing",
        "Pb toxicity",
        "Birds",
        "CO1"
      ],
      "contactPoint": {
        "fn": "Jay Reichman",
        "hasEmail": "mailto:reichman.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1277348",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1277348",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bird_CO1_SRA_metadata_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532394/Bird_CO1_SRA_metadata_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using fecal DNA metabarcoding to test if diet of migratory birds is correlated with Pb exposure level at a contaminated site in north Idaho: rbcL dataset",
      "description": "Fecal samples from migratory birds were collected from Pb contaminated wetlands in the Bunker Hill Lower Basin Coeur ’d Alene River Watershed and from a Hepton Lake reference area St. Joe River Watershed during 2022-2024. Chloroplast rbcL metabarcoding was used to identify plant taxa recently consumed by the birds.\n\nrbcL primers with Illumina adaptors:\nRBCL-F\tTCGTCGGCAGCGTCAGATGTGTATAAGAGACAGYGATGGACTTACNAGTCTTGATCGTTACAAAGG\nRBCL-R\tGTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGGNCCATAYTTRTTCAATTTATCTCTTTCAACTTGGATNCC\n\nAlso, mitochondrial CO1 metabarcoding was used to confirm bird taxa from which samples were collected, which can be found at DOI: 10.23719/1532394",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532393",
      "keyword": [
        "rbcL",
        "Birds",
        "Pb toxicity",
        "Amplicon-sequencing"
      ],
      "contactPoint": {
        "fn": "Jay Reichman",
        "hasEmail": "mailto:reichman.jay@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1277348",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1277348",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bird_rbcL_SRA_metadata_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532393/Bird_rbcL_SRA_metadata_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "National Wetland Condition Assessment (NWCA) Soil and Water Stable Isotope Data",
      "description": "These datasets provide raw stable isotope data collected as part of the National Wetland Condition Assessment (NWCA).  δ15N and δ13C measured from 10-cm Standard Depth Soil Cores are reported for 2016 NWCA.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532409",
      "keyword": [
        "nitrogen processing",
        "wetlands",
        "ecosystem services",
        "denitrification"
      ],
      "contactPoint": {
        "fn": "Amanda Nahlik",
        "hasEmail": "mailto:nahlik.amanda@epa.gov"
      },
      "distribution": [
        {
          "title": "NWCA_SOSI_QAQC_2016_20260403.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532409/NWCA_SOSI_QAQC_2016_20260403.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distribution of Subslab Soil Gas Concentrations of VOCs and Radon in a Compartmentalized Warehouse: Rate and Causes of Temporal Change",
      "description": "All data collected and utilized for this publication",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529459",
      "keyword": [
        "mechanical controls",
        "TCE",
        "meteorological effects",
        "radon",
        "Temporal Variability",
        "PCE",
        "VI"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://google.com",
          "accessURL": "https://google.com",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GLISSNet multilocus comparison",
      "description": "Amplicon sequence variants from benthic and zooplankton samples generated using COI and 18S primers",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532272",
      "keyword": [
        "biodiversity",
        "Non-native Species",
        "sentinel sites",
        "DNA monitoring",
        "Great Lakes",
        "surveillance",
        "COI",
        "18S",
        "amplicon sequence variant"
      ],
      "contactPoint": {
        "fn": "John Darling",
        "hasEmail": "mailto:darling.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Readme.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532272/Readme.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GL2023-multilocus-metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532272/GL2023-multilocus-metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data description.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532272/Data%20description.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-05",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset: Benthic Invertebrate Conductivity Extirpation Estimates with Chloride, Bicarbonate, and Sulfate Mixtures",
      "description": "These data include benthic invertebrate occurrence data and associated water quality data within the states of Maryland, Pennsylvania, Vermont, and West Virginia.  Data are sorted into stations dominated by chloride or sulfate ions or a mix of the two. Also included are the original and curated ion mixture data, R scripts, summary plots and tables.  Additional detail on methods and applications are available in these two papers:\n Cormier, S., L. Zheng, and C. Flaherty. A field-based model of the relationship between extirpation of salt-intolerant benthic invertebrates and background conductivity. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 633: 1629-1636, (2018).\nCormier, S.M., Suter, G.W., Fernandez, M.B. and Zheng, L., 2020. Adequacy of sample size for estimating a value from field observational data. Ecotoxicology and environmental safety, 203, p.110992. \n\nThis dataset is associated with the following publication:\nCormier, S., T. Newcomer Johnson, and C. Wharton. Freshwater Explorer 2.0 Data and mapping capabilities and assessment examples. Presented at OWOW Webinar, Webinar, CT, USA, 06/24/2025 - 06/24/2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532419",
      "keyword": [
        "Permutation test",
        "Benthic Invertebrate",
        "chloride",
        "sulfate",
        "bicarbonate",
        "conductivity",
        "Species Sensitivity Distribution"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Pedigree 2.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532419/Pedigree%202.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532419/documents/DataDictionaryCond_DataFileColumnMetadata_20161221.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Data set: St. Louis River Watershed, MN Conductivity Assessment March 2022",
      "description": "Data used to evaluate potential downstream impacts of the NorthMet Mine, by USEPA Office of Research and Development is providing, for USEPA Region 5’s use, including a characterization of stream specific conductivity (SC) levels, least disturbed background SC, and SC levels that may exceed the Fond du Lac Band’s WQ standards and adversely affect aquatic life, including brook trout (Salvelinus fontinalis), lake sturgeon (Acipenser fulvescens), and benthic macroinvertebrates. \nKeywords: Conductivity, St. Louis River, benthic invertebrates; mining\nThe attached Excel Pedigree includes: \n_Datasets: Data file uploaded to EPA Science Hub and/or Environmental Data Set Gateway\n_R  : Clean R scripts used to generate document figures and tables\n_Tables_Figures: Files generated from R script and used in the Region 5 memo 20220325\nR Code and Data: All additional files used for this project, including original files, intermediate files, extra output files, and extra functions. \tThe \"_R\" folder contains four subfolders. Each subfolder has several R scripts, input and output files, and an R project file. Users can run R scripts directly from each subfolder by installing R, RStudio, and associated R packages.\nData Dictionary: See tab DataDictionary in Excel file\nDatasets: Simplified language is used in the text to identify parent data sets. Source and File names are retained in this pedigree in original form to enable R-scripts to retain functionality.\n•\tThingvold et al. (1975-1977)\n•\tGriffith (1998-2009)\n•\tPredicted background (2000-2015)\n•\tWater Quality Portal (1996-2021)\n•\tWater Quality Portal Less Disturbed (1996-2021)\n•\tMinnesota Pollution Control Agency (MPCA) (1996-2013)\n•\tMid-Atlantic Highlands (1990 to 2014). \n\nThis dataset is associated with the following publication:\nCormier, S., and Y. Wang. Appendix C: ORD Specific Conductance Memo, from Susan Cormier to Tera Fong. March 15, 2022. Assessment of effects of increased ion concentrations in the St. Louis River Watershed with special attention to potential mining influence and the jurisdiction of the Fond du Lac Band of Lake Superior Chippewa. U.S. Environmental Protection Agency, Washington, DC, USA, 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532381",
      "keyword": [
        "conductivity",
        "St. Louis River",
        "benthic invertebrates",
        "fish",
        "mining"
      ],
      "contactPoint": {
        "fn": "Susan Cormier",
        "hasEmail": "mailto:cormier.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "MN_Pedigree_20220318.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532381/MN_Pedigree_20220318.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-23",
      "references": [
        "https://www.epa.gov/mn/polymet-northmet-mine#materials"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimation of the Number of Subslab Soil Gas Samples to Collect to Characterize Vapor Intrusion Under a Large Building",
      "description": "Between December 2020 and April 2022, samples were collected at six commercial buildings in Fairbanks, Alaska and between May 2019, to June 2021 at a large, compartmentalized warehouse at a coastal site in Virginia. Types of samples collected included: indoor air; outdoor air; SSSG; soil gas; radon; differential pressure; indoor and outdoor temperature; heating, ventilation, and air conditioning (HVAC) parameters; and other environmental factors.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532422",
      "keyword": [
        "subslab soil gas",
        "vapor intrusion",
        "Temporal Variability",
        "spatial variability"
      ],
      "contactPoint": {
        "fn": "John Zimmerman",
        "hasEmail": "mailto:zimmerman.johnh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23719/1529842",
          "accessURL": "https://doi.org/10.23719/1529842",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1529536",
          "accessURL": "https://doi.org/10.23719/1529536",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-30",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Linked remote sensing and Long Short-Term Memory (LSTM) models reveal how surface water storage dynamics influence river discharge",
      "description": "Linked remote sensing and Long Short-Term Memory (LSTM) models reveal how surface water storage dynamics influence river discharge. This dataset is not publicly accessible because: It belongs to external collaborators. It can be accessed through the following means: The DOI for the final data release will be: (https://doi.org/10.5066/P14WYWSY). Format: The data will be housed at USGS's sciencebase.gov with an FGDC metadata .xml file as well as a csv file have been included along with model results for both remote sensing at the SWAT model subbasins. A link should be included on ScienceHub that will direct users to USGS's sciencebase. The DOI for the final data release will be: (https://doi.org/10.5066/P14WYWSY) ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532080",
      "keyword": [
        "LSTM machine learning",
        "surface water storage",
        "remote sensing",
        "sentinel time-series"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [],
      "modified": "2025-03-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data release for remotely sensed surface water storage shows distinct patterns from SWAT-simulated data",
      "description": "subbasins for the Upper MIssissippi River Basin and total surface water storage estimates from remote sensing and from SWAT estimates. This dataset is not publicly accessible because: Data was generated by external co-authors and will be posted on Sciencebase https://www.sciencebase.gov/catalog/item/6785551fd34ec3ce63796a66. It can be accessed through the following means: https://www.sciencebase.gov/catalog/item/6785551fd34ec3ce63796a66 in the repository for reviewers to access the data. The DOI for the final data release will be: 10.5066/P14WAHYW. Data files will be located this address. Format: FGDC metadata .xml file as well as a csv file have been included along with model results for both remote sensing at the SWAT model subbasins. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531978",
      "keyword": [
        "sentinel time-series",
        "remote sensing",
        "SWAT comparison",
        "surface water storage"
      ],
      "contactPoint": {
        "fn": "Jay Christensen",
        "hasEmail": "mailto:christensen.jay@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-03",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Estimated PM-attributable and wildfire-related premature deaths",
      "description": "Estimated counts of wildfire-related premature deaths. \n\nThis dataset is associated with the following publication:\nLaw, B.E., J.T. Abatzoglou, C.R. Schwalm, D. Byrne, N. Fann, and N.J. Nassikas. Anthropogenic climate change contributes to wildfire particulate matter and related mortality in the United States.   Communications Earth & Environment. Springer Nature, LONDON,  UK, 6(1): 336, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531997",
      "keyword": [
        "BenMAP - CE",
        "wildfire"
      ],
      "contactPoint": {
        "fn": "Neal Fann",
        "hasEmail": "mailto:fann.neal@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OFAVXL",
          "accessURL": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OFAVXL",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-02-10",
      "references": [
        "https://doi.org/10.1038/s43247-025-02314-0",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12048342"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OFAVXL"
      },
      "accessRights": "public"
    },
    {
      "title": "Altering Emission Data Precision on Efficiency and Accuracy of Simulations of CMAQ Data",
      "description": "The emission data which includes area and point sources, are directly from the 2016 CMAQ US CONUS domain (stored on atmos asm system, /asm/MOD3DATA/2016_12US1/emis/cb6r3_ae6_20190221). This dataset is not publicly accessible because: the data is too large for ScienceHub to host it. It can be accessed through the following means: contact the corresponding author. Format: netCDF format. \n\nThis dataset is associated with the following publication:\nWalters, M., and C. Wong. The impact of altering emission data precision on compression efficiency and accuracy of simulations of the community multiscale\nair quality model.   Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 16(4): 1179–1190, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526422",
      "keyword": [
        "data compression",
        "CMAQ",
        "O3",
        "PM25"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-01",
      "references": [
        "https://doi.org/10.5194/gmd-16-1179-2023",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864273"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "biomass burning model input",
      "description": "WRF driven data:\n  6-hourly National Centers for Environmental Prediction Final operational global analysis data\n\ninitial and boundary conditions:\n  daily average Hemispheric CMAQ output in 2015 provided by the US EPA\n\nemission data:\n  * EGGAR version 5 for the base year 2015 with a grid resolution of 0.1 deg x 0.1 deg\n  * the global fire emission database version 4 for the biomass burning emission in 2015. This dataset is not publicly accessible because: The data is owned by the authors and they do want to be shared. It can be accessed through the following means: send a request to the corresponding author: Prof. Jimmy Fung, majfung@ust.hk. Format: All data is in netCDF format\r\n\r\nWRF driven data: \r\n  6-hourly National Centers for Environmental Prediction Final operational global analysis data \r\n\r\ninitial and boundary conditions:\r\n  daily average Hemispheric CMAQ output in 2015 provided by the US EPA \r\n\r\nemission data: \r\n  * EGGAR version 5 for the base year 2015 with a grid resolution of 0.1 deg x 0.1 deg\r\n  * the global fire emission database version 4 for the biomass burning emission in 2015. \n\nThis dataset is associated with the following publication:\nHuang , Y., X. Lu , J. Fung , D. Wong, Z. Li , Y. Chen, and W. Chen. Investigating Southeast Asian biomass burning by the WRF-CMAQ two-way coupled model: Emission and direct aerosol radiative effects.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 294: 119521, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531928",
      "keyword": [
        "PM25",
        "biomass burning",
        "direct aerosol radiative effects",
        "WRF-CMAQ coupled model"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2022-12-31",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119521",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chlorine study dataset",
      "description": "Emission and other input to run the CMAQ model for this particular study. This dataset is not publicly accessible because: Own by the collaborators. It can be accessed through the following means: send a request to the corresponding author. Format: netCDF format. \n\nThis dataset is associated with the following publication:\nYi, X., G. Sarwar, J. Bian, L. Huang, Q. Li, S. Jiang, H. Liu, Y. Wang, H. Chen, T. Wang, J. Chen, A. Saiz-Lopez, D. Wong, and L. Li.  Significant Impact of Reactive Chlorine on Complex Air Pollution Over the Yangtze River Delta Region, China.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union. Washington, DC, USA, 128: e2023JD038898, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532421",
      "keyword": [
        "O3",
        "Chlorine",
        "CMAQ",
        "YRD"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2023-06-01",
      "references": [
        "https://doi.org/10.1029/2023jd038898",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864322"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Peripubertal exposure to oxyfluorfen, a diphenyl herbicide, delays pubertal development by antagonizing androgen receptor activity.",
      "description": "This data set provides means and variance for all figures included in the manuscript. \n\nThis dataset is associated with the following publication:\nMurr, A., A. Buckalew, G. DeVane, J. Bailey, J. Ford, L. Gray, and T. Stoker. Peripubertal exposure to oxyfluorfen, a diphenyl herbicide, delays pubertal development in the male rat by antagonizing androgen receptor activity..   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  203(2): 206-215, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532031",
      "keyword": [
        "oxyfluorfen",
        "Thyroid Hormones",
        "androgen receptors",
        "puberty"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub-Peripubertal exposure to oxyfluorfen-ToxSci2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532031/Science%20Hub-Peripubertal%20exposure%20to%20oxyfluorfen-ToxSci2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-30",
      "references": [
        "https://doi.org/10.1093/toxsci/kfae144"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Formaldehyde observations inform AQ monitoring strategies for ozone and related photochemical oxidants Data  ",
      "description": "The links in this ScienceHub entry provide a path to access archived data collected by EPA ORD researchers contributing to this publication. These include datasets collected in Olympic Park, Seoul, Republic of Korea; Taehwa Mountain, Republic of Korea; and along Long Island Sound in Connecticut and New York. These data collection efforts contributed to the larger field measurement missions named KORUS-AQ and LISTOS.\n\nThe data files relevant to this publication are those archiving ground-based in situ formaldehyde data measurements and the Pandora level 0 radiance measurements, from which total column formaldehyde is retrieved, and compared to that retrieved from airborne and satellite-based radiance measurements.\n\nEach dataset has a DOI included in its metadata, with contract information for relevant principal investigators and data managers. These DOI are generated by NASA and by the Pandonia Global Network through collaborations with EPA Office of Research and Development. \n\nThis dataset is associated with the following publication:\nTravis, K., J.M. Judd, J. Crawford, G. Chen, J. Szykman, A. Whitehill, L. Valin, E. Spinei, S.J. Janz, C. Nowlan, A. Fried, H. Kwon, and J. Walega. Can column formaldehyde observations inform air quality monitoring strategies for ozone and related photochemical oxidants?.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 127(13): e2022JD036638, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1526542",
      "keyword": [
        "Formaldehyde",
        "Ozone",
        "air quality",
        "satellite"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.pandonia-global-network.org/",
          "accessURL": "https://www.pandonia-global-network.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq?GROUND-NIER-OLYMPIC-PARK=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq?GROUND-NIER-OLYMPIC-PARK=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-WESTPORT=1",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos?GROUND-WESTPORT=1",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-07-01",
      "references": [
        "https://doi.org/10.1029/2022jd036638"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ambient NO2 and formaldehyde vertical column retrieved from Pandora sun photometer collected radiances and in situ measurements derived from mid-IR spectroscopy. ",
      "description": "The links in this ScienceHub entry provide a path to access archived data collected by EPA ORD researchers contributing to this publication. These include datasets collected in  New Jersey, Connecticut and New York. These data collection efforts contributed to the larger Long Island Sound Tropospheric Ozone Study (LISTOS), 2023. \n\nThe data files relevant to this publication are those archiving ground-based in situ formaldehyde data measurements and the Pandora level 0 radiance measurements, from which total column formaldehyde is retrieved, and compared to that retrieved from airborne and satellite-based radiance measurements.\n\nEach dataset has a DOI included in its metadata, with contract information for relevant principal investigators and data managers. These DOI are generated by NASA and by the Pandonia Global Network through collaborations with EPA Office of Research and Development. \n\nThis dataset is associated with the following publication:\nTao, M., A. Fiore, A. Karambelas, P. Miller, L. Valin, L. Judd, M. Tzortziou , A. Whitehill, A. Teora, Y. Tian, K. Civerolo, D. Tong, S. Ma, S. Adamo, and T. Holloway. Insights Into Summertime Surface Ozone Formation From Diurnal Variations in Formaldehyde and Nitrogen Dioxide Along a Transect Through New York City.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 130(9): e2024JD040922, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532423",
      "keyword": [
        "ozone formation",
        "air pollution",
        "Diurnal patterns",
        "nitrogen dioxide",
        "Formaldehyde"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos.2023",
          "accessURL": "https://www-air.larc.nasa.gov/cgi-bin/ArcView/listos.2023",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://data.pandonia-global-network.org/",
          "accessURL": "https://data.pandonia-global-network.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-01",
      "references": [
        "https://doi.org/10.1029/2024jd040922"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CONTAMINANTS OF EMERGING CONCERN IN SAMPLES COLLECTED IN GROUNDWATER UNDER THE INFLUENCE OF ONSITE SEPTIC SYSTEMS DATASET",
      "description": "Dataset summarizes the concentrations of CECs in groundwater impacted by onsite septic systems.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532362",
      "keyword": [
        "onsite septic systems",
        "pharmaceuticals",
        "groundwater",
        "sucralose"
      ],
      "contactPoint": {
        "fn": "Susan Glassmeyer",
        "hasEmail": "mailto:glassmeyer.susan@epa.gov"
      },
      "distribution": [
        {
          "title": "Falmouth and Barnstable Data Sets_rev1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532362/Falmouth%20and%20Barnstable%20Data%20Sets_rev1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-23",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ShahSanjivkumar_HS.402.1.1.22 _Data-Metadata_Development of HTM-Yp-Ft_Manuscript-20250507",
      "description": "A High-throughput Method (HTM) for processing Sponge-Stick Samples to detect Bacillus anthracis - spore-forming biothreat agent for anthrax - was recently developed. The current dataset is for a manuscript which describes how the High-throughput Method (HTM) developed for the spore-forming biothreat agent was adapted and evaluated for the non-spore forming biothreat agents, Yersinia pestis (causes Plague) and Francisella tularensis (causes Tularemia). \n\nThis dataset is associated with the following publication:\nBrisson, V., S. Kane, M. Calfee, S. Cendrowski, and S. Shah. Evaluation of a High-Throughput Processing Method for Sponge-Stick Samples to Detect Viable, Non-Spore-Forming Biothreat Agents.   JOURNAL OF MICROBIOLOGICAL METHODS. Elsevier Science Ltd, New York, NY, USA, 236: 107194, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532260",
      "keyword": [
        "emergency response",
        "high throughput",
        "Sample Processing",
        "Methods development",
        "plague"
      ],
      "contactPoint": {
        "fn": "Sanjivkumar Shah",
        "hasEmail": "mailto:shah.sanjiv@epa.gov"
      },
      "distribution": [
        {
          "title": "MANUSC~1.DOC",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532260/MANUSC~1.DOC",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SHAHSA~1.DOC",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532260/SHAHSA~1.DOC",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-07",
      "references": [
        "https://doi.org/10.1016/j.mimet.2025.107194"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS in Delaware Bay Bivalves",
      "description": "PFAS data in bivalves from the Delaware Bay. This dataset is not publicly accessible because: Not EPA data. It can be accessed through the following means: Contact Miling Li, University of Delaware - https://www.miling-li.com/. Format: NA. \n\nThis dataset is associated with the following publication:\nJones, S.E., N. Gutkowski, S. Demick, M. Curello, A. Pavia, A. Robuck, and M. Li. Assessing Bivalves as Biomonitors of Per- and Polyfluoroalkyl Substances in Coastal Environments.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(10): 5202 - 5213, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532314",
      "keyword": [
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Anna Robuck",
        "hasEmail": "mailto:robuck.anna@epa.gov"
      },
      "distribution": [],
      "modified": "2025-05-01",
      "references": [
        "https://doi.org/10.1021/acs.est.4c11215"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatial Stream Network Object Supporting Stream Temperature Model for Penobscot River Basin, Maine, USA",
      "description": "High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are an SSN object with catchment covariates, associated Python code and metadata.  At this point model development has not been initiated.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532399",
      "keyword": [
        "shading",
        "Penobscot River",
        "temperature model",
        "streams"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/15782221",
          "accessURL": "https://zenodo.org/records/15782221",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PythonPrograms.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/PythonPrograms.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Readme2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/Readme2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_SSN_predictionpoints.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_predictionpoints.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_SSN_observationsite.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_observationsite.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_SSN_edges.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/Penobscot_SSN_edges.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Miller_etal_2018_data_manipulation_protocol.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/Miller_etal_2018_data_manipulation_protocol.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataDictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532399/DataDictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Penobscot River, Maine, USA Shade Buffers Dataset with Metadata",
      "description": "High resolution spatial stream network (SSN) models are needed to predict stream temperature distributions across large basins at a fine scale, to identify thermal refuge areas for conservation and protection, and to predict the effects of weather variation and management actions on coldwater habitat.  EPA has been working with the Penobscot tribe and Maine Temperature Monitoring Working Group to plan development of a fine scale temperature model for the Penobscot River basin in Maine.  This suite of datasets with supporting Python code provides calibration and prediction covariates for a fine resolution SSN model for the Penosbscot.  Included are  estimates of effective shade from both topographic and vegetation features for different upstream extents (based on both distance and time of travel).  At this point model development has not been initiated.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532398",
      "keyword": [
        "shading",
        "Penobscot River",
        "temperature model",
        "streams"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/15782008/",
          "accessURL": "https://zenodo.org/records/15782008/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Shade_Joins_050624.html",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Shade_Joins_050624.html",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Readme.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Readme.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_ShadeBuffers_PredictionPts_Time.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Penobscot_ShadeBuffers_PredictionPts_Time.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_ShadeBuffers_PredictionPts_Distance.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Penobscot_ShadeBuffers_PredictionPts_Distance.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_ShadeBuffers_ObservationSites_Time.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Penobscot_ShadeBuffers_ObservationSites_Time.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Penobscot_ShadeBuffers_ObservationSites_Distance.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Penobscot_ShadeBuffers_ObservationSites_Distance.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fuller_etal_JAWRA3_SI3ShadeBuffer_Protocol.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532398/Fuller_etal_JAWRA3_SI3ShadeBuffer_Protocol.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Figures 1-3 and example code for Observed chlorophyll vs. Sentinel 2 estimated chlorophyll",
      "description": "This dataset provides example code for regression analysis of observed versus estimated chlorophyll from Sentinel 2 satellite imagery based on three different algorithms.  In addition, data used in the production of figures 1-3 of Wolters et al. (2025) Evaluation of atmospheric preprocessing methods and chlorophyll algorithms for Sentinel 2 imagery in coastal waters, submitted to journal Remote Sensing.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532412",
      "keyword": [
        "estuary",
        "remote sensing",
        "Algorithms",
        "chlorophyll",
        "atmospheric correction"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "regression code sample (003).docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532412/regression%20code%20sample%20%28003%29.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Mishra40.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532412/Mishra40.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MDN40.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532412/MDN40.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Gons74040.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532412/Gons74040.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2021GHpilot_FinalRawData_RAPIDS",
      "description": "The data presented in the workbook were from a ACESD/CEMM/ORD 2021 research project conducted in mesocosms in the greenhouse to examine relationships between the presence/absence of oysters (Crassostrea virginica) and ambient/tempered seawater on the growth of eelgrass, Zostera marina.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531782",
      "keyword": [
        "eelgrass",
        "oysters",
        "water temperature",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Suzanne Ayvazian",
        "hasEmail": "mailto:ayvazian.suzanne@epa.gov"
      },
      "distribution": [
        {
          "title": "2021GHpilot_FinalRawData_RAPIDS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531782/2021GHpilot_FinalRawData_RAPIDS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531782/documents/Directory%20for%202021GHpilot_FinalRawData_RAPIDS.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical and isotopic analyses of metasomatized ultramafic xenoliths and Quaternary backarc lavas from southern Peru",
      "description": "Newly recovered xenoliths from the modern backarc region in southern Peru were collected to investigate the metasomatic history of the northern Altiplano lithosphere and improve constraints on the formation of recent potassic magmatism in the region. The xenoliths described here were collected from a Quaternary latite lava flow near Huarocondo, Peru and include calcite-bearing phlogopite-orthopyroxenites, harzburgites, a wehrlite, and a phlogopite schist. Xenoliths were analyzed for C and O stable isotope ratios of calcite,  H stable isotope ratios of phlogopite, and Sr isotope ratios of calcite, silicates, and phlogopite separates. Mineral chemical analyses where performed on orthopyroxenite and harzburgite xenoliths via electron microbrobe, and bulk rock trace element analyses of all xenoliths were performed via ICPMS. New bulk rock major and trace element analyses of four Quaternary lavas flows belonging to the Rumicolca Formation are also presented. For a detailed discussion of the research motivation, geologic background, analytical techniques, and interpretations, please refer to the related publication. \n\nThis dataset is associated with the following publication:\nHiett, C., D. Newell, and J. Shervais. Metasomatism and Melting of Cordilleran Lithosphere Resulting From Sediment Relamination During Shallow Subduction.   Geochemistry, Geophysics, Geosystems (G3). American Geophysical Union, Washington, DC, USA, 26(7): e2025GC012300, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532051",
      "keyword": [
        "mantle metasomatism",
        "xenoliths",
        "alkaline volcanism",
        "Altiplano",
        "Andes",
        "stable isotopes"
      ],
      "contactPoint": {
        "fn": "Coleman Hiett",
        "hasEmail": "mailto:hiett.coleman@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ecl.earthchem.org/view.php?id=3074",
          "accessURL": "https://ecl.earthchem.org/view.php?id=3074",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-01",
      "references": [
        "https://doi.org/10.1029/2025gc012300"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lithium-Ion Battery discharging using commonly available salts for application in field use.",
      "description": "Transportation of damaged, defective, or recalled (DDR) lithium-ion batteries (LIBs) of is an important emerging issue as the use of electronic vehicles (EVs) and other LIB based items proliferate. Additionally, since these battery cathodes are made up of lithium nickel manganese cobalt oxide (NMC), lithium iron phosphate (LFP), lithium manganese oxide (LMO), and lithium cobalt oxide (LCO), there is an interest in the safe recovery of critical minerals, such as lithium, cobalt, and nickel, and other scarce resources from this source. These DDR LIBs must be de-energized to safe voltage levels, identified as below 1.0 V, to reduce the risk of fire and explosion during transport from crash sites, floods, wildfires, etc. Sodium chloride (NaCl) solutions are typically used to electrochemically discharge LIBs, but these solutions can cause battery terminals to corrode, leading to solid residue, fluoride ion buildup, release of toxic gases to the air, and release of corrosion solids and battery electrolytes into the solution. Because of these drawbacks, alternatives for discharging DDR LIBs must be sought. In this project, different LIB discharge methods identified in the literature will be tested for their ability to adequately de-energize DDR LIBs to a safe level, and the environmental effects of these methods (e.g., off-gassing, waste, etc.) will be evaluated to find an effective, safe, and environmentally-sound replacement for NaCl solutions. The potential alternatives that have been identified are iron sulfate (FeSO4), sodium bicarbonate (NaHCO3), magnesium chloride (MgCl2), sodium hydroxide (NaOH) and sugar. These were specifically identified as each is readily available are common grocery or home goods stores and would thus be available to on-scene coordinators responding to a disaster scene. The environmental impact of these different discharging methodologies will be evaluated via the analysis of any byproduct formation and monitoring of physical battery condition during discharge. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532378",
      "keyword": [
        "Critical Minerals",
        "Lithium-ion batteries",
        "corrosion",
        "recycling"
      ],
      "contactPoint": {
        "fn": "Souhail Al-Abed",
        "hasEmail": "mailto:al-abed.souhail@epa.gov"
      },
      "distribution": [
        {
          "title": "Metadata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532378/Metadata.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality dataset 2021_2023_Ayvazian",
      "description": "This Excel file contains data collected over three years (2021-2023) at the aquaculture farm in Potter Pond, RI, and one year (2023) at Pt Judith aquaculture farm in Pt Judith, RI. The data collected are chlorophyll a concentrations, turbidity, depth, clarity, weather variables, wind speed and direction, water flow speed and direction, nutrient concentrations.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532387",
      "keyword": [
        "aquaculture",
        "oysters",
        "phytoplankton",
        "chlorophyll",
        "nutrients"
      ],
      "contactPoint": {
        "fn": "Suzanne Ayvazian",
        "hasEmail": "mailto:ayvazian.suzanne@epa.gov"
      },
      "distribution": [
        {
          "title": "Water quality dataset 2021_2023_Ayvazian.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532387/Water%20quality%20dataset%202021_2023_Ayvazian.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"Impact of soil load on microorganism inactivation by 222 nm and 254 nm UVC radiation\" manuscript",
      "description": "Complete dataset for \"Impact of soil load on microorganism inactivation by 222 nm and 254 nm UVC radiation\" manuscript. \n\nThis dataset is associated with the following publication:\nRatliff, K., M. Calfee, A. Abdel-Hady, M. Monge, D. Aslett, and L. Oudejans. Impact of inoculum composition on bacteria and bacteriophage UVC inactivation at 222 nm and 254 nm.   Letters in Applied Microbiology. Blackwell Publishing, Malden, MA, USA, 78(7): ovaf090, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531013",
      "keyword": [
        "far-UVC",
        "treatment",
        "disinfection",
        "Ultraviolet"
      ],
      "contactPoint": {
        "fn": "Katherine Ratliff",
        "hasEmail": "mailto:ratliff.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "UVC soil load paper data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531013/UVC%20soil%20load%20paper%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-15",
      "references": [
        "https://doi.org/10.1093/lambio/ovaf090"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fluvial flooding and sea-level rise datasets related to benzo[a]pyrene transport at the Lower Darby Creek Area",
      "description": "Datasets include maps and excel spreadsheet data files used in modeling the combined impacts of fluvial flooding, mean higher high water tide, and sea level rise on sediment and contaminant transport at legacy landfills in the Lower Darby Creek Area (LDCA) Superfund site. \n\nThis dataset is associated with the following publication:\nWoznicki, S., J. Barber, J. Butcher, J. Essoka, H. Maureen, M. Mehaffey, B. Pluta, A. Shabani, and P. Whung. Compound Impacts of Fluvial Flooding and Sea-Level Rise on Benzo[a]pyrene Transport in the Lower Darby Creek Area Superfund\nSite, Pennsylvania, USA.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 5(7): 3613-3627, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532180",
      "keyword": [
        "Contaminated Sites",
        "sediment",
        "flooding",
        "Superfund"
      ],
      "contactPoint": {
        "fn": "Megan Mehaffey",
        "hasEmail": "mailto:mehaffey.megan@epa.gov"
      },
      "distribution": [
        {
          "title": "100_year_tif_maps.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/100_year_tif_maps.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDCA_BaPconcentration_Scenarios_Fig7.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/LDCA_BaPconcentration_Scenarios_Fig7.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TimeSeriesSandSiltClayWaterColumn_Fig6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/TimeSeriesSandSiltClayWaterColumn_Fig6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TimeSeriesSedimentWater_Fig5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/TimeSeriesSedimentWater_Fig5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDCA_SedimentDepthScenarios_Fig4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/LDCA_SedimentDepthScenarios_Fig4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LDCA_BaP_Initial_Concentration_Fig2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532180/LDCA_BaP_Initial_Concentration_Fig2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-16",
      "references": [
        "https://doi.org/10.1021/acsestwater.4c00814",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Survey of the Heath of Wisconsin, 2008 - 2013",
      "description": "The human-subjects dataset includes questionnaire responses, socioeconomic and other personal attributes, and neighborhood green-space metrics linked to individual respondents within a SAS database. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Request permission to work with individual-level data from the Survey of the Health of Wisconsin (SHOW) from Dr. Kristen Malecki, principal investigator, University of Wisconsin-Madison (kmalecki@wisc.edu). Format: The human-subjects dataset includes questionnaire responses, socioeconomic and other personal attributes, and neighborhood green-space metrics linked to individual respondents within a SAS database. \n\nThis dataset is associated with the following publication:\nTsai, W., L. Yngve, Y. Zhou , K. Beyer, A. Bersch, K. Malecki, and L. Jackson. Street-level neighborhood greenery linked to active transportation: A case study in Milwaukee and Green Bay, WI, USA.   LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 191: 103619, (2019).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:097"
      ],
      "identifier": "https://doi.org/10.23719/1393922",
      "keyword": [
        "eco-health",
        "Green space",
        "EnviroAtlas"
      ],
      "contactPoint": {
        "fn": "Laura Jackson",
        "hasEmail": "mailto:jackson.laura@epa.gov"
      },
      "distribution": [],
      "modified": "2016-04-25",
      "references": [
        "https://doi.org/10.1016/j.landurbplan.2019.103619"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Retrievals of vertically integrated nitrogen dioxide (NO2) and formaldehyde (HCHO) column abundances from Pandora UV/Visible solar and sky radiance observations",
      "description": "The links in this ScienceHub entry provide a path to access archived data collected by EPA ORD researchers contributing to this publication. These include datasets collected at a number of locations within the United States in collaboration with various state and local air monitoring agencies. \n\nThe data files relevant to this publication are those archiving the Pandora level 0 radiance measurements, from which total column formaldehyde is retrieved, and compared to that retrieved from airborne and satellite-based radiance measurements.\n\nEach dataset has a DOI included in its metadata, with contract information for relevant principal investigators and data managers. These DOI are generated by NASA and by the Pandonia Global Network through collaborations with EPA Office of Research and Development. \n\nThis dataset is associated with the following publication:\nRawat, P., J. Crawford, K. Travis, L.M. Judd, M.A. Demetillo, L. Valin, J. Szykman, A. Whitehill, E. Baumann, and T. Hanisco. Maximizing the scientific application of Pandora column observations of HCHO and NO2.   Atmospheric Measurement Techniques. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(13): 2899-2917, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532425",
      "keyword": [
        "Formaldehyde",
        "tropospheric column",
        "Pandora spectrometer",
        "air quality",
        "nitrogen dioxide",
        "data quality"
      ],
      "contactPoint": {
        "fn": "Lukas Valin",
        "hasEmail": "mailto:valin.lukas@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.pandonia-global-network.org/",
          "accessURL": "https://data.pandonia-global-network.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-27",
      "references": [
        "https://doi.org/10.5194/amt-18-2899-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GLIMPSE version 1 Users Guide figure data - June 2023",
      "description": "Data for figures involving model results in the \"Users' Guide for GLIMPSE: a Tool for Integrated Air-Climate-Energy Planning, Version 1.0\". ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529097",
      "keyword": [
        "energy",
        "co-reductions",
        "decision support",
        "air quality",
        "co-benefits",
        "climate change",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Daniel Loughlin",
        "hasEmail": "mailto:loughlin.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "graphics_for_GLIMPSEv1_UsersGuilde.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529097/graphics_for_GLIMPSEv1_UsersGuilde.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-05-23",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1529097/documents/scenarios_for_documentation.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NEXGDDP_CMIP6_OCONUS",
      "description": "This EnviroAtlas dataset contains projected change in 30-year normals in maximum temperature, minimum temperature, evapotranspiration, and precipitation, for Alaska, Hawaii, Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam and Commonwealth of the Northern Mariana Islands. This dataset was created using the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP), developed using Global Climate Models (GCMs) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) across four scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. \n\nThe NEX-GDDP-CMIP6 data was processed to calculate projected changes in six climatic variables for each season (fall, spring, summer, winter) and annually for five 30-year periods: \n\nrecent history  (1976-2005) to near-term future (2025-2054) \nrecent history  (1976-2005) to mid-century (2045-2074)\nrecent history  (1976-2005) to end-of-century (2070-2099)\nnear-term future (2025-2054) to mid-century (2045 to 2074)\nnear-term future (2025-2054) to end-of-century (2070 to 2099)\nThe six climatic variables included in the dataset are change in: \n\ntotal precipitation [in and fraction]\ntotal potential evapotranspiration [in and fraction]\nmaximum temperature [degF], and minimum temperature [degF]. \nThis data was then used to produce an NEX-GDDP-CMIP6 ensemble median for each variable for each HUC12. Not all GCMs downscaled in NEX-GDDP-CMIP6 had availability for every variable and scenario combination. Due to low historical values in precipitation and potential evapotranspiration, the data for Alaska is not available in fraction unit. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States.\n\nEnviroAtlas includes a user-friendly interactive map for data discovery, https://enviroatlas.epa.gov/enviroatlas/interactivemap.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532430",
      "keyword": [
        "climate",
        "maps",
        "climate change",
        "Alaska",
        "resilience",
        "Hawaii",
        "U.S. Territories"
      ],
      "contactPoint": {
        "fn": "Anna Jalowska",
        "hasEmail": "mailto:jalowska.anna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://enviroatlas.epa.gov/enviroatlas/interactivemap/?climateTimeSeries=Hist_Fall_Precip",
          "accessURL": "https://enviroatlas.epa.gov/enviroatlas/interactivemap/?climateTimeSeries=Hist_Fall_Precip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://epa.maps.arcgis.com/home/item.html?id=08ccf4766b8d4de3a3166cf0ed8f3c68",
          "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=08ccf4766b8d4de3a3166cf0ed8f3c68",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://epa.maps.arcgis.com/home/item.html?id=c1e704a9888b4faeabe53e26c0326f5a",
          "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=c1e704a9888b4faeabe53e26c0326f5a",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://epa.maps.arcgis.com/home/item.html?id=c2275d005d664f3f9cd090343ce9efe3",
          "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=c2275d005d664f3f9cd090343ce9efe3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://epa.maps.arcgis.com/home/item.html?id=6a1a24dc7f7d402fa15bae70d146d312",
          "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=6a1a24dc7f7d402fa15bae70d146d312",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-23",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/Climate_PET_NEXGDDP_OCONUS_final%20FORMAT_amj.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/Climate_Precip_NEXGDDP_OCONUS_final%20FORMAT_amj.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/Climate_Temp_NEXGDDP_OCONUS_final%20FORMAT_amj.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/ALASKA_metadata.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/GUAM_metadata.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/AMSAM_metadata.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/HAWAII_metadata.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/VIPR_metadata.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532430/documents/data_dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Environmental heterogeneity across an urban gradient influences detritus and nutrients within artificial containers and their associated vector Aedes sp. larvae in San Juan, Puerto Rico",
      "description": "Detrital inputs from the surrounding terrestrial environment provide essential nutrients that sustain mosquito populations in aquatic containers. The larvae of Aedes aegypti often develop in artificial habitats in urban areas but little is known about how that environment shapes their life history or phenotypic traits. We sampled mosquito larvae, container detritus, and suspended particulate organic matter in 44 locations across the San Juan Metropolitan Area urban gradient in Puerto Rico. We characterized the surrounding environment in terms of land cover, land use, and vegetation α diversity. We show that container detritus and nutrients are influenced by fine-scale environmental variations environment, affecting Ae. aegypti and its competitor Ae. mediovittatus larvae phenotypic traits and nutrient composition. \n\nThis dataset is associated with the following publication:\nReyes-Torres, L., R. de Jesus Crespo, A. Oczkowski, and D. Yee. Environmental heterogeneity across an urban gradient influences detritus and nutrients within artificial containers and their associated vector Aedes sp. larvae in San Juan, Puerto Rico.   JOURNAL OF MEDICAL ENTOMOLOGY. Entomological Society of America, Lantham, MD, USA, 62(4): 816–827, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532236",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "mosquito",
        "Children's Environmental Health"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/dataset/doi:10.5061/dryad.573n5tbkh",
          "accessURL": "https://datadryad.org/dataset/doi:10.5061/dryad.573n5tbkh",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-25",
      "references": [
        "https://doi.org/10.1093/jme/tjaf058"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bioenergy manuscript EMF37",
      "description": "No new EPA data were generated. This dataset is not publicly accessible because: The data will be released by the journal after publication of special issue. It can be accessed through the following means: The full set of data will be available via the Energy and Climate Change journal website. Format: This manuscript involves the analysis of data submitted by large number of modeling teams from different organizations in support of the Energy Modeling Forum 37 model intercomparison exercise. EPA's TIMES results are included, but were submitted to Science Hub previously (SI#354850). No additional EPA data were created in the development of this manuscript. \n\nThis dataset is associated with the following publication:\nSands, R., L. Wachs, P. Lamers, O. Bahn, R. Beach, M. Binsted, G. Blanford, Y. Cai, F. De La Chesnaye, J. Edmonds, L. Goke, C. Harris, C. Hoehne, G. Kim, P. Kyle, H. McJeon, R. Orvis, S. Showalter, A. Sinha, E. Starke, K. Vaillancourt, N. Victor, P. Volkmar, J. Weyant, and F. Wood. Bioenergy pathways within United States net zero CO2 emissions scenarios in the Energy Modeling Forum 37 study.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100209, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530688",
      "keyword": [
        "climate",
        "energy modeling",
        "Decarbonization",
        "Bioenergy"
      ],
      "contactPoint": {
        "fn": "Gyungwon Kim",
        "hasEmail": "mailto:kim.joyce@epa.gov"
      },
      "distribution": [],
      "modified": "2024-04-02",
      "references": [
        "https://doi.org/10.1016/j.egycc.2025.100209"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data to support Seasonal Assessment of SOA formed through Aqueous Pathways in the Eastern US",
      "description": "These data are extracted from output from the Community Multiscale Air Quality (CMAQ) model run with inputs and simulations generated by the EQUATES project. Pollutant concentrations are pulled from the model gridcell corresponding to Baltimore, Maryland, where the measurements for this study were taken. \n\nThis dataset is associated with the following publication:\nSapkota, S., P. Shekhar, B. Murphy, H. Pye, C. Hennigan, and M. El-Sayed. Seasonal Assessment of Secondary Organic Aerosol Formed through Aqueous Pathways in the Eastern United States.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(4): 876-887, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532374",
      "keyword": [
        "air quality",
        "public health",
        "CMAQ",
        "Wet Aerosls",
        "Nitrogen and Co-pollutants"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2014_Fall.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2014_Fall.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2017_Summer.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2017_Summer.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2016_Summer.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2016_Summer.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Summer.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Summer.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Spring.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Spring.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2014_Fall_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2014_Fall_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Spring_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Spring_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Summer_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Summer_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2017_Summer_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2017_Summer_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2016_Summer_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2016_Summer_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Winter_H2O.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Winter_H2O.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQv53_EQUATES_BALTIMORE_2015_Winter.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/CMAQv53_EQUATES_BALTIMORE_2015_Winter.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532374/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-16",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.4c00392",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208468"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "pKa Data-driven Insights to Multiple Linear Regression Hydrolysis QSARs: Applicability to Perfluorinated Alkyl Esters",
      "description": "Limited data is available for physicochemical properties and environmental fate parameters of PFAS chemicals, which are widely distributed in the environment and highly persistent. This work assesses available models for estimation of hydrolysis rates and pKa values for their predictive performance for PFAS chemicals. \n\nThis dataset is associated with the following publication:\nLazare, J., C. Stevens, E. Weber, and L. Shields. p Ka Data-Driven Insights into Multiple Linear Regression Hydrolysis QSARs: Applicability to Perfluorinated Alkyl Esters.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(23): 11745-11755, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531665",
      "keyword": [
        "kinetics",
        "PFAS",
        "hydrolysis",
        "qsar",
        "acid dissociation constant"
      ],
      "contactPoint": {
        "fn": "Caroline Stevens",
        "hasEmail": "mailto:stevens.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "Lazare_Hydrolysis-pKa-PFAS_SuppInfo_pKaTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531665/Lazare_Hydrolysis-pKa-PFAS_SuppInfo_pKaTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lazare_Hydrolysis-pKa-PFAS_SuppInfo_DescriptorCalcs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531665/Lazare_Hydrolysis-pKa-PFAS_SuppInfo_DescriptorCalcs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lazare_Hydrolysis-pKa-PFAS_SuppInfo_HydrolysisRateTables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531665/Lazare_Hydrolysis-pKa-PFAS_SuppInfo_HydrolysisRateTables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lazare_Hydrolysis-pKa-PFAS_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531665/Lazare_Hydrolysis-pKa-PFAS_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-16",
      "references": [
        "https://doi.org/10.1021/acs.est.4c11596"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2022&2023SaltPond_data_5-7-25",
      "description": "Gas fluxes (carbon dioxide, methane, nitrous oxide), sediment, environmental variables, nutrients, eelgrass and macroalgae data collected from coastal lagoons in southern Rhode Island in 2022 and 2023. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532292",
      "keyword": [
        "carbon storage",
        "eelgrass",
        "coastal lagoon",
        "salt pond",
        "water-air gas flux"
      ],
      "contactPoint": {
        "fn": "Suzanne Ayvazian",
        "hasEmail": "mailto:ayvazian.suzanne@epa.gov"
      },
      "distribution": [
        {
          "title": "2022&2023SaltPond_data_5-7-25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532292/2022%262023SaltPond_data_5-7-25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-07",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-spectral Images",
      "description": "Kazi Aminul Islam at Kennesaw State University is the owner of the analysis data. Contact the lead author at kislam4@kennesaw.edu. This dataset is not publicly accessible because: NGA Nextview and NASA Commercial Data Buy license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: N/A. Format: Original data files from WorldView. \n\nThis dataset is associated with the following publication:\nIslam, K., O. Abul-Hassan, H. Zhang, V. Hill, B. Schaeffer, R. Zimmerman, and J. Li. Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-Spectral Images.   Geomatics. MDPI, Basel,  SWITZERLAND, 5(3): 34, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531724",
      "keyword": [
        "water quality",
        "bathymetry",
        "seagrass",
        "satellite",
        "coastal ocean"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2024-08-15",
      "references": [
        "https://doi.org/10.3390/geomatics5030034"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data: A Methodology for Designing a Roof Rainwater Quality Sensing-Recording-Grading System Using Low-Cost Sensors Paired with Microcontroller Software",
      "description": "The data presented in this study are openly available within the manuscript and its Supporting Information Files. The quality assurance project plan (QAPP), the standard operating procedure (SOP), and the Arduino IDE program file related to the Mayfly version 1.0 data logger board will be available upon request.\n\nDetails on the summary of literature for prioritizing the contaminants of concerns related to roof rainwater harvesting; examples of QAQC equipment calibration or operational check log sheets; summary of the missing TEST sensor raw data; and statistical summary of the split clean data (Tables S1–S10). Research site location; low-cost sensors; data logger board; QAQC equipment; data cleaning approach; raw TEST sensor data compared with QAQC sensor data; logger box ambient condition data; and TEST sensors’ clean data along with the correlations among various combination of the three parameters (Figures S1–S8); additional reference.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532444",
      "keyword": [
        "rainwater sensor",
        "roof rainwater harvesting",
        "rainwater quality",
        "temperature",
        "conductivity"
      ],
      "contactPoint": {
        "fn": "Santosh Ghimire",
        "hasEmail": "mailto:ghimire.santosh@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/10.1021/acsestwater.5c00046",
          "accessURL": "https://pubs.acs.org/doi/10.1021/acsestwater.5c00046",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Log Sheets Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532444/Log%20Sheets%20Data.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "RawAndCleanDataAnalyses.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532444/RawAndCleanDataAnalyses.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Econometric study on the effects of biodiesel production on cropland expansion in the U.S.",
      "description": "This is the readme and metadata for the data entitled “Quantifying the Land-Use Change Due to Soybean-Based Biodiesel in the United States” by Miao et al., that was published in the journal Applied Economic Perspectives & Policy (https://onlinelibrary.wiley.com/doi/10.1002/aepp.70005).  The data shows the county FIPS code and the amount of soybean acreage increase and total cropland acreage increase from changes in soybean price and biodiesel production over 2011-2020.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531743",
      "keyword": [
        "land use change",
        "biofuels",
        "RFS Program",
        "soybean biodiesel",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Readme.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531743/Readme.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "soybean_and_total_bd_acres_both_re_06252024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531743/soybean_and_total_bd_acres_both_re_06252024.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "June 2025 Phytoplankton Counts from Southern Puget Sound and Surrounding Lakes",
      "description": "Tatters, A., S. Clark, and R. Labiosa. 2025.  June 2025 Phytoplankton Counts from Southern Puget Sound and Surrounding Lakes.\n\nThe phytoplankton counts and associated environmental conditions, collected with YSI probes, in this spreadsheet represent grab samples collected in southern Puget Sound and connected lakes in June 2025 in support of an EPA Region 10 ROAR project: Saving Puget Sound from Eutrophication (SPSE): Coupling River Basin Export Reduction Optimization Support Tool (RBEROST) with Dynamic SPARROW model.  They are covered by QAPP: J-ACESD-0034452-QP-1-0 and SOP #J‐GEMMD‐EDEB‐SOP‐4403‐1\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532434",
      "keyword": [
        "Freshwater",
        "harmful algal bloom",
        "Puget Sound",
        "Marine",
        "phytoplankton"
      ],
      "contactPoint": {
        "fn": "Naomi Detenbeck",
        "hasEmail": "mailto:detenbeck.naomi@epa.gov"
      },
      "distribution": [
        {
          "title": "PS_ROAR_62725_AOT_taxa_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532434/PS_ROAR_62725_AOT_taxa_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-25",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for final published version of Thermal treatment of hexafluoropropylene oxide dimer acid (HFPO-DA) using a pilot-scale research combustor.",
      "description": "This dataset contains final post-processed values used to generate all figures in the manuscript titled Thermal treatment of hexafluoropropylene oxide dimer acid (HFPO-DA) using a pilot-scale research combustor. \n\nThis dataset is associated with the following publication:\nWeber, N., G. West, W. Roberson, J. Mackie, J. Mattila, P. Burnette, M. Allen, W. Preston, B. Linak, and J. Krug. Thermal treatment of hexafluoropropylene oxide dimer acid (HFPO-DA) using a pilot-scale research combustor.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 495: 0, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532437",
      "keyword": [
        "HFPO-DA",
        "PFAS",
        "incineration",
        "PICs"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "HFPO-DA manuscript Figure datasets_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532437/HFPO-DA%20manuscript%20Figure%20datasets_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-29",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2025.138905"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF-CMAQ model data",
      "description": "Model results to examine ozone sensitivity to high energy demand in New York City. This dataset is not publicly accessible because: We don't have it. It can be accessed through the following means: Contact Alexandra Karambelas, Northeast States for Coordinated Air Use Management, Boston, MA. Format: Model results to examine ozone sensitivity to high energy demand in New York City. \n\nThis dataset is associated with the following publication:\nKarambelas, A., P. Miller, J. Underhill, J. Pleim, E. Zalewsky, and J. Jakuta. Ozone sensitivity to high energy demand day electricity and onroad emissions during LISTOS.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 74(11): 804-819, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532364",
      "keyword": [
        "Ozone",
        "electricity demand"
      ],
      "contactPoint": {
        "fn": "Jonathan Pleim",
        "hasEmail": "mailto:pleim.jon@epa.gov"
      },
      "distribution": [],
      "modified": "2024-10-31",
      "references": [
        "https://doi.org/10.1080/10962247.2024.2396400",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12199274"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for estimated losses of critical habitat from the LCMAP and causes of those changes. ",
      "description": "This data is from Lee et al. which used the LCMAP to estimate the amount of cropland expansion onto critical habitat in the U.S, and the causes of those land use changes. \n\nThis dataset is associated with the following publication:\nLee, Y.S., C. Clark, K. Austin, G. Martin, and C. Cowell. Conversion of species’ critical habitats and ranges in the U.S.: Contributions from ethanol production and other factors.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 389: 126050, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531735",
      "keyword": [
        "biofuels",
        "biodiversity",
        "land use change",
        "corn ethanol",
        "threatened and endangered species",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Science Hub.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531735/Data%20for%20Science%20Hub.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-21",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2025.126050"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BenthicHCB_datasets",
      "description": "The datasets including qPCR, water parameter and cyanotoxin measurements are for a manuscript \"Occurrence of Toxigenic Benthic Cyanobacteria revealed by Quantitative PCR in seven river/stream sites situated across the United States\". The cyanobacterial samples were collected from rivers/streams by 6 EPA region offices using various methods. The data can be referenced by the related states and others for estimating the risks of benthic cyanobacteria.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532231",
      "keyword": [
        "Microcoleus autumnalis",
        "occurrence",
        "Toxigenic Benthic Cyanobacteria",
        "Quantitative PCR",
        "River/Stream"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "BenthicHCB_datasets_VEric_updated.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532231/BenthicHCB_datasets_VEric_updated.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-09",
      "references": null,
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Laboratory simulated and natural rainfall dataset 2024",
      "description": "Indoor rainfall observations were conducted at the Environmental Protection Agency (EPA) Fluid Modeling Facility (FMF) laboratory (35.887°N, 78.841°W, 123 meters above sea level), which is located 3.2 miles east of the EPA Research Triangle Park (RTP) campus in Durham, North Carolina. For the outdoor rainfall collection another Parsivel2 disdrometer was installed on the EPA RTP campus (35.881°N, 78.871°W, 98 meters above sea level) in Durham, North Carolina, US. A total of ten daily rainfall events were collected from June 5 to July 29, 2024. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "identifier": "https://doi.org/10.23719/1531905",
      "keyword": [
        "DSD",
        "rainfall simulator",
        "intensity",
        "Microphysical characteristics",
        "Droplet",
        "drops",
        "Parsivel"
      ],
      "contactPoint": {
        "fn": "Lifeng Yuan",
        "hasEmail": "mailto:yuan.lifeng@epa.gov"
      },
      "distribution": [
        {
          "title": "TippingBucket.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/TippingBucket.txt",
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          "title": "figure6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/figure6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure5.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/figure5.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure4.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/figure4.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/figure3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "figure2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531905/figure2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-13",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Reis et al. \"Global terrestrial biological nitrogen fixation and its modification by agriculture\"",
      "description": "This dataset describes the estimates of gridded nitrogen fixation from various sources globally. The global gridded datasets of BNF generated here are available in the ScienceBase repository (https://www.sciencebase.gov/catalog/item/66a97480d34e07a119db3a37). The underlying BNF rate dataset in natural terrestrial biomes is also available in the ScienceBase repository (https://www.sciencebase.gov/catalog/item/66a97365d34e07a119db3a30). All other data are available from the databases cited or are in the main text or the supplementary materials. The links will be made active upon acceptance. Portions of this dataset are inaccessible because: See link above. They can be accessed through the following means: See link above. Format: See link above. \n\nThis dataset is associated with the following publication:\nReis Ely, C.R., S.S. Perakis, C.C. Cleveland, D.N.L. Menge, S.C. Reed, B.N. Taylor, S.A. Batterman, C.M. Clark, T.E. Crews, K.A. Dynarski, M. Gei, M.J. Gundale, D.F. Herridge, S.E. Jovan, S. Kou-Giesbrecht, M.B. Peoples, J. Piipponen, E. Rodríguez-Caballero, V.G. Salmon, F.M. Soper, A.P. Staccone, B. Weber, C.A. Williams, and N. Wurzburger. Global terrestrial nitrogen fixation and its modification by agriculture.   NATURE. Nature Portfolio, Berlin,  GERMANY, 643(8072): 705-711, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531890",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "symbiotic",
        "nutrient limitation",
        "BNF",
        "biological nitrogen fixation",
        "terrestrial"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/66a97480d34e07a119db3a37",
          "accessURL": "https://www.sciencebase.gov/catalog/item/66a97480d34e07a119db3a37",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-11-04",
      "references": [
        "https://doi.org/10.1038/s41586-025-09201-w"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Cleaning Biological Contamination using Laundering",
      "description": "After a wide-area biological contamination incident populations residing within minimally contaminated areas may be instructed to shelter-in-place and need to perform infection control within their homes. Previous research within HSMMD has found hot water laundering effective for the decontamination of Phi6 bacteriophage and hot water laundering + bleach effective for the decontamination of the B. anthracis surrogate Bg. This dataset expands upon previous work to include six different laundering methods, some including sanitizers, and four different microorganisms (Phi6, MS2, Klebsiella pneumoniae, and Staphylococcus aureus). The dataset includes eight different textiles.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532453",
      "keyword": [
        "sanitizers",
        "laundering",
        "Decontamination",
        "biological contamination",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Joy-Lynn Spinks",
        "hasEmail": "mailto:spinks.joylynn@epa.gov"
      },
      "distribution": [
        {
          "title": "Final Compiled Results_8_6_25.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532453/Final%20Compiled%20Results_8_6_25.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-06",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dynamics of SARS-CoV-2 Variants in Southwest Ohio Municipal Wastewater",
      "description": "The data set includes the sample metadata, quantitative data of measurements of SARS-CoV-2 gene fragments in wastewater and variant presence interpreted from sequence data. \n\nThis dataset is associated with the following publication:\nNagarkar, M., S. Keely, E. Wheaton, C. Hart, M. Jahne, J. Garland, E. Varughese, and N. Brinkman. Dynamics of SARS-CoV-2 Variants in Southwest Ohio Municipal Wastewater.   Environmental Science: Water Research & Technology. Royal Society of Chemistry, Cambridge,  UK, 11(6): 1494-1504, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532456",
      "keyword": [
        "wastewater surveillance",
        "SARS-CoV-2",
        "variant sequencing"
      ],
      "contactPoint": {
        "fn": "Stephen Musson",
        "hasEmail": "mailto:musson.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "WW_CoV-2_Sci-Hub_20250812.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532456/WW_CoV-2_Sci-Hub_20250812.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-11",
      "references": [
        "https://doi.org/10.1039/d5ew00169b"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2022 Grand Lake St. Marys flow cytometry data for planktothrix",
      "description": "This Dataset includes the spatial and temporal quantification of planktothrix cyanobacteria filaments within the canal and river system of St. Mary's, OH for the year 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532443",
      "keyword": [
        "flow cytometry",
        "planktothrix",
        "cyanobateria",
        "HABs"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub FlowCam Data GLSM 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532443/Sci%20Hub%20FlowCam%20Data%20GLSM%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2023 Grand Lake St. Marys flow cytometry data for planktothrix",
      "description": "This Dataset includes the spatial and temporal quantification of planktothrix cyanobacteria filaments within the canal and river system of St. Mary's, OH for the year 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532441",
      "keyword": [
        "flow cytometry",
        "planktothrix",
        "HABs",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub FlowCam Data 2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532441/Sci%20Hub%20FlowCam%20Data%202023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-29",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2022 Shanghai lockdown data",
      "description": "Emission input and other input for running CMAQ model. This dataset is not publicly accessible because: Own by the collaborators. It can be accessed through the following means: send a request to the corresponding author. Format: netCDF format. \n\nThis dataset is associated with the following publication:\nWang, Q., Y. Li, F. Zhong, W. Wu, H. Zhang, R. Wang, Y. Duan, Q. Fu, Q. Li, L. Wang, S. Yu, A. Mellouki, D. Wong, and J. Chen. Ground ozone rise during the 2022 Shanghai lockdown caused by the unfavorable emission reduction ratio of nitrogen oxides and volatile organic compounds.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 340: 120851, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532420",
      "keyword": [
        "lockdown",
        "nitrogen oxides",
        "VOC",
        "Ozone"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2024-06-01",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2024.120851",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864278"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fe-Mn biochar filtration columns for removal of co-existing sulfamethoxazole microplastics",
      "description": "This data set was obtained from lab experiments using Fe-Mn modified biochar (BFM) in fixed bed filtration columns to remove  polystyrene microplastics (PS-MPs) and sulfamethoxazole (SMX)  in both water (pH ≈ 5.6) and selected wastewater (pH ≈ 8). This dataset is not publicly accessible because: Not generated by EPA - owned by the University of Florida. It can be accessed through the following means: Contact Dr. Huang, Jinsheng <hjs92116@ufl.edu> of the University of Florida. Format: Excel files and images, 5 MB. \n\nThis dataset is associated with the following publication:\nHuang, J., A. Zimmerman, Y. Wan, X. Bai, H. Chen, Y.  Zheng , Y. Zhang , Y. Yang, Y. Fan, and B. Gao. Removal of sulfamethoxazole using Fe-Mn biochar filtration columns: Influence of co-existing polystyrene microplastics.   JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, USA, 477: 143877, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532300",
      "keyword": [
        "biochar",
        "microplastics",
        "antibiotics",
        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [],
      "modified": "2025-05-22",
      "references": [
        "https://doi.org/10.1016/j.jclepro.2024.143877",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864291"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sorption of caffeine from water by ball-milled spent coffee ground biochar",
      "description": "The data consist of caffeine sorption experimental data with spent coffee ground biochar, both pristine and ball-milled, as sorbents. This dataset is not publicly accessible because: Non-EPA-owned by the University of Florida. It can be accessed through the following means: Contact Dr. Yang, Yicheng from University of Florida at  <yicheng.yang@ufl.edu>. Format: Microsoft Excel file (about 3000 KB)\r\nImages (JPEGs) file (about 15MB). \n\nThis dataset is associated with the following publication:\nYang, Y., Y. Wan, J. Chen, H. Chen, Y. Li, R. Rafael Munoz-Carpena , Y.  Zheng , J. Huang, Y. Zhang , and B. Gao. Ball-milled spent coffee ground biochar effectively removes caffeine from water.   WATER. MDPI, Basel,  SWITZERLAND, 17(6): 881, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532244",
      "keyword": [
        "Ball milling",
        "wastewater treatment",
        "biochar",
        "Caffeine"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-30",
      "references": [
        "https://doi.org/10.3390/w17060881",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181942"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "N-doped hydrochar for heavy metal remediation",
      "description": "Hydrochar derived from the hydrothermal carbonization of wheat straw at 180 °C modified with 3-Aminopropyl triethoxysilane to enhance its versatile adsorption of Pb(II), Cu(II), methylene blue, and reactive red. This dataset is not publicly accessible because: Non-EPA data.  Owned by University of Florida. It can be accessed through the following means: Contact Dr. Zhang,Yue <zhangyue@ufl.edu> at the University of Florida. Format: Excel data and images files, about 5MB. \n\nThis dataset is associated with the following publication:\nZhang , Y., Y. Wan, Y.  Zheng , Y. Yang, J. Huang, H. Chen, J. Chen, A. Mosa, and B. Gao. Hydrochar loaded with nitrogen-containing functional groups for versatile removal of cationic and anionic dyes and aqueous heavy metals.   WATER. MDPI, Basel,  SWITZERLAND, 16(23): 3387, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532299",
      "keyword": [
        "biochar",
        "wastewater treatment",
        "heavy metals",
        "lead"
      ],
      "contactPoint": {
        "fn": "Yongshan Wan",
        "hasEmail": "mailto:wan.yongshan@epa.gov"
      },
      "distribution": [],
      "modified": "2025-05-22",
      "references": [
        "https://doi.org/10.3390/w16233387",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181946"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Overcoming Analytical Challenges of Other Test Method 50: Analysis of Volatile Fluorinated Compounds in Passivated Canisters from Stationary Source Emissions",
      "description": "This dataset includes spreadsheets containing raw data that were used to create the figures and tables in the publication. Target responses, retention times, and calculations associated with mass spectrometry analyses of Other Test Method 50 canister standards and samples are included. These data were used to construct calibration curves and to calculate percent recoveries and biases of target compounds in the presence of high carbon dioxide (CO2) levels. The dataset also include calculations of average concentrations, standard deviations, relative standard deviations, and percent recoveries for replicate injections to calculate method detection limits (MDLs) and to evaluate percent increases and in sample concentrations by analyzing samples using different thermal desorption method parameters. The data also include an evaluation of method precision, including averages, relative standard deviations, and percent differences between canister samples collected in the absence and presence of high CO2 levels. \n\nThis dataset is associated with the following publication:\nWallace, A., S. Jackson, B. Preston, L. Miles, H. Calder, S. Davies, and M. Cumbes. Overcoming analytical challenges of Other Test Method 50: Analysis of volatile fluorinated compounds in passivated canisters from stationary source emissions.   JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1759: 1, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531889",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "volatile fluorinated compounds",
        "Other Test Method 50",
        "source air emissions",
        "canister sampling",
        "gas chromatography-mass spectrometry (GC-MS)"
      ],
      "contactPoint": {
        "fn": "Michelle Wallace",
        "hasEmail": "mailto:wallace.ariel@epa.gov"
      },
      "distribution": [
        {
          "title": "FigureS1_20250729.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531889/FigureS1_20250729.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure S6_20250729.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531889/Figure%20S6_20250729.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Table 4_20250728.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531889/Table%204_20250728.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Table 3_20250728.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531889/Table%203_20250728.xlsx",
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        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531889/Figure%205_20250728.xlsx",
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      "title": "Episodic Eucalyptus Lung",
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      "identifier": "https://doi.org/10.23719/1531993",
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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      "title": "Serum metabolome and liver transcriptome reveal acrolein inhalation-induced sex-specific homeostatic dysfunction",
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    {
      "title": "Eucalyptus Wood Smoke Extract Elicits a Dose-Dependent Effect in Brain Endothelial Cells",
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    {
      "title": "Daphnia magna 4-day survival and growth test - supporting data 05-12-2025",
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    {
      "title": "RivNitrateLSTM",
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    {
      "title": "Chesapeake Bay Cafe Data",
      "description": "This study uses the hierarchical CAFE (Cropping system, Animal-crop system, Food system, and Ecosystem) framework to evaluate nutrient management performances within the Chesapeake Bay watershed. This dataset contains a three-decade, county-level nutrient budget  (1985–2019), which can be used to analyze the spatiotemporal patterns of N and P budgets, as well as N and P use efficiencies, within the four CAFE hierarchies. \n\nThis dataset is associated with the following publication:\nZou, T., E. Davidson, R. Sabo, G. MacDonald, and X. Zhang. Disparities in nitrogen and phosphorus management across time and space: a case study of the Chesapeake Bay using the CAFE framework.   Environmental Research Letters. IOP Publishing LIMITED, Bristol,  UK, Volume 19: 110016, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531967",
      "keyword": [
        "water quality",
        "Nitrogen and Co-pollutants",
        "surface water",
        "Chesapeake Bay",
        "air pollution",
        "Phosphorus and Nitrogen",
        "nitrogen",
        "Agriculture",
        "Urban Watersheds"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://iopscience.iop.org/article/10.1088/1748-9326/ad786c/meta",
          "accessURL": "https://iopscience.iop.org/article/10.1088/1748-9326/ad786c/meta",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-09-25",
      "references": [
        "https://doi.org/10.1088/1748-9326/ad786c",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11977706"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Tracking and Estimating Industrial Wastewater Transfers to Publicly Owned Treatment Works, Using an Integrative Plant-Wide Model\"",
      "description": "The Github Repository, https://github.com/perezdavid2024/ChemTEAPOTW or https://github.com/gruizmer/ChemTEAPOTW, named after the model (ChemTEAPOTW), is publicly available and referenced in supplementary information. This GitHub repository describes the computational framework overview, software requirements, model use, model output, and disclaimer.\nThe ChemTEAPOTW model considers industrial end-of-life (EoL) chemical transfers to a generic publicly owned treatment works (POTW) and simulates both conventional POTW processes and the fate and transport of chemicals of concern (CoC). The model is fed a generated influent profile, at a constant loading rate, listed in Table 1. The influent profile is generated using a modifiable phenomenological approach that considers wastewater flow rate contributions from households, industry, and rain infiltration that correspond to person equivalents (PE) within a catchment area, in this case 80,000 PE.  Thus, the influent profile is used to initiate the set of equations that simulate conventional treatment of organics and nutrients, detailed in the supplementary information, coupled with extension equations for CoC in the form of material balance equations unique for each submodel.\nThe list of equations and interface assumptions are included in the Github Repository (ChemTEAPOTW) as well as supplementary information. Also, the mass balance equation associated with the anaerobic digestion process encapsulates the transformation of input substances through the digester, leading to the calculation of off-gas (QOG) production (included in supplementary information). All stream volumetric flow-rates, CoC concentration values, physicochemical properties, and equipment specifications from the case study are found in the POTW_Dataset_Manuscript Case Study.xlsx file. \n\nThis dataset is associated with the following publication:\nPerez, D., J.D. Chea, T. Abichou, R.L. Smith, and G.J. Ruiz-Mercado. Tracking chemical releases in wastewater systems: An integrated plant-wide model for publicly owned treatment works.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 393: 126862, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532103",
      "keyword": [
        "Chemicals of concern",
        "Environmental Releases",
        "Occupational exposure pathways",
        "Publicly owned treatment works (POTWs)"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/perezdavid2024/ChemTEAPOTW",
          "accessURL": "https://github.com/perezdavid2024/ChemTEAPOTW",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/gruizmer/ChemTEAPOTW",
          "accessURL": "https://github.com/gruizmer/ChemTEAPOTW",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Perez_POTW chemical tracking Supporting Info (SI) 03-04-25.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532103/Perez_POTW%20chemical%20tracking%20Supporting%20Info%20%28SI%29%2003-04-25.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "POTW_Dataset_Manuscript Case Study.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532103/POTW_Dataset_Manuscript%20Case%20Study.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-20",
      "references": [
        "https://doi.org/10.1016/j.jenvman.2025.126862"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Analytical Analysis for Assessment of Pb and As bioaccessibility and relative bioavailability",
      "description": "These data were collected by the EPA Toxic Element Bioavailability Laboratory and consists of lead (Pb) and/or arsenic (As) mouse tissue, soil, aqueous soil leachate, and spectroscopy data. \nThe mouse-based assay for assessment of lead and arsenic in vivo mouse bioavailability in soil and dust is a critical tool needed to improve our understanding of the factors affecting the metal’s uptake across the gastrointestinal barrier and to evaluate the efficacy of methods used to remediate lead and/or arsenic contaminated media.  The mouse assay has been optimized to yield accurate, reproducible, and reliable estimates of the in vivo mouse bioavailability of lead and/or arsenic in soil and dust.\nThe reported Pb/As data is used to assess the total, bioaccessible, and bioavailable concentrations resulting from exposure to soils. These data were collected using EPA Methods 1340, 3050b, 6010d, and 6020b. These quantitative characterization data are then paired with X-ray absorption spectroscopy data that is used to deduce the valence, coordination environment, and mineral/sorbed phase of the element of interest. These data are collected at a synchrotron facility by our team and then processed at EPA ORD using previously established methods (e.g., Sowers et al., 2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532461",
      "keyword": [
        "relative bioavailability",
        "arsenic",
        "lead",
        "soil"
      ],
      "contactPoint": {
        "fn": "Matthew Blackmon",
        "hasEmail": "mailto:blackmon.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "2025a_TEB-Data_clearance_v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532461/2025a_TEB-Data_clearance_v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-15",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data release for integrating remotely sensed surface water dynamics in hydrologic signature modeling",
      "description": "Variability in river discharge, particularly very high flow and low flow conditions, has far-reaching environmental and economic consequences. The retention of water in surface storage, concentrated in lakes, ponds, wetlands, floodplains, and temporary water in flood prone areas, can potentially contribute to flow generation and flood regulation. However, the impact of surface water storage on river discharge can be challenging to isolate and quantify. A suite of hydrologic signatures were generated for 72 gages across the conterminous United States. The hydrologic signatures were selected to characterize all flows as well as isolating high and low flows, and machine learning models were developed to explain watershed variability in signature values. Wetland related variables, including multi-sensor-based surface water extent and hydroperiod, were compared with other drivers, including climate, topography, and land cover. An improved understanding of how surface water dynamics influence river discharge can be used to improve the resilience of river systems to climate extremes. \n\nThis dataset is associated with the following publication:\nVanderhoof, M., P. Nieuwlandt, H. Golden, C. Lane, J. Christensen, W. Keenan, and W. Dolan. Relating surface water dynamics in wetlands and lakes to spatial variability in hydrologic signatures.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 33(53): 1-36, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532454",
      "keyword": [
        "floods",
        "drought",
        "stream discharge metrics",
        "geographically isolated wetlands",
        "Floodplain",
        "hydrologic signatures",
        "wetlands",
        "lakes",
        "Non-floodplain wetlands"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9RLFMEQ",
          "accessURL": "https://doi.org/10.5066/P9RLFMEQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-12-31",
      "references": [
        "https://doi.org/10.1007/s11273-025-10066-z"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Zostera marina florigen genetics",
      "description": "Data: all sequencing data were deposited to the National Center for Biotechnology Information Sequence Read Archive under BioProject number PRJNA1251697. All alignments, scripts, population metadata, genotypes (filtered and unfiltered), and quantitative reverse-transcription PCR results are available on Dryad at the following link: https://doi.org/10.5061/dryad.sbcc2frh0.\n\nCode: this study does not report any original code.\n\nAdditional information: any additional information required to reanalyze or use the data reported in this article is available from the lead contact upon request. \n\nThis dataset is associated with the following publication:\nNolan, C., I. Campbell, A. Farrell-Sherman, B. Briones Ortiz, C. Yang, K. Naish, V. Di Stilio, J. Kaldy, C. Donoghue, J. Ruesink, and T. Imaizumi. Florigen and antiflorigen gene expression correlates with reproductive state in a marine angiosperm, Zostera marina.   iScience. Elsevier B.V., Amsterdam,  NETHERLANDS, 28(8): 113082, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531808",
      "keyword": [
        "climate change",
        "antiflorigen",
        "Zostera marina",
        "florigen",
        "Flowering"
      ],
      "contactPoint": {
        "fn": "James Kaldy",
        "hasEmail": "mailto:kaldy.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/dataset/doi:10.5061/dryad.sbcc2frh0",
          "accessURL": "https://datadryad.org/dataset/doi:10.5061/dryad.sbcc2frh0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-08-14",
      "references": [
        "https://doi.org/10.1016/j.isci.2025.113082",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309962"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata: Modification of Associations Between PM2.5 and Vital Signs by β-Blocker Prescription Status Among Individuals with Heart Failure",
      "description": "The data contains electronic health records and PM2.5 exposure data in tabular format. The data contains information on vital measurements (heart rate and blood pressure), dates of hospitalizations, medication usage, and individual level demographics. This dataset is not publicly accessible because: The data contains PHI and PII which cannot be uploaded to ScienceHub or exported from their secure environment. It can be accessed through the following means: The data can be accessed by contacting Cavin Ward-Caviness or through a request to NC TraCS with appropriate approved IRB application. Format: The data contains electronic health records and PM2.5 exposure data in tabular format. The data contains information on vital measurements (heart rate and blood pressure), dates of hospitalizations, medication usage, and individual level demographics. \n\nThis dataset is associated with the following publication:\nNarain, M., M. Breen, A. Carll, M. Hazari, A. Farraj, and C. Ward-Caviness. Modification of Associations Between PM2.5 and Vital Signs by β-Blocker Prescription Status Among Individuals with Heart Failure.   ENVIRONMENTAL HEALTH. BioMed Central Ltd, London,  UK, 24: 55, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532194",
      "keyword": [
        "vital signs",
        "medications",
        "pm2.5",
        "interactions",
        "heart failure"
      ],
      "contactPoint": {
        "fn": "Cavin Ward-Caviness",
        "hasEmail": "mailto:ward-caviness.cavin@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-03",
      "references": [
        "https://doi.org/10.1186/s12940-025-01203-5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12333237"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EPA Data Contributed to Khan et al. (2025) manuscript \"Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2\"",
      "description": "This dataset contains the EPA-generated M3Dry, M3Dry-psn, and STAGE single point model data contributed to support the externally-led analysis in the manuscript \"Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2\". \n\nThis dataset is associated with the following publication:\nKhan, A., O. Clifton, J. Bash, S. Bland, N. Booth, P. Cheung, L. Emberson, J. Fleming, E. Fredj, S. Galmarini, L. Ganzeveld, O. Gazetas, I. Goded, C. Hogrefe, C. Holmes, L. Horváth, V. Huijnen, Q. Li, P. Makar, I. Mammarella, G. Manca, W. Munger, J.L. Perez Camanyo, J. Pleim, L. Ran, R. San Jose, D. Schwede, S. Silva, R. Staebler, S. Sun, A. Tai, E. Tas, T. Vesala, T. Weidinger, Z. Wu, L. Zhang, and P. Stoy. Ozone dry deposition through plant stomata: Multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(15): 8613–8635, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532305",
      "keyword": [
        "Ozone Dry Deposition",
        "AQMEII",
        "Stomatal Conductance",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "DataDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532305/DataDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "KhanEtAl_EPA_Data_M3Dry_M3Drypsn_STAGE.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532305/KhanEtAl_EPA_Data_M3Dry_M3Drypsn_STAGE.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-27",
      "references": [
        "https://doi.org/10.5194/acp-25-8613-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532305/documents/DataDictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "An integrated approach to coupled nutrient and microbial source tracking in an agricultural watershed",
      "description": "metadata entry for publication. Portions of this dataset are inaccessible because: data uploaded in ScienceHub. They can be accessed through the following means: contact first author on the paper. Format: Excel data file containing sampling locations, names, and all sampling data (nutrient, nitrate isotope, E. coli, and microbial source tracking data. \n\nThis dataset is associated with the following publication:\nZimmer-Faust, A., C. Brown, O. Shanks, W. Rugh, T.C. Mochon Collura, and H. Stecher. An integrated approach to coupled nutrient and microbial source tracking in an agricultural watershed.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, (272): 122981, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532037",
      "keyword": [
        "Bacteria",
        "Co-Pollutants",
        "Microbial Source Tracking",
        "nitrate isotope",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Cheryl Brown",
        "hasEmail": "mailto:brown.cheryl@epa.gov"
      },
      "distribution": [
        {
          "title": "ZimmerFaust et al 2025 for Science Hub_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532037/ZimmerFaust%20et%20al%202025%20for%20Science%20Hub_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-01",
      "references": [
        "https://doi.org/10.1016/j.watres.2024.122981"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Heat and housing effects on cardiopulmonary and behavior response to wildfire smoke",
      "description": "This is the complete dataset of the study MF_21_1, which investigates the impact of high living temperatures and housing on cardiopulmonary and behavioral function in mice and subsequent response to eucalyptus wildfire smoke. \n\nThis dataset is associated with the following publication:\nFiamingo, M., T. Jackson, S. Toler, W. Oshiro, K. McDaniel, L. Klein, K. Lee, P. Evansky, I. Gilmour, A. Farraj, and M. Hazari. The Impacts of Housing Conditions on the Cardiopulmonary and Neurobehavioral Responses of Mice to High Temperature and Wildfire Smoke.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(22): 10929-10943, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531691",
      "keyword": [
        "cardiovascular disease",
        "heat",
        "Housing",
        "mouse",
        "Wildfire smoke",
        "climate change",
        "Environmental Justice"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "MF_21_1_complete data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531691/MF_21_1_complete%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-19",
      "references": [
        "https://doi.org/10.1021/acs.est.5c01360"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GL_19_2 complete data ",
      "description": "Study raw data used to generate manuscript figures/tables. \n\nThis dataset is associated with the following publication:\nFiamingo  (Fyle) same person, M., G. Little, M. Harmon, B.L. Martin, W. Oshiro, K. McDaniel, Y.H. Kim, I. Gilmour, A. Farraj, and M. Hazari. The impact of housing and high-fructose diet on behavior and cardiovascular response to eucalyptus wildfire smoke in WKY rats.   JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A:  CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA,  1-20, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532262",
      "keyword": [
        "diet",
        "Housing",
        "cardiovascular",
        "behavior"
      ],
      "contactPoint": {
        "fn": "Mehdi Hazari",
        "hasEmail": "mailto:hazari.mehdi@epa.gov"
      },
      "distribution": [
        {
          "title": "GL_19_2 full data set.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532262/GL_19_2%20full%20data%20set.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-30",
      "references": [
        "https://doi.org/10.1080/15287394.2025.2543936"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EMF37 Data",
      "description": "This dataset includes model ensemble results for the EMF37 study. \n\nThis dataset is associated with the following publication:\nBistline, J., M. Binstead , G. Blanford, G. Boyd, M. Browning, Y. Cai, J. Edmonds, A. Fawcett, J. Fuhrman, R. Gao, C. Harris, C. Hoehne, G. Iyer, J. Johnson, O. Kaplan, D. Loughlin, M. Mahajan, T. Mai, J. McFarland, H. McJeon, M. Melaina, S.S. Mousavi, M. Muratori, R. Orvis, A. Prabhu, C. Rossmann, R. Sands, L. Sarmiento, S. Showalter, A. Sinha, E. Starke, E. Stewart, K. Vaillancourt, J. Weyant, F. Wood, and M. Yuan. Policy implications of net-zero emissions: A multi-model analysis of United States emissions and energy system impacts.   Energy and Climate Change. Elsevier B.V., Amsterdam,  NETHERLANDS, 6: 100191, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532229",
      "keyword": [
        "emissions",
        "Decarbonization",
        "model incomparison",
        "climate change",
        "Model Comparison"
      ],
      "contactPoint": {
        "fn": "Pervin Kaplanakman",
        "hasEmail": "mailto:kaplan.ozge@epa.gov"
      },
      "distribution": [
        {
          "title": "https://epri.app.box.com/s/rl8ix379rhhzoq05c1t6kalo5gdh6ak8",
          "accessURL": "https://epri.app.box.com/s/rl8ix379rhhzoq05c1t6kalo5gdh6ak8",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-11",
      "references": [
        "https://doi.org/10.1016/j.egycc.2025.100191",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208526"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Conley 2024 Maternal and fetal effects of PFO5DoA and PFO4DA Dataset",
      "description": "Summary data (mean, standard error, sample size) for all maternal and fetal endpoints reported in the manuscript from experiments with the novel, long-chain PFAS PFO5DoA and PFO4DA. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, J. Bangma, J. Ford, D. Jenkins-Hill, and L. Gray. Long-chain perfluoroalkylether carboxylic acids PFO5DoA and PFO4DA alter glucose, bile acid, and thyroid hormone homeostasis in fetal rats from 5-day maternal oral exposure.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 236(3): 120210, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531877",
      "keyword": [
        "Children's Environmental Health",
        "in vivo",
        "hazard identification",
        "Adverse Outcome Pathways (AOPs)",
        "children's health",
        "human health",
        "PFAS",
        "health effects"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0013935124021170-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0013935124021170-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-22",
      "references": [
        "https://doi.org/10.1016/j.envres.2024.120210",
        "https://pasteur.epa.gov/uploads/10.23719/1531877/documents/1-s2.0-S0013935124021170-mmc1.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531877/documents/ConleyJustin_D-xppq_Dataset_Dictionary_2024-11-22.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Annual 2016 CMAQ version 5.2.1 model simulation applied for a domain covering the CONUS using 12 km sized horizontal grid cells. ",
      "description": "The entire year of 2016 is modeled with CMAQ version 5.2.1 (doi:10.5281/zenodo.1212601). The chosen simulation is evaluated extensively for air quality and meteorology performance. CMAQ is applied for a domain covering the CONUS using 12 km sized horizontal grid cells. The vertical atmosphere is resolved with 35 layers extending from the surface to the tropopause with finer resolution in the planetary boundary layer to better capture diurnal variation in mixing height. The Carbon Bond 6 revision 3 gas phase chemical mechanism, ISORROPIA II inorganic aerosol thermodynamics, aqueous phase cloud chemistry, and wet and dry depositional processes are included in the simulation. Primary organic aerosol is treated as non-volatile. SOA formation is described by semi-volatile partitioning of lumped gas-phase groups that include benzene, toluene, xylenes, naphthalene, monoterpenes, isoprene, and sesquiterpenes and particle-phase oligomerization. AqSOA is formed from glyoxal, glyoxal analogues (methylglyoxal and glycolaldehyde), and isoprene epoxydiols. Biogenic emissions are estimated using the Biogenic Emission Inventory System (BEIS) version 3.6.1 Anthropogenic emissions are based on the 2016 emissions modeling platform developed by the U.S. EPA. Lateral boundary inflow is extracted from a coarser scale model simulation that covered the northern hemisphere. Meteorological inputs from the Weather Research and Forecasting (WRF) model version 3.8 are used to develop biogenic emissions and drive atmospheric dynamics using the same domain and projection specifications as the CMAQ model simulation. This dataset is not publicly accessible because: This data has been previously made available to the public as part of a Federal rulemaking. It can be accessed through the following means: Docket EPA-HQ-OAR-2022-0829 “Modeling Input Files for the Air Quality and Benefits Analysis for the Light and Medium Duty Vehicle (LMDV) Multipollutant Final Rule (FRM)”. Format: The CMAQ model output files are netCDF format and include header metadata information describing all variables and variable units on the file. \n\nThis dataset is associated with the following publication:\nSmith, E., K. Baker, M. El-Sayed, C. Hennigan, S. Rosanka, and A. Carlton. Gas-Phase Water-Soluble Organic Carbon: CMAQ Model Evaluation in Baltimore County.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(6): 1501-1509, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532466",
      "keyword": [
        "CMAQ",
        "OVOCs",
        "Mist chambers",
        "air quality",
        "Water-soluble organic gases"
      ],
      "contactPoint": {
        "fn": "Kirk Baker",
        "hasEmail": "mailto:baker.kirk@epa.gov"
      },
      "distribution": [],
      "modified": "2024-01-01",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.4c00379",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12183779"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ and PCAPS predicted air quality impacts offshore emissions sources",
      "description": "The Community Multiscale Air Quality (CMAQ) model version 5.4 (epa.gov/cmaq) was applied with 12 km sized grid cells for a domain covering the conterminous U.S. and areas offshore. The vertical atmosphere was resolved up to 50 mb with 35 layers. Vertical layers were thinner nearest the surface to best resolve diurnal fluctuation in the surface mixing layers. Lateral boundary inflow was extracted from a hemispheric scale simulation for the same year. Meteorological inputs were developed with the Weather Research and Forecasting model version 3.8.1 applied with the same grid domain as the photochemical model. The Pattern Constructed Air Pollution Surfaces (PCAPS) model has been applied for complex sector-specific emissions scenarios for stationary and mobile sources and predicted air quality results consistent with more sophisticated models. PCAPS version 1.1 was applied for each year between 2024 and 2031 with year-specific offshore wind project and EGU emissions. PCAPS was also applied using the same offshore wind and onshore EGU emissions for the 2026 and 2055 scenarios simulated with CMAQ to allow for a direct comparison of results. \n\nThis dataset is associated with the following publication:\nBaker, K., R.B. Rice, and N. Fann. Characterizing Air Quality Impacts Related to North Atlantic Offshore Emissions Sources.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(7): 1369-1378, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532467",
      "keyword": [
        "Offshore Wind",
        "pm2.5",
        "air quality",
        "O3",
        "electricity generation"
      ],
      "contactPoint": {
        "fn": "Kirk Baker",
        "hasEmail": "mailto:baker.kirk@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.regulations.gov/docket/EPA-HQ-OAR-2022-0829",
          "accessURL": "https://www.regulations.gov/docket/EPA-HQ-OAR-2022-0829",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "files.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532467/files.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-01",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00179",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261499"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Particle dry Deposition algorithms in CMAQ v5.3: characterization of critical parameters and land use dependence",
      "description": "This study investigates particle dry deposition by characterizing critical parameters and land-use dependence in a 0-D box model as well as quantifying the resulting impact of dry deposition parameterizations on regional-scale 3-D model predictions. A publicly available box model configured with several land-use dependent dry deposition schemes is developed to evaluate predictions of several model approaches with available measurements. The 0-D box model results suggest that current dry deposition schemes in 3-D regional models underestimate particle dry deposition velocities, but this varies with size distribution properties and land-use categories. We propose two new schemes to improve dry deposition performance in air quality models and test them in the Community Multiscale Air Quality (CMAQ) model. The first scheme improves the previous CMAQ scheme by preserving the original dry deposition impaction calculation but turning off redundant integration across particle size for each aerosol mode. The second scheme adds a dependence on leaf area index (LAI) to better estimate uptake to vegetative surfaces while using a settling velocity that is integrated across particle size for the Stokes number calculation. CMAQ model performance was evaluated for a month in July 2011 for the conterminous U.S. based on available observations of ambient sulfate (SO42-) aerosol concentrations from multiple routine particulate matter monitoring networks. Incorporation of the first scheme has a larger impact on coarse particles than fine particles, systematically reducing monthly domain-wide average particle dry deposition velocities (〖 V〗_d) by approximately 96% and 35%, respectively, and increasing monthly average SO4 concentrations by 395% and 21%. After incorporating LAI into the boundary layer resistance (R_b), the second scheme creates more spatial diversity of V_d and changes SO4 concentrations (coarse = -76% to +336%; fine = -7% to +18%) with land-use categories. These improvements are incorporated into the current publicly available version of CMAQ (v5.3 and beyond). \n\nThis dataset is associated with the following publication:\nShu, Q., B. Murphy, D. Schwede, B. Henderson, H. Pye, K.W. Appel, T. Khan, and J. Perlinger. Improving the particle dry deposition scheme in the CMAQ photochemical modeling system.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 289: 119343, (2022).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:094"
      ],
      "identifier": "https://doi.org/10.23719/1521268",
      "keyword": [
        "SOA",
        "pm2.5",
        "PM2.5 air quality modeling",
        "Semivolatile Organic Compounds (SVOCs)",
        "Biogenic VOC"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.1212601",
          "accessURL": "https://doi.org/10.5281/zenodo.1212601",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.4749758",
          "accessURL": "https://doi.org/10.5281/zenodo.4749758",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.4749636",
          "accessURL": "https://doi.org/10.5281/zenodo.4749636",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-02-10",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2022.119343",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11864309"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Associated datasets for manuscript",
      "description": "Data accompanies manuscript. \n\nTitle: Impact of heat on respiratory hospitalizations among older adults living in 120 large US urban areas. \n\nThis dataset is associated with the following publication:\nO'Lenick, C., S. Cleland, L. Neas, M. Turner, E. Mcinroe, K. Hill, A. Ghio, M. Rebuli, i. Jaspers, and A. Rappold. Impact of Heat on Respiratory Hospitalizations among Older Adults in 120 Large US Urban Areas.   Annals of the American Thoracic Society. American Thoracic Society, New York, NY, USA, 22(3): 367-377, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531809",
      "keyword": [
        "climate change",
        "Environmental Justice",
        "climate",
        "public health",
        "aging population",
        "respiratory health"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "CBSA_details.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531809/CBSA_details.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-04",
      "references": [
        "https://doi.org/10.1513/annalsats.202405-470oc",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11892670",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/SDMP_Heat_Resp_120cities.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/cbsa_name_by_division_supplemental_table.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/RRS_pooled_allgroups_alloutcomes_by_CBSA.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/RRs_pooled_allgroups_alloutcomes_final.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE1_other_dx_top5.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE2_temp_summary_by_div_climate.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE3_met_correlation_summary.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE4_MHT_MHP_I2.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE5_meteorology_summary.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE6_RR_AN_AR_HI_mean.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Supp_TableE8b_CBSA_RR_AN_HEAT_INDEX.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Table1_counts_by_primarydx.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Table2_outcomes_summary.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/Table3_pooled_RR_AN_AR_TEMP_mean.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1531809/documents/CBSA_120_climate_zones_and_divisions.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Impact of heat on respiratory hospitalizations among older adults living in 120 large US urban areas ",
      "description": "Associated R scripts that create manuscript and supplementary figures, as well as the data tables that correspond to the research publication. \n\nThis dataset is associated with the following publication:\nO'Lenick, C., S. Cleland, L. Neas, M. Turner, E. Mcinroe, K. Hill, A. Ghio, M. Rebuli, i. Jaspers, and A. Rappold. Impact of Heat on Respiratory Hospitalizations among Older Adults in 120 Large US Urban Areas.   Annals of the American Thoracic Society. American Thoracic Society, New York, NY, USA, 22(3): 367-377, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531872",
      "keyword": [
        "climate change",
        "Environmental Justice",
        "climate",
        "public health",
        "aging population",
        "respiratory health"
      ],
      "contactPoint": {
        "fn": "Ana Rappold",
        "hasEmail": "mailto:rappold.ana@epa.gov"
      },
      "distribution": [
        {
          "title": "Manuscript_Table_Supplementary_Figures.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531872/Manuscript_Table_Supplementary_Figures.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-20",
      "references": [
        "https://doi.org/10.1513/annalsats.202405-470oc",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11892670"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Systematic evidence mapping of the impact of water quality stressors on coral reef health",
      "description": "The U.S. Coral Reef Task Force (USCRTF) coordinates on-the-ground coral reef protection work, including helping coral reef jurisdictions manage the impacts of water quality on coral reef ecosystems. Water quality stressors such as nutrients, sediments, temperature, dissolved oxygen, metals, and others are known to have deleterious effects on a variety of individual and population scale coral reef endpoints. This dataset was developed by the EPA Office of Research and Development, in partnership with the USCRTF, to comprehensively synthesize the current body of information relating water quality measurements to coral reef ecosystem condition. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532469",
      "keyword": [
        "evidence map",
        "Coral Reef",
        "Stressors",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Roxolana Kashuba",
        "hasEmail": "mailto:kashuba.roxolana@epa.gov"
      },
      "distribution": [
        {
          "title": "Coral Reef Water Quality Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532469/Coral%20Reef%20Water%20Quality%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stated Preference Data for Salmon Recovery",
      "description": "This is the underlying data used to generate the willingness-to-pay estimates for salmon recovery in the publication \"Valuing Wild Salmon and Steelhead Recovery in Oregon’s Most Urbanized Watershed.\". \n\nThis dataset is associated with the following publication:\nPapenfus, M., and M. Weber. Valuing Wild Salmon and Steelhead Recovery in Oregon's Most Urbanized Watershed.   ECOLOGICAL ECONOMICS. Elsevier Science Ltd, New York, NY, USA, 236: 108540, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532042",
      "keyword": [
        "Nonuse Value",
        "Threatened Species",
        "Stated Preference",
        "Salmon conversation",
        "non-market valuation"
      ],
      "contactPoint": {
        "fn": "Michael Papenfus",
        "hasEmail": "mailto:papenfus.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "salmon_long_finalData2.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532042/salmon_long_finalData2.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-15",
      "references": [
        "https://doi.org/10.1016/j.ecolecon.2025.108540"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532042/documents/variable_definitions.txt",
        "mediaType": "text/plain"
      },
      "accessRights": "public"
    },
    {
      "title": "2023 Grand Lake St. Marys qPCR data for microcystin producers",
      "description": "This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532462",
      "keyword": [
        "HABs",
        "planktothrix",
        "qPCR",
        "microcystin"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub qPCR Data GLSM 2023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532462/Sci%20Hub%20qPCR%20Data%20GLSM%202023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-12",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for the Evaluation of a Sustainable Technology to Immobilize PFAS Compounds in Soils",
      "description": "An innovative and sustainable immobilization remediation strategy concept for managing per- and polyfluoroalkyl (PFAS)-impacted soils was investigated at bench-scale. This approach involved the use of protein-based materials that are often considered waste products to serve as chemical (stabilization) sorbents, followed by cement binder (solidification), to explore their potential as a solidification/stabilization (immobilization) remediation process. The results of this immobilization study indicated that GAC, as a chemical stabilization agent, effectively reduced the leachability of PFAS compounds from an impacted soil. Minimal additional reduction in leachability was observed upon cement addition (solidification). While the blood meal sorbent was less effective than GAC as a stabilization agent, it did decrease leachability for the majority of the detected PFAS compounds in the soil. However, some of the PFAS compounds exhibited increased leachability post-treatment. Addition of cement as a solidification agent generally decreased the leachability for most of the detected PFAS compounds. Overall, this study suggests that protein-based sorbents, specifically blood meal, with solidification by cement addition may be a novel and sustainable remediation approach for certain PFAS-impacted soils, warranting further investigation into optimization strategies and potential field-scale applications. \n\nThis dataset is associated with the following publication:\nMcKernan, J.L., E. Barth, K. Dasu, D. Cutt, S. Hartzell, J. Lilly, K.R. Sims, D. Siriwardena, and E.M. Kaltenberg. Investigation of a novel protein-based immobilization process for PFAS contaminated soils.   Total Environment Engineering. Elsevier B.V., Amsterdam,  NETHERLANDS, 4: 100031, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531952",
      "keyword": [
        "contaminated soil",
        "Contaminated Sediment",
        "Solidification",
        "stabilization",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "John McKernan",
        "hasEmail": "mailto:mckernan.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Adsorption isotherms No Buffer Part 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531952/Adsorption%20isotherms%20No%20Buffer%20Part%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Adsorption Isotherms with pH Buffer.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531952/Adsorption%20Isotherms%20with%20pH%20Buffer.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Results_Soil Treatability and SPLP-Paper2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531952/Results_Soil%20Treatability%20and%20SPLP-Paper2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Sorption Isotherm study-Buffer-Experiement Design.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531952/Sorption%20Isotherm%20study-Buffer-Experiement%20Design.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "Sorption Isotherm-No Buffer and Kinetic Study_Experiment Design.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531952/Sorption%20Isotherm-No%20Buffer%20and%20Kinetic%20Study_Experiment%20Design.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-18",
      "references": [
        "https://doi.org/10.1016/j.teengi.2025.100031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Heat, Humidity, and Adverse Birth Outcomes: Quantification of Projected Risks in the Contiguous United States",
      "description": "This is the data for Heat, Humidity, and Adverse Birth Outcomes: Quantification of Projected Risks in the Contiguous United States\n\nResearch increasingly demonstrates relationships between higher apparent temperatures, inclusive of heat and humidity, and greater rates of preterm birth (PTB), term low birth weight (tLBW), and stillbirth cases. Through leveraging available epidemiological studies, we estimated the change in burden of these outcomes across the contiguous United States (CONUS) and throughout the 21st century during warm season months (i.e., May through September or October). We projected an additional 4,500 PTBs, 3,800 tLBWs, and 420 stillbirths at 1°C of CONUS warming attributable to changes in apparent temperature relative to baseline climatic conditions (1985-2006). These cases increased to 22,000 PTBs, 18,000 tLBWs, and 2,000 stillbirths with 4°C of warming relative to the baseline. We projected the most significant changes in per capita rates to occur in Gulf Coast states, where baseline risks currently are among the highest in the CONUS. Across the three outcomes, we projected an increase in short-term healthcare costs following birth of approximately US$690 million annually at 1°C of warming, increasing to US$3.3 billion annually at 4°C (2023 dollars). When considering the economic burden of the infant deaths resulting from PTB and tLBW cases, we projected additional costs on the order of US$3.9 billion annually at 1°C, and US$35.8 billion annually at 4°C. Due to data availability, our valuation could not account for potential longer-term health and productivity implications or pain and suffering that families may experience following the adverse birth outcomes analyzed. This dataset is not publicly accessible because: Data will be updated upon acceptance by a journal. It can be accessed through the following means: Data will be provided at a later date. Format: Data will be updated upon acceptance by a journal",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532432",
      "keyword": [
        "maternal health",
        "fetal health",
        "apparent temperature"
      ],
      "contactPoint": {
        "fn": "Caitlin Gould",
        "hasEmail": "mailto:gould.caitlin@epa.gov"
      },
      "distribution": [],
      "modified": "2025-07-24",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/AT%20manuscript%20code.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Rates.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Rates.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_LOCA_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Rates.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_GCM%20Average%20MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Rates.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20National%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Cases.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/6.16_staticPop_MH%20Apparent%20Temperature%20PTB-LBW-Stillbirth%20State%20Costs.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/2010%20Census%20Counties.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/State%20Crosswalk.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/ICLUS_2_Final.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_training_1986-2005_count_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_MPI-ESM1-2-HR_ssp585_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_EC-Earth3-Veg_ssp585_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_GFDL-ESM4_ssp585_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_NorESM2-MM_ssp585_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_ACCESS-CM2_ssp585_at.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_training_1986-2005_count_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_MPI-ESM1-2-HR_ssp585_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_GFDL-ESM4_ssp585_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_ACCESS-CM2_ssp585_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_EC-Earth3-Veg_ssp585_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/LOCA_proj_NorESM2-MM_ssp585_at_LOCAhumidity.csv",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/CONUS%20Temp%20Bins%20CMIP6.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/MH%20valuation_5.30_AT.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/probability%20PTB%2C%20LBW.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/1532432/documents/CMIP6%20Annual%20VSL%20Projection%20Elas_1.xlsx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EnviroAtlas - Public outdoor recreational area (per capita) within walking distance for the conterminous United States",
      "description": "This EnviroAtlas dataset measures accessibility (i.e., proximity or nearness) of public outdoor recreational areas within an 800 meter walk (approximately 1/2 mile or 10-minute walk) along walkable routes and availability as the area of outdoor recreational space provided per person who can access it. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze many datasets related to ecosystem services. The dataset is available as downloadable data or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets) or journal article (https://doi.org/10.1016/j.landurbplan.2025.105445).\n\nThis dataset is associated with the following publication: Killea, A., Baynes, J., Ebert, D., & Neale, A. (2025). Measuring access to and availability of outdoor recreational opportunities: One pixel at a time. Landscape and Urban Planning, 263, 105445. \n\nThis dataset is associated with the following publication:\nKillea, A., J. Baynes, D. Ebert, and A. Neale. Measuring access to and availability of outdoor recreational opportunities: One pixel at a time.   LANDSCAPE AND URBAN PLANNING. Elsevier Science Ltd, New York, NY, USA, 263: 105445, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532188",
      "keyword": [
        "Greenspace",
        "public health",
        "Public Outdoor Recreation Areas",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Jeremy Baynes",
        "hasEmail": "mailto:baynes.jeremy@epa.gov"
      },
      "distribution": [
        {
          "title": "https://enviroatlas.epa.gov/download/PADUS_AR_PAAA_10m_20250221.tif.zip",
          "accessURL": "https://enviroatlas.epa.gov/download/PADUS_AR_PAAA_10m_20250221.tif.zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PORA_Access_and_Availability_H3_Level_9_metadata.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532188/PORA_Access_and_Availability_H3_Level_9_metadata.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PAD_US_AR_RandomSubset_Compare_Vector_Raster_ServiceAreas.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532188/PAD_US_AR_RandomSubset_Compare_Vector_Raster_ServiceAreas.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PAD_US_AR_RandomSubset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532188/PAD_US_AR_RandomSubset.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-21",
      "references": [
        "https://doi.org/10.1016/j.landurbplan.2025.105445"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from Greenhouse Trials for 11 Enhanced Efficiency Fertilizers (Clark et al.)",
      "description": "This is the greenhouse data for Clark et al. \"Environmental sustainability of future fertilizers: Tradeoffs between ammonia volatilization and nitrate leaching for 11 enhanced efficiency fertilizers.\" The data quantifies the environmental performance (NH3 volatilization, N leaching) and agronomic performance (yield) for 11 enhanced efficiency fertilizers on two soil types (Minnesota sandy loam, Iowa clay loam). Yield results are published separately (Dolda et al. in review) but are included here for completeness. See Table S1 in the publication to cross reference brand names with active ingredients. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532182",
      "keyword": [
        "Agriculture",
        "fertilizer",
        "nitrogen",
        "air quality",
        "Ammonia Volatilization",
        "water quality",
        "yield",
        "nitrate leaching"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [
        {
          "title": "MASTER_IFDC Data_Main Measurements.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532182/MASTER_IFDC%20Data_Main%20Measurements.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-02",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Including dispersive shear stress in urban environments for single column dispersion models",
      "description": "The data files consist of measurements gathered from EPA's Meteorological Wind Tunnel Laboratory and Large Eddy Simulations (LES).  Comparisons are made to the existing formulations in AERMOD, the EPA’s preferred Gaussian dispersion model. A data dictionary for each figure is provided in the zipped file package. \n\nThis dataset is associated with the following publication:\nRetter, J., D. Heist, M. Pirhalla, C. Owen, W. Tang, T. Odom, and L. Brouwer. Including Dispersive Shear Stress in Urban Environments for Single Column Dispersion Models.   BOUNDARY-LAYER METEOROLOGY. Springer, New York, NY, USA, 191(9): 39, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532410",
      "keyword": [
        "Atmospheric turbulence",
        "boundary layer",
        "dispersion modeling",
        "Shear stress",
        "wind tunnel",
        "Data Analysis"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Retter-etal_2025_WindTunnel_BLM_Dataset.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532410/Retter-etal_2025_WindTunnel_BLM_Dataset.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": [
        "https://doi.org/10.1007/s10546-025-00924-x"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2022 Grand Lake St. Marys qPCR data for microcystin producers",
      "description": "This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2022.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532463",
      "keyword": [
        "microcystin",
        "HABs",
        "planktothrix",
        "qPCR"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub qPCR Data GLSM 2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532463/Sci%20Hub%20qPCR%20Data%20GLSM%202022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-01",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Model Code Associated with \"Challenges for extrapolation of risk from ingestion to inhalation exposure for per- and polyfluorinated alkyl acids and their precursors\"",
      "description": "This ScienceHub entry contains a zip file with the pharmacokinetic modeling code used for the linked publication, \"Challenges for extrapolation of risk from ingestion to inhalation exposure for per- and polyfluorinated alkyl acids and their precursors.\" The model code is written in R with a .model file written in the MCSim language. The inhalation pharmacokinetic model builds on a previous publication of Bernstein et al., \"A Model Template Approach for Rapid Evaluation and Application of Physiologically Based Pharmacokinetic Models for Use in Human Health Risk Assessments: A Case Study on Per- and Polyfluoroalkyl Substances\" https://doi.org/10.1093/toxsci/kfab063",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532470",
      "keyword": [
        "Risk Assessment",
        "pharmacokinetics",
        "toxicokinetics",
        "PFAS",
        "inhalation"
      ],
      "contactPoint": {
        "fn": "Michael Dzierlenga",
        "hasEmail": "mailto:dzierlenga.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "PFAS_inhalation_PBPK_template.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532470/PFAS_inhalation_PBPK_template.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gray 2025 Phthalate transcriptomic and apical points of departure dataset",
      "description": "Dataset includes all endpoint measurements from studies described in the manuscript and SAS code for statistical analyses of data. \n\nThis dataset is associated with the following publication:\nGray, L., C. Lambright, N. Evans, J. Ford, and J. Conley. Comparison of in utero phthalate exposure on fetal rat testis transcript and endocrine alterations with apical reproductive alterations in male rats.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 502: 117447, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532472",
      "keyword": [
        "phthalate",
        "Adverse Outcome Pathways (AOPs)",
        "in vivo",
        "chemical mixtures",
        "health effects"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0041008X25002236-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0041008X25002236-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0041008X25002236-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532472/1-s2.0-S0041008X25002236-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-22",
      "references": [
        "https://doi.org/10.1016/j.taap.2025.117447"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532472/documents/GrayEarl_D-80gs_Dataset_Dictionary_2025-8-22.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Conley 2025 Maternal and neonatal effects of PFHxS dataset",
      "description": "Dataset includes summary statistics (mean, standard error, sample size) for all endpoints measured and reported from the the experiments described in the published manuscript. \n\nThis dataset is associated with the following publication:\nConley, J., C. Lambright, N. Evans, J. Bangma, J. Ford, D. Jenkins-Hill, E. Medlock Kakaley, and L. Gray. Maternal, fetal, and neonatal toxicity and potency estimates of perfluorohexane sulfonate (PFHxS) from oral maternal exposure in the Sprague-Dawley rat.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 518: 154245, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532471",
      "keyword": [
        "Drinking water contaminants",
        "hazard identification",
        "human health",
        "PFAS",
        "Adverse Outcome Pathways (AOPs)",
        "children's health"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0300483X25002045-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0300483X25002045-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0300483X25002045-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532471/1-s2.0-S0300483X25002045-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-22",
      "references": [
        "https://doi.org/10.1016/j.tox.2025.154245"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532471/documents/ConleyJustin_D-1nsb_Dataset_Dictionary_2025-8-22.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "FTIR Datasets",
      "description": "FTIR Data. \n\nThis dataset is associated with the following publication:\nStavinskia, N., R. Sun, A.A. Dolatabad, M. Ateia, F. Xiao, and L. Velarde. Unraveling Hidden Infrared Spectral Signatures in PFAS Thermal Degradation with Two-Dimensional Correlation Spectroscopy.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 12(5): 668-676, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531787",
      "keyword": [
        "Thermal Degradation",
        "2D-COS",
        "FTIR",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "FTIR.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531787/FTIR.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-10-22",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c00192"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Influence of Volumetric Water Content Sensor Configuration in Evaluating Bioretention Planter Retention and Evaporation Dataset ",
      "description": "This dataset includes volumetric water content data from 8 or 14 sensors in two bioretention planters and the relevant previous storm size. \n\nThis dataset is associated with the following publication:\nNissen, K., M. Borst, and E. Fassman-Beck. Influence of Volumetric Water Content Sensor Configuration in Evaluating Bioretention Planter Retention and Evapotranspiration.   Journal of Hydrologic Engineering. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 30(5): 04025032, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1523148",
      "keyword": [
        "bioretention",
        "volumetric water content",
        "Water content reflectometer"
      ],
      "contactPoint": {
        "fn": "Kiera Nissen",
        "hasEmail": "mailto:nissen.kiera@epa.gov"
      },
      "distribution": [
        {
          "title": "SensorPaperdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1523148/SensorPaperdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-09-21",
      "references": [
        "https://doi.org/10.1061/jhyeff.heeng-6133"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2024 Grand Lake St. Marys qPCR data for microcystin producers",
      "description": "This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532477",
      "keyword": [
        "planktothrix",
        "microcystin",
        "qPCR",
        "HABs"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub qPCR Data GLSM 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532477/Sci%20Hub%20qPCR%20Data%20GLSM%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Per- and polyfluoroalkyl substances (PFAS) in surface water and sediment in Great Lakes tributaries",
      "description": "Per- and polyfluoroalkyl substances (PFAS) are chemicals of emerging concern that potentially pose risks to human and environmental health. In May–Oct 2018, sediment and passively collected surface water samples were collected from 62 tributary sites of the Laurentian Great Lakes with site catchments spanning gradients in land cover. Discrete samples of sediment and time-integrated surface water samples collected with polar organic chemical integrative samplers (POCIS) were analyzed for 23 and 34 PFAS, respectively. Concentrations of individual PFAS in sediment and surface water varied substantially among sites from below detection to 20,800 ng kg-1 and 247 ng L-1, respectively. Elevated PFAS concentrations occurred in urban watersheds and downstream of airports and wastewater treatment plants (WWTP). Of all target compounds, PFOS was the most frequently detected in sediment (56 of 62 sites) and had the highest median concentration (132 ng kg-1). PFOA, PFHxS, PFOS, PFHpA, and PFNA were detected in all 60 surface water sites, with median concentrations of 5.9, 5.2, 4.6, 3.7, and 1.3 ng L-1, respectively. Compounds with 8–14 fluorocarbons comprised a larger proportion of sediment PFAS than compounds with 4–7 fluorocarbons, whereas compounds with 4–7 fluorocarbons were dominant in surface waters. Watershed attributes, including urban land cover and WWTP flow fraction were positively related with PFAS sum concentrations in sediment and surface water. Collectively, these results highlight the relation PFAS occurrence has with human activities and documents widespread low-level PFAS contamination across the Great Lakes basin. This dataset is associated with the following publication: Loken LC, Corsi SR, Alvarez DA, Pronschinske MA, Lenaker PL, Nott M, Zhang C, Mani E, Ankley GT. Per- and polyfluoroalkyl substances (PFAS) in surface water and sediment in Great Lakes tributaries and relations with watershed attributes. In Review. This dataset is not publicly accessible because: It is inconsistent with established Federal practices for EPA to be the repository of data generated by the USGS. It can be accessed through the following means: All data will be completely accessible through the USGS and detailed instructions for its access will be described in the peer-reviewed journal article. Format: The data were generated by the US Geological Survey (USGS) who, like EPA, are required to make all their data publicly available through their open access website concurrent with publication of a paper. When this occurs, the data will be in a standard format, e.g., as spreadsheets with accompanying metadata. \n\nThis dataset is associated with the following publication:\nLoken, L., S. Corsi, D. Alvarez, M. Pronschinske, P. Lenaker, M. Nott, C. Zhang, E. Mani, and G. Ankley. Per- and polyfluoroalkyl substances in surface water and sediment in Great Lakes tributaries and relations with watershed attributes.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(6): 1503-1524, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530102",
      "keyword": [
        "Great Lakes",
        "PFAS",
        "monitoring",
        "ecological risk"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [],
      "modified": "2024-02-02",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf077"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Cross-species comparisons of plasma binding and considerations for data evaluation",
      "description": "Dataset for \"Cross-species comparisons of plasma binding and considerations for data evaluation.\". \n\nThis dataset is associated with the following publication:\nLynn, S., I. Schultz, S. Matten, P. Patel, S. Watson, Y. Lan Yueh, S. Black, and B. Wetmore. Cross-species comparisons of plasma binding and considerations for data evaluation.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 106: 106036, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532041",
      "keyword": [
        "cross-species",
        "plasma binding",
        "New Approach Methods",
        "data evaluation"
      ],
      "contactPoint": {
        "fn": "Barbara Wetmore",
        "hasEmail": "mailto:wetmore.barbara@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental Tables 2024-06-06-STICS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532041/Supplemental%20Tables%202024-06-06-STICS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-06-06",
      "references": [
        "https://doi.org/10.1016/j.tiv.2025.106036"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PurpleAir Sensors in Lumbee Tribe of North Carolina Community 2021-2024",
      "description": "This documentation describes the process used for aggregating and cleaning PurpleAir data from sensors placed around the Lumbee Tribe of North Carolina community from 2021-2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532480",
      "keyword": [
        "low cost sensors",
        "particulate matter (PM)",
        "Air monitoring",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Purple Air Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532480/Purple%20Air%20Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PCBs_BSAF_Data_1Feb2024",
      "description": "Fish biometric data and fish tissue data (total PCB concentration, lipid content, carbon and nitrogen stable isotope ratios) associated with the study \"Incorporating habitat use and life history to predict PCBs residues in fish\" by Hoffman et al.  Sediment data (total PCB concentration, carbon content) can be found in the NOAA DIVER data portal and the link is included. \n\nThis dataset is associated with the following publication:\nHoffman, J., T. Hollenhorst, G. Peterson, J. Launspach, E. Coffman, and L. Burkhard. Incorporating habitat use and life history to predict PCB residues in wild fish in an urban estuary.   MARINE POLLUTION BULLETIN. Elsevier Science Ltd, New York, NY, USA, 209: 117271, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530096",
      "keyword": [
        "Great Lakes",
        "sediment",
        "biomagnification",
        "Yellow Perch",
        "estuary",
        "bioaccumulation"
      ],
      "contactPoint": {
        "fn": "Joel Hoffman",
        "hasEmail": "mailto:hoffman.joel@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.diver.orr.noaa.gov/web/guest/diver-explorer?siteid=401&subtitle=St%20Louis%20River",
          "accessURL": "https://www.diver.orr.noaa.gov/web/guest/diver-explorer?siteid=401&subtitle=St%20Louis%20River",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PCBs_BSAF_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530096/PCBs_BSAF_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-01-10",
      "references": [
        "https://doi.org/10.1016/j.marpolbul.2024.117271"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Assessing the impact of in vitro xenobiotic metabolism on estrogenic chemical bioactivity in high-throughput profiling assays",
      "description": "Dataset for Jurgelewicz, A. et al, 'Assessing the impact of in vitro xenobiotic metabolism on estrogenic chemical bioactivity in high-throughput profiling assays' published in Toxicology, Vol 517, 154215, Nov 2025  DOI: 10.1016/j.tox.2025.154215. \n\nThis dataset is associated with the following publication:\nJurgelewicz, A., K. Breaux, C. Willis, F. Harris, G. Byrd, J. Witten, D. Haggard, C. Deisenroth, and J. Harrill. Assessing the impact of in vitro xenobiotic metabolism on estrogenic chemical bioactivity in high-throughput profiling assays.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 517: 154215, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532396",
      "keyword": [
        "cell painting",
        "computational toxicology",
        "In vitro metabolism",
        "New Approach Methods",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Joshua Harrill",
        "hasEmail": "mailto:harrill.joshua@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.28946147",
          "accessURL": "https://doi.org/10.23645/epacomptox.28946147",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296915",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296915",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": [
        "https://doi.org/10.1016/j.tox.2025.154215"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "water temperature in MRB",
      "description": "The datasets are the water temperature data for the MRB. Mainly for the main outlets for sub-basins. Include historical and future data. \n\nThis dataset is associated with the following publication:\nTang, C., and V. Garcia. Identifying stream temperature variation by coupling meteorological, hydrological, and water temperature models.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 59(4): 665-680, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519588",
      "keyword": [
        "water temperature",
        "stream temperature model"
      ],
      "contactPoint": {
        "fn": "Chunling Tang",
        "hasEmail": "mailto:tang.chunling@epa.gov"
      },
      "distribution": [
        {
          "title": "waterT.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519588/waterT.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-06-10",
      "references": [
        "https://doi.org/10.1111/1752-1688.13113",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181947"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1519588/documents/waterT.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Current emission vs. legacy organic pollutants: How the eco exposome of caged fish reflects external exposure  ",
      "description": "The exposome represents the totality of chemicals present in an organism’s tissues. To understand how external exposure, originating from the contamination of water and sediment, relates to the internal exposure of fathead minnow (Pimephales promelas, FHM), a model small fish species, we conducted a 21-d caging study at four field sites in the Great Lakes with different pollution loads and patterns. We determined the FHM’s body burden, total water concentrations and freely dissolved concentrations in sediment pore water of 456 organic micropollutants. Up to 123 micropollutants were detected in water, 165 in sediment and 153 in FHM. Chemical concentrations at the different study sites varied largely, with one site impacted by a municipal wastewater treatment plant having the highest overall concentrations, with a prevalence of personal care and household products, pharmaceuticals and pesticides. The other sites, associated with past industrial inputs, were characterized by elevated concentrations of legacy contaminants, including polycyclic aromatic hydrocarbons. We observed a moderate agreement of contamination patterns in fish compared to chemicals found in the sediment, while the water phase was dominated by more hydrophilic chemicals often not present in the fish. The study shows the degree of predictability of the exposome in fish that may be expected based on chemical concentrations in water and sediment based on equilibrium partitioning and provides evidence for the need of body burden analysis to comprehensively understand an organism’s exposure to environmental contaminants. This dataset is not publicly accessible because: The data is not EPA-generated. It can be accessed through the following means: Data will be made publicly available upon publication. Format: The data are in an Excel spreadsheet and included the following parameters: \r\nS1: Site description\r\nS2: Substances\r\nS2a: target substances and additional information\r\nS2b: list of used internal standards\r\nS2c: substances and additional information\r\nS3: Water data\r\nS3a: measured concentrations of the different time points and the site averages plus standard-deviations\r\nS3b: average plus standard-deviations of concentrations at the different time point\r\nS4:  Sediment data\r\nS4a: sediment wet weights\r\nS4b: sediment dry weights\r\nS4c: total organic carbon (TOC) of the sediment\r\nS4d: concentration in sediment from all sites; application of stability factor\r\nS4e: reduced dataset of the concentrations with average values and standard deviation\r\nS5: Fathead Minnow data\r\nS5a: wet weights\r\nS5b: wet weight normalized concentrations (ng/gww) for each clean-up method\r\nS5c: aggregated dataset using the concentrations of the method with better recovery\r\nS5d: MAX values of cFHM at each site\r\nS5d: lipid content of FHM samples\r\nS5e: FHM concentrations normalized to lipid content (see S5d); PSA and C18 combined depending on recoveries and MDLs\r\nS5f: MAX values of c_FHM (ww) at each site\r\nS6: Fish food data\r\nS6a: wet weight and lipid content of brine shrimp and trout chow\r\nS6b: wet weight-normalized concentrations\r\nS7: Literature data for KOC data from Niu et al. and EPISuite\r\nS8: Data used for venn diagram and violin plot\r\nS9: Data used for systematic comparison of occurrences in FHM, water, and sediment\r\nS9a: Number of pattern-detects (A, E); systematic comparison of the occurrence of target substances\r\nS9b: Detected compound classes\r\nS9c: Number of overlaps\r\nS9d: Agreement occurrence in FHM\r\nS9e: Number of pattern-detects\r\nS10: Calculated BCF and BSAF\r\nS11: Values of the predicted (expected) concentrations in FHM derived from the concentrations in water, sediment, and the predicted BCF and BSAF values. \n\nThis dataset is associated with the following publication:\nDann, J., G. Ankley, B. Blackwell, B. Escher, A. Jahnke, K. Jensen, C. Jenson, M. Krauss, S. Scholz, T. Wernicke, and W. Brack. Current emission vs. legacy organic pollutants: Assessing the extent to which the eco-exposome of caged fish reflects external exposure.   ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 383: 126808, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531747",
      "keyword": [
        "Eco-exposome",
        "target-screening",
        "micropollutants",
        "aquatic ecosystems",
        "fish",
        "contamination patterns"
      ],
      "contactPoint": {
        "fn": "Gerald Ankley",
        "hasEmail": "mailto:ankley.gerald@epa.gov"
      },
      "distribution": [],
      "modified": "2024-09-20",
      "references": [
        "https://doi.org/10.1016/j.envpol.2025.126808"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A high throughput screening assay for human Thyroperoxidase inhibitors",
      "description": "Dataset for 'A high throughput screening assay for human Thyroperoxidase inhibitors' by Hongyan Dong, et al., a collaboration work with primary authorship at Health Canada. Published in Toxicology in Vitro, Vol 101, 105946, Dec 2024; DOI https://doi.org/10.1016/j.tiv.2024.105946. Supplementary Data File 1: Examples of two solution plates and the resulting assay plate layouts for Single concentration phase. Supplementary Data File 2: The tcpl analyses of all multiple concentration phase data including plots of fitted models, estimates of log AC50 (ga), and hit call. Supplementary Data File 3: Supplementary Tables 1-5. For further data, please contact corresponding author Hongyan Dong at email Hongyan.Dong@hc-sc.gc.ca. \n\nThis dataset is associated with the following publication:\nDong, H., K. Friedman, A. Filiatreault, E. Thomson, and M. Wade. A high throughput screening assay for human Thyroperoxidase inhibitors.   TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 101: 105946, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532100",
      "keyword": [
        "Thyroid peroxidase",
        "endocrine disruption",
        "Screening assay",
        "thyroid hormone"
      ],
      "contactPoint": {
        "fn": "Katie Friedman",
        "hasEmail": "mailto:paul-friedman.katie@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0887233324001760-Supplement3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532100/1-s2.0-S0887233324001760-Supplement3.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0887233324001760-Supplement2.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532100/1-s2.0-S0887233324001760-Supplement2.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "1-s2.0-S0887233324001760-Supplement1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532100/1-s2.0-S0887233324001760-Supplement1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-16",
      "references": [
        "https://doi.org/10.1016/j.tiv.2024.105946"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NC_birth_outcomes_and_greenery_metrics",
      "description": "This data contains linked birth registry information with greenery metrics in North Carolina. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth records can be requested through the NC State Health Department. Greenery meterics can be downloaded through EPA's EnviroAtlas. Format: Datasets are in csvs, R and SAS formats. \n\nThis dataset is associated with the following publication:\nTsai, W., T. Luben, and K. Rappazzo. Associations between neighborhood greenery and birth outcomes in a North Carolina cohort.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK, 35(5): 821-830, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531667",
      "keyword": [
        "Children's Environmental Health",
        "Birth Weight",
        "Greenspace",
        "herbaceous cover",
        "preterm birth",
        "tree cover"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-17",
      "references": [
        "https://doi.org/10.1038/s41370-025-00780-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "2025 Grand Lake St. Marys qPCR data for microcystin producers",
      "description": "This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532478",
      "keyword": [
        "planktothrix",
        "microcystin",
        "qPCR",
        "HABs"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub qPCR Data GLSM 2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532478/Sci%20Hub%20qPCR%20Data%20GLSM%202025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for UVC-LED sterilization experiments",
      "description": "The data include a data dictionary (read first), a test log, a spreadsheet containing the UVC intensity measurements (along with temperature and relative humidity), and the microbiological data (the bacterial spore recovery) for each test. \n\nThis dataset is associated with the following publication:\nWood, J., M. Monge, E. Seto, K. Ratliff, B. Ford, D. Aslett, A. Abdel-Hady, and L. Mendez Sandoval. Sterilization of stainless-steel surfaces using ultraviolet radiation produced by light emitting diodes.   Astrobiology. Mary Ann Liebert, Inc., New Rochelle, NY, USA, 25(8): 550-562, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532170",
      "keyword": [
        "sterilization",
        "ultraviolet light",
        "bacterial spores",
        "light emitting diode",
        "homeland security"
      ],
      "contactPoint": {
        "fn": "Joseph Wood",
        "hasEmail": "mailto:wood.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "UVC T and RH measurements 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/UVC%20T%20and%20RH%20measurements%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "test log.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/test%20log.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 3 2023-05-31_E6 Bg 2- and 4-hour UV-C Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/Test%203%202023-05-31_E6%20Bg%202-%20and%204-hour%20UV-C%20Exposure_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 2 2023-05-17_Bg 2- and 4-hour UV-C Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/Test%202%202023-05-17_Bg%202-%20and%204-hour%20UV-C%20Exposure_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Test 1 2023-05-02_Bg 2- and 4-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/Test%201%202023-05-02_Bg%202-%20and%204-hour%20UV-C%20Exposure_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data dictionary Read first.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/Data%20dictionary%20Read%20first.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-08-14_E6 SAFR32 and Bg ILT 3-hrs Comparison_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-08-14_E6%20SAFR32%20and%20Bg%20ILT%203-hrs%20Comparison_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-08-12_Inocululm Titer Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-08-12_Inocululm%20Titer%20Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-08-07_E6 SAFR32 and Bg ILT 0.25- and 0.5-hr Comparison_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-08-07_E6%20SAFR32%20and%20Bg%20ILT%200.25-%20and%200.5-hr%20Comparison_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-07-31_E6 SAFR32 and Bg ILT 1- and 2-hr Comparison_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-07-31_E6%20SAFR32%20and%20Bg%20ILT%201-%20and%202-hr%20Comparison_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-05-01_E6 Bg 1.58- and 3.16-hours AquiSense_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-05-01_E6%20Bg%201.58-%20and%203.16-hours%20AquiSense_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-04-11_E7 Bg 1.58- and 3.16-hours AquiSense_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-04-11_E7%20Bg%201.58-%20and%203.16-hours%20AquiSense_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-04-03_E8 Bg 1.58- and 3.16-hours AquiSense Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-04-03_E8%20Bg%201.58-%20and%203.16-hours%20AquiSense%20Exposure_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-03-27_E6 Bg 2- and 4-hours AquiSense Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-03-27_E6%20Bg%202-%20and%204-hours%20AquiSense%20Exposure_Summary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-03-21_E7 Bg 2- and 4-hours AquiSense Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-03-21_E7%20Bg%202-%20and%204-hours%20AquiSense%20Exposure_Summary%20JPW.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2024-02-07_E7 Bp 1- and 2-hours UV-C Exposure_Summary.xlsx",
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          "title": "2024-01-31_E4 Bg 1- and 2-hours UV-C Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2024-01-31_E4%20Bg%201-%20and%202-hours%20UV-C%20Exposure_Summary%20JPW.xlsx",
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          "title": "2023-12-18_E6 Bg MDI 2- and 4-hour UV-C Exposure  JPW CFU per cm2.xlsx",
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        {
          "title": "2023-11-29_E7 Bg MDI 2&4-hour UV-C Exposure Summary JPW CFU per cm2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-11-29_E7%20Bg%20MDI%202%264-hour%20UV-C%20Exposure%20Summary%20JPW%20CFU%20per%20cm2.xlsx",
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        {
          "title": "2023-11-15_E5 SAFR-032 1- and 2-hour UV-C Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-11-15_E5%20SAFR-032%201-%20and%202-hour%20UV-C%20Exposure_Summary%20JPW.xlsx",
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        {
          "title": "2023-11-08_E6 SAFR-032 2- and 4-hour UV-C Exposure_Summary JPW.xlsx",
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        {
          "title": "2023-10-25_E7 SAFR-032 2- and 4-hour UV-C Exposure_Summary JPW.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-10-25_E7%20SAFR-032%202-%20and%204-hour%20UV-C%20Exposure_Summary%20JPW.xlsx",
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        {
          "title": "2023-08-16_E8 Bg 8-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-08-16_E8%20Bg%208-hour%20UV-C%20Exposure_Summary.xlsx",
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        },
        {
          "title": "2023-08-09_E6 Bg 8-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-08-09_E6%20Bg%208-hour%20UV-C%20Exposure_Summary.xlsx",
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        },
        {
          "title": "2023-08-02_E7 Bg 6-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-08-02_E7%20Bg%206-hour%20UV-C%20Exposure_Summary.xlsx",
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        },
        {
          "title": "2023-07-26_E7 Bg 8-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-07-26_E7%20Bg%208-hour%20UV-C%20Exposure_Summary.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-07-12_E5 Bg 2- and 4-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-07-12_E5%20Bg%202-%20and%204-hour%20UV-C%20Exposure_Summary.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-28_E7 Bp 2- and 4-hour UV-C Exposure_Summary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532170/2023-06-28_E7%20Bp%202-%20and%204-hour%20UV-C%20Exposure_Summary.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://www.liebertpub.com/doi/10.1177/15311074251365196"
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      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
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        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2011 National Wetland Condition Assessment Diatom Dataset",
      "description": "2011 National Wetland Condition Assessment diatom species data and corresponding site information.",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532498",
      "keyword": [
        "Cost-Effectiveness",
        "Taxonomic resolution",
        "National Wetland Condition Assessment (NWCA)",
        "Ecological assessment",
        "Taxonomic inconsistency",
        "multimetric index (MMI)"
      ],
      "contactPoint": {
        "fn": "Luisa Riato",
        "hasEmail": "mailto:riato.luisa@epa.gov"
      },
      "distribution": [
        {
          "title": "NWCA2011_estuarine_diatoms_longformat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532498/NWCA2011_estuarine_diatoms_longformat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NWCA2011_inland_diatoms_longformat.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532498/NWCA2011_inland_diatoms_longformat.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Collocated PurpleAir Sensors and T640 Reference Data located at Durango Complex in Phoenix, AZ May 2019: Case Study Demonstrating EPA's Performance Targets and sensorstoolkit Python Code Library",
      "description": "Three PurpleAir sensors were collocated with a T640x reference monitor at the Durango Complex Air Quality Monitoring Station in Phoenix, Arizona in May 2019.  Both instruments measured PM2.5 and PM10 and this collocation exercise was done to better understand how the sensor data compared to the reference data and what data cleaning and correcting would need to be applied to the sensor data to make these two dataset more comparable.  These data files contain the raw data from this experiment at 1 minute and 20 second time resolution for the sensor data and 1 hour time resolution for the reference monitor data.  Data provided courtesy of USEPA and our project partners Maricopa County Air Quality Department. \n\nThis dataset is associated with the following publication:\nKumar, M., S. Frederick, K. Barkjohn, and A. Clements. Sensortoolkit—A Python Library for Standardizing the Ingestion, Analysis, and Reporting of Air Sensor Data for Performance Evaluation.   Sensors. MDPI, Basel,  SWITZERLAND, 25(18): 5645, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531904",
      "keyword": [
        "air sensor",
        "sensor performance",
        "sensor collocation",
        "particulate matter",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Andrea Clements",
        "hasEmail": "mailto:clements.andrea@epa.gov"
      },
      "distribution": [
        {
          "title": "PA0num_durango_pm25pm10_data-dict.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/PA0num_durango_pm25pm10_data-dict.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ref-met_durango_may_data-dict.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/ref-met_durango_may_data-dict.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ref-met_durango_may.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/ref-met_durango_may.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ratio_durango_data-dict.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/ratio_durango_data-dict.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ratio_durango.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/ratio_durango.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PA05_durango_pm25pm10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/PA05_durango_pm25pm10.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PA03_durango_pm25pm10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/PA03_durango_pm25pm10.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "PA01_durango_pm25pm10.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/PA01_durango_pm25pm10.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-12",
      "references": [
        "https://doi.org/10.3390/s25185645"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
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        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531904/documents/CombinedDataDictonary.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Evaluation of Hepatic and Renal Effects of Acute and Subacute Oral Exposure to Bromochloromethane",
      "description": "The toxicity of liver and kidney upon acute and subacute exposure to bromochloromethane in both male and female rats. \n\nThis dataset is associated with the following publication:\nSimmons, J., T. Willoughby, M. Armstrong, M. Donohue, A. McDonald, and Y. Sey. EVALUATION OF HEPATIC AND RENAL EFFECTS OF ACUTE AND SUBACUTE ORAL EXPOSURE TO BROMOCHLOROMETHANE IN RATS.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 504: 117509, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528742",
      "keyword": [
        "Bromochloromethane",
        "Rat",
        "Acute exposure",
        "Subacute exposure",
        "liver",
        "Kidney"
      ],
      "contactPoint": {
        "fn": "Yusupha Sey",
        "hasEmail": "mailto:sey.yusupha@epa.gov"
      },
      "distribution": [
        {
          "title": "BCM Acute Subacute Studies.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528742/BCM%20Acute%20Subacute%20Studies.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2013-02-01",
      "references": [
        "https://doi.org/10.1016/j.taap.2025.117509"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1528742/documents/BCM%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Identification of Anatoxin‑a and Related Metabolites in Exposed Mice Samples with a High-Resolution Mass Spectrometry Discovery Workflow",
      "description": "This is the data presented in https://pubs.acs.org/doi/10.1021/acs.chemrestox.5c00236, Identification of Anatoxin-a and Related Metabolites in Exposed Mice Samples with a High-Resolution Mass Spectrometry Discovery Workflow",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532489",
      "keyword": [
        "anatoxin",
        "harmful cyanobacterial blooms",
        "exposure",
        "urine"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://pubs.acs.org/doi/10.1021/acs.chemrestox.5c00236",
          "accessURL": "https://pubs.acs.org/doi/10.1021/acs.chemrestox.5c00236",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-08-20",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Gupta 2025 Dipentyl phthalate testis dose response dataset",
      "description": "Dataset includes summary data for all endpoints measured in the experiments reported in the manuscript. \n\nThis dataset is associated with the following publication:\nGUPTA, M., J. Conley, C. Lambright, L. Chin, S. HILL, L. Gray, and D. SPADE. Dose-response assessment of dipentyl phthalate effects on testosterone production and morphogenesis of late-gestation fetal rat testis.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 200: 109551, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532473",
      "keyword": [
        "in vivo",
        "New Approach Methods (Alternatives to Animal Testing)",
        "Phthalates",
        "Children's Environmental Health",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S0160412025003022-mmc2.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S0160412025003022-mmc2.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0160412025003022-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532473/1-s2.0-S0160412025003022-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-22",
      "references": [
        "https://doi.org/10.1016/j.envint.2025.109551",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12163936"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532473/documents/GrayEarl_D-fbgs_Dataset_Dictionary_2025-8-22.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
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    },
    {
      "title": "Asthmatic airways are more sensitive to burn pit smoke particles",
      "description": "This study sought to examine whether mild preexisting allergic airways disease enhances the response of the lungs to burn pit smoke emissions. The findings indicate that exposure to house dust mite (HDM) antigen sensitizes the mouse lungs to make them more susceptible to burn pit smoke-induced dysfunction, in both the inflammatory response to burn pit smoke and in the accumulation of airway mucus. This suggests that changes in cilia and mucociliary clearance (MCC) induced by asthma that are amplified by inhalation of burn pit smoke, followed by a feedback loop of enhanced inflammation induced by the accumulating mucus, appears a likely mechanism. \n\nThis dataset is associated with the following publication:\nBelfield-Simpson, L., J. Martin, M.K. McPeek, A. Livraghi-Butrico, H. Dang, Y.H. Kim, I. Gilmour, and C. Doerschuk. Combustion products of burn pit constituents induce more changes in asthmatic than non-asthmatic murine lungs.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 22: 21, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532503",
      "keyword": [
        "burn pit smoke",
        "RNA sequencing",
        "Mucociliary Clearance",
        "asthmatic lung"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE281365",
          "accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE281365",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-07-29",
      "references": [
        "https://doi.org/10.1186/s12989-025-00625-w",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305933"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Toxicity of fresh and aged anthropogenic smoke particles emitted from different burning conditions",
      "description": "This dataset provides information on how photochemical aging alters the chemical compositions of the smoke depending on burning conditions and increases oxygenated VOC emissions but degrades particle-bound PAHs. Also the findings indicate that PAH degradation is more pronounced in flaming than smoldering smoke particles, suggesting that PAH-induced toxicity of the smoke particles varies depending on photochemical aging and burning conditions. \n\nThis dataset is associated with the following publication:\nKim, Y.H., A. Sinha, I. George, D. DeMarini, A. Grieshop, and M. Gilmour. Toxicity of fresh and aged anthropogenic smoke particles emitted from different burning conditions.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 892: 164778, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532373",
      "keyword": [
        "toxicity equivalent",
        "Oxidation Flow Reactor",
        "Mutagenicity",
        "wildfire",
        "photochemical reaction"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/science/article/pii/S0048969723034010?via%3Dihub",
          "accessURL": "https://www.sciencedirect.com/science/article/pii/S0048969723034010?via%3Dihub",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-03-23",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2023.164778",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131020"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Speciation of aqueous iron and arsenic for assessing mechanisms of arsenic attenuation in groundwater",
      "description": "The dataset include the report of the groundwater analysis in Shepley's Hill Landfill, and a report of clustering of the groundwater samples based on their chemical composition. \n\nThis dataset is associated with the following publication:\nLi, T. Speciation of Aqueous Iron and Arsenic for Assessing Mechanisms of Arsenic Attenuation in Groundwater.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 5(9): 5523-5530, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531966",
      "keyword": [
        "climate change",
        "arsenic",
        "attenuation",
        "groundwater",
        "Sample",
        "iron"
      ],
      "contactPoint": {
        "fn": "Tao Li",
        "hasEmail": "mailto:li.tao@epa.gov"
      },
      "distribution": [
        {
          "title": "https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=352598&Lab=CESER",
          "accessURL": "https://cfpub.epa.gov/si/si_public_record_Report.cfm?dirEntryId=352598&Lab=CESER",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2023-06-13 Fort Devens Water clustering.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531966/2023-06-13%20Fort%20Devens%20Water%20clustering.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-29",
      "references": [
        "https://doi.org/10.1021/acsestwater.5c00566"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Scripts and output for evaluating U.S. domestic migration models and data sources.",
      "description": "The zip files contain Python scripts and SQLite databases needed to replicate the modeling, analysis, and accuracy assessment discussed in the manuscript. R scripts are also included, which can be used to replicate the spatial interaction model (i.e., zero-inflated regression). \n\nThis dataset is associated with the following publication:\nMorefield, P.E., and T.F. Leslie. County-to-county migration modeling in the United States: the effects of data source and model selection.   Journal of Geographical Systems. Springer, Heidelberg,  GERMANY, 27(3): 455-472, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532269",
      "keyword": [
        "Spatial Interaction Modeling",
        "Zero-inflated Regression",
        "migration"
      ],
      "contactPoint": {
        "fn": "Philip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "distribution": [
        {
          "title": "OneDrive_6_5-12-2025_processing_scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532269/OneDrive_6_5-12-2025_processing_scripts.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OneDrive_4_5-12-2025_scripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532269/OneDrive_4_5-12-2025_scripts.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OneDrive_2_5-12-2025_models.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532269/OneDrive_2_5-12-2025_models.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OneDrive_2_5-12-2025_accuracy.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532269/OneDrive_2_5-12-2025_accuracy.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": [
        "https://doi.org/10.1007/s10109-025-00470-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water Quality in Separate and Combined Sewer Systems",
      "description": "Water Quality Data for Separate and Combined Sewer Systems, including:\n\nBiochemical Oxygen Demand (mg/L)\nTot. Suspended Solids (mg/L)\nCyanide (mg/L)\nCyanide Free (Low Level) (ug/L)\nCyanide Amenable (mg/L)\nAntimony (mg/L)\nArsenic (mg/L)\nBeryllium (mg/L)\nCadmium (mg/L)\nCalcium (mg/L)\nChromium (mg/L)\nCobalt (mg/L)\nCopper (mg/L)\nIron (mg/L)\nLead (mg/L)\nMagnesium (mg/L)\nMolybdenum (mg/L)\nNickel (mg/L)\nSelenium (mg/L)\nSilver (mg/L)\nStrontium (mg/L)\nThallium (mg/L)\nTin (mg/L)\nTitanium (mg/L)\nVanadium (mg/L)\nZinc (mg/L)\nNitrite as N (mg/L)\nAmmonia as N (mg/L)\nNitrate + Nitrite (mg/L)\nTotal Kjeldahl Nitrogen (mg/L)\nTotal Phosphorus (mg/L)\nCOD (mg/L)\nNitrate as N Calc (mg/L). \n\nThis dataset is associated with the following publication:\nButzlaff, A.H., J. Deighton, T. Le, A. Brougham, S.M. Bessler, T. McKnight, and M. Ateia. PFAS, 6-PPD-Q, and microplastics in urban sewer overflows: co-occurrence and high-rate treatment assessment\n..   NATURE. Nature Portfolio, Berlin,  GERMANY, 1: 5, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532121",
      "keyword": [
        "PFAS",
        "SSO",
        "CSO",
        "microplastics"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "Water Quality Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532121/Water%20Quality%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-03-28",
      "references": [
        "https://doi.org/10.1038/s44454-025-00010-4"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Appendices for PFAS Destruction by a Hazardous Waste Incinerator: Testing Results ",
      "description": "This dataset contains the Appendices to EPA report EPA/600/R-25/172, \"PFAS Destruction by a Hazardous Waste Incinerator: Testing Results.\" The report summarizes the results from testing for per- and polyfluoroalkyl substances (PFAS) in the emissions from a hazardous waste incinerator. The appendices include data tables and analytical laboratory reports from the methods employed during the test, Other Test Method (OTM) - 45, OTM-50, Method 0010/3542/8270, Method 1633, and ASTM method D6348. Also included are the reports from the stack testers, data validator, spiking crews, and other information to support the report. \n\nThis dataset is associated with the following publication:\nTroxler, W., W. Anderson, C. McBride, J. Whitehead, M. Klingerman, J. Kumm, P. Challa Sasi, S. Yankay, M. Modiri, S. Corum, C. Adkins, E. Redman, C. Laush, S. Hall, A. Jensen, S. Waters, D. Spangler, S. Neal, T. Bales, M. Mills, P. Potter, E. Shields, W. Roberson, and S. Jackson. PFAS Destruction by a Hazardous Waste Incinerator: Testing Results. U.S. EPA Office of Research and Development, Washington, DC, USA, 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532481",
      "keyword": [
        "PFAS",
        "Hazardous Waste",
        "AFFF",
        "incineration"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix N Deviations from the Work Plan.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20N%20Deviations%20from%20the%20Work%20Plan.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix M Dispersion Modeling Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20M%20Dispersion%20Modeling%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix L Data Validation Reports.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20L%20Data%20Validation%20Reports.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix K HFPO-DA Data Evaluation.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20K%20HFPO-DA%20Data%20Evaluation.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix J Eurofins Analytical Data Reports.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20J%20Eurofins%20Analytical%20Data%20Reports.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix I Clean Harbors Analytical Data Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20I%20Clean%20Harbors%20Analytical%20Data%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix H Source Testing Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20H%20Source%20Testing%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix G FTIR Monitoring Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20G%20FTIR%20Monitoring%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix F C2F6 Spiking Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20F%20C2F6%20Spiking%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix E PFAS Spiking Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20E%20PFAS%20Spiking%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix D Process Sampling Logs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20D%20Process%20Sampling%20Logs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix C  Residual Streams Mass Flow Rate Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20C%20%20Residual%20Streams%20Mass%20Flow%20Rate%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix B Process Monitoring Data Compiled.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20B%20Process%20Monitoring%20Data%20Compiled.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix A Mass Balance DRE Emissions Calcs.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532481/Appendix%20A%20Mass%20Balance%20DRE%20Emissions%20Calcs.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-11",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ANA2: Auditory Evoked Responses after 5 Day Exposure to Anatoxin",
      "description": "Analog/Digital points for individual animal's average brainstem auditory evoked responses (BAERs) and a second file with the scored peak latencies and amplitudes from the BAERs.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532514",
      "keyword": [
        "anatoxin",
        "neurotoxicity",
        "Hearing",
        "brainstem auditory evoked potentials"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "ANA2_BAER_Data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532514/ANA2_BAER_Data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-17",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lane_etal_WhatRemains",
      "description": "Clean Water Act (CWA) coverage extends to certain wetlands, including those with a continuous surface connection to relatively permanent tributaries. However, limited information is available to estimate the national extent of wetlands potentially afforded CWA coverage. To address this data gap, we identified conterminous US (CONUS) palustrine wetlands connected by an exploratory 150-m buffer to a high-resolution CONUS-wide stream network hydrography dataset, a reasonable and defensible proxy for a continuous surface connection between wetlands and relatively permanent waters. Nationally, 79% (23.1 Mha) or 66% (19.3 Mha) of the nation's CONUS freshwater palustrine wetlands are potentially connected to the stream network, depending on whether a more inclusive or exclusive flow permanence network is analyzed. Conversely, 21% (6.1 Mha, roughly the area of West Virginia) or 34% (9.9 Mha, greater area than Indiana) of CONUS wetlands may be outside this buffer. Results for individual states varied widely based on stream and wetland density. States with a low relatively permanent stream density had fewer buffer-connected wetland resources (e.g., 21% in North Dakota). Similarly, wetlands in southwestern states and other states with abundant ephemerally flowing streams were also not connected via the applied buffer. Geospatial data limitations and assumptions (e.g., omission errors, presumed presence of a surface connection) suggest the estimated extent of wetlands with potential continuous surface connections to federally covered waters are likely to be substantially smaller than reported here. Nonetheless, the analyses herein provide insights for local, state, and tribal stakeholders to consider in managing their wetland resources. \n\nThis dataset is associated with the following publication:\nLane, C., E. D'Amico, J. Christensen, K. Fritz, and H. Golden. Linking wetlands to relatively permanent flowing waters: a conterminous United States geospatial analysis.   Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V.,   GERMANY, 33: 30, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531927",
      "keyword": [
        "National Wetlands Inventory",
        "geographically isolated wetlands",
        "state wetland protections",
        "National Hydrography Dataset",
        "Non-floodplain wetlands"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Lane_etal_WhatRemains_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531927/Lane_etal_WhatRemains_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-10",
      "references": [
        "https://doi.org/10.1007/s11273-025-10046-3"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WF Sperm Data",
      "description": "Data from manuscript Episodic Exposure to Eucalyptus Smoke during Sperm Maturation Impairs Sperm Motility in Long Evans Rats. \n\nThis dataset is associated with the following publication:\nKlinefelter, G., J. Dye, L. Strader, H. Nguyen, M. Schladweiler, G. Palmer, M. Moore, P. Evansky, M. Higuchi, M. Monsees, I. George, M. Hays, J. Martin, N. Warren, W. Williams, B. Yoo, R. Grindstaff, W. Padgett, I. Gilmour, and C. Miller. Episodic exposure to eucalyptus smoke during sperm maturation impairs sperm motility in Long Evans rats..   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 59(28): 14314–14323, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532513",
      "keyword": [
        "Reproductive Toxicity",
        "air pollution",
        "Sperm Motility",
        "Wildland Fire"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "WF Sperm ScienceHub Entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532513/WF%20Sperm%20ScienceHub%20Entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-17",
      "references": [
        "https://doi.org/10.1021/acs.est.5c03985"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical ionization mass spectrometry data from thermal treatment of PFOA",
      "description": "Chemical ionization mass spectrometry data from thermal treatment of PFOA in EPA's pilot scale Rainbow furnace. Definitions of variables included in dataset. \n\nThis dataset is associated with the following publication:\nRocchio, C., J. Mattila, S. Sharma, J. Krug, G. Kogekar, W. Roberson, J. Offenberg, K. Pennell, W. Linak, and C.F. Goldsmith. Incineration of Perfluorooctanoic Acid Leads to Regeneration of Smaller Perfluorocarboxylic Acids.   JOURNAL OF PHYSICAL CHEMISTRY A. American Chemical Society, Washington, DC, USA, 129(35): 8160–8169, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529987",
      "keyword": [
        "fluorine",
        "PFOA",
        "PFAS",
        "incineration",
        "detailed kinetics"
      ],
      "contactPoint": {
        "fn": "William Linak",
        "hasEmail": "mailto:linak.bill@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure4_NeatPFOA_PFCAs_ppbv.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529987/Figure4_NeatPFOA_PFCAs_ppbv.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-11",
      "references": [
        "https://doi.org/10.1021/acs.jpca.5c02985"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: The impact of legacy nutrient loading from lake sediments on cyanobacteria bloom severity",
      "description": "The GitHub site contains the code and data to run two methods as shown in the manuscript. The first quantifies external load, internal load, and source attributed impact on cyanoHAB severity. This method was written using R language (version 4.2.2). The second method maps potential legacy P stores in upstream watersheds of Lake Mendota, WI (USA) and estimates the total P load per contributing area across watersheds. This method was written using Python language (version 3.8.5) & GeoPandas (version 0.8.2).\n1. Impact_model_method\nThe impact model method is a series of sequential programs that take original source data, performs quality control checks and re-formats the data as new data files for input into the impact model. The Impact_model_method folder has all programs used in this method. All code is written in R Markdown format (.Rmd). Here's the order to run the R programs and achieve the same results as shown in the manuscript:\ncyanoHAB_severity.Rmd - calculates cyanoHAB severity (as Chl-a and cyanobacteria density)\nTotalP_external_atmdep.Rmd - calculates external total P loads from atmospheric deposition\nTotalP_external_inflows.Rmd - calculates external total P loads from inflows (streams)\nTotalP_external_all.Rmd - calculates the sum of external total P loads (streams + atmospheric deposition)\nEpiVolume.Rmd - calculates the change in volume of the epilimnion using temperature profiles\nTotalP_water.Rmd - calculates the total P concentration in the epilimnion, total P concentration in the hypolimnion, and ratio of total P in hypolimnion to epilimnion (as alternative indicator of internal P load)\nTotalP_internal.Rmd - calculates internal total P loads (or alternatively the ratio of totalP_hypo:totalP_epi)\nModel_inputs.Rmd - prepares the data as input for impact modeling (defines predictor and response variables)\nImpact_model.Rmd - performs the statistical modeling for impact analysis on cyanoHAB severity by source (external vs internal) and outputs the partitioned sum of squares for each predictor term\n2. Spatial_model_method\nThe spatial model method takes original source data, performs quality control checks and re-formats the data as new data files for input into the spatial model. The model maps potential legacy P stores in upstream sub-watersheds, and quantify total P load per contributing area across sub-watersheds. All programs used in this method are provided in the Spatial_model_method folder. All code is written in Python language (.py or .ipynb). The specific order in which programs should be run to achieve the same results as shown in the manuscript is as follows:\nHydroGraph_functios.py - performs the network mapping of sub-watersheds upstream of the inflows to the lake\nwatershed_analysis.ipynb - calculates the P export per contributing area for each of the upstream sub-watersheds\nOHSA.py - performs the optimized hot spot analysis for determining statistically clustered stream monitoring sites with consistently high P concentrations. \n\nThis dataset is associated with the following publication:\nKnose, L.A., D.L. Cole, E. Martin-Hernandez, V.M. Zavala, M.A. Gonzalez, C. Vaneeckhaute, and G.J. Ruiz-Mercado. The Impact of Legacy Nutrient Loading from Lake Sediments on Cyanobacteria Bloom Severity.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 5(9): 4997-5010, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530095",
      "keyword": [
        "Phosphorus and Nitrogen",
        "legacy nutrients",
        "data science",
        "Cyanobacteria Blooms"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/LAK-lady/LakeLegacyNP",
          "accessURL": "https://github.com/LAK-lady/LakeLegacyNP",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-01-25",
      "references": [
        "https://doi.org/10.1021/acsestwater.4c00592",
        "https://pasteur.epa.gov/uploads/10.23719/1530095/documents/Supplemental_information%2001-25-24.pdf"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Whale Baleen to Monitor PFAS in Marine Environments",
      "description": "Concentration data describing PFAS in whale baleen samples. This dataset is not publicly accessible because: Not EPA data, data is owned by Stanford University. It can be accessed through the following means: Contact external author Matthew Savoca at msavoca13@gmail.com. Format: Final data is in Excel format. \n\nThis dataset is associated with the following publication:\nSavoca, M.S., A.R. Robuck, M.A. Cashman, M.G. Cantwell, L.C. Agvent, D.N. Wiley, R. Rice, S. Todd, N.E. Hunter, J. Robbins, J.A. Goldbogen, and R. Lohmann. Whale Baleen To Monitor Per- and Polyfluoroalkyl Substances (PFAS) in Marine Environments.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 11(8): 862-870, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532457",
      "keyword": [
        "Marine pollution",
        "Whales",
        "bioaccumulation",
        "Baleen",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Anna Robuck",
        "hasEmail": "mailto:robuck.anna@epa.gov"
      },
      "distribution": [],
      "modified": "2024-03-25",
      "references": [
        "https://doi.org/10.1021/acs.estlett.4c00409",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11824945"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Global importance of nitrogen fixation across inland and coastal waters",
      "description": "A description of the dataset can be found at: https://aslopubs.onlinelibrary.wiley.com/doi/10.1002/lol2.10459. \n\nThis dataset is associated with the following publication:\nFulweiler, R.W., S. Rinehart, J. Taylor, M. Kelly, M. Berberich, N. Ray, A. Oczkowski, S. Balint, M. Benavides, M. Church, B. Loeks, S. Newell, M. Olofsson, J. Oppong, S. Roley, C. Vizza, S. Wilson, S. Chowdhury, P. Groffman, T. Scott, and A. Marcarelli. Global importance of nitrogen fixation across inland and coastal waters.   SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 388(6752): 1205-1209, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532468",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "aquatic",
        "fixation",
        "estuarine",
        "global"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://portal.edirepository.org/nis/mapbrowse?packageid=edi.1759.2",
          "accessURL": "https://portal.edirepository.org/nis/mapbrowse?packageid=edi.1759.2",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-01",
      "references": [
        "https://doi.org/10.1126/science.adt1511",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12369884"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data from: How Hurricanes Irma and Maria affected population dynamics and nutrient content of Aedes aegypti in San Juan, PR, USA: socioeconomic and temporal factors",
      "description": "Urban environments often contain mosquito species that are responsible for transmitting medically important pathogens to humans. Large disturbance events, like hurricanes, can devastate large urban areas, especially in the tropics; however, little data exist for how these storms affect vector populations. During September 2017, Hurricanes Irma (category 5) and Maria (category 4) passed in proximity to the island of Puerto Rico, USA, causing significant damage to the built environment and significantly altering the abiotic environmen,t including the removal of the plant canopy. We measured adult Aedes aegypti populations, the main vector of several pathogens, and larval containers across eight neighborhoods in San Juan, the capitol, that varied in socioeconomic status (SES) across eight sampling periods over 17 months following the storms. We also analyzed the nutrient content (%N, %C, C:N) and stable isotopes (δ15N, δ13C) from adults and isotopes from containers to assess how the nutrient environments changed post hurricanes. Mosquito population sizes were invariant throughout sampling, although more females were collected in lower SES neighborhoods that were more enriched in δ15N compared to higher SES locations. We did find that the storms altered the stoichiometric content of adults, with lower C:N values right after compared to a year later; larval containers showed an increase in δ15N through time. The lack of any interactive effects of the storms on specific neighborhoods suggests that Irma and Maria affected all locations equally, however, the storms altered the nutrient content of both adults and larval containers, a result with implications for pathogen transmission. \n\nThis dataset is associated with the following publication:\nYee, D.A., N.A. Scavo, L.J. Reyes-Torres, and A. Oczkowski. How Hurricanes Irma and Maria affected population dynamics and nutrient content of Aedes aegypti in San Juan, PR, USA: socioeconomic and temporal factors.   Journal of Urban Ecology. Oxford University Press, OXFORD,  UK, 10(1): juae019, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532492",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "mosquito",
        "hurricane",
        "San Juan"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://datadryad.org/dataset/doi:10.5061/dryad.2bvq83c28",
          "accessURL": "https://datadryad.org/dataset/doi:10.5061/dryad.2bvq83c28",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-05",
      "references": [
        "https://doi.org/10.1093/jue/juae019",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12292484"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Census Tract EQI",
      "description": "The Environmental Quality Index (EQI) accounts for the multiple domains of the environment with which humans interact. These domains include chemical, natural, built, and sociodemographic environments that have both positive and negative influences on health. An overall EQI was created for census tracts within the contiguous United States for 2006-2010 and 2011-2015. Provided data sets include full EQI for 2006-2010 and 20011-2015, variables used to create the census tract EQI, as well as links to maps of the data.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532522",
      "keyword": [
        "air quality",
        "water quality",
        "built environment",
        "human health",
        "environmental quality"
      ],
      "contactPoint": {
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "distribution": [
        {
          "title": "Tract EQI.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532522/Tract%20EQI.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-01",
      "references": [
        "https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fepa.maps.arcgis.com%2Fapps%2Finstant%2Fsidebar%2Findex.html%3Fappid%3D0b108647e91c4260990123b5bf778ba3&data=05%7C02%7CLobdell.Danelle%40epa.gov%7Cfd6bdb22eb8749164df508ddf07cded8%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C638931141283334501%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=GA0xrTag%2FgFkobB2wXTVMowQJr2j9KRZWMB%2BUb44XY0%3D&reserved=0",
        "https://gcc02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fepa.maps.arcgis.com%2Fapps%2Finstant%2Fsidebar%2Findex.html%3Fappid%3Dbda2e49d60af42daaf32bbd50288684f&data=05%7C02%7CLobdell.Danelle%40epa.gov%7Cfd6bdb22eb8749164df508ddf07cded8%7C88b378b367484867acf976aacbeca6a7%7C0%7C0%7C638931141283360447%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=lW%2FxUfD8fYzxU8cgyGuYSBMmsMKuHHlT%2FcB%2BXpU9oWM%3D&reserved=0"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "A Review of the Potential Endocrine Bioactivity of 2-Ethylhexyl 4-Hydroxybenzoate (2-EHHB) - Supplementary Files",
      "description": "This includes various EPA contract lab conducted studies using 2EHHB and referenced in a 2EHHB Review manuscript. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529847",
      "keyword": [
        "2-EHHB",
        "2-Ethylhexyl 4-Hydroxybenzoate",
        "MEOGRT",
        "LAGDA",
        "FSTRA"
      ],
      "contactPoint": {
        "fn": "Ronnie Bever",
        "hasEmail": "mailto:bever.ronnie@epa.gov"
      },
      "distribution": [
        {
          "title": "Male Pubertal.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Male%20Pubertal.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LAGDA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/LAGDA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hershberger.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Hershberger.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fathead FSTRA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Fathead%20FSTRA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MEOGRT.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/MEOGRT.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AMA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/AMA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Zebrafish FSTRA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Zebrafish%20FSTRA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Medaka FSTRA.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Medaka%20FSTRA.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Additional Statistical Analysis Report for AMA and FSTRA Assays.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529847/Additional%20Statistical%20Analysis%20Report%20for%20AMA%20and%20FSTRA%20Assays.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-11-20",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Control Performance Of Amphibian Metamorphosis Assays With Xenopus Laevis ",
      "description": "This paper presents data from studies performed to satisfy test orders from the US EPA’s Endocrine Disruptor Screening Program. Data Evaluation Records were used to collate the control variability and performance of biological endpoints in AMAs conducted in different laboratories, then supplemented with additional recent studies. We examine the statistical power of AMA endpoint analysis and assess whether historical control data (HCD) can assist evidence-based interpretation of the endpoints, with 52 studies from 7 different laboratories. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531896",
      "keyword": [
        "amphibian",
        "amphibian metamorphosis",
        "chemical safety screening",
        "endocrine disrupting chemicals",
        "in vivo variability"
      ],
      "contactPoint": {
        "fn": "Scott Lynn",
        "hasEmail": "mailto:lynn.scott@epa.gov"
      },
      "distribution": [
        {
          "title": "SI AMA HCD DB_191124.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531896/SI%20AMA%20HCD%20DB_191124.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-09",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2025.105773"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lead Sampling in Two Cities",
      "description": "Lead concentrations in drinking water samples collected under various sampling protocols in homes with lead service lines and in homes without lead service lines in two US cities. \n\nThis dataset is associated with the following publication:\nLytle, D., M. Urbanic, A. Paul, R. Achtemeier, A. Lewis, S. Hammaker, A. Estep, M. Nadagouda, R. James, and S. Triantafyllidou. Alternative approaches to lead sampling in drinking water: A comparative study of homes with and without lead service lines in two cities.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 994: 180063, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531901",
      "keyword": [
        "passive sampling device",
        "drinking water",
        "fully flushed",
        "lead",
        "sampling",
        "manual composite"
      ],
      "contactPoint": {
        "fn": "Simoni Triantafyllidou",
        "hasEmail": "mailto:triantafyllidou.simoni@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Two Cities Lead Sampling.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531901/SciHub%20Two%20Cities%20Lead%20Sampling.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-12",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.180063"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SM TS-2 to 5_THM analysis results (data for the 2018 sampling)",
      "description": "THM analysis results for water samples taken from the raw water and water treatment plant during the 2018 flood event. The water samples were chlorinated at 1,3,5 mg/L free chlorine. \n\nThis dataset is associated with the following publication:\nYang, J., C. Buahin, and R. Murray. Modeling and assessing chlorinated and brominated THM formation for water treatment adaptation against hydroclimatic impacts.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 999: 180312, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532338",
      "keyword": [
        "climate change",
        "THM formation",
        "NOM reactivity",
        "bromine incorporation",
        "Climate Change Adaptation",
        "water treatment modeling"
      ],
      "contactPoint": {
        "fn": "Yingping Yang",
        "hasEmail": "mailto:yang.jeff@epa.gov"
      },
      "distribution": [
        {
          "title": "SM TS-2 to 5_THM analysis results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532338/SM%20TS-2%20to%205_THM%20analysis%20results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-01",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.180312"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532338/documents/SM%20TS-2%20to%205_THM%20analysis%20results.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "DNA virus dynamics and diversity across different stages of wastewater treatment plant in southwest Ohio",
      "description": "The data consists of sequence reads generated from an Illumina MiSeq. \n\nThis dataset is associated with the following publication:\nRuth, N., N. Brinkman, M. Jahne, P. Chain, S. Keely, and M. Shakya. DNA viruses from different stages of a wastewater treatment plant in southwest Ohio.   Total Environment Microbiology. Elsevier B.V., Amsterdam,  NETHERLANDS, 1(4): 100031, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532505",
      "keyword": [
        "wastewater treatment",
        "virome",
        "viral metagenomics"
      ],
      "contactPoint": {
        "fn": "Stephen Musson",
        "hasEmail": "mailto:musson.steve@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1133033",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1133033",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-08",
      "references": [
        "https://doi.org/10.1016/j.temicr.2025.100031"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2025 Grand Lake St. Marys flow cytometry data for planktothrix",
      "description": "This data set includes flow cytometry data for planktothrix in samples collected from Gran Lake St. Marys and downstream waterways in 2025",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532485",
      "keyword": [
        "HABs",
        "planktothrix",
        "cyanobacteria",
        "flow cytometry"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub FlowCam Data GLSM 2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532485/Sci%20Hub%20FlowCam%20Data%20GLSM%202025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2024 Grand Lake St. Marys flow cytometry data for planktothrix",
      "description": "This data set includes flow cytometry data for planktothrix in samples collected from Grand Lake St. Marys and downstream waterways in 2024.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532484",
      "keyword": [
        "HABs",
        "planktothrix",
        "cyanobacteria",
        "flow cytometry"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Sci Hub FlowCam Data GLSM 2024.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532484/Sci%20Hub%20FlowCam%20Data%20GLSM%202024.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using bioavailability modeling to refine copper treatments for zebra mussel control and better understanding risks to non-target species",
      "description": "Data are biological and chemical in nature. They describe organismal responses to copper treatments. The abstract can be found below. \n\nCopper can be toxic to aquatic organisms at high concentrations and has been previously used successfully to control zebra mussels (Dreissena polymorpha). Because copper’s toxicity changes with water chemistry, using the same copper concentration in different waterbodies could yield different outcomes. We demonstrate how measuring water chemistry parameters and using the Biotic Ligand Model (BLM) and multiple linear regression (MLR) models can predict a suitable, site-specific copper concentration for management. We exposed zebra mussel adults and non-target organisms to varying concentrations of copper over 10 d in a mobile laboratory. We found that one non-target species, Daphnia magna, had a 50% chance of survival at 9.50 µg Cu/L (i.e., the 50% lethal concentration, LC50), within our BLM-predicted range of 3.38–16.95 µg Cu/L LC50 values. In the future, managers could make similar predictions and tailor their copper concentrations to their management goals. We also measured zebra mussel larvae mortality at copper concentrations ranging from 0 to 191 µg Cu/L. While those results were inconclusive, we present the results of this work as a foundation for future projects. Our study underscores the importance of developing site-specific copper concentration recommendations and demonstrates the potential utility of the BLM and MLR approaches for informing those recommendations. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532525",
      "keyword": [
        "Dreissenid mussel",
        "Copper toxicity",
        "Lake management",
        "invasive species",
        "Side effects"
      ],
      "contactPoint": {
        "fn": "Mark Jankowski",
        "hasEmail": "mailto:jankowski.mark@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.13020/z2yx-dq24",
          "accessURL": "https://doi.org/10.13020/z2yx-dq24",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-10-10",
      "references": [
        "https://doi.org/10.1038/s41598-025-09231-4"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biodegradation of fluorine-free foams",
      "description": "Biodegradation data under aerobic and anaerobic conditions for:\nTotal Carbon\tTC\nInorganic  Carbon\tIC\nDissolved Organinc Carbon\tDOC\nTotal Suspended Solids\tTSS\nVolatile Suspended Solids\tVSS\ntriethylene glycol monododecyl ether\tTGDE\nN,N-dimethyldodecylamine N-oxide\tDDAO\ndiethylene glycol monobutyl ether\tDGBE\nethylene glycol monododecyl ether\tEGDE\nethylene glycol butyl ether\tEGBE\nN,N-dimethyltetradecylamine-N-oxide\tDTAO\nsodium lauryl sulfate\tSLS\nsodium n-tridecyl sulfate\tSTS. \n\nThis dataset is associated with the following publication:\nPenrose, M., M. Modiri, V. Gomez-Alvarez, H. Ryu, M.N. Nadagouda, and M. Ateia. Fluorine-free foams exhibit incomplete aerobic and anaerobic biodegradation, create redox-specific byproducts and shift microbial communities.   Environmental Science: Processes & Impacts. Royal Society of Chemistry, Cambridge,  UK, 27(9): 2809-2820, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532129",
      "keyword": [
        "Biodegradation",
        "foams",
        "Aerobic",
        "anaerobic"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "F3 Data Summary Tables.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532129/F3%20Data%20Summary%20Tables.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": [
        "https://doi.org/10.1039/d5em00420a"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript: Sustainability Assessment of Additive Manufacturing End-of-Life Material Management",
      "description": "The AM EoL - Material Flow Analysis and GREENSCOPE_11-25-23_TradeOff.xlsx file contains the data supporting the GREENSCOPE sustainability assessment associated with the management of end-of-life (EoL) materials following additive manufacturing. This repository contains an Excel spreadsheet used to calculate material and energy flows of additive manufacturing products during their end-of-life stage. GREENSCOPE Calculation Tab supplies the data and calculations to obtain the energy, economics, material efficiency, and environmental sustainability indicators; parameters and assumptions are listed in the “EoL Material Flow Analysis” Tab. All references leading to the necessary parameters and assumptions are listed in the “References” tab. Other Tabs like Energy Indicator, Economic Indicator, Efficiency Indicator, and Environmental Indicator Tabs show more granular steps to calculate each sustainability indicator.\nThe Microsoft word information document titled “Chea_GS AM EoL Sustainability Analysis SupportingInfo grm_jdc.docx” contains a list of parameters and numerical assumptions made for the material flow analysis in the end-of-life stage following additive manufacturing; conceptual assumptions; material flow analysis results tracing the mass distribution of the additive manufacturing industry; and additional references.\nThe file Figure 2 Data - Sustainability Assessment of AM EoL Material Management.docx contains the data used to make Figure 2. \n\nThis dataset is associated with the following publication:\nChea, J.D., G.J. Ruiz-Mercado, R.L. Smith, M.A. Gonzalez, and D.E. Meyer. Sustainability assessment of additive manufacturing end-of-life material management.   Next Sustainability. Elsevier B.V., Amsterdam,  NETHERLANDS, 5: 100085, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530477",
      "keyword": [
        "End-of-Life Material Management",
        "Additive Manufacturing",
        "3D printing",
        "sustainability assessment",
        "GREENSCOPE"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "Figure 2 Data - Sustainability Assessment of AM EoL Material Management.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530477/Figure%202%20Data%20-%20Sustainability%20Assessment%20of%20AM%20EoL%20Material%20Management.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chea_GS AM EoL Sustainability Analysis SupportingInfo grm_jdc.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530477/Chea_GS%20AM%20EoL%20Sustainability%20Analysis%20SupportingInfo%20grm_jdc.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AM EoL - Material Flow Analysis and GREENSCOPE_11-25-23_TradeOff.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530477/AM%20EoL%20-%20Material%20Flow%20Analysis%20and%20GREENSCOPE_11-25-23_TradeOff.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-11",
      "references": [
        "https://doi.org/10.1016/j.nxsust.2024.100085"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Bromodichloromethane Evidence Map Dataset",
      "description": "This dataset contains the title and abstract level and full text screening results of a systematic literature search for the disinfection byproduct bromodichloromethane up to June 2025. This dataset can be used to complete a systematic evidence map for this particular byproduct.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532524",
      "keyword": [
        "human health",
        "Drinking water contaminants",
        "Byproducts",
        "Water monitoring"
      ],
      "contactPoint": {
        "fn": "Janice Lee",
        "hasEmail": "mailto:lee.janices@epa.gov"
      },
      "distribution": [
        {
          "title": "Bromodichloromethane_SEM_Fulltext_complete_2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532524/Bromodichloromethane_SEM_Fulltext_complete_2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Bromodichloromethane_SEM_complete_TIAB_2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532524/Bromodichloromethane_SEM_complete_TIAB_2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-18",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Chuman et al. assessing the effects of bedrock on sensitivity to N deposition",
      "description": "This is the dataset used in Chuman et al., which is an assessment of the effect of nitrogen deposition on plant communities in the U.S. and Czech Republic, and how bedrock modifies that response. This dataset is not publicly accessible because: It is not EPA's data to share. It can be accessed through the following means: Contact Thomas Chuman for access to the data (tomas.chuman@email.cz). Format: It is a .csv file.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531748",
      "keyword": [
        "air quality",
        "NAAQS",
        "Nitrogen and Co-pollutants",
        "biodiversity",
        "critical loads"
      ],
      "contactPoint": {
        "fn": "Christopher Clark",
        "hasEmail": "mailto:clark.christopher@epa.gov"
      },
      "distribution": [],
      "modified": "2025-08-04",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Amphibian SDM and Crop Frequency Hot Spot Analysis Source Data",
      "description": "Links provide access to the following input datasets:\n- Current range data/shapefiles can be accessed using the IUCN Red List website. Search the species of interest to download the available data.\n- Species observation data from iNaturalist and GBIF. Search the species of interest to download the available data.\n- GTOPO30 elevation data from USGS. Use Entity ID GT30W100N40 and GT30W100N90 to access elevation data or the eastern US.\n- WorldClim baseline and future climate projections. \n- Conterminous United States Land Cover Projections for 1992 to 2100 from USGS.\n- 2023 Crop Frequency Layer for US from USDA. Identifies crop specific planting frequency using land cover information from 2008-2023.\n- Watershed Boundary Dataset (WBD) for US from USGS \n\nMetadata for each dataset is provided by each data source. \n\nThis dataset is associated with the following publication:\nReimer, J., J. Bousquin, and J. Awkerman. Amphibian species vulnerability to agricultural pressure resulting from changing climate suitability in the southeastern US.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA,  vjaf109, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532043",
      "keyword": [
        "conservation",
        "climate",
        "ecological risk",
        "Agriculture"
      ],
      "contactPoint": {
        "fn": "Jackson Reimer",
        "hasEmail": "mailto:reimer.jackson@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.iucnredlist.org/",
          "accessURL": "https://www.iucnredlist.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.inaturalist.org/",
          "accessURL": "https://www.inaturalist.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.gbif.org/",
          "accessURL": "https://www.gbif.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://earthexplorer.usgs.gov/",
          "accessURL": "https://earthexplorer.usgs.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.worldclim.org/",
          "accessURL": "https://www.worldclim.org/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.sciencebase.gov/catalog/item/5b96c2f9e4b0702d0e826f6d",
          "accessURL": "https://www.sciencebase.gov/catalog/item/5b96c2f9e4b0702d0e826f6d",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php",
          "accessURL": "https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.usgs.gov/national-hydrography/access-national-hydrography-products",
          "accessURL": "https://www.usgs.gov/national-hydrography/access-national-hydrography-products",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-02-28",
      "references": [
        "https://doi.org/10.1093/inteam/vjaf109",
        "https://pasteur.epa.gov/uploads/10.23719/1532043/documents/SDM_biomod2_Scripts_20250318.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532043/documents/Crop_HSA_PythonScripts_20250513.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data availability for Zhang et al. 2025 ",
      "description": "The data for Zhang et al. 2025 are publicly available online in the supplementary information associated with the article. See link provided. \n\nThis dataset is associated with the following publication:\nZhang, X., S.D. LeDuc, S. Kim, B.E. Dale, K. Zhao, Y. Zhou, G.W. McCarty, and G.E. Moglen. Soil erosion and lateral carbon fluxes from corn stover-derived biofuel.   Scientific Reports. Nature Publishing Group, London,  UK, 15(1): 18315, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532509",
      "keyword": [
        "biofuel",
        "Corn Stover",
        "Erosion",
        "carbon",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Stephen Leduc",
        "hasEmail": "mailto:leduc.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.nature.com/articles/s41598-025-99218-y#Sec13",
          "accessURL": "https://www.nature.com/articles/s41598-025-99218-y#Sec13",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-05-26",
      "references": [
        "https://doi.org/10.1038/s41598-025-99218-y",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12106714"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Hydrologic data compilation from headwater stream case studies for open access",
      "description": "Drying has a major impact on pattern and process in streams, particularly in small or headwater streams. Such streams that dry recurrently are called non-perennial streams and represent most of the channel length across river networks. In spite of their prevalence, non-perennial streams are vastly underrepresented in existing stream gaging networks and in maps and hydrographic datasets.  However, diverse and spatially extensive datasets of surface water presence observations exist as well as recently developed mobile applications that could help fill the data gap in characterizing the spatial extent of non-perennial streams. Hydrological data from perennial and non-perennial reaches were compiled from a series of studies on headwater streams to expand available data for mapping and modeling efforts in the United States. Hydrologic data within this compilation include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying.\nThese data were compiled across a series of studies on headwater streams (drainage area ~2.6 km2 or less) and were used to characterize their hydrology. Hydrologic data within this compilation are organized into files based on type of hydrologic data and study area. The types of hydrologic data include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying. The study areas included in the compilation include headwater streams in Kentucky (Robinson Forest), Illinois (Shawnee National Forest), Indiana (Hoosier National Forest), New Hampshire (Dodge Brook), New York (Balsam Lake Mountain), North Dakota (Pipestem), Ohio (Congress Run, Edgewood Preserve, Edge of Appalachia, Wayne National Forest), South Carolina (Carolina Sandhills, Sugarloaf Mountain, Sumter National Forest Enoree and Long Cane Districts), Tennessee (Big Ridge), Vermont (Hinesburg), Washington (Mt. Baker-Snoqualmie), and West Virginia (Coopers Rock). A more detailed description of the data files are included within the Data description.docx and Data Dictionary for logger data compilation.xlsx files.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532528",
      "keyword": [
        "intermittent",
        "perennial",
        "ephemeral",
        "headwaters",
        "hydrology",
        "discharge",
        "streams"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Logger data compilation from case study areas.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532528/Logger%20data%20compilation%20from%20case%20study%20areas.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-26",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.6259 31.8904, -70.5532 31.8904, -70.5532 48.9744, -122.6259 48.9744, -122.6259 31.8904))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532528/documents/Data%20Dictionary%20for%20logger%20data%20compilation%20.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Anthropogenic metal storage in wetland soils across the conterminous United States",
      "description": "Publicly available data used to generate manuscript figures. \n\nThis dataset is associated with the following publication:\nDietrich, M., M. Dumelle, A. Nahlik, H. Golden, J. Christensen, C. Lane, E. Moore, and G. Filippelli. Anthropogenic Metal Storage in Wetland Soils Across the Conterminous United States.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 45: 64, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531943",
      "keyword": [
        "CONUS",
        "national-scale",
        "metals",
        "wetland metal storage",
        "wetlands"
      ],
      "contactPoint": {
        "fn": "Heather Golden",
        "hasEmail": "mailto:golden.heather@epa.gov"
      },
      "distribution": [
        {
          "title": "Golden_Dietrich_SciHub_CONUSwetmetals_ES&T_011625.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531943/Golden_Dietrich_SciHub_CONUSwetmetals_ES%26T_011625.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "0025-01-16",
      "references": [
        "https://doi.org/10.1007/s13157-025-01946-4",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12208503"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chronic PFAS Exposure Induces Chemotherapy Resistance by Promoting Mitochondria-Related Alterations in Ovarian Cancer Cells",
      "description": "Sequencing and transcriptomics measurements, flow cytometry measurements, plate reads. \n\nThis dataset is associated with the following publication:\nRickard, B., L. Sapienza Lundie, M. Overchuck, J. Tulino, M. Prates Mori, J. McCord, V. Chappell, C. Bortner, V. Bae-Jump, J. Santos, S. Fenton, and I. Rizvi. Chronic PFAS Exposure Induces Chemotherapy Resistance by Promoting Mitochondria-Related Alterations in Ovarian Cancer Cells.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 284: 122211, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532459",
      "keyword": [
        "perfluoroalkyl substances (PFAS)",
        "platinum resistance",
        "Ovarian cancer",
        "chemoresistance",
        "Mitochondria"
      ],
      "contactPoint": {
        "fn": "Brent Johnson",
        "hasEmail": "mailto:johnson.brent@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.22427/NTP-DATA-500-109-001-000-6",
          "accessURL": "https://doi.org/10.22427/NTP-DATA-500-109-001-000-6",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-16",
      "references": [
        "https://doi.org/10.1016/j.envres.2025.122211"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Utah Winter Fine Particle Study Data Archive",
      "description": "NOAA hosted data archive for the 2017 Utah Winter Fine Particle Study. \n\nThis dataset is associated with the following publication:\nChristie, J., H. Elliott, S.M.O. O’Connell-Lopez, K. Perry, K. Pratt, A.G. Hallar, A. Hrdina, J.G. Murphy, T. Riedel, R. Long, D. Mitroo, J.D. Haskins, and C.J. Gaston. Halogen Production from Playa Dust Emitted from the Great Salt Lake: Implications of the Shrinking Great Salt Lake on Regional Air Quality.   ACS Earth and Space Chemistry. American Chemical Society, Washington, DC, USA, 9(3): 480–493, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532065",
      "keyword": [
        "mineral dust",
        "Nitryl Chloride",
        "Dinitrogen Pentoxide",
        "Halogen Production",
        "Aerosol",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Russell Long",
        "hasEmail": "mailto:long.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "https://csl.noaa.gov/groups/csl7/measurements/2017uwfps/Ground/DataDownload/",
          "accessURL": "https://csl.noaa.gov/groups/csl7/measurements/2017uwfps/Ground/DataDownload/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2018-03-01",
      "references": [
        "https://doi.org/10.1021/acsearthspacechem.4c00258"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "GHGSat_landfill_survey_Dataset",
      "description": "Dataset and data dictionary associated with the journal article titled “A High-resolution Satellite Survey of Methane Emissions from Sixty North American Municipal Solid Waste Landfills”, Krause M., Thoma, E.D. (corresponding author), Bryant, A., Brantley, H., MacDonald, M., Green, R., Thorneloe, S., ES&T, 2025, 59 (29), (Published July 7, 2025). ”, by Krause M., Thoma, E.D. (corresponding author), Bryant, A., Brantley, H., MacDonald, M., Green, R., Thorneloe, S., ES&T, 2025, 59 (29), (Published July 7, 2025). DOI: 10.1021/acs.est.5c01409. \n\nThis dataset is associated with the following publication:\nKrause, M., E. Thoma, A. Bryant, H. Brantley, M. MacDonald, R. Green, and S. Thorneloe-Howard. A High-Resolution Satellite Survey of Methane Emissions from 60 North American Municipal Solid Waste Landfills.   ACS ES&T Air. American Chemical Society, Washington, DC, USA,  15080-15091, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532448",
      "keyword": [
        "Landfill",
        "Landfill Methane",
        "Satellite observations"
      ],
      "contactPoint": {
        "fn": "Eben Thoma",
        "hasEmail": "mailto:thoma.eben@epa.gov"
      },
      "distribution": [
        {
          "title": "GHGSat_landfill_survey_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532448/GHGSat_landfill_survey_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-04",
      "references": [
        "https://doi.org/10.1021/acs.est.5c01409"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.7051 24.7806, -67.0273 24.7806, -67.0273 50.5746, -125.7051 50.5746, -125.7051 24.7806))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Eklof et al, 2025 dataset",
      "description": "The dataset provides an excel file summary of the information used to generate Figures 2 and 4 in the journal article. The other figures in the paper are not based on datasets. The data used to generated Figures 2 and 4 combinates information found in Table 1 of the main text and Tables S3 and S5 in the Supporting Information. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-djhw",
      "keyword": [
        "mercury",
        "Forestry Impact"
      ],
      "contactPoint": {
        "fn": "Chris Eckley",
        "hasEmail": "mailto:eckley.chris@epa.gov"
      },
      "distribution": [
        {
          "title": "Eklof et al 2025 Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-djhw/Eklof%20et%20al%202025%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-06-01",
      "references": [
        "https://doi.org/10.1021/acs.est.5c02787",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12329714"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for Thermophysical treatment technologies for chemical warfare agents sulfur mustard, sarin, and nerve agent VX - A Review",
      "description": "All data is available from the sources as cited in the journal references. This dataset is not publicly accessible because: Data is available through publicly accessible journal articles. It can be accessed through the following means: Data can be accessed through journal article references. Format: various formats. \n\nThis dataset is associated with the following publication:\nBoddu, V.M., J. Morales, M.N. Nadagouda, L. Oudejans, and L. Brooks. Thermophysical treatment technologies for chemical warfare agents sulfur mustard, sarin, and nerve agent VX - A Review.   Environmental Science: Advances. Royal Society of Chemistry, London,  UK, 4(10): 1538-1552, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532532",
      "keyword": [
        "Biological Warfare Agents",
        "physical treatment",
        "chemical warfare agents",
        "Chemical Degradation",
        "Decontamination",
        "Deactivation",
        "sulfur mustard",
        "sarin",
        "oxidation",
        "pesticides",
        "spores"
      ],
      "contactPoint": {
        "fn": "Stephen Musson",
        "hasEmail": "mailto:musson.steve@epa.gov"
      },
      "distribution": [],
      "modified": "2025-07-26",
      "references": [
        "https://doi.org/10.1039/d5va00071h"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Headwater streams and catchments across the conterminous United States",
      "description": "Data available in Zenodo via doi: 10.5281/zenodo.16318572\n\nHeadwater streams play critical roles in hydrologic and biogeochemical processes and functions, yet their spatial distribution and land cover context remain poorly understood at continental scales. Building from a high-resolution conterminous United States (CONUS) hydrography network dataset, we quantified the spatial extent, density, and upstream catchment characteristics of headwater stream segments across the CONUS. We identified approximately 8.4 million kilometers of headwater streams – 77% of the total stream network is comprised of headwaters – nearly double the total length represented in prior estimates. Stream density varied fivefold across regions, from under 1 km•km-² in arid basins to over 5 km•km-² in humid, forested areas. Over 73% of the CONUS landmass drains from headwater streams. The majority of headwater stream length occurred in forested and cultivated catchments across the CONUS, while substantial regional differences were evident for headwater stream distribution in other land cover classes (e.g., wetlands, urban areas, shrublands, and herbaceous-dominated catchments). Our analysis provides the first continental-scale, high-resolution characterization of headwater streams, offering new insights and opportunities for hydrologic modeling, ecological assessments, and environmental policy.\n\nPlain Language Summary:\nHeadwater streams—the small streams at the origins of rivers—are essential for clean water and healthy ecosystems. But because they’re small and often hidden, they've been hard to identify and delineate nationwide due to inconsistent data and definitions. This study combined existing data sets and added new analyses to consistently map headwater streams and the drainages across the conterminous United States (CONUS). Analysis of these data revealed that headwater streams are nearly twice as widespread as previously shown, totaling 8.4 million kilometers. We also found that most land drains to a headwaters stream, and most stream kilometers are headwaters. Human alteration of the landscape for agriculture and urbanization also reduces the prevalence of headwater streams. This is the first time headwater streams have been identified on available maps with such granularity and spatially explicit detail across the CONUS, offering a powerful new tool to guide conservation and policy.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532382",
      "keyword": [
        "headwater streams",
        "land cover",
        "land use"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "Figures_datasummary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532382/Figures_datasummary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-28",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-130.019 23.7472, -62.9785 23.7472, -62.9785 49.5182, -130.019 49.5182, -130.019 23.7472))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Non-floodplain wetlands are carbon-storage powerhouses",
      "description": "Carbon dynamics in wetlands are important to quantify as wetlands both store and release carbon, affecting global climate-change modeling and mitigation efforts. Non-floodplain wetlands (NFWs) are an abundant freshwater wetland type located outside of frequently flooded streams, rivers, and lake areas. Over half the world’s wetlands may be NFWs. We analyzed data from a multi-year sampling effort of nearly 2000 wetland sites in the conterminous-US (CONUS), sampled to be representative of nearly 38 Mha of CONUS wetlands. Wetlands were classified based on their hydrology and location as NFWs and other wetland types (e.g., associated with rivers, lakes, or estuaries). Wetlands were also classed and analyzed based on their relative condition (i.e., their health relative to other wetlands). Our results show that NFWs are carbon-storing powerhouses: on a per-hectare basis, they store 1.5x the soil carbon of other wetland types. When storage is summed across CONUS, NFWs in total store ~2.0x the total carbon of other wetlands. Wetland condition affects carbon dynamics: least impaired NFWs had 1.8x the carbon stored per-hectare than the most-disturbed NFWs. Waning protection of NFWs, leading to their alteration or destruction, could increase carbon releases to the atmosphere and negatively affect global climate change mitigation. \n\nThis dataset is associated with the following publication:\nLane, C., A. Nahlik, J. Christensen, H. Golden, M. Dumelle, E. D'Amico, and T. Olsen. Non-Floodplain Wetlands Are Carbon-Storage Powerhouses Across the United States.   Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 13(4): e2024EF005594, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531775",
      "keyword": [
        "north america",
        "biogeochemical cycles",
        "wetlands",
        "upland-embedded wetland",
        "National Wetland Condition Assessment (NWCA)",
        "National Aquatic Resource Surveys (NARS)"
      ],
      "contactPoint": {
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://doi.org/10.1029/2024ef005594",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12181950"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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          {
            "name": "U.S. Environmental Protection Agency",
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              {
                "name": "U.S. Government"
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    {
      "title": "PM2.5 Chemical Composition in the Conterminous U.S. during 2006-2020",
      "description": "Spatiotemporal trends in PM2.5 chemical composition in the conterminous U.S. This dataset is not publicly accessible because: Non-EPA data owned by University of North Carolina at Chapel, Institute for the Environment. It can be accessed through the following means: Contact Saravanan Arunachalam at UNC Chapel Hill:  sarav@email.unc.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nCheng, B., K. Alapaty, and S. Arunachalam. Spatiotemporal Trends in PM2.5 Chemical Composition in the Conterminous U.S. during 2006-2020.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 316: 120188, (2024).",
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      "identifier": "https://doi.org/10.23719/1532458",
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        "fn": "William Yelverton",
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      "modified": "2025-08-14",
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
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                "name": "U.S. Government"
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        "020:00"
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        "National Nutrient Inventory",
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        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
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          "title": "WetlandTables_1997.zip",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-np67/WetlandTables_1987.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "WetlandNNI_ReadMe.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-np67/Accumulated_Phosphorus_Metrics.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Accumulated_Nitrogen_Metrics.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-np67/Accumulated_Nitrogen_Metrics.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": null,
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            "name": "U.S. Government"
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      "accessRights": "public"
    },
    {
      "title": "Filter comparison",
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      "accessLevel": "public",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532130",
      "keyword": [
        "percent recovery",
        "somatic coliphage",
        "F+ coliphage",
        "holding times",
        "Ultrafiltration"
      ],
      "contactPoint": {
        "fn": "Asja Korajkic",
        "hasEmail": "mailto:korajkic.asja@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub_Filter comparison.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532130/SciHub_Filter%20comparison.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-27",
      "references": [
        "https://doi.org/10.1016/j.jviromet.2025.115267"
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      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Pyromorphite Solubility Study over pH range of 2 to 10",
      "description": "This dataset contains the mid IR spectrum and XRD pattern of synthesized pyromorphite and the Pb, P, Cl, pH and EC measurements for the solubility batch reactions. \n\nThis dataset is associated with the following publication:\nChevis, D., Y. Wan, and K. Scheckel. An integrated experimental and modeling approach to understand pyromorphite solubility.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 388: 144694, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532286",
      "keyword": [
        "lead",
        "geochemical modeling",
        "Heavy Metal Remediation",
        "soil contamination",
        "mineral solubility"
      ],
      "contactPoint": {
        "fn": "Darren Chevis",
        "hasEmail": "mailto:chevis.darren@epa.gov"
      },
      "distribution": [
        {
          "title": "CPY6_Phos_01032024.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY6_Phos_01032024.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY6_pH_EC.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY6_pH_EC.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY6_Chloride_04102023.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY6_Chloride_04102023.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY6_08102023_PbICPMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY6_08102023_PbICPMS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "CPY6_04182023_PbICPMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY6_04182023_PbICPMS.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY_XRD.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY_XRD.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY_midFTIR.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY_midFTIR.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CPY_Metadata.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532286/CPY_Metadata.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        "https://doi.org/10.1016/j.chemosphere.2025.144694"
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
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                "name": "U.S. Government"
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            ]
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      "accessRights": "public"
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    {
      "title": "Seasonal Stratification Drives Bioaccumulation of Pelagic Mercury Sources in Eutrophic Lakes",
      "description": "Supplemental materials for \"Seasonal Stratification Drives Bioaccumulation of Pelagic Mercury Sources in Eutrophic Lakes\"",
      "accessLevel": "public",
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        "020:00"
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      "identifier": "https://doi.org/10.23719/d-x3gc",
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        "Freshwater",
        "Eutrophic Lake",
        "mercury",
        "methylmercury",
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      ],
      "contactPoint": {
        "fn": "Ryan Lepak",
        "hasEmail": "mailto:lepak.ryan@epa.gov"
      },
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          "title": "ew5c00028_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-x3gc/ew5c00028_si_001.pdf",
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            "subOrganizationOf": [
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    },
    {
      "title": "Volatile Per and Polyfluoroalkyl Substances Adsorption to Filters, Implications for Sampling and Environmental Fate Studies",
      "description": "This research effort represents our initial method development research for soil gas, sewer gas, and indoor air samples for PFAS analyses as related to vapor intrusion. The product and associated subsequent products will be consistently updated leading to a constantly expanding database incorporating additional experiments. ",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532077",
      "keyword": [
        "fluorotelomer alcohols",
        "indoor air",
        "PFAS",
        "filters",
        "vapor intrusion"
      ],
      "contactPoint": {
        "fn": "Alan Williams",
        "hasEmail": "mailto:williams.alan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://catalog.data.gov/dataset/laboratory-development-and-validation-of-vapor-phase-pfas",
          "accessURL": "https://catalog.data.gov/dataset/laboratory-development-and-validation-of-vapor-phase-pfas",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": null,
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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            ]
          }
        ]
      },
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    },
    {
      "title": "Analytical Dataset",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
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        "020:000"
      ],
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        "Printing Ink",
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        "particulate matter (PM)"
      ],
      "contactPoint": {
        "fn": "Joseph Martin",
        "hasEmail": "mailto:martin.joseph@epa.gov"
      },
      "distribution": [
        {
          "title": "PRINT Dataset for ScienceHub Distribution.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532535/PRINT%20Dataset%20for%20ScienceHub%20Distribution.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
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      "references": [
        "https://doi.org/10.1021/acsestair.5c00185"
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        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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      ],
      "accessRights": "public"
    },
    {
      "title": "Using eDNA as a viable fish monitoring approach in Northern Gulf estuarine habitats",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-dz0t",
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        "environmental DNA",
        "environmental monitoring",
        "estuary"
      ],
      "contactPoint": {
        "fn": "Linda Harwell",
        "hasEmail": "mailto:harwell.linda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1007/s10661-025-14596-0",
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        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Datasets for manuscript \"Integrating data engineering and process systems engineering for end-of-life chemical flow analysis\"",
      "description": "The Github Repository, https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0,, is publicly available and referenced in supplementary information. This GitHub repository describes the computational framework overview, software requirements, model use, model output, and disclaimer.\nThis repository presents a multi-scale framework that combines data engineering with process systems engineering (PSE) to enhance the precision of chemical flow analysis (CFA) at the end-of-life (EoL) stage. The focus is on chemicals used in plastic manufacturing, tracing their flows through the supply chain and EoL pathways. Additionally, this study examines potential discharges from material recovery facilities to publicly owned treatment works (POTW) facilities, recognizing their relevance to human and environmental health. Tracking these discharges is critical, as industrial EoL material transfers to POTWs can interfere with biological treatment processes, leading to unintended environmental chemical releases. By integrating data-driven methodologies with mechanistic modeling, this framework supports the identification, quantification, and regulatory assessment of chemical discharges, providing a science-based foundation for industrial and policy decision-making in sustainable material and water management.\nThe attached file CoU - Metadata File.xlsx contains the datasets to build Figure 3 and describe a qualitative flow diagram of methyl methacrylate from manufacturing to potential consumer products generated from the Chemical Conditions of Use Locator methodology (https://doi.org/10.1111/jiec.13626). \nThe attached file \"MMA POTW Dataset.xlsx\" contains the datasets needed to run the Chemical Tracker and Exposure Assessor in Publicly Owned Treatment Works Model (ChemTEAPOTW) as described in the Github Repository https://github.com/gruizmer/ChemTEAPOTW. \nThe attached file \"Plastic Data-Calculations-Assumptions.docx\" contains all calculations and assumption to estimate the methyl methacrylate (MMA) releases from plastic recycling. \nFinally, users can generate Figures 4 and 5 after following the step-by-step process described in main Github repository for the MMA case study. \n\nThis dataset is associated with the following publication:\nHernandez-Betancur, J.D., J.D. Chea, D. Perez, and G.J. Ruiz-Mercado. Integrating data engineering and process systems engineering for end-of-life chemical flow analysis.   COMPUTERS AND CHEMICAL ENGINEERING. Elsevier Science Ltd, New York, NY, USA, 204: 109414, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532113",
      "keyword": [
        "chemical risk evaluation",
        "data engineering",
        "Chemical Flow Analysis",
        "End-of-life",
        "machine learning"
      ],
      "contactPoint": {
        "fn": "Gerardo Ruiz-Mercado",
        "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0",
          "accessURL": "https://github.com/jodhernandezbe/TRI4PLADS/tree/v1.0.0",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://zenodo.org/records/15066734",
          "accessURL": "https://zenodo.org/records/15066734",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CoU - Metadata File.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532113/CoU%20-%20Metadata%20File.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "MMA POTW Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532113/MMA%20POTW%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Plastic Data-Calculations-Assumptions.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532113/Plastic%20Data-Calculations-Assumptions.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-27",
      "references": [
        "https://doi.org/10.1016/j.compchemeng.2025.109414"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data set used for Patterns in physical structure of coral reefs in Florida, USA",
      "description": "This file contains coral reef physical structure summary data collected from 6,016 10m2 stations in the Florida Reef Tract during 2005-2020 that was put together and modified for analysis by William S. Fisher. Data were taken from the Florida Fish and Wildlife Conservation Commission Disturbance Response Monitoring (DRM) Program. A worksheet tab called \"File information\" contains a description and explanation of the data. \n\nThis dataset is associated with the following publication:\nFisher, W.S., and J.F. Carriger. Patterns in physical structure of coral communities in Florida, USA.   CORAL REEFS. Springer, New York, NY, USA, 44: 1495-1512, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530695",
      "keyword": [
        "coral reef structure",
        "Data clustering",
        "coral demographics",
        "Florida Reef Tract",
        "Bayesian networks"
      ],
      "contactPoint": {
        "fn": "John Carriger",
        "hasEmail": "mailto:carriger.john@epa.gov"
      },
      "distribution": [
        {
          "title": "Florida Reef Tract Data for Clustering.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530695/Florida%20Reef%20Tract%20Data%20for%20Clustering.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-05-19",
      "references": [
        "https://doi.org/10.1007/s00338-025-02698-7"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "EcoHealth Relationship Browser update 2025MAY",
      "description": "Updates to ecohealth relationship browser text and bibliography",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532237",
      "keyword": [
        "Heat Stroke",
        "health linkage",
        "heat hazard mitigation",
        "EcoHealth Relationship Browser",
        "ecosystem services"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [
        {
          "title": "https://enviroatlas.epa.gov/enviroatlas/Tools/EcoHealth_RelationshipBrowser/index.html",
          "accessURL": "https://enviroatlas.epa.gov/enviroatlas/Tools/EcoHealth_RelationshipBrowser/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-21",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Redlining Exposure Metrics Project",
      "description": "We linked anonymous residential parcel information from Regrid with redlining polygons from Mapping Inequality, and assessed how assigning redlining grades from polygons to census tracts, census block groups, and ZIP codes might contribute to exposure misclassification in epidemiologic studies.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532331",
      "keyword": [
        "Exposure Misclassification",
        "Historical Redlining",
        "Spatial Misalignment",
        "HOLC Polygon"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dsl.richmond.edu/panorama/redlining/#loc=5/39.1/-94.58",
          "accessURL": "https://dsl.richmond.edu/panorama/redlining/#loc=5/39.1/-94.58",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://regrid.com/",
          "accessURL": "https://regrid.com/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www.census.gov/geographies/reference-maps/2020/geo/2020pl-maps/2020-census-tract.html",
          "accessURL": "https://www.census.gov/geographies/reference-maps/2020/geo/2020pl-maps/2020-census-tract.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-12-17",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532331/documents/DataDictionaryHOLCbyGeographyRequest1.docx",
        "https://pasteur.epa.gov/uploads/10.23719/1532331/documents/DataDictionaryHOLCbyGeographyRequest2.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-130.2991 24.0123, -63.3861 24.0123, -63.3861 52.1818, -130.2991 52.1818, -130.2991 24.0123))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532331/documents/DataDictionaryHOLCbyGeographyRequest2.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "NBDPS Epigenetics Manuscript",
      "description": "We used data from the National Birth Defects Prevention Study to identify infants born in North Carolina with available new born blood spots. We processed dried blood spots to characterize DNA methylation patterns and evaluated differences in DNA methylation patterns by birth defect status (no birth defect, diagnosed with Tetralogy of Fallot) and by exposure to air pollution. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Access to the data can be requested from CDC. Format: The data set is from CDC's National Birth Defect Prevention Study (NBDPS). The data include date of birth and residential address history, as well as other individual-level variables.",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532332",
      "keyword": [
        "Birth Defects",
        "Children's Environmental Health",
        "air pollution",
        "epigenetics",
        "DNA methylation",
        "Dried Blood Spots"
      ],
      "contactPoint": {
        "fn": "Thomas Luben",
        "hasEmail": "mailto:luben.tom@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-84.729 33.7327, -75.3299 33.7327, -75.3299 36.6581, -84.729 36.6581, -84.729 33.7327))"
        }
      ],
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Database Masterfile",
      "description": "The dataset is a emission factor database for open burning, open detonation and static fire of obsolete military ordnance. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1530971",
      "keyword": [
        "emissions",
        "detonation",
        "demilitarization",
        "database",
        "open burning",
        "emission factors"
      ],
      "contactPoint": {
        "fn": "Johanna Aurell",
        "hasEmail": "mailto:aurell.johanna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.tandfonline.com/doi/suppl/10.1080/07370652.2024.2346327?scroll=top",
          "accessURL": "https://www.tandfonline.com/doi/suppl/10.1080/07370652.2024.2346327?scroll=top",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Science Hub MasterFile.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530971/Science%20Hub%20MasterFile.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DeMil_Database.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530971/DeMil_Database.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Read-Me-First.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530971/Read-Me-First.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-05-09",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations",
      "description": "Links to data for \"The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations\". \n\nThis dataset is associated with the following publication:\nHanda, S., K. Isaacs, J. Wall, A. Larger, S. Burns, L. Koval, K. Baron-Furuyama, C. Elonen, D. Lyons, K. Dionisio, M.B. Horton, and K. Phillips. The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations.   Scientific Data. Springer Nature, LONDON,  UK, 12: 950, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532527",
      "keyword": [
        "ExpoCast",
        "ChemExpo",
        "chemical exposure",
        "chemical risk"
      ],
      "contactPoint": {
        "fn": "Katherine Phillips",
        "hasEmail": "mailto:phillips.katherine@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.5352997",
          "accessURL": "https://doi.org/10.23645/epacomptox.5352997",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/HumanExposure/data_mgmt_scripts",
          "accessURL": "https://github.com/HumanExposure/data_mgmt_scripts",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://api-ccte.epa.gov/docs/index.html",
          "accessURL": "https://api-ccte.epa.gov/docs/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/web/packages/ccdR/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/ccdR/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://pypi.org/project/ctx-python/",
          "accessURL": "https://pypi.org/project/ctx-python/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gist.github.com/kaphillips/1237872438efae58f724e2155623520d",
          "accessURL": "https://gist.github.com/kaphillips/1237872438efae58f724e2155623520d",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://gist.github.com/kaphillips/e40f2d8cf9ef13d7863678658a9770ce",
          "accessURL": "https://gist.github.com/kaphillips/e40f2d8cf9ef13d7863678658a9770ce",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-01",
      "references": [
        "https://doi.org/10.1038/s41597-025-05240-0",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144101"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Case study of DEHP Human biomonitoring health based guidance values",
      "description": "a database of human biomonitoring guidance values. This dataset is not publicly accessible because: It's publicly available at https://www.intlexposurescience.org/i-hbm/. It can be accessed through the following means: go to https://www.intlexposurescience.org/i-hbm/. Format: a database of human biomonitoring guidance values. \n\nThis dataset is associated with the following publication:\nMacey, K., R. Lange, P. Apel, D. Poddalgoda, A. Calafat, M. Kolossa-Gehring, J. LaKind, L. Melnyk, S. Nakayama, A. St-Armand, and T. Pollock. Human biomonitoring health-based guidance values: A case study of the HB2GV Dashboard and DEHP.   INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 263: 114490, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532007",
      "keyword": [
        "Human Biomonitoring",
        "health based guidane values",
        "Risk Assessment",
        "DEHP"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-31",
      "references": [
        "https://doi.org/10.1016/j.ijheh.2024.114490"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Human soil and dust ingestion data from the scientific literature",
      "description": "Data extracted from published scientific literature on soil and dust ingestion studies are included in the manuscript in Table S2. It includes age, age grouping, study type, study reference, N, mean, standard error, and 95% confidence intervals. \n\nThis dataset is associated with the following publication:\nCohen, J., H. Hubbard, H. Ozkaynak, K. Thomas, L. Phillips, and N. Tulve. Meta-analysis of soil and dust ingestion studies.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 261: 119649, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-t1gw",
      "keyword": [
        "Dust",
        "ingestion",
        "Trace elements",
        "soil",
        "children"
      ],
      "contactPoint": {
        "fn": "Nicolle Tulve",
        "hasEmail": "mailto:tulve.nicolle@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1016/j.envres.2024.119649",
          "accessURL": "https://doi.org/10.1016/j.envres.2024.119649",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-03",
      "references": [
        "https://doi.org/10.1016/j.envres.2024.119649"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "The thyroid hormone system disrupting potential of resorcinol in fish",
      "description": "Supplemental materials for \"The thyroid hormone system disrupting potential of resorcinol in fish\". \n\nThis dataset is associated with the following publication:\nVan Dingenen, I., E. Andersen, S. Volz, M. Christiansen, J. Novak, A. Haigis, E. Stacy, B. Blackwell, D. Villeneuve, L. Vergauwen, H. Klara, H. Holbech, and D. Knapen. The thyroid hormone system disrupting potential of resorcinol in fish.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY. Elsevier Science Ltd, New York, NY, USA, 284: 116995, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-dnd4",
      "keyword": [
        "endocrine disruption",
        "Adverse Outcome Pathways (AOPs)",
        "New Approach Methods (Alternatives to Animal Testing)",
        "zebrafish"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0147651324010716-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-dnd4/1-s2.0-S0147651324010716-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0147651324010716-mmc1.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-dnd4/1-s2.0-S0147651324010716-mmc1.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-04",
      "references": [
        "https://doi.org/10.1016/j.ecoenv.2024.116995"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NCS PFAS dietary data",
      "description": "Food frequency questionnaire data compared to PFAS measurements in serum of pregnant women enrolled in the National Children's Study. This dataset is not publicly accessible because: Data are not available from the authors as they were obtained through Data Use Agreements. It can be accessed through the following means: Create a Data Use Agreement with NCS Vanguard Data and Sample Archive and Access System and the NICHD Data and Specimen Hub (DASH). Format: This manuscript was prepared using National Children’s Study Research Materials obtained from the NCS Vanguard Data and Sample Archive and Access System and the NICHD Data and Specimen Hub (DASH). \n\nThis dataset is associated with the following publication:\nDeluca, N., K. Thomas, T. Luben, and L. Melnyk. Associations between self-reported consumption of foods and serum PFAS concentrations in a sample of pregnant women in the United States.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 276: 121461, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-bvqs",
      "keyword": [
        "food frequency questionnaire",
        "PFAS",
        "serum",
        "food categories"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-14",
      "references": [
        "https://doi.org/10.1016/j.envres.2025.121461"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NCS Dietary Data - FFC vs. biomarker",
      "description": "Data cannot be accessed until an agreement has been obtained. This dataset is not publicly accessible because: This manuscript was prepared using National Children’s Study Research Materials obtained from the NCS Vanguard Data and Sample Archive and Access System and the NICHD Data and Specimen Hub (DASH).  Data are not available from the authors as they were obtained through Data Use Agreements. It can be accessed through the following means: By signing a Data Use Agreement with NICHD DASH to provide the National Children's Study data. Format: This Manuscript was prepared using National Children’s Study Research Materials and data. \n\nThis dataset is associated with the following publication:\nMelnyk, L., T. Luben, J. Donovan, and K. Thomas. Associations Between Food Frequency Checklist Responses and Internal Biomarkers of Exposure to Pesticides and Heavy Metals Among U.S. Pregnant Women.   Next Research. Elsevier B.V., Amsterdam,  NETHERLANDS, 2(3): 100538, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532340",
      "keyword": [
        "national children's study",
        "food frequency checklist",
        "biomarker measurements"
      ],
      "contactPoint": {
        "fn": "Lisa Melnyk",
        "hasEmail": "mailto:melnyk.lisa@epa.gov"
      },
      "distribution": [],
      "modified": "2024-08-30",
      "references": [
        "https://doi.org/10.1016/j.nexres.2025.100538"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": " Air quality model data used in the analysis presented in manuscript \"A Diagnostic Intercomparison of Modeled Ozone Dry Deposition Over North America and Europe Using AQMEII4 Regional-Scale Simulations\"",
      "description": "This dataset contains the air quality model fields used for the analysis presented in manuscript “A Diagnostic Intercomparison of Modeled Ozone Dry Deposition Over North America and Europe Using AQMEII4 Regional-Scale Simulations” (Hogrefe et al., 2025, https://doi.org/10.5194/egusphere-2025-225). \n\nThis dataset is associated with the following publication:\nHogrefe, C., S. Galmarini, P. Makar, I. Kioutsioukis, O. Clifton, U. Alyuz, J. Bash, R. Bellasio, R. Bianconi, T. Butler, P. Cheung, A. Hodzic, R. Kranenburg, A. Lupascu, K. Momoh, J.L. Perez-Camanyo, J. Pleim, Y. Ryu, R. San Jose, M. Schaap, D. Schwede, and R. Sokhi. A diagnostic intercomparison of modeled ozone dry deposition over North America and Europe using AQMEII4 regional-scale simulations.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(19): 12629–12656, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532246",
      "keyword": [
        "land use",
        "Ozone Dry Deposition",
        "model intercomparison",
        "model evaluation",
        "aqmeii4"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.15127614",
          "accessURL": "https://doi.org/10.5281/zenodo.15127614",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-30",
      "references": [
        "https://doi.org/10.5194/acp-25-12629-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532246/documents/Dataset_Dictionary_HogrefeEtAl_2025.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Features for: Examining Chemical Space Coverage of Solid Phase Extraction Methods in Environmental Water for Use with Non-Targeted Analysis Methods",
      "description": "A full list of non-targeted chemical features found in the study \"Examining Chemical Space Coverage of Solid Phase Extraction Methods in Environmental Water for Use with Non-Targeted Analysis Methods.\" Including all chemical features detected by any of the four included solid phase extraction methods in February 2025 surface water across both ionization modes. Chemical identification candidates can be explored in GitHub with interactive scatterplots (https://alexchao32.github.io/SPE-Coverage-INTA-Visuals-ScatterPlot/) and bar chart visuals (https://alexchao32.github.io/SPE-Coverage-INTA-Visuals-BarCharts/). \n\nThis dataset is associated with the following publication:\nBrunelle, L., E. Stebel, A. Batt, A. Chao, and T. Ferland. Examining Chemical Space Coverage of Solid Phase Extraction Methods in Environmental Water for Use with LC-MS Non-Targeted Analysis Methods.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 1002: 180606, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532357",
      "keyword": [
        "Emerging Contaminants",
        "PFAS",
        "non-targeted analysis",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Angela Batt",
        "hasEmail": "mailto:batt.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "February2025-SPE_NonTargeted_ChemicalFeatures_Metadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532357/February2025-SPE_NonTargeted_ChemicalFeatures_Metadata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-10",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.180606"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "UNC COVID Healthcare Workers ",
      "description": "This is a study on healthcare workers at the University of North Carolina Hospital system conducted during the COVID-19 pandemic in 2020-2021. This includes responses to survey questions on occupation, living situation, mental health, physical health, prior COVID-19 infection, and vaccination status. As the data are identifiable, we cannot release them publicly. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: These data are owned by the University of North Carolina at Chapel Hill. Contact Dr. Emily Ciccone  ciccone@med.unc.edu with inquiries. Format: This dataset includes data on healthcare workers, including questionnaire responses and data from wearable tracking devices. These data are sensitive and participants are potentially identifiable. ",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-7wmj",
      "keyword": [
        "mental health",
        "Healthcare",
        "Perceived Stress",
        "COVID-19"
      ],
      "contactPoint": {
        "fn": "Anne Weaver",
        "hasEmail": "mailto:weaver.anne@epa.gov"
      },
      "distribution": [],
      "modified": "2025-10-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Thematic accuracy assessment of the National Land Cover Database (NLCD2021) for the conterminous United States",
      "description": "The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. The NLCD 2021 release is update based, so the Land Cover and Impervious Surface products released in 2019 are unchanged and used directly with NLCD 2021 for change analysis though the NLCD timespan. Science products and the change index are updated and will need to be reacquired to contain the additional 2021 change. These new products use a streamlined compositing process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a theme-based post-classification protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and a scripted operational system. The overall accuracy of the 2019 Level I land cover was 91%. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2021 operational mapping (see https://doi.org/10.1080/15481603.2023.2181143 for the latest accuracy assessment publication). Questions about the NLCD 2021 land cover product can be directed to the NLCD 2021 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-4tn2",
      "keyword": [
        "Satellite Imaging",
        "Urban growth",
        "Uncertainty",
        "Statistics"
      ],
      "contactPoint": {
        "fn": "Johnathan Kilaru",
        "hasEmail": "mailto:kilaru.vasu@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5066/P9JZ7AO3",
          "accessURL": "https://doi.org/10.5066/P9JZ7AO3",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-07-24",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Subchronic Toxicities of Four Per- and Polyfluoroalkyl Substances (PFASs) by Oral Exposure in Sprague–Dawley Rats",
      "description": "Study reports for \"Subchronic Toxicities of Four Per- and Polyfluoroalkyl Substances (PFASs) by Oral Exposure in Sprague–Dawley Rats\". \n\nThis dataset is associated with the following publication:\nKenyon, E., M. Devito, G. Patlewicz, L. Adams, R. Thomas, J. Ambroso, X. Yang, J. Blake, B. Upadhyay, J. Furr, and M. Hughes. Subchronic Toxicities of Four Per- and Polyfluoroalkyl Substances (PFASs) by Oral Exposure in Sprague–Dawley Rats.   Toxics. MDPI, Basel,  SWITZERLAND, 13(7): 524, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-fxq8",
      "keyword": [
        "PFAS",
        "Subchronic Oral Toxicity",
        "methyl heptafluoropropyl ketone"
      ],
      "contactPoint": {
        "fn": "Michael Devito",
        "hasEmail": "mailto:devito.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.23645/epacomptox.29171192",
          "accessURL": "https://doi.org/10.23645/epacomptox.29171192",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-22",
      "references": [
        "https://doi.org/10.3390/toxics13070524",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12298827"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Biofilm Dataset",
      "description": "The dataset includes the accession numbers to the RNA sequences and qPCR data for pathogens and validation of some important RNA sequences. \n\nThis dataset is associated with the following publication:\nLu, J., I. Struewing, and N. Ashbolt. Meta-Transcriptomic Response to Copper Corrosion in Drinking Water Biofilms.   Microorganisms. MDPI, Basel,  SWITZERLAND, 13(7): 1528, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532455",
      "keyword": [
        "microbial organism",
        "Biofilm",
        "tubing",
        "drinking water",
        "PVC",
        "transcriptomic analysis",
        "Copper"
      ],
      "contactPoint": {
        "fn": "Jingrang Lu",
        "hasEmail": "mailto:lu.jingrang@epa.gov"
      },
      "distribution": [
        {
          "title": "Biofilm_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532455/Biofilm_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-17",
      "references": [
        "https://doi.org/10.3390/microorganisms13071528",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12300335"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ data for Ann Arbor in support of Secondary Ammonium Nitrate Formation on Individual Residential Wood Burning Aerosol in Wintertime Urban Atmosphere",
      "description": "Predictions from the CMAQ model as used in EQUATES for Ann Arbor, Michigan in February and March 2016. Data was used in Andrew L. Holen, Kristen M. Foley, Havala O.T. Pye, Ryan D. Cook, Matthew J. Gunsch, Nathaniel W. May, Katheryn R. Kolesar, Siyuan Wang, Stephen M. McNamara, Kerri A. Pratt, Secondary Ammonium Nitrate Formation on Individual Residential Wood Burning Aerosol in the Wintertime Urban Atmosphere, submitted 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532500",
      "keyword": [
        "urban air quality",
        "single-particle",
        "particulate matter (PM)",
        "gas-to-particle partitioning",
        "CMAQ",
        "atmospheric chemistry"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.15139/S3/F2KJSK",
          "accessURL": "https://doi.org/10.15139/S3/F2KJSK",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANNARBOR_ACONC_v532_cb6r3_ae7_aq_WR413_MYR_STAGE_2016_12US1_03.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532500/ANNARBOR_ACONC_v532_cb6r3_ae7_aq_WR413_MYR_STAGE_2016_12US1_03.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANNARBOR_ACONC_v532_cb6r3_ae7_aq_WR413_MYR_STAGE_2016_12US1_02.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532500/ANNARBOR_ACONC_v532_cb6r3_ae7_aq_WR413_MYR_STAGE_2016_12US1_02.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-03-08",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Incorporation of RLINE into AERMOD",
      "description": "There are four studies used in this work: 1) Idaho Falls Roadway Study 2) Caltrans 99 Highway Study, 3) GM Sulfate Dispersion Experiment, and 4) the Berkeley Freeway Experiment.\nIn all cases, the data used from the studies consist of concentration measurements of Sulfur Hexafluoride (SF6) released as a tracer to simulate roadway emissions and meteorological measurements.\nComparisons are made to the various source formulations in AERMOD, the EPA’s preferred Gaussian dispersion model. This dataset is not publicly accessible because: This is non-EPA data. It can be accessed through the following means: 1) Idaho Falls Roadway Study. The data will be posted to https://www.epa.gov/scram in the future. In the meantime, contact Clint Tillerson (EPA) by email: tillerson.clint@epa.gov.\r\n2) Caltrans 99 Highway Study. The data is available in the CALINE4 manual (accessible here: https://www.weblakes.com/products/calroads/resources/docs/CALINE4.pdf).\r\n3) GM Sulfate Dispersion Experiment. The data will be posted to https://www.epa.gov/scram in the future. In the meantime, contact Clint Tillerson (EPA) by email: tillerson.clint@epa.gov.\r\n4) Berkeley Freeway Experiment. The data is available here: https://nap.nationalacademies.org/catalog/27183/assessing-air-pollution-dispersion-models-for-emissions-regulation. Format: The format of the data varies by study as described in the data dictionary. \n\nThis dataset is associated with the following publication:\nOwen, C., D. Heist, M. Snyder, R. Miller, L. Kent, M. Buechlein, and E. Carr. Incorporation of RLINE into AERMOD: An update and evaluation for mobile source applications.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 75(4): 304-321, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531138",
      "keyword": [
        "RLINE",
        "Roadways",
        "Dispersion",
        "Hot-spot",
        "AERMOD"
      ],
      "contactPoint": {
        "fn": "David Heist",
        "hasEmail": "mailto:heist.david@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-01",
      "references": [
        "https://doi.org/10.1080/10962247.2024.2447458",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12079658"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531138/documents/D-1898%20Data%20Dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "CRACMM Github Repo Update 2025 (October 2025)",
      "description": "This dataset contains a link to the public EPA CRACMM github repository and an update (zip file) that will be put into the repo.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-tdzv",
      "keyword": [
        "Ozone",
        "pm2.5",
        "CRACMM",
        "hazardous air pollutants",
        "chemistry"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CRACMM",
          "accessURL": "https://github.com/USEPA/CRACMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CRACMM_20251014update.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-tdzv/CRACMM_20251014update.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-14",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ScienceHub entry for journal article: Improved Simulation of Particle Number Concentrations Over the US: Integrating a Size-Resolved Advanced Particle Microphysics Model Into CMAQ",
      "description": "Dataset for journal article, Improved Simulation of Particle Number Concentrations Over the US: Integrating a Size-Resolved Advanced Particle Microphysics Model Into CMAQ. Observed aerosol number concentrations, particle size distributions, and CCN are available via F. Yu, Luo, et al. (2020), Marinescu et al. (2019), and Perkins et al. (2022). Part of data of particle size distributions and number concentrations were accessed at https://ebas-data.nilu.no/Default.aspx and https://csl.noaa.gov/groups/csl7/measurements/2013senex/. Figures were plotted using MATLAB R2023b and NCAR Command Language (NCL) version 6.3.0. MATLAB is available under its license at https://www.mathworks.com/products/matlab.html and NCL can be accessed under its license at https://www.ncl.ucar.edu/. This dataset is not publicly accessible because: Lead is outside of EPA and only EPA author is no longer with the Agency. It can be accessed through the following means: Contact the corresponding author of the journal article, Dr. Fangqun Yu, fyu@albany.edu. Format: Dataset details not available. \n\nThis dataset is associated with the following publication:\nMao, J., F. Yu, B. Murphy, J. An, Y. Zhang, G. Luo, S. Lin, and A.G. Hallar. Improved Simulation of Particle Number Concentrations Over the US: Integrating a Size-Resolved Advanced Particle Microphysics Model Into CMAQ.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 130(16): e2025JD044021, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532475",
      "keyword": [
        "atmospheric aerosols"
      ],
      "contactPoint": {
        "fn": "Robert Pinder",
        "hasEmail": "mailto:pinder.robert@epa.gov"
      },
      "distribution": [],
      "modified": "2025-08-13",
      "references": [
        "https://doi.org/10.1029/2025jd044021"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics",
      "description": "Supplementary data for \"Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics\". \n\nThis dataset is associated with the following publication:\nVilleneuve, D., M. Nash, A. Biales, K. Bush, G. Evensen, L. Everett, J. Haselman, M. Hazemi, M. Le, H. Poynton, B. Seligmann   , L. Wehmas, J. Yeakley, and K. Flynn. Comparison of whole transcriptome and targeted RNA sequencing for ecological high-throughput transcriptomics.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 162: 105898, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-t4c4",
      "keyword": [
        "high-throughput transcriptomics",
        "federal prize competition",
        "New Approach Methods",
        "ecotoxicology",
        "computational toxicology"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/6840b9e5e4b096bca883eb50",
          "accessURL": "https://clowder.edap-cluster.com/datasets/6840b9e5e4b096bca883eb50",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S027323002500128X-mmc2.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t4c4/1-s2.0-S027323002500128X-mmc2.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S027323002500128X-mmc1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t4c4/1-s2.0-S027323002500128X-mmc1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-27",
      "references": [
        "https://doi.org/10.1016/j.yrtph.2025.105898"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ model data provided by EPA/ORD researchers for Kioutsioukis et al. (2025) paper.",
      "description": "This dataset contains the EPA-generated CMAQ model data contributed to support the externally-led analysis in the manuscript \"Operational, Diagnostic and Probabilistic Evaluation of AQMEII-4 Regional Scale Ozone Dry deposition. Time to Harmonise Our LULC Masks\". \n\nThis dataset is associated with the following publication:\nKioutsioukis, I., C. Hogrefe, P. Makar, U. Alyuz, J. Bash, R. Bellasio, R. Bianconi, T. Butler, O. Clifton, P. Cheung, A. Hodzic, R. Kranenburg, A. Lupascu, K. Momoh, J.L. Perez-Camaño, J. Pleim, Y. Ryu, R. San Jose, D. Schwede, R. Sokhi, and S. Galmarini. Operational, diagnostic, and probabilistic evaluation of AQMEII-4 regional-scale ozone dry deposition: time to harmonize our LULC masks.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 25(20): 12923–12953, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532414",
      "keyword": [
        "aqmeii4",
        "Probabilistic Evaluation",
        "ozone deposition",
        "Ensemble Analysis",
        "Land Use Classification"
      ],
      "contactPoint": {
        "fn": "Christian Hogrefe",
        "hasEmail": "mailto:hogrefe.christian@epa.gov"
      },
      "distribution": [
        {
          "title": "CMAQ_Data_KioutsioukisEtAl_HourlyReceptors_MonthlyDiagnostics_Landuse.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532414/CMAQ_Data_KioutsioukisEtAl_HourlyReceptors_MonthlyDiagnostics_Landuse.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-08",
      "references": [
        "https://doi.org/10.5194/acp-25-12923-2025"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532414/documents/DataDictionary_KioutsioukisEtAl.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Anatoxin levels in mouse tissues after a single exposure and collected at various timepoints",
      "description": "Anatoxin levels in mouse tissues after a single exposure and collected at various timepoints",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532296",
      "keyword": [
        "MICE",
        "pharmacokinetics",
        "anatoxin",
        "harmful algal bloom"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "TK Data Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532296/TK%20Data%20Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "TK data for STICS September 2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532296/TK%20data%20for%20STICS%20September%202025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-19",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/1532296/documents/TK%20Data%20Dictionary.docx"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-78.8737 35.8821, -78.8736 35.8821, -78.8736 35.8822, -78.8737 35.8822, -78.8737 35.8821))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Evaluations in support of the development of aquatic life criteria for major geochemical ions",
      "description": "This dataset provides data files and software regarding the report \"EVALUATIONS IN SUPPORT OF THE DEVELOPMENT OF AQUATIC LIFE CRITERIA FOR MAJOR GEOCHEMICAL IONS: TOTAL ION TOXICITY VERSUS CALCIUM FOR SEVERAL AQUATIC SPECIES\".  This includes eight excel files containing data on multiple tests (of different salts, salt mixtures, and test conditions) regarding the acute toxicity of major geochemical ions to eight aquatic species.  These data provide the chemistry of test solutions at median lethal conditions in these tests and were used in subsequent analyses described in the report to derive the relationships for total ion toxicity versus calcium concentration for these eight species (for subsequent use in criteria development).  A Word file describing these files is provided, and additional files regarding the analyses are archived and subject to request.  The dataset also provides two zip files containing software used in these analyses, including software for determining concentration-response curves (to quality assure author-reported LC50s during report preparation) and the software for establishing the total ion toxicity vs calcium relationships.  Each zip file contains an executable file and the Fortran code used to build these executables for code review as desired, but are not recompilable into a new executables without Winteracter (a Fortran-based user interface development application). \n\nThis dataset is associated with the following publication:\nErickson, R. Evaluations in support of the development of aquatic life criteria for major geochemical ions:  Total ion toxicity versus calcium for several aquatic species. U.S. Environmental Protection Agency, Washington, DC, USA, 2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-qjqt",
      "keyword": [
        "aquatic toxicology",
        "aquatic life criteria",
        "geochemical ions",
        "aggregate ion toxicity"
      ],
      "contactPoint": {
        "fn": "Russell Erickson",
        "hasEmail": "mailto:erickson.russell@epa.gov"
      },
      "distribution": [
        {
          "title": "OWCriterionConcRespSoftware.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/OWCriterionConcRespSoftware.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "OWCriteria_TotIonVsCaSoftware.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/OWCriteria_TotIonVsCaSoftware.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Neocloeon_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Neocloeon_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lymnaea_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Lymnaea_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lumbriculus_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Lumbriculus_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Lampsilis_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Lampsilis_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hyalella_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Hyalella_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Fathead_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Fathead_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Chironomus_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Chironomus_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Ceriodaphnia_TotIonVsCa_MasterData.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/Ceriodaphnia_TotIonVsCa_MasterData.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DataFileDictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/DataFileDictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-12",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/documents/OWCriteria_TotIonVsCaSoftware.zip",
        "https://pasteur.epa.gov/uploads/10.23719/d-qjqt/documents/OWCriterionConcRespSoftware.zip"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Implications for modeling anion exchange treatment of perfluoroalkyl substances in drinking water and related natural organic impacts: a pilot study",
      "description": "Data from manuscript entitled: \"Implications for modeling anion exchange treatment of perfluoroalkyl substances in drinking water and related natural organic impacts: a pilot study\". \n\nThis dataset is associated with the following publication:\nSmith, S., D. Wahman, E. Kleiner, B. Gray, T. Sanan, E. Stebel, C. Gastaldo, E. Hughes, S. Pedigo, B. Datsov, M. Lathrop-Allen, I. Bass, J. Quinn, G. Abulikemu, J. Pressman, G. Sorial, and L. Haupert. Implications for modeling anion exchange treatment of perfluoroalkyl substances in drinking water and related natural organic impacts: a \npilot study.   WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 288: 124685, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532427",
      "keyword": [
        "anion exchange",
        "homogeneous surface diffusion model",
        "PFAS",
        "pilot-scale columns",
        "ion exchange column model",
        "natural organic matter"
      ],
      "contactPoint": {
        "fn": "Samantha Smith",
        "hasEmail": "mailto:smith.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "Smith_SciHub_AEX_gel_columns_pilots (July 2025).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532427/Smith_SciHub_AEX_gel_columns_pilots%20%28July%202025%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-21",
      "references": [
        "https://doi.org/10.1016/j.watres.2025.124685"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Caged and resident fish, Newton Creek, Superior WI, 2017",
      "description": "In 2017 the Wisconsin DNR reported observation of a high incidence of fish with fin erosion in Newton Creek, which originates near the site of the Calumet (later Husky) oil refinery and flows approximately 2 miles through the city of Superior, WI, before discharging at the Hog Island Inlet of the Superior Bay. In fall 2017, the United States Environmental Protection Agency’s (US EPA) Office of Research and Development (ORD), Mid-Continent Ecology Division (now Great Lakes Toxicology and Ecology Division; GLTED) conducted several studies (two caged fish exposures and one resident fish collection) aimed at elucidating potential causes of the fin erosion phenotype reported. These studies were conducted in coordination and cooperation with both the Wisconsin DNR and Calumet/Husky refinery. \n\nResults include:\n1) Morphological data for fathead minnows caged in Newton Creek or Faxon Creek (reference) from September 27-October 11, 2017 (pilot study).\n2) Morphological data for resident fish collected from Newton Creek and Faxon Creek on October 12, 2017 (resident fish collection)\n3) Morphological data for fathead minnows caged in Newton Creek or Faxon Creek from October 16-30, 2017 (2nd study), along with analytical data on metals, PAHs, selected ions, suspended solids, nutrients, and in vitro bioactivity for composite water samples collected at the same locations and over the same time period.\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532063",
      "keyword": [
        "Adverse Outcome Pathways (AOPs)",
        "bioactivity",
        "aquatic toxicity",
        "New Approach Methods (Alternatives to Animal Testing)",
        "Water monitoring"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Newton Creek Oct 2017 Caged FHM study 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532063/Newton%20Creek%20Oct%202017%20Caged%20FHM%20study%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Newton Creek 2017 Resident Fish Collection 10-12-17.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532063/Newton%20Creek%202017%20Resident%20Fish%20Collection%2010-12-17.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Newton Creek Pilot study 09-27 to 10-11-2017_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532063/Newton%20Creek%20Pilot%20study%2009-27%20to%2010-11-2017_Data.xlsx",
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      "references": null,
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        "name": "U.S. EPA Office of Research and Development (ORD)",
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            "subOrganizationOf": [
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                "name": "U.S. Government"
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    },
    {
      "title": "Ion Exchange, Batch Kinetics Studies Using Centrifugal Stirrer Devices, Nitrate Dataset (Oct 2024)",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531793",
      "keyword": [
        "homogeneous surface diffusion model",
        "Mass Transfer",
        "ion exchange",
        "nitrate",
        "kinetics"
      ],
      "contactPoint": {
        "fn": "Samantha Smith",
        "hasEmail": "mailto:smith.samantha@epa.gov"
      },
      "distribution": [
        {
          "title": "Smith_SciHub_AEX-NO3-Stirrers (Oct 2024).xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531793/Smith_SciHub_AEX-NO3-Stirrers%20%28Oct%202024%29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": [
        "https://doi.org/10.1002/aws2.70042"
      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
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                "name": "U.S. Government"
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    },
    {
      "title": "A comparative study of biostatistical pipelines for benchmark concentration modeling of in vitro screening assays",
      "description": "Supplementary data for \"A comparative study of biostatistical pipelines for benchmark concentration modeling of in vitro screening assays\". \n\nThis dataset is associated with the following publication:\nCarstens, K., A. Donmez, J. Hsieh, K. Bartmann , K. Friedman, K. Koch , M. Scholze, and E. Fritsche. A comparative study of biostatistical pipelines for benchmark concentration modeling of in vitro screening assays.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 34: 100360, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-wdcp",
      "keyword": [
        "New Approach Methods (Alternatives to Animal Testing)",
        "modeling",
        "computational toxicology",
        "developmental neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Kelly Carstens",
        "hasEmail": "mailto:carstens.kelly@epa.gov"
      },
      "distribution": [
        {
          "title": "https://crstats.github.io",
          "accessURL": "https://crstats.github.io",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/moggces/Rcurvep/blob/master/R/tcplfit_hillbase.R",
          "accessURL": "https://github.com/moggces/Rcurvep/blob/master/R/tcplfit_hillbase.R",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CompTox-BMC-pipeline-compare",
          "accessURL": "https://github.com/USEPA/CompTox-BMC-pipeline-compare",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S2468111325000209-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wdcp/1-s2.0-S2468111325000209-mmc1.docx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wdcp/1-s2.0-S2468111325000209-mmc5.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "1-s2.0-S2468111325000209-mmc4.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wdcp/1-s2.0-S2468111325000209-mmc4.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wdcp/1-s2.0-S2468111325000209-mmc3.pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "1-s2.0-S2468111325000209-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wdcp/1-s2.0-S2468111325000209-mmc2.xlsx",
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        }
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      "references": [
        "https://doi.org/10.1016/j.comtox.2025.100360",
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      ],
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        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
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            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
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    {
      "title": "Range maps and waterbody occupancy data for 1158 freshwater macroinvertebrate genera in the contiguous USA",
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      ],
      "identifier": "https://doi.org/10.23719/1531774",
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        "range maps",
        "macroinvertebrate genera",
        "contiguous USA",
        "National Aquatic Resource Surveys"
      ],
      "contactPoint": {
        "fn": "Samantha Rumschlag",
        "hasEmail": "mailto:rumschlag.samantha@epa.gov"
      },
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        {
          "title": "https://doi.org/10.6084/m9.figshare.25517416",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "https://doi.org/10.6084/m9.figshare.25517437",
          "accessURL": "https://doi.org/10.6084/m9.figshare.25517437",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.25517455",
          "accessURL": "https://doi.org/10.6084/m9.figshare.25517455",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.25517470",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.25517494",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "https://doi.org/10.6084/m9.figshare.25517482",
          "accessURL": "https://doi.org/10.6084/m9.figshare.25517482",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.6084/m9.figshare.25517485",
          "accessURL": "https://doi.org/10.6084/m9.figshare.25517485",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/web/packages/sp/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/sp/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/web/packages/sf/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/sf/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://cran.r-project.org/web/packages/raster/index.html",
          "accessURL": "https://cran.r-project.org/web/packages/raster/index.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "references": [
        "https://doi.org/10.1038/s41597-024-03845-5",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11393311"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Balancing human health protection with sustainable design in water reuse: how do log reduction targets affect system cost and environmental impacts?",
      "description": "The updates to the NEWR model are developed and used to evaluate the impacts of different Log Reduction Targets (LRTs) on system cost and various environmental impacts in implementing non-potable water reuse systems. \n\nThis dataset is associated with the following publication:\nArden, S., K. McGaughy , B. Morelli, M. Jahne, X.C. Ma, and J. Garland. Balancing human health protection with sustainable design in water reuse: how do log reduction targets affect system cost and environmental impacts?.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 12(11): 1510-1515, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532252",
      "keyword": [
        "LCA",
        "log reduction targets",
        "QMRA",
        "LCC",
        "Onsite non-potable reuse"
      ],
      "contactPoint": {
        "fn": "Xin Ma",
        "hasEmail": "mailto:ma.cissy@epa.gov"
      },
      "distribution": [
        {
          "title": "Tables_LRT v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532252/Tables_LRT%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NEWR Results_LRTs_Figure 2 v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532252/NEWR%20Results_LRTs_Figure%202%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NEWR Results_LRTs_Figure 1 v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532252/NEWR%20Results_LRTs_Figure%201%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NEWR Results_LRTs_Figure SI2 v2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532252/NEWR%20Results_LRTs_Figure%20SI2%20v2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-01",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c00511"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Using Wearable Sensors to Predict Risk of Heat-Related Injuries for Individuals Wearing Personal Data Version 1",
      "description": "These data describe were derived from a study that evaluated the use of wearable sensors for monitoring the real-time health of individuals wearing PPE to mitigate risk of developing an HRI and enable timely intervention. \n\nThis dataset is associated with the following publication:\nHegarty-Craver, M., D. Womack, J. Thornburg, T. Boe, M.J. Archer, and W. Calfee. Predicting Risk of Heat-Related Injuries for Individuals Wearing Personal Protective Equipment Using Smartwatches: Feasibility Observational Study.   JMIR Formative Research. JMIR Publications, Toronto,  CANADA, 9: e72324, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529134",
      "keyword": [
        "Wearable",
        "smart watch",
        "Heat illness"
      ],
      "contactPoint": {
        "fn": "Timothy Boe",
        "hasEmail": "mailto:boe.timothy@epa.gov"
      },
      "distribution": [
        {
          "title": "EPA_WearablesPaper_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529134/EPA_WearablesPaper_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-06-13",
      "references": [
        "https://doi.org/10.2196/72324",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12533933"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Seasonal PM exposure and respiratory viral infection",
      "description": "This dataset provides information on how differences in chemical composition of PM across seasons contribute to different biological effects and modify antiviral host defense response in airway epithelium.  The findings indicate that chemical differences in seasonal PM from the winter, spring, and fall coinciding with influenza season, likely contribute to the adjuvant pro-inflammatory effects of exposure on antiviral host response, suggesting that heightened inflammation early in infection could contribute to worsened pathogenesis. \n\nThis dataset is associated with the following publication:\nBrocke, S., T. Smyth, H. Dang, A. Speen, Y.H. Kim, C. Christianson, K. Kovalcik, J. Pancras, M. Hays, Z. An, W. Wu, and i. jaspers. Seasonal PM2.5 exposures induce differential responses to influenza A virus infection in primary human airway epithelial cells.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 22: 28, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532336",
      "keyword": [
        "Influenza",
        "inflammation",
        "in vitro",
        "particulate matter (PM)"
      ],
      "contactPoint": {
        "fn": "Yong Ho Kim",
        "hasEmail": "mailto:kim.yongho@epa.gov"
      },
      "distribution": [
        {
          "title": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi%3A10.15139%2FS3%2FCL8CK9&version=DRAFT",
          "accessURL": "https://dataverse.unc.edu/dataset.xhtml?persistentId=doi%3A10.15139%2FS3%2FCL8CK9&version=DRAFT",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-07-18",
      "references": [
        "https://doi.org/10.1186/s12989-025-00643-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12570438"
      ],
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset of title/abstract screening tags for nature-based solutions and health literature",
      "description": "Title/abstract screening tags for nature-based solutions and health literature published 2000-2023.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-8gv1",
      "keyword": [
        "human health",
        "air quality",
        "Green Infrastructure",
        "Urban Watersheds"
      ],
      "contactPoint": {
        "fn": "Caroline Ridley",
        "hasEmail": "mailto:ridley.caroline@epa.gov"
      },
      "distribution": [
        {
          "title": "FINAL_Pivot_Table_and_Data_NbS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8gv1/FINAL_Pivot_Table_and_Data_NbS.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. EPA Office of Research and Development (ORD)",
        "subOrganizationOf": [
          {
            "name": "U.S. Environmental Protection Agency",
            "subOrganizationOf": [
              {
                "name": "U.S. Government"
              }
            ]
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Next Generation National Nutrient Inventory for Nitrogen and Phosphorus (1987 to 2017)",
      "description": "The United States Environmental Protection Agency’s National Nutrient Inventory provides estimates of major agricultural, urban, atmospheric, and natural nutrient fluxes for the contiguous US at county and HUC12 scales from 1987 (from 1950 for agriculture) to 2017. We recommend using the attached HUC12 shapefiles which correspond with the HUC12 datasets provided. Portions of this dataset are inaccessible because: NA. They can be accessed through the following means: NA. Format: NA",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532436",
      "keyword": [
        "urban",
        "air pollution",
        "wastewater",
        "nitrogen",
        "phosphorus",
        "Agriculture",
        "atmospheric deposition"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "DataDictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532436/DataDictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CountyNNIkgsqkm.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532436/CountyNNIkgsqkm.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CountyNNIkg.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532436/CountyNNIkg.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HUC12NNIkgsqkm.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532436/HUC12NNIkgsqkm.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HUC12NNIkg.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532436/HUC12NNIkg.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "title": "Diatom rbcL metabarcoding data for freezing and storage duration study",
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      "identifier": "https://doi.org/10.23719/1532345",
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        "streams",
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        "fn": "Nathan Smucker",
        "hasEmail": "mailto:smucker.nathan@epa.gov"
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      "distribution": [
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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                "name": "U.S. Government"
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    {
      "title": "Metadata: A case-crossover analysis of short-term PM2.5 exposure and COVID19-related hospitalizations in the National COVID Cohort Collaborative",
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    {
      "title": "The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) Version 2: A 3D Physics-Based Dataset for Projections of Future Extreme Weather Events",
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        "fn": "Megan Mallard",
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    {
      "title": "Bridging in vitro and in vivo inhalation toxicity: Volatile organic compounds elicit similar transcriptomic points of departure in human airway cells and mouse respiratory tract",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532482/8_Supp%20Table%20S7%20Figures%20S1-S6%20httk%20model%2Bin%20vitro%20calculations.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
        "https://doi.org/10.1016/j.envpol.2025.127342"
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        "name": "U.S. Environmental Protection Agency",
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    {
      "title": "Immunotoxicity of four per- and polyfluoroalkyl substances following 28-day oral repeat dosing in rats assessed by the anti-sheep red blood cell IgM response",
      "description": "N/A. \n\nThis dataset is associated with the following publication:\nHughes, M., M. Devito, G. Patlewicz, R. Thomas, L. Adams, J. Ambroso, X. Yang, B. Upadhyay, S. Burleson, and E. Kenyon. Immunotoxicity of Four Per- and Polyfluoroalkyl Substances Following 28-Day Oral Repeat Dosing in Rats Assessed by the Anti-Sheep Red Blood Cell IgM Response.   Toxics. MDPI, Basel,  SWITZERLAND, 13(6): 490, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532284",
      "keyword": [
        "T cell-dependent antibody response",
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        "oral",
        "Repeat dose",
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        "IgM"
      ],
      "contactPoint": {
        "fn": "Michael Hughes",
        "hasEmail": "mailto:hughes.michaelf@epa.gov"
      },
      "distribution": [
        {
          "title": "Data for Immunotoxicity of 4 PFAS following 28 day exposure in rats.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532284/Data%20for%20Immunotoxicity%20of%204%20PFAS%20following%2028%20day%20exposure%20in%20rats.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": [
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      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
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        ]
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      "accessRights": "public"
    },
    {
      "title": "EcoToxChip provides insights into pathway perturbation upon chlorantraniliprole exposure to larval fathead minnow",
      "description": "Supplemental materials for \"EcoToxChip provides insights into pathway perturbation upon chlorantraniliprole exposure to larval fathead minnow\". \n\nThis dataset is associated with the following publication:\nBrickley, M., J. Collins, J. Cavallin, D. Villeneuve, and C. LaLone. EcoToxChip provides insights into pathway perturbation upon chlorantraniliprole exposure to larval fathead minnow.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 286: 107429, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
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      "identifier": "https://doi.org/10.23719/d-z35s",
      "keyword": [
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        "new approach methodologies",
        "EcoToxChip",
        "diamide insecticide",
        "ryanodine receptors"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "1-s2.0-S0166445X25001948-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z35s/1-s2.0-S0166445X25001948-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "ScienceHub File_EcoToxChip Manuscript.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z35s/ScienceHub%20File_EcoToxChip%20Manuscript.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2025-05-26",
      "references": [
        "https://doi.org/10.1016/j.aquatox.2025.107429"
      ],
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        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for evaluating the impacts of brick-kiln emissions on fine particles ",
      "description": "Dataset for evaluating the impacts of brick-kiln emissions on fine particles. \n\nThis dataset is associated with the following publication:\nSarwar, G., F. Sidi, B. Henderson, C. Hogrefe, B. Murphy, R. Mathur, D. Kang, G. Pouliot, K. Talgo, S. Ahmed, A. Sharma, and C. Venkataraman. Evaluating the impacts of brick-kiln emissions on fine particles.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 363: 121597, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-v42j",
      "keyword": [
        "fine particles",
        "SOA",
        "brick kiln",
        "CMAQ",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [
        {
          "title": "README.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/README.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_11.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_11.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_9.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_9.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_8.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_8.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_7.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_7.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_5.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_5.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_3.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_3.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_2.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_2.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_1.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_1.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_10b_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_10b_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Figure_10a_data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v42j/Figure_10a_data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-18",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2025.121597"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks",
      "description": "Supplementary materials for \"ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks\". \n\nThis dataset is associated with the following publication:\nZurek-Ost, M., K. Phillips, A. Williams, A. Edelman-Munoz, N. Charest, S. Handa, and K. Isaacs. ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 979(1): 179465, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-6wx4",
      "keyword": [
        "Children's Environmental Health",
        "Exposure modeling",
        "network analysis",
        "Exposure pathways",
        "ExpoCast",
        "chemical co-occurrence"
      ],
      "contactPoint": {
        "fn": "Michael Zurek-Ost",
        "hasEmail": "mailto:zurekost.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/HumanExposure/ExpoPath",
          "accessURL": "https://github.com/HumanExposure/ExpoPath",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0048969725011027-mmc2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6wx4/1-s2.0-S0048969725011027-mmc2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1-s2.0-S0048969725011027-mmc1.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6wx4/1-s2.0-S0048969725011027-mmc1.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-29",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.179465"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Site cluster information for journal article \"Classifying Metal Soil Concentrations with Bayesian Networks: Urban Background in the Southeastern United States\"",
      "description": "This dataset contains the site clusters identified from a Bayesian network analysis with data clustering. Original data used for identifying clusters came from the Region 4 urban background study located at https://www.epa.gov/risk/regional-urban-background-study. \n\nThis dataset is associated with the following publication:\nCarriger, J.F., R.G. Ford, T. Frederick, S. Chan, and Y. Fung. Classifying Metal Soil Concentrations with Bayesian Networks: Urban Background in the Southeastern United States.   ENVIRONMENTAL MODELING AND ASSESSMENT. Baltzer Science Publishers BV, Bussum,  NETHERLANDS, 30: 981-998, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531654",
      "keyword": [
        "Bayesian networks",
        "clustering",
        "metals",
        "Urban background",
        "Soils"
      ],
      "contactPoint": {
        "fn": "Teri Richardson",
        "hasEmail": "mailto:richardson.teri@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/risk/regional-urban-background-study",
          "accessURL": "https://www.epa.gov/risk/regional-urban-background-study",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BNClusterSEUrbBackground-ScienceHub1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531654/BNClusterSEUrbBackground-ScienceHub1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-07-15",
      "references": [
        "https://doi.org/10.1007/s10666-025-10037-x"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "ANL PFAS Sensor",
      "description": "Results for PFOS analysis with detailed methods. \n\nThis dataset is associated with the following publication:\nWang, Y., H. Jang, M. Topel, S. Dasetty, Y. Liu, M. Ateia, A. Tam, V. Rozyyev, E. Ouyang, W. Zhuang, H. Pu, S.S. Lee, X. Sui, J.W. Elam, A.L. Ferguson, S.B. Darling, and J. Chen. Reversible parts-per-trillion-level detection of perfluorooctane sulfonic acid in tap water using field-effect transistor sensors.   Nature Water. Nature Portfolio, Berlin,  GERMANY, 3: 1187-1197, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531886",
      "keyword": [
        "sensor",
        "analysis",
        "drinking water",
        "PFOS",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Mohamed Ibrahim",
        "hasEmail": "mailto:ibrahim.mohamed@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOS Analysis_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531886/PFOS%20Analysis_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-13",
      "references": [
        "https://doi.org/10.1038/s44221-025-00505-9"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Towards an integrated theory of body size distributions, life history and functional traits, and environmental flows in freshwater ecosystems.",
      "description": "Efforts to quantify and explain individual size distributions (ISD) are prominent in ecological research and potentially for applications to management which increasingly consider ecosystem-scale objectives. We use a nation-wide database of individual size measurements for United States stream fishes paired with species’ traits and test for direct and indirect effects of traits, flow, and land use on the slope of the interspecific ISD. Modeling results show that traits have strong, direct effects on ISD whereas flow and land use primarily indirectly affect ISD via mediation by functional traits. ISDs flatten (i.e., greater abundances of larger-bodied individuals) when environmental conditions favor higher trophic levels, thermal tolerances, and periodic life histories, but steepen (i.e., greater abundances of smaller-bodied individuals) when environments benefit opportunistic life histories. Our framework that incorporates direct and indirect of traits, flow alteration, and land-use on ISD could be expanded to incorporate additional variables that interact with flow regimes (e.g., temperature, physical habitat) to understand and predict how multiple environmental stressors affect ecosystem functions. \n\nThis dataset is associated with the following publication:\nWoods, T., D. McGarvey, M. Cashman, M. Meador, D. Carlisle, K. Eng, D. Kopp, and K. Maloney. Integrating theory and empirical patterns: Fish body size distributions, life history traits, and environmental flows in streams.   Science Advances. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 11(51): eadu4026, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532402",
      "keyword": [
        "Environemntal Flows",
        "Individual Size Distributions",
        "Traits",
        "streams and rivers",
        "Fish Assemblages"
      ],
      "contactPoint": {
        "fn": "Darin Kopp",
        "hasEmail": "mailto:kopp.darin@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencebase.gov/catalog/item/67d17d42d34ecfe34cc883c9",
          "accessURL": "https://www.sciencebase.gov/catalog/item/67d17d42d34ecfe34cc883c9",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-14",
      "references": [
        "https://doi.org/10.1126/sciadv.adu4026",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12716417"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Withstanding megafires: Fishes thrive and amphibians persist in severely burned watersheds",
      "description": "Data on invertebrate assemblages from thirty sites in western Oregon sampled post-wildfire. \n\nThis dataset is associated with the following publication:\nSwartz, A., A. Coble, B. Penaluna, R. Flitcroft, J. Ebersole, and M. Krawchuk. Following megafires fishes thrive and amphibians persist even in severely burned watersheds.   Communications Earth & Environment. Springer Nature, LONDON,  UK, 6: 945, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531910",
      "keyword": [
        "Wildland Fire",
        "aquatic ecology",
        "forestry",
        "fish",
        "amphibians"
      ],
      "contactPoint": {
        "fn": "Joseph Ebersole",
        "hasEmail": "mailto:ebersole.joe@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ir.library.oregonstate.edu/concern/datasets/rx914027s",
          "accessURL": "https://ir.library.oregonstate.edu/concern/datasets/rx914027s",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-07",
      "references": [
        "https://doi.org/10.1038/s43247-025-02893-y"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.6028 44.1239, -122.059 44.1239, -122.059 45.0898, -122.6028 45.0898, -122.6028 44.1239))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Sleep_BP_EucalyptusSmoke_All Data File_4-24-2025",
      "description": "The attached excel file contains all the raw values used to generate the means and standard deviations/errors in all tables and figures in the manuscript. \n\nThis dataset is associated with the following publication:\nRentschler, K., W.K. Martin, W. Oshiro, M. Schladweiler, T. Jackson, W. Cascio, U. Kodavanti, P. Evansky, C. Lambright, R. Strader, J. Conley, W. Williams, D. Freeborn, C. Miller, R. Grindstaff, M. Monsees, A. Lewis, D. Herr, P.R. Kodavanti, M. Hazari, and A. Farraj. Sleep disruption from inhalation of biomass smoke: a basis for coincident hypertension?.   Particle and Fibre Toxicology. BioMed Central Ltd, London,  UK, 22: 34, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532232",
      "keyword": [
        "Wildfire smoke",
        "air pollution",
        "cardiovascular",
        "health",
        "sleep",
        "blood pressure",
        "Male",
        "Female"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Rentschler et al_Sleep BP_All Data file_6-30-2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532232/Rentschler%20et%20al_Sleep%20BP_All%20Data%20file_6-30-2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-24",
      "references": [
        "https://doi.org/10.1186/s12989-025-00650-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12696922"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Wildfire Smoke and Your Patients Health Posttest and Course Evaluation Dataset",
      "description": "Posttest and course evaluation data obtained by users that completed and received continuing education credit for the Wildfire Smoke and Your Patients' Health webcourse. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: CDC’s Training and Continuing Education Online (TCEO) program in the National Center for State, Tribal, Local, and Territorial Public Health Infrastructure and Workforce. Format: Completing the course led to users obtaining continuing education credits. Therefore, in addition to registration information allowing for them to receive credit, all users provided required information about their geographic location (city, state, and zip code), educational attainment, and type of continuing education credit to be received. \n\nThis dataset is associated with the following publication:\nDowling, T.C., S.L. Stone, W.E. Cascio, S.A. Damon, M.R. Hutson, J.D. Sacks, and M.C. Mirabelli. Assessment of a Continuing Education Course about Wildfire Smoke and Patient Health.   ATS Scholar. American Thoracic Society, New York, NY, USA, 6(4): 442-447, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531911",
      "keyword": [
        "Wildfire smoke"
      ],
      "contactPoint": {
        "fn": "Jason Sacks",
        "hasEmail": "mailto:sacks.jason@epa.gov"
      },
      "distribution": [],
      "modified": "2024-12-04",
      "references": [
        "https://doi.org/10.34197/ats-scholar.2024-0152br"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "PISCES-Oxylipins",
      "description": "Plasma oxylipins concentrations in subjects who had either high or low omega-3 fatty acids intake. \n\nThis dataset is associated with the following publication:\nChen, H., S. Zhang, X. Pan, A. Schneider, D. Diazsanchez, J. Samet, and H. Tong. Omega-3 Fatty Acid Intake and Oxylipin Production in Response to Short-Term Ambient Air Pollution Exposure in Healthy Adults.   Toxics. MDPI, Basel,  SWITZERLAND, 13(12): 1063, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532189",
      "keyword": [
        "PISCES"
      ],
      "contactPoint": {
        "fn": "Haiyan Tong",
        "hasEmail": "mailto:tong.haiyan@epa.gov"
      },
      "distribution": [
        {
          "title": "PISCES SPM-Tong EPA Plasma Report -4-27-2022.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532189/PISCES%20SPM-Tong%20EPA%20Plasma%20Report%20-4-27-2022.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-22",
      "references": [
        "https://doi.org/10.3390/toxics13121063",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12737357"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "sensor paper data",
      "description": "Summary of rain event date, rainfall depth, and volumetric water content. \n\nThis dataset is associated with the following publication:\nNissen, K., M. Borst, and E. Fassman-Beck. Bioretention Flow-Through Planter Performance and Design Considerations.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 12(2): 04025018, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1528764",
      "keyword": [
        "Stormwater control measure",
        "stormwater",
        "Stormwater Planter",
        "best managment practice"
      ],
      "contactPoint": {
        "fn": "Michael Borst",
        "hasEmail": "mailto:borst.mike@epa.gov"
      },
      "distribution": [
        {
          "title": "SensorPaperdata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528764/SensorPaperdata.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-04-11",
      "references": [
        "https://doi.org/10.1061/jswbay.sweng-582"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for changes in L.A. aerosols resulting from reductions in on-road vehicle emissions of NOx and VOCs",
      "description": "This data set contains a link to the VCPy model github repository containing data used in the manuscript by Schulz et al., ACS ES&T Air, 2025 (https://doi.org/10.1021/acsestair.5c00199).",
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      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1527772",
      "keyword": [
        "volatile chemical products (VCPs)",
        "pm2.5",
        "SOA",
        "ammonium nitrate"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/vcpy",
          "accessURL": "https://github.com/USEPA/vcpy",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-01-08",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sampling and Analysis of Antimicrobial Resistant Bacteria in Surface Water Samples Collected in the East Fork Watershed in Southwest Ohio Dataset",
      "description": "Dataset for a year long watershed study in southwestern Ohio to analyze antimicrobial resistant bacteria (E. coli, Enterococcus, and Salmonella) in surface waters and wastewater treatment plant effluent. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-1g1w",
      "keyword": [
        "antimicrobial resistance",
        "Ambient Surface Water",
        "enterococcus",
        "E. coli",
        "Salmonella",
        "Environmental/recreational water",
        "East Fork Little Miami River watershed data"
      ],
      "contactPoint": {
        "fn": "Alison Franklin",
        "hasEmail": "mailto:franklin.alison@epa.gov"
      },
      "distribution": [
        {
          "title": "Watershed Study_E.coli_Entero_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/Watershed%20Study_E.coli_Entero_Final.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Salmonella_Data_Watershed_Study.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/Salmonella_Data_Watershed_Study.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NARMS-EPA surface water_MASTER_WGS_Data_Salmonella_NARMS.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS-EPA%20surface%20water_MASTER_WGS_Data_Salmonella_NARMS.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS-EPA%20surface%20water_MASTER_WGS_Data_Enterococcus_NARMS.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS-EPA%20surface%20water_MASTER_WGS_Data_E.coli_NARMS.xlsx",
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        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS_EFLMR_Sonde_Master.xlsx",
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        },
        {
          "title": "NARMS_EFLMR_NutrientData_SiteMetadata.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS_EFLMR_NutrientData_SiteMetadata.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "NARMS_EFLMR_masterdata_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/NARMS_EFLMR_masterdata_Final.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EFLMR_AMR_sample_sites.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/EFLMR_AMR_sample_sites.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Culture_Data_Set_Description_WatershedStudy.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1g1w/Culture_Data_Set_Description_WatershedStudy.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
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      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
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      "accessRights": "public"
    },
    {
      "title": "Assessing the Impact of Ethylene (ET) Exposures on  Endogenous Ethylene Oxide levels (EtO) in the Human Body",
      "description": "The data are acquired from publicly available literature and model simulations. This dataset is not publicly accessible because: The manuscript is being peer-reviewed and will become available later. It can be accessed through the following means: The data are stored in the EPA IRIS Sharepoint website. Format: The data are in the Excel format. \n\nThis dataset is associated with the following publication:\nLin, Y., K. Chialton, P. White, V. Morozov, and A. Persad. Uncovering the connection: ethylene exposure and endogenous ethylene oxide levels in humans.   Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London,  UK,  1-14, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531864",
      "keyword": [
        "background",
        "endogenous",
        "EtO (Ethylene Oxide)",
        "Ethylene",
        "ambient air"
      ],
      "contactPoint": {
        "fn": "Yu-Sheng Lin",
        "hasEmail": "mailto:lin.yu-sheng@epa.gov"
      },
      "distribution": [],
      "modified": "2024-11-18",
      "references": [
        "https://doi.org/10.1038/s41370-025-00826-7"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1531864/documents/Tables%20for%20exhaled%20breath.xlsx",
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      },
      "accessRights": "public"
    },
    {
      "title": "Recommendations for temporal aggregation of water quality data from multi-platform satellite constellations",
      "description": "Data represents satellite derived measures of cyanobacteria biomass across largest US lakes. This dataset is not publicly accessible because: Already publicly available at link below. It can be accessed through the following means: Original satellite files are publicly available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. Format:  GeoTIFF data, HE5 files. \n\nThis dataset is associated with the following publication:\nCoffer, M., B. Schaeffer, W. Salls, J. Minucci, and O. Cronin-Golomb. Recommendations for temporal aggregation of water quality data from multi-platform satellite constellations.   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 47(1): 177-199, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531763",
      "keyword": [
        "harmful algal bloom",
        "cyanobacteria",
        "water quality",
        "satellite"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2024-08-14",
      "references": [
        "https://doi.org/10.1080/01431161.2025.2575515"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data information for Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season",
      "description": "This entry provides information on how to obtain the data for the manuscript entitled \"Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season\". This dataset is not publicly accessible because: Data is maintained by Stephanie Schneider. It can be accessed through the following means: Data can be accessed by contacting Stephanie Schneider at stephanie.schneider@uleth.ca . Format: Data details and format can be obtained from the corresponding author, Stephanie Schneider. \n\nThis dataset is associated with the following publication:\nSchneider, S., A. Holder, and S. Styler. Environmentally Persistent Free Radicals in Outdoor Surface Grime during Pollen Season.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 12(9): 1211-1217, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-nckj",
      "keyword": [
        "urban grime",
        "atmospheric deposition",
        "field sampling",
        "Surface Film",
        "pollen",
        "photochemistry",
        "organic film"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [],
      "modified": "2025-08-15",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c00319"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ammonia Emissions from Swine Grow-Finish Barns",
      "description": "Daily Averaged Ammonia Emissions from Barns at Swine Grow-Finish Operations and Corresponding Environmental, Production and Management Conditions. \n\nThis dataset is associated with the following publication:\nRumsey, I., M. Nash, and J. Walker. Estimating air emissions from animal production in the United States using statistical models: Ammonia emissions from swine grow-finish barns.   Atmospheric Environment: X. Elsevier B.V., Amsterdam,  NETHERLANDS, 29: 100404, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-b5n3",
      "keyword": [
        "emissions",
        "ammonia",
        "Swine",
        "Barns"
      ],
      "contactPoint": {
        "fn": "Ian Rumsey",
        "hasEmail": "mailto:rumsey.ian@epa.gov"
      },
      "distribution": [
        {
          "title": "Swine_NH3_Grow-Finish_Barn_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-b5n3/Swine_NH3_Grow-Finish_Barn_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-12",
      "references": [
        "https://doi.org/10.1016/j.aeaoa.2025.100404"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Water quality data for the manuscript: Water column biogeochemistry in a tropical estuary",
      "description": "Here we provide data from water samples that were collected twice monthly, from April 26, 2021 and April 25, 2024, from sixteen stations throughout the San Juan Bay Estuary, Puerto Rico. The station locations are given in Fig. 1 and the descriptions of the data headers in the dataset are given in Table 1 in the associated Read Me file. An overview of methods follows. For methodological details, please see Oczkowski et al. 2026, Water column biogeochemistry in a tropical estuary. \n\nThis dataset is associated with the following publication:\nOczkowski, A., I. Cappielo-Cosme, M. Schwartz, N. Soto Nieves, M. Molina, E. Villafane, E. Huertas, D. Katz, and A. Hanson. Water column biogeochemistry in a tropical urban estuary.   JOURNAL OF TROPICAL ECOLOGY. Cambridge University Press, Cambridge,  UK, 42: e2, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-v9sx",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "estuary",
        "restoration",
        "stable isotopes",
        "carbon"
      ],
      "contactPoint": {
        "fn": "Autumn Oczkowski",
        "hasEmail": "mailto:oczkowski.autumn@epa.gov"
      },
      "distribution": [
        {
          "title": "https://zenodo.org/records/15181650",
          "accessURL": "https://zenodo.org/records/15181650",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-09",
      "references": [
        "https://doi.org/10.1017/s0266467425100394"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Exploring improved sample recovery and processing methods targeting Bacillus anthracis spores from vegetation matrices",
      "description": "This dataset contains metadata and data associated in the manuscript: Exploring improved sample recovery and processing methods targeting Bacillus anthracis spores from vegetation matrices. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-d51w",
      "keyword": [
        "Bacillus anthracis",
        "Environmental sampling",
        "matrix interference",
        "Sample Processing",
        "sample recovery optimization",
        "RV-PCR method",
        "emergency response",
        "anthrax"
      ],
      "contactPoint": {
        "fn": "Michael Pirhalla",
        "hasEmail": "mailto:pirhalla.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Metadata Vegetation Sampling.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-d51w/SciHub%20Metadata%20Vegetation%20Sampling.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-30",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Supplemental Geospatial Layers",
      "description": "Geospatial datasets associated with manuscript. Includes boundaries, C-CAP land cover, Enhanced Vegetative Index (EVI), hurricane exposures, tornado exposures, storm surge impact areas, and sea level rise scenarios (1-ft and 2-ft). \n\nThis dataset is associated with the following publications:\nBuck, K., C. Van Der Wiele, J. Bousquin, R. Polinsky, R. Ennis, Z. Black, M. McDaniel, and D. Parker. Understanding the Effects of Climate Change on Coastal Wetlands: Implications for Managing Federal Mitigation Banks on Florida’s [USA] Gulf Coast.   WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, 45: 107, (2025).\nBuck, K., J. Bousquin, C. Van Der Wiele, Z. Black, D. Parker, and R. Polinsky. Investigating the impact of sea level rise on coastal wetland mitigation banks and their potential for ecological and coastal community benefits. Presented at Florida Association of Mitigation Bankers (FAMB) 2024 Mitigation Banking Workshop, St. Augustine, FL, USA, 10/17/2024 - 10/18/2024.",
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      ],
      "identifier": "https://doi.org/10.23719/1531947",
      "keyword": [
        "Mitigation Bank",
        "remote sensing",
        "governance"
      ],
      "contactPoint": {
        "fn": "Kyle Buck",
        "hasEmail": "mailto:buck.kyle@epa.gov"
      },
      "distribution": [
        {
          "title": "2Ft.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/2Ft.zip",
          "mediaType": "application/zip",
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        },
        {
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/1Ft.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Tornadoes.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/Tornadoes.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "StormSurge.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/StormSurge.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Hurricanes.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/Hurricanes.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
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        {
          "title": "2011EVI.gdb.zip",
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        {
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        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "1996EVI.gdb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/1996EVI.gdb.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "2016CCAP.gdb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/2016CCAP.gdb.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "2011CCAP.gdb.zip",
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        {
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "2001CCAP.gdb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/2001CCAP.gdb.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1996CCAP.gdb.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/1996CCAP.gdb.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ServiceAreaBoundaries.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/ServiceAreaBoundaries.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "BankBoundaries.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/BankBoundaries.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "CC_MB_Impacts_2024_Supplemental1_GeodataTOC.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531947/CC_MB_Impacts_2024_Supplemental1_GeodataTOC.pdf",
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      "references": [
        "https://doi.org/10.1007/s13157-025-01992-y",
        "https://floridamitigationbanking.org/attend-the-2024-famb-mitigation-banking-workshop-october-17th-18th/"
      ],
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        "name": "U.S. Environmental Protection Agency",
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      "title": "Occurrence of Novel Human Tomato Brown Rugose Fruit Virus and Conventional Microbial Source Tracking Genetic Markers in a Hawaiian Coupled Stream-Beach System ",
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      "title": "Dataset for the manuscript titled Laboratory investigation of inadvertently generated PCBs released from consumer products into lake water",
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      "title": "PFAS-ILS Paper Data",
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        "fn": "Xiaoyu Liu",
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      },
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      "title": "Nontargeted Analysis of Surface and Groundwaters Impacted by Historic PFAS Waste Sites",
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      "title": "A Novel Approach for Quantifying Elongated Airborne Mineral Particles (EMPs) Using an Automated Scanning Electron Microscope (SEM)",
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    {
      "title": "Data supporting \"A novel framework for expanding temperature intensity-duration-frequency curve utility\"",
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        "extreme heat",
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        "Intensity-Duration-Frequency"
      ],
      "contactPoint": {
        "fn": "Megan Mallard",
        "hasEmail": "mailto:mallard.megan@epa.gov"
      },
      "distribution": [
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          "title": "https://www.ncei.noaa.gov/access/search/data-search/global-hourly",
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    {
      "title": "Examining the effects of analytical replication on data quality in a non-targeted analysis experiment",
      "description": "Supplementary information for \"Examining the effects of analytical replication on data quality in a non-targeted analysis experiment\".",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      ],
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        "020:000"
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      "identifier": "https://doi.org/10.23719/d-d7x5",
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        "ground water",
        "PFAS",
        "surface water",
        "Quantitative nontargeted analysis"
      ],
      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "216_2025_5940_MOESM1_ESM.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-d7x5/216_2025_5940_MOESM1_ESM.docx",
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      "accessRights": "public"
    },
    {
      "title": "Dual disinfection",
      "description": "Municipal wastewater treatment case studies:  These two full scale studies describes the steps and advantages of peracetic acid and chlorination combination for treating wastewater. \n\nThis dataset is associated with the following publication:\nNamboodiri, V., and A. Garg. Enhanced Inactivation of E. coli and Enterococci through Dual Disinfection with PAA and Chlorine: Two Full-Scale Wastewater Treatment Case Studies.   JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 152(4): 05026002, (2026).",
      "accessLevel": "public",
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      "bureauCode": [
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      "identifier": "https://doi.org/10.23719/1531761",
      "keyword": [
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        "wastewater treatment"
      ],
      "contactPoint": {
        "fn": "Vasudevan Namboodiri",
        "hasEmail": "mailto:namboodiri.vasudevan@epa.gov"
      },
      "distribution": [
        {
          "title": "Mill Creek study Data 41625.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531761/Mill%20Creek%20study%20Data%2041625.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "Little Miami Phase I and Phase II data4162025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531761/Little%20Miami%20Phase%20I%20and%20Phase%20II%20data4162025.xlsx",
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        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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      "accessRights": "public"
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    {
      "title": "Effects of ozone-depleting substances on ultraviolet radiation and skin cancer rates in Australia and the United States of America",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "fn": "David Godwin",
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      },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-d51x/spd-ahef-geohealth-main.zip",
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      "accessRights": "public"
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    {
      "title": "Gene Expression of Mouse Liver and Brain after 5-day Oral Exposure of Anatoxin-a",
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      "distribution": [
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          "mediaType": "application/pdf",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "Anatoxin 5-day oral anatoxin metadata using GEO template 1-30-26.xlsx",
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    {
      "title": "Data supporting: The risks to human health of air toxics, PM2.5, and ozone from the 2023 Canadian wildfires (v1)",
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      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
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      "programCode": [
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      "identifier": "https://doi.org/10.23719/1532426",
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      "contactPoint": {
        "fn": "Havala Pye",
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      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.16099070",
          "accessURL": "https://doi.org/10.5281/zenodo.16099070",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/GL41QC",
          "accessURL": "https://doi.org/10.15139/S3/GL41QC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-18",
      "references": [
        "https://doi.org/10.1021/acs.estlett.5c01181"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NC_air_heat_event_and_birth_outcomes",
      "description": "Dataset for epidemiology study of interactions between air pollutants and heat events with birth outcomes. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Birth registry data can be requested through the North Carolina Department of Health and Human Services. Air pollution data can be accessed through the EPA at https://www.epa.gov/hesc/rsig-related-downloadable-data-files. NLADS-2 can be accessed through https://ldas.gsfc.nasa.gov/nldas/nldas-2-model-data. Format: Datasets are in .csv, SAS, and R files. \n\nThis dataset is associated with the following publication:\nKrajewski, A., B. Alman, A. Vaidyanathan, J. Warren, T. Luben, and K. Rappazzo. Associations between PM2.5 exposure and birth outcomes and effect modification by extreme heat events during pregnancy in a North Carolina cohort.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 362: 121500, (2025).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531981",
      "keyword": [
        "Children's Environmental Health",
        "birth outcomes",
        "air pollution",
        "interaction",
        "Extreme Heat Events"
      ],
      "contactPoint": {
        "fn": "Kristen Rappazzo",
        "hasEmail": "mailto:rappazzo.kristen@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-04",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2025.121500"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
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          "bbox": "POLYGON((-84.2434 33.8704, -75.5202 33.8704, -75.5202 36.5907, -84.2434 36.5907, -84.2434 33.8704))"
        }
      ],
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Shafer HESI MEA Data for Seizurogenic Potential",
      "description": "This effort was part of a multi-laboratory study coordinated by HESI. Shafer lab tested multiple chemicals using MEA apparatus. The data was sent to HESI for analysis for the ability of MEA technology to identify seizurogenic potential.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-6pnm",
      "keyword": [
        "MEA",
        "neurotoxicity",
        "in vitro assays"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "https://clowder.edap-cluster.com/datasets/698a1c56e4b0731a6170bc9a",
          "accessURL": "https://clowder.edap-cluster.com/datasets/698a1c56e4b0731a6170bc9a",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2026-02-09",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data used in Detailing atmospheric nitrate chemistry in the Northeastern US under a period of changes in emissions (v1)",
      "description": "The dataset contains links to publicly available CMAQ code, CMAQ-ready inputs, and other data used in Kim, H., Walters, W. W., Pye, H.O.T., Foley, K. M., and Hastings, M.G., Detailing Atmospheric Nitrate Chemistry in the Northeastern US Under a Period of Changes in Emissions, Environ. Sci. Technolo., https://doi.org/10.1021/acs.est.5c16699, 2026. \n\nThis dataset is associated with the following publication:\nKim, H., W. Walters, H. Pye, K. Foley, and M. Hastings. Detailing Atmospheric Nitrate Chemistry in the Northeastern US Under a Period of Changes in Emissions.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 60(5): 4289-4297, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532210",
      "keyword": [
        "nitrate",
        "Nitrogen and Co-pollutants",
        "oxidants",
        "air quality",
        "nitrogen oxides",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.11049317",
          "accessURL": "https://doi.org/10.5281/zenodo.11049317",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/F2KJSK",
          "accessURL": "https://doi.org/10.15139/S3/F2KJSK",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-02",
      "references": [
        "https://doi.org/10.1021/acs.est.5c16699"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Detailed data for all results shown in paper \"A Novel Constrained Drop Surfactometer Demonstrates Inhibition of Lung Surfactant Function by PFAS Aerosols In Vitro\" by L.M. Klein et al.",
      "description": "This dataset shows all detailed data backing up all results (tables, figures, results text) shown in the main paper and supplemental file of the submitted paper \"A Novel Constrained Drop Surfactometer Demonstrates Inhibition of Lung Surfactant Function by PFAS Aerosols In Vitro\" by L.M. Klein et al. \n\nThis dataset is associated with the following publication:\nKlein, L., J. Heyman, J. Murray, J. Sorli, M. Smeltz, M. Monsees, T. Krantz, E. Puckett, and S. Gavett. A Novel Constrained Drop Surfactometer Demonstrates Inhibition of Lung Surfactant Function by PFAS Aerosols In Vitro.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  209(2): kfaf156, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532510",
      "keyword": [
        "Lung surfactant",
        "Surface tension",
        "Aerosol",
        "Fluorinated compound",
        "PFAS",
        "New Approach Methods (Alternatives to Animal Testing)"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "10_Supp Figure SF3.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/10_Supp%20Figure%20SF3.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "9_Supp Figure SF2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/9_Supp%20Figure%20SF2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "8_Supp Figure SF1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/8_Supp%20Figure%20SF1.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "7_Results text direct mixing data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/7_Results%20text%20direct%20mixing%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "6_Prism file inside Fig 6 Fig7 Calc of interpolated inhib dose.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/6_Prism%20file%20inside%20Fig%206%20Fig7%20Calc%20of%20interpolated%20inhib%20dose.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5_Table 2 Fig 6 Fig 7 Mass spec PFAS conc.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/5_Table%202%20Fig%206%20Fig%207%20Mass%20spec%20PFAS%20conc.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4_Table 2 Fig 5 Fig 6 Fig 7 SuppTable 2 Surface tension.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/4_Table%202%20Fig%205%20Fig%206%20Fig%207%20SuppTable%202%20Surface%20tension.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3_Fig 4 Hysteresis curves.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/3_Fig%204%20Hysteresis%20curves.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2_Fig 3 surface tension time course.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/2_Fig%203%20surface%20tension%20time%20course.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1_Fig 2 Tracer dosimetry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532510/1_Fig%202%20Tracer%20dosimetry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-12",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaf156"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "BioSpyder data for perchlorate and propylthiouracil studies",
      "description": "Further details on 5 files are found in overview tab of each one. All data sets contain transcriptomic data from Biospyder run in March 2025.\n1. \"Biospyder M0516...\" Tissue is forebrain of GD20 fetal rat pups born to dams exposed to 0  1 30 300 or 1000ppm ammonium perchlorate (ClO4) in drinking water from GD6-GD20 in study M0516 in 2016\n2. \"Biospyder M0714...\" Tissue is forebrain of GD20 fetal rat pups born to dams exposed top 0  1 2  or 3ppm propylthiouracil (PTU) in drinking water from GD6-GD20 in study M0714 in 2014\n3. \"Biospyder M0918 ClO4 PN0...\" Tissue is forebrain of PN0 pups born to dams exposed to 0 or 300ppm ammonium perchlorate (ClO4) in drinking water from GD6-PN21 under conditions of a replete iodine sufficient vs an iodine deficient diet in study M0918 in 2018-2019.\n4. \"BioSpyder M0918 ClO4 PN2...\" Tissue is forebrain of PN2 pups born to dams exposed to 0 or  300ppm ammonium perchlorate (ClO4) in drinking water from GD6-PN21 under conditions of a replete iodine sufficient vs an iodine deficient diet in study M0918 in 2018-2019.\n5. \"BioSpyder M1123...\" Tissue is forebrain of PN0 rat pups born to dams exposed top 0  0.5 1 or 3ppm propylthiouracil (PTU) in drinking water from GD6-PN21.\n\n\n",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-5h77",
      "keyword": [
        "children's health",
        "developmental neurotoxicity",
        "Adverse Outcome Pathways (AOPs)",
        "in vivo",
        "propylthiouracil",
        "perchlorate"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "Biospyder M1123 PTU PN0_fro ScienceHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5h77/Biospyder%20M1123%20PTU%20PN0_fro%20ScienceHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biospyder M0918 ClO4 PN2 Science Hub Entry b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5h77/Biospyder%20M0918%20ClO4%20PN2%20Science%20Hub%20Entry%20b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biospyder M0918 ClO4 PN0 Science Hub Entry b.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5h77/Biospyder%20M0918%20ClO4%20PN0%20Science%20Hub%20Entry%20b.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biospyder M0714 PTU GD20 for ScienceHub Entry.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5h77/Biospyder%20M0714%20PTU%20GD20%20for%20ScienceHub%20Entry.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Biospyder M0516 ClO4 GD20.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5h77/Biospyder%20M0516%20ClO4%20GD20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-24",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Examination of compliance refinery fenceline monitoring for benzene across the United States during 2019",
      "description": "Compliance refinery fenceline monitoring data for benzene across the United States during 2019. \n\nThis dataset is associated with the following publication:\nMukerjee, S., C. Croghan, and L. Smith. Examination of compliance refinery fenceline monitoring for benzene across the United States during 2019.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 17(2): 102776, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-t77d",
      "keyword": [
        "air quality",
        "benzene",
        "epa method 325",
        "Fenceline Monitoring",
        "Passive sampler",
        "method 325",
        "Petroleum Refinery"
      ],
      "contactPoint": {
        "fn": "Shaibal Mukerjee",
        "hasEmail": "mailto:mukerjee.shaibal@epa.gov"
      },
      "distribution": [
        {
          "title": "dictionary.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t77d/dictionary.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "analysis.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-t77d/analysis.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-10-31",
      "references": [
        "https://doi.org/10.1016/j.apr.2025.102776",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12927074"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Modeling water quality in a subalpine lake",
      "description": "The AQUATOX model (Release 3.2, https://www.epa.gov/hydrowq/aquatox) was parameterized and applied to The Loch in Loch Vale watershed in Colorado. The data were provided by the USGS supported Loch Vale Watershed Long-term Ecological Research and Monitoring program. \n\nThis dataset is associated with the following publication:\nClough, J., B. Rashleigh, R. Parmar, K. Wolfe, C. Knightes, and D. Smith. Modeling water quality in a subalpine lake.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 507: 111172, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532404",
      "keyword": [
        "phytoplankton",
        "Nitrogen and Co-pollutants",
        "Ecosystem Model",
        "lakes"
      ],
      "contactPoint": {
        "fn": "Brenda Rashleigh",
        "hasEmail": "mailto:rashleigh.brenda@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.usgs.gov/data/field-notebooks-loch-vale-watershed-rocky-mountain-national-park-research-1981-through-2023",
          "accessURL": "https://www.usgs.gov/data/field-notebooks-loch-vale-watershed-rocky-mountain-national-park-research-1981-through-2023",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://www2.nrel.colostate.edu/projects/lvws/data.html",
          "accessURL": "https://www2.nrel.colostate.edu/projects/lvws/data.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "AlpineLakesModeling data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532404/AlpineLakesModeling%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-28",
      "references": [
        "https://doi.org/10.1016/j.ecolmodel.2025.111172",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12180747"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2021-2023_forecast",
      "description": "Cyanobacteria forecast results from 2021-2023 for 2,192 satellite resolvable lakes. \n\nThis dataset is associated with the following publication:\nMeyers, K., B. Schaeffer, O. Cronin Golomb, W. Salls, D. Benkendorf, G. Serenbetz, and M. Coffer. National forecasting of cyanobacterial harmful algal bloom events: a three-year model evaluation.   LAKE AND RESERVOIR MANAGEMENT. Taylor & Francis Group, London,  UK, 41(4): 261-269, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532223",
      "keyword": [
        "cyanobacteria",
        "Cyanobacterial Harmful Algal Bloom",
        "ecological forecasting"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Meyers_manuscript_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532223/Meyers_manuscript_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://products.climate.ncsu.edu/weather/hurricanes/statistics/",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "https://www.nhc.noaa.gov/data/tcr/index.php?season=2016&basin=atl",
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          "title": "https://waterdata.usgs.gov/nwis/uv?site_no=02089000&legacy=1",
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          "title": "https://waterdata.usgs.gov/nwis/uv?site_no=02089500&legacy=1",
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      "references": [
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    {
      "title": "Spring 2025 Puget Sounds LCMS results for Aqueous and SPATT samples",
      "description": "This dataset includes LCMS cyanobacteria results for the spring 2025 Puget Sound aqueous and solid phase adsorption toxin tracking (SPATT) samples.",
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      "identifier": "https://doi.org/10.23719/d-sj4q",
      "keyword": [
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        "HABs",
        "LCMS",
        "Toxins"
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      "contactPoint": {
        "fn": "Morgan McNeely",
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      },
      "distribution": [
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-sj4q/SciHub%202025-Puget%20Sound%20Spring%20LCMS%20Results-SPATT%20and%20Aqueous%20Reporting.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      "references": null,
      "publisher": {
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    },
    {
      "title": "CdxHFr Non-Pregnant Data",
      "description": "Data from paper, \"The effects of cadmium and high fructose diet on metabolic and reproductive health in female CD-1 mice.\". \n\nThis dataset is associated with the following publication:\nAdams, V., J. Dye, M. Narotsky, M. Moore, H. Nguyen, A. Sasser, K. Das, L. Strader, J. Pancras, D. Jenkins-Hill, C. Davis, W. Williams, R. Grindstaff, W. Padgett, C. Lau, and C. Miller. The effects of cadmium and high fructose diet on metabolic and reproductive health in female CD-1 mice..   FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 206: 115726, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:000"
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      "identifier": "https://doi.org/10.23719/1532447",
      "keyword": [
        "Metabolism",
        "reproductive health",
        "Cadmium",
        "Drinking water contaminants"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "CdxHFr Non-pregnant All Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532447/CdxHFr%20Non-pregnant%20All%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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      ],
      "modified": "2025-08-01",
      "references": [
        "https://doi.org/10.1016/j.fct.2025.115726"
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      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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          }
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      "accessRights": "public"
    },
    {
      "title": "Dataset for Comparison of Real-Time and Offline Mass Spectrometry Methods for Quantitation of Fluorotelomer Alcohols in Aqueous Film-Forming Foam Headspace",
      "description": "Mass spectrometry data for four fluorotelomer alcohols (FTOHs) quantified in the headspace of three aqueous film-forming foam (AFFF) formulations, including calibration curves, sample quantification, and calculations. Supplementary humidity data measured by FTIR are also provided. \n\nThis dataset is associated with the following publication:\nWest, G., K. Docherty, M. Clifton, J. Krug, M. Schueneman, W. Roberson, and A. Wallace. Comparison of Real-Time and Offline Mass Spectrometry Methods for Quantitation of Fluorotelomer Alcohols in Aqueous Film-Forming Foam Headspace.   JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY. Elsevier Science Ltd, New York, NY, USA, 37(2): 377-386, (2026).",
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        "headspace",
        "Aqueous film-forming foam",
        "chemical ionization mass spectrometry (CIMS)",
        "PFAS"
      ],
      "contactPoint": {
        "fn": "Gabrielle West",
        "hasEmail": "mailto:west.gabrielle@epa.gov"
      },
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-3nr7/FigureS1.xlsx",
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-3nr7/Figure3%2B4%20and%20Table2%2BS10%2BS11%2BS12%2BS13.xlsx",
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      "references": [
        "https://doi.org/10.1021/jasms.5c00298"
      ],
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    {
      "title": "Satellite-based vertical land motion for infrastructure monitoring: A prototype roadmap in Greater Houston, Texas - Metadata entry ",
      "description": "In this study, we present a prototype roadmap for integrating remotely sensed observations into decision-making frameworks. Using OPERA VLM products derived from Sentinel-1, we map VLM rates and uncertainties at ~30 m resolution across the Greater Houston-Galveston region.. Our analysis reveals widespread but spatially varying subsidence, with differing impacts on ASTs. We apply a metric to estimate that VLM from April 2016 to November 2023 is predominantly linear, allowing future extrapolation of VLM rates. Combining future sea-level rise (SLR) scenarios with VLM data, we estimate that by 2050, ASTs in the region will experience at least 26.1 cm of relative SLR, with 10 (14.9%) exposed to more than 60 cm. Finally, we illustrate the value of integrating hydrodynamic models with spatially varying relative SLR, finding that flooding hazards are substantially amplified during a simulated Hurricane Harvey–like event under future conditions. Overall, we demonstrate the importance of incorporating high-resolution VLM data into hazard assessments to support near- and long-term decision-making. Our approach provides actionable insights for enhancing resilience to subsidence, RSLR, and associated flooding risks in Greater Houston/Galveston and other vulnerable coastal areas. This dataset is not publicly accessible because: Non EPA generated data generated by NASA. It can be accessed through the following means: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. InSAR processing software is freely available on GitHub and archived on Zenodo. ISCE-2 is at https://github.com/isce-framework/isce2 and https://zenodo.org/record/8157051, FRInGE is at https://github.com/isce-framework/fringe/tree/main, and https://zenodo.org/record/8157065, and MintPy is at https://github.com/insarlab/MintPy and https://zenodo.org/record/7502839, GNSS data and MIDAS rates and uncertainties are available from the Nevada Geodetic Lab at http://geodesy.unr.edu. Sentinel-1 single look complex images (SLC) are available at the Alaska Satellite Facility Distributed Active Archive Center (https://asf.alaska.edu/). The rate and associated uncertainty map produced in this work are available in the supplementary files in both geotiff and kmz (Google Earth) format. The historical flood depth model prediction is available at https://datadryad.org/stash/dataset/doi:https://doi.org/10.7280/D1NX1W (H10.tif), and the future flood depth model prediction is available in the supplementary files in geotiff format. Format: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. InSAR processing software is freely available on GitHub and archived on Zenodo. ISCE-2 is at https://github.com/isce-framework/isce2 and https://zenodo.org/record/8157051, FRInGE is at https://github.com/isce-framework/fringe/tree/main, and https://zenodo.org/record/8157065, and MintPy is at https://github.com/insarlab/MintPy and https://zenodo.org/record/7502839, GNSS data and MIDAS rates and uncertainties are available from the Nevada Geodetic Lab at http://geodesy.unr.edu. Sentinel-1 single look complex images (SLC) are available at the Alaska Satellite Facility Distributed Active Archive Center (https://asf.alaska.edu/). The rate and associated uncertainty map produced in this work are available in the supplementary files in both geotiff and kmz (Google Earth) format. The historical flood depth model prediction is available at https://datadryad.org/stash/dataset/doi:https://doi.org/10.7280/D1NX1W (H10.tif), and the future flood depth model prediction is available in the supplementary files in geotiff format. \n\nThis dataset is associated with the following publication:\nBuzzanga, B., M. Govorcin, F. Kremer, J.E. Schubert, D.P.S. Bekaert, B. Schaeffer, P. Milillio, A.J. Williams, B.F. Sanders, A.L. Handwerger, and S. Staniewicz. Satellite-based vertical land motion for infrastructure monitoring: a prototype roadmap in Greater Houston, Texas.   NATURE. Nature Portfolio, Berlin,  GERMANY,  17041, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532380",
      "keyword": [
        "storage tanks",
        "Subsidence",
        "Natech",
        "remote sensing"
      ],
      "contactPoint": {
        "fn": "Michael Gonzalez",
        "hasEmail": "mailto:gonzalez.michael@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-14",
      "references": [
        "https://doi.org/10.1038/s41598-025-01970-8",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084606"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "NWCA 2016",
      "description": "NWCA 2016 Data. \n\nThis dataset is associated with the following publication:\nDumelle, M., R. Trangucci, A. Nahlik, T. Olsen, K. Irvine, K. Blocksom, J. Ver Hoef, and C. Fuentes. Missing data in ecology: Syntheses, clarifications, and considerations.   ECOLOGICAL MONOGRAPHS. Ecological Society of America, Ithaca, NY, USA, 95(4): e70037, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532034",
      "keyword": [
        "Imputation",
        "Data Augmentation",
        "Missing Data",
        "Spatial Model"
      ],
      "contactPoint": {
        "fn": "Michael Dumelle",
        "hasEmail": "mailto:dumelle.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/national-wetland-condition-assessment-2016-results",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/national-wetland-condition-assessment-2016-results",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2021-12-03",
      "references": [
        "https://doi.org/10.1002/ecm.70037"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ-CRACMM2 predictions for Summer 2019 in Los Angeles, CA (v1)",
      "description": "This dataset contains a link to CMAQ-CRACMM 2019 model inputs, the CMAQ code repository, the CRACMM repository, and CMAQ-CRACMM output for 2019 in Los Angeles. Species identifiers and names follow CRACMM2 convention and are documented in both the CMAQ and CRACMM repository.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-73nn",
      "keyword": [
        "secondary organic aerosol (SOA)",
        "pm2.5",
        "CRACMM",
        "CMAQ",
        "urban air quality"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.15139/S3/WZNGQB",
          "accessURL": "https://doi.org/10.15139/S3/WZNGQB",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CRACMM",
          "accessURL": "https://github.com/USEPA/CRACMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "cracmm2_all_spc_LA_12US1_20190601-20190831.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-73nn/cracmm2_all_spc_LA_12US1_20190601-20190831.csv",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2026-02-06",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Moser 1995 FOB Data Set",
      "description": "Functional Observational Battery raw scores and functional domain scores for acute and sub-chronic data published in: Moser, V. C., Cheek, B. M., & MacPhail, R. C. (1995). A multidisciplinary approach to toxicological screening: III. Neurobehavioral toxicity. Journal of Toxicology and Environmental Health, Part A Current Issues, 45(2), 173-210.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-gsv0",
      "keyword": [
        "neurotoxicity",
        "functional observational battery",
        "behavior",
        "FOB"
      ],
      "contactPoint": {
        "fn": "David Herr",
        "hasEmail": "mailto:herr.david@epa.gov"
      },
      "distribution": [
        {
          "title": "Moser_1995_FOB.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-gsv0/Moser_1995_FOB.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2026-03-04",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Thyroid Hormone Insufficiency Alters the Pattern of Expression of the Ca2+-Binding Proteins in the Rat Neonatal Cortex",
      "description": "Dataset includes various results from two studies: the first study being a pilot study (M1123) and the second including dose response (M1224). In both studies, pregnant rats were dosed with Propylthiouracil (PTU) through drinking water with either 0 and 3ppm PTU (M1123) or 0, 0.5, 1, and 3ppm PTU (M1224) and tissue collected from both pups at various ages and dams on postnatal day 23. Specific results include serum thyroid hormone measures (RIA for thyroid stimulating hormone and LC-MS/MS for the remaining thyroid hormones), cortical thyroid hormone measures (LC-MS/MS), cortical gene expression data (qPCR), body weights, and immunohistochemical cell count data for four stains (DAB staining): parvalbumin, GAD-67, calbindin, and calretinin. Also included are the results for periventricular heterotopia volume measures (NeuN staining with DAB). Cell counts and volume measures for the periventricular heterotopia were conducted using Aperio ImageScope software.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-zpd6",
      "keyword": [
        "in vivo",
        "developmental neurotoxicity",
        "children's health",
        "Adverse Outcome Pathways (AOPs)"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "SCIENCE HUB M1224 PTU Low Dose 2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-zpd6/SCIENCE%20HUB%20M1224%20PTU%20Low%20Dose%202.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SCIENCE HUB M1123 M1224 PVH.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-zpd6/SCIENCE%20HUB%20M1123%20M1224%20PVH.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "SCIENCE HUB M1123 Dev PTU Parv 0 & 3ppm.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-zpd6/SCIENCE%20HUB%20M1123%20Dev%20PTU%20Parv%200%20%26%203ppm.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-14",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Phosphorus removal capacity, arsenic leaching, and PFAS content of drinking water treatment residuals with potential to enhance stormwater infrastructure in New England, USA",
      "description": "The data sets include results from analyzing drinking water treatment residuals (DWTRs) collected from 11 drinking water treatment facilities located in the Northeast Region. The goal of analyzing DWTRs are to understand their phosphorus (P) removal capacity, arsenic leaching, and PFAS content so that we can better utilize their potential for enhancing stormwater infrastructure in New England to achieve P reduction goal. \n\nThis dataset is associated with the following publication:\nKubow, M., T. Chin, A. Sherman, Y. Yuan, M. Voorhees, A. Traviglia, J. McCord, M. Strynar, S. Hurley, and E. Roy. Phosphorus Removal Capacity, Arsenic Leaching, and PFAS Content of Drinking Water Treatment Residuals with Potential to Enhance Stormwater Infrastructure in New England.   Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, 12(2): 1-9, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531859",
      "keyword": [
        "phosphorus",
        "PFAS",
        "sorption",
        "arsenic",
        "bioretention",
        "drinking water treatment residuals",
        "green stormwater infrastructure"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "ROAR_2198_Final_Data_File.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531859/ROAR_2198_Final_Data_File.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-14",
      "references": [
        "https://doi.org/10.1061/jswbay.sweng-665"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Foy Lake Data",
      "description": "The dataset comprises a high-resolution sediment record spanning 7000 years from Foy Lake (Montana, USA). Foy Lake, situated at 48.1648°N, 114.3589°W and 1005 meters above sea level, is a deep freshwater lake within the drought-prone Flathead River Basin in the northern Rocky Mountains. Researchers collected percent abundances of 109 diatom taxa from a continuous lake sediment core, sampled approximately every 5–20 years, resulting in an extensive 7000-year record captured over 763 time-steps. \n\nThis dataset is associated with the following publication:\nAngeler, D., T. Eason, A. Garmestani, and C. Allen. Data sonification offers a novel approach for communicating Earth’s tipping points.   Ecology and Society. Resilience Alliance Publications, Waterloo,  CANADA, 31(1): 28, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531865",
      "keyword": [
        "regine shifts",
        "climate change",
        "tipping points",
        "resilience"
      ],
      "contactPoint": {
        "fn": "Ahjond Garmestani",
        "hasEmail": "mailto:garmestani.ahjond@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.1371/journal.pone.0108936.s001",
          "accessURL": "https://doi.org/10.1371/journal.pone.0108936.s001",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2014-10-03",
      "references": [
        "https://doi.org/10.5751/es-16778-310128"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Soil lead conversion to plumbojarosite remains stable following lime addition and supports grass growth",
      "description": "Pb/As totals and IVBA. \n\nThis dataset is associated with the following publication:\nBlackmon, M., T. Sowers, A. Betts, C. Jiang, and K. Bradham. Lead transformation to plumbojarosite remains stable following lime addition for lead and arsenic contaminated soils.   JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 506: 141540, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532212",
      "keyword": [
        "lead",
        "Lime",
        "arsenic",
        "vegetation",
        "remediation",
        "soil",
        "Grass"
      ],
      "contactPoint": {
        "fn": "Matthew Blackmon",
        "hasEmail": "mailto:blackmon.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "2025 0410_PLJ stability data for RAPID.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532212/2025%200410_PLJ%20stability%20data%20for%20RAPID.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-10",
      "references": [
        "https://doi.org/10.1016/j.jhazmat.2026.141540"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Prioritizing Chemical Candidates from Non-targeted Analysis Using Metadata, Spectral Similarity, and Hazard Scoring within INTERPRET NTA",
      "description": "Supporting information for \"Prioritizing Chemical Candidates from Non-targeted Analysis Using Metadata, Spectral Similarity, and Hazard Scoring within INTERPRET NTA\"",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-9f81",
      "keyword": [
        "assessment",
        "software",
        "cheminformatics",
        "non-targeted analysis",
        "exposure",
        "high-resolution mass spectrometry"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "ac5c02223_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9f81/ac5c02223_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ac5c02223_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9f81/ac5c02223_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
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      "modified": "2025-07-07",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data and code for Olson et al. Algal blooms in lakes increase after wildfire smoke events in the contiguous United States",
      "description": "Data and code for Olson et al. Algal blooms in lakes increase after wildfire smoke events in the contiguous United States. \n\nThis dataset is associated with the following publication:\nOlson, N.E., M.M. Brehob, R.D. Sabo, I. Pavlovic, K.I. Shank, S. Penry, A.M. Handler, M.J. Pennino, R.B. Rice, K.L. Boaggio, and S.D. LeDuc. Algal Blooms in Lakes Increase After Wildfire Smoke Events in the Contiguous United States.   Global Change Biology Communications. John Wiley & Sons, Inc., Hoboken, NJ, USA, 1(1): e70004, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532164",
      "keyword": [
        "wildfire",
        "smoke",
        "nutrients",
        "cyanobacteria",
        "Chlorophyll-a",
        "algal bloom",
        "remote sensing",
        "lakes",
        "drinking water"
      ],
      "contactPoint": {
        "fn": "Nicole Olson",
        "hasEmail": "mailto:olson.nicole@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ospo.noaa.gov/products/land/hms.html",
          "accessURL": "https://www.ospo.noaa.gov/products/land/hms.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/lakecat-dataset",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/water-research/cyanobacteria-assessment-network-cyan",
          "accessURL": "https://www.epa.gov/water-research/cyanobacteria-assessment-network-cyan",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-27",
      "references": [
        "https://doi.org/10.1002/gcb4.70004",
        "https://pasteur.epa.gov/uploads/10.23719/1532164/documents/Data.zip",
        "https://pasteur.epa.gov/uploads/10.23719/1532164/documents/Code.zip"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532164/documents/Description%20of%20data%20and%20code%20files%20for%20Olson%20et%20al_2025.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries",
      "description": "Supplementary data for \"Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries\". \n\nThis dataset is associated with the following publication:\nMaloney, E., S. Corsi, M. Pronschinske, L. DeCicco, M. Nott, J. Frisch, N. Fuller, A. Baldwin, K. Kimbrough, M. Edwards, S. Hummel, N. Vinas, and D. Villeneuve. Derivation and characterization of environmental hazard concentrations for chemical prioritization: a case study in the Great Lakes tributaries.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(7): 2029-2047, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-cfz8",
      "keyword": [
        "Risk Assessment",
        "ecotoxicity",
        "environmental monitoring",
        "new approach methodologies",
        "Environmental Fate"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "GreatLakes_Benchmarks_SI_Dataset_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-cfz8/GreatLakes_Benchmarks_SI_Dataset_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "GreatLakes_Benchmarks_SI_final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-cfz8/GreatLakes_Benchmarks_SI_final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-08-07",
      "references": [
        "https://doi.org/10.1093/etojnl/vgae002"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin",
      "description": "Supplementary data for \"Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin\". \n\nThis dataset is associated with the following publication:\nFuller, N., K. Kimbrough, M. Edwards, E. Maloney, S. Corsi, M. Pronschinske, L. DeCicco, J. Frisch, A. Baldwin, S. Hummel, N. Garcia Reyero, and D. Villeneuve. Leveraging invasive mussel contaminant survey data for stepwise prioritization of chemicals of potential concern in the Great Lakes basin.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(7): 2070-2087, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-bcck",
      "keyword": [
        "chemical prioritization",
        "ecotoxicology",
        "contaminants of emerging concern",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "vgaf072_supplementary_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bcck/vgaf072_supplementary_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-07",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf072"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Atmospheric circulation constraints on future Southwest United States precipitation from CMIP6",
      "description": "This data file contains Python scripts for recreating the analysis presented in the manuscript. The manuscript figures are also included in this file. \n\nThis dataset is associated with the following publication:\nKelleher, M.K., P.E. Morefield, and K.M. Grise. Relationships Between Atmospheric Circulation and Southwestern United States 21st Century Precipitation Trends in Statistically Downscaled CMIP6 Models.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 131(6): e2025JD044419, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532255",
      "keyword": [
        "downscaling",
        "precipitation",
        "CMIP6",
        "climate change"
      ],
      "contactPoint": {
        "fn": "Philip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "distribution": [
        {
          "title": "KelleherEtAl25_FilesAndScripts.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532255/KelleherEtAl25_FilesAndScripts.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": [
        "https://doi.org/10.1029/2025jd044419"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.5395 30.9689, -108.4582 30.9689, -108.4582 41.9942, -124.5395 41.9942, -124.5395 30.9689))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Detailed data for all results shown in paper \"Acute BTEX Inhalation Activates Sensitive Transcriptomic Pathways in Mouse Respiratory Tract\"",
      "description": "This dataset shows all detailed data backing up all results (tables, figures, results text) shown in the main paper and supplemental files of the paper intended for submission to Environmental Science and Pollution Research \"Acute BTEX Inhalation Activates Sensitive Transcriptomic Pathways in Mouse Respiratory Tract\" by T. W. Jackson et al.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-z23f",
      "keyword": [
        "transcriptomics",
        "ethylbenzene",
        "benzene",
        "Xylenes",
        "inhalation",
        "Chemical Screening",
        "benchmark dose modeling",
        "toluene"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "6_BTEX paper SI Tables 1-6.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/6_BTEX%20paper%20SI%20Tables%201-6.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "5_SI Tables 4-5 gene and Reactome details .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/5_SI%20Tables%204-5%20gene%20and%20Reactome%20details%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "4_Fig3-6 Table1 SI Fig1,3-5 SI Tables 4-6 tissue gene counts.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/4_Fig3-6%20Table1%20SI%20Fig1%2C3-5%20SI%20Tables%204-6%20tissue%20gene%20counts.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "3_Fig2 SI Table2 SI Table3 blood BALF.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/3_Fig2%20SI%20Table2%20SI%20Table3%20blood%20BALF.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2_SI Fig2 SI Table1 plethysmography.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/2_SI%20Fig2%20SI%20Table1%20plethysmography.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1_Fig1 BTEX exposure data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-z23f/1_Fig1%20BTEX%20exposure%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-03-18",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for development and evaluation of a qPCR method modification that mitigates DNA recovery losses for analyses of E. coli fecal indicator bacteria in Great Lakes region recreational waters",
      "description": "Results previously reported by EPA/ORD on the modified method have led to its adoption into a Standard Operating Procedure for labs performing qPCR analyses for E. coli at recreational beaches in the state of Michigan. This dataset provides further documentation of the performance and applicability of the modified method for recreational beach water testing including data from an extensive survey that can be used to determine when and where unacceptable levels of DNA losses may occur with and without this method modification in the Great Lakes region.\n\nPlease see the attached dataset description document for additional information. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-dnd5",
      "keyword": [
        "E. coli",
        "Interference",
        "Michigan",
        "QPCR methods comparisons",
        "Great Lakes Region"
      ],
      "contactPoint": {
        "fn": "Shawn Siefring",
        "hasEmail": "mailto:siefring.shawn@epa.gov"
      },
      "distribution": [
        {
          "title": "Haugland_QPCR Method Modification Dataset_Post External Review_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-dnd5/Haugland_QPCR%20Method%20Modification%20Dataset_Post%20External%20Review_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-29",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CRACMMv1.0 study 2021 dataset version 1 for January, April, July, and October.",
      "description": "all input to run the CMAQ model, all files are in netCDF format. This dataset is not publicly accessible because: hosted by the corresponding authors, can be obtained through a request. It can be accessed through the following means: All data is available upon request from the corresponding authors. Format: input for the CMAQ model in netCDF format",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-pg5p",
      "keyword": [
        "CMAQ Modeling System",
        "CRACMMv1.0",
        "PM25"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-17",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((68.1233 7.1336, 142.8532 7.1336, 142.8532 55.4477, 68.1233 55.4477, 68.1233 7.1336))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Source Attribution of PM2.5 Health Benefits over Northern Hemisphere Using Adjoint of Hemispheric CMAQ",
      "description": "Abstract copied from manuscript April 25:\n\nThe adjoint of the U.S. EPA’s Community Multiscale Air Quality (CMAQ) model is extended for hemispheric scale applications and is used to estimate location-specific health impacts from primary PM2.5, and PM2.5 precursor emissions (NH3, NOX and SO2). We estimate the monetized health burden due to mortality caused by chronic PM2.5 exposure among adults living in the northern hemisphere, using a generalized concentration-response function. The health impact sensitivities show large spatial variability over the northern hemisphere and exhibit a great deal of seasonal variability, especially for inorganic precursor emissions. The largest marginal impacts are seen for NH3 and primary PM2.5. The estimated health impacts for a 10% reduction in emissions reveal a hemispheric burden of 513,700 avoided mortality (0.9% of global mortality) and monetized health benefits at above 1.2 trillion USD2016. The largest regional contribution to hemispheric mortality is found to be in East and South Asia, particularly China and India. Monetized health burdens are estimated to be highest in China and Europe while it was relatively similar in India as in Canada and the United States. Sectoral source contribution analysis demonstrates that the sectoral emissions of agriculture and residential are the largest contributors to the northern hemispheric scale health burden, however, regional differences exist in the results. Examining location- and sector-specific health impacts can inform more effective regulatory measures. This dataset is not publicly accessible because: These files are too large for ScienceHub. It can be accessed through the following means: These are available from the corresponding author upon request. Format: CMAQ outputs formatted as IOAPI with attribution results. These are available from the corresponding author upon request. \n\nThis dataset is associated with the following publication:\nOztaner, Y.B., S. Zhao, B. Henderson, R. Mathur, and A. Hakami. Source Attribution of PM2.5 Health Benefits Over Northern Hemisphere Using Adjoint of Hemispheric CMAQ.   GeoHealth. American Geophysical Union, Washington, DC, USA, 10(1): e2025GH001533, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532496",
      "keyword": [
        "Aerosols/particulates",
        "air quality health impacts",
        "Attributable Risk"
      ],
      "contactPoint": {
        "fn": "Barron Henderson",
        "hasEmail": "mailto:henderson.barron@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-30",
      "references": [
        "https://doi.org/10.1029/2025gh001533"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -3.0, 180.0 -3.0, 180.0 90.0, -180.0 90.0, -180.0 -3.0))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Spatiotemporal Assessment of the TEMPO Formaldehyde Column Retrieval using the Pandonia Global Network",
      "description": "Abstract copied from manuscript July 21, 2025\n\nLaunched in April 2023, the Tropospheric Emissions: Monitoring of Pollution (TEMPO), instrument provides for the first time\nhourly measurements of atmospheric pollutants over most of North America at high spatial resolution (˜ 2 × 4.75 km2). This\nevaluation of TEMPO’s first year demonstrates the capability of total formaldehyde column retrievals (ΩHCHO, version 3) at\ndifferent locations, seasons, and meteorological conditions. The ΩHCHO product is assessed using 36 ground-based Pandora\ndirect-sun measurements from Pandonia Global Network (PGN) as a reference dataset. The 36 PGN sites were chosen for\nconsistency in direct-sun and sky-scan measurement modes. In the first year of operation, TEMPO ΩHCHO exhibit moderate\nto strong agreement at PGN sites in both measurement modes (R2 = 0.63 to 0.85). TEMPO shows a small bias of -2 ± 20% at\nlower ΩHCHO (< 1.0×1016 molecule cm-2) and a larger underestimation of -22 ± 5% at higher ΩHCHO (> 1.5×1016 molecule\ncm-2). TEMPO clearly captures the seasonal variability of ΩHCHO, with summer values exceeding those in winter, spring,\nand fall by 62%, 45%, and 29%, respectively. TEMPO shows no consistent bias at any time of day with excellent agreement\nfor different meteorological conditions. For all hourly differences between TEMPO and Pandora, 96% fall within 1 × 1016\nmolecules cm-2. TEMPO provides almost 50% more days with at least one observation compared to observations only at 1 pm.\nThese findings confirm the high quality of TEMPO’s ΩHCHO measurements under a wide variety of conditions and show great\npromise for future scientific applications. Portions of this dataset are inaccessible because: All publicly available. They can be accessed through the following means: Via links provided. Format: Data Availability Statement. All data are publicly available. The Pandora data is available at\r\nPGN website (https://www.pandonia-global-network.org). Pandora data was accessed through the\r\nEPA’s RSIG tool (https://www.epa.gov/hesc/remote-sensing-information-gateway; last access\r\nApril 2025). The TEMPO Level 2, version 3 data is available at NASA Earthdata ASDC website\r\n545 (https://search.earthdata.nasa.gov/). The meteorological data is available at NOAA ISD Lite\r\ndatabase (ftp://ftp.ncdc.noaa.gov/pub/data/noaa/isd-lite/). The AERONET AOD data is available\r\nvia NASA GFSC website (https://aeronet.gsfc.nasa.gov/). \n\nThis dataset is associated with the following publication:\nRawat, P., K. Travis, B. Henderson, J. Crawford, L.M. Judd, M.A. Demetillo, T. Lee, D. Flittner, J. Szykman, L. Valin, A. Whitehill, E. Baumann, T. Hanisco, A. Pandey, G. Abad, C. Nowlan, X. Liu, and K. Chance. Spatiotemporal Assessment of the TEMPO Formaldehyde Column Retrieval Using the Pandonia Global Network.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 131(2): e2025JD044788, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532494",
      "keyword": [
        "Geostationary Satellite",
        "atmospheric chemistry",
        "column formaldehyde",
        "pandora"
      ],
      "contactPoint": {
        "fn": "Barron Henderson",
        "hasEmail": "mailto:henderson.barron@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.pandonia-global-network.org",
          "accessURL": "https://www.pandonia-global-network.org",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "accessURL": "https://www.epa.gov/hesc/remote-sensing-information-gateway",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://search.earthdata.nasa.gov/",
          "accessURL": "https://search.earthdata.nasa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://aeronet.gsfc.nasa.gov/",
          "accessURL": "https://aeronet.gsfc.nasa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-31",
      "references": [
        "https://doi.org/10.1029/2025jd044788"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-135.0 18.0, -55.0 18.0, -55.0 55.0, -135.0 55.0, -135.0 18.0))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Temporal_mismatch",
      "description": "Temporal_mismatch. This dataset is not publicly accessible because: Property of the University of NC Institute for Marine Sciences. It can be accessed through the following means: Data are available for multiple purposes through HydroShare http://www.hydroshare.org/resource/671fefb82cc94504a6734717d8aae48d. Format: YSI sonde data owned and operated by UNC IMS. \n\nThis dataset is associated with the following publication:\nCronin-Golomb, O., K. Meyers, W. Salls, and B. Schaeffer. Quantifying temporal mismatches in satellite and in-situ data for aquatic environments..   Remote Sensing Letters. Taylor & Francis Group, London,  UK, 17(4): 404-415, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532106",
      "keyword": [
        "algorithm error",
        "temporal mismatch",
        "chlorophyl-a",
        "satellite"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "2025-01-17",
      "references": [
        "https://doi.org/10.1080/2150704x.2026.2644226",
        "https://pasteur.epa.gov/uploads/10.23719/1532106/documents/Cronin_Golomb_data.zip"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vitro Confirmation of Estrogenic and Antiandrogenic Pesticide Bioactivity using Schild Regression Analysis",
      "description": "Experimental results from in vitro analysis for Confirmation of Estrogenic and Antiandrogenic Pesticide Bioactivity using Schild Regression Analysis. \n\nThis dataset is associated with the following publication:\nBoxberger, C., L. Gray, N. Evans, J. Conley, and E. Medlock Kakaley. In Vitro Confirmation of Estrogenic and Antiandrogenic Pesticide Bioactivity using Schild Regression Analysis.   TOXICOLOGY AND APPLIED PHARMACOLOGY. Elsevier B.V., Amsterdam,  NETHERLANDS, 504: 117523, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532483",
      "keyword": [
        "pesticide",
        "bioassay",
        "estrogen",
        "antiandrogen",
        "androgen"
      ],
      "contactPoint": {
        "fn": "Justin Conley",
        "hasEmail": "mailto:conley.justin@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHib_In vitro confirmation of estrogenic and antiandrogenic pesticide bioactivity using schild regression analysis.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532483/SciHib_In%20vitro%20confirmation%20of%20estrogenic%20and%20antiandrogenic%20pesticide%20bioactivity%20using%20schild%20regression%20analysis.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-02",
      "references": [
        "https://doi.org/10.1016/j.taap.2025.117523"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Application of Transcriptomics Concentration-Response Modeling for Prioritization of Contaminants Detected in Tributaries of the North American Great Lakes",
      "description": "Raw data associated with the manuscript titled Application of Transcriptomics Concentration-Response Modeling for Prioritization of Contaminants Detected in Tributaries of the North American Great Lakes (Cavallin et al., 2025). \n\nThis dataset is associated with the following publication:\nCavallin, J., K. Bush, S. Corsi, L. DeCicco, K. Flynn, A. Kasparek, M. Hazemi, E. Maloney, P. Schumann, and D. Villeneuve. Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(5): 1310-1321, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531944",
      "keyword": [
        "transcriptomics",
        "points of departure",
        "Laurentian Great Lakes",
        "concentration-response"
      ],
      "contactPoint": {
        "fn": "Jenna Cavallin",
        "hasEmail": "mailto:cavallin.jenna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/bioproject/",
          "accessURL": "https://www.ncbi.nlm.nih.gov/bioproject/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Cavallin et al_GLRI HTTr 2025_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531944/Cavallin%20et%20al_GLRI%20HTTr%202025_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-06",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf050"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)",
      "description": "Supplementary material and data links for \"Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)\". \n\nThis dataset is associated with the following publication:\nMaloney, E., S. Corsi, M. Pronschinske, L. DeCicco, J. Frisch, N. Fuller, A. Baldwin, K. Kimbrough, M. Edwards, S. Hummel, N. Garcia Reyero, and D. Villeneuve. Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(7): 2048-2069, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-hx44",
      "keyword": [
        "Risk Assessment",
        "legacy contaminants",
        "aquatic toxicity",
        "contaminants of emerging concern"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/erinmmaloney/GreatLakes_Prioritization",
          "accessURL": "https://github.com/erinmmaloney/GreatLakes_Prioritization",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.1093/etojnl/vgae002",
          "accessURL": "https://doi.org/10.1093/etojnl/vgae002",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Great_Lakes_Prioritization_SI_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hx44/Great_Lakes_Prioritization_SI_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Great_Lakes_Prioritization_SI_final.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hx44/Great_Lakes_Prioritization_SI_final.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-28",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf069"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Examining environmental matrix effects on quantitative non-targeted analysis estimates of per- and polyfluoroalkyl substances",
      "description": "Supplementary information for \"Examining environmental matrix effects on quantitative non-targeted analysis estimates of per- and polyfluoroalkyl substances\". \n\nThis dataset is associated with the following publication:\nPu, S., J. McCord, R. Dickman, N. Sayre-Smith, H. Sepman, A. Kruve, D. Aga, and J. Sobus. Examining environmental matrix effects on quantitative non-targeted analysis estimates of per- and polyfluoroalkyl substances.   Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 417(10): 2097-2110, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-5dvh",
      "keyword": [
        "water",
        "Sludge",
        "Uncertainty",
        "Ionization efficiency",
        "Reliability",
        "accuracy"
      ],
      "contactPoint": {
        "fn": "Jon Sobus",
        "hasEmail": "mailto:sobus.jon@epa.gov"
      },
      "distribution": [
        {
          "title": "216_2025_5796_MOESM5_ESM.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5dvh/216_2025_5796_MOESM5_ESM.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
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    {
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        {
          "title": "StreamCat_NonFarm_Fertilizer_1987_2017.parquet.zip",
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      "references": null,
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        "name": "U.S. Environmental Protection Agency",
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      "accessRights": "public"
    },
    {
      "title": "Data repository for: Temperature drives benthic macroinvertebrate distributions across lotic & lentic ecosystems, but responses vary among shared taxa",
      "description": "This repository contains data used to model stream and lake temperatures and benthic macro invertebrate (BMI) assemblages in conterminous US streams and lakes. The code used to generate these data and to model stream/lake temperatures and BMI taxa are available on GitHub: https://github.com/USEPA/bmi_stream_lake_model. ",
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      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
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        "020:00"
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        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-6d13",
      "keyword": [
        "Ecological integrity",
        "LakeCat",
        "biodiversity",
        "lakes",
        "modeling",
        "StreamCat",
        "streams"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "stream_lake_bmi_modeling_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6d13/stream_lake_bmi_modeling_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "stream_lake_temperature_modeling_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6d13/stream_lake_temperature_modeling_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-22",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
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          "bbox": "POLYGON((-126.3003 24.5335, -66.3229 24.5335, -66.3229 49.623, -126.3003 49.623, -126.3003 24.5335))"
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      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/d-6d13/documents/stream_lake_temperature_bmi_modeling_data_dictionary.docx",
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      "accessRights": "public"
    },
    {
      "title": "Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States",
      "description": "Co-authored the review of extreme rainfall methodologies used by USFS. Publiished by USFS. \n\nThis dataset is associated with the following publication:\nMukherjee, S., D. Amatya, A. Jalowska, J. Campbell, S. Johnson, K. Elder, S. Panda, J. Grace, and D. Kikoyo. Comparison of on-site versus NOAA’s extreme precipitation intensity-duration-frequency estimates for six forest headwater catchments across the continental United States.   Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG,  GERMANY, 37: 4051-4070, (2023).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532440",
      "keyword": [
        "Regional frequency analysis",
        "Forest Service experimental forests",
        "headwater catchments",
        "design discharge",
        "road-stream crossing structures",
        "NOAA Atlas 14"
      ],
      "contactPoint": {
        "fn": "Anna Jalowska",
        "hasEmail": "mailto:jalowska.anna@epa.gov"
      },
      "distribution": [
        {
          "title": "https://research.fs.usda.gov/treesearch/66590",
          "accessURL": "https://research.fs.usda.gov/treesearch/66590",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2023-11-30",
      "references": [
        "https://doi.org/10.1007/s00477-023-02495-0"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-125.0 25.0, -66.5 25.0, -66.5 49.5, -125.0 49.5, -125.0 25.0))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Water column toxicity of several DDT congeners to Hyalella azteca, and its implications for contaminated sediment assessment",
      "description": "This dataset is associated with an article submitted for publication in a peer reviewed journal titled \"Water column toxicity of several DDT congeners to Hyalella azteca, and its implications for contaminated sediment assessment\". To inform ecological risk assessment for freshwater sediments, we tested the toxicity of water column exposure to six DDT congeners, specifically the p,p’ (4,4’) forms of DDT, dichlorodiphenyldichloroethylene (DDE), dichlorodiphenyldichloroethane (DDD), and dichlorodiphenylchloroethylene (DDMU), as well as the o,p’ (2,4’) forms of DDT and DDD.  The test organism was the amphipod Hyalella azteca, exposed for 7 days and assessed for changes in survival and growth.  It includes chemical and biological data collected during those tests as well as the results of regression analyses used to calculate of median and 20% effect concentrations for survival and biomass gain. \n\nThis dataset is associated with the following publication:\nMount, D., L. Burkhard, J.R. Hockett, C. Holloway, S. Howe, J. Jenson, S. Kadlec, A. Kasparek, T. Lahren, K. Lott, E. Piasecki, J. Swanson, and L. Votava. Waterborne toxicity of several dichlorodiphenyltrichloroethane congeners to Hyalella azteca and its implications for contaminated sediment assessment.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(3): 728-736, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1529600",
      "keyword": [
        "sediments",
        "DDX",
        "ecological risk",
        "DDMU",
        "DDT",
        "DDD",
        "DDE"
      ],
      "contactPoint": {
        "fn": "Sarah Kadlec",
        "hasEmail": "mailto:kadlec.sarah@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplemental information.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529600/Supplemental%20information.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2023-09-22",
      "references": [
        "https://doi.org/10.1093/etojnl/vgae070"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset and code for journal article: Mangrove areas in the United States likely to be submerged by projected sea level rise",
      "description": "This dataset contains projected area loss of current mangrove areas in the United States and its territories due to sea level rise (SLR). It also contains projections of carbon loss and ecosystem service valuation loss for each given area loss. \n\nThis dataset is associated with the following publication:\nShank, K.I., R.B. Rice, C.P. Weaver, and S.D. LeDuc. Mangrove Areas in the United States Likely to Be Submerged by Projected Sea Level Rise: Declines in Areal Extent, Carbon Sequestration, And Ecosystem Services.   ACS ES&T Water. American Chemical Society, Washington, DC, USA, 6(3): 1592-1600, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532384",
      "keyword": [
        "mangrove ecosystems",
        "sea level rise",
        "Fisheries",
        "biodiversity"
      ],
      "contactPoint": {
        "fn": "Stephen Leduc",
        "hasEmail": "mailto:leduc.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "SI Database for Shank et al_20250623.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532384/SI%20Database%20for%20Shank%20et%20al_20250623.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-23",
      "references": [
        "https://doi.org/10.1021/acsestwater.5c01092"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An Environmental Heath Vocabulary and its Semi-Automated Curation Workflow",
      "description": "Peer-reviewed publication titled \"An Environmental Heath Vocabulary and its Semi-Automated Curation Workflow\". \n\nThis dataset is associated with the following publication:\nAngrish, M., S. Burns, J. Cleland, C. Foster, S. Kovach, K. Markey, B. Schultz, A. Shapiro, M. Taylor, G. Woodall, and S. Watford. An Environmental Health Vocabulary and its Semi-Automated Curation Workflow.   Evidence-Based Toxicology. Taylor & Francis Group, London,  UK, 3(1): 2485111, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532341",
      "keyword": [
        "curation",
        "controlled vocabulary",
        "chemical assessment",
        "interoperability",
        "ontology",
        "systematic review"
      ],
      "contactPoint": {
        "fn": "Sean Watford",
        "hasEmail": "mailto:watford.sean@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.11176258",
          "accessURL": "https://doi.org/10.5281/zenodo.11176258",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        },
        {
          "title": "https://doi.org/10.1080/2833373X.2025.2485111",
          "accessURL": "https://doi.org/10.1080/2833373X.2025.2485111",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-03-20",
      "references": [
        "https://doi.org/10.1080/2833373x.2025.2485111"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "In Vitro Screening for ToxCast Chemicals Binding to Thyroxine-Binding Globulin",
      "description": "Supporting Information for \"In Vitro Screening for ToxCast Chemicals Binding to Thyroxine-Binding Globulin\". \n\nThis dataset is associated with the following publication:\nEytcheson, S., A. Zosel, J. Olker, M. Hornung, and S. Degitz. In Vitro Screening for ToxCast Chemicals Binding to Thyroxine-Binding Globulin.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 37(10): 1660-1669, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-bh95",
      "keyword": [
        "screening",
        "transthyretin",
        "endocrine disruption",
        "NAMs",
        "in vitro",
        "thyroid"
      ],
      "contactPoint": {
        "fn": "Sigmund Degitz",
        "hasEmail": "mailto:degitz.sigmund@epa.gov"
      },
      "distribution": [
        {
          "title": "tx4c00183_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bh95/tx4c00183_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "tx4c00183_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bh95/tx4c00183_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-09-05",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.4c00183"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Evaluating pathogen modeling approaches for microbial risk assessment of stormwater in recreational and reuse contexts",
      "description": "All data presented in the associated manuscript, see readme tab for description and Data Dictionary. \n\nThis dataset is associated with the following publication:\nLaiveling, A., C. Wiesner-Friedman, and M. Jahne. Evaluating pathogen modeling approaches for microbial risk assessment of stormwater in recreational and reuse contexts.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS,  181630, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532230",
      "keyword": [
        "QMRA",
        "recreational water",
        "Microbial Source Tracking",
        "Risk Assessment",
        "water reuse"
      ],
      "contactPoint": {
        "fn": "Michael Jahne",
        "hasEmail": "mailto:jahne.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "Laivelingetal_stormwaterQMRA_Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532230/Laivelingetal_stormwaterQMRA_Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-11",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2026.181630"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie",
      "description": "Supplemental material for \"Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie\". \n\nThis dataset is associated with the following publication:\nBenesh, K., A. Banerji, S. Ludsin, T. Jicha, P. Collingsworth, A. Fosso, W. Currie, J. Hood, M. Manubolu, L. Rudstam, J. Watkins, and J. Hoffman. Stable isotopes reveal an imprint of harmful algal blooms on Lake Erie.   Aquatic Ecosystem Health and Management. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(1): 51-66, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-k3k1",
      "keyword": [
        "Particulate Organic Matter",
        "biogeochemistry",
        "eutrophication",
        "cyanobacteria",
        "Cooperative Science Monitoring Initiative",
        "Great Lakes"
      ],
      "contactPoint": {
        "fn": "Aabir Banerji",
        "hasEmail": "mailto:banerji.aabir@epa.gov"
      },
      "distribution": [
        {
          "title": "Supplementary material.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-k3k1/Supplementary%20material.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-16",
      "references": [
        "https://doi.org/10.14321/aehm.028.01.51"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Ambient air quality data set for the Puente Jobos, Puerto Rico study",
      "description": "Air quality sensor and filter data from Puente Jobos, Puerto Rico during 2023 and 2024. Data set includes data used to generate figures in the manuscript, hourly sensor data, and daily sensor and filter data. \n\nThis dataset is associated with the following publication:\nHolder, A., S. Pender, G. Lau, M. Landis, M. Colón, F. Nojavan Asghari, K. Kovalcik, G. Norris, and G. Hagler. Estimating Variation and Sources of Dust in Puente Jobos, Puerto Rico, Using a PM10 Sensor Network.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 3(4): 990–1003, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-893g",
      "keyword": [
        "Coarse Particulate Matter",
        "positive matrix factorization",
        "low cost sensors"
      ],
      "contactPoint": {
        "fn": "Amara Holder",
        "hasEmail": "mailto:holder.amara@epa.gov"
      },
      "distribution": [
        {
          "title": "Sensor_data.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-893g/Sensor_data.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sensor_daily.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-893g/Sensor_daily.csv",
          "mediaType": "text/csv",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Sciencehub_dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-893g/Sciencehub_dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-01-23",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00393"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-66.2713 17.9017, -66.103 17.9017, -66.103 17.9948, -66.2713 17.9948, -66.2713 17.9017))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Puente_Jobos_School_PM10_FRM_analysis_data_2023_08_16_to_2024_03_12",
      "description": "PM10 FRM mass concentration, optical carbon, and acid extractable elemental analysis results are included in data file. Samples were collected every day from August 16, 2023 to March 12, 2024. Positive Matrix Factorization (PMF) model input files extracted from the master file and formatted for direct ingestion are also attached. \n\nThis dataset is associated with the following publication:\nHolder, A., S. Pender, G. Lau, M. Landis, M. Colón, F. Nojavan Asghari, K. Kovalcik, G. Norris, and G. Hagler. Estimating Variation and Sources of Dust in Puente Jobos, Puerto Rico, Using a PM10 Sensor Network.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 3(4): 990–1003, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-jsz8",
      "keyword": [
        "air quality",
        "Puerto Rico",
        "PM10",
        "HR-ICPMS",
        "Positive matrix factorization (PMF)"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "PR_FRM_sciencehub_w_metadata_2026_02_05.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jsz8/PR_FRM_sciencehub_w_metadata_2026_02_05.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-05",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00393",
        "https://pasteur.epa.gov/uploads/10.23719/d-jsz8/documents/PR_PMF_ICPMS_unc_data.csv",
        "https://pasteur.epa.gov/uploads/10.23719/d-jsz8/documents/PR_PMF_ICPMS_conc_data_raw.csv"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment",
      "description": "Dataset for \"Schaupp CM, Byrne G, Chan M, Haggard DE, Hazemi M, Jankowski MD, LaLone CA, LaTier A, Mattingly KZ, Olker JH, Renner J, Sharma B, Villeneuve DL. An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment. Integr Environ Assess Manag. 2024 May 16. doi: 10.1002/ieam.4945. Epub ahead of print. PMID: 38752675.\". \n\nThis dataset is associated with the following publication:\nSchaupp, C., G. Byrne, M. Chan, D. Haggard, M. Hazemi, M. Jankowski, C. LaLone, A. LaTier, K. Mattingly, J. Olker, J. Renner, B. Sharma, and D. Villeneuve. An automated computational data pipeline to rapidly acquire, score, and rank toxicological data for ecological hazard assessment.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(6): 2203-2217, (2024).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531459",
      "keyword": [
        "computational toxicology",
        "ecotoxicology",
        "new approach methodologies",
        "Risk Assessment"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Generated ToxCast and QSAR Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Generated%20ToxCast%20and%20QSAR%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplementary Text.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Supplementary%20Text.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Supplemental Figures.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531459/Supplemental%20Figures.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-04-24",
      "references": [
        "https://doi.org/10.1002/ieam.4945"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Accelerated transcriptomic age and susceptibility to traffic-related air pollution among cardiac catheterization patients",
      "description": "Background: Accelerated transcriptomic and/or epigenetic age have been proposed as biomarkers of disrupted systemic health and of increased sensitivity to environmental exposures. Previously, we observed epigenetic age acceleration as a biomarker of sensitivity to air pollution, especially for traffic-related air pollution (TRAP) in urban cohorts.\n\nMethods: Using 1024 participants from the CATHGEN cohort, we evaluated whether increased cardiovascular risk associated with TRAP was modified by transcriptomic aging. Residential proximity to major roadways was the measure of TRAP and peripheral arterial disease (PAD) and blood pressure were outcomes. Blood-based gene expression-based age acceleration (GEXAge AAD) and Horvath epigenetic age acceleration (DNAmAge AAD) were measures of age acceleration, and models were adjusted for chronological age, race, sex, smoking, socioeconomic status, body mass index, hyperlipidemia, and diabetes.\n\nResults: We observed significant interactions between TRAP and GEXAge AAD and DNAmAge AAD, but these interactions were weaker than in previous analyses including only urban communities. Constraining the cohort to those residing in more urban environments strengthened the interaction between GEXAge AAD and TRAP. Interactions indicated that increased transcriptomic or epigenetic age elevated associations between proximity to roadways and PAD; the strongest interactions were identified in individuals with both accelerated epigenetic and transcriptomic age. Exploratory sex-stratified analyses identified potentially stronger associations in males, but these results would require further validation in larger studies.\n\nConclusion: Similar to epigenetic age, elevated transcriptomic age may be an indicator of increased TRAP sensitivity. Individuals with jointly elevated epigenetic and transcriptomic age may have greater environmental health risks than those with elevated transcriptomic age alone. This dataset is not publicly accessible because: It is Duke University data. It can be accessed through the following means: Contact Lydia Kwee at Duke University. Format: Data is available at Duke University. \n\nThis dataset is associated with the following publication:\nJackson, T., L. Kwee, S. Shah, E. Hauser, W. Kraus, and C. Ward-Caviness. Accelerated transcriptomic age and susceptibility to traffic-related air pollution among cardiac catheterization patients.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 999: 180293, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-fw62",
      "keyword": [
        "DNA methylation",
        "traffic air pollution",
        "gene expression",
        "Aging"
      ],
      "contactPoint": {
        "fn": "Thomas Jackson",
        "hasEmail": "mailto:jackson.thomas@epa.gov"
      },
      "distribution": [],
      "modified": "2025-10-25",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2025.180293"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "LakeCatNNI Data Repository for article titled StreamCatNNI and LakeCatNNI: Watershed and Local Catchment Nitrogen and Phosphorus Budgets for U.S. Waters",
      "description": "Spatially explicit nutrient budgets are critical for managing nutrients and improving water quality. Yet, these budgets are resource-intensive to develop at the scales and extents needed for achieving management goals. In this paper we introduce StreamCatNNI and LakeCatNNI, an integration of the United States Environmental Protection Agency's (USEPA) Next Generation National Nutrient Inventory (NNI) with the StreamCat database. The NNI provides 30-year annual time-series (1987-2017) of nitrogen (N) and phosphorus (P) budgets for US counties. The NNI's integration with StreamCat yields watershed and local catchment N and P budgets for ~2.64 million stream segments and 378,088 lakes. These budgets contain major anthropogenic and natural inputs, outputs, agricultural surplus, and legacy agricultural surplus for N and P. StreamCatNNI and LakeCatNNI data were calculated using 1) a tabular dasymetric apportionment process to downscale NNI nutrient data to local drainages, then 2) the StreamCat accumulation framework to derive watershed nutrient budgets. StreamCatNNI and LakeCatNNI data underwent a variety of spatial quality assurance evaluations, and workflow components are publicly available for replication. This repository contains LakeCatNNI data. A second repository is maintained for StreamCatNNI.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-hznj",
      "keyword": [
        "LakeCat",
        "Nitrogen Inputs",
        "NHDPlus version 2.1",
        "StreamCat",
        "Phosphorus Inputs",
        "National Nutrient Inventory"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "LakeCatNNI-Data-Dictionary.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCatNNI-Data-Dictionary.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_USGS_Point_Source_Loads_1978_2012.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_USGS_Point_Source_Loads_1978_2012.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Total_P_Deposition_1997_2013.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Total_P_Deposition_1997_2013.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Total_Inputs_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Total_Inputs_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Total_Deposition_1990_2016.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Total_Deposition_1990_2016.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_NonFarm_Fertilizer_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_NonFarm_Fertilizer_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Manure_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Manure_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Livestock_Waste_Recovered_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Livestock_Waste_Recovered_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Legacy_Agricultural_Surplus_Hydrologic_Modeling_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Legacy_Agricultural_Surplus_Hydrologic_Modeling_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Legacy_Agricultural_Surplus_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Legacy_Agricultural_Surplus_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Human_Waste_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Human_Waste_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Farm_Fertilizer_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Farm_Fertilizer_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Crop_Removal_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Crop_Removal_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Crop_NFixation_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Crop_NFixation_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Agricultural_Surplus_Hydrologic_Modeling_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Agricultural_Surplus_Hydrologic_Modeling_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LakeCat_Agricultural_Surplus_1987_2017.parquet.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/LakeCat_Agricultural_Surplus_1987_2017.parquet.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-06",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-126.7801 24.6042, -65.6553 24.6042, -65.6553 49.751, -126.7801 49.751, -126.7801 24.6042))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/d-hznj/documents/LakeCatNNI-Data-Dictionary.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "2023-2025 Grand Lake St. Marys field parameters",
      "description": "This Dataset includes the spatial and temporal measurements of water quality probe parameters taken in the field within the canal and river system of St. Mary's, OH for the years 2023-2025.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-6m9c",
      "keyword": [
        "cyanobacteria",
        "environmental parameters",
        "HABs",
        "water quality"
      ],
      "contactPoint": {
        "fn": "Morgan McNeely",
        "hasEmail": "mailto:mcneely.morgan@epa.gov"
      },
      "distribution": [
        {
          "title": "Revised Sci Hub 2023-2025 GLSM Field Parameters.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6m9c/Revised%20Sci%20Hub%202023-2025%20GLSM%20Field%20Parameters.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-14",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-84.4262 40.5094, -84.3712 40.5094, -84.3712 40.6165, -84.4262 40.6165, -84.4262 40.5094))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Computational new approach methods guide focused testing and enhance understanding of chlorantraniliprole toxicity across species",
      "description": "Supplementary data from \"Computational new approach methods guide focused testing and enhance understanding of chlorantraniliprole toxicity across species\". \n\nThis dataset is associated with the following publication:\nBrickley, M., L. Glimsdal, A. Johnson, E. Stacy, K. Santana Rodriguez, K. Mattingly, D. Villeneuve, R. Hockett, B. Blackwell, J. Cavallin, and C. LaLone. Computational new approach methods guide focused testing and enhance understanding of chlorantraniliprole toxicity across species.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(9): 2557-2567, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-6bvc",
      "keyword": [
        "SeqAPASS",
        "resistance mutation",
        "Diamide",
        "New Approach Methodologies (NAMs)",
        "Species Extrapolation"
      ],
      "contactPoint": {
        "fn": "Carlie LaLone",
        "hasEmail": "mailto:lalone.carlie@epa.gov"
      },
      "distribution": [
        {
          "title": "vgae057_supplementary_data.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-6bvc/vgae057_supplementary_data.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-11-06",
      "references": [
        "https://doi.org/10.1093/etojnl/vgae057"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Effects of FC10-diol on Reproductive Endocrinology and Function in the Fathead Minnow (Pimephales promelas)",
      "description": "This dataset contains data generated from a study evaluating the effects of 1H,1H,10H,10H-perfluorodecane-1,10-diol (FC10-diol), in a multi-endpoint reproduction assay with the fathead minnow designed specifically for endocrine-disrupting chemicals. Fish were exposed for 21 d to five water concentrations of FC10-diol ranging from 0.68 to 68 µg/L, as well as 17β-estradiol (15 ng/L) as a positive control. The FC10-diol produced a suite of responses in both males and female fish that were indicative of a classical estrogen-receptor (ER) agonist, including significant effects on reproduction. Responses in males included changes in expression of four hepatic genes controlled by ER, induction of plasma vitellogenin (VTG), decreased expression of male secondary sexual characteristics, histopathological changes in the testis and kidney, and mortality in the highest FC10-diol treatment group. Effects in females from the high treatment group included altered ovarian expression of genes involved in steroid synthesis, decreased plasma steroids, elevated plasma VTG, and histological changes in the ovary and kidney. \n\nThis dataset is associated with the following publication:\nAnkley, G., K. Jensen, J. Cavallin, C. Baettig, S. Balgooyen, B. Blackwell, C. Blanksma, J. Collins, M. Ellman, J. Hoang, M. Kahl, K. Santana-Rodriguez, C. Schaupp, E. Stacy, and D. Villeneuve. Effects of a novel estrogenic perfluoroalkyl substance on reproductive endocrinology and function in the fathead minnow (Pimephales promelas).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(3): 786-801, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531979",
      "keyword": [
        "toxicity",
        "fish",
        "PFAS",
        "endocrine"
      ],
      "contactPoint": {
        "fn": "Kathleen Jensen",
        "hasEmail": "mailto:jensen.kathleen@epa.gov"
      },
      "distribution": [
        {
          "title": "FC10-diol Reproduction Study_Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531979/FC10-diol%20Reproduction%20Study_Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-04",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf006"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distributed and managed sinkhole recharge in karst terrain ",
      "description": "This dataset can be used to produce soil infiltration estimates for the general vicinity of a small hydrologic catchment in the vicinity of Fittstown, Oklahoma. ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-16nf",
      "keyword": [
        "double-ring infiltrometer",
        "Minidisk",
        "TDR probe",
        "groundwater elevation"
      ],
      "contactPoint": {
        "fn": "Lee Rhea",
        "hasEmail": "mailto:rhea.lee@epa.gov"
      },
      "distribution": [
        {
          "title": "EAR - Double Ring Infiltrometers 2023 02 28 - Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-16nf/EAR%20-%20Double%20Ring%20Infiltrometers%202023%2002%2028%20-%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EAR - TDR - 2025 09 09 - Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-16nf/EAR%20-%20TDR%20-%202025%2009%2009%20-%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EAR well hydrographs - 2025 09 13 - Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-16nf/EAR%20well%20hydrographs%20-%202025%2009%2013%20-%20Science%20Hub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "EAR - Minidisk - All ws - 2026 03 10 - Science Hub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-16nf/EAR%20-%20Minidisk%20-%20All%20ws%20-%202026%2003%2010%20-%20Science%20Hub.xlsx",
          "mediaType": "application/x-tika-ooxml",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-03-31",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/d-16nf/documents/EAR%20-%20Minidisk%20-%20All%20ws%20-%202026%2003%2010%20-%20Science%20Hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/d-16nf/documents/EAR%20-%20Double%20Ring%20Infiltrometers%202023%2002%2028%20-%20Science%20Hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/d-16nf/documents/EAR%20-%20TDR%20-%202025%2009%2009%20-%20Science%20Hub.xlsx",
        "https://pasteur.epa.gov/uploads/10.23719/d-16nf/documents/EAR%20well%20hydrographs%20-%202025%2009%2013%20-%20Science%20Hub%20-%20Copy.xlsx"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-96.6626 34.5848, -96.6042 34.5848, -96.6042 34.6276, -96.6626 34.6276, -96.6626 34.5848))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Transcriptomic response of an algal species (Raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances",
      "description": "Supplementary data for \"Transcriptomic response of an algal species (Raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances\". Portions of this dataset are inaccessible because: N/A. They can be accessed through the following means: N/A. Format: Raw FASTQ files, raw count matrix files, and normalized expression count matrices have been submitted to the Gene Expression Omnibus (Accession GSE269539). \n\nThis dataset is associated with the following publication:\nFlynn, K., K. Bush, J. Cavallin, M. Hazemi, A. Kasparek, P. Schumann, and D. Villeneuve. Transcriptomic response of an algal species (Raphidocelis subcapitata) exposed to 22 per- and polyfluoroalkyl substances.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 44(4): 995-1006, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-2z7t",
      "keyword": [
        "aquatic toxicology",
        "point of departure",
        "PFAS",
        "Algae",
        "transcriptomics"
      ],
      "contactPoint": {
        "fn": "Kevin Flynn",
        "hasEmail": "mailto:flynn.kevin@epa.gov"
      },
      "distribution": [
        {
          "title": "vgaf022_supplementary_data.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2z7t/vgaf022_supplementary_data.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2024-12-12",
      "references": [
        "https://doi.org/10.1093/etojnl/vgaf022"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting the identification of pesticides and transformation products in surface and groundwater surrounding a closed bioethanol production facility using non-targeted analysis",
      "description": "This data set includes supporting data used to identify 36 pesticides and transformation products (TPs) in surface and groundwater surrounding a defunct bioethanol production facility. The facility had stored and processed pesticide-treated seeds as bioethanol feedstock, which resulted in significant releases of pesticides to the surrounding environment. Surface water and groundwater samples collected in 2021, 2023, and 2024 were analyzed with a non-targeted analysis (NTA) workflow using liquid chromatography and time of flight mass spectrometry (LC-Q-ToF) to identify any chemicals present that were amendable to the methods used. Sixteen pesticides, 21 TPs, and a few select other chemicals were detected with NTA. Semi-quantitative analysis was used to provide estimated concentrations of identified pesticide transformation products present in all samples analyzed. \n\nThis dataset is associated with the following publication:\nBatt, A., L. Brunelle, E. Stebel, D. Snow, E. Mutlu, A. Williams, G. Janesch, C. Tebes-Stevens, T. Ferland, S. Bartelt-Hunt , and J. Wu-Smart. Identification of pesticides and transformation products in surface and groundwater surrounding a closed bioethanol production facility using non-targeted analysis - Journal Article.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 386: 127105, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532062",
      "keyword": [
        "Agricultural Pesticide",
        "Environmental Transformation Product",
        "surface water",
        "groundwater",
        "non-targeted analysis (NTA)"
      ],
      "contactPoint": {
        "fn": "Angela Batt",
        "hasEmail": "mailto:batt.angela@epa.gov"
      },
      "distribution": [
        {
          "title": "UNL-EPA-CRADA-NTA-MetaData-forwater.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532062/UNL-EPA-CRADA-NTA-MetaData-forwater.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-03-07",
      "references": [
        "https://doi.org/10.1016/j.envpol.2025.127105"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFAS Quantitation with Diffusive Gradients in Thin-Film Passive Samplers: Capturing Time-Weighted Average Concentrations Around Current Maximum Contaminant Levels",
      "description": "Data is for manuscript entitled \"PFAS Quantitation with Diffusive Gradients in Thin-Film Passive Samplers: Capturing Time-Weighted Average Concentrations Around Current Maximum Contaminant Levels\". This dataset is not publicly accessible because: The data was not generated by EPA.  It can be accessed by contacting the corresponding author. It can be accessed through the following means: Contact the manuscript corresponding author: Julian L. Fairey at julianf@uark.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nHarris, B., S. Hodges, D. Wahman, L. Haupert, J. Chimka, and J. Fairey. PFAS Quantitation with Diffusive Gradients in Thin-Film Passive Samplers: Capturing Time-Weighted Average Concentrations Around Current Maximum Contaminant Levels to Facilitate Compliance.   Environmental Science: Advances. Royal Society of Chemistry, London,  UK, 300: 125918, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532424",
      "keyword": [
        "finite difference method",
        "time weighted average",
        "diffusion",
        "Environmental sampling"
      ],
      "contactPoint": {
        "fn": "David Wahman",
        "hasEmail": "mailto:wahman.david@epa.gov"
      },
      "distribution": [],
      "modified": "2025-07-16",
      "references": [
        "https://doi.org/10.1016/j.watres.2026.125918"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Nitrogen-Stable Isotope Indicators for Predicting Low Gradient Coastal Stream Condition Data Set",
      "description": "This research focused on developing and evaluating nitrogen-stable isotope condition assessment bioindicators and monitoring methods for low gradient coastal stream systems to assist states in assessing the condition of low-gradient coastal systems. Low-gradient coastal stream systems support important landscape level ecological functions by connecting uplands and marshes directly to large tidal rivers, estuaries, and coastal waterbodies. In this study we develop and evaluate innovative monitoring and assessment methods to support biological indicator development for waterbody types and taxa that lack nationally consistent and reliable approaches. Low-gradient tidal and non-tidal coastal stream systems are infrequently included in national and regional monitoring programs and may require different methods than freshwater streams (US EPA National River and Streams Assessment) or large tidal rivers (US EPA National Coastal Condition Assessment). Results from this study demonstrate that stable isotopes of nitrogen (δ15N) bioindicators from a variety of biotic trophic levels can be used as an efficient and effective rapid monitoring tool for assessing biotic condition in low gradient coastal systems. These stable isotope indicators also provide empirical field measurements for ground-truthing national indices which are derived from remotely sensed national landscape data layers. The δ15N biotic responses were consistently significant across all trophic levels and negatively correlated with landscape level stressor exposure conditions reflected in the national and regional scale indices. Verifying national multiscale indices with site-scale field measured bioindicators (δ15N) provides coastal managers, states, tribal, regional, and local watershed organizations confidence in using these national indices at local watershed and catchment scales for identifying and prioritizing protection for healthy coastal stream networks and watersheds, as well as targeting critical functional elements of watersheds for restoration efforts. \n\nThis dataset is associated with the following publication:\nKuhn, A., M. Schwartz, J. Serbst, J. Lake, L. Coiro, and M. Charpentier. Ground truthing national multiscale landscape indices with nitrogen-stable isotopes for low-gradient coastal stream ecosystems.   ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 198: 339, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532411",
      "keyword": [
        "nitrogen stable isotopes",
        "low-gradient streams",
        "Index of Catchment Integrity",
        "Index of Watershed Integrity",
        "low-gradient multimetric index",
        "StreamCat",
        "probability of good stream condition"
      ],
      "contactPoint": {
        "fn": "Anne Kuhn-Hines",
        "hasEmail": "mailto:kuhn.anne@epa.gov"
      },
      "distribution": [
        {
          "title": "Total Combined ISO Graphs.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532411/Total%20Combined%20ISO%20Graphs.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "LowGradient_Indices_SupplementalDATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532411/LowGradient_Indices_SupplementalDATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": [
        "https://doi.org/10.1007/s10661-026-15185-5",
        "https://pasteur.epa.gov/uploads/10.23719/1532411/documents/LowGradient%20SampleSiteMap.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-72.1131 41.3315, -70.6954 41.3315, -70.6954 42.4444, -72.1131 42.4444, -72.1131 41.3315))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Comparison of Transcriptomic Points of Departure (tPOD) with Apical Endpoints in Developing Zebrafish Exposed to PFOS, PFOA, or PFHxS",
      "description": "Comparison of Transcriptomic Points of Departure (tPOD) with Apical Endpoints in Developing Zebrafish Exposed to PFOS, PFOA, or PFHxS.  \nProvides full name, abbreviation, and identifiers for the PFAS tested in this study\nProvides the 14 zebrafish developmental exposure windows, and timepoints of morphological and behavior endpoint characterization, and RNA collection for transcriptomics; Figure 1 in manuscript\nExposure verification data for the three PFAS and all exposure windows; Table 1 and Supplementary Table 1 in manuscript\nDevelopmental toxicity data for the three PFAS, DMSO, and Chlorpyrifos; Figures 2, 3, 5, and Supplementary Figures S1, S2, S5, S6 in manuscript\nData for length measurements of fish at 96, 120, and 144 hpf exposed to DMSO, PFOS, PFOA, or PFHxS from 6, 24, 48, or 96 hpf; Figure 2 and Supplmentary Figures S3, S7 in manuscript\nDistance moved (mm) in a 120-hpf-behavior assay with two alternating dark-light cycles for fish exposed to DMSO, PFOS, PFOA, or PFHxS from 6, 24, 48 or 96 hpf; Figures 2, 3, 5 and Supplementary Figures S4, S8 in manuscript\nStatistical summary of developmental toxicity data for the three PFAS when exposure started at 6, 24, 48, or 96 hpf; Figure 2 in manuscript\nBenchmark concentrations derived for mortality, swim bladder (SB) inflation, length, and behavior, and associated upper (BMCU) and lower (BMCL) 95% confidence limits, with BMCLs designated as the aPODs; Figures 3 and 5 in manuscript\nLinks to the public repositories where raw RNAseq data (FASTQ format), processed and normalized counts, and associated sample meta-data can be obtained; Figures 4 , 5,  6 in manuscript\nTrancriptomic-based points of departure and concentration responsive gene counts for developing zebrafish after seven PFAS exposure windows, and tPODs from previous published Daphnia magna and fathead minnow literature;  Table 2 and Figures 4,5, and 6 in manuscript \nParameters used to query the ECOTOX knowledgebase for zebrafish records for the tested PFAS; Figure 6 and Supplementary Methods SM.2. in manuscript\nFull listing of ECOTOX records retrieved using search parameters defined in ECOTOX-search including citations for PFOS\nFull listing of ECOTOX records retrieved using search parameters defined in ECOTOX-search including citations for PFOA\nFull listing of ECOTOX records retrieved using search parameters defined in ECOTOX-search including citations for PFHxS. \n\nThis dataset is associated with the following publication:\nShankar, P., M. Hazemi, K. Mattingly, M.J. See, M. Bell, M. Ellman, J. Cavallin, S. Lasee, B. Blackwell, S. Vliet, A. Biales, C. LaLone, and D. Villeneuve. Comparison of transcriptomic points of departure with apical endpoints in developing zebrafish exposed to PFOS, PFOA, or PFHxS.   TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA,  206(1): 134-146, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531975",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "high throughput transcriptomics",
        "zebra fish",
        "new approach methodologies"
      ],
      "contactPoint": {
        "fn": "Daniel Villeneuve",
        "hasEmail": "mailto:villeneuve.dan@epa.gov"
      },
      "distribution": [
        {
          "title": "Zebrafish PFAS tPOD study_Science Hub_2025FEB03_MH_Final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1531975/Zebrafish%20PFAS%20tPOD%20study_Science%20Hub_2025FEB03_MH_Final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-02-03",
      "references": [
        "https://doi.org/10.1093/toxsci/kfaf047"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity",
      "description": "Supporting information for \"Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity\". \n\nThis dataset is associated with the following publication:\nCharest, N., G. Sinclair, S. Eytcheson, D. Chang, T. Martin, C. Lowe, K. Friedman, and A. Williams. Combined In Vitro and In Silico Workflow to Deliver Robust, Transparent, and Contextually Rigorous Models of Bioactivity.   Journal of Chemical Information and Modeling. American Chemical Society, Washington, DC, USA, 65(9): 4426-4441, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-8fr8",
      "keyword": [
        "Bioinformatics and computational biology",
        "Mathematical methods",
        "Assays",
        "molecular modeling",
        "Theoretical models"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "ci5c00713_si_004.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_004.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ci5c00713_si_003.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_003.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ci5c00713_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_002.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ci5c00713_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8fr8/ci5c00713_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-15",
      "references": [
        "https://doi.org/10.1021/acs.jcim.5c00713"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summary Spreadsheet",
      "description": "Spreadsheet summarizing data used to prepare figures in main body of manuscript.\n\nNote that an additional spreadsheet (the \"SI Summary Spreadsheet\") will be published alongside the manuscript and made available for free which includes tabs detailing the following content: Compound Metadata, Canister Sample Concentrations, and Wind Direction Bin-wide Median Concentrations. Since this spreadsheet will be free/open-access (since SI material), it is not included here. Please review the manuscript on the ACS ES&T Air website to access it. \n\nThis dataset is associated with the following publication:\nChampion, W., M. MacDonald, B. Thomas, J. Carpenter, I. George, and E. Thoma. Assessing Above-Ground Fuel Storage Tank Emissions Using Lower-Cost Sensor Packages and Triggered Canister Samples.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 3(4): 934-942, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-698b",
      "keyword": [
        "emissions",
        "Oil and Gas",
        "Air monitoring",
        "air pollution",
        "low cost sensors",
        "energy"
      ],
      "contactPoint": {
        "fn": "Wyatt Champion",
        "hasEmail": "mailto:champion.wyatt@epa.gov"
      },
      "distribution": [
        {
          "title": "Fuel Tank Study - Science Hub Spreadsheet.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-698b/Fuel%20Tank%20Study%20-%20Science%20Hub%20Spreadsheet.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-03-18",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00280",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13094822"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.9311 36.0688, -79.9176 36.0688, -79.9176 36.0787, -79.9311 36.0787, -79.9311 36.0688))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas Dataset",
      "description": "The dataset used for the analysis in the publication, Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas (DOI: https://doi.org/10.1016/j.envint.2025.110022). \n\nAbstract\nExposure to excess heat is linked to increased risks of cardiovascular diseases (CVD). As temperatures increase globally, it is crucial to examine the potential increase in excess heat-related CVD (xHEAT-CVD) burden to inform strategies for adaptation. This study aimed to identify the contextual factors associated with future xHEAT-CVD burden among older adults across eighty U.S. metropolitan statistical areas (MSAs).\nThe MSA-specific xHEAT-CVD risk for adults ≥ 65 years was estimated using hospitalization and temperature data from 2000 to 2017, with excess heat defined as temperatures above the minimum hospitalization percentile (TMHP). Future xHEAT-CVD hospitalizations were estimated using temperature projections for 2025–2054, 2045–2074, and 2070–2099 under three climate scenarios. Area-level variables were used to identify demographic and economic status, health, environment, and infrastructure contexts and derive Urban Heat Health Risk (UHHR) scores using confirmatory factor analysis. The associations between adaptive capacity (the UHHR scores) and future xHEAT-CVD burden were examined.\nIn 2070–2099 under the mildest scenario, 36 more days annually were projected to be ≥ TMHP, and xHEAT-CVD burden was projected to increase by at least 20.4-fold. Lower adaptive capacity was associated with greater increases in future xHEAT-CVD burden, over 9-fold increase per 1-unit increase in UHHR score (9.1, 95 % Confidence Intervals: 2.8–15.4). The historical xHEAT-CVD burden (2000–2017) was largely driven by the health context, whereas environment played a more important role in the future.\nOur findings suggest that drivers of the xHEAT-CVD burden may vary across time. Targeting the areas with the highest xHEAT-CVD burden at varying timeframes can help mitigate xHEAT-CVD burden more effectively. \n\nThis dataset is associated with the following publication:\nTsai, W., M. Mcinroe, A. Jalowska, C. Keeler, S. Cleland, C. O'Lenick, T. Spero, A. Schneider, and A. Rappold. Characterizing Adaptive Capacity for the Future Heat-Related Cardiovascular Morbidity Burden in U.S. Metropolitan Areas.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS, 207: 110022, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-c304",
      "keyword": [
        "extreme heat",
        "CVD",
        "Temperature projection",
        "health burden",
        "Adaptive Capacity",
        "Medicare",
        "LOCA",
        "cardiovascular diseases",
        "heat-health"
      ],
      "contactPoint": {
        "fn": "Wei-Lun Tsai",
        "hasEmail": "mailto:tsai.wei-lun@epa.gov"
      },
      "distribution": [
        {
          "title": "xHEATCVD_UHHR_AllVars.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-c304/xHEATCVD_UHHR_AllVars.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-04",
      "references": [
        "https://doi.org/10.1016/j.envint.2025.110022"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-126.6019 24.8809, -65.9041 24.8809, -65.9041 49.6091, -126.6019 49.6091, -126.6019 24.8809))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Magnuson et al data compilation",
      "description": "Numerical data corresponding to figures in manuscript. \n\nThis dataset is associated with the following publication:\nMagnuson, M., T. Sleight, and W. Harper. Remediating and reducing the environmental impact of fire suppression systems contaminated with per- and polyfluoroalkyl substances: Perspectives on current guidelines.   Fire Safety Journal. Elsevier B.V., Amsterdam,  NETHERLANDS, 163: 104811, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-v8kf",
      "keyword": [
        "homelad security",
        "PFAS",
        "Decontamination",
        "water security",
        "treatment",
        "AFFF"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "Magnuson et al data compilation_.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v8kf/Magnuson%20et%20al%20data%20compilation_.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-04-13",
      "references": [
        "https://doi.org/10.1016/j.firesaf.2026.104811"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "data-for-Hensley-et-al-2026-paper",
      "description": "Numerical data corresponding to figures. \n\nThis dataset is associated with the following publication:\nHensley, J., J. Das Schober, M. Magnuson, and W. Harper. Powdered Activated Carbon Treatment of PFAS-Containing Washwater From Aircraft Hangar Pipe Rinsing.   Remediation Journal. John Wiley & Sons, Inc., Hoboken, NJ, USA, 36(2): e70065, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-gj7g",
      "keyword": [
        "PFAS",
        "water security",
        "Decontamination",
        "treatment",
        "homeland security",
        "Powdered Activated Carbon"
      ],
      "contactPoint": {
        "fn": "Matthew Magnuson",
        "hasEmail": "mailto:magnuson.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "data-for-Hensley-et-al-2026-paper_.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-gj7g/data-for-Hensley-et-al-2026-paper_.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-04-13",
      "references": [
        "https://doi.org/10.1002/rem.70065"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Lung Function and Inflamm 0.07 ppm Ozone - METADATA",
      "description": "The metadata provided in this entry highlights controlled exposure of healthy young adults to 0.07 ppm ozone for 6.6 hours which causes pulmonary function decline (decreased FEV1/FVC) and increased airway inflammation (%PMN neutrophils) compared to clean air. This study also indicates these effects are accompanied by increased respiratory symptoms, highlighting the effects of prolonged exposure at current air quality standards. \n\nThis dataset is associated with the following publication:\nPennington, E., J. Pulczinski, M. Case, J. Griffin, N. Alexis , C. Robinette, A. Chelminski, A. Davis, N. Miller, A. Ghio, D. Diazsanchez, and A. Rappold. Lung Function and Inflammation in Healthy Young Adults After 6.6 Hours of 0.07 ppm Ozone Exposure.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. American Thoracic Society, New York, NY, USA,  124387, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-86h9",
      "keyword": [
        "Ozone",
        "pulmonary function",
        "inflammation",
        "Exercise",
        "air quality"
      ],
      "contactPoint": {
        "fn": "Edward Pennington",
        "hasEmail": "mailto:pennington.edward@epa.gov"
      },
      "distribution": [
        {
          "title": "Lung Function and Inflamm 0.07 ppm Ozone - METADATA.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-86h9/Lung%20Function%20and%20Inflamm%200.07%20ppm%20Ozone%20-%20METADATA.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-04-08",
      "references": [
        "https://doi.org/10.1016/j.envres.2026.124387"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.3588 35.6031, -78.3949 35.6031, -78.3949 36.1494, -79.3588 36.1494, -79.3588 35.6031))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "SciHub Dataset_Evaluation of Sprayers for Manikin PPE Decon_091720.v1.xlsx",
      "description": "Dataset used to generate figures/results for the Evaluation of Conventional and Electrostatic Sprayers for Decontamination of PPE-covered Manikins in a Personnel Biological Agent Decontamination Line publication. \n\nThis dataset is associated with the following publication:\nArcher, J., A. Touati, R.L. Mickelsen, L. Oudejans, M.W. Calfee, S.D. Lee, and A. Abdel-Hady. Evaluation of Conventional and Electrostatic Sprayers for Decontamination of PPE-Covered Manikins.   Health Security. SAGE Publications, THOUSAND OAKS, CA, USA, 24(1): 55-65, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1519381",
      "keyword": [
        "Decontamination",
        "spores",
        "reaerosolization",
        "electrostatic sprayer",
        "PPE"
      ],
      "contactPoint": {
        "fn": "John Archer",
        "hasEmail": "mailto:archer.john@epa.gov"
      },
      "distribution": [
        {
          "title": "SciHub Dataset PPE Decon Manikin manuscript_091720_v1.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519381/SciHub%20Dataset%20PPE%20Decon%20Manikin%20manuscript_091720_v1.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2020-09-18",
      "references": [
        "https://doi.org/10.1177/23265094251413155"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Cyanobacterial Bloom Occurrence and Emergency Department Visits for Asthma or Wheeze, Wisconsin, 2017–2019 ",
      "description": "Public data available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. Portions of this dataset are inaccessible because: Public data available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. They can be accessed through the following means: Public data available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. Format: Public data available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. \n\nThis dataset is associated with the following publication:\nLavery, A.M., J. Murray, A.F. Pennington, B. Schaeffer, B. Seegers, E. Hilborn, K. Loftin, S. Scroggins, and L. Backer. Cyanobacterial bloom occurrence and emergency department visits for asthma or wheeze, Wisconsin, 2017-2019.   Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn,  NETHERLANDS, 10(3): e439, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532329",
      "keyword": [
        "satellite",
        "water quality",
        "harmful algal bloom",
        "human health",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://oceancolor.gsfc.nasa.gov/about/projects/cyan/",
          "accessURL": "https://oceancolor.gsfc.nasa.gov/about/projects/cyan/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2024-11-01",
      "references": [
        "https://doi.org/10.1097/ee9.0000000000000439"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for article: Spatial Modeling of Cyanobacteria Bloom Risk to Disentangle Nutrients and Other Drivers for 125,000 Lakes in the United States",
      "description": "These data were used to model cyanobacteria abundance and microcystin concentration in lakes across the conterminous US. The data used in this article are publicly available at: https://doi.org/10.23719/1532353",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-c8v1",
      "keyword": [
        "National Lakes Assessment",
        "microcystin",
        "Harmful Algal Blooms",
        "cyanobacteria",
        "spatial modeling",
        "CyanoHABs"
      ],
      "contactPoint": {
        "fn": "Ryan Hill",
        "hasEmail": "mailto:hill.ryan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://catalog.data.gov/dataset/dataset-predictions-of-cyanobacteria-and-microcystin-in-lakes-across-the-conterminous-unit",
          "accessURL": "https://catalog.data.gov/dataset/dataset-predictions-of-cyanobacteria-and-microcystin-in-lakes-across-the-conterminous-unit",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-09",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-126.0013 24.5284, -66.366 24.5284, -66.366 49.3389, -126.0013 49.3389, -126.0013 24.5284))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532353/HABsDrivers_Model_Metadata.csv"
      },
      "accessRights": "public"
    },
    {
      "title": "Ovalbumin as a carrier protein for per-and polyfluoroalkyl substances (PFAS) ",
      "description": "Ovalbumin as a carrier protein for per-and polyfluoroalkyl substances (PFAS) in the aquatic environment: Experimental and computational analysis. This dataset is not publicly accessible because: Projects and data are not funded by the EPA and are owned by the collaborating partners involved. It can be accessed through the following means: To obtain the raw data, please contact wenjie.xia@ndsu.edu. Format: The raw data plotted as graphs is included in the journal manuscript. \n\nThis dataset is associated with the following publication:\nArshad , A., S. Mazumdar , M. Quadir , M. Nadagouda, A.  Bezbaruah, and W. Xia. Ovalbumin as a PFAS carrier protein in aquatic environments.   Cell Reports. Cell Press, Cambridge, MA, USA, 7(2): 103089, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1531974",
      "keyword": [
        "Nitrogen and Co-pollutants",
        "water treatment",
        "Binding",
        "PFAS",
        "Computational Analysis"
      ],
      "contactPoint": {
        "fn": "Mallikarjuna Nadagouda",
        "hasEmail": "mailto:nadagouda.mallikarjuna@epa.gov"
      },
      "distribution": [],
      "modified": "2025-02-03",
      "references": [
        "https://doi.org/10.1016/j.xcrp.2025.103089"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Distribution water data 2023-2024",
      "description": "The worksheet contains microbial, disinfection byproduct (DBP), and other water quality parameters at public water systems distribution network.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-hsdm",
      "keyword": [
        "microbe",
        "DBP",
        "drinking water quality"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "scihub_Dis_Water_2324_dataset_V2.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-hsdm/scihub_Dis_Water_2324_dataset_V2.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-04-22",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for \"The role of perfluorinated acyl fluoride hydrolysis in regional-scale model predictions of per- and polyfluoralkyl substance (PFAS) chemistry, transport, and fate\"",
      "description": "The dataset provided here documents the information used to generate figures for \"The Role of Perfluorinated Acyl Fluoride Hydrolysis in Regional-Scale Model Predictions of Per- and Polyfluoralkyl Substance (PFAS) Chemistry, Transport, and Fate\" published in ACS Environmental Science & Technology. \n\nThis dataset is associated with the following publication:\nD'Ambro, E., B. Murphy, I. Piletic, J. Bash, and H. Pye. The Role of Perfluorinated Acyl Fluoride Hydrolysis in Regional-Scale Model Predictions of Per- and Polyfluoralkyl Substance (PFAS) Chemistry, Transport, and Fate.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 60(17): 13041–13050, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532533",
      "keyword": [
        "air quality",
        "air pollution",
        "atmospheric chemistry",
        "CMAQ",
        "PFAS",
        "Atmosphric deposition"
      ],
      "contactPoint": {
        "fn": "Emma D'Ambro",
        "hasEmail": "mailto:dambro.emma@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "DAmbro_CMAQPFAShydrolysis_NCchemours_EST2026_Data_2026-04-29.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532533/DAmbro_CMAQPFAShydrolysis_NCchemours_EST2026_Data_2026-04-29.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "CMAQ-PFAS_EST2026.tar",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532533/CMAQ-PFAS_EST2026.tar",
          "mediaType": "application/x-gtar",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-05",
      "references": [
        "https://doi.org/10.1021/acs.est.5c18320"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
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          "bbox": "POLYGON((-80.1637 33.2385, -76.8495 33.2385, -76.8495 35.8554, -80.1637 35.8554, -80.1637 33.2385))"
        }
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      "accessRights": "public"
    },
    {
      "title": "2019_2021_chamber_study_burn_integrated_data",
      "description": "EPA/USFS 2019 and 2021 Missoula Fire Sciences Laboratory non-regulatory instrument/sensor smoke performance manuscript data sets. \n\nThis dataset is associated with the following publication:\nLandis, M., R. Long, J. Krug, M. Colón, J. Perth, and S. Urbanski. Performance evaluation of commercially available non-regulatory instruments and sensors in smoke for PM, CO, CO2, NO2, and SO2.   JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 76(5): 383-405, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532438",
      "keyword": [
        "wildland fire smoke",
        "carbon monoxide",
        "nitrogen dioxide",
        "sensor performance",
        "sulfur dioxide",
        "particulate matter (PM)",
        "aerosol density"
      ],
      "contactPoint": {
        "fn": "Matthew Landis",
        "hasEmail": "mailto:landis.matthew@epa.gov"
      },
      "distribution": [
        {
          "title": "static_2021_burn_integrated_sciencehub_2026_01_30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532438/static_2021_burn_integrated_sciencehub_2026_01_30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "static_2019_burn_integrated_sciencehub_2026_01_30.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532438/static_2019_burn_integrated_sciencehub_2026_01_30.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-01-30",
      "references": [
        "https://doi.org/10.1080/10962247.2026.2629562"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data supporting Application and Evaluation of a NOAA GFS-Driven Air Quality Model using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019 (v1)",
      "description": "Dataset contains links to publicly available data: the CMAQ github repository, 2019 FIREX-AQ simulation output from previous work, CMAQ official versions from zenodo, and the CMAQ 2019 inputs used in previous work.\n\nThis data supports the following work:\nFarzad, K., Zhang, Y., Tong, D., Ma, S., Tang, Y., Huang, J., et al. (2026). Application and evaluation of a NOAA GFS-driven air quality model using CMAQv5.4 and high-resolution emissions: FIREX-AQ 2019. Journal of Geophysical Research: Atmospheres, 131, e2025JD045668. https://doi.org/10.1029/2025JD045668. \n\nThis dataset is associated with the following publication:\nFarzad, K., Y. Zhang, D. Tong, S. Ma, Y. Tang, J. Huang, P. Campbell, H. Pye, B. Murphy, F. Yang, B. Baker, D. Kang, B. Hutzell, and G. Sarwar. Application and Evaluation of a NOAA GFS-Driven Air Quality Model Using CMAQv5.4 and High-Resolution Emissions: FIREX-AQ 2019.   JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES. American Geophysical Union, Washington, DC, USA, 131(9): e2025JD045668, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-nvxr",
      "keyword": [
        "Wildland Fire",
        "pm2.5",
        "Ozone",
        "forecast",
        "FIREX-AQ",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.23719/1531092",
          "accessURL": "https://doi.org/10.23719/1531092",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/WZNGQB",
          "accessURL": "https://doi.org/10.15139/S3/WZNGQB",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-14",
      "references": [
        "https://doi.org/10.1029/2025jd045668"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Metadata for Polyethylene Terephthalate Microplastics Study",
      "description": "It contains the raw values for endpoints for individual animals within treatment groups that are reported in tables and figures. \n\nThis dataset is associated with the following publication:\nLewis, A., A. Biales, C. Miller, W. Oshiro, T. Beasley, M. Schladweiler, G. Momplaisir, B. Flick, M.J. See, R. Huang, W. Williams, M. Moore, G. Casuccio, L. Li, M. Deible, R. Grindstaff, T. Jackson, M. Hazari, K. Rogers, K. Ho, and A. Farraj. A Single Oral Exposure to Polyethylene Terephthalate Microplastics Causes Mild Metabolic and Gastrointestinal Disruption: Dose and Sex as Effect Modifiers.   DRUG AND CHEMICAL TOXICOLOGY. Marcel Dekker Incorporated, New York, NY, USA,  1-18, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532429",
      "keyword": [
        "gastrointestinal",
        "gene expression",
        "microplastics",
        "polyethylene terephthalate",
        "Metabolism",
        "oral exposure",
        "toxicity"
      ],
      "contactPoint": {
        "fn": "Aimen Farraj",
        "hasEmail": "mailto:farraj.aimen@epa.gov"
      },
      "distribution": [
        {
          "title": "Lewis et al_All Data File_08_20_2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532429/Lewis%20et%20al_All%20Data%20File_08_20_2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-22",
      "references": [
        "https://doi.org/10.1080/01480545.2026.2643619"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Episodic O3",
      "description": "Data set for paper from, \"Episodic ozone exposure over two weeks alters pulmonary inflammation and gene expression in Long-Evans rats.\". \n\nThis dataset is associated with the following publication:\nDye, J., M. Moore, H. Nguyen, M. Schladweiler, V. Adams, J. Richards, W. Williams, R. Grindstaff, U. Kodavanti, and C. Miller. Episodic ozone exposure over two weeks alters pulmonary inflammation and gene expression in Long-Evans rats..   INHALATION TOXICOLOGY. Informa Healthcare USA, New York, NY, USA, 37(7-8): 343-356, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532465",
      "keyword": [
        "episodic",
        "Ozone",
        "inhalation toxicology",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Colette Miller",
        "hasEmail": "mailto:miller.colette@epa.gov"
      },
      "distribution": [
        {
          "title": "O3 Episodic Lung Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532465/O3%20Episodic%20Lung%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-19",
      "references": [
        "https://doi.org/10.1080/08958378.2025.2576492"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Sentinel-2_rubric",
      "description": "A comprehensive literature review was conducted with Web of Science to identify relevant studies published between 2013 and October 2024. The search included the keywords ‘Sentinel-2’ or ‘Sentinel 2’ with ‘chl-a’ or ‘chlorophyll-a,’ ‘lakes,’ and ‘water.’  Of the initial 221 studies retrieved, studies were excluded if they (1) only mentioned Sentinel-2 or chlorophyll-a without using them in the analysis, (2) focused on non-water measures such as vegetation or land cover, (3) used synthetic satellite data, (4) used only satellite data (that is, do not include in situ measurements), or (5) included satellites in addition to Sentinel-2 in their analyses and did not separate the results by sensor.  This left 122 studies to be reviewed that included both Sentinel-2 satellite data and in situ data. The full collection of studies investigated is referenced. \n\nThis dataset is associated with the following publication:\nGoodrich, S., B. Schaeffer, K. Meyers, W. Salls, T. King, B. Seegers, O. Cronin-Golomb, D. Demaree, and M. Reif. Sentinel-2 for chlorophyll-a water quality monitoring: a review of validation evidence and application potential.   INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 47(9): 3820-3845, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-1pwj",
      "keyword": [
        "satellite",
        "sentinel-2",
        "algorithm maturity",
        "water quality",
        "chlorophyll"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [
        {
          "title": "Goodrich_supplemental_tables_01_23_2026.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-1pwj/Goodrich_supplemental_tables_01_23_2026.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-24",
      "references": [
        "https://doi.org/10.1080/01431161.2026.2637851"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "HABS-BLOCKS© Reduced Harmful Algal Bloom Activity During in Lake Mesocosm Trials at Grand Lake St. Marys",
      "description": "The datasets include:\nFirst tab: LC methods\nSecond Tab: Weekly glucose measurements in treated LCs. \n\nThis dataset is associated with the following publication:\nVesper, S., H.N. Hoehn, M.C. Grunden, and S.J. Jacquemin. HABS-BLOCKS© Reduced Harmful Algal Bloom Activity in an in-Lake Limno-Corral Mesocosm Case Study at Grand Lake St. Marys, Ohio (USA).   BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY. Springer, New York, NY, USA, 116(4): 73, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-80gt",
      "keyword": [
        "glucose",
        "microcystin",
        "HABS-BLOCKS",
        "cyanobacteria"
      ],
      "contactPoint": {
        "fn": "Brent Johnson",
        "hasEmail": "mailto:johnson.brent@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.ncbi.nlm.nih.gov/sra",
          "accessURL": "https://www.ncbi.nlm.nih.gov/sra",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-22",
      "references": [
        "https://doi.org/10.1007/s00128-026-04228-9",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13032973"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "PFOS and PFOA to PFCAs dataset for figure generation",
      "description": "This dataset contains the final, processed data that was used in the generation of figures for this manuscript. \n\nThis dataset is associated with the following publication:\nWeber, N., J. Krug, W. Roberson, E. Shields, A. Wallace, G. West, J. Mattila, R.P. Burnette, M. Allen, K. Barnett, L. Virtaranta, G. Whitfield, W. Preston, and W. Linak. Formation of Perfluorocarboxylic Acids (PFCAs) from the Incomplete Thermal Decomposition of Perfluorooctanesulfonic Acid (PFOS) and Perfluorooctanoic Acid (PFOA).   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 3(1): 197-207, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-qrh4",
      "keyword": [
        "perfluorooctane sulfonate (PFOS)",
        "perfluoroctanoic acid (PFOA)",
        "chemical ionization mass spectrometry (CIMS)",
        "OTM-50"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "PFOS and PFOA to PFCAs Manuscript Figure Dataset_final.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-qrh4/PFOS%20and%20PFOA%20to%20PFCAs%20Manuscript%20Figure%20Dataset_final.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-02-20",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00317",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12973017"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "TROPOSPHERIC EMISSIONS: MONITORING OF POLLUTION (TEMPO) PROJECT Validation and Quality Assessment of Level-2 Trace Gas Products (NO2, HCHO, & O3)",
      "description": "The data supporting the findings of this validation report are derived from public domain resources including ground-based networks, atmospheric composition field campaigns, and satellite observations. The specific datasets are categorized as follows:\n1. TEMPO Satellite Observations\nThe TEMPO Level 1 (radiances) and Level 2 (trace gas columns) version 3 data products (NO₂, O₃, and HCHO) are available through the NASA Earthdata Search portal under the TEMPO project collection.\n2. Validation Reference Data\nTo assess retrieval accuracy, this report utilizes independent measurements from the following sources:\nGround-Based Network Observations:\n \n•\tPandonia Global Network (PGN): High-frequency direct-sun measurements from Pandora spectrometers serve as the primary validation standard. Available at pandonia-global-network.org.\n•\tFTIR Network (NDACC): High-resolution solar absorption spectra for trace gas profiles are sourced from the Network for the Detection of Atmospheric Composition Change (NDACC). North American site data are available via the NDACC Data Host Facility.\n•\tBrewer and Dobson Spectrometers: Total column ozone (O₃) validation relies on the global network of ultraviolet spectrophotometers. Data are available via the World Ozone and Ultraviolet Radiation Data Centre (WOUDC) at woudc.org.\n \n•\tIntensive Field Campaign Datasets (Summer 2023): This report leverages synergistic observations from the AGES+ multi-agency initiative (AEROMMA, CUPIDS, GOTHAAM, and STAQS), providing high-resolution aircraft and ground measurements:\n \n•\tSTAQS: Airborne remote sensing (GCAS) and ground-based lidar (TOLNet) data are archived at the NASA STAQS Data Archive.\n•\tAEROMMA: In situ trace gas and aerosol measurements from the NASA DC-8 are available at the NOAA CSL AEROMMA Data Archive.\n•\tCUPIDS: Boundary layer dynamics and transport data from the NOAA Twin Otter and ground sites are hosted at the NOAA CSL CUPIDS Archive.\n \n•\tSatellite & Model Datasets:\n•\tTROPOMI: Accessed through the Copernicus Data Space Ecosystem.\n•\tOMI: Accessed through the NASA Earthdata Search portal.\n•\tWRF-Chem Model: University of Wisconsin-Madison 4km retrospective chemistry and aerosol predictions are available via the NOAA CSL AEROMMA Data Archive. Portions of this dataset are inaccessible because: --. They can be accessed through the following means: --. Format:   --",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-bgwt",
      "keyword": [
        "TEMPO",
        "Geostationary Satellite",
        "formaldehyde columns",
        "nitrogen dioxide columns",
        "ozone columns",
        "Data Validation"
      ],
      "contactPoint": {
        "fn": "James Szykman",
        "hasEmail": "mailto:szykman.jim@epa.gov"
      },
      "distribution": [
        {
          "title": "https://search.earthdata.nasa.gov/",
          "accessURL": "https://search.earthdata.nasa.gov/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www.pandonia-global-network.org/home/",
          "accessURL": "https://www.pandonia-global-network.org/home/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www2.acom.ucar.edu/irwg",
          "accessURL": "https://www2.acom.ucar.edu/irwg",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://woudc.org/en/",
          "accessURL": "https://woudc.org/en/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://www-air.larc.nasa.gov/missions/staqs/",
          "accessURL": "https://www-air.larc.nasa.gov/missions/staqs/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://csl.noaa.gov/projects/aeromma/data.html",
          "accessURL": "https://csl.noaa.gov/projects/aeromma/data.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://csl.noaa.gov/projects/cupids/",
          "accessURL": "https://csl.noaa.gov/projects/cupids/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://dataspace.copernicus.eu/",
          "accessURL": "https://dataspace.copernicus.eu/",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-08-29",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ Model Version 5.5 CRACMM1-2 Input Data – 12/22/2019 - 12/31/2020 12km CONUS (v1)",
      "description": "CMAQ input data for the CRACMM1 chemical mechanism for a 12/22/2019 - 12/31/2020 simulation over the Continental US. Links are for the AWS-hosted dataset, CMAQ code repository, CMAQ code archive, and 2020 modeling platform. The README is a copy of the README for the data linked at https://doi.org/10.15139/S3/BYFKMI.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-5fwf",
      "keyword": [
        "emissions",
        "hazardous air pollutants (HAPs)",
        "chemistry",
        "Ozone",
        "pm2.5",
        "CRACMM",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.15139/S3/BYFKMI",
          "accessURL": "https://doi.org/10.15139/S3/BYFKMI",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-5fwf/README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/W4HCMV",
          "accessURL": "https://doi.org/10.15139/S3/W4HCMV",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-19",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
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            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Air pollution and wind data for Forest Park Near Road Monitoring Network site during 2022",
      "description": "Air pollution and wind data for Forest Park Near Road Monitoring Network site during 2022. \n\nThis dataset is associated with the following publication:\nBurke-Norris, J., R. Henry, W. Wetherell, and J. Brunnert. Polar grid-based nonparametric trajectory analysis for improved near-source air pollutant monitoring applications.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 374: 121951, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532234",
      "keyword": [
        "Near roadway",
        "particulate matter (PM)",
        "Air monitoring",
        "air pollution"
      ],
      "contactPoint": {
        "fn": "Janet Burke-Norris",
        "hasEmail": "mailto:burke.janet@epa.gov"
      },
      "distribution": [
        {
          "title": "Forest Park 2022 data for Polar NTA paper.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532234/Forest%20Park%202022%20data%20for%20Polar%20NTA%20paper.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-04-25",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2026.121951"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Riverine Phosphorus Gain and Loss across the conterminous United States",
      "description": "Excess riverine phosphorus represents a preeminent catalyst for water quality degradation. Spatial mapping and characterization of the net gain and loss of riverine phosphorus help discern the critical source areas. Here, we developed a dataset encompassing phosphate (PO3−4) and total phosphorus (TP) gain and loss across catchments in the conterminous United States (CONUS). We compiled 51 394 PO3−4 and 285 675 TP concentration measurements and estimated PO3−4 and TP loads at 963 and 2317 stations, respectively. Next, we leveraged the upstream-downstream topology information from the National Hydrography Dataset Plus (NHDPlus) catchment map at the Hydrologic Unit Catalogue-12 (HUC12) level to derive the net gain and loss of riverine phosphorus across catchments in the CONUS. Such maps can be used to estimate potential contributions of point and non-point sources to riverine phosphorus pollution at refined spatial scales, identify different major factors controlling local riverine P gain and loss compared to P loads, and evaluate watershed model's fidelity for representing riverine P cycling. The resultant dataset is provided in Excel (.xlsx) format, accessible at Figshare (https://doi.org/10.6084/m9.figshare.28509317, Wang et al., 2025b). Leveraging the HUC12 information for spatialization, the new datasets aim to address the existing gap in regional characterization of riverine phosphorus and support effective management practices across the CONUS. \n\nThis dataset is associated with the following publication:\nWang, Y., X. Zhang, K. Zhao, R. Sabo, Y. Miao, and C. Clark. Riverine phosphorus gain and loss across the conterminous United States.   Earth System Science Data. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18(5): 3355-3365, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-q4h6",
      "keyword": [
        "nitrogen",
        "phosphorus",
        "River",
        "water quality",
        "Watershed"
      ],
      "contactPoint": {
        "fn": "Robert Sabo",
        "hasEmail": "mailto:sabo.robert@epa.gov"
      },
      "distribution": [
        {
          "title": "https://figshare.com/articles/dataset/Riverine_Phosphorus_Gain_and_Loss_across_the_conterminous_United_States/28509317",
          "accessURL": "https://figshare.com/articles/dataset/Riverine_Phosphorus_Gain_and_Loss_across_the_conterminous_United_States/28509317",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-08",
      "references": [
        "https://doi.org/10.5194/essd-18-3355-2026"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://essd.copernicus.org/articles/18/3355/2026/essd-18-3355-2026.html"
      },
      "accessRights": "public"
    },
    {
      "title": "Methods and Datasets for 5-Day Oral Anatoxin-a Toxicity in Mice",
      "description": "This contains methods and datasets for serum chemistry, male reproductive assessment, metabolomics, transcriptomics, cortical electrode implantation, BAER testing and behavior assessments for male and female CD-1 mice treated orally for 5 days with either 0, 2, 4, or 6 mg/kg anatoxin-a.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-kzbz",
      "keyword": [
        "cyanobacteria",
        "anatoxin-a",
        "harmful algal bloom",
        "gene expression",
        "Neurotoxin",
        "novel objects recognition",
        "metabolomics",
        "male reproductive effects",
        "health effects",
        "transcriptomics",
        "serum chemistry",
        "auditory testing",
        "Harmful Algal Blooms",
        "functional observational battery",
        "cyanotoxins",
        "BAER",
        "anatoxin",
        "brainstem auditory evoked potentials",
        "Hearing",
        "neurotoxicity"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "biocrates-Quant500-list-of-metabolites-v4-2021.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/biocrates-Quant500-list-of-metabolites-v4-2021.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ATX_5-day Methods_Final_5-19-26.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/ATX_5-day%20Methods_Final_5-19-26.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ATX Testes Histology Evaluation Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/ATX%20Testes%20Histology%20Evaluation%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ATX Serum Chemistry Results.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/ATX%20Serum%20Chemistry%20Results.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ATX FOB Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/ATX%20FOB%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin Sperm Motility Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20Sperm%20Motility%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin Sperm Count Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20Sperm%20Count%20Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin NOR Training Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20NOR%20Training%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin NOR Testing Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20NOR%20Testing%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin NOR Habituation Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20NOR%20Habituation%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Anatoxin Metabolomics Data 20241026.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/Anatoxin%20Metabolomics%20Data%2020241026.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ANA2_Fig1_Stacks_All_Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-kzbz/ANA2_Fig1_Stacks_All_Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-19",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Anatoxin-a and Metabolite Quantification in Mouse Gastric Contents After Oral Dosing with Anatoxin-a",
      "description": "This dataset contains quantification of anatoxin and dihydroanatoxin in stomach contents of mice dosed with a known dose (mg/kg) of anatoxin (only) and collected a known time after dosing.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-nxfq",
      "keyword": [
        "anatoxin-a",
        "harmful algal bloom",
        "dihydroanatoxin-a",
        "Gastric contents"
      ],
      "contactPoint": {
        "fn": "Donna Jenkins-Hill",
        "hasEmail": "mailto:hill.donna@epa.gov"
      },
      "distribution": [
        {
          "title": "Gastric Contents ATX Methods and Dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-nxfq/Gastric%20Contents%20ATX%20Methods%20and%20Dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "ATX Greenwater Project Report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-nxfq/ATX%20Greenwater%20Project%20Report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-19",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Research on integrated technology of bearing structure reconstruction and support control in high risk area of top coal roadway in thick coal seam",
      "description": "The data is in csv format composed of FLAC3D simulations and field data. This dataset is not publicly accessible because: Data is already included in the manuscript. Any additional data can be requested from the corresponding author on request. It can be accessed through the following means: Data is available in the manuscript. Format: Most of the analysis work is based on modeling and simulation and some filed testing and all data included in the manuscript. \n\nThis dataset is associated with the following publication:\nXiaokang, S., S. Bacha, Z. Heng, L. Xiaojing, C. Xiaozhen, W. Kai, and Z. Hua. Research on the integrated technology of bearing structure reconstruction and support control in high risk area of top coal roadway in thick coal seam.   Scientific Reports. Nature Publishing Group, London,  UK, 16(1): 14822, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-pk1f",
      "keyword": [
        "advanced pipe pre-grouting",
        "thick coal seam top coal roadway",
        "stability of surrounding rock",
        "anchor cable support"
      ],
      "contactPoint": {
        "fn": "Sher Bacha",
        "hasEmail": "mailto:bacha.sher@epa.gov"
      },
      "distribution": [],
      "modified": "2026-01-22",
      "references": [
        "https://doi.org/10.1038/s41598-026-44215-y",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13168481"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Groundwater nitrate data in the Southern Willamette Valley (2006-2024) and Nutrient Inventory data (2006-2017)",
      "description": "The DEQ site contains the data from monitoring wells used by the state of Oregon within the southern Willamette Valley Groundwater Management Area (GWMA).  These data were used in Wang et al. paper in preparation.  The StreamCatNNI dataset includes the inputs data for each NHD+V2 catchment across the US.  ",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-t16m",
      "keyword": [
        "Drinking water (Groundwater)",
        "Agriculture",
        "groundwater",
        "nitrate"
      ],
      "contactPoint": {
        "fn": "Jana Compton",
        "hasEmail": "mailto:compton.jana@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.oregon.gov/deq/wq/Pages/WQdata.aspx",
          "accessURL": "https://www.oregon.gov/deq/wq/Pages/WQdata.aspx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://catalog.data.gov/dataset/streamcat-national-nutrient-inventory-streamcatnni",
          "accessURL": "https://catalog.data.gov/dataset/streamcat-national-nutrient-inventory-streamcatnni",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-04-20",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.2671 44.1551, -123.1427 44.1551, -123.1427 44.6413, -123.2671 44.6413, -123.2671 44.1551))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Data sources associated with commercial hazardous waste rotary kiln incinerators",
      "description": "Selected data sources for the operating parameters of commercial hazardous waste rotary kiln incinerators. Portions of this dataset are inaccessible because: While all of these sources are in the public domain, permission for resharing was not requested or granted as part of the access. They can be accessed through the following means: Table 3 in the manuscript outlines the references associated with data contained in the paper. Each facility and the associated source is reproduced below:\r\n- Clean Harbors/Aragonite - \r\n2017 CPT plan, (Utah DEQ, 2017 - https://lf-public.deq.utah.gov/WebLink/DocView.aspx?id=420039&repo=Public&searchid=aa55b0cf-471a-4adb-8a36-774cf0d9949a); 2024 Utah RCRA permit, (Utah DEQ, 2024 -https://deq.utah.gov/businesses-facilities/aragonite-permitclean-harbors-llc); 2022 CPT plan report, (Taylor, 2022)\r\n- Clean Harbors/Deer Park - \r\n2022 Texas air quality permit, (Texas CEQ, 2022 - https://records.tceq.texas.gov/cs/idcplg?IdcService=TCEQ_EXTERNAL_SEARCH_GET_FILE&dID=6783086&Rendition=Web); DPCAC question of the month, (Deer Park CAC, 2016 - https://deerparkcac.org/wp-content/uploads/2021/04/DPCAC-Question-of-Month-SUMMARY-4.1.2021.pdf)\r\n- Clean Harbors/El Dorado - \r\n2019 statement of basis for draft air permit, (Arkansas DEQ, 2019 - https://www.\r\nadeq.state.ar.us/downloads/WebDatabases/PermitsOnline/Air/1009-\r\nAOP-R19-SOB.pdf); 2022 operating air permit, (Arkansas DEQ, 2022 - https://www.adeq.state.ar.us/downloads/WebDatabases/PermitsOnline/Air/1009-AOP-R25.pdf)\r\n- Clean Harbors/Kimball - \r\n2023 CPT plan, (Nebraska DEE, 2023 - https://ecmp.nebraska.gov/PublicAccess/api/Document/AZ8P1IcJW%C3%89j6DZoWnO3cMWSC%C3%81VX7BR0FeBNqfJCLp2Ltvm1aabhmAzOqoe6M%C3%812av16xEZ1LpZczN5BYoYmfq0kw%3D/)\r\n- Heritage/E. Liverpool - \r\n2020 title V permit, (Ohio EPA, 2020 - https://edocpub.epa.ohio.gov/publicportal/ViewDocument.aspx?docid=3272191); 2020 CPT plan (Heritage Thermal Services, 2019)\r\n- Ross/Grafton - \r\n2024 title V permit, (Ohio EPA, 2024 - https://edocpub.epa.ohio.gov/publicportal/ViewDocument.aspx?docid=3277211)\r\n- Veolia/Port Arthur - \r\n2024 air quality permit, (Texas CEQ, 2024 - https://records.tceq.texas.gov/cs/idcplg?IdcService=TCEQ_EXTERNAL_SEARCH_GET_FILE&dID=7694687&Rendition=Web)\r\n- Veolia/Sauget - \r\n2014 CPT plan, (U.S. EPA, 2014 - https://www.epa.gov/sites/default/files/2017-01/documents/veolia-sauget-cpt-report-20140130-128pp.pdf); 2021 modification to title V permit, (U.S. EPA, 2021 - https://www.regulations.gov/document/EPA-R05-OAR-2014-0280-0668). Format: Data is included in state operating permits, state permit modifications, CPT plans, RCRA Permits, and statements of basis for draft air permits as issued by the state the HWI operates within. \n\nThis dataset is associated with the following publication:\nWilkes, K., J. Krug, N. Weber, W. Roberson, P. Lemieux, and W. Linak. A mini-review of PFAS thermal treatment and operating conditions at commercial hazardous waste rotary kiln incinerators.   Waste Management and Research. SAGE Publications, THOUSAND OAKS, CA, USA, 44(5): 525–538, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-smwz",
      "keyword": [
        "RCRA",
        "commercial hazardous waste incineration",
        "PFAS",
        "thermal destruction",
        "rotary kiln"
      ],
      "contactPoint": {
        "fn": "Jonathan Krug",
        "hasEmail": "mailto:krug.jonathan@epa.gov"
      },
      "distribution": [
        {
          "title": "https://awsedap.epa.gov/public/extensions/PFAS_Tools/PFAS_Tools.html",
          "accessURL": "https://awsedap.epa.gov/public/extensions/PFAS_Tools/PFAS_Tools.html",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-15",
      "references": [
        "https://doi.org/10.1177/0734242x251405988"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States, 2016-2023",
      "description": "Reservoirs are globally important sources of greenhouse gases, but the magnitude of their emissions is highly uncertain. Here we present data for 146 reservoirs from two surveys of reservoir methane and carbon dioxide emissions, one at the regional scale in the midwestern United States and one at the national scale in the conterminous United States, plus data from one reservoir in Washington and another in Puerto Rico. At all reservoirs, ebullitive and diffusive emissions and basic physiochemistry were measured at 15-70 locations during one 22 to 64-hour period during the summers of 2016-2023, with four reservoirs revisited a second time. Concomitant water chemistry measurements were also made at an index site. The dataset is comprised of two geospatial files and seven .csv files containing greenhouse gas emissions, water chemistry, morphology, and other relevant data. These data comprise the largest multi-reservoir emissions dataset ever assembled using consistent measurement methods. \n\nThis dataset is associated with the following publication:\nBeaulieu, J., B. Deemer, R. Pilla, J. Hollister, J. Hollister, S. Jacobs, J. Walker, P. Leinenbach, N. Griffiths, S. Shivers, A. Tatters, K. Buckler, J. Corra, R.W. Daly, A. Djurkovic, R. Fulgham, P. Goodwin, L. Herger, M.W. Jones, N. Jones, L. Juilfs, C. Langstroth, M. Mitchell, J. Oliveira, B. Richmond, and J. Schroeder. Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States.   Limnology and Oceanography Letters. John Wiley & Sons, Inc., Hoboken, NJ, USA, 11(12): e70080, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-rzh4",
      "keyword": [
        "chlorophyll",
        "GRTS",
        "nutrients",
        "reservoirs"
      ],
      "contactPoint": {
        "fn": "Jake Beaulieu",
        "hasEmail": "mailto:beaulieu.jake@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.6073/pasta/adbdb0fc8d23621446298175dca2283f",
          "accessURL": "https://doi.org/10.6073/pasta/adbdb0fc8d23621446298175dca2283f",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-14",
      "references": [
        "https://doi.org/10.1002/lol2.70080"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for \"A probabilistic assessment of the cost-tradeoffs for nitrogen fertilizer application rates on tile drained corn land and drinking water nitrate treatment \"",
      "description": "The included data set contains:\n1. The reference list of the studies used to compile yield, nitrate loss for various nitrogen fertilizer rates\n2. The compiled raw yield, nitrate loss, and nitrogen fertilizer rates compiled from the studies listed in the reference list\n3. Data and calculations related to nitrogen fertilizer price\n4. Data and calculations related to corn grain price\n5. Field scale (i.e., per hectare) Monte Carlo analysis results for farmer net revenue and nitrate loss\n6. Watershed scale Monte Carlo analysis results of stream nitrate loads\n7. Observed and estimated daily nitrate concentration data for the Raccoon River at Van Meter, IA\n8. Observed and estimated daily nitrate concentration data for the Des Moines River at Des Moines, IA\n9. Observed and estimated daily nitrate concentration data for the North Fork Vermilion River at Bismark, IL. \n\nThis dataset is associated with the following publication:\nDunn, P., and Y. Yuan. A probabilistic analysis of cost-benefit among nitrogen fertilizer application, corn production and drinking water nitrate treatment.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 1043: 181930, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532277",
      "keyword": [
        "subsurface drainage",
        "Agriculture",
        "nutrient management",
        "source water protection",
        "Monte Carlo Analysis",
        "nitrate treatment"
      ],
      "contactPoint": {
        "fn": "Yongping Yuan",
        "hasEmail": "mailto:yuan.yongping@epa.gov"
      },
      "distribution": [
        {
          "title": "Dunn_Yuan_JEM_2025_Data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532277/Dunn_Yuan_JEM_2025_Data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-05-07",
      "references": [
        "https://doi.org/10.1016/j.scitotenv.2026.181930"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "input dataset for SOA study, version 1, 6/1 - 6/30/2022",
      "description": "CMAQ model input (in netCDF format) for investigating enhanced SOA treatment. This dataset is not publicly accessible because: created and own by corresponding authors. It can be accessed through the following means: The datasets used in this study can be obtained upon request from the corresponding author Li Li (Lily@shuu.edu.cn). Format: model input for CMAQ in netCDF format. \n\nThis dataset is associated with the following publication:\nSu, Q., D. Wong, Y. Wang, K. Zhang, T.N. Skipper, S. Farrell, L. Huang, Y. Chen, Y. Yi, J. Tan, H. Pye, and L. Li. Enhanced Isoprene Secondary Organic Aerosol Formation with C5-alkene Triols Newly Added to Current Chemical Mechanisms.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 2(9): 1939–1950, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-dp5k",
      "keyword": [
        "SOA",
        "PM25",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2024-07-15",
      "references": [
        "https://doi.org/10.1021/acsestair.5c00124"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((68.9557 9.2254, 149.3123 9.2254, 149.3123 55.8468, 68.9557 55.8468, 68.9557 9.2254))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Evaluating the Impacts of Agriculture Conservation on Water Quantity and Quality through Trend, Predictability, and Causality Analysis",
      "description": "Implementation of agriculture conservation practices (ACPs) such as cover crops, crop rotation schemes, and tillage management tends to reduce peak flows and improves water quality, supporting agriculture ecosystem sustainability. This study utilizes indicators of ACPs, water quantity, and water quality to understand their trend and mutual influence, providing insights into the effectiveness of ACPs at the watershed level. The result suggested that ACPs have positively influenced watershed hydrology and water quality. Particularly, the significantly increased adoption of ACPs in the watershed resulted in reduction in frequency and intensity of flooding due to extreme events, supporting the need for increased implementation of ACPs in the future. \n\nThis dataset is associated with the following publication:\nSrivastava, S., T. Roy, A. Basche, Y. Yuan, and E. Traylor. Evaluating the Impacts of Agriculture Conservation on Water Quantity and Quality Through Trend, Predictability, and Causality Analysis.   WATER RESOURCES RESEARCH. American Geophysical Union, Washington, DC, USA, 62(4): e2025WR040751, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-9p8v",
      "keyword": [
        "water quality",
        "Agriculture conservation practices",
        "summer cropping",
        "water quantity",
        "vegetation health",
        "cover crop extent"
      ],
      "contactPoint": {
        "fn": "Brent Johnson",
        "hasEmail": "mailto:johnson.brent@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.18704560.",
          "accessURL": "https://doi.org/10.5281/zenodo.18704560.",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2026-02-19",
      "references": [
        "https://doi.org/10.1029/2025wr040751"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Chemical Analysis Method for Monitoring Metabolism in Live Cells: Data, Experiment Parameters, and SOPs",
      "description": "Chemical analysis method for real-time monitoring of metabolism and chemical uptake in live cells to reduce use of live animals in toxicity testing. Includes key data acquisition parameters, standardized procedures for samples preparation and data analysis (i.e., SOPs), and raw data files. \n\nThis dataset is associated with the following publication:\nEkman, D., and Q. Teng. Real-Time Untargeted Monitoring of Intracellular Metabolism in Live Cells Using 1H NMR and Extracellular Signal Suppression.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY. American Chemical Society, Washington, DC, USA, 147(42): 38254-38264, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-2v76",
      "keyword": [
        "New Approach Methods (NAMs)",
        "in vitro screening",
        "NMR spectroscopy",
        "metabolomics"
      ],
      "contactPoint": {
        "fn": "Drew Ekman",
        "hasEmail": "mailto:ekman.drew@epa.gov"
      },
      "distribution": [
        {
          "title": "JACS_ExSS-NMR SOPs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/JACS_ExSS-NMR%20SOPs.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JACS_Data for Figures.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/JACS_Data%20for%20Figures.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JACS_Bruker Pulse Sequences.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/JACS_Bruker%20Pulse%20Sequences.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "JACS_Data Dictionary.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/JACS_Data%20Dictionary.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "user_manual_topspin_ts40.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/user_manual_topspin_ts40.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "topspin pulse-programming.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/topspin%20pulse-programming.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Readme.docx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-2v76/Readme.docx",
          "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-04-01",
      "references": [
        "https://doi.org/10.1021/jacs.5c10909"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Data for: Isotopic evidence of changes in U.S. energy fuels and implications for particulate nitrate (v1)",
      "description": "The dataset contains links to publicly available CMAQ code, CMAQ-ready inputs, model simulation results, and observations for the nitrogen isotopes in nitrate. Please see the work of Kim et al. for more information on this data.\n\nThis data supports: \nKim, H., Walters, W. W., Pye, H. O. T., Foley, K. M., and Hastings, M. G., Isotopic Evidence for Changes in U.S. Energy Fuels and Impact on Particulate Nitrate, Environ. Sci. Technol., https://doi.org/10.1021/acs.est.6c00539, 2026.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532530",
      "keyword": [
        "nitrate",
        "combustion",
        "CMAQ",
        "stable isotopes",
        "NOx",
        "nitrogen"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.7218076",
          "accessURL": "https://doi.org/10.5281/zenodo.7218076",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/F2KJSK",
          "accessURL": "https://doi.org/10.15139/S3/F2KJSK",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.17274377",
          "accessURL": "https://doi.org/10.5281/zenodo.17274377",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-01-22",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Characterization of Per- and Polyfluoroalkyl Substances in the Emissions from a Municipal Waste to Energy Facility and the Destruction of Hexafluoroethane: Appendices",
      "description": "This contains the Appendices for the EPA report Characterization of Per- and Polyfluoroalkyl Substances in the Emissions from a Municipal Waste to Energy Facility and the Destruction of Hexafluoroethane. The appendices include the laboratory data reports, sampling data, and process data used to complete the report.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-jcj6",
      "keyword": [
        "per and polyfluoroalkyl substances (PFAS)",
        "Municipal Waste Combustor",
        "Waste to Energy Incinerator",
        "hexafluoroethane",
        "air emissions"
      ],
      "contactPoint": {
        "fn": "Erin Shields",
        "hasEmail": "mailto:shields.erin@epa.gov"
      },
      "distribution": [
        {
          "title": "Appendix G-Audit 1448_Covanta_AuditReport.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20G-Audit%201448_Covanta_AuditReport.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix F-FTIR report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20F-FTIR%20report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix E-Semivolatile Compound Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20E-Semivolatile%20Compound%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix D-OTM-50 data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20D-OTM-50%20data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix C-Stack Sampling Data.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20C-Stack%20Sampling%20Data.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Appendix B-OTM45 level IV data report.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/Appendix%20B-OTM45%20level%20IV%20data%20report.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "AppendixA-ProcessData.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-jcj6/AppendixA-ProcessData.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-06-08",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-81.9103 28.7367, -81.8887 28.7367, -81.8887 28.755, -81.9103 28.755, -81.9103 28.7367))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Supplemental materials",
      "description": "Data table of studies used in meta-analysis. \n\nThis dataset is associated with the following publication:\nKopylev, L., M. Dzierlenga, Y. Lin, B. Nachman, E. Radke-Farabaugh, and D. Segal. Relationship Between Prenatal Methylmercury Exposure and IQ: A Meta-analysis.   Exposure and Health. Springer Nature B.V., Dordrecht,  NETHERLANDS, 18: 1-22, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532354",
      "keyword": [
        "biomarkers of exposure",
        "systematic review",
        "developmental neurotoxicity",
        "mercury"
      ],
      "contactPoint": {
        "fn": "Leonid Kopylev",
        "hasEmail": "mailto:kopylev.leonid@epa.gov"
      },
      "distribution": [
        {
          "title": "https://www.sciencedirect.com/journal/environmental-research",
          "accessURL": "https://www.sciencedirect.com/journal/environmental-research",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2025-06-10",
      "references": [
        "https://doi.org/10.1007/s12403-026-00781-0"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "WRF input for 2016",
      "description": "it includes all the input file (wrfbdy, wrffdda, wrflowinp, and wrfsfdda) for the entire year of 2016 for the base line case, a case for modifying these input with keeping 3, 4, and 5 significant digits, respectively. This dataset is not publicly accessible because: it is about 0.5TByte of data. It can be accessed through the following means: it is on EPA HPC archival system, asm (/asm1/dwong03/data_compression/wrf/input). Format: WRF input files for entire year of 2016. \n\nThis dataset is associated with the following publication:\nWu, S., D.C. Wong, J. Wang, Y. Jin, J. Li, and C. Lu. Technical note: A flexible framework for precision reduction of WRF inputs and outputs to balance storage efficiency and scientific fidelity.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 26(10): 7261–7285, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-jtc3",
      "keyword": [
        "WRF",
        "FDDA"
      ],
      "contactPoint": {
        "fn": "Cheung Wong",
        "hasEmail": "mailto:wong.david-c@epa.gov"
      },
      "distribution": [],
      "modified": "2018-01-01",
      "references": [
        "https://doi.org/10.5194/acp-26-7261-2026"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-134.2344 17.516, -43.1604 17.516, -43.1604 53.2987, -134.2344 53.2987, -134.2344 17.516))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "Headwater Intermittent Stream Study algae dataset",
      "description": "Epilithic algal density and biovolume datasets at species and genus taxonomic levels and environmental variables. \n\nThis dataset is associated with the following publication:\nFritz, K., R. Kashuba, G. Pond, J. Christensen, S. Decelles, B. Johnson, and D. Walters. Identifying algal indicators for streamflow duration assessment methods in forested headwater streams.   ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 189: 115080, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-bccj",
      "keyword": [
        "indicators",
        "diatoms",
        "ephemeral",
        "intermittent",
        "epilithon",
        "perennial",
        "flow classification"
      ],
      "contactPoint": {
        "fn": "Brent Johnson",
        "hasEmail": "mailto:johnson.brent@epa.gov"
      },
      "distribution": [
        {
          "title": "SupplementalMaterials_Sept2025.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/SupplementalMaterials_Sept2025.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "HISS_locality.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/HISS_locality.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "environmental.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/environmental.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "den_sp.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/den_sp.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "den_ge.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/den_ge.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "Data Dictionary for Headwater Intermittent Stream Study algae dataset.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/Data%20Dictionary%20for%20Headwater%20Intermittent%20Stream%20Study%20algae%20dataset.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "biov_sp.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/biov_sp.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "biov_ge.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/biov_ge.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "algae_taxonomy.csv",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-bccj/algae_taxonomy.csv",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2026.115080"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Potable water",
      "description": "Meta data, potable water",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-wsb6",
      "keyword": [
        "Region",
        "potable",
        "Built Infrastructure",
        "metadata"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "Scihub Meta data .xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-wsb6/Scihub%20Meta%20data%20.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-05-22",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "All data shown in \"Chemical Clustering Analysis of Ambient and Emission Source Particulate Matter Reveals Compositional Determinants of Pulmonary Toxicity Responses\" by L.M. Klein et al.",
      "description": "This dataset shows all data in the 4 figures and 2 tables that are part of the paper. Each file has descriptions and instructions about how to read the data. \n\nThis dataset is associated with the following publication:\nKlein, L., S. Gavett, J. Pancras, W. Williams, A. Nored, I. Gilmour, and Y.H. Kim. Chemical Clustering Analysis of Ambient and Emission Source Particulate Matter Reveals Compositional Determinants of Pulmonary Toxicity Responses.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 39(3): 319-328, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532521",
      "keyword": [
        "metals",
        "lung",
        "computational toxicology",
        "particulate matter (PM)"
      ],
      "contactPoint": {
        "fn": "Stephen Gavett",
        "hasEmail": "mailto:gavett.stephen@epa.gov"
      },
      "distribution": [
        {
          "title": "3_Figure 4 Supp Tables 1 and 2 WCCNA output.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532521/3_Figure%204%20Supp%20Tables%201%20and%202%20WCCNA%20output.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2_Figures 2 and 3 lung toxicity data.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532521/2_Figures%202%20and%203%20lung%20toxicity%20data.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "1_Table 2 and Figure 1 chemical analysis data.xls",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532521/1_Table%202%20and%20Figure%201%20chemical%20analysis%20data.xls",
          "mediaType": "application/x-ole-storage",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-09-18",
      "references": [
        "https://doi.org/10.1021/acs.chemrestox.5c00390",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12959239"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Challenging Additivity: Comparing Predicted and Observed AhR Activity of PAC Mixtures with Active and Inactive Constituents",
      "description": "EPA-generated data used for basis of modelling in \"Challenging Additivity: Comparing Predicted and Observed AhR Activity of PAC Mixtures with Active and Inactive Constituents\". \n\nThis dataset is associated with the following publication:\nEccles, K., K. Gaston, E. Green, S. Waidyanatha, B. Stiffler, S. Harris, C. Rider, and E. Medlock Kakaley. In vitro assessment of known environmental contaminants and mixtures to determine in vivo relevance.   ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam,  NETHERLANDS,  2976-2987, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532435",
      "keyword": [
        "chemical mixtures",
        "potency",
        "Benchmark Concentration",
        "additivity",
        "bioassay",
        "modeling"
      ],
      "contactPoint": {
        "fn": "Elizabeth Medlock Kakaley",
        "hasEmail": "mailto:medlockkakaley.elizabeth@epa.gov"
      },
      "distribution": [
        {
          "title": "Challenging Additivity Manuscript Data_SciHub.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532435/Challenging%20Additivity%20Manuscript%20Data_SciHub.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-25",
      "references": [
        "https://doi.org/10.1021/acs.est.5c11914",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12874505"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Shuping NC PFAS follicular fluid analysis",
      "description": "This data set describes the PFAS targeted analysis in human follicular fluid collected for NC women undergoing in vitro fertilization at a fertility clinic. \n\nThis dataset is associated with the following publication:\nShuping Boney, S., C. Christen, B. Wetmore, A. Murr, D. Raburn, S. Young, C. Abraham, and T. Stoker. First evidence of legacy and emerging per- and polyfluoroalkyl substances (PFAS) in the follicular fluid of a cohort of North Carolina in vitro fertilization (IVF) patients.   REPRODUCTIVE TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 139: 109102, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532520",
      "keyword": [
        "follicular fluid",
        "per and polyfluoroalkyl substances (PFAS)",
        "reproduction",
        "health effects",
        "PFAS",
        "chemical mixtures"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "ShupingFFdataFigures.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1532520/ShupingFFdataFigures.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-09",
      "references": [
        "https://doi.org/10.1016/j.reprotox.2025.109102"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-84.4 33.5568, -76.2344 33.5568, -76.2344 34.8561, -84.4 34.8561, -84.4 33.5568))"
        }
      ],
      "accessRights": "public"
    },
    {
      "title": "AIS port data for vessel activity classification",
      "description": "This dataset represents the AIS data used to develop a method for classifying commercial vessel activity. The data is publicly hosted at  marinecadastre.gov. The metadata below describes the geographic areas and timespans used in the analysis:\n\nPortsmouth Reference\nstart: 01-01-2020\nend: 04-01-2020\nmin LAT: 42.91086\nmin LON: -70.87039\nmax LAT: 43.20808\nmax LON: -70.42733\n\nPortsmouth Trial\nstart: 01-01-2017\nend: 04-01-2017\nmin LAT: 42.92822\nmin LON: -70.85955\nmax LAT: 43.14261\nmax LON: -70.50739\n\nLA/Long Beach Trial\nstart: 01-01-2020\nend: 04-01-2020\nmin LAT: 33.19904\nmin LON: -118.8477\nmax LAT: 34.03939\nmax LON: -117.5002\n\nOakland\nstart: 01-01-2021\nend: 06-01-2021\nmin LAT: 37.76043\nmin LON: -122.54220\nmax LAT: 37.87892\nmax LON: -122.28100\n\nHouston Bay\nstart: 01-01-2021\nend: 06-01-2021\nmin LAT: 29.44628\nmin LON: -95.13600\nmax LAT: 29.68776\nmax LON: -94.64582\n\nHouston Anchorage\nstart: 01-01-2021\nend: 06-01-2021\nmin LAT: 29.22896\nmin LON: -94.82127\nmax LAT: 29.38473\nmax LON: -94.60308. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-cscg",
      "keyword": [
        "ocean going vessels",
        "AIS",
        "vessel activity",
        "operating mode"
      ],
      "contactPoint": {
        "fn": "Michael Aldridge",
        "hasEmail": "mailto:aldridge.michael@epa.gov"
      },
      "distribution": [
        {
          "title": "https://hub.marinecadastre.gov/pages/vesseltraffic",
          "accessURL": "https://hub.marinecadastre.gov/pages/vesseltraffic",
          "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html"
        }
      ],
      "modified": "2021-06-01",
      "references": [
        "https://doi.org/10.1177/03611981261443189"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "flooded homes website development ",
      "description": "interviews and focus groups that supported the development of the flooded homes website by understanding potential user needs and the social experiences with flooded homes. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: It is available at C:\\Users\\KMAXWELL\\OneDrive - Environmental Protection Agency (EPA)\\Documents\\EPA NHSRC\\EPA work\\RESES 19\\RESES Social Science. Format: This dataset consists of interview and focus group notes and transcripts with participants. It contains details such as experiences with flooding. Its release would compromise participants' confidentiality and data privacy. \n\nThis dataset is associated with the following publication:\nMaxwell, K., and C. Milhollin. Human-Centered Design of Risk Communication for Flooded Home Remediation.   Natural Hazards Review. American Society of Civil Engineers  (ASCE), Reston, VA, USA, 27(3): 05026009, (2026).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532431",
      "keyword": [
        "social science",
        "risk communication",
        "flooding",
        "indoor air quality"
      ],
      "contactPoint": {
        "fn": "Keely Maxwell",
        "hasEmail": "mailto:maxwell.keely@epa.gov"
      },
      "distribution": [],
      "modified": "2025-07-24",
      "references": [
        "https://doi.org/10.1061/nhrefo.nheng-2689"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "CMAQ Model Version 5.5 CRACMM2 CAP-HAP Input Data – 12/01/2024 - 12/31/2025 12km CONUS (v1)",
      "description": "This dataset includes CMAQ input data for the CRACMM2 chemical mechanism for a 12/01/2024 - 12/31/2025 simulation over the Continental US. The files are consistent with CMAQv5.5 CRACMM2, but data can be used in CMAQv5.4 and later and all versions of CRACMM with appropriate adjustments. Data include emissions, meteorology, fertilizer information, lightning information, model initial chemical conditions, and surface information for the domain. This dataset continues the collection of years for which CRACMM inputs across the U.S. are publicly available (currently 2018, 2019, 2020, 2022, and 2023).\n\nThis dataset can be cited as: US EPA, 2026, \"CMAQ Model Version 5.5 CRACMM2 CAP-HAP Input Data – 12/01/2024 - 12/31/2025 12km CONUS\", https://doi.org/10.15139/S3/JYXFZY, UNC Dataverse, V1.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-tg63",
      "keyword": [
        "CMAQ",
        "Ozone",
        "Meteorology",
        "pm2.5",
        "CRACMM",
        "emissions"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/JYXFZY",
          "accessURL": "https://doi.org/10.15139/S3/JYXFZY",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "2025cracmminputs_README.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-tg63/2025cracmminputs_README.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-07-06",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ CRACMM Output for Summer 2023 with and without fires over the U.S. and Canada (v1)",
      "description": "This dataset includes CMAQ CRACMM output for summer 2023 across the U.S. and Canada for a base simulation and simulation without fires. This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research and the user should verify the data is suitable for their intended use.\n\nData include surface-level hourly concentrations of pollutants for June, vertical pollutant concentrations for June, daily pollutant concentrations for May 1-September 30, and vertical pollutant concentrations at select locations throughout the summer.\n\nThis dataset can be cited as: Pye, Havala, 2026, \"CMAQ v5.5+ CRACMM Gridded Output for Summer 2023 with and without fires over the U.S. and Canada\", https://doi.org/10.15139/S3/I7PKE7, UNC Dataverse, V1.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-c4d6",
      "keyword": [
        "Ozone",
        "CRACMM",
        "CMAQ",
        "Wildland Fire",
        "pm2.5"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.1079878",
          "accessURL": "https://doi.org/10.5281/zenodo.1079878",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/GL41QC",
          "accessURL": "https://doi.org/10.15139/S3/GL41QC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.16099069",
          "accessURL": "https://doi.org/10.5281/zenodo.16099069",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/I7PKE7",
          "accessURL": "https://doi.org/10.15139/S3/I7PKE7",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_2023modeloutput_fire_final.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-c4d6/README_2023modeloutput_fire_final.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-06-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "CMAQ v5.5+ CRACMM2 Gridded Output for Summer 2023 and Monoterpene Sensitivities over the U.S. and Canada (v1)",
      "description": "This dataset includes CMAQ version 5.5+ output for June-August 2023 across the U.S. and Canada for a base simulation and 5 emissions sensitivity simulations examining monoterpenes. This data product has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for public release. At the time of release, the data had not yet been published in peer-reviewed literature. The data is provided for research, and the user should verify the data is suitable for their intended use.\n\nThis dataset can be cited as: Pye, Havala, 2026, \"CMAQ v5.5+ CRACMM2 Gridded Output for Summer 2023 and Monoterpene Sensitivities over the U.S. and Canada\", https://doi.org/10.15139/S3/Z8XVNL, UNC Dataverse, V1.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-23mt",
      "keyword": [
        "monoterpenes",
        "pm2.5",
        "CRACMM",
        "CMAQ"
      ],
      "contactPoint": {
        "fn": "Havala Pye",
        "hasEmail": "mailto:pye.havala@epa.gov"
      },
      "distribution": [
        {
          "title": "https://github.com/USEPA/CMAQ",
          "accessURL": "https://github.com/USEPA/CMAQ",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://github.com/USEPA/CRACMM",
          "accessURL": "https://github.com/USEPA/CRACMM",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.15139/S3/GL41QC",
          "accessURL": "https://doi.org/10.15139/S3/GL41QC",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "README_2023modeloutput_terp_final.txt",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-23mt/README_2023modeloutput_terp_final.txt",
          "mediaType": "text/plain",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.13883210",
          "accessURL": "https://doi.org/10.5281/zenodo.13883210",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-06-05",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "H20 quality 2026",
      "description": "The worksheet contains microbial, disinfection byproduct (DBP), and other water quality parameters at public water systems distribution network.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-x7xh",
      "keyword": [
        "metals",
        "drinking water quality",
        "Anions"
      ],
      "contactPoint": {
        "fn": "Maura Donohue",
        "hasEmail": "mailto:donohue.maura@epa.gov"
      },
      "distribution": [
        {
          "title": "H2O 2025_2026.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-x7xh/H2O%202025_2026.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-07-07",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "SARS-CoV-2 salivary assay validation data",
      "description": "This dataset contains the results of SARS-CoV-2 antibody tests, demographic information on survey participants, data on symptom severity, and dates of COVID-19 onset or diagnosis and sample collection for this survey. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Assay validation survey data is available upon request. Eligible researchers can contact study investigators Timothy Wade (wade.tim@epa.gov) or Andrey Egorov (egorov.andrey@epa.gov). Format: The dataset includes PII data such as age, sex, data of COVID-19 diagnosis, and state of residence, for control pre-pandemic samples and demographic data for COVID-19 convalescent samples. \n\nThis dataset is associated with the following publication:\nWade, T., A. Egorov, S. Griffin, M. Fuzawa, J. Kobylanski, R. Grindstaff, W. Padgett, S. Simmons, D. Hallinger, J. Styles, L. Wickersham, E. Sams, and E. Hudgens. A Multiplex Noninvasive Salivary Antibody Assay for SARS-CoV-2 Infection and Its Application in a Population-Based Survey by Mail.   Microbiology Spectrum. American Society for Microbiology, Washington, DC, USA, 9: 2, (2021).",
      "accessLevel": "restricted public",
      "rights": [
        "EPA Category: Personally Identifiable Information (PII), NARA Category: Privacy"
      ],
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532193",
      "keyword": [
        "COVID-19",
        "SARS-CoV-2",
        "Antibody",
        "saliva"
      ],
      "contactPoint": {
        "fn": "Andrey Egorov",
        "hasEmail": "mailto:egorov.andrey@epa.gov"
      },
      "distribution": [],
      "modified": "2025-04-16",
      "references": [
        "https://doi.org/10.1128/spectrum.00693-21",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8557941"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "title": "Dataset for role of oceanic biogenic emissions of dimethyl sulfide in air sulfur chemistry along the southeastern Pacific Chilean coast",
      "description": "Dataset for role of oceanic biogenic emissions of dimethyl sulfide in air sulfur chemistry along the southeastern Pacific Chilean coast. This dataset is not publicly accessible because: EPA does not have the dataset as it was generated by Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile. Please contact Ernesto Pino-Cortés at ernesto.pino@pucv.cl. It can be accessed through the following means: EPA does not have the dataset as it was generated by Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile. Please contact Ernesto Pino-Cortés at ernesto.pino@pucv.cl. Format: EPA does not have the dataset as it was generated by Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile. Please contact Ernesto Pino-Cortés at ernesto.pino@pucv.cl. \n\nThis dataset is associated with the following publication:\nPino-Cortés, E., M. Martínez-Pastén, S. Carrasco, K. Gómez , J. Fu, F. González Taboada , A. Saiz-Lopez, R. Fernandez , J. Acosta, G. Sarwar, and J. Höfer. Role of oceanic biogenic emissions of dimethyl sulfide in air sulfur chemistry along the southeastern Pacific Chilean coast.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 17(8): 103089, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-zgk2",
      "keyword": [
        "DMS",
        "SO2",
        "CMAQ",
        "oceanic emissions",
        "South Pacific"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2026-05-05",
      "references": [
        "https://doi.org/10.1016/j.apr.2026.103089"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Evaluating satellite and modeled lake surface water temperature across the contiguous United States.",
      "description": "Data points from Landsat, water quality portal, and national lakes assessment for the surface water temperature model. This dataset is not publicly accessible because: It is too large to be uploaded. It can be accessed through the following means: Code used for the analysis are available from: https://github.com/usepa/sw_model. Format: All work was performed using RStudio version 4.4.1. \n\nThis dataset is associated with the following publication:\nSchaeffer, B., H. Ferriby, W. Salls, N. Reynolds, J. Hollister, B. Kreakie, S. Shivers, B. Johnson, O. Cronin-Golomb, K. Meyers, and M. Beal. Evaluating satellite and modeled lake surface water temperature across the contiguous United States.   HYDROBIOLOGIA. Springer, New York, NY, USA, 853: 3715–3737, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532095",
      "keyword": [
        "random forest",
        "satellite",
        "water quality",
        "surface water temperature",
        "model",
        "Landsat"
      ],
      "contactPoint": {
        "fn": "Blake Schaeffer",
        "hasEmail": "mailto:schaeffer.blake@epa.gov"
      },
      "distribution": [],
      "modified": "0024-12-02",
      "references": [
        "https://doi.org/10.1007/s10750-026-06178-z"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/1532095/documents/Temperature_data_dictionary.docx",
        "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
      },
      "accessRights": "public"
    },
    {
      "title": "Dataset for Soil nitrogen oxide emissions and their impacts on air quality over the United States",
      "description": "Dataset for Soil Nitrogen Oxide Emissions and their Impacts on Air Quality Over the United States. This dataset is not publicly accessible because: EPA did not generate the dataset. Rice University generated it. It can be accessed through the following means: Professor Daniel Cohan of Rice University can be contacted for the dataset. \r\nEmail: cohan@rice.edu. Format: N/A. \n\nThis dataset is associated with the following publication:\nParajuli, G., L. Luo, G. Sarwar, and D.S. Cohan. Soil nitrogen oxide emissions and their impacts on air quality over the United States.   ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam,  NETHERLANDS, 382: 122225, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-3690",
      "keyword": [
        "Soil NO and HONO emissions",
        "Agroecosystem modeling",
        "Ozone",
        "model evaluation"
      ],
      "contactPoint": {
        "fn": "Golam Sarwar",
        "hasEmail": "mailto:sarwar.golam@epa.gov"
      },
      "distribution": [],
      "modified": "2026-05-29",
      "references": [
        "https://doi.org/10.1016/j.atmosenv.2026.122225"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "2025_BlumSuperfund",
      "description": "Data associated with publication regarding Superfund site data of surface water, bioaccumulation (fish, mussels, etc.), and the impact on remediation. \n\nThis dataset is associated with the following publication:\nBlum, D., K. Miller, and R. Burgess. Effectiveness of remediation at contaminated sediment sites based on measurements of bioavailability: Testing a conceptual approach.   Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 22(4): 1123–1144, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532415",
      "keyword": [
        "bioaccumulation",
        "bioavailability",
        "evaluation",
        "Superfund",
        "remediation",
        "Retrospective"
      ],
      "contactPoint": {
        "fn": "Danielle Blum",
        "hasEmail": "mailto:blum.danielle@epa.gov"
      },
      "distribution": [
        {
          "title": "https://data.mendeley.com/preview/9bh5f7dgjn?a=18ec4be7-4e35-4f82-a03e-9265ee53d969",
          "accessURL": "https://data.mendeley.com/preview/9bh5f7dgjn?a=18ec4be7-4e35-4f82-a03e-9265ee53d969",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-07-02",
      "references": [
        "https://doi.org/10.1093/inteam/vjag026"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Fish length and weight data",
      "description": "Fish length and weight data. This dataset is not publicly accessible because: Data is the property of Isfahan University of Technology, Isfahan, Iran. It can be accessed through the following means: Contact Isfahan University of Technology, Isfahan, Iran. Format: The dataset consists of fish length and weight data. \n\nThis dataset is associated with the following publication:\nZare-Shahraki, M., Y. Keivany, E. Ebrahimi, A. Bruder, J. Flotemersch, and K. Blocksom. Length-weight relationships of seven fish species from the Karun River system, southwestern Iran.   Iranian Journal of Ichthyology. Iranian Society of Ichthyology, Isfahan,  IRAN, 7(4): 352–355, (2020).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1520920",
      "keyword": [
        "cyprinidae",
        "gobiidae",
        "LWR",
        "nemacheilidae"
      ],
      "contactPoint": {
        "fn": "Joseph Flotemersch",
        "hasEmail": "mailto:flotemersch.joseph@epa.gov"
      },
      "distribution": [],
      "modified": "2020-10-01",
      "references": null,
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Spatially explicit sea level rise projections",
      "description": "The DOIs reference Esri FileGeodatabases (FGDB) that contain both raster and vector representations of the sea-level rise projections described in the manuscript. Also provided is an Esri toolbox (created in ModelBuilder) that recreates the processing steps used to generate the projections. \n\nThis dataset is associated with the following publication:\nKonfirst, M.A., C. Feinman, and P.E. Morefield. Sea-level rise projections tailored for spatial adaptation planning in the U.S..   Scientific Data. Springer Nature, LONDON,  UK, 13(1): 1053, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/1532235",
      "keyword": [
        "Human Health Risk",
        "Land management",
        "climate change",
        "downscaling"
      ],
      "contactPoint": {
        "fn": "Philip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "distribution": [
        {
          "title": "https://doi.org/10.5281/zenodo.15265448",
          "accessURL": "https://doi.org/10.5281/zenodo.15265448",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "https://doi.org/10.5281/zenodo.15212257",
          "accessURL": "https://doi.org/10.5281/zenodo.15212257",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-01-01",
      "references": [
        "https://doi.org/10.1038/s41597-026-06669-7",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13369947"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Algal and environmental data used to develop algal indicators for streamflow duration assessment methods in forested headwater streams",
      "description": "Algal cover (index), density (individuals/cm2) and biovolume (um3/cm2) for diatoms (species and genus-levels) and soft-bodied taxa (genus-level) and environmental data (hydrology, geomorphology, macroinvertebrate, physicochemical, watershed) from 508 samples across 22 ephemeral, 37 intermittent, and 51 perennial reaches distributed along 31 forested headwater streams within 4 ecoregions in the contiguous United States. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-v513",
      "keyword": [
        "intermittent",
        "perennial",
        "ephemeral",
        "epilithon",
        "diatoms",
        "indicators",
        "flow classification",
        "drying",
        "Algae",
        "Headwater"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "https://ars.els-cdn.com/content/image/1-s2.0-S1470160X26004802-mmc1.xlsx",
          "accessURL": "https://ars.els-cdn.com/content/image/1-s2.0-S1470160X26004802-mmc1.xlsx",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-10-01",
      "references": [
        "https://doi.org/10.1016/j.ecolind.2026.115080",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13426848",
        "https://pasteur.epa.gov/uploads/10.23719/d-v513/documents/Fritz_etal2026.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-121.5339 37.4733, -72.2249 37.4733, -72.2249 47.05, -121.5339 47.05, -121.5339 37.4733))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/d-v513/documents/Data%20Dictionary%20for%20Algal%20and%20environmental%20data.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Final data and code for USEPA's Arid West, Western Mountains, Great Plains, Northeast, and Southeast regional SDAMs",
      "description": "Hydrological (including Stream Temperature, Intermittency and Conductivity logger) biological, geomorphological, and geospatial data and R code used to develop five regional Streamflow Duration Assessment Methods (SDAMs) for the Arid West, Western Mountains, Great Plains, Northeast, and Southeast regions of the contiguous United States. Data files include a unified dataset files from those used to develop the five regional SDAMs and the R code is organized into three separate subfolders containing scripts, data files, and metadata for the development of 1) Arid West and Western Mountain (Western Methods) SDAMs, 2) Great Plains SDAM, and 3) Northeast and Southeast (Eastern Methods) SDAMs. Citation information for this dataset can be found in Data.gov's References section.",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-v0jj",
      "keyword": [
        "classification",
        "drying",
        "ephemeral",
        "hydrology",
        "indicators",
        "intermittency",
        "intermittent",
        "perennial",
        "permanence",
        "rapid assessment",
        "temporary"
      ],
      "contactPoint": {
        "fn": "Ken Fritz",
        "hasEmail": "mailto:fritz.ken@epa.gov"
      },
      "distribution": [
        {
          "title": "Final data and code for AW, WM, GP, NE and SE SDAMs.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-v0jj/Final%20data%20and%20code%20for%20AW%2C%20WM%2C%20GP%2C%20NE%20and%20SE%20SDAMs.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2025-06-25",
      "references": [
        "https://pasteur.epa.gov/uploads/10.23719/d-v0jj/documents/Final-AW_WM_SDAM_UserManual_October%202024.pdf",
        "https://pasteur.epa.gov/uploads/10.23719/d-v0jj/documents/Final-GP-SDAM_User_Manual_October2024.pdf",
        "https://www.epa.gov/streamflow-duration-assessment",
        "https://github.com/USEPA/SDAM-web-app/tree/main",
        "https://www.hydroshare.org/resource/fb4e7b8758d0478cbfe0d6c786f0f968/",
        "https://pasteur.epa.gov/uploads/10.23719/d-v0jj/documents/Final-NE_SE_SDAM_UserManual_august_2025.pdf"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.1543 27.5239, -68.1032 27.5239, -68.1032 48.9304, -124.1543 48.9304, -124.1543 27.5239))"
        }
      ],
      "describedBy": {
        "accessURL": "https://pasteur.epa.gov/uploads/10.23719/d-v0jj/documents/SDAM%20data%20dictionary_Unified%20database.xlsx",
        "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
      },
      "accessRights": "public"
    },
    {
      "title": "Multilaboratory Study of a Nontarget Data Acquisition for Target Analysis (nDATA) Workflow Using Ultrahigh-Performance Liquid Chromatography-High-Resolution Mass Spectrometry for the Screening of 1087 Pesticides in Fresh Fruits and Vegetables",
      "description": "Supporting information for \"Multilaboratory Study of a Nontarget Data Acquisition for Target Analysis (nDATA) Workflow Using Ultrahigh-Performance Liquid Chromatography-High-Resolution Mass Spectrometry for the Screening of 1087 Pesticides in Fresh Fruits and Vegetables\". \n\nThis dataset is associated with the following publication:\nWong, J., J. Wang, W. Chow, R. Carlson, A. Williams, N. Lingenfelter , K. Nguyen, T. Tu, N. Saini, K. Zhang, D. Hayward, and J. Chang. Multilaboratory Study of a Nontarget Data Acquisition for Target Analysis (nDATA) Workflow Using Ultrahigh-Performance Liquid Chromatography-High-Resolution Mass Spectrometry for the Screening of 1087 Pesticides in Fresh Fruits and Vegetables.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. American Chemical Society, Washington, DC, USA, 73(14): 8632-8650, (2025).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-9tbw",
      "keyword": [
        "Nontarget Data Acquisition for Target Analysis",
        "data-independent acquisition",
        "high-resolution mass spectrometry",
        "pesticide screening"
      ],
      "contactPoint": {
        "fn": "Antony Williams",
        "hasEmail": "mailto:williams.antony@epa.gov"
      },
      "distribution": [
        {
          "title": "jf5c00264_si_002.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_002.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "jf5c00264_si_001.pdf",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_001.pdf",
          "mediaType": "application/pdf",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_008.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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          "title": "jf5c00264_si_007.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_007.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
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        {
          "title": "jf5c00264_si_006.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_006.xlsx",
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          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "jf5c00264_si_005.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_005.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "jf5c00264_si_004.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_004.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        },
        {
          "title": "jf5c00264_si_003.zip",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-9tbw/jf5c00264_si_003.zip",
          "mediaType": "application/zip",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-03-05",
      "references": [
        "https://doi.org/10.1021/acs.jafc.5c00264",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13367377"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "title": "Examining in vivo effects of Silychristin, an inhibitor of thyroid hormone MCT*",
      "description": "Here we examined the in vivo effects of exposure to a potent in vitro inhibitor\nof MCT8, the flavonolignan silychristin, on several aspects of the TH system. Adult\nfemale rats were daily gavaged with 0, 250, or 500 mg/kg/day (n = 10/group) of\nsilychristin for 7 days and euthanized on day 8. A smaller group (n = 5/group) of rats\nwas administered the related flavonolignan, silybin (900 mg/kg), or the milk-thistlederived\nflavonolignan mixture, silymarin (1,500 mg/kg). Serum TH concentrations\nwere not changed in any treatment group. Mct8 and Oatp1c1 expression were\nupregulated in the choroid plexus upon silymarin exposure, without change in\nresponse to silychristin or silybin. Deiodinase 1 and dehalogenase activities,\nunchanged in the liver, were increased in the thyroid by the high dose of\nsilychristin. \n\nThis dataset is associated with the following publication:\nRenko, K., R. Thomas, M. Hawks, J. Ford, J. Köhrle, M. Axelstad, and M.E. Gilbert. Examining in vivo effects of silychristin, a potent in vitro inhibitor of thyroid hormone transporter MCT8.   Frontiers in Toxicology. Frontiers, Lausanne,  SWITZERLAND, 8: 1796387, (2026).",
      "accessLevel": "public",
      "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:000"
      ],
      "identifier": "https://doi.org/10.23719/d-8ww5",
      "keyword": [
        "Silychristin",
        "Thyroid Hormones",
        "MCT8 transporter"
      ],
      "contactPoint": {
        "fn": "Tammy Stoker",
        "hasEmail": "mailto:stoker.tammy@epa.gov"
      },
      "distribution": [
        {
          "title": "Science Hub M0223_Silychristin_for Kostja.xlsx",
          "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/d-8ww5/Science%20Hub%20M0223_Silychristin_for%20Kostja.xlsx",
          "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
          "license": "https://pasteur.epa.gov/license/sciencehub-license.html"
        }
      ],
      "modified": "2026-01-26",
      "references": [
        "https://doi.org/10.3389/ftox.2026.1796387",
        "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13138798"
      ],
      "publisher": {
        "name": "U.S. Environmental Protection Agency",
        "subOrganizationOf": [
          {
            "name": "U.S. Government"
          }
        ]
      },
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Demographics for US Census Tracts - 2012 (American Community Survey 2008-2012 Derived Summary Tables)",
      "description": "This map service displays data derived from the 2008-2012 American Community Survey (ACS). Values derived from the ACS and used for this map service include: Total Population, Population Density (per square mile), Percent Minority, Percent Below Poverty Level, Percent Age (less than 5, less than 18, and greater than 64), Percent Housing Units Built Before 1950, Percent (population) 25 years and over (with less than a High School Degree and with a High School Degree), Percent Linguistically Isolated Households, Population of American Indians and Alaskan Natives, Population of American Indians and Alaskan Natives Below Poverty Level, and Percent Low Income Population (Less Than 2X Poverty Level). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-05-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4c6928d8-6ac2-4909-8b3d-a29e2805ce2d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2017-05-23",
      "language": [
        "en"
      ],
      "theme": [
        "society"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Agricultural Buffers by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset estimates the average agricultural buffer width, the percentage of agricultural lands with flow paths that would intersect natural land cover before reaching a stream, and the percentage of each subwatershed (12-digit HUC) that is unbuffered agricultural land. Subwatershed summaries are calculated for the contiguous United States. The map uses a combined land use/land cover map from the 2006 National Land Cover Database (NLCD) and the 2010 Cropland Data Layer (CDL). It combines agriculture, forests, grasslands and wetlands with stream networks and elevation datasets in flow path models to find agricultural flow paths that do or do not intersect buffers, and counts the agricultural flow paths through buffers adjacent to streams in order to determine average buffer widths on agricultural lands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "Biology",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Wetlands",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Green Infrastructure",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Quality",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Management",
        "Arkansas",
        "Michigan",
        "Riparian",
        "New Mexico",
        "Natural Resources",
        "Colorado",
        "New York",
        "Mississippi",
        "Oklahoma",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-06-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cb9ce5db-45af-41b0-bc24-6c6ec2eff85d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-06-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2024 agricultural connectivity for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of agriculture (cultivated crops), core fragmentation, and patterns of connectivity among core patches. Agriculture is treated as foreground in this dataset; cultivated crops are separated from the all other land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Green Infrastructure",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Management",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Habitat",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "8A86218D-899E-4386-9833-368E62E29693",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-129.27732 21.805095, -63.11843 21.805095, -63.11843 52.92189, -129.27732 52.92189, -129.27732 21.805095))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Agriculture_connectivity_CONUS_2024.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Agriculture_connectivity_CONUS_2024/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Agricultural Water Demand by 12-Digit HUC for the Conterminous United States",
      "description": "The national agricultural water demand metric provides insight into the amount of water used for agricultural irrigation in the contiguous United States. The estimates are derived from a water usage rate per 30m cell based on 2010 irrigation water use; an indication of agricultural irrigation based on 2011 crop, 2011 land use, and 2007/2012 remotely sensed irrigation; and summarized by watershed or 12-digit hydrologic unit code (HUC). Agricultural irrigation water use, as defined in this case, meets a variety of needs before, during, and after growing seasons (e.g., dust suppression, field preparation, chemical application, weed control, salt removal from root zones, frost protection, crop cooling, and harvesting). Estimates include self-supplied surface and groundwater, as well as supplies from irrigation-specific organizations (e.g., companies, districts, cooperatives, government). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2018-03-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D5113083-CFCD-48EC-BC24-0ADA5B9BDDB7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-03-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2011 Agricultural Land Cover on Steep Slopes for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage land area that is classified as agricultural land cover that occurs on slopes above a given threshold for each 12-digit hydrologic unit code (HUC) in the conterminous United States. Agricultural land cover is defined using the EnviroAtlas hybrid Cropland Data Layer (CDL) - 2011 National Land Cover Dataset (NLCD). Percentage slope values were derived from the 1 arc-second National Elevation Dataset (NED). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-12-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e252c8b9-4183-425e-a4d7-d0f959e1f435}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "title": "EnviroAtlas - Agricultural phosphorus balance for 2012 by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas national map displays the mean phosphorus (P) balance between inorganic fertilizer and confined manure inputs and P crop removal on croplands in the conterminous United States (excluding Hawaii and Alaska) for the year 2012 by 12-digit HUC. These data are based on International Plant Nutrition Institute compilations of county-level fertilizer sales data, confined manure production, and major crop harvest and P content of these crops, as well as the cropland area from the USGS's U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-28",
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
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      "description": "This EnviroAtlas dataset includes annual nitrogen and sulfur deposition within each 12-digit HUC subwatershed for the year 2017.  Values are provided for total oxidized nitrogen (HNO3, NO, NO2, N2O5, NH3, HONO, PAN, organic nitrogen, and particulate NO3), oxidized nitrogen wet deposition, oxidized nitrogen dry deposition, total reduced nitrogen (NH3 and particulate NH4), reduced nitrogen dry deposition, reduced nitrogen wet deposition, total dry nitrogen deposition, total wet nitrogen deposition, total nitrogen deposition (wet+dry), total sulfur (SO2 + particulate SO4) dry deposition, total sulfur wet deposition, and total sulfur deposition.  The dataset is based on output from the Community Multiscale Air Quality modeling system (CMAQ) run using the bidirectional flux option for the 12-km grid size for the US, Canada, and Mexico. The CMAQ output has been post-processed to adjust the wet deposition for errors in the location and amount of precipitation and for regional biases in the TNO3 (HNO3 + NO3), NHx (NH4 + NH3), and sulfate wet deposition. Model predicted values of dry deposition were not adjusted.  This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "South Carolina",
        "Delaware",
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        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Ecosystem Services",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-07-23",
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      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for American Samoa",
      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
      "keyword": [
        "Ecosystem",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Sustainability",
        "Ecosystem Services",
        "American Samoa",
        "Risk",
        "Environmental Atlas",
        "Human Well-being",
        "Hazards",
        "12-digit HUCs",
        "020:072",
        "Impact",
        "EnviroAtlas",
        "Human",
        "Water"
      ],
      "modified": "2024-08-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "86418595-DE19-4A8E-9C9E-6BA21CD1DED6",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-171.144617 -14.62753, -168.086145 -14.62753, -168.086145 -10.982103, -171.144617 -10.982103, -171.144617 -14.62753))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-08-15",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/AMSAM_EnviroAtlas_NEXGDDP_fgdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/AMSAM_EnviroAtlas_NEXGDDP_csv.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for American Samoa",
      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
      "keyword": [
        "Ecosystem",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Sustainability",
        "Ecosystem Services",
        "American Samoa",
        "Risk",
        "Environmental Atlas",
        "Human Well-being",
        "Hazards",
        "12-digit HUCs",
        "020:072",
        "Impact",
        "EnviroAtlas",
        "Human",
        "Water"
      ],
      "modified": "2024-08-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "1BC4A5E5-E89F-457D-A6E8-150D4F571B0C",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-171.144617 -14.62753, -168.086145 -14.62753, -168.086145 -10.982103, -171.144617 -10.982103, -171.144617 -14.62753))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-08-15",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/AMSAM_EnviroAtlas_NEXGDDP_fgdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/AMSAM_EnviroAtlas_NEXGDDP_csv.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 750 block groups in Austin, Texas. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Austin, TX",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F535B25C-3765-487C-B94D-38CCC03925FB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Austin, TX EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-10-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{801C059A-FD0C-4A4A-B7BA-0FE3F7054B3E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-10-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2015-08-04",
      "publisher": {
        "@type": "org:Organization",
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      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BE7FB3E9-FC55-4752-B5E8-D49C0031433C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Austin, TX Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area.This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-10-09",
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      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B5EC1A6D-9EB5-49AB-86F1-C4DED5624A33}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2015-10-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, Forest is defined as Trees & Forest (Trees & Forest - 40 = 1; All Else = 0). Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2017-05-30",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-07",
          "endDate": "2015-04-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential water use reporting in the EnviroAtlas-defined study area is available through the Texas Water Development Board. Within the Austin study area, there are thirteen community estimates from 2012 ranging from 65 to 303 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Austin, TX",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-01-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{007324F1-4696-4A1F-B0B9-CA44CAB4CE95}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-01-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{29D77C83-0C2B-4510-BCB1-CB8C6DEE78C8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-07",
          "endDate": "2015-04-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "Texas",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dd3cc5e6-9465-4e01-968e-62d69cf612c4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A02FC4C1-22D7-4F6E-AE58-EEA8A3CD13D7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-07",
          "endDate": "2015-04-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2145A73F-0784-46CE-AE51-E3558479782E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-12-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{843BE2BC-545A-4A79-A4D3-B72D738F41FA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-07",
          "endDate": "2015-04-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{72177756-4DD2-4133-8E85-C4C46BFAEEE2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.00755 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.00755 30.772723, -98.00755 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 750 block groups in Austin, Texas. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{DA8C85C8-1508-405C-AC06-3A7B6CC183A8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and agriculture. Forest is defined as Trees & Forest. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-10-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{78D84EC0-4C67-4BEA-924A-95C54B0BA030}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-07",
          "endDate": "2015-04-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-10-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Austin, TX -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Austin, TX EnviroAtlas One Meter-scale Urban Land Cover (MULC) Data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m spatial resolution from multiple dates in May, 2010. Six land cover classes were mapped: water, impervious surfaces, soil and barren land, trees, grass-herbaceous non-woody vegetation, and agriculture. An accuracy assessment of 600 completely random and 55 stratified random photo interpreted reference points yielded an overall User's fuzzy accuracy of 87 percent. The area mapped is the US Census Bureau's 2010 Urban Statistical Area for Austin, TX plus a 1 km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Austin, TX",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "Texas",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2015-04-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{91A32A9D-96F5-4FA0-BC97-73BAD5D1F158}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.023006 30.089667, -97.47254 30.089667, -97.47254 30.774687, -98.023006 30.774687, -98.023006 30.089667))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-04-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8931687C-D67A-4921-8760-806EF0B718C1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1593D987-BFBB-40BC-A807-8C8A03062224}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5C8D8D98-7058-4A34-8512-668D98426CEE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-12-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6D2657C3-52F8-4E41-BC35-00EE9DAADE4E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-08-03",
          "endDate": "2015-08-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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      ],
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      "rights": [
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      ],
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      ],
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      ],
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        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. Forest is defined as Trees & Forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C918DC4C-DE6F-4245-85BC-17D70E6B2512}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-12-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Austin, TX EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-10-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{801C059A-FD0C-4A4A-B7BA-0FE3F7054B3E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-10-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/ATX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Precipitation 1981-2010 by HUC12 for the Conterminous United States",
      "description": "This EnviroAtlas dataset provides the average annual precipitation by 12-digit Hydrologic Unit (HUC). The values were estimated from maps produced by the PRISM Climate Group, Oregon State University. The original data was at the scale of 800 m grid cells representing average precipitation from 1981-2010 in mm. The data was converted to inches of precipitation and then zonal statistics were estimated for a final value of average annual precipitation for each 12 digit HUC. For more information about the original dataset please refer to the PRISM website at http://www.prism.oregonstate.edu/. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Natural Resources",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2EE188C3-F66A-49CC-AD6D-EE7C59F1C137}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-10-31",
          "endDate": "2012-10-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Community Block Group Metrics Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes layers depicting EnviroAtlas metrics at the block group level within each EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Birmingham, AL",
        "Green Bay, WI",
        "Demand for Ecosystem Services",
        "Tennessee",
        "Austin, TX",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Florida",
        "Sonoma County, CA",
        "Utah",
        "Alabama",
        "Ecology",
        "Drinking Water",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Recreation",
        "New York",
        "St. Louis, MO",
        "geospatial",
        "Modeling",
        "Surface Water",
        "Durham, NC",
        "Transportation",
        "Massachusetts",
        "San Diego, CA",
        "Des Moines, IA",
        "Fresno, CA",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "Portland, OR",
        "Demographics",
        "Census Block Groups",
        "North Carolina",
        "Baltimore, MD",
        "Tampa, FL",
        "Washington",
        "Woodbine, IA",
        "New Haven, CT",
        "Sites",
        "Land Cover",
        "Riparian",
        "Texas",
        "Cleveland, OH",
        "Utilities",
        "Minneapolis/St. Paul, MN",
        "Ecosystem",
        "Memphis, TN",
        "Iowa",
        "Trees",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Exposure",
        "Missouri",
        "Illinois",
        "Connecticut",
        "Brownsville, TX",
        "Paterson, NJ",
        "New Jersey",
        "Quality",
        "Wisconsin",
        "Ground Water",
        "New Bedford, MA",
        "Impact",
        "Natural Resources",
        "Communities",
        "Chicago, IL",
        "Washington, DC",
        "Boundaries",
        "Tacoma, WA",
        "New York, NY",
        "Human",
        "District of Columbia",
        "Minnesota",
        "Philadelphia, PA",
        "Climate",
        "Maine",
        "Environment",
        "Society",
        "Maryland",
        "Phoenix, AZ",
        "Water",
        "Arizona",
        "Air",
        "Portland, ME",
        "Pennsylvania",
        "Agriculture",
        "California",
        "Virginia"
      ],
      "modified": "2017-02-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{050b5e6e-d82c-47f4-aafd-140efa002e4e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-02-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/Other",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Big Game Hunting Recreation Demand by 12-Digit HUC in the Conterminous United States",
      "description": "This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for big game hunting by location in the contiguous United States. Big game includes deer, elk, bear, and wild turkey. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Boundaries",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ed43f10b-cf7f-4e09-b54e-33b1e4517b6d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - National Biodiversity Ecosystem Services Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains species richness metrics based on habitat models generated by the U.S. Geological Survey (USGS) National Gap Analysis Project (GAP). Ecosystem services, i.e., services provided to humans from ecological systems have become a key issue of this century in resource management, conservation planning, and environmental decision analysis. Mapping and quantifying ecosystem services have become strategic national interests for integrating ecology with economics to help understand the effects of human policies and actions and their subsequent impacts on both ecosystem function and human well-being. Some aspects of biodiversity are valued by humans in varied ways, and thus are important to include in any assessment that seeks to identify and quantify the benefits of ecosystems to humans. Some biodiversity metrics clearly reflect ecosystem services (e.g., abundance and diversity of harvestable species), whereas others may reflect indirect and difficult to quantify relationships to services (e.g., relevance of species diversity to ecosystem resilience, cultural and aesthetic values). Wildlife habitat has been modeled at broad spatial scales and can be used to map a number of biodiversity metrics. We map 24 biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for terrestrial vertebrate species. Metrics include all species richness, taxa specific species richness and other lists identifying species of conservation concern, climate vulnerabilities, etc. This dataset was produced by a joint effort of New Mexico State University, US EPA, and USGS to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "Biology",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Biodiversity",
        "Colorado",
        "Natural Resources",
        "Mississippi",
        "Oklahoma",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-05-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "Center for Applied Spatial Ecology, NMCFWRU, NMSU"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kenneth Boykin",
        "hasEmail": "mailto:kboykin@nmsu.edu"
      },
      "identifier": "{f1579089-bd73-46d5-a1fc-ad6037374064}",
      "accessLevel": "public",
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        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2001-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
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      "issued": "2017-05-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Biodiversity Metrics by 12-digit HUC for the Southeastern United States",
      "description": "This EnviroAtlas dataset was produced by a joint effort of New Mexico State University, US EPA, and the US Geological Survey (USGS) to support research and online mapping activities related to EnviroAtlas. Ecosystem services, i.e., services provided to humans from ecological systems, have become a key issue of this century in resource management, conservation planning, and environmental decision analysis. Mapping and quantifying ecosystem services have become strategic national interests for integrating ecology with economics to help understand the effects of human policies and actions and their subsequent impacts on both ecosystem function and human well-being. Some aspects of biodiversity are valued by humans in varied ways, and thus are important to include in any assessment that seeks to identify and quantify the benefits of ecosystems to humans. Some biodiversity metrics clearly reflect ecosystem services (e.g., abundance and diversity of harvestable species), whereas others may reflect indirect and difficult to quantify relationships to services (e.g., relevance of species diversity to ecosystem resilience, or cultural and aesthetic values). Wildlife habitat has been modeled at broad spatial scales and can be used to map a number of biodiversity metrics. We map 14 biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for all vertebrate species except fish. Metrics include species richness for all vertebrates, specific taxon groups, harvestable species (i.e., waterfowl, furbearers, small game, and big game), threatened and endangered species, and state-designated species of greatest conservation need, as well as a metric for ecosystem (i.e., land cover) diversity. The EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Environment",
        "Land",
        "Biota",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "12-digit HUCs",
        "United States",
        "Florida",
        "Louisiana",
        "Alabama",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Recreation",
        "Natural Resources",
        "Biodiversity",
        "Mississippi",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Habitat",
        "Threatened",
        "Endangered",
        "Species",
        "Georgia",
        "Virginia"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2E288C4F-3908-4A0D-B432-77CD14CD9BCB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-91.9688 23.8067, -74.4361 23.8067, -74.4361 40.6155, -91.9688 40.6155, -91.9688 23.8067))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-01",
          "endDate": "2013-04-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Biodiversity Metrics by 12-digit HUC for the Southwestern United States",
      "description": "This EnviroAtlas dataset was produced by a joint effort of New Mexico State University, US EPA, and the US Geological Survey (USGS) to support research and online mapping activities related to EnviroAtlas. Ecosystem services, i.e., services provided to humans from ecological systems, have become a key issue of this century in resource management, conservation planning, and environmental decision analysis. Mapping and quantifying ecosystem services have become strategic national interests for integrating ecology with economics to help understand the effects of human policies and actions and their subsequent impacts on both ecosystem function and human well-being. Some aspects of biodiversity are valued by humans in varied ways, and thus are important to include in any assessment that seeks to identify and quantify the benefits of ecosystems to humans. Some biodiversity metrics clearly reflect ecosystem services (e.g., abundance and diversity of harvestable species), whereas others may reflect indirect and difficult to quantify relationships to services (e.g., relevance of species diversity to ecosystem resilience, or cultural and aesthetic values). Wildlife habitat has been modeled at broad spatial scales and can be used to map a number of biodiversity metrics. We map 15 biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for all vertebrate species except fish. Metrics include species richness for all vertebrates, specific taxon groups, harvestable species (i.e., waterfowl, furbearers, small game, and big game), threatened and endangered species, and state-designated species of greatest conservation need, as well as a metric for ecosystem (i.e., land cover) diversity. The EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "Biota",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Conservation",
        "Ecosystem Services",
        "12-digit HUCs",
        "United States",
        "Arizona",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Recreation",
        "New Mexico",
        "Natural Resources",
        "Biodiversity",
        "Colorado",
        "geospatial",
        "Modeling",
        "Habitat",
        "Nevada",
        "Threatened",
        "Endangered",
        "Species",
        "Utah"
      ],
      "modified": "2015-05-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{80560C72-C9B8-4CBB-B480-CE8A39167E58}",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.067 28.9403, -100.7463 28.9403, -100.7463 44.1821, -122.067 44.1821, -122.067 28.9403))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2013-03-25",
          "endDate": "2013-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
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      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Above Ground Live Tree Biomass Carbon Storage by 12-Digit HUC for the Conterminous United States - Forested",
      "description": "This EnviroAtlas dataset includes the sum of aboveground live dry biomass estimate by 12-digit Hydrologic Unit (HUC) in total metric tons (megagrams) from the 2000 National Biomass and Carbon Dataset (Version 2.0) developed by the Woods Hole Research Center and released in October 2012. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Biophysical",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-10-20",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.229655487448 51.1568278424693, 179.856674735386 51.1568278424693, 179.856674735386 71.4395725901531, -179.229655487448 71.4395725901531, -179.229655487448 51.1568278424693))"
        }
      ],
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      ],
      "accrualPeriodicity": "irregular",
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      "issued": "2017-10-20",
      "language": [
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      "theme": [
        "environment"
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 577 block groups in Birmingham, AL. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Jefferson and Shelby counties Alabama. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Alabama",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health"
      ],
      "modified": "2017-09-22",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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      },
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      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
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          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Birmingham, AL EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-09-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{474fffbf-b986-4274-b789-effef77d98ef}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Birmingham, AL",
        "Human"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{76afedc8-743c-4ddb-ac7f-ec0dca838778}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Birmingham, AL EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Alabama",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8c47c831-4e10-4516-9d9e-e0b2cdd06bd7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is defined as Trees & Forest and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Alabama",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "Brimingham, AL",
        "EnviroAtlas"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c1b9998a-d2b4-4036-8a93-8e747edabafb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use in this EnviroAtlas-defined study area is estimated at 67-86 GPD across three counties. It was calculated as a weighted average of U.S. Geological Survey (USGS) Water Use estimates for public-supplied and self-supplied use according to population. The dasymetric data is a geospatial distribution of population across the landscape. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Birmingham, AL",
        "Water"
      ],
      "modified": "2017-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5c30643f-c915-4a32-a260-250749b1cca8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.072809 33.04981, -86.469574 33.04981, -86.469574 33.808944, -87.072809 33.808944, -87.072809 33.04981))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{63be9dda-a860-4b65-b8e6-aefc85a57970}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Alabama",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-09-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fae9d86f-ddc5-4854-9877-b6bd5e2bd267}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1aef67b8-2c28-489a-825e-e0879ead64f4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0d4ca174-a35a-4f71-beaa-7a2fa20f83a7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{afe7fa74-279c-4fd7-8230-79d4673248f7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Alabama",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c892e710-81cf-4ba3-a551-8024ffa7049f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 577 block groups in Birmingham, Alabama. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Water"
      ],
      "modified": "2017-09-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fdcb57f7-315c-4efc-b768-13e44ec0dc8c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "EnviroAtlas",
        "Birmingham, AL",
        "Natural Resources"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6890399a-0e2d-4124-b1be-630592468fb0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Birmingham, Alabama -- Meter-Scale Urban Land Cover (MULC) Data (2011)",
      "description": "The Birmingham, AL EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 2,778 km2 around the city of Birmingham and portions of surrounding counties. The area classified is based on the US Census Bureau's 2010 Urban Area for Birmingham, AL with a 1 km buffer added. This area includes the majority of Jefferson County and a large percentage of Shelby County, as well as very small portions of Bibb, Blount, Chilton, and St. Clair counties. These MULC data and maps were derived from 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) that were collected in summer 2011. LiDAR datasets collected in 2010, 2011 and 2013 were also used to create this MULC. Six land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forest, Grass/Herbaceous Non-Woody Vegetation, and Wetlands (Woody and Emergent). Wetlands were obtained from the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer. An analysis of 500 completely random and 95 stratified random photo-interpreted land cover reference points yielded an overall user's accuracy of 83.4% (MAX) and an overall fuzzy user's accuracy of 87.6% (RIGHT) (see confusion matrices below). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Alabama",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d7918101-6cdf-4502-ac57-f5740f92f83e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.083852 33.03973, -86.457254 33.03973, -86.457254 33.818059, -87.083852 33.818059, -87.083852 33.03973))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Alabama",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{342927af-c877-42fe-8d1e-4c72222e43a5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2017-12-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{59f50d56-4299-4655-93c3-bd7834dd003b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-12-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Birmingham, AL"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e2f2445f-f7df-4b83-9004-eb4e1c45bed9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Alabama",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{8ce1d8f0-7f92-4c82-baa9-30bedfa70e7d}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
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          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Alabama",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9c026499-8ddb-4b2c-ae69-434876e66f7d}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "geospatial",
        "Environment",
        "Alabama",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
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        "Natural Resources",
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      ],
      "modified": "2017-09-06",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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      },
      "identifier": "{55ffcbd7-a1e9-4d3a-af50-f21fb6871082}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
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          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. Vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environmental Atlas",
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      ],
      "modified": "2017-09-06",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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      },
      "identifier": "{c75fb2e0-0a07-415d-a5dc-f6d4037cf8e5}",
      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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      ],
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      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. Vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
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      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest and Woody Wetlands and vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Birmingham, AL",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{00b9b5a6-1182-4acd-8768-cfee0ed42cb6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Natural Resources"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e0667c60-0a0e-48e6-9fc2-ee112271a8f1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Birmingham, AL - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Alabama",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Birmingham, AL",
        "Water"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9fc61967-e135-45a4-b382-92291160de41}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-87.07297 33.04874, -86.47279 33.04874, -86.47279 33.80908, -87.07297 33.80908, -87.07297 33.04874))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BirAL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Bird Watching Recreation Demand by 12-Digit HUC in the Conterminous United States",
      "description": "This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for bird watching by location in the contiguous United States. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Boundaries",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cf08727d-e248-43cb-8f4f-6d0055f5d99d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Bird National Biodiversity Ecosystem Services Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This dataset was produced by a joint effort of New Mexico State University (NMSU), the U.S. Environmental Protection Agency (EPA), and the U.S. Geological Survey (USGS) to support research and online mapping activities related to EnviroAtlas. Ecosystem services, i.e., services provided to humans from ecological systems, have become a key issue of this century in resource management, conservation planning, and environmental decision analysis. Mapping and quantifying ecosystem services have become strategic national interests for integrating ecology with economics to help understand the effects of human policies and actions and their subsequent impacts on both ecosystem function and human well-being. Some aspects of biodiversity are valued by humans in varied ways, and thus are important to include in any assessment that seeks to identify and quantify the benefits of ecosystems to humans. Some biodiversity metrics clearly reflect ecosystem services (e.g., abundance and diversity of harvestable species), whereas others may reflect indirect and difficult to quantify relationships to services (e.g., relevance of species diversity to ecosystem resilience, or cultural and aesthetic values). Wildlife habitat has been modeled at broad spatial scales and can be used to map a number of biodiversity metrics. We map 15 biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for bird species. Metrics include all bird species richness, lists identifying species of conservation concern, climate vulnerabilities, etc. This dataset was produced by the Center for Applied Spatial Ecology, New Mexico Cooperative Fish and Wildlife Unit (NMCFWRU), NMSU to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "Biology",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Endangered",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-10-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0b373eb0-ed61-43ae-ae87-1db3907159c8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-04-06",
          "endDate": "2015-04-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-10-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1648 block groups in Baltimore, Maryland. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Baltimore city, and Baltimore, Anne Arundel, and Howard Counties Maryland. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{32d0bcdf-72a0-49e8-95c4-18275b0805ae}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Baltimore, MD EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7d267e1a-e376-43d2-9782-ef8b80d00a86}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cf8bc201-7637-4c6f-8240-83a63eb9a5e6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Baltimore, MD EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9abbd10d-510d-46c2-8106-52c4296be4ae}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a1d2829d-f35f-428d-a22b-ad3751636dc9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use in this EnviroAtlas-defined study area is estimated at 70-80 GPD across four counties. It was calculated as a weighted average of USGS Water Use estimates for public-supplied and self-supplied use according to population. The dasymetric data is a geospatial distribution of population across the landscape. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{86da0478-12a0-45c0-9773-0bc8c56b2a41}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-09-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2bd18e41-b25b-4278-841d-b60dc919bc45}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Risk",
        "Maryland",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{035d0ff6-423a-4b43-ab74-160c8b93b1eb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community,, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3b9c8115-1248-48c7-b2ca-9c0800b25cd6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0c856329-e342-4967-b9cb-5d401b3cee54}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0c478e56-d495-40c6-8639-2018a88642a3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a950ce43-bbe0-44ba-805a-b413147e0092}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1648 block groups in Baltimore, Maryland. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a97c9c19-afc4-4ad9-b6c8-189798795bd3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{06557b12-6e26-4855-93ac-a354851158af}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Meter-Scale Urban Land Cover (MULC) Data",
      "description": "The Baltimore, MD EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 4,545 km2 around the city of Baltimore and portions of surrounding counties. These MULC data and maps were derived from LiDAR and 1-m pixel, four-band (red, green, blue, and infrared light) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) as well as ancillary vector data (e.g., roads, building footprints). Seven land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Trees, Grass/Herbaceous, Agriculture, and Wetlands (Woody and Emergent). Wetlands were delineated using the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer from the years 1981, 1999, and 2013 (http://wetlands.fws.gov). An analysis of about 600 completely random and 90 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 90% and an overall fuzzy user's accuracy (RIGHT) of 93% within the census block group boundary (see confusion matrices below). These data were developed as part of the Chesapeake Bay High-Resolution Land Cover Project, a cooperative agreement between the Chesapeake Conservancy and the National Park Service, funded through an interagency agreement with the Environmental Protection Agency (EPA). The Chesapeake Conservancy, under the direction of Margaret Markham, created the initial statewide 1-meter land cover data. EPA added agriculture and wetlands taken from ancillary data sources. See detailed processing steps and workflow below. This dataset was produced by the Chesapeake Conservancy, the National Park Service, and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Ecosystem Services",
        "Exposure",
        "Baltimore, MD",
        "Maryland",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Recreation",
        "Impact",
        "Natural Resources",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{464dfac7-34e1-4d0d-9caa-6b190ef827d4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Estimated Tree Cover Along Busy Roads",
      "description": "'This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0bbd6d75-31f3-43d7-922e-1fe949fb0538}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{252fdc52-55ea-4f3e-85bd-7e6920b5e4c4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{602d3af8-3553-47c3-86d0-739e35623da6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{920a6fb4-812e-421d-a4fa-f6a328c1f3d3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{797b2524-1f64-4bf6-8dfa-cd836693da66}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{14de2c22-e110-4902-a0b6-7c1ad927d651}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fafda787-b343-424f-b199-4e5bb0bdbc06}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2017-11-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{580d5c5b-ee82-4bef-a392-a0661f2ba88f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-11-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cbd8c3b6-62c4-4c11-abf0-89685bf599c0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2017-11-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ef8daad1-0e4f-4766-a945-a6f3b89883e0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-11-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest and Woody Wetlands and vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Maryland",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0ddbc0f0-f4ce-4383-b114-35cef2094b7a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.16746 38.70015, -76.29645 38.70015, -76.29645 39.72731, -77.16746 39.72731, -77.16746 38.70015))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7e7e910f-4ae0-4ce4-bf4c-ccca5e73dbde}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Baltimore, MD - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Baltimore, MD",
        "Environmental Atlas",
        "Human Well-being",
        "Maryland",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e6afe207-07cf-4917-b533-279a57aa40c3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.19886 38.71327, -76.27793 38.71327, -76.27793 39.71371, -77.19886 39.71371, -77.19886 38.71327))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BMD_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Biological nitrogen fixation in natural/semi-natural ecosystems by 12-digit HUC for the Conterminous United States, 2006",
      "description": "This EnviroAtlas dataset contains data on the mean biological nitrogen fixation in natural/semi-natural ecosystems per 12-digit Hydrologic Unit (HUC) in 2006. Biological N fixation (BNF) in natural/semi-natural ecosystems was estimated using a correlation with actual evapotranspiration (AET). This correlation is based on a global meta-analysis of BNF in natural/semi-natural ecosystems (Cleveland et al. 1999). AET estimates for 2006 were calculated using a regression equation describing the correlation of AET with climate (average annual daily temperature, average annual minimum daily temperature, average annual maximum daily temperature, and annual precipitation) and land use/land cover variables in the conterminous US (Sanford and Selnick 2013). Data describing annual average minimum and maximum daily temperatures and total precipitation for 2006 were acquired from the PRISM climate dataset (http://prism.oregonstate.edu). Average annual climate data were then calculated for individual 12-digit USGS Hydrologic Unit Codes (HUC12s; https://water.usgs.gov/GIS/huc.html; 22 March 2011 release) using the Zonal Statistics tool in ArcMap 10.0. AET for individual HUC12s was estimated using equations described in Sanford and Selnick (2013). BNF in natural/semi-natural ecosystems within individual HUC12s was modeled with an equation describing the statistical relationship between BNF (kg N ha-1 yr-1) and actual evapotranspiration (AET; cm yr-1) and scaled to the proportion of non-developed and non-agricultural land in the HUC12. The first half of the equation represents the most conservative estimate in a meta-analysis of BNF in natural/semi-natural ecosystems (Cleveland et al. 1999), and was chosen over the central and high estimates because recent, top-down global mass balances that suggest that natural BNF rates are less than previous estimates based on scaled-up estimates from individual plots (Vitousek et al. 2013). The land use/land cover modifier is not included in the original Cleveland et al. (1999) analysis. We believe it is appropriate to include so as not to overestimate BNF in HUC12s with large proportions of urban or agricultural development. These data represent an average N input to individual HUC12s, i.e., they are not specific to an individual land use type within the HUC12. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1B0B5221-C726-4E7D-93FD-23F7A4FF8930}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-09-27",
          "endDate": "2013-09-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 120 block groups in Brownsville, Texas. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cameron County, Texas. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7a6ad987-9cef-4700-920c-943f92c759b3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Brownsville, TX EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Brownsville, TX",
        "EnviroAtlas"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a317a16a-bc78-4417-820a-c48c3bcb39fe}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "Brownsville, TX",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "enviroatlas-brownsville-tx-demographics-by-block-group",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Brownsville, TX EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Brownsville, TX",
        "EnviroAtlas"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "enviroatlas-brownsville-tx-enviroatlas-community-boundary",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Brownsville, TX",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{43c05732-038a-4bf2-b263-03941b066dee}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.67378 25.83998, -97.1411 25.83998, -97.1411 26.17557, -97.67378 26.17557, -97.67378 25.83998))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Per capita water use within the EnviroAtlas-defined study area is available through the Texas Water Development Board. The estimated water use per capita per day in Brownsville in 2015 was 101 gallons. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Brownsville, TX",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-09-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{51c32bba-fccb-46b6-8383-9af40841eda5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Brownsville, TX",
        "EnviroAtlas"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f8f1dd79-78be-474d-a4e8-763621823946}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Brownsville, TX",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "Texas",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2019-11-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b381bd57-04c0-4d32-ac3d-b4d7f09132cb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.67378 25.83998, -97.1411 25.83998, -97.1411 26.17557, -97.67378 26.17557, -97.67378 25.83998))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-11-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Brownsville, TX",
        "EnviroAtlas"
      ],
      "modified": "2017-09-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0cd9a177-a051-40df-9996-bfcf7498f8c6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Brownsville, TX",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2017-09-21",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{05172a6d-fb7d-40b7-9cfc-c79abdaedf9e}",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "EnviroAtlas"
      ],
      "modified": "2017-09-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2cfd247c-d9c3-4eac-a327-0a876ee382f7}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{990c2af4-2ac6-40f8-a7dc-cfea1479616b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 120 block groups in Brownsville, Texas. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Brownsville, TX",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1acb757c-74ba-4681-920d-cfc70c6c0a1d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this commmunity, forest is defined as Trees & Forest, Orchards, and Woody Wetlands. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture and Orchards.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Brownsville, TX",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-02-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{95f43ed1-9949-4a21-bdb1-eea0b824b412}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.67378 25.83998, -97.1411 25.83998, -97.1411 26.17557, -97.67378 26.17557, -97.67378 25.83998))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Meter-Scale Urban Land Cover Data (2014)",
      "description": "The Brownsville, TX EnviroAtlas Meter-Scale Urban Land Cover (MULC) data were generated by the US EPA to support local disease vector mitigation efforts and to support ecosystem service analyses. The data were created from 1 m pixel aerial photography collected in 2014, combined with LiDAR data from 2011 and 2006. Ten land cover classes were mapped: water, impervious surfaces, soil and barren land, trees, shrubs, grass and herbaceous non-woody vegetation, agriculture, orchards, woody wetland, and emergent wetland. An accuracy assessment of 704 completely random and 24 stratified random photo-interpreted reference points yielded an overall accuracy of 82 % (fuzzy) and 77% (non-fuzzy). The area mapped is the US Census Bureau's 2010 Urban Statistical Area for Brownsville, TX plus a 1 km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Brownsville, Texas",
        "Impact",
        "Communities",
        "Texas",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{02665f65-577e-46c1-926a-b83a9ae3fe6a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.683809 25.824946, -97.131017 25.824946, -97.131017 26.190659, -97.683809 26.190659, -97.683809 25.824946))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cc9aa108-8c75-462f-af5d-66a3df9c1632}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{406257e8-a58d-49fd-87c1-67c2aaeb6f60}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Brownsville, TX",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2017-12-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{75a8d3ba-2d7a-420c-a160-9d86716af18e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-12-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Brownsville, TX",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c31dcddc-6750-4504-9121-668f2c6d53d3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f02f34a6-f362-4257-ba7e-984f2d0033bc}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{89779f5e-9ae6-41e7-91c3-29a7aaf8e280}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
      "temporal": [
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      "theme": [
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      "distribution": [
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      "distribution": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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      ],
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      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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    },
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      "title": "EnviroAtlas - Brownsville, TX - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Drinking Water",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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      ],
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    {
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      "title": "EnviroAtlas - Brownsville, TX - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Demographics",
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        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Brownsville, TX",
        "Trees",
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      ],
      "modified": "2017-09-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-97.671603 25.837164, -97.14288 25.837164, -97.14288 26.17989, -97.671603 26.17989, -97.671603 25.837164))"
        }
      ],
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        {
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
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      ],
      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/BTX_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Brownsville, TX - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
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        "Human Well-being",
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        "Water"
      ],
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "11042455-F62D-480B-A33E-1F7B41284CEE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((144.886369 14.110472, 146.064525 14.110472, 146.064525 20.553247, 144.886369 20.553247, 144.886369 14.110472))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-12-12",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CanopyVegetationImpervious_CNMI.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas-epa.hub.arcgis.com/search?tags=EA-CanopyVegetationImpervious",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Landcover Summaries by Block Group for Guam",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each census block group in Guam that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by block group based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by block group. Vegetation includes canopy and scrub/shrub landcover classes but does not include other types of green space. \n\t\t\n\t\tDatasets for other geographies were produced separately; metadata for these related datasets may be found here:\n\t\tAmerican Samoa https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_AS_bg.xml,\n\t\tNorthern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_bg.xml.\n\t\t\n\t\tThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "020:072",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Guam",
        "United States Pacific Territories",
        "United States",
        "EnviroAtlas",
        "Downloadable Data"
      ],
      "modified": "2024-10-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "6349ECF4-E95D-4811-8CD7-60F4330E659C",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((144.618068 13.234189, 144.956712 13.234189, 144.956712 13.654383, 144.618068 13.654383, 144.618068 13.234189))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-12-12",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CanopyVegetationImpervious_GU.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas-epa.hub.arcgis.com/search?tags=EA-CanopyVegetationImpervious",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Landcover Summaries by Place for Guam",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each census place in Guam that is classified as Canopy, Impervious Surface, and Vegetation using the 2022 NOAA Coastal Change Analysis Program (C-CAP) dataset. It also includes calculations of these landcover classes per capita (square meters per person) by place based on 2020 United States Census data. Finally, ratios of canopy to impervious surface and vegetation to impervious surface were calculated by place. Vegetation includes canopy and scrub/shrub classes, but does not include other types of green space.  \n\t\t\n\t\tDatasets for other geographies were produced separately; metadata for these related datasets may be found here: \n\t\tAmerican Samoa https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_AS_place.xml, \n\t\tNorthern Mariana Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/CanopyVegetationImpervious_CNMI_place.xml.\n\t\t\n\t\tThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "020:072",
        "Environmental Atlas",
        "Green Space",
        "Guam",
        "United States Pacific Territories",
        "United States",
        "EnviroAtlas"
      ],
      "modified": "2024-10-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "AC61D028-4677-435C-8740-8458A4D60D58",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((144.618068 13.234189, 144.956712 13.234189, 144.956712 13.654383, 144.618068 13.654383, 144.618068 13.234189))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2022-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-12-12",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CanopyVegetationImpervious_GU.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas-epa.hub.arcgis.com/search?tags=EA-CanopyVegetationImpervious",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cultivated biological nitrogen fixation in agricultural lands by 12-digit HUC in the Conterminous United States, 2006",
      "description": "This EnviroAtlas dataset contains data on the mean cultivated biological nitrogen fixation (C-BNF) in cultivated crop and hay/pasture lands per 12-digit Hydrologic Unit (HUC) in 2006. Nitrogen (N) inputs from the cultivation of legumes, which possess a symbiotic relationship with N-fixing bacteria, were calculated with a recently developed model relating county-level yields of various leguminous crops with BNF rates. We accessed county-level data on annual crop yields for soybeans (Glycine max L.), alfalfa (Medicago sativa L.), peanuts (Arachis hypogaea L.), various dry beans (Phaseolus, Cicer, and Lens spp.), and dry peas (Pisum spp.) for 2006 from the USDA Census of Agriculture (http://www.agcensus.usda.gov/index.php). We estimated the yield of the non-alfalfa leguminous component of hay as 32% of the yield of total non-alfalfa hay (http://www.agcensus.usda.gov/index.php). Annual rates of C-BNF by crop type were calculated using a model that relates yield to C-BNF. We assume yield data reflect differences in soil properties, water availability, temperature, and other local and regional factors that can influence root nodulation and rate of N fixation. We distributed county-specific, C-BNF rates to cultivated crop and hay/pasture lands delineated in the 2006 National Land Cover Database (30 x 30 m pixels) within the corresponding county. C-BNF data described here represent an average input to a typical agricultural land type within a county, i.e., they are not specific to individual crop types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Monitoring",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{18DA5C01-F53D-4CC3-B557-046C3FF5A584}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-09-20",
          "endDate": "2013-09-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - C-CAP Land Cover (2005-2011), EnviroAtlas version - Hawaii",
      "description": "This EnviroAtlas dataset contains high-resolution (2.4 meter) land cover data for Hawaii from C-CAP (Coastal Change Analysis Program), modified for use in EnviroAtlas. The original C-CAP rasters were produced by the NOAA (National Oceanic and Atmospheric Administration) Office for Coastal Management. The C-CAP rasters have been mosaicked into a single raster, projected to Albers, and have additional information added about corresponding NLCD (National Land Cover Database) classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Hawaii",
        "EnviroAtlas"
      ],
      "modified": "2017-02-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "e24cd1ea-96cf-4f8a-a41a-e335ce95a8ff",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-160.250434 18.893384, -154.732119 18.893384, -154.732119 22.228151, -160.250434 22.228151, -160.250434 18.893384))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-01-01",
          "endDate": "2005-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-02-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - C-CAP Land Cover (2010-2012), EnviroAtlas version - Puerto Rico and the US Virgin Islands",
      "description": "This EnviroAtlas dataset consists of the 2010 Puerto Rico and 2012 U.S. Virgin Islands C-CAP (Coastal Change Analysis Program) rasters, modified for use in EnviroAtlas. The original C-CAP rasters were produced by the NOAA (National Oceanic and Atmospheric Administration) Office for Coastal Management. In the EnviroAtlas version, the C-CAP rasters have been mosaicked together. Fields containing equivalent NLCD (National Land Cover Database) classes have been added so that processes used to develop NLCD-based EnviroAtlas datasets can be more easily applied to Puerto Rico and the Virgin Islands; the colormap has also been modified to match the NLCD colormap. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "Virgin Islands",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "EnviroAtlas",
        "Puerto Rico"
      ],
      "modified": "2019-12-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "a13cdbc9-07ef-47ab-aecf-8502d620f765",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.673736, -64.565191 17.673736, -64.565191 18.516091, -67.951455 18.516091, -67.951455 17.673736))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-12-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Candidate Areas for Ecological Restoration for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the candidate areas for ecological restoration, identified as close but geographically disjunct vegetated regions. Ecological restoration may become a more prominent means of environmental conservation in the future, and landscape context and connectivity are important emerging principles in ecological restoration science. We used morphological spatial pattern analysis (MSPA) to identify candidate restoration areas based on their proximity to large vegetated regions. We then populated the candidate sites with 17 attributes related to site content (e.g., soil productivity) and site context (area of surrounding vegetated regions).",
      "keyword": [
        "Ecosystem",
        "Structure",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Remediation",
        "Connecticut",
        "12-digit HUCs",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-04-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{15527715-74cc-48f9-a129-ab0635874b5d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2016-04-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CERA_sites_gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Frequency and Density of Candidate Areas for Ecological Restoration by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the number and density of candidate areas for ecological restoration in each 12-digit HUC. Ecological restoration may become a more prominent means of environmental conservation in the future, and landscape context and connectivity are important emerging principles in ecological restoration science. We used morphological spatial pattern analysis (MSPA) to identify candidate restoration areas based on their proximity to large vegetated regions. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Structure",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Remediation",
        "Connecticut",
        "12-digit HUCs",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-03-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f9dbe1bc-8647-485f-8375-e3445361fbdf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 6409 block groups in the Chicago Metro Region. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Will, DuPage, McHenry, Kendall, Cook, Lake, and Kane counties, Illinois and LaPorte, Lake, and Porter counties Indiana. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-05-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8ce81610-f800-4280-aec7-84a6acc7d750}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.707378 41.162186, -86.486263 41.162186, -86.486263 42.495961, -88.707378 42.495961, -88.707378 41.162186))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-05-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Chicago, IL EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2017-05-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0afd4cd7-9e18-48c7-b62f-10a648c90666}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Illinois",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2017-05-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c92c703b-8ef2-4691-9b4c-9993e9595162}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-08",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Chicago, IL EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2017-05-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4436a8f9-1a31-4f39-b038-a88ed539899b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-12-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e0fdfb0b-eab9-4077-9f68-ba2f7fa942d3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-12-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in the EnviroAtlas, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Local use data, as prepared for several cities for the Chicago Metropolitan Agency for Planning and at the county level by USGS, were used. Within the Chicago study area, the 1998-2010 average estimates ranged from 33 to 196 GPD. This dataset was produced by the U.S. EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-01-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c2ef1203-6d81-43ff-8ad6-752bfab06daf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2017-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e71f9827-4030-48a7-b40a-7b9a8e8b2c4e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Illinois",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2019-11-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{98b002a1-a004-42c1-be37-7fd531f98556}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-07-31",
          "endDate": "2019-07-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-11-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2018-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e27c1f01-553a-4a6e-aee3-d106e232f6fa}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL- Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2017-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{583fb0cd-adf1-4929-9ae7-9f85e84a4153}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "EnviroAtlas"
      ],
      "modified": "2018-01-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cb3310b0-b525-4772-bc46-9788e51883f6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-12-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b521f10b-4505-4867-ba2d-70719f667bbb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-12-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 6409 block groups in the Chicago Metro Region. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-05-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{bf4fcd23-f25d-4eaf-8c4e-a93b7e913a12}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.707378 41.162186, -86.486263 41.162186, -86.486263 42.495961, -88.707378 42.495961, -88.707378 41.162186))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-05-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Illinois",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-05-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{37d72c8d-b0c8-48ef-b1e4-893047d8af1a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Chicago, IL -- Meter-Scale Urban Land Cover (MULC) Data (2013)",
      "description": "The Chicago, IL EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 14,687 km2 around the city of Chicago and surrounding counties in Illinois and Indiana. The study area spans 10 counties (7 in Illinois, 3 in Indiana). These MULC data and maps were derived from LiDAR and 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) as well as ancillary vector data (e.g., roads, building footprints). Seven land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Trees/Forest, Grass/Herbaceous Non-Woody Vegetation, Agriculture, and Wetlands (Woody and Emergent). Wetlands were delineated using the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer. An analysis of 600 completely random and 97 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 81% and an overall fuzzy user's accuracy (RIGHT) of 87% (see confusion matrices below). This dataset was produced by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy (UTC) assessment program, and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Land",
        "Surface Water",
        "Agriculture",
        "Land Cover",
        "Indiana",
        "Environmental Atlas",
        "Green Space",
        "Illinois",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-03-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c7c643ad-07b1-499c-9d20-6059c1abc416}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.71481 41.150614, -86.478828 41.150614, -86.478828 42.505488, -88.71481 42.505488, -88.71481 41.150614))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-01-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1518a7f5-ebdc-4841-91b1-eb65c1f9fdf9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-01-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{aa7d0604-7a32-4be1-94e4-3d8bbf92aa70}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2018-08-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{05c1410c-14f5-45d1-96fc-5b1e5d08f663}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-08-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0ac432be-0f03-46c1-afc8-ce5f076f1967}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-12-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f294cc77-0f3b-4828-a85d-8be3ae4e935d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-12-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-12-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dfcd9aa7-a95b-4b87-8471-fe714f5cd125}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-12-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Chicago, IL",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2018-01-14",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2e653f59-fbce-408d-9b11-5facae21ebe8}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-14",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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        "Water"
      ],
      "modified": "2018-01-13",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c9396a26-2ea1-4b1b-8fd6-86cd51cb4142}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2018-01-13",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Surface Water",
        "Ecosystem Services",
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        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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      ],
      "modified": "2018-01-15",
      "publisher": {
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      },
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{902564d7-7b7b-4644-8f83-c2f264c98fe2}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
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          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
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      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Chicago, IL",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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        "Water"
      ],
      "modified": "2018-01-14",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7d71071a-5bbc-4482-b956-425a02638ccd}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2018-01-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest and Woody Wetlands, and vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Illinois",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2018-01-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b4ce2fa2-96a2-493d-ac80-67b18e591fcc}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2018-01-13",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-11-17",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1b277079-b6dc-4c6f-8613-0ee842d56b61}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Chicago, IL - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Chicago, IL",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Illinois",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-01-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{73ba6d6a-f550-496d-a0e4-e11d624cb502}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.67937 41.15068, -86.47882 41.15068, -86.47882 42.50563, -88.67937 42.50563, -88.67937 41.15068))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-01-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CIL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,442 block groups in Cleveland, Ohio. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2016-09-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0590bdef-f585-44c5-8c59-c205dd0648dd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Cleveland, OH EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-data).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b93ec83a-73bd-4447-b255-352bf2d92707}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
        "Ohio"
      ],
      "modified": "2016-09-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{75dfcc07-163f-4fef-9e66-ad8b20cc5255}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-14",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Cleveland, OH EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ddc6c996-2b08-41e1-9f9a-b2d144462397}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is defined as Trees & Forest and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{03cd54e1-4328-402e-ba75-e198ea9fbdc7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community-level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use estimates within the EnviroAtlas-defined Cleveland study area range from 42 to 109 GPD. They were derived through a normalized, weighted average of estimates of publicly-supplied and self-supplied water use by county from the U.S. Geological Survey (USGS). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Ohio",
        "Water"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6fd9f2d3-536f-40b1-b96c-412185ba665b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community,green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a6b330ad-f2e0-493f-945b-79c0555685ca}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{aaa8ab67-2e98-4e52-8301-e01c3b71a227}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{15513a99-834f-4983-8a65-d55696c70a09}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5a9d9fe8-b51d-48e5-8902-d2eab40841a3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1a20f5e8-b636-4dc1-bee3-c70999ff2839}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{eb14c0ca-f26c-47eb-8198-02fba73784d6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,442 block groups in Cleveland, Ohio. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Ohio",
        "Water"
      ],
      "modified": "2016-08-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8d7f7fae-4e14-4da8-a903-73ebbfef83e5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-08-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. In this community, forest is defined as Trees & Forest and Woody Wetlands and green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a188b44d-3442-4447-883a-3746b55a350b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Cleveland, OH -- Meter-Scale Urban Land Cover (MULC) Data (2011 and 2013)",
      "description": "The Cleveland, OH EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 2,737 km2 around the city of Cleveland and portions of surrounding counties. The area classified is based on the US Census Bureau's 2010 Urban Area for Cleveland, OH with a 1 km buffer added. This area includes the majority of Cuyahoga and Lake Counties, and portions of Ashtabula, Geauga, Medina, Lorain, Portage and Summit Counties. These MULC data and maps were derived from LiDAR and 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) in 2011 and 2013. The NAIP imagery was collected on several dates: August 12, 2011, September 03, 2011 and August 24, 2013. The data was comprised of 85% 2011 NAIP and 15% 2013 NAIP imagery. LiDAR data collected between March 18, 2006 and May 07, 2006 covered the entire study area. Six land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Trees/Forest, Grass/Herbaceous Non-Woody Vegetation, and Wetlands (Woody and Emergent). Wetlands were copied from the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer from 2006. An analysis of 500 completely random and 81 stratified random photo-interpreted land cover reference points yielded an overall user's accuracy of 86.2% (see confusion matrix below). This dataset was produced by the US EPA, the University of Vermont, and the US Forest Service to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "Wetlands",
        "Biophysical",
        "Exposure",
        "Ecosystem Services",
        "United States",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Recreation",
        "Impact",
        "Natural Resources",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2016-06-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{82ab1edf-8fc8-4667-9c52-5a5acffffa34}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.089515 41.188787, -80.989975 41.188787, -80.989975 41.86387, -82.089515 41.86387, -82.089515 41.188787))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9bf738c6-456b-441f-a7aa-dc4b094e8d65}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a4c18bcd-a793-4182-9a5b-ed75fa935a9c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dda3a5c3-7c04-41c3-a39e-b6b2021eae9a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/EnviroAtlas/DataFactSheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Ohio"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0ced9d35-9f11-46ca-abf0-1e10ebae1331}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2016-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c95f3a7f-3276-40f5-a227-c1879965fdaf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Ohio"
      ],
      "modified": "2016-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{28e3f937-6f22-45c5-98cf-1707b0fc92df}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ohio",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{94b46171-da09-4dd7-a831-b3ec9b9468ee}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ohio",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4a9146c2-5076-4afe-bf63-aafb60a3fb99}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ohio",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{76bacaf5-78e4-4867-96f2-5957071345ce}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ohio",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c1b7ce33-4b3f-4a7b-b952-94d9b02ea131}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, forest is defined as Trees & Forest and Woody Wetlands. and vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Ohio",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c8e6d785-3cf2-45e5-be24-579398e9ee30}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, forest is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "Ohio"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5bff7978-ddc6-451c-a02f-34a29f5b34cd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Cleveland, OH - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Cleveland, OH",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Ohio",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{44f77f11-1d19-4828-8cee-a5576cf1c59e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.07722 41.20277, -81.00209 41.20277, -81.00209 41.84987, -82.07722 41.84987, -82.07722 41.20277))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CleOH_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Maximum Temperature 1950 - 2099 for the Conterminous United States",
      "description": "The EnviroAtlas Climate Scenarios were generated from NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30) ensemble averages (the average of over 30 available climate models) for each of the four representative concentration pathways (RCP) for the contiguous U.S. at 30 arc-second (approx. 800 m2) spatial resolution. NEX-DCP30 mean monthly maximum temperature for the 4 RCPs (2.6, 4.5, 6.0, 8.5) were organized by season (Winter, Spring, Summer, and Fall) and annually for the years 2006 – 2099. Additionally, mean monthly maximum temperature for the ensemble average of all historic runs is organized similarly for the years 1950 – 2005. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://cds.nccs.nasa.gov/nex/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a5660221-17a0-4cbf-ac85-d3684e7b5271}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-05-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://cds.nccs.nasa.gov/nex/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minimum Temperature 1950 - 2099 for the Conterminous United States",
      "description": "The EnviroAtlas Climate Scenarios were generated from NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30) ensemble averages (the average of over 30 available climate models) for each of the four representative concentration pathways (RCP) for the contiguous U.S. at 30 arc-second (approx. 800 m2) spatial resolution. NEX-DCP30 mean monthly minimum temperature for the 4 RCPs (2.6, 4.5, 6.0, 8.5) were organized by season (Winter, Spring, Summer, and Fall) and annually for the years 2006 – 2099. Additionally, mean monthly minimum temperature for the ensemble average of all historic runs is organized similarly for the years 1950 – 2005. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://cds.nccs.nasa.gov/nex/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e9ee8494-4816-4989-a73f-a766f77839c1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://cds.nccs.nasa.gov/nex/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potential Evapotranspiration 1950 - 2099 for the Conterminous United States",
      "description": "The EnviroAtlas Climate Scenarios were generated from NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30) ensemble averages (the average of over 30 available climate models) for each of the four representative concentration pathways (RCP) for the contiguous U.S. at 30 arc-second (approx. 800 m2) spatial resolution. In addition to the three climate variables provided by the NEX-DCP30 dataset (minimum monthly temperature, maximum monthly temperature, and precipitation) a corresponding estimate of potential evapotranspiration (PET) was developed to match the spatial and temporal scales of the input dataset. PET represents the cumulative amount of water returned to the atmosphere due to evaporation from Earth’s surface and plant transpiration under ideal circumstances (i.e., a vegetated surface shading the ground and unlimited water supply). PET was calculated using the Hamon PET equation (Hamon, 1961) and CBM model for daylength (Forsythe et al. 1995) for the 4 RCPs (2.6, 4.5, 6.0, 8.5) and organized by season (Winter, Spring, Summer, and Fall) and annually for the years 2006 – 2099. Additionally, PET was calculated for the ensemble average of all historic runs and organized similarly for the years 1950 – 2005. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://cds.nccs.nasa.gov/nex/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{91dc2cb5-0b7e-49f7-8a8a-832298fd5b85}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://nasanex.s3.amazonaws.com/NEX-DCP30/CONTRIB/EPA/PET/README.txt",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Precipitation 1950 - 2099 for the Conterminous United States",
      "description": "The EnviroAtlas Climate Scenarios were generated from NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30) ensemble averages (the average of over 30 available climate models) for each of the four representative concentration pathways (RCP) for the contiguous U.S. at 30 arc-second (approx. 800 m2) spatial resolution. NEX-DCP30 mean monthly precipitation rate for the 4 RCPs (2.6, 4.5, 6.0, 8.5) were organized by season (Winter, Spring, Summer, and Fall) and annually for the years 2006 – 2099. Additionally, mean monthly precipitation rate for the ensemble average of all historic runs is organized similarly for the years 1950 – 2005. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://cds.nccs.nasa.gov/nex/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a206699d-da21-4624-b55e-7064a2791ae6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://cds.nccs.nasa.gov/nex/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Cluster analysis for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains the results of a cluster analysis of ecological integrity indices for stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b2392f13-900c-4177-b253-5f1d0ef0b91e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Community Boundaries Web Service",
      "description": "This EnviroAtlas dataset shows the boundaries of all EnviroAtlas Communities. It represents the outside edge of all the block groups included in each EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "Boundaries",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{70c3f683-5fd6-4df4-9536-593ed114d145}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Commute Modes and Working from Home by Block Group for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the percent of workers who commute to work using various modes, and the percent who work from home within each Census Block Group (CBG) during 2008-2012. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data. The commute modes are the travel methods workers use to get from home to work. The commute modes mapped include private vehicle use (drive alone or carpooling), public transit, bicycling, and walking. Workers who work from home were also reported. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{93820472-AA30-4787-BBA5-3E2E278391E2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Commute Time to Work by Census Block Group for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the commute time of workers to their workplace for each Census Block Group (CBG) during 2008-2012. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data. The commute time is the amount of travel time in minutes for workers to get from home to work. This value includes private vehicle use, carpooling, public transit, bicycling, or walking. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2015-06-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9395A333-791C-479A-924A-42EEEA147563}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2011 Land Cover, Impervious Surface, and Riparian Land Cover Proportions by County for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents land cover across a county and in riparian areas for each county in the conterminous United States for use in the Compare my Area tool. These metrics include the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover using the EnviroAtlas hybrid Cropland Data Layer (CDL) - 2011 National Land Cover Dataset (NLCD); the percentage of impervious surface based on the 2011 NLCD Percent Developed Impervious dataset; and the percentage of land area within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each county that is classified as forest (excluding wetlands), forest including woody wetlands, and natural land cover, based on the 2011 CDL-NLCD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Riparian",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{948ad57e-23cd-4c29-81de-15497a296dab}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2019-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other/CMA_Landscape/MapServer/1",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2011 Land Cover, Impervious Surface, and Riparian Land Cover Proportions by State for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents land cover across a state and in riparian areas for each state in the conterminous United States for use in the Compare my Area tool. These metrics include the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover using the EnviroAtlas hybrid Cropland Data Layer (CDL) - 2011 National Land Cover Dataset (NLCD); the percentage of impervious surface based on the 2011 NLCD Percent Developed Impervious dataset; and the percentage of land area within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each state that is classified as forest (excluding wetlands), forest including woody wetlands, and natural land cover, based on the 2011 CDL-NLCD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Riparian",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{71395061-8e27-4de2-bd3e-7cd60fa7d081}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2019-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other/CMA_Landscape/MapServer/2",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2011 Land Cover, Impervious Surface, and Riparian Land Cover Proportions by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents land cover across a watershed and in riparian areas for each 12-digit hydrologic unit code (HUC) in the conterminous United States for use in the Compare my Area tool. These metrics include the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover using the EnviroAtlas hybrid Cropland Data Layer (CDL) - 2011 National Land Cover Dataset (NLCD); the percentage of impervious surface based on the 2011 NLCD Percent Developed Impervious dataset; and the percentage of land area within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each 12-digit HUC that is classified as forest (excluding wetlands), forest including woody wetlands, and natural land cover, based on the 2011 CDL-NLCD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Riparian",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e6d7b9d6-e37f-441e-9da2-c3e371e076c1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
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      ],
      "temporal": [
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          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
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      "issued": "2019-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other/CMA_Landscape/MapServer/0",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
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      "title": "EnviroAtlas - Stream Confluence Dataset - Points",
      "description": "This EnviroAtlas dataset is a point feature class showing the locations of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cd0c4bc3-0837-46f7-8eb4-ef731933f493}",
      "accessLevel": "public",
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        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Tree Cover Configuration and Connectivity, Water Background Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The 1-meter resolution tree cover configuration and connectivity map categorizes tree cover into structural elements (e.g. core, edge, connector, etc.). Source imagery varies by community. For specific information about methods and accuracy of each community's tree cover configuration and connectivity classification, consult their individual metadata records: Austin, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B29D2B039-905C-4825-B0B4-9315122D6A9F%7D); Birmingham, AL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bc1b9998a-d2b4-4036-8a93-8e747edabafb%7D); Cleveland, OH (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B03cd54e1-4328-402e-ba75-e198ea9fbdc7%7D); Des Moines, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B350A83E6-10A2-4D5D-97E6-F7F368D268BB%7D); Durham, NC (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BC337BA5F-8275-4BA8-9647-F63C443F317D%7D); Fresno, CA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B84B98749-9C1C-4679-AE24-9B9C0998EBA5%7D); Green Bay, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B69E48A44-3D30-4E84-A764-38FBDCCAC3D0%7D); Memphis, TN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB7313ADA-04F7-4D80-ABBA-77E753AAD002%7D); Milwaukee, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B743BCDE5-141B-414F-B85B-1E9C16B08EA5%7D); Minneapolis/St. Paul, MN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bd318bfd0-f319-4c96-a71a-ebd5b4cdc679%7D); New Bedford, MA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7230F45E-5C9A-4A81-A4CC-A554F820A5E6%7D); New Haven, CT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bc67a0a5e-8f67-4685-b6c7-851bf21d90f1%7D); New York, NY (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB893D495-6F44-4712-9189-EF3A05E77AE9%7D); Phoenix, AZ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BCAD428A6-C9B6-4C86-AAF4-95A79B1FF3F9%7D); Pittsburgh, PA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA6BB21AA-E4AA-4C14-B6F0-E37370E0DDBE%7D); Portland, ME (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8FF72C94-A9F3-4DD5-AE38-47DD43B085FF%7D); Paterson, NJ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5D33A6D9-7B3F-41E9-9A3A-CA7A2A9C49B8%7D); Portland, OR (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1A8D398F-7E21-4717-BCAC-CC232F3CED33%7D); Tampa, FL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B864118E7-7E57-4F1D-810D-A71D37C82DB2%7D); and Woodbine, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5F3D2255-6EC8-437A-9DA5-82025680ED34%7D). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Memphis, TN",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Tampa, FL",
        "Milwaukee, WI",
        "Green Infrastructure",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Arizona",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "New Bedford, MA",
        "New York",
        "Communities",
        "Texas",
        "Cleveland, OH",
        "geospatial",
        "Portland, ME",
        "Habitat",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Durham, NC",
        "New York, NY",
        "California",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3adb5d1b-300e-45c7-9840-ec8431754371}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-03",
          "endDate": "2015-12-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fruit and vegetable crops by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes data on the area, yield, and number of fruit and vegetable crops grown per 12-digit Hydrologic Unit (HUC) in the conterminous USA. The values are based on data from the United States Department of Agriculture's 2010 Cropland Data Layer (CDL). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Food",
        "Connecticut",
        "12-digit HUCs",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9F800DF4-1ED3-4863-AC60-272C79337C02}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Crop phosphorus removal by 12-digit HUC for 2012 for the Conterminous United States",
      "description": "This EnviroAtlas national map displays the mean crop phosphorus (P) removal from croplands in the conterminous United States (excluding Hawaii and Alaska) for the year 2012 by 12-digit HUC. These data are based on International Plant Nutrition Institute (IPNI) compilations of county-level major crop harvest and P content of these crops, and cropland area from the USGS's U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3f42970d-b2b5-4d3e-9db4-8cddfd226498}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Acres of USDA Farm Service Agency Conservation Reserve Program land by 12-Digit HUC for the Conterminous United States.",
      "description": "This EnviroAtlas dataset shows the acres of land enrolled in the US Department of Agriculture (USDA)'s Conservation Reserve Program (CRP). The CRP is administered by the Farm Service Agency; farmers in the program receive annual payments and establishment cost share to remove environmentally sensitive land from crop production and instead plant perennial species that provide environmental benefits. This dataset was produced by the USDA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Protected Lands",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7c1090d3-619f-40f7-bb01-054173ddbaef}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.fsa.usda.gov/programs-and-services/conservation-programs/conservation-reserve-program/index"
      },
      "issued": "2016-10-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Cyanobacteria Index for the Continental United States",
      "description": "This dataset shows the temporal frequency and spatial extent of cyanobacteria cells in large, freshwater lakes and reservoirs across the continental United States derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery from 2002-2012 and functionally similar Ocean and Land Colour Instrument (OLCI) satellite imagery from 2017-2021. This dataset was produced through a partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency's (ESA) Envisat MERIS sensor and their Sentinel-3 OLCI sensor. MERIS and OLCI are nadir-pointing imaging spectrometers which measure the solar radiation reflected by the Earth in 15 and 21 spectral bands, respectively (visible through near-infrared). MERIS and OLCI imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. EnviroAtlas allows users to spatially explore this cyanobacteria data in the online interactive map viewer. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the continental United States. The dataset is available as downloadable data (https://oceancolor.gsfc.nasa.gov/CYAN/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Estuary",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Monitoring",
        "Michigan",
        "Natural Resources",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cbc14b6b-8181-4e45-b1c3-5600a1cd0ba2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Users should acknowledge the Cyanobacteria Assessment Network that w"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2021-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://oceancolor.gsfc.nasa.gov/CYAN/"
      },
      "issued": "2017-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CyanLakes_poly_public_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Dasymetric Population for the Conterminous United States",
      "description": "This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and slope. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demographics",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2016-02-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BBDAEC9A-F9B6-490F-8CA0-40401C47DEBA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-02-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2020 Dasymetric Population for Alaska v1",
      "description": "This EnviroAtlas dataset intelligently reallocates 2020 population from census blocks to 30 meter pixels based on land cover and land use for Alaska. Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Conterminous US https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_CONUS_2020_V1.xml, Hawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_HI_2020_V1.xml, Puerto Rico https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_PR_2020_V1.xml, U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_VI_2020_V1.xml. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the United States. The dataset is available as downloadable data (https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "geospatial",
        "Demographics",
        "Modeling",
        "Environment",
        "Ecosystem Services",
        "Ecology",
        "Environmental Atlas",
        "020:072",
        "United States",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2022-08-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "1B1FE3E5-1CAC-4A75-8FA4-5B1CCF82BAE1",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 49.054964, 180.0 49.054964, 180.0 71.455472, -180.0 71.455472, -180.0 49.054964))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-08-31",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Dasymetric_Population_AK_2020_V1.tif.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Dasymetric_2020/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2010 Dasymetric Population for the Conterminous United States v3",
      "description": "This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and land use. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demographics",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
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        "Alabama",
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        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
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        "Texas",
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      "title": "EnviroAtlas - 2020 Dasymetric Population for Hawaii v1",
      "description": "This EnviroAtlas dataset intelligently reallocates 2020 population from census blocks to 30 meter pixels based on land cover and land use for Hawaii. Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Alaska https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_AK_2020_V1.xml, Conterminous US https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_CONUS_2020_V1.xml, Puerto Rico https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_PR_2020_V1.xml, U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Dasymetric_Population_VI_2020_V1.xml. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the United States. The dataset is available as downloadable data (https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "geospatial",
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      ],
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      ],
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          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2015-11-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8BEA9221-1F5A-4811-8F61-CDADCE21838B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-18",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Des Moines, IA EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Des Moines, IA",
        "Environment",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7B6D5C1C-FDAC-4D0E-805C-67DD0ADF518D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-10-24",
          "endDate": "2013-10-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, Forest is defined as Trees & Forest (Trees & Forest - 40 = 1; All Else = 0). Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{350A83E6-10A2-4D5D-97E6-F7F368D268BB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-13",
          "endDate": "2015-10-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use in this EnviroAtlas-defined study area is estimated at 65 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-05-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{76CABDD3-FB69-4476-8B59-47217C63995E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E722936E-0AED-441B-8190-C1D59CE49DBD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Des Moines, IA",
        "Environment",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2019-11-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{eec0cab5-ee3a-4658-ab30-ba78363cd94c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.88937 41.44251, -93.34849 41.44251, -93.34849 41.77853, -93.88937 41.77853, -93.88937 41.44251))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-02-21",
          "endDate": "2019-02-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-11-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0827780C-E353-4566-AEF3-54A9F971B4B2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E35E5DC9-BD69-45AD-81A6-EF5346743DBA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4B2537E4-942C-4F94-B024-CC83CBE24F14}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A5C3A6F2-CA61-4E78-B57D-289E45B34EF5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.889368 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.889368 41.778535, -93.889368 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 312 block groups in Des Moines, IA. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B834A03C-90AF-4333-910E-D1165033D0E8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and agriculture. Forest is defined as Trees & Forest. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FF40DDC0-76FC-449C-AF78-8E61FAF54AB4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Des Moines, IA -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Des Moines, IA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data were generated from the High Resolution Land Cover (HRLC) product created by the Iowa Department of Natural Resources (IDNR), consisting of data for Dallas, Polk, and Warren counties. The 14 class IDNR land cover product was modified to fit the land cover classification structure of the EPA EnviroAtlas resulting in six land cover classes mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, and agriculture. An accuracy assessment of 600 completely random and 90 stratified random points yielded an overall user's accuracy of 78% and an overall user's fuzzy accuracy of 85%. The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Des Moines, IA plus a 1 km buffer. This dataset was produced by the Iowa Department of Natural Resources and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Des Moines, IA",
        "Environment",
        "Land",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A4152198-978D-4C0B-959F-42EABA9C4E1B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.911162 41.433485, -93.332772 41.433485, -93.332772 41.787472, -93.911162 41.787472, -93.911162 41.433485))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3C688DB4-B351-42F2-ADED-8A2C98A3AE3B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{71273470-AFC8-4AAE-B334-072E921AD1CF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{56100C52-19B8-4BFE-88E4-F42CCB19E44F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7BDA7EB9-C5F8-4C15-90A4-A3CB285671D9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2ED3979D-CBA0-45EF-A325-A148EC9EC64D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{09FE7D60-B636-405C-BB07-68147DFE8CAF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. Forest is defined as Trees & Forest. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6867E66E-3395-44B5-91B0-7C09845BF069}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. Vegetated cover is defined as Trees & Forest and Grass & Herbaceous. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B0A92F1E-0881-4A9F-99BB-3CB4AF0E1461}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. Forest is defined as Trees & Forest. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{870A2D00-9E04-41DF-9867-2C34214AF6D5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. Vegetated cover is defined as Trees & Forest and Grass & Herbaceous. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{30E04D02-E660-42A0-B3C3-3C37D3936897}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. Forest is defined as Trees & Forest. Vegetated cover is defined as Trees & Forest and Grass & Herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{842B3FD1-CF7C-4CFE-876A-554317CF32E4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. Forest is defined as Trees & Forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{97B64205-0459-4B9B-9663-9401A86768B1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Des Moines, IA - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Des Moines, IA",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F2C570C2-BE3E-43B4-9FC3-1053CFFBDF7A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.8939549 41.442507, -93.348494 41.442507, -93.348494 41.778535, -93.8939549 41.778535, -93.8939549 41.442507))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-07",
          "endDate": "2015-10-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DMIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2011 EPA Discharge Monitoring Report Watershed Statistics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes a number of Discharge Monitoring Report (DMR) metrics summarized by watershed for a given year (https://echo.epa.gov/help/loading-tool/watershed-statistics-help). These metrics include the number of facilities and wastewater discharges located within watersheds according to the Integrated Compliance Information System National Pollutant Discharge Elimination System (ICIS-NPDES), to track the permit compliance and enforcement status of facilities regulated by the NPDES under the Clean Water Act (https://echo.epa.gov/tools/data-downloads/icis-npdes-download-summary). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3d578618-571f-476c-9f67-f8939df9fcfb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2015 EPA Discharge Monitoring Report Watershed Statistics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes a number of Discharge Monitoring Report (DMR) metrics summarized by watershed for a given year (https://echo.epa.gov/help/loading-tool/watershed-statistics-help). These metrics include the number of facilities and wastewater discharges located within watersheds according to the Integrated Compliance Information System National Pollutant Discharge Elimination System (ICIS-NPDES), to track the permit compliance and enforcement status of facilities regulated by the NPDES under the Clean Water Act (https://echo.epa.gov/tools/data-downloads/icis-npdes-download-summary). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9e5639f1-3089-4f27-a904-840fd5a35797}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2017 EPA Discharge Monitoring Report Watershed Statistics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes a number of Discharge Monitoring Report (DMR) metrics summarized by watershed for a given year (https://echo.epa.gov/help/loading-tool/watershed-statistics-help). These metrics include the number of facilities and wastewater discharges located within watersheds according to the Integrated Compliance Information System National Pollutant Discharge Elimination System (ICIS-NPDES), to track the permit compliance and enforcement status of facilities regulated by the NPDES under the Clean Water Act (https://echo.epa.gov/tools/data-downloads/icis-npdes-download-summary). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{60e00df2-f4ee-47e2-abfe-722363d22e87}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 193 block groups in Durham, North Carolina. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8674FC78-EF42-49BC-8704-BDE65721D8D9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Durham, NC EnviroAtlas Area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2013-03-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FFCADD2D-FF08-4045-A2CB-30DB6762D51A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-03-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B53F3963-9997-48AF-BDC5-0E769B0113CF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Durham, NC Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{777F7F2D-032E-4D90-93CD-0A598E7A5170}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C337BA5F-8275-4BA8-9647-F63C443F317D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-03",
          "endDate": "2015-03-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also considered representative of local self-supplied water use. Specific to Durham, NC, the Division of Water Resources (DWR), part of the North Carolina Department of Natural Resources (NCDENR), has made local water supply plans centrally available online. All local governments are required to provide public water service. Community water systems with 1,000+ service connections or 3,000+ residents are required to prepare a local water supply plan. These plans include residential, also known as domestic, water usage. To account for variations due to weather, a ten-year average was calculated for Durham, Hillsborough, and the Orange Water and Sewer Authority (OWASA), which supplies southeast Orange County, including Chapel Hill and Carrboro. The ten-year average included available data between 2000 and 2010. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "North Carolina",
        "Drinking Water",
        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-08-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9F3F4B02-1836-4472-913B-4357D3FA3535}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-08-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2014-08-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1B934FE7-DA12-4DBE-943E-A5448DF2836B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-04-20",
          "endDate": "2012-04-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Durham, NC",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c8ba361b-85f8-4288-947f-f5df80181c3f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D3F797DB-7865-4E2C-A409-50F168EF355D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-18",
          "endDate": "2015-03-18"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2014-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AA7BE287-4207-443C-889A-5B39B028D44C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{315039B8-7682-40BB-9A71-BB04B75214A2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-25",
          "endDate": "2015-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AF794837-71B0-4B3F-AA95-996A9C19D8A6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.16606 35.86197, -78.77793 35.86197, -78.77793 36.12529, -79.16606 36.12529, -79.16606 35.86197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 193 block groups in Durham, North Carolina. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AA3CA642-7493-4391-BD8E-D361EC9F5D2D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Land Cover Summaries by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, wetland, and agriculture. Impervious is a combination of dark and light impervious. Green space is a combination of trees and forest and grass and herbaceous. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Agriculture",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{47B04639-1BEC-4CEA-9BF0-8392D946F53B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-04-04",
          "endDate": "2012-04-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Durham, NC -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The EnviroAtlas Durham, NC Meter-Scale Urban Land Cover (MULC) data was generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from July 2010 at 1 m spatial resolution. Five land cover classes were mapped: impervious surface, soil and barren, grass and herbaceous, trees and forest, and water. An accuracy assessment using a stratified random sampling of 500 samples yielded an overall accuracy of 83 percent using a minimum mapping unit of 9 pixels (3x3 pixel window). The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Durham, and includes the cities of Durham, Chapel Hill, Carrboro and Hillsborough, NC. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "North Carolina",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "Durham, NC"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2FF66877-A037-4693-9718-D1870AA3F084}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-07-01",
          "endDate": "2010-07-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F2450A1-F022-4769-B5BD-07E160DC981D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F2AF286C-349C-46FF-B31D-5E0C51438B2B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0ECF494E-DF62-44CC-B7DE-598899314D2D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{38956084-2AB2-422C-B56D-068C8CA6AAFE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5A797B3F-9BD8-4910-8789-4DDCDCF57233}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "North Carolina",
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        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-08-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F341A26B-4972-4C6B-B675-9B5E02F4F25F}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
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        "Ecosystem Services",
        "North Carolina",
        "Drinking Water",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6201C7D5-C28D-4065-A74C-E9047C4A20FC}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-21",
          "endDate": "2013-03-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
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      "issued": "2012-01-01",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
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        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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      },
      "identifier": "{9FB2E550-65E5-4A4B-9103-AF38ECFF9208}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
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          "endDate": "2013-03-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
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      "language": [
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      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
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        "geospatial",
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        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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      ],
      "modified": "2012-01-01",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{7EE86539-98B8-42F5-AFA6-1279B3400CAD}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
        {
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "language": [
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      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
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        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
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        "Riparian",
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      "publisher": {
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      },
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      "accessLevel": "public",
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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      "language": [
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      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
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        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
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        "Riparian",
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      ],
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      "publisher": {
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      "contactPoint": {
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      },
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      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2013-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-13",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "North Carolina",
        "Land Cover",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{48AB84F3-1315-489C-9C56-1A026BBE125C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.134618 35.844552, -78.788325 35.844552, -78.788325 36.133857, -79.134618 36.133857, -79.134618 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Durham, NC - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "North Carolina",
        "Durham, NC",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1ac9e95f-5911-4462-90d0-23dd823ff2c0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-78.788325 35.844552, -79.134618 35.844552, -79.134618 36.133857, -78.788325 36.133857, -78.788325 35.844552))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities"
      },
      "issued": "2017-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/DNC_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Predicted drinking water nitrate violations by 12-Digit HUC for the Conterminous United States",
      "description": "This map displays predicted probability of a 12-digit Hydrologic Unit (HUC12) being at risk of violating the drinking water nitrate standard. Risk is defined as there being greater than a 50% chance of having a drinking water violation. Observed violations of the nitrate standard in public drinking water was used to make predictions across the conterminous United States. The data on nitrate violations comes from the EPA's Safe Drinking Water Information System (SDWIS) and the data used as predictor variables in the prediction models comes from EPA's StreamCat database. The original predictions were made at the National Hydrography Dataset (NHD) Catchment scale and summarized at the HUC12 scale and/or 300 m pixel scale. The maps show that 19% of the conterminous United States is at risk of groundwater sourced drinking violations, while 16% of the U.S. is at risk of nitrate violations from surface water sources. Regions with the highest risk of nitrate drinking violations from groundwater sources are found in the southwest, south central plains, parts of north west, mid-Atlantic. Surface water sourced nitrate violations have the greatest risk primarily in the southwest and south-central areas of the U.S. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Contaminant",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Drinking Water",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Ground Water",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Surface Water",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-01-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "7c44dad0-98aa-45ee-8011-4e3d2332c5c7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2020-12-29",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Domestic Water Demand by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes domestic water demand attributes which provide insight into the amount of water currently used for indoor and outdoor residential purposes in the contiguous United States. The values are based on 2010 water demand and 2010 population distribution, and have been summarized by subwatershed, or 12-digit hydrologic unit code (HUC12). For the purposes of this metric, domestic water use includes residential uses, such as for drinking, bathing, cleaning, landscaping, and pools. Depending on the location, domestic water can be self-supplied, such as by private wells, or publicly-supplied, such as by municipalities. Sources include surface water and groundwater. Estimates are for primary residences only (i.e., excluding second homes and tourism rentals). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2015-12-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C6DBEBAB-03EF-43C8-8DCA-8D2845E06A96}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-15",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Indices of Ecological Integrity of stream confluences for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains indices of ecological integrity in the upstream catchments and watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7e8ed032-dacf-42bd-8acc-5a79ba895382}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ecosystem Service Market and Project Locations, U.S., 2015, Forest Trends' Ecosystem Marketplace",
      "description": "This EnviroAtlas dataset contains points depicting the location of market-based programs, referred to herein as markets, and projects addressing ecosystem services protection in the United States. The data were collected via surveys and desk research conducted by Forest Trends' Ecosystem Marketplace from 2008 to 2016 on biodiversity (i.e., imperiled species/habitats; wetlands and streams), carbon, and water markets. Additional biodiversity data were obtained from the Regulatory In-lieu Fee and Bank Information Tracking System (RIBITS) database in 2015. Points represent the centroids (i.e., center points) of market coverage areas, project footprints, or project primary impact areas in which ecosystem service markets or projects operate. National-level markets are an exception to this norm with points representing administrative headquarters locations. Attribute data include information regarding the methodology, design, and development of biodiversity, carbon, and water markets and projects. This dataset was produced by Forest Trends' Ecosystem Marketplace for EnviroAtlas in order to support public access to and use of information related to environmental markets. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Biodiversity",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{10C12176-4D56-44FF-94FC-F748B3AF2EE1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-11-01",
          "endDate": "2016-11-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other"
      },
      "issued": "2015-12-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Ecosystem_Marketplace_FGDB_October2016.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ecosystem Service Market and Project Areas, U.S., 2015, Forest Trends' Ecosystem Marketplace",
      "description": "This EnviroAtlas dataset contains polygons depicting the geographic areas of market-based programs, referred to herein as markets, and projects addressing ecosystem services protection in the United States. Depending upon the type of market or project and data availability, polygons reflect market coverage areas, project footprints, or project primary impact areas in which ecosystem service markets and projects operate. The data were collected via surveys and desk research conducted by Forest Trends' Ecosystem Marketplace from 2008 to 2016 on biodiversity (i.e., imperiled species/habitats; wetlands and streams), carbon, and water markets. Additional biodiversity data were obtained from the Regulatory In-lieu Fee and Bank Information Tracking System (RIBITS) database in 2015. Attribute data include information regarding the methodology, design, and development of biodiversity, carbon, and water markets and projects. This dataset was produced by Forest Trends' Ecosystem Marketplace for EnviroAtlas in order to support public access to and use of information related to environmental markets. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Biodiversity",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Waste",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E1E8576C-BAB7-4EC2-8541-E47271FCA5AD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-11-01",
          "endDate": "2016-11-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other"
      },
      "issued": "2015-12-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Ecosystem_Marketplace_FGDB_October2016.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ecosystem Service Market and Project Enabling Conditions, U.S., 2016, Forest Trends' Ecosystem Marketplace",
      "description": "This EnviroAtlas dataset contains polygons depicting conditions enabling market-based programs, referred to herein as markets, and projects addressing ecosystem services protection in the United States. Polygons represent the area in which a particular condition, policy, or regulation is implemented with the result of direct or indirect facilitation of a market-based approach to investing in and protecting biodiversity (i.e., imperiled species/habitats; wetlands and streams), carbon, and/or water ecosystem services. The data were collected via desk research conducted by Forest Trends' Ecosystem Marketplace during 2015-2016. Attribute data include the ecosystem service(s) of interest, year established, design mechanisms(s) employed, and the regulatory authority associated with a particular condition. This dataset was produced by Forest Trends' Ecosystem Marketplace for Enviroatlas in order to support public access to and use of information related to environmental markets. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Regulatory",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Biodiversity",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-12-16",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2D652B59-89E4-484F-A960-0C6A7690E143}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-09-01",
          "endDate": "2015-09-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other/EcoMarket_enablingconditions/MapServer"
      },
      "issued": "2015-12-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Ecosystem_Marketplace_FGDB_October2016.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Number of Water Markets per HUC8 Watershed, U.S., 2015, Forest Trends' Ecosystem Marketplace",
      "description": "This EnviroAtlas dataset contains polygons depicting the number of watershed-level market-based programs, referred to herein as markets, in operation per 8-digit HUC watershed throughout the United States. The data were collected via surveys and desk research conducted by Forest Trends' Ecosystem Marketplace during 2014 regarding markets operating to protect watershed ecosystem services. Utilizing these data, the number of water market coverage areas overlaying each HUC8 watershed were calculated to produce this dataset. Only water markets identified as operating at the watershed level (i.e., single or multiple watersheds define the market boundaries) were included in the count of water markets per HUC8 watershed. Excluded were water markets operating at the national, state, county, or federal lands level and all water projects. Attribute data include the watershed's 8-digit hydrologic unit code and name, in addition to the watershed-level water market count associated with the watershed. This dataset was produced by Forest Trends' Ecosystem Marketplace to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B6A72AB0-2DF1-42F4-BD45-0C046FF69F62}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-06-01",
          "endDate": "2015-06-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other"
      },
      "issued": "2015-12-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Ecosystem_Marketplace_FGDB_October2016.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ecosystem Services Market-Based Programs Web Service, U.S., 2016, Forest Trends' Ecosystem Marketplace",
      "description": "This EnviroAtlas web service contains layers depicting market-based programs and projects addressing ecosystem services protection in the United States. Layers include data collected via surveys and desk research conducted by Forest Trends' Ecosystem Marketplace from 2008 to 2016 on biodiversity (i.e., imperiled species/habitats; wetlands and streams), carbon, and water markets and enabling conditions that facilitate, directly or indirectly, market-based approaches to protecting and investing in those ecosystem services. This dataset was produced by Forest Trends' Ecosystem Marketplace for EnviroAtlas in order to support public access to and use of information related to environmental markets. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Regulatory",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Biodiversity",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Waste",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-02-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e1c4e0d2-6612-4fb1-a0c7-74672a2c6895}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-06-01",
          "endDate": "2015-06-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Other"
      },
      "issued": "2017-02-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Ecosystem_Marketplace_FGDB_October2016.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ecosystem Rarity Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset identifies rare ecosystems using base landcover data from the USGS GAP Analysis Program (Version 2, 2011) combined with landscape ecology principles. The metrics included in this data set identify total rare acres and the protected rare acres within each 12-digit Hydrologic Unit (HUC). The percentage of the terrestrial area of each HUC covered by rare ecosystems as well as the percent of rare acres that are protected are also included. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Protected Lands",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Quality",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Management",
        "Arkansas",
        "Michigan",
        "New Mexico",
        "New York",
        "Natural Resources",
        "Biodiversity",
        "Colorado",
        "Mississippi",
        "Oklahoma",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
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      },
      "identifier": "{5E591817-C13D-498A-BA0D-F3D28D986324}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-02-05",
          "endDate": "2013-02-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EJ and Impervious Cover",
      "description": "Geographic analysis of impervious cover and demographic attributes by 2010 Census block group. Demographic attributes and Census block groups were downloaded from the EJScreen web page (www.epa.gov/ejscreen). EJScreen technical documentation is available at website; click on the technical information link on the landing page; the link of the documentation is in the center of the web page.  NLCD2019 data for impervious cover were downloaded from www.mrlc.gov.  The impervious cover for 2001 and 2019 in the NLCD2019 database were used in the analysis.  The Census block groups downloaded from EJScreen were projected into Albers Conic Equal Area to match the NLCD2019 projection (Albers Conic Equal Area: central meridian=96.0 W; origin latitude=23.0 N; false easting=0.0; false northing=0.0; standard parallel 1=29.5 N; standard parallel 2=49.5 N; Geographic coordinate system=WGS84; WKID=4326) .\n\t\t",
      "keyword": [
        "010",
        "Climate",
        "geospatial",
        "National Geospatial Data Asset",
        "Environment",
        "Image processing",
        "Land",
        "digital spatial data",
        "GIS",
        "NGDA",
        "U.S. Geological Survey (USGS)",
        "020:072",
        "United States",
        "Land cover",
        "Land Use Land Cover Theme",
        "ImageryBaseMapEarthCover"
      ],
      "modified": "2023-01-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "James Wickham",
        "hasEmail": "mailto:wickham.james@epa.gov"
      },
      "identifier": "9e1265d8-13c1-4563-a867-20a300aa6987",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-127.700452 23.360434, -66.103258 23.360434, -66.103258 51.42191, -127.700452 51.42191, -127.700452 23.360434))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-11-25"
        }
      ],
      "issued": "2023-01-09",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/public/ORD/EnviroAtlas/EJ_IC.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percentage of Working Age Population Who Are Employed by Block Group for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the employment rate, or the percent of the population aged 16-64 who have worked in the past 12 months. The employment rate is a measure of the percent of the working-age population who are employed. It is an indicator of the prevalence of unemployment, which is often used to assess labor market conditions by economists. It is a widely used metric to evaluate the sustainable development of communities (NRC, 2011, UNECE, 2009). This dataset is based on the American Community Survey 5-year data for 2008-2012. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9A23AC68-7B13-4F79-B01C-D4679B75308D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Dasymetric Population in the Conterminous United States Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and slope. Used for metrics that require population to be spatially allocated at a pixel level, primarily in the urban section of the atlas. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Fresno, CA",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "Portland, OR",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Austin, TX",
        "Milwaukee, WI",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Detroit, MI",
        "Tampa Bay, FL",
        "Maryland",
        "United States",
        "Phoenix, AZ",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Portland, ME",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Durham, NC",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2013-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{988BD6D1-CD27-4D67-BF44-F9AEDD83D9B8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2013-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Accessibility Characteristics in the Conterminous U.S. Web Service",
      "description": "This EnviroAtlas web service includes maps that illustrate factors affecting transit accessibility, and indicators of accessibility. Accessibility measures how easily people can reach destinations such as their workplaces and can be measured in terms of both time and distance. It is affected by factors such as the proximity of housing to jobs, transit stops, stores, and services; the availability of various transit modes; and land use patterns. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{670e195f-b629-48c9-aa94-1ec06cda2bca}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Population and Residential Activity in the Conterminous U.S. Web Service",
      "description": "This EnviroAtlas web service includes maps that illustrate population and residential activity in each census block group as well as residential-location-based socioeconomic variables. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{62075a6a-2339-47a6-be3a-6845159001ae}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Employment Activity in the Conterminous U.S. Web Service",
      "description": "This EnviroAtlas web service includes maps that illustrate job activity in each census block group. Employment diversity, employment density, and proximity of employment to housing can affect commuting patterns. Having plentiful and diverse jobs located near housing can reduce commute time and allow for a greater variety of commute modes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c75b6623-5d47-498f-a50a-dae83e0e4363}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Housing in the Conterminous U.S. Web Service",
      "description": "This EnviroAtlas web service includes maps that illustrate the number and density of housing units. Housing density and the proximity of housing to employment can affect commuting patterns. Housing located near jobs can reduce commute time and allow for a greater variety of commute modes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-06-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9ea5e3e1-0964-4a94-914c-01ecce4e3b94}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2015-06-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potentially Restorable Wetlands on Agricultural Land - Contiguous United States Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The EnviroAtlas Potentially Restorable Wetlands on Agricultural Land (PRW-Ag) dataset shows potentially restorable wetlands at 30-meter resolution. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Wetland restoration could help restore these benefits. Potentially restorable wetlands, as developed for this map, are lands currently in agriculture that naturally accumulate water due to topography and have historically had poorly or very poorly draining soils. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-03-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{994C0DD5-3EFB-403F-84B4-3FDE1EC16ED5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
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          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-03-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRWAg.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potential Wetland Areas - Contiguous United States Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). The EnviroAtlas Potential Wetland Areas (PWA) dataset shows potential wetland areas at 30-meter resolution. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Wetland restoration could help restore these benefits. Potential wetland areas, as developed for this map, are lands that naturally accumulate water due to topography and have historically had poorly or very poorly draining soils. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-03-08",
      "publisher": {
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      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D8C16461-4057-412C-994E-98C12033CB96}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
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          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-03-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PWA.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Rare Ecosystems in the Conterminous United States Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset identifies rare ecosystems using base landcover data from the USGS GAP Analysis Program (Version 2, 2011) combined with landscape ecology principles. This raster dataset represents an index of rarity ranging from 0 (common) to 100 (rare). EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Fresno, CA",
        "North Dakota",
        "Protected Lands",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "Portland, OR",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Austin, TX",
        "Milwaukee, WI",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Detroit, MI",
        "Tampa Bay, FL",
        "Maryland",
        "United States",
        "Phoenix, AZ",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Quality",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Management",
        "Arkansas",
        "Michigan",
        "New Mexico",
        "New York",
        "Natural Resources",
        "Biodiversity",
        "Colorado",
        "Mississippi",
        "Oklahoma",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Portland, ME",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Durham, NC",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-05-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FD683594-C5DB-428F-880B-B454A3CAE2B0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-02-06",
          "endDate": "2013-02-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2013-05-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Rare_Ecosystems.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Estimated floodplain map for the Conterminous United States",
      "description": "Understanding the relationship between flood inundation and floodplains is critical for ecosystem and community health and well-being, as well as targeting floodplain and riparian restoration. Many communities in the United States, particularly those in rural areas, lack inundation maps due to the high cost of flood modeling. Only 60% of the conterminous United States has Flood Insurance Rate Maps (FIRMs) through the U.S. Federal Emergency Management Agency (FEMA). This EnviroAtlas dataset provides an estimate of the 100-year floodplain for the conterminous United States at 30-meter resolution to fill the gaps in the FIRM. The model hit rate for the CONUS was 0.79 compared to the FIRM, indicating that the model captured 79% of the 100-year floodplain identified by FEMA. This product provides complete coverage for the CONUS by identifying floodplains in areas without FIRMs, while also identifying floodplains in tributaries sometimes excluded by FEMA. More information can be found in the journal article (https://doi.org/10.1016/j.scitotenv.2018.07.353). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Missouri",
        "Wyoming",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-08-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4c37f02a-0c91-49b2-b7df-82ea4a6b9750}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-06-04",
          "endDate": "2018-06-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-08-27",
      "language": [
        "en"
      ],
      "theme": [
        "climatologyMeteorologyAtmosphere"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Estimated_floodplain_CONUS.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Availability of Local Food by Census Block Group for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains a count of the number of local farmers markets within each census block group (CBG) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2018-10-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{00cafb6e-770d-4afa-9ed5-de95a831e0d8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-05-20",
          "endDate": "2018-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-10-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Availability of Local Food by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains a count of the number of local farmers markets within each subwatershed (12-digit HUC) based on their location given within the USDA National Farmers Market Directory (https://www.ams.usda.gov/local-food-directories/farmersmarkets). This data has been processed from the original directory to remove duplicate locations, as well as a small subsample (25 markets) were corrected by hand in order avoid duplication across block group boundaries. This dataset is contemporary as of 5/20/2016, and downloaded from the USDA Agricultural Marketing Service (AMS) website. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2018-10-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{30136338-174b-46f6-aa6d-a014e0391c8b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-05-20",
          "endDate": "2018-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-10-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 405 block groups in Fresno, California. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Fresno, CA",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{736EE126-C066-482D-9CE8-A412693A70E9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Fresno, CA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2014-07-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{46061103-98CF-49DB-87F6-9F05D9DE2762}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-04-09",
          "endDate": "2014-04-09"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "California",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2014-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{958E8716-A21E-4700-A559-6F1120392869}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-25",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Fresno, CA Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2014-05-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6185ECB8-CC77-4860-8A76-1B23A5AAF48D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-09",
          "endDate": "2013-04-09"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2014-05-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Fresno, CA",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{84B98749-9C1C-4679-AE24-9B9C0998EBA5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by Census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to Fresno, CA, urban water management plan data is available through the California Department of Water Resources (CADWR). Suppliers that provide over 3,000 acre-feet or serve more than 3,000 connections are required to evaluate future water supplies and implement plans to reduce 2010 baseline consumption by 20% by 2020. Within the EnviroAtlas Fresno study area, there are two service providers, City of Fresno and City of Clovis, with baseline 2010 water use estimates of 313 and 249 GPD respectively. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Fresno, CA",
        "Drinking Water",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-08-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6B64B355-3589-48AC-AF12-20F38D747D5B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-08-11",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Census Block Groups",
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        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
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      ],
      "modified": "2014-07-31",
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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        "020:00"
      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-04-30",
          "endDate": "2014-04-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Fresno, CA",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "California",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{88f9659b-6c60-4665-b46d-ccda25924c7e}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.5072999 36.616154, -119.5072999 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2017-07-19",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, and Orchards. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Ecosystem Services",
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        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
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      ],
      "modified": "2014-07-25",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{D85DE191-9A4E-4559-9542-EBFAC5F9B191}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2014-07-25",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2014-09-16",
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        "name": "US Environmental Protection Agency, Research Triangle Park"
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      },
      "identifier": "{57C0EA7C-52A2-4F5D-A638-C0E36990BA98}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
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          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2014-09-16",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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      },
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
      "temporal": [
        {
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        }
      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-119.98725 36.616154, -119.5073 36.616154, -119.5073 36.968864, -119.98725 36.968864, -119.98725 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 405 block groups in Fresno, California. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "California",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A101F058-B7A7-4E0C-85D7-B0ACCC5B0D90}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest and Orchards. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, and Orchards. Agriculture is defined as Agriculture and Orchards. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "California",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{95EA4EB8-8403-4DD5-B8D0-32C831938098}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2014-07-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Fresno, California -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Fresno, CA EnviroAtlas Meter-Scale Urban Land Cover (MULC) Data were generated via supervised classification of combined aerial photography and LiDAR data. The air photos were United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1-m spatial resolution. Aerial photography ('imagery') was collected on multiple dates in summer 2010. Seven land cover classes were mapped: Water, impervious surfaces (Impervious), soil and barren (Soil), trees and forest (Tree), and grass and herbaceous non-woody vegetation (Grass), agriculture (Ag), and Orchards. An accuracy assessment of 500 completely random and 103 stratified random points yielded an overall user's accuracy (MAX) of 81.1 percent and a fuzzy user's accuracy (RIGHT) of 86.9 (see below). The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Fresno, CA plus a 1-km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Fresno, CA",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "California"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{87041CF3-05BC-43C3-82DA-F066267C9871}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Orchards. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Fresno, CA",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D8060C78-A6DE-43E7-B119-E6822489BFF6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Orchards. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Fresno, CA",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{08BF6A10-ACE5-4485-BFE1-F941C3614D22}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{690458F0-D39F-44F7-B129-C972EE09FDFC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.5072999 36.616154, -119.5072999 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5D957C70-5A37-48A6-B7D4-1E304710417F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
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        "Air",
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        "Environment",
        "Transportation",
        "Ecosystem Services",
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        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "modified": "2015-08-07",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      "issued": "2015-08-07",
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Land Cover",
        "Environmental Atlas",
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        "EnviroAtlas",
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      "modified": "2014-07-31",
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        "name": "US Environmental Protection Agency, Research Triangle Park"
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      "contactPoint": {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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        }
      ],
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    },
    {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
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    },
    {
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      "title": "EnviroAtlas - Fresno, CA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
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        }
      ],
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    },
    {
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      "title": "EnviroAtlas - Fresno, CA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Drinking Water",
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Fresno, CA",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1DDD75AC-3545-47DC-8FC7-EA2C810028D5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-25",
          "endDate": "2014-06-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Fresno, CA - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Fresno, CA",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2014-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1EEAE107-0B7E-4436-917E-E0F1BC82601F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-25",
          "endDate": "2014-06-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/FCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Synthetic N fertilizer application to agricultural lands by 12-digit HUC in the Conterminous United States, 2006",
      "description": "This EnviroAtlas dataset contains data on the mean synthetic nitrogen (N) fertilizer application to cultivated crop and hay/pasture lands per 12-digit Hydrologic Unit (HUC) in 2006. Synthetic N fertilizer inputs in 2006 were estimated using county-level estimates of farm N fertilizer inputs. We acquired county-level data describing total farm-level inputs (kg N/yr) of synthetic N fertilizer to individual counties in 2006 from the United States Geological Survey (USGS) (http://pubs.usgs.gov/sir/2012/5207/). These data were converted to per area rates (kg N/ha/yr) of synthetic N fertilizer application by dividing the total N input by the land area (ha) of combined cultivated crop and hay/pasture lands within a county as determined from county-level (http://cta.ornl.gov/transnet/Boundaries.html) summarization of the 2006 National Land Cover Database (NLCD; http://www.mrlc.gov/nlcd06_data.php). We distributed county-specific, annual per area N inputs rates (kg N/ha/yr) to cultivated crop and hay/pasture lands (30 x 30 m pixels) within the corresponding county using the raster calculator tool in ArcMap 10.0 (ESRI, Inc., Redlands, CA). Fertilizer data described here represent an average input to a typical agricultural land type within a county, i.e., they are not specific to individual crop types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{09DF9B39-6CC8-4DFF-A14D-1BA14C06321F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Inorganic phosphorus fertilizer application for 2012 by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas national map displays the application rate of inorganic phosphorus (P) fertilizer on agricultural land in the conterminous United States (excluding Hawaii and Alaska) for the year 2012 by 12-digit HUC. These data are based on International Plant Nutrition Institute (IPNI) compilations of county and state fertilizer sales for 2012 and cropland area from the USGS's U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{35ba485f-b30f-4d03-a5bc-11a4f0025904}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-119.987249 36.616154, -119.507299 36.616154, -119.507299 36.968864, -119.987249 36.968864, -119.987249 36.616154))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2016 forest connectivity for Alaska",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of forest, core fragmentation, and patterns of connectivity among core patches. Forest is treated as foreground in this dataset; forest land cover classes are separated from the all other land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\t\t",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "geospatial",
        "Conservation",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land",
        "Land Cover",
        "Green Infrastructure",
        "Environmental Atlas",
        "Management",
        "020:072",
        "United States",
        "EnviroAtlas"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "297E7BD1-0932-4460-B396-0F92A65B451A",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 48.338816, 180.0 48.338816, 180.0 71.421538, -180.0 71.421538, -180.0 48.338816))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Forest_connectivity_AK_2016.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Forest_connectivity_AK_2016/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2024 forest connectivity for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of forest, core fragmentation, and patterns of connectivity among core patches. Forest is treated as foreground in this dataset; forest land cover classes are separated from the all other land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Green Infrastructure",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Management",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Habitat",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "265AC7DE-57EE-4C93-A9B0-D1161CCA8956",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-129.27732 21.805095, -63.11843 21.805095, -63.11843 52.92189, -129.27732 52.92189, -129.27732 21.805095))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Forest_connectivity_CONUS_2024.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Forest_connectivity_CONUS_2024/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Freshwater Fishing Recreation Demand by 12-Digit HUC in the Conterminous United States",
      "description": "This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for freshwater fishing by location in the contiguous United States. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Boundaries",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{28db3b57-618c-4257-bb4a-4946e9c1e8c4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Farm Service Land Rental Rates by County for the United States",
      "description": "This EnviroAtlas data set depicts estimates for mean cash rent paid for land by farmers, sorted by county for irrigated cropland, non-irrigated cropland, and pasture by for most of the conterminous US. This data comes from national surveys which includes approximately 240,000 farms and applies to all crops. According to the USDA (U.S. Department of Agriculture) National Agricultural Statistics Service (NASS), these surveys do not include land rented for a share of the crop, on a fee per head, per pound of gain, by animal unit month (AUM), rented free of charge, or land that includes buildings such as barns.  For each land use category with positive acres, respondents are given the option of reporting rent per acre or total dollars paid. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-02-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5437f70d-c37a-4b3a-a4d0-a501cd8fb19b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-04",
          "endDate": "2017-01-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-02-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 155 block groups in Green Bay, Wisconsin. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Green Bay"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{49310074-5E28-4378-9549-45E32F40F1E4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Green Bay, WI EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2014-07-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0E92B56C-F58E-4FAC-8B75-BE483AFF22D7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-01",
          "endDate": "2014-05-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Green Bay, WI",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{15E44C6E-3B16-414B-AFB5-5AAD66D7F4AB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Green Bay, WI Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2014-05-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{592586B0-4078-4CF7-B610-29C9DDE1D9F5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-05-01",
          "endDate": "2013-05-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2014-05-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is trees & forest and woody wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{69E48A44-3D30-4E84-A764-38FBDCCAC3D0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/GBWI_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Water utility service reporting in the EnviroAtlas-defined study area is available through the Public Service Commission of Wisconsin (http://psc.wi.gov/). Within the Green Bay boundary, there are seven service providers with 2008-2013 estimates ranging from 36 to 48 GPD. This dataset was produced by the U.S. EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Green Bay, WI",
        "Water"
      ],
      "modified": "2014-09-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EE1BCD10-006A-46A4-BA65-E354ABDBE1EF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-09-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7F21696D-7159-44A3-AB1E-67EE0B722AB4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-03-11",
          "endDate": "2014-03-11"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Green Bay, WI",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{199d2a45-0375-45b4-bcc6-d1fed26091b0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8E481B1F-B729-4C8C-BFFD-7E17B6E4EF18}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2014-09-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0E4377FF-C5EE-43B2-BD6A-1BA38713E994}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-09-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2114EC25-BC5A-481A-9F51-12116CD8993A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-27",
          "endDate": "2015-03-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Transportation",
        "Ecosystem Services",
        "Wisconsin",
        "Green Bay, WI",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FF478160-DCFF-453D-A7B7-F2C03DF1BC85}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/GBWI_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 155 block groups in Green Bay, Wisconsin. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Green Bay, WI",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{88838E57-BACF-459B-AB5D-0465A637CA09}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Green Bay, WI",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{384D86C0-1B54-48CC-AFB4-2419D479A1B3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-03-11",
          "endDate": "2014-03-11"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Green Bay, Wisconsin -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Green Bay, WI Meter-Scale Urban Land Cover (MULC) dataset comprises 936 km2 around the city of Green Bay, surrounding towns, tribal lands and rural areas in Brown and Outagamie Counties. These leaf-on LC data and maps were derived from 1-m pixel, four-band (red, green, blue, and near-infrared) aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) on three dates in 2010: July 3, July 25, and August 5. LiDAR data collected on November 18, 2010 was integrated for the Brown County portion. Eight land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, agriculture, and wetlands (woody and emergent). Wetlands were copied from the best available existing wetlands data. Analysis of a random sampling of 566 photo-interpreted land cover reference points yielded an overall user's accuracy (MAX) of 90.4% and a fuzzy user's accuracy (RIGHT) of 94.1%. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Green Bay, WI",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D602E7C9-7F53-4C24-8237-746FD3A82CE8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.361895 44.342264, -87.853055 44.342264, -87.853055 44.653172, -88.361895 44.653172, -88.361895 44.342264))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/GBWI_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Green Bay, WI",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CCBA48F8-FAC6-47A9-9214-2CC572EDC00C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Wisconsin",
        "Green Bay, WI",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{70B5DB55-197E-4250-8324-00C5AA1F7F15}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A8EA353A-6EFF-4D2C-8222-37A677E69ABB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87987 44.3551, -87.87987 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Green Bay, WI"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8675EC55-2CCE-4B83-972A-A23CD6618B09}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-13",
          "endDate": "2014-06-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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        "Green Bay, WI",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/GBWI_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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      "modified": "2013-11-08",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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    },
    {
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      "rights": [
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      ],
      "spatial": [
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    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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        }
      ],
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    },
    {
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      "rights": [
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      ],
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Green Bay, WI",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{37EB23AE-51E4-4F96-980E-26C1CD0CCBEA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-12",
          "endDate": "2014-06-12"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Green Bay, WI - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Green Bay, WI",
        "Water"
      ],
      "modified": "2014-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BA2AA91A-E450-48E0-BE36-B5123CBE6024}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.34016 44.3551, -87.87984 44.3551, -87.87984 44.6401, -88.34016 44.6401, -88.34016 44.3551))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-12",
          "endDate": "2014-06-12"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//GBWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Indicators of geologic (lithosphere) conditions for stream confluence catchments for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains indices of geologic (lithosphere) conditions in the upstream catchments of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{70100219-c75f-473f-81e8-fc4abab28a00}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Indicators of geologic (lithosphere) conditions for stream confluence watersheds for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains indices of geologic (lithosphere) conditions in the upstream watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1724c61b-f548-4fae-aa7f-b323f59be739}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Major Grains and Cotton by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the number of major grains grown, yield in tons, and area in hectares for several major grains and for cotton by 12-digit Hydrologic Unit (HUC). It is based on the United States Department of Agriculture's 2010 Cropland Data Layer (CDL) and data on yields and sales from the National Agricultural Statistics Service (NASS). The grains included in this dataset are corn, barley, cotton, durum wheat, oats, rye, rice, sorghum, spring wheat, soybeans, and winter wheat; it does not include data on every grain. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Food",
        "Connecticut",
        "12-digit HUCs",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0AB7D24B-BFC6-40CF-9C1B-641F36C18EFE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2007-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Green Space Proximity Gradient Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3a8f566a-2b4f-4a44-8cb4-6fa31c84fa3b}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
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        "Louisiana",
        "Florida",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Ground Water",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
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        "Nevada",
        "Rhode Island",
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        "Idaho",
        "California",
        "Georgia",
        "Utah",
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        "Minnesota"
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      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for Hawaii",
      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
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        "geospatial",
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        "Sustainability",
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        "Environmental Atlas",
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for Hawaii",
      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
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        "geospatial",
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      "issued": "2024-08-15",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Historic Places by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each 12-digit Hydrologic Unit (HUC). The historic places data were compiled from the National Park Service's National Register of Historic Places (NRHP), which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
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        "Wyoming",
        "Missouri",
        "Illinois",
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        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "@type": "Location",
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Hydrologic Sinks for the U.S. Pacific Territories",
      "description": "This EnviroAtlas GIS dataset represents hydrologic sinks and major depressions in the landscape that are more than 2 meters deep, have a surface area of more than 78 square meters, and are fully on land. The dataset covers nine islands in the U.S. Pacific Territories of Guam, the Northern Mariana Islands, and American Samoa (the nine islands are Guam, Saipan, Tinian, Aguijan, Rota, Tutuila, Ofu, Olosega, and Ta'u) and was created using Digital Elevation Models from NOAA (2019-2022) as well as NOAA CCAP 1m landcover (2020-2021) and NCCOS (NOAA National Centers for Coastal and Ocean Science) shoreline files (2004-2005). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "Northern Mariana Islands",
        "Map Files",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "American Samoa",
        "020:072",
        "Land Cover",
        "Environmental Atlas",
        "Guam",
        "Ground Water",
        "Green Infrastructure",
        "United States Pacific Territories",
        "EnviroAtlas",
        "Water"
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          "endDate": "2022-12-31"
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      ],
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      "title": "EnviroAtlas - Stream Confluence Dataset - Hydrologic attributes of stream confluences for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains information about hydrologic attributes of the upstream catchments and watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a9e794f5-7b01-4477-97b3-47461cb929de}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percentage of stream and water body shoreline lengths within 30 meters of >= 5% or >= 15% impervious cover by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the percentages of stream and water body shoreline lengths within 30 meters of impervious cover by 12-digit Hydrologic Unit (HUC) subwatershed in the contiguous U.S. Impervious cover alters the hydrologic behavior of streams and water bodies, promoting increased storm water runoff and lower stream flow during periods in between rainfall events. Impervious cover also promotes increased pollutant loads in receiving waters and degraded streamside habitat. This dataset shows were impervious cover occurs close to streams and water bodies, where it is likely to have a greater adverse impact on receiving waters. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Riparian",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cf3132f1-4d70-4316-9cf2-07ffec3e4112}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 303(d) Impairments by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset depicts the total length of stream or river flowlines that have impairments submitted to the EPA by states under section 303(d) of the Clean Water Act. It also contains the total lengths of streams, rivers, and canals, total waterbody area, and stream density (stream length per area) from the US Geological Survey's high-resolution National Hydrography Dataset (NHD). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Contaminant",
        "Delaware",
        "South Carolina",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Biota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Regulatory",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-04-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F6AE1B0B-9C59-463C-9D80-BAE4AA460CEE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-05-01",
          "endDate": "2015-05-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-04-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2019 Percent Impervious Cover by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each 12-digit hydrologic unit code (HUC) in the conterminous United State that is impervious to water infiltration using the National Land Cover Database 2019 (NLCD2019) Percent Developed Impervious dataset.\n\nThis dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Surface Water",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2021-11-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{831D980C-FA14-4093-9BE9-CDE589C35339}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-03-25",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Impervious Proximity Gradient Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1c335481-1280-4767-8ee7-205d6c05d6f2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Household income metrics related to quality of life by Census Block Group for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the percentage of population within different household income ranges for each Census Block Group (CBG), a threshold estimated to be an optimal household income for quality of life, and the percentage of households with income below this threshold. Data were compiled from the Census ACS (American Community Survey) 5-year Summary Data (2008-2012). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Census Block Groups",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-03-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b188b882-f130-43c6-9000-cd1e6f871a6d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Industrial Water Demand (2010) by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes industrial water demand attributes which provide insight into the amount of water currently used for manufacturing and production of commodities in the contiguous United States. The values are based on 2010 water demand and Dun and Bradstreet's 2009/2010 source data, and have been summarized by watershed or 12-digit hydrologic unit code (HUC). For the purposes of this metric, industrial water use includes chemical, food, paper, wood, and metal production. The industrial water is for self-supplied only such as by private wells or reservoirs. Sources include either surface water or groundwater. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Ground Water",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-03-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4E58C04B-8A17-4B07-9EE4-1D9365D5B0D9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2009-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Estimated Intersection Density of Walkable Roads Web Service",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in each EnviroAtlas community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. For specific information about each community's intersection density layer, consult their individual metadata records: Austin, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B72177756-4DD2-4133-8E85-C4C46BFAEEE2%7D); Birmingham, AL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bc892e710-81cf-4ba3-a551-8024ffa7049f%7D); Baltimore, MD (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Ba950ce43-bbe0-44ba-805a-b413147e0092%7D); Brownsville, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B990c2af4-2ac6-40f8-a7dc-cfea1479616b%7D); Chicago, IL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bb521f10b-4505-4867-ba2d-70719f667bbb%7D); Cleveland, OH (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Beb14c0ca-f26c-47eb-8198-02fba73784d6%7D); Des Moines, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA5C3A6F2-CA61-4E78-B57D-289E45B34EF5%7D); Durham, NC (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BAF794837-71B0-4B3F-AA95-996A9C19D8A6%7D); Fresno, CA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0D3E33D1-81C5-456E-A581-58049701ACED%7D); Green Bay, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BFF478160-DCFF-453D-A7B7-F2C03DF1BC85%7D); Memphis, TN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9C5E1317-F07D-4CEF-935A-A494E0BE7A7F%7D); Minneapolis/St. Paul, MN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bea532fdb-df76-4c5b-afcf-2af27d5b5e10%7D); Milwaukee, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B991BCB95-1624-4102-95D5-6B1E382F5C12%7D); New Bedford, MA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B89E0CE0B-DAEE-430E-A8E4-C486B3FD803F%7D); New Haven, CT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bf39d7d21-064d-4498-9926-743d543bc8f0%7D); New York, NY (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BD70DE411-6B72-4806-9B40-04921B3EA230%7D); Phoenix, AZ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BAFC1F0E1-EC52-41E4-8682-8885BED5A9B7%7D); Pittsburgh, PA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BDA4B629D-3224-45AD-8C32-F27253634ED4%7D); Portland, ME (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1CAE7A89-3562-4706-AA12-1E6220006179%7D); Paterson, NJ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BE1E6BB36-9E9E-41B8-BF44-33D56CCAE145%7D); Portland, OR (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B17F6E916-7805-40AD-85E1-61B63BBDE193%7D); Salt Lake City, UT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bdbab21bf-487d-4116-bbfc-8a26109daf27%7D); Tampa, FL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B356EC846-7733-4AA3-8E0D-83DFA5AA2C52%7D); Virginia Beach/Williamsburg, VA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B3ff033c2-1d11-4dbf-aea7-f8bb8244bcc3%7D); and Woodbine, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4E7173AD-5D8E-426A-9431-67FE34833523%7D). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Memphis, TN",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "Green Bay, WI",
        "Portland, OR",
        "Tennessee",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Tampa, FL",
        "Milwaukee, WI",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Arizona",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "Communities",
        "Texas",
        "Cleveland, OH",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Durham, NC",
        "New York, NY",
        "California",
        "Transportation",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4a7dad9e-a242-42d7-b851-36654d12c220}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 6421 block groups in Los Angeles County, California. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Los Angeles County, CA. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b4be6186-bd98-4182-882d-e590e2633609}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Los Angeles, CA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-08-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{342f9a6f-b12d-4602-9d25-373efe7684b4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2019-08-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fb5fbcb1-234b-46ae-b40f-83bc3a1a0580}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-12",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Los Angeles, CA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-08-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{91455ba0-43c0-47e5-a6b2-8eca6076fbb9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2019-08-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Habitat",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-11-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{852303d3-6306-49a2-93e7-a9fb7b784b1b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/LACA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by Census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to Los Angeles, CA, Urban Water Management Plans (available via data.ca.gov and individual providers) and an average of available Residential Gallons Per Capita per Day (R-GPCD) data (available through the California State Water Resources Control Board (CSWRCB)) were used. Within the EnviroAtlas community boundary, provider estimates range from 42 to 255 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Los Angeles, CA",
        "Drinking Water",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2019-09-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e0001426-94db-4e3c-892d-a21962caa793}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-09-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dde72f05-11da-4b0a-b064-9c1631bf04f4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-07-13",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "California",
        "Hazards",
        "Human"
      ],
      "modified": "2019-09-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1fb6f601-845d-4f04-b09c-083ddcbaf547}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-09-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-08-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{234c3216-619d-4361-8767-a8727d8762e0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2019-08-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{acf6d295-dc09-4ffc-8ced-bfd7a1d35666}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2019-08-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{993db311-6882-4096-8cb0-9bec80a71280}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2019-08-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-08-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{736e9bb1-d953-4d2e-9cca-de63b0d33f18}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-08-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/LACA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 6421 block groups in Los Angeles County, California. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Los Angeles, CA",
        "Environmental Atlas",
        "California",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2021-03-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fa12ed2c-24dd-45e2-83aa-5f5d01d95e9c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2021-03-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "California",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-08-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{18f8519b-c5dd-407e-9138-0b0cc2cb3edd}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Los Angeles County, CA -- Meter-Scale Urban Land Cover (MULC) Data (2016)",
      "description": "The Los Angeles County, CA Meter Urban Land Cover (MULC) dataset was generated from sub-meter image pixel resolution data created by the University of Vermont Spatial Analysis Laboratory (SAL) through the combined use of 2016 USDA National Agricultural Imagery Program (NAIP) four band (red, green, blue and near infrared) aerial imagery, 2016 LiDAR data and 2014 ortho-imagery. The sub-meter, thematic landcover data feature attributes were recoded and spatially resampled to a 1-meter spatial scale by EPA for MULC data product integration. The mapped area is confined to the boundaries of US Census Bureau's 2010 Urban Statistical Area for Los Angeles County, with an added 1km coastal water buffer area extension. The following eight land cover classes were mapped: Water, Impervious, Soil or Barren, Trees or Forest, Grass or Herbaceous, Woody Wetlands and Emergent Wetlands. Integrated wetland features were derived using ancillary National Wetlands Inventory (NWI) polygon data (version 2), downloaded from the Unites States Fish and Wildlife Service (USFWS) Wetland Mapper web mapping service (https://www.fws.gov/wetlands/data/mapper.html). Metadata for the NWI wetlands data layer can be found at http://www.fws.gov/wetlands/Data/Metadata.html. An accuracy assessment of the classified product, using 887 completely random and 40 stratified random photo-interpreted land cover reference sample points yielded an overall user's accuracy (MAX) of 61.1 percent and a fuzzy user's accuracy (RIGHT) of 89.2 percent. For data workflow processing details see Overview Description section. This dataset was produced by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy (UTC) assessment program, and the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Natural Resources",
        "Exposure",
        "Ecology",
        "Land",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Recreation",
        "Los Angeles",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Water"
      ],
      "modified": "2019-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ccc7c413-9908-4e20-83e1-acf01b05de38}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.983754 33.22547, -117.63047 33.22547, -117.63047 34.836351, -118.983754 34.836351, -118.983754 33.22547))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2016-08-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/LACA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-08-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9f421a0b-1a82-42cb-9f51-f68169a53a94}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2019-08-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-08-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c2959c77-1c79-4e2f-ba99-e70fc1f73e19}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2019-07-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c69db231-4e1e-4850-9542-db5ab075ddd3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-07-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2019-07-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{49681807-1c43-45e1-9f40-b9520af03c35}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2019-07-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
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        "geospatial",
        "Environment",
        "Transportation",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-09-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{83ddd113-0d1e-484f-b1c0-c651b3c6b58d}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-09-11",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/LACA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
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        "Transportation",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-08-23",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d38cc89c-c279-41c7-b6c2-cc751328eea2}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-08-23",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/LACA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "geospatial",
        "Environment",
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        "Land Cover",
        "Environmental Atlas",
        "California",
        "Ground Water",
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        "EnviroAtlas",
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      ],
      "modified": "2019-08-14",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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      },
      "identifier": "{fc58b1aa-d26c-422f-bda4-1a138411a00f}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environmental Atlas",
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      },
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      },
      "identifier": "{4d67486d-6fe3-472e-a78e-13a531b56e8c}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environmental Atlas",
        "California",
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      ],
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      },
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
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        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2019-08-15",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Los Angeles, CA",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2019-08-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7bf19972-2fae-46ba-b7ad-e123d7fac270}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2019-08-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Los Angeles, CA",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2019-08-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{61f07a6b-ce92-4ad2-bf79-513f02c797bc}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Los Angeles, CA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-08-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{13fa8d47-f240-4cab-9cea-bc1e9b716394}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Los Angeles, CA - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Los Angeles, CA",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2019-07-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0167e588-f339-4ff8-bd38-2f3cb4453848}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-118.9272 33.24023, -117.65058 33.24023, -117.65058 34.83098, -118.9272 34.83098, -118.9272 33.24023))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-07-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//LACA_metrics_May2021_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2019 Floodplain Land Cover Proportions for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area in estimated floodplains that is classified as natural, forest, shrubland, wetland, developed, low intensity developed, medium intensity developed, high intensity developed, agriculture, pasture, cropland, and rangeland land cover for each 12-digit hydrologic unit code (HUC) in the conterminous United States. Land cover is defined using the 2019 National Land Cover Dataset (NLCD). Floodplains were defined using the EnviroAtlas FEMA_RF_Blend dataset dated 3/25/2019.\n\nThis dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Surface Water",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-05-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5a535ea3-0e87-4331-b083-906954bfae16}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-07-13",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Land Cover Proportions by 12-digit HUC for Alaska",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover as well as those labeled tundra, shrubland, herbaceous, and perennial snow/ice using the 2016 National Land Cover Dataset (NLCD) for each 12-digit hydrologic unit code (HUC) in Alaska. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "United States",
        "geospatial",
        "Environment",
        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "12-digit HUCs",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2020-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9335d1c9-a5e3-4c44-a498-9cd597afd515}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.229655487448 51.1568278424693, 179.856674735386 51.1568278424693, 179.856674735386 71.4395725901531, -179.229655487448 71.4395725901531, -179.229655487448 51.1568278424693))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2020-05-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/AK_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas One Meter Resolution Urban Land Cover Data (2008-2012) Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas ). The EnviroAtlas One Meter-scale Urban Land Cover (MULC) Data were generated individually for each EnviroAtlas community. Source imagery varies by community. Land cover classes mapped also vary by community and include the following: water, impervious surfaces, soil and barren land, trees, shrub, grass and herbaceous, agriculture, orchards, woody wetlands, and emergent wetlands. Accuracy assessments were completed for each community's classification. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Land",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Ohio",
        "Green Bay, WI",
        "Portland, OR",
        "Tennessee",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Los Angeles, CA",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Salt Lake City, UT",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Water",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "New Bedford, MA",
        "New York",
        "Impact",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Agriculture",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-10-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{adf673a0-11b4-40d6-befd-8bf75b370cba}",
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      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
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      "issued": "2016-10-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2019 Land Cover Proportions by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as natural, forest, wetland, agricultural, and developed land cover using the 2019 National Land Cover Dataset (NLCD) for each 12-digit hydrologic unit code (HUC) in the conterminous United States.\n\t\t\n\t\tDatasets for other geographies were produced separately; metadata for these related datasets may be found here: \n\t\tAlaska https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/LandCover_AK.xml, \n\t\tHawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/LandCover_HI.xml, \n\t\tPuerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/LandCover_PRVI.xml. \n\n\t\tThis dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Natural Resources",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2021-11-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "ee057db8-dc92-4171-9566-e7e8cfd0cb26",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-11-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2005-2011 Land Cover by 12-digit HUC for Hawaii",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover using the EnviroAtlas composite of the 2005-2011 Coastal Change Analysis Program (C-CAP) land cover dataset for each 12-digit hydrologic unit code (HUC) in Hawaii. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "geospatial",
        "Environment",
        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Hawaii",
        "12-digit HUCs",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2019-08-01",
      "publisher": {
        "@type": "org:Organization",
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "@type": "Location",
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/HI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2012 Land Cover by 12-digit HUC for Puerto Rico and the US Virgin Islands",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as natural, forest, wetland, agricultural, natural, and developed land cover using the EnviroAtlas version of the 2010 and 2012 Coastal Change Analysis Program (C-CAP) land cover datasets for the US Virgin Islands and Puerto Rico for each 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "Virgin Islands",
        "geospatial",
        "Environment",
        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
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        "EnviroAtlas",
        "Puerto Rico",
        "Water"
      ],
      "modified": "2019-07-31",
      "publisher": {
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      "contactPoint": {
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.673736, -64.565191 17.673736, -64.565191 18.516091, -67.951455 18.516091, -67.951455 17.673736))"
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      ],
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        }
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      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Land cover attributes for stream confluence catchments for the Conterminous United States - 2001",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
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      },
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
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      ],
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          "endDate": "2015-01-21"
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      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
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        }
      ],
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      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Land cover attributes for stream confluence watersheds for the Conterminous United States - 2001",
      "description": "This EnviroAtlas dataset contains land cover proportions for the upstream watersheds of stream confluences for 2001. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Delaware",
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        "North Dakota",
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        "South Dakota",
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        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
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      },
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
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        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-21",
          "endDate": "2015-01-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      "title": "EnviroAtlas - Stream Confluence Dataset - Land cover attributes for stream confluence catchments for the Conterminous United States - 2011",
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        "Wyoming",
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        "Illinois",
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        "Florida",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        "New Hampshire",
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        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
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        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "description": "This EnviroAtlas dataset contains changes in land cover proportions between 2001 and 2011 for the upstream watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Georgia",
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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        "Illinois",
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        "New Hampshire",
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        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
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      ],
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
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      "issued": "2015-05-07",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phosphorus application as manure for 2012 by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas national map displays the application rate of phosphorus (P) as manure on croplands in the conterminous United States (excluding Hawaii and Alaska) for the year 2012 by 12-digit HUC. These data are based on county-level data on P as recoverable manure from concentrated animal feeding operations (CAFOs) from the International Plant Nutrition Institute (IPNI) and cropland area from the USGS's U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT) 2012 land cover data. These are thus not actual application rates but rather estimated rates based on the production of recoverable manure and the amount of agricultural lands close by. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-10-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1b54f913-4e36-482a-a670-69f19786a048}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2012-01-01",
          "endDate": "2012-01-01"
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      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Migratory Bird Hunting Recreation Demand by 12-Digit HUC in the Conterminous United States",
      "description": "This EnviroAtlas dataset includes the total number of recreational days per year demanded by people ages 18 and over for migratory bird hunting by location in the contiguous United States. These values are based on 2010 population distribution, 2011 U.S. Fish and Wildlife Service (FWS) Fish, Hunting, and Wildlife-Associated Recreation (FHWAR) survey data, and 2011 U.S. Department of Agriculture (USDA) Forest Service National Visitor Use Monitoring program data, and have been summarized by 12-digit hydrologic unit code (HUC). This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
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        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Boundaries",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
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      "modified": "2016-06-13",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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          "startDate": "2010-01-01",
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      "accrualPeriodicity": "irregular",
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        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - MSPA connectivity with water as background and 1-pixel edge width for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as background in this dataset; waterbodies are separated from the natural land cover classes and included in the analysis with the developed land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Land",
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        "Pennsylvania",
        "Rhode Island",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      "accrualPeriodicity": "irregular",
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - MSPA connectivity with water as background and 3-pixel edge width for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as background in this dataset; waterbodies are separated from the natural land cover classes and included in the analysis with the developed land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as foreground in this dataset; waterbodies are included with core natural areas and included in the analysis with the natural land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - MSPA connectivity with water as foreground and 3-pixel edge width for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as foreground in this dataset; waterbodies are included with core natural areas and included in the analysis with the natural land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Structure",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Green Infrastructure",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-03-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{12036d85-1cef-4b3e-a416-bc79a80a729c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-17",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPA2011_WF_8311.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - MSPA connectivity with water as missing and 1-pixel edge width for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as missing in this dataset; waterbodies are masked out and not included in the analysis with the development and natural land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Structure",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
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        "Green Infrastructure",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-03-17",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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      },
      "identifier": "{b7ddc7a5-8cc6-45e6-b3ca-87488c5dbb21}",
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
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          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
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      ],
      "accrualPeriodicity": "irregular",
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      "issued": "2017-03-17",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPA2011_WM_8111.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - MSPA connectivity with water as missing and 3-pixel edge width for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, connector, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as missing in this dataset; waterbodies are masked out and not included in the analysis with the development and natural land cover classes. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Structure",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
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        "Tennessee",
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        "Louisiana",
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        "New Hampshire",
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        "Arizona",
        "Indiana",
        "Ecology",
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        "Wisconsin",
        "Environmental Atlas",
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        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-03-17",
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      },
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      "accessLevel": "public",
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPA2011_WM_8311.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,772 block groups in Minneapolis/St. Paul, Minnesota. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Anoka, Dakota, Hennepin, and Ramsey Counties, MN. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
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        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
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      },
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      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
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          "endDate": "2000-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Minneapolis/St. Paul, MN EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
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        "Environmental Atlas",
        "EnviroAtlas",
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      ],
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
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          "endDate": "2010-01-01"
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      ],
      "accrualPeriodicity": "irregular",
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      },
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      "language": [
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      "theme": [
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        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
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      ],
      "modified": "2016-09-09",
      "publisher": {
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      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{765ebdd9-3713-4974-a82a-e0af4c68626a}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Minneapolis/St. Paul, MN EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{32f4aeed-fb97-4601-bd05-0bcadf475857}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is defined as Trees & Forest and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "enviroatlas-minneapolis-st-paul-mn-tree-cover-configuration-and-connectivity",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPMN_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD or GPCD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential water use reporting in the EnviroAtlas-defined study area is available through the Minnesota Geospatial Commons website. Within the Minneapolis/St Paul study area, there are 45 estimates from 2005 ranging from 42 to 167 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
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        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Minneapolis/St. Paul, MN",
        "Drinking Water",
        "Minnesota",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6c29143a-e955-4afe-8401-faac49609d73}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community,green space is defined as Trees and Forest, Grass and Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{be696d31-3343-41b2-9a19-6b143be1e914}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Minneapolis/St. Paul, MN",
        "Flood",
        "Hazards",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d67a5058-671b-4bf8-bf21-a14730588ff4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees and Forest, Grass and Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{55c524a1-74e6-4c01-877a-19fcf1e2da60}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7d1bd4ce-8f34-4979-bbb8-9f86788092f7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{51dbd196-bd1b-4343-baed-7be94cf72e6d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "Minnesota"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ea532fdb-df76-4c5b-afcf-2af27d5b5e10}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPMN_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,772 block groups in Minneapolis/St. Paul, Minnesota. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Minnesota",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{344cacad-db43-49d0-8704-236f39b6adbf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, agriculture, and wetlands. In this community, forest is defined as Trees and Forest and Woody Wetlands.and green space is defined as Trees and Forest, Grass and Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{df80151d-710a-4ded-8d1d-98831b178eec}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Minneapolis/St. Paul, MN -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Minneapolis-St. Paul, MN EnviroAtlas Meter-scale Urban Land Cover (MULC) data were generated from four-band (red, green, blue, and near infrared) aerial photography provided by the United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP). The NAIP imagery for the state of Minnesota was collected during the summer and fall of 2010. Lidar data and relevant ancillary datasets contributed to the classification. Eight land cover types were classified: water, impervious surface, soil and barren land, trees and forest, grass and herbaceous, agriculture, woody wetland, and emergent wetland. An accuracy assessment of 644 completely random and 62 stratified random photointerpreted reference points yielded an overall User's Accuracy of 83 percent. The boundary of this data layer is delineated by the US Census Bureau's 2010 Urban Statistical Area for Minneapolis-St. Paul, MN plus a 1-km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Agriculture",
        "Minnesota"
      ],
      "modified": "2016-12-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8e426180-b263-48b0-ac28-514adc076f03}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.7854091301 44.5899921157, -92.9610329068 44.5899921157, -92.9610329068 45.3094922328, -93.7854091301 45.3094922328, -93.7854091301 44.5899921157))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPMN_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees and Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1a723653-0eb5-48c5-ad15-23617b2edb42}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees and Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2009f5bc-e4e3-46d8-87fc-96a4bec9a387}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{985471ae-f8b6-4f35-a510-7b62087159f2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environmental Atlas",
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        "Recreation",
        "EnviroAtlas",
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      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6a46d7c8-a344-4d19-a111-0c96a2fda15f}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees and Forest, Grass and Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
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        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
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      ],
      "modified": "2016-10-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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      "contactPoint": {
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
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        }
      ],
      "accrualPeriodicity": "irregular",
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      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MSPMN_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees and Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
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        "Land Cover",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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      ],
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          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, forest is defined as Trees and Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
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      ],
      "accrualPeriodicity": "irregular",
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      "language": [
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      "distribution": [
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees and Forest, Grass and Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, forest is defined as Trees and Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
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      ],
      "accrualPeriodicity": "irregular",
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        {
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          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees and Forest, Grass and Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Drinking Water",
        "Land Cover",
        "Minnesota",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c3e91c42-8c59-469b-8d1b-fcfed11c3fc7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, forest is defined as Trees and Forest and Woody Wetlands. and vegetated cover is defined as Trees and Forest, Grass and Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Drinking Water",
        "Land Cover",
        "Minnesota",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{547a3d12-8fcf-4bfb-92ed-9275745390b1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, forest is defined as Trees and Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "Minnesota"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e20621c1-27e9-4fb4-8cee-035302ec42c9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Minneapolis/St. Paul, MN - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Minneapolis/St. Paul, MN",
        "Environmental Atlas",
        "Human Well-being",
        "Minnesota",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-09-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e26fbd82-c372-4e86-aefd-8955df3da84f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-93.772509 44.601617, -92.974149 44.601617, -92.974149 45.297876, -93.772509 45.297876, -93.772509 44.601617))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-09-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MSPMN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 703 block groups in Memphis, Tennessee. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Tennessee",
        "Modeling",
        "Memphis, TN",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6A87D03C-3810-49C1-AC70-57B22625C328}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Memphis, TN EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7C471986-A8AD-4299-AB8E-16B98B6BDC3E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-05",
          "endDate": "2013-11-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FA170F4C-1230-488F-8B5C-B04583D69259}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Memphis, TN EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CE000148-3663-4A52-B98C-4069BB693CFF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-10-24",
          "endDate": "2013-10-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). Forest is defined as Trees & Forest and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "enviroatlas-memphis-tn-tree-cover-configuration-and-connectivity-water-background",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-03",
          "endDate": "2015-03-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MTN_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential water use in the EnviroAtlas-defined study area is estimated at between 81 and 100 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Tennessee",
        "Utilities",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-02-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{009DC293-238A-45BD-8404-3FD20B9126CC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C6586DCF-066A-4F59-9088-1F37742B518C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-20",
          "endDate": "2015-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Memphis, TN",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Tennessee",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7fc02bf1-9a32-4d74-a3e0-e0d1ea4e115b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.385504, -90.319154 35.385504, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{754C27D5-C0EA-41B1-9B45-6E00EAEFC526}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-21",
          "endDate": "2015-07-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EB00218A-48CD-4215-910D-0E9134027520}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8D2851A7-E783-49F8-A0C6-9B1AD784411B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-21",
          "endDate": "2015-07-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9C5E1317-F07D-4CEF-935A-A494E0BE7A7F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.385504, -90.319154 35.385504, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MTN_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 703 block groups in Memphis, Tennessee. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Tennessee",
        "Modeling",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E1D73F82-A206-4AF7-9658-A1CFFD6154EC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-12-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, agriculture, and wetlands. Forest is defined as Trees & Forest and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{80A22622-4B2C-4C27-843D-F0B7E3610F02}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-20",
          "endDate": "2015-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Memphis, Tennessee -- Meter-Scale Urban Land Cover (MULC) Data (2012)",
      "description": "The Memphis, TN EnviroAtlas One Meter-scale Urban Land Cover (MULC) dataset comprises 2,733 km2 around the city of Memphis, surrounding towns, and rural areas. These leaf-on LC data and maps were derived from 1-m pixel, four-band (red, green, blue, and near-infrared) aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) on four dates in 2012: June 15, June 18, June 21 and June 23, and one date in 2013: July 12. Three separate LiDAR (Light Detection and Ranging) data sets collected on February 19, 2009 - August 2, 2010, December 1-2, 2011 and January 23-24, 2012 were integrated for Shelby Co., TN, Crittenden Co., AR, and DeSoto Co, MS. Five MULC classes were mapped directly from the NAIP and LiDAR data: Water, Impervious, Soil, Trees, and Grass/Herbaceous. Agriculture was derived from USDA Common Land Unit (CLU) data. Woody and emergent wetlands were copied from existing National Wetlands Inventory (NWI) data. Analysis of a random sampling of 612 photo-interpreted land cover reference points yielded an overall users accuracy of 86.9%. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Land",
        "Surface Water",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-12-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{61C69E94-1EB4-42B7-8C56-4D064C05243E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.32455 34.71478, -89.624648 34.71478, -89.624648 35.402557, -90.32455 35.402557, -90.32455 34.71478))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MTN_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9DBB7006-B86C-43B7-8531-38F8D3E229A3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2014-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{30C8C193-233A-4FEA-81BF-159F22B7CC9B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B553C7FE-2F39-49F3-8CA2-FF7DF6765FC3}",
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      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-12-01",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "Communities",
        "geospatial",
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        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
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      },
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      },
      "identifier": "{BBF52A70-DCCF-4DB6-ACDE-82A321A03F8C}",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-20",
          "endDate": "2015-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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        "Ecosystem",
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        "Air",
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        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
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        "EnviroAtlas",
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      ],
      "modified": "2015-12-02",
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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      "language": [
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      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/MTN_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
      "temporal": [
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      ],
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          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. Forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Land Cover",
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      "modified": "2015-11-30",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
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          "startDate": "2015-07-21",
          "endDate": "2015-07-21"
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. Vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. Forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
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      ],
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      ],
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. Vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AACB2A04-8675-43BC-81E6-EACBEB8ABCCD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-21",
          "endDate": "2015-07-21"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. Forest is defined as Trees & Forest and Woody Wetlands. Vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2CE454EA-9382-4375-881A-96FA485296D3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-07-20",
          "endDate": "2015-07-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. Forest is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7869ADB1-85CF-4D5A-B989-36DFC1C3919A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Memphis, TN - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Tennessee",
        "Memphis, TN",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B5D1624C-90C3-4050-AF0C-258153B6BC48}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.319154 34.732073, -89.628181 34.732073, -89.628181 35.40234, -90.319154 35.40234, -90.319154 34.732073))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MTN_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,175 block groups in Milwaukee, Wisconsin. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Milwaukee, Ozaukee, Washington, and Waukesha Counties, WI. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{57730CE3-F739-41E7-BF53-F98834151778}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Milwaukee, WI EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2017-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BA0816D2-0CE1-4B05-A89F-C4041D24DD48}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2017-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A780D52C-AB37-4DF2-A141-94D3DB292249}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Milwaukee, WI EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2017-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{34B78FAB-9584-4B84-ADA8-116628366799}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-11-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{743BCDE5-141B-414F-B85B-1E9C16B08EA5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MWI_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Oversight of water utilities at the state level is handled by the Public Service Commission of Wisconsin. Within the Milwaukee boundary, there are 30 service providers with 2008-2012 estimates ranging from 39 to 74 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2014-10-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{12033935-1ABA-4D77-89B0-914E40EE5A83}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.54936 42.84283, -87.79614 42.84283, -87.79614 43.44913, -88.54936 43.44913, -88.54936 42.84283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-10-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2017-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1D52E6B0-9540-4CCA-8234-F8742790648E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Milwaukee, WI",
        "Water",
        "Floodplain",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ac91e0d3-8299-43f5-af11-90b03bde21cd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.54936 42.84283, -87.79614 42.84283, -87.79614 43.44913, -88.54936 43.44913, -88.54936 42.84283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9AEF0BAA-8C8D-49BD-A6FD-0CA4FCBC159B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2014-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F8A9526-1D4D-4321-B122-06F2202EB7FD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.54936 42.84283, -87.79614 42.84283, -87.79614 43.44913, -88.54936 43.44913, -88.54936 42.84283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "EnviroAtlas"
      ],
      "modified": "2017-11-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9E570625-171E-4C99-805A-CB693059A067}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-11-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{991BCB95-1624-4102-95D5-6B1E382F5C12}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MWI_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,175 block groups in Milwaukee, Wisconsin. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EE017535-9D3C-43E7-89B1-AE908F209B64}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Milwaukee, WI",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{104F9776-1473-4B41-A8F3-15C80EF50879}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Meter-Scale Urban Land Cover Data (MULC) Data (2010)",
      "description": "The EnviroAtlas Milwaukee, WI Meter Urban Land Cover (MULC) data and map were generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from Late Summer 2010 at 1 meter spatial scale. Eight land cover classes were mapped: water, impervious surfaces (dark and light), soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, agriculture, and wetlands (woody and emergent). An accuracy assessment yielded an overall user's accuracy (MAX) of 76.2 percent and a fuzzy user's accuracy (RIGHT) of 85.5 (see Overview section). The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Milwaukee. This dataset was produced by Oneida Total Integrated Enterprises (OTIE), its subcontractor, the University of Arkansas Center for Advanced Spatial Technologies (CAST), and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Milwaukee, WI",
        "Water",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-03-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9780F143-C78D-4FB6-91C1-DDCDCAE30EBE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.54936 42.84283, -87.79614 42.84283, -87.79614 43.44913, -88.54936 43.44913, -88.54936 42.84283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MWI_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F66406EC-DE10-4BB8-B948-8B7E7B487ABE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{24A7E9CD-EF30-4381-A1C6-6248298304B1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AE21A127-D4ED-415F-BC4C-D3CD3117E35C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E0EC8E26-0688-4EC5-8611-BF300054820E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1F0F363E-147B-4253-8912-0EBF54D548FC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-11-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MWI_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{922381C1-009A-4EC6-AAE8-7809AE0B23D7}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
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          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2017-11-21",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/MWI_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6D35F1D5-7301-494C-BFE2-6A1446810ADC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. Vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
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        "Environmental Atlas",
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        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5426CC75-0953-4BC9-86F3-B96DFB6DA661}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{52EEA142-035E-48F4-981F-9EA4F3279F9B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7DD7C43B-E15A-43C1-94CD-91512F22E89E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Milwaukee, WI",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{88E6AD36-C6D1-4C64-BFFE-EC5CCE916CC4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C2C6C515-654B-4C2F-9917-594D7E920A67}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Milwaukee, WI - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Milwaukee, WI",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{92BF58F3-6820-466B-8980-EDCDBB70A81E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.53393 42.83492, -87.80415 42.83492, -87.80415 43.4568, -88.53393 43.4568, -88.53393 42.83492))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//MWI_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Selected National Air Toxics Assessment Results by County - 2014",
      "description": "These layers are a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 counties. The Environmental Protection Agency (EPA) developed NATA as a screening tool to identify potential health risks from toxic air pollutants for further study. Please see NATA's website (https://www.epa.gov/national-air-toxics-assessment) for information about using NATA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the Compare my Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.",
      "keyword": [
        "Ecosystem",
        "Contaminant",
        "Delaware",
        "South Carolina",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Missouri",
        "Risk",
        "Wyoming",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Puerto Rico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{52db5976-973e-4a7f-8650-d483cbc2ee12}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
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      ],
      "accrualPeriodicity": "irregular",
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      "issued": "2019-08-15",
      "language": [
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://epa.maps.arcgis.com/home/item.html?id=9c229d15674e439699806dbdc2abbacd",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Selected National Air Toxics Assessment Results by State - 2014",
      "description": "These layers are a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by state. The Environmental Protection Agency (EPA) developed NATA as a screening tool to identify potential health risks from toxic air pollutants for further study. Please see NATA's website (https://www.epa.gov/national-air-toxics-assessment) for information about using NATA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the Compare my Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.",
      "keyword": [
        "Ecosystem",
        "Contaminant",
        "Delaware",
        "South Carolina",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Missouri",
        "Risk",
        "Wyoming",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
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        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Puerto Rico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-15",
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
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      "accrualPeriodicity": "irregular",
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      "issued": "2019-08-15",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://epa.maps.arcgis.com/home/item.html?id=9c229d15674e439699806dbdc2abbacd",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Selected National Air Toxics Assessment Results by Census Tract - 2014",
      "description": "These layers are a selection of the National Air Toxics Assessment (NATA) 2014 estimates of ambient concentrations and health-effect results by 2010 U.S. Census Tract. The Environmental Protection Agency (EPA) developed NATA as a screening tool to identify potential health risks from toxic air pollutants for further study. Please see NATA's website (https://www.epa.gov/national-air-toxics-assessment) for information about using NATA. This dataset is based on data from 2014 NATA, which was produced by the US EPA to estimate health risks from toxic air pollutants. It was modified for incorporation into the Compare my Area tool. The NATA results are available as downloadable data from https://www.epa.gov/national-air-toxics-assessment/2014-nata-assessment-results.",
      "keyword": [
        "Ecosystem",
        "Contaminant",
        "Delaware",
        "South Carolina",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Missouri",
        "Risk",
        "Wyoming",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Puerto Rico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-08-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{99b1d6d6-cdf2-4c19-ba63-fdb8f11eafdb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2019-08-15",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://epa.maps.arcgis.com/home/item.html?id=9c229d15674e439699806dbdc2abbacd",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Large, Medium, and Small Natural Areas for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains the percentage of small, medium, and large natural areas for each Watershed Boundary Dataset (WBD) 12-Digit Hydrologic Unit Code (HUC-12) of the conterminous United States that is considered Natural based on the National Land Cover Database (NLCD). The percentage of natural area is by size class: Small is <500 acres, Medium is 500-25,000 acres, and Large is > 25,000 acres. Natural land cover combines NLCD-CDL 63, 83, 87, 111, 112, 131, 141, 142, 143, 151, 152, 171, 190, 195. This dataset was produced by the Tetra Tech, Inc. to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B803EDB7-3BE0-4ADF-870C-2EB9733310AE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas National Layers Master Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes layers depicting EnviroAtlas national metrics mapped at the 12-digit HUC within the conterminous United States. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Washington DC",
        "Virginia",
        "Estuary",
        "Oregon",
        "Chesapeake Bay",
        "Canada",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Indicator",
        "Montana",
        "Conservation",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Hawaii",
        "12-digit HUCs",
        "Carbon",
        "Florida",
        "Alabama",
        "Chesapeake Bay Watershed",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Recreation",
        "New York",
        "Vermont",
        "Mississippi",
        "geospatial",
        "Modeling",
        "Habitat",
        "Surface Water",
        "Idaho",
        "Georgia",
        "Transportation",
        "Massachusetts",
        "South Carolina",
        "Land",
        "North Dakota",
        "Protected Lands",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "Kansas",
        "Forest",
        "North Carolina",
        "Food",
        "Washington",
        "Regulatory",
        "Sites",
        "Indiana",
        "Economy",
        "Land Cover",
        "Arkansas",
        "New Mexico",
        "Monitoring",
        "Riparian",
        "Soils",
        "Michigan",
        "Oklahoma",
        "Texas",
        "Alaska",
        "Species",
        "Puerto Rico",
        "Ecosystem",
        "Contaminant",
        "Delaware",
        "Biota",
        "Iowa",
        "Trees",
        "Potential for Change - Ecosystem Services",
        "Ecosystem Services",
        "Exposure",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "United States",
        "New Jersey",
        "New Hampshire",
        "Quality",
        "Wisconsin",
        "Management",
        "Impact",
        "Natural Resources",
        "Colorado",
        "Boundaries",
        "Nevada",
        "Rhode Island",
        "Endangered",
        "Human",
        "Minnesota",
        "Climate",
        "Maine",
        "Environment",
        "Biology",
        "Maryland",
        "Water",
        "Louisiana",
        "Energy",
        "Arizona",
        "American Samoa",
        "Toxics",
        "Mexico",
        "Biodiversity",
        "Air",
        "West Virginia",
        "Pennsylvania",
        "Threatened",
        "Agriculture",
        "California",
        "Utah"
      ],
      "modified": "2017-02-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fe643065-3153-46a5-8c5e-b9cc3ede39ff}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2017-02-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Native Freshwater Aquatic Biodiversity by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset describes the native freshwater aquatic biodiversity by 12-digit HUC (subwatershed) for the conterminous United States. It includes amphibians, fish, mollusks, decapods, and turtles. The metrics are: total species richness; count of threatened and endangered species; a rarity index; and a native vulnerability index. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "Imperiled",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Threatened",
        "Endangered",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{63eab210-e5bc-4e7c-bb6d-15dfae09b2ec}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-05-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
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      "keyword": [
        "Ecosystem",
        "Alaska",
        "geospatial",
        "Conservation",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land",
        "Land Cover",
        "Green Infrastructure",
        "Environmental Atlas",
        "Management",
        "020:072",
        "United States",
        "EnviroAtlas"
      ],
      "modified": "2025-06-30",
      "publisher": {
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      },
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      },
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      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
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          "@type": "Location",
          "bbox": "POLYGON((-180.0 48.338816, 180.0 48.338816, 180.0 71.421538, -180.0 71.421538, -180.0 48.338816))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Natural_land_cover_connectivity_water_as_background_AK_2016.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Natural_land_cover_connectivity_water_as_background_AK_2016/ImageServer",
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2024 natural land cover connectivity with water as background for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as background in this dataset; waterbodies are separated from the natural land cover classes and included in the analysis with the developed land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Green Infrastructure",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Management",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Habitat",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
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      },
      "identifier": "6A4CCE86-CD78-42CB-9465-1453EDAE7F74",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
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          "endDate": "2024-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
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      "distribution": [
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Natural_land_cover_connectivity_water_as_background_CONUS_2024/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2016 natural land cover connectivity with water as foreground for Alaska",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as foreground in this dataset; waterbodies are included in the analysis with the natural land cover classes and separated from the developed land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "geospatial",
        "Conservation",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land",
        "Land Cover",
        "Green Infrastructure",
        "Environmental Atlas",
        "Management",
        "020:072",
        "United States",
        "EnviroAtlas"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "6C5BEF0C-72F1-4D09-AA3F-70BA82563A6E",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 48.338816, 180.0 48.338816, 180.0 71.421538, -180.0 71.421538, -180.0 48.338816))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Natural_land_cover_connectivity_water_as_foreground_AK_2016.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Natural_land_cover_connectivity_water_as_foreground_AK_2016/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – 2024 natural land cover connectivity with water as foreground for the conterminous United States",
      "description": "This EnviroAtlas dataset categorizes land cover into structural elements (e.g. core, edge, branch, etc.). It depicts core areas of natural land cover, core fragmentation, and patterns of connectivity among core patches. Water is treated as foreground in this dataset; waterbodies are included in the analysis with the natural land cover classes and separated from the developed land cover classes.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Green Infrastructure",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Management",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Habitat",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-06-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "2719A40A-A18E-4D64-9174-BAE72BC0EFFF",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-129.27732 21.805095, -63.11843 21.805095, -63.11843 52.92189, -129.27732 52.92189, -129.27732 21.805095))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2024-01-01",
          "endDate": "2024-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Natural_land_cover_connectivity_water_as_foreground_CONUS_2024.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Natural_land_cover_connectivity_water_as_foreground_CONUS_2024/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - NatureServe Analysis of Imperiled or Federally Listed Species by HUC-12 for the Conterminous United States",
      "description": "This EnviroAtlas dataset includes analysis by NatureServe of species that are Imperiled (G1/G2) or Listed under the U.S. Endangered Species Act (ESA) by 12-digit Hydrologic Units (HUCs). The analysis results are for use and publication by both the LandScope America website and by the EnviroAtlas. Results are provided for the total number of Aquatic Associated G1-G2/ESA species, the total number of Wetland Associated G1-G2/ESA species, the total number of Terrestrial Associated G1-G2/ESA species, and the total number of Unknown Habitat Association G1-G2/ESA species in each HUC12. NatureServe is a non-profit organization dedicated to developing and providing information about the world's plants, animals, and ecological communities. NatureServe works in partnership with 82 independent Natural Heritage programs and Conservation Data Centers that gather scientific information on rare species and ecosystems in the United States, Latin America, and Canada (the Natural Heritage Network). NatureServe is a leading source for biodiversity information that is essential for effective conservation action. This dataset was produced by NatureServe to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Biota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "Biology",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Biodiversity",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Threatened",
        "Endangered",
        "Idaho",
        "Species",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9E49350E-728C-4B75-90B5-A2A2A62C019E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 17.673736, -64.565191 17.673736, -64.565191 71.439573, -128.02839229 71.439573, -128.02839229 17.673736))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-10-14",
          "endDate": "2011-10-14"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 128 block group in New Bedford, Massachusetts. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "New Bedford",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Massachusetts",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6FD091EA-47E1-4D4F-AE1F-F3335F200E50}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the New Bedford, MA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{476514A6-7569-463B-B06C-15B41C485E29}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts",
        "Human"
      ],
      "modified": "2014-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E4EFA84E-DBE2-4957-982E-F925B9FFEDCF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the New Bedford, MA Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2013-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CF310BFF-73E9-4084-AEA8-04E6A444DB09}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is trees & forest and woody wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "New Bedford, MA",
        "Green Infrastructure",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7230F45E-5C9A-4A81-A4CC-A554F820A5E6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NBMA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Residential Gallons per Capita per Day (RGPCD) in the EnviroAtlas-defined study area is available through the Commonwealth of Massachusetts' (mass.gov). Within the New Bedford boundary, there are five service providers with 2008-2013 estimates ranging from 45 to 76 GPD.This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Massachusetts",
        "New Bedford, MA",
        "Water"
      ],
      "modified": "2014-10-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{300C9AEE-CE7E-4BA4-858F-62E5DDB4EC8B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-10-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2014-02-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F227FB6-AA78-4025-AB29-FDF90E146983}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-12-31",
          "endDate": "2013-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-02-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Massachusetts",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f149b8f3-9116-4ad3-aba6-e8f8464c3973}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{61266EC3-8065-4FA6-BA62-7AAAE2CE7FA3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-19",
          "endDate": "2015-03-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Massachusetts",
        "New Bedford, MA"
      ],
      "modified": "2014-09-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{271EEB8C-EBB8-4513-835B-E86D3CE47D56}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-09-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D7C6E530-7E8A-4CC4-A206-0FB27D793695}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-25",
          "endDate": "2015-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "EnviroAtlas",
        "Health",
        "Massachusettes"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{89E0CE0B-DAEE-430E-A8E4-C486B3FD803F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NBMA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 128 block group in New Bedford, Massachusetts. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "New Bedford, MA",
        "Trees",
        "EnviroAtlas",
        "Massachusetts",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2370BB5A-1E9D-4505-9E67-6285DE5630BD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. Forest is a combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts",
        "Natural Resources"
      ],
      "modified": "2014-02-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CFA7B8FC-B211-410D-B0C1-9A6A1CEB5429}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-09",
          "endDate": "2014-01-09"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-02-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- New Bedford, Massachusetts -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The New Bedford, MA Meter-Scale Urban Land Cover (MULC) data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m spatial resolution. Imagery was collected in August of 2010. Seven land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, woody wetlands and emergent wetlands. An accuracy assessment of 500 completely random and 45 stratified random points yielded an overall user's accuracy (MAX) of 92.3% and an overall fuzzy user's accuracy (RIGHT) of 95.1%. The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for New Bedford, MA plus a 1 km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "New Bedford, MA",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "Massachusetts"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{901B707A-F205-4B85-A9C1-8C01DA206E60}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.108338 41.540689, -70.770086 41.540689, -70.770086 41.894446, -71.108338 41.894446, -71.108338 41.540689))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NBMA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "Trees",
        "EnviroAtlas",
        "Massachusetts",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C0D14034-B230-435C-8357-91CF1FC55AA3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "Trees",
        "EnviroAtlas",
        "Massachusetts",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5877E839-048D-4578-B7F9-554897C567EC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Massachusetts",
        "New Bedford, MA"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8C1C9324-A5EB-4256-BCE9-B9133388BBD0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Massachusetts",
        "New Bedford"
      ],
      "modified": "2020-01-08",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{15DE4903-7C9D-4F61-9761-53D9904447C1}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
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        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
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        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "Trees",
        "EnviroAtlas",
        "Massachusetts",
        "Health"
      ],
      "modified": "2015-12-02",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
        {
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2015-12-02",
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/NBMA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "modified": "2015-08-07",
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      },
      "identifier": "{ECA7BDD7-8461-4C97-A406-B52B7B453282}",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "temporal": [
        {
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          "endDate": "2010-01-01"
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      ],
      "accrualPeriodicity": "irregular",
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      "issued": "2015-08-07",
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      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/NBMA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Land Cover",
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        "Ground Water",
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        "Massachusetts",
        "Natural Resources",
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      ],
      "modified": "2014-02-25",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-14",
          "endDate": "2014-01-14"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
      "temporal": [
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      ],
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      ],
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    },
    {
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      ],
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          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "New Bedford, MA",
        "Impact",
        "EnviroAtlas",
        "Massachusetts",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D40CC0AB-C73F-4021-9C90-002396318687}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-09",
          "endDate": "2014-01-09"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "Trees",
        "EnviroAtlas",
        "Massachusetts",
        "Natural Resources"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{00493E9F-FECB-4B7B-A406-98FD6C26E519}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-19",
          "endDate": "2014-06-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Bedford, MA - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "EnviroAtlas",
        "Massachusetts",
        "Water"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{980643A8-2DB1-4A8B-B995-C29B010911C4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-71.05506 41.57308, -70.78054 41.57308, -70.78054 41.85484, -71.05506 41.85484, -71.05506 41.57308))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-18",
          "endDate": "2014-06-18"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NBMA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sum of population near roads without tree buffer for the conterminous United States",
      "description": "This EnviroAtlas dataset is a summary of total population near major roads without any tree buffer within 12-digit Hydrologic Units (HUC_12), based on the National Land Cover Database 2011 (NLCD 2011) percent tree canopy cover (TCC 2011) dataset. The metric is a measure of potential exposure to particulate matter from exhaust from traffic. Studies have shown that tree buffers can help improve air quality by filtering particulate matter for those living or working near roads. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "Exposure",
        "North Carolina",
        "Missouri",
        "Wyoming",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-05-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A5DD4702-89C7-4167-93EF-62E114461D33}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 444 block groups in New Haven, Connecticut. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Middlesex and New Haven Counties, CT. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "New Haven, CT",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-12-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{079168e9-beb6-4017-b783-5e833c5c8025}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-12-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the New Haven, CT EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Connecticut",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d12736b2-4c54-4744-92ad-75c7c851038a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "Connecticut",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b056ed6c-ae88-476c-9d8d-75ed1d7d6f7a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency, and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the New Haven, CT EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "New Haven, CT",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Connecticut",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{799c19d2-9268-48c3-82e2-3d515ca97fea}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is defined as Trees & Forest and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c67a0a5e-8f67-4685-b6c7-851bf21d90f1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency, and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHCT_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community-level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). The South Central Connecticut Regional Water Supply (RWA) estimates domestic water use at 50 GPD and supplies water to the western half of the study area. The U.S. Geological Survey (USGS) estimates publicly and self-supplied domestic water use at 75 GPD for the eastern half of the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "New Haven, CT",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Connecticut",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5f9ef1bf-0ee6-458c-83a1-6f6ad92f969d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Connecticut",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c270de37-4f87-4c36-90db-29eab8e7daf4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Connecticut",
        "Water",
        "New Haven, CT",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{58fc2c21-941a-40f2-b2fc-348447ff850f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.109535 41.207187, -72.304353 41.207187, -72.304353 41.603395, -73.109535 41.603395, -73.109535 41.207187))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Connecticut",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4b724510-6500-403d-bb6e-82f7855550ed}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Connecticut"
      ],
      "modified": "2017-03-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2c779097-7265-4dc4-b126-b516cbc6113d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "EnviroAtlas"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{da56ba2a-5ed0-4c61-a30b-03c052efc57e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f39d7d21-064d-4498-9926-743d543bc8f0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHCT_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 444 block groups in New Haven, Connecticut. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "New Haven, CT",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-12-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dda504d7-4c92-4456-bd47-9314759d415f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-12-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. In this community, forest is defined as Trees & Forest and Woody Wetlands and green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Connecticut",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{209585f0-c5e8-4363-a7a6-b21487675142}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Meter-Scale Urban Land Cover Data (2014)",
      "description": "The EnviroAtlas New Haven, CT EnviroAtlas Meter-scale Urban Land Cover (MULC) Data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m spatial scale acquired on September 25, 2014. Seven land cover classes were mapped: water, impervious surfaces, soil and barren land, trees, and grass-herbaceous non-woody vegetation,as well as woody wetlands and emergent herbaceous wetlands. An accuracy assessment of 500 completely random and 50 stratified random photo-interpreted reference points yielded an overall MAX accuracy of 89 percent and an overall RIGHT accuracy of 92 percent. The area mapped is the US Census Bureau's 2010 Urban Statistical Area for New Haven, CT plus a 1 km buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Connecticut",
        "Water",
        "New Haven, CT",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{66bb3d88-be8d-428e-b137-0a427d0ad41c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-97.683809 25.824946, -97.131017 25.824946, -97.131017 26.190659, -97.683809 26.190659, -97.683809 25.824946))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHCT_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4ee24ede-422c-4626-b512-baf728e7318e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6da2bcbb-9802-4312-842c-592ca6188ce6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Connecticut"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0fc681be-3e94-4f30-aafd-8f658fa4f709}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Connecticut"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9d0bac80-69fc-4649-9131-95f276da0ca0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a660a9d0-7133-49e8-a5a5-b1862e737ad6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHCT_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, forest is defined as Trees & Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f8f4bca9-cfa4-4efd-899c-079690b8c708}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHCT_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7f868866-c5ce-493b-8a5b-a76633ba05fd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{555a1fe3-eea3-408e-9c29-99aa9ea99cc8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{572a5ab3-f384-4483-a5eb-7e5fc8d3947f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4fe5d6d6-0b62-4b75-8b82-e6029a65e557}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, forest is defined as Trees & Forest and Woody Wetlands and vegetated cover is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Connecticut",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c9ba8d53-fd2b-4271-9a05-bf91113ed58a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, forest is defined as Trees & Forest and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{803b25fb-a0ad-4cdf-b485-76898a772e99}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New Haven, CT - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "New Haven, CT",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Connecticut",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-03-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1a3a6b78-0b4a-4a8d-a7fd-d1c8e8867037}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.086852 41.231658, -72.331482 41.231658, -72.331482 41.578894, -73.086852 41.578894, -73.086852 41.231658))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-03-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NHCT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - NHDPlus V2 Flowlines and Waterbodies Web Service - Conterminous United States",
      "description": "This EnviroAtlas web service contains layers depicting NHD Version 2.1 Plus flowlines and waterbodies for the conterminous United States. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Stream Order",
        "Delaware",
        "Climate",
        "South Carolina",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Regulatory",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Waterbody",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "Flowline",
        "Landscape Conservation Cooperatives",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "Community",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-02-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{19adbf65-443a-4289-bcc1-e43d871d1765}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.859953 24.51224, -66.885441 24.51224, -66.885441 49.384487, -124.859953 49.384487, -124.859953 24.51224))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-02-02",
          "endDate": "2015-02-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-02-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/Other",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - NHDPlus V2 Hydrologic Unit Boundaries Web Service - Conterminous United States",
      "description": "This EnviroAtlas web service contains layers depicting hydrologic unit boundary layers and labels for the Subregion level (4-digit HUCs), Subbasin level (8-digit HUCs), and Subwatershed level (12-digit HUCs) for the conterminous United States. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Washington DC",
        "Oregon",
        "Chesapeake Bay",
        "South Dakota",
        "Montana",
        "Conservation",
        "Tennessee",
        "Kentucky",
        "12-digit HUCs",
        "Florida",
        "Utah",
        "Alabama",
        "Chesapeake Bay Watershed",
        "Environmental Atlas",
        "Hydrologic Units",
        "New York",
        "Vermont",
        "Mississippi",
        "geospatial",
        "Habitat",
        "Idaho",
        "Georgia",
        "Hydrologic Unit Code",
        "Massachusetts",
        "South Carolina",
        "North Dakota",
        "EnviroAtlas",
        "Ohio",
        "Kansas",
        "North Carolina",
        "Washington",
        "Regulatory",
        "HUC",
        "Indiana",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "Oklahoma",
        "Texas",
        "Landscape Conservation Cooperatives",
        "8-digit HUCs",
        "Subregion",
        "Community",
        "Ecosystem",
        "Delaware",
        "Iowa",
        "Ecosystem Services",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "United States",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Colorado",
        "Boundaries",
        "Nevada",
        "Rhode Island",
        "Minnesota",
        "4-digit HUCs",
        "Climate",
        "Maine",
        "Environment",
        "Subwatershed",
        "Maryland",
        "Water",
        "Louisiana",
        "Arizona",
        "Subbasin",
        "Mexico",
        "West Virginia",
        "Pennsylvania",
        "Agriculture",
        "California",
        "Virginia"
      ],
      "modified": "2017-02-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e69d8d1f-6f58-498b-a18a-eb544c571537}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of Forest Trends' Ecosystem Marketplace would be app"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.859953 24.51224, -66.885441 24.51224, -66.885441 49.384487, -124.859953 49.384487, -124.859953 24.51224))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-02-02",
          "endDate": "2015-02-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-02-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/Other",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - NHDPlus V2 WBD Snapshot, EnviroAtlas version - Conterminous United States",
      "description": "This EnviroAtlas dataset is a digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the conterminous United States, based on the January 6, 2015 NHDPlus V2 WBD (Watershed Boundary Dataset) Snapshot (NHDPlusV21_NationalData_WBDSnapshot_FileGDB_05). The feature class has been edited for use in for EPA ORD's EnviroAtlas. Features in Canada and Mexico have been removed, the boundaries of three 12-digit HUCs have been edited to eliminate gaps and overlaps, the dataset has been dissolved on HUC_12 to create multipart polygons, and information on the percent land area has been added. Hawaii, Puerto Rico, and the U.S. Virgin Islands have been removed, and can be downloaded separately. Other than these modifications, the dataset is the same as the WBD Snapshot included in NHDPlus V2. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Boundaries",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-02-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BA1041E9-02B6-40ED-8DB0-B1EEF68B6CA7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-02-02",
          "endDate": "2015-02-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-02-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - National Inventory of Dams by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset is a summary of the National Dams Inventory data from 2009 survey. The file contains counts of inventoried dams by 12-digit hydrologic units codes (March 2011) and total maximum storage capacity in millions of gallons. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Drinking Water",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{86B29750-880D-4A58-91F2-2054FEA2E553}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-07-31",
          "endDate": "2012-07-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Non-Native Freshwater Aquatic Biodiversity by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset describes the non-native freshwater aquatic diversity by 12-digit HUC (subwatershed) for the conterminous United States. It includes animals and plants. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ee50a529-93f1-417e-bbb8-7e4ff22cc0dd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Near Road Tree Buffer Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Ohio",
        "Green Bay, WI",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Air",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dcd2efb8-818b-4318-a80d-d8c0616f08d1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York City, NY - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 6,378 block groups in New York City, New York. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{179EADB0-3D2F-4EE2-9781-1D4E46868B9E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the New York, NY EnviroAtlas community. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "New York, NY",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{942A7ADA-A95E-415D-A4F7-D3C9AA7C2413}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "New York, NY",
        "Society",
        "New York",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2015-11-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8BCC6170-4A08-406C-8D48-CA3590799D95}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-03",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the New York, NY EnviroAtlas Community. It represents the outside edge of all the block groups included in the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "New York, NY",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6511C082-5F8D-4210-B5DE-FDF45C0A09EC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is defined as Trees & Forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "New York",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "enviroatlas-new-york-ny-tree-cover-configuration-and-connectivity",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-12-04",
          "endDate": "2015-12-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NYNY_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). The New York City Department of Environmental Protection (NYCDEP) manages the city's water supply. Water use within the EnviroAtlas-defined study area was estimated at 125.8 GPD for 2009. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FE581208-427C-4B6C-A6CD-60AD8BCEF62F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest and Grass & Herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4DF48560-B867-4430-99B4-D6075C553248}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York",
        "Communities",
        "geospatial",
        "Flood",
        "New York, NY",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7aab6b8b-c807-488a-8cb5-5f21d4893357}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E1342BE9-4994-4898-9B88-0E6838D3F20E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "New York",
        "New York, NY",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{12980773-8872-4FF8-85BF-68983EC915AF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{398782A7-F722-4B5F-AE06-D2C413562B10}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-02-03",
          "endDate": "2016-02-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D70DE411-6B72-4806-9B40-04921B3EA230}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-62.619838 19.030151, -62.209104 19.030151, -62.209104 19.46898, -62.619838 19.46898, -62.619838 19.030151))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NYNY_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York City, NY - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 6,378 block groups in New York City, New York. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "New York, NY",
        "New York",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{66D59A4F-9117-42AB-8723-2B4C207E64AE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2008-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. In this community, forest is defined as Trees & Forest and green space is defined as Trees & Forest and Grass & Herbaceous. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "New York, NY",
        "New York",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5BAE6663-0916-448A-BABB-7A99485C8BEB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- New York, NY -- Meter-Scale Urban Land Cover (MULC) Data (2008)",
      "description": "The New York, NY EnviroAtlas Meter-scale Urban Land Cover (MULC) Data were generated by the University of Vermont Spatial Analysis Laboratory (SAL) under the direction of Jarlath O'Neil-Dunne as part of the United States Forest Service Urban Tree Canopy (UTC) assessment program. Seven classes were mapped using LiDAR and high resolution orthophotography: Tree Canopy, Grass/Shrub, Bare Soil, Water, Buildings, Roads/Railroads, and Other Paved Surfaces. These data were subsequently merged to fit with the EPA classification. The SAL project covered the five boroughs within the NYC city limits. However the EPA study area encompassed that area plus a 1 kilometer buffer. Additional land cover for the buffer area was generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m spatial resolution from July, 2011 and LiDAR from 2010. Six land cover classes were mapped: water, impervious surfaces, soil and barren land, trees, grass-herbaceous non-woody vegetation, and agriculture. An accuracy assessment of 600 completely random and 55 stratified random photo interpreted reference points yielded an overall User's fuzzy accuracy of 87 percent. The area mapped is the US Census Bureau's 2010 Urban Statistical Area for New York City plus a 1 km buffer. This dataset was produced by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy assessment program, and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "New York",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "New York, NY"
      ],
      "modified": "2016-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FDB995B6-5B64-422B-A59F-0C272A83216B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2008-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NYNY_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{01C8CA2C-D7E9-4160-B498-6F30D1F015EE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F4C398A8-D1DC-40ED-B53A-1FA79EEEFF23}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "Recreation",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8C097B4B-6883-45D7-BF40-56440C4B92DC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/EnviroAtlas/DataFactSheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "Recreation",
        "New York",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4860A2BF-B3EB-4199-A3F2-6DDB7E97F880}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E36A4F4F-C50F-4F7F-B35A-0D8CB51CF5CB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NYNY_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D8406925-C2A8-4E29-991F-0BA8FC2DB685}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/NYNY_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{10FA39C0-792E-4585-AF1E-B01D9A8F5BBA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest and Grass & Herbaceous. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EFA73792-E26A-4047-9457-B9A7E8CEE166}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, forest is defined as Trees & Forest. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AF1F2F8B-B6FE-40A8-9B11-2684F6AB9D98}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated cover is defined as Trees & Forest and Grass & Herbaceous. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E168D559-E416-46D0-857F-09CE07FE3740}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, forest is defined as Trees & Forest and vegetated cover is defined as Trees & Forest and Grass & Herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "New York, NY",
        "Ground Water",
        "New York",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{781EA0A4-51C4-492F-A04C-679C634371FC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. Forest is defined as Trees & Forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CEA4B57B-C073-4108-8BAC-707BE6B8898F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - New York, NY - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "New York, NY",
        "New York",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-02-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{516FC3B1-3569-49B7-A4CA-3A0B32D15211}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.25602 40.49599, -73.69687 40.49599, -73.69687 40.91307, -74.25602 40.91307, -74.25602 40.49599))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-03",
          "endDate": "2015-11-03"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-02-03",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//NYNY_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2002 Edge-of-Field Simulated Nitrogen, Phosphorus and Water Quantity Loss by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains annual (2002) simulated estimations of edge-of-field agricultural nitrogen (N) and phosphorus (P) lost in surface runoff, subsurface flow (tile and non-tile) and percolate, N and P attached to eroding soil (sediment loss) and associated surface, subsurface and vertical water flow and surface soil erosion. The dataset was generated using Weather Research Forecast (WRF) modeled weather, Community Multi-Scale Air Quality (CMAQ) model deposition and the Environmental Policy Integrated Climate (EPIC) model as implemented under the Fertilizer Emission Scenario Tool for CMAQ (FEST-C), all run for 12-km rectangular grids across the continental US. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "Drivers of Change - Ecosystem Services",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Biophysical",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Food",
        "Connecticut",
        "12-digit HUCs",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Quality",
        "Wisconsin",
        "Environmental Atlas",
        "Ground Water",
        "Management",
        "Arkansas",
        "Michigan",
        "Soils",
        "New Mexico",
        "Colorado",
        "New York",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-08-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f8b3f367-e43b-42e5-a4d0-6c8267c782f9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2002-01-01",
          "endDate": "2002-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-08-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ozone Concentration - Days with 8-hour average over 70 ppb in 2017 for the Conterminous United States",
      "description": "This dataset includes the number of days in 2017 that the maximum 8-hour average ozone concentration predicted by the Community Multiscale Air Quality modeling system (CMAQ) exceeds a threshold value of 70 ppb. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Ecosystem Services",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "E1E819B0-86E1-4D99-B27B-F974805658C7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.4049 22.607417, -64.237763 22.607417, -64.237763 51.93219, -128.4049 51.93219, -128.4049 22.607417))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-12-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Ozone Concentration - Days with 8-hour average over 80 ppb in 2017 for the Conterminous United States",
      "description": "This dataset includes the number of days in 2017 that the maximum 8-hour average ozone concentration predicted by the Community Multiscale Air Quality modeling system (CMAQ) exceeds a threshold value of 80 ppb. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Ecosystem Services",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "0AC1466B-4DCF-4179-93F7-A9DD724ACF10",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.4049 22.607417, -64.237763 22.607417, -64.237763 51.93219, -128.4049 51.93219, -128.4049 22.607417))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-12-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Public outdoor recreation areas availability and accessibility for the Conterminous United States",
      "description": "This EnviroAtlas map estimates the accessibility and availability of public outdoor recreational areas (e.g., urban parks, national forests) within 800m along walkable routes (approx. ½-mile or 10-minute walk). Accessibility refers to the walkable area surrounding an outdoor recreational area while availability refers to the amount of recreational area provided per person within the walkable area. The map covers the continental U.S. More information can be found in the journal article (https://doi.org/10.1016/j.landurbplan.2025.105445). \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Society",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Recreation",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
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      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
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        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-127.911109 22.715305, -65.32597 22.715305, -65.32597 51.612413, -127.911109 51.612413, -127.911109 22.715305))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-01-01",
          "endDate": "2022-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-06-27",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PADUS_AR_PAAA_10m_20250221.tif.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Outdoor_recreation_area_walking_distance/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Proximity to Parks Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. For specific information about methods used to develop data for each community, consult their individual metadata records: Austin, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B6D2657C3-52F8-4E41-BC35-00EE9DAADE4E%7D); Birmingham, AL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Be2f2445f-f7df-4b83-9004-eb4e1c45bed9%7D); Baltimore, MD (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B920a6fb4-812e-421d-a4fa-f6a328c1f3d3%7D); Brownsville, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bc31dcddc-6750-4504-9121-668f2c6d53d3%7D); Cleveland, OH (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0ced9d35-9f11-46ca-abf0-1e10ebae1331%7D); Des Moines, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7BDA7EB9-C5F8-4C15-90A4-A3CB285671D9%7D); Durham, NC (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B38956084-2AB2-422C-B56D-068C8CA6AAFE%7D); Fresno, CA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B5D957C70-5A37-48A6-B7D4-1E304710417F%7D); Green Bay, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8675EC55-2CCE-4B83-972A-A23CD6618B09%7D); Memphis, TN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BBBF52A70-DCCF-4DB6-ACDE-82A321A03F8C%7D); Minneapolis/St. Paul, MN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B6a46d7c8-a344-4d19-a111-0c96a2fda15f%7D); Milwaukee, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BE0EC8E26-0688-4EC5-8611-BF300054820E%7D); New Bedford, MA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B15DE4903-7C9D-4F61-9761-53D9904447C1%7D); New Haven, CT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9d0bac80-69fc-4649-9131-95f276da0ca0%7D); New York, NY (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4860A2BF-B3EB-4199-A3F2-6DDB7E97F880%7D); Phoenix, AZ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B42936F73-D645-4C86-820A-72A19FBB213A%7D); Pittsburgh, PA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA62B08BE-36D7-43EF-8C89-4EDC2EB5EF54%7D); Portland, ME (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF3BA2EEB-784B-45C2-B8BD-DC2C2CEE2479%7D); Paterson, NJ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B90E93159-7A1E-4BAB-95FC-8B04A15070E3%7D); Portland, OR (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4671F2A5-B691-47F9-9A1D-C11AA0F952D0%7D); Salt Lake City, UT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4671F2A5-B691-47F9-9A1D-C11AA0F952D0%7D);Tampa, FL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BC17799CA-F743-4CE6-BC71-3D4C82E5F2BC%7D); and Woodbine, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B667D6539-13C6-45A2-BD5B-80108BAA5213%7D). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Memphis, TN",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Tampa, FL",
        "Milwaukee, WI",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Arizona",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "New York",
        "New Bedford, MA",
        "Communities",
        "Texas",
        "Cleveland, OH",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Durham, NC",
        "New York, NY",
        "California",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8e728fbb-dc7b-46b1-aa49-7861032f8f03}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 2,434 block groups in Phoenix, AZ. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AB868E6F-1D81-4FEA-AE8E-32FB7C2C18E3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Phoenix, AZ EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2013-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C1E5F645-BE7B-4703-9404-2EED95E999D0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-06",
          "endDate": "2013-11-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-11-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
        "Phoenix, AZ"
      ],
      "modified": "2013-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AA13D671-AEEE-4B01-BBC5-5A7B6D64B1A9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-11-13",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Phoenix, AZ Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2013-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FBCC48BF-FB8E-4664-988A-6A0AD57F218D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-08",
          "endDate": "2013-11-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Arizona",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2017-05-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CAD428A6-C9B6-4C86-AAF4-95A79B1FF3F9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PAZ_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Within the EnviroAtlas Phoenix boundary, there are 53 service providers with 2000-2009 water use estimates ranging from 108 to 366 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Arizona",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Phoenix, AZ",
        "Water"
      ],
      "modified": "2016-08-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{822B887E-004D-4E45-9085-C437D79E2B4F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-08-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2014-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{38BD796B-A478-4622-9CE1-E7B54A8B710F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-11",
          "endDate": "2014-06-11"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Phoenix, AZ",
        "Water",
        "Arizona",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ade906bd-0bb7-436e-9d7a-6475c0279545}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.454517 33.20325, -111.476631 33.20325, -111.476631 33.812514, -112.454517 33.812514, -112.454517 33.20325))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, and Agriculture. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{FE7A4116-FE4B-4912-BE50-39D2F47C3FD4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2014-09-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4DCE07DB-79C0-4307-A92D-86E86701DBF2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-09-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{85A299D5-4D55-495E-9DEB-2D3793DC584E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-26",
          "endDate": "2015-03-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AFC1F0E1-EC52-41E4-8682-8885BED5A9B7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19513, -111.58459 33.19513, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19513))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PAZ_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Ecosystem Services by Block Group",
      "description": "This dataset presents environmental benefits of the urban forest in 2,434 block groups in Phoenix, Arizona. Carbon attributes, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. Temperature reduction values for Phoenix will be added when they become available. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Arizona",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Phoenix, AZ",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8A0904B6-E3D6-4B77-8E42-5D2067C0B7F9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, agriculture, and green space. Forest is combination of trees and forest. Green space is a combination of trees and forest, grass and herbaceous, and agriculture. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "Phoenix, AZ"
      ],
      "modified": "2014-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8A1C721F-3043-4E4B-BC66-C5DB496592A5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-13",
          "endDate": "2014-05-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Phoenix, AZ -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The EnviroAtlas Phoenix, AZ Meter-Scale Urban Land Cover (MULC) data and map were generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near-infrared) aerial photography taken from June through September, 2010 at 1 m spatial resolution. Seven land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, shrubs, grass and herbaceous non-woody vegetation, and agriculture. An accuracy assessment using a completely random sampling of 598 land cover reference points yielded an overall user's accuracy (MAX) of 69.2% and an overall fuzzy user's accuracy of 75.4%. The area mapped includes the entirety of the Central Arizona-Phoenix Long-Term Ecological Research (CAP-LTER) area, which was classified by the Environmental Remote Sensing and Geoinformatics Lab (ERSG) at Arizona State University. The land cover dataset also includes an area of approximately 625 square kilometers which is located north of Phoenix. This section was classified by the EPA land cover classification team. This dataset was produced by the Environmental Remote Sensing and Geoinformatics Lab (ERSG) at Arizona State University and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Phoenix, AZ",
        "Water",
        "Arizona",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D556044C-FCCC-4E8B-B157-5E7B8587AEE7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.828955 33.148357, -111.50398 33.148357, -111.50398 34.057945, -112.828955 34.057945, -112.828955 33.148357))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-06-01",
          "endDate": "2010-09-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PAZ_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D61133BB-ED25-4AE6-BA2E-176C5E51E37B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5B1AF46D-4FB7-46EE-A99E-B859BC867B29}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7CC51B15-3A7C-4E14-9E6E-5CBC0508ADA9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.454517 33.20325, -111.476631 33.20325, -111.476631 33.812514, -112.454517 33.812514, -112.454517 33.20325))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Phoenix, AZ"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{42936F73-D645-4C86-820A-72A19FBB213A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1540AAB6-3F17-4EFF-8CA6-0EF46D054C10}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PAZ_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Phoenix, AZ"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6A2FE776-5822-4137-BCB9-02D54F772C72}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PAZ_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Phoenix, AZ",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2A001B49-9A58-437D-952C-9F83E49DA557}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-15",
          "endDate": "2013-11-15"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2013-11-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Phoenix, AZ",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D0023539-F076-4A89-8B2B-758758D276E6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-14",
          "endDate": "2013-11-14"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2013-11-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Phoenix, AZ",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BA04F125-A93D-41CC-A904-C609F2557F24}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-15",
          "endDate": "2013-11-15"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2013-11-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Arizona",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Phoenix, AZ",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{DB489B15-0C42-4835-9978-52704DB63170}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-13",
          "endDate": "2013-11-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2013-11-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Arizona",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Phoenix, AZ",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B07B93C9-4628-40C4-8113-84EB01691768}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-13",
          "endDate": "2014-05-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Arizona",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "Phoenix, AZ"
      ],
      "modified": "2014-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{BE9CAF31-2F21-4707-80A5-B3B94060C6E6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.68293 33.19514, -111.58459 33.19514, -111.58459 34.0523, -112.68293 34.0523, -112.68293 33.19514))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-12",
          "endDate": "2014-06-12"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Phoenix, AZ - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Arizona",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Phoenix, AZ",
        "Water"
      ],
      "modified": "2017-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6a042f2c-d992-4517-a6ac-c20835d37ed7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.69948 33.20517, -111.5789 33.20517, -111.5789 34.04193, -112.69948 34.04193, -112.69948 33.20517))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities"
      },
      "issued": "2017-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PAZ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Percent Tree Canopy Cover by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each 12-digit hydrologic unit code (HUC) in the conterminous United States (CONUS) that is classified as tree canopy using the National Land Cover Database 2016 (NLCD2016) U.S. Forest Service (USFS) Tree Canopy Cover dataset (CONUS). Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Hawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/PCanopy_HI.xml, Puerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/PCanopy_PRVI.xml. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-01-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{36d4a918-f83d-44c1-be38-280f8bf81689}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2020-01-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Percent Tree Canopy Cover by 12-digit HUC for Hawaii",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each 12-digit hydrologic unit code (HUC) in Hawaii that is classified as tree canopy using the National Land Cover Database 2016 (NLCD2016) USFS Tree Canopy Cover (Hawaii) dataset. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Hawaii",
        "12-digit HUCs",
        "Impact",
        "EnviroAtlas"
      ],
      "modified": "2020-06-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b8036927-5cd1-4ffd-b5ae-b44ba40718dd}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-160.250434 18.893384, -154.732119 18.893384, -154.732119 22.228151, -160.250434 22.228151, -160.250434 18.893384))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2020-06-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/HI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Percent Tree Canopy Cover by 12-digit HUC for Puerto Rico and the U.S. Virgin Islands",
      "description": "This EnviroAtlas dataset represents the percentage of land area within each 12-digit hydrologic unit code (HUC) in Puerto Rico and the US Virgin Islands that is classified as tree canopy using the National Land Cover Database 2016 (NLCD2016) USFS Tree Canopy Cover (Puerto Rico) dataset. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Virgin Islands",
        "United States",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "12-digit HUCs",
        "Impact",
        "EnviroAtlas",
        "Puerto Rico"
      ],
      "modified": "2020-06-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{26f38d8d-f17a-4758-a78f-084ab83d4c28}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.673736, -64.565191 17.673736, -64.565191 18.516091, -67.951455 18.516091, -67.951455 17.673736))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2020-06-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRVI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent of Each 12-Digit HUC in the Contiguous U.S. with Potentially Restorable Wetlands",
      "description": "This EnviroAtlas dataset shows the percent of each 12-digit Hydrologic Unit (HUC) subwatershed in the contiguous U.S. with potentially restorable wetlands. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Potentially restorable wetlands for this map are lands currently in agriculture that naturally accumulate water and historically had poor drainage and hydric soils. By restoring some of these wetlands, it is hoped that the benefits of wetlands would also be restored. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-03-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{80AFCF1D-0C2B-4E4A-B07A-B2B57E6772D5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2013-03-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Land Cover with Potentially Restorable Wetlands on Agricultural Land by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the percent land cover with potentially restorable wetlands on agricultural land for each 12-digit Hydrologic Unit (HUC) watershed in the contiguous U.S. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Wetland restoration could help restore these benefits. Potentially restorable wetlands, as developed for this map, are lands currently in agriculture that naturally accumulate water due to topography and have historically had poorly or very poorly draining soils. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-07-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{11801f1f-42f2-4dca-afc4-cbc08d3fb21f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_Sep2024_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Estimated Percent Green Space Along Walkable Roads Web Service",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Ohio",
        "Green Bay, WI",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Air",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3275e906-3d2b-422c-8747-9d53d288be56}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas Estimated Percent Tree Cover Along Walkable Roads Web Service",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "Trees",
        "EnviroAtlas",
        "Birmingham, AL",
        "Health",
        "Ohio",
        "Green Bay, WI",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Land Cover",
        "Wisconsin",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "New Bedford, MA",
        "New York",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Air",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-10-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{24d7a1db-6b9d-4174-98ae-26866f022bcf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-10-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Agriculture on Hydric Soil for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains data on Agricultural Land Coverage on Hydric Soils for each Watershed Boundary Dataset (WBD) 12-Digit Hydrologic Unit Code (HUC-12) of the conterminous United States. This is based on the October 2023 Natural Resources Conservation Service gridded Service Soil Survey Geographic Database and gridded National Soil Survey Geographic Databased (NRCS gSSURGO and gNATSGO), the 2021 National Land Cover Database (NLCD) and the 2020 Cropland Data Layer (CDL). \nThe hydric soils are determined based on whether hydric soils make up 80% or more of a mapunit's components. The raster was made binary, where the mapunit's with at least 80% hydric soil coverage were assigned a value of 1. This was then intersected with a 30-m raster that combines the NLCD and CDL resources, where the CDL provides more exact and detailed agricultural land coverage. This layer does not include the NLCD class Pasture/Hay as agricultural lands. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2024-12-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "167113DA-E941-4CB3-8E93-8FE2600C08DA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-12-31",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Potential Wetland on Cultivated Cropland Area by 12-digit HUC for the Conterminous United States",
      "description": "The Percentage Potential Wetland Area by HUC-12 on Cultivated Cropland (Pct_PWAC) layer shows areas where conditions may be suitable for wetland restoration or creation on cropland at a 10-m resolution. Since the 1600's, an estimated 53% of wetlands in the Conterminous United States have been lost, with many areas being converted for agricultural or urban use. The ecosystems services provided by wetlands are extremely valuable, providing flood attenuation, water filtration, nutrient sequestration, vital habitat, and many others. Wetland restoration or creation can help restore these benefits for the surrounding community. There are several government and community projects that can utilize these data to assist in site selection for wetland restoration projects. \nThis layer was created using the Random Forest (RF) machine learning algorithm in Google Earth Engine (GEE). The RF model utilized 17 data inputs to identify areas where attributes on the landscape are similar to the attributes found in existing wetlands. The input data for this layer fall into three categories: topographic variables, soils, and satellite imagery. \nTopographic - DEM's sourced from USGS 3D Elevation Program (10-m)\n-Elevation\n-Aspect\n-Slope\n-Compound Topographic Index (CTI)\n-Vertical Overland Flow Distance (VOFD)\n-Horizontal Overland Flow Distance (HOFD)\n-Pythagoras Overland Flow Distance (POFD)\n-Soils - Natural Resource Conservation Service's gNATSGO and gSSURGO products\n· Potential Wetland Soils (PWS)\n-European Space Agency's Sentinel-1 Synthetic Aperture Radar (10-m) \n\nUsing these variables, the Random Forest model was run for each 2 digit Hydrologic Unit Code (HUC) in Google Earth Engine. The model used wetlands from the National Wetland Inventory (NWI) to create training data, masking out deep water areas such as the centers of lakes and rivers, and excluding estuarine and marine wetlands. For each HUC an equal number of wetland and non-wetland training points proportional to the size of the HUC were generated, with 30% of those points being reserved for accuracy assessment. The model results were then summarized to calculate the areal coverage of PWA within each HUC-12 watershed in the United States. This dataset shows the percentage of each 12-digit HUC that is both potential wetland area and cropland.\n\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "020:121",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2024-07-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, Nation Atlas for Sustainability"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "identifier": "21BC802B-9777-4419-8473-F3CDF2BFE022",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-07-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Potential Wetland Area by 12-digit HUC for the Conterminous United States",
      "description": "The Percentage Potential Wetland Area by HUC-12 (Pct_PWA) layer shows areas where conditions may be suitable for wetland restoration or creation at a 10-m resolution. Since the 1600's, an estimated 53% of wetlands in the Conterminous United States have been lost, with many areas being converted for agricultural or urban use. The ecosystems services provided by wetlands are extremely valuable, providing flood attenuation, water filtration, nutrient sequestration, vital habitat, and many others. Wetland restoration or creation can help restore these benefits for the surrounding community. There are several government and community projects that can utilize these data to assist in site selection for wetland restoration projects. \nThis layer was created using the Random Forest (RF) machine learning algorithm in Google Earth Engine (GEE). The RF model utilized 17 data inputs to identify areas where attributes on the landscape are similar to the attributes found in existing wetlands. The input data for this layer fall into three categories: topographic variables, soils, and satellite imagery. \nTopographic - DEM's sourced from USGS 3D Elevation Program (10-m)\n-Elevation\n-Aspect\n-Slope\n-Compound Topographic Index (CTI)\n-Vertical Overland Flow Distance (VOFD)\n-Horizontal Overland Flow Distance (HOFD)\n-Pythagoras Overland Flow Distance (POFD)\n-Soils - Natural Resource Conservation Service's gNATSGO and gSSURGO products\n· Potential Wetland Soils (PWS)\n-European Space Agency's Sentinel-1 Synthetic Aperture Radar (10-m) \n\nUsing these variables, the Random Forest model was run for each 2 digit Hydrologic Unit Code (HUC) in Google Earth Engine. The model used wetlands from the National Wetland Inventory (NWI) to create training data, masking out deep water areas such as the centers of lakes and rivers, and excluding estuarine and marine wetlands. For each HUC an equal number of wetland an non-wetland training points proportional to the size of the HUC were generated, with 30% of those points being reserved for accuracy assessment. The model results were then summarized to calculate the areal coverage of PWA within each HUC-12 watershed in the United States.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "020:121",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2024-07-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, Nation Atlas for Sustainability"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "identifier": "396BB64F-7E84-4874-B9E0-426B4619A980",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-07-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Percent Urban Land Cover by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset estimates the percent urban land for each 12-digit hydrologic unit code (HUC) in the conterminous United States. For the purposes of this map, urban land cover includes a variety of development, such as open spaces, parks, golf courses, single family homes, multifamily housing units, retail, commercial, industrial sites, and associated infrastructure. Urban land cover is not confined to city limits. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "Drivers of Change - Ecosystem Services",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0068AF7C-DE6C-4510-806A-BC35F333FE24}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Probabilistic Estimates of the Distribution of Near-surface (within 1m) Permafrost in Alaska ",
      "description": "This dataset was created by USGS and is being hosted by US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). \n\nThe original raster dataset has additional categories to differentiate between permafrost probability areas and other land cover categories. In the USGS raster, values range from 0 to 105, with values above 100 representing the following: 101 = open water; 102 = perennial ice/snow; 103 = developed; 104 = barren, and; 105 = cultivated areas. These values has been modified by the EnviroAtlas team to change values above 100 to \"-1\" to produce a dataset with modeled likelihood values ranging from 0 to 100 only. \n\nAbstract: Pastick et al., 2015 : \"This medium resolution (i.e. 30-m pixels) spatial dataset provides an estimate of the occurrence of near-surface (within 1 m of the ground surface) permafrost in Alaska.  The dataset was developed using a decision-tree model that statistically and spatially extended late-season field observations (n ~ 17,000) using remotely sensed imagery, climatic data, and thematic maps of a wide range of surface and subsurface biophysical characteristics.  To circumvent the use of seasonal frost observations, only thaw-depth measurements taken during late-season months (late July to mid-September) or measurements designated to have no near-surface (within 1m) permafrost were used for model calibration and validation. Individual pixel values represent the probability of encountering near-surface permafrost (i.e. 0 to 100 %), as derived from a tree ensemble model, and pixel values greater than 100 correspond to masked land cover types (i.e. 101 = open water; 102 = perennial ice/snow; 103 = developed; 104 = barren, and; 105 = cultivated areas) as defined by the 2001 National Land Cover Database.  Decision tree models and resultant maps were tested using independent field observations and f-fold cross validations, which indicated that the map product has an overall accuracy of approximately 85 % when using a probability threshold of 50 % (i.e. less than 50 % = near-surface permafrost absent; greater than or equal to 50 % = near-surface permafrost present)\" \n\nPastick, N. J., Jorgenson, M. T., Wylie, B. K., Nield, S. J., Johnson, K. D., & Finley, A. O. (2015). Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions. Remote Sensing of Environment, 168, 301-315. https://doi.org/10.1016/j.rse.2015.07.019  ",
      "keyword": [
        "Ecosystem",
        "Contaminant",
        "Climate",
        "Environment",
        "Response",
        "Land",
        "Facilities",
        "Permits",
        "Spills",
        "Protected Lands",
        "Society",
        "EnviroAtlas",
        "Biology",
        "Indicator",
        "Conservation",
        "Exposure",
        "Ecosystem Services",
        "Risk",
        "Remediation",
        "Cleanup",
        "United States",
        "Water",
        "Imperiled",
        "Energy",
        "Sites",
        "Drinking Water",
        "Land Cover",
        "Toxics",
        "Environmental Atlas",
        "Ground Water",
        "Management",
        "Impact",
        "Soils",
        "Natural Resources",
        "Alaska",
        "geospatial",
        "Modeling",
        "Utilities",
        "Waste",
        "Habitat",
        "Surface Water",
        "Threatened",
        "Emergency",
        "Hazards",
        "020:072",
        "Transportation"
      ],
      "modified": "2015-10-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "EFB8C1C7-F41A-44DD-9673-87CADDE645EE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-173.579902 52.404332, -117.451576 52.404332, -117.451576 71.355013, -173.579902 71.355013, -173.579902 52.404332))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-05-28",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/Permafrost_AK.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/Permafrost_Probability_Near_the_Surface/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 3974 block groups in Philadelphia, PA. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Philadelphia City and County, PA, New Castle County, DE, Cecil County, MD, Camden County, NJ, Atlantic County, NJ, Gloucester County, NJ, Burlington County, NJ, Delaware County, PA, Bucks County, PA, Chester County, PA, and Montgomery County, PA. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Pennsylvania",
        "Trees",
        "Census Block Groups",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{63082fc2-f386-41c4-b431-1c629b08b868}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Philadelphia, PA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a3f58942-f73e-4854-86be-7c5b75da34d1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2018-07-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cfbbd51b-0de3-42a4-8e89-234aee549d29}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-20",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Philadelphia, PA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{43908204-43e6-46c9-b606-d0ff0733e91a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Habitat",
        "Pennsylvania",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2019-11-07",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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      },
      "identifier": "{c05ee584-f8a8-43d4-a6ff-bc7158deb657}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-07",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PhiPA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Domestic water demand was calculated and applied using the Pennsylvania Department of Environmental Protection (PADEP) PWS Service Areas layer, population served per provider, and average domestic water use per provider. Within the EnviroAtlas study area, there are 108 service providers with 2016 estimates ranging from 26 to 323 GPD. In the absence of finer scale data, USGS Water Use Report county-level estimates were used for the study area extending into Delaware (80 GPD), Maryland (71 GPD), and New Jersey (80 GPD). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Philadelphia, PA",
        "Water"
      ],
      "modified": "2019-02-12",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{f5720842-4fe0-41ba-b355-880586a2ccf3}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2bd2b55a-b357-44b3-9c5f-a28157744d88}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, https://msc.fema.gov/portal/advanceSearch). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Pennsylvania",
        "Philadelphia, PA",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2019-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ca55e46a-9a25-4316-b09a-49fcc7de0f37}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-08-27",
          "endDate": "2018-08-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{096a8b50-07be-4765-92f2-d3da4a9e2040}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2019-02-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{46076b5a-da12-4522-ad5b-2347714779f6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8fcc1784-a564-46df-8adb-4c2a9fc83d43}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-07-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ab73b737-0251-4f7c-b936-6bad0cda0109}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PhiPA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 3974 block groups in Philadelphia, PA. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Philadelphia, PA",
        "Water"
      ],
      "modified": "2018-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c96e1215-567c-4b46-bd0a-2c05eff355c1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2008-01-01",
          "endDate": "2008-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-11-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, Orchards, and Woody Wetlands. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture and Orchards. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-02-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a1f71e9b-e112-42b7-8890-1bfd8c75885d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Philadelphia, PA -- Meter-Scale Urban Land Cover Data (MULC) Data (2013)",
      "description": "The Philadelphia, PA Meter-Scale Urban Land Cover (MULC) dataset comprises 7184 km2 around the city of Philadelphia and surrounding land in parts of fourteen counties within four states (PA, DE, NJ, MD): New Castle County in Delaware and Cecil County Maryland; Bucks, Chester, Lancaster, Montgomery, Philadelphia, and Delaware Counties in Pennsylvania; and Burlington, Mercer, Camden, Gloucester, Salmen and Atlantic Counties in New Jersey. These MULC data and maps were derived from several sources from multiple years: leaf-off LiDAR; 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP); 1-ft pixel orthoimagery; additional leaf-on and leaf-off imagery as well as ancillary vector data (e.g., roads, building footprints.). Ten land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forested, Shrub, Grass/Herbaceous NonWoody Vegetation, Agriculture, Orchard, and Wetlands (Woody and Emergent). Wetlands were delineated using the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer. An analysis of 600 completely random and 251 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 78% and an overall fuzzy user's accuracy (RIGHT) of 86% (see confusion matrices below). This dataset was produced by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy (UTC) assessment program, and the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Delaware",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Maryland",
        "Water",
        "New Jersey",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Pennsylvania",
        "Surface Water",
        "Agriculture",
        "Philadelphia, PA"
      ],
      "modified": "2018-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c28bb96a-9a58-445b-a284-9ed2b9147704}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.089481 39.182267, -74.547769 39.182267, -74.547769 40.754351, -76.089481 40.754351, -76.089481 39.182267))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PhiPA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-07-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{625a28a9-3fa5-4009-9904-0a5969f3436f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Census Block Groups",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-07-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{49b48e48-d40b-4474-b47b-501ef35e89d0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2018-09-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4947cfa4-0614-49e2-b321-0fb3b8641e9f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Philadelphia, PA"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7a75b14a-0a19-4eec-b557-82a38c908c9b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-07-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d84e06cd-3b93-4c91-bc62-3c55d562315c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PhiPA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Philadelphia, PA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Philadelphia, PA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-07-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b65ca0bd-3ea6-417f-96b6-67a010e96e96}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.96899 39.49219, -74.68399 39.49219, -74.68399 40.44512, -75.96899 40.44512, -75.96899 39.49219))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-23",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/PhiPA_PctStTC_tif.zip",
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      ],
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    {
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      "title": "EnviroAtlas - Philadelphia, PA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest and Woody Wetlands, and vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Land Cover",
        "Environmental Atlas",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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    },
    {
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      "title": "EnviroAtlas - Philadelphia, PA - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Land Cover",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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    },
    {
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      "title": "EnviroAtlas - Philadelphia, PA - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      "accrualPeriodicity": "irregular",
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        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-07-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PhiPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Indicators of abiotic conditions for stream confluence catchments for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains information about physical characteristics, such as temperature, elevation, and precipitation, in the upstream catchments of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{59c6b038-2877-40de-adcf-e4126415c003}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Indicators of abiotic conditions for stream confluence watersheds for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains information about physical characteristics, such as temperature, elevation, and precipitation, in the upstream watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
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        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "accessLevel": "public",
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        "020:00"
      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
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      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,089 block groups in Pittsburgh, PA. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Pennsylvania",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5596A087-44F0-428F-8ECD-4B64A04A08F4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Pittsburgh, PA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2012-01-01",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9159FFCB-F1DC-43F2-A50E-DF350DE165F5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2013-11-05",
          "endDate": "2013-11-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
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      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2012-01-01",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9FF2E3B6-949C-4B1A-86C8-466A17A6CA7B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Pittsburgh, PA Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
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        "Pennsylvania",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
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      },
      "identifier": "{FF438EA9-EA03-4A2A-B6DA-6365D4F829E5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-10-24",
          "endDate": "2013-10-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Pennsylvania",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A6BB21AA-E4AA-4C14-B6F0-E37370E0DDBE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PitPA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Domestic water demand was calculated and applied using the Pennsylvania Department of Environmental Protection (PADEP) PWS Service Areas layer, population served per provider, and average water use per provider. Within the EnviroAtlas study area, there are 43 service providers with 2010-2013 estimates ranging from 34 to 102 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2014-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9FB6737D-A5BA-43D5-84A9-EB2B9E766974}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EBBF64AC-E34B-4F2F-9A1F-C10609ECF4C1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-04",
          "endDate": "2013-11-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Pennsylvania",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e19e1ec2-7730-4e4e-a4d9-dd286cabd7d6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{38F000B9-0ECB-41B6-94D2-4A29992A4088}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2014-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{23727E56-F4FD-4D81-BA01-68E61264B049}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{DB557F85-3D0C-4A0C-ACE1-07B1E307C73D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-25",
          "endDate": "2015-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{DA4B629D-3224-45AD-8C32-F27253634ED4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PitPA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,089 block groups in Pittsburgh, Pennsylvania. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E937396D-EF92-4382-8818-D6316D5A1D0B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A7A825CD-02E4-4527-BE07-40FA80495F98}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-01",
          "endDate": "2013-11-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Pittsburgh, PA -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The EnviroAtlas Pittsburgh, PA Meter-Scale Urban Land Cover (MULC) data was generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m spatial resolution. Imagery was collected on multiple dates in June 2010. Five land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, and grass and herbaceous non-woody vegetation. An accuracy assessment of 500 completely random and 81 stratified random points yielded an overall user's accuracy (MAX) of 86.57% and an overall fuzzy user's accuracy (RIGHT) of 89.33%. The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Pittsburgh, PA. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Pennsylvania",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2474DC34-035D-495B-99A7-70346BA9CAD5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-06-01",
          "endDate": "2010-06-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PitPA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{452510F7-4AAC-4E56-A982-6F5B757D5DA2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CCFA8480-ED62-4E2B-A357-18D3986151EC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{796332AC-95F3-4497-B299-99E7F9C5B17D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-02",
          "endDate": "2015-10-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Pittsburgh"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A62B08BE-36D7-43EF-8C89-4EDC2EB5EF54}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0C9150F5-A4E4-491E-87A0-319861DCE079}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2015-12-02",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PitPA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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      ],
      "modified": "2015-08-07",
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{9DFA46F0-5610-4BB0-AD19-0812DA87A736}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2015-08-07",
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PitPA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
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        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{9CF44800-A341-4256-98B0-A39AE5964047}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-08",
          "endDate": "2013-11-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2013-11-08",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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      },
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      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
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          "endDate": "2013-11-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "theme": [
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          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
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      },
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2013-11-08"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
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      ],
      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
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          "endDate": "2013-11-08"
        }
      ],
      "accrualPeriodicity": "irregular",
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{04FD87BB-E2A7-4D05-B817-C2121648C633}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-07",
          "endDate": "2013-11-07"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{03FA9849-3EA5-48A0-9C0A-B963FFAF027D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-11",
          "endDate": "2014-06-11"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Pittsburgh, PA - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Pennsylvania",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Pittsburgh, PA",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2013-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6F575B19-1785-483B-A36A-4E9BFD02A048}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-80.29781 40.24197, -79.68825 40.24197, -79.68825 40.67122, -80.29781 40.67122, -80.29781 40.24197))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PitPA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Particulate Matter Concentration (PM2.5) - Days over 35 micrograms per cubic meter in 2017 for the Conterminous United States",
      "description": "This raster GIS dataset includes the number of days in 2017 that the concentration of particulate matter with a diameter of 2.5 micrometers or smaller (PM2.5) predicted by the Community Multiscale Air Quality modeling system (CMAQ) exceeds a threshold value of 35 micrograms per cubic meter.  This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Ecosystem Services",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "DF8359EB-C8E6-4FC1-BD1E-767745C886DE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.4049 22.607417, -64.237763 22.607417, -64.237763 51.93219, -128.4049 51.93219, -128.4049 22.607417))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-12-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Particulate Matter Concentration (PM2.5) - Days over 65 micrograms per cubic meter in 2017 for the Conterminous United States",
      "description": "This raster GIS dataset includes the number of days in 2017 that the concentration of particulate matter with a diameter of 2.5 micrometers or smaller (PM2.5) predicted by the Community Multiscale Air Quality modeling system (CMAQ) exceeds a threshold value of 65 micrograms per cubic meter.  This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Ecosystem Services",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "C42BDB78-4974-41A6-A153-EC145B5E4264",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.4049 22.607417, -64.237763 22.607417, -64.237763 51.93219, -128.4049 51.93219, -128.4049 22.607417))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-01",
          "endDate": "2017-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-12-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 146 block groups in Portland, Maine. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Maine",
        "Environment",
        "Portland, ME",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{414CC99E-E301-404B-A693-19ABF424D135}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Portland, ME EnviroAtlas Area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2013-03-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{48DC351F-CBBC-4E7A-9B1F-F68047007A81}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-03-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2014-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{30D95C69-8473-4374-85A5-AD4292B7F011}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Portland, ME Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Maine",
        "Environment",
        "Portland, ME",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F07E5C3-EBC4-44C9-A672-B6A3F886BDF1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is trees & forest and woody wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Maine",
        "Environment",
        "Habitat",
        "Portland, ME",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8FF72C94-A9F3-4DD5-AE38-47DD43B085FF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PME_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community domestic water use was calculated using local domestic water use per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these provider-supplied estimates are also considered representative of local self-supplied water use. Specific to Portland, ME, the Portland Water District (PWD) is the main provider for the study area. Within the study area, PWD supports Portland, South Portland, Westbrook, Scarborough, and Cape Elizabeth. PWD estimates current residential water use to be ~52 GPD. The southern portion of the study area is supported by the Biddeford and Saco Water Company (BSWC). Within the study area, their service area includes Biddeford, Saco, Old Orchard Beach, and Pine Point. BSWC estimates current residential water usage to be ~50 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2016-08-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B57C01B0-F9E5-4607-BAFC-C5140920951F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-08-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary, as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{977E8DF8-A8F1-4EF2-BEA1-963A0078DB27}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Maine",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Portland, ME",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ed880428-f69d-4a89-b507-a1a761236c6e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4C8E0B20-D07D-4FFA-A832-0E27A84AD24A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-19",
          "endDate": "2015-03-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2014-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7380812D-6E33-4022-A3B8-6E2585339703}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{314C6AC1-B543-46AC-8B32-4F81398EE2D7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-25",
          "endDate": "2015-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Portland, ME",
        "Environment",
        "Maine",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1CAE7A89-3562-4706-AA12-1E6220006179}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PME_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 146 block groups in Portland, Maine. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F033504-FBE1-4CAE-A67A-762662B37130}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, wetland, and agriculture. Impervious is a combination of dark and light impervious. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7FA05742-C5DF-42D4-8FEC-132F672DAAC7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-04",
          "endDate": "2013-04-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Portland, ME -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The EnviroAtlas Portland, ME Meter-Scale Urban Land Cover (MULC) data was generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from Late Summer 2010 at 1 m spatial resolution. Eight land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, agriculture, and wetlands (woody and emergent). An accuracy assessment using a stratified random sampling of 600 samples yielded an overall user's accuracy of 87.5 percent using a minimum mapping unit of 9 pixels (3x3 pixel window). The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Portland. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Maine",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Portland, ME",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A7C3F637-67AB-4E6E-90C0-04A9EBD6A1C9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PME_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{88744738-743F-4AFC-8D84-16773E1F79E8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{84731071-3BA2-424F-86F8-DCF6E409B5C7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C1D39F9D-1506-4502-B0C4-CA2F3D0D467F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-05",
          "endDate": "2015-10-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F3BA2EEB-784B-45C2-B8BD-DC2C2CEE2479}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{790EE1C9-35E7-4954-A23F-ACB41A736E4C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PME_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8CE26C98-E877-4450-9CEF-F6861B342183}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PME_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{07C2370D-FA8D-49F3-B715-7885B6E68456}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-22",
          "endDate": "2013-03-22"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{549F17A9-318D-4008-8920-FF8E2DACE0D4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-22",
          "endDate": "2013-03-22"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{70F39630-7874-4B03-9DE8-91A1B52F2F9C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-27",
          "endDate": "2013-03-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{608D6B07-27DC-402A-85C7-7ED69E7113A7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-22",
          "endDate": "2013-03-22"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2014-08-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A0529E14-C8D9-4050-AD5A-61EC7016D4BE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-20",
          "endDate": "2013-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2014-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{28F4D4A1-41E8-44F0-ABB3-D52DDF4BBF7A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, ME - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Maine",
        "Environment",
        "Portland, ME",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2013-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1B3A2D2F-0FCA-4E88-A392-239B8FFA32F5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-70.493457 43.446672, -70.078404 43.446672, -70.078404 43.880517, -70.493457 43.880517, -70.493457 43.446672))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PME_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 107 block groups in Paterson, New Jersey. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5AB11AAA-5003-435D-821A-1DE97E7098A3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Paterson, NJ EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-02-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{42F2CC6F-4CB3-48F6-A2DB-BC711363AF5C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Paterson, NJ",
        "Human"
      ],
      "modified": "2015-02-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2EC6E503-FF89-4EEE-9F5A-A90F3A532908}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Paterson, NJ Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-02-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{68A74B58-E777-4329-87DB-F6C0F2DE228A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2015-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5D33A6D9-7B3F-41E9-9A3A-CA7A2A9C49B8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PNJ_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in the EnviroAtlas, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Water use in the EnviroAtlas-defined study area is estimated at 79 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Paterson, NJ",
        "Water"
      ],
      "modified": "2014-12-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{367BA33B-E578-46CC-A80A-DA15CD5D9512}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-12-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as green space. Green space is defined by EnviroAtlas for this community as the combination of trees and forest and grass and herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-02-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{83879E9F-EED6-4850-98C2-C6E9A921DAF7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Paterson, NJ",
        "Water",
        "New Jersey",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b90985b4-f9d0-4565-b5b7-bf0df58c8130}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{D3D3A390-9BCE-41F2-B69A-D24ECB969C0F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-02-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0B720B2E-435C-4BFD-B573-494CB625D54C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1EAA789B-1D37-48E5-944E-E07F6F360FDB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-27",
          "endDate": "2015-03-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E1E6BB36-9E9E-41B8-BF44-33D56CCAE145}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PNJ_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 107 block groups in Paterson, New Jersey. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{63EEA9A8-985E-4EFC-BE7C-B7785DB41BE0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is just trees and forest. Green space is a combination of trees and forest and grass and herbaceous. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources"
      ],
      "modified": "2015-02-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{EBD40B70-F07A-451A-8FCE-62CC0837E4EF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Paterson, New Jersey -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The Paterson, New Jersey EnviroAtlas Meter-Scale Urban Land Cover (MULC) data comprises approximately 66 km2 around the city of Paterson. The land cover data were generated from United States Department of Agriculture (USDA) National Agricultural Imagery Program (NAIP) four band (red, green, blue, and near infrared) aerial photography at 1 m pixel size. Imagery was collected in July 2010. Five land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, and grass and herbaceous non-woody vegetation. An accuracy assessment of 500 completely random and 64 stratified random reference points yielded an overall user's accuracy (MAX) of 86.9% and an overall fuzzy user's accuracy (RIGHT) of 92.5%. For more information on our accuracy assessment see the overview section. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Paterson, NJ",
        "Water",
        "New Jersey",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0C356577-EACE-442D-B723-317B518F1885}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.218601 40.879437, -74.116523 40.879437, -74.116523 40.95101, -74.218601 40.95101, -74.218601 40.879437))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PNJ_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{76268E88-EA40-4E9E-BB3D-D3AA39CD3F69}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6BB97D90-1B54-45F7-98A2-278921DE3F6F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B08A2C97-78BE-4FED-8576-A7816BF249DC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Paterson, NJ"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{90E93159-7A1E-4BAB-95FC-8B04A15070E3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{735F29B9-8559-4670-9C87-082310685D56}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PNJ_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Health"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5786F2F1-5005-4A23-A754-71A8E25AA081}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PNJ_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. EnviroAtlas defines tree buffer for this community as only trees and forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0C420C3C-D0CF-4FDF-A058-D58A9689C367}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. EnviroAtlas defines vegetated buffer for this community as trees and forest and grass and herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8BBC27BD-03CC-47ED-9AE7-463F7E236571}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. EnviroAtlas defines tree buffer for this community as only trees and forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E94B7C36-8E81-426F-8DE9-F7DD16455992}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. EnviroAtlas defines vegetated buffer for this community as trees and forest and grass and herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7853CBB6-F4E8-40C6-90EF-D1335ECAFEF3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. EnviroAtlas defines tree buffer for this community as only trees and forest while vegetative buffer is defined as trees and forest and grass and herbaceous. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1A27AAB0-9DFD-4D90-83CE-4024C3E2699B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Paterson, NJ",
        "Natural Resources"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B2255239-2522-40A9-A986-CA396D323415}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Paterson, NJ - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "New Jersey",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Paterson, NJ",
        "Water"
      ],
      "modified": "2015-02-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5C9CB13D-953B-484D-83D3-D3C82C213166}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.2065317 40.8890137, -74.1286112 40.8890137, -74.1286112 40.9414447, -74.2065317 40.9414447, -74.2065317 40.8890137))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-27",
          "endDate": "2015-01-27"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//PNJ_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Acres of crops that have no nearby pollinator habitat by 12-digit HUC for the Conterminous United States",
      "description": "This dataset is a summary of crop acres without nearby pollinator habitat. Pollination habitat here is defined as trees (fruit, nut, deciduous, and evergreen). Crops are only those that either benefit from or require pollinators in order to produce or improve crop production. The maximum distance a tree habitat could be from the crop pixel was 2.8 km. If the crop had no tree habitat within this distance (euclidean) then it was selected as needing habitat. The total areas of crops without nearby pollinator habitat was then summed by 12 digit HUCS. This metric is a measure of demand for pollinators in order to improve or produce crop yields. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F8858B62-0EA9-4F07-83C3-AAA0517D0925}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-08-06",
          "endDate": "2012-08-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Dasymetric Population by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset estimates population by 12-digit HUC. It is based on the EnviroAtlas dasymetric dataset, which intelligently reallocates 2010 population from census blocks to 30 meter pixels based on land cover and slope. The dasymetric data was aggregated by HUC_12 boundary to summarize population by watershed. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Demographics",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2018-01-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2419b680-9fec-4c8c-8516-302206d3be4c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-01-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1176 block groups in Portland, Oregon. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Portland, OR"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7BBA90FB-2E89-4F6B-B64D-8EAB861F274E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Portland, OR EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-02-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{472575BB-48E0-43A0-AD65-50C8C8705AB9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-23",
          "endDate": "2015-01-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
        "Portland, OR"
      ],
      "modified": "2015-02-13",
      "publisher": {
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      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{24158D84-8EE2-4887-B5E6-F3CAFFD76AAA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-13",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Portland, OR Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-02-13",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C4AB5A23-A37D-457A-98C6-ADFFBD2C96CC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-26",
          "endDate": "2015-01-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2015-02-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is trees & forest and woody wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Oregon",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-05-20",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1A8D398F-7E21-4717-BCAC-CC232F3CED33}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/POR_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in the EnviroAtlas, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Local provider Water Management and Conservation Plans in Oregon and USGS Water Use estimates in Washington were used. Within the Portland boundary, the 2007-2013 estimates ranged from 58 to 120 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Oregon",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Portland, OR",
        "Water"
      ],
      "modified": "2014-12-15",
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      },
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        "@type": "vcard:Contact",
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{93639EAF-1F54-4987-9A80-B8210B2775B3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-12-15",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2017-05-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{54D109DA-A773-45F2-8FF9-B56C7621CFC2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2017-05-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Oregon",
        "EnviroAtlas",
        "Health",
        "Portland, OR",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9a8cf13a-9124-4c34-8e79-6a6d6eb4e284}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Oregon",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-05-14",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7083C819-F149-4161-A287-BAD9445B3221}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-02-18",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{943B725E-7F22-48E3-81E7-4282842F23F7}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
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          "endDate": "2013-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2015-02-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Oregon",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Portland, OR"
      ],
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2015-03-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2014-08-07",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
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      ],
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      },
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      },
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      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.24333 45.28301, -122.28051 45.28301, -122.28051 45.80906, -123.24333 45.80906, -123.24333 45.28301))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-04-08",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/POR_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1176 block groups in Portland, Oregon. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Oregon",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Portland, OR",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{86E01454-7AE9-4FE9-BE50-24D7D9E4330C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, agriculture, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "Portland, OR"
      ],
      "modified": "2015-02-13",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E9847A2E-C8A7-4C9A-B1E2-7AE54DE39FAE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-26",
          "endDate": "2015-01-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-02-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Portland, OR -- Meter-Scale Urban Land Cover (MULC) Data (2012)",
      "description": "The EnviroAtlas Portland, OR Meter-Scale Urban Land Cover (MULC) dataset includes data for the Portland metropolitan area plus the city of Vancouver, Washington and various smaller towns and rural areas in Oregon and Washington. The total area classified was approximately 2160 square kilometers. The land cover data were generated from 1-m, four-band (red, green, blue, and near-infrared) aerial photography acquired from the United States Department of Agriculture's National Agriculture Imagery Program. Imagery for Oregon was collected in 2012, and imagery for Washington was collected in 2011. In addition, ancillary datasets were derived for the classification from two LiDAR datasets collected in 2007 and one LiDAR dataset collected in 2010. Eight land cover classes were mapped: water, impervious surfaces, soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, agriculture, and wetlands (both woody and emergent). An accuracy assessment using 600 completely random and 54 stratified random land cover reference points yielded an overall accuracy of 78.6%. Using a liberal interpretation with similar classes (e.g. soil / grass, soil / agriculture) the overall fuzzy accuracy is 91.4%. For more information on fuzzy accuracy assessment see the overview section. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Oregon",
        "Land",
        "EnviroAtlas",
        "Health",
        "Portland, OR",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Washington",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2014-10-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{65A8193B-0652-4748-AE8E-FD328CCC448D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.258539 45.271965, -122.274581 45.271965, -122.274581 45.820044, -123.258539 45.820044, -123.258539 45.271965))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-02-20",
          "endDate": "2014-02-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2014-10-28",
      "language": [
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/POR_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Oregon",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Portland, OR"
      ],
      "modified": "2015-05-19",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2335E822-190B-4445-88F5-5838D51784A2}",
      "accessLevel": "public",
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        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Portland, OR"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
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      },
      "contactPoint": {
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      },
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      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
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          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http:/www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Portland, OR"
      ],
      "modified": "2015-11-10",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8BA859A4-71E7-4F5B-94FD-0C5ED76B16F1}",
      "accessLevel": "public",
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        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-05",
          "endDate": "2015-10-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Oregon",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Portland, OR"
      ],
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      },
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2015-01-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
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        "geospatial",
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        "Oregon",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Portland, OR"
      ],
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      },
      "contactPoint": {
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      },
      "identifier": "{E714B107-77AA-4C8E-98F4-C14D77BC69C6}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/POR_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Portland, OR - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
        "Air",
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        "Oregon",
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        "Environmental Atlas",
        "Human Well-being",
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        "EnviroAtlas",
        "Health",
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      ],
      "modified": "2015-08-07",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1CFC7DBB-E245-4C83-84AE-81D950FEC51E}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.153681 45.258336, -122.294469 45.258336, -122.294469 45.802836, -123.153681 45.802836, -123.153681 45.258336))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
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          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "rights": [
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      ],
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      ],
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      ],
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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    },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
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      ],
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      ],
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    {
      "@type": "dcat:Dataset",
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
      "temporal": [
        {
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      ],
      "accrualPeriodicity": "irregular",
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      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//POR_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potentially Restorable Wetlands in the Conterminous United States",
      "description": "This EnviroAtlas dataset shows potentially restorable wetlands at 30 meter resolution. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Potentially restorable wetlands for this map are lands currently in agriculture that naturally accumulate water and historically had poor drainage and hydric soils. By restoring some of these wetlands, it is hoped that the benefits of wetlands would also be restored. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas/) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-01-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{42354C43-7805-4FEE-B178-033292558C65}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-01-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": " EnviroAtlas – Potential Wetland Area on Cultivated Cropland Area for the Conterminous United States",
      "description": "The Percentage Potential Wetland Area on Cultivated Cropland (PWAC) layer shows areas where conditions may be suitable for wetland restoration or creation at a 10-m resolution. Since the 1600's, an estimated 53% of wetlands in the Conterminous United States have been lost, with many areas being converted for agricultural or urban use. The ecosystems services provided by wetlands are extremely valuable, providing flood attenuation, water filtration, nutrient sequestration, vital habitat, and many others. Wetland restoration or creation can help restore these benefits for the surrounding community. There are several government and community projects that can utilize these data to assist in site selection for wetland restoration projects. \nThis layer was created using the Random Forest (RF) machine learning algorithm in Google Earth Engine (GEE). The RF model utilized 17 data inputs to identify areas where attributes on the landscape are similar to the attributes found in existing wetlands. The input data for this layer fall into three categories: topographic variables, soils, and satellite imagery. \nTopographic - DEM's sourced from USGS 3D Elevation Program (10-m)\n-Elevation\n-Aspect\n-Slope\n-Compound Topographic Index (CTI)\n-Vertical Overland Flow Distance (VOFD)\n-Horizontal Overland Flow Distance (HOFD)\n-Pythagoras Overland Flow Distance (POFD)\n-Soils - Natural Resource Conservation Service's gNATSGO and gSSURGO products\n· Potential Wetland Soils (PWS)\n-European Space Agency's Sentinel-1 Synthetic Aperture Radar (10-m) \n\nUsing these variables, the Random Forest model was run for each 2 digit Hydrologic Unit Code (HUC) in Google Earth Engine. The model used wetlands from the National Wetland Inventory (NWI) to create training data, masking out deep water areas such as the centers of lakes and rivers, and excluding estuarine and marine wetlands. For each HUC an equal number of wetland an non-wetland training points proportional to the size of the HUC were generated, with 30% of those points being reserved for accuracy assessment. The model results were then intersected with NLCD's land cover class Cultivated Cropland.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "020:121",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2024-07-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, Nation Atlas for Sustainability"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "identifier": "2E118324-5728-448F-9139-FDF0AA86CB9A",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007533 22.868498, -65.254614 22.868498, -65.254614 51.649737, -128.007533 51.649737, -128.007533 22.868498))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-07-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PotentialWetlandAreasOnCropland.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/PotentialWetlandAreasOnCropland/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": " EnviroAtlas – Potential Wetland Area for the Conterminous United States",
      "description": "The Potential Wetland Area (PWA) layer shows areas where conditions may be suitable for wetland habitat at a 10-m resolution. Since the 1600's, an estimated 53% of wetlands in the Conterminous United States have been lost, with many areas being converted for agricultural or urban use. The ecosystems services provided by wetlands are extremely valuable, providing flood attenuation, water filtration, nutrient sequestration, vital habitat, and many others. Wetland restoration or creation can help restore these benefits for the surrounding community. There are several government and community projects that can utilize these data to assist in site selection for wetland restoration projects. \nThis layer was created using the Random Forest (RF) machine learning algorithm in Google Earth Engine (GEE). The RF model utilized 17 data inputs to identify areas where attributes on the landscape are similar to the attributes found in existing wetlands. The input data for this layer fall into three categories: topographic variables, soils, and satellite imagery. \nTopographic - DEM's sourced from USGS 3D Elevation Program (10-m)\n-Elevation\n-Aspect\n-Slope\n-Compound Topographic Index (CTI)\n-Vertical Overland Flow Distance (VOFD)\n-Horizontal Overland Flow Distance (HOFD)\n-Pythagoras Overland Flow Distance (POFD)\n-Soils - Natural Resource Conservation Service's gNATSGO and gSSURGO products\n· Potential Wetland Soils (PWS)\n-European Space Agency's Sentinel-1 Synthetic Aperture Radar (10-m) \n\nUsing these variables, the Random Forest model was run for each 2 digit Hydrologic Unit Code (HUC) in Google Earth Engine. The model used wetlands from the National Wetland Inventory (NWI) to create training data, masking out deep water areas such as the centers of lakes and rivers, and excluding estuarine and marine wetlands. For each HUC an equal number of wetland and non-wetland training points proportional to the size of the HUC were generated, with 30% of those points being reserved for accuracy assessment. \n\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Land Cover",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "020:121",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2024-07-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, Nation Atlas for Sustainability"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Anne Neale",
        "hasEmail": "mailto:neale.anne@epa.gov"
      },
      "identifier": "4D1D7B9D-EEA4-47E2-9AE2-84BFBB6FF4FE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007364 22.868609, -65.254783 22.868609, -65.254783 51.649644, -128.007364 51.649644, -128.007364 22.868609))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2021-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-07-30",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/EnviroAtlas_Potential_Wetland_Areas_CONUS_2024.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Rasters/PWA_v2/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Alaska (1981–2010)",
      "description": "This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals_other/public/alaska/grids/) and has a spatial resolution of 30 arcsec (800 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/alaska/metadata/): \n\nAbstract:  \n\nMonthly 30-year \"normal\" dataset covering Alaska, averaged over the climatological period 1981–2010. Contains spatially gridded average annual precipitation and maximum temperature at 800m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset was heavily peer reviewed, and is available free-of-charge on the PRISM website. \n\nPurpose: \n\nDisplay and/or analysis requiring spatially distributed annual precipitation and temperature for the climatological period 1981–2010.  \n\nSupplementary Information:  \n\nThere are many methods of interpolating climate data from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and an underlying grid such as a digital elevation model (DEM) to generate gridded estimates of monthly or annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids were produced by averaging (temperatures) or summing (precipitation) the monthly grids. Climatological data were collected for several research and government networks through a data delivery from the Arctic Landscape Conservation Cooperative's Imiq Hydroclimate Database including: the University of Alaska Fairbanks' Water and Environmental Research Center (WERC) and International Arctic Research Center (IARC); Arctic Observation Network (AON); Circumarctic Lakes Observation Network (CALON); Arctic Long Term Ecological Research (LTER); Bureau of Ocean Energy Management (BOEM); RWIS (Roadway Weather Information System); Department of Interior’s Bureau of Land Management (BLM) and Geological Survey (USGS). Climate data were also collected and processed for the National Weather Service's (NWS) Cooperative Observer Program (COOP), Weather Bureau Army/Navy (WBAN), and surface hourly stations from the National Centers for Environmental Information (NCEI); Soil Climate Analysis Network (SCAN), Snow Telemetry (SNOTEL), and Snow Course stations from the Department of Agriculture's Natural Resources Conservation Service (NRCS); Remote Automatic Weather Stations (RAWS) from the Western Regional Climate Center (WRCC) and MesoWest; Community Collaborative Rain Hail and Snow network (CoCoRaHS); National Data Buoy Center (NDBC); and the Hydrometeorological Design Studies Center (HDSC). Additional surface hourly data and the NWS Daily Hydrometeorological Product were collected via the Unidata Internet Data Distribution project (IDD). Data from the Fairbanks and Juneau Weather Forecast Offices, Alaska Department of Transportation (AKDOT), and the Hydrometeorological Automated Data System (HADS) network were also obtained from MesoWest. Data for the Central Alaska Inventory and Monitoring Network (CAKN), Juneau Icefield Research Program (JIRP), McCall Glacier, and Chugach National Forest Avalanche Information Center (CNFAIC) were made available through, or with the assistance of, the National Park Service (NPS). Data for the Alaska-Canada border region were obtained from Environment Canada, the Pacific Climate Impacts Consortium (PCIC) and NCEI. \n",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Sustainability",
        "Ecosystem Services",
        "Risk",
        "Environmental Atlas",
        "Human Well-being",
        "Hazards",
        "020:072",
        "Impact",
        "United States",
        "EnviroAtlas",
        "Human",
        "Water"
      ],
      "modified": "2018-10-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "4AA48BB0-5A3A-4E45-A246-0F33D6330566",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 45.663945, 180.0 45.663945, 180.0 74.936568, -180.0 74.936568, -180.0 45.663945))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1981-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-09-29",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_AK_1981_2010.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_maximum_temperature_degF_AK_1981_2010.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_minimum_temperature_degF_AK_1981_2010.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_precipitation_inches_AK_1981_2010/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_minimum_temperature_degF_AK_1981_2010/ImageServer",
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        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_maximum_temperature_degF_AK_1981_2010/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for American Samoa (1971–2000) ",
      "description": "This annual data was accessed from the PRISM project website (https://https://prism.oregonstate.edu/normals_other/public/pacisl/grids/) and has a spatial resolution of 3 arcsec (80 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches. For this project, Tutuila and Manua island domains were merged into one spatial domain for American Samoa using the \"Mosaic to New Raster\" tool in ArcGIS Pro.\n\nThis dataset was processed by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets). \n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pacisl/metadata/): \n\nAbstract:  \n\nThis data set contains spatially gridded average monthly and annual precipitation and temperature for the climatological period 1971–2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of the PRISM Group, OSU.\n\nPurpose: \n\nDisplay and/or analyses requiring spatially distributed monthly or annual precipitation and temperature for the climatological period 1971–2000\n\nSupplementary Information:  \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data for a 30 yr climatological average (e.g. 1971- 2000 average) and an underlying grid such as a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids of temperature were produced by averaging the monthly grids, and summing for precipitation. Reports and papers on PRISM can be obtained from the PRISM Group website \n\nCompleteness Report: \n\nPoint estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, and 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS). All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP, SNOTEL and other data were subjected to further quality control checks by the PRISM Group.",
      "keyword": [
        "Ecosystem",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Sustainability",
        "Ecosystem Services",
        "American Samoa",
        "Risk",
        "Environmental Atlas",
        "Human Well-being",
        "Hazards",
        "020:072",
        "Impact",
        "United States",
        "EnviroAtlas",
        "Human",
        "Water"
      ],
      "modified": "2007-01-01",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "F5EEC0ED-E4AA-444F-A272-8D235C99766C",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-170.851819 -14.385004, -169.398286 -14.385004, -169.398286 -14.13733, -170.851819 -14.13733, -170.851819 -14.385004))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1971-01-01",
          "endDate": "2000-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-11-04",
      "distribution": [
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          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_AMSAM_1971_2000.zip",
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for the Contiguous US (1991–2020) ",
      "description": "This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals/) and has a spatial resolution of 30 arcsec (800 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original Metadata (https://prism.oregonstate.edu/normals/): \n\nAbstract: \n\nMonthly 30-year \"normal\" dataset covering the conterminous U.S., averaged over the climatological period 1991–2020. Contains spatially gridded average annual total precipitation and temperature at 4km grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset is available free-of-charge on the PRISM website.\n\nPurpose: \n\nDisplay and/or analysis requiring spatially distributed annual total precipitation and temperature for the climatological period 1991–2020.\n\nSupplementary Information: \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data and an underlying grid such as a digital elevation model (DEM) or a 30 yr climatological average to generate gridded estimates of monthly or annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids were produced by averaging (temperatures, dew point, vapor pressure deficit, and solar radiation) or summing (precipitation) the monthly grids. These gridded normals supersede the 1991–2020 normals produced in October 2021. Improvements over the previous version include more stable adjustments of short-period station data to represent the 1991–2020 period, and additional quality control measures.",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Risk",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Impact",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2022-12-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "97E06910-16EE-422E-927A-9AC3DBEB69C2",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-135.918214 19.922246, -55.490597 19.922246, -55.490597 52.998464, -135.918214 52.998464, -135.918214 19.922246))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1991-01-01",
          "endDate": "2020-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-09-29",
      "distribution": [
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          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_CONUS_1991_2020.zip",
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        },
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Guam and the Commonwealth of the Northern Mariana Islands (CNMI) (1971–2000) ",
      "description": "This annual data was accessed from the PRISM project website (https://prism.oregonstate.edu/normals_other/public/pacisl/grids/) and has a spatial resolution of 3 arcsec (80 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches. For this project, Guam and CNMI domains were merged into one spatial domain using the \"Mosaic to New Raster\" tool in ArcGIS Pro.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pacisl/metadata/): \n\nAbstract: \n\nThis data set contains spatially gridded average monthly and annual precipitation and temperature for the climatological period 1971–2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of the PRISM Group, OSU.\n\nPurpose: \n\nDisplay and/or analyses requiring spatially distributed monthly or annual precipitation and temperature for the climatological period 1971–2000\n\nSupplementary Information: \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data for a 30 yr climatological average (e.g. 1971- 2000 average) and an underlying grid such as a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids of temperature were produced by averaging the monthly grids, and summing for precipitation. Reports and papers on PRISM can be obtained from the PRISM Group website \n\nCompleteness Report:\n\nPoint estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, and 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS). All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP, SNOTEL and other data were subjected to further quality control checks by the PRISM Group.",
      "keyword": [
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        "Climate",
        "Environment",
        "EnviroAtlas",
        "Ecosystem Services",
        "Risk",
        "United States",
        "Water",
        "Sustainability",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "geospatial",
        "Modeling",
        "Guam",
        "Hazards",
        "020:072",
        "Human",
        "Commonwealth of the Northern Mariana Islands"
      ],
      "modified": "2007-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "E0888487-A28B-41E8-9EB0-7B6E468A3B7C",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((144.530969 13.163566, 145.884278 13.163566, 145.884278 15.349729, 144.530969 15.349729, 144.530969 13.163566))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1971-01-01",
          "endDate": "2000-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-09-29",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_GUCNMI_1971_2000.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - PRISM 30-Year Normal Annual Precipitation and Minimum and Maximum Temperature for Hawaii (1971–2000) ",
      "description": "This annual data was accessed from the PRISM project website (https://https://prism.oregonstate.edu/normals_other/public/pacisl/grids/) and has a spatial resolution of 15 arcsec (400 m). The three climatic variables included in the dataset are total precipitation (inches), maximum temperature (degrees Fahrenheit), and minimum temperature (degrees Fahrenheit). PRISM Climate Group at Oregon State University used climate observations from monitoring stations and interpolated to a gridded format using the PRISM model (Parameter-elevation Regressions on Independent Slopes Model). Interpolation was trained using a DEM (digital elevation model) to improve performance in mountainous regions.  \n\nThe PRISM temperature data were originally reported in °C but were converted to °F. The PRISM precipitation data were originally reported in millimeters but were converted to inches.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFrom Original PRISM Metadata (https://prism.oregonstate.edu/normals_other/public/pacisl/metadata/): \n\nAbstract:\n\nThis data set contains spatially gridded average monthly and annual precipitation and temperature for the climatological period 1971–2000. Distribution of the point measurements to a spatial grid was accomplished using the PRISM model, developed by Chris Daly of the PRISM Group, OSU.\n\nPurpose: \n\nDisplay and/or analyses requiring spatially distributed monthly or annual precipitation and temperature for the climatological period 1971–2000\n\nSupplementary Information: \n\nThere are many methods of interpolating climate from monitoring stations to grid points. Some provide estimates of acceptable accuracy in flat terrain, but few have been able to adequately explain the extreme, complex variations in climate that occur in mountainous regions. Significant progress in this area has been achieved through the development of PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM is an analytical model that uses point data for a 30 yr climatological average (e.g. 1971- 2000 average) and an underlying grid such as a digital elevation model (DEM) to generate gridded estimates of monthly and annual precipitation and temperature (as well as other climatic parameters). PRISM is well suited to regions with mountainous terrain, because it incorporates a conceptual framework that addresses the spatial scale and pattern of orographic processes. Grids were modeled on a monthly basis. Annual grids of temperature were produced by averaging the monthly grids, and summing for precipitation. Reports and papers on PRISM can be obtained from the PRISM Group website \n\nCompleteness Report: \n\nPoint estimates of precipitation and temperature originated from some or all of the following sources: 1) National Weather Service (NWS) Cooperative (COOP) stations, 2) Natural Resources Conservation Service (NRCS) SNOTEL, 3) United States Forest Service (USFS) and Bureau of Land Management (BLM) RAWS Stations, 4) Bureau of Reclemation (AGRIMET) stations, 5) California Data Exchange Center (CDEC) stations, 6) Storage guages, 7) NRCS Snowcourse stations, 8) Other State and local station networks, 9) Estimated station data, 10) Canadian stations, 11) Upper air stations, and 12) NWS/Federal Aviation Administration (FAA) Automated surface observation stations (ASOS). All COOP station data were subjected to quality control checks by the National Climatic Data Center (NCDC). All COOP, SNOTEL and other data were subjected to further quality control checks by the PRISM Group.",
      "keyword": [
        "Ecosystem",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Sustainability",
        "Ecosystem Services",
        "Risk",
        "Hawaii",
        "Environmental Atlas",
        "Hazards",
        "Human Well-being",
        "020:072",
        "Impact",
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        "EnviroAtlas",
        "Human",
        "Water"
      ],
      "modified": "2007-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "D7E45C8C-2062-41CB-B989-6D60ECAF8823",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-160.339817 18.854566, -154.727543 18.854566, -154.727543 22.272216, -160.339817 22.272216, -160.339817 18.854566))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1971-01-01",
          "endDate": "2000-12-31"
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      "issued": "2025-09-29",
      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_precipitation_inches_HI_1971_2000.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_maximum_temperature_degF_HI_1971_2000.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRISM_30yr_normals_minimum_temperature_degF_HI_1971_2000.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
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          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_precipitation_inches_HI_1971_2000/ImageServer",
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        },
        {
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          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_maximum_temperature_degF_HI_1971_2000/ImageServer",
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        },
        {
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          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/PRISM/PRISM_30yr_normals_minimum_temperature_degF_HI_1971_2000/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Protected Lands by 12-digit HUC for Alaska",
      "description": "This dataset shows the percentage of each Watershed Boundary Dataset (WBD) 12-digit Hydrologic Unit (HUC) that is included in the USGS National Gap Analysis Program (GAP) or International Union for the Conservation of Nature (IUCN) protection categories in the Protected Areas Database of the United States (PADUS). Percentages for GAP status 1 and 2 combined, GAP status 3, and GAP status 1, 2, and 3 combined are provided. The percentages for IUCN categories Ia, Ib, II, III, IV, V, and VI are provided, as well as for all the categories combined. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "United States",
        "Indicator",
        "Management",
        "geospatial",
        "Conservation",
        "Environment",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Protected Lands",
        "Environmental Atlas",
        "12-digit HUCs",
        "Impact",
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      "modified": "2021-07-30",
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      },
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.229655487448 51.1568278424693, 179.856674735386 51.1568278424693, 179.856674735386 71.4395725901531, -179.229655487448 71.4395725901531, -179.229655487448 51.1568278424693))"
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      ],
      "temporal": [
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          "endDate": "2020-01-01"
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      ],
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      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/AK_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Protected Lands by 12-digit HUC for the Conterminous United States",
      "description": "This dataset shows the percentage of each National Hydrography Dataset Plus (NHDPlus) V2 12-digit Hydrologic Unit (HUC) that is included in the USGS National Gap Analysis Program (GAP) or International Union for the Conservation of Nature (IUCN) protection categories in the Protected Areas Database of the United States (PADUS). Percentages for GAP status 1 and 2 combined, GAP status 3, and GAP status 1, 2, and 3 combined are provided. The percentages for IUCN categories Ia, Ib, II, III, IV, V, and VI are provided, as well as for all the categories combined. Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Alaska https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Protection_AK.xml, Hawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Protection_HI.xml, Puerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/Protection_PRVI.xml This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Delaware",
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        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Protected Lands",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
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        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Michigan",
        "New York",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-10",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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      ],
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        }
      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Protected Lands by 12-digit HUC for Hawaii",
      "description": "This dataset shows the percentage of each National Hydrography Dataset Plus (NHDPlus) V2 12-digit Hydrologic Unit (HUC) that is included in the USGS National Gap Analysis Program (GAP) or International Union for the Conservation of Nature (IUCN) protection categories in the Protected Areas Database of the United States (PADUS). Percentages for GAP status 1 and 2 combined, GAP status 3, and GAP status 1, 2, and 3 combined are provided. The percentages for IUCN categories Ia, Ib, II, III, IV, V, and VI are provided, as well as for all the categories combined. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/HI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Protected Lands by 12-digit HUC for Puerto Rico and the US Virgin Islands",
      "description": "This dataset shows the percentage of each National Hydrography Dataset Plus (NHDPlus) V2 12-digit Hydrologic Unit (HUC) that is included in the USGS National Gap Analysis Program (GAP) or International Union for the Conservation of Nature (IUCN) protection categories in the Protected Areas Database of the United States (PADUS). Percentages for GAP status 1 and 2 combined, GAP status 3, and GAP status 1, 2, and 3 combined are provided. The percentages for IUCN categories Ia, Ib, II, III, IV, V, and VI are provided, as well as for all the categories combined. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "United States",
        "Virgin Islands",
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        "Management",
        "geospatial",
        "Conservation",
        "Environment",
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        "Ecology",
        "Land Cover",
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      ],
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.673736, -64.565191 17.673736, -64.565191 18.516091, -67.951455 18.516091, -67.951455 17.673736))"
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      "theme": [
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      "distribution": [
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRVI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potentially Restorable Wetlands on Agricultural Land - Contiguous United States",
      "description": "The EnviroAtlas Potentially Restorable Wetlands on Agricultural Land (PRW-Ag) dataset shows potentially restorable wetlands at 30-meter resolution. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Wetland restoration could help restore these benefits. Potentially restorable wetlands, as developed for this map, are lands currently in agriculture that naturally accumulate water due to topography and have historically had poorly or very poorly draining soils. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
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      },
      "identifier": "{669E59E0-F583-4D98-A0D6-6C68E2E97C76}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
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      "distribution": [
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          "downloadURL": "https://enviroatlas.epa.gov/download/PRWAg.zip",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - NHDPlus V2 WBD Snapshot, EnviroAtlas version - Puerto Rico",
      "description": "This EnviroAtlas dataset is a digital hydrologic unit (HUC) boundary layer to the Subwatershed (12-digit) 6th level for Puerto Rico, based on the May 2016 NHDPlus V2.1 WBD (Watershed Boundary Dataset) Snapshot for Puerto Rico &amp; U.S. Virgin Islands. Information on the percent land area has been added, and HUCs for Puerto Rico and the Virgin Islands have been split into two separate files. The location of one HUC (a small island) has been adjusted to align with aerial imagery and GAP (Gap Analysis Program) land cover data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Boundaries",
        "Environment",
        "EnviroAtlas",
        "Ecosystem Services",
        "environment",
        "Environmental Atlas",
        "12-digit HUCs",
        "United States",
        "Puerto Rico",
        "Downloadable Data"
      ],
      "modified": "2017-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "BABBE370-B6D0-4962-AAE8-52180A5E7650",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.926837, -65.221033 17.926837, -65.221033 18.516091, -67.951455 18.516091, -67.951455 17.926837))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2017-08-04",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "TEST_OLDWAY_EnviroAtlas - NHDPlus V2 WBD Snapshot, EnviroAtlas version - Puerto Rico",
      "description": "This EnviroAtlas dataset is a digital hydrologic unit (HUC) boundary layer to the Subwatershed (12-digit) 6th level for Puerto Rico, based on the May 2016 NHDPlus V2.1 WBD (Watershed Boundary Dataset) Snapshot for Puerto Rico &amp; U.S. Virgin Islands. Information on the percent land area has been added, and HUCs for Puerto Rico and the Virgin Islands have been split into two separate files. The location of one HUC (a small island) has been adjusted to align with aerial imagery and GAP (Gap Analysis Program) land cover data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "12-digit HUCs",
        "EnviroAtlas",
        "Puerto Rico"
      ],
      "modified": "2017-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "test-oldway-enviroatlas-nhdplus-v2-wbd-snapshot-enviroatlas-version-puerto-rico",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.926837, -65.221033 17.926837, -65.221033 18.516091, -67.951455 18.516091, -67.951455 17.926837))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Potential Wetland Areas - Contiguous United States",
      "description": "The EnviroAtlas Potential Wetland Areas (PWA) dataset shows potential wetland areas at 30-meter resolution. Beginning two centuries ago, many wetlands were turned into farm fields or urban areas, yet wetlands play an important role in removing water pollution, regulating water storage and flows, and providing habitat for wildlife. Wetland restoration could help restore these benefits. Potential wetland areas, as developed for this map, are lands that naturally accumulate water due to topography and have historically had poorly or very poorly draining soils. This dataset was produced by the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Potential for Change - Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CB15C7D0-6A2A-49A0-A32B-A2886BFC8A76}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PWA.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Rare Ecosystems in the Conterminous United States",
      "description": "This EnviroAtlas dataset identifies rare ecosystems using base landcover data from the USGS GAP Analysis Program (Version 2, 2011) combined with landscape ecology principles. This raster dataset represents an index of rarity ranging from 0 (common) to 100 (rare). EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Protected Lands",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Quality",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Management",
        "Arkansas",
        "Michigan",
        "New Mexico",
        "New York",
        "Natural Resources",
        "Biodiversity",
        "Colorado",
        "Mississippi",
        "Oklahoma",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-11-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{53D0C152-12F3-4B1A-83A8-F0D7D98F3A8D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-02-06",
          "endDate": "2013-02-06"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2013-11-15",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/Rare_Ecosystems.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas 15m Riparian Buffer Forest Cover Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Water",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Pittsburgh, PA",
        "Ground Water",
        "New York",
        "New Bedford, MA",
        "Impact",
        "Riparian",
        "Natural Resources",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6dc0d68a-14a4-473e-a5a4-10e59718fe5e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas 15m Riparian Buffer Vegetated Cover Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Water",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Pittsburgh, PA",
        "Ground Water",
        "New York",
        "New Bedford, MA",
        "Impact",
        "Riparian",
        "Natural Resources",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ecab9b46-22d6-4ad7-a691-734530e55af1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas 51m Riparian Buffer Forest Cover Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Water",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Pittsburgh, PA",
        "Ground Water",
        "New York",
        "New Bedford, MA",
        "Impact",
        "Riparian",
        "Natural Resources",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c8bb3a11-178b-476c-a219-ed09e679878a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas 51m Riparian Buffer Vegetated Cover Web Service",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "San Diego, CA",
        "Des Moines, IA",
        "Maine",
        "Environment",
        "Virginia",
        "Memphis, TN",
        "Virginia Beach/Williamsburg, VA",
        "Oregon",
        "Fresno, CA",
        "Iowa",
        "EnviroAtlas",
        "Birmingham, AL",
        "Green Bay, WI",
        "Ohio",
        "Portland, OR",
        "Tennessee",
        "Los Angeles, CA",
        "Ecosystem Services",
        "North Carolina",
        "Austin, TX",
        "Missouri",
        "Baltimore, MD",
        "Salt Lake City, UT",
        "Milwaukee, WI",
        "Illinois",
        "Washington",
        "Connecticut",
        "Brownsville, TX",
        "Tampa, FL",
        "Maryland",
        "Paterson, NJ",
        "Phoenix, AZ",
        "Water",
        "Florida",
        "Woodbine, IA",
        "New Jersey",
        "Sonoma County, CA",
        "New Haven, CT",
        "Alabama",
        "Arizona",
        "Drinking Water",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Pittsburgh, PA",
        "Ground Water",
        "New York",
        "New Bedford, MA",
        "Impact",
        "Riparian",
        "Natural Resources",
        "St. Louis, MO",
        "Communities",
        "Texas",
        "Chicago, IL",
        "Cleveland, OH",
        "Washington, DC",
        "geospatial",
        "Portland, ME",
        "Pennsylvania",
        "Surface Water",
        "Minneapolis/St. Paul, MN",
        "Tacoma, WA",
        "Durham, NC",
        "New York, NY",
        "California",
        "Utah",
        "Massachusetts",
        "Philadelphia, PA",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-12-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{81d24a53-39a3-40fc-9b1c-7c185df3477e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-12-12",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/enviroatlas/forms/enviroatlas-data-download",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "TIGER 2010 Boundaries",
      "description": "This EnviroAtlas web service supports research and online mapping activities related to EnviroAtlas (https://www.epa.gov/enviroatlas). This web service includes the State, County, and Census Block Groups boundaries from the TIGER shapefiles compiled into a single national coverage for each layer. The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).",
      "keyword": [
        "Washington DC",
        "Virginia",
        "Oregon",
        "Canada",
        "South Dakota",
        "Montana",
        "Tennessee",
        "Kentucky",
        "Hawaii",
        "Florida",
        "Ecology",
        "Environmental Atlas",
        "Congressional District",
        "New York",
        "Vermont",
        "Mississippi",
        "Railroads",
        "geospatial",
        "Streets",
        "Micropolitan Areas",
        "County",
        "Idaho",
        "Tract",
        "Georgia",
        "Massachusetts",
        "South Carolina",
        "Block Group",
        "Land",
        "North Dakota",
        "EnviroAtlas",
        "Health",
        "Ohio",
        "Kansas",
        "State or equivalent entity",
        "North Carolina",
        "Zip Code Tabulation Areas",
        "Washington",
        "Indiana",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "Oklahoma",
        "Texas",
        "Alaska",
        "Virgin Islands",
        "Puerto Rico",
        "Ecosystem",
        "Delaware",
        "Iowa",
        "School Districts",
        "Block",
        "Ecosystem Services",
        "Landmark Points",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "United States",
        "Metropolitan Areas",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Impact",
        "Colorado",
        "Nevada",
        "Rhode Island",
        "Highway",
        "Minnesota",
        "Maine",
        "Environment",
        "Place",
        "Military Areas",
        "Maryland",
        "Louisiana",
        "Census Block",
        "Arizona",
        "Mexico",
        "Polygon",
        "West Virginia",
        "Pennsylvania",
        "California",
        "Utah",
        "Tribal Areas",
        "Civil Divisions"
      ],
      "modified": "2011-11-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory (NERL), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{aa15c5fc-27aa-4416-8449-2a019aa87554}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be gi"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.231086 18.86546, 179.859681 18.86546, 179.859681 71.441059, -179.231086 71.441059, -179.231086 18.86546))"
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      ],
      "temporal": [
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          "startDate": "2010-01-01",
          "endDate": "2010-07-01"
        }
      ],
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2011-11-14",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2010.html",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Reptile Biodiversity Ecosystem Services Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for reptile species, based on the number of reptile species as measured by predicted habitat present within a pixel. These metrics were created from grouping national level single species habitat models created by the USGS Gap Analysis Program into smaller ecologically based, phylogeny based, or stakeholder suggested composites. The dataset includes reptile species richness metrics for all reptile species, lizards, snakes, turtles, poisonous reptiles, Natureserve-listed G1,G2, and G3 reptile species, and reptile species listed by IUCN (International Union for Conservation of Nature), PARC (Partners in Amphibian and Reptile Conservation) and SWPARC (Southwest Partners in Amphibian and Reptile Conservation). This dataset was produced by a joint effort of New Mexico State University, US EPA, and USGS to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
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        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Modeling",
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        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-18",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
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      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-05-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Reptile Biodiversity Ecosystem Services Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for reptile species, based on the number of reptile species as measured by predicted habitat present within a pixel. These metrics were created from grouping national level single species habitat models created by the USGS Gap Analysis Program into smaller ecologically based, phylogeny based, or stakeholder suggested composites. The dataset includes reptile species richness metrics for all reptile species, lizards, snakes, turtles, poisonous reptiles, Natureserve-listed G1,G2, and G3 reptile species, and reptile species listed by IUCN (International Union for Conservation of Nature), PARC (Partners in Amphibian and Reptile Conservation) and SWPARC (Southwest Partners in Amphibian and Reptile Conservation). This dataset was produced by a joint effort of New Mexico State University, US EPA, and USGS to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
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        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Modeling",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-05-18",
      "publisher": {
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      },
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "temporal": [
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          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2016-05-18",
      "language": [
        "en"
      ],
      "theme": [
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Residential vacancy rate by Census Tract for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the vacancy rate for residential addresses for each Census Tract for each year from 2010-2014. Vacant buildings are included if they remained vacant for more than one year. Data were compiled from the United States Postal Service (USPS) Vacant Address Data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2016-10-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1ea455e7-87fc-4ca8-8306-dcd3f01fbc69}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2010-01-01",
          "endDate": "2014-01-01"
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      ],
      "accrualPeriodicity": "irregular",
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Total number of vacant residences by Census Tract for the Conterminous United States",
      "description": "This EnviroAtlas dataset portrays the total number of vacant residential addresses for each Census Tract for each year from 2010-2014. Vacant buildings are included if they remained vacant for more than one year. Data were compiled from the United States Postal Service (USPS) Vacant Address Data. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Economy",
        "Wisconsin",
        "Environmental Atlas",
        "Human Well-being",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2016-10-19",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{1214d580-8b76-4bb9-a1ad-5374b0b17e9b}",
      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
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          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2016-10-19",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Riparian Tree Canopy Cover by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as tree canopy cover using the National Land Cover Database 2016 USFS Tree Canopy Cover dataset for each 12-digit hydrologic unit code (HUC) in the conterminous United States. Streams were derived from the National Hydrography Dataset (NHD) High Resolution dataset obtained June 2020. Datasets for other geographies were produced separately; metadata for these related datasets may be found here: Hawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianCanopy_HI.xml, Puerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianCanopy_PRVI.xml. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
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        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-16",
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
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      ],
      "temporal": [
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          "startDate": "2016-01-01",
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      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
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      "issued": "2020-09-16",
      "language": [
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      "theme": [
        "environment"
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Riparian Tree Canopy Cover by 12-digit HUC for Hawaii",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as tree canopy cover using the National Land Cover Database 2016 USFS Tree Canopy Cover dataset for each 12-digit hydrologic unit code (HUC) in Hawaii. Streams were derived from the National Hydrography Dataset (NHD) High Resolution dataset obtained June 2020. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "geospatial",
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        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Hawaii",
        "12-digit HUCs",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2020-10-01",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/HI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Riparian Tree Canopy Cover by 12-digit HUC for Puerto Rico and the US Virgin Islands",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as tree canopy cover using the National Land Cover Database 2016 USFS Tree Canopy Cover dataset for each 12-digit hydrologic unit code (HUC) in Puerto Rico and the US Virgin Islands. Streams were derived from the National Hydrography Dataset (NHD) High Resolution dataset obtained June 2020. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Virgin Islands",
        "geospatial",
        "Environment",
        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
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        "EnviroAtlas",
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        "Water"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRVI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2016 Riparian Land Cover Proportions by 12-Digit HUC for Alaska",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as forest, forest including woody wetlands, and natural land cover that occurs within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each 12-digit hydrologic unit code (HUC) in Alaska. Land cover is defined using the 2016 National Land Cover Dataset (NLCD). Streams were derived from the NHD (National Hydrography Dataset) High Resolution dataset obtained June 2020. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "United States",
        "geospatial",
        "Environment",
        "Wetlands",
        "Surface Water",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "12-digit HUCs",
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        "Water"
      ],
      "modified": "2020-10-29",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/AK_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2019 Riparian Land Cover Proportions by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as forest, forest including woody wetlands, and natural land cover that occurs within 45 meters of streams, rivers, and other hydrologically connected waterbodies within each 12-digit hydrologic unit code (HUC) in the conterminous United States. Land cover is defined using the 2019 National Land Cover Dataset (NLCD). Streams were derived from the NHD (National Hydrography Dataset) High Resolution dataset obtained 4 January 2022.\n\t\t\n\t\tDatasets for other geographies were produced separately; metadata for these related datasets may be found here: \n\t\tAlaska https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_AK.xml, \n\t\tHawaii https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_HI.xml, \n\t\tPuerto Rico and the U.S. Virgin Islands https://enviroatlas.epa.gov/enviroatlas/MetadataFGDC/RiparianLC_PRVI. \n\n\t\tThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Riparian",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-02-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A0F2736A-3F50-4BB2-B3D7-B12C3552AAE6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-05-04",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2005-2011 Riparian Land Cover Proportions by 12-digit HUC for Hawaii",
      "description": "This EnviroAtlas dataset represents the percentage land area that is classified as forest (excluding wetlands), forest including woody wetlands, and natural land cover that occurs within 45 meters of streams for each 12-digit hydrologic unit code (HUC) in Hawaii. Land cover is defined using the EnviroAtlas merged version of the Coastal Change Analysis Program's (C-CAP) 2005 - 2010 layer for Hawaii. Steams were derived from the NHDPlus Version 2 dataset. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Hawaii",
        "12-digit HUCs",
        "EnviroAtlas",
        "Riparian",
        "Water"
      ],
      "modified": "2019-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
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      "identifier": "{cd6197db-1c9f-44a3-8cb7-fec5e9f2c0d4}",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-160.250434 18.893384, -154.732119 18.893384, -154.732119 22.228151, -160.250434 22.228151, -160.250434 18.893384))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/HI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - 2010-2012 Riparian Land Cover Proportions by 12-digit HUC for Puerto Rico and the US Virgin Islands",
      "description": "This EnviroAtlas dataset represents the percentage of land area that is classified as forest (excluding wetlands), forest including woody wetlands, and natural land cover that occurs within 45 meters of streams for each 12-digit hydrologic unit code (HUC) in Puerto Rico. Land cover is defined using the EnviroAtlas version of the Coastal Change Analysis Program's (C-CAP) 2010 layer for Puerto Rico and the 2012 C-CAP for the U.S. Virgin Islands. Steams were derived from the NHDPlus Version 2 dataset. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "United States",
        "Virgin Islands",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "12-digit HUCs",
        "EnviroAtlas",
        "Puerto Rico",
        "Riparian",
        "Water"
      ],
      "modified": "2019-12-27",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{c05d3d63-a538-48e4-b335-a703f1b9baf3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-67.951455 17.673736, -64.565191 17.673736, -64.565191 18.516091, -67.951455 18.516091, -67.951455 17.673736))"
        }
      ],
      "temporal": [
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          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-12-27",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/PRVI_metrics_Mar2024_FGDB.gdb.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Road Density Metrics by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset describes several metrics related to road-stream crossings and roads near streams at the watershed scale. According to EPA report 600/R-97/130, roads can affect stream water in many ways and roads in close proximity to streams have the most potential for adverse effects on stream water quality. Since roads have an impervious surface, and ditches are built to channel water from roads into streams, the rate of water runoff is higher where there are more roads. Not only does this lead to increased scour of the river channel and stream banks, but it can also be a preferential pathway for runoff associated with road salting or routine maintenance which, along with other spills on the roadway, can lead to overall reductions in water quality.\n\nThis dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Surface Water",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Transportation",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-04-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5141d256-271a-4f82-8b06-29fe0a06103b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-09-30",
          "endDate": "2022-01-04"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-05-04",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Soil Loss (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual soil loss from each pixel in metric tons per hectare*10,000 for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of six rasters showing runoff, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AFE33D79-29E0-4621-8E67-18448A24747C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-03-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/RUSLE_base_MetricUnits_325limit_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Soil Loss (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual soil loss from each pixel in metric tons per hectare*10,000 for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{05A881F0-6D47-4B53-8854-955B6FC691E2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-03-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/RUSLE_scen_MetricUnits_325limit_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Soil Loss Avoided due to Vegetation (Scaled) for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual soil loss from each pixel avoided due to natural vegetation in metric tons per hectare*10,000 for the conterminous United States for 2011. It is the difference between soil loss with existing land use / land cover and under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-04-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "05ae8a25-abd0-4ddb-889b-40a3f6933014",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-04-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/RUSLE_SoilLossAvoided_MgHa_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average annual soil loss and sediment yield to waterbodies by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual soil loss and sediment yield to waterbodies by 12-digit HUC subwatershed for the conterminous United States for 2011 with existing land use / land cover and under a scenario in which natural vegetation is removed. It also includes the soil loss and sediment yield prevented by natural vegetation, calculated as the difference between soil loss or sediment yield with existing land cover and under the vegetation removal scenario. This dataset is based on a collection of six rasters showing runoff, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f9035442-5c01-4ff1-ba58-92795bfe6228}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-03-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, California - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1735 block groups in San Diego, California. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for San Diego, California. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the US Forest Service to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "San Diego, CA",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2021-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f485948b-7114-476e-ae44-22247162fc65}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.609343 32.529283, -116.65837 32.529283, -116.65837 33.517762, -117.609343 33.517762, -117.609343 32.529283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2021-05-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the San Diego, CA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0da90092-dad2-421c-8028-066dcbffd9c4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "San Diego, CA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{582ece99-de44-44d7-9189-c8b3e98758bb}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness, and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the San Diego, CA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2e9b1a6b-1797-4f49-bf1d-062e2c609366}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by Census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to San Diego, CA, Urban Water Management Plans (available via data.ca.gov and individual providers) and an average of available Residential Gallons Per Capita per Day (R-GPCD) data (available through the California State Water Resources Control Board (CSWRCB)) were used. Within the EnviroAtlas community boundary, provider estimates range from 61 to 362 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "EnviroAtlas",
        "San Diego, CA",
        "Water"
      ],
      "modified": "2022-08-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3e3f9c2a-fd3a-484c-9de6-1f9f8549aea1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.622636 32.455654, -116.622237 32.455654, -116.622237 33.614178, -117.622636 33.614178, -117.622636 32.455654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-08-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{578be9f9-129e-4485-95cf-e9e9fdc23c93}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Human",
        "Flood",
        "California",
        "Hazards",
        "San Diego, CA"
      ],
      "modified": "2022-11-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4c231e78-4e21-4dd6-ac20-8742787dff5d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-11-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6013239e-bf65-414b-a81c-25df9c22989b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e0f6825e-2515-4dce-bead-6a77a7928456}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "San Diego, CA"
      ],
      "modified": "2022-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{84832df7-15fb-4587-bb16-0f925934d940}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1735 block groups in San Diego, California. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the US Forest Service to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Trees",
        "EnviroAtlas",
        "San Diego, CA",
        "Water"
      ],
      "modified": "2021-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7384e0c1-1044-46b7-8df6-05d8a643b631}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.609343 32.529283, -116.65837 32.529283, -116.65837 33.517762, -117.609343 33.517762, -117.609343 32.529283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2021-05-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "San Diego, CA",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0742158a-6795-4b60-a4a4-1c0567819464}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas – San Diego, CA – Meter-Scale Urban Land Cover (MULC) Data (2014)",
      "description": "The San Diego, CA Meter Urban Land Cover (MULC) dataset was generated from sub-meter image pixel resolution data created by the University of Vermont (UVM) Spatial Analysis Laboratory (SAL) through the combined use of 2014 USDA National Agricultural Imagery Program (NAIP) four band (red, green, blue and near infrared) aerial ortho-imagery, 2014 LiDAR data covering coastal extents, 2015 LiDAR data covering inland areas, and GIS ancillary data provided by the city of San Diego or created by the UVM Spatial Analysis Laboratory under the direction of Jarlath O'Neil-Dunne. Object-based image analysis techniques (OBIA) were employed to classify a land cover product with seven land cover classes: Tree Canopy, Grass/Shrub, Bare Earth, Water, Buildings, Roads, Other Paved Surfaces.\n\nThis EPA-modified dataset was derived from the SAL seven-class land cover product. Land cover data were resampled to a 1-meter spatial resolution by EPA for MULC data product integration. Updates to the data were completed by EPA in 2020 to correct for errors or data voids in the original dataset and modified, as necessary, to meet MULC mapping product standards. The seven land cover classes mapped by SAL were condensed by EPA into five baseline land cover class categories as follows: Water, Impervious, Soil/Barren, Tree/Forest, Grass/Herbaceous. Additional corrections to the five condensed land cover classes were implemented using the five land cover classes prior to any additional land cover class category additions and final modifications.\n\nThe mapped area is confined to the boundaries of US Census Bureau's 2010 Urban Statistical Area for San Diego County, with an added 1-km buffer area around the San Diego dataset extent (with exception of areas on the southern U.S - Mexico border). A total of seven land cover classes were mapped: Water, Impervious, Soil or Barren, Trees or Forest, Grass or Herbaceous, Woody Wetlands and Emergent Wetlands.\n\nThe mapped area encompasses a total approximate area of 3,974 square kilometers and is confined to the boundaries of US Census Bureau's 2010 Urban Statistical Area for San Diego County, with an added 1-km buffer area (with exception of the data extent along the southern U.S - Mexico borderline). A total of seven land cover classes were mapped in the finalized product: Water, Impervious, Soil or Barren, Trees or Forest, Grass or Herbaceous, Woody Wetlands and Emergent Wetlands.\n\nIntegrated wetland features were derived using ancillary National Wetlands Inventory (NWI) polygon data (version 2), downloaded from the Unites States Fish and Wildlife Service (USFWS) Wetland Mapper web mapping service (https://www.fws.gov/wetlands/data/mapper.html). Metadata for the NWI wetlands data layer can be found at http://www.fws.gov/wetlands/Data/Metadata.html. \n\nAn accuracy assessment of the classified product, using 1259 combined random and stratified random photo-interpreted land cover reference sample points yielded an overall user's accuracy (MAX) of 52.0 percent and a fuzzy user's accuracy (RIGHT) of 83.4 percent.\n\nThis dataset was collaboratively developed by the University of Vermont Spatial Analysis Laboratory, the United States Forest Service Urban Tree Canopy (UTC) assessment program, and the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n\nFor data workflow processing details see Overview Description section. ",
      "keyword": [
        "Ecosystem",
        "Environment",
        "020:097",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Exposure",
        "Ecosystem Services",
        "United States",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Recreation",
        "Impact",
        "Natural Resources",
        "Downloadable Data",
        "Communities",
        "geospatial",
        "California",
        "San Diego, CA"
      ],
      "modified": "2021-03-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "EA63B203-90DE-427B-9CEC-1640FA9A68EC",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.609343 32.529283, -116.65837 32.529283, -116.65837 33.517762, -117.609343 33.517762, -117.609343 32.529283))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-04-15",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download//SDCA_MULC.tif.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/enviroatlas",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Landcover_AllCommunities/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
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        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{003f5eb4-0e10-4c05-b821-f1b7a46606c9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "San Diego, CA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b92fcc15-51e6-4116-9874-d2051ed7bdf6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "San Diego, CA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2022-06-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4e4fa569-2e6c-467c-b74a-46525584b52f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-06-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_PctStGS.tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "San Diego, CA",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2022-07-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2022-07-05",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_PctStTC.tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
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      "language": [
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      "theme": [
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      "distribution": [
        {
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      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
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      ],
      "accrualPeriodicity": "irregular",
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      "distribution": [
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets)",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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    },
    {
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Land Cover",
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      },
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "distribution": [
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - San Diego, CA - Residents with Minimal Potential Window Views of Trees by Block Group",
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        "Ecosystem Services",
        "Land Cover",
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      ],
      "modified": "2022-07-10",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-117.596554 32.534156, -116.669752 32.534156, -116.669752 33.503344, -117.596554 33.503344, -117.596554 32.534156))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDCA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream water body - per pixel *1.0e4 for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-04-24",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "4a2e6f09-52a9-4b51-832d-c73ea3fe32af",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-04-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDR_base_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Sediment Delivery Ratio (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average sediment delivery ratio (SDR) - the percentage of soil eroding from a pixel that is transported to a downstream water body - per pixel *1.0e4 for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-04-24",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "accessLevel": "public",
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
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          "startDate": "2011-01-01",
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      ],
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SDR_scen_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 612 block groups in Salt Lake City, UT. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Salt Lake City and County, UT. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-06-14",
      "publisher": {
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      },
      "identifier": "{705b6e98-48a3-4689-9cc9-e69b5dc8693e}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-06-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Salt Lake City, UT EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Utah",
        "EnviroAtlas"
      ],
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      "publisher": {
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      },
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        "fn": "EnviroAtlas Coordinator",
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      },
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      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
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        {
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      ],
      "accrualPeriodicity": "irregular",
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "geospatial",
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        "Environmental Atlas",
        "Society",
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        "EnviroAtlas",
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      ],
      "modified": "2018-05-25",
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      },
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{23fbb4a3-e75d-4788-804b-fa9ceec7e555}",
      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
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        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Salt Lake City, UT EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "geospatial",
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        "Environmental Atlas",
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      ],
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      },
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      },
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      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Utah",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-10-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{df13a164-549a-4927-b5fa-ddca16ce189f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-10-29",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLCUT_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use in this EnviroAtlas-defined study area is estimated at 90 and 119 GPD, based on 2015 Utah DNR data. The dasymetric data is a geospatial distribution of population across the landscape. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Ground Water",
        "Utah",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-08-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{67521783-2f51-42d7-9c78-cfa2d972025b}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-08-29",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Utah",
        "EnviroAtlas"
      ],
      "modified": "2018-05-25",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{bd6caea4-afe9-49c0-a7c7-06d459776c7e}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2018-05-25",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Salt Lake City, UT",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Utah",
        "Human"
      ],
      "modified": "2018-08-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{24ff9acb-5bd2-477a-a460-581b9b578855}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-08-30",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Ecosystem Services",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Utah",
        "EnviroAtlas"
      ],
      "modified": "2018-05-25",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a078c614-8e66-4822-a0b1-def9997ad0dd}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-25",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Utah",
        "EnviroAtlas"
      ],
      "modified": "2018-08-29",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0ac6133d-32cf-4331-9e3e-f2ae404f07ec}",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-08-29",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environmental Atlas",
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      ],
      "modified": "2018-05-25",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{269963fa-74d8-4abc-a5e4-1152b9a3ce48}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-05-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dbab21bf-487d-4116-bbfc-8a26109daf27}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLCUT_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 612 block groups in Salt Lake City, UT. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Utah",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-06-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5f42bc4d-27f6-4d46-9305-73fa0ad733e6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-06-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this commmunity, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Green Space",
        "Utah",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2018-05-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{fb91eff1-a230-4ad1-99f0-03639db71a2a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Salt Lake City, UT -- Meter-Scale Urban Land Cover (MULC) Data (2014)",
      "description": "These Salt Lake City, Utah MULC data were created using 2014, leaf-on United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) 1-meter resolution ortho imagery and LiDAR data collected in 2006-2007, 2011, and 2013-2014. This rule-based classification used object-based image analysis (OBIA) methods and was performed using eCognition Developer 9.3 (Trimble) with pre and post processing performed in ArcMap Desktop version 10.5.1 (ESRI) and ENVI LiDAR version 5.3 (Harris Geospatial Solutions). The area was selected based on the US Census Bureau's 2010 Urban Area for Salt Lake City with a 1 km buffer added. This dataset has an overall user's accuracy of 78.6% and an overall fuzzy user's accuracy of 82.5%. Seven land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forest, Shrubs, Grass/Herbaceous Non-Woody Vegetation, and Wetlands (Woody and Emergent). An analysis of 600 photo-interpreted land cover reference points yielded an overall user's accuracy of 78.7% (MAX) and an overall fuzzy user's accuracy of 82.5% (RIGHT) (see confusion matrices below). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "Utah"
      ],
      "modified": "2018-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f4db962b-0c81-42bc-b934-446fed441201}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.30332 40.379029, -111.509055 40.379029, -111.509055 40.978978, -112.30332 40.978978, -112.30332 40.379029))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-09-07",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLCUT_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-06-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ac0e7e07-beda-4240-8113-7b2b7fd398e8}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-06-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-06-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c8fab849-b86b-4dbd-bd57-26c3777ba9a9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-06-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "Utah",
        "EnviroAtlas"
      ],
      "modified": "2018-06-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4b6f79f6-d20e-4d2e-98ec-1070ba069c8f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-06-28",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Recreation",
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{50aca814-8f1c-41c2-8868-7d72f6712612}",
      "accessLevel": "public",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
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      ],
      "theme": [
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      "distribution": [
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          "description": "The URL providing direct access to the downloadable dataset. ",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "distribution": [
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          "downloadURL": "https://enviroatlas.epa.gov/download/SLCUT_PctStGS_tif.zip",
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      ],
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    },
    {
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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    },
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Ground Water",
        "Utah",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2018-06-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{797f6dd2-db7b-4e9b-98ba-1db2588da609}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-06-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2018-05-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e9128488-d40a-45bf-aab1-bf02a69d663c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Salt Lake City, UT - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Salt Lake City, UT",
        "Environmental Atlas",
        "Human Well-being",
        "Utah",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-05-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{41076759-1c1a-4de9-a461-a2ba2050bc5c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.25671 40.41146, -111.5557 40.41146, -111.5557 40.92497, -112.25671 40.92497, -112.25671 40.41146))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-05-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLCUT_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "SLD",
      "description": "SLD",
      "modified": "2024-12-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "{BCE98875-BED3-4911-8BEA-32220B3E15E7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 2.969871, 180.0 2.969871, 180.0 90.0, -180.0 90.0, -180.0 2.969871))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1552 block groups in the Greater St. Louis, MO region. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for the Greater St. Louis, MO region. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-07-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{bff1dd5f-f96d-4da9-b840-8195de525285}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-07-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the St. Louis, MO EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "EnviroAtlas",
        "St. Louis, MO"
      ],
      "modified": "2019-06-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c9b5e4bc-c0fd-4008-ba49-71300f76c19c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "St. Louis, MO",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2019-06-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e32626ed-0b73-4808-aa96-f1265a2ae288}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-21",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the St. Louis, MO EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "EnviroAtlas",
        "St. Louis, MO"
      ],
      "modified": "2019-06-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{059c3f34-ac51-40cb-939e-767db331be8e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2019-06-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "St. Louis, MO"
      ],
      "modified": "2019-11-14",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dfe2b041-54a3-49dc-9a22-cff39dd70559}",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-14",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLMO_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Two reports were used with city- or water supply authority- level domestic water demand data, in addition to county level data. The 2013 Jefferson County Data Book provides detailed publicly, privately, and self supplied water use and population served for 2013 and covers the Jefferson County, MO portion of the EnviroAtlas study area. The 2019 Census of Missouri Public Water Systems provides detailed publicly supplied water use and population served for 2019 and covers all of Missouri. The 2010 USGS Estimated Use of Water in the United States in 2010 report covers the missing areas, including counties in Illinois within the study area. Data from these reports were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 25 and 427 GPD for each of the subregions in the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
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        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Missouri",
        "Environmental Atlas",
        "Ground Water",
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        "St. Louis, MO",
        "Water"
      ],
      "modified": "2019-08-29",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{18650143-5a5a-4163-962e-25d93d3c2548}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
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          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-29",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
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        "Human Well-being",
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      ],
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      },
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      "accessLevel": "public",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
        {
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          "startDate": "2011-01-01",
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "issued": "2019-06-22",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Missouri",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2019-06-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{9f0694e5-14b6-4cb6-8770-9b1877881f6e}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-26",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Ecosystem Services",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Green Space",
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        "EnviroAtlas",
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      ],
      "modified": "2019-06-24",
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      },
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      },
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
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          "endDate": "9999-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2019-06-24",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Census Block Groups",
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        "Missouri",
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        "Society",
        "Recreation",
        "EnviroAtlas",
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      ],
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      },
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      "language": [
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      ],
      "theme": [
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        {
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          "description": "The URL providing direct access to the downloadable dataset. ",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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      ],
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      ],
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          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dd227381-8941-4073-8381-c8975b3141de}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLMO_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1552 block groups in the Greater St. Louis, MO region. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "St. Louis, MO",
        "Water"
      ],
      "modified": "2019-08-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5096ea51-01e2-42fe-a808-85ab0e57498c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-08-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this commmunity, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Green Space",
        "St. Louis, MO",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-06-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3be0bc4f-3548-4142-9173-84db58dd4c00}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- St. Louis, MO -- Meter-Scale Urban Land Cover Data (MULC) Data (2016)",
      "description": "The EnviroAtlas St. Louis, Missouri Meter-Scale Urban Land Cover (MULC) dataset comprises 4188 km2 around the city of St. Louis and surrounding land in parts of eleven counties within Illinois and Missouri. These MULC data and maps were derived from several sources from multiple years: LiDAR (2008-2012); 1-m pixel, four-band (red, green, blue, and near-infrared) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP, 2012, 2014-2016); leaf-off 6-inch pixel four-band imagery (2015) as well as ancillary vector data (e.g., roads, building footprints.). Eight land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forested, Grass/Herbaceous Non Woody Vegetation, Agriculture, and Wetlands (Woody and Emergent). Wetlands were delineated using the best available existing wetlands data, which was a National Wetlands Inventory (NWI) layer. An analysis of 745 completely random and 226 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 81% and an overall fuzzy user's accuracy (RIGHT) of 90% (see confusion matrices below). This dataset was produced in three phases by the University of Missouri and the East-West Gateway Council of Governments for the Missouri Resource Assessment Partnership (MoRAP) and the US EPA to support research and online mapping activities related to the EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "St. Louis, MO",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f0e4c532-b1d8-4b96-8d1c-855103e5099c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.990687 38.148596, -89.744822 38.148596, -89.744822 38.948874, -90.990687 38.948874, -90.990687 38.148596))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLMO_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dde2da85-1fe8-469f-a3f3-b6c460a962be}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2019-06-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2019-06-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{06c695ee-ac11-4808-a0ca-f080ce6d5d0d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "St. Louis, MO"
      ],
      "modified": "2019-07-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d8b7eb25-b431-46dc-83ae-5559b32d9965}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-07-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "St. Louis, MO"
      ],
      "modified": "2019-07-29",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6d857d72-acbd-45e5-8a4a-a1bb47bcca80}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2019-07-29",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
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        "Ecosystem Services",
        "Land Cover",
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        "Environmental Atlas",
        "Human Well-being",
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        "EnviroAtlas",
        "Health"
      ],
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      },
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        "fn": "EnviroAtlas Coordinator",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
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        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-26",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SLMO_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Environmental Atlas",
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      ],
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
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      ],
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      },
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download/SLMO_PctStTC_tif.zip",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "geospatial",
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        "Environmental Atlas",
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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      ],
      "accrualPeriodicity": "irregular",
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2019-06-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "St. Louis, MO",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2019-06-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4dc58d75-67db-4b7a-9622-385bc5f8e1ac}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-22",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "St. Louis, MO",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-06-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{caee74f4-72b4-400b-9656-af1cd9d9a7e8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - St. Louis, MO - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Missouri",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "St. Louis, MO",
        "Water"
      ],
      "modified": "2019-06-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1fc2c7ec-f506-46e6-84bb-0cef90ff0ac2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-90.97891 38.18429, -89.75686 38.18429, -89.75686 38.91245, -90.97891 38.91245, -90.97891 38.18429))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-06-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SLMO_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Direct Normal Solar resources kWh/m2/Day by 12-Digit HUC for the Conterminous United States",
      "description": "The annual average direct normal solar resources by 12-Digit Hydrologic Unit (HUC) was estimated from maps produced by the National Renewable Energy Laboratory for the U.S. Department of Energy (February 2009). The original data was from 10km, satellite modeled dataset (SUNY/NREL, 2007) representing data from 1998-2005. The 10km data was converted to 30m grid cells, and then zonal statistics were estimated for a final value of average kWh/m2/day for each 12-digit HUC. For more information about the original dataset please refer to the National Renewable Energy Laboratory (NREL) website at www.nrel.gov/gis/data_solar.html. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Energy",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6858E347-5D85-4C2B-91A2-254BCF0E2CA6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-18",
          "endDate": "2012-01-18"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 386 block groups in Sonoma County, CA. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Sonoma County, CA. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Sonoma County, CA",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-12-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{40672a47-d07a-498f-a6be-31f4f1cfd8b0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-12-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Sonoma County, CA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{367ff46b-ecce-444f-be3e-1d91c53815f1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Society",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6a84a73e-cbf2-4f52-80b7-3fd84e03c942}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Sonoma County, CA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a3ec8c72-cda4-4dce-8aa1-eb8e5dfd8d0e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Green Infrastructure",
        "EnviroAtlas"
      ],
      "modified": "2019-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{00d21e45-9d53-4b66-8d1e-60ce6c18b9ea}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SonCA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Domestic Water Demand per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by Census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to Sonoma County, CA, Urban Water Management Plans (available via data.ca.gov and individual providers) and an average of available Residential Gallons Per Capita per Day (R-GPCD) data (available through the California State Water Resources Control Board (CSWRCB)) were used. Within the EnviroAtlas community boundary, provider estimates range from 57 to 101 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "Sonoma County, CA",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2019-02-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{61b300b9-6fa1-4929-b512-732435a53d1c}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-11-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f23e11e5-03a2-4502-aae7-bd5da1b5bf80}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-11-05",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Sonoma County, CA",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "California",
        "Hazards",
        "Human"
      ],
      "modified": "2018-09-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e310bcdb-0937-4810-93c8-33210272039e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-25",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-11-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2eca67fd-55bf-41f8-bece-2cedbb541748}",
      "accessLevel": "public",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-11-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-12-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d27ce7c6-2ed2-45cd-89f2-4ab7cf73503c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-12-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas"
      ],
      "modified": "2018-11-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{66429674-bbfd-4fcd-a33f-7ad0e8638279}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-11-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-09-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cb1d04bd-b992-44f2-ae27-655e9819bff9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-09-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SonCA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 386 block groups in Sonoma County, CA. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "Sonoma County, CA",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "California",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-12-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a6056198-43dc-4d8c-86a8-2bb49781c50b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2018-12-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, Orchards, and Woody Wetlands. Green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Agriculture, Orchards, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture and Orchards. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "California",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2019-02-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{09df2061-bd30-4d4c-aaad-0c392d8f802d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-02-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Meter-Scale Urban Land Cover (MULC) Data (2013)",
      "description": "The EnviroAtlas Sonoma County, CA Meter-scale Urban Land Cover (MULC) data were generated from four-band (red, green, blue, and near infrared) aerial photography and LiDAR data at 6-inch spatial resolution, collected in late 2013, as well as ancillary vector data (e.g., roads, agriculture, wetlands) provided by the Sonoma County Vegetation Mapping and LiDAR Program (http://Sonomavegmap.org). Ten land cover classes were mapped: water, impervious surfaces, soil and barren land, trees, shrub, grass-herbaceous non-woody vegetation, agriculture, orchards, as well as woody wetlands and emergent herbaceous wetlands. An accuracy assessment of 629 completely random and 176 stratified random photo-interpreted reference points yielded an overall MAX accuracy of 79 percent and an overall RIGHT accuracy of 80 percent (See overview section for more details on accuracy assessment). The area mapped is Sonoma County, CA. This dataset was produced by the Sonoma County Vegetation Mapping and LiDAR Program and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Sonoma County, CA",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "California"
      ],
      "modified": "2018-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b5bdc84c-02f4-4768-93a9-49755acb5808}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.565396 37.86567, -122.27694 37.86567, -122.27694 39.248379, -123.565396 39.248379, -123.565396 37.86567))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2018-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SonCA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9e414fa7-d021-41bc-9a39-b4ea3800f01f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{39300a70-6097-4226-8d18-a2883c65863a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
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        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2018-09-24",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{713c26cb-deae-4e0c-949f-93e40b33c3c0}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-24",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
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        "California",
        "Recreation",
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      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
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      "theme": [
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      "distribution": [
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Estimated Percent Green Space Along Walkable Roads",
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      ],
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
      "temporal": [
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      ],
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      "distribution": [
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      ],
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    },
    {
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      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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    },
    {
      "@type": "dcat:Dataset",
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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    {
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      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      ],
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2018-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{bb93bdab-0d01-44cf-b2d9-8ab04a208db4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "California",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2018-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{faabf24b-7fce-406f-b141-61680b85ff6c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, Orchards, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2018-11-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{adb8983a-f33a-4a74-9fff-afe6515079d9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-11-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Sonoma County, CA - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Sonoma County, CA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "California",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2018-10-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{d8389a26-4f3e-4257-8eb1-a7c6aea067a9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-123.53196 38.07387, -122.34041 38.07387, -122.34041 38.85106, -123.53196 38.85106, -123.53196 38.07387))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2018-10-30",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//SonCA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Map Data",
      "description": "This EnviroAtlas dataset is a point feature class showing the locations of stream confluences, with attributes showing indices of ecological integrity in the upstream catchments and watersheds of stream confluences and the results of a cluster analysis of these indices. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8c2c2741-2a96-4933-8e77-cf9613e7f33a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Stressors for stream confluence catchments for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains information about stressors in the upstream catchments of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9e0fd4f8-ddb1-4d70-b78e-613bec653d4e}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Stream Confluence Dataset - Stressors for stream confluence watersheds for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains information about stressors in the upstream watersheds of stream confluences. Stream confluences are important components of fluvial networks. Hydraulic forces meeting at stream confluences often produce changes in streambed morphology and sediment distribution, and these changes often increase habitat heterogeneity relative to upstream and downstream locations. Increases in habitat heterogeneity at stream confluences have led some to identify them as biological hotspots. Despite their potential ecological importance, there are relatively few empirical studies documenting ecological patterns across the upstream-confluence-downstream gradient. To facilitate more studies of the ecological value and role of stream confluences in fluvial networks, we have produced a database of stream confluences and their associated watershed attributes for the conterminous United States. The database includes 1,085,629 stream confluences and 383 attributes for each confluence that are organized into 15 database tables for both tributary and mainstem upstream catchments (\"local\" watersheds) and watersheds. Themes represented by the database tables include hydrology (e.g., stream order), land cover and land cover change, geology (e.g., calcium content of underlying lithosphere), physical condition (e.g., precipitation), measures of ecological integrity, and stressors (e.g., impaired streams). We use measures of ecological integrity (Thornbrugh et al. 2018) from the StreamCat database (Hill et al. 2016) to classify stream confluences using disjoint clustering and validate the cluster results using decision tree analysis. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-09-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6318c4f6-26f6-4e9c-bf84-55a8dc3bf181}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-125.0 24.52, -66.95 24.52, -66.95 49.37, -125.0 49.37, -125.0 24.52))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-11-19",
          "endDate": "2015-11-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Stream_Confluences/FeatureServer"
      },
      "issued": "2020-09-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/StreamConfluences_Sep2021_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Sediment Yield to the Nearest Waterbody Avoided due to Vegetation (Scaled) for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual sediment yield in metric tons per hectare*10,000 to the nearest waterbody from each pixel avoided due to natural vegetation for the conterminous United States for 2011. It is the difference between sediment yield with existing land use / land cover and under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2025-04-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "e5453290-5f03-4417-97d4-0dc486bc0c84",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2025-04-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SYLD_avoided_MgHa_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Sediment Yield to the Nearest Waterbody (Scaled) - Existing Land Use / Land Cover Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual sediment yield in metric tons per hectare*10,000 to the nearest waterbody by each pixel for the conterminous United States for 2011 with existing land use / land cover. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2C79FA35-9003-47E1-9179-A39DA5C18D86}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-03-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SYLD_base_MgHa_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Average Annual Sediment Yield to the Nearest Waterbody (Scaled) - Natural Vegetation Removal Scenario for the Conterminous United States",
      "description": "This EnviroAtlas national dataset shows the average annual sediment yield in metric tons per hectare*10,000 to the nearest waterbody by each pixel for the conterminous United States for 2011 under a scenario in which natural vegetation has been removed. This raster is part of a collection of eight rasters showing soil loss, sediment delivery ratio, and sediment yield to streams and waterbodies under two land cover scenarios, and the difference between both scenarios for soil loss and sediment yield. The two scenarios are the existing vegetation scenario based on the 2011 National Land Cover Database (NLCD), and a scenario in which natural land cover was replaced with barren land. Average annual soil loss due to sheet and rill erosion was calculated using the Revised Universal Soil Loss Equation (RUSLE) equation for both scenarios. A Sediment Delivery Ratio (SDR) was then applied to both scenarios. The SDR was multiplied by the average annual soil loss to estimate net sediment yield to downstream waterways under both scenarios. These datasets can be used together to quantify the soil retention services of natural vegetation. The datasets used as inputs include the 2011 NLCD, 1971-2000 Rainfall-runoff erosivity factor from PRISM (Parameter-elevation Regressions on Independent Slopes Model), the U.S. Geological Survey's 30-meter digital elevation model (DEM), Soil Survey Geographic Database (SSURGO), and State Soil Geographic Database (STATSGO2) data, MODIS (Moderate Resolution Imaging Spectroradiometer) Normalized Difference Vegetation Index (NDVI), and the US Department of Agriculture (USDA)'s crop management zones (CMZs). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2021-03-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C0F4B094-8D91-42B0-AA6F-83919C931C6B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgment of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.028392 22.734889, -65.203364 22.734889, -65.203364 51.67736, -128.028392 51.67736, -128.028392 22.734889))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2021-03-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/SYLD_scen_MgHa_1e4.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 526 block groups in Tacoma, Washington. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Tacoma, WA. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the US Forest Service to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Tacoma, WA",
        "Environmental Atlas",
        "Human Well-being",
        "Washington",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2021-02-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6f1faef8-0469-4323-9734-4d584944e824}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.779859 46.848943, -121.88994 46.848943, -121.88994 47.413195, -122.779859 47.413195, -122.779859 46.848943))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2021-02-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Tacoma, WA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
        "Washington",
        "EnviroAtlas"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{964a2872-70b1-4d65-8236-b2e15567527a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
        "Society",
        "Washington",
        "EnviroAtlas",
        "Human"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7080b12f-43fd-405a-9c8c-65c17f54f668}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Tacoma, WA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
        "Washington",
        "EnviroAtlas"
      ],
      "modified": "2022-07-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{817131b6-17b8-40d7-a6a6-5fd71a2fd94f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use estimates in this EnviroAtlas-defined study area range from 84 to 110 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Tacoma, WA",
        "Drinking Water",
        "Environmental Atlas",
        "Washington",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-05-26",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{235e7026-c86e-44fb-8f87-eb74f0511564}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
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          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-26",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Washington",
        "EnviroAtlas"
      ],
      "modified": "2022-07-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0bcd404d-0a0f-4b61-930f-7c893c8c8d72}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Washington",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Tacoma, WA",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2022-11-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b401cc48-2ab3-46ef-bf3c-59fa9e274226}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-11-16",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Ecosystem Services",
        "Tacoma, WA",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Washington",
        "EnviroAtlas"
      ],
      "modified": "2022-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{408f3030-63b6-4682-857d-58f7bfc7befc}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-05",
          "endDate": "2013-11-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA- Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
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        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Washington",
        "EnviroAtlas"
      ],
      "modified": "2022-07-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{955f42bb-f540-43c1-bf7f-919af9ee213e}",
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
        "geospatial",
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      ],
      "modified": "2022-07-13",
      "publisher": {
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      "contactPoint": {
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-11-05",
          "endDate": "2013-11-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2022-07-13",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 526 block groups in Tacoma, Washington. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the US Forest Service to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
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        "Surface Water",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
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      ],
      "modified": "2021-03-17",
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      },
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.779859 46.848943, -121.88994 46.848943, -121.88994 47.413195, -122.779859 47.413195, -122.779859 46.848943))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
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      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Census Block Groups",
        "Ecosystem Services",
        "Tacoma, WA",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Washington",
        "EnviroAtlas",
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      ],
      "modified": "2022-07-06",
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
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        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Tacoma, WA -- Meter-Scale Urban Land Cover (MULC) Data (2011)",
      "description": "The Tacoma, WA Meter Urban Land Cover (MULC) dataset was generated from 1-meter image pixel resolution data sourced from 2011 USDA National Agricultural Imagery Program (NAIP) four band (red, green, blue and near infrared) aerial ortho-imagery. LiDAR point density data (9/m^2 point spacing), available for years 2010 and 2011, was used to map most areas of Pierce County, and supplemental LiDAR data, available for earlier years, was used to map area segments where 2010-2011 LiDAR data was not available.  A 7-band stack consisting of 1-meter, four-band (red, green, blue, and near-infrared) aerial photography, Normalized Difference Vegetation Index (NDVI), and lidar-derived intensity and height above ground was created and primarily used to classify land cover using Genie Pro automated feature extraction software. Several ancillary datasets, such as hydrographic and transportation feature data, were edited in ArcGIS and integrated into the classification workflow.\n\nThe Tacoma, WA land cover dataset includes data for the Tacoma metropolitan area of Pierce County, WA, and encompasses a total approximate area of 1,995 square kilometers. The thematic landcover data is confined to areas included within the US Census Bureau's 2010 Urban Statistical area boundaries for Pierce County, WA, with an additional 1km buffer extension that include bits of Kitsap, King and Thurston Counties.\n\nThe following seven land cover classes were mapped: Water, Impervious, Soil or Barren, Trees or Forest, Grass or Herbaceous, Woody Wetlands and Emergent Wetlands.\n\nMapped water bodies were generated using combined high-resolution LiDAR and ancillary hydrological data.\n\nIntegrated wetland features were derived using ancillary National Wetlands Inventory (NWI) polygon data (version 2), downloaded from the Unites States Fish and Wildlife Service (USFWS) Wetland Mapper web mapping service (https://www.fws.gov/wetlands/data/mapper.html). Metadata for the NWI wetlands data layer can be found at http://www.fws.gov/wetlands/Data/Metadata.html.\n\nAn accuracy assessment of the classified product, using 482 completely random and 46 (Soil/Barren) stratified random photo-interpreted land cover reference sample points yielded an overall user's accuracy (MAX) of 85.1 percent and a fuzzy user's accuracy (RIGHT) of 86.9 percent.\n\nFor data workflow processing details see Overview Description section.\n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (http://enviroatlas.epa.gov/EnviroAtlas/DataFactSheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "020:097",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Exposure",
        "Ecosystem Services",
        "Washington",
        "United States",
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        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Recreation",
        "Impact",
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        "Communities",
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        "Surface Water",
        "Tacoma, WA"
      ],
      "modified": "2020-07-28",
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "bbox": "POLYGON((-122.779872 46.848943, -121.88994 46.848943, -121.88994 47.413204, -122.779872 47.413204, -122.779872 46.848943))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2022-04-14",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_MULC.tif.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Landcover_AllCommunities/ImageServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Air",
        "geospatial",
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        "Transportation",
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        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
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      ],
      "modified": "2022-07-07",
      "publisher": {
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      },
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      },
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
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          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2022-07-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
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      ],
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2022-07-07",
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      ],
      "theme": [
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      "distribution": [
        {
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Estimated Percent Green Space Along Walkable Roads",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      ],
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      ],
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    },
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      ],
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      ],
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Tacoma, WA",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Washington",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2022-07-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3696b31c-44c2-4286-9c0d-15e3d81882f6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tacoma, WA",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Washington",
        "Trees",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment CPHEA, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{87cc7d18-6410-4e86-9415-a8ca73f927f9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tacoma, WA - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. This dataset was produced the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Tacoma, WA",
        "Environmental Atlas",
        "Human Well-being",
        "Washington",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2022-07-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e8600596-b594-49dc-b6b1-7d1d094657c6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-122.76678 46.86297, -121.90338 46.86297, -121.90338 47.39917, -122.76678 47.39917, -122.76678 46.86297))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2022-07-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TacWA_metrics_Mar2023_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa Bay, FL - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1,833 block groups in Tampa Bay, Florida. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Tampa Bay, FL",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Florida"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{75E1F73B-B20C-4F21-8DB6-BB5A6FCD7757}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Tampa, FL EnviroAtlas Area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A03EEABD-D4E1-4C79-A2A6-68F7B3437B51}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Human",
        "Florida"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4417BC7A-793E-4C2C-8E4C-B27CF190E271}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Tampa, FL Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{655B9FA6-40CE-40BF-A21F-EA2C94F5C6BC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-03-01",
          "endDate": "2012-03-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is trees & forest and woody wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/research/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Tampa Bay, FL",
        "Green Infrastructure",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{864118E7-7E57-4F1D-810D-A71D37C82DB2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TFL_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Specific to Florida, oversight of water resources is handled by five water management districts, each comprised of a board of Governor-appointed volunteers. These Districts focus on water supply, flood protection, water quality, and natural system preservation. Tampa is in the Southwest Florida Water Management District (SWFWMD). Within the EnviroAtlas Tampa boundary, there are 67 service providers with 2003-2007 estimates ranging from 59 to 230 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Tampa Bay, FL",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Florida",
        "Water"
      ],
      "modified": "2014-10-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{AF009233-761D-4CFE-B22A-F94BCA66182B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-10-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F1E335DA-3895-4B33-A882-BEADF85CE918}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-12",
          "endDate": "2013-04-12"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Tampa, FL",
        "Water",
        "Florida",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{95626fc8-a7bf-419f-a93c-fb2728e12f2b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Tampa, FL",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{89AEB768-0338-4CF5-A46B-EC1B7A5B3924}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-19",
          "endDate": "2015-03-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2014-08-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{E8A7E200-C10B-485D-AB2A-CC25CB5DB4FC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{82565C20-0896-419B-A2E9-43421E19976C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-26",
          "endDate": "2015-03-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "Florida"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{356EC846-7733-4AA3-8E0D-83DFA5AA2C52}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TFL_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1,833 block groups in Tampa Bay, Florida. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Tampa Bay, FL",
        "Trees",
        "EnviroAtlas",
        "Florida",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{DD093AC0-9827-446C-A2A7-0D22BC39DD4D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, wetland, and agriculture. Impervious is a combination of dark and light impervious. Forest is a combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands.This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Natural Resources",
        "Florida"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CD8DBCBC-72C8-4ACD-817F-A497BA4B5E22}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-12",
          "endDate": "2013-04-12"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Tampa, FL -- Meter-Scale Urban Land Cover (MULC) Data (2010)",
      "description": "The EnviroAtlas Tampa, FL Meter-Scale Urban Land Cover (MULC) data was generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from April-May 2010 at 1 m spatial resolution. Eight land cover classes were mapped: impervious surface, soil and barren, grass and herbaceous, trees and forest, water, agriculture, woody wetland, and emergent wetland. The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Tampa, and includes the cities of Clearwater and St. Petersburg, as well as additional out-lying areas. An accuracy assessment using a stratified random sampling of 600 samples (100 per class) yielded an overall accuracy of 70.67 percent and an area weighted accuracy of 81.87 percent using a minimum mapping unit of 9 pixels (3x3 pixel window). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Tampa Bay, FL",
        "Florida",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{9AD339AD-9243-4EFB-A70B-E2471D96A23E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-04-01",
          "endDate": "2010-05-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TFL_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Tampa Bay, FL",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Florida"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F7B7E9EC-B189-4327-BBEA-C3734DFBD404}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Florida"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6F0C61B7-7BB9-4670-A69D-A789D7EBA97C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Florida"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5FC3F0F9-11FA-4D30-9964-E1D69F6EDF3B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-05",
          "endDate": "2015-10-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Tampa Bay, FL",
        "Florida"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C17799CA-F743-4CE6-BC71-3D4C82E5F2BC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Tampa, FL",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Florida"
      ],
      "modified": "2015-12-02",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{791C9D8F-4F23-44F0-9F4B-E8256D66EE0B}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TFL_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Air",
        "geospatial",
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        "Transportation",
        "Ecosystem Services",
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        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
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      ],
      "modified": "2015-08-07",
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{790D6F59-241C-40FD-B603-337A4CEA9299}",
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/TFL_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Florida",
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        "Ecosystem Services",
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        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{432B30DD-DA4D-44BD-81C6-13BBD9FC3661}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-26",
          "endDate": "2013-04-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
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          "endDate": "2013-04-26"
        }
      ],
      "accrualPeriodicity": "irregular",
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        {
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
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      ],
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Florida",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Tampa Bay, FL",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2014-08-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{493C82A9-D0C3-41F1-BC25-C41F56C0FCA8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-19",
          "endDate": "2013-04-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Tampa Bay, FL",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "Florida"
      ],
      "modified": "2014-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{66FE1B8E-FE35-4BF5-8960-F4BF406FAA9A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-06-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Tampa, FL - Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of waterbodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The residential locations are defined using the EnviroAtlas Dasymetric (2011 version) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas ) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Tampa Bay, FL",
        "EnviroAtlas",
        "Florida",
        "Water"
      ],
      "modified": "2013-10-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{72A68A05-3DAF-4B0C-A93B-7CBCFAE352DE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.851123 27.651249, -82.056207 27.651249, -82.056207 28.418373, -82.851123 28.418373, -82.851123 27.651249))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-10",
          "endDate": "2014-06-10"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2013-10-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//TFL_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Thermoelectric Water Use by 12-Digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset is a summary of the thermoelectric water consumption based on the December 2016 US Energy Information Administration (EIA) monthly electric generator inventory, a 2014 review of water consumption for electricity generation (Macknick et al.), and reported water consumption estimates from a 2009 Department of Energy (DOE) report. The file contains total water withdrawal and consumption in gallons per year by 12-digit hydrologic unit codes (HUC_12s) from the boundary file named NHDPlusV2_WBDSnapshot_EnviroAtlas_CONUS. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Demand for Ecosystem Services",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Energy",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Ground Water",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-03-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A15BD49A-0C75-4E64-902B-581D89F7B8AC}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-01-01",
          "endDate": "2016-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-03-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Below Ground Live Tree Biomass Carbon Storage by 12-Digit HUC for the Conterminous United States - Forested",
      "description": "This EnviroAtlas dataset includes the summed below ground live tree root dry biomass estimate by 12-digit Hydrologic Unit (HUC) in metric tons (megagrams) from the 2000 National Biomass and Carbon Dataset (Version 2.0) developed by the Woods Hole Research Center, released in October, 2012. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Biophysical",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Ecology",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-10-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0587242D-9CFC-460C-91B1-FC89B65AC66F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-10-20",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Total reptile species by 12-digit HUC for the conterminous United States",
      "description": "This EnviroAtlas dataset was produced by a joint effort of New Mexico State University, US Environmental Protection Agency (US EPA,) and the U.S. Geological Survey (USGS) to support research and online mapping activities related to EnviroAtlas. Ecosystem services, i.e., services provided to humans from ecological systems have become a key issue of this century in resource management, conservation planning, and environmental decision analysis. Mapping and quantifying ecosystem services have become strategic national interests for integrating ecology with economics to help understand the effects of human policies and actions and their subsequent impacts on both ecosystem function and human well-being. Some aspects of biodiversity are valued by humans in varied ways, and thus are important to include in any assessment that seeks to identify and quantify the benefits of ecosystems to humans. Some biodiversity metrics clearly reflect ecosystem services (e.g., abundance and diversity of harvestable species), whereas others may reflect indirect and difficult to quantify relationships to services (e.g., relevance of species diversity to ecosystem resilience, cultural and aesthetic values). Wildlife habitat has been modeled at broad spatial scales and can be used to map a number of biodiversity metrics. We map 15 biodiversity metrics reflecting ecosystem services or other aspects of biodiversity for all vertebrate species except fish. Metrics include species richness for all vertebrates, specific taxon groups, harvestable species (i.e., upland game, waterfowl, furbearers, small game, and big game), threatened and endangered species, and state-designated species of greatest conservation need, and also a metric for ecosystem (i.e., land cover) diversity. This dataset contains information on Reptile Species Richness, the number of reptile species per 12-digit Hydrologic Unit (HUC). The EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Biota",
        "Iowa",
        "EnviroAtlas",
        "Supply of Ecosystem Services",
        "Ohio",
        "Biology",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Biodiversity",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Habitat",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "Species",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{54A8FEC4-97C2-40D1-90FE-DA932E6B5EFE}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-03-25",
          "endDate": "2013-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Beef Cow Operations by County",
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      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1057 block groups in Virginia Beach/Williamsburg, VA. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for the cities of Chesapeake, Hampton, Newport News, Norfolk, Poquoson, Portsmouth, Suffolk, Virgina Beach, and Williamsburg; and Charles City, Gloucester, Isle of Wight, James City, Surry, and York Counties, Virginia. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "Impact",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-11-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4743fe7e-942e-4bb5-b161-c98395b217ac}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Virginia Beach/Williamsburg, VA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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        "Virginia Beach/Williamsburg, VA",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
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        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "Virginia",
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        "Human"
      ],
      "modified": "2017-09-06",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
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      "accessLevel": "public",
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Virginia Beach/Williamsburg, VA EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
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      },
      "contactPoint": {
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        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{714edeba-8202-40e6-b738-72fd64ccd8e6}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-06-29",
          "endDate": "2017-06-29"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
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        "Environment",
        "Habitat",
        "Virginia Beach/Williamsburg, VA",
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        "Ecology",
        "Land Cover",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-76.86916 36.53924, -75.87687 36.53924, -75.87687 37.41207, -76.86916 37.41207, -76.86916 36.53924))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
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      ],
      "accrualPeriodicity": "irregular",
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/VBWVA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach, VA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). The 2011 Hampton Roads Water Supply Plan estimates for 2007 domestic water use were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 47 and 124 GPD for each of the 13 subregions in the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Virginia Beach, VA",
        "Drinking Water",
        "Environmental Atlas",
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      },
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.886426 36.550453, -75.867044 36.550453, -75.867044 37.401501, -76.886426 37.401501, -76.886426 36.550453))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-09-18",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
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        "Census Block Groups",
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        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2017-09-06",
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      },
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1719e72a-0067-4d87-9a8c-078255193831}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Virginia",
        "Human"
      ],
      "modified": "2017-12-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c0520b68-30c1-4d72-b208-726ec081bc60}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-12-21",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Green Space Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4b7c2ba4-4c40-4766-a84f-c5486c6204f3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2017-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7da9c116-87db-458a-95e3-fb9c6c763833}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.886426 36.550453, -75.867044 36.550453, -75.867044 37.401501, -76.886426 37.401501, -76.886426 36.550453))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-08-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5f1f469a-0e2e-44a9-bd84-e0208fab84d5}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3ff033c2-1d11-4dbf-aea7-f8bb8244bcc3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/VBWVA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1057 block groups in Virginia Beach/Williamsburg, VA. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Virginia",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2017-11-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{eab1bf2c-216a-48db-aadf-bf86b4c74e9a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-11-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Land Cover by Block Group",
      "description": "\"This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this community, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Virginia",
        "EnviroAtlas",
        "Natural Resources"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cff40031-bd71-4e16-a022-0229244b9f73}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Virginia Beach/Williamsburg, VA -- Meter-Scale Urban Land Cover (MULC)",
      "description": "The Virginia Beach, VA EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 3,724 km2 of southeast Virginia and includes Hampton, Newport News, Suffolk, Virginia Beach and Williamsburg. The area was selected based on the US Census Bureau's 2010 Urban Area for Virginia Beach, VA with a 1 km buffer added. These MULC data and maps are an adaptation of data developed in succession by three organizations. First, WorldView Solutions Inc., a contractor of the Virginia Geographic Information Network (VGIN), created an original dataset for the state of Virginia that used 6 inch to 1 foot-resolution, four-band (red, green, blue, and near-infrared), leaf-off imagery collected in 2013 for the Virginia Base Mapping Program, as well as 2015 VGIN LiDAR, and ancillary data inputs. These data did not fully capture tree canopy. Second, the Chesapeake Conservancy amended the original dataset using 2014, leaf-on United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) and 2010 and 2013 LiDAR data. The amendments added some of the tree canopy missing from the original data. Third, EPA amended the data further by collapsing multiple land cover classes into the seven EnviroAtlas Meter-scale Urban Land Cover (MULC) classes, and making corrections to the Wetlands classes, also using 2010 and 2013 LiDAR. Seven land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forest, Grass/Herbaceous Non-Woody Vegetation, Agriculture (Cultivated Crops) and Wetlands (Woody and Emergent). An analysis of 712 photo-interpreted land cover reference points yielded an overall user's accuracy of 83.5% (MAX) and an overall fuzzy user's accuracy of 84.1% (RIGHT) (see confusion matrices below). This dataset was produced by Virginia Geographic Information Network and their contractor WorldView Solutions Inc. (WSI), in collaboration with the Chesapeake Bay High-Resolution Land Cover Project - a cooperative agreement between the Chesapeake Conservancy and the National Park Service. It was adapted by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://enviroatlas.epa.gov/EnviroAtlas/DataFactSheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "Virginia"
      ],
      "modified": "2017-10-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{97ef08f1-4c48-499d-a5be-72b35824bc65}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.90198 36.530153, -75.85567 36.530153, -75.85567 37.421087, -76.90198 37.421087, -76.90198 36.530153))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-10-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/VBWVA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Estimated Tree Cover Along Busy Roads",
      "description": "'This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{dac224eb-d78d-43d1-8051-d1baa98e495c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{242a4ca4-babc-480d-98f6-cd3c5c962ae8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2020-01-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c4bf2c16-d35a-4d17-8a67-41c7a49e4ef6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2020-01-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "Virginia",
        "EnviroAtlas"
      ],
      "modified": "2020-01-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{8d84153a-ddc1-4092-bf41-5ce032bdcaf7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//VBWVA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{71eaf038-3e84-4dd5-bdd2-edb645d1227a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-06",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/VBWVA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Virginia Beach/Williamsburg, VA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Virginia Beach/Williamsburg, VA",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Virginia",
        "Trees",
        "EnviroAtlas",
        "Health"
      ],
      "modified": "2017-09-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4e3a91a2-5c0b-434c-90c1-c0325de54c8a}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-76.89034 36.55075, -75.86704 36.55075, -75.86704 37.4002, -76.89034 37.4002, -76.89034 36.55075))"
        }
      ],
      "temporal": [
        {
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
      "spatial": [
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      "rights": [
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      ],
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Projected Change in Precipitation by 12-Digit HUC for the U.S. Virgin Islands & Puerto Rico ",
      "description": "This dataset was assembled using statistically downscaled climate projections from the NASA Earth Exchange-Global Daily Downscaled Projections (NEX-GDDP) project. These climate change scenarios have been developed using global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and four different future scenarios, known as Shared Socioeconomic Pathways (SSPs). The four SSPs involved in this project are SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5.  The raw NEX-GDDP-CMIP6 data has a spatial resolution of 0.25 degrees and a daily temporal resolution. The NEX-GDDP-CMIP6 data was processed to calculate change in climatic variables for each season (fall, spring, summer, winter) and annually for 30-year periods. The five period comparisons available in the dataset are as follows: 1976-2005 to 2025-2054, 1976-2005 to 2045-2074, 1976-2005 to 2070-2099, 2025-2054 to 2045 to 2074, and 2025-2054 to 2070 to 2099. The six climatic variables included in the dataset are change in: total precipitation [in], total precipitation [%], total potential evapotranspiration [in], total potential evapotranspiration [%], maximum temperature [degF], and minimum temperature [degF]. This data was then used to produce an ensemble median of all available NEX-GDDP downscaled GCMs for each variable. Not all GCMs downscaled in NEX-GDDP had availability for every variable and scenario combination. The ensemble data was summarized by HUC-12 feature classes described above. \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheets (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
      "keyword": [
        "Ecosystem",
        "Climate",
        "Environment",
        "EnviroAtlas",
        "Ecosystem Services",
        "Risk",
        "12-digit HUCs",
        "Water",
        "Sustainability",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "geospatial",
        "Modeling",
        "U.S.Virgin Islands",
        "Hazards",
        "020:072",
        "Puerto Rico",
        "Human"
      ],
      "modified": "2024-08-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "2529A139-D0F3-4389-9E5E-D0D73DB43E73",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-68.007356 17.620205, -64.503829 17.620205, -64.503829 18.568128, -68.007356 18.568128, -68.007356 17.620205))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2099-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2024-08-15",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/VIPR_EnviroAtlas_NEXGDDP_fgdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/VIPR_EnviroAtlas_NEXGDDP_csv.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Waterbody area by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset depicts the total waterbody area by 12-digit HUC for the Conterminous US from the US Geological Survey's high-resolution National Hydrography Dataset (NHD). \n\nThis dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).\n",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Ecosystem Services",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "12-digit HUCs",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Surface Water",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2023-04-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development - Center for Public Health and Environmental Assessment (CPHEA), EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "5A89D040-6699-43D7-BF99-EACAFBEA7FF2",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.007244 22.868654, -65.25485 22.868654, -65.25485 51.64959, -128.007244 51.64959, -128.007244 22.868654))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-04-25",
          "endDate": "2016-04-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2023-04-12",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_CSV.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - HU12_polygon",
      "description": "This data set is a complete digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the entire United States. This data set consists of geo-referenced digital data and associated attributes created in accordance with the \"Federal Guidelines, Requirements, and Procedures for the National Watershed Boundary Dataset; Chapter 3 of Section A, Federal Standards, Book 11, Collection and Delineation of Spatial Data; Techniques and Methods 11-A3\" (04/01/2009). http://www.ncgc.nrcs.usda.gov/products/datasets/watershed/index.html . Polygons are attributed with hydrologic unit codes for 4th level sub-basins, 5th level watersheds, 6th level subwatersheds, name, size, downstream hydrologic unit, type of watershed, non-contributing areas and flow modification.",
      "keyword": [
        "Washington DC",
        "Oregon",
        "Sub-region",
        "South Dakota",
        "Montana",
        "Tennessee",
        "Kentucky",
        "Hawaii",
        "12-digit HUCs",
        "Florida",
        "Region",
        "Utah",
        "Alabama",
        "Ecology",
        "WBD",
        "Environmental Atlas",
        "Hydrologic Units",
        "New York",
        "Vermont",
        "Mississippi",
        "geospatial",
        "Modeling",
        "Surface Water",
        "Idaho",
        "Georgia",
        "Hydrologic Unit Code",
        "Massachusetts",
        "USA",
        "Basin",
        "South Carolina",
        "North Dakota",
        "EnviroAtlas",
        "Ohio",
        "boundaries",
        "Kansas",
        "North Carolina",
        "Washington",
        "HUC",
        "Indiana",
        "Sub-basin",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "Oklahoma",
        "Texas",
        "Alaska",
        "Ecosystem",
        "Delaware",
        "Iowa",
        "Ecosystem Services",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "United States",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Natural Resources",
        "Colorado",
        "Boundaries",
        "Nevada",
        "United States of America",
        "Rhode Island",
        "Minnesota",
        "Maine",
        "Environment",
        "Subwatershed",
        "Watershed",
        "Maryland",
        "Water",
        "Louisiana",
        "Arizona",
        "Watershed Boundaries",
        "HUC12",
        "West Virginia",
        "Pennsylvania",
        "Watershed Boundary Dataset",
        "California",
        "Virginia"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{C78DF01D-0446-4BA0-B504-F9527F3ED4DB}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: The distributor shall not be held liable for improper or incorrect use of this data, based on the description of appropriate/inappropriate uses described in this metadata document. It is strongly recommended that this data is directly ac"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/EnviroAtlas/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 2975 block groups in Washington, DC Metro region. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Washington, DC Metro region. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Washington, DC",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "District of Columbia"
      ],
      "modified": "2019-05-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3f40987c-0c1c-44e7-8c9b-56495149249f}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-05-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Census Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Washington, DC EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{75914521-e2ec-4d7b-959b-ee895f3b577c}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "Boundaries",
        "Demographics",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
        "District of Columbia"
      ],
      "modified": "2019-04-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ff153f71-b471-4fb8-b3ff-250b279d4a17}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-08",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - EnviroAtlas Community Boundary",
      "description": "This EnviroAtlas dataset shows the Washington, DC EnviroAtlas community boundary. It represents the outside edge of all the block groups included in the EnviroAtlas Community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "Boundaries",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{31488da1-c938-43e0-ba8a-628c01c40e72}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Tree Cover Configuration and Connectivity",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-11-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{b7ff4073-13bb-445f-9570-85906cccf24d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-11-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WDC_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Three reports were used with city- or water supply authority- level domestic water demand data, in addition to county level data. The 2011 Northern Virginia Regional Water Supply Plan provides detailed publicly, privately, and self supplied water use and population served for 2007 and covers most of the Virginia side of the EnviroAtlas study area. The 2011 Fauquier County Regional Water Supply Plan provides detailed publicly, privately, and self supplied water use and population served for 2007 and covers Fauquier County, Virginia. The 2010 Washington Metropolitan Area Water Supply Reliability Study, Part 1 from the Interstate Commission on the Potomac River Basin provides detailed publicly, privately, and self supplied water use and population served for 2008 by water supplier for suppliers drawing from the Potomac River. Data from these reports were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 25 and 204 GPD for each of the subregions in the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Demand for Ecosystem Services",
        "Washington, DC",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "District of Columbia",
        "Water"
      ],
      "modified": "2019-04-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{f8e97775-55bd-4817-904e-ed2c5353c009}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-16",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "Demographics",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-08",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{19cd5649-c9c8-4f3f-aa47-0590fcda3f08}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-08",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Flood",
        "Hazards",
        "Human",
        "District of Columbia"
      ],
      "modified": "2019-06-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{a8ddc470-d1b7-479b-8058-7e681f89958b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-06-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1beee8c1-61bb-471b-90aa-015bfd45cc88}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      },
      "issued": "2019-04-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-07-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cc9a9d4f-2c86-4909-8753-ec975f793c39}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-07-23",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{19cd5649-c9c8-4f3f-aa47-0590fcda3f08}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "District of Columbia"
      ],
      "modified": "2019-04-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{05b8fc4d-1112-4002-a4ab-17c3350161a0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-04-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WDC_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 2975 block groups in the Washington, DC Metro region. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for each block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Climate",
        "Washington, DC",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "District of Columbia",
        "Water"
      ],
      "modified": "2019-05-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ea617eb5-4ce8-4300-9849-a95131d0f3f4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2019-05-17",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this commmunity, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "District of Columbia"
      ],
      "modified": "2019-06-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{369170cc-ab2e-4647-b04a-5338ea2536f1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-06-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Washington DC -- Meter-Scale Urban Land Cover (MULC) Data (2013-2014)",
      "description": "The Washington DC EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises an area of 5423.43 km2 encompassing the entire area of Washington DC, and portions of the state of Maryland and state of Virginia. These MULC data and maps were derived from 1-m pixel, four-band (red, green, blue, and infrared light) leaf-on aerial photography acquired from the United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) as well as ancillary data (e.g., Lidar, National Wetlands Inventory [NWI], cropland, land parcels, power lines, building footprints). Eight land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Trees/Forest, Grass/Herbaceous, Agriculture, Woody Wetlands and Emergent Wetlands. Wetlands were delineated using the state wide wetlands data from National Wetlands Inventory (NWI) layer updated on October 15, 2018 (https://www.fws.gov/wetlands/Data/State-Downloads.html ). An analysis of 600 completely random and 111 stratified random photo-interpreted land cover reference points yielded a simple overall user's accuracy (MAX) of 85.4% and an overall fuzzy user's accuracy (RIGHT) of 91.5% within the census block group boundary (see confusion matrices below). These data were developed as part of the Chesapeake Bay High-Resolution Land Cover Project, a cooperative agreement between the Chesapeake Conservancy and the National Park Service, funded through an interagency agreement with the Environmental Protection Agency (EPA). The Chesapeake Conservancy, under the direction of Margaret Markham, created the initial statewide 1-meter land cover data. EPA added agriculture and wetlands taken from ancillary data sources. See detailed processing steps and workflow below. This dataset was produced by the Chesapeake Conservancy, the National Park Service, and the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Washington DC",
        "Environment",
        "Land",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Exposure",
        "Ecosystem Services",
        "Maryland",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Recreation",
        "Impact",
        "Natural Resources",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture",
        "Virginia"
      ],
      "modified": "2019-04-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6bb22dd7-3087-40b4-8969-a12a8bebe625}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.971493 38.355362, -76.645805 38.355362, -76.645805 39.430352, -77.971493 39.430352, -77.971493 38.355362))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-04-11",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WDC_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Estimated Tree Cover Along Busy Roads",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "District of Columbia"
      ],
      "modified": "2019-04-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ebc3b294-81b0-4728-b6df-c31cbd5803c1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Tree Cover Along Walkable Roads by Block Group",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health affects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "District of Columbia"
      ],
      "modified": "2019-04-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{db8fc412-4fd9-441b-b937-3f105d7dd26b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "District of Columbia"
      ],
      "modified": "2019-04-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{97502339-ee5e-4937-994a-1ae638481f2b}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-29",
      "language": [
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      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "District of Columbia"
      ],
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{438426b8-1ff5-4c75-9d09-4be8645d4229}",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
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          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2019-04-29",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. In this metric, water is also included in green space. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
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        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "District of Columbia"
      ],
      "modified": "2019-04-18",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1f3b92dd-ff2b-48fd-b8f4-782f97009fba}",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
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        {
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      ],
      "accrualPeriodicity": "irregular",
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      },
      "issued": "2019-04-18",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WDC_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
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      ],
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      "theme": [
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
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        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
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      "modified": "2019-04-10",
      "publisher": {
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      },
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      "accessLevel": "public",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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        }
      ],
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      ],
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      "distribution": [
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          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      },
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
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      ],
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          "description": "The URL providing direct access to the downloadable dataset. ",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
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      "accessLevel": "public",
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      ],
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      },
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      "theme": [
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        {
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          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "District of Columbia",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2019-04-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3894f10b-3f41-4df8-870a-719beb83030d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "District of Columbia",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2019-04-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7c563b9c-9efa-4fae-aa70-d3679dfc81ca}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Residents with Minimal Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees and forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "Demographics",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "District of Columbia"
      ],
      "modified": "2019-04-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{c465704f-18a2-4268-94b1-798d10eb2efa}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Washington, DC - Residents with Potential Window Views of Water by Block Group",
      "description": "This EnviroAtlas dataset describes the block group population and the percentage of the block group population that has potential views of water bodies. A potential view of water is defined as having a body of water that is greater than 300m2 within 50m of a residential location. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. The residential locations are defined using the EnviroAtlas Dasymetric (2011/October 2015) map. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Washington, DC",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "District of Columbia",
        "Water"
      ],
      "modified": "2019-04-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{e7a1aab9-567f-4dc6-9fe9-9c1cc0da8ade}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.86109 38.3645, -76.68178 38.3645, -76.68178 39.42125, -77.86109 39.42125, -77.86109 38.3645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services"
      },
      "issued": "2019-04-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WDC_metrics_Oct2019_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Land Cover in Areas of High Water Accumulation in 2011 for the Conterminous United States",
      "description": "This EnviroAtlas dataset contains Land Cover data by Wetness Index for each Watershed Boundary Dataset (WBD) 12-Digit Hydrologic Unit Code (HUC-12) of the conterminous United States, based on the National Land Cover Database (NLCD) from 2011, the December 30, 2009 Soil Survey Geographic (SSURGO) Database, and the USDA's Cropland Data Layer (CDL) data from 2011. The dataset includes the percentages of each HUC-12 belonging to several land cover groups that are on land with a Wetness Index greater than 550 (WET550). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Water",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Green Space",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Soils",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Agriculture",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-05-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{012F301F-3DE4-4195-BB53-AFA5215B7F59}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2006-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-05-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/ORD/ENVIROATLAS/National",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - BenMAP Results by Block Group",
      "description": "This EnviroAtlas dataset demonstrates the effect of changes in pollution concentration on local populations in 1 block group in Woodbine, Iowa. The US EPA's Environmental Benefits Mapping and Analysis Program (BenMAP) was used to estimate the incidence of adverse health effects (i.e., mortality and morbidity) and associated monetary value that result from changes in pollution concentrations for Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, and Summit Counties, OH. Incidence and value estimates for the block groups are calculated using i-Tree models (www.itreetools.org), local weather data, pollution data, and U.S. Census derived population data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Modeling",
        "Environment",
        "Trees",
        "Census Block Groups",
        "Ecosystem Services",
        "Exposure",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Impact",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2016-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B80563B5-28CD-49F8-A3A5-1F99FC6CC5D1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2000-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2016-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Woodbine, IA EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2014-07-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{B77B0C12-7ED7-42E5-8242-80BE0118D556}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-04-30",
          "endDate": "2014-04-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Demographics by Block Group",
      "description": "This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Society",
        "EnviroAtlas",
        "Human",
        "Woodbine, IA"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3F96AA99-82AA-4009-AE9B-E9C3D8848FC8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Atlas Area Boundary",
      "description": "This EnviroAtlas dataset shows the boundary of the Woodbine, IA Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Boundaries",
        "Environment",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2014-05-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{0F97C852-2BD1-4BC7-8B8F-24F2E550142E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-04-30",
          "endDate": "2013-04-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_Locations/MapServer"
      },
      "issued": "2014-05-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Tree Cover Configuration and Connectivity, Water Background",
      "description": "This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, forest is only trees & forest. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/research/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Habitat",
        "Ecosystem Services",
        "Ecology",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Infrastructure",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2015-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{5F3D2255-6EC8-437A-9DA5-82025680ED34}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-24",
          "endDate": "2015-03-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-05-20",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WIA_Conn_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Domestic Water Use per Day by U.S. Census Block Group",
      "description": "As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Water use in the EnviroAtlas-defined study area is estimated at 64 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "Demand for Ecosystem Services",
        "geospatial",
        "Utilities",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Ecology",
        "Drinking Water",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2014-10-28",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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      },
      "identifier": "{71AC4E10-EF6E-4361-A639-457F935A7B86}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-10-28",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Greenspace Around Schools by Block Group",
      "description": "This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2014-08-04",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{309723EA-AE33-4E78-A9E5-E7BE548DB8B8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-08-04",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - People and Land Cover in Floodplains by Block Group",
      "description": "This EnviroAtlas dataset describes the total counts and percentage of population, land area, and impervious surface in the 1% Annual Chance Flood Hazard area or 0.2% Annual Chance Flood Hazard area of each block group. The flood hazard area is defined by the National Flood Hazard Layer (NFHL) produced by the Federal Emergency Management Agency (FEMA, www.fema.gov). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
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        "Environment",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Demand for Ecosystem Services",
        "Demographics",
        "Census Block Groups",
        "Ecosystem Services",
        "Risk",
        "Woodbine, IA",
        "Water",
        "Floodplain",
        "Land Cover",
        "Environmental Atlas",
        "Human Well-being",
        "Communities",
        "geospatial",
        "Flood",
        "Hazards",
        "Human"
      ],
      "modified": "2017-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
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        "fn": "EnviroAtlas Coordinator",
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      },
      "identifier": "{810a1616-3c48-4780-bd69-a1f7b7baec14}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-01-30",
          "endDate": "2017-01-30"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2017-07-19",
      "language": [
        "en"
      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Greenspace Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. Water is shown as \"-99999\" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "Human Well-being",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2015-05-14",
      "publisher": {
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        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{49097AF8-2E87-4A0A-BA54-BEC1D8CB7AD1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-20",
          "endDate": "2015-03-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/GreenProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Historic Places by Census Block Group",
      "description": "This EnviroAtlas dataset portrays the total number of historic places located within each Census Block Group (CBG). The historic places data were compiled from the National Register of Historic Places, which provides official federal lists of districts, sites, buildings, structures and objects significant to American history, architecture, archeology, engineering, and culture. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Society",
        "Recreation",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2014-09-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F691D4AD-6BDA-496A-9D6F-87DCBA6242B1}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-09-16",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Impervious Proximity Gradient",
      "description": "In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of impervious surface within 1 square kilometer centered over the given point. Water is shown as '-99999' in this dataset to distinguish it from land areas with low impervious. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2015-05-14",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{33B9ED81-B266-4278-A608-33557AEA8A23}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-03-25",
          "endDate": "2015-03-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/ImpProx_AllCommunities/MapServer"
      },
      "issued": "2015-05-14",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Estimated Intersection Density of Walkable Roads",
      "description": "This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in the community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2019-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4E7173AD-5D8E-426A-9431-67FE34833523}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.73864 41.71377, -95.67509 41.71377, -95.67509 41.78499, -95.73864 41.78499, -95.73864 41.71377))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2019-06-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WIA_IntDen_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Ecosystem Services by Block Group",
      "description": "This EnviroAtlas dataset presents environmental benefits of the urban forest in 1 block group in Woodbine, Iowa. Carbon attributes, temperature reduction, pollution removal and value, and runoff effects are calculated for this block group using i-Tree models (www.itreetools.org), local weather data, pollution data, EPA provided city boundary and land cover data, and U.S. Census derived block group boundary data. This dataset was produced by the USDA Forest Service with support from The Davey Tree Expert Company to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "Air",
        "Climate",
        "geospatial",
        "Modeling",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Trees",
        "EnviroAtlas",
        "Water"
      ],
      "modified": "2015-06-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{65C2EF79-BEDB-4021-8D93-BD162E06FF7A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-06-18",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Agriculture",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Green Space",
        "EnviroAtlas",
        "Natural Resources",
        "Woodbine, IA"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6A323828-C19B-4D2C-848D-2636825B1744}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas -- Woodbine, IA -- Meter-Scale Urban Land Cover (MULC) Data (2011)",
      "description": "The EnviroAtlas Woodbine, IA Meter-Scale Urban Land Cover (MULC) data and map were generated from USDA NAIP (National Agricultural Imagery Program) four band (red, green, blue and near infrared) aerial photography from Late Summer 2011 at 1 m spatial resolution. Six land cover classes were mapped: water, impervious surfaces (dark and light), soil and barren land, trees and forest, grass and herbaceous non-woody vegetation, and agriculture. An accuracy assessment using a completely random sampling of 600 samples yielded an overall user's accuracy (MAX) of 87.03% and an overall fuzzy user's accuracy (RIGHT) of 90.23% using a minimum mapping unit of 9 pixels (3x3 pixel window). The area mapped is defined by the US Census Bureau's 2010 Urban Statistical Area for Woodbine. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Land",
        "Iowa",
        "EnviroAtlas",
        "Health",
        "Wetlands",
        "Biophysical",
        "Ecosystem Services",
        "Woodbine, IA",
        "Water",
        "Ecology",
        "Land Cover",
        "Environmental Atlas",
        "Green Space",
        "Impact",
        "Communities",
        "geospatial",
        "Surface Water",
        "Agriculture"
      ],
      "modified": "2017-09-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{F5ED8E1B-8772-4082-A38B-89810D7C7BA3}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-88.473227 30.144425, -84.888246 30.144425, -84.888246 35.008028, -88.473227 35.008028, -88.473227 30.144425))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-01-01",
          "endDate": "2011-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2017-09-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WIA_MULC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Near Road Tree Buffer",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{79DDF0BC-FBA4-4DA8-9CA8-BE6158C41F86}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/NrRd_PFor_AllCommunities/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Near Road Block Group Summary",
      "description": "This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a location without a sufficient tree buffer. Those populations are estimated here using dasymetric data calculated for the EnviroAtlas. There are potential negative health effects for those living in a location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Census Block Groups",
        "Ecosystem Services",
        "Quality",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2015-05-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1A94C72E-9AF7-42BC-B739-DD72BCF6476C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-05-19",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Park Access by Block Group",
      "description": "This EnviroAtlas dataset shows the block group population that is within and beyond an easy walking distance (500m) of a park entrance. Park entrances were included in this analysis if they were within 5km of the EnviroAtlas community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas",
        "Woodbine, IA"
      ],
      "modified": "2015-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{3DE7818E-F39B-4DB4-B24B-70D7FEC46723}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-10-01",
          "endDate": "2015-10-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-11-10",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Proximity to Parks",
      "description": "This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Woodbine",
        "Environment",
        "Ecosystem Services",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Recreation",
        "EnviroAtlas"
      ],
      "modified": "2020-01-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{667D6539-13C6-45A2-BD5B-80108BAA5213}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-08-20",
          "endDate": "2014-08-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/Park_Prox_AllCommunities/MapServer"
      },
      "issued": "2020-01-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Estimated Percent Green Space Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates green space along walkable roads. Green space within 25 meters of the road centerline is included and the percentage is based on the total area between street intersections. Green space provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2015-12-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{004E8C87-72EB-4A62-8AD3-333BCD795656}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-12-02",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WIA_PctStGS_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Estimated Percent Tree Cover Along Walkable Roads",
      "description": "This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Air",
        "geospatial",
        "Environment",
        "Transportation",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Health",
        "Woodbine, IA"
      ],
      "modified": "2015-08-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{2F091ED2-8A69-47AA-82B5-75A5A4FFABE4}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2015-08-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/WIA_PctStTC_tif.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - 15m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7336D0A4-C8A4-4EF5-B3CD-EC94226E8B2E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_For_AllCommunities/MapServer"
      },
      "issued": "2013-11-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - 15m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2014-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{A3B80653-E19F-45E8-94CE-C5B8861586DA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "9999-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB15m_Vege_AllCommunities/MapServer"
      },
      "issued": "2014-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - 51m Riparian Buffer Forest Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is forested. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2013-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{CAB72188-28B8-46FC-B476-BEB10AD62571}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_For_AllCommunities/MapServer"
      },
      "issued": "2013-11-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - 51m Riparian Buffer Vegetated Cover",
      "description": "This EnviroAtlas dataset describes the percentage of a 51-m riparian buffer that is vegetated. There is a potential for decreased water quality in areas where the riparian buffer is less vegetated. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "geospatial",
        "Environment",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2014-08-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{82528C2A-1E86-4BB4-B18D-CB15FEBF3AF6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/RB51m_Vege_AllCommunities/MapServer"
      },
      "issued": "2014-08-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Riparian Buffer Land Cover by Block Group",
      "description": "This EnviroAtlas dataset describes the percentage of different land cover types within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the Atlas Area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Woodbine, IA",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Surface Water",
        "Ecosystem Services",
        "Drinking Water",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Ground Water",
        "Impact",
        "EnviroAtlas",
        "Natural Resources",
        "Riparian",
        "Water"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{ABB74299-424B-428A-9DCA-016278A632DA}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-05-02",
          "endDate": "2014-05-02"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Woodbine, IA - Residents with Potential Window Views of Trees by Block Group",
      "description": "This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered \"potential\" because the procedure does not account for presence or directionality of windows in one's home. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "geospatial",
        "Demographics",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Land Cover",
        "Iowa",
        "Environmental Atlas",
        "Human Well-being",
        "Trees",
        "EnviroAtlas",
        "Natural Resources",
        "Woodbine, IA"
      ],
      "modified": "2014-07-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{1F599CEC-5D47-4BDF-938A-317B2533E85F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-95.7416 41.71539, -95.6722 41.71539, -95.6722 41.78347, -95.7416 41.78347, -95.7416 41.71539))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-06-20",
          "endDate": "2014-06-20"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2014-07-31",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Austin, TX - Block Groups",
      "description": "This EnviroAtlas dataset is the base layer for the Austin, TX EnviroAtlas area. The block groups are from the US Census Bureau and are included/excluded based on EnviroAtlas criteria described in the procedure log. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "Communities",
        "Texas",
        "geospatial",
        "Environment",
        "Census Block Groups",
        "Ecosystem Services",
        "Austin, TX",
        "Environmental Atlas",
        "EnviroAtlas"
      ],
      "modified": "2015-10-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{801C059A-FD0C-4A4A-B7BA-0FE3F7054B3E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-98.007554 30.095348, -97.488224 30.095348, -97.488224 30.772723, -98.007554 30.772723, -98.007554 30.095348))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://enviroatlas.epa.gov/arcgis/rest/services/Communities/Community_BGmetrics/MapServer"
      },
      "issued": "2015-10-09",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download//WIA_metrics_Apr2020_CSV_Shapes.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Annual average potential wind energy resource by 12-digit HUC for the Conterminous United States",
      "description": "This EnviroAtlas dataset shows the annual average potential wind energy resource in kilowatt hours per square meter per day for each 12-digit Hydrologic Unit (HUC). It was produced using data from the National Renewable Energy Laboratory (NREL). These estimates represent wind resources at a 10 meter height above surface. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "12-digit HUCs",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Energy",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Natural Resources",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{7717f3ed-6ab2-4465-b36b-03040c1f2eaf}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2001-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas/enviroatlas-data"
      },
      "issued": "2016-06-13",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://enviroatlas.epa.gov/download/CONUS_metrics_FGDB.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Watershed Index Online Hydrologically Connected Zone Mask for the Conterminous United States",
      "description": "The Hydrologically Connected Zone (HCZ) Mask was determined using grid analysis to combine surface water features in the United States from three datasets: First, the surface water features were extracted from the 2019 National Land Cover Database (NLCD) produced by the Multi-Resolution Land Characteristics Consortium. Features included are 'Open Water' (code 11), 'Woody Wetlands' (code 90) and 'Emergent Herbaceous Wetlands' (code 95). Second, the flowline and waterbody features as represented in the catseed grid from the National Hydrography Dataset (NHD) Plus version 2.1. Third, all areas contiguous to surface water that also have a wetness index value of 550 or greater. The wetness index, also known as the compound topographic index (CTI), is a steady state wetness index. It is commonly used to quantify topographic control on hydrological processes. The combination of these three datasets represents the Hydrologically Connected Zone. This dataset was produced by the US EPA to support research and online mapping activities related to the Watershed Index Online (WSIO) and EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "Riparian",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-06-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{cc8c85ea-1944-40f8-8513-ce7ad82fe4a7}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2022-06-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://gispub.epa.gov/arcgis/rest/services/r4/HCZ/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Watershed Index Online Riparian Zone Mask for the Conterminous United States",
      "description": "The Riparian Zone Mask represents surface water in the United States and its estimated riparian zone. These areas were determined using grid analysis of an approximate 100 meter buffer placed around the combined surface water features of the 2019 National Land Cover Database (NLCD) produced by the Multi-Resolution Land Characteristics Consortium and the 1:100,000 scale National Hydrography Dataset (NHD) Plus version 2.1. Features from NLCD included are 'Open Water' (code 11), 'Woody Wetlands' (code 90) and 'Emergent Herbaceous Wetlands' (code 95). The combination of these two datasets and all cells with a distance of 108 meters or less from surface water are included in the Riparian Zone (RZ). This dataset was produced by the US EPA to support research and online mapping activities related to the Watershed Index Online (WSIO) and EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "Riparian",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-06-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{6b37a605-0e72-48be-915e-7f9d09fb9ff2}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
      },
      "issued": "2022-06-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://gispub.epa.gov/arcgis/rest/services/r4/RZ/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EnviroAtlas - Watershed Index Online Water Mask for the Conterminous United States",
      "description": "This data layer represents all surface water features in the United States. This grid was created by combining water features identified in two sources, the 2019 National Land Cover Database (NLCD), and the National Hydrography Dataset (NHD Plus version 2.1). First, the surface water features were extracted from the 2019 NLCD produced by the Multi-Resolution Land Characteristics Consortium. Features included are 'Open Water' (code 11), 'Woody Wetlands' (code 90) and 'Emergent Herbaceous Wetlands' (code 95).The second source used was the flowline and waterbody features as represented in the catseed grid from the NHD Plus version 2.1. The combination of these two datasets represents surface water and is referred to as the 'Water Mask.' This dataset was produced by the US EPA to support research and online mapping activities related to the Watershed Index Online (WSIO) and EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "EnviroAtlas",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Wetlands",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Water",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Land Cover",
        "Wisconsin",
        "Environmental Atlas",
        "Arkansas",
        "Management",
        "New Mexico",
        "Michigan",
        "New York",
        "Colorado",
        "Natural Resources",
        "Oklahoma",
        "Mississippi",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Surface Water",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2022-06-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EnviroAtlas Coordinator",
        "hasEmail": "mailto:EnviroAtlas@epa.gov"
      },
      "identifier": "{4651b523-0d9f-4165-adb7-7e82c64e384d}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "2019-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviroatlas"
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      "issued": "2022-06-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://gispub.epa.gov/arcgis/rest/services/r4/WaterMask/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "USEPA Environmental Quality Index (EQI) and Associated Domain Indices by County for the United States 2000-2005 Original",
      "description": "The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built environment, and sociodemographic environment). Indices are at the county level for all counties in the United States. Indices are at the county level for all counties in the United States for 2000-2005.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-06-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "identifier": "53AE6A65-E2C4-4B84-B012-66BC473F5C04",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2005-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2016-06-22",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/NHEERL/EQI",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "USEPA Environmental Quality Index (EQI) - Air, Water, Land, Built, and Sociodemographic Domains Non-Transformed Variables Dataset as Input for the 2000-2005 USEPA EQI, by County for the United States",
      "description": "The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized non-transformed variables chosen to represent the Air, Water, Land, Built, and Sociodemographic Domains of the total environment. This does not represent the final variables for the EQI. The Transformed dataset was used to create the EQI. This dataset is for information purposes only for those who want to see the original non-transformed variables.Six criteria air pollutants and 81 hazardous air pollutants are included in this dataset. Data sources are the EPA's Air Quality system (https://www.epa.gov/ttn/airs/airsaqs/) and the National-scale Air Toxics Assessment (https://www.epa.gov/nata/). Variables are average pollutant concentrations or emissions for 2000-2005 at the county level for all counties in the United States. Data on water impairment, waste permits, beach closures, domestic water source, deposition for 9 pollutants, drought status, and 60 chemical contaminants. Data sources are the EPA's WATERS (Watershed Assessment, Tracking and Environmental ResultS) Database (https://www.epa.gov/waters/), the U.S. Geological Survey Estimates of Water Use in the U.S. for 2000 and 2005 (https://water.usgs.gov/watuse/), the National Atmospheric Deposition Program (http://nadp.sws.uiuc.edu/), the U.S. Drought Monitor Data (http://droughtmonitor.unl.edu/), and the EPA's National Contaminant Occurrence Database (https://water.epa.gov/scitech/datait/databases/drink/ncod/databases-index.cfm). Variables are calculated for the time period from 2000-2005 at the county level for all counties in the United States. Data represents traffic safety, public transportation, road type, the business environment and public housing. Data sources are the Dun and Bradstreet North American Industry Classification System (NAICS) codes; Topologically Integrated Geographic Encoding and Referencing (TIGER); Fatality Annual Reporting System (FARS); and Housing and Urban Development (HUD) data. This dataset contains the finalized variables chosen to represent the sociodemographic domain of the total environment. Data represents socioeconomic and crime conditions. Data sources are the United States Census and the Federal Bureau of Investigation Uniform Crime Reports. Variables are calculated for the time period from 2000-2005 at the county level for all counties in the United States.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "Pesticides",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-05-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "identifier": "6C622625-F820-47AA-9838-C4762AA1B916",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2005-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2013-05-21",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/NHEERL/EQI",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "USEPA Environmental Quality Index (EQI) - Air, Water, Land, Built, and Sociodemographic Domains Transformed Variables Dataset as Input for the 2000-2005 USEPA EQI, by County for the United States",
      "description": "The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized transformed variables chosen to represent the Air, Water, Land, Built, and Sociodemographic Domains of the total environment.Six criteria air pollutants and 81 hazardous air pollutants are included in this dataset. Data sources are the EPA's Air Quality system (https://www.epa.gov/ttn/airs/airsaqs/) and the National-scale Air Toxics Assessment (https://www.epa.gov/nata/). Variables are average pollutant concentrations or emissions for 2000-2005 at the county level for all counties in the United States. Data on water impairment, waste permits, beach closures, domestic water source, deposition for 9 pollutants, drought status, and 60 chemical contaminants. Data sources are the EPA's WATERS (Watershed Assessment, Tracking and Environmental ResultS) Database (https://www.epa.gov/waters/), the U.S. Geological Survey Estimates of Water Use in the U.S. for 2000 and 2005 (https://water.usgs.gov/watuse/), the National Atmospheric Deposition Program (http://nadp.sws.uiuc.edu/), the U.S. Drought Monitor Data (http://droughtmonitor.unl.edu/), and the EPA's National Contaminant Occurrence Database (https://water.epa.gov/scitech/datait/databases/drink/ncod/databases-index.cfm). Variables are calculated for the time period from 2000-2005 at the county level for all counties in the United States. Data represents traffic safety, public transportation, road type, the business environment and public housing. Data sources are the Dun and Bradstreet North American Industry Classification System (NAICS) codes; Topologically Integrated Geographic Encoding and Referencing (TIGER); Fatality Annual Reporting System (FARS); and Housing and Urban Development (HUD) data. This dataset contains the finalized variables chosen to represent the sociodemographic domain of the total environment. Data represents socioeconomic and crime conditions. Data sources are the United States Census and the Federal Bureau of Investigation Uniform Crime Reports. Variables are calculated for the time period from 2000-2005 at the county level for all counties in the United States.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "Pesticides",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-05-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory (NHEERL)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
      "identifier": "7F1AAA3A-4950-490B-B809-EB49F77D55DB",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2005-12-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2013-05-21",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/NHEERL/EQI",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): ER_CERCLIS",
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        "Environmental Management",
        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Montana",
        "Tennessee",
        "Kansas",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Washington",
        "Nebraska",
        "Connecticut",
        "Remediation",
        "Compliance",
        "Maryland",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "conterminous United States (CONUS)",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "United States (US) (USA)",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Virgin Islands",
        "Alaska",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
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        "Idaho",
        "California",
        "Georgia",
        "Utah",
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        "Massachusetts",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "title": "EPA Facility Registry Service (FRS): ER_CHEMICALS",
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      "title": "EPA Facility Registry Service (FRS): ER_CONTACTS",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
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        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
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        "Colorado",
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        "Alaska",
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        "Hawaii",
        "Illinois",
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        "Alabama",
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        "Michigan",
        "Oklahoma",
        "Colorado",
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        "Alaska",
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        "Virgin Islands",
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        "geospatial",
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        "Rhode Island",
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        "Idaho",
        "California",
        "Georgia",
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      "title": "EPA Facility Registry Service (FRS): FRS_ESF10",
      "description": "This web service contains the following layers: RMP, TRI, FRP, RCRATSD, CERCLIS, TSCA, and E-PLAN facilities and their associated CONTACTS, CHEMICALS, NAIP, SIC, and STATE IDs information. Layers are drawn at scale of 1: 18,489,297 and lower. Data used to create this web service are available as a separate download at the Secondary Linkage listed above. Full FGDC metadata records for each layer may be found by clicking the layer name in the web service table of contents (available through the online link provided above) and viewing the layer description. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
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    {
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      "description": "This web service contains the following layers: WWTP -NPDES and WTP. The WWTP-NPDES facilties have associated CONTACTS, NAIP, SIC, and STATE IDs information. Layers are drawn at a scale of 1: 2311162.217155 and larger. Data used to create this web service are available as a separate download at the Secondary Linkage listed above. Full FGDC metadata records for each layer may be found by clicking the layer name in the web service table of contents (available through the online link provided above) and viewing the layer description.",
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    {
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      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Bureau of Indian Affairs (BIA) school data on Indian land. The BIA is responsible for the administration and management of 55.7 million acres of land held in trust by the United States for American Indians, Indian Tribes, and Alaska natives and provides education services to approximately 48,000 Indian students. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to the BIA school facilities once the BIA Indian School dataset has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.",
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    },
    {
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      "title": "FRS_INTERESTS_EIS",
      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Emission Inventory System (EIS). The Emission Inventory System (EIS) maintains an inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters. It contains information about facility sites and their physical location, emission units, emission processes, release points, control approaches, and regulations. Facility inventory data are kept separate from the emissions data and have stable identifiers to improve continuity from year to year and to help identify duplicate or missing facilities. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.  Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs",
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        "Air",
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      "title": "EPA Facility Registry Service (FRS): Facility Interests Dataset Download",
      "description": "This downloadable data package consists of location and facility identification information from EPA's Facility Registry Service (FRS) for all sites that are available in the FRS individual feature layers. The layers comprise the FRS major program databases, including: Assessment Cleanup and Redevelopment Exchange System (ACRES) : brownfields sites ; Air Facility System (AFS) : stationary sources of air pollution ; ICIS-AIR (AIR) : stationary sources of air pollution;  Bureau of Indian Affairs (BIA) : schools data on Indian land; Base Realignment and Closure (BRAC) facilities; Clean Air Markets Division Business System (CAMDBS) :  market-based air pollution control programs;  Comprehensive Environmental Response, Superfund Enterprise Management System (SEMS): hazardous waste sites; Integrated Compliance Information System (ICIS) : integrated enforcement and compliance information; National Compliance Database (NCDB) : Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) and the Toxic Substances Control Act (TSCA); National Pollutant Discharge Elimination System (NPDES) module of ICIS : NPDES surface water permits; Radiation Information Database (RADINFO) : radiation and radioactivity facilities; RACT/BACT/LAER Clearinghouse (RBLC) : best available air pollution technology requirements; Resource Conservation and Recovery Act Information System (RCRAInfo) : tracks generators, transporters, treaters, storers, and disposers of hazardous waste; Toxic Release Inventory (TRI) : certain industries that use, manufacture, treat, or transport more than 650 toxic chemicals; Emission Inventory System (EIS) : inventory of large stationary sources and voluntarily-reported smaller sources of air point pollution emitters; countermeasure (SPCC) and facility response plan (FRP) subject facilities; Electronic Greenhouse Gas Reporting Tool (E-GGRT) : large greenhouse gas emitters; Emissions and; Generation Resource Integrated Database (EGRID) : power plants. The Facility Registry Service (FRS) identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the FRS facilities that link to the programs listed above once the program data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.  Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record.  Full FGDC metadata records for each layer are contained in the database.",
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        "OK-FMS",
        "RI-PLOVER",
        "SDWIS",
        "SWIS",
        "NM-TEMPO",
        "Drinking Water",
        "RADINFO",
        "AIRS/AQS",
        "MA-EPICS",
        "HI-UST",
        "geospatial",
        "PA-EFACTS",
        "FDM",
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        "NV-FP",
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        "FRS",
        "KS-FP",
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        "NCDB",
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        "AIRS/AFS",
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        "UST",
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        "MD-RCRA",
        "UORS",
        "NEI",
        "MS-ENSITE",
        "HEER-FRS",
        "Facilities",
        "ECRM",
        "SC-EFIS",
        "AZURITE",
        "IN-FRS",
        "MT-CEDARS",
        "PDS",
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        "HI-SW",
        "TBA",
        "PERMIT TRACKING",
        "MN-DELTA",
        "CNFRS",
        "IDNR_EFD",
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        "HI-ECS",
        "TRIS",
        "TSCA",
        "RFS",
        "NJ-NJEMS",
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        "TX-TCEQ ACR",
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        "MD-PEMIS",
        "NH-DES",
        "DTSC-ENVIROSTOR",
        "MD-EPSC",
        "NE-IIS",
        "HWTS-DATAMART",
        "Air",
        "IUR",
        "CASWIS",
        "LA-TEMPO",
        "CIM",
        "CEDS",
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      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Integrated Compliance Information System (ICIS). When complete, ICIS will provide a database that will contain integrated enforcement and compliance information across most of EPA's programs. The vision for ICIS is to replace EPA's independent databases that contain enforcement data with a single repository for that information. Currently, ICIS contains all Federal Administrative and Judicial enforcement actions and a subset of the Permit Compliance System (PCS), which supports the National Pollutant Discharge Elimination System (NPDES). ICIS exchanges non-sensitive enforcement/compliance activities, non-sensitive formal enforcement actions and NPDES information with FRS. This web feature service contains the enforcement/compliance activities and formal enforcement action related facilities; the NPDES facilities are contained in the PCS_NPDES web feature service. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to ICIS non-sensitive enforcement/compliance activities and formal enforcement actions once the ICIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.",
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    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): RADINFO",
      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Radiation Information Database (RADINFO). RADINFO contains information about facilities that are regulated by EPA for radiation and radioactivity. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RADINFO facilities once the RADINFO data has been integrated into the FRS database.  Additional information on FRS is available at the EPA website http://www.epa.gov/enviro/html/fii/index.html",
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      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the RACT/BACT/LAER Clearinghouse (RBLC). The RBLC database contains case-specific information on the air pollution technologies that have been required to reduce the emission of air pollutions from stationary sources. RACT, or Reasonably Available Control Technology, is required on existing sources in areas that are not meeting national ambient air quality standards. BACT, or Best Available Control Technology, is required on major new or modified sources in clean areas. LAER, or Lowest Achievable Emission Rate, is required on major new or modified sources in non-attainment areas. FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RBLC facilities once the RBLC data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.",
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      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of Hazardous Waste Treatment, Storage, and Disposal (TSD) facilities that link to the Resource Conservation and Recovery Act Information System (RCRAInfo). EPA's comprehensive information system in support of the Resource Conservation and Recovery Act (RCRA) of 1976 and the Solid Waste Amendments (HSWA) of 1984, RCRAInfo tracks many types of information about generators, transporters, treaters, storers, and disposers of hazardous waste.  A TSD Facility performs one or more of the following functions: \nTreatment: Any method, technique, or process, including neutralization, designed to change the physical, chemical or biological character or composition of any hazardous waste so as to neutralize such waste, or so as to recover energy or material resources from the waste, or so as to render such waste non-hazardous, or less hazardous; safer to transport, store or dispose of; or amenable for recovery, amenable for storage, or reduced in volume. \nStorage: The holding of hazardous waste for a temporary period, at the end of which the hazardous waste is treated, disposed of, or stored elsewhere. \nDisposal: The discharge, deposit, injection, dumping, spilling, leaking, or placing of any solid waste or hazardous waste into or on any land or water so that such solid waste or hazardous waste or any constituent thereof may enter the environment or be emitted into the air or discharged into any waters, including groundwaters. \nFRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RCRAInfo hazardous waste TSD facilities once the RCRAInfo data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs",
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        "fn": "FRS Support",
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      "accessLevel": "public",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "distribution": [
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      "accessRights": "public"
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    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): RMP",
      "description": "This web feature service contains location and facility identification information from EPA's Facility Registry Service (FRS) for the subset of facilities that link to the Risk Management Plan (RMP) System. The Risk Management Plan (RMP) database stores the risk management plans reported by companies that handle, manufacture, use, or store certain flammable or toxic substances, as required under section 112(r) of the Clean Air Act (CAA). FRS identifies and geospatially locates facilities, sites or places subject to environmental regulations or of environmental interest. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to RMP facilities once the RMP data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs.",
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      "bureauCode": [
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      "title": "EPA Facility Registry Service (FRS): SEMS",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Oil Capacity ",
      "description": "This dataset contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that are active oil facilities.  It includes aboveground Oil storage containers and buried Oil storage containers. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.   Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
      "keyword": [
        "Environmental Management",
        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "ESF10",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
        "Compliance",
        "United States",
        "Maryland",
        "Cleanup",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "conterminous United States (CONUS)",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "United States (US) (USA)",
        "Michigan",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Massachusetts",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Resources",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "FRS Support",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
      "identifier": "19657FFD-AD12-42EC-A9BB-4DB51130E03C",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-170.6855 -14.2738, 144.783 -14.2738, 144.783 64.997222, -170.6855 64.997222, -170.6855 -14.2738))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-12-12",
          "endDate": "2020-12-12"
        }
      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2016-06-29",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Oil Compliance Activity ",
      "description": "This dataset contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that contain Oil compliance inspection activities for all active Oil facilities. It includes inspection start date, end date and outcome information. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.   Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
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        "Maine",
        "Virginia",
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        "North Dakota",
        "Facilities",
        "Iowa",
        "ESF10",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
        "Compliance",
        "United States",
        "Maryland",
        "Cleanup",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "conterminous United States (CONUS)",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "United States (US) (USA)",
        "Michigan",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Massachusetts",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Resources",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-06-29",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
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        "fn": "FRS Support",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
      "identifier": "9435C4C0-7F1A-49E1-BDB4-075FE90638FA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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        }
      ],
      "temporal": [
        {
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          "startDate": "2020-12-12",
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      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2016-06-29",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Oil Discharge History",
      "description": "This dataset contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that are active oil facilities. It contains Oil incidents information for all active Oil facilities. It includes incident cause, type, location and volume. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.   Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
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        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "ESF10",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
        "Compliance",
        "United States",
        "Maryland",
        "Cleanup",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "conterminous United States (CONUS)",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "United States (US) (USA)",
        "Michigan",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Massachusetts",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Resources",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "FRS Support",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
      "identifier": "0F10E744-36AB-416A-AE99-BACDD67536C6",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
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        }
      ],
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      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2016-06-29",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): FRP",
      "description": "This dataset contains location and facility identification information from EPA's Facility Registry System (FRS) for the subset of facilities that are active oil facilities subject to FRP. It includes FRP id, harm/determination category, OSRO, and harm factors,  Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.   Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
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        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "ESF10",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
        "Compliance",
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        "Cleanup",
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        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "conterminous United States (CONUS)",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "United States (US) (USA)",
        "Michigan",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Massachusetts",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Resources",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "FRS Support Team",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
      "identifier": "5559DF41-944C-45F7-9E18-7CF0BBB165B5",
      "accessLevel": "restricted public",
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      "spatial": [
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        }
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      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2016-06-29",
      "distribution": [],
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): OIL OSRO",
      "description": "This dataset contains OSRO information from EPA's Facility Registry System (FRS) for the subset of facilities that are active oil facilities subject to FRP. Using vigorous verification and data management procedures, FRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities.   Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. Data Dictionary available: https://ordsext.epa.gov/FLA/www3/ESF10_Supplemental_Metadata.docx",
      "keyword": [
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        "Delaware",
        "Contaminant",
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        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "ESF10",
        "Ohio",
        "Emergency Response",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Washington",
        "Connecticut",
        "Remediation",
        "Compliance",
        "United States",
        "Maryland",
        "Cleanup",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "conterminous United States (CONUS)",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "United States (US) (USA)",
        "Michigan",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Massachusetts",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Resources",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2016-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "National Geospatial Support Team",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "CE7FF749-3393-4A28-9853-C5C3F98C069D",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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        }
      ],
      "temporal": [
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          "endDate": "2020-12-12"
        }
      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2016-06-29",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Power Plants",
      "description": "This GIS dataset contains data on power plants, based on the Energy Information Administration's EIA-860 dataset and supplemented with data from EPA's Facility Registry Service (FRS) compiled from various EPA programs.",
      "keyword": [
        "geospatial",
        "Facilities",
        "United States",
        "020:072"
      ],
      "modified": "2025-06-03",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "FRS Support Team",
        "hasEmail": "mailto:FRS_Support@epa.gov"
      },
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      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "accrualPeriodicity": "R/P1W",
      "describedBy": {
        "accessURL": "https://www.epa.gov/frs/frs-physical-data-model"
      },
      "issued": "2025-06-03",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Zipped file geodatabase",
          "downloadURL": "https://edg.epa.gov/data/Public/OEI/FRS/FRS_PowerPlants.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/about-office-information-management-oim",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "title": "Web Map Service",
          "accessURL": "https://gispub.epa.gov/arcgis/rest/services/OEI/FRS_PowerPlants/MapServer",
          "description": "ArcGIS Server Map/Feature Service",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "title": "Homepage",
          "accessURL": "https://www.epa.gov/frs",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Wastewater Treatment Plants",
      "description": "This GIS dataset contains data on wastewater treatment plants, based on EPA's Facility Registry Service (FRS) and NPDES, along with Clean Watersheds Needs Survey (CWNS) and other data sources.",
      "keyword": [
        "Contaminant",
        "geospatial",
        "Waste",
        "Cleanup",
        "Surface Water",
        "Drinking Water",
        "Facilities",
        "Ground Water",
        "020:072",
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        "Water"
      ],
      "modified": "2026-08-09",
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      },
      "identifier": "epa-facility-registry-service-frs-wastewater-treatment-plants",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Registry Service (FRS): Wastewater Treatment Plants",
      "description": "This GIS dataset contains data on wastewater treatment plants, based on EPA's Facility Registry Service (FRS) and NPDES, along with Clean Watersheds Needs Survey (CWNS) and other data sources.",
      "keyword": [
        "Contaminant",
        "geospatial",
        "Waste",
        "Cleanup",
        "Surface Water",
        "Drinking Water",
        "Facilities",
        "Ground Water",
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      ],
      "modified": "2022-05-20",
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      },
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Air Quality Flags Program, U.S., 2017, EPA/OAR/OAQPS/OID",
      "description": "This map service contains participants in EPA's Air Quality Flags Program. The map service also includes the current day's AQI forecast for each participant in the program. The Air Quality Flag Program alerts organizations to the local air quality forecast and helps them to take actions to protect people’s health, including those with asthma. Here's how it works: each day your organization raises a flag that corresponds to how clean or polluted the air is. The color of the flag matches EPA's Air Quality Index (AQI): green, yellow, orange, red, and purple. On unhealthy days, your organization can use this information to adjust physical activities to help reduce exposure to air pollution, while still keeping people active.",
      "keyword": [
        "geospatial",
        "Facilities",
        "Air",
        "United States"
      ],
      "modified": "2017-04-20",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation-Office of Air Quality Planning and Standards"
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        "fn": "Brian Stitt",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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    {
      "@type": "dcat:Dataset",
      "title": "Air Quality System (AQS) Monitoring Network, EPA OAR OAQPS",
      "description": "This GIS dataset contains points which depict air quality monitors within EPA's Air Quality System (AQS) monitoring network. This dataset is updated weekly to reflect the most recent changes in the monitoring network. The monitors are generally operated by State, local, and tribal air pollution control agencies using procedures specified by the U.S. EPA. These agencies collect the data, quality assure it, and then submit it to the EPA Air Quality System (AQS). The GIS dataset includes monitor information and links to download historic air quality data at each monitor.",
      "keyword": [
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        "Washington DC",
        "Maine",
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        "Virginia",
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        "North Dakota",
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        "New Hampshire",
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        "New Mexico",
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        "Mississippi",
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "title": "All Landfills in LMOP Database with Coordinates",
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        "name": "U.S. EPA Landfill Methane Outreach Program"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      ],
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      "accrualPeriodicity": "R/P3M",
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    {
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      "title": "Reported Neuroinvasive Cases of West Nile Virus by State, 2002–2023",
      "description": "This map shows the average annual incidence of neuroinvasive West Nile virus disease in each state, which is calculated as the average number of new cases per 100,000 people per year from 2002 to 2023. The map is based on cases that local and state health departments report to CDC’s national disease tracking system. Neuroinvasive cases are those that affect the brain or cause neurologic dysfunction. For more information: www.epa.gov/climate-indicators",
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      "issued": "2024-12-23",
      "distribution": [],
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    },
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      "title": "Frequency of Flooding Along U.S. Coasts, 2014–2023 Versus 1950–1959",
      "description": "This map shows the average number of days per year in which coastal waters rose above the local threshold for minor flooding at 33 sites along the U.S. coast. Each small bar graph compares the first decade of widespread measurements (the 1950s in orange) with the most recent decade (the 2010s in purple). For more information: www.epa.gov/climate-indicators",
      "keyword": [
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      ],
      "modified": "2024-06-14",
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      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Average Change in Drought (Five-Year SPEI) in the Contiguous 48 States, 1900–2020",
      "description": "This map shows how drought conditions have changed across the contiguous 48 states from 1900 to 2020. The data are showed for small regions called climate divisions, as defined by the National Oceanic and Atmospheric Administration. Blue areas represent increased moisture; brown areas represent a decrease or drier conditions. For more information: https://www.epa.gov/climatechange/science/indicators.",
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      "accessLevel": "public",
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      "accrualPeriodicity": "irregular",
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        "accessURL": "https://www.epa.gov/climatechange/science/indicators"
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      "distribution": [
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/Drought/MapServer",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Geologic Basin Boundaries (Basins_GHGRP) GIS Layer",
      "description": "This is a coverage shapefile of geologic basin boundaries which are used by EPA's Greenhouse Gas Reporting Program. For onshore production, the \"facility\" includes all emissions associated with wells owned or operated by a single company in a specific hydrocarbon producing basin (as defined by the geologic provinces published by the American Association of Petroleum Geologists). This layer is limited to the contiguous United States.",
      "keyword": [
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        "geospatial",
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      "modified": "2017-01-18",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation-Office of Air Quality Planning and Standards"
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        "fn": "Jennifer Bohman",
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      "identifier": "19F20B68-AEBC-4A16-A59B-BFF5ECB5EEED",
      "accessLevel": "public",
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      "spatial": [
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          "bbox": "POLYGON((-126.73828125 24.5271348226, -62.05078125 24.5271348226, -62.05078125 50.0641917367, -126.73828125 50.0641917367, -126.73828125 24.5271348226))"
        }
      ],
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          "@type": "PeriodOfTime",
          "startDate": "2017-01-18",
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      "issued": "2017-01-18",
      "distribution": [
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          "downloadURL": "https://edg.epa.gov/data/Public/OAR/OAP/Basins_Shapefile.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Glacier Surface Area in Glacier National Park, 1966–2015",
      "description": "This map shows the change in surface area of all 37 named glaciers in Glacier National Park for 1966, 1998, 2005, and 2015. The glacier footprints for four different years are laid on top of each other: 2015 is red, 2005 and 1998 are shades of orange, and 1966 is yellow.",
      "keyword": [
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        "Montana",
        "geospatial",
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      ],
      "modified": "2018-08-22",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
      },
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        "fn": "Michael Kolian",
        "hasEmail": "mailto:kolian.michael@epa.gov"
      },
      "identifier": "68C2F591-D80C-44B7-8BBC-E3231FC27B7A",
      "accessLevel": "public",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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          "bbox": "POLYGON((-114.475516 48.233688, -113.241977 48.233688, -113.241977 49.000971, -114.475516 49.000971, -114.475516 48.233688))"
        }
      ],
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "1966-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
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      "issued": "2018-08-22",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Growing Degree Days in the Contiguous 48 States, 1948–2020",
      "description": "This map shows trends in the total number of growing degree days per year at 305 weather stations . The color and size of the symbols represent percent change between 1948 and 2020, based on the long-term average rate of change. For more information: https://www.epa.gov/climatechange/science/indicators.",
      "keyword": [
        "Indicator",
        "Climate",
        "020:033",
        "geospatial",
        "Degree-Day",
        "Plant",
        "Pollen",
        "United States",
        "Downloadable Data"
      ],
      "modified": "2026-05-20",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
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      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
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          "@type": "Location",
          "bbox": "POLYGON((-124.3539 26.1019, -70.1564 26.1019, -70.1564 48.9672, -124.3539 48.9672, -124.3539 26.1019))"
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      ],
      "describedBy": {
        "accessURL": "https://www.epa.gov/climatechange/science/indicators"
      },
      "distribution": [
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          "@type": "dcat:Distribution",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/GrowingDegreeDays/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Length of Growing Season, 1895–2023",
      "description": "This indicator looks at the impact of temperature on the length of the growing season in the contiguous 48 states, as well as trends in the timing of spring and fall frosts. For more information: https://www.epa.gov/climate-indicators.",
      "keyword": [
        "geospatial",
        "Climate",
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        "climatologyMeteorologyAtmosphere"
      ],
      "modified": "2016-08-02",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
      },
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        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
      },
      "identifier": "45AAE510-4FFB-425E-BEB5-F3D4AEADA536",
      "accessLevel": "public",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-178.217598 18.921786, -66.969271 18.921786, -66.969271 71.406235, -178.217598 71.406235, -178.217598 18.921786))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1895-01-01",
          "endDate": "2024-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "issued": "2016-08-02",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Heating and Cooling Degree Day by State, 1960–2023 Versus 1895–1959",
      "description": "This indicator shows how heating and cooling degree days have changed by state, based on a comparison of the first 65 years of available data (1895–1959) with the most recent 64 years (1960–2023). For more information: https://www.epa.gov/climate-indicators.   ",
      "keyword": [
        "geospatial",
        "Climate",
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      ],
      "modified": "2019-11-09",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
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        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
      },
      "identifier": "FC1C4D7D-2782-4562-BCF1-975D26D41EA9",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-157.867 21.3067, -71.0517 21.3067, -71.0517 47.60264, -157.867 47.60264, -157.867 21.3067))"
        }
      ],
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "1950-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climatechange"
      },
      "issued": "2019-11-09",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Average Rate of Heat-Related Hospitalizations in 23 States, 2001-2010",
      "description": "This map shows the 2001–2010 average rate of hospitalizations classified as “heat-related” by medical professionals in 23 states that participate in CDC’s hospitalization tracking program. Rates are based on hospital discharge records for May 1 to September 30 of every year. Rates have been age-adjusted to account for differences in the population distribution over time and between states—for example, if one state has a higher proportion of older adults than another. For more information: www.epa.gov/climatechange/science/indicators",
      "keyword": [
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        "Climate",
        "020:033",
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        "climatologyMeteorologyAtmosphere"
      ],
      "modified": "2016-08-02",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
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        "fn": "Michael Kolian",
        "hasEmail": "mailto:kolian.michael@epa.gov"
      },
      "identifier": "44B8B369-65B5-4B0A-B064-FF2C45C9A17D",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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          "startDate": "2001-01-01",
          "endDate": "2010-01-01"
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      ],
      "accrualPeriodicity": "R/P1Y",
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      "issued": "2016-08-02",
      "distribution": [],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Heat Wave Characteristics in 50 Large U.S. Cities, 1961–2023",
      "description": "These maps show changes in the number of heat waves per year (frequency); the average length of heat waves in days (duration); the number of days between the first and last heat wave of the year (season length); and how hot the heat waves were, compared with the local temperature threshold for defining a heat wave (intensity). These data were analyzed from 1961 to 2023 for 50 large metropolitan areas. The size of each circle indicates the rate of change per decade. Solid-color circles represent cities where the trend was statistically significant. For more information: www.epa.gov/climate-indicators",
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        "fn": "Lisa Bacanskas",
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/HeatWaves/MapServer",
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Unusually Hot and Cold Temperatures in the Contiguous 48 States, 1948–2023",
      "description": "This map shows trends in unusually hot and cold temperatures at individual weather stations that have operated consistently since 1948. In this case, the term “unusually hot” refers to a daily maximum temperature that is hotter than the 95th percentile temperature during the 1948–2023 period. Thus, the maximum temperature on a particular day at a particular station would be considered “unusually hot” if it falls within the warmest 5 percent of measurements at that station during the 1948–2023 period. The map shows changes in the total number of days per year that were hotter than the 95th percentile. Red upward-pointing symbols show where these unusually hot days are becoming more common. Blue downward-pointing symbols show where unusually hot days are becoming less common. For more information: www.epa.gov/climate-indicators.",
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      "issued": "2016-08-02",
      "distribution": [],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Ice Thaw Dates for Selected U.S. Lakes, 1905-2019",
      "description": "This figure shows the change in the \"ice-off\" date, or date of ice thawing and breakup, for 14 U.S. lakes during the period from 1905 to 2019. All of the lakes have red circles with negative numbers, which represent earlier thaw dates. Larger circles indicate larger changes. For more information: www.epa.gov/climatechange/science/indicators",
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        "fn": "Michael Kolian",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      ],
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      "issued": "2016-08-02",
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    {
      "@type": "dcat:Dataset",
      "title": "Change in Summer Surface Water Temperatures of North American Lakes, 1985-2009",
      "description": "This map shows the total change in the average July–September surface water temperatures in 34 North American lakes from 1985 to 2009, as measured by satellites. Red circles represent warming; blue circles represent cooling. Larger circles indicate larger changes. Circles with black borders represent lakes where the trend was statistically significant.",
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        "geospatial",
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          "bbox": "POLYGON((-160.52 33.23, -60.79 33.23, -60.79 66.47, -160.52 66.47, -160.52 33.23))"
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      "accrualPeriodicity": "irregular",
      "issued": "2018-08-22",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Landfill Gas Energy Projects and Landfills in LMOP Database",
      "description": "Web map published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects and landfills listed in the LMOP Database having latitude and longitude coordinates. Data for operational projects are provided in 4 layers by Project Type Category (electricity, direct use, RNG pipeline injection, and RNG local use). Data for landfills are provided in 3 layers by Landfill Category (candidate, with project, and other). LMOP defines a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million tons of waste, and does not have an operational, under-construction, or planned project; candidate landfills can also be designated based on actual interest by the site. Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database. The Tribal layer data are available at https://geopub.epa.gov/arcgis/rest/services/EMEF/Tribal/MapServer.",
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      "modified": "2022-12-12",
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        "name": "US EPA Landfill Methane Outreach Program"
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        "fn": "Lauren Aepli",
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      "accrualPeriodicity": "R/P3M",
      "issued": "2022-12-12",
      "distribution": [],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Map of Landfill Gas Energy Projects and Landfills in LMOP Database for Homepage",
      "description": "Web map published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects and landfills listed in the LMOP Database having latitude and longitude coordinates. Data for operational projects are provided in 4 layers by Project Type Category (electricity, direct use, RNG pipeline injection, and RNG local use). Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database.",
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      "accrualPeriodicity": "R/P3M",
      "issued": "2022-12-12",
      "distribution": [],
      "accessRights": "public"
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    {
      "@type": "dcat:Dataset",
      "title": "Change in First Leaf and Bloom Dates Between 1951–1960 and 2014–2023",
      "description": "This indicator shows modeled trends in lilac and honeysuckle first leaf dates at weather stations across the contiguous 48 states. This map compares the average first leaf date during two 10-year periods, developed using data from the USA National Phenology Network. Blue circles represent later leaf dates, and red circles represent earlier. For more information:  https://www.epa.gov/climate-indicators",
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    {
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      "title": "Operational Landfill Gas Energy Projects with Coordinates",
      "description": "Feature layer published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects in the United States. Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database.",
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    {
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      "title": "Change in Permafrost Temperatures in Alaska, 1978-2023",
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      "modified": "2026-05-20",
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    {
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      "title": "U.S. Precipitation, 1901–2023",
      "description": "This indicator shows the rate of change in total annual precipitation in different parts of the United States since the early 20th century (since 1901 for the contiguous 48 states and 1925 for Alaska). The data are shown for climate divisions, as defined by the National Oceanic and Atmospheric Administration. For more information: www.epa.gov/climate-indicators",
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Ragweed Pollen Season, 1995-2015",
      "description": "This figure shows how the length of ragweed pollen season changed at 11 locations in the central United States and Canada between 1995 and 2015. Data were provided by Dr. Lewis Ziska of the U.S. Department of Agriculture, Agricultural Research Service. Red circles represent a longer pollen season; the blue circle represents a shorter season. Larger circles indicate larger changes. For more information: www.epa.gov/climatechange/science/indicators",
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      "issued": "2016-08-02",
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    {
      "@type": "dcat:Dataset",
      "title": "Change in the Magnitude of River Flooding in the United States, 1965-2015",
      "description": "This figure shows changes in the size and frequency of flooding events in rivers and streams in the United States between 1965 and 2015. Blue upward-pointing symbols show locations where floods have become larger; brown downward-pointing symbols show locations where floods have become smaller. Data were analyzed by Louise Slater and Gabriele Villarini at the University of Iowa. For more information: www.epa.gov/climatechange/science/indicators",
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        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-159.61998 18.032464, -66.032387 18.032464, -66.032387 64.902374, -159.61998 64.902374, -159.61998 18.032464))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1965-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climatechange"
      },
      "issued": "2016-08-02",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Relative Sea Level Change Along U.S. Coasts, 1960-2023",
      "description": "This map shows the change in relative sea level at 72 locations along the U.S. Coasts from 1960 - 2023. Arrows pointing up indicate an increase in sea level height (in inches) over time and arrows pointing down, a decrease. The different color and size of the arrows represent the amount of change in the height. For more information: www.epa.gov/climate-indicators",
      "keyword": [
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        "Air",
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        "Relative Sea Level",
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      "modified": "2026-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Atmospheric Programs, Office of Air and Radiation"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
      },
      "identifier": "BF03ABEF-97B4-4AE6-9346-BDC11C300693",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climate-change"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/SeaLevel/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Seasonal Temperature by State 1896-2023",
      "description": "Full Metadata These maps show the total change in the average seasonal temperature for each of the contiguous 48 states from 1896 to 2023, in degrees Fahrenheit. Total change in temperature was calculated from the long-term average rate of change. The three-month seasons are defined as follows: winter (December, January, February), spring (March, April, May), summer (June, July, August), and fall (September, October, November). For more information: www.epa.gov/climate-indicators",
      "keyword": [
        "Air",
        "Climate",
        "Temperature",
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      "modified": "2026-05-20",
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        "name": "U.S. Environmental Protection Agency, Office of Atmospheric Programs, Office of Air and Radiation"
      },
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        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
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      "identifier": "98D2EA35-78A1-47C8-AA5D-EC9301A70A1E",
      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/SeasonalTemperature/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Change in Snowfall",
      "description": "This indicator shows the average rate of change in total snowfall from 1930 to 2007 at 419 weather stations in the contiguous 48 states. Blue circles represent increased snowfall; red circles represent a decrease. This indicator also shows the percentage change in winter snow-to-precipitation ratio from 1949 to 2024 at 170 weather stations in the contiguous 48 states. This ratio measures what percentage of total winter precipitation falls in the form of snow. A decrease (red circle) indicates that more precipitation is falling in the form of rain instead of snow. Blue circles indicate more precipitation is falling in the form of snow instead of rain. For more information: https://www.epa.gov/climate-indicators.",
      "keyword": [
        "Air",
        "Climate",
        "Indicator",
        "020:033",
        "geospatial",
        "Precipitation",
        "Snow",
        "United States"
      ],
      "modified": "2016-08-02",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "U.S. Environmental Protection Agency, Office of Air and Radiation",
        "hasEmail": "mailto:climateindicators@epa.gov"
      },
      "identifier": "9BAE40D8-2B7E-42E4-82B3-01076FB7129C",
      "accessLevel": "public",
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        "020:00"
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.37 31.95, -69.72 31.95, -69.72 48.98, -124.37 48.98, -124.37 31.95))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1930-01-01",
          "endDate": "2007-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climatechange"
      },
      "issued": "2016-08-02",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/Snowfall/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Trends in Amount and Timing of Snowpack in the Western United States",
      "description": "This indicator shows trends in snowpack amounts as well as change in peak date of annual snowpack at measurement sites in the western United States. For more information: www.epa.gov/climate-indicators",
      "keyword": [
        "Indicator",
        "Climate",
        "geospatial",
        "Snow",
        "snowpack",
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      "modified": "2026-05-20",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
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        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "accrualPeriodicity": "irregular",
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      "distribution": [
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/Snowpack/MapServer",
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      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Average Temperatures in the Southwestern United States, 2000–2023 Versus Long-Term Average",
      "description": "This indicator shows how the average air temperature from 2000 to 2023 has differed from the long-term average (1895 - 2023). To provide more detailed information, each state has been divided into climate divisions, which are zones that share similar climate features. For more information: https://www.epa.gov/climate-indicators.",
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        "Air",
        "Climate",
        "020:033",
        "Temperature",
        "geospatial",
        "Meteorology",
        "Atmosphere",
        "Climate Indicator",
        "Southwest",
        "United States",
        "Climatology"
      ],
      "modified": "2019-11-18",
      "publisher": {
        "@type": "org:Organization",
        "name": "USEPA"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "USEPA",
        "hasEmail": "mailto:climateindicators@epa.gov"
      },
      "identifier": "E06B9849-A8D5-4A92-9D3F-3DDF86E925BB",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.409721 31.332178, -102.041486 31.332178, -102.041486 42.009519, -124.409721 42.009519, -124.409721 31.332178))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1895-01-01",
          "endDate": "2023-12-31"
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      ],
      "describedBy": {
        "accessURL": "https://www.epa.gov/climate-indicators"
      },
      "issued": "2019-11-18",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Streamflow in the United States, 1940–2022",
      "description": "This map shows percentage changes in the minimum annual rate of water carried by rivers and streams across the country, based on the long-term rate of change from 1940 to 2022. For more information: https://www.epa.gov/climate-indicators.",
      "keyword": [
        "geospatial",
        "Climate",
        "020:033",
        "climatology, Meteorology, Atmosphere",
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      "modified": "2016-08-02",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
        "hasEmail": "mailto:bacanskas.lisa@epa.gov"
      },
      "identifier": "0599E344-4682-479D-9334-78FE576E2881",
      "accessLevel": "public",
      "bureauCode": [
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      ],
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        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-159.61998 20.80686, -68.30596 20.80686, -68.30596 55.3916, -159.61998 55.3916, -159.61998 20.80686))"
        }
      ],
      "temporal": [
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          "@type": "PeriodOfTime",
          "startDate": "1940-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climate-indicators"
      },
      "issued": "2016-08-02",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Changes in Stream Water Temperatures in the Chesapeake Bay Region, 1960-2014",
      "description": "This map shows the changes in stream water temperatures in the Chesapeake Bay region from 1960 to 2014. Blue circles represent cooling trends in stream water temperatures, and red circles represent warming trends in stream water temperatures. Data were analyzed by Mike Kolian of EPA in partnership with John Jastram and Karen Rice of the U.S. Geological Survey. For more information: www.epa.gov/climatechange/science/indicators",
      "keyword": [
        "geospatial",
        "Climate",
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        "climatology, Meteorology, Atmosphere",
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      "modified": "2016-08-02",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Michael Kolian",
        "hasEmail": "mailto:kolian.michael@epa.gov"
      },
      "identifier": "E3CB0878-2DAD-4783-BA92-0B3049FF13DF",
      "accessLevel": "public",
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        "020:00"
      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-82.296 36.717, -75.117 36.717, -75.117 41.997, -82.296 41.997, -82.296 36.717))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1960-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "describedBy": {
        "accessURL": "https://www.epa.gov/climatechange"
      },
      "issued": "2016-08-02",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "U.S. Temperature, 1901–2023",
      "description": "This indicator shows how annual average air temperatures have changed in different parts of the United States since the early 20th century (since 1901 for the contiguous 48 states and 1925 for Alaska). The data are shown for climate divisions, as defined by the National Oceanic and Atmospheric Administration. For more information: www.epa.gov/climate-indicators",
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        "Climate",
        "Temperature",
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        "geospatial",
        "Other Documents",
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        "U.S. temperatures"
      ],
      "modified": "2026-05-20",
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        "@type": "vcard:Contact",
        "fn": "Lisa Bacanskas",
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      },
      "identifier": "CFC1A18F-778F-44C5-A691-57781C0D95F0",
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      "bureauCode": [
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      ],
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      "describedBy": {
        "accessURL": "https://www.epa.gov/climate-change"
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      "distribution": [
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/US_Temperature/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Wildfires, 1984–2021",
      "description": "This indicator tracks the extent and severity of wildfires in the United States. One map shows the average annual burned acreage by state, while the other map shows the change in annual burned acreage by state between 1984-2002 and 2003-2021. For more information: www.epa.gov/climate-indicators",
      "keyword": [
        "Indicator",
        "Climate",
        "geospatial",
        "Environment",
        "Wildfires",
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      ],
      "modified": "2026-05-20",
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      "identifier": "50995AB9-C7F4-4163-8E9A-E8470083C429",
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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      "distribution": [
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OAR_OAP/Wildfires/MapServer",
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      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Mandatory Class 1 Federal Areas Download Package",
      "description": "This downloadable package contains the following layers: Mandatory Class 1 Federal Area polygons in the United States. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. This dataset was developed by EPA's Office of State Air Partnerships (OSAP) based on features originating from several data sources, including USEPA, USFS, USFWS, NPS and BIA.",
      "keyword": [
        "South Carolina",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Canada",
        "South Dakota",
        "Montana",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Washington",
        "Compliance",
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        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Quality",
        "Arkansas",
        "New Mexico",
        "Monitoring",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Texas",
        "Alaska",
        "Virgin Islands",
        "Air",
        "West Virginia",
        "geospatial",
        "Nevada",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Minnesota"
      ],
      "modified": "2015-09-22",
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        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation- Office of State Air Partnerships (OSAP)"
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        "fn": "Halil Cakir",
        "hasEmail": "mailto:cakir.halil@epa.gov"
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      "identifier": "mandatory-class-1-federal-areas-download-package",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
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      ],
      "temporal": [
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      ],
      "accrualPeriodicity": "irregular",
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      "language": [
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      "theme": [
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          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/public/OAR/OAQPS/Class1/Class1Areas.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Mandatory Class 1 Federal Areas Web Service",
      "description": "This web service contains the following layers: Mandatory Class 1 Federal Area polygons and Mandatory Class 1 Federal Area labels in the United States. The polygon layer draws at all scales. The labels draw at scales greater than or equal to 1:3 million. Data used to create this web service are available as a separate download at the secondary linkage listed above. Full FGDC metadata are available by clicking the layer name in the web service table of contents and clicking the Full Metadata link in the layer description. This dataset was developed by EPA's Office of State Air Partnerships (OSAP) based on features originating from several data sources, including USEPA, USFS, USFWS, NPS and BIA.",
      "keyword": [
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        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Canada",
        "South Dakota",
        "Montana",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Washington",
        "Compliance",
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        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Quality",
        "Arkansas",
        "New Mexico",
        "Monitoring",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Texas",
        "Alaska",
        "Virgin Islands",
        "Air",
        "West Virginia",
        "geospatial",
        "Nevada",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Minnesota"
      ],
      "modified": "2015-09-22",
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      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-09-22",
          "endDate": "2015-09-22"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2015-09-22",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/public/OAR/OAQPS/Class1/Class1Areas.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "2012 and 2013 Air Quality Fused Surface for the Conterminous U.S. Map Service",
      "description": "This web service contains a polygon layer that depicts fused air quality predictions for 2012, 2013, and 2014 for census tracts in the conterminous United States. Fused air quality predictions (for ozone and PM2.5) are modeled using a Bayesian space-time downscaling fusion model approach described in a series of three published journal papers: 1) (Berrocal, V., Gelfand, A. E. and Holland, D. M. (2012). Space-time fusion under error in computer model output: an application to modeling air quality. Biometrics 68, 837-848; 2) Berrocal, V., Gelfand, A. E. and Holland, D. M. (2010). A bivariate space-time downscaler under space and time misalignment. The Annals of Applied Statistics 4, 1942-1975; and 3) Berrocal, V., Gelfand, A. E., and Holland, D. M. (2010). A spatio-temporal downscaler for output from numerical models. J. of Agricultural, Biological,and Environmental Statistics 15, 176-197) is used to provide daily, predictive PM2.5 (daily average) and O3 (daily 8-hr maximum) surfaces for 2012, 2013, and 2014. Summer (O3) and annual (PM2.5) means calculated and published. The downscaling fusion model uses both air quality monitoring data from the National Air Monitoring Stations/State and Local Air Monitoring Stations (NAMS/SLAMS) and numerical output from the Models-3/Community Multiscale Air Quality (CMAQ). Currently, predictions at the US census tract centroid locations within the 12 km CMAQ domain are archived. Predictions at the CMAQ grid cell centroids, or any desired set of locations could be provided if needed. Predictions are not provided on December 31st of any year because complete daily CMAQ output are not available on those days after conversion of GMT to local eastern time.",
      "keyword": [
        "020:072",
        "United States",
        "geospatial",
        "Air"
      ],
      "modified": "2016-06-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation-Office of Air Quality Planning and Standards"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Brian Stitt",
        "hasEmail": "mailto:stitt.brian@epa.gov"
      },
      "identifier": "a7fd531c-b6ed-4edd-8b6d-20a28d71270f",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-01-01",
          "endDate": "2014-01-01"
        }
      ],
      "issued": "2016-06-15",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations-PM10 (1987 NAAQS)",
      "description": "This web service contains the following layer: PM10 Nonattainment Areas (1987 NAAQS). Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA1987PM10/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of Air Quality Planning and Standards (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www.epa.gov/approved-sips/regional-sip-coordinators. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-07-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation-Office of Air Quality Planning and Standards"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Halil Cakir",
        "hasEmail": "mailto:cakir.halil@epa.gov"
      },
      "identifier": "{F335092D-E644-4967-8226-520172B3097E}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "describedBy": {
        "accessURL": "https://www3.epa.gov/airquality/greenbook/index.html"
      },
      "issued": "2015-07-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OAR/OAQPS/NAA.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations - Carbon Monoxide (1990 NAAQS) - Web Service Layer",
      "description": "This web service layer, Carbon Monoxide (1990 NAAQS), displays identified state level areas where carbon monoxide pollution has not met the National Ambient Air Quality Standards (NAAQS) established in 1990 for and have been designated \"nonattainment” areas (NAA)\". Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NonattainmentAreas/MapServer) and viewing the layer description. The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www.epa.gov/oar/oaqps/greenbk/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/oar/oaqps/greenbk/regcntct.html). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-07-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation- Office of State Air Partnerships (OSAP)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Halil Cakir",
        "hasEmail": "mailto:cakir.halil@epa.gov"
      },
      "identifier": "us-epa-nonattainment-areas-and-designations-carbon-monoxide-1990-naaqs-web-service-layer",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "describedBy": {
        "accessURL": "https://www.epa.gov/oar/oaqps/greenbk/regcntct.html"
      },
      "issued": "2015-07-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://arcg.is/1Lq9Vp2",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations-8 Hour Ozone (1997 NAAQS)",
      "description": "This web service contains the following layers: Ozone 1997 NAAQS NAA State Level and Ozone 1997 NAAQS NAA National Level. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA1997Ozone8hour/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-07-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Air and Radiation- Office of State Air Partnerships (OSAP)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Halil Cakir",
        "hasEmail": "mailto:cakir.halil@epa.gov"
      },
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      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "describedBy": {
        "accessURL": "https://www3.epa.gov/airquality/greenbook/index.html"
      },
      "issued": "2015-07-01",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OAR/OAQPS/NAA.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations-Annual PM2.5 (1997 NAAQS)",
      "description": "This web service contains the following layers: PM2.5 Annual 1997 NAAQS State Level and PM2.5 Annual 1997 NAAQS National . It also contains the following tables: maps99.FRED_MAP_VIEWER.%fred_area_map_data and maps99.FRED_MAP_VIEWER.%fred_area_map_view. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA1997PM25Annual/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as “attainment” (meeting), “nonattainment” (not meeting), or “unclassifiable” (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
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      "rights": [
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      "issued": "2015-07-01",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations-SO2 (2010 NAAQS)",
      "description": "This web service contains the following layer: SO2 2010 NAAQS State Level. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA2010SO21hour/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
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        "Chesapeake Bay",
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        "North Carolina",
        "Wyoming",
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        "Hawaii",
        "Illinois",
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        "Connecticut",
        "Washington",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
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        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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    {
      "@type": "dcat:Dataset",
      "title": "US EPA Nonattainment Areas and Designations-Annual PM2.5 (2012 NAAQS)",
      "description": "This web service contains the following layer: PM2.5 Annual 2012 NAAQS State Level. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NAA2012PM25Annual/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
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        "Oregon",
        "Chesapeake Bay",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
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        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
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        "Alaska",
        "Texas",
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        "West Virginia",
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        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
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      "modified": "2015-07-01",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      "title": "US EPA Nonattainment Areas and Designations-8 Hour Ozone (2015 NAAQS) - Web Service Layer",
      "description": "This web service layer, Ozone 8-hr (2015 standard), displays identified state level areas where ground-level ozone have not met the National Ambient Air Quality Standards (NAAQS) established in 2015 for ground-level ozone and have been designated \"nonattainment” areas (NAA)\". Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NonattainmentAreas/MapServer) and viewing the layer description. The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www.epa.gov/oar/oaqps/greenbk/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/oar/oaqps/greenbk/regcntct.html). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
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        "North Dakota",
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        "South Dakota",
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        "Kentucky",
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        "Maryland",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
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        "Virgin Islands",
        "West Virginia",
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        "Nevada",
        "Rhode Island",
        "Idaho",
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        "Georgia",
        "Utah",
        "Massachusetts",
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      "title": "National Emissions Inventory, U.S., 2014, EPA/OAR/OAQPS/AQAD",
      "description": "This web service contains layers that depict annual emissions for 2014 at the facility and county level for the following criterial pollutants: CO, Lead, NH3, NOx, PM10, PM25, SO2, and VOC. The National Emissions Inventory (NEI) is a comprehensive and detailed estimate of air emissions of criteria pollutants, criteria precursors, and hazardous air pollutants from air emissions sources. The NEI is released every three years based primarily upon data provided by State, Local, and Tribal air agencies for sources in their jurisdictions and supplemented by data developed by the US EPA. The NEI is built using the Emissions Inventory System (EIS) first to collect the data from State, Local, and Tribal air agencies and then to blend that data with other data sources. NEI point sources include emissions estimates for larger sources that are located at a fixed, stationary location. Point sources in the NEI include large industrial facilities and electric power plants, airports, and smaller industrial, non-industrial and commercial facilities. A small number of portable sources such as some asphalt or rock crushing operations are also included. Some states voluntarily also provide facilities such as dry cleaners, gas stations, and livestock facilities, which are otherwise included in the NEI as nonpoint sources. The emissions potential of each facility determines whether that facility should be reported as a point source, according to emissions thresholds set in the Air Emissions Reporting Rule (AERR). NEI Point Sources are all included in the EIS Point Data Category. NEI nonpoint sources include emissions estimates for sources which individually are too small in magnitude to report as point sources. These emissions sources are included in the NEI as a county total or tribal total (for participating tribes). Examples include residential heating, commercial combustion, asphalt paving, and commercial and consumer solvent use. NEI nonpoint sources are all included in the EIS Nonpoint Data Category.",
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        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
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    {
      "@type": "dcat:Dataset",
      "title": "National Emissions Inventory (NEI), Facility-Level, US, 2008, 2011, 2014, EPA OAR, OAPQS",
      "description": "This US EPA Office of Air and Radiation, Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Analysis Group (OAR, OAQPS, AQAD, AQAG) web service contains the following layers created from the 2008, 2011 and 2014 National Emissions Inventory (NEI): All Pollutants, which include hazardous air pollutants (HAPs) and criteria air pollutants (CAPs) Criteria Majors, which include CAP point source emissions ≥ 100 tons per year (except Lead which is ≥ 0.5 tons per year) Criteria Minors, which include CAP point source emissions < 100 tons per year (except Lead which is < 0.5 tons per year). Layers are drawn at all scales. The National Emission Inventory (NEI) is a comprehensive and detailed estimate of air emissions of criteria pollutants, criteria precursors, and hazardous air pollutants from air emissions sources. The NEI is released every three years based primarily upon data provided by State, Local, and Tribal air agencies for sources in their jurisdictions and supplemented by data developed by the US EPA. The NEI is built using the Emissions Inventory System (EIS) first to collect the data from State, Local, and Tribal air agencies and then to blend that data with other data sources. NEI point sources include emissions estimates for larger sources that are located at a fixed, stationary location. Point sources in the NEI include large industrial facilities and electric power plants, airports, and smaller industrial, non-industrial and commercial facilities. A small number of portable sources such as some asphalt or rock crushing operations are also included. Some states voluntarily also provide facilities such as dry cleaners, gas stations, and livestock facilities, which are otherwise included in the NEI as nonpoint sources. The emissions potential of each facility determines whether that facility should be reported as a point source, according to emissions thresholds set in the Air Emissions Reporting Rule (AERR). NEI Point Sources are all included in the EIS Point Data Category. NEI nonpoint sources include emissions estimates for sources which individually are too small in magnitude to report as point sources. These emissions sources are included in the NEI as a county total or tribal total (for participating tribes). Examples include residential heating, commercial combustion, asphalt paving, and commercial and consumer solvent use. NEI nonpoint sources are all included in the EIS Nonpoint Data Category.",
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      "modified": "2017-03-02",
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        "fn": "Office of Air Quality Planning and Standards",
        "hasEmail": "mailto:dayton.lindsay@epa.gov"
      },
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "title": "Download",
          "downloadURL": "https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NEI_Facility_HAPs_CAPs/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "National Emissions Inventory (NEI), County-Level, US, 2008, 2011, 2014, 2017, 2020",
      "description": "This US EPA Office of Air and Radiation, Office of Air Quality Planning and Standards, Air Quality Assessment Division, Air Quality Analysis Group (OAR, OAQPS, AQAD, AQAG) web service contains the following layers created from the 2008, 2011 and 2014 National Emissions Inventory (NEI): Carbon Monoxide (CO), Lead, Ammonia (NH3), Nitrogen Oxides (NOx), Particulate Matter 10 (PM10), Particulate Matter 2.5 (PM2.5), Sulfur Dioxide (SO2), Volatile Organic Compounds (VOC). Each of these layers conatin county level emissions for 2008, 2011, and 2014. Layers are drawn at all scales. The National Emission Inventory (NEI) is a comprehensive and detailed estimate of air emissions of criteria pollutants, criteria precursors, and hazardous air pollutants from air emissions sources. The NEI is released every three years based primarily upon data provided by State, Local, and Tribal air agencies for sources in their jurisdictions and supplemented by data developed by the US EPA. The NEI is built using the Emissions Inventory System (EIS) first to collect the data from State, Local, and Tribal air agencies and then to blend that data with other data sources. NEI point sources include emissions estimates for larger sources that are located at a fixed, stationary location. Point sources in the NEI include large industrial facilities and electric power plants, airports, and smaller industrial, non-industrial and commercial facilities. A small number of portable sources such as some asphalt or rock crushing operations are also included. Some states voluntarily also provide facilities such as dry cleaners, gas stations, and livestock facilities, which are otherwise included in the NEI as nonpoint sources. The emissions potential of each facility determines whether that facility should be reported as a point source, according to emissions thresholds set in the Air Emissions Reporting Rule (AERR). NEI Point Sources are all included in the EIS Point Data Category. NEI nonpoint sources include emissions estimates for sources which individually are too small in magnitude to report as point sources. These emissions sources are included in the NEI as a county total or tribal total (for participating tribes). Examples include residential heating, commercial combustion, asphalt paving, and commercial and consumer solvent use. NEI nonpoint sources are all included in the EIS Nonpoint Data Category.",
      "keyword": [
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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          "title": "Download",
          "downloadURL": "https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NEI_County_CAPs/MapServer",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
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    {
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      "title": "US EPA Nonattainment Areas and Designations",
      "description": "This web service contains the following state level layers:Ozone 8-hr (1997 standard), Ozone 8-hr (2008 standard), Lead (2008 standard), SO2 1-hr (2010 standard), PM2.5 24hr (2006 standard), PM2.5 Annual (1997 standard), PM2.5 Annual (2012 standard), PM10 (1987 standard), and CO (1990 standard). Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (https://gispub.epa.gov/arcgis/rest/services/OAR_OAQPS/NonattainmentAreas/MapServer) and viewing the layer description. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
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        "Oregon",
        "Chesapeake Bay",
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        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
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        "North Carolina",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
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        "Indiana",
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        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-07-01",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "theme": [
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          "title": "Download",
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      "title": "US EPA Nonattainment Areas and Designations - Download Package",
      "description": "This downloadable data package contains the following state level layers: Ozone 8-hr (1997 standard), Ozone 8-hr (2008 standard), Lead (2008 standard), SO2 1-hr (2010 standard), PM2.5 24hr (2006 standard), PM2.5 Annual (1997 standard), PM2.5 Annual (2012 standard), and PM10 (1987 standard). Included in this package are a file geodatabase and full FGDC metadata records for each layer. These layers identify areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for criteria air pollutants and have been designated \"nonattainment” areas (NAA)\". The data are updated weekly from an OAQPS internal database. However, that does not necessarily mean the data have changed. The EPA Office of State Air Partnerships (OSAP) has set National Ambient Air Quality Standards for six principal pollutants, which are called \"criteria\" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA is required to set National Ambient Air Quality Standards for six common air pollutants. These commonly found air pollutants (also known as \"criteria pollutants\") are found all over the United States. They are particle pollution (often referred to as particulate matter), ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. For each criteria pollutant, there are specific procedures used for measuring ambient concentrations and for calculating long-term (quarterly or annual) and/or short-term (24-hour) exposure levels. The methods and allowable concentrations vary from one pollutant to another, and within NAAQS revisions for each pollutant. These pollutants can harm your health and the environment, and cause property damage. Of the six pollutants, particle pollution and ground-level ozone are the most widespread health threats. EPA calls these pollutants \"criteria\" air pollutants because it regulates them by developing human health-based and/or environmentally-based criteria (science-based guidelines) for setting permissible levels. The set of limits based on human health is called primary standards. Another set of limits intended to prevent environmental and property damage is called secondary standards. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. In some cases, a designated nonattainment area can include portions of 2, 3, or 4 states rather than falling entirely within a single state. Multi-state areas have had different state portions handled through up to 3 separate EPA regional offices. The actions of EPA and the state governments for separate portions of such areas are not always simultaneous. While some areas have had coordinated action from all related states on the same day, other areas (so-called \"split areas\") have had delays of several months, ranging up to more than 2 years, between different states. EPA must designate areas as meeting (attainment) or not meeting (nonattainment) the standard. A designation is the term EPA uses to describe the air quality in a given area for any of the six common air pollutants (criteria pollutants). After EPA establishes or revises a primary and/or secondary National Ambient Air Quality Standard (NAAQS), the Clean Air Act requires EPA to designate areas as \"attainment\" (meeting), \"nonattainment\" (not meeting), or \"unclassifiable\" (insufficient data) after monitoring data is collected by state, local and tribal governments. Once nonattainment designations take effect, the state and local governments have three years to develop implementation plans outlining how areas will attain and maintain the standards by reducing air pollutant emissions. For further information please refer to: https://www3.epa.gov/airquality/greenbook/index.html. Questions concerning the status of nonattainment areas, their classification and EPA policy should be directed to the appropriate Regional Offices (https://www.epa.gov/approved-sips/regional-sip-coordinators). EPA Headquarters should be contacted only when the Regional Office is unable to answer a question.",
      "keyword": [
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        "Maryland",
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        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
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    {
      "@type": "dcat:Dataset",
      "title": "US EPA 2014 Ozone Season Review by Core Based Statistical Area",
      "description": "This web service contains the following layer: CBSA35_2014OzoneAQI_data. Full FGDC metadata record for this layer may be found by clicking the layer name at the web service endpoint (available through the online link provided above) and viewing the layer description.",
      "keyword": [
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      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
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      "title": "US EPA 2014 Ozone Season Review by City",
      "description": "This web service contains the following layer: OzoneReview35Cities_with2000to2014data. Full FGDC metadata records for each layer may be found by clicking the layer name at the web service endpoint (available through the online link provided above) and viewing the layer description.",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
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      ],
      "temporal": [
        {
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          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
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      "accrualPeriodicity": "irregular",
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      "issued": "2015-07-01",
      "language": [
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      "theme": [
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      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA 2014 Fine Particulate Pollution (PM2.5) Season Review by Core Based Statistical Area",
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        "South Carolina",
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2015-07-01",
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      "contactPoint": {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
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      "theme": [
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    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA 2014 Fine Particulate Pollution (PM2.5) Season Review by City",
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        "Climate",
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        "Maine",
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        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
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        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
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        "Connecticut",
        "Washington",
        "Maryland",
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        "New Hampshire",
        "Alabama",
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        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
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        "Alaska",
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        "Rhode Island",
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "Acute Exposure Guideline Levels Chemical Listing",
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        "fn": "Ernest Falke",
        "hasEmail": "mailto:Falke.ernest@Epa.gov"
      },
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      "accessLevel": "public",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
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      "spatial": [
        {
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      ],
      "temporal": null,
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      ],
      "distribution": [],
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    },
    {
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      "title": "Chemical Data Release (CDR) Chemicals per Site, 2012",
      "description": "This layer displays points of per site chemical use extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).",
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        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Facilities",
        "North Dakota",
        "Iowa",
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        "South Dakota",
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        "Tennessee",
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        "Missouri",
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        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Pesticides",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2013-06-05",
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        "hasEmail": "mailto:tsca-hotline@epamail.epa.gov"
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      "identifier": "chemical-data-release-cdr-chemicals-per-site-2012",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
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      ],
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      "accrualPeriodicity": "R/P1Y",
      "issued": "2013-06-05",
      "language": [
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      "theme": [
        "environment"
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      "distribution": [
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
      "accessRights": "public"
    },
    {
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      "title": "Chemical Data Reporting (CDR), 2012",
      "description": "This data download package contains the following map layers: CDR sites, CDR chemicals, and CDR commercial and industrial submissions. Layers are drawn at all scales. Included in this package are a file geodatabase, Esri ArcMap map document and XML files of this and layer-level metadata records. Full FGDC metadata records for each layer are also contained in the database. This dataset was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).",
      "keyword": [
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        "Delaware",
        "South Carolina",
        "Washington DC",
        "Maine",
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        "Facilities",
        "North Dakota",
        "Iowa",
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        "Ohio",
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        "Kansas",
        "Tennessee",
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        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
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        "Washington",
        "Maryland",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
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        "Wisconsin",
        "Toxics",
        "Arkansas",
        "New York",
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        "Monitoring",
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        "Michigan",
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        "Pesticides",
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        "Mississippi",
        "Alaska",
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        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
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        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
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        "Massachusetts",
        "Human",
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      ],
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      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "theme": [
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      "distribution": [
        {
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          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OCSPP/CDR_Sites/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
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        "Washington DC",
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        "Oregon",
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        "Iowa",
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        "Tennessee",
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        "Illinois",
        "Nebraska",
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        "Arkansas",
        "New York",
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        "Colorado",
        "Pesticides",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
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        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
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        "fn": "U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention",
        "hasEmail": "mailto:tsca-hotline@epamail.epa.gov"
      },
      "identifier": "chemical-data-release-cdr-sites-2012",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      "language": [
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      "theme": [
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      "distribution": [
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Chemical Data Release (CDR) Children's Products Uses, 2012",
      "description": "This layer displays points of children's products uses extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).",
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        "Delaware",
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        "Iowa",
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        "South Dakota",
        "Montana",
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        "Tennessee",
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        "Exposure",
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        "Missouri",
        "Risk",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Pesticides",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2013-06-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention"
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        "fn": "U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention",
        "hasEmail": "mailto:tsca-hotline@epamail.epa.gov"
      },
      "identifier": "chemical-data-release-cdr-childrens-products-uses-2012",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      "language": [
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      "theme": [
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      "distribution": [
        {
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          "title": "Download",
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        }
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    {
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      "title": "Chemical Data Release (CDR) Commercial Uses, 2012",
      "description": "This layer displays points of commercial uses extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).",
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        "South Carolina",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Facilities",
        "North Dakota",
        "Iowa",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Exposure",
        "North Carolina",
        "Wyoming",
        "Missouri",
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        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
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        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Sites",
        "Indiana",
        "Wisconsin",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Pesticides",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2013-06-05",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        "Iowa",
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        "Tennessee",
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        "Connecticut",
        "Washington",
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        "Florida",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
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        "Wisconsin",
        "Toxics",
        "Arkansas",
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        "New Mexico",
        "Impact",
        "Michigan",
        "Colorado",
        "Pesticides",
        "Oklahoma",
        "Mississippi",
        "Alaska",
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        "Vermont",
        "West Virginia",
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        "Pennsylvania",
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        "California",
        "Georgia",
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      ],
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        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Toxic Substances Control Act (TSCA) 8(e) Notices and FYI Submissions",
      "description": "Section 8(e) of the Toxic Substances Control Act (TSCA) requires U.S. chemical manufacturers, importers, processors and distributors to notify EPA within 30 calendar days of new, unpublished information on their chemicals that may lead to a conclusion of substantial risk to human health or to the environment. This data source collects these Section 8(e) notices as well as voluntary submissions (FYI submissions) and organizes them by date.",
      "keyword": [
        "Environmental Media Topics",
        "geospatial",
        "Human Health",
        "Non-Point Sources of Water Pollution",
        "Health Risks",
        "Environment",
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        "Water Pollutants",
        "Water Pollution",
        "Species",
        "United States",
        "Substances",
        "Water"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Toni Krasnic",
        "hasEmail": "mailto:Krasnic.Toni@epa.gov"
      },
      "identifier": "{BD105142-CF54-40DF-9135-5AB7513EFE1B}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
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          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "theme": [
        "environment"
      ],
      "distribution": [],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Toxic Substances Control Act Test Submissions 2.0 (TSCATS 2.0)",
      "description": "The Toxic Substances Control Act Test Submissions 2.0 (TSCATS 2.0) tracks the submissions of health and safety data submitted to the EPA either as required or voluntarily under certain sections of TSCA.",
      "keyword": [
        "Life Stages & Populations",
        "Toxicity",
        "geospatial",
        "Human Health",
        "Health Risks",
        "DataFinder",
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      "modified": "2014",
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        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)"
      },
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        "@type": "vcard:Contact",
        "fn": "John Leitzke",
        "hasEmail": "mailto:Leitzke.John@epa.gov"
      },
      "identifier": "{2244ADB0-B057-46B2-B1D8-705A08BD732D}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
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        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "TRI Reporting Facilities Map Service",
      "description": "This map service shows point locations for facilities that submitted TRI reports to EPA during the most recent reporting year. EPA's Locational Reference Table is used for the facility’s latitude and longitude coordinates. Icons on the map are relatively sized based on the sum of all chemical quantities reported as released. The pop-up presents TRI data including facility name, address, industry sector, and total on-site and off-site release amounts as well as identifiers for TRI and FRS programs and a link to a more detailed TRI report. The data refreshes biannually. For more information, refere to the TRI Program Webpages, https://www.epa.gov/toxics-release-inventory-tri-program.",
      "keyword": [
        "Air",
        "geospatial",
        "Chemicals",
        "EJScreen",
        "Environment",
        "TRI",
        "Land",
        "Drinking Water",
        "Toxics",
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        "Releases",
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      ],
      "modified": "2020-01-09",
      "publisher": {
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        "name": "U.S. Environmental Protection Agency, Office of Chemical Safety and Pollution Prevention"
      },
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        "@type": "vcard:Contact",
        "fn": " Amanda Roach",
        "hasEmail": "mailto:roach.amanda@epa.gov"
      },
      "identifier": "C05903B3-3F57-43ED-B280-079A3E05414A",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      "spatial": [
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      ],
      "temporal": [
        {
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          "startDate": "2022-07-01",
          "endDate": "2022-07-01"
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      ],
      "accrualPeriodicity": "R/P2Y",
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        "accessURL": "https://gispub.epa.gov/arcgis/rest/services/OCSPP/TRI_Reporting_Facilities/MapServer"
      },
      "issued": "2020-01-09",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "OECA Annual Report 2015 Data Package",
      "description": "This downloadable data package shows information on enforcement actions and cases from 2015. They include civil enforcement actions taken by EPA at facilities, criminal cases prosecuted by EPA under federal statutes and the U.S. Criminal Code, and cases in which EPA provided significant support to cases prosecuted under state criminal laws.",
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        "geospatial",
        "Waste",
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      "modified": "2014-12-04",
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        "name": "U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance-Office of Compliance"
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        "fn": "Paul Stey",
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      },
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
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      ],
      "accrualPeriodicity": "R/P1Y",
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      },
      "issued": "2014-12-04",
      "language": [
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      ],
      "theme": [
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      "distribution": [
        {
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          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OECA/AnnualResults2015.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "OECA Annual Report 2015 Map Service",
      "description": "This interactive map shows information on enforcement actions and cases from 2015. They include civil enforcement actions taken by EPA at facilities, criminal cases prosecuted by EPA under federal statutes and the U.S. Criminal Code, and cases in which EPA provided significant support to cases prosecuted under state criminal laws.",
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      ],
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      "theme": [
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Concentrated Animal Feeding Operations (CAFOs) per County, US, 2013, US EPA",
      "description": "This downloadable data package contains the following map layer: An ESRI polygon layer which depicts the boundaries of each US county. It has been joined with a US EPA value-added dataset derived from the 2007 USDA Census of Agriculture. This USDA dataset was procured for EPA through the Office of Water (OW). Included in this package are a shapefile (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata.",
      "keyword": [
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        "geospatial"
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        "name": "U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance-Office of Compliance"
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        "fn": "Kimberly Chavez",
        "hasEmail": "mailto:chavez.kimberly@epa.gov"
      },
      "identifier": "concentrated-animal-feeding-operations-cafos-per-county-us-2013-us-epa",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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      ],
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      "language": [
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      "theme": [
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      "distribution": [
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          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OECA/CAFO_Density.zip",
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      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Concentrated Animal Feeding Operations (CAFOs) per County Downloadable Package, US, 2013, US EPA",
      "description": "This downloadable data package contains the following map layer: An ESRI polygon layer which depicts the boundaries of each US county. It has been joined with a US EPA value-added dataset derived from the 2007 USDA Census of Agriculture. This USDA dataset was procured for EPA through the Office of Water (OW). Included in this package are a shapefile (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata.",
      "keyword": [
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      ],
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        "name": "U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance-Office of Compliance"
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        "fn": "Kimberly Chavez",
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      "identifier": "{A811129F-3796-4940-A3F8-1BC216AF5D15}",
      "accessLevel": "public",
      "bureauCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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        }
      ],
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      "distribution": [
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          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/public/OECA/CAFO_Density.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Enforcement and Compliance History Online (ECHO) Facilities",
      "description": "ECHO provides integrated compliance and enforcement information for about 800,000 regulated facilities nationwide. Its features range from simple to advanced, catering to users who want to conduct broad analyses as well as those who need to perform complex searches. Enforcement and compliance data are available for air emissions, surface water discharges, hazardous waste, and drinking water systems. ECHO includes EPA, state, local and tribal environmental agency compliance and enforcement records that are contained in EPA national databases. ECHO also incorporates many EPA environmental data sets to provide additional context for analyses.",
      "keyword": [
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        "name": "U.S. Environmental Protection Agency, Office of Enforcment and Compliance Assurance"
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        "fn": "Rebecca Kane",
        "hasEmail": "mailto:Kane.Rebecca@epa.gov"
      },
      "identifier": "enforcement-and-compliance-history-online-echo-facilities",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
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      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
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      ],
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      ],
      "describedBy": {
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      },
      "issued": "2026-08-10",
      "language": [
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      ],
      "theme": [
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      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://echo.epa.gov",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "FY2018 Concluded EPA Enforcement Cases Feature Service",
      "description": "This interactive map shows information on concluded enforcement actions and cases from federal fiscal year (FY) 2018. They include: civil enforcement actions taken by EPA at facilities, criminal cases prosecuted by EPA under federal statutes and the U.S. Criminal Code, and cases in which EPA provided significant support to cases prosecuted under state criminal laws. They do not include: state civil cases or civil cases where EPA provide significant support to a state. The indicators on the map generally mark the location of the site or facility where the violations occurred or were discovered. Data are updated from the EPA program system on a weekly basis.",
      "keyword": [
        "geospatial",
        "EPA ECHO"
      ],
      "modified": "2019-02-04",
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        "name": "U.S. Environmental Protection Agency, Office of Enforcement and Compliance Assurance"
      },
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        "fn": "Rebecca Kane",
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      },
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      "accessLevel": "restricted public",
      "bureauCode": [
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      "programCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "issued": "2019-02-04",
      "distribution": [],
      "accessRights": "Access restricted. Contact the publisher to request access."
    },
    {
      "@type": "dcat:Dataset",
      "title": "Demographics for US Census Tracts - 2010 (American Community Survey 2006-2010 Derived Summary Tables)",
      "description": "This map service displays data derived from the 2006-2010 American Community Survey (ACS). Values derived from the ACS and used for this map service include: Total Population, Population Density (per square mile), Percent Minority, Percent Below Poverty Level, Percent Age (less than 5, less than 18, and greater than 64), Percent Housing Units Built Before 1950, Percent (population) 25 years and over (with less than a High School Degree and with a High School Degree), Percent Linguistically Isolated Households, Population of American Indians and Alaskan Natives, Population of American Indians and Alaskan Natives Below Poverty Level. The map service was created for inclusion in US EPA mapping applications.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "society",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2012-07-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{A767674A-2BFB-4612-B42F-7A80D96002E0}",
      "accessLevel": "public",
      "bureauCode": [
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-08-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://geodata.epa.gov/arcgis/rest/services/OEI/ACS_Demographics_by_Tract_2006_2010/MapServer"
      },
      "issued": "2012-07-19",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Demographics for US Census Tracts - 2012 (American Community Survey 2008-2012 Derived Summary Tables)",
      "description": "This map service displays data derived from the 2008-2012 American Community Survey (ACS). Values derived from the ACS and used for this map service include: Total Population, Population Density (per square mile), Percent Minority, Percent Below Poverty Level, Percent Age (less than 5, less than 18, and greater than 64), Percent Housing Units Built Before 1950, Percent (population) 25 years and over (with less than a High School Degree and with a High School Degree), Percent Linguistically Isolated Households, Population of American Indians and Alaskan Natives, Population of American Indians and Alaskan Natives Below Poverty Level, and Percent Low Income Population (Less Than 2X Poverty Level). The map service was created for inclusion in US EPA mapping applications.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "society",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2015-11-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "2FDDCEDD-264A-4685-BEA0-70E53B8A01DF",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-08-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://edg.epa.gov/metadata"
      },
      "issued": "2015-11-20",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "114th Congressional Districts, US, 2015, USGS National Map, SEGS",
      "description": "This SEGS web service contains the following map layers: 114th Congressional district boundaries. Layers are drawn at scales of 1:30 million and greater. Data used to create this web service are available as a separate download at the Secondary Linkage listed above. Full FGDC metadata records for each layer may be found by clicking the layer name in the web service table of contents (available through the online link provided above) and viewing the layer description. This SEGS dataset was procured for EPA through the Office of Environmental Information (OEI).",
      "keyword": [
        "South Carolina",
        "Delaware",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "boundaries",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-08-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Analysis and Access, Information Access Division"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{A9CD6C94-2F4F-40AA-A034-8F7F88C90EB9}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-08-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2015-03-16",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/OEI/CongressionalDistricts/114thCongress.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facility Locations and Regional Boundaries - National Geospatial Data Asset (NGDA)",
      "description": "This downloadable package contains the following layers: EPA facility points, EPA region boundary polygons and EPA region boundary polygons extended to the 200nm Exclusive Economic Zone (EEZ). Included in this package are a file geodatabase (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata. This dataset was produced by EPA Office of Environmental Information (OEI).",
      "keyword": [
        "geospatial",
        "National Geospatial Data Asset",
        "Governmental Units and Administrative and Statistical Boundaries Theme",
        "Facilities",
        "environment",
        "NGDA",
        "020:072",
        "United States"
      ],
      "modified": "2013-04-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{24CC13F3-A2F4-4E2D-A08A-CB737B4E02CF}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-07-05",
          "endDate": "2012-07-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2013-04-05",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facilities and Regional Boundaries Download Package, US, 2012, US EPA, SEGS",
      "description": "This downloadable package contains the following layers: EPA facility points, EPA region boundary polygons and EPA region boundary polygons extended to the 200nm Exclusive Economic Zone (EEZ). Included in this package are a file geodatabase (v. 10.0), Esri ArcMap map document (v. 10.0) and XML files for this record and the layer level metadata. This SEGS dataset was produced by EPA Office of Environmental Information (OEI).",
      "keyword": [
        "South Carolina",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Facilities",
        "North Dakota",
        "Ohio",
        "South Dakota",
        "Montana",
        "Tennessee",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Puerto Rico",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-04-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{F0DFDCC1-8226-4A3C-A3C4-FAEFB9CB9D36}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-07-05",
          "endDate": "2012-07-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2013-04-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/public/OEI/EPA_Facilities/EPA_Locations.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Facilities and Regional Boundaries Service, US, 2012, US EPA, SEGS",
      "description": "This SEGS web service contains EPA facilities, EPA facilities labels, small- and large-scale versions of EPA region boundaries, and EPA region boundaries extended to the 200nm Exclusive Economic Zone (EEZ). Small scale EPA boundaries and boundaries extended to the EEZ render at scales of less than 5 million, large scale EPA boundaries draw at scales greater than or equal to 5 million. EPA facilities labels draw at scales greater than 2 million. Data used to create this web service are available as a separate download at the Secondary Linkage listed above. Full FGDC metadata records for each layer may be found by clicking the layer name in the web service table of contents (available through the online link provided above) and viewing the layer description. This SEGS dataset was produced by EPA through the Office of Environmental Information.",
      "keyword": [
        "South Carolina",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Facilities",
        "North Dakota",
        "Ohio",
        "South Dakota",
        "Montana",
        "Tennessee",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Nebraska",
        "Washington",
        "Maryland",
        "United States",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Puerto Rico",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2013-04-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Analysis and Access, Information Access Division"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{EB015EB1-24CD-498F-9485-CE05EE14BC99}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-07-05",
          "endDate": "2012-07-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2013-04-05",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OEI/EPA_Facilities/EPA_Locations.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "U.S. Level III and IV Ecoregions (U.S. EPA)",
      "description": "This map service displays Level III and Level IV Ecoregions of the United States and was created from ecoregion data obtained from the U.S. Environmental Protection Agency Office of Research and Development's Western Ecology Division. The original ecoregion data was projected from Albers to Web Mercator for this map service. To download shapefiles of ecoregion data (in Albers), please go to: https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Ecoregions/. IMPORTANT NOTE ABOUT LEVEL IV POLYGON LEGEND DISPLAY IN ARCMAP: Due to the limitations of Graphical Device Interface (GDI) resources per application on Windows, ArcMap does not display the legend in the Table of Contents for the ArcGIS Server service layer if the legend has more than 100 items. As of December 2011, there are 968 unique legend items in the Level IV Ecoregion Polygon legend. Follow this link (http://support.esri.com/en/knowledgebase/techarticles/detail/33741) for instructions about how to increase the maximum number of ArcGIS Server service layer legend items allowed for display in ArcMap. Note the instructions at this link provide a slightly incorrect path to \"Maximum Legend Count\". The correct path is HKEY_CURRENT_USER > Software > ESRI > ArcMap > Server > MapServerLayer > Maximum Legend Count. When editing the \"Maximum Legend Count\", update the field, \"Value data\" to 1000. To download a PDF version of the Level IV ecoregion map and legend, go to https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Ecoregions/us/Eco_Level_IV_US_pg.pdf. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions (n = 968) are further subdivisions of Level III ecoregions. Methods used to define the ecoregions are explained in Omernik (1995, 2004), Omernik and others (2000), and Gallant and others (1989). Literature cited: Commission for Environmental Cooperation Working Group, 1997, Ecological regions of North America- toward a common perspective: Montreal, Commission for Environmental Cooperation, 71 p. Gallant, A.L., Whittier, T.R., Larsen, D.P., Omernik, J.M., and Hughes, R.M., 1989, Regionalization as a tool for managing environmental resources: Corvallis, Oregon, U.S. Environmental Protection Agency, EPA/600/3-89/060, 152p. Omernik, J.M., 1995, Ecoregions - a framework for environmental management, in Davis, W.S. and Simon, T.P., eds., Biological assessment and criteria-tools for water resource planning and decision making: Boca Raton, Florida, Lewis Publishers, p.49-62. Omernik, J.M., Chapman, S.S., Lillie, R.A., and Dumke, R.T., 2000, Ecoregions of Wisconsin: Transactions of the Wisconsin Academy of Science, Arts, and Letters, v. 88, p. 77-103. Omernik, J.M., 2004, Perspectives on the nature and definitions of ecological regions: Environmental Management, v. 34, Supplement 1, p. s27-s38. Comments and questions regarding ecoregion development should be addressed to Glenn Griffith, Dynamac Corporation, c/o US EPA., 200 SW 35th Street, Corvallis, OR 97333, 541-754-4465, email:griffith.glenn@epa.gov Alternate: James Omernik, USGS, c/o US EPA, 200 SW 35th Street, Corvallis, OR 97333, 541-754-4458, email:omernik.james@epa.gov",
      "keyword": [
        "Ecosystem",
        "geospatial",
        "Environment",
        "Land",
        "Ecology",
        "Ecoregions",
        "United States",
        "Natural Resources"
      ],
      "modified": "2012-04-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Research Triangle Park"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{02C99043-2E25-4A4E-BBE3-6AAE81ED7FC8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-160.0 17.0, -64.0 17.0, -64.0 50.0, -160.0 50.0, -160.0 17.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-12-23",
          "endDate": "2011-12-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Ecoregions/"
      },
      "issued": "2012-04-26",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Ecoregions/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Educational Institutions, US, 2015, ORNL, SEGS",
      "description": "This SEGS web service contains the following layers: Colleges and Universities, Supplemental Colleges, Private Schools, Public Schools and Day Care Centers . Colleges and Universities draws at scales &gt;= 1:3,000,000; Supplemental Colleges draw at scales &gt;= 1:2,000,000; Private Schools draw at scales &gt;= 1:1,000,000; Public Schools draw at scales &gt;=1:100,000 and Day Care Centers draw at scales &gt;= 1:50,000. This SEGS dataset was procured for EPA through the Office of Environmental Information (OEI). Access constraints: None. Use constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "society",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-08-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Analysis and Access, Information Access Division"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{9C49AE4B-F175-43D0-BCC6-A928FF54C329}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-08-23"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "issued": "2015-02-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/OEI/ORNL_Education/ORNL_Education.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Regional Masks Web Service, US, 2015, US EPA, SEGS",
      "description": "This web service contains the following map layers: masks and labels for EPA regions 1 through 10. Mask layers are drawn at all scales. Label layers draw at scales greater than 1:12.5 million. Data used to create this web service are available as a separate download at the Secondary Linkage listed above. Full FGDC metadata records for each layer may be found by clicking the layer name in the web service table of contents (available through the online link provided above) and viewing the layer description. This SEGS dataset was procured for EPA through the Office of Environmental Information (OEI).",
      "keyword": [
        "South Carolina",
        "Delaware",
        "SEGS",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "boundaries",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "020:072",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2016-08-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{EE81684F-153A-4B6A-9C6F-83DEBFD1A867}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-08-23"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2015-04-10",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/Public/OEI/EPA_RegionalMasks/EPA_RegionalMasks.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Neighborhoods, US, 2017, Zillow, SEGS",
      "description": "This web service depicts nearly 17,000 neighborhood boundaries in over 650 U.S. cities. Zillow created the neighborhood boundaries and is sharing them with the public under a Creative Commons license. Users of the data must credit Zillow as the data source. Additional information regarding this dataset can be found at https://www.zillow.com/howto/api/neighborhood-boundaries.htm. Note that neighborhood boundaries are not formal geographic boundaries for legal or jurisdictional purposes and should not be interpreted as such.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2017-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "{9921D5A2-0A11-41A3-ACF8-FD2F977A675C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: This dataset is free for public use by consumers, media, analysts, academics etc., consistent with Zillow's published Terms of Use (https://www.zillow.com/corp/Terms.htm). Proper and clear attribution of all data to Zillow is required. T"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-157.951576 18.296524, -65.985994 18.296524, -65.985994 64.837131, -157.951576 64.837131, -157.951576 18.296524))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2017-10-26",
          "endDate": "2017-10-26"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.zillow.com/howto/api/neighborhood-boundaries.htm"
      },
      "issued": "2017-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OEI/ZILLOW_NEIGHBORHOODS/Zillow_Neighborhoods.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "U.S. EPA Metadata Editor (EME)",
      "description": "The EPA Metadata Editor (EME) allows users to create geospatial metadata that meets EPA's requirements. The tool has been developed as a desktop application that works as a standalone tool or as an extension to ESRI's ArcCatalog. It provides a customized editing environment that allows users to select EPA defaults within the user interface, while also allowing users the flexibility to specify their own defaults.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "American Samoa",
        "conterminous United States (CONUS)",
        "Wisconsin",
        "Arkansas",
        "Management",
        "United States (US) (USA)",
        "Michigan",
        "New Mexico",
        "New York",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Massachusetts",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "District of Columbia",
        "Minnesota"
      ],
      "modified": "2011-07-25",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edc@epa.gov"
      },
      "identifier": "{4952303A-D92C-4E23-8719-888BA2DF865A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. While EPA has used its best efforts to include complete and accurate information in the EME, EPA cannot be held responsible for errors or omissions and is not liable for any direct, indirect or consequential damages resulting from "
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-168.21454852 16.65223303, -50.68151645 16.65223303, -50.68151645 71.7110157, -168.21454852 71.7110157, -168.21454852 16.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2011-07-25",
          "endDate": "2011-07-25"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2011-07-25",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/geospatial/epa-metadata-editor",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "U.S. EPAs Public Geospatial Metadata Service",
      "description": "EPAs public geospatial metadata service provides external parties (Data.gov, GeoPlatform.gov, and the general public) with access to EPA's geospatial metadata records including records describing facility data, emergency response data, and other environmental data. Geospatial metadata records are harvested to this central location from EPA's distributed regional and program offices.",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "Facilities",
        "Permits",
        "Iowa",
        "North Dakota",
        "Ohio",
        "South Dakota",
        "Montana",
        "Conservation",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Cleanup",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Energy",
        "Sites",
        "Arizona",
        "Ecology",
        "Quality",
        "American Samoa",
        "Indiana",
        "Wisconsin",
        "Toxics",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Monitoring",
        "Michigan",
        "Natural Resources",
        "Colorado",
        "Oklahoma",
        "Mississippi",
        "Alaska",
        "Texas",
        "Vermont",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Waste",
        "Nevada",
        "Pennsylvania",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2007-10-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information, Office of Information Collection"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Ana Greene",
        "hasEmail": "mailto:greene.ana@epa.gov"
      },
      "identifier": "{A52BC535-A78C-4803-A525-6D2FE8A14CA8}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2007-01-01",
          "endDate": "2007-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2007-10-26",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "TRI National Analysis: Mapping Data for the Toxics Release Inventory Releases at Various Geographic Levels",
      "description": "These data provide mapping, display, and analysis capabilities for the TRI National Analysis data at the following geographic levels: state, county, large aquatic ecosystem, metro/micropolitan statistical area, and facility. See the links below for data from specific reporting years. The TRI National Analysis is EPA's annual interpretation and summary of the most recent TRI data. It highlights how toxic chemical wastes were managed, where toxic chemicals were released and in what quantities, and how the TRI data compare to data from previous years. This dataset reports US, state, county, large aquatic ecosystem, metro/micropolitan statistical area, and facility level statistics of TRI releases, including information on: number of TRI facilities in the geographic area and their releases (total releases, as well as releases to water, air, and land); population information, including populations living within 1 mile of TRI facilities (total population, percent minority, and in percent under the poverty line); and Risk Screening Environmental Indicators (RSEI) model related pounds, toxicity-weighted pounds, and RSEI score. The source of administrative boundary data is the 2013 cartographic boundary shapefiles. Location of facilities is provided by EPA's Facility Registry Service (FRS). Large Aquatic Ecosystems boundaries were derived from the hydrologic unit boundaries and codes for the United States, Puerto Rico, and the U.S. Virgin Islands. It was revised for inclusion in the National Atlas of the United States of America (November 2002), and updated to match the streams file created by the USGS National Mapping Division (NMD) for the National Atlas of the United States of America.",
      "keyword": [
        "Air",
        "geospatial",
        "Shapefile",
        "Mapping",
        "Geographical",
        "Cartographic Boundary",
        "Land",
        "Facilities",
        "Risk",
        "GEO",
        "Toxics",
        "United States",
        "Water"
      ],
      "modified": "2021-09-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "{0BE49093-FBFF-4EC0-9B3A-F96FB8282B88}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.14734 -14.548699, 179.77847 -14.548699, 179.77847 71.352561, -179.14734 71.352561, -179.14734 -14.548699))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "BIA Tribes (4 of 5): American Indian & Alaska Native Land Area Representation",
      "description": "This data set is a supplemental dataset to the AIAN_LAR.  This data is compiled from The American Indian Reservations / Federally Recognized Tribal Entities dataset which depicts feature location, selected demographics and other associated data for the 561 Federally Recognized Tribal entities in the contiguous U.S. and Alaska. Categories included are: American Indian Reservations (AIR), Federally Recognized Tribal Entities (FRTE) and Alaska Native Villages (ANV).",
      "keyword": [
        "United States",
        "geospatial",
        "Human",
        "020:118"
      ],
      "modified": "2022-03-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Information Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Alexander R. O'Neill",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "bia-tribes-4-of-5-american-indian-alaska-native-land-area-representation",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-121.97222 32.082294, -83.157821 32.082294, -83.157821 48.078465, -121.97222 48.078465, -121.97222 32.082294))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "BIA Tribes (3 of 5): National Land Area Representation",
      "description": "The purpose of the American Indian and Alaska Native Land Area Representation (AIAN-LAR) Geographic Information System (GIS) dataset is to depict the external extent of federal Indian reservations and the external extent of associated land held in “trust” by the United States, “restricted fee” or “mixed ownership” status for federally recognized tribes and individual Indians. This dataset includes other land area types such as Public Domain Allotments, Dependent Indian Communities and Homesteads. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.",
      "keyword": [
        "United States",
        "geospatial",
        "Human",
        "020:118"
      ],
      "modified": "2026-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "bia-tribes-3-of-5-national-land-area-representation",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-131.666947 25.741516, -67.036125 25.741516, -67.036125 55.293975, -131.666947 55.293975, -131.666947 25.741516))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "BIA Tribes (1 of 5): Bureau of Indian Affairs Office Locations",
      "description": "This point layer depicts the locations of Bureau of Indian Affairs (BIA) offices.",
      "keyword": [
        "United States",
        "geospatial",
        "Human",
        "020:118"
      ],
      "modified": "2026-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "bia-tribes-1-of-5-bureau-of-indian-affairs-office-locations",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-149.8851 33.4484, -77.0426 33.4484, -77.0426 61.1868, -149.8851 61.1868, -149.8851 33.4484))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "BIA Tribes (2 of 5): Bureau of Indian Affairs Regional Boundaries",
      "description": "This polygon layer depicts the boundaries of the different Bureau of Indian Affairs (BIA) regions. ",
      "keyword": [
        "United States",
        "geospatial",
        "Human",
        "020:118"
      ],
      "modified": "2026-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "bia-tribes-2-of-5-bureau-of-indian-affairs-regional-boundaries",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.1473 24.4167, 179.7785 24.4167, 179.7785 71.3526, -179.1473 71.3526, -179.1473 24.4167))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "BIA Tribes (5 of 5): Tribal Statistical Areas",
      "description": "In Oklahoma, historic depictions of the land areas representations, as described in 1867-1870, were developed and called Tribal Statistical Areas (TSA) in the AIAN-LAR. These areas are similar to the Bureau of Census Oklahoma Tribal Statistical Areas (OTSA) which are areas used for the collection, tabulation and presentation of decennial census data for the 36 Federally- recognized American Indian tribes located in the state. No legal inference can or should be made from the TSA information in the GIS dataset. Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate tribe and then the BIA to obtain interpretations of the reservation boundary. This GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is to be used solely for illustrative, reference and statistical purposes and may be used for government to government Tribal consultation.  Reservation boundary data is limited in authority to those areas where there has been settled Congressional definition or final judicial interpretation of the boundary. Absent settled Congressional definition or final judicial interpretation of a reservation boundary, the BIA recommends consultation with the appropriate Tribe and then the BIA to obtain interpretations of the reservation boundary. The land areas and their representations are compilations defined by the official land title records of the Bureau of Indian Affairs (BIA) which include treaties, statutes, Acts of Congress, agreements, executive orders, proclamations, deeds and other land title documents. The trust, restricted, and mixed ownership land area shown here, are suitable only for general spatial reference and do not represent the federal government’s position on the jurisdictional status of Indian country. Ownership and jurisdictional status is subject to change and must be verified with plat books, patents, and deeds in the appropriate federal and state offices. Included in this dataset are the exterior extent of off reservation trust, restricted fee tracts and mixed tracts of land including Public Domain allotments, Dependent Indian Communities, Homesteads and government administered lands and those set aside for schools and dormitories. There are also land areas where there is more than one tribe having an interest in or authority over a tract of land but this information is not specified in the AIAN-LAR dataset. The dataset includes both surface and subsurface tracts of land (tribal and individually held) “off reservation” tracts and not simply off reservation “allotments” as land has in many cases been subsequently acquired in trust. These data are public information and may be used by various organizations, agencies, units of government (i.e., Federal, state, county, and city), and other entities according to the restrictions on appropriate use. It is strongly recommended that these data be acquired directly from the BIA and not indirectly through some other source, which may have altered or integrated the data for another purpose for which they may not have been intended. Integrating land areas into another dataset and attempting to resolve boundary differences between other entities may produce inaccurate results. It is also strongly recommended that careful attention be paid to the content of the metadata file associated with these data. Users are cautioned that digital enlargement of these data to scales greater than those at which they were originally mapped can cause misinterpretation. The BIA AIAN-LAR dataset’s spatial accuracy and attribute information are continuously being updated, improved and is used as the single authoritative land area boundary data for the BIA mission. These data are available through the Bureau of Indian Affairs, Office of Trust Services, Division of Land Titles and Records, Branch of Geospatial Support.",
      "keyword": [
        "geospatial",
        "020:118",
        "Oklahoma",
        "United States",
        "Human"
      ],
      "modified": "2026-06-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shared Enterprise Geodata Services (SEGS)",
        "hasEmail": "mailto:geoservices@epa.gov"
      },
      "identifier": "bia-tribes-5-of-5-tribal-statistical-areas",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-100.002569 33.628091, -94.431208 33.628091, -94.431208 36.999873, -100.002569 36.999873, -100.002569 33.628091))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (4 of 6): Off-reservation Trust Lands",
      "description": "This layer represents locations of American Indian Off-Reservation Trust Land areas in the lower 48 states. The areas include all Off-Reservation Trust Lands associated with Federally recognized tribal entities.\n\nChanges:\nMay 28, 2026: Three new records and one update were added to the Off-Reservation Trust Lands.\n",
      "keyword": [
        "geospatial",
        "Land",
        "020:118",
        "United States",
        "Downloadable Data"
      ],
      "modified": "2026-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Steve Lennartz",
        "hasEmail": "mailto:lennartz.steve@epa.gov"
      },
      "identifier": "1CF78239-0869-4CCD-9E3F-EFB3CE11F104",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-131.713346 25.757448, -67.035518 25.757448, -67.035518 55.294691, -131.713346 55.294691, -131.713346 25.757448))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2026-05-28",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (5 of 6): Oklahoma Tribal Statistical Areas",
      "description": "This layer represents locations of Oklahoma Tribal Statistical Areas in Oklahoma. The areas include all Oklahoma Tribal Statistical Areas associated with Federally recognized tribal entities.\n\nChanges:\nMay 28, 2026: Two records were updated to the Oklahoma Tribal Statistical Areas (OTSA).\n",
      "keyword": [
        "geospatial",
        "Land",
        "020:118",
        "United States",
        "Downloadable Data"
      ],
      "modified": "2026-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Steve Lennartz",
        "hasEmail": "mailto:lennartz.steve@epa.gov"
      },
      "identifier": "044EE76F-5F39-40FE-8123-375210C659D7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-131.713346 25.757448, -67.035518 25.757448, -67.035518 55.294691, -131.713346 55.294691, -131.713346 25.757448))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2026-05-28",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (6 of 6): Other Federally Recognized Tribes",
      "description": "This layer represents point locations for areas associated with federally recognized tribal entities in Virginia that do yet have boundaries in the Census American Indian, Alaska Native, Native Hawaii (AIANNH) feature class.\n\nChanges:\nMay 28, 2026: No updates were made to the Virginia Federally Recognized Tribes layer. It was discovered that the\n2025 Census geodatabase has three records with matching names for Chickahominy Tribe, VA, Chickahominy Indians\nEastern Division, and Rappahannock Tribe, VA. However, they are the Tribal Designated Statistical Areas (TDSAs). According to Census’s Help Desk for the Census TIGER/Line data, TDSAs are statistical areas created by the tribe and the Census Bureau through its Participant Statistical Areas Program (PSAP); TDSAs are not depictions of reservations or trust lands.",
      "keyword": [
        "geospatial",
        "Reservations",
        "Land",
        "020:118",
        "Tribal",
        "Virginia"
      ],
      "modified": "2026-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Steve Lennartz ",
        "hasEmail": "mailto:lennartz.steve@epa.gov"
      },
      "identifier": "79807C9E-FC78-46FA-B274-EF3D420F29E7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-79.1272539999999 36.8426470000001, -76.5652489999999 36.8426470000001, -76.5652489999999 37.9095960000001, -79.1272539999999 37.9095960000001, -79.1272539999999 36.8426470000001))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2021-07-28"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2026-05-28",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (3 of 6): American Indian Reservations",
      "description": "This layer represents locations of American Indian Reservation lands in the lower 48 states as well as Alaska. The areas include all Reservations associated with Federally recognized tribal entities.\n\nChanges:\nMay 28, 2026: Two new tribes that share the Wind River reservation boundaries are Northern Arapaho Tribe of the Wind River Reservation, Wyoming and Eastern Shoshone Tribe of the Wind River Reservation, Wyoming. The tribe that has a different boundary name in the 2025 Census geodatabase is Eastern Band of Cherokee Indians. Census changed it to Qualla Boundary. In addition, three reservation entities were removed due to their Census class code as \"D0\". See the document of \"EPA Geospatial Tribal Data 2026 Update\" for the details.\n",
      "keyword": [
        "geospatial",
        "Land",
        "020:118",
        "United States",
        "Downloadable Data"
      ],
      "modified": "2026-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Steve Lennartz",
        "hasEmail": "mailto:lennartz.steve@epa.gov"
      },
      "identifier": "B178E6D2-29E8-4966-8575-5446AC1A23FA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-131.713346 25.757448, -67.035518 25.757448, -67.035518 55.294691, -131.713346 55.294691, -131.713346 25.757448))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2026-05-28",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (1 of 6) : Alaska Native Allotments",
      "description": "This data set depicts native allotment parcels. Data attributes are a snapshot of the BLM-AK Land Information System Database and are only accurate as that database. \n\nChanges:\nMay 28, 2026: There are no changes.\n",
      "keyword": [
        "certificate of allotment",
        "Alaska",
        "Native Allotment",
        "geospatial",
        "land status",
        "Geospatial",
        "conveyed",
        "COA",
        "patented",
        "surveyed",
        "Management",
        "selected",
        "application",
        "Downloadable Data"
      ],
      "modified": "2022-08-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Department of Interior, Bureau of Land Management (BLM), Alaska State Office"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "U.S. Department of Interior, Bureau of Land Management (BLM), Alaska State Office",
        "hasEmail": "mailto:jlotz@blm.gov"
      },
      "identifier": "1156219C-0885-4013-B277-AAD9F17F0511",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "None, these data are considered public domain."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-179.0 51.3, -129.9 51.3, -129.9 71.4, -179.0 71.4, -179.0 51.3))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2022-04-05",
          "endDate": "2022-04-05"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-08-29",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Tribes (2 of 6):  Alaska Native Villages",
      "description": "This layer represents center points of Alaska Native Villages. The Alaska Native Villages are associated with Federally recognized tribal entities.\n\nChanges:\nMay 28, 2026: There three name updates for the Alaska Native Entities according to the Tribe Mapping Entity Spreadsheet from the EPA Tribes Names Service.",
      "keyword": [
        "Alaska",
        "geospatial",
        "Reservations",
        "Land",
        "020:118",
        "Tribal"
      ],
      "modified": "2026-05-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Office of Finance and Administration"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Steve Lennartz",
        "hasEmail": "mailto:lennartz.steve@epa.gov"
      },
      "identifier": "A1AB427E-FA43-4481-B0CA-0576EDAEE18A",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-174.189206 52.190962, -131.595826 52.190962, -131.595826 71.290526, -174.189206 71.290526, -174.189206 52.190962))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2026-05-28",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF ACRES",
      "description": "EF_ACRES is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the 'ACRES' (Assessment, Cleanup and Redevelopment Exchange System) program.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Response",
        "Oregon",
        "Land",
        "North Dakota",
        "Spills",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-acres",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2019-10-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_ACRES.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF BR",
      "description": "EF_BR is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the 'BR' (Biennial Report) program. The program query is 'BR'. The BR subset is updated weekly.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Washington",
        "Connecticut",
        "Nebraska",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "Utah",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Virgin Islands",
        "Texas",
        "Alaska",
        "West Virginia",
        "Air",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Virginia",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-br",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-09-13",
          "endDate": "2016-09-13"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_BR.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF ICIS_AIR",
      "description": "EF_ICIS_AIR is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the 'ICIS-AIR' (Integrated Compliance Information System for Air) program. The program query is 'AIR'. The ICIS-AIR subset is updated weekly.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Washington",
        "Connecticut",
        "Nebraska",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "Utah",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Virgin Islands",
        "Texas",
        "Alaska",
        "West Virginia",
        "Air",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Virginia",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-icis-air",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-09-13",
          "endDate": "2016-09-13"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_ICIS_AIR.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviro.epa.gov/",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF NPDES",
      "description": "EF_NPDES is a subset of facilities from FRS_PROGRAM_FACILITY and associataed best-available geospatial coordinates which are refreshed daily. The layer shows only points from the NPDES (National Pollutant Discharge Elimination System) and PCS (Permit Compliance System) programs as reported in ICIS (Integrated Compliance Information System).",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Permits",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Compliance",
        "United States",
        "Maryland",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "Water",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Drinking Water",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Ground Water",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Massachusetts",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-npdes",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-02-29",
          "endDate": "2012-02-29"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_NPDES.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://enviro.epa.gov/",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF NPL",
      "description": "EF_NPL is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refreshed daily.     The layer shows only NPL (National Priority List) points from the SEMS (Superfund Enterprise Management System) database.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Contaminant",
        "Washington DC",
        "Maine",
        "Environment",
        "Oregon",
        "North Dakota",
        "Spills",
        "Iowa",
        "Facilities",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Kansas",
        "Montana",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Compliance",
        "Remediation",
        "United States",
        "Maryland",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "Utah",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Drinking Water",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Ground Water",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Texas",
        "Alaska",
        "Mississippi",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Virginia",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-npl",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2019-10-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_NPL.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF RCRA",
      "description": "EF_RCRA is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the RCRAInfo (Resource Conservation and Recovery Act Information) program.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "United States",
        "Maryland",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Massachusetts",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-rcra",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2019-10-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_RCRA.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EF TRI",
      "description": "EF_TRI is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the TRIS (Toxics Release Inventory System) program.",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Response",
        "Environment",
        "Oregon",
        "North Dakota",
        "Spills",
        "Iowa",
        "environment",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Risk",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "United States",
        "Maryland",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Energy",
        "Ecology",
        "American Samoa",
        "Wisconsin",
        "Quality",
        "Sites",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Massachusetts",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marty Martinez",
        "hasEmail": "mailto:martinez.michael@epa.gov"
      },
      "identifier": "ef-tri",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-10-01",
          "endDate": "2019-10-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2019-10-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-data-commons-oms.s3.amazonaws.com/EF/GIS/EF_TRI.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Grants (2013 - present)",
      "description": "EPA's management information system for grants programs is the Integrated Grants Management System (IGMS), which awards, administers, and monitors grants. Grants are regularly awarded to Federal, State, or local government agencies, universities, and other institutions that support EPA's environmental programs. Specific types of agreements include assistance agreements, grants, cooperative agreements, interagency agreements, and other types of program support agreements administered by Headquarters or EPA regions. This dataset contains point locations for grants given out by the USEPA.",
      "keyword": [
        "United States",
        "geospatial",
        "Grants"
      ],
      "modified": "2018-09-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "epa-grants-2013-present",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-171.71051 -14.302282, 145.746726 -14.302282, 145.746726 71.29346, -171.71051 71.29346, -171.71051 -14.302282))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-09-07",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "USEPA Grants",
      "description": "EPA's management information system for grants programs is the Integrated Grants Management System (IGMS), which awards, administers, and monitors grants. Grants are regularly awarded to Federal, State, or local government agencies, universities, and other institutions that support EPA's environmental programs. Specific types of agreements include assistance agreements, grants, cooperative agreements, interagency agreements, and other types of program support agreements administered by Headquarters or EPA regions. This dataset contains point locations for all grants given out by the USEPA going back to the 1960s till the end of 2012.",
      "keyword": [
        "United States",
        "geospatial",
        "Grants"
      ],
      "modified": "2012-02-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "usepa-grants",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-174.20005 17.70101, -64.6851 17.70101, -64.6851 71.29507, -174.20005 71.29507, -174.20005 17.70101))"
        }
      ],
      "issued": "2012-02-15",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Grant POPs",
      "description": "This geospatial dataset contains points that depict the locations of and information about EPA grant places of performance. ",
      "keyword": [
        "geospatial",
        "020:072",
        "Impact",
        "United States",
        "Human"
      ],
      "modified": "2022-02-23",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kim Balassiano",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "epa-grant-pops",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-174.18922 -33.91994, 151.01181 -33.91994, 151.01181 71.113815, -174.18922 71.113815, -174.18922 -33.91994))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Air Emissions/IGD: EF_ICIS_AIR",
      "description": "EF_ICIS_AIR is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refreshed daily. The layer shows only points from the 'ICIS-AIR' (Integrated Compliance Information System for Air) program. The program query is 'AIR'. The ICIS-AIR subset is updated weekly.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Facilities",
        "Iowa",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "020:045",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "Air",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Mission Support"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Shane Knipschild",
        "hasEmail": "mailto:knipschild.shane@epa.gov"
      },
      "identifier": "02F370F4-A203-4B43-97A6-3DE1ADFF70C7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.662222 13.3949, 144.89736 13.3949, 144.89736 71.301231, -176.662222 71.301231, -176.662222 13.3949))"
        }
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      "temporal": [
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      "accrualPeriodicity": "R/P1W",
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      "issued": "2019-10-01",
      "distribution": [
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        "Montana",
        "Kansas",
        "Tennessee",
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        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
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        "Idaho",
        "California",
        "Hazards",
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        "Utah",
        "Massachusetts",
        "Human",
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      "modified": "2019-10-01",
      "publisher": {
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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        "Washington",
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        "Louisiana",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
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        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
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        "Oklahoma",
        "Colorado",
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        "Virgin Islands",
        "Alaska",
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        "Washington",
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        "New Jersey",
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        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
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        "American Samoa",
        "Wisconsin",
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        "Puerto Rico",
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        "New Mexico",
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        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
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        "Oregon",
        "North Dakota",
        "Spills",
        "Iowa",
        "Health",
        "Ohio",
        "020:117",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Conservation",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Risk",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "United States",
        "Maryland",
        "Cleanup",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Energy",
        "Ecology",
        "American Samoa",
        "Wisconsin",
        "Quality",
        "Sites",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Massachusetts",
        "geospatial",
        "Pennsylvania",
        "Nevada",
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        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "Human",
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      ],
      "modified": "2019-10-01",
      "publisher": {
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      },
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        "Delaware",
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        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Permits",
        "Iowa",
        "Health",
        "Ohio",
        "South Dakota",
        "Tennessee",
        "Montana",
        "Kansas",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Compliance",
        "United States",
        "Maryland",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "Water",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Drinking Water",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Ground Water",
        "Monitoring",
        "Oklahoma",
        "Colorado",
        "Vermont",
        "Virgin Islands",
        "Alaska",
        "Mississippi",
        "Texas",
        "West Virginia",
        "Massachusetts",
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        "020:038",
        "Pennsylvania",
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        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Puerto Rico",
        "Human",
        "Minnesota"
      ],
      "modified": "2019-10-01",
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      },
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      "bureauCode": [
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "@type": "dcat:Dataset",
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        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
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        "North Dakota",
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        "Health",
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        "South Dakota",
        "Montana",
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        "Tennessee",
        "North Carolina",
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        "Missouri",
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        "Illinois",
        "Nebraska",
        "Connecticut",
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        "Florida",
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        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
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        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
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        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Colorado",
        "Oklahoma",
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        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
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        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
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      "modified": "2020-02-21",
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      },
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      "accessLevel": "public",
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          "endDate": "2021-02-24"
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      "issued": "2020-02-24",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "RCRA Generators",
      "description": "EPA regulates hazardous waste under the Resource Conservation and Recovery Act (RCRA) to ensure these wastes are managed in ways that protect human health and the environment. Generators of hazardous waste are regulated based on the amount of hazardous waste they generate in a calendar month, not the size of their business or facility. This data includes 5 categories of hazardous waste generators:\n\nLQG: Large Quantity Generators (LQGs), as part of EPA’s RCRAInfo system, generate 1,000 kilograms per month or more of hazardous waste or more than one kilogram per month of acutely hazardous waste. The data are extracted from RCRAInfo with the GENSTATUS flag that equals “LQG”.\n\nSQG: Small Quantity Generators (SQGs), as part of EPA’s RCRAInfo system,  generate more than 100 kilograms, but less than 1,000 kilograms of hazardous waste per month. The data are extracted from RCRAInfo with the GENSTATUS flag that equals “SQG”.\n\nVSQG: Very Small Quantity Generators (VSQGs), as part of EPA’s RCRAInfo system, generate 100 kilograms or less per month of hazardous waste or one kilogram or less per month of acutely hazardous waste. The data are extracted from RCRAInfo with the GENSTATUS flag that equals “VSQG”.\n\nCEG: Conditionally Exempt Small Quantity Generators (CESQGs), as part of EPA’s RCRAInfo system,  generate no more than 100 kilograms of hazardous waste per month. The data are extracted from RCRAInfo with the GENSTATUS flag that equals “CEG” (CEG is a standardized tag for CESQG in RCRAInfo database).\n\nTDSF: The Treatment, Storage, and Disposal Facilities (TSDF) are the generators of EPA’s RCRAInfo system that generate, treat, store, and dispose of hazardous waste. The data are extracted from RCRAInfo with the ACTIVE_SITE flag that contains “P”. \n",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Health",
        "Ohio",
        "020:089",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "United States",
        "Louisiana",
        "Florida",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Sites",
        "Quality",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Toxics",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Monitoring",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Waste",
        "Rhode Island",
        "Idaho",
        "California",
        "Hazards",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2020-02-21",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Julie Kocher",
        "hasEmail": "mailto:Kocher.Julie@epa.gov"
      },
      "identifier": "714A98EB-596A-4EEE-8418-E0782FE5D341",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-178.051111 -14.321981, 173.167019 -14.321981, 173.167019 71.35589, -178.051111 71.35589, -178.051111 -14.321981))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-02-24",
          "endDate": "2021-02-24"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2020-02-24",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Brownfields Grants",
      "description": "This layer provides point locations for Brownfields Grants as derived from the Cleanups in My Community (CIMC) database. Locations were derived from Cleanups in My Community areas and points.  For areas, a centroid was created for each area or place of performance. For grants where there were multiple areas, a centroid was created for each of those areas and then inserted into the layer as separate records, with each record representing a centroid.",
      "keyword": [
        "United States",
        "Cleanup",
        "geospatial",
        "Grants"
      ],
      "modified": "2012-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kim Balassiano",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "{6C09CC98-17A9-468C-ACA7-15A8EBB74FFD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-174.20005 17.70101, -64.6851 17.70101, -64.6851 71.29507, -174.20005 71.29507, -174.20005 17.70101))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1995-07-01",
          "endDate": "2015-09-01"
        }
      ],
      "issued": "2012-05-07",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA CARE Grants",
      "description": "This is a provisional dataset that contains point locations for the subset of Community Action for a Renewed Environment (CARE) grants given out by the US EPA. CARE is a competitive grant program that offers an innovative way for a community to organize and take action to reduce toxic pollution in its local environment. There are many limitations to the data so it is advised that these metadata be read carefully before use. Although the records for these grant locations are drawn directly from the official EPA grants repository (IGMS Integrated Grants Management System), it is important to know that the IGMS was designed for purposes that did not include accurately portraying the grants place of performance on a map. Instead, the IGMS grant recipients mailing address is the primary source for grant locations. Particularly for statewide grants that are administered via State and Regional headquarters, the grant location data should not be interpreted as the grants place of performance. In 2012, a policy was established to start to collect the place of performance as a pilot for newly awarded grants that were deemed community-based in nature and for these the grant location depicted in this database will be a more reliable indicator of the actual place of performance. As for the locational accuracy of these points, there is no programmatic certification process, however, they are being entered by the Grant Project Officers who are most familiar with the details of the grants, apart from the grantees themselves. Limitations notwithstanding, this is a first-of-breed attempt to map all of the Agencys grants, using the best internal geocoding algorithms available, and is a useful tool for getting to an understanding of the distribution of USEPA grant-giving. The CARE Grants layer contains Places of Performance for single locations or areas where CARE grants are applied.",
      "keyword": [
        "United States",
        "Cleanup",
        "geospatial",
        "Grants"
      ],
      "modified": "2012-05-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kim Balassiano",
        "hasEmail": "mailto:balassiano.kim@epa.gov"
      },
      "identifier": "{B9286C32-7897-4F8C-A688-D31FB0D4BF84}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-174.20005 17.70101, -64.6851 17.70101, -64.6851 71.29507, -174.20005 71.29507, -174.20005 17.70101))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-07-01",
          "endDate": "2011-09-01"
        }
      ],
      "issued": "2012-05-07",
      "language": [
        "en"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Access to Jobs and Workers via Transit - Download",
      "description": "A collection of performance indicators and regional benchmarks for consistently comparing neighborhoods (census block groups) across the US in regards to their accessibility to jobs or workers via public transit service. Accessibility was modeled by calculating total travel time between block group centroids inclusive of walking to/from transit stops, wait times, and transfers. Block groups that can be accessed in 45 minutes or less from the origin block group are considered accessible. Indicators reflect public transit service in December 2012 and employment/worker counts in 2010. Coverage is limited to census block groups within metropolitan regions served by transit agencies who share their service data in a standardized format called GTFS.",
      "modified": "2014-03-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Sustainable Communities"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John V. Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "{8E9DDDA1-1F38-44F0-9114-CD81DC15019A}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2014-03-19",
      "language": [
        "en"
      ],
      "theme": [
        "transportation"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OLEM/SLD/SLD_trans45.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Access to Jobs and Workers via Transit - Service",
      "description": "A collection of performance indicators and regional benchmarks for consistently comparing neighborhoods (census block groups) across the US in regards to their accessibility to jobs or workers via public transit service. Accessibility was modeled by calculating total travel time between block group centroids inclusive of walking to/from transit stops, wait times, and transfers. Block groups that can be accessed in 45 minutes or less from the origin block group are considered accessible. Indicators reflect public transit service in December 2012 and employment/worker counts in 2010. Coverage is limited to census block groups within metropolitan regions served by transit agencies who share their service data in a standardized format called GTFS.",
      "modified": "2014-03-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Sustainable Communities"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John V. Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "{09649C32-7B39-4690-BFFB-88B250F6DF1B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2014-03-19",
      "language": [
        "en"
      ],
      "theme": [
        "transportation"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OA/SLD_Trans45/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "RE-Powering Mapper: Alternative Energy Potential at Cleanup Sites",
      "description": "The U.S. Environmental Protection Agency (EPA) Office of Land and Emergency Management’s (OLEM) Office of Communications, Partnerships and Analysis (OCPA) initiated the RE-Powering America's Land Initiative to demonstrate the enormous potential that contaminated lands, landfills, and mine sites provide for developing renewable energy in the United States. \n\nEPA developed national level site screening criteria in partnership with the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) for wind, solar, biomass, and geothermal facilities. While the screening criteria demonstrate the potential to reuse contaminated land for renewable energy facilities, the criteria and data are neither designed to identify the best sites for developing renewable energy nor all-inclusive. Therefore, more detailed, site-specific analysis is necessary to identify or prioritize the best sites for developing renewable energy facilities based on the technical and economic potential. Please note that these sites were only pre-screened for renewable energy potential. \n\nThe sites were not evaluated for land use constraints or current on the ground conditions. Additional research and site-specific analysis are needed to verify viability for renewable energy potential at a given site.  ",
      "keyword": [
        "RE-powering",
        "geospatial",
        "Environment",
        "renewable energy",
        "mine sites",
        "landfills",
        "NREL.",
        "Alternative energy",
        "United States",
        "contaminated lands"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) Office of Communications, Partnerships and Analysis (OCPA)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Trish Taylor",
        "hasEmail": "mailto:Taylor.Trish@epa.gov"
      },
      "identifier": "{980A5659-9D0F-4A60-9183-3BBB49CD5CD6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "issued": "2013-08-05",
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://epa.maps.arcgis.com/home/item.html?id=23234b93543841a3aec7606797e462c7",
          "description": "URL providing direct access to the downloadable distribution of the data.",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Assessment, Cleanup and Redevelopment Exchange System (ACRES)",
      "description": "ACRES is an online database for recipients of Brownfields Grants/Contracts to electronically submit data directly to EPA. ACRES is used to report assessment, cleanup and redevelopment activities at properties where EPA Brownfields funding was expended under Assessment, Cleanup, Revolving Loan Fund, Multipurpose and 128(a) State and Tribal Grants. Recipients of Targeted Brownfield Assessment (TBA) Contracts, Brownfields Job Training Grants and Brownfields Technical Assistance Grants/Contracts also report relevant project data in ACRES.\n\nACRES users are restricted to EPA Brownfields staff and EPA Brownfields Grant/Contract recipients. Site-specific data from ACRES is uploaded to Cleanups in My Community (CIMC) on the 4th and 18th of each month. The public can use CIMC to search Brownfields data using filter criteria and then can download the data to a spreadsheet, as needed. See the CIMC webpage for additional details.",
      "keyword": [
        "Environmental Media Topics",
        "geospatial",
        "Chemicals",
        "DataFinder",
        "Environment",
        "Species",
        "Substances",
        "United States",
        "Pesticides"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Solid Waste and Emergency Response (OSWER)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Nicole Wireman",
        "hasEmail": "mailto:Wireman.Nicole@epa.gov"
      },
      "identifier": "{781D9740-8A7A-4E7D-990A-D0F1B5759C02}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://acres6.epa.gov",
        "title": "Assessment, Cleanup and Redevelopment Exchange System (ACRES)"
      },
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Cleanups in My Community",
      "description": "Esri Feature Service containing the universe of designated \"Cleanup Sites\" accessible from EPA's Cleanups in my Community (CIMC) mapping and data access application. The Cleanup Sites layer contains sites, facilities and properties for which EPA collects information by law, or voluntarily via grants. At present, this does not include state or locally funded cleanups. In addition, these data are updated according to certain update or refresh schedules which vary by application and may not yet reflect real changes at the locations covered here. Currently, CIMC includes data for the following EPA cleanup programs: Brownfields Properties: Grantees may report information on Brownfield properties receiving federal grants. Data, which dates back as far as 1998, are collected from grantees via ACRES. These data are pulled into CIMC twice a month. Brownfields Grants Jurisdictions: Geographic areas covered by specific Brownfields grants. These data are collected through ACRES. These data are pulled into CIMC twice a month. RCRA Corrective Action: Facilities cleaned up under the corrective action program of the Resource Conservation and Recovery Act (RCRA). These data, dating back to 198No, are collected from the states using RCRAInfo. Only facilities data which states designate as being on the 2020 Baseline for Corrective Action and for public access are included in CIMC. These data are pulled from the RCRAInfo web service twice a month. Superfund: Superfund sites that are on the National Priority List, are proposed for the NPL and have been deleted from the NPL are in CIMC going back to 1982. Data are collected from EPA Regions via the Superfund Public Use Database and are pulled into CIMC twice a month. Federal Facilities and Federal Agency Hazardous Waste Compliance Docket: Sites that are owned by federal government agencies and have hazardous waste cleanups are included in CIMC. Data are collected using the Superfund Enterprise Management System public database, the Federal Registry System and RCRAInfo and are pulled into CIMC twice a month. Removals/Responses: Generally, more urgent cleanups. Data are provided by On Scene Coordinators through epaosc.org and pulled into CIMC twice a month for additional access to the public. However, data about Incidents of National Significance are located on their own EPA web pages, and CIMC links to those pages. Recovery Act Funded Cleanups: CIMC provides information on Superfund and Brownfields site cleanups that received ARRA Recovery Act funding, but not on the Leaking Underground Storage Tanks sites. For information on all EPA Recovery Act funded work, please see: EPA’s Recovery Mapper. The CIMC application can be accessed at https://cimc.epa.gov",
      "keyword": [
        "Washington DC",
        "Response",
        "Land",
        "Facilities",
        "Spills",
        "Indicator",
        "Hawaii",
        "Remediation",
        "United States",
        "Cleanup",
        "Water",
        "Sites",
        "American Samoa",
        "Monitoring",
        "Virgin Islands",
        "Alaska",
        "geospatial",
        "Waste",
        "Emergency",
        "Puerto Rico"
      ],
      "modified": "2012-05-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "James (Trip) Hook",
        "hasEmail": "mailto:Hook.James@epa.gov"
      },
      "identifier": "cleanups-in-my-community",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-05-24",
          "endDate": "2012-05-24"
        }
      ],
      "accrualPeriodicity": "R/P1M",
      "issued": "2012-05-24",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://cimc.epa.gov",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Cleanups In My Community (CIMC) - Brownfields Grant Jurisdictions, National Layer",
      "description": "This data layer provides access to Brownfields Grant Jurisdictions as part of the CIMC web service.  The data represent polygonal boundaries that show different types of grants.  Only properties benefiting from EPA Brownfields grant funding and technical assistance appear in Cleanups in My Community. There are different types of grants and each grant covers a specific area of geography. Grant areas can overlap, and often do. On the map, Brownfields jurisdictions will be shown as colored boundaries. Grant Jurisdictions have their own reports and fact sheet. For more information on Brownfields grants, see Brownfields Grants and Funding at https://www.epa.gov/brownfields/types-brownfields-grant-funding.    The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.",
      "keyword": [
        "Environment",
        "020:007",
        "Land",
        "Facilities",
        "Spills",
        "Health",
        "Emergency Response",
        "Hazardous Waste",
        "Ground",
        "Risk",
        "Remediation",
        "020:009",
        "United States",
        "Cleanup",
        "Regulatory",
        "Sites",
        "Live Data and Maps",
        "Toxics",
        "Ground Water",
        "Impact",
        "geospatial",
        "020:006",
        "Waste",
        "Emergency",
        "Human"
      ],
      "modified": "2013",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "James (Trip) Hook",
        "hasEmail": "mailto:Hook.James@epa.gov"
      },
      "identifier": "DFA4090C-4D41-468D-A06A-D41E545E2305",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "None."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.6525 -14.3601, 151.78372 -14.3601, 151.78372 70.455278, -176.6525 70.455278, -176.6525 -14.3601))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2015"
        }
      ],
      "accrualPeriodicity": "R/P1M",
      "describedBy": {
        "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=721205994714418da71ef3cfd01ab02e"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Zipped File Geodatabase",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/index.html#OLEM/OLEM-OPM/",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "title": "Cleanups in My Community mapping application",
          "accessURL": "https://www.epa.gov/cleanups/cleanups-my-community",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Cleanups In My Community (CIMC) - Sites, National Layer",
      "description": "Accidents, spills, leaks, and past improper disposal and handling of hazardous materials and wastes have resulted in tens of thousands of sites across our country that have contaminated our land, water (groundwater and surface water), and air (indoor and outdoor). EPA and its state and territorial partners have developed a variety of cleanup programs to assess and, where necessary, clean up these contaminated sites. CIMC (www.epa.gov/cimc) brings together the data from many of these cleanup programs and lets people map, list and access cleanup progress profiles for sites across the US so that people can know what is going on in their communities.     The CIMC web service provides access to the mapping component of the CIMC web application. The Cleanups in My Community (CIMC) web service contains the following map layers: Incidents of National Significance (from the epa.gov website) – with links to the relevant web pages, Superfund NPL sites (propose, final and deleted)(from SEMS) – with links to the cleanup profiles, RCRA Corrective Action Sites (by various cleanup categories)(2020 baseline facilities only, not all RCRA sites because RCRA sites that are not corrective action are not cleanups)(from RCRAInfo) – with links to the cleanup profiles, Brownfields Properties (by grant type)(from ACRES) – with links to the cleanup profiles, Brownfields Grant jurisdictions (polygons)(from ACRES) – with links to the grant information, Federal facilities that are also Superfund or RCRA CA sites and BRAC (from the epa.gov page for federal facilities), Recovery Act locations (for Superfund and Brownfields only) (from SEMS and ACRES), Emergency removals (from EPAOSC.net). The CIMC web service was initially published in 2013, but the data are updated twice a month. The full schedule for data updates in CIMC is located here: https://ofmpub.epa.gov/frs_public2/frs_html_public_pages.frs_refresh_stats.",
      "keyword": [
        "Environment",
        "020:107",
        "Land",
        "Facilities",
        "Spills",
        "020:108",
        "Health",
        "Emergency Response",
        "020:089",
        "Hazardous Waste",
        "Ground",
        "Risk",
        "Remediation",
        "United States",
        "Cleanup",
        "Regulatory",
        "020:088",
        "020:106",
        "020:109",
        "Sites",
        "Live Data and Maps",
        "Toxics",
        "Ground Water",
        "Impact",
        "geospatial",
        "020:111",
        "020:006",
        "Waste",
        "020:105",
        "Emergency",
        "Human"
      ],
      "modified": "2013",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "James (Trip) Hook",
        "hasEmail": "mailto:Hook.James@epa.gov"
      },
      "identifier": "cleanups-in-my-community-cimc-sites-national-layer",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "None."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.6525 -14.3601, 151.78372 -14.3601, 151.78372 70.455278, -176.6525 70.455278, -176.6525 -14.3601))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015",
          "endDate": "2015"
        }
      ],
      "accrualPeriodicity": "R/P0.5M",
      "describedBy": {
        "accessURL": "https://epa.maps.arcgis.com/home/item.html?id=d5b2a9f54e014424aa324263dd32b5bf"
      },
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Zipped File Geodatabase",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/index.html#OLEM/OLEM-OPM/",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "title": "Cleanups in My Community mapping application",
          "accessURL": "https://www.epa.gov/cleanups/cleanups-my-community",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Waste Sampling Data for BP Spill/Deepwater Horizon",
      "description": "The Deepwater Horizon oil spill (also referred to as the BP oil spill) began on 20 April 2010 in the Gulf of Mexico on the BP-operated Macondo Prospect. Following the explosion and sinking of the Deepwater Horizon oil rig, a sea-floor oil gusher flowed for 87 days, until it was capped on 15 July 2010. In response to the BP oil spill, EPA sampled air, water, sediment, and waste generated by the cleanup operations.",
      "keyword": [
        "Mississippi",
        "Contaminant",
        "geospatial",
        "Environment",
        "Response",
        "Waste",
        "Alabama",
        "Human",
        "Toxics",
        "Disaster",
        "Emergency",
        "Hazards",
        "Louisiana",
        "Cleanup",
        "Health",
        "Florida"
      ],
      "modified": "2011-04-29",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management - Office of Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Josh Krochmal",
        "hasEmail": "mailto:krochmal.josh@epa.gov"
      },
      "identifier": "waste-sampling-data-for-bp-spill-deepwater-horizon",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-04-28",
          "endDate": "2010-09-18"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2011-04-29",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OLEM/OLEM-OEM/DWH_Waste_Sampling.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Jobs within a 30-minute transit ride - Download",
      "description": "A collection of performance indicators for consistently comparing neighborhoods (census block groups) across the US in regards to their accessibility to jobs or workers via public transit service. Accessibility was modeled by calculating total travel time between block group centroids inclusive of walking to/from transit stops, wait times, and transfers. Block groups that can be accessed in 30 minutes or less from the origin block group are considered accessible. Indicators reflect public transit service in December 2012 and employment/worker counts in 2010. Coverage is limited to census block groups within metropolitan regions served by transit agencies who share their service data in a standardized format called GTFS. All variable names refer to variables in EPA's Smart Location Database. For instance EmpTot10_sum summarizes total employment (EmpTot10) in block groups that are reachable within a 30-minute transit and walking commute. See Smart Location Database User Guide for full variable descriptions.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Louisiana",
        "Florida",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2014-03-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Sustainable Communities"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John V. Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "{1B762BFE-5C63-4CA7-81FC-5A7371295A61}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2014-03-19",
      "language": [
        "en"
      ],
      "theme": [
        "transportation"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OP/SLD/SLD_trans30.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Jobs Within a 30-minute Transit and Walking Commute",
      "description": "Jobs Within a 30-minute Transit and Walking Commute",
      "modified": "2026-08-11",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "{781BDD8F-2BF4-4072-86E9-FA67BC6C5E8B}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-178.443606 21.199241, -69.858861 21.199241, -69.858861 48.657839, -178.443606 48.657839, -178.443606 21.199241))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Sampling Data for Hurricane Katrina",
      "description": "Hurricane Katrina made landfall in August 2005, causing widespread devastation along the Gulf Coast of the United States. EPA emergency response personnel worked with FEMA and state and local agencies to respond to the emergencies throughout the Gulf. This data asset contains air, water, sediment, and soil sampling collected as a part of EPA's response.",
      "keyword": [
        "Contaminant",
        "geospatial",
        "Environment",
        "Response",
        "Sites",
        "Toxics",
        "Hazards",
        "Disaster",
        "Emergency",
        "United States",
        "Louisiana"
      ],
      "modified": "2013-09-26",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management - Office of Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Peter Oh",
        "hasEmail": "mailto:Oh.Peter@epa.gov"
      },
      "identifier": "88986F54-EABD-47D5-9CAF-B0B5BC67175D",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-09-03",
          "endDate": "2006-11-17"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://edg.epa.gov/data/Public/OLEM/OLEM-OEM/KatrinaSoilSampling.zip"
      },
      "issued": "2013-09-26",
      "language": [
        "en"
      ],
      "theme": [
        "geoscientificInformation"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OLEM/OLEM-OEM/Katrina_Air_Quality_Sampling_Daily_Monitoring.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Local Emergency Planning Committee (LEPC) Data",
      "description": "The LEPC data set contains over 3000 listings, as of 2008, for name and location data identifying Local Emergency Planning Committees (LEPCs).  LEPCs are people responsible to develop an emergency response plan, review it at least annually, and provide information about chemicals in the community to citizens.  Plans are developed by LEPCs with stakeholder participation. There is one LEPC for each of the more than 3,000 designated local emergency planning districts. The LEPC membership must include (at a minimum):  Elected state and local officials; Police, fire, civil defense, and public health professionals; Environment, transportation, and hospital officials; Facility representatives; Representatives from community groups and the media.",
      "keyword": [
        "United States",
        "geospatial",
        "Safety",
        "Environment",
        "EPCRA",
        "First Responder",
        "Local Emergency Planning Committees",
        "LEPCs",
        "Accident Prevention",
        "Risk Reduction",
        "Chemical Hazards",
        "State Emergency Response Commission",
        "Superfund Amendments and Reauthorization Act",
        "SARA",
        "SERC"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Solid Waste and Emergency Response (OSWER) - Office of Emergency Management (OEM)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jennifer Barre",
        "hasEmail": "mailto:Barre.Jennifer@epa.gov"
      },
      "identifier": "9E1AD3C6-EF26-4C88-A898-64394A18F39E",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "isPartOf": "284C013B-9D10-46EA-9E12-489D2B381022",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NGBS: Points for Smart Location Practices",
      "description": "These map layers present the number of National Green Building Standard points awarded for a project site or lot’s relative walkability, and accessibility to jobs via transit or within a 45-minute drive. This map presents information on the following criteria included in the 2020 National Green Building Standard: • Section 405.6(7) - Points for sites located in census block groups with above-average transit access to employment. (See variable D5b in Smart Location Database Technical Documentation and User Guide (2014) for background) • Section 405.6(8) - Points for sites located in census block groups with above-average access to employment within a 45-minute drive (See variable D5a in Smart Location Database Technical Documentation and User Guide (2014) for background on methods) • Section 501.2(4) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) • Section 11.501.2(3) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) Using data available through EPA’s Smart Location Database and National Walkability Index, relative walkability and accessibility to jobs via transit or within a 45-minute drive for census block groups were calculated and ranked into quartile groups. The regional comparison was made by considering the score of each individual census block group as a ratio of the average score of the county in which it is located. Those block groups with scores in the highest two quartiles nationally are eligible for NGBS points per the Sections noted above. Details on methodologies and datasets includes in the Smart Location Database and National Walkability Index can be found here: https://www.epa.gov/smartgrowth/smart-location-mapping#SLD",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Regulatory",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-11-07",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "{D551F0CD-7781-4CD5-8692-06AFB931B3D0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 2.969871, 180.0 2.969871, 180.0 90.0, -180.0 90.0, -180.0 2.969871))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2006-01-01",
          "endDate": "2013-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2018-11-07",
      "language": [
        "en"
      ],
      "theme": [
        "health"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OA/NGBS/MapServer",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Projected groundwater emergence and shoaling along the U.S. North Eastern coasts",
      "description": "Groundwater emergence and shoaling extents are derived from water table depth GeoTIFFs, which are calculated as steady-state groundwater model heads subtracted from high-resolution topographic digital elevation model (DEM) land surface elevations. Results are provided as image services of water table depth in specific depth ranges (lt 0 m, 0 m, 1 m, 2 m, 3-5 m, gt 5 m). Scenarios include: Kzell0p1_slr0p00m, Kzell0p1_slr0p25m, Kzell0p1_slr0p50m, Kzell0p1_slr1p00m, Kzell0p1_slr1p50m, Kzell0p1_slr2p00m, Kzell0p1_slr2p50m, Kzell0p1_slr3p00m, Kzell1_slr0p00m, Kzell1_slr0p25m, Kzell1_slr0p50m, Kzell1_slr1p00m, Kzell1_slr1p50m, Kzell1_slr2p00m, Kzell1_slr2p50m, Kzell1_slr3p00m, Kzell10_slr0p00m, Kzell10_slr0p25m, Kzell10_slr0p50m, Kzell10_slr1p00m, Kzell10_slr1p50m, Kzell10_slr2p00m, Kzell10_slr2p50m, Kzell10_slr3p00m.",
      "keyword": [
        "Beaches",
        "Environment",
        "earth sciences",
        "Water Depth",
        "Hazards Planning",
        "Water",
        "Floods",
        "mathematical modeling",
        "United States, Maine, New Hampshire, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Pennsylvania, Delaware, Maryland, Virginia, Washington DC",
        "Ground Water",
        "Sea Level Rise",
        "Groundwater Flow",
        "effects of climate change",
        "Sea-level Change",
        "Physical Habitats and Geomorphology",
        "sea level change",
        "geospatial",
        "Climate Change",
        "020:072",
        "floods"
      ],
      "modified": "2025-12-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Meridith Fry, Ph.D.",
        "hasEmail": "mailto:fry.meridith@epa.gov"
      },
      "identifier": "B150B2F1-3335-4E40-8567-CD406A385061",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-77.636105 37.8476, -69.949024 37.8476, -69.949024 45.296173, -77.636105 45.296173, -77.636105 37.8476))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2025-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://geopub.epa.gov/ArcGIS/rest/services/OLEM_WTD"
      },
      "issued": "2025-12-04",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Resource Conservation and Recovery Act Information (RCRAInfo)",
      "description": "The Resource Conservation and Recovery Act Information (RCRAInfo) system contains information reported to the state environmental programs on activities and cleanup from hazardous waste generators, transporters, treaters, storers and disposers of hazardous waste.",
      "keyword": [
        "United States",
        "geospatial",
        "Brownfields",
        "Environment",
        "Emergencies and Cleanup Topics",
        "Cleanup Sites",
        "Cleanup"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Solid Waste and Emergency Response (OSWER)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Lori Furr",
        "hasEmail": "mailto:Furr.Lori@epa.gov"
      },
      "identifier": "{60600C9C-B1DD-440B-BD1D-435610D2EC2C}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Smart Location Database",
      "description": "A large body of research has demonstrated that land use and urban form can have a significant effect on transportation outcomes. People who live and/or work in compact neighborhoods with a walkable street grid and easy access to public transit, jobs, stores, and services are more likely to have several transportation options to meet their everyday needs. As a result, they can choose to drive less, which reduces their emissions of greenhouse gases and other pollutants compared to people who live and work in places that are not location efficient. Walking, biking, and taking public transit can also save people money and improve their health by encouraging physical activity.\n\nThe Smart Location Database summarizes several demographic, employment, and built environment variables for every census block group (CBG) in the United States. The database includes indicators of the commonly cited “D” variables shown in the transportation research literature to be related to travel behavior.  The Ds include residential and employment density, land use diversity, design of the built environment, access to destinations, and distance to transit. SLD variables can be used as inputs to travel demand models, baseline data for scenario planning studies, and combined into composite indicators characterizing the relative location efficiency of CBG within U.S. metropolitan regions.\n\nThis update features the most recent geographic boundaries (2019 Census Block Groups) and new and expanded sources of data used to calculate variables. Entirely new variables have been added and the methods used to calculate some of the SLD variables have changed.\n\nMore information on the National Walkability index: https://www.epa.gov/smartgrowth/smart-location-mapping\nMore information on the Smart Location Calculator: https://www.slc.gsa.gov/slc/\n",
      "keyword": [
        "geospatial",
        "Environment",
        "Transportation",
        "Land",
        "020:072",
        "United States",
        "Human"
      ],
      "modified": "2013-07-09",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John V. Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "33514B4C-54F2-464A-BCC7-35F441B7E21A",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010",
          "endDate": "2010"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/smartgrowth/smart-location-mapping"
      },
      "issued": "2013-07-09",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/OA/SLD/SmartLocationDatabaseV3.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://geodata.epa.gov/arcgis/rest/services/OA/SmartLocationDatabase/MapServer",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/OA/EPA_SmartLocationDatabase_V3_Jan_2021_Final.csv",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Sustainable Materials Management (SMM) Challenge Program Data",
      "description": "Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources, and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge, and the WasteWise program.  \n\t\t\t\t\n\t\t\t\tAs part of EPA's Food Recovery Challenge, organizations pledge to improve their sustainable food management practices and report their results.\n\t\t\t\t\n\t\t\t\tThe SMM Electronics Challenge encourages electronics manufacturers, brand owners and retailers to strive to send 100 percent of the used electronics they collect from the public, businesses and within their own organizations to third-party certified electronics refurbishers and recyclers. \n\t\t\t\t\n\t\t\t\tThe Federal Green Challenge, a national effort under the EPA’s Sustainable Materials Management Program, challenges EPA and other federal agencies throughout the country to lead by example in reducing the federal government's environmental impact.\n\t\t\t\t\n\t\t\t\tEPA’s WasteWise encourages organizations and businesses to achieve sustainability in their practices and reduce select industrial wastes. WasteWise is part of EPA’s sustainable materials management efforts, which promote the use and reuse of materials more productively over their entire lifecycles.  All U.S. businesses, governments and nonprofit organizations can join WasteWise as a partner, endorser or both. Current participants range from small local governments and nonprofit organizations to large multinational corporations\n\t\t\t\t",
      "keyword": [
        "Recovery",
        "geospatial",
        "Office of Land and Emergency Management (OLEM)",
        "Resource Conservation",
        "Waste",
        "Environment",
        "United States",
        "RCRAInfo",
        "State"
      ],
      "modified": "2013",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Resource Conservation and Recovery (ORCR)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kimberly Cochran",
        "hasEmail": "mailto:Cochran.Kimberly@epa.gov"
      },
      "identifier": "sustainable-materials-management-smm-challenge-program-data",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "https://edg.epa.gov/EPA_Data_License.html"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "R/P1Y",
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/circulareconomy/success-stories-reducing-waste",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Institutional Control Boundaries (EPA)",
      "description": "This GIS dataset contains polygons depicting U.S. EPA Superfund Institutional Control boundaries. Institutional controls are non-engineered instruments, such as administrative and legal controls, that help to minimize the potential for exposure to contamination and/or protect the integrity of a response action. ICs typically are designed to work by limiting land and/or resource use or by providing information that helps modify or guide human behavior at a site. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "020:108",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "B400EFC0-2104-410D-AF9C-E4555D4473F5",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-112.180178 37.861155, -67.356526 37.861155, -67.356526 48.220306, -112.180178 48.220306, -112.180178 37.861155))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Superfund Boundary Download Package",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "description": "Zipped File Geodatabase including all Superfund Boundary Layers.",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/geospatial",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Operable Unit Boundaries (EPA)",
      "description": "This GIS dataset contains polygons depicting U.S. EPA Superfund Operable Unit boundaries. The operable unit (OU) polygons represent an individual OU’s perimeters, which are used to identify a portion of a Superfund site with which assessment and response actions are associated. CERCLA regulations (40 C.F.R. § 307.14) define an OU as a “discrete portion of a remedial response [that] manages migration, or eliminates or mitigates a release, threat of release, or pathway of exposure. The cleanup of a site can be divided into a number of operable units . . . [that] may address geographical portions of a site.” Determined on a site-specific basis, OUs may represent distinct geographic areas, media or releases. Note that OUs may overlap geographically when representing distinct media or areas of concern. OU boundaries become the building blocks of site boundaries. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "020:108",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "210AABB3-00C0-477C-A2AD-B3F6108C6A34",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-115.954 37.865102, -69.168639 37.865102, -69.168639 48.53041, -115.954 48.53041, -115.954 37.865102))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "description": "Zipped file geodatabase with all Superfund boundary layers.",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/geospatial",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Site Boundaries (EPA)",
      "description": "This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "020:109",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "FC07D75C-8596-434B-B1A6-0688C9CD45B5",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.810367 -14.359115, 151.785904 -14.359115, 151.785904 64.877949, -176.810367 64.877949, -176.810367 -14.359115))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Zipped file geodatabase",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Linear Site Features (EPA)",
      "description": "This GIS dataset contains lines depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as linear features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "020:108",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "E6FDDAA3-A904-4BC5-9E79-75E3E92F4E78",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-115.547865 37.785585, -105.529316 37.785585, -105.529316 48.381532, -115.547865 48.381532, -115.547865 37.785585))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "description": "Zipped file geodatabase",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/geospatial",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Site Feature Locations (EPA)",
      "description": "This GIS dataset contains points depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as point features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "020:108",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "88371E0B-A6CE-44D4-9DA8-F4678C4ABB5B",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-115.547865 40.658724, -111.444749 40.658724, -111.444749 48.381483, -115.547865 48.381483, -115.547865 40.658724))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "description": "Zipped file geodatabase",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/geospatial",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NPL Superfund Site Feature Areas (EPA)",
      "description": "This GIS dataset contains polygons depicting U.S. EPA Superfund features. This dataset is reserved for important Superfund site features that are best captured as polygon features in geospatial datasets. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "SEGS",
        "geospatial",
        "Environment",
        "Cleanup",
        "Human",
        "Sites",
        "FAC",
        "Facilities",
        "Toxics",
        "Remediation",
        "020:108",
        "Management",
        "Monitoring",
        "Impact",
        "United States",
        "Health"
      ],
      "modified": "2018-03-06",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Kelsey Whalen",
        "hasEmail": "mailto:Whalen.Kelsey@epa.gov"
      },
      "identifier": "C0850C60-C8BC-47F4-B926-2F6FF65FC074",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-115.457463 37.785345, -105.19895 37.785345, -105.19895 48.467, -115.457463 48.467, -115.457463 37.785345))"
        }
      ],
      "accrualPeriodicity": "R/P1W",
      "issued": "2018-03-06",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/OLEM/OLEM-OSRTI/NPL_Boundaries.zip",
          "description": "Zipped file geodatabase",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/geospatial",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Programmatic Information",
      "description": "This asset includes an inventory of program policy and guidance documents that are used by the EPA regions, states, tribes and private parties to implement the Superfund program. This collection of documents currently exists in two primary places - the Superfund Enterprise Management System (SEMS) and on the Superfund public website. Eventually all of the documents will be placed in SEMS, which is the official recordkeeping system of the program. This asset also includes contract management information relevant to non-site-specific OSRTI contracts.",
      "keyword": [
        "Superfund",
        "geospatial",
        "remediation",
        "Environment",
        "guidance",
        "remedial",
        "policy",
        "United States"
      ],
      "modified": "2014-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Superfund Remediation and Technology Innovation (OSRTI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "https://www.epa.gov/superfund/superfund-policy-guidance-and-laws",
        "hasEmail": "mailto:OLEM.cleanup@epa.gov"
      },
      "identifier": "E22BCE0F-C9F7-4533-946E-43C47A1F89CC",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "Records are all releasable to the public, with the exception of contract performance information, much of which may be restricted public."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://epa.gov/superfund/",
        "title": "Superfund Programmatic Information"
      },
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Environmental Management System (SEMS)",
      "description": "This asset includes a number of individual data sets related to site-specific information for Superfund, which is governed under the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA) of 1980, which was amended by the Superfund Amendments and Reauthorization Act (SARA) in 1986. The Superfund Enterprise Management System (SEMS) contains basic site description, location, schedule of activities, enforcement and settlement data, contaminants and selected remedy and much more, as well as the records that clearly document site decisions. This asset also includes sampling data and lab results (CLPSS, EDDs), redevelopment and technical assistance case studies, site reuse and land revitalization information, EPAOSC.net information, Superfund Technical Assistance Grants information, site management information records (RODs, Remediation plans, cleanup directives), contract management information, and more.\n\nSuperfund site management information can also be found in agency wide systems such as EAS and COMPASS.",
      "keyword": [
        "United States",
        "TAGs",
        "Superfund redevelopment",
        "geospatial",
        "CLPSS",
        "Environment",
        "site history",
        "RACs",
        "site information",
        "CERCLIS",
        "site location",
        "site status",
        "SEMS",
        "CLP",
        "site reuse"
      ],
      "modified": "2014-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management (OLEM)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "https://www.epa.gov/superfund/forms/contact-us-about-superfund",
        "hasEmail": "mailto:oswerwebmaster@epa.gov"
      },
      "identifier": "DDE93997-4322-4826-A8C2-F12F1FCBFD6B",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "Asset contents are generally available to the public except for data or documents that are confidential, CBI, PII or pre-decisional. Superfund generally does not release *planned* resources or schedules for future activities that have not yet occurred."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/superfund"
      },
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://cumulis.epa.gov/supercpad/cursites/srchsites.cfm",
        "title": "Superfund Environmental Management System (SEMS)"
      },
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/superfund/superfund-data-and-reports",
          "description": "URL providing direct access to the downloadable distribution of the data.",
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Site Information - Site Sampling Data",
      "description": "This asset includes Superfund site-specific sampling information including location of samples, types of samples, and analytical chemistry characteristics of samples. Information is associated with a particular contaminated sate as there is no national database of this information.",
      "keyword": [
        "United States",
        "sample location",
        "analytical results",
        "geospatial",
        "Scribe",
        "analytical data",
        "Environment",
        "laboratory",
        "Superfund site samples",
        "Contract Laboratory Program",
        "data validation",
        "CLP",
        "electronic data deliverables",
        "superfund site data",
        "testing",
        "chain-of-custody",
        "sample media"
      ],
      "modified": "2014-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Superfund Remediation and Technology Innovation (OSRTI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "No one program contact for this data asset. This data asset is site-specific. Data resides in all Regions for all sites under the authority of Superfund.",
        "hasEmail": "mailto:oswerwebmaster@epa.gov"
      },
      "identifier": "superfund-site-information-site-sampling-data",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "Data asset can be made available to the public."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "isPartOf": "85E4837A-B467-446D-B7C1-F5E0150D5BB7",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Technical Assistance Grants",
      "description": "This asset includes data related to the Superfund Technical Assistance Grant program, including grant number, award amounts, award dates, period of performance, site/PRP name, and community group awarded grant. Data collected from Regional TAG Coordinators enables HQ to easily access statistical information on the TAG program in order to respond to requests for Catalog of Federal Domestic Assistance (CFDA) updates, requests for talking point information, questions from OSRTI/OSWER managers, and other various requests for program statistics.",
      "keyword": [
        "geospatial",
        "Environment",
        "technical assistance grant",
        "technical assistance",
        "United States",
        "TAG"
      ],
      "modified": "2014-11-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Superfund Remediation and Technology Innovation (OSRTI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Freya Margand",
        "hasEmail": "mailto:margand.freya@epa.gov"
      },
      "identifier": "superfund-technical-assistance-grants",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "Data set is currently being disassembled and all data will migrate onto a spreadsheet to be maintained and housed in CIPIB's share directory. The same data is available though the OGD's IGMS. IGMS is the most accurate source of this data, however, the TA"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "isPartOf": "85E4837A-B467-446D-B7C1-F5E0150D5BB7",
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Superfund Training/Tech Transfer",
      "description": "This asset includes a collection of information resources, training, and other media related to hazardous waste site cleanup and characterization. \nA major part of this asset is the CLU-IN System, which is a collection of websites designed to be the central reference library for \"\"the development, collection, evaluation, coordination, and dissemination of information relating to the utilization of alternative or innovative treatment technologies...\"\" for cleaning up hazardous waste sites (Title 42 Section 9660 (b)(8)). Information includes Best Practices for using innovative technologies, case studies and focus areas about characterization and remediation technologies, emerging issues, optimization, and green(ing) remediation. CLU-IN is available via web-based documentation, live events, podcasts, and videos. \nAdditionally, the Technology Innovation and Field Services Division (TIFSD) supports both classroom and online training registration through Trainex.org. All EPA content is also posted on EPA's website.",
      "keyword": [
        "classroom training",
        "case studies",
        "Environment",
        "RCRA",
        "optimization",
        "Hazardous Waste",
        "Triad",
        "Remediation",
        "United States",
        "Superfund",
        "Site Clean Up",
        "Trainex",
        "Technology",
        "geospatial",
        "Brownfields",
        "Site Characterization",
        "online training",
        "innovative technologies",
        "training",
        "CLU-IN"
      ],
      "modified": "2014-11-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Superfund Remediation and Technology Innovation (OSRTI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Michael Adam",
        "hasEmail": "mailto:adam.michael@epa.gov"
      },
      "identifier": "35150244-36E6-48D2-B98B-EDBFB26D4FAD",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "Generally all content on CLUIN and Trainex is publically accessible. As noted, EPA publications are also posted on the EPA website and are publically available. Some content such as registration lists for classes and webinars are not made publically avai"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://clu-in.org"
      },
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/superfund/superfund-training-and-learning-center",
        "title": "Superfund Training/Tech Transfer"
      },
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Underground Storage Tank Finder (UST Finder) Sites",
      "description": "This asset contains all Underground Storage Tank (UST) site information. It includes details such as property location, acreage, identification and characterization, and site assessments (current and historical) and characterization. This information is collected and held at the state/territory level. Regulatory authority for the collection of this information is found in Subtitle I of the Resource Conservation and Recovery Act (RCRA), as amended by the Hazardous Waste Disposal Act of 1984, which brought underground storage tanks (USTs) under federal regulation.",
      "keyword": [
        "site assessment.",
        "geospatial",
        "Underground Storage Tank",
        "characterization",
        "UST",
        "Environment",
        "property location",
        "United States"
      ],
      "modified": "2014-09-30",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Land and Emergency Management (OLEM) - Office of Underground Storage Tanks (OUST)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Susan Burnell",
        "hasEmail": "mailto:Burnell.Susan@epa.gov"
      },
      "identifier": "underground-storage-tank-finder-ust-finder-sites",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.htm",
      "rights": [
        "This data asset is generally available for public access except for certain material that may fall under PII or CBI limitations."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 18.0, -66.0 18.0, -66.0 72.0, -180.0 72.0, -180.0 18.0))"
        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "landingPage": {
        "@type": "Document",
        "accessURL": "https://www.epa.gov/ust",
        "title": "Underground Storage Tank Finder (UST Finder) Sites"
      },
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://experience.arcgis.com/experience/d3a227fc71c04f90bfdce2ca84f79620",
          "description": "URL providing direct access to the downloadable distribution of the data.",
          "license": "https://edg.epa.gov/EPA_Data_License.htm"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Walkability Index",
      "description": "The Walkability Index dataset characterizes every Census 2019 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of the built environment that influence the likelihood of walking being used as a mode of travel. The Walkability Index is based on the EPA's previous data product, the Smart Location Database (SLD). Block group data from the SLD was the only input into the Walkability Index, and consisted of four variables from the SLD weighted in a formula to create the new Walkability Index. This dataset shares the SLD's block group boundary definitions from Census 2019. The methodology describing the process of creating the Walkability Index can be found in the documents located at https://edg.epa.gov/EPADataCommons/public/OA/WalkabilityIndex.zip. You can also learn more about the Smart Location Database at https://www.epa.gov/smartgrowth/smart-location-mapping.",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Environment",
        "Virginia",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Canada",
        "Health",
        "Ohio",
        "South Dakota",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "American Samoa",
        "Wisconsin",
        "Puerto Rico",
        "Recreation",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "New York",
        "Mexico",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Transportation",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2021-05-13",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Land and Emergency Management"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "John Thomas",
        "hasEmail": "mailto:thomas.john@epa.gov"
      },
      "identifier": "{251AFDD9-23A7-4068-9B27-A3048A7E6012}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 2.969871, 180.0 2.969871, 180.0 90.0, -180.0 90.0, -180.0 2.969871))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2019-01-01",
          "endDate": "9999-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://geodata.epa.gov/arcgis/rest/services/OA/WalkabilityIndex/MapServer"
      },
      "issued": "2021-05-13",
      "language": [
        "en"
      ],
      "theme": [
        "health"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/OA/WalkabilityIndex.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "USEPA Environmental Quality Index (EQI) and Associated Domain Indices by County for the United States 2006-2010",
      "description": "The US Environmental Protection Agency's (EPA) Center for Public Health and Environmental Assessment (CHPEA) in the Public Health and Environmental Systems Division (PHESD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built environment, and sociodemographic environment). Indices are at the county level for all counties in the United States for 2006-2010. More information about the EQI can be found at https://www.epa.gov/healthresearch/epas-environmental-quality-index-supports-public-health",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment (CPHEA)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Danelle Lobdell",
        "hasEmail": "mailto:lobdell.danelle@epa.gov"
      },
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
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      "spatial": [
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        }
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          "endDate": "2010-12-31"
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        {
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          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/ORD/CPHEA/EQI_2006_2010",
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    {
      "@type": "dcat:Dataset",
      "title": "USEPA Environmental Quality Index (EQI) - Air, Water, Land, Built, and Sociodemographic Domains Non-Transformed Variables Dataset as Input for the 2006-2010 USEPA EQI, by County for the United States",
      "description": "The US Environmental Protection Agency's (EPA) Center for Public Health and Environmental Assessment (CPHEA) in the Public Health and Environmental Systems Division (PHESD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized non-transformed variables chosen to represent the Air, Water, Land, Built, and Sociodemographic Domains of the total environment for 2006-2010. This does not represent the final variables for the EQI. The Transformed dataset was used to create the EQI. This dataset is for information purposes only for those who want to see the original non-transformed variables. More information about the EQI can be found at https://www.epa.gov/healthresearch/epas-environmental-quality-index-supports-public-health",
      "keyword": [
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Environment",
        "Oregon",
        "Land",
        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
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      "modified": "2018-08-01",
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      "description": "The US Environmental Protection Agency's (EPA) Center for Public Health and Environmental Assessment (CPHEA) in Public Health and Environmental Systems Division (PHESD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized transformed variables chosen to represent the Air, Water, Land, Built, and Sociodemographic Domains of the total environment for the 2006-2010 EQI.",
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        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
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        "Oregon",
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        "Chesapeake Bay",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
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        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "North Carolina",
        "Wyoming",
        "Exposure",
        "Missouri",
        "Hawaii",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Water",
        "New Jersey",
        "New Hampshire",
        "Alabama",
        "Arizona",
        "Chesapeake Bay Watershed",
        "Indiana",
        "Wisconsin",
        "020:053",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "@type": "dcat:Dataset",
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        "@type": "vcard:Contact",
        "fn": "Timothy Boe",
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      "accessLevel": "public",
      "bureauCode": [
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      "programCode": [
        "020:072"
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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          "bbox": "POLYGON((-178.001438 -14.339652, 145.796295 -14.339652, 145.796295 71.385805, -178.001438 71.385805, -178.001438 -14.339652))"
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      "accrualPeriodicity": "irregular",
      "issued": "2020-12-27",
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        {
          "@type": "dcat:Distribution",
          "title": "HSRP Storage Siting Staging Tool Essential Dataset for Alabama",
          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_AL.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_NE.zip",
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          "@type": "dcat:Distribution",
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
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        {
          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_NM.zip",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_NY.zip",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_NC.zip",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_ND.zip",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_OH.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_OR.zip",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_PA.zip",
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        {
          "@type": "dcat:Distribution",
          "title": "HSRP Storage Siting Staging Tool Essential Dataset for Rhode Island",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_SC.zip",
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          "@type": "dcat:Distribution",
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          "@type": "dcat:Distribution",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_TN.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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        {
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_UT.zip",
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          "downloadURL": "https://dmap-data-commons-ord.s3.amazonaws.com/HSRPSSS/HSRPSSS_ED_VT.zip",
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      ],
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    {
      "@type": "dcat:Dataset",
      "title": "EPA HSRP - 3D Elevation Program 2013 Slope State Extracts for the Continental United States",
      "description": "This geospatial dataset contains USGS 3D Elevation Program 2013 Slope extracts for usage with the EPA HSRP Storage-Staging-Siting Tool.  The dataset is distributed by state for the conterminous United States buffered by 10 miles to provide overlap for intrastate analysis.  ",
      "keyword": [
        "geospatial",
        "Modeling",
        "Response",
        "Waste",
        "Sites",
        "Risk",
        "Disaster",
        "Emergency",
        "Impact",
        "United States",
        "Downloadable Data",
        "020:060"
      ],
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      "publisher": {
        "@type": "org:Organization",
        "name": "US EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Timothy Boe",
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      },
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        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
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      "rights": [
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      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.848974 24.396308, -66.885444 24.396308, -66.885444 49.384358, -124.848974 49.384358, -124.848974 24.396308))"
        }
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      "accrualPeriodicity": "irregular",
      "issued": "2020-12-27",
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      ],
      "distribution": [],
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    {
      "@type": "dcat:Dataset",
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      "keyword": [
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      "distribution": [
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          "description": "URL providing direct access to the downloadable distribution of the data.",
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    {
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    {
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    },
    {
      "@type": "dcat:Dataset",
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      ],
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    {
      "@type": "dcat:Dataset",
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      ],
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    },
    {
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      ],
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      "title": "LULC Change From-To Classes for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions",
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      "@type": "dcat:Dataset",
      "title": "LULC Net Change for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions",
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        }
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    },
    {
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      "title": "Physiological Parameters Database for Older Adults",
      "description": "The Physiological Parameters Database for Older Adults is available for download and contains physiological parameters values for healthy older human adults (age 60 and older), as well as data for some individuals with adverse health conditions that may relate to environmental exposure.  The information in this database was collected from review of peer-review published papers.",
      "keyword": [
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        "geospatial",
        "Human Health",
        "DataFinder",
        "Seniors' Health",
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        "United States"
      ],
      "modified": "2014",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research & Development (ORD)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Chad Thompson",
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      },
      "identifier": "{864CD515-C7A4-48FF-9DBC-7C4164DC2FBD}",
      "accessLevel": "public",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
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      ],
      "spatial": [
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        }
      ],
      "temporal": null,
      "accrualPeriodicity": "irregular",
      "theme": [
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      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Polychlorinated Biphenyls (PCB) Residue Effects Database",
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      "keyword": [
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        "Pollutants & Contaminants",
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        }
      ],
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    },
    {
      "@type": "dcat:Dataset",
      "title": "Polychlorinated Biphenyls (PCB) Transformer Registration Database",
      "description": "The Polychlorinated Biphenyls (PCB) Transformer Registration Database tracks geographic and dated information of registered PCB transformers.",
      "keyword": [
        "Environmental Media Topics",
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        "DataFinder",
        "Environment",
        "Mobile Sources of Air Pollution",
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      ],
      "modified": "2014",
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    },
    {
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      "title": "SWAT Reach Output Seasonal Change Scenarios for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions",
      "description": "We developed four 2011-2050 land cover change scenarios and modeled the impact of projected land cover change on influent water quality to support long-term planning for the city of Minneapolis, MN.  Baseline land cover was from the NLCD2011 database.  IPCC SRES scenarios (https://www.ipcc.ch/site/assets/uploads/2018/03/sres-en.pdf) interpreted by Sohl et al. (2014) (https://doi.org/10.1890/13-1245.1) for the conterminous United States were downscaled from 250 meters to 30 meters.  The baseline and scenario land cover data were used as input into the Soil Water and Assessment Tool (SWAT) model to assess the effect of outyear projected land cover change on the source of raw water for the city of Minneapolis, MN. SWAT was used to assess the effect of land cover change on raw water concentrations of sediment, total nitrogen, and total phosphorus. The IPCC SRES evaluated were A1B, A2, B1, and B2.  The four scenarios were implemented with (A1Bf) and without (A1B) forest recovery (e.g., conversion of cropland (2011) to forest (2050).  \n\t\t\n\t\tUnits for the MeanDifference variable are different for TN/TP and sediment due to SWAT reporting conventions; TN and TP are in kilograms (kg) and sediment is in megagrams (Mg).  1 Mg = 1,000 kg.  Differences are scenario minus baseline; negative values indicate constituent loads were less for the scenario relative to the baseline.  NLCD2001 was included as a scenario to assess the effect of land cover change.  Negative values for the NLCD2001 scenario indicate that a constituent load was less in 2001 relative to 2011.",
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      },
      "contactPoint": {
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        "fn": "James Wickham",
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      "spatial": [
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        }
      ],
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        }
      ],
      "issued": "2023-03-03",
      "distribution": [
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          "downloadURL": "https://edg.epa.gov/EPADataCommons/Public/ORD/EnviroAtlas/Minneaoplis_Water_Quality_LCscenarios.zip",
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        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.mrlc.gov/data",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
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      "title": "ToxCast/ToxRefDB",
      "description": "ToxCast is used as a cost-effective approach for efficiently prioritizing the toxicity testing of thousands of chemicals. It uses data from state-of-the-art high throughput screening (HTS) bioassay and builds computational models to forecast potential chemical toxicity in humans. ToxRefDB stores data related to ToxCast.",
      "keyword": [
        "Toxicity",
        "geospatial",
        "Human Health",
        "Chemicals",
        "Health Risks",
        "Environment",
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        "Exposure",
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      ],
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        "@type": "org:Organization",
        "name": "U.S. EPA Office of Chemical Safety and Pollution Prevention (OCSPP)"
      },
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        "fn": "Katie Paul-Friedman",
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      ],
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    {
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      "title": "Trends in Source Water Quality for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions",
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    },
    {
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      "title": "NLCD 2016 Land Cover Reference Data, Conterminous United States",
      "description": "The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, 2011 and 2016. U.S. EPA leads the accuracy assessment of NLCD land cover products in coordination with USGS and SUNY-ESF. The posted dataset includes map labels and reference labels for 4629 sample locations (pixels) from the NLCD 2016 database. The sample pixels were selected using a stratified random design based on the dual 2011 – 2016 map labels. The data can be used to re-create the accuracy results reported in a forthcoming paper and in support of other applications. Accuracy results are reported for the 2011 and 2016 land cover products in the NLCD2016 database and for selected 2011-2006 changes.",
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        "fn": "James Wickham",
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        },
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        }
      ],
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    },
    {
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      "@type": "dcat:Dataset",
      "title": "Global Wetlands Europe",
      "description": "This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  \nThis base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. \nThe three source datasets are:\n 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), \n 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and\n 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.\n\n",
      "keyword": [
        "geographically isolated wetland",
        "non-floodplain",
        "geospatial",
        "hydrobasin",
        "Wetlands",
        "wetland habitat",
        "020:096",
        "wetland mapping",
        "global",
        "wetlands",
        "Europe",
        "watershed",
        "Downloadable Data",
        "biogeochemical processing",
        "020:121",
        "drought mitigation"
      ],
      "modified": "2022-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "identifier": "5ECDBCD0-94EE-40B2-9126-DB3798CE7760",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-24.5423221164279 12.5913133409288, 69.5545199924046 12.5913133409288, 69.5545199924046 81.8589760674371, -24.5423221164279 81.8589760674371, -24.5423221164279 12.5913133409288))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-11-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Global_NonFloodplain_Wetlands/Global_Wetlands/Global_Wetlands_Europe.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Global Wetlands Greenland",
      "description": "This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  \nThis base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. \nThe three source datasets are:\n 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), \n 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and\n 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.\n\n",
      "keyword": [
        "geographically isolated wetland",
        "non-floodplain",
        "geospatial",
        "hydrobasin",
        "Wetlands",
        "wetland habitat",
        "020:096",
        "wetland mapping",
        "global",
        "wetlands",
        "Downloadable Data",
        "watershed",
        "Greenland",
        "biogeochemical processing",
        "020:121",
        "drought mitigation"
      ],
      "modified": "2022-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "identifier": "B85986CC-F478-4D8E-8117-48C019358D22",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.0006679958767 59.7416666666667, -11.3493218315967 59.7416666666667, -11.3493218315967 83.6256427764894, -73.0006679958767 83.6256427764894, -73.0006679958767 59.7416666666667))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-11-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Global_NonFloodplain_Wetlands/Global_Wetlands/Global_Wetlands_Greenland.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Global Wetlands North America",
      "description": "This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  \nThis base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. \nThe three source datasets are:\n 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), \n 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and\n 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.\n\n",
      "keyword": [
        "geographically isolated wetland",
        "non-floodplain",
        "geospatial",
        "hydrobasin",
        "Wetlands",
        "North America",
        "wetland habitat",
        "020:096",
        "wetland mapping",
        "global",
        "wetlands",
        "Downloadable Data",
        "watershed",
        "biogeochemical processing",
        "020:121",
        "drought mitigation"
      ],
      "modified": "2022-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "identifier": "4D27AC09-E4C9-4251-8F64-2F9F716F48F4",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-137.9625 5.49583333333336, -11.3493218315967 5.49583333333336, -11.3493218315967 83.6256427764894, -137.9625 83.6256427764894, -137.9625 5.49583333333336))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-11-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Global_NonFloodplain_Wetlands/Global_Wetlands/Global_Wetlands_NorthAmerica.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Global Wetlands Siberia",
      "description": "This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  \nThis base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. \nThe three source datasets are:\n 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), \n 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and\n 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.\n\n",
      "keyword": [
        "geographically isolated wetland",
        "non-floodplain",
        "geospatial",
        "hydrobasin",
        "Wetlands",
        "Siberia",
        "wetland habitat",
        "020:096",
        "wetland mapping",
        "global",
        "wetlands",
        "Downloadable Data",
        "watershed",
        "biogeochemical processing",
        "020:121",
        "drought mitigation"
      ],
      "modified": "2022-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "identifier": "E588295E-D932-4521-B9BD-4159E0894A08",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((58.9583333327298 45.5625000003308, 179.999884849201 45.5625000003308, 179.999884849201 81.267347208629, 58.9583333327298 81.267347208629, 58.9583333327298 45.5625000003308))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-11-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Global_NonFloodplain_Wetlands/Global_Wetlands/Global_Wetlands_Siberia.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Global Wetlands South America",
      "description": "This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  \nThis base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. \nThe three source datasets are:\n 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), \n 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and\n 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.\n\n",
      "keyword": [
        "geographically isolated wetland",
        "non-floodplain",
        "geospatial",
        "hydrobasin",
        "Wetlands",
        "wetland habitat",
        "020:096",
        "wetland mapping",
        "global",
        "wetlands",
        "Downloadable Data",
        "watershed",
        "South America",
        "biogeochemical processing",
        "020:121",
        "drought mitigation"
      ],
      "modified": "2022-11-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Research and Development"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Charles Lane",
        "hasEmail": "mailto:lane.charles@epa.gov"
      },
      "identifier": "0DE756B1-475E-4F24-99D9-75F85813ADAE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-92.0006805419922 -55.9875, -32.3745317247179 -55.9875, -32.3745317247179 14.8827270507813, -92.0006805419922 14.8827270507813, -92.0006805419922 -55.9875))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2022-11-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Global_NonFloodplain_Wetlands/Global_Wetlands/Global_Wetlands_SouthAmerica.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "High Marsh at Broadkill, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM code equal to 8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "7DB03995-FF00-46E0-B2B7-8A32E1583882",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/BDK_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Low Marsh at Broadkill, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of LOW marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Low marsh (LM) was defined as regularly flooded marsh [SLAMM category 8]. LM is normally inundated by tidal water at least once per day. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories.\n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh).\n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "9427C992-AF9F-4311-975D-46E098B6B86E",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/BDK_LM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Total Marsh at Broadkill, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "86AD1088-B422-47FC-9E86-29F03A0D3B4B",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
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      "@type": "dcat:Dataset",
      "title": "High Marsh in the Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh. High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM code equal to 8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "986CD520-B0FB-4250-8804-E587EF7469A2",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/BDK_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Dennis_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Dividing_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/MaurLow_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Misp_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Reeds_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/StJLow_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v1.3 Estimated Percent Impervious Surface for the Conterminous USA",
      "description": "Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline (\"base case\"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.",
      "keyword": [
        "Climate",
        "geospatial",
        "Modeling",
        "Land",
        "Impact",
        "United States",
        "Human"
      ],
      "modified": "2010-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Global Change Research Program"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Phil Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "{4D34EB4D-FDD9-4612-98DE-3C723B6B0095}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2100-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/iclus/about-iclus"
      },
      "issued": "2010-01-01",
      "language": [
        "en"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/iclus/iclus-downloads",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v1.3 Housing Density for the Conterminous USA",
      "description": "Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline (\"base case\"). The model is run for the conterminous USA and output is semi-decadally for each scenario to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.",
      "keyword": [
        "Climate",
        "geospatial",
        "Modeling",
        "Land",
        "Impact",
        "United States",
        "Human"
      ],
      "modified": "2010-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Global Change Research Program"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Phil Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "{2E953B8B-08A1-42FB-BAAB-1D5C246BC7D0}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2100-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/iclus/about-iclus"
      },
      "issued": "2010-01-01",
      "language": [
        "en"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/iclus/iclus-downloads",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v1.3 Population Projections",
      "description": "Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline (\"base case\"). The model is run for the conterminous USA and output is available for each scenario by decade to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer. This shapefile holds population data for all counties of the conterminous USA for all decades (2010-2100) and SRES population growth scenarios (A1, A2, B1, B2), as well as a 'base case' (BC) scenario, for use in the Integrated Climate and Land Use Scenarios (ICLUS) project.",
      "keyword": [
        "Climate",
        "geospatial",
        "Modeling",
        "Land",
        "Impact",
        "Human"
      ],
      "modified": "2007-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Global Change Research Program"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Phil Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "{1BB3ECBD-3EEB-43F3-AF78-B1196ACCC732}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2010-01-01",
          "endDate": "2100-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/iclus/about-iclus"
      },
      "issued": "2007-01-01",
      "language": [
        "en"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/ORD/NCEA/county_pop.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v1.3 Raw Housing Density for the Conterminous USA",
      "description": "Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline (\"base case\"). The model is run for the conterminous USA and output is semi-decadally for each scenario to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.",
      "keyword": [
        "geospatial",
        "Climate",
        "Modeling",
        "Land",
        "United States"
      ],
      "modified": "2010-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment (NCEA)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Philip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "{5F363F21-CCC1-4ED5-BF53-1C3657AAD505}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2100-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2010-01-01",
      "language": [
        "en"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v2.1 land use projections for the Fourth National Climate Assessment (SSP2)",
      "description": "SSP2 is a “middle-of-the-road” projection, where social, economic and technological trends do not shift markedly from historical patterns, resulting in a U.S. population of 455 million people by 2100. Domestic migration trends remain consistent with the recent past. This version of the ICLUS model does not include climate change projections to dynamically update location-specific amenities when calculating migration. These projections will include the “nocc” label in the file name to indicate this difference.",
      "keyword": [
        "Climate",
        "geospatial",
        "Modeling",
        "Land",
        "020:094",
        "United States",
        "Human"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Phillip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "8994C8C5-7398-43C3-A15F-99778DAA0EFA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.763068 24.523096, -66.949895 24.523096, -66.949895 49.384358, -124.763068 49.384358, -124.763068 24.523096))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2017-02-28",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_conus_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_midwest_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_northeast_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_northern_plains_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_northwest_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_southeast_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_southern_plains_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.amazonaws.com/ORD/NCEA/ICLUS_v2.1/SSP2/ICLUS_v2.1_land_use_southwest_ssp2_nocc.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/ord/",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v2.1 land use projections for the Fourth National Climate Assessment (SSP5)",
      "description": "The SSP5 narrative describes a rapidly growing and flourishing global economy that remains heavily dependent on fossil fuels, and a U.S. population that exceeds 730 million by 2100. ICLUS v2.1 land use projections under SSP5 result in a considerably larger expansion of developed lands relative to SSP2. This version of the ICLUS model does not include climate change projections to dynamically update location-specific amenities when calculating migration. These projections will include the “nocc” label in the file name to indicate this difference.",
      "keyword": [
        "Climate",
        "geospatial",
        "Modeling",
        "Land",
        "020:094",
        "United States",
        "Human"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Phillip Morefield",
        "hasEmail": "mailto:morefield.philip@epa.gov"
      },
      "identifier": "7E180905-28E9-4D6C-882C-BD00905CF0B5",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-124.763068 24.523096, -66.949895 24.523096, -66.949895 49.384358, -124.763068 49.384358, -124.763068 24.523096))"
        }
      ],
      "temporal": [
        {
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    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v2.1.1 population projections",
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    {
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      "title": "ICLUS v2.1.1 land use projections for SSP2 and RCP4.5 pathways",
      "description": "The methodology used to produce these projections differs from ICLUS v2.0 (https://cfpub.epa.gov/ncea/iclus/recordisplay.cfm?deid=322479). The demographic components of change (i.e., rates of fertility and mortality) for ICLUS v2.1 were taken directly from the Wittgenstein Centre Data Explorer (http://witt.null2.net/shiny/wic/). These projections were produced more recently than the Census projections used in ICLUS v2.0, and incorporate more recent observations of population change.\n\nSSP2 is a “middle-of-the-road” projection, where social, economic and technological trends do not shift markedly from historical patterns, resulting in a U.S. population of 455 million people by 2100. Domestic migration trends remain largely consistent with the recent past, however the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., \"GISS-E2-R\" or \"HadGEM2-ES\"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.\n\nRCP4.5 assumes that global greenhouse gas emissions increase into the latter part of the century, before leveling off and eventually stabilizing by 2100 as a result of various climate change policies.",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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    {
      "@type": "dcat:Dataset",
      "title": "ICLUS v2.1.1 land use projections for SSP5 and RCP8.5 pathways",
      "description": "The methodology used to produce these projections differs from ICLUS v2.0 (https://cfpub.epa.gov/ncea/iclus/recordisplay.cfm?deid=322479). The demographic components of change (i.e., rates of fertility and mortality) for ICLUS v2.1 were taken directly from the Wittgenstein Centre Data Explorer (http://witt.null2.net/shiny/wic/). These projections were produced more recently than the Census projections used in ICLUS v2.0, and incorporate more recent observations of population change.\n\nThe SSP5 narrative describes a rapidly growing and flourishing global economy that remains heavily dependent on fossil fuels, and a U.S. population that exceeds 730 million by 2100. ICLUS v2.1 land use projections under SSP5 result in a considerably larger expansion of developed lands relative to SSP2. The the amenity value of local climate (average precipitation and temperature for summer and winter) is used in ICLUS v2.1.1 to influence migration patterns. The name of the climate model used as the source of future climate patterns is included at the end of the file name (e.g., \"GISS-E2-R\" or \"HadGEM2-ES\"). The approach for incorporating climate change into the migration model is described in the ICLUS v2.0 documentation.\n\nRCP8.5 assumes that global greenhouse gas emissions increase through the year 2100.",
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        "fn": "Phillip Morefield",
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    {
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      "title": "High Marsh at Lower Maurice, NJ, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. \n\n2) In Raster Calculator, set the SLAMM code equal to 8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
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        "Delaware",
        "geospatial",
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        "Estuary",
        "Exposure",
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        "Coastal Wetland",
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      "license": "https://edg.epa.gov/EPA_Data_License.html",
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          "startDate": "2001-01-01",
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      ],
      "issued": "2019-02-01",
      "distribution": [
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      "title": "Low Marsh at Lower Maurice, NJ, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of LOW marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Low marsh (LM) was defined as regularly flooded marsh [SLAMM category 8]. LM is normally inundated by tidal water at least once per day. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
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      ],
      "issued": "2019-02-01",
      "distribution": [
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          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/MaurLow_LM.zip",
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    {
      "@type": "dcat:Dataset",
      "title": "Total Marsh at Lower Maurice, NJ, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. \n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, gain (value=1), lost (value=-1) and remaining (no change; value=0) These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities.\n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
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          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "High Marsh at St. Jones, DE,Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of HIGH marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. \n\n2) In Raster Calculator, set the SLAMM code equal to 8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year.\n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "E043F6E9-89CB-4F72-80A9-83796DEB6ECD",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/StJLow_HM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Low Marsh at St. Jones, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of LOW marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Low marsh (LM) was defined as regularly flooded marsh [SLAMM category 8]. LM is normally inundated by tidal water at least once per day. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. \n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "4157F3E9-7C82-4BD8-BD4B-E9888DF70CEA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/StJLow_LM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Total Marsh at St. Jones, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA",
      "description": "This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. \n\n1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years.\n\n2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. \n\n3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). \n\nPrior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. \n\nNote: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources",
        "Downloadable Data"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "56B9C288-CB5C-4E34-A947-D8236C6AD7E2",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/StJLow_TM.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Symbology of SLAMM output raster",
      "description": "Symbology used by the marsh gain and loss raster in the SLAMM report",
      "keyword": [
        "Ecosystem",
        "New Jersey",
        "Delaware",
        "geospatial",
        "Sea Level Rise",
        "Modeling",
        "Environment",
        "Estuary",
        "Exposure",
        "Relative Vulnerability",
        "Coastal Wetland",
        "020:094",
        "United States",
        "Natural Resources"
      ],
      "modified": "2018-02-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Center for Environmental Assessment"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Jordan West",
        "hasEmail": "mailto:west.jordan@epa.gov"
      },
      "identifier": "FADE9634-0956-4214-9616-5FC3132B00BB",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-75.387382 38.728269, -75.12876 38.728269, -75.12876 38.867302, -75.387382 38.867302, -75.387382 38.728269))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2001-01-01",
          "endDate": "2100-12-31"
        }
      ],
      "issued": "2019-02-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/SLAMM_DE2019/Symbology.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Human Well-Being Index (HWBI) for U.S. Counties, 2000-2010",
      "description": "The Human Well-being Index (HWBI) for U.S. counties is a set of nationally consistent demonstration results that may be used to characterize community well-being. This composite index was developed by U.S. EPA Office of Research and Development in support of its Sustainable and Healthy Communities (SHC) Research. It serves as an endpoint measure for use in the creation of community decision-support tools. The HWBI characterizes community conditions in the context of the flow of economic, social and ecological services. The index calculation approach used a nested-indicator design. A decade (2000-2010) of cultural, economic, and social data were drawn from publicly available sources (e.g., US Census, Bureau of Economic Analysis, American Community Survey, General Social Survey, Centers for Disease Control) to provide the foundation for well-being related indicators. Indicators are integrated into one of eight domains or sub-indices of well-being. These domains were synthesized to represent different aspects of well-being characteristics common across communities of all sizes. Service indicators reflect the availability of select socio-ecological services that influence well-being. Community decisions often result in changes in the flow of community services. Collectively, well-being and service measures provide a means to evaluate relationships between the availability of certain community services and overall well-being. Data used to generate service indicators were also collected from existing data sources. Detailed information about the attributes of the HWBI, its components and related service indicators are described in Indicators and Methods for Constructing a U.S. Human Well-being Index (HWBI) for Ecosystem Services Research (EPA/600/R-12/023. pp. 121) and Indicators and Methods for Evaluating Economic, Ecosystem and Social Services Provisioning (EPA/600/R-14/184. pp. 174), respectively.",
      "keyword": [
        "Ecosystem",
        "South Carolina",
        "Delaware",
        "Washington DC",
        "Maine",
        "Virginia",
        "Oregon",
        "North Dakota",
        "Iowa",
        "Ohio",
        "South Dakota",
        "Indicator",
        "Montana",
        "Kansas",
        "Tennessee",
        "Kentucky",
        "Ecosystem Services",
        "North Carolina",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "Washington",
        "Maryland",
        "United States",
        "Florida",
        "Louisiana",
        "Socio-ecological",
        "New Jersey",
        "Well-being",
        "New Hampshire",
        "Sustainability",
        "Alabama",
        "Arizona",
        "Indiana",
        "Wisconsin",
        "Arkansas",
        "New York",
        "New Mexico",
        "Michigan",
        "Colorado",
        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Texas",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Human",
        "Minnesota"
      ],
      "modified": "2017-12-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Research and Development-National Health and Environmental Effects Research Laboratory-Gulf Ecology Division"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Linda Harwell",
        "hasEmail": "mailto:Harwell.linda@Epa.gov"
      },
      "identifier": "{8ef76910-ebf9-4eee-b7a0-ff620064aad6}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-128.02839229 22.7348894, -65.20336449 22.7348894, -65.20336449 51.6773602, -128.02839229 51.6773602, -128.02839229 22.7348894))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2000-01-01",
          "endDate": "2010-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://cfpub.epa.gov/si/si_public_record_report.cfm?Lab=NHEERL&dirEntryId=289300"
      },
      "issued": "2017-12-15",
      "language": [
        "en"
      ],
      "theme": [
        "economy"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Level III Ecoregions of Alaska",
      "description": "Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. The ecoregions of Alaska are a framework for organizing and interpreting environmental data for State, national, and international level inventory, monitoring, and research efforts. The map and descriptions for 20 ecological regions were derived by synthesizing information on the geographic distribution of environmental factors such as climate, physiography, geology, permafrost, soils, and vegetation. A qualitative assessment was used to interpret the distributional patterns and relative importance of these factors from place to place (Gallant and others, 1995). Numeric identifiers assigned to the ecoregions are coordinated with those used on the map of \"Ecoregions of the Conterminous United States\" (Omernik 1987, U.S. EPA 2010) as a continuation of efforts to map ecoregions for the United States. Additionally, the ecoregions for Alaska and the conterminous United States, along with ecological regions for Canada (Wiken 1986) and Mexico, have been combined for maps at three hierarchical levels for North America (Omernik 1995, Commission for Environmental Cooperation, 1997, 2006). A Roman numeral hierarchical scheme has been adopted for different levels of ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions. At Level III, there are currently 182 ecological regions for North America. Level IV ecoregions have been developed for the conterminous United States, but Level III is the highest level available for Alaska. Literature cited: Commission for Environmental Cooperation Working Group, 1997, Ecological regions of North America - toward a common perspective: Montreal, Commission for Environmental Cooperation, 71 p. Commission for Environmental Cooperation, 2006, Ecological regions of North America, Level III, Map scale 1:10,000,000, https://www.epa.gov/eco-research/ecoregions-north-america. Gallant, A.L., Binnian, E.F. Omernik, J.M. and Shasby, M.B., 1995, Ecoregions of Alaska: U.S. Geological Survey Professional Paper 1567. Omernik, J.M., 1987, Ecoregions of the Conterminous United States: Annals of the Association of American Geographers, v. 77, no.1, p. 118-125. Omernik, J.M., 1995, Ecoregions: a Framework for Managing Ecosystems: The George Wright Forum, v. 12, no. 1, p. 35-51. U.S. Environmental Protection Agency, 2010, Level III ecoregions of the continental United States (revision of Omernik, 1987): Corvallis, Oregon, USEPA - National Health and Environmental Effects Research Laboratory, Map M-1, various scales. Wiken, E.B., 1986, Terrestrial Ecozones of Canada: Lands Directorate, Environmental Canada Ecological Land Classification Series 19, 26 p. Comments and questions regarding ecoregions should be addressed to Glenn Griffith, USGS, c/o US EPA., 200 SW 35th Street, Corvallis, OR 97333, (541)-754-4465, email:griffith.glenn@epa.gov Alternate: James Omernik, USGS, c/o US EPA, 200 SW 35th Street, Corvallis, OR 97333, (541)-754-4458, email:omernik.james@epa.gov",
      "keyword": [
        "Ecosystem",
        "Alaska",
        "geospatial",
        "National Geospatial Data Asset",
        "Environment",
        "Biodiversity and Ecosystems Theme",
        "Surface Water",
        "NGDA",
        "Management",
        "United States",
        "Natural Resources"
      ],
      "modified": "2012-01-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Marc Weber",
        "hasEmail": "mailto:weber.marc@epa.gov"
      },
      "identifier": "{d60d4f92-706f-4f6a-9e38-6fb063bd2962}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 49.177353, 180.0 49.177353, 180.0 71.40593, -180.0 71.40593, -180.0 49.177353))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-05-08",
          "endDate": "2012-05-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2012-01-01",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/Ecoregions/ak/ak_eco_l3.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Level III Ecoregions of Alabama",
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      "description": "Ecoregions for the Mississippi Alluvial Plain were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By recognizing the spatial differences in the capacities and potentials of ecosystems, ecoregions stratify the environment by its probable response to disturbance (Bryce and others, 1999). These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and non-government organizations that are responsible for different types of resources within the same geographical areas (Omernik and others, 2000). The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of the spatial patterns and the composition of biotic and abiotic phenomena that affect or reflect differences in ecosystem quality and integrity (Wiken, 1986; Omernik, 1987, 1995). These phenomena include geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another regardless of the hierarchical level. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). 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Reaching that objective requires recognition of the differences in the conceptual approaches and mapping methodologies that have been used to develop the most common ecoregion-type frameworks, including those developed by the U.S. Department of Agriculture - Forest Service (USFS) (Bailey and others, 1994), the USEPA (Omernik, 1987, 1995), and the NRCS (United States Department of Agriculture - Soil Conservation Service, 1981). As each of these frameworks is further refined, their differences are becoming less discernible. Regional collaborative projects such as this one in the Mississippi Alluvial Plain, where agreement can be reached among multiple resource management agencies, are a step toward attaining consensus and consistency in ecoregion frameworks for the entire nation. Literature cited: Commission for Environmental Cooperation Working Group, 1997, Ecological regions of North America- toward a common perspective: Montreal, Commission for Environmental Cooperation, 71 p. Gallant, A. L., Whittier, T.R., Larsen, D.P., Omernik, J.M., and Hughes, R.M., 1989, Regionalization as a tool for managing environmental resources: Corvallis, Oregon, U.S. Environmental Protection Agency, EPA/600/3-89/060, 152p. Omernik, J.M., 1995, Ecoregions - a framework for environmental management, in Davis, W.S. and Simon, T.P., eds., Biological assessment and criteria-tools for water resource planning and decision making: Boca Raton, Florida, Lewis Publishers, p.49-62. Omernik, J.M., Chapman, S.S., Lillie, R.A., and Dumke, R.T., 2000, Ecoregions of Wisconsin: Transactions of the Wisconsin Academy of Science, Arts, and Letters, v. 88, p. 77-103. Omernik, J.M., 2004, Perspectives on the nature and definitions of ecological regions: Environmental Management, v. 34, Supplement 1, p. s27-s38. U.S. Environmental Protection Agency. 2011. Level III and IV ecoregions of the continental United States. U.S. EPA, National Health and Environmental Effects Research Laboratory, Corvallis, Oregon, Map scale 1:3,000,000. Available online at: https://www.epa.gov/eco-research/level-iii-and-iv-ecoregions-continental-united-states. Comments and questions regarding Ecoregions should be addressed to Glenn Griffith, USGS, c/o US EPA., 200 SW 35th Street, Corvallis, OR 97333, (541)-754-4465, email:griffith.glenn@epa.gov Alternate: James Omernik, USGS, c/o US EPA, 200 SW 35th Street, Corvallis, OR 97333, (541)-754-4458, email:omernik.james@epa.gov",
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The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of the spatial patterns and the composition of biotic and abiotic phenomena that affect or reflect differences in ecosystem quality and integrity (Wiken, 1986; Omernik, 1987, 1995). These phenomena include geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another regardless of the hierarchical level. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III ecoregions. Methods used to define the ecoregions are explained in Omernik (1995, 2004), Omernik and others (2000), and Gallant and others (1989). This product is part of a collaborative effort primarily between USEPA Region VII, USEPA National Health and Environmental Effects Research Laboratory (Corvallis, Oregon), Mississippi Department of Environmental Quality, Arkansas Department of Environmental Quality, Arkansas Multi-Agency Wetland Planning Team (MAWPT), U.S. Army Corps of Engineers (USACE), U.S. Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS), U.S. Department of Interior - Fish and Wildlife Service (USFWS), and U.S. Department of Interior - U.S. Geological Survey (USGS) - Earth Resources Observation Systems (EROS) Data Center. The project is associated with an interagency effort to develop a common framework of ecological regions. 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Gallant, A. L., Whittier, T.R., Larsen, D.P., Omernik, J.M., and Hughes, R.M., 1989, Regionalization as a tool for managing environmental resources: Corvallis, Oregon, U.S. Environmental Protection Agency, EPA/600/3-89/060, 152p. Omernik, J.M., 1995, Ecoregions - a framework for environmental management, in Davis, W.S. and Simon, T.P., eds., Biological assessment and criteria-tools for water resource planning and decision making: Boca Raton, Florida, Lewis Publishers, p.49-62. Omernik, J.M., Chapman, S.S., Lillie, R.A., and Dumke, R.T., 2000, Ecoregions of Wisconsin: Transactions of the Wisconsin Academy of Science, Arts, and Letters, v. 88, p. 77-103. Omernik, J.M., 2004, Perspectives on the nature and definitions of ecological regions: Environmental Management, v. 34, Supplement 1, p. s27-s38. U.S. Environmental Protection Agency. 2011. Level III and IV ecoregions of the continental United States. 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        "Oklahoma",
        "Vermont",
        "Mississippi",
        "Alaska",
        "Texas",
        "Virgin Islands",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "Idaho",
        "California",
        "Georgia",
        "Utah",
        "Massachusetts",
        "Minnesota"
      ],
      "modified": "2018-05-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Environmental Information"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Fran Kremer",
        "hasEmail": "mailto:Kremer.Fran@epa.gov"
      },
      "identifier": "us-estimated-private-domestic-wells-map-service",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1990-04-01",
          "endDate": "2010-03-31"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2018-05-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/ORD/NRMRL/Estimated_Private_Domestic_Wells.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "ATTAINS Assessments",
      "description": "State water quality assessment decisions reported to EPA under the Integrated Report (IR), and Clean Water Act Sections 303(d) and 305(b). This service provides summary information for each Assessment Unit. For more detailed data, please reference the Assessment Total Maximum Daily Load (TMDL) Tracking and Implementation System (ATTAINS) web services. Information on those web services is provided on the public ATTAINS website: https://www.epa.gov/waterdata/attains",
      "keyword": [
        "Ecosystem",
        "Regulatory",
        "geospatial",
        "Environment",
        "Estuary",
        "Surface Water",
        "Land",
        "Ground Water",
        "Management",
        "Monitoring",
        "United States",
        "water quality",
        "Natural Resources",
        "Water"
      ],
      "modified": "2020-06-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "ATTAINS",
        "hasEmail": "mailto:attains@epa.gov"
      },
      "identifier": "epa.gov:98CDC528-ABE6-8717-E053-FEDD43863FD2",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, correctness and other available information. Please confirm that you are using the most recent copy of both data and metadata."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-06-08",
          "endDate": "2020-06-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://gispub.epa.gov/arcgis/rest/services/OW/ATTAINS_Assessment/MapServer"
      },
      "issued": "2020-06-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Office of Water (OW): Beaches NHDPlus Indexed Dataset",
      "description": "The Beaches Environmental Assessment and Coastal Health (BEACH) Program focuses on the following five areas to meet the goals of improving public health and environmental protection for beach goers and providing the public with information about the quality of their beach water: strengthening beach standards and testing, providing faster laboratory test methods-predicting pollution, investing in health and methods research, informing the public. Under the BEACH Act Grant Program states (including tribes and territories) are required to submit their beach monitoring (water quality), notification (advisory and closing), and beach location data to EPA.",
      "keyword": [
        "water program",
        "United States",
        "geospatial",
        "Conservation",
        "BEACH locational data",
        "Environment",
        "Beaches",
        "Human",
        "beach",
        "Ecology",
        "NHD",
        "waterbody",
        "Recreation",
        "Beach Act",
        "Cleanup",
        "Health",
        "beach data",
        "Water"
      ],
      "modified": "2016-06-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Bill Kramer",
        "hasEmail": "mailto:kramer.bill@epa.gov"
      },
      "identifier": "{4A2F897E-E1E4-453E-9A29-674A520E4B92}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-160.0 17.0, -64.0 17.0, -64.0 50.0, -160.0 50.0, -160.0 17.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2016-06-24",
          "endDate": "2016-06-24"
        }
      ],
      "accrualPeriodicity": "R/PT1S",
      "describedBy": {
        "accessURL": "https://water.epa.gov/scitech/datait/tools/waters/data/downloads.cfm"
      },
      "issued": "2016-06-24",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://watersgeo.epa.gov/arcgis/rest/services/OWRAD_NP21/BEACH_NP21/MapServer/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Office of Water (OW): Beaches PRAWN Attribute Data",
      "description": "The Beaches Environmental Assessment and Coastal Health (BEACH) Program focuses on the following five areas to meet the goals of improving public health and environmental protection for beach goers and providing the public with information about the quality of their beach water: strengthening beach standards and testing, providing faster laboratory test methods-predicting pollution, investing in health and methods research, informing the public. Under the BEACH Act Grant Program states (including tribes and territories) are required to submit their beach monitoring (water quality), notification (advisory and closing), and beach location data to EPA.",
      "keyword": [
        "water program",
        "geospatial",
        "Health",
        "Conservation",
        "BEACH locational data",
        "Environment",
        "Beaches",
        "beach",
        "Ecology",
        "NHD",
        "waterbody",
        "Recreation",
        "Beach Act",
        "United States",
        "Human",
        "beach data",
        "Water"
      ],
      "modified": "2015-02-04",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Bill Kramer",
        "hasEmail": "mailto:kramer.bill@epa.gov"
      },
      "identifier": "{9236FF63-FFC3-4843-BFA7-56D2566E7C58}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2015-01-01",
          "endDate": "2015-01-01"
        }
      ],
      "accrualPeriodicity": "R/PT1S",
      "describedBy": {
        "accessURL": "https://www.epa.gov/waterdata/waters-geospatial-data-downloads"
      },
      "issued": "2015-02-04",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://www.epa.gov/waterdata/waters-geospatial-data-downloads",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NHDPlus v2.1 and Alaska Beta NHDPlus",
      "description": "This dataset contains upstream watershed drainage areas for catchments comprising Catchment Fabric HUC12 units. The dataset is incomplete for Alaska.",
      "keyword": [
        "Ecosystem",
        "Regulatory",
        "United States",
        "geospatial",
        "Environment",
        "Estuary",
        "catchments",
        "Surface Water",
        "Land",
        "Ground Water",
        "Management",
        "Monitoring",
        "watershed boundaries",
        "Natural Resources",
        "Water"
      ],
      "modified": "2020-06-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "U.S. Environmental Protection Agency",
        "hasEmail": "mailto:waters_support@epa.gov"
      },
      "identifier": "epa.gov:93766FED-6DE2-4852-B880-4EFF6C93150F",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, correctness and other available information. Please confirm that you are using the most recent copy of both data and metadata."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-06-08",
          "endDate": "2020-06-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://watersgeo.epa.gov/arcgis/rest/services/Support/CatchmentFabric/MapServer/2"
      },
      "issued": "2020-06-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Office of Water (OW): NHDPlus v21+AK Beta Catchment Fabric Twelve-Digit Subwatersheds",
      "description": "This dataset contains twelve-digit hydrologic subwatershed units aggregated from the NHDPlus v21+AK Beta State Catchment Fabric. These units express the Catchment Crosswalk logic used to assign NHDPlus catchments to HUC12 units and are not representative of the Watershed Boundary Dataset or other hydrologic unit systems.",
      "keyword": [
        "Ecosystem",
        "Regulatory",
        "United States",
        "geospatial",
        "Environment",
        "Estuary",
        "catchments",
        "Surface Water",
        "Land",
        "Ground Water",
        "Management",
        "Monitoring",
        "watershed boundaries",
        "Natural Resources",
        "Water"
      ],
      "modified": "2020-06-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "U.S. Environmental Protection Agency",
        "hasEmail": "mailto:waters_support@epa.gov"
      },
      "identifier": "epa.gov:93766FED-6DE0-4852-B880-4EFF6C93150F",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, correctness and other available information. Please confirm that you are using the most recent copy of both data and metadata."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-180.0 -90.0, 180.0 -90.0, 180.0 90.0, -180.0 90.0, -180.0 -90.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-06-08",
          "endDate": "2020-06-08"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://watersgeo.epa.gov/arcgis/rest/services/Support/CatchmentFabric/MapServer/0"
      },
      "issued": "2020-06-08",
      "language": [
        "en"
      ],
      "theme": [
        "environment"
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Drinking Water Mapping Application (DWMA) - Public Version",
      "description": "The Drinking Water Mapping Application (DWMA) is a web-based geographic information system (GIS) that enhances the capabilities to identify major contaminant risks to public drinking water supplies. The DWMA includes functionality for both surface and ground-water based public water systems, including a well visualization tool (under development), non-point source and non-NHD data layer analyses, and multi-program analyses.",
      "keyword": [
        "intakes",
        "geospatial",
        "drinking water",
        "surface water",
        "contaminant",
        "wells",
        "public water systems",
        "ground water"
      ],
      "modified": "2006-12-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Ground Water and Drinking Water (OGWDW)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Safe Drinking Water Hotline",
        "hasEmail": "mailto:safewater@epa.gov"
      },
      "identifier": "{856C6DCD-510B-692E-F1CD-3B60A33D5D92}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-173.129822 17.305182, -67.434525 17.305182, -67.434525 71.490303, -173.129822 71.490303, -173.129822 17.305182))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2007-12-15",
          "endDate": "2007-12-15"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2006-12-15",
      "language": [
        "en"
      ],
      "theme": [
        "inlandWaters"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://geopub.epa.gov/DWWidgetApp/",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Sole Source Aquifers",
      "description": "Information on sole source aquifers (SSAs) is widely used in assessments under the National Environmental Policy Act and at the state and local level. A national layer, including all available SSA coverages, is available for use in GIS. This layer includes the GIS polygons for SSAs. In addition to single SSA designated area polygons, some EPA regional offices have delineated GIS layers for: * Streamflow zones * Aquifer recharge areas * Other features at the land surface important for SSA designations. The SSA geospatial data set is available through Data.gov for use by government agencies, private organizations, and the public.",
      "keyword": [
        "Drinking Water",
        "United States",
        "geospatial",
        "Water"
      ],
      "modified": "2020-08-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Water"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Safe Drinking Water Hotline",
        "hasEmail": "mailto:safewater@epa.gov"
      },
      "identifier": "{1D329CAA-31BB-496B-B0DF-23CBDA27E3AD}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2018-09-28",
          "endDate": "2018-09-28"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/dwssa"
      },
      "issued": "2020-08-01",
      "language": [
        "en"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/public/OW/EPA_Sole_Source_Aquifers.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "National Estuary Program Study Area Boundaries",
      "description": "There are 28 National Estuary Programs (NEPs) in the U.S.that implement habitat protection and restoration projects with their partners. This work takes place within their study area boundaries. NEPmap contains that data from 2009 to the present.",
      "modified": "2011-11-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Office of Wetlands, Oceans, and Watershed"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Nancy Laurson",
        "hasEmail": "mailto:Laurson.Nancy@epa.gov"
      },
      "identifier": "{76256B1F-5B2B-47C7-BBED-677803A61E49}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-01-01",
          "endDate": "2022-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://www.epa.gov/nep/nepmap"
      },
      "issued": "2011-11-28",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "title": "Download",
          "downloadURL": "https://edg.epa.gov/data/Public/OW/Office_of_Wetlands_Oceans_and_Watersheds/NEP_Boundaries/NEP_Boundaries.zip",
          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "NEPmap (National Estuary Program Mapper)",
      "description": "The NEPmap is designed to provide information in context with National Estuary Program Study Areas. There are 28 National Estuary Programs (NEPs) in the U.S.that implement habitat protection and restoration projects with their partners and submit their project data to the EPA annually. NEPmap contains that project data from 2009 to the present.",
      "modified": "2012-09-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. EPA Office of Water (OW) - Office of Wetlands Oceans and Watersheds (OWOW)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Nancy Laurson",
        "hasEmail": "mailto:Laurson.Nancy@epa.gov"
      },
      "identifier": "{8D880D83-3255-4F04-AE0C-B8C005C0F658}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated."
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-138.21454852 6.65223303, -12.68151645 6.65223303, -12.68151645 61.7110157, -138.21454852 61.7110157, -138.21454852 6.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2009-01-01",
          "endDate": "2012-01-01"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
        "accessURL": "https://gispub.epa.gov/NEPmap/"
      },
      "issued": "2012-09-28",
      "language": [
        "en"
      ],
      "theme": [
        "boundaries"
      ],
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        {
          "@type": "dcat:Distribution",
          "title": "Download",
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          "description": "The URL providing direct access to the downloadable dataset. ",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      "accessRights": "public"
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    {
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      "title": "National Hydrography Dataset Plus - NHDPlus",
      "description": "This high-level metadata data document will be supplemented with detailed regional metadata at a later date. The NHDPlusV2 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). Interest in estimating stream flow volume and velocity to support pollutant fate-and-transport modeling was the driver behind the joint USEPA and USGS effort to develop the initial NHDPlus, referenced in this document as NHDPlusV1. NHDPlusV1 has been used in a wide variety of applications since its initial release in the fall of 2006. This widespread positive response prompted the multi-agency NHDPlus team to develop NHDPlus Version 2 (NHDPlusV2). The NHDPlusV2 includes a stream network (based on the NHD), improved networking, naming, and \"value-added attributes\" (VAA's). NHDPlusV2 also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first broadly applied in New England, and thus dubbed \"The New-England Method\". This technique involves \"burning-in\" the NHD network and building \"walls\" using the national Watershed Boundary Dataset (WBD). The hydro-enforced digital elevation model (DEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. An interdisciplinary team from the USGS, USEPA and contractors, has found this method to produce the best quality NHD catchments using an automated process. The VAAs include greatly enhanced capabilities for upstream and downstream navigation, analysis and modeling. Examples include: retrieve all flowlines (predominantly confluence-to-confluence stream segments) and catchments upstream of a given flowline using queries rather than by slower flowline-by-flowline navigation; retrieve flowlines by stream order; select a stream level path sorted in hydrologic order for stream profile mapping, analysis and plotting; and, calculate cumulative catchment attributes using streamlined VAA hydrologic sequencing routing attributes. The VAAs include results from the use of these cumulative routing techniques, including cumulative drainage areas, precipitation, temperature, and runoff distributions. Several of these cumulative attributes are used to estimate mean annual flow and velocity as part of the VAAs. NHDPlusV2 in CONUS contains a snapshot (2012) of the 1:100,000-scale NHD that has been extensively improved over the snapshot used in NHDPlusV1. These updates have not been stored in the central NHD repository at USGS. NHDPlusV2 in the islands is basin on a 2014/2015 snapshot of the 1:24,000 NHD. NHDPlusV2 users may not make updates to the NHD portions of NHDPlusV2 with the intent of sending these updates back to the USGS. Updates to the 1:100,000-scale NHD snapshot should be sent to the USEPA as the primary steward. Updates to the 1:24,000-scale NHD shapshot should be sent to the USGS. Purpose: The geospatial data sets included in NHDPlusV2 are intended to support a variety of water-related applications. They already have been used in an application to develop estimates of mean annual streamflow and velocity for each NHDFlowline feature in the conterminous United States. The results of these analyses are included with the NHDPlusV2 data. NHDPlusV2 serves as the sample frame for the stream and lake surveys conducted by the USEPA under the National Aquatic Resources Surveys program. A water-quality model developed by the U.S. Geological Survey (USGS) called SPARROW (Spatially Referenced Regressions on Watershed Attributes), can utilizes the NHDPlusV2 network functionality to track the downstream transport of nutrients, sediments, or other substances. NHDPlusV2 water bodies and estimates of streamflow and velocity are used in SPARROW to identify reservoir retention and in-stream loss factors. NHDPlusV2 climatic and land surface attributes can be used in SPARROW to identify potential factors in the delivery of nutrients from the land surface to streams. NHDPlusV2 data is also being used in select areas for a USGS Web-based application, called StreamStats. StreamStats provides tools to interactively select any point in the implemented areas, delineate watersheds, and to obtain streamflow and watershed characteristics for the selected point. NHDPlusV2 has been designed to accommodate many users' needs for future applications. NHDPlusV2 provides the framework and tools necessary to customize the behavior of the network relationships as well as building upon the attribute database, for which the user can assign their own data to the network.",
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        "NHDPlus",
        "Oregon",
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        "Stream velocity",
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        "Montana",
        "Tennessee",
        "Kentucky",
        "Reach",
        "Hawaii",
        "Florida",
        "Alabama",
        "River Coding Systems",
        "Catchment",
        "Water-quality",
        "Cartography",
        "New York",
        "Vermont",
        "Hydrologic Modeling",
        "Mississippi",
        "geospatial",
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        "SPARROW",
        "Idaho",
        "Georgia",
        "Massachusetts",
        "Stream / River",
        "USA",
        "Topography",
        "South Carolina",
        "Canal / Ditch",
        "North Dakota",
        "GIS",
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        "North Carolina",
        "Washington",
        "Spatially Referenced Regression on Watershed Attributes",
        "Hydrography",
        "National Hydrography Dataset",
        "Indiana",
        "Arkansas",
        "New Mexico",
        "Michigan",
        "Oklahoma",
        "Texas",
        "US Virgin Islands",
        "Puerto Rico",
        "Delaware",
        "Northern Mariana",
        "StreamStats",
        "Iowa",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Connecticut",
        "United States",
        "National Elevation Dataset",
        "New Jersey",
        "New Hampshire",
        "Wisconsin",
        "Swamp / Marsh",
        "Colorado",
        "Nevada",
        "United States of America",
        "Rhode Island",
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        "Minnesota",
        "USGS",
        "Maine",
        "Spring / Seep",
        "GEODATA",
        "Artificial Path",
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        "Maryland",
        "Louisiana",
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        "EARTH SCIENCE",
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        "NHD",
        "Lake / Pond",
        "West Virginia",
        "Pennsylvania",
        "Reservoir",
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        "Guam",
        "Utah"
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      "theme": [
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      "title": "All New Hampshire coastal waters sewage no-discharge zone, 1975, EPA HQ OWOW",
      "description": "This dataset details No Discharge Zones (NDZ) for All NH coastal waters. Boaters may not discharge waste into these areas. Boundaries were determined mostly by Federal Register Environmental Documents in coordination with EPA Region 1 Office of Ecosystem Protection (OEP) staff.",
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      "modified": "2014-03-18",
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      "spatial": [
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      "temporal": [
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      "@type": "dcat:Dataset",
      "title": "All New Hampshire waters except tidal waters sewage no-discharge zone, 1975, EPA HQ OWOW",
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OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B93732623-A6D2-41CC-A914-682360B130ED%7D\n\"East Hampton seven water bodies (New York) sewage no-discharge zone, 1999, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA07A07F4-2159-4241-B467-028D0BE00776%7D\n\"Greater Huntington-North Port Bay Complex (New York) sewage no-discharge zone, 2000, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB93D4433-626F-4DBD-9652-3CC58B792418%7D\n\"Hempstead Harbor (New York) sewage no-discharge zone, 2008, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B496BF6F1-75EC-4A9D-8B05-6C4C8A8A10EB%7D\n\"Hudson River (part) New York sewage no-discharge zone, 1995, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7FD6E6BF-F58E-499E-B8D9-1C470BB7BBD2%7D\n\"Jamaica Bay (New York) sewage no-discharge zone, 2011, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF16B5F1C-97DF-458E-95B0-5E8F4FDC3E89%7D\n\"Lake Champlain (New York) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA96D0B47-1938-4E04-A38F-0946D2B8DAF2%7D\n\"Lake George (New York) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4CAF196A-17C9-47FF-9CEF-02C91D8B3380%7D\n\"Lake Ontario (New York) sewage no-discharge zone, 2011, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B28A87373-18E6-4BAD-B661-8020C844D13F%7D\n\"Long Island Sound (New York) sewage no-discharge zone, 2011, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF1785219-D2EE-424B-90C5-CFDDC266F0F5%7D\n\"Mamaroneck Harbor (New York) sewage no-discharge zone, 1997, EPA HQ 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HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B8560DC97-E048-483A-BF32-B253409C094F%7D\n\"Lake Hartwell (Georgia and South Carolina) sewage no-discharge zone, 1997, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B71F1EFF6-0128-47FF-A319-52D32F4F8445%7D\n\"Broad Creek, Lake Keowee, Lake Murray, Lake Thurmond, and Lake Wylie (Georgia, North Carolina, and South Carolina) sewage no-discharge zone, 1999, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BE984E5D7-1ACF-45ED-BAB0-731E3AB280BB%7D\n\"Michigan State Waters sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BAE6F3CCE-60AA-427B-AA5C-6AD56B159662%7D\n\"Boundary Waters Canoe Area (Minnesota) sewage no-discharge zone, 1977, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BFEFB334C-FD01-4CF3-A68F-2B30AE468849%7D\n\"Minnesota River (part) sewage no-discharge zone, 1977, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BD1E0F921-FDB5-43CC-AC39-F5FF6CA88163%7D\n\"Saint Croix River (Minnesota/Wisconsin) sewage no-discharge zone, 1996, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B6D93C249-B3E6-4070-82E4-64953A8B6362%7D\n\"All Wisconsin waters except Lake Superior Mississippi River, and part of St. Croix River sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B2EEDE487-2E27-49E9-8842-171E263F0B9B%7D\n\"All New Mexico state waters sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF7FEAA63-997B-4D59-9BED-FC737325F39B%7D\n\"24 Texas freshwater bodies sewage no-discharge zone, 1977, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA27DC0CE-1991-4521-A5AC-28B1DD8017F6%7D\n\"Clear Lake (Texas) sewage no-discharge zone, 1995, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B7D5EB8E5-D012-47F0-8D33-9D17DF79EFAA%7D\n\"All Missouri Waters sewage no-discharge zone, 1975, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BDE77B4BC-DF21-4091-84F6-D02DF4CCB079%7D\n\"Lake Powell (Arizona and Utah) sewage no-discharge zone, 2000, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1F172058-BEFB-4A2D-BCE7-4015C404A8A9%7D\n\"Avalon Bay Harbor (California) sewage no-discharge zone, 1979, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B49AB6813-0AD2-49DB-85D6-4FA4B91010B3%7D\n\"California Marine Waters sewage no-discharge zone, 2012, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF19D731D-2999-41C7-A2F4-682464678209%7D\n\"Channel Islands Harbor (California) sewage no-discharge zone, 1979, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0E0F1D18-70A5-4350-AE53-D76B1551F0F8%7D\n\"Dana Point Harbor (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF9CA37B0-8AB7-4162-BFF9-4D2F008F44CD%7D\n\"Huntington Harbor and Sunset Bay (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B897D4B33-9AB5-4F93-B56F-DBEC2A6BF78A%7D\n\"Mission Bay (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF8D58E62-E676-4EC4-8B0B-E1A2F0F1B964%7D\n\"Newport Bays (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1FE61658-B1F6-4DFD-B70C-7696F0A3BC24%7D\n\"Oceanside Harbor (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BB4ED89F2-139D-4E1A-817D-6BE69659E60D%7D\n\"Richardson Bay (California) sewage no-discharge zone, 1987, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B51A3FCFB-08F1-46BA-9F76-A68F8637A76D%7D\n\"San Diego Bay (California) sewage no-discharge zone, 1976, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BF539C4BF-39E9-4D45-9DD2-4472FC471CD3%7D\n\"Lake Tahoe (California and Nevada) sewage no-discharge zone, 1977, EPA HQ OWOW\",https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B840ABC87-7145-4D98-8B7A-2E41F90FCBEE%7D “Puget Sound and certain adjoining waters (Washington) sewage no-discharge zone, 2017, EPA HQ OWOW”, https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B6453C178-A4FA-42DD-B784-B0E42A3F8FFA%7D",
      "issued": "2020-04-02",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Locations of Combined Sewer Overflow Outfalls - US EPA Region 3",
      "description": "This data layer identifies the locations of Combined sewer overflow outfalls. Combined sewer systems are sewers that are designed to collect rainwater runoff, domestic sewage, and industrial wastewater in the same pipe. Most of the time, combined sewer systems transport all of their wastewater to a sewage treatment plant, where it is treated and then discharged to a water body. During periods of heavy rainfall or snowmelt, however, the wastewater volume in a combined sewer system can exceed the capacity of the sewer system or treatment plant. For this reason, combined sewer systems are designed to overflow occasionally and discharge excess untreated wastewater directly to nearby streams, rivers, or other water bodies. For further information visit: http://cfpub1.epa.gov/npdes/home.cfm?program_id=5",
      "keyword": [
        "Regulatory",
        "Delaware",
        "West Virginia",
        "geospatial",
        "Compliance",
        "Washington DC",
        "Pennsylvania",
        "Waste",
        "Human",
        "Surface Water",
        "Sites",
        "Permits",
        "Hazards",
        "Virginia",
        "Maryland",
        "Health",
        "Water"
      ],
      "modified": "2012-04-24",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "locations-of-combined-sewer-overflow-outfalls-us-epa-region-3",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-82.581299 37.37793, -75.020966 37.37793, -75.020966 42.154297, -82.581299 42.154297, -82.581299 37.37793))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2012-04-24",
          "endDate": "2012-04-24"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2012-04-24",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "US EPA Region 4 RMP Facilities",
      "description": "To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.",
      "keyword": [
        "Contaminant",
        "geospatial",
        "Environment",
        "Sites",
        "Facilities",
        "Permits",
        "Risk",
        "Toxics",
        "Compliance",
        "Monitoring",
        "Inspections",
        "Health"
      ],
      "modified": "2021-06-17",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Data Publishing Organization"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "EPA Data Publisher",
        "hasEmail": "mailto:edg@epa.gov"
      },
      "identifier": "{094607D4-99EA-4F43-8E97-C74AF6B9EB7D}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
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      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-176.6525 13.377222, 144.8894 13.377222, 144.8894 70.64818, -176.6525 70.64818, -176.6525 13.377222))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "http://d0404jr4ec003:8080/geoportal/layer_files/facilities/FRSrmp.zip",
          "description": "002",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
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      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "R4FRS_RCRAINFO",
      "description": "To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.",
      "keyword": [
        "geospatial",
        "Pacific Trust Territories",
        "FRS",
        "American Samoa",
        "United States Virgin Islands",
        "Guam",
        "EPA",
        "Tribal Lands",
        "United States",
        "Puerto Rico",
        "Downloadable Data"
      ],
      "modified": "2014-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Office of Environmental Information (OEI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "David Smith",
        "hasEmail": "mailto:smith.davidg@epa.gov"
      },
      "identifier": "{00D7AE3A-0F9E-462F-A34D-88E27789426F}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.6525 13.27111, 145.72 13.27111, 145.72 71.301199, -176.6525 71.301199, -176.6525 13.27111))"
        }
      ],
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          "@type": "PeriodOfTime",
          "startDate": "2014-12-16",
          "endDate": "2014-12-16"
        }
      ],
      "accrualPeriodicity": "R/PT1S",
      "issued": "2014-12-16",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "R4FRS CERCLIS",
      "description": "To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.",
      "keyword": [
        "United States",
        "geospatial",
        "Sites",
        "American Samoa",
        "020:072",
        "Cleanup",
        "Puerto Rico",
        "EPA, FRS"
      ],
      "modified": "2014-12-16",
      "publisher": {
        "@type": "org:Organization",
        "name": "US Environmental Protection Agency, Office of Environmental Information (OEI)"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "David Smith",
        "hasEmail": "mailto:smith.davidg@epa.gov"
      },
      "identifier": "{F5B506B4-A5F2-42F4-B8DD-CC82957B4699}",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-176.6525 13.27111, 145.72 13.27111, 145.72 71.301199, -176.6525 71.301199, -176.6525 13.27111))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2014-12-16",
          "endDate": "2014-12-16"
        }
      ],
      "accrualPeriodicity": "R/PT1S",
      "describedBy": {
        "accessURL": "https://www.epa.gov/enviro/geo_data.html"
      },
      "issued": "2014-12-16",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Boundaries of EPA R6 NPL Sites as of 3/1/2023; EPA Region 6 Superfund, AR, LA, NM, OK, TX",
      "description": "This layer contains boundaries of EPA Region 6 Superfund NPL Sites as of 3/1/2023. The boundaries represent several types of features such as operable units, plumes, facilities, landfill caps, extent of contamination, and extent of study. ",
      "keyword": [
        "Contaminant",
        "Land",
        "Facilities",
        "Permits",
        "Spills",
        "Risk",
        "Remediation",
        "Cleanup",
        "United States",
        "Louisiana",
        "Water",
        "020:109",
        "Toxics",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Ground Water",
        "Oklahoma",
        "Downloadable Data",
        "Texas",
        "geospatial",
        "Waste",
        "Surface Water",
        "Hazards",
        "Emergency"
      ],
      "modified": "2021-10-22",
      "publisher": {
        "@type": "org:Organization",
        "name": "STS Systems Support"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Melody Lister",
        "hasEmail": "mailto:lister.melody@epa.gov"
      },
      "identifier": "boundaries-of-epa-r6-npl-sites-as-of-3-1-2023-epa-region-6-superfund-ar-la-nm-ok-tx",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-108.516205 26.066892, -89.781475 26.066892, -89.781475 37.004377, -108.516205 37.004377, -108.516205 26.066892))"
        }
      ],
      "accrualPeriodicity": "R/P2Y",
      "issued": "2021-10-22",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Outer Boundaries of EPA R6 NPL Sites as of 3/1/2023; EPA Region 6 Superfund, AR, LA, NM, OK, TX",
      "description": "This layer contains one boundary (one record) for each EPA Region 6 Superfund NPL Site as of 3/1/2023. Each boundary represents the outer lines of the site. ",
      "keyword": [
        "Contaminant",
        "Response",
        "Land",
        "Facilities",
        "Permits",
        "Spills",
        "Exposure",
        "Risk",
        "Inspections",
        "Cleanup",
        "United States",
        "Louisiana",
        "Regulatory",
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        "Sites",
        "Ground Water",
        "Arkansas",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Downloadable Data",
        "Texas",
        "geospatial",
        "Waste",
        "Surface Water",
        "Hazards"
      ],
      "modified": "2023-04-12",
      "publisher": {
        "@type": "org:Organization",
        "name": "STS Systems Solutions"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Melody Lister",
        "hasEmail": "mailto:lister.melody@epa.gov"
      },
      "identifier": "outer-boundaries-of-epa-r6-npl-sites-as-of-3-1-2023-epa-region-6-superfund-ar-la-nm-ok-tx",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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          "@type": "Location",
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        }
      ],
      "issued": "2022-06-01",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA R6 Superfund NPL Site Locations as of 3/31/2023; EPA Region 6 Superfund, AR, LA, NM, OK, TX",
      "description": "Point locations for sites in EPA Region 6 which are documented as being part of the National Priorities List as of 3/31/2023. The locations were determined by EPA Region 6 Superfund RPMs and/or site HRS Documentation reports. EPA Region 6 includes AR, LA, NM, OK, TX.",
      "keyword": [
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        "Response",
        "Land",
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        "Arkansas, Louisiana, New Mexico, Oklahoma, Texas, EPA Region 6",
        "Risk",
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        "Remediation",
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        "Sites",
        "Toxics",
        "Management",
        "Downloadable Data",
        "geospatial",
        "Waste",
        "Surface Water",
        "Emergency",
        "Hazards"
      ],
      "modified": "2023-03-31",
      "publisher": {
        "@type": "org:Organization",
        "name": "EPA Region 6 Superfund/STS Systems Support"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Melody Lister",
        "hasEmail": "mailto:lister.melody@epa.gov"
      },
      "identifier": "B63C9E26-B069-45BA-BE48-9F4E5F9E2375",
      "accessLevel": "public",
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      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
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          "@type": "Location",
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        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "issued": "2023-03-31",
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 6 REAP Composite Geodatabase",
      "description": "The Regional Ecological Assessment Protocol (REAP) is a screening level tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the composite of these three layers. There are 2 composite grids within this geodatabase (composite & composite rank). The composite grid results from the sum of the 3 sub-layers with scores ranging from 3 to 300. The higher scores represent areas that may be of a higher ecological importance. The compositerank grid represents a ranking of the scores in the composite grid. Each cell is placed into 1 of the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (the bottom 50% of scores). See each individual feature class for more detailed metadata.",
      "keyword": [
        "Texas",
        "Biology",
        "Ecosystem",
        "Indicator",
        "geospatial",
        "Conservation",
        "Modeling",
        "Environment",
        "Natural Resources",
        "Ecology",
        "Land",
        "020:070",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Louisiana"
      ],
      "modified": "2011-06-08",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 6"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Teresa Tran",
        "hasEmail": "mailto:tran.teresa@epa.gov"
      },
      "identifier": "CD35885F-2EF5-454E-ADAE-0F6944A61DD7",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-109.0 25.0, -89.0 25.0, -89.0 37.0, -109.0 37.0, -109.0 25.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-03-01",
          "endDate": "2011-06-30"
        }
      ],
      "issued": "2011-06-08",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-6-south-central",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 6 REAP Diversity Geodatabase",
      "description": "The Regional Ecological Assessment Protocol (REAP) is a screening level tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the diversity layers. There are 2 diversity grids within this geodatabase (diversity & diversityrank). The diversity layer shows land cover continuity and diversity. There are three measures that make up the diversity layer: appropriateness of land cover, contiguous size of undeveloped area, and the Shannon land cover diversity index. Each cell in the final diversity grid has a score of between 1 and 100 based on the average of the three measures. Cells with higher scores represent areas that are more diverse. Cells with lower scores represent areas that are the least diverse. In the diversityrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See each individual feature class for more detailed metadata.",
      "keyword": [
        "Texas",
        "Ecosystem",
        "Indicator",
        "geospatial",
        "Conservation",
        "Modeling",
        "Environment",
        "Natural Resources",
        "Land",
        "020:070",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Louisiana"
      ],
      "modified": "2011-06-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 6"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Teresa Tran",
        "hasEmail": "mailto:tran.teresa@epa.gov"
      },
      "identifier": "1685C1BE-40DB-489C-A0D1-E0871A4B3172",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-109.0 25.0, -89.0 25.0, -89.0 37.0, -109.0 37.0, -109.0 25.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-03-01",
          "endDate": "2011-06-30"
        }
      ],
      "issued": "2011-06-28",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-6-south-central",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 6 REAP Rarity Geodatabase",
      "description": "The Regional Ecological Assessment Protocol (REAP) is a screening level assessment tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains 2 rarity layers (rarity and rarityrank) which shows the rarity of species and land cover in the Region. There are four measures that make up the rarity layer: vegetation rarity, natural heritage rank, taxonomic richness, and rare species richness. Each cell in the final rarity grid has a score of between 1 and 100 based on the average of the four measures. Cells with higher scores represent areas that have the most rarity. Cells with lower scores represent areas that have the least rarity. In the rarityrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See each individual layer for more detailed metadata.",
      "keyword": [
        "Texas",
        "Biology",
        "Ecosystem",
        "Indicator",
        "geospatial",
        "Conservation",
        "Modeling",
        "Environment",
        "Natural Resources",
        "Ecology",
        "Land",
        "020:070",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Louisiana"
      ],
      "modified": "2011-05-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 6"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Teresa Tran",
        "hasEmail": "mailto:tran.teresa@epa.gov"
      },
      "identifier": "2374BF82-CB61-42D4-93D8-853D7058DC73",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-109.0 25.0, -87.0 25.0, -87.0 37.0, -109.0 37.0, -109.0 25.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-03-01",
          "endDate": "2011-06-28"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2011-05-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/R6/REAP/r6reap_rarity.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-6-south-central",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 6 REAP Sustainability Geodatabase",
      "description": "The Regional Ecological Assessment Protocol (REAP) is a screening level assessment tool created as a way to identify priority ecological resources within the five EPA Region 6 states (Arkansas, Louisiana, New Mexico, Oklahoma, and Texas). The REAP divides eighteen individual measures into three main sub-layers: diversity, rarity, and sustainability. This geodatabase contains the 2 grids (sustain and sustainrank) representing the sustainability layer which describes the state of the environment in terms of stability (sustainble areas are those that can maintain themselves into the future without human management). There are eleven measures that make up the sustainability layer: contiguous land cover, regularity of ecosystem boundary, appropriateness of land cover, waterway obstruction, road density, airport noise, Superfund sites, Resource Conservation and Recovery Act (RCRA) sites, water quality, air quality, and urban/agriculture disturbance. Each cell in the final sustain grid has a score of between 1 and 100 based on the average of the eleven measures. Cells with higher scores represent areas that are more sustainable. Cells with lower scores represent areas that are the least sustainable. In the sustainrank grid, the cells are placed into the following 5 groups based on the score: 1 (top 1% of scores), 10 (top 10% of scores), 25 (top 25% of scores), 50 (top 50% of scores), and 100 (all the rest of the scores). See the metadata for each individual layer for more detailed information.",
      "keyword": [
        "Texas",
        "Biology",
        "Ecosystem",
        "Indicator",
        "geospatial",
        "Conservation",
        "Modeling",
        "Environment",
        "Natural Resources",
        "Ecology",
        "Land",
        "020:070",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Louisiana"
      ],
      "modified": "2011-06-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 6"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Teresa Tran",
        "hasEmail": "mailto:tran.teresa@epa.gov"
      },
      "identifier": "9686F0DC-570F-4455-B6B0-D2F393BB6159",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-109.0 25.0, -89.0 25.0, -89.0 37.0, -109.0 37.0, -109.0 25.0))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-03-01",
          "endDate": "2011-06-28"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2011-06-28",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/R6/REAP/r6reap_sustainability.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-6-south-central",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 6 TEAP Geodatabase",
      "description": "The Texas Ecological Assessment Protocol (TEAP) is a screening level assessment tool created by a working group of the Texas Environmental Resource Stewards (TERS). The TEAP divides nineteen individual measures into three main layers: diversity, rarity, and sustainability. This feature class represents the composite of these three layers. The results from the diversity, rarity, and sustainability layers are summed to create the composite grid with scores potentially ranging from 3 to 300. The higher scores represent areas that may be of a higher ecological importance.TERS was established in July 2002 to seek greater Federal and State interagency collaboration on identifying and supporting joint priorities, particularly regarding transportation issues. Leaders from participating agencies (see Supplemental Information) jointly identified common interests and target activities for collaborative ecosystem management, thereby benefitting each agency. Common interests and uses included identification of highest priority natural resources areas (wetland, aquatic, terrestrial) for avoidance, mitigation, or potential compensation or restoration; \"streamlining\" of regulatory processes; early assistance with National Environmental Policy Act (NEPA) planning; and analysis of cumulative impacts. TERS participants also identified uses for the TERS ecological assessment within each agency's mission. The vision, as developed by the TERS executives, included the following actions: Improve mutual understanding; Use collective knowledge to support decisions-making; and Strive for synergism. The TERS approach to achieving this vision was to use an ecosystem approach to organize strategies that achieve effective and measurable environmental results, and jointly communicate the results to the public. The initial goals of TERS were to identify high priority ecological areas, potential mitigation areas, and streamline the regulatory processes. The TEAP is part of the first goal: the ecological assessment and identification of priority ecological resources in the state of Texas. Please refer to the 2005 report ( http://nepis.epa.gov/Exe/ZyPURL.cgi?Dockey=P100BLAF.txt) for more details on TERS and the TEAP.",
      "keyword": [
        "Texas",
        "Ecosystem",
        "Indicator",
        "geospatial",
        "Conservation",
        "Modeling",
        "Environment",
        "Natural Resources",
        "Ecology",
        "Land",
        "020:070",
        "Arkansas",
        "Management",
        "New Mexico",
        "Impact",
        "Oklahoma",
        "Louisiana"
      ],
      "modified": "2011-06-28",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 6"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Teresa Tran",
        "hasEmail": "mailto:tran.teresa@epa.gov"
      },
      "identifier": "3C77E877-43AE-49B4-952D-DF0D492F9E14",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-109.050173 25.837164, -88.758388 25.837164, -88.758388 37.002312, -109.050173 37.002312, -109.050173 25.837164))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2005-03-01",
          "endDate": "2011-06-30"
        }
      ],
      "issued": "2011-06-28",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/R6/TEAP/teap_data.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-6-south-central",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA Region 7 Aquatic Focus Areas (ECO_RES.R7_AQUATIC_FOCUS_AREAS)",
      "description": "This shapefile consists of 347 individual Aquatic Ecological System (AES) polygons that are the Aquatic Conservation Focus Areas for EPA Region 7.  The focus areas are those areas within each aquatic ecological system types that, if preserved, would maintain the biological and ecological diversity extant within that ecological system type.  The layer consists of those polygons from the R7_AES.shp shapefile that had the highest ranks.  The AES polygons in the Missouri portion of the file were appended and are those that contain the 158 aquatic conservation opportunity areas identified in Missouri as part of another project (Missouri Department of Conservation Aquatic Biodiversity Assessment 2005).  Note that the identifiers in the Missouri portion of this file will not match the ID's in any Missouri specific files.",
      "keyword": [
        "Ecosystem",
        "Environment",
        "Iowa",
        "Biology",
        "South Dakota",
        "Indicator",
        "Tennessee",
        "Conservation",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Ecology",
        "Quality",
        "Wisconsin",
        "Arkansas",
        "Management",
        "Impact",
        "Colorado",
        "Natural Resources",
        "geospatial",
        "020:072",
        "Minnesota"
      ],
      "modified": "2026-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 7"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Holly Mehl",
        "hasEmail": "mailto:mehl.hollis@epa.gov"
      },
      "identifier": "A710EDF7-64D2-42AD-BC12-A4A4832D5073",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-104.160378 34.884854, -88.139997 34.884854, -88.139997 44.255535, -104.160378 44.255535, -104.160378 34.884854))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R7/AQUATIC_FOCUS_AREA.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/epa-region-7-aquatic-focus-areas/about",
          "description": "This link takes you to EPA's Clip and Ship Hub Site",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-7-midwest",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Terrestrial Conservation Focus Areas > 10 Hectares (ECO_RES.ECOFOC_GEO10)",
      "description": "The ECOFOC_GEO10 layer represents Terrestrial Conservatioin Focus Areas that are greater than or equal to 10 hectares in size.  Conservation Focus Areas are threatened areas of ecological importance. They range from 0 (no risk, no importance) to 3 (high risk, high importance).  They were derived from a series of data sets, including agriculture, development and toxic threats, a measure of ecological significance and an analysis of irreplaceability for a set of conservation targets. Full details of the procedure can be found in Diamond, Sowa and Foster, 2005, \"Development of Conservation Focus Area Models for EPA Region 7\".",
      "keyword": [
        "Environment",
        "Iowa",
        "Montana",
        "Kansas",
        "Tennessee",
        "Conservation",
        "Wyoming",
        "Missouri",
        "Illinois",
        "Nebraska",
        "Ecology",
        "Wisconsin",
        "Arkansas",
        "New Mexico",
        "Colorado",
        "Texas",
        "geospatial",
        "Agriculture",
        "020:072",
        "Minnesota"
      ],
      "modified": "2011-07-15",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 7"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Holly Mehl",
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      },
      "identifier": "4C2670A1-6673-488A-AA2C-1CF4EE9332CA",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "bbox": "POLYGON((-106.238329 32.269043, -87.931274 32.269043, -87.931274 46.281064, -106.238329 46.281064, -106.238329 32.269043))"
        }
      ],
      "issued": "2011-07-15",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R7/ECO_FOC_GEO10.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/terrestrial-conservation-focus-areas-greater-than-10-hectares-eco-res-ecofoc-geo10/about",
          "description": "EPA's Clip and Ship Hub Site for download",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-7-midwest",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 7 Significant Ecological Resource Areas (ECO_RES.SIG_REGIONS)",
      "description": "SIG_REGIONS is a boundary layer that displays Region 7's Significant Ecological Resource Areas.  This layer represents large areas within which different ecosystem types occur, such as the Prairie Pothole wetland depressions in northern Iowa or the Flint Hills tall grasslands in eastern Kansas.  Note: a particular ecosystem type may not be contiguous throughout an entire polygon; rather, that ecosystem type can be found there.",
      "keyword": [
        "Biology",
        "Ecosystem",
        "geospatial",
        "Kansas",
        "Conservation",
        "Environment",
        "Ecology",
        "Land",
        "Missouri",
        "Iowa",
        "Nebraska",
        "Management",
        "020:072",
        "Natural Resources"
      ],
      "modified": "2026-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 7"
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      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Holly Mehl",
        "hasEmail": "mailto:mehl.hollis@epa.gov"
      },
      "identifier": "B9467FC0-3D5B-41CF-844C-4AFCA109A305",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-104.331105 35.921089, -88.343928 35.921089, -88.343928 43.641189, -104.331105 43.641189, -104.331105 35.921089))"
        }
      ],
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/region-7-significant-ecological-resource-areas-eco-res-sig-regions/about",
          "description": "EPA's Clip and Ship Hub site for download",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-7-midwest",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "County Subdivisions, Population, and Household Wood Fuel Usage -  US EPA Regions 1, 2, 3, 9 (2022) and 10 (2024)",
      "description": "This hosted feature layer, displayed in the Valley Identification Tool, contains the following layers: US Census County Subdivisions in US EPA Regions 1, 2, 3, 9 and 10. EPA overlaid topographic Valleys (from USGS 30m NED) with US Census County Subdivisions, population (EPA Dasymetric, 2010) and household wood fuel usage (American Community Survey snapshot) to find where people may be vulnerable to wood smoke pollution during winter thermal inversions.",
      "keyword": [
        "Delaware",
        "Climate",
        "Washington DC",
        "Maine",
        "Environment",
        "Health",
        "Connecticut",
        "Maryland",
        "New Jersey",
        "New Hampshire",
        "Arizona",
        "New York",
        "Natural Resources",
        "Downloadable Data",
        "Vermont",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "California",
        "Virginia",
        "020:072",
        "Massachusetts",
        "Human"
      ],
      "modified": "2026-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Alexandra Dichter",
        "hasEmail": "mailto:dichter.alexandra@epa.gov"
      },
      "identifier": "7F9ECDC7-0115-476B-B091-8C8F930208C5",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
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          "@type": "Location",
          "bbox": "POLYGON((-127.271283 29.330805, -66.007288 29.330805, -66.007288 50.139135, -127.271283 50.139135, -127.271283 29.330805))"
        }
      ],
      "accrualPeriodicity": "irregular",
      "describedBy": {
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        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-1-new-england",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 1 Engineered Controls Lines",
      "description": "Resource Conservation and Recovery Act engineered controls (ECs) are physical, technical measures designed to reduce or prevent human exposure to hazardous waste contamination by limiting direct contact with contaminated areas or controlling the migration of contaminants through environmental media. This data set contains line features of certain engineered controls on RCRA sites in EPA Region 1. Locations are accurate as of 4/15/2020 and should have corresponding information in RCRAInfo.",
      "keyword": [
        "Maine",
        "Environment",
        "Facilities",
        "Remediation",
        "Connecticut",
        "Compliance",
        "Cleanup",
        "Regulatory",
        "020:088",
        "New Hampshire",
        "Sites",
        "Toxics",
        "Downloadable Data",
        "Vermont",
        "geospatial",
        "Waste",
        "Rhode Island",
        "Hazards",
        "Massachusetts",
        "Human"
      ],
      "modified": "1984-05-01",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "550749D7-0F76-435C-AF88-CFC24AF2D218",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.517041 41.382405, -71.411713 41.382405, -71.411713 41.766171, -73.517041 41.766171, -73.517041 41.382405))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1984-05-01",
          "endDate": "2020-06-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "1984-05-01",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::engineered-controls-lines-/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 1 Engineered Controls Points",
      "description": "Resource Conservation and Recovery Act engineered controls (ECs) are physical, technical measures designed to reduce or prevent human exposure to hazardous waste contamination by limiting direct contact with contaminated areas or controlling the migration of contaminants through environmental media. This data set contains point locations of certain engineered controls on RCRA sites in EPA Region 1. Locations are accurate as of 4/15/2020 and should have corresponding information in RCRAInfo.",
      "keyword": [
        "Maine",
        "Environment",
        "Facilities",
        "Remediation",
        "Connecticut",
        "Compliance",
        "Cleanup",
        "Regulatory",
        "020:088",
        "New Hampshire",
        "Sites",
        "Toxics",
        "Downloadable Data",
        "Vermont",
        "geospatial",
        "Waste",
        "Rhode Island",
        "Hazards",
        "Massachusetts",
        "Human"
      ],
      "modified": "2020-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "DBDCCD12-8859-448A-9ED1-3853506D4E9D",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.437571 41.230847, -68.824075 41.230847, -68.824075 44.740645, -73.437571 44.740645, -73.437571 41.230847))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1984-05-01",
          "endDate": "2020-06-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2020-06-19",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::engineered-controls-points--1/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-1-new-england",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 1 Engineered Controls Polygons",
      "description": "Resource Conservation and Recovery Act engineered controls (ECs) are physical, technical measures designed to reduce or prevent human exposure to hazardous waste contamination by limiting direct contact with contaminated areas or controlling the migration of contaminants through environmental media. This data set contains polygon features of certain engineered controls on RCRA sites in EPA Region 1. Locations are accurate as of 4/15/2020 and should have corresponding information in RCRAInfo.",
      "keyword": [
        "Maine",
        "Environment",
        "Facilities",
        "Remediation",
        "Connecticut",
        "Compliance",
        "Cleanup",
        "Regulatory",
        "020:088",
        "New Hampshire",
        "Sites",
        "Toxics",
        "Downloadable Data",
        "Vermont",
        "geospatial",
        "Waste",
        "Rhode Island",
        "Hazards",
        "Massachusetts",
        "Human"
      ],
      "modified": "2020-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "B5D6C031-AF03-451D-A929-ECD387CA27EE",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.437577 41.074248, -68.822837 41.074248, -68.822837 44.743492, -73.437577 44.743492, -73.437577 41.074248))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1984-05-01",
          "endDate": "2020-06-19"
        }
      ],
      "accrualPeriodicity": "irregular",
      "issued": "2020-06-19",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::engineered-controls-polygons--1/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 1 Combined Sewer Outfalls",
      "description": "CSO attributes and location information are from a variety of datasets for each state:\n\nConnecticut: Beginning with GIS data compiled by the Connecticut Department of Energy and Environmental Protection (“CT DEEP”) and displayed on their CSO Right-to-Know site (https://portal.ct.gov/DEEP/Municipal-Wastewater/Combined-Sewer-Overflows-Right-to-Know), EPA filtered the data for the purposes of this map and made corrections based upon updated information available in EPA’s files. EPA’s map only displays municipalities with CSO outfalls, whereas CT DEEP’s map includes municipalities with CSO-related bypasses at their Wastewater Treatment Facilities (but no Combined Sewer Collection System CSO outfalls). EPA’s map only displays CSO outfalls – the point at which CSOs are discharged to the receiving water - whereas CT DEEP’s map includes CSO regulators (the structure through which wastewater and stormwater exits the conveyance pipe towards the Wastewater Treatment Facility).\n\nMaine: Service containing both facility and outfall locations permitted under the Maine Pollution Elimination System (MEPDES) and administered by the Maine Department of Environmental Protection (MEDEP). The data has been collected using multiple methods over 2 decades under the direction of the Maine DEP GIS Unit. All location data was quality checked by MEDEP MEPDES Inspectors and GIS Unit staff in 2018.\n\nMassachusetts: Attribute and location information from a combination of MassDEP CSOs(https://mass-eoeea.maps.arcgis.com/apps/webappviewer/index.html?id=08c0019270254f0095a0806b155abcde) (metadata - https://mass-eoeea.maps.arcgis.com/home/item.html?id=0262b339c2c74213bdaaa15adccc0e96) and NPDES permits(https://www.epa.gov/npdes-permits/massachusetts-final-individual-npdes-permits).\n\nNew Hampshire: Active CSO outfalls collected from NH NPDES permits(https://www.epa.gov/npdes-permits/new-hampshire-final-individual-npdes-permits). EPA made corrections based upon updated information available in EPA’s files.\n\nRhode Island: RI CSO Outfall Point Features. The outfalls managed by the Narragansett Bay Commission are downloadable from a GIS file through RIGIS (Rhode Island Geographic Information System https://www.rigis.org/datasets/nbc-sewer-overflows/explore?location=41.841121%2C-71.414224%2C13.57&showTable=true). Data was intended for use in utility facility engineering structure inventory. Last updated: 2019. Downloaded: 11/19/2021. Metadata (https://www.arcgis.com/sharing/rest/content/items/2108bab269df47f988e59c18a556f37d/info/metadata/metadata.xml?format=default&output=html)\n\nVermont: Attribute and location information from Vermont Open Geodata Poral (https://geodata.vermont.gov/datasets/VTANR::stormwater-infrastructure-point-features/explore?location=43.912839%2C-72.414150%2C9.29). Point, line, and polygon data was collected and compiled through field observations, municipal member knowledge, ortho-photo interpretation, digitization of georeferenced town plans and record drawings, and state stormwater permit plans. Accuracy of all data is for planning purposes and field verification is at the user’s discretion. VT Layer: Stormwater Infrastructure (Point Features) Metadata (https://www.arcgis.com/sharing/rest/content/items/5c9875ee609c4586bd569dbacb2d92f1/info/metadata/metadata.xml?format=default&output=html).\n",
      "keyword": [
        "geospatial",
        "Maine",
        "New Hampshire",
        "Rhode Island",
        "020:120",
        "Connecticut",
        "Water",
        "Massachusetts",
        "Downloadable Data",
        "Vermont"
      ],
      "modified": "2026-05-20",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Alexandra Dichter",
        "hasEmail": "mailto:dichter.alexandra@epa.gov"
      },
      "identifier": "35B092EE-E961-4354-B0CE-49E3D00DCE04",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.0 40.0, -66.0 40.0, -66.0 50.0, -74.0 50.0, -74.0 40.0))"
        }
      ],
      "distribution": [],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Raine Locations",
      "description": "New England communities are taking action to adapt to the impacts of climate change in new and creative ways. This database catalogs what is happening so we can learn from these experiences, share lessons being learned, discover how to better assist municipalities, and promote collaboration. RAINE provides information about actions at the state, regional or local level. It not only includes links to web pages, reports and plans but also examples of presentations that communities use to engage their citizens, what tools they used to identify their vulnerabilities and who funded their projects.",
      "keyword": [
        "geospatial",
        "Environment",
        "United States",
        "020:033"
      ],
      "modified": "2024-10-10",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Alexandra Dichter",
        "hasEmail": "mailto:dichter.alexandra@epa.gov"
      },
      "identifier": "EC345BAD-2C62-4449-9F77-12B3B5DD0394",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-74.0 40.0, -66.0 40.0, -66.0 48.0, -74.0 48.0, -74.0 40.0))"
        }
      ],
      "issued": "2024-10-10",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/data/PUBLIC/R1/RAINE.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://www.epa.gov/aboutepa/epa-region-1-new-england",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "EPA RCRA Corrective Action Activity and Use Limitation Boundary Data, U.S. EPA Region 1 ",
      "description": "This GIS dataset contains features depicting RCRA Corrective Action sites from EPA Region 1. The Resource Conservation and Recovery Act (RCRA), among other things, helps ensure that wastes are managed in an environmentally sound manner so as to protect human health and the environment from the potential hazards of waste disposal. EPA and 44 authorized states and territories run the Resource Conservation and Recovery Act (RCRA) Corrective Action program to work with hazardous waste facilities to investigate and clean up any release of hazardous waste into the soil, ground water, surface water and air. In general, all generators, transporters and disposers of hazardous waste are required to provide information about their activities to state environmental agencies. These agencies, in turn pass on the information to regional and national EPA offices. Accidents or other activities at facilities that treat, store or dispose of hazardous wastes have sometimes led to the release of hazardous waste or hazardous constituents into soil, ground water, surface water, or air. When that happens, the RCRA Corrective Action program is one program that may be used to accomplish the necessary cleanup. This data set provides boundaries for those areas where cleanup activities are underway. RCRA Corrective Action Boundary (CAB)  and cleanup boundaries are meant to include the various boundaries associated with a site, including: institutional controls, engineering controls, land use controls, anticipated/acceptable use limitations, operable units, as well as the site or facility boundaries.",
      "keyword": [
        "Ecosystem",
        "Washington DC",
        "Environment",
        "Response",
        "Spills",
        "Canada",
        "Health",
        "Conservation",
        "Exposure",
        "Risk",
        "Hawaii",
        "Cleanup",
        "United States",
        "Regulatory",
        "020:088",
        "Alabama",
        "Energy",
        "Sites",
        "Ecology",
        "American Samoa",
        "Quality",
        "Toxics",
        "Monitoring",
        "Mexico",
        "Downloadable Data",
        "Virgin Islands",
        "Alaska",
        "geospatial",
        "Waste",
        "Hazards",
        "Puerto Rico",
        "Human"
      ],
      "modified": "2020",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "1879B2E5-4ACB-4046-B170-B17298B4D74B",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "unclassified"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-168.21454852 20.65223303, -65.68151645 20.65223303, -65.68151645 66.7110157, -168.21454852 66.7110157, -168.21454852 20.65223303))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "2020-05-13",
          "endDate": "2020-05-13"
        }
      ],
      "accrualPeriodicity": "irregular",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::gpra-2020-rcra-aul-boundaries-r1/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "GPRA 2020 RCRA Site Points, EPA Region 1 ",
      "description": "Data displaying property locations for all 296 Resource Conservation and Recovery Act Corrective Action Government Performance and Results Act (RCRA CA GPRA) 2020 sites in Region 1.",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "geospatial",
        "020:088",
        "Cleanup",
        "Exposure",
        "Land",
        "Facilities",
        "Risk",
        "Toxics",
        "Remediation",
        "United States",
        "Human",
        "Downloadable Data"
      ],
      "modified": "2020-06-19",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "0E20CBC5-1523-4C71-B0E6-ACE2D87EEEB3",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "rights": [
        "licenseUnrestricted"
      ],
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.549819 41.03645, -67.000661 41.03645, -67.000661 47.35736, -73.549819 47.35736, -73.549819 41.03645))"
        }
      ],
      "temporal": [
        {
          "@type": "PeriodOfTime",
          "startDate": "1984-05-01",
          "endDate": "2020-06-19"
        }
      ],
      "accrualPeriodicity": "R/P1Y",
      "issued": "2020-06-19",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::gpra-2020-rcra-site-points-r1-1/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Region 1 RCRA CA Property Boundaries",
      "description": "Property boundaries as indicated in figures of all facilities subject to RCRA Corrective Action on the 2020 baseline in Region 1.\n\nFor more information on the RCRA Corrective Action dataset, please visit the following link for the extended metadata:\n\nhttps://www.epa.gov/hw/learn-about-hazardous-waste-cleanups",
      "keyword": [
        "Regulatory",
        "Contaminant",
        "geospatial",
        "020:088",
        "Cleanup",
        "Exposure",
        "Land",
        "Facilities",
        "Risk",
        "Toxics",
        "Remediation",
        "Compliance",
        "United States",
        "Human",
        "Downloadable Data"
      ],
      "modified": "2024-03-05",
      "publisher": {
        "@type": "org:Organization",
        "name": "U.S. Environmental Protection Agency, Region 1"
      },
      "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Miranda Fernandez",
        "hasEmail": "mailto:Fernandez.Miranda@epa.gov"
      },
      "identifier": "E508A2B1-4B9F-4194-8CB1-F930AE478220",
      "accessLevel": "public",
      "bureauCode": [
        "020:00"
      ],
      "programCode": [
        "020:072"
      ],
      "license": "https://edg.epa.gov/EPA_Data_License.html",
      "spatial": [
        {
          "@type": "Location",
          "bbox": "POLYGON((-73.550296 41.035888, -66.996424 41.035888, -66.996424 47.358535, -73.550296 47.358535, -73.550296 41.035888))"
        }
      ],
      "issued": "2024-03-05",
      "distribution": [
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg-epa.hub.arcgis.com/datasets/EPA::gpra-2020-rcra-property-boundaries-r1-1/about",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        },
        {
          "@type": "dcat:Distribution",
          "downloadURL": "https://edg.epa.gov/EPADataCommons/public/R1/Region1_RCRA_CA_GIS_DATA.gdb.zip",
          "license": "https://edg.epa.gov/EPA_Data_License.html"
        }
      ],
      "accessRights": "public"
    },
    {
      "@type": "dcat:Dataset",
      "title": "Hydrological Response Units (HRUs) at a regional-scale for the SNEP region within Massachusetts and Rhode Island",
      "description": "I.  SNEP HRU Project Background\nThe Southeast New England Program (SNEP) region consists of watersheds in Massachusetts and Rhode Island that primarily drain into Narragansett Bay, Buzzards Bay, or Nantucket Sound. It encompasses all or portions of 134 municipalities many of which are highly developed. The region faces multiple water quality issues with stormwater being previously identified a major contributor. These maps have been generated for all 134 Municipalities including 81 subwatersheds in the SNEP region to provide organizations and municipalities a way to understand where significant stormwater pollution may be originating. For organizations or municipalities with GIS capabilities the data that created these maps is available as well.\nII.  What are HRUs?\nHydrologic Response Units (HRUs) describe a landscape through unique combinations of land use and land cover (residential, commercial, forest, etc.), soil types (A, B, C, D), and additional characteristics such as slope, and impervious cover. These landscape characteristics, or HRUs, provide the building block to quantify stormwater pollutant loads (nitrogen, phosphorus, and total suspended solids (TSS)) originating from a given land area. The HRUs and nutrient pollutant loads in stormwater provides a baseline from which reduction targets can be created.\nIII.  How can HRUs be used?\nThese maps and their underlying data can provide critical information to municipalities, watershed organizations, EPA, and others to assess stormwater pollutant loads in SNEP watersheds. EPA expects that this information will facilitate further understanding of the distribution of stormwater pollutant load source areas throughout the watersheds. This information serves to advance a broader understanding of stormwater impacts and potential management options by the public and direct stakeholders. Consistent HRUs may help municipalities implement MS4 permitting requirements and facilitate stormwater management strategies, such as land use conversion, stormwater Control Measure (SCM) siting, and targeting areas for conservation. HRU mapping can identify best locations for SCMs and can be utilized with additional stormwater planning tools (such as EPA’s Opti-Tool) to develop a cost-effective stormwater management plan. By providing a consistent HRU map for the SNEP region, practitioners can focus their efforts on implementation of SCM strategies rather than mapping their landscape. Hotspot mapping is a tool that integrates the HRU analysis and stormwater runoff pollutant load outputs to indicate areas where pollutant loads are highest and areas that stormwater controls may be best implemented. The HRUs and pollutant loads can be overlayed with parcel analysis to determine which parcels have high loads/areas of large impervious cover. The parcel data can help towns prioritize their efforts by determining the properties with highest potential to reduce pollutant loads through stormwater controls. Similarly, it can help determine which properties have large stormwater pollutant loads. \nIV.  Other Resources\nHRUs That have been completed by EPA - Taunton River Watershed FDC Project and Tisbury, MA IC Disconnection Project \nThe Cape Cod Commission developed HRUs for Barnstable County (CCC: Barnstable County HRUs).\nThe UNH Stormwater Center developed parcel level hotspot mapping in New Hampshire for municipalities to prioritize where new BMPs should be placed (UNHSC: NH Hotspot Mapping).",
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          "title": "HRU Analysis for SNEP Region | HRU Mapping Approach",
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      "title": "Valleys - US EPA Regions 1, 2, 3, 9 (2022) and 10 (2024)",
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        "Connecticut",
        "Maryland",
        "New Jersey",
        "New Hampshire",
        "Arizona",
        "New York",
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        "Vermont",
        "Air",
        "West Virginia",
        "geospatial",
        "Pennsylvania",
        "Nevada",
        "Rhode Island",
        "California",
        "Virginia",
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      "description": "The Valley Identification Tool web mapping application includes Valleys (locations that are lower than surrounding areas, derived from USGS 30m DEM), population in valleys (reallocated within Census block groups), and households heated primarily with wood (American Community Survey, most recent at time of processing), which are summarized by Census County Subdivision. Other layers included in the Valley Identification Tool web map include 2017 National Emissions Inventory (NEI) facilities, Tribal areas, and air monitors data.\n\nCreated by US EPA Region 1 GIS Center; and implemented in EPA Regions 2, 3 and 9 in 2022 and Region 10 in 2024 by regional GIS staff, US EPA Office of Mission Support (OMS).",
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        "Maryland",
        "New Jersey",
        "New Hampshire",
        "Arizona",
        "New York",
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        "West Virginia",
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}